基于回归分析法的电机控制器散热翅片优化

Optimization of Motor Controller’s Heat Dissipation Fins Based on Regression Analysis

为提升增程器电机控制器的散热性能,保证其工作的稳定性,采用数值仿真手段,对其散热翅片结构进行了数值优化研究。首先,基于电机控制器的结构与工作参数,利用SOLIDWORKS FLOW SIMULATION模块,搭建准确可靠的散热系统仿真模型。其次,基于上述模型,详细研究散热系统中翅片长度、厚度、宽度对绝缘栅双极型晶体管(insulated gate bipolar transistor,IGBT)结点温度以及进出口压降的影响规律。最后,利用回归分析法对翅片长度、厚度及宽度进行优化设计。研究结果表明,采用回归分析法可有效优化散热系统翅片尺寸,提升系统散热性能,优化后,翅片长度L=7.23 mm,厚度T=1.00 mm,宽度W=7.09 mm,在保持进出口压降相同的情况下,IGBT结点温度由72.29℃降低为71.76℃。

In order to improve the heat dissipation performance of the range extender motor controller and ensure the stability of its work,a numerical optimization study on its heat dissipation fins was conducted based on the numerical simulation method.Firstly,based on the structure and working parameters of the motor controller,an accurate and reliable heat dissipation system simulation model was constructed by using the SOLIDWORKS FLOW SIMULATION module.Secondly,based on the above model,the influence of the fin size,including length,thickness,and width,on the insulated gate bipolar transistor(IGBT)junction temperature and pressure drop between the inlet and outlet was studied in detail.Finally,using the regression analysis method,the fin length,thickness and width were optimized.The research results show that the regression analysis method can effectively optimize the fin size and improve the heat dissipation performance of the heat dissipation system.After the optimization,the fin length L=7.23 mm,thickness T=1.00 mm,width W=7.09 mm,and the IGBT junction temperature is reduced from 72.29℃to 71.76℃while maintaining the same pressure drop.