Optimization for the Powertrain of Electric Vehicle Based on Approximate Model

Taking an electric vehicle as the research object, based on the MATLAB established the pure electric vehicle power system components and vehicle simulation model. The transmission parameters as the optimized goal, in ISIGHT, the response surface method is used to construct the design variables and the optimized target approximation model. The genetic algorithm is used to optimize the parameters of the powertrain of the vehicle. Analysis and comparison of the dynamic performance and economic simulation of the vehicle before and after optimization. The results show that under the condition of satisfying the vehicle dynamic design target, the optimization of the vehicle driving range increased by 20.1% in the NEDC driving conditions.