Optimization of Control Strategy for Plug-in Hybrid Electric Vehicle Based on Differential Evolution Algorithm

In order to improve fuel economy, reduce emission and maintain battery life, the simulation model and control strategy for plug-in hybrid electric vehicle were established by means of PSAT and MATLAB/SIMULINK. Based on differential evolution algorithm, the control parameters were global optimized. The simulation result shows that the optimized control parameters can obviously improve the vehicle economy. It not only proves the necessary of carrying out control parameters optimization, but also reflects the excellent ability of differential evolution algorithm to realize the global optimization.