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Structural design of a composite board/heat pipe based on the coupled electro-chemical-thermal model in battery thermal management system

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  • Jin, Xianrong
  • Duan, Xiting
  • Jiang, Wenjuan
  • Wang, Yan
  • Zou, Youlan
  • Lei, Weixin
  • Sun, Lizhong
  • Ma, Zengsheng

Abstract

Based on the electrochemical-thermal coupled model, we build a coupled three-dimensional battery thermal management system (BTMS) which combines the composite board and the heat pipes. This model is applied to assess the heat performances of different structural BTMS with boards and pipes. The results show that the system with the heat pipes and composite board is more effective in improving heat performances than that with a single composite board. Furthermore, the BTMS with a combination of vertical and horizontal pipes achieves a higher comprehensive cooling efficiency than that with the single pipes. The optimal arrays exhibit a significant improvement of the comprehensive performances of the traditional composite board thermal management system, where Tmax and ΔT reach 296.85 K and 3.29 K after a full charging/discharging cycle under a 3C rate, respectively. Besides, the contact area between the battery and pack shell plays a vital role in the cooling performances. At the same time, the improved BTMS based on horizontal pipes achieves the highest cooling efficiency, with Tmax = 294.37 K and ΔT = 1.08 K.

Suggested Citation

  • Jin, Xianrong & Duan, Xiting & Jiang, Wenjuan & Wang, Yan & Zou, Youlan & Lei, Weixin & Sun, Lizhong & Ma, Zengsheng, 2021. "Structural design of a composite board/heat pipe based on the coupled electro-chemical-thermal model in battery thermal management system," Energy, Elsevier, vol. 216(C).
    • Handle: RePEc:eee:energy:v:216:y:2021:i:c:s0360544220323410
    DOI: 10.1016/j.energy.2020.119234
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    References listed on IDEAS

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    Cited by:

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    3. Junhao Dong & Xipo Lu & Yang Sun & Vladislav Mitin & Huaping Xu & Wei Kong, 2022. "Design of Battery Thermal Management System with Considering the Longitudinal and Transverse Temperature Difference," Energies, MDPI, vol. 15(19), pages 1-13, October.
    4. Cao, Mengda & Zhang, Tao & Liu, Yajie & Zhang, Yajun & Wang, Yu & Li, Kaiwen, 2022. "An ensemble learning prognostic method for capacity estimation of lithium-ion batteries based on the V-IOWGA operator," Energy, Elsevier, vol. 257(C).
    5. Xingxing Wang & Shengren Liu & Yujie Zhang & Shuaishuai Lv & Hongjun Ni & Yelin Deng & Yinnan Yuan, 2022. "A Review of the Power Battery Thermal Management System with Different Cooling, Heating and Coupling System," Energies, MDPI, vol. 15(6), pages 1-29, March.
    6. Kiran Vaddi & Olga Wodo, 2022. "Active Knowledge Extraction from Cyclic Voltammetry," Energies, MDPI, vol. 15(13), pages 1-13, June.
    7. Guo, Chao & Liu, Huan-ling & Guo, Qi & Shao, Xiao-dong & Zhu, Ming-liang, 2022. "Investigations on a novel cold plate achieved by topology optimization for lithium-ion batteries," Energy, Elsevier, vol. 261(PA).
    8. Jiabin Duan & Jiapei Zhao & Xinke Li & Satyam Panchal & Jinliang Yuan & Roydon Fraser & Michael Fowler, 2021. "Modeling and Analysis of Heat Dissipation for Liquid Cooling Lithium-Ion Batteries," Energies, MDPI, vol. 14(14), pages 1-19, July.
    9. Yang, Huizhu & Li, Mingxuan & Wang, Zehui & Ma, Binjian, 2023. "A compact and lightweight hybrid liquid cooling system coupling with Z-type cold plates and PCM composite for battery thermal management," Energy, Elsevier, vol. 263(PE).

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