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Expansion force signal based rapid detection of early thermal runaway for pouch batteries

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  • Jin, Chengwei
  • Xu, Jun
  • Jia, Zhenyu
  • Xie, Yanmin
  • Zhang, Xianggong
  • Mei, Xuesong

Abstract

With the extensive application of lithium-ion batteries in electric vehicles and energy storage stations, thermal safety issues have increasingly become the focus of public attention. To alleviate the safety concerns, a qualified battery management system (BMS) must be able to detect and warn of thermal abuse before it develops into a thermal runaway (TR). For the first time, the expansion force characteristics of the pouch battery module during the early heating stage of TR under typical working conditions are analyzed, which proves that the expansion force signal can reflect the internal abnormal heating earlier than the terminal voltage and the surface temperature, and has better noise resistance. Furthermore, the electromechanical coupling model (EmCM) is improved for more accurate open-loop expansion force estimation. On this basis, an expansion force based early TR rapid detection framework is proposed with less 3 min expend in tests, in which the Kalman filter ensures the stability and convergence/divergence of the observer estimation error, and the reliability of fault judgment is ensured by the adaptive threshold designed by the model structure.

Suggested Citation

  • Jin, Chengwei & Xu, Jun & Jia, Zhenyu & Xie, Yanmin & Zhang, Xianggong & Mei, Xuesong, 2024. "Expansion force signal based rapid detection of early thermal runaway for pouch batteries," Energy, Elsevier, vol. 312(C).
    • Handle: RePEc:eee:energy:v:312:y:2024:i:c:s0360544224034637
    DOI: 10.1016/j.energy.2024.133685
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    References listed on IDEAS

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    1. Xu, Jun & Wang, Haitao & Shi, Hu & Mei, Xuesong, 2020. "Multi-scale short circuit resistance estimation method for series connected battery strings," Energy, Elsevier, vol. 202(C).
    2. Huang, Zonghou & Yu, Yin & Duan, Qiangling & Qin, Peng & Sun, Jinhua & Wang, Qingsong, 2022. "Heating position effect on internal thermal runaway propagation in large-format lithium iron phosphate battery," Applied Energy, Elsevier, vol. 325(C).
    3. Wenxin Mei & Zhi Liu & Chengdong Wang & Chuang Wu & Yubin Liu & Pengjie Liu & Xudong Xia & Xiaobin Xue & Xile Han & Jinhua Sun & Gaozhi Xiao & Hwa-yaw Tam & Jacques Albert & Qingsong Wang & Tuan Guo, 2023. "Operando monitoring of thermal runaway in commercial lithium-ion cells via advanced lab-on-fiber technologies," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    4. Jiang, Yihui & Xu, Jun & Liu, Mengmeng & Mei, Xuesong, 2022. "An electromechanical coupling model-based state of charge estimation method for lithium-ion pouch battery modules," Energy, Elsevier, vol. 259(C).
    5. Chen, Zeyu & Zhang, Bo & Xiong, Rui & Shen, Weixiang & Yu, Quanqing, 2021. "Electro-thermal coupling model of lithium-ion batteries under external short circuit," Applied Energy, Elsevier, vol. 293(C).
    6. Zhang, Yue & Cheng, Siyuan & Mei, Wenxin & Jiang, Lihua & Jia, Zhuangzhuang & Cheng, Zhixiang & Sun, Jinhua & Wang, Qingsong, 2023. "Understanding of thermal runaway mechanism of LiFePO4 battery in-depth by three-level analysis," Applied Energy, Elsevier, vol. 336(C).
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