非均匀热源下仿生叶脉液冷板的多目标优化

汪宇翔; 陈智鸿; 王旋; 黄宇涛; 关欣

doi:10.19799/j.cnki.2095-4239.2026.0583

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非均匀热源下仿生叶脉液冷板的多目标优化

XXXX | 更新时间：2026-07-31

- 非均匀热源下仿生叶脉液冷板的多目标优化
- Multi-objective Optimization of a Bionic Leaf-Vein Liquid Cooling Plate with Non-uniform Heat Sources
- 储能科学与技术 2026年页码：1-12
- 作者机构：
  
  上海理工大学能源与动力工程学院，上海市 200093
- 作者简介：
  
  汪宇翔,
- 基金信息：
- DOI：10.19799/j.cnki.2095-4239.2026.0583
  中图分类号： TK 124
- 收稿：2026-07-27，
  
  修回：2026-07-06，
  
  网络首发：2026-07-30，
- 稿件说明：
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汪宇翔, 陈智鸿, 王旋, 等. 非均匀热源下仿生叶脉液冷板的多目标优化[J]. 储能科学与技术, XXXX, XX(XX): 1-12.

Wang Yuxiang, Chen Zhihong, Wang Xuan, et al. Multi-objective Optimization of a Bionic Leaf-Vein Liquid Cooling Plate with Non-uniform Heat Sources[J]. Energy Storage Science and Technology, XXXX, XX(XX): 1-12.
汪宇翔, 陈智鸿, 王旋, 等. 非均匀热源下仿生叶脉液冷板的多目标优化[J]. 储能科学与技术, XXXX, XX(XX): 1-12. DOI： 10.19799/j.cnki.2095-4239.2026.0583.

Wang Yuxiang, Chen Zhihong, Wang Xuan, et al. Multi-objective Optimization of a Bionic Leaf-Vein Liquid Cooling Plate with Non-uniform Heat Sources[J]. Energy Storage Science and Technology, XXXX, XX(XX): 1-12. DOI： 10.19799/j.cnki.2095-4239.2026.0583.

摘要

液冷因具有结构紧凑、换热效率高等优势，在动力电池热管理中得到广泛应用。然而，传统液冷BTMS通常将电池视为均匀热源，难以反映电池实际热负荷。基于此，提出一种考虑非均匀热源边界条件的仿生叶脉流道液冷板。以液冷板最高温度、温度标准差和压降为目标函数，首先通过单因素分析讨论各结构参数的影响，随后通过正交试验筛选关键设计变量；基于最优拉丁超立方采样所得样本点，建立目标函数与设计变量之间的Kriging代理模型；最后采用第二代非支配排序遗传算法（NSGA-II）获得Pareto前沿，并通过熵权-TOPSIS法选取最优解。采用原始三维数值模型对优化结果进行复算，并比较优化前后叶脉流道的性能。结果表明，优化后的仿生叶脉流道液冷板最高温度降低3.08℃，温度标准差降低0.50℃，压降由117.42 Pa增至130.06 Pa（增幅10.76%）。研究结果可为非均匀热负荷条件下电池热管理系统液冷板的设计提供参考。

Abstract

Liquid cooling is widely used in battery thermal management systems (BTMS) because of its compact structure and high heat-transfer efficiency. However

conventional liquid-cooled BTMS usually treat the battery as a uniform heat source and thus cannot reflect the actual thermal-load distribution. This study proposes a bionic leaf-vein liquid-cooling plate under a non-uniform heat-source boundary condition. The maximum temperature

temperature standard deviation

and pressure drop are selected as the optimization objectives. Single-factor analysis and orthogonal experiments are first used to identify influential structural parameters and key design variables. A Kriging surrogate model is then established from samples generated by optimal Latin hypercube sampling. NSGA-II is used to obtain the Pareto front

and the optimal solution is selected using the entropy-weight TOPSIS method. The optimized design is recalculated with the original three-dimensional numerical model and compared with the initial bionic leaf-vein channel. The results show that the optimized design reduces the maximum temperature by 3.08℃ and the temperature standard deviation by 0.50℃

while increasing the pressure drop from 117.42 to 130.06 Pa (10.76%). These results provide a reference for designing liquid-cooling plates for BTMS under non-uniform thermal loads.

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references

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