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)
Reliable Forecasts of Battery Agingin Mobile and Stationary Applicationsthrough System Simulation
Thomas Hofmann, Technical Marketing EngineerITI GmbH
Thomas Bäuml, ScientistAustrian Institute of Technology (AIT)
© 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
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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
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Why do I need professional methods to predict battery aging?
4
Battery Aging is influenced by
Charging Rate TemperatureDepth of
Discharge (DoD)Calendric Aging
Different for each application!
Strongly affected by:
• Boundary conditions• Battery management• System layout
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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 simulationsthrough
measurements on a test rig
Service by
Simulation of battery aging –Where to find the parameters?
6
yearsjust
2 – 4 months!
Forecasts of Battery Aging through System Simulation
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Parameters through measurements at AIT‘s laboratories
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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
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Simulation of battery aging - Examples
SimulationX – Convenientsolution for the simulation ofbatteries 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
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Example:
Costs for aging analysesof 10 cells over 2 years
Test rig (with climatization) Simulation (including licence, model, and battery parameters)
Forecasts of Battery Aging through System Simulation
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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
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www.simulationx.com
www.ait.ac.at
Forecasts of Battery Aging through System Simulation
ITI GmbHSchweriner Straße 101067 Dresden
T + 49 (0) 351.260 50 - [email protected]
Supporting your vision
AIT GmbHGiefinggasse 21210 Vienna | Austria
T +43(0) 50550 - 6578ait.ac.at
Thomas Hofmann (ITI GmbH)[email protected]
Thomas Bäuml (AIT GmbH)[email protected]