Safety Performance and Failure Criteria of Lithium-Ion Batteries under Mechanical Abuse

Genwei Wang (), Xuanfu Guo, Jingyi Chen, Pengfei Han, Qiliang Su, Meiqing Guo, Bin Wang () and Hui Song
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Genwei Wang: College of Aeronautics and Astronautics, Taiyuan University of Technology, Jinzhong 030600, China
Xuanfu Guo: College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Jingyi Chen: College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Pengfei Han: College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Qiliang Su: College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Meiqing Guo: Shanxi Key Laboratory of Material Strength and Structure Impact, Taiyuan 030024, China
Bin Wang: Department of Mechanical and Aerospace Engineering, Brunel University London, London UB8 3PH, UK
Hui Song: Shanxi Key Laboratory of Material Strength and Structure Impact, Taiyuan 030024, China

Energies, 2023, vol. 16, issue 17, 1-25

Abstract: With the increasing global focus on environmental issues, controlling carbon dioxide emissions has become an important global agenda. In this context, the development of new energy vehicles, such as electric vehicles, is flourishing. However, as a crucial power source for electric vehicles, the safety performance of lithium-ion batteries under mechanical abuse has drawn widespread attention. Evaluating the safety performance of lithium-ion batteries requires in-depth research. This paper provides a review of recent experimental and numerical simulation studies on the mechanical abuse of lithium-ion batteries. It showcases the main methods and conclusions of experimental research, compares different response forms under quasi-static and dynamic loading, discusses the causes of strain-rate dependence in lithium-ion batteries, and briefly describes the impact of the state of charge (SOC) on safety performance under mechanical abuse, as well as the influence of mechanical abuse on battery capacity and impedance characteristics. Furthermore, this paper summarizes the methods of numerical simulation research, analyzes the advantages and disadvantages of detailed modeling and homogenized modeling methods, summarizes the strain-based internal short circuit failure criteria, and reviews numerical predictive models based on multiphysics coupling. Finally, it presents the latest progress in studying the safety performance of battery packs through numerical simulations.

Keywords: lithium-ion batteries; mechanical abuse; safety performance; failure criteria; model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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