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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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    Cited by:

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    3. Kaixuan Li & Chen Sun & Mingjie Zhang & Shuping Wang & Bin Wei & Yifeng Cheng & Xing Ju & Chao Xu, 2024. "A Study of the Thermal Management and Discharge Strategies of Lithium-Ion Batteries in a Wide Temperature Range," Energies, MDPI, vol. 17(10), pages 1-25, May.
    4. 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).
    5. Meilin Gong & Jiatao Chen & Jianming Chen & Xiaohuan Zhao, 2024. "Study on Discharge Characteristic Performance of New Energy Electric Vehicle Batteries in Teaching Experiments of Safety Simulation under Different Operating Conditions," Energies, MDPI, vol. 17(12), pages 1-14, June.
    6. Li, Yong & Wang, Liye & Feng, Yanbiao & Liao, Chenglin & Yang, Jue, 2024. "An online state-of-health estimation method for lithium-ion battery based on linear parameter-varying modeling framework," Energy, Elsevier, vol. 298(C).
    7. 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).
    8. Xie, Yanmin & Xu, Jun & Jin, Chengwei & Jia, Zhenyu & Mei, Xuesong, 2024. "A novel reduced-order electrochemical model of lithium-ion batteries with both high fidelity and real-time applicability," Energy, Elsevier, vol. 306(C).
    9. Liu, Jin & Chen, Chunguang & Wen, Jici & Chang, Zhenghua & Notten, Peter H.L. & Wei, Yujie, 2024. "Size effect on the thermal and mechanical performance of cylindrical lithium-ion batteries," Applied Energy, Elsevier, vol. 375(C).

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