Research on Adaptive Two-Point Energy Management Strategy and Optimization for Range-Extended Electric Vehicle

Abstract

This article proposes an adaptive parameter optimization energy management strategy suitable for range-extended electric vehicle (R-EEV), with the optimization objectives of improving vehicle economy, reducing emissions and extending battery life. First of all, an adaptive two-point energy management strategy (AT-PEMS) based on the auxiliary power unit (APU) optimal curve is designed, and the APU system realizes power following in the way of constant speed and variable torque. Then, the oil-electricity conversion loss rate, comprehensive exhaust emissions and battery capacity loss rate are selected as the optimization objectives, and the particle swarm optimization algorithm is applied to solve the multi-objective optimization (MOO) problem in AT-PEMS. The simulation results show that under the same solution, the three optimization objectives cannot be optimal. We evaluate the individual with the best comprehensive objective as the final optimization solution. Finally, the paper designs an adaptive parameter optimization module based on fuzzy controller. The test results show that AT-PEMS play a positive role in extending the battery life while ensuring high fuel economy and low emissions.

Keywords

• Range-extended electric vehicle
• energy management
• multi-objective optimization
• adaptive fuzzy control
• PSO algorithm