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| BEV or FCEV?
The complementary roles
of Battery and Fuel Cell
electric Trucks
BEV or
FCEV?
Zero Emission. Full Power. Better Future.
Have you heard about
the new normal?
| BEV or FCEV?
1. Executive Summary 4
2. Introduction 8
3. The Energy Efficiency Argument 12
4. Powertrain Considerations 14
5. Charging/Refueling Considerations 20
6. Energy Considerations 26
7. Complementary Roles of BETs and FCETs 32
8. References 38
9. Disclaimer 39
Contents
4
We are witnessing a concerted push towards
decarbonization cutting across all industries
and geographies. This is very evident in the
road transport sector where we are witnes-
sing a rapid increase in the adoption of elec-
tric vehicles, especially in the bus and light
vehicle segments. Heavy duty vehicles sector,
on the other hand, has been a bit behind the
curve given the significant challenges in transi-
tioning them towards efficient, cost-competiti-
ve, and dependable zero emission alternatives.
Though they account for only a small share of
all vehicles in operation, they are responsible
for a much higher share of the emissions from
all road transport. Stringent emission reducti-
on targets coupled with the pressure from end
customers to address emissions across their
entire value chain is now providing a much-
needed impetus for the transformation of the
vehicles in this segment.
Battery electric trucks (BETs) and fuel cell elec-
tric trucks (FCETs) are emerging as the leading
zero emission technology alternatives. Battery
electric technology, especially, has seen a lot
of advancements across sectors like transpor-
tation and energy storage, and this provides a
strong tailwind for BETs. Further, BETs have a
clear edge over FCETs in terms of energy effi-
ciency. It is simply more efficient to store elec-
tricity directly into a battery and then use it for
vehicle propulsion than using it to produce hyd-
rogen and then generating electricity from the
hydrogen in a fuel cell. This is also reflected in
the vehicle operating costs, especially consi-
dering current energy and hydrogen prices.
However, BETs also have some associated
challenges, and these have tempered the ini-
tial enthusiasm among the end customers who
were early adopters. For example, BETs are
generally much heavier than corresponding
FCETs or conventional diesel-powered trucks,
especially if they are to be used in applications
that require more onboard energy – be it for
having a greater driving range per charge, or
for negotiating more demanding driving condi-
tions (e.g., cargo weight, topography, or extre-
me weather). This requires BETs to carry much
larger and heavier batteries. Beyond this, it is
also important to consider the components
and supply chains for BETs and FCETs. In these
aspects, FCETs currently have an edge, both in
terms of geopolitical considerations and long-
term cost reduction potentials, which can help
sustainably scale the technology solutions.
Another challenge is the time required for re-
charging BETs. While considerable progress is
being made in fast charging electric vehicles,
BETs require an adaptation of driver behavior
and regulations to allow for recharging the truck
potentially during the mandatory rest period.
Further, significant investments are necessary
in terms of infrastructure and grid upgrades to
enable multiple BETs to charge in parallel, even
in remote locations, in addition to space re-
quirements at truck stops. On the other hand,
FCETs typically require much lesser times for
refueling the trucks, comparable to conventio-
nal diesel-powered trucks. On the other hand,
the cost of the charging/refueling infrastructu-
re for these vehicles is contingent on scales.
Executive Summary
| BEV or FCEV? 5
At low volume adoption, the infrastructure
costs for BETs are much lower than the cost
of setting up even a small hydrogen refueling
station (HRS). However, a HRS has the advan-
tage of being able to refuel much more trucks
in a day, leading to a better utilization rate and
amortization. In other words, with larger volume
adoption, the infrastructure costs tip in favor of
FCETs. That said, the reliability and robustness
of both chargers and hydrogen refueling net-
works needs to be standardized and improved
as the technologies mature.
In addition to vehicle powertrain and char-
ging/refueling considerations, it is also criti-
cal to examine the energy dimension. While
BETs have a higher energy efficiency, there are
certain challenges associated with electricity.
Currently, the electricity mix is itself quite car-
bon intensive in many parts of Europe and
North America, so charging a zero-emission
vehicle with such electricity simply shifts tailpi-
pe emissions upstream. Therefore, it is critical
to scale up electricity from renewables, tapping
sources like solar, wind, hydro and geothermal
power. Even then, the electricity produced
from these renewable sources is constrained
geographically and temporally, and difficult to
transport over longer distances to the point
of consumption. On the other hand, hydro-
gen is a promising energy carrier since it can
be produced in a variety of ways at locations
6
which have favorable energy economics, and
then be transported more easily to the point of
consumption. It may be produced locally from
on-shore wind or solar installations to improve
their utilization during non-peak hours, decen-
tralized at waste-to-hydrogen facilities, or at
locations with much higher wind/solar energy
availability and transported over pipelines or
maritime ships. Further, demand and supply
side factors coupled with the impetus being
provided by various institutions is expected to
help lower the cost of hydrogen as a fuel over
the long term, which would also provide a fillip
to lowering the operating costs of FCETs.
Taking all these factors into consideration, it
becomes clear that decarbonizing the heavy-
duty trucks sector is not an either/or choice
between BETs and FCETs. Instead, it is im-
portant to understand and accept that the two
technologies are complementary solutions
for end customers looking to rapidly sink their
emissions footprint. Which technology is a bet-
ter alternative is determined by the specific use
cases and operating conditions of the vehicles.
For example, with limited loads and daily ran-
ge requirements, a BET would be a favored
solution. On the other hand, for a heavy goods
long-haul transport use case, FCETs could be a
more optimal solution from a system perspecti-
ve. It is therefore crucial to consider the various
dimensions together with the end customers
on a case-by-case basis. Finally, given the re-
spective challenges that both technologies still
face, building and orchestrating an ecosystem
of strong partners, including energy players,
vehicle manufacturers, equipment providers,
logistics providers, and financial institutions
would be critical for enabling their adoption at
scale.
| BEV or FCEV? 7
Multitude
of
factors
need
to
be
considered
and
there
is
no
silver
bullet
solution
in
decarbonizing
HDTs
Energy
Efficiency
Energy
Considerations
Charging/Refueling
Considerations
Vehicle
Powertrain
Considerations
FCET
BET
BET
FCET
BET
FCET
BET
FCET
BET
FCET
Component
Supply
Security
(e.g.,
EU)
Long-term
cost
reduction
potential
Technology
&
Industrialization
Readiness
Energy
source
to
on-board
storage
On-board
storage
to
wheel
Powertrain
Weight
with
low
on-board
energy
needs
(e.g.,
low
daily
mileage)
with
high
on-board
energy
needs
(e.g.,
for
auxiliary
power)
BET
FCET
BET
FCET
CCS/MCS
HRS
CCS/MCS
HRS
CCS/MCS
HRS
Space
and
location
requirements
Ease
of
charging/
refueling
for
driver
Time
for
loading
energy
into
the
vehicle
Infrastructure
costs
at
low
deployment
scales
(e.g.,
depot
with
few
trucks)
at
high
deployment
scales
(e.g.,
large
truck
fleets)
HRS
CCS/MCS
CCS/MCS
HRS
Degree
to
which
the
alternative
is
advantageous
or
has
potential
Legend:
Electricity
Hydrogen
Geographical
&
temporal
clean
energy
availability
Carbon
intensity
and
energy
costs
Example
1:
EU
grid
vs.
domestically
produced
hydrogen
Example
2:
EU
grid
vs.
imported
hydrogen
Hydrogen
Electricity
Ease
of
energy
transportation
with
point
of
consumption
close
to
point
of
production
with
point
of
consumption
far
from
point
of
production
Electricity
Hydrogen
Electricity
Hydrogen
Electricity
Hydrogen
BET
=
Battery
electric
truck
FCET
=
Fuel
cell
electric
truck
CCS/MCS
=
Electric
fast
charging
HRS
=
Hydrogen
refueling
station
8
Greenhouse Gas Emissions from Commercial Vehicles​
Number of vehicles in operation globally
(2020, M units)
GHG emissions globally
(2020, MtCO2
)
Light Commercial Vehicles Medium Duty Trucks Heavy Duty Trucks Buses & Coaches
10 (5%)
495 (17%)
36 (17%)
587 (21%)
27 (12%)
1.183 (41%)
144 (66%)
596 (21%)
Figure 1
Heavy duty trucks (HDTs)1
are a backbone of
the global economy and supply chains. In the
US for example, trucks haul over 10.5 billion
tons of goods, making up 70% of the country’s
freight. Similarly in Europe, road tractors and
semi-trailers accounted for 77.8% of EU road
freight transport measured in ton-kilometers
and for nearly two thirds in vehicle-kilometers
in 2021. Each year, over 2 million new HDTs are
sold worldwide2
. As of 2020, this segment of
vehicles accounted for 12% of all vehicles in
operation in the world. However according to
the IEA, in the same year, they accounted for
1.2 billion metric tons of CO2
emissions glob-
ally. This represents 41% of global road freight
emissions, which in turn accounted for 9% of
global greenhouse gas emissions in 2020.
There is an increasing focus on achieving ambi-
tious climate goals and reducing carbon emis-
sions across industries. This is perceived crit-
ically especially in heavily polluting industries,
including the transportation sector. Compa-
nies are not only striving to reduce their direct
emissions (Scope 1 and Scope 2) but also the
indirect emissions arising from their complete
1. Trucks with gross vehicle weight over 16 tons.
2. Based on data from S&P IHS Markit data from May 2022.
3. 	
Greenhouse gas (GHG) Protocol Corporate Standards divide a company’s emissions into three. Scope 1 refers to direct emissions from owned or con-
trolled sources. Scope 2 refers to indirect emissions from the generation of purchased energy. Scope 3 emissions are all indirect emissions which are
not included in Scope 2 that occur along the entire value chain of the reporting company, including upstream emissions (e.g., along the supply chain) and
downstream emissions (e.g., when the vehicles are being driven in use).
Introduction
| BEV or FCEV? 9
10
4. 	
Urban distribution comprises use cases, especially within cities, with a daily mileage up to 150km, while regional distribution comprises use cases in cities and
surrounding suburbs with a daily mileage up to 250-300 km but with a return to base at the end of the day. Line-haul use cases are typically along regular and
predictable routes with a daily mileage up to 500 km. Long-haul routes are typically longer with a daily mileage exceeding 500km in ad-hoc settings with limited
predictability.
5.	
Hydrogen can also be used in internal combustion engines. However, the energy efficiency of such powertrains is only comparable to diesel powertrains, and
they also require expensive exhaust gas aftertreatment systems to address their NOx emissions. They could yet find application in certain niches where their
advantage of easier powertrain thermal management could play in their favor.
value chain including Scope 33
. Such compa-
nies are being intensively scrutinized by the
society at large, regulatory bodies, investors,
and other stakeholders. Consequently, they
are pressuring major fleet operators globally to
aggressively transition towards rapidly adopt-
ing zero-emission transportation solutions.
Dovetailing with these trends, regulators are
not only introducing entry restrictions and low
emission zones within cities, binding phase out
targets for combustion engine powered vehi-
cles, and other carbon taxes, but also simul-
taneously rolling out significant incentive and
support packages to accelerate this transition.
This also includes targets for establishing the
supply chains to address the inputs needed
for manufacturing such vehicles and the infra-
structure for supporting their usage. Against
this background, it is clear that we urgently
need zero-emission trucks as early as possible
to help fleet operators master this transition.
However, it is important to recognize that HDTs
in the road freight transport sector are hard to
decarbonize given the range of their applica-
tions. HDTs can have a gross vehicle weight
ranging from 15 tons to over 65 tons and are
used under a variety of operating conditions -
from urban/regional distribution to line-/long-
haul, and milk runs (regular routes with high
predictability) to unpredictable and varying
routes4
. Concurrently, since they are capital
intensive goods, fleet operators typically have
high uptime requirements from such vehicles.
Therefore, reliability, performance, and effi-
ciency play a key role, in addition to total cost
of ownership considerations. Zero-emission
transportation solution for HDTs must help ad-
dress their carbon footprint without adversely
impacting any of these operational consider-
ations.
In recent years, various ideas have been under
exploration to address this challenge, including
electric powertrains, use of synthetic fuels or
hydrogen in combustion engines, and dynamic
on-route charging through overhead lines or
along the road surface. Each of these alterna-
tives has its own advantages and associated
challenges. However, from a long-term per-
spective, electric powertrains are emerging
as the strongest contenders for decarbonizing
HDTs.
Significant progress is especially being made
in the development of battery electric trucks
(BETs), benefitting in the slipstream generat-
ed by the rapid electrification in the light pas-
senger vehicle segment. Battery electric ve-
hicles have some distinct advantages which
make them a very attractive solution for many
vehicle segments. These advantages, such as
their energy efficiency, are well documented.
| BEV or FCEV? 11
Climate Change
Increasing societal awareness regar-
ding climate change and its resulting
effects globally
End Customer Needs​
Push towards decarbonization and
reduction of Scope 3 emissions across
industry sectors putting emphasis on
zero emission transport/logistics
Regulations
Push for achieving national/regional
climate targets, ICE vehicle access
restrictions/phase-out targets
Investor Focus
Increasing emphasis on ESG
ratings with performance
dictating capital access and
investment flows
Incentives
Various policies supporting zero emission
vehicle purchase and infrastructure de-
velopment (e.g., EU Green Deal, US Inflation
Reduction Act)
Tailored Solutions
Increasing recognition of the diversity
of CV applications and acceptance that
there is no single silver bullet technolo-
gy solution to decarbonize this sector
Factors promoting the adoption of zero emission commercial vehicles​
Figure 2
However, in case of HDTs, the tough and var-
ied operating conditions have drawn a deeper
attention to some of their drawbacks. As in the
case of other hard-to-abate industry sectors,
the use of hydrogen is showing promise in de-
carbonizing such use cases through the appli-
cation of fuel cell electric trucks (FCETs)5
. It is
therefore crucial to understand and evaluate
the BET and FCET powertrain and component
technologies and their respective advantages
and challenges.
Concurrently, such alternative powertrain solu-
tions also engender a shift away from an exist-
ing ubiquitous diesel fuel infrastructure. Apart
from the higher acquisition costs, a major bar-
rier in the adoption of BETs and FCETs is the
current lack of recharging and hydrogen refu-
eling infrastructure respectively. In its absence,
HDT operators have been hesitant to purchase
and incorporate such vehicles into their fleet
mix. Therefore, it is not only essential to ex-
amine the vehicle and powertrain technology
itself, but also the outlook for the supporting
energy infrastructure.
The powertrain technologies needed for clean
future mobility are at various stages of their
development and have differing levels of tech-
nological and industrialization maturity. For
example, the currently announced production
volumes of BETs and FCETs represents less
than 5% of the global annual truck sales. Con-
sequently, there is a lot of debate around their
suitability towards being leveraged for decar-
bonizing the transport and energy sectors.
Given this background, this paper takes a nu-
anced view of the intricacies involved in adopt-
ing them for zero-emission trucks. Broadly, it
explores energy and vehicle powertrains as-
pects of BETs and FCETs. On this basis, the
role of BETs and FCETs to enable a rapid de-
carbonization of road freight transportation are
discussed.
12
Time Time to plateau will be reached: 2-5 5-10 10
2
Automotive Metaverse
Blue Hydrogen
FCETs
FUEL CELL ELECTRIC
PASSENGER CARS
BETs
BATTERY ELECTRIC
PASSENGER CARS
Fuel Cells
Automotiv/Digital Energy
Hydrogen Electrolyzers
Floating offshore Wind Turbines
EV Advanced efficiency Tech
Green Hydrogen
AI Battery Management
Solid-State-Batteries
EV Smart Charging
Car Wallet
Car wireless Network
Vehicle Digital Twin 2.0
Expectations
innovation
trigger
peak of inflated
expectations
trough of
disillusionment
slope of
enlightenment
Plateau of
productivity
yrs. yrs. yrs. yrs.
Topic:
Green Ammonia
Utility-scale Lithium-Ion Batteries
Autonomous Vehicles
Over-the-Air Software Updates
Inspired by hype cycles from Gartner, Inc.
Figure 3
Relative technology and industrialization readiness of BETs and FCETs
An indisputable and much touted advantage of
BETs is their energy efficiency. A battery elec-
tric powertrain has the highest efficiency in
converting the energy input into energy at the
wheel. In BETs, the energy for operating the
vehicle is stored in batteries, with lithium-ion
batteries being the dominant and entrenched
technology in the foreseeable future. This elec-
trical energy is transferred into mechanical en-
ergy at the driven wheels through the on-board
power electronics, electric motor, and trans-
mission.
On the other hand, the energy for operating the
vehicle in FCETs is stored as hydrogen in com-
pressed gaseous or liquid state in tanks. Inside
the fuel cell, the hydrogen is fed into the anode
while air is fed into the cathode. A catalyst at
the anode separates the hydrogen molecules
into protons and electrons which flow to the
cathode separately. Electricity is a result of the
electrons flowing through the external circuit.
This electrical energy is transferred into me-
chanical energy at the driven wheels like in the
case of BETs. Additionally, FCETs also have a
The Energy Efficiency Argument
| BEV or FCEV? 13
Key dimensions for evaluating
BETs and FCETs
Energy
considerations
Charging/refueling
considerations
Powertrain
considerations
Figure 4
lithium-ion battery on board to for additional/
backup power requirements, though it is much
smaller than in case of a BET.
From a “tank-to-wheel” efficiency perspec-
tive (i.e., the efficiency of converting the ener-
gy from the storage to the energy available at
the driven wheel), battery electric powertrains
are a clear winner with over 70% of the energy
efficiency. In comparison, fuel cell powertrains
typically have over 40% energy efficiency, while
internal combustion engines have less than
35%. Another way of viewing this is by mea-
suring how much energy (in kWh) is consumed
to drive each kilometer. A recent study by The
International Council for Clean Transportation
(ICCT) calculated that while FCETs consume 10-
12% lower energy than diesel powered trucks
in long-haul applications, BETs consume about
50% lesser energy than FCETs. Similarly, they
calculated that in regional delivery use cases,
FCETs consume 20-24% lesser energy than
diesel trucks, but again, BETs require only half
the energy in comparison to FCETs.
Similarly, from a “well-to-tank” perspective (i.e.,
the efficiency of energy production, transport,
and distribution), it is more efficient to store
energy directly into a battery – this has an
efficiency of about 85-90% after accounting
for potential losses in transmission and vehicle
battery charging. On the other hand, green
hydrogen6
is produced through electrolysis,
which can have up to 20% efficiency loss. The
hydrogen thus produced must be compressed/
liquified for transportation through ships or
pipelines7
, and then made available at the re-
fueling station. This process could account for
another 24% efficiency loss, as estimated by
the Hydrogen Council.
However, decisions for adoption of zero-emis-
sion HDTs in fleets are not made purely based
on the energy efficiency of the vehicles. From
a real-world perspective, it is insufficient and
one-dimensional to look at the energy costs or
efficiencies in isolation, albeit one would expect
the most efficient solution to also be the most
cost effective one. The challenge of decarbon-
izing the HDT sector needs to be viewed at a
system level through a multidimensional lens.
It is necessary to juxtapose supply-side factors
such as the maturity of the technologies, green
energy production and supply, and availability
of supporting charging/refueling infrastructure
against demand-side factors such as the cost,
operational efficiency, and uptime require-
ments of transport operators.
6. 	
Depending on how it is produced, hydrogen is labelled with various colors. Green hydrogen is the one produced without any GHG emissions, typically by using
clean electricity from renewable sources like solar or wind power to electrolyze water. Sometimes, the hydrogen produced by using solar energy is also labelled
as yellow. Another option is to use nuclear energy, in which case the hydrogen produced is labelled as pink, purple, or red. However, the most common method
of hydrogen production currently is through steam methane reforming process – this has a large GHG emission associated with it and is labelled as gray hydro-
gen. If the emitted carbon dioxide is captured and stored in this process, it is labelled as blue hydrogen. However, it is important to note that blue hydrogen may
not necessarily be zero carbon, since not all carbon is captured and any methane leakages during its production can sizably contribute to global warming.
7.	
Hydrogen may also be converted into derivatives like ammonia and transported. This would have additional associated costs and efficiency losses, especially
if the derivative must be reconverted into gaseous or liquid hydrogen. However, this makes sense for end applications where there is a need for that derivative,
e.g., for chemical or fertilizer industries.
14
Powertrain Considerations
The biggest cost component of a BET is the
battery. For an FCET on the other hand, the
major cost component currently are the fuel
cell systems and hydrogen tanks. Other com-
ponents like e-axles, electronics, and motors,
are not as significant differentiators between
BETs and FCETs. Therefore, we focus on the
technology, supply chain, and cost aspects of
batteries and fuel cell systems in this section.
A lot of progress has been made in the last
decade in battery technology, especially for
passenger cars. As a result, significant invest-
ments are flowing into establishing battery gi-
gafactories globally to cater to the demand for
battery electric passenger vehicles. Despite
this progress, it is important to closely exam-
ine battery technology and supply chains in the
context of heavy-duty trucks. Recent studies
from global consulting firms indicate that be-
yond the battery demand from passenger ve-
hicles, the additional demand from BETs would
amount to 275-300 GWh of batteries by 2030.
While a lot of battery gigafactory investments
and announcements have been made in Eu-
rope and North America in the last few years,
the challenges in setting up, operationalizing,
and scaling them are now also becoming evi-
dent.
Lithium-ion batteries are the dominant tech-
nology currently in battery electric vehicles,
specifically with two major cathode chemis-
tries finding main application. The first is with
Nickel-Manganese-Cobalt (NMC) cathodes.
These have witnessed rapid advances in the
last decade with battery manufacturers striv-
ing to decrease the Cobalt content (for supply
chain reasons) and increasing the Nickel con-
tent (to increase energy density). In the last two
years, material price volatility, especially in bat-
teries with Nickel-Cobalt-Manganese (NMC)
cathodes, has seen a renewed interest in com-
paratively lower cost battery chemistries like
Lithium Iron Phosphate (LFP) cathodes. In com-
parison to NMC, LFP is a more mature technol-
ogy, though they are comparatively heavier and
have a lower energy density. LFP is especially
entrenched as a technology choice in the bus
sector and is also being evaluated as an option
for mass market battery electric passenger ve-
hicle segment, light commercial vehicles and
HDTs with lighter cargo carrying requirements
with return-to-base use cases. Technology ad-
vancements like chemistries using even higher
Nickel content, silicon anodes, and solid-state
batteries are seen as potential solutions to in-
crease their energy density and range of BETs.
However, these technologies are still in their
nascency and lack of industrial readiness, thus
likely having much higher cost levels in the
foreseeable future.
Concurrently, despite the progress being
made in battery technologies in general, there
is insufficient understanding on a cell level im-
pact of vehicle use cases. As a result, there is
a lot of work being done leveraging advanced
| BEV or FCEV? 15
data processing and artificial intelligence ap-
proaches to better model and evaluate batter-
ies in terms of their charging and discharging
behaviors, state of health (SoH), degradation
over lifetime, residual values, and recyclability.
On the other hand, technology for fuel cells
as well as for hydrogen generation has been
available for years. Indeed, there are some as-
sociated technical challenges with adapting
the systems to HDT applications like manag-
ing the high-pressure hydrogen gas (at 700 or
even 1000 bar pressure) without corrosion or
leakages to decrease fuel consumption, ensur-
ing robustness and safety, and overall perfor-
mance at higher power ratings. These are seen
as surmountable though since there is already
a widespread knowledge of and familiarity with
fuel cell components in the automotive indus-
try. Through these advancements, the hydro-
gen fuel consumption as well as required hy-
drogen tank sizes are expected to decline in
the future.
The major challenge now for fuel cell systems
is scaling them and reducing costs, which can
only come when there is a higher penetra-
tion of fuel cell vehicles. This is the proverbi-
al chicken-and-egg issue, as it has also been
the case with battery electric vehicles in the
last few years. The technical know-how and
familiarity with the technology is expected to
be instrumental in achieving cost decreases
through economies of scale as large volume
production lines are set up and standardized.
Taking fuel cell buses as an example, the vehi-
cle prices are now one-third of what they were
a decade ago, thanks to technological and
product innovations. Leading fuel cell manufac-
turers have already launched eighth generation
fuel cells now, with over 30% cost reductions
between successive fuel cell module genera-
16
Source: European Commission, Joint Research Centre: „Critical Raw Materials
for Strategic Technologies and Sectors in the EU - A Foresight Study“
Figure 5
Raw
materials
Processed
materials Components
Very low
Low
Moderate
High
Very high
Assemblies
Battery
Fuel cell
Identified supply risks for the EU and EU shares of production
9%
1% 8% 0%
40% 25%
5% 1%
tions. Similarly, the industry is also witnessing
price reductions in hydrogen storage tanks
and fuel cell electric powertrains at a system
level. Even with an annual production of about
10,000 FCETs, over 60% cost reductions in fuel
cells are expected. This would be in line with
the targets from the US Department of Energy
of achieving less than US$100/kW for an annu-
al production of 150,000 systems a year. Fac-
toring in these aspects, an FCET is expected
to reach cost parity with a BET within the next
few years.
Similarly, as mentioned earlier, larger scale
production of BETs would entail a correspond-
ing scaling of battery production. A direct im-
plication of the large-scale
manufacturing of lithium-ion
batteries would
be on the sup-
ply of raw mate-
rials for meet-
ing the demand
accruing from it. Be it lithium, nickel, or cobalt,
the process of identifying sites, building new
mines, and scaling their production output
can take many years. However, current invest-
ments into this sector are lagging. As a result,
mid-term bottlenecks are expected to lead
to a demand-supply imbalance8
. Industry ex-
perts especially highlight that lithium is likely
to be the most critical raw material between
2025 to 2035 given that technological options
for substituting it are limited, current recycling
technologies have limited recovery rates, and
new Lithium mine development takes up to
ten years. The lithium supply bottlenecks are
already manifesting in price increases for the
material. Forecasts from Bloomberg New En-
ergy Finance earlier in 2022 suggested that
for the first time since 2010, there could be a
year-on-year increase in battery prices this
year amid rising raw material and component
costs. It stands to reason however that battery
prices will definitely fall over the long term as
their supply chains scale up.
8. 
Sodium-ion batteries are still in a nascent stage of development but could potentially play a role in applications like energy storage devices. However,
it does not have the energy density and performance required for much more demanding HDT applications. Other alternatives being investigated and
developed, such as metal-air batteries, are further away from achieving any technological readiness.
| BEV or FCEV? 17
At the same time, it is also important to gauge
the geopolitical risks in lithium-ion battery sup-
ply chains. A recent EU Foresight Study evalu-
ated the risks in the supply chain for batteries
and fuel cells. Supply chains for batteries are
currently highly concentrated in far east Asia,
with both Europe and North America looking to
localize strategically important portions of the
value chains. Given that current upstream and
midstream processing is heavily dominated by
Asian players, strategic independence is seen
as necessary, but it will take time to achieve.
However, with time, the metals mined in the
future will not come cheap as resources are
likely to get increasingly complicated to exploit
due to lower ore grades, depth, and tighter
regulations. Recycling of batteries is expected
to alleviate at least a part of the metal supply
crunch, but these technologies are still in ear-
ly phase of industrialization and there is limit-
ed experience and knowledge on the perfor-
mance of batteries manufactured with recycled
materials.
In comparison, FCETs are less dependent on
rare or constrained metals and commodities.
Instead, these systems are produced mainly
from carbon, steel, and aluminum manufac-
tured parts. Further, only a small fraction of
the materials is needed for making fuel cell
powertrains in comparison to the material re-
quired for battery electric powertrains, which
gives OEMs more certainty over price fluctua-
tions. Depending on the powertrain and vehi-
cle, the material requirement in an FCET could
be 15-20% of the corresponding requirement
in a BET. Proton exchange membrane (PEM)
fuel cells are currently the dominant technol-
ogy used in automotive applications. While
these use platinum as a catalyst, no shortag-
es of this expensive metal are expected in the
foreseeable future even if fuel cell production
scales are ramped up. At the same time, fuel
cells have very high levels of reusability and
recyclability. Since the platinum in the fuel cell
does not react in a way that makes it hard to
recover or reuse, it is much easier to recycle
them at the end of their lifecycle. For example,
already today, the platinum used in the catalytic
converters in vehicles with internal combustion
engines are being recycled easily.
Another major advantage of FCETs over BETs
is the weight of the powertrain. FCET power-
trains have a weight comparable to the pow-
ertrains in conventional diesel trucks today.
On the other hand, the powertrain of a 44-ton
BET can typically weigh over twice as much
as a corresponding FCET powertrain in long-
haul application requiring a 700 km range. This
is because the battery size is directly propor-
tional to the power requirement of the vehicle.
Even in case of line-haul application with a 400
km range requirement, a BET battery is expect-
ed to weigh 1.5 times as much as a correspond-
ing FCET powertrain. In fact, based on these
assumptions, a sensitivity analysis shows that
an FCET powertrain is lighter than a BET bat-
tery for a 44-ton HDT with ranges over 200 km.
In the US where long-haul trucks frequently
have a daily mileage exceeding 600 miles9
, this
becomes especially critical.
9. 
The daily mileage is comparatively lower in Europe since there are stricter limitations on drivers’ hours of service and maximum permissible speeds.
18
Variation of BET and FCET powertrain weights for a 44-ton tractor
with increasing range on single charge/refueling
Assumptions: Energy consumption of 160 kWh/100km, FCET buffer battery size of 110 kWh,
240 kW fuel cells, battery weight of ~6.3kg/kWh
..........................................................................................................................................
..........................................................................................................................................
..........................................................................................................................................
..........................................................................................................................................
..........................................................................................................................................
..........................................................................................................................................
10000
8000
6000
4000
2000
0
100 200 300 400 500 600 700 800 900
BET
FCET
Figure 6
BET
Without Energy
Battery: 700 kg
Other
aggregates:
500-600 kg
Other
aggregates:
500-600 kg
H2
Tank: 1500 kg H2
Fuel Cell:
500-600 kg
H2
Fuel Cell:
500-600 kg
H2
Tank: 1500 kg
+ H2
fuel: ~70 kg
Battery: ~7000 kg Battery: 700 kg
With Full
Tank/Battery
FCET
Battery: ~7000 kg
Weight of different powertrain components
Powertrain
weight (kg)
Range (km)
Heavier batteries in BETs are associated with
certain drawbacks, as this weight must be car-
ried in addition to the cargo by the vehicle. And
unlike diesel trucks or FCETs where the fuel is
consumed while driving, the state of charge of
the battery does not affect its battery weight in
any significant way. As the range requirements
increase, it becomes inefficient to also trans-
port much larger and heavier batteries on the
vehicle. This can lead to potential compromises
on the payload and space available for the car-
go. This may not severely handicap the trans-
portation of lighter or voluminous cargo but is
especially relevant for full truck load transpor-
tation of heavy freight. In the HDT sector where
every kilogram of weight counts towards the
revenues and operating margins of transport
operators, additional powertrain weight is still
seen very critically.
It is also important to recognize that some ap-
plications have additional power requirements.
As an example, a 44-ton truck with refrigerat-
ed trailer will require 20 kWh of energy just for
cooling the cargo each hour. For a BET with
400-500 km daily range with limited time for
recharging, this poses a lot of additional de-
mand. In a BET with about 500 kWh usable
battery capacity, approximately 200 kWh en-
ergy would be used just for the cooling. This
would penalize the range that could be driven
between each charge. Similarly, topography
| BEV or FCEV? 19
and driving conditions also have an impact on
the energy requirements. For example, if a fully
loaded truck must drive uphill in cold tempera-
tures against a headwind, the battery electric
range could drop to about 50%. In a fuel cell
truck, the corresponding drop in range would
be much less significant. While adding bigger
batteries would increase the energy available
on board, this would again lead to additional
battery weight, costs, and charging time re-
quirements. In some cases, like in Europe, addi-
tional allowances for vehicle length and tractor
weight are being considered for zero-emission
HDTs which can potentially help mitigate such a
handicap. While this may mitigate some of the
potential impact on cargo space or weight, the
extra weight of the batteries must still be trans-
ported by the truck.
On the other hand, these issues are much less
severe in case of FCETs. Additional energy or
range requirements can be met by storing more
hydrogen on board. While costs can accrue for
additional hydrogen tanks, this are much less-
er than the cost of additional battery capacity
on board. This advantage become even more
prominent when we evaluate the time needed
for loading energy into the vehicle.
20
BET
Estimated Charging time
for ~500 kWh usable energy
FCET
Today* ​
(with CCS)​
Today ​
(60g/s of
H2 dispensing)​
Future* ​
(with MCS)​
Future ​
(120g/s of
H2 dispensing)​
Comparison of BET charging and FCET refueling times
90-120
MIN
45-60
MIN
~20
MIN
~10
MIN
Figure 7
*
Depending on starting and finishing
state of charge (SoC)
Given the high uptime requirements of fleet op-
erators, it is important for zero-emission HDTs
to be reloaded with energy as quickly as pos-
sible. In case of BETs, this is the time needed
for recharging the battery, while for FCETs, it is
the time needed for refilling the hydrogen tank.
Currently, depending on its capacity, a hydro-
gen tank can be filled with gaseous hydrogen
at 700 bar pressure in about 20-30 minutes to
enable the FCET to have a real driving range of
600 to 700 km. With technical improvements,
the refilling time could potentially drop to 10-15
minutes in the future, which is comparable to
the refueling time in conventional diesel fueled
HDTs. This offers FCETs a significant edge.
In the case of BETs, various charging ap-
proaches must be considered depending on
the power output of the chargers. In use cases
where the trucks return to the base like urban
or regional distribution, it would be necessary
to have overnight chargers at the fleet hubs.
For longer distance applications like line-haul
or long-haul use cases, chargers are need-
ed along the public roads. This would include
overnight chargers at highway rest stops. Typi-
cally, these chargers have a comparatively low-
er power rating and can recharge the battery
with a range of about 400 km over 8 hours, i.e.,
at about 50 km range per hour of charging.
As discussed earlier, cost and weight consid-
erations imply that BETs cannot carry large
enough batteries to allow them to operate
longer distances through the day on a sin-
gle charge. With current European regula-
tions mandate that truck drivers must have a
45-minute break once in every 4 hours of
driving,theHDTmustcarryatleastsufficienten-
ergytodriveforthisperiodandcanberecharged
during the break time. Higher power chargers
are also necessary at highway rest stops to
Charging/Refueling
Considerations
| BEV or FCEV? 21
cater to this need. Currently, these chargers
can deliver 300-350 kW of power using the
Combined Charging System (CCS) standard. In
parallel, truck and bus manufacturers are work-
ing together to develop the Megawatt Charging
System (MCS) which can allow a charging pow-
er of over 800 kW10
. This is expected to be-
come the industry standard after 2025. The
EU EV Charging Masterplan outlines how many
public and private chargers are necessary in
Europe to reach a 30% reduction in CO2
emis-
sions in HDTs by using BETs. This shows that to
support BET adoption, a significant ramp-up of
charging infrastructure is necessary.
Despite these superfast charging standards,
FCETs retain their comparative advantage in
refueling time. A recent study in the US found
that due to the longer recharging time and low-
er range per charge, a BET driving cross-coun-
try would have to make more frequent stops
and longer stay at each stop. As a result, an
FCET undertaking the same journey could take
up to 35% lesser time to complete it. Even from
a longer-term perspective, if and when fully au-
tonomous trucks gain adoption, there would be
no need for driver service breaks or mandatory
rest times, leading to a higher daily mileage. In
such cases too, FCETs will gain attractiveness
with fewer stops needed and faster refueling
times.
Theoretically, combining faster charging
speeds with the mandatory break time could
provide a solution for recharging BETs. Howev-
er, this could be difficult to achieve in the real
world. A truck arriving at a highway rest station
must be able to find a parking bay with a func-
tioning charger available exactly at the time it
arrives for this approach to function seamless-
ly. In addition to charger density and availabil-
ity, the quality and reliability of the chargers
also needs to be ensured by learning from the
teething issues being experienced currently
in the rollout of the charging network for pas-
senger cars. Further, customer acceptance
of such operating approaches is still untested
and not proven in the HDT sector. For example,
10.	
The impact of such superfast charging on batteries is currently not sufficiently investigated. Experience in passenger vehicles and consumer devices shows
that frequent fast charging leads to quick degradation of the battery’s SoH. This can severely impact the lifetime of the battery, as well as the residual value of
the battery and the vehicle at the end of its useful life. This also introduces significant complexity and uncertainty in the capability of OEMs and their partners
to tailor financial packages for customers looking to rent, lease, or subscribe to zero-emission vehicles, since there are no models to help evaluate and calcu-
late these effects currently.
22
driver unions in Europe have expressed con-
cerns and are seeking clarification on the need
for the drivers to keep a track on the charging
progress of their BETs, since strictly speaking,
this should be treated as working hours and
not as rest time for them.
In addition to that, there are two factors which
need to be considered. The first is the number
of charging locations needed. Taking North
America as an example, estimations from the
US Clean Air Task Force indicate that due to the
longer charging times of BETs, if all HDTs were
switched purely to BETs, more than eight times
as many locations would be needed for fast
charging than the number of hydrogen refuel-
ing stations (HRS) for a fully FCET network. Fur-
ther, not all highway rest stops have the space
on offer for multiple BETs to be parked and
charged simultaneously. Similarly in Europe,
though some experts have estimated that hav-
ing 3-4 MCS 800 kW chargers per highway rest
station11
might be sufficient to deploy BETs, grid
connections and space for the vehicles are not
available at many of them. Multiple parking bays
are also needed for vehicles which are waiting
for the next available charging opportunity.
The second factor which needs to be consid-
ered is the impact of BET chargers on the elec-
tricity grids. It is a fact that currently grids are
not equipped to cope with the sheer amount
of electricity required to fast-charge multiple
battery trucks at the same time. For example,
if twenty BETs were to a simultaneously use
1 MW MCS chargers at a highway truck stop,
the demand would be greater than the pow-
er requirement of a town with about 25,000
inhabitants. From the point of view of the net-
work operators, MCS is not possible in all lo-
cations since significant grid upgrades would
be necessary to deploy BETs at scale. In oth-
er words, regional grid transmission including
cabling and capacities in the substations need
to be upgraded to meet these demands, even
in relatively remote locations along highways. If
these upgrades are not taken up, there would
be a risk of blackouts from the collapse of
the grid. There are already instances of pow-
er generation companies and grid operators,
especially in the US, struggling to cope with
the demand stemming from the adoption of
small fleets of commercial electric vehicles at
depots12
. In a country like Germany moreover,
current estimates suggest that the upgrade
11. In addition to lower power overnight chargers.
12.	
Given rapid additions in renewable energy generation, the additional power requirement from electric vehicles is expected to be manageable. Bloom-
bergNEF expects this to not add more than 15% over the estimated global electricity consumption in 2040. The challenge, however, is that high speed
chargers will draw a lot of electricity very quickly at a single place and time, which will impact the grid.
| BEV or FCEV? 23
Thousands of charging stations required to reach -30% CO2 emissions for
trucks in EU-27 Source: EU EV Charging Masterplan
Charging infrastructure requirements for BETs in Europe to reach -30% CO2 emissions
Public overnight
Fleet hub/depot
Public fast charging (highway)
2021
1 34
12
1
2025
47
2030
280
235
36
9 6k MCS ~800 kW chargers
30k CCS ~300 kW chargers
Source: Europe Electric Vehicle Charging Infrastructure Masterplan
Figure 8
and approval process for establishing a high
voltage connection to the grid could take as
long as ten years due to administrative and bu-
reaucratic hurdles. A recent study estimated
that also in the US, a grid connection that can
handle over 5 MW can take up to eight years to
build and costs tens of millions of dollars.
Substantial infrastructure investments are a
requirement for both BET and FCET solutions.
However, the cost of setting up the charging
infrastructure at one location is comparatively
lower in case of BETs than in case of FCETs. A
recent study by Strategy estimated that for a
medium-sized logistics company with a fleet of
ten trucks, about €450,000 investment would
be needed for a depot charging system with
three 250kW chargers. They also estimated
that for a highway charging park with six fast
chargers of 1.5 MW rating and 28 overnight
chargers of 150kW rating would require a €8.5
million investment.
In comparison, the same study estimated that
a HRS with five dispensers and 5 kg H2/minute
dispensing capacity would require an invest-
ment of about €10 million. Despite the higher
cost, however, the much faster refueling time of
FCETs means that such an HRS would be capa-
ble of refueling about 200 FCETs a day, which
is indicative of a much higher utilization – even
when compared with a MCS charger. This also
means that the investment in the HRS can be
amortized over a larger number of vehicles, re-
sulting in a lower unit economics. Further, the
number of HRS required would also be lower
than the number of charging stations needed.
For example, the European Fit for 55 Alterna-
tive Fuels Infrastructure Regulation mandates
one HRS every 150 km along the TEN-T core
24
highway network by 2030. Further, by setting
up of depot HRS, some estimates suggest that
it could even suffice to have one HRS at about
every 300 km of the TEN-T network in Europe
to support the FCETs in operation.
The advantage of hydrogen-powered commer-
cial vehicles is already being seen in case of
fuel cell electric buses. Looking at infrastruc-
ture costs, the higher vehicle purchase cost
can be offset by the lower cost of the HRS in-
frastructure at scale. In other words, the infra-
structure cost for fuel cell buses is seen to de-
crease as their volume of adoption increases,
since the HRS can be shared by over 100 buses
at the same depot. On the other hand, as the
number of deployed battery electric buses per
depot increases, the cost of the infrastructure
per vehicle also increases due to the need for
more power.
Given the costs associated with setting up the
charging or refueling infrastructure at each lo-
cation, some experts have argued that build-
ing up both infrastructures could potentially
amount to a waste of public resources. Howev-
er, a recent analysis by McKinsey  Company
found that it would in fact be cheaper to build
out an optimal mix of both BET and FCET infra-
structure based on use cases and considering
system level costs and efficiency, rather than
exclusively one of them. This perspective has
also been supported by the European Union
Clean Hydrogen Joint Undertaking.
Here, it is important to recognize the impact
that the scale of BET or FCET adoption plays.
At smaller scales, it is cheaper and easier to op-
erationalize a few BETs with a depot charging
station costing about €120,000. A single on-
site HRS in comparison could cost €2-3 mil-
lion depending on size, i.e., kilograms of hy-
drogen delivered and number of dispensers.
However, the unit economics can be spread
out if there is a minimum base coverage with
a substantial number of FCETs using that HRS.
At larger scales therefore, HRS infrastruc-
Schematic variation in infrastructure costs with increasing BET and FCET adoption
Figure 9​
BET
FCET
Number of Trucks
Infrastructure
Unit
Costs
High
Low
Low (10s) High (100s)
| BEV or FCEV? 25
ture is less costly to setup than BET charging
infrastructure, along with the advantage of
lower demands on grid upgrades. According
to McKinsey  Company estimates, the cost of
charging infrastructure for BETs would amount
to 0.11 USD/kWh, while in case of refueling
infrastructure for FCETs would only amount
to 0.03 USD/kWh. Nevertheless, both infra-
structures need to be robustly designed to be
high-capacity HDT stations with in-built redun-
dancy of key elements to ensure that they are
reliable and dependable.
26
Energy Considerations
The energy used to power the zero-emission
vehicles is another dimension which needs
to be examined in the context of decarboniz-
ing road freight transport. One of the signif-
icant triggers for this decarbonization is the
increasing scrutiny on the Scope 3 emissions
of vehicles when they are in use, i.e., the de-
ployment of zero-emission vehicles must help
abate the CO2
emissions from their use phase.
In this context, both BET and FCET are ze-
ro-emission solutions since they have no tail-
pipe emissions and have, therefore, no down-
stream Scope 3 emissions. However, it is also
equally important to mitigate the upstream
Scope 3 emissions. This places the emphasis
on how clean the energy used for manufactur-
ing the vehicle components as well as for oper-
ating the vehicles is.
For example, battery manufacturing is an en-
ergy intensive process, with about 50 kWh of
energy currently needed to produce 1 kWh of
batteries. By factoring in the current carbon in-
tensity of the energy mix in Europe, it can be
estimated that a battery produced in France
today has roughly a tenth of the carbon inten-
sity of a battery produced in Poland. If potential
carbon taxes are factored in at an average val-
ue of 30 USD/tonCO2
, then this would be equiv-
alent to a price difference of roughly 1 €/kWh of
battery capacity between a battery produced
in these locations. In fact, battery manufactur-
ers in Norway and Sweden take pride in being
able to manufacture the cleanest batteries
compared to other European battery gigafac-
tory locations, given the abundance of clean
energy available there.
The same argument also applies for the ener-
gy used to charge electric vehicles. If the ve-
hicles are recharged with electricity produced
from coal or gas, then it effectively means that
though the tailpipe emissions are nullified, they
are simply shifted further upstream in the val-
ue chain. For achieving climate goals, it is es-
sential to decarbonize the entire value chain,
including manufacturing of zero-emission ve-
hicles/components (upstream) and the vehicle
use (downstream). This highlights the impor-
tance of decarbonizing energy supply, given
that there is a rapid increase in the adoption of
battery electric vehicles (especially in the pas-
senger car and other small vehicle segments
| BEV or FCEV? 27
Electricity carbon intensity in Europe and US in the Last 12 Months
0 200 400 600 800
CO2
Intensity (gCO2
eq/kWh)
Source : electricityMap
Figure 10
globally) and thus a proportional hike in the en-
ergy demands stemming from the operation of
these vehicles. Currently, the electricity sup-
ply both in continental Europe and in the US is
quite carbon intensive.
Similarly, the process of electrolysis to gener-
ate green hydrogen is also energy intensive.
To generate 1 kWh of green hydrogen, about
1.2-1.4 kWh of electricity is needed. The carbon
footprint of the hydrogen can only be minimal if
it is produced with clean electricity produced
from renewable sources. At a system level, this
also means that if the power used for electrol-
ysis is drawn from the grid, it should not be re-
placed by fossil-fuel based electricity to cater
to other demand sectors. A recent study by
Oliver Wyman estimated that if this were to be
the case and electricity generated from natu-
ral gas was used as the source, then producing
1 MWh of green hydrogen could have twice the
CO2 emission at system level than producing
the same amount of gray hydrogen by steam
methane reforming.
Consequently, questions are often raised
about the economic efficiency of locally pro-
duced green hydrogen in regions like western
Europe, since it is a lower-value product pro-
duced by using electricity, a higher-value prod-
uct. Hydrogen prices are a function of where it
is produced and with what energy prices. Jux-
taposed with the rapidly growing demand for
clean electricity, the economics for local green
hydrogen production become unfavorable in
such regions. Here, it is already difficult to meet
the (peak) demands purely with clean energy,
given that the availability of electricity gener-
ated from renewable sources like wind or sun
is geographically and temporally constrained.
For example, northern Europe or northern USA
are roughly 2.5 times less efficient in capturing
and utilizing solar energy than sun-rich areas
to their geographic south. Taking Germany as a
case example, the onshore wind and solar en-
ergy load factors are estimated to be 25% and
12% respectively. Given the capital expenditure
that electrolysers entail, they need to be oper-
ated at high utilization rates to be cost-efficient.
28
Tankers, pipelines:
easier to transport as molecule, only non-carbon
molecule option for green energy transport
Green Hydrogen
Transportation of green electricity and green hydrogen​
Energy carrier: Hydrogen molecules
Electricity grid
harder to transport over long distances
Energy carrier: Electrons
Green Electricity
Figure 11
Consequently, hydrogen prices are much cur-
rently rather expensive, driven by both capital
and operating expenses. The resulting higher
energy costs for FCETs in comparison to BETs
can effectively erode any advantage gained
from the FCET refueling infrastructure costing
lesser than the corresponding BET charging
infrastructure.
However, a major differentiator between green
electricity and green hydrogen is the effort
needed to bring them from their point of gen-
eration to their point of consumption (i.e.,
charging station or HRS respectively). It is diffi-
cult to transmit electricity over long distances
since it can incur significant transmission loss-
es13
. Therefore, the electricity used for charging
BETs needs to be produced relatively close to
the point of consumption. Further, this energy
is priced at spot rates. In comparison, it is much
easier to transport hydrogen molecules over
long distances than electricity transmission
(i.e., transporting electrons). Large volumes of
hydrogen can easily be transported over much
longer distances as gaseous or liquified hydro-
gen or derivatives like ammonia, through new
pipelines, repurposing existing pipelines, or on
maritime ships/tankers14
.
This means that hydrogen can be produced
at sun or wind-rich locations where the load
factors or utilization rates are much more fa-
vorable economically15
and transported to
the point of consumption. As an example,
the same solar installation in the Middle East
would have more than twice the annual output
of energy than if it were installed in Germany.
Consequently, even after accounting for high-
er losses from a sun-to-wheel perspective for
FCETs, the system-level energy output would
be comparable to using locally produced solar
energy to charge a BET. Further, producing hy-
drogen at renewable energy rich locations also
has a much lower carbon footprint than in using
carbon intensive local electricity supplies. De-
pending on location, this can be comparable or
13.	
Transmission losses estimated to be between 6 to 10 percent per 1,000 km in high-voltage alternating-current grids and about 4 percent per 1,000 km in
high-voltage direct-current grids (which are subject only to ohmic losses).
14.	
For low volumes and across short distances, it could be cheaper to produce hydrogen locally, potentially with imported renewable electricity. However,
for distances of over 500 kilometers, pipelines are better suited to import hydrogen economically and with larger volumes. Repurposing existing natural
gas pipelines can decrease the infrastructure investment costs to as low as one-third of building new dedicated pipelines. This mode is well suited for
moving hydrogen within Europe or for importing from neighboring regions with pre-existing infrastructure. For import routes across much long distances
(3,500 km or more), maritime shipping is emerging as the preferred option when hydrogen pipelines may not be possible.
15.	
Current forecasts suggest that green electricity prices in the Middle East and North Africa region could drop to as low as 0.045 €/kWh by 2030 and
further to 0.015 €/kWh by 2050.
| BEV or FCEV? 29
Sun-to-wheel efficiency: Germany vs Middle East
Germany Middle East
950 kWh
680 kWh
660 kWh
2200 kWh
Source: Hydrogen Council, McKinsey  Co.
Figure 12
13% Transmission
+ charging losses
18%
TTW losses
20%
Electrolysis
24%
Shipment/
distribution
50%
TTW losses
even lower than the carbon footprint of battery
electric vehicles, according to a recent study
published by the Hydrogen Council. Similarly,
there is a lot of potential to tap into hydropow-
er is the Nordic region or geothermal energy in
countries like Iceland and using it to produce
green hydrogen for consumption in Europe.
Though green hydrogen supply is a quite con-
strained today, there are both demand and
supply side effects which support its scaling.
Unlike earlier generations of fuel cell vehicles
which had a lot of hype but could not reach any
significant market penetration, the develop-
ment of hydrogen solutions is not happening
in isolation but rather as part of an overall en-
ergy transition and shift to renewable energy
sources now. Hydrogen is necessary to decar-
bonize many hard-to-abate industry sectors
like steel, chemicals, and fertilizers. In fact, it is
estimated that in 2030, the hydrogen demand
in non-transport sectors would account for
over 80% of the total global hydrogen demand.
This causes scale effects from a demand side,
which in turn helps lower midstream infrastruc-
ture investment costs.
An increasing number of investors, govern-
ments, and energy players have been an-
nouncing plans for ramping up green hydrogen
production. The US Inflation Reduction Act
2022 makes significant provisions for sup-
porting the building up of local hydrogen val-
ue chains, for example. The US DOE National
Clean Hydrogen Strategy and Roadmap draft
sets a target of 10 million metric tons (MT) of
domestically produced clean hydrogen by tap-
ping various energy sources. Similarly in Eu-
rope, multiple projects have been identified
and supported with public funding from the
European Commission as Important Projects
of Common European Interest (IPCEI), covering
30
Source: European Hydrogen Backbone initiative
Figure 13.
Oslo
Stockholm
Helsinki
Talinn
Riga
Vilnius
Gdansk
Warsaw
Krakow
Bratislava
Budapest
Ljubljana
Vienna
Prague
Leipzig
Berlin
Munich
Frankfurt
Cologne
Rotterdam
London
Paris
Lyon
Milan
Venice
Marseille
Rome
Palermo
Barcelona
Valencia
Almeria
Tarifa
Madrid
Lisbon
Porto
Bilbao
Bordeaux
Manchester
Dublin
Cork
Edinburgh
Göteborg
Copenhagen
Hamburg
Bucharest
Sofia
Athens
C
D
E
A
B
The five hydrogen supply corridors could be:
• Corridor A: North Africa  Southern Europe
• Corridor B: Southwest Europe  North Africa
• Corridor C: North Sea
• Corridor D: Nordic and Baltic regions
• Corridor E: East and South-East Europe
Potential hydrogen supply
corridors for Europe​
hydrogen technology and infrastructure devel-
opment along its entire value chain. Additional
emphasis on Europe’s hydrogen strategy has
also come from the recent geopolitical devel-
opments and the need to have greater energy
security. The REPowerEU plan was announced
three weeks after the war in Ukraine started to
increase the ambition for renewable hydrogen
from 5.6 million MT to 20 million MT in 2030.
This includes 10 million MT of domestically pro-
duced hydrogen supply, complemented with
another 10 million MT imported from outside
the EU.
Given the scale of the hydrogen demand, there
is a recognition that Europe will have to import
clean energy from other regions or partners.
From this perspective as well, hydrogen is the
best solution if the imports must be limited to
non-carbon molecules. The European Hydro-
gen Backbone initiative has identified 5 poten-
tial pipeline supply corridors to deliver access
to sufficient and low-cost hydrogen supplies.
The vision is to initially connect local supply and
demand within Europe, and then expanding
and connecting the continent with neighboring
regions exhibiting an export potential. Addi-
tional supply could be secured through mari-
time shipping, with the German Canadian Hy-
drogen Partnership being one such example16
.
In addition to the imported hydrogen, there are
also additional opportunities in the mid-term
to produce hydrogen locally, taking both cen-
tralized and decentralized approaches. Cen-
tralized production could be deployed at larger
scales by leveraging not only offshore wind, but
also using geothermal or hydropower sources.
On a regional level, generating hydrogen from
waste is also seen as a promising opportunity
with the potential to use agricultural and for-
estry waste, municipal solid waste, and landfill
gas. Further, there is also potential to tap into
excess onshore wind energy at a local level.
For example, it has been estimated that over 6
million kWh of green electricity went untapped
in 2020 in Germany, simply because windmills
were stopped at times when there was an ex-
cess supply in the grid. In such cases, the cur-
16.	
The US is currently expected to have access to sufficient regionally produced clean hydrogen to meet its demand.
17.	
It should be noted that also in energy storage and grid balancing applications, lithium-ion batteries offer a far more energy efficient solution to store excess re-
newable energy than green hydrogen production, especially in cases where the oversupply is only for short periods. They have only about a 15% efficiency loss
and a lower capital cost per megawatt than electrolysers. However, the supply chain constraints discussed earlier also apply to batteries in this application.
Further, a temporal dimension must also be considered. While lithium-ion batteries are better suited for short-term storage and there is a future potential for
sodium-ion batteries, longer term energy storage is a field where nascent alternatives like flow batteries could potentially compete with hydrogen in the future.
| BEV or FCEV? 31
tailment of renewable energy production due
to demand or grid throughput shortage is ef-
fectively energy that is lost. This excess ener-
gy could have been harvested and converted
into hydrogen with smaller-sized electrolysers,
thereby increasing the systemic output. Fur-
ther, some experts have even suggested that
such local hydrogen generation can aid under
peak load conditions and reduce the scale of
grid upgrades necessary.
These advancements are also expected to
provide sufficient momentum to address the
issue of high green hydrogen costs by leverag-
ing the falling costs of renewable energy and
improvements in electrolyser technology. In
fact, the cost of green hydrogen has fallen by
60% from between USD $10-$15/kg in 2010 to
as low as USD $4-$6/kg today in some loca-
tions. According to industry reports, forecasts
suggest that they will continue to fall, with off-
shore wind-based electrolysis having another
60% cost reduction potential between now
and 2030. Similarly, large scale manufacturing
of electrolysers are being set up, supported
by initiatives like IPCEI in Europe, adding up
to 45 GW of annual manufacturing capacity by
2025. Experts at McKinsey  Company esti-
mate that such a shift to large scale production
facilities and distribution networks would help
decrease hydrogen prices by close to 70% by
2040 compared to today’s levels. Taken togeth-
er, these factors are expected to help address
the current challenges with hydrogen applica-
tion in the transport sector, and specifically in
the case of FCETs.
32
With regulators, investors, end customers, and
the society at large seeking a rapid transition
to zero-emission transport solutions today, we
are at the beginning of the transition towards
decarbonized transport. BETs and FCETs are
the leading options to master this transforma-
tion, but they are still at early phases of techno-
logical and industrialization readiness. Taking a
system-level view, it is evident that each tech-
nology alternative has its respective strengths
but also associated challenges.
BETs have benefitted from the advancements
in battery electric vehicles in general and are
closer than FCETs to customer adoption to-
day. Their advantages like their energy efficien-
cy and ease of deployment in smaller fleets
makes them very attractive for certain use cas-
es, especially when limited range or lower aux-
iliary energy requirements are sufficient. The
industry is seeing an increasing number of BET
models being launched with incremental inno-
vations in product specifications, performance
attributes, and overall reliability and durability.
Concurrently, early adopters of BETs have also
become sensitized to their limitations. This has
provided a fillip to the development of FCETs,
which may not have the same energy efficien-
cy but have potentially significant advantages
over BETs in terms of charging times and ex-
perience, range, operational efficiency, and
uptime. There is an increasing recognition that
FCETs have a crucial role to play in use cases
where BETs are severely challenged, such as
line-haul and long-haul sectors. In such cases,
FCETs also have the advantage of not penal-
izing the cargo space and weight limitations.
Similarly, in use cases where time is a con-
straint, either at highway rest stations or while
cargo handling at hubs/depots, it would be in-
sufficient for recharging BETs but FCETs would
be better suited.
Convenience and flexibility are key customer
needs in the HDT space which give FCETs an
edge. Though a 100% BET fleet could be ca-
pable of handling many urban or regional dis-
tribution loads by operating along a spoke to
and from a hub, an FCET could handle regional
delivery routes but also longer routes with little
time needed for refueling. A more flexible fleet
is one that may earn more for the business,
.
Complementary Roles
of BETs and FCETs
| BEV or FCEV? 33
BET and FCET favorability by use case​
Figure 14
Trip distance (km)
Volume-constrained
transportation
50% / 50% volume/
weight-constrained
Weight-constrained
transportation
Time available for interim
charging/refueling​
BET FCET
High
Low
–
–
–
–
–
–
–
–
–
–
–
200 300 400 500 600 700 800 900 1000
Based on the
Based on the
specific use case,
specific use case,
BET or FCET
BET or FCET
could be
could be
better suited​
better suited​
and this is also likely to influence the purchas-
ing decisions, especially of big fleet customers
who would be able to better amortize the infra-
structure costs associated with hydrogen fuel.
Beyond this, the system-level effects like
the impact on electricity grids, temporal and
geographic limitations of renewable energy,
and relative ease of transporting energy to
the point of consumption are also important
factors influencing the adoption of BETs and
FCETs. Depending on the availability and na-
ture of renewable energy, electricity versus
hydrogen fuel costs could skew heavily to fa-
vor one or the other powertrain type. Quicker
road freight decarbonization can be achieved
by combining it with a low-carbon clean ener-
gy system which is independent of the elec-
tricity mix. Especially in regions with limited or
constrained grid capabilities and limited local
green energy production, FCETs can become
the preferred technology option that fosters
greater resilience, cost-efficiency, and optimi-
zation at a system level.
A pragmatic first evaluation of these multi-
ple dimensions can be achieved by using es-
tablished tools like balance scorecards. One
such version, developed through interactions
with a selection of our customers and indus-
try experts, is shared here. Drawing on the
system-level effects evaluated in this whitepa-
per, a set of criteria were selected, provided
weightings, and evaluated on a scale of 1 to 5
in three different use cases, namely urban dis-
tribution, regional distribution, and long-haul
heavy load transport. Summing the weighted
ratings, it is again evident that while BETs are
clearly favorable in some cases, there are oth-
ers where FCETs have an edge. In other words,
this emphasizes that BETs and FCETs are com-
plementary solutions towards the decarbon-
34
Examples of use cases and favored powertrain option
Figure 15
Use Case E-commerce platform Food logistics Heavy goods transport
Description
Multiple small-sized
packages distributed
from a suburban
warehouse (depot) to end
customers across a city
Regional distribution of meat,
fish, vegetable, and dairy
products with refrigerated/
chiller body
Long-haul transport
of goods with
heavy duty tonnage
Cargo description
Small payload
but higher volumes
Mixed focus on
volume and weight
Focus on weight
(GVW 40-65 tons)
Daily mileage 150 - 200 kilometer range 150 - 250 kilometer range 700+ kilometer range
Additional
power requirements
Tail-lift
For maintaining cargo
at required temperature
Depending on
superstructure, trailer,
and type of goods
transported
Favored
powertrain solutions
✔ BET ✔ BET or FCET ✔ FCET
ization of heavy-duty transport. Ultimately, the
penetration rates of BETs and FCETs will be de-
termined by the most relevant factors for fleet
customers or drivers, which will also influence
the total cost of ownership.
Taking all these factors into consideration, the
complementary roles of BETs and FCETs in
decarbonizing HDT transport sector, depend-
ing on use cases and contextual conditions,
becomes very clear. Hedging bets with two
technology pathways helps de-risk the most
significant transition in the automotive indus-
try’s history. The two technologies and their
supporting ecosystems need to be jointly ac-
celerated and scaled. This not only includes
building the charging infrastructure in key re-
gions and along key routes, including high pow-
er charging stations that can support BETs that
allow for fast charging to reduce dwell times,
but also achieving cost reductions in hydro-
gen technologies such as electrolysers and
HRS through scale effects and leveraging ex-
perience curves. Finally, to achieve a compet-
itive total cost of ownership, the right policy
measures, incentives, and business model
approaches are necessary for both BETs and
FCETs. Given the respective challenges in
powertrain, charging/refueling, and energy
dimensions discussed earlier, it will be essen-
tial to build and orchestrate an ecosystem of
strong partners, including energy players, ve-
hicle manufacturers, equipment providers, lo-
gistics providers, and financial backers.
We are only just starting on a long and wind-
ing path towards large scale adoption of
zero-emission HDTs globally. Despite the
challenges and the scale of transformation re-
quired across multiple industries in achieving
| BEV or FCEV? 35
this goal, it can be reached through concerted
efforts by all stakeholders involved. This starts
with a nuanced understanding of the solutions
available and how and where each of them is a
suitable fit. Equipped with that knowledge, the
right strategies and business models can be
developed and deployed towards decarbon-
izing road freight transports. We remain con-
vinced that this is not an either-or choice be-
tween BETs and FCETs, but rather, a matter of
creating synergies and an optimal mix between
the two technology solutions.
36
Use Case:
Dimension Sub-Dimension Weight
R
Equivalent energy efficiency
Well-to-tank 2%
Tank-to-wheel 10%
Vehicle
powertrain  technology
Vehicle acquisition  operating costs 15%
Technology  industrialization readiness 4%
Supply security 2%
Powertrain weight (vs. energy need) 8%
Kilometers of range per charge/ refueling 10%
Charging/refueling
experience
Time for recharging/refueling 10%
Ease of charging/ refueling for driver 5%
Infrastructure
costs  availability
#Charger / #HRS dispensers 5%
Infrastructure costs 10%
Infrastructure robustness(e.g., grid stability) 4%
Energy
considerations
Geographical/ temporal availability of clean energy 3%
Carbon intensity 2%
Energy price 10%
Total (Scale: 1 = bad, 5 = good) 100% 		
Have you heard
about the new normal?
Zero Emission. Full Power. Better Future.
| BEV or FCEV? 37
Last Mile distribution
GVW 18t, 150 km mileage
Regional distribution
GVW 27t, 200 km mileage
Long-haul distribution
GVW 44t, 700 km mileage
BET FCET
Rating Score Rating Score
BET FCET
Rating Score Rating Score
BET FCET
Rating Score Rating Score
4,50 0,09 2,50 0,05 4,50 0,09 2,50 0,05 4,50 0,09 2,50 0,05
3,50 0,35 2,00 0,20 3,50 0,35 2,00 0,20 3,50 0,35 2,00 0,20
4,00 0,60 1,50 0,23 3,50 0,53 2,00 0,30 3,50 0,53 3,00 0,45
4,50 0,18 2,00 0,08 4,00 0,16 2,00 0,08 4,00 0,16 2,00 0,08
1,50 0,03 2,50 0,05 1,50 0,03 2,50 0,05 1,50 0,03 2,50 0,05
4,50 0,36 1,50 0,12 4,00 0,32 2,00 0,16 1,50 0,12 4,50 0,36
2,50 0,25 3,00 0,30 1,50 0,15 3,00 0,30 1,50 0,15 3,00 0,30
3,00 0,30 4,50 0,45 1,50 0,15 4,50 0,45 1,50 0,15 4,50 0,45
3,50 0,18 3,50 0,18 2,50 0,13 3,50 0,18 1,50 0,08 3,50 0,18
2,00 0,10 3,00 0,15 1,50 0,08 3,00 0,15 1,50 0,08 3,00 0,15
3,00 0,30 2,00 0,20 2,50 0,25 2,00 0,20 2,50 0,25 2,00 0,20
1,50 0,06 3,00 0,12 1,50 0,06 3,00 0,12 1,50 0,06 3,00 0,12
1,50 0,05 3,50 0,11 1,50 0,05 3,50 0,11 1,50 0,05 3,50 0,11
3,00 0,06 3,50 0,07 3,00 0,06 3,50 0,07 3,00 0,06 3,50 0,07
3,50 0,35 3,00 0,30 3,50 0,35 3,00 0,30 3,50 0,35 3,00 0,30
		 3,25		2,60 		 2,74		2,71 		 2,49		3,06
QLI BEV
3,25
QHM BEV
2,74
QHM FCEV
3,06
3,25 2,74 3,06
38
1.	ACEA: “European EV Charging
Infrastructure Masterplan”
2.	Ballard Power: “Fuel Cell Price to Drop
70-80% as Production Volume Scales”
3.	BloombergNEF:
“Race to Net Zero: The Pressures of the
Battery Boom in Five Charts”
4.	BloombergNEF:
“Electric Vehicle Outlook 2022”
5.	
Clean Air Task Force:
“Why the Future of Long-Haul Heavy
Trucking Probably Includes a lot of Hydro-
gen“
6.	
Clean Hydrogen Partnership: “The Road
to Net Zero - Study on the strategic de-
ployment of battery-electric vehicles and
fuel cell-electric vehicles infrastructure”
7. Electricity Maps
8.	
European Commission, Joint Research
Centre: “Critical Raw Materials for Stra-
tegic Technologies and Sectors in the EU
- A Foresight Study”
9.	
European Hydrogen Backbone initiative
10.	Eurostat:
“Road freight by vehicle characteristics”
11.	Hydrogen Council:
“Roadmap towards zero emissions - The
complementary role of BEVs and FCEVs”
12.	Hydrogen Council: “Hydrogen Insights
2022 – An updated perspective on hy-
drogen market development and actions
required to unlock hydrogen at scale”
13. IEA: Trucks and Buses
14.	
Journal of Energy Storage:
“Cost-effective technology choice in a de-
carbonized and diversified long-haul truck
transportation sector: A U.S. case study”
15.	
McKinsey  Company: “Preparing the
world for zero-emission trucks”
16.	
McKinsey  Company:
“Unlocking hydrogen’s power
for long-haul freight transportation”
17.	National Grid:
“Electric Highways Study”
18.	
Nationale Leitstelle Ladeinfrastruktur:
„Einfach laden an Rastanlagen“
19.	Oliver Wyman: “Green vs. Blue Hydrogen
– A Perspective on scaling low-carbon
hydrogen production”
20.	PwC Strategy: “The dawn of electrified
trucking - Routes to decarbonizing com-
mercial vehicles”
21.	Shell: “Decarbonizing Road Freight:
Getting into Gear”
22.	The ICCT:
“Fuel Cell Electric Tractor-Trailers:
Technology Overview and Fuel Economy”
23.	
US Department of Energy: “National
Clean Hydrogen Strategy and Roadmap”
24.	
Wasserstoff-Kompass:
“Wasserstoff im Mobilitätssektor“
References
| BEV or FCEV? 39
DISCLAIMER:
This publication has been prepared as a general guidance and purely for informational
purposes. The information contained in this presentation is based on sources considered
to be generally reliable, but QUANTRON AG cannot guarantee their accuracy and veracity.
The opinions presented herein represent those of QUANTRON AG at the present time and
are, therefore, subject to amendment and alteration, based on macroeconomic, geopoliti-
cal, industrial, and other contextual developments. The publication cannot be reproduced,
distributed, or published without prior written consent from QUANTRON AG.
First Print: January 2023
Reprint: March 2023
Copyright © QUANTRON AG. Some rights reserved.
www.quantron.net
EDITORIAL TEAM
Lead Author  Editor: 		 Dr. Srinath Rengarajan
Experts  Contributors: 		
Andreas Haller, Michael Perschke, René Wollmann,
Reiner Dellori, Florian Fix, Sabrina Kieser, Martin Lischka,
Anil Reddi, Ramiz Rexhepi, Utz Rachner, Lucas Schubert,
Alexander Stucke, Julia Weber, Jörg Zwilling
Design  Digital Production: 		
Andreas Peake
Carolin Risinger, Koorosh Shojaei,
Nadine Otremba, Daniel Stucke, Stephanie Miller
For further information, please contact info@quantron.net
40
Quantron AG
Koblenzer Straße 2
86368 Gersthofen/Augsburg, Germany
Phone: +49 (0) 821 78 98 40 - 0
Fax: +49 (0) 821 78 98 40 - 99
Mail: info@quantron.net
www.quantron.net
Empower
the Future
The Innovative Zero Emission Platform

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Quantron-AG_Whitepaper-BEV-or-FCEV.pdf

  • 1. | BEV or FCEV? The complementary roles of Battery and Fuel Cell electric Trucks BEV or FCEV?
  • 2. Zero Emission. Full Power. Better Future. Have you heard about the new normal?
  • 3. | BEV or FCEV? 1. Executive Summary 4 2. Introduction 8 3. The Energy Efficiency Argument 12 4. Powertrain Considerations 14 5. Charging/Refueling Considerations 20 6. Energy Considerations 26 7. Complementary Roles of BETs and FCETs 32 8. References 38 9. Disclaimer 39 Contents
  • 4. 4 We are witnessing a concerted push towards decarbonization cutting across all industries and geographies. This is very evident in the road transport sector where we are witnes- sing a rapid increase in the adoption of elec- tric vehicles, especially in the bus and light vehicle segments. Heavy duty vehicles sector, on the other hand, has been a bit behind the curve given the significant challenges in transi- tioning them towards efficient, cost-competiti- ve, and dependable zero emission alternatives. Though they account for only a small share of all vehicles in operation, they are responsible for a much higher share of the emissions from all road transport. Stringent emission reducti- on targets coupled with the pressure from end customers to address emissions across their entire value chain is now providing a much- needed impetus for the transformation of the vehicles in this segment. Battery electric trucks (BETs) and fuel cell elec- tric trucks (FCETs) are emerging as the leading zero emission technology alternatives. Battery electric technology, especially, has seen a lot of advancements across sectors like transpor- tation and energy storage, and this provides a strong tailwind for BETs. Further, BETs have a clear edge over FCETs in terms of energy effi- ciency. It is simply more efficient to store elec- tricity directly into a battery and then use it for vehicle propulsion than using it to produce hyd- rogen and then generating electricity from the hydrogen in a fuel cell. This is also reflected in the vehicle operating costs, especially consi- dering current energy and hydrogen prices. However, BETs also have some associated challenges, and these have tempered the ini- tial enthusiasm among the end customers who were early adopters. For example, BETs are generally much heavier than corresponding FCETs or conventional diesel-powered trucks, especially if they are to be used in applications that require more onboard energy – be it for having a greater driving range per charge, or for negotiating more demanding driving condi- tions (e.g., cargo weight, topography, or extre- me weather). This requires BETs to carry much larger and heavier batteries. Beyond this, it is also important to consider the components and supply chains for BETs and FCETs. In these aspects, FCETs currently have an edge, both in terms of geopolitical considerations and long- term cost reduction potentials, which can help sustainably scale the technology solutions. Another challenge is the time required for re- charging BETs. While considerable progress is being made in fast charging electric vehicles, BETs require an adaptation of driver behavior and regulations to allow for recharging the truck potentially during the mandatory rest period. Further, significant investments are necessary in terms of infrastructure and grid upgrades to enable multiple BETs to charge in parallel, even in remote locations, in addition to space re- quirements at truck stops. On the other hand, FCETs typically require much lesser times for refueling the trucks, comparable to conventio- nal diesel-powered trucks. On the other hand, the cost of the charging/refueling infrastructu- re for these vehicles is contingent on scales. Executive Summary
  • 5. | BEV or FCEV? 5 At low volume adoption, the infrastructure costs for BETs are much lower than the cost of setting up even a small hydrogen refueling station (HRS). However, a HRS has the advan- tage of being able to refuel much more trucks in a day, leading to a better utilization rate and amortization. In other words, with larger volume adoption, the infrastructure costs tip in favor of FCETs. That said, the reliability and robustness of both chargers and hydrogen refueling net- works needs to be standardized and improved as the technologies mature. In addition to vehicle powertrain and char- ging/refueling considerations, it is also criti- cal to examine the energy dimension. While BETs have a higher energy efficiency, there are certain challenges associated with electricity. Currently, the electricity mix is itself quite car- bon intensive in many parts of Europe and North America, so charging a zero-emission vehicle with such electricity simply shifts tailpi- pe emissions upstream. Therefore, it is critical to scale up electricity from renewables, tapping sources like solar, wind, hydro and geothermal power. Even then, the electricity produced from these renewable sources is constrained geographically and temporally, and difficult to transport over longer distances to the point of consumption. On the other hand, hydro- gen is a promising energy carrier since it can be produced in a variety of ways at locations
  • 6. 6 which have favorable energy economics, and then be transported more easily to the point of consumption. It may be produced locally from on-shore wind or solar installations to improve their utilization during non-peak hours, decen- tralized at waste-to-hydrogen facilities, or at locations with much higher wind/solar energy availability and transported over pipelines or maritime ships. Further, demand and supply side factors coupled with the impetus being provided by various institutions is expected to help lower the cost of hydrogen as a fuel over the long term, which would also provide a fillip to lowering the operating costs of FCETs. Taking all these factors into consideration, it becomes clear that decarbonizing the heavy- duty trucks sector is not an either/or choice between BETs and FCETs. Instead, it is im- portant to understand and accept that the two technologies are complementary solutions for end customers looking to rapidly sink their emissions footprint. Which technology is a bet- ter alternative is determined by the specific use cases and operating conditions of the vehicles. For example, with limited loads and daily ran- ge requirements, a BET would be a favored solution. On the other hand, for a heavy goods long-haul transport use case, FCETs could be a more optimal solution from a system perspecti- ve. It is therefore crucial to consider the various dimensions together with the end customers on a case-by-case basis. Finally, given the re- spective challenges that both technologies still face, building and orchestrating an ecosystem of strong partners, including energy players, vehicle manufacturers, equipment providers, logistics providers, and financial institutions would be critical for enabling their adoption at scale.
  • 7. | BEV or FCEV? 7 Multitude of factors need to be considered and there is no silver bullet solution in decarbonizing HDTs Energy Efficiency Energy Considerations Charging/Refueling Considerations Vehicle Powertrain Considerations FCET BET BET FCET BET FCET BET FCET BET FCET Component Supply Security (e.g., EU) Long-term cost reduction potential Technology & Industrialization Readiness Energy source to on-board storage On-board storage to wheel Powertrain Weight with low on-board energy needs (e.g., low daily mileage) with high on-board energy needs (e.g., for auxiliary power) BET FCET BET FCET CCS/MCS HRS CCS/MCS HRS CCS/MCS HRS Space and location requirements Ease of charging/ refueling for driver Time for loading energy into the vehicle Infrastructure costs at low deployment scales (e.g., depot with few trucks) at high deployment scales (e.g., large truck fleets) HRS CCS/MCS CCS/MCS HRS Degree to which the alternative is advantageous or has potential Legend: Electricity Hydrogen Geographical & temporal clean energy availability Carbon intensity and energy costs Example 1: EU grid vs. domestically produced hydrogen Example 2: EU grid vs. imported hydrogen Hydrogen Electricity Ease of energy transportation with point of consumption close to point of production with point of consumption far from point of production Electricity Hydrogen Electricity Hydrogen Electricity Hydrogen BET = Battery electric truck FCET = Fuel cell electric truck CCS/MCS = Electric fast charging HRS = Hydrogen refueling station
  • 8. 8 Greenhouse Gas Emissions from Commercial Vehicles​ Number of vehicles in operation globally (2020, M units) GHG emissions globally (2020, MtCO2 ) Light Commercial Vehicles Medium Duty Trucks Heavy Duty Trucks Buses & Coaches 10 (5%) 495 (17%) 36 (17%) 587 (21%) 27 (12%) 1.183 (41%) 144 (66%) 596 (21%) Figure 1 Heavy duty trucks (HDTs)1 are a backbone of the global economy and supply chains. In the US for example, trucks haul over 10.5 billion tons of goods, making up 70% of the country’s freight. Similarly in Europe, road tractors and semi-trailers accounted for 77.8% of EU road freight transport measured in ton-kilometers and for nearly two thirds in vehicle-kilometers in 2021. Each year, over 2 million new HDTs are sold worldwide2 . As of 2020, this segment of vehicles accounted for 12% of all vehicles in operation in the world. However according to the IEA, in the same year, they accounted for 1.2 billion metric tons of CO2 emissions glob- ally. This represents 41% of global road freight emissions, which in turn accounted for 9% of global greenhouse gas emissions in 2020. There is an increasing focus on achieving ambi- tious climate goals and reducing carbon emis- sions across industries. This is perceived crit- ically especially in heavily polluting industries, including the transportation sector. Compa- nies are not only striving to reduce their direct emissions (Scope 1 and Scope 2) but also the indirect emissions arising from their complete 1. Trucks with gross vehicle weight over 16 tons. 2. Based on data from S&P IHS Markit data from May 2022. 3. Greenhouse gas (GHG) Protocol Corporate Standards divide a company’s emissions into three. Scope 1 refers to direct emissions from owned or con- trolled sources. Scope 2 refers to indirect emissions from the generation of purchased energy. Scope 3 emissions are all indirect emissions which are not included in Scope 2 that occur along the entire value chain of the reporting company, including upstream emissions (e.g., along the supply chain) and downstream emissions (e.g., when the vehicles are being driven in use). Introduction
  • 9. | BEV or FCEV? 9
  • 10. 10 4. Urban distribution comprises use cases, especially within cities, with a daily mileage up to 150km, while regional distribution comprises use cases in cities and surrounding suburbs with a daily mileage up to 250-300 km but with a return to base at the end of the day. Line-haul use cases are typically along regular and predictable routes with a daily mileage up to 500 km. Long-haul routes are typically longer with a daily mileage exceeding 500km in ad-hoc settings with limited predictability. 5. Hydrogen can also be used in internal combustion engines. However, the energy efficiency of such powertrains is only comparable to diesel powertrains, and they also require expensive exhaust gas aftertreatment systems to address their NOx emissions. They could yet find application in certain niches where their advantage of easier powertrain thermal management could play in their favor. value chain including Scope 33 . Such compa- nies are being intensively scrutinized by the society at large, regulatory bodies, investors, and other stakeholders. Consequently, they are pressuring major fleet operators globally to aggressively transition towards rapidly adopt- ing zero-emission transportation solutions. Dovetailing with these trends, regulators are not only introducing entry restrictions and low emission zones within cities, binding phase out targets for combustion engine powered vehi- cles, and other carbon taxes, but also simul- taneously rolling out significant incentive and support packages to accelerate this transition. This also includes targets for establishing the supply chains to address the inputs needed for manufacturing such vehicles and the infra- structure for supporting their usage. Against this background, it is clear that we urgently need zero-emission trucks as early as possible to help fleet operators master this transition. However, it is important to recognize that HDTs in the road freight transport sector are hard to decarbonize given the range of their applica- tions. HDTs can have a gross vehicle weight ranging from 15 tons to over 65 tons and are used under a variety of operating conditions - from urban/regional distribution to line-/long- haul, and milk runs (regular routes with high predictability) to unpredictable and varying routes4 . Concurrently, since they are capital intensive goods, fleet operators typically have high uptime requirements from such vehicles. Therefore, reliability, performance, and effi- ciency play a key role, in addition to total cost of ownership considerations. Zero-emission transportation solution for HDTs must help ad- dress their carbon footprint without adversely impacting any of these operational consider- ations. In recent years, various ideas have been under exploration to address this challenge, including electric powertrains, use of synthetic fuels or hydrogen in combustion engines, and dynamic on-route charging through overhead lines or along the road surface. Each of these alterna- tives has its own advantages and associated challenges. However, from a long-term per- spective, electric powertrains are emerging as the strongest contenders for decarbonizing HDTs. Significant progress is especially being made in the development of battery electric trucks (BETs), benefitting in the slipstream generat- ed by the rapid electrification in the light pas- senger vehicle segment. Battery electric ve- hicles have some distinct advantages which make them a very attractive solution for many vehicle segments. These advantages, such as their energy efficiency, are well documented.
  • 11. | BEV or FCEV? 11 Climate Change Increasing societal awareness regar- ding climate change and its resulting effects globally End Customer Needs​ Push towards decarbonization and reduction of Scope 3 emissions across industry sectors putting emphasis on zero emission transport/logistics Regulations Push for achieving national/regional climate targets, ICE vehicle access restrictions/phase-out targets Investor Focus Increasing emphasis on ESG ratings with performance dictating capital access and investment flows Incentives Various policies supporting zero emission vehicle purchase and infrastructure de- velopment (e.g., EU Green Deal, US Inflation Reduction Act) Tailored Solutions Increasing recognition of the diversity of CV applications and acceptance that there is no single silver bullet technolo- gy solution to decarbonize this sector Factors promoting the adoption of zero emission commercial vehicles​ Figure 2 However, in case of HDTs, the tough and var- ied operating conditions have drawn a deeper attention to some of their drawbacks. As in the case of other hard-to-abate industry sectors, the use of hydrogen is showing promise in de- carbonizing such use cases through the appli- cation of fuel cell electric trucks (FCETs)5 . It is therefore crucial to understand and evaluate the BET and FCET powertrain and component technologies and their respective advantages and challenges. Concurrently, such alternative powertrain solu- tions also engender a shift away from an exist- ing ubiquitous diesel fuel infrastructure. Apart from the higher acquisition costs, a major bar- rier in the adoption of BETs and FCETs is the current lack of recharging and hydrogen refu- eling infrastructure respectively. In its absence, HDT operators have been hesitant to purchase and incorporate such vehicles into their fleet mix. Therefore, it is not only essential to ex- amine the vehicle and powertrain technology itself, but also the outlook for the supporting energy infrastructure. The powertrain technologies needed for clean future mobility are at various stages of their development and have differing levels of tech- nological and industrialization maturity. For example, the currently announced production volumes of BETs and FCETs represents less than 5% of the global annual truck sales. Con- sequently, there is a lot of debate around their suitability towards being leveraged for decar- bonizing the transport and energy sectors. Given this background, this paper takes a nu- anced view of the intricacies involved in adopt- ing them for zero-emission trucks. Broadly, it explores energy and vehicle powertrains as- pects of BETs and FCETs. On this basis, the role of BETs and FCETs to enable a rapid de- carbonization of road freight transportation are discussed.
  • 12. 12 Time Time to plateau will be reached: 2-5 5-10 10 2 Automotive Metaverse Blue Hydrogen FCETs FUEL CELL ELECTRIC PASSENGER CARS BETs BATTERY ELECTRIC PASSENGER CARS Fuel Cells Automotiv/Digital Energy Hydrogen Electrolyzers Floating offshore Wind Turbines EV Advanced efficiency Tech Green Hydrogen AI Battery Management Solid-State-Batteries EV Smart Charging Car Wallet Car wireless Network Vehicle Digital Twin 2.0 Expectations innovation trigger peak of inflated expectations trough of disillusionment slope of enlightenment Plateau of productivity yrs. yrs. yrs. yrs. Topic: Green Ammonia Utility-scale Lithium-Ion Batteries Autonomous Vehicles Over-the-Air Software Updates Inspired by hype cycles from Gartner, Inc. Figure 3 Relative technology and industrialization readiness of BETs and FCETs An indisputable and much touted advantage of BETs is their energy efficiency. A battery elec- tric powertrain has the highest efficiency in converting the energy input into energy at the wheel. In BETs, the energy for operating the vehicle is stored in batteries, with lithium-ion batteries being the dominant and entrenched technology in the foreseeable future. This elec- trical energy is transferred into mechanical en- ergy at the driven wheels through the on-board power electronics, electric motor, and trans- mission. On the other hand, the energy for operating the vehicle in FCETs is stored as hydrogen in com- pressed gaseous or liquid state in tanks. Inside the fuel cell, the hydrogen is fed into the anode while air is fed into the cathode. A catalyst at the anode separates the hydrogen molecules into protons and electrons which flow to the cathode separately. Electricity is a result of the electrons flowing through the external circuit. This electrical energy is transferred into me- chanical energy at the driven wheels like in the case of BETs. Additionally, FCETs also have a The Energy Efficiency Argument
  • 13. | BEV or FCEV? 13 Key dimensions for evaluating BETs and FCETs Energy considerations Charging/refueling considerations Powertrain considerations Figure 4 lithium-ion battery on board to for additional/ backup power requirements, though it is much smaller than in case of a BET. From a “tank-to-wheel” efficiency perspec- tive (i.e., the efficiency of converting the ener- gy from the storage to the energy available at the driven wheel), battery electric powertrains are a clear winner with over 70% of the energy efficiency. In comparison, fuel cell powertrains typically have over 40% energy efficiency, while internal combustion engines have less than 35%. Another way of viewing this is by mea- suring how much energy (in kWh) is consumed to drive each kilometer. A recent study by The International Council for Clean Transportation (ICCT) calculated that while FCETs consume 10- 12% lower energy than diesel powered trucks in long-haul applications, BETs consume about 50% lesser energy than FCETs. Similarly, they calculated that in regional delivery use cases, FCETs consume 20-24% lesser energy than diesel trucks, but again, BETs require only half the energy in comparison to FCETs. Similarly, from a “well-to-tank” perspective (i.e., the efficiency of energy production, transport, and distribution), it is more efficient to store energy directly into a battery – this has an efficiency of about 85-90% after accounting for potential losses in transmission and vehicle battery charging. On the other hand, green hydrogen6 is produced through electrolysis, which can have up to 20% efficiency loss. The hydrogen thus produced must be compressed/ liquified for transportation through ships or pipelines7 , and then made available at the re- fueling station. This process could account for another 24% efficiency loss, as estimated by the Hydrogen Council. However, decisions for adoption of zero-emis- sion HDTs in fleets are not made purely based on the energy efficiency of the vehicles. From a real-world perspective, it is insufficient and one-dimensional to look at the energy costs or efficiencies in isolation, albeit one would expect the most efficient solution to also be the most cost effective one. The challenge of decarbon- izing the HDT sector needs to be viewed at a system level through a multidimensional lens. It is necessary to juxtapose supply-side factors such as the maturity of the technologies, green energy production and supply, and availability of supporting charging/refueling infrastructure against demand-side factors such as the cost, operational efficiency, and uptime require- ments of transport operators. 6. Depending on how it is produced, hydrogen is labelled with various colors. Green hydrogen is the one produced without any GHG emissions, typically by using clean electricity from renewable sources like solar or wind power to electrolyze water. Sometimes, the hydrogen produced by using solar energy is also labelled as yellow. Another option is to use nuclear energy, in which case the hydrogen produced is labelled as pink, purple, or red. However, the most common method of hydrogen production currently is through steam methane reforming process – this has a large GHG emission associated with it and is labelled as gray hydro- gen. If the emitted carbon dioxide is captured and stored in this process, it is labelled as blue hydrogen. However, it is important to note that blue hydrogen may not necessarily be zero carbon, since not all carbon is captured and any methane leakages during its production can sizably contribute to global warming. 7. Hydrogen may also be converted into derivatives like ammonia and transported. This would have additional associated costs and efficiency losses, especially if the derivative must be reconverted into gaseous or liquid hydrogen. However, this makes sense for end applications where there is a need for that derivative, e.g., for chemical or fertilizer industries.
  • 14. 14 Powertrain Considerations The biggest cost component of a BET is the battery. For an FCET on the other hand, the major cost component currently are the fuel cell systems and hydrogen tanks. Other com- ponents like e-axles, electronics, and motors, are not as significant differentiators between BETs and FCETs. Therefore, we focus on the technology, supply chain, and cost aspects of batteries and fuel cell systems in this section. A lot of progress has been made in the last decade in battery technology, especially for passenger cars. As a result, significant invest- ments are flowing into establishing battery gi- gafactories globally to cater to the demand for battery electric passenger vehicles. Despite this progress, it is important to closely exam- ine battery technology and supply chains in the context of heavy-duty trucks. Recent studies from global consulting firms indicate that be- yond the battery demand from passenger ve- hicles, the additional demand from BETs would amount to 275-300 GWh of batteries by 2030. While a lot of battery gigafactory investments and announcements have been made in Eu- rope and North America in the last few years, the challenges in setting up, operationalizing, and scaling them are now also becoming evi- dent. Lithium-ion batteries are the dominant tech- nology currently in battery electric vehicles, specifically with two major cathode chemis- tries finding main application. The first is with Nickel-Manganese-Cobalt (NMC) cathodes. These have witnessed rapid advances in the last decade with battery manufacturers striv- ing to decrease the Cobalt content (for supply chain reasons) and increasing the Nickel con- tent (to increase energy density). In the last two years, material price volatility, especially in bat- teries with Nickel-Cobalt-Manganese (NMC) cathodes, has seen a renewed interest in com- paratively lower cost battery chemistries like Lithium Iron Phosphate (LFP) cathodes. In com- parison to NMC, LFP is a more mature technol- ogy, though they are comparatively heavier and have a lower energy density. LFP is especially entrenched as a technology choice in the bus sector and is also being evaluated as an option for mass market battery electric passenger ve- hicle segment, light commercial vehicles and HDTs with lighter cargo carrying requirements with return-to-base use cases. Technology ad- vancements like chemistries using even higher Nickel content, silicon anodes, and solid-state batteries are seen as potential solutions to in- crease their energy density and range of BETs. However, these technologies are still in their nascency and lack of industrial readiness, thus likely having much higher cost levels in the foreseeable future. Concurrently, despite the progress being made in battery technologies in general, there is insufficient understanding on a cell level im- pact of vehicle use cases. As a result, there is a lot of work being done leveraging advanced
  • 15. | BEV or FCEV? 15 data processing and artificial intelligence ap- proaches to better model and evaluate batter- ies in terms of their charging and discharging behaviors, state of health (SoH), degradation over lifetime, residual values, and recyclability. On the other hand, technology for fuel cells as well as for hydrogen generation has been available for years. Indeed, there are some as- sociated technical challenges with adapting the systems to HDT applications like manag- ing the high-pressure hydrogen gas (at 700 or even 1000 bar pressure) without corrosion or leakages to decrease fuel consumption, ensur- ing robustness and safety, and overall perfor- mance at higher power ratings. These are seen as surmountable though since there is already a widespread knowledge of and familiarity with fuel cell components in the automotive indus- try. Through these advancements, the hydro- gen fuel consumption as well as required hy- drogen tank sizes are expected to decline in the future. The major challenge now for fuel cell systems is scaling them and reducing costs, which can only come when there is a higher penetra- tion of fuel cell vehicles. This is the proverbi- al chicken-and-egg issue, as it has also been the case with battery electric vehicles in the last few years. The technical know-how and familiarity with the technology is expected to be instrumental in achieving cost decreases through economies of scale as large volume production lines are set up and standardized. Taking fuel cell buses as an example, the vehi- cle prices are now one-third of what they were a decade ago, thanks to technological and product innovations. Leading fuel cell manufac- turers have already launched eighth generation fuel cells now, with over 30% cost reductions between successive fuel cell module genera-
  • 16. 16 Source: European Commission, Joint Research Centre: „Critical Raw Materials for Strategic Technologies and Sectors in the EU - A Foresight Study“ Figure 5 Raw materials Processed materials Components Very low Low Moderate High Very high Assemblies Battery Fuel cell Identified supply risks for the EU and EU shares of production 9% 1% 8% 0% 40% 25% 5% 1% tions. Similarly, the industry is also witnessing price reductions in hydrogen storage tanks and fuel cell electric powertrains at a system level. Even with an annual production of about 10,000 FCETs, over 60% cost reductions in fuel cells are expected. This would be in line with the targets from the US Department of Energy of achieving less than US$100/kW for an annu- al production of 150,000 systems a year. Fac- toring in these aspects, an FCET is expected to reach cost parity with a BET within the next few years. Similarly, as mentioned earlier, larger scale production of BETs would entail a correspond- ing scaling of battery production. A direct im- plication of the large-scale manufacturing of lithium-ion batteries would be on the sup- ply of raw mate- rials for meet- ing the demand accruing from it. Be it lithium, nickel, or cobalt, the process of identifying sites, building new mines, and scaling their production output can take many years. However, current invest- ments into this sector are lagging. As a result, mid-term bottlenecks are expected to lead to a demand-supply imbalance8 . Industry ex- perts especially highlight that lithium is likely to be the most critical raw material between 2025 to 2035 given that technological options for substituting it are limited, current recycling technologies have limited recovery rates, and new Lithium mine development takes up to ten years. The lithium supply bottlenecks are already manifesting in price increases for the material. Forecasts from Bloomberg New En- ergy Finance earlier in 2022 suggested that for the first time since 2010, there could be a year-on-year increase in battery prices this year amid rising raw material and component costs. It stands to reason however that battery prices will definitely fall over the long term as their supply chains scale up. 8. Sodium-ion batteries are still in a nascent stage of development but could potentially play a role in applications like energy storage devices. However, it does not have the energy density and performance required for much more demanding HDT applications. Other alternatives being investigated and developed, such as metal-air batteries, are further away from achieving any technological readiness.
  • 17. | BEV or FCEV? 17 At the same time, it is also important to gauge the geopolitical risks in lithium-ion battery sup- ply chains. A recent EU Foresight Study evalu- ated the risks in the supply chain for batteries and fuel cells. Supply chains for batteries are currently highly concentrated in far east Asia, with both Europe and North America looking to localize strategically important portions of the value chains. Given that current upstream and midstream processing is heavily dominated by Asian players, strategic independence is seen as necessary, but it will take time to achieve. However, with time, the metals mined in the future will not come cheap as resources are likely to get increasingly complicated to exploit due to lower ore grades, depth, and tighter regulations. Recycling of batteries is expected to alleviate at least a part of the metal supply crunch, but these technologies are still in ear- ly phase of industrialization and there is limit- ed experience and knowledge on the perfor- mance of batteries manufactured with recycled materials. In comparison, FCETs are less dependent on rare or constrained metals and commodities. Instead, these systems are produced mainly from carbon, steel, and aluminum manufac- tured parts. Further, only a small fraction of the materials is needed for making fuel cell powertrains in comparison to the material re- quired for battery electric powertrains, which gives OEMs more certainty over price fluctua- tions. Depending on the powertrain and vehi- cle, the material requirement in an FCET could be 15-20% of the corresponding requirement in a BET. Proton exchange membrane (PEM) fuel cells are currently the dominant technol- ogy used in automotive applications. While these use platinum as a catalyst, no shortag- es of this expensive metal are expected in the foreseeable future even if fuel cell production scales are ramped up. At the same time, fuel cells have very high levels of reusability and recyclability. Since the platinum in the fuel cell does not react in a way that makes it hard to recover or reuse, it is much easier to recycle them at the end of their lifecycle. For example, already today, the platinum used in the catalytic converters in vehicles with internal combustion engines are being recycled easily. Another major advantage of FCETs over BETs is the weight of the powertrain. FCET power- trains have a weight comparable to the pow- ertrains in conventional diesel trucks today. On the other hand, the powertrain of a 44-ton BET can typically weigh over twice as much as a corresponding FCET powertrain in long- haul application requiring a 700 km range. This is because the battery size is directly propor- tional to the power requirement of the vehicle. Even in case of line-haul application with a 400 km range requirement, a BET battery is expect- ed to weigh 1.5 times as much as a correspond- ing FCET powertrain. In fact, based on these assumptions, a sensitivity analysis shows that an FCET powertrain is lighter than a BET bat- tery for a 44-ton HDT with ranges over 200 km. In the US where long-haul trucks frequently have a daily mileage exceeding 600 miles9 , this becomes especially critical. 9. The daily mileage is comparatively lower in Europe since there are stricter limitations on drivers’ hours of service and maximum permissible speeds.
  • 18. 18 Variation of BET and FCET powertrain weights for a 44-ton tractor with increasing range on single charge/refueling Assumptions: Energy consumption of 160 kWh/100km, FCET buffer battery size of 110 kWh, 240 kW fuel cells, battery weight of ~6.3kg/kWh .......................................................................................................................................... .......................................................................................................................................... .......................................................................................................................................... .......................................................................................................................................... .......................................................................................................................................... .......................................................................................................................................... 10000 8000 6000 4000 2000 0 100 200 300 400 500 600 700 800 900 BET FCET Figure 6 BET Without Energy Battery: 700 kg Other aggregates: 500-600 kg Other aggregates: 500-600 kg H2 Tank: 1500 kg H2 Fuel Cell: 500-600 kg H2 Fuel Cell: 500-600 kg H2 Tank: 1500 kg + H2 fuel: ~70 kg Battery: ~7000 kg Battery: 700 kg With Full Tank/Battery FCET Battery: ~7000 kg Weight of different powertrain components Powertrain weight (kg) Range (km) Heavier batteries in BETs are associated with certain drawbacks, as this weight must be car- ried in addition to the cargo by the vehicle. And unlike diesel trucks or FCETs where the fuel is consumed while driving, the state of charge of the battery does not affect its battery weight in any significant way. As the range requirements increase, it becomes inefficient to also trans- port much larger and heavier batteries on the vehicle. This can lead to potential compromises on the payload and space available for the car- go. This may not severely handicap the trans- portation of lighter or voluminous cargo but is especially relevant for full truck load transpor- tation of heavy freight. In the HDT sector where every kilogram of weight counts towards the revenues and operating margins of transport operators, additional powertrain weight is still seen very critically. It is also important to recognize that some ap- plications have additional power requirements. As an example, a 44-ton truck with refrigerat- ed trailer will require 20 kWh of energy just for cooling the cargo each hour. For a BET with 400-500 km daily range with limited time for recharging, this poses a lot of additional de- mand. In a BET with about 500 kWh usable battery capacity, approximately 200 kWh en- ergy would be used just for the cooling. This would penalize the range that could be driven between each charge. Similarly, topography
  • 19. | BEV or FCEV? 19 and driving conditions also have an impact on the energy requirements. For example, if a fully loaded truck must drive uphill in cold tempera- tures against a headwind, the battery electric range could drop to about 50%. In a fuel cell truck, the corresponding drop in range would be much less significant. While adding bigger batteries would increase the energy available on board, this would again lead to additional battery weight, costs, and charging time re- quirements. In some cases, like in Europe, addi- tional allowances for vehicle length and tractor weight are being considered for zero-emission HDTs which can potentially help mitigate such a handicap. While this may mitigate some of the potential impact on cargo space or weight, the extra weight of the batteries must still be trans- ported by the truck. On the other hand, these issues are much less severe in case of FCETs. Additional energy or range requirements can be met by storing more hydrogen on board. While costs can accrue for additional hydrogen tanks, this are much less- er than the cost of additional battery capacity on board. This advantage become even more prominent when we evaluate the time needed for loading energy into the vehicle.
  • 20. 20 BET Estimated Charging time for ~500 kWh usable energy FCET Today* ​ (with CCS)​ Today ​ (60g/s of H2 dispensing)​ Future* ​ (with MCS)​ Future ​ (120g/s of H2 dispensing)​ Comparison of BET charging and FCET refueling times 90-120 MIN 45-60 MIN ~20 MIN ~10 MIN Figure 7 * Depending on starting and finishing state of charge (SoC) Given the high uptime requirements of fleet op- erators, it is important for zero-emission HDTs to be reloaded with energy as quickly as pos- sible. In case of BETs, this is the time needed for recharging the battery, while for FCETs, it is the time needed for refilling the hydrogen tank. Currently, depending on its capacity, a hydro- gen tank can be filled with gaseous hydrogen at 700 bar pressure in about 20-30 minutes to enable the FCET to have a real driving range of 600 to 700 km. With technical improvements, the refilling time could potentially drop to 10-15 minutes in the future, which is comparable to the refueling time in conventional diesel fueled HDTs. This offers FCETs a significant edge. In the case of BETs, various charging ap- proaches must be considered depending on the power output of the chargers. In use cases where the trucks return to the base like urban or regional distribution, it would be necessary to have overnight chargers at the fleet hubs. For longer distance applications like line-haul or long-haul use cases, chargers are need- ed along the public roads. This would include overnight chargers at highway rest stops. Typi- cally, these chargers have a comparatively low- er power rating and can recharge the battery with a range of about 400 km over 8 hours, i.e., at about 50 km range per hour of charging. As discussed earlier, cost and weight consid- erations imply that BETs cannot carry large enough batteries to allow them to operate longer distances through the day on a sin- gle charge. With current European regula- tions mandate that truck drivers must have a 45-minute break once in every 4 hours of driving,theHDTmustcarryatleastsufficienten- ergytodriveforthisperiodandcanberecharged during the break time. Higher power chargers are also necessary at highway rest stops to Charging/Refueling Considerations
  • 21. | BEV or FCEV? 21 cater to this need. Currently, these chargers can deliver 300-350 kW of power using the Combined Charging System (CCS) standard. In parallel, truck and bus manufacturers are work- ing together to develop the Megawatt Charging System (MCS) which can allow a charging pow- er of over 800 kW10 . This is expected to be- come the industry standard after 2025. The EU EV Charging Masterplan outlines how many public and private chargers are necessary in Europe to reach a 30% reduction in CO2 emis- sions in HDTs by using BETs. This shows that to support BET adoption, a significant ramp-up of charging infrastructure is necessary. Despite these superfast charging standards, FCETs retain their comparative advantage in refueling time. A recent study in the US found that due to the longer recharging time and low- er range per charge, a BET driving cross-coun- try would have to make more frequent stops and longer stay at each stop. As a result, an FCET undertaking the same journey could take up to 35% lesser time to complete it. Even from a longer-term perspective, if and when fully au- tonomous trucks gain adoption, there would be no need for driver service breaks or mandatory rest times, leading to a higher daily mileage. In such cases too, FCETs will gain attractiveness with fewer stops needed and faster refueling times. Theoretically, combining faster charging speeds with the mandatory break time could provide a solution for recharging BETs. Howev- er, this could be difficult to achieve in the real world. A truck arriving at a highway rest station must be able to find a parking bay with a func- tioning charger available exactly at the time it arrives for this approach to function seamless- ly. In addition to charger density and availabil- ity, the quality and reliability of the chargers also needs to be ensured by learning from the teething issues being experienced currently in the rollout of the charging network for pas- senger cars. Further, customer acceptance of such operating approaches is still untested and not proven in the HDT sector. For example, 10. The impact of such superfast charging on batteries is currently not sufficiently investigated. Experience in passenger vehicles and consumer devices shows that frequent fast charging leads to quick degradation of the battery’s SoH. This can severely impact the lifetime of the battery, as well as the residual value of the battery and the vehicle at the end of its useful life. This also introduces significant complexity and uncertainty in the capability of OEMs and their partners to tailor financial packages for customers looking to rent, lease, or subscribe to zero-emission vehicles, since there are no models to help evaluate and calcu- late these effects currently.
  • 22. 22 driver unions in Europe have expressed con- cerns and are seeking clarification on the need for the drivers to keep a track on the charging progress of their BETs, since strictly speaking, this should be treated as working hours and not as rest time for them. In addition to that, there are two factors which need to be considered. The first is the number of charging locations needed. Taking North America as an example, estimations from the US Clean Air Task Force indicate that due to the longer charging times of BETs, if all HDTs were switched purely to BETs, more than eight times as many locations would be needed for fast charging than the number of hydrogen refuel- ing stations (HRS) for a fully FCET network. Fur- ther, not all highway rest stops have the space on offer for multiple BETs to be parked and charged simultaneously. Similarly in Europe, though some experts have estimated that hav- ing 3-4 MCS 800 kW chargers per highway rest station11 might be sufficient to deploy BETs, grid connections and space for the vehicles are not available at many of them. Multiple parking bays are also needed for vehicles which are waiting for the next available charging opportunity. The second factor which needs to be consid- ered is the impact of BET chargers on the elec- tricity grids. It is a fact that currently grids are not equipped to cope with the sheer amount of electricity required to fast-charge multiple battery trucks at the same time. For example, if twenty BETs were to a simultaneously use 1 MW MCS chargers at a highway truck stop, the demand would be greater than the pow- er requirement of a town with about 25,000 inhabitants. From the point of view of the net- work operators, MCS is not possible in all lo- cations since significant grid upgrades would be necessary to deploy BETs at scale. In oth- er words, regional grid transmission including cabling and capacities in the substations need to be upgraded to meet these demands, even in relatively remote locations along highways. If these upgrades are not taken up, there would be a risk of blackouts from the collapse of the grid. There are already instances of pow- er generation companies and grid operators, especially in the US, struggling to cope with the demand stemming from the adoption of small fleets of commercial electric vehicles at depots12 . In a country like Germany moreover, current estimates suggest that the upgrade 11. In addition to lower power overnight chargers. 12. Given rapid additions in renewable energy generation, the additional power requirement from electric vehicles is expected to be manageable. Bloom- bergNEF expects this to not add more than 15% over the estimated global electricity consumption in 2040. The challenge, however, is that high speed chargers will draw a lot of electricity very quickly at a single place and time, which will impact the grid.
  • 23. | BEV or FCEV? 23 Thousands of charging stations required to reach -30% CO2 emissions for trucks in EU-27 Source: EU EV Charging Masterplan Charging infrastructure requirements for BETs in Europe to reach -30% CO2 emissions Public overnight Fleet hub/depot Public fast charging (highway) 2021 1 34 12 1 2025 47 2030 280 235 36 9 6k MCS ~800 kW chargers 30k CCS ~300 kW chargers Source: Europe Electric Vehicle Charging Infrastructure Masterplan Figure 8 and approval process for establishing a high voltage connection to the grid could take as long as ten years due to administrative and bu- reaucratic hurdles. A recent study estimated that also in the US, a grid connection that can handle over 5 MW can take up to eight years to build and costs tens of millions of dollars. Substantial infrastructure investments are a requirement for both BET and FCET solutions. However, the cost of setting up the charging infrastructure at one location is comparatively lower in case of BETs than in case of FCETs. A recent study by Strategy estimated that for a medium-sized logistics company with a fleet of ten trucks, about €450,000 investment would be needed for a depot charging system with three 250kW chargers. They also estimated that for a highway charging park with six fast chargers of 1.5 MW rating and 28 overnight chargers of 150kW rating would require a €8.5 million investment. In comparison, the same study estimated that a HRS with five dispensers and 5 kg H2/minute dispensing capacity would require an invest- ment of about €10 million. Despite the higher cost, however, the much faster refueling time of FCETs means that such an HRS would be capa- ble of refueling about 200 FCETs a day, which is indicative of a much higher utilization – even when compared with a MCS charger. This also means that the investment in the HRS can be amortized over a larger number of vehicles, re- sulting in a lower unit economics. Further, the number of HRS required would also be lower than the number of charging stations needed. For example, the European Fit for 55 Alterna- tive Fuels Infrastructure Regulation mandates one HRS every 150 km along the TEN-T core
  • 24. 24 highway network by 2030. Further, by setting up of depot HRS, some estimates suggest that it could even suffice to have one HRS at about every 300 km of the TEN-T network in Europe to support the FCETs in operation. The advantage of hydrogen-powered commer- cial vehicles is already being seen in case of fuel cell electric buses. Looking at infrastruc- ture costs, the higher vehicle purchase cost can be offset by the lower cost of the HRS in- frastructure at scale. In other words, the infra- structure cost for fuel cell buses is seen to de- crease as their volume of adoption increases, since the HRS can be shared by over 100 buses at the same depot. On the other hand, as the number of deployed battery electric buses per depot increases, the cost of the infrastructure per vehicle also increases due to the need for more power. Given the costs associated with setting up the charging or refueling infrastructure at each lo- cation, some experts have argued that build- ing up both infrastructures could potentially amount to a waste of public resources. Howev- er, a recent analysis by McKinsey Company found that it would in fact be cheaper to build out an optimal mix of both BET and FCET infra- structure based on use cases and considering system level costs and efficiency, rather than exclusively one of them. This perspective has also been supported by the European Union Clean Hydrogen Joint Undertaking. Here, it is important to recognize the impact that the scale of BET or FCET adoption plays. At smaller scales, it is cheaper and easier to op- erationalize a few BETs with a depot charging station costing about €120,000. A single on- site HRS in comparison could cost €2-3 mil- lion depending on size, i.e., kilograms of hy- drogen delivered and number of dispensers. However, the unit economics can be spread out if there is a minimum base coverage with a substantial number of FCETs using that HRS. At larger scales therefore, HRS infrastruc- Schematic variation in infrastructure costs with increasing BET and FCET adoption Figure 9​ BET FCET Number of Trucks Infrastructure Unit Costs High Low Low (10s) High (100s)
  • 25. | BEV or FCEV? 25 ture is less costly to setup than BET charging infrastructure, along with the advantage of lower demands on grid upgrades. According to McKinsey Company estimates, the cost of charging infrastructure for BETs would amount to 0.11 USD/kWh, while in case of refueling infrastructure for FCETs would only amount to 0.03 USD/kWh. Nevertheless, both infra- structures need to be robustly designed to be high-capacity HDT stations with in-built redun- dancy of key elements to ensure that they are reliable and dependable.
  • 26. 26 Energy Considerations The energy used to power the zero-emission vehicles is another dimension which needs to be examined in the context of decarboniz- ing road freight transport. One of the signif- icant triggers for this decarbonization is the increasing scrutiny on the Scope 3 emissions of vehicles when they are in use, i.e., the de- ployment of zero-emission vehicles must help abate the CO2 emissions from their use phase. In this context, both BET and FCET are ze- ro-emission solutions since they have no tail- pipe emissions and have, therefore, no down- stream Scope 3 emissions. However, it is also equally important to mitigate the upstream Scope 3 emissions. This places the emphasis on how clean the energy used for manufactur- ing the vehicle components as well as for oper- ating the vehicles is. For example, battery manufacturing is an en- ergy intensive process, with about 50 kWh of energy currently needed to produce 1 kWh of batteries. By factoring in the current carbon in- tensity of the energy mix in Europe, it can be estimated that a battery produced in France today has roughly a tenth of the carbon inten- sity of a battery produced in Poland. If potential carbon taxes are factored in at an average val- ue of 30 USD/tonCO2 , then this would be equiv- alent to a price difference of roughly 1 €/kWh of battery capacity between a battery produced in these locations. In fact, battery manufactur- ers in Norway and Sweden take pride in being able to manufacture the cleanest batteries compared to other European battery gigafac- tory locations, given the abundance of clean energy available there. The same argument also applies for the ener- gy used to charge electric vehicles. If the ve- hicles are recharged with electricity produced from coal or gas, then it effectively means that though the tailpipe emissions are nullified, they are simply shifted further upstream in the val- ue chain. For achieving climate goals, it is es- sential to decarbonize the entire value chain, including manufacturing of zero-emission ve- hicles/components (upstream) and the vehicle use (downstream). This highlights the impor- tance of decarbonizing energy supply, given that there is a rapid increase in the adoption of battery electric vehicles (especially in the pas- senger car and other small vehicle segments
  • 27. | BEV or FCEV? 27 Electricity carbon intensity in Europe and US in the Last 12 Months 0 200 400 600 800 CO2 Intensity (gCO2 eq/kWh) Source : electricityMap Figure 10 globally) and thus a proportional hike in the en- ergy demands stemming from the operation of these vehicles. Currently, the electricity sup- ply both in continental Europe and in the US is quite carbon intensive. Similarly, the process of electrolysis to gener- ate green hydrogen is also energy intensive. To generate 1 kWh of green hydrogen, about 1.2-1.4 kWh of electricity is needed. The carbon footprint of the hydrogen can only be minimal if it is produced with clean electricity produced from renewable sources. At a system level, this also means that if the power used for electrol- ysis is drawn from the grid, it should not be re- placed by fossil-fuel based electricity to cater to other demand sectors. A recent study by Oliver Wyman estimated that if this were to be the case and electricity generated from natu- ral gas was used as the source, then producing 1 MWh of green hydrogen could have twice the CO2 emission at system level than producing the same amount of gray hydrogen by steam methane reforming. Consequently, questions are often raised about the economic efficiency of locally pro- duced green hydrogen in regions like western Europe, since it is a lower-value product pro- duced by using electricity, a higher-value prod- uct. Hydrogen prices are a function of where it is produced and with what energy prices. Jux- taposed with the rapidly growing demand for clean electricity, the economics for local green hydrogen production become unfavorable in such regions. Here, it is already difficult to meet the (peak) demands purely with clean energy, given that the availability of electricity gener- ated from renewable sources like wind or sun is geographically and temporally constrained. For example, northern Europe or northern USA are roughly 2.5 times less efficient in capturing and utilizing solar energy than sun-rich areas to their geographic south. Taking Germany as a case example, the onshore wind and solar en- ergy load factors are estimated to be 25% and 12% respectively. Given the capital expenditure that electrolysers entail, they need to be oper- ated at high utilization rates to be cost-efficient.
  • 28. 28 Tankers, pipelines: easier to transport as molecule, only non-carbon molecule option for green energy transport Green Hydrogen Transportation of green electricity and green hydrogen​ Energy carrier: Hydrogen molecules Electricity grid harder to transport over long distances Energy carrier: Electrons Green Electricity Figure 11 Consequently, hydrogen prices are much cur- rently rather expensive, driven by both capital and operating expenses. The resulting higher energy costs for FCETs in comparison to BETs can effectively erode any advantage gained from the FCET refueling infrastructure costing lesser than the corresponding BET charging infrastructure. However, a major differentiator between green electricity and green hydrogen is the effort needed to bring them from their point of gen- eration to their point of consumption (i.e., charging station or HRS respectively). It is diffi- cult to transmit electricity over long distances since it can incur significant transmission loss- es13 . Therefore, the electricity used for charging BETs needs to be produced relatively close to the point of consumption. Further, this energy is priced at spot rates. In comparison, it is much easier to transport hydrogen molecules over long distances than electricity transmission (i.e., transporting electrons). Large volumes of hydrogen can easily be transported over much longer distances as gaseous or liquified hydro- gen or derivatives like ammonia, through new pipelines, repurposing existing pipelines, or on maritime ships/tankers14 . This means that hydrogen can be produced at sun or wind-rich locations where the load factors or utilization rates are much more fa- vorable economically15 and transported to the point of consumption. As an example, the same solar installation in the Middle East would have more than twice the annual output of energy than if it were installed in Germany. Consequently, even after accounting for high- er losses from a sun-to-wheel perspective for FCETs, the system-level energy output would be comparable to using locally produced solar energy to charge a BET. Further, producing hy- drogen at renewable energy rich locations also has a much lower carbon footprint than in using carbon intensive local electricity supplies. De- pending on location, this can be comparable or 13. Transmission losses estimated to be between 6 to 10 percent per 1,000 km in high-voltage alternating-current grids and about 4 percent per 1,000 km in high-voltage direct-current grids (which are subject only to ohmic losses). 14. For low volumes and across short distances, it could be cheaper to produce hydrogen locally, potentially with imported renewable electricity. However, for distances of over 500 kilometers, pipelines are better suited to import hydrogen economically and with larger volumes. Repurposing existing natural gas pipelines can decrease the infrastructure investment costs to as low as one-third of building new dedicated pipelines. This mode is well suited for moving hydrogen within Europe or for importing from neighboring regions with pre-existing infrastructure. For import routes across much long distances (3,500 km or more), maritime shipping is emerging as the preferred option when hydrogen pipelines may not be possible. 15. Current forecasts suggest that green electricity prices in the Middle East and North Africa region could drop to as low as 0.045 €/kWh by 2030 and further to 0.015 €/kWh by 2050.
  • 29. | BEV or FCEV? 29 Sun-to-wheel efficiency: Germany vs Middle East Germany Middle East 950 kWh 680 kWh 660 kWh 2200 kWh Source: Hydrogen Council, McKinsey Co. Figure 12 13% Transmission + charging losses 18% TTW losses 20% Electrolysis 24% Shipment/ distribution 50% TTW losses even lower than the carbon footprint of battery electric vehicles, according to a recent study published by the Hydrogen Council. Similarly, there is a lot of potential to tap into hydropow- er is the Nordic region or geothermal energy in countries like Iceland and using it to produce green hydrogen for consumption in Europe. Though green hydrogen supply is a quite con- strained today, there are both demand and supply side effects which support its scaling. Unlike earlier generations of fuel cell vehicles which had a lot of hype but could not reach any significant market penetration, the develop- ment of hydrogen solutions is not happening in isolation but rather as part of an overall en- ergy transition and shift to renewable energy sources now. Hydrogen is necessary to decar- bonize many hard-to-abate industry sectors like steel, chemicals, and fertilizers. In fact, it is estimated that in 2030, the hydrogen demand in non-transport sectors would account for over 80% of the total global hydrogen demand. This causes scale effects from a demand side, which in turn helps lower midstream infrastruc- ture investment costs. An increasing number of investors, govern- ments, and energy players have been an- nouncing plans for ramping up green hydrogen production. The US Inflation Reduction Act 2022 makes significant provisions for sup- porting the building up of local hydrogen val- ue chains, for example. The US DOE National Clean Hydrogen Strategy and Roadmap draft sets a target of 10 million metric tons (MT) of domestically produced clean hydrogen by tap- ping various energy sources. Similarly in Eu- rope, multiple projects have been identified and supported with public funding from the European Commission as Important Projects of Common European Interest (IPCEI), covering
  • 30. 30 Source: European Hydrogen Backbone initiative Figure 13. Oslo Stockholm Helsinki Talinn Riga Vilnius Gdansk Warsaw Krakow Bratislava Budapest Ljubljana Vienna Prague Leipzig Berlin Munich Frankfurt Cologne Rotterdam London Paris Lyon Milan Venice Marseille Rome Palermo Barcelona Valencia Almeria Tarifa Madrid Lisbon Porto Bilbao Bordeaux Manchester Dublin Cork Edinburgh Göteborg Copenhagen Hamburg Bucharest Sofia Athens C D E A B The five hydrogen supply corridors could be: • Corridor A: North Africa Southern Europe • Corridor B: Southwest Europe North Africa • Corridor C: North Sea • Corridor D: Nordic and Baltic regions • Corridor E: East and South-East Europe Potential hydrogen supply corridors for Europe​ hydrogen technology and infrastructure devel- opment along its entire value chain. Additional emphasis on Europe’s hydrogen strategy has also come from the recent geopolitical devel- opments and the need to have greater energy security. The REPowerEU plan was announced three weeks after the war in Ukraine started to increase the ambition for renewable hydrogen from 5.6 million MT to 20 million MT in 2030. This includes 10 million MT of domestically pro- duced hydrogen supply, complemented with another 10 million MT imported from outside the EU. Given the scale of the hydrogen demand, there is a recognition that Europe will have to import clean energy from other regions or partners. From this perspective as well, hydrogen is the best solution if the imports must be limited to non-carbon molecules. The European Hydro- gen Backbone initiative has identified 5 poten- tial pipeline supply corridors to deliver access to sufficient and low-cost hydrogen supplies. The vision is to initially connect local supply and demand within Europe, and then expanding and connecting the continent with neighboring regions exhibiting an export potential. Addi- tional supply could be secured through mari- time shipping, with the German Canadian Hy- drogen Partnership being one such example16 . In addition to the imported hydrogen, there are also additional opportunities in the mid-term to produce hydrogen locally, taking both cen- tralized and decentralized approaches. Cen- tralized production could be deployed at larger scales by leveraging not only offshore wind, but also using geothermal or hydropower sources. On a regional level, generating hydrogen from waste is also seen as a promising opportunity with the potential to use agricultural and for- estry waste, municipal solid waste, and landfill gas. Further, there is also potential to tap into excess onshore wind energy at a local level. For example, it has been estimated that over 6 million kWh of green electricity went untapped in 2020 in Germany, simply because windmills were stopped at times when there was an ex- cess supply in the grid. In such cases, the cur- 16. The US is currently expected to have access to sufficient regionally produced clean hydrogen to meet its demand. 17. It should be noted that also in energy storage and grid balancing applications, lithium-ion batteries offer a far more energy efficient solution to store excess re- newable energy than green hydrogen production, especially in cases where the oversupply is only for short periods. They have only about a 15% efficiency loss and a lower capital cost per megawatt than electrolysers. However, the supply chain constraints discussed earlier also apply to batteries in this application. Further, a temporal dimension must also be considered. While lithium-ion batteries are better suited for short-term storage and there is a future potential for sodium-ion batteries, longer term energy storage is a field where nascent alternatives like flow batteries could potentially compete with hydrogen in the future.
  • 31. | BEV or FCEV? 31 tailment of renewable energy production due to demand or grid throughput shortage is ef- fectively energy that is lost. This excess ener- gy could have been harvested and converted into hydrogen with smaller-sized electrolysers, thereby increasing the systemic output. Fur- ther, some experts have even suggested that such local hydrogen generation can aid under peak load conditions and reduce the scale of grid upgrades necessary. These advancements are also expected to provide sufficient momentum to address the issue of high green hydrogen costs by leverag- ing the falling costs of renewable energy and improvements in electrolyser technology. In fact, the cost of green hydrogen has fallen by 60% from between USD $10-$15/kg in 2010 to as low as USD $4-$6/kg today in some loca- tions. According to industry reports, forecasts suggest that they will continue to fall, with off- shore wind-based electrolysis having another 60% cost reduction potential between now and 2030. Similarly, large scale manufacturing of electrolysers are being set up, supported by initiatives like IPCEI in Europe, adding up to 45 GW of annual manufacturing capacity by 2025. Experts at McKinsey Company esti- mate that such a shift to large scale production facilities and distribution networks would help decrease hydrogen prices by close to 70% by 2040 compared to today’s levels. Taken togeth- er, these factors are expected to help address the current challenges with hydrogen applica- tion in the transport sector, and specifically in the case of FCETs.
  • 32. 32 With regulators, investors, end customers, and the society at large seeking a rapid transition to zero-emission transport solutions today, we are at the beginning of the transition towards decarbonized transport. BETs and FCETs are the leading options to master this transforma- tion, but they are still at early phases of techno- logical and industrialization readiness. Taking a system-level view, it is evident that each tech- nology alternative has its respective strengths but also associated challenges. BETs have benefitted from the advancements in battery electric vehicles in general and are closer than FCETs to customer adoption to- day. Their advantages like their energy efficien- cy and ease of deployment in smaller fleets makes them very attractive for certain use cas- es, especially when limited range or lower aux- iliary energy requirements are sufficient. The industry is seeing an increasing number of BET models being launched with incremental inno- vations in product specifications, performance attributes, and overall reliability and durability. Concurrently, early adopters of BETs have also become sensitized to their limitations. This has provided a fillip to the development of FCETs, which may not have the same energy efficien- cy but have potentially significant advantages over BETs in terms of charging times and ex- perience, range, operational efficiency, and uptime. There is an increasing recognition that FCETs have a crucial role to play in use cases where BETs are severely challenged, such as line-haul and long-haul sectors. In such cases, FCETs also have the advantage of not penal- izing the cargo space and weight limitations. Similarly, in use cases where time is a con- straint, either at highway rest stations or while cargo handling at hubs/depots, it would be in- sufficient for recharging BETs but FCETs would be better suited. Convenience and flexibility are key customer needs in the HDT space which give FCETs an edge. Though a 100% BET fleet could be ca- pable of handling many urban or regional dis- tribution loads by operating along a spoke to and from a hub, an FCET could handle regional delivery routes but also longer routes with little time needed for refueling. A more flexible fleet is one that may earn more for the business, . Complementary Roles of BETs and FCETs
  • 33. | BEV or FCEV? 33 BET and FCET favorability by use case​ Figure 14 Trip distance (km) Volume-constrained transportation 50% / 50% volume/ weight-constrained Weight-constrained transportation Time available for interim charging/refueling​ BET FCET High Low – – – – – – – – – – – 200 300 400 500 600 700 800 900 1000 Based on the Based on the specific use case, specific use case, BET or FCET BET or FCET could be could be better suited​ better suited​ and this is also likely to influence the purchas- ing decisions, especially of big fleet customers who would be able to better amortize the infra- structure costs associated with hydrogen fuel. Beyond this, the system-level effects like the impact on electricity grids, temporal and geographic limitations of renewable energy, and relative ease of transporting energy to the point of consumption are also important factors influencing the adoption of BETs and FCETs. Depending on the availability and na- ture of renewable energy, electricity versus hydrogen fuel costs could skew heavily to fa- vor one or the other powertrain type. Quicker road freight decarbonization can be achieved by combining it with a low-carbon clean ener- gy system which is independent of the elec- tricity mix. Especially in regions with limited or constrained grid capabilities and limited local green energy production, FCETs can become the preferred technology option that fosters greater resilience, cost-efficiency, and optimi- zation at a system level. A pragmatic first evaluation of these multi- ple dimensions can be achieved by using es- tablished tools like balance scorecards. One such version, developed through interactions with a selection of our customers and indus- try experts, is shared here. Drawing on the system-level effects evaluated in this whitepa- per, a set of criteria were selected, provided weightings, and evaluated on a scale of 1 to 5 in three different use cases, namely urban dis- tribution, regional distribution, and long-haul heavy load transport. Summing the weighted ratings, it is again evident that while BETs are clearly favorable in some cases, there are oth- ers where FCETs have an edge. In other words, this emphasizes that BETs and FCETs are com- plementary solutions towards the decarbon-
  • 34. 34 Examples of use cases and favored powertrain option Figure 15 Use Case E-commerce platform Food logistics Heavy goods transport Description Multiple small-sized packages distributed from a suburban warehouse (depot) to end customers across a city Regional distribution of meat, fish, vegetable, and dairy products with refrigerated/ chiller body Long-haul transport of goods with heavy duty tonnage Cargo description Small payload but higher volumes Mixed focus on volume and weight Focus on weight (GVW 40-65 tons) Daily mileage 150 - 200 kilometer range 150 - 250 kilometer range 700+ kilometer range Additional power requirements Tail-lift For maintaining cargo at required temperature Depending on superstructure, trailer, and type of goods transported Favored powertrain solutions ✔ BET ✔ BET or FCET ✔ FCET ization of heavy-duty transport. Ultimately, the penetration rates of BETs and FCETs will be de- termined by the most relevant factors for fleet customers or drivers, which will also influence the total cost of ownership. Taking all these factors into consideration, the complementary roles of BETs and FCETs in decarbonizing HDT transport sector, depend- ing on use cases and contextual conditions, becomes very clear. Hedging bets with two technology pathways helps de-risk the most significant transition in the automotive indus- try’s history. The two technologies and their supporting ecosystems need to be jointly ac- celerated and scaled. This not only includes building the charging infrastructure in key re- gions and along key routes, including high pow- er charging stations that can support BETs that allow for fast charging to reduce dwell times, but also achieving cost reductions in hydro- gen technologies such as electrolysers and HRS through scale effects and leveraging ex- perience curves. Finally, to achieve a compet- itive total cost of ownership, the right policy measures, incentives, and business model approaches are necessary for both BETs and FCETs. Given the respective challenges in powertrain, charging/refueling, and energy dimensions discussed earlier, it will be essen- tial to build and orchestrate an ecosystem of strong partners, including energy players, ve- hicle manufacturers, equipment providers, lo- gistics providers, and financial backers. We are only just starting on a long and wind- ing path towards large scale adoption of zero-emission HDTs globally. Despite the challenges and the scale of transformation re- quired across multiple industries in achieving
  • 35. | BEV or FCEV? 35 this goal, it can be reached through concerted efforts by all stakeholders involved. This starts with a nuanced understanding of the solutions available and how and where each of them is a suitable fit. Equipped with that knowledge, the right strategies and business models can be developed and deployed towards decarbon- izing road freight transports. We remain con- vinced that this is not an either-or choice be- tween BETs and FCETs, but rather, a matter of creating synergies and an optimal mix between the two technology solutions.
  • 36. 36 Use Case: Dimension Sub-Dimension Weight R Equivalent energy efficiency Well-to-tank 2% Tank-to-wheel 10% Vehicle powertrain technology Vehicle acquisition operating costs 15% Technology industrialization readiness 4% Supply security 2% Powertrain weight (vs. energy need) 8% Kilometers of range per charge/ refueling 10% Charging/refueling experience Time for recharging/refueling 10% Ease of charging/ refueling for driver 5% Infrastructure costs availability #Charger / #HRS dispensers 5% Infrastructure costs 10% Infrastructure robustness(e.g., grid stability) 4% Energy considerations Geographical/ temporal availability of clean energy 3% Carbon intensity 2% Energy price 10% Total (Scale: 1 = bad, 5 = good) 100% Have you heard about the new normal? Zero Emission. Full Power. Better Future.
  • 37. | BEV or FCEV? 37 Last Mile distribution GVW 18t, 150 km mileage Regional distribution GVW 27t, 200 km mileage Long-haul distribution GVW 44t, 700 km mileage BET FCET Rating Score Rating Score BET FCET Rating Score Rating Score BET FCET Rating Score Rating Score 4,50 0,09 2,50 0,05 4,50 0,09 2,50 0,05 4,50 0,09 2,50 0,05 3,50 0,35 2,00 0,20 3,50 0,35 2,00 0,20 3,50 0,35 2,00 0,20 4,00 0,60 1,50 0,23 3,50 0,53 2,00 0,30 3,50 0,53 3,00 0,45 4,50 0,18 2,00 0,08 4,00 0,16 2,00 0,08 4,00 0,16 2,00 0,08 1,50 0,03 2,50 0,05 1,50 0,03 2,50 0,05 1,50 0,03 2,50 0,05 4,50 0,36 1,50 0,12 4,00 0,32 2,00 0,16 1,50 0,12 4,50 0,36 2,50 0,25 3,00 0,30 1,50 0,15 3,00 0,30 1,50 0,15 3,00 0,30 3,00 0,30 4,50 0,45 1,50 0,15 4,50 0,45 1,50 0,15 4,50 0,45 3,50 0,18 3,50 0,18 2,50 0,13 3,50 0,18 1,50 0,08 3,50 0,18 2,00 0,10 3,00 0,15 1,50 0,08 3,00 0,15 1,50 0,08 3,00 0,15 3,00 0,30 2,00 0,20 2,50 0,25 2,00 0,20 2,50 0,25 2,00 0,20 1,50 0,06 3,00 0,12 1,50 0,06 3,00 0,12 1,50 0,06 3,00 0,12 1,50 0,05 3,50 0,11 1,50 0,05 3,50 0,11 1,50 0,05 3,50 0,11 3,00 0,06 3,50 0,07 3,00 0,06 3,50 0,07 3,00 0,06 3,50 0,07 3,50 0,35 3,00 0,30 3,50 0,35 3,00 0,30 3,50 0,35 3,00 0,30 3,25 2,60 2,74 2,71 2,49 3,06 QLI BEV 3,25 QHM BEV 2,74 QHM FCEV 3,06 3,25 2,74 3,06
  • 38. 38 1. ACEA: “European EV Charging Infrastructure Masterplan” 2. Ballard Power: “Fuel Cell Price to Drop 70-80% as Production Volume Scales” 3. BloombergNEF: “Race to Net Zero: The Pressures of the Battery Boom in Five Charts” 4. BloombergNEF: “Electric Vehicle Outlook 2022” 5. Clean Air Task Force: “Why the Future of Long-Haul Heavy Trucking Probably Includes a lot of Hydro- gen“ 6. Clean Hydrogen Partnership: “The Road to Net Zero - Study on the strategic de- ployment of battery-electric vehicles and fuel cell-electric vehicles infrastructure” 7. Electricity Maps 8. European Commission, Joint Research Centre: “Critical Raw Materials for Stra- tegic Technologies and Sectors in the EU - A Foresight Study” 9. European Hydrogen Backbone initiative 10. Eurostat: “Road freight by vehicle characteristics” 11. Hydrogen Council: “Roadmap towards zero emissions - The complementary role of BEVs and FCEVs” 12. Hydrogen Council: “Hydrogen Insights 2022 – An updated perspective on hy- drogen market development and actions required to unlock hydrogen at scale” 13. IEA: Trucks and Buses 14. Journal of Energy Storage: “Cost-effective technology choice in a de- carbonized and diversified long-haul truck transportation sector: A U.S. case study” 15. McKinsey Company: “Preparing the world for zero-emission trucks” 16. McKinsey Company: “Unlocking hydrogen’s power for long-haul freight transportation” 17. National Grid: “Electric Highways Study” 18. Nationale Leitstelle Ladeinfrastruktur: „Einfach laden an Rastanlagen“ 19. Oliver Wyman: “Green vs. Blue Hydrogen – A Perspective on scaling low-carbon hydrogen production” 20. PwC Strategy: “The dawn of electrified trucking - Routes to decarbonizing com- mercial vehicles” 21. Shell: “Decarbonizing Road Freight: Getting into Gear” 22. The ICCT: “Fuel Cell Electric Tractor-Trailers: Technology Overview and Fuel Economy” 23. US Department of Energy: “National Clean Hydrogen Strategy and Roadmap” 24. Wasserstoff-Kompass: “Wasserstoff im Mobilitätssektor“ References
  • 39. | BEV or FCEV? 39 DISCLAIMER: This publication has been prepared as a general guidance and purely for informational purposes. The information contained in this presentation is based on sources considered to be generally reliable, but QUANTRON AG cannot guarantee their accuracy and veracity. The opinions presented herein represent those of QUANTRON AG at the present time and are, therefore, subject to amendment and alteration, based on macroeconomic, geopoliti- cal, industrial, and other contextual developments. The publication cannot be reproduced, distributed, or published without prior written consent from QUANTRON AG. First Print: January 2023 Reprint: March 2023 Copyright © QUANTRON AG. Some rights reserved. www.quantron.net EDITORIAL TEAM Lead Author Editor: Dr. Srinath Rengarajan Experts Contributors: Andreas Haller, Michael Perschke, René Wollmann, Reiner Dellori, Florian Fix, Sabrina Kieser, Martin Lischka, Anil Reddi, Ramiz Rexhepi, Utz Rachner, Lucas Schubert, Alexander Stucke, Julia Weber, Jörg Zwilling Design Digital Production: Andreas Peake Carolin Risinger, Koorosh Shojaei, Nadine Otremba, Daniel Stucke, Stephanie Miller For further information, please contact info@quantron.net
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