Back up your investment plans and make the right decision when it comes to battery storage: Analyze all factors that influence battery aging and optimize the battery management system as well as cooling devices. System simulation with detailed simulation of the battery’s aging behavior delivers reliable information in no time about the performance that can be expected over the years. Have a look at the presentation to learn more about • factors influencing battery aging, • different methods to obtain data on aging behavior, • comprehensive information on battery aging through system simulation and • valid methods to get all necessary parameters. Do you want to learn more about improving your products and how to reduce risks while saving money with comprehensive simulations of energy storage systems? Then head over to www.simulationx.com/industries/applications/energy-storages.html

1. Reliable Forecasts of Battery Aging
in Mobile and Stationary Applications
through System Simulation
Thomas Hofmann, Technical Marketing Engineer
ITI GmbH
Thomas Bäuml, Scientist
Austrian Institute of Technology (AIT)

2. © ITI GmbH simulationx.com
Content
• Why are reliable forecasts of battery aging a real asset?
• Why do I need professional methods to predict battery aging?
• How to get information about aging behavior?
• What are the benefits of predicting battery aging through simulation?
• Where to find the necessary parameters for battery simulations?
• Who can help me?
2 Forecasts of Battery Aging through System Simulation

3. © ITI GmbH simulationx.com
Why are reliable forecasts of battery aging a real asset?
3
Basis for investment decisions:
• Does the battery have the desired lifetime?
• What is the best solution to reduce costs per kWh?
Ensure product performance:
• How does the battery behave under different conditions?
• How does the performance change over time?
Forecasts of Battery Aging through System Simulation

4. © ITI GmbH simulationx.com
Why do I need professional methods to predict battery aging?
4
Battery Aging is influenced by
Charging Rate Temperature
Depth of
Discharge (DoD)
Calendric Aging
 Different for each application!
 Strongly affected by:
• Boundary conditions
• Battery management
• System layout
Forecasts of Battery Aging through System Simulation

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How to get information about aging behavior?
Measurements on
Object
Measurements on a
Test Rig
Simulation
Reproducible results!
Medium effort: time/costs!
Which input data?
(standardized test cycles)

Reproducible results!
Minimal effort: time/costs!
Large number of variants!
How to get the parameters?
Results reproducible?
Great effort: time/costs!
Prototype needed!
Accessibility?

Forecasts of Battery Aging through System Simulation

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Parameters for simulations
through
measurements on a test rig
Service by
Simulation of battery aging –
Where to find the parameters?
6
years
just
2 – 4
months!
Forecasts of Battery Aging through System Simulation

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Parameters through measurements at AIT‘s laboratories
7
Calendric aging
(storage)
Cyclic aging
(load cycles)
Different
temperatures
Forecasts of Battery Aging through System Simulation

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• Get reliable results in a short time! (about 4 month in total)
• Reduce costs!
• Compare a vast number of variants!
• Easy optimization of concepts and parameters, e. g.:
• System layout
• Battery Management System (BMS) / controls
• Heat transfer (cooling/climatization)
Simulation of battery aging – Benefits
8 Forecasts of Battery Aging through System Simulation

9. © ITI GmbH simulationx.com
Simulation of battery aging - Examples
SimulationX – Convenient
solution for the simulation of
batteries in:
• Vehicles
• Buildings
• Battery storage power
stations
• …
Forecasts of Battery Aging through System Simulation9

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Example: Battery cooling
10 Forecasts of Battery Aging through System Simulation

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Example: Battery aging in a vehicle-to-grid scenario
11 Forecasts of Battery Aging through System Simulation

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Simulation of battery aging – Costs
12
Example:
Costs for aging analyses
of 10 cells over 2 years
Test rig (with climatization) Simulation (including licence, model,
and battery parameters)
Forecasts of Battery Aging through System Simulation

13. © ITI GmbH simulationx.com
A one-stop-shop solution
• Proven platform for system simulation
• Dedicated model library for battery
simulation
• Specification of battery parameters in the
laboratory
• Engineering services and training
13
www.simulationx.com
www.ait.ac.at
Forecasts of Battery Aging through System Simulation

14. ITI GmbH
Schweriner Straße 1
01067 Dresden
T + 49 (0) 351.260 50 - 0
info@itisim.com
simulationx.com
Supporting your vision
AIT GmbH
Giefinggasse 2
1210 Vienna | Austria
T +43(0) 50550 - 6578
ait.ac.at
Thomas Hofmann (ITI GmbH)
Thomas.Hofmann@itisim.com
Thomas Bäuml (AIT GmbH)
Thomas.Baeuml@ait.ac.at