A Simulation Framework for Battery Cell Impact Safety Modeling Using LS-DYNA [electronic resource].

Published: Washington, D.C. : United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy, 2017.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Physical Description: pages A6,440-A6,448 : digital, PDF file
Additional Creators: United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy and United States. Department of Energy. Office of Scientific and Technical Information

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Summary

The development process of electrified vehicles can benefit significantly from computer-aided engineering tools that predict themultiphysics response of batteries during abusive events. A coupled structural, electrical, electrochemical, and thermal model framework has been developed within the commercially available LS-DYNA software. The finite element model leverages a three-dimensional mesh structure that fully resolves the unit cell components. The mechanical solver predicts the distributed stress and strain response with failure thresholds leading to the onset of an internal short circuit. In this implementation, an arbitrary compressive strain criterion is applied locally to each unit cell. A spatially distributed equivalent circuit model provides an empirical representation of the electrochemical responsewith minimal computational complexity.The thermalmodel provides state information to index the electrical model parameters, while simultaneously accepting irreversible and reversible sources of heat generation. The spatially distributed models of the electrical and thermal dynamics allow for the localization of current density and corresponding temperature response. The ability to predict the distributed thermal response of the cell as its stored energy is completely discharged through the short circuit enables an engineering safety assessment. A parametric analysis of an exemplary model is used to demonstrate the simulation capabilities.

Report Numbers

E 1.99:1425410

Subject(s)

Energy Storage

Note

Published through SciTech Connect.
02/04/2017.
Journal of the Electrochemical Society 164 1 ISSN 0013-4651 AM
James Marcicki; Min Zhu; Alexander Bartlett; Xiao Guang Yang; Yijung Chen; Theodore Miller; Pierre L'Eplattenier; Iñaki Caldichoury.
Ford Motor Company, Dearborn, MI (United States)

Funding Information

EE0007288

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