Energy Management of Plug-in Hybrid Electric Vehicle Based on Fuzzy Logic Control

Abstract

In order to optimize the energy distribution of plug-in hybrid electric vehicle (PHEV) and improve the fuel economy and discharge performance of PHEV, a double fuzzy controller composed of two sets of input variables which are accelerator opening and change rate, torque requirement and state of charge (SOC) is designed. Particle swarm optimization algorithm is used to optimize the fuzzy control strategy to obtain the global optimal. The simulation results show that the energy management strategy with optimized fuzzy logic control can effectively reduce the fuel consumption and exhaust emissions.