Multi-objective optimization of automotive power battery cooling plate structure using response surface methodology

被引：1

作者：

Liu, Qingtong ^{[1
]}

Sun, Qun ^{[1
]}

Wang, Hao ^{[1
]}

Cheng, Baixin ^{[1
]}

机构：

[1] Liaocheng Univ, Sch Mech & Automot Engn, Liaocheng 252000, Shandong, Peoples R China

来源：

JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY | 2024年 / 38卷 / 11期

关键词：

Automotive power battery cooling plate; Multi-objective optimization; Response surface methodology; NSGA-II; Decision-making; PERFORMANCE; DESIGN;

D O I：

10.1007/s12206-024-1047-3

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This study aims to investigate the multi-objective optimization method for liquid cooling plates in automotive power batteries. The response surface method and NSGA-II were combined to optimize the temperature of the battery system under liquid-cooled conditions and the internal pressure of the liquid-cooled plate. The optimal Latin hypercube sampling method was used for sampling, with the flow channel parameters of the liquid-cooled plate and the cooling fluid inlet flow rate as design variables and the maximum temperature of the battery system and the maximum internal pressure of the liquid-cooled plate as target functions. The response surface model was fitted, and the Pareto solution set for the target to be optimized was obtained using NSGA-II. The LINMAP decision-making algorithm was employed to obtain the optimal solution, which is a maximum temperature of 37.25 degrees C for the battery and a maximum pressure of 63.3 Pa for the liquid-cooled plate.

引用

页码：6365 / 6374

页数：10

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