关键词: 纯电动汽车；遗传算法；智能发电；制动强度；电池荷电状态；Matlab 仿真

Abstract: The power battery capacity of electric vehicle is limited, which is one of the key factors troubling its promotion. If the battery capacity is blindly improved, the whole vehicle cost will be greatly increased. Therefore, under the premise that the power battery capacity of electric vehicle remains unchanged and the vehicle driving comfort and safety is guaranteed, it is very important to put forward the range improvement strategy. This paper proposes that the power generation strategy by loading wind generator and brake feedback motor is helpful for endurance, after analyzing the influence factors of wind power generation and braking energy feedback and studying the controlmodel structure of pure electric vehicle wind power generation and braking energy feedback system, the intelligent power generation energy model is established by taking into full consideration the resistance of the vehicle and improving the efficiency of electric energy conversion. Finally, the genetic algorithm is used to take air humidity, braking strength, battery state of charge, running speed and other factors as decision variables, simulation in Matlab software, obtained with the wind generator and brake feedback motor after smooth operation, the sum of wind power generation and braking energy feedback is at the best generating value, which verifies that the power generation strategy can improve the charging amount of power battery and increase the driving range of pure electric vehicles.

Key words: Electric vehicle; Genetic algorithm; Intelligent power generation; Braking strength; Charge status of the battery; Matlab simulation