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Modeling thermal runaway of lithium-ion batteries with a venting process

Author

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  • He, C.X.
  • Yue, Q.L.
  • Chen, Q.
  • Zhao, T.S.

Abstract

Thermal runaway poses a critical challenge for the safety of electric vehicles powered by lithium-ion batteries. A series of drastic exothermic reactions take place with gas generation during thermal runaway, making it challenging to accurately model the process. In this work, we present a reliable lumped thermal runaway model by incorporating heat transfer and gas generation reactions based on an experimentally kinetic analysis. The proportions of reactants in 18,650 lithium-ion batteries are determined by disassembling the batteries and weighing the components, while the reaction frequencies and activation energies of gas generation reactions are identified through the thermal gravity analysis tests on the anode and cathode components using Kissinger’s method. The reaction kinetic equations are then combined with energy and mass conservation equations to form the thermal runaway model, which is validated against accelerating rate calorimeter tests. Simulation results show that it is the pressure rather than temperature that triggers the ejection. Therefore, gas generation that can depict the internal gas change should be included in the model to accurately predict the time of the battery venting. Moreover, it is revealed that when the safety pressure increases from 1600 to 2400 kPa, although the venting moment delays from 4294 to 4465 s, the thermal runaway takes place 54 s earlier. Hence, an appropriate safety pressure design range is suggested to be 1800–2200 kPa. This work develops a robust thermal runaway model and offers new insights into the mechanisms of thermal runaway, which provides valuable guidance for the thermal safety design of lithium-ion batteries.

Suggested Citation

  • He, C.X. & Yue, Q.L. & Chen, Q. & Zhao, T.S., 2022. "Modeling thermal runaway of lithium-ion batteries with a venting process," Applied Energy, Elsevier, vol. 327(C).
  • Handle: RePEc:eee:appene:v:327:y:2022:i:c:s0306261922013678
    DOI: 10.1016/j.apenergy.2022.120110
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    References listed on IDEAS

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    1. Feng, Xuning & Lu, Languang & Ouyang, Minggao & Li, Jiangqiu & He, Xiangming, 2016. "A 3D thermal runaway propagation model for a large format lithium ion battery module," Energy, Elsevier, vol. 115(P1), pages 194-208.
    2. Ostanek, Jason K. & Li, Weisi & Mukherjee, Partha P. & Crompton, K.R. & Hacker, Christopher, 2020. "Simulating onset and evolution of thermal runaway in Li-ion cells using a coupled thermal and venting model," Applied Energy, Elsevier, vol. 268(C).
    3. Ren, Dongsheng & Liu, Xiang & Feng, Xuning & Lu, Languang & Ouyang, Minggao & Li, Jianqiu & He, Xiangming, 2018. "Model-based thermal runaway prediction of lithium-ion batteries from kinetics analysis of cell components," Applied Energy, Elsevier, vol. 228(C), pages 633-644.
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    Cited by:

    1. Xu, Chengshan & Wang, Huaibin & Jiang, Fachao & Feng, Xuning & Lu, Languang & Jin, Changyong & Zhang, Fangshu & Huang, Wensheng & Zhang, Mengqi & Ouyang, Minggao, 2023. "Modelling of thermal runaway propagation in lithium-ion battery pack using reduced-order model," Energy, Elsevier, vol. 268(C).
    2. Wang, Gongquan & Kong, Depeng & Ping, Ping & He, Xiaoqin & Lv, Hongpeng & Zhao, Hengle & Hong, Wanru, 2023. "Modeling venting behavior of lithium-ion batteries during thermal runaway propagation by coupling CFD and thermal resistance network," Applied Energy, Elsevier, vol. 334(C).

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