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A comprehensive review on thermal management systems for power lithium-ion batteries

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  • Zichen, Wang
  • Changqing, Du

Abstract

Lithium-ion batteries are extensively utilized in electric vehicles for its high energy density. However, safety problems caused by thermal runaway and performance degradation caused by abnormal temperature must be solved. Electric vehicles must adapt to hot and cold environments, which requires the battery pack to keep good performance at both low and high temperatures. A lot of investigations were reported in the last decade on the thermal management techniques of power batteries. To clarify the problems to be solved in the future, the research progress of battery cooling system and preheating system are thoroughly summarized and classified depending on the heat transfer media. Various thermal management technologies are evaluated from multiple perspectives, including production and maintenance costs, system simplification, heating or cooling efficiency, internal temperature gradients, safety, and adaptability. It will be a research trend to design a novel thermal management system incorporating multiple technologies by utilizing the advantages of various cooling and heating methods.

Suggested Citation

  • Zichen, Wang & Changqing, Du, 2021. "A comprehensive review on thermal management systems for power lithium-ion batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    • Handle: RePEc:eee:rensus:v:139:y:2021:i:c:s1364032120309692
    DOI: 10.1016/j.rser.2020.110685
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    Cited by:

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    2. 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).
    3. Li, Junqiu & Xue, Qiao & Gao, Zhuo & Liu, Zengcheng & Xiao, Yansheng, 2024. "Frequency varying heating strategy for lithium-ion battery rapid preheating under subzero temperature considering the limitation of on-board current," Applied Energy, Elsevier, vol. 365(C).
    4. Li, Yang & Wang, Shunli & Chen, Lei & Qi, Chuangshi & Fernandez, Carlos, 2023. "Multiple layer kernel extreme learning machine modeling and eugenics genetic sparrow search algorithm for the state of health estimation of lithium-ion batteries," Energy, Elsevier, vol. 282(C).
    5. Yijin Wang & Changqing Du & Zichen Wang, 2023. "Research on Thermal Management Coupling by CPCM and Liquid Cooling for Vehicle Lithium-Ion Batteries," Energies, MDPI, vol. 16(14), pages 1-12, July.
    6. Ma, Jing & Sun, Yongfei & Zhang, Shiang, 2023. "Experimental investigation on energy consumption of power battery integrated thermal management system," Energy, Elsevier, vol. 270(C).
    7. Luis Fernando Grisales-Noreña & Oscar Danilo Montoya & Alberto-Jesus Perea-Moreno, 2023. "Optimal Integration of Battery Systems in Grid-Connected Networks for Reducing Energy Losses and CO 2 Emissions," Mathematics, MDPI, vol. 11(7), pages 1-23, March.
    8. Wang, Yujie & Zhang, Xingchen & Chen, Zonghai, 2022. "Low temperature preheating techniques for Lithium-ion batteries: Recent advances and future challenges," Applied Energy, Elsevier, vol. 313(C).

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