锂离子电池叶脉状液冷散热通道设计与优化  

Design and Optimization of Leaf-Vein-Inspired Bionic Channels for Lithium-Ion Batteries

作　　者：许重阳 詹森 曾力 XU Chongyang;ZHAN Sen;ZENG Li(Chongqing Jiaotong University,Chongqing 400041,China)

机构地区：[1]重庆交通大学,重庆400041

出　　处：《汽车工程学报》2025年第1期11-21,共11页Chinese Journal of Automotive Engineering

摘　　要：为提升锂离子电池组热安全性,提出了一种具有叶脉状仿生通道的液冷锂电池热管理结构。使用流体力学软件STAR-CCM+对模型的散热性能进行分析与优化,采用正交试验极差法,研究了冷却板通道数N、通道宽度W、入口流量Q等多参数耦合对电池最高温度T_(max)、平均温度T_(avg)、表面温差ΔT和冷却液压降Δp的影响。结果表明,N和Q是影响冷却性能的主要因素,W是次要因素,并且在N=12,W=8 mm,Q=25 g/s时冷板的综合性能最佳,优化后的叶脉状冷板比S型冷板的T_(max)低了1.32%,T_(avg)低了0.64%,Δp低了88.2%。To enhance the thermal safety of lithium-ion battery packs,this paper proposes a liquid-cooled thermal management structure with bionic channels resembling leaf veins.The thermal performance of the model is analyzed and optimized using the fluid dynamics software STAR-CCM+.Using the polar-variance method in orthogonal testing,the effects of multi-parameter coupling,including the number of cooling plate channels N,the channel width W,and the inlet flow rate Q,on key factors such as the maximum battery temperature T_(max),the average temperature T_(avg),the surface temperature difference ΔT,and the cooling hydraulic pressure drop Δp are investigated.The results show that N and Q are the primary factors affecting cooling performance,with W being a secondary factor.The optimal overall performance of the cooling plate is achieved at N=12,W=8 mm,and Q=25 g/s.After optimization,the leaf-vein-like cooling plate shows a 1.32%reduction in T_(max),a 0.64%reduction in T_(avg,)and an 88.2%reduction in Δp compared to the S-type channel cooling plate.

关 键 词：锂离子电池 电池热管理系统 叶脉状仿生通道 正交试验 

分 类 号：TM912[电气工程—电力电子与电力传动]