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Designing optimal battery thermal management using system simulation
Keeping the xEV battery cells temperature at the right level thanks to system simulation
Battery thermal management design simulation
The battery system is an essential element for the success of electrified vehicles and their broader democratization. Design teams must consider the system as a whole and create an optimal balance between safety, reliability, lifetime, and performance while focusing on thermal management. Increasing power demands and fast charging put batteries under thermal stress, thus requiring maintaining battery cell temperatures within a very restricted range, whatever the environmental or operational conditions. Designing the most appropriate battery thermal management system while keeping costs, time, and competitive edge under control requires new engineering methodologies where simulation plays an important role.
In this webinar, our experts will introduce a multi-physics system simulation approach that can support the design of efficient battery thermal management systems. Learn how to leverage detailed information on the battery temperature for various cell technologies and for different transient scenarios.
Consider the vehicle battery pack at a system level to balance efficiently performance, lifetime and safety objectives
During this 40-minute session, we’ll introduce our solutions to:
- Build a system simulation detailed model of a liquid-cooled battery pack with the support of 3D CFD inputs
- Assess battery cells temperatures during a fast-charge scenario
- Quickly change design parameters to optimize the cooling system, so they meet the temperature requirements
- Combine the battery thermal management model with a vehicle to perform drive cycle scenarios
- Easily build reliable, scalable models from limited available data
About the speakers:
Business Development Manager, Siemens Digital Industries Software
Lionel is Business Development Manager for System simulation activities, focusing on the electrification ground transportation. He has a master's degree in mechanical engineering and is involved in multi-domain system simulation since 1999.
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