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Development of Computer Aided Design Tools for Automotive Batteries

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Computer Aided Engineering of Batteries

Part of the book series: Modern Aspects of Electrochemistry ((MAOE,volume 62))

Abstract

To accelerate the development of safe, reliable, high-performance, and long-lasting lithium-ion battery packs, the automotive industry requires computer-aided engineering (CAE) software tools that accurately represent cell and pack multi-physics phenomena occurring across a wide range of scales. In response to this urgent demand, General Motors assembled a CAEBAT Project Team composed of GM researchers and engineers, ANSYS Inc. software developers, and Professor Ralph E. White of the University of South Carolina and his ESim staff. With the guidance of NREL researchers, the team collaborated to develop a flexible modeling framework that supports multi-physics models and provides simulation process automation for robust engineering. Team accomplishments included clear definition of end-user requirements, physical validation of the models, cell aging and degradation models, and a new framework for multi-physics battery cell, module, and pack simulations. Many new capabilities and enhancements have been incorporated into ANSYS commercial software releases under the CAEBAT program.

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Acknowledgments

Original work performed under Subcontract No. ZCI-1-40497-01 under DE-AC36-08GO28308. This work would not have been possible without the support and guidance of many people. The authors wish to thank Brian Cunningham from the Vehicle Technologies Program of the DOE for funding support and guidance. We also wish to thank Gi-Heon Kim and Ahmad Pesaran from NREL for their contributions to the CAEBAT program by providing consultations as a technical monitor of the project. Finally, we express appreciation for the contributions from the following colleagues: Saeed Asgari, Steve Bryan, Jing Cao, Kuo-Huey Chen, Lewis Collins, Erik Ferguson, Amit Hochman, Sameer Kher, Genong Li, Shaoping Li, Justin McDade, Sorin Munteanu, Ramesh Rebba, Victor Sun, Dimitrios Tselepidakis, Michael Tsuk, Jasmine Wang, and Erik Yen.

Publications and Presentations

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    Taeyoung Han, Gi-Heon Kim, Lewis Collins, “Multiphysics simulation tools power the modeling of thermal management in advanced lithium-ion battery systems,” ANSYS Quarterly magazine “Advantage”, 2012.

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    Taeyoung Han, Gi-Heon Kim, Lewis Collins, “Development of Computer-Aided Design Tools for Automotive Batteries-CAEBAT,” Automotive Simulation World Congress (ASWC), Detroit, October 2012.

  3. 3.

    Xiao Hu, Scott Stanton, Long Cai, Ralph E. White, “A linear time-invariant model for solid-phase diffusion in physics-based lithium ion cell models.,” Journal of Power Sources 214 (2012) 40–50.

  4. 4.

    Xiao Hu, Scott Stanton, Long Cai, Ralph E. White, “Model order reduction for solid-phase diffusion in physics-based lithium ion cell models,” Journal of Power Sources 218 (2012) 212–220.

  5. 5.

    Meng Guo, Ralph E. White, “A distributed thermal model for a Li-ion electrode plate pair,” Journal of Power Sources 221 (2013) 334–344.

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    Ralph E White, Meng Guo, Gi-Heon Kim, “A three-dimensional multi-physics model for a Li-ion battery”, Journal of Power Sources, 2013.

  7. 7.

    Saeed Asgari, Xiao Hu, Michael Tsuk, Shailendra Kaushik, “Application of POD plus LTI ROM to Battery Thermal Modeling: SISO Case, to be presented in 2014 SAE World Congress.

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    Xiao Hu, Scott Stanton, Long Cai, Ralph E. White, “A linear time-invariant model for solid-phase diffusion in physics-based lithium-ion cell models.,” Journal of Power Sources 214 (2012) 40–50.

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    M. Guo and R. E. White, “Mathematical Model for a Spirally-Wound Lithium-Ion Cell,” Journal of Power Sources 250 (2014), also presented at the ECS meeting, spring 2014, Orlando, FL.

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    R. Rebba, J. McDade, S. Kaushik, J. Wang, T. Han, “Verification and Validation of Semi-Empirical Thermal Models for Lithium Ion Batteries,” 2014 SAE World Congress, Detroit, MI.

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    Y. Dai, L. Cai, and R. E. White, “Simulation and Analysis of Inhomogeneous Degradation in Large Format LiMn2O4/Carbon Cells,” Journal of The Electrochemical Society, 161 (8), 2014.

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    T. Han, G. Kim, R. White, D. Tselepidakis, “Development of Computer Aided Design Tools for Automotive Batteries,” ANSYS Convergence conference, Detroit, MI, June 5, 2014.

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    T. Han, M. Fortier, L. Collins, “Accelerating Electric-Vehicle Battery Development with Advanced Simulation,” Aug 21, 2014, Webcast seminar organized by SAE International, http://www.sae.org/magazines/webcasts .

Author information

Authors and Affiliations

  1. General Motors, LLC, Detroit, MI, USA

    Taeyoung Han & Shailendra Kaushik

Authors
  1. Taeyoung Han
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  2. Shailendra Kaushik
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Corresponding author

Correspondence to Shailendra Kaushik .

Editor information

Editors and Affiliations

  1. National Renewable Energy Laboratory, Golden, CO, USA

    Shriram Santhanagopalan

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Han, T., Kaushik, S. (2023). Development of Computer Aided Design Tools for Automotive Batteries. In: Santhanagopalan, S. (eds) Computer Aided Engineering of Batteries. Modern Aspects of Electrochemistry, vol 62. Springer, Cham. https://doi.org/10.1007/978-3-031-17607-4_4

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  • DOI: https://doi.org/10.1007/978-3-031-17607-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-17606-7

  • Online ISBN: 978-3-031-17607-4

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