An Improved Fuzzy Energy Management Strategy Based-On Particle Swarm Optimal Algorithm for Electric Vehicle

This paper proposes an improved fuzzy energy management strategy based on particle swarm optimal algorithm for electric vehicle with dual-battery storage system. The proposed method adds optimization criterions on the basis of fuzzy rules to maximize the charge-discharge efficiency and achieve optimal power allocation. Simulation results based on Matlab / Simulink illustrated that the improved fuzzy energy management could increase the charge-discharge efficiency and mileage, effectively reduce power output of the main-battery in the case of the low remaining capacity, and extend the lifetime of the main battery to a certain extent.