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A comprehensive numerical study on electrochemical-thermal models of a cylindrical lithium-ion battery during discharge process

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  • He, Tengfei
  • Zhang, Teng
  • Wang, Zhirong
  • Cai, Qiong

Abstract

Modelling the electrochemical and thermal behaviours of cylindrical lithium-ion batteries (LIBs) is complicated by their multi-unit jellyroll structure. To evaluate the accuracy of cylindrical LIB models, eight electrochemical-thermal models (ECT) with different levels of fidelity and dimensionality (from one-dimensional (1D) to three-dimensional (3D) electrochemical and thermal models) are established for a Li[Ni8Co1Mn1]O2/graphite 18,650 type cylindrical LIB. The effect of different levels of model simplification on the predicted LIB thermal and electrochemical characteristics are compared under different discharge and cooling rates. Non-uniformity indexes are also introduced to compare the differences between the eight models for predicting electrochemical reactions and heat generation non-uniformity. The accuracy and computation time of different models are compared, and the applicable scope of different models is discussed comprehensively. Furthermore, the non-uniformity mechanism inside the battery are also analysed. The present work can be used to help other researchers select appropriate electrochemical thermal models under different applicable conditions and study the battery thermal management system.

Suggested Citation

  • He, Tengfei & Zhang, Teng & Wang, Zhirong & Cai, Qiong, 2022. "A comprehensive numerical study on electrochemical-thermal models of a cylindrical lithium-ion battery during discharge process," Applied Energy, Elsevier, vol. 313(C).
  • Handle: RePEc:eee:appene:v:313:y:2022:i:c:s0306261922002446
    DOI: 10.1016/j.apenergy.2022.118797
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    References listed on IDEAS

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    1. Li, Weihan & Cao, Decheng & Jöst, Dominik & Ringbeck, Florian & Kuipers, Matthias & Frie, Fabian & Sauer, Dirk Uwe, 2020. "Parameter sensitivity analysis of electrochemical model-based battery management systems for lithium-ion batteries," Applied Energy, Elsevier, vol. 269(C).
    2. Xiong, Ruoyu & Zhang, Tengfang & Huang, Tianlun & Li, Maoyuan & Zhang, Yun & Zhou, Huamin, 2020. "Improvement of electrochemical homogeneity for lithium-ion batteries enabled by a conjoined-electrode structure," Applied Energy, Elsevier, vol. 270(C).
    3. Xu, Meng & Zhang, Zhuqian & Wang, Xia & Jia, Li & Yang, Lixin, 2015. "A pseudo three-dimensional electrochemical–thermal model of a prismatic LiFePO4 battery during discharge process," Energy, Elsevier, vol. 80(C), pages 303-317.
    4. Li, Junqiu & Sun, Danni & Jin, Xin & Shi, Wentong & Sun, Chao, 2019. "Lithium-ion battery overcharging thermal characteristics analysis and an impedance-based electro-thermal coupled model simulation," Applied Energy, Elsevier, vol. 254(C).
    5. Basu, Suman & Hariharan, Krishnan S. & Kolake, Subramanya Mayya & Song, Taewon & Sohn, Dong Kee & Yeo, Taejung, 2016. "Coupled electrochemical thermal modelling of a novel Li-ion battery pack thermal management system," Applied Energy, Elsevier, vol. 181(C), pages 1-13.
    6. Ouyang, Minggao & Feng, Xuning & Han, Xuebing & Lu, Languang & Li, Zhe & He, Xiangming, 2016. "A dynamic capacity degradation model and its applications considering varying load for a large format Li-ion battery," Applied Energy, Elsevier, vol. 165(C), pages 48-59.
    7. Ping, Ping & Wang, Qingsong & Chung, Youngmann & Wen, Jennifer, 2017. "Modelling electro-thermal response of lithium-ion batteries from normal to abuse conditions," Applied Energy, Elsevier, vol. 205(C), pages 1327-1344.
    8. Zhao, Rui & Liu, Jie & Gu, Junjie, 2015. "The effects of electrode thickness on the electrochemical and thermal characteristics of lithium ion battery," Applied Energy, Elsevier, vol. 139(C), pages 220-229.
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    Cited by:

    1. Li, Li & Ling, Lei & Xie, Yajun & Zhou, Wencai & Wang, Tianbo & Zhang, Lanchun & Bei, Shaoyi & Zheng, Keqing & Xu, Qiang, 2023. "Comparative study of thermal management systems with different cooling structures for cylindrical battery modules: Side-cooling vs. terminal-cooling," Energy, Elsevier, vol. 274(C).
    2. Huang, Zhiliang & Wang, Huaixing & Yang, Tongguang & Chen, Zeye & Li, Hangyang & Chen, Jie & Wu, Shengben, 2023. "An efficient multi-state evaluation approach for lithium-ion pouch cells under dynamic conditions in pressure/current/temperature," Applied Energy, Elsevier, vol. 340(C).
    3. Mao, Ning & Zhang, Teng & Wang, Zhirong & Gadkari, Siddharth & Wang, Junling & He, Tengfei & Gao, Tianfeng & Cai, Qiong, 2023. "Revealing the thermal stability and component heat contribution ratio of overcharged lithium-ion batteries during thermal runaway," Energy, Elsevier, vol. 263(PD).

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