Study on Control Strategy of the Extended-Range Electric Vehicle based on Genetic algorithm

Electric vehicles are the most potential new energy vehicles to solve the energy crisis and the environmental pollution, but pure electric vehicles have some problems, such as short driving distance and long charging time, and complicated structure is the development bottleneck to hybrid electric vehicles, but extended range electric vehicles make up for these deficiencies effectively. The range extender and battery of extended range electric vehicles constitute the whole power source; first of all, determining the basic parameters of each part, and control strategy decides the economy, dynamic property and emission performance of the fuel. In combination with the structural characteristics of extended range electric vehicles, putting forward genetic algorithm to optimize the control strategy, then using advisor software to conduct simulation studies.