基于新型液冷板的电池热管理系统多目标优化

Multi-objective Optimization of Battery Thermal Management System Based on New Liquid Cooling Plate

为提升电池热管理系统(BTMS)散热效果,采用计算流体力学(CFD)和基于快速非支配排序遗传算法(NGSA-II)的多目标优化相结合的方法设计优化了一种新型液冷板模型。通过电池实验,得到不同放电倍率下单体电池产热量。以通道夹角、通道宽度、冷却液的质量流量为设计变量,平均温度、温度标准差和压降为目标函数,采用拉丁超立方体抽样(LHS)方法,在设计空间中选取了35个设计点,利用响应面近似模型(RSM)拟合出目标函数的表达式。结果表明:在5C放电倍率下,优化后液冷板的散热性能得到有效提升,与初始模型相比,液冷板的平均温度和温度标准差分别下降了11%、51.2%,压降仅增加了3.3Pa。

In order to improve the heat dissipation effect of the battery thermal management system(BTMS),a new liquid-cooled plate model was designed and optimized using a combination of computational fluid dynamics(CFD)and fast non-dominated sequential genetic algorithm(NGSA-II)based multi-objective optimization.The heat production of a single cell at different discharge multipliers was obtained through cell experiments.The channel angle,channel width,and mass flow rate of coolant were used as design variables,and the average temperature,temperature standard deviation and pressure drop(ΔP)were used as objective functions,using the Latin hypercube sampling(LHS)method,35 design points were selected in the design space and the expressions of the objective function were fitted using the response surface approximation model(RSM).The results showed:at 5C discharge rate,the cooling performance of the liquid cooling plate was effectively improved.Compared with the original model,the average temperature and the temperature standard deviation of the optimized liquid-cooled plate decreased by11%and 51.2%,respectively,and theΔP increased by only 3.3Pa.