关键词: 车辆工程；热管理系统；拉丁超立方抽样；目标函数；克里金模型

Abstract: In order to study a liquid cooling method for lithium-ion batteries in pure electric vehicles, a bionic leaf-shaped channel thermal management system (BTMS) was proposed to study the cooling performance of lithium-ion batteries. Taking the channel angle, channel width, and mass flow as design variables, the proportion among the objective functions of liquid cooling plate (average temperature, temperature standard deviation, pressure loss) was comprehensively considered, and the structural parameters of the liquid cooling plate and the optimal parameters of the mass flow were obtained. Firstly, by setting up a single battery experimental platform, the heat production per unit volume of the single battery under different discharge rates was obtained. Then Latin hypercube sampling (LHS) was used to select 40 sample points in the design space. The relationship between design variables and objective functions was established by replacing the model with Kriging. Finally, the NSGA-Ⅱ algorithm was used to optimize the Kriging model, and CFD was used to verify the accuracy of optimization results. The research results show that the optimized design results can reduce the average temperature of the liquid cooling plate by 1.42 K (3.88%), the temperature standard deviation by 0.35 K (15.29%), and the pressure loss by 7.49 Pa (8.78%).

Key words: vehicle engineering; thermal management system; LHS; objective function; Kriging model