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Investigation on overcharge-caused thermal runaway of lithium-ion batteries in real-world electric vehicles

Author

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  • Hong, Jichao
  • Wang, Zhenpo
  • Qu, Changhui
  • Zhou, Yangjie
  • Shan, Tongxin
  • Zhang, Jinghan
  • Hou, Yankai

Abstract

Overcharge is one of the most typical triggers leading to battery thermal runaway during real-worldvehicular operation. An in-depth exploration of the real-scenario-oriented failure mechanism of batteryovercharge is critical to safeguard the safe and durable operation of electric vehicles. With environmentalchanges and drivers’ random behaviors under real occasions considered, this paper demonstrates the multi-factor overcharge-to-thermal-runaway modelling theory based on electro-chemical thermal coupling analysis. A case study of a real-world electric vehicle that experienced an overcharge-causedthermal runaway accident is presented, and the pre-accident battery overcharge characteristics are dissected referring to the accident investigation reports. Furthermore, the multi-stage pre-accidentcharacterization is performed by dividing overcharge into three feature stages, such as charge, fully-charged instant, and overcharge. Various characterization parameters directly measurable and indirectly calculated are extracted, then a variable evaluation of the state of health degradation underovercharge is implemented. Moreover, a rudimentary probability model of overcharge-caused thermalrunaway is proposed combining all potential motivating factors, including environments and drivers’behaviors. This is the first of this kind to apply the actual accident case on overcharge-causedthermal runaway research, which can guide the battery overcharge protection to safeguard drivers andpassengers.

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  • Hong, Jichao & Wang, Zhenpo & Qu, Changhui & Zhou, Yangjie & Shan, Tongxin & Zhang, Jinghan & Hou, Yankai, 2022. "Investigation on overcharge-caused thermal runaway of lithium-ion batteries in real-world electric vehicles," Applied Energy, Elsevier, vol. 321(C).
    • Handle: RePEc:eee:appene:v:321:y:2022:i:c:s0306261922005931
    DOI: 10.1016/j.apenergy.2022.119229
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    as
    1. Feng, Xuning & He, Xiangming & Ouyang, Minggao & Lu, Languang & Wu, Peng & Kulp, Christian & Prasser, Stefan, 2015. "Thermal runaway propagation model for designing a safer battery pack with 25Ah LiNixCoyMnzO2 large format lithium ion battery," Applied Energy, Elsevier, vol. 154(C), pages 74-91.
    2. Hong, Jichao & Wang, Zhenpo & Yao, Yongtao, 2019. "Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    3. Wenwei, Wang & Yiding, Li & Cheng, Lin & Yuefeng, Su & Sheng, Yang, 2019. "State of charge-dependent failure prediction model for cylindrical lithium-ion batteries under mechanical abuse," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    4. Ren, Dongsheng & Feng, Xuning & Lu, Languang & He, Xiangming & Ouyang, Minggao, 2019. "Overcharge behaviors and failure mechanism of lithium-ion batteries under different test conditions," Applied Energy, Elsevier, vol. 250(C), pages 323-332.
    5. Tang, Xiaopeng & Zou, Changfu & Yao, Ke & Lu, Jingyi & Xia, Yongxiao & Gao, Furong, 2019. "Aging trajectory prediction for lithium-ion batteries via model migration and Bayesian Monte Carlo method," Applied Energy, Elsevier, vol. 254(C).
    6. Zhu, Xiaoqing & Wang, Zhenpo & Wang, Yituo & Wang, Hsin & Wang, Cong & Tong, Lei & Yi, Mi, 2019. "Overcharge investigation of large format lithium-ion pouch cells with Li(Ni0.6Co0.2Mn0.2)O2 cathode for electric vehicles: Thermal runaway features and safety management method," Energy, Elsevier, vol. 169(C), pages 868-880.
    7. Li, Yanwen & Wang, Chao & Gong, Jinfeng, 2017. "A multi-model probability SOC fusion estimation approach using an improved adaptive unscented Kalman filter technique," Energy, Elsevier, vol. 141(C), pages 1402-1415.
    8. Feng, Xuning & Zheng, Siqi & Ren, Dongsheng & He, Xiangming & Wang, Li & Cui, Hao & Liu, Xiang & Jin, Changyong & Zhang, Fangshu & Xu, Chengshan & Hsu, Hungjen & Gao, Shang & Chen, Tianyu & Li, Yalun , 2019. "Investigating the thermal runaway mechanisms of lithium-ion batteries based on thermal analysis database," Applied Energy, Elsevier, vol. 246(C), pages 53-64.
    9. Situ, Wenfu & Zhang, Guoqing & Li, Xinxi & Yang, Xiaoqing & Wei, Chao & Rao, Mumin & Wang, Ziyuan & Wang, Cong & Wu, Weixiong, 2017. "A thermal management system for rectangular LiFePO4 battery module using novel double copper mesh-enhanced phase change material plates," Energy, Elsevier, vol. 141(C), pages 613-623.
    10. Wang, Zhenpo & Hong, Jichao & Liu, Peng & Zhang, Lei, 2017. "Voltage fault diagnosis and prognosis of battery systems based on entropy and Z-score for electric vehicles," Applied Energy, Elsevier, vol. 196(C), pages 289-302.
    11. Ye, Jiana & Chen, Haodong & Wang, Qingsong & Huang, Peifeng & Sun, Jinhua & Lo, Siuming, 2016. "Thermal behavior and failure mechanism of lithium ion cells during overcharge under adiabatic conditions," Applied Energy, Elsevier, vol. 182(C), pages 464-474.
    12. Zhang, Liwen & Zhao, Peng & Xu, Meng & Wang, Xia, 2020. "Computational identification of the safety regime of Li-ion battery thermal runaway," Applied Energy, Elsevier, vol. 261(C).
    13. Rodrigues, João L. & Bolognesi, Hugo M. & Melo, Joel D. & Heymann, Fabian & Soares, F.J., 2019. "Spatiotemporal model for estimating electric vehicles adopters," Energy, Elsevier, vol. 183(C), pages 788-802.
    14. Hong, Jichao & Wang, Zhenpo & Chen, Wen & Yao, Yongtao, 2019. "Synchronous multi-parameter prediction of battery systems on electric vehicles using long short-term memory networks," Applied Energy, Elsevier, vol. 254(C).
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