基于Isight的电动汽车动力性燃油经济性优化

Optimization on dynamic and fuel economy of electric vehicles based on Isight

针对电动汽车动力性与燃油经济性优化目标矛盾的问题,基于Isight软件集成的第二代非劣排序遗传算法(NSGA-II)算法用MATLAB软件编写程序,采用Isight直接集成MATLAB程序并进行多目标优化.优化结果表明:基于Isight软件自带的NSGA-II算法,可明显改善电动汽车动力性、经济性.

To solve the contradicton of the optimization objective between dynamic and fuel economy of electric vehicles, the second non dominated sorting genetic algorithm（NSGA II） which is integrated in the Isight is presented. The programs of dynamic and fuel economy are developed in MATLAB, and MATLAB is integrated into Isight directly. The optimization results show that the dynamic and fuel economy of electric vehicles can be improved greatly by the NSGA II algorithm.