性能需求驱动的电动汽车动力系统参数优化

Parameter Optimization of Powertrain System for Electric Vehicles Oriented to Performance Requirements

为有效提高电动汽车的综合性能,提出了一种基于质量功能展开和正交试验法的动力系统参数综合设计与优化方法.首先,基于质量功能展开建立了满足顾客需求的车辆性能与技术特性的耦合模型,应用粗糙数和灰色关联法确定各技术特性的加权因子;然后,基于正交试验法,以车辆综合性能最优为目标构建了动力系统参数优化设计模型,应用灰色关联法获得车辆综合性能指标系数,进而确定最优解,并对各因素进行灵敏度分析;最后,基于Matlab平台建立了电动汽车动力系统参数的设计优化模型,并以某款电动汽车为实例进行了仿真优化.仿真结果表明,优化后的车辆综合性能提升了32.3%,证明了文中方法的有效性.

Proposed in this paper is an integrated design and optimization method of powertrain parameters for electric vehicles on the basis of QFD( Quality Function Deployment) and orthogonal test,which promotes the comprehensive performance of electric vehicles effectively. Firstly,a QFD-based coupling model considering both customer requirements and technical characteristics is set up,and the weighting factors of technical characteristics are determined by applying rough number and grey correlation method. Secondly,an optimization model of powertrain parameters is constructed through orthogonal test,with vehicle comprehensive performance being taken as the objective. Then,the comprehensive performance coefficients of vehicles are obtained by means of grey correlation method,and the optimal solution to multi-objective optimization as well as the sensibility analysis of performance factors is dealt with. Finally,a design and optimization model on Matlab platform is established and is further verified with an electric vehicle. An increment of 32. 3% in comprehensive performance is obtained,which verifies the effectiveness of the proposed method.