波纹流道动力电池冷板的多目标优化设计

Muti-objective optimization of the wavy channel cold plate for power batteries

相对于直通道冷板,波纹通道冷板在锂离子动力电池的散热中具有更好的综合换热性能。本文将多目标遗传算法与仿真软件直接耦合,通过优化波纹微通道冷板的4个结构参数来降低热阻和压差。结果表明,周期数和振幅的增加使得整个冷板与工质之间的换热面积与扰动程度不断增加,从而提高了换热性能。此外,减少通道宽度可以提高通道中工质的雷诺数,同样有强化传热的作用。为了探究影响冷板性能的关键参数,本研究使用了Spearman相关系数进行表征,对比结果表明通道宽度与冷板性能间的关系最为显著,可为后续应用提供一定的指导。

Compared to the straight cold plate,the wavy channel cold plate has better comprehensive heat transfer performance for the heat dissipation of lithium-ion power batteries.In the paper,multi-objective genetic algorithm was directly coupled with CFD software,and then four parameters of the wavy mini-channel cold plate were optimized to reduce thermal resistance and pressure drop.Results show that the increase in the number of periods and amplitude continuously increases the heat transfer area and disturbance between the cold plate and the working fluid,which improves the heat transfer performance.Moreover,reducing the channel width can increase the Reynolds number of the working fluid,which also has the positive effect on heat transfer enhancement.In addition,in order to explore the key parameters affecting the performance,this study used Spearman correlation coefficient for further investigation.The comparison results show that the relationship between the channel width and the plate performance is the most significant,which can provide certain guidance for subsequent applications.