Numerical Optimization of Bionic Tree-like Channel Liquid Cold Plate on Lithium-ion Battery

LIU Huan-huan, REN Xiao-long, ZHANG Ze-bin

Packaging Engineering ›› 2023 ›› Issue (19) : 273-282.

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Packaging Engineering ›› 2023 ›› Issue (19) : 273-282. DOI: 10.19554/j.cnki.1001-3563.2023.19.035

Numerical Optimization of Bionic Tree-like Channel Liquid Cold Plate on Lithium-ion Battery

  • LIU Huan-huan1, REN Xiao-long2, ZHANG Ze-bin3
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Abstract

The work aims to achieve the goal that the maximum temperature and temperature difference of lithium-ion battery are within the suitable temperature range when the discharge rate is 5C and the ambient temperature is 298.15 K. Bionic tree-like liquid cold plates with channels were inserted on both sides of the lithium-ion battery to establish the liquid cold plate heat dissipation model of the battery module. Firstly, the accuracy of the numerical model of liquid cold plate was verified, and then the effect of the angle of branch runner, the inlet velocity, the width of branch runner and the thickness of liquid cold plate on the cooling performance of cold plate was studied by orthogonal experimental design. The importance of the four factors was ranked by range analysis, and the optimal parameter combination was determined. The maximum temperature of the optimized scheme battery was 302.4 K and the temperature difference was 3.4 K, which met the design requirements. However, there was a risk of coolant leakage during the flow cycle. The tree-like liquid cold plate can meet the requirements of battery thermal management performance. The optimized battery module has a safe range of surface temperature, and the battery temperature uniformity is significantly improved. Cold plate materials with high thermal conductivity should be selected, and attention should be paid to the structural design of cold plate to prevent coolant leakage.

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LIU Huan-huan, REN Xiao-long, ZHANG Ze-bin. Numerical Optimization of Bionic Tree-like Channel Liquid Cold Plate on Lithium-ion Battery[J]. Packaging Engineering. 2023(19): 273-282 https://doi.org/10.19554/j.cnki.1001-3563.2023.19.035
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