1. SAIC General Motors Co.， Ltd. Wuhan Branch, Wuhan, Hubei 430070, China； 2. School of Automotive Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China； 3. Air Force Early Warning Academy, Wuhan, Hubei 430070, China； 4. Dongfeng Motor Corporation Technology Center, Wuhan, Hubei 430070, China)

 With a traditional fuel vehicle as research platform, the structure of the twoaxle drive hybrid power system was determined. The vehicle control strategy was selected based on the logic threshold, and the all work modes and the torque distribution of vehicle were investigated. The model of the vehicle control strategy was established by Matlab/Simulink. To minimize the fuel consumption per hundred kilometers of engine and the power consumption per hundred kilometers of  drive motor, the improved nondominated sorting genetic algorith( NSGAⅡ) was proposed to optimize the structural parameters and control strategy parameters of the rear axle of vehicle by the optimization software of Isight. The vehicle simulation model was established by AVL Cruise and Matlab/Simulink, and the economic and dynamic proferties of vehicle were simulated. The optimization results show that the overall vehicle dynamic performance is basically consistent with that before optimization, and the overall energy consumption of vehicle is reduced by 5.4%.