材料科学
相变材料
粒子群优化
电池(电)
电池组
计算机冷却
锂离子电池
热的
锂(药物)
响应面法
汽车工程
计算机科学
核工程
机械工程
电子设备和系统的热管理
热力学
工程类
算法
功率(物理)
医学
物理
内分泌学
机器学习
作者
Nong Xie,Ying Zhang,Xiaojie Liu,Rongqin Luo,Yanbo Liu,Chuyuan Ma
标识
DOI:10.1016/j.applthermaleng.2023.121341
摘要
It is crucial to propose an efficient hybrid Battery Thermal Management System (BTMS) and a multi-objective optimization method with high-accuracy and low computational load due to many factors greatly influence the performance and energy density (ED) of hybrid BTMS. In this paper, a novel hybrid BTMS combined with phase change material (PCM), micro heat pipe array, and liquid cooling is proposed, whose cooling performance is verified experimentally. Then, the effects of the main structural parameters of BTMS on cooling performance and ED were numerically analyzed with the Box-Behnken design (BBD). Finally, a multi-objective optimization with Multiple Objective Particle Swarm Optimization based on Response Surface Methodology (RSM) is introduced to optimize ED and cooling performance. The experimental result shows that the temperature difference of the hybrid module is maintained within a safe range reducing from 6.9 °C to 3.9 °C, and the maximum temperature is reduced by 13.78% from 46.0 °C to 39.8 °C during 2C discharging progress compared with the module only PCM cooling. The optimization outcomes predict that the optimized BTMS's ED can rise 11.23% to 157.8 Wh/kg with only a slight variation in cooling performance in comparison to the original module.
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