关键词: 非支配排序遗传算法 II( NSGA-II) , 最大、最小拉丁采样, Fluent, 多目标优化

Abstract: In order to study the problem of optimizing the design of the liquid cooling plate structure of the motor controller and to improve the heat dissipation effect of the liquid cooling plate, a thermo-solid-fluid coupling model was established by using the fluid simulation software Fluent, and the influence of the width and height of the internal runners of the liquid cooling plate as well as the flow rate of the coolant on the heat dissipation performance was analyzed. The parameter combinations were obtained through the maximum-minimum Latin sampling experimental design method,and the polynomial response surface agent model was established according to the numerical simulation results. NSGA-II algorithm was used to optimize the multi-objective optimization with the liquid-cooled plate runner width, runner height and coolant flow rate as the design variables,and the MOSFET temperature and the liquid-cooled plate pressure drop as the objective function,and the optimization was verified through the Fluent software simulation. The optimization results were verified by Fluent software simulation. The results show that the optimized liquid-cooled plate improves the performance of heat dissipation by 1. 3% and pressure drop by 6. 89%,which improves the comprehensive performance of the liquid-cooled plate of the motor controller.

Key words: non-dominated sorting genetic algorithm II ( NSGA-II ), maximum-minimum Latin sampling, Fluent, multi-objective optimization