Energy management of a parallel plug-in hybrid electric vehicle based on SA-PSO algorithm

In this paper, an intelligent energy management strategy is introduced to improve the fuel economy of a parallel plug-in hybrid electric vehicle (PHEV). Based on the dynamic system analysis, a fuzzy controller is designed for the energy management of PHEV. Then the combination of Simulated Annealing and Particle Swarm Optimization (SA-PSO) is applied to achieve the optimal parameters of the fuzzy controller. To improve the adaptability of the strategy under different road conditions, the hybrid driving cycle that composed of HWFET, LA92, Ftp75, Ja1015 and NEDC driving cycles is taken as the driving cycle for simulation. Moreover, simulations under NEDC and UDDS driving cycles are taken to verify the effects of the proposed energy management strategy. Simulation results indicate that the proposed energy management strategy is effective in improving the fuel economy under different driving conditions.