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Direct Comparison of Immersion and Cold-Plate Based Cooling for Automotive Li-Ion Battery Modules

Author

Listed:
  • Prahit Dubey

    (Romeo Power Technology, 4380 Ayers Ave, Vernon, CA 90058, USA)

  • Gautam Pulugundla

    (Romeo Power Technology, 4380 Ayers Ave, Vernon, CA 90058, USA)

  • A. K. Srouji

    (Romeo Power Technology, 4380 Ayers Ave, Vernon, CA 90058, USA)

Abstract

The current paper evaluates the thermal performance of immersion cooling for an Electric Vehicle (EV) battery module comprised of NCA-chemistry based cylindrical 21700 format Lithium-ion cells. Efficacy of immersion cooling in improving maximum cell temperature, cell’s temperature gradient, cell-to-cell temperature differential, and pressure drop in the module are investigated by direct comparison with a cold-plate-cooled battery module. Parametric analyses are performed at different module discharge C-rates and coolant flow rates to understand the sensitivity of each cooling strategy to important system performance parameters. The entire numerical analysis is performed using a validated 3 D time-accurate Computational Fluid Dynamics (CFD) methodology in STAR-CCM+. Results demonstrate that immersion cooling due its higher thermal conductance leads to a lower maximum cell temperature and lower temperature gradients within the cells at high discharge rates. However, a higher rate of heat rejection and poor thermal properties of the dielectric liquid results in a much higher temperature non-uniformity across the module. At lower discharge rates, the two cooling methods show similar thermal performance. Additionally, owing to the lower viscosity and density of the considered dielectric liquid, an immersion-cooled battery module performs significantly better than the cold-plate-cooled module in terms of both coolant pressure drop.

Suggested Citation

  • Prahit Dubey & Gautam Pulugundla & A. K. Srouji, 2021. "Direct Comparison of Immersion and Cold-Plate Based Cooling for Automotive Li-Ion Battery Modules," Energies, MDPI, vol. 14(5), pages 1-19, February.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1259-:d:505649
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    References listed on IDEAS

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    1. In-Ho Cho & Pyeong-Yeon Lee & Jong-Hoon Kim, 2019. "Analysis of the Effect of the Variable Charging Current Control Method on Cycle Life of Li-ion Batteries," Energies, MDPI, vol. 12(15), pages 1-11, August.
    2. Feng, Xuning & Zheng, Siqi & Ren, Dongsheng & He, Xiangming & Wang, Li & Cui, Hao & Liu, Xiang & Jin, Changyong & Zhang, Fangshu & Xu, Chengshan & Hsu, Hungjen & Gao, Shang & Chen, Tianyu & Li, Yalun , 2019. "Investigating the thermal runaway mechanisms of lithium-ion batteries based on thermal analysis database," Applied Energy, Elsevier, vol. 246(C), pages 53-64.
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    Cited by:

    1. Gökhan Sevilgen & Harun Dursun & Muhsin Kılıç, 2023. "Experimental and Numerical Investigations on the Thermal Performance of Three Different Cold Plates Designed for the Electrical Vehicle Battery Module," Sustainability, MDPI, vol. 15(19), pages 1-20, September.
    2. Liu, Jiahao & Fan, Yining & Wang, Jinhui & Tao, Changfa & Chen, Mingyi, 2022. "A model-scale experimental and theoretical study on a mineral oil-immersed battery cooling system," Renewable Energy, Elsevier, vol. 201(P1), pages 712-723.
    3. Yuxin Zhou & Zhengkun Wang & Zongfa Xie & Yanan Wang, 2022. "Parametric Investigation on the Performance of a Battery Thermal Management System with Immersion Cooling," Energies, MDPI, vol. 15(7), pages 1-21, March.
    4. Thomas Imre Cyrille Buidin & Florin Mariasiu, 2021. "Battery Thermal Management Systems: Current Status and Design Approach of Cooling Technologies," Energies, MDPI, vol. 14(16), pages 1-32, August.
    5. Krzysztof Górecki & Krzysztof Posobkiewicz, 2022. "Cooling Systems of Power Semiconductor Devices—A Review," Energies, MDPI, vol. 15(13), pages 1-29, June.

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