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Modeling and Analysis of Heat Dissipation for Liquid Cooling Lithium-Ion Batteries

Author

Listed:
  • Jiabin Duan

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China)

  • Jiapei Zhao

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China)

  • Xinke Li

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China)

  • Satyam Panchal

    (Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada)

  • Jinliang Yuan

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China)

  • Roydon Fraser

    (Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada)

  • Michael Fowler

    (Department of Chemical Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada)

Abstract

To ensure optimum working conditions for lithium-ion batteries, a numerical study is carried out for three-dimensional temperature distribution of a battery liquid cooling system in this work. The effect of channel size and inlet boundary conditions are evaluated on the temperature field of the battery modules. Based on the thermal behavior of discharging battery obtained experimental measurements, two temperature control strategies are proposed and studied. The results show that the channel width of the cooling plates has a great influence on the maximum temperature in the battery module. It is also revealed that increasing inlet water flow rate can significantly improve the heat transfer capacity of the battery thermal management system, while the relationship between them is not proportional. Lowering the inlet temperature can reduce the maximum temperature predicted in the battery module significantly. However, this will also lead to additional energy consumed by the cooling system. It is also found that the Scheme 5 among various temperature control strategies can ensure the battery pack working in the best temperature range in different depths of discharge. Compared with the traditional one with a given flow rate, the parasitic energy consumption in Scheme 5 can be reduced by around 80%.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4187-:d:592272
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    References listed on IDEAS

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    1. Satyam Panchal & Krishna Gudlanarva & Manh-Kien Tran & Roydon Fraser & Michael Fowler, 2020. "High Reynold’s Number Turbulent Model for Micro-Channel Cold Plate Using Reverse Engineering Approach for Water-Cooled Battery in Electric Vehicles," Energies, MDPI, vol. 13(7), pages 1-25, April.
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    Citations

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    Cited by:

    1. Magdalena Piasecka & Sylwia Hożejowska & Anna Pawińska & Dariusz Strąk, 2022. "Heat Transfer Analysis of a Co-Current Heat Exchanger with Two Rectangular Mini-Channels," Energies, MDPI, vol. 15(4), pages 1-19, February.
    2. Krzysztof Górecki & Krzysztof Posobkiewicz, 2022. "Cooling Systems of Power Semiconductor Devices—A Review," Energies, MDPI, vol. 15(13), pages 1-29, June.
    3. Nasiri, Mahdieh & Hadim, Hamid, 2024. "Advances in battery thermal management: Current landscape and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    4. Peizheng Li & Jiapei Zhao & Shuai Zhou & Jiabin Duan & Xinke Li & Houcheng Zhang & Jinliang Yuan, 2023. "Design and Optimization of a Liquid Cooling Thermal Management System with Flow Distributors and Spiral Channel Cooling Plates for Lithium-Ion Batteries," Energies, MDPI, vol. 16(5), pages 1-23, February.
    5. Wu, Xiaogang & Du, Jiuyu & Guo, Haoqi & Qi, Mingshan & Hu, Fangfang & Shchurov, N.I., 2022. "Boundary conditions for Onboard thermal-management system of a battery pack under ultrafast charging," Energy, Elsevier, vol. 243(C).
    6. Wei, Hongqian & Zhang, Youtong & Wang, Yongzhen & Hua, Weiqi & Jing, Rui & Zhou, Yue, 2022. "Planning integrated energy systems coupling V2G as a flexible storage," Energy, Elsevier, vol. 239(PB).
    7. Wenxiong Xi & Mengyao Xu & Kai Ma & Jian Liu, 2022. "Heat Transfer Enhancement Methods Applied in Energy Conversion, Storage and Propulsion Systems," Energies, MDPI, vol. 15(19), pages 1-3, October.
    8. He, Xitian & Sun, Bingxiang & Zhang, Weige & Fan, Xinyuan & Su, Xiaojia & Ruan, Haijun, 2022. "Multi-time scale variable-order equivalent circuit model for virtual battery considering initial polarization condition of lithium-ion battery," Energy, Elsevier, vol. 244(PB).

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