E-REV Energy Management Strategy Based on Optimized Power Following Control
The energy management strategy of range-extended electric vehicle based on power following control has the advan-tages of slowing down battery life decay and improving NVH performance,but there are some problems such as strong depend-ence of threshold parameters and frequent start-stop of range extender.Therefore,an E-REV energy management strategy based on optimized power following control was proposed.According to the information characteristics of vehicle speed,SOC state and driving accelerator pedal force,energy management strategy based on power following control was established.For the limitations of fixed parameters,the total driving cost and the variation gradient of SOC was taken as the objective function, the start-stop power threshold parameters of range extender were optimized to reduce the phenomenon of frequent engine start-stop by combining with grey wolf optimization algorithm.Matlab/Simulink was used to build the control strategy model,and the simulation test was conducted jointly with the vehicle physical model built with Simcenter/AMESIM.The results show that,compared with the power following control strategy,the maximum SOC fluctuation value reduces by 28％,the start-stop times of range extender reduces by 28.5％,and the vehicle fuel economy improves by 6.89％ after the optimization under CHTC-LT cycle conditions.
range-extended vehicleenergy managementpower following controlgrey wolf optimization algorithmfuel economy
万方数据
维普
