Topology optimization of a new leaf-vein type bionic channel liquid-cooling plate for lithium batteries

IF 2.6 3区工程技术 Q2 ENGINEERING, MECHANICAL

International Journal of Heat and Fluid Flow Pub Date : 2025-06-11 DOI:10.1016/j.ijheatfluidflow.2025.109932

Sen Zhan , Xiaolong Shi , Yonggang Liu , Datong Qin , Chongyang Xu

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引用次数: 0

Abstract

This paper presents a novel biomimetic leaf vein-shaped (LVTB) cold plate structure. To enhance its cooling efficiency and heat dissipation performance, we performed topology optimization using maximum heat transfer and minimum fluid dissipation as objective functions, with the leaf vein-shaped flow channel as the initial solution. The effects of weight coefficients, Reynolds number, and volume fraction on the optimization results were analyzed, and the performance of the topology-optimized cold plate was compared with that of S-shaped flow and uniform topology cold plates. Compared to the S-shaped and uniform topology cold plates, the topology-optimized cold plate with the leaf vein design as the initial solution exhibited superior performance. The maximum temperature (T_max) decreased by 0.5 °C and 1.4 °C, the average temperature (T_avg) reduced by 0.08 °C and 0.72 °C, the temperature difference (ΔT) lowered by 0.07 °C and 0.25 °C, and the pressure drop (Δp) dropped by 11.66 kPa (92.76 %) and 0.1 kPa (9.9 %), respectively. An experimental platform for liquid cooling was set up to validate the performance of the optimized LVTB cold plate and the topology-optimized cold plate. These results demonstrate the superior heat dissipation performance of the topology-optimized structure based on the leaf vein-shaped channels and validate the accuracy of the numerical simulations. This provides strong support for further research and application in lithium-ion battery thermal management.

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新型叶脉型锂电池仿生通道液冷板的拓扑优化

提出了一种新型的仿生叶脉状冷板结构。为了提高其冷却效率和散热性能，我们以叶脉状流道为初始解，以最大换热和最小流体耗散为目标函数进行拓扑优化。分析了重量系数、雷诺数和体积分数对优化结果的影响，并将优化后的拓扑冷板与s型流和均匀拓扑冷板的性能进行了比较。与s型均匀拓扑冷板相比，以叶脉设计为初始方案的拓扑优化冷板表现出更优的性能。最高温度（Tmax）分别降低0.5℃和1.4℃，平均温度（Tavg）分别降低0.08℃和0.72℃，温差（ΔT）分别降低0.07℃和0.25℃，压降（Δp）分别降低11.66 kPa（92.76%）和0.1 kPa（9.9%）。搭建了液冷实验平台，对优化后的LVTB冷板和拓扑优化后的冷板进行了性能验证。这些结果证明了基于叶脉状通道的拓扑优化结构具有优越的散热性能，并验证了数值模拟的准确性。这为锂离子电池热管理的进一步研究和应用提供了有力的支持。

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来源期刊

International Journal of Heat and Fluid Flow 工程技术-工程：机械

CiteScore

5.00

自引率

7.70%

发文量

131

审稿时长

33 days

期刊介绍： The International Journal of Heat and Fluid Flow welcomes high-quality original contributions on experimental, computational, and physical aspects of convective heat transfer and fluid dynamics relevant to engineering or the environment, including multiphase and microscale flows. Papers reporting the application of these disciplines to design and development, with emphasis on new technological fields, are also welcomed. Some of these new fields include microscale electronic and mechanical systems; medical and biological systems; and thermal and flow control in both the internal and external environment.