Analyses of performance, temperature and lifespan for rechargeable batteries Performance requirements for accumulators are increasing not only in the automotive industry. Also storing surplus energy from renewable sources and the motivation to increase energy efficiency in general require cutting-edge electrical storage technologies. Suitability of a battery for a certain application is often a question of its lifespan and range. The library Electrical Energy Storages is intended for the development and selection of appropriate storage configurations, for temperature analyses and predictions on battery aging – embedded in realistic load scenarios as part of system simulation. Be it static models for quick computations with minimal parameterization efforts or dynamic models for most realistic behavioral simulations: With the battery library validated through measurements, you can make realistic predictions about the performance of your system.

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SimulationX model library:
Electric Energy Storages
1

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Fields of Application
• Simulating the multi-physical operating behavior of a battery
• Main use cases:
• Quick / advancedelectric
simulation
• Thermalanalysis
• Function development
• Aging prediction
• Models with
scalable complexity
2 Model library Electric Energy Storages

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Modeling Concept
• Electric model (V)
• Thermal model (T)
• Parameter adaption model (P)
• Modular structure:
• Easyto extend
• Possibilityto add new features
• Separate development
and testing of each model
3 Model library Electric Energy Storages

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Electric Model
• Single-cell models (example:dynamic cell model)
• Stack models
• Static models:
• Simplified electric equivalent circuit
• Short simulation time
• Minimum number of
input parameters required
• Dynamicmodels:
• Sophisticated
electric equivalent circuit
• Realistic operational behavior
• Advanced parameterization
4 Model library Electric Energy Storages

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Thermal Model
• Thermaloperating behavior
• Examples for influences:
• Environmental temperature
• Electric losses
• Thermal capacity
• Cooling circuit
• ....
• Scalable thermalmodels
included:
• Prismatic cell
• Cylindrical cell
5 Model library Electric Energy Storages

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Parameter Adaption Model
• Calculates Cp, Ocv, Rs, RC-values
• Configures electric model
• Independent variables: Soc, T
• Parameterization:
• Polynomialfunctions:
Cp, Rs, RC-values
• Tables:
Cp, Rs, RC-values,Ocv
6 Model library Electric Energy Storages

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Aging Model
• The capacityand the behavior of a cell change with age
and cycle number. These effects are influenced by the
most importantfactorstemperature and SOC.
• Calendrical aging (aging over time)
• Extended Arrhenius equation:
• Cyclic aging (aging factor over
number of cycles):
• Polynomial functions
• Tables
7 Model library Electric Energy Storages

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Examples
• Advanced battery stack model
without aging connected to electric
load
• Generic parameter sets for LFP and
NMC cells are included
• Modify the parameters (only if
required), using the chosen set as a
basis
8 Model library Electric Energy Storages

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Model Combination
• Combination of models from the Hybrid Powertrains library & the
Electric Energy Storages library
(MSL based)
• Electrical analog interface
to connect the battery
model with the
hybrid model
9 Model library Electric Energy Storages

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Benefits
• Simulation of electric, thermal and aging behavior within one
library
• Modular structure for a broad field of applications and different
levels of detail
• Validated models and parameter sets for reliable simulation
results
• Easy adjustment to customer specific needs (e.g. model
adaptations and parameter generation by AIT)
10 Model library Electric Energy Storages

11. © ITI GmbH simulationx.com11 Model library Electrical Energy Storages
Try out Electric Energy Storages
library in SimulationX at
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