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Optimal Design of Liquid-Cooled Plates for Lithium-Ion Batteries Using Multi-Objective Topology Optimization
Journal of Thermophysics and Heat Transfer ( IF 2.1 ) Pub Date : 2021-11-05 , DOI: 10.2514/1.t6420
Hua Wen 1 , Zheng Tu 1
Affiliation  

This paper proposes a design method for liquid-cooled plates of lithium-ion batteries based on topology optimization. First, as a multi-objective optimization function, the Pareto algorithm is constructed as a weighted combination of viscous dissipation index and homogenous temperature index. Next, the optimal configuration of the channel with different import/export arrangements and different weighting factors is investigated using the fluid pressure drop and maximum temperature as evaluation indices, and the three-dimensional lithium-ion-battery liquid-cooled heat dissipation model is validated on this basis. The results show that under the adiabatic boundary conditions, the channel configuration with the import/export arranged in parallel diagonally on the long side has good overall performance in terms of fluid pressure drop, and so it has the lowest external pump power consumption, the maximum temperature of the channel configuration with the import/export arranged vertically diagonally is the lowest, and the cooling effect is best. Compared with the conventional fence-shaped channel, the optimized channel screened based on the Pareto optimal solution set reduces the maximum cell temperature by 0.21 K, the fluid pressure drop of the channel by 18.25%, and the cell temperature difference by 5.17%; compared with the serpentine channel, the fluid pressure drop is reduced by 85.55%.



中文翻译:

基于多目标拓扑优化的锂离子电池液冷板优化设计

本文提出了一种基于拓扑优化的锂离子电池液冷极板设计方法。首先,作为多目标优化函数,帕累托算法被构造为粘性耗散指数和均匀温度指数的加权组合。接下来,以流体压降和最高温度为评价指标,研究了不同进出口布置和不同权重因子的通道优化配置,并验证了三维锂离子电池液冷散热模型在此基础上。结果表明,在绝热边界条件下,入口/出口在长边对角平行排列的通道配置在流体压降方面具有良好的综合性能,因而外泵功耗最低,进出口垂直对角排列的通道配置最高温度最低,冷却效果最好。与常规栅栏形通道相比,基于帕累托最优解集筛选出的优化通道使电池最高温度降低0.21 K,通道流体压降降低18.25%,电池温差降低5.17%;与蛇形通道相比,流体压降降低了85.55%。基于Pareto最优解集筛选出的优化通道,使电池最高温度降低0.21K,通道流体压降降低18.25%,电池温差降低5.17%;与蛇形通道相比,流体压降降低了85.55%。基于Pareto最优解集筛选出的优化通道,使电池最高温度降低0.21K,通道流体压降降低18.25%,电池温差降低5.17%;与蛇形通道相比,流体压降降低了85.55%。

更新日期:2021-11-07
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