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White PaperAutomotive

Battery Modeling


When it comes to the research and development of batteries, modeling and simulation (M&S) provide an efficient and low-cost approach. The use of M&S is always combined with experimental investigations, where the first step is to develop and validate the models. Validated physics-based models can be used to make predictions within the range of the theory, which is usually beyond the range used for validation of an individual model.

Throughout the R&D process, researchers and engineers can use models to run though experiments and virtual experiments. These “what if ” studies lead to a deeper understanding of the battery system under investigation — and can even help foster new ideas. The models can be used for predictions, design, optimization, and control of the battery system.

For all battery systems, there needs to be sophisticated methods for early detection of failure and for measuring state of health. Multiphysics M&S offers an unbroken chain of qualitative and quantitative validation of a battery system from its macroscale properties to the heart of the battery at the microscale.

Depending on the stakeholder and the purpose, M&S projects can be carried out with different scopes. This may involve modeling processes at the molecular, microscopic, battery module, and battery stack scales. This white paper takes a closer look at implementing M&S for better battery design and optimization.

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