E-REV Energy Management Strategy Based on Optimized Power Following Control

LIU Kai; LI Jiehui; ZHANG Shutao

doi:10.3969/j.issn.1001-2222.2024.02.009

Vehicle Engine ›› 2024, Vol. 0 ›› Issue (2) : 60. DOI: 10.3969/j.issn.1001-2222.2024.02.009

E-REV Energy Management Strategy Based on Optimized Power Following Control

LIU Kai¹，LI Jiehui¹，ZHANG Shutao²

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Abstract

The energy management strategy of range-extended electric vehicle based on power following control has the advantages of slowing down battery life decay and improving NVH performance, but there are some problems such as strong dependence 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.

Key words

range-extended vehicle / energy management / power following control / grey wolf optimization algorithm / fuel economy

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LIU Kai，LI Jiehui，ZHANG Shutao. E-REV Energy Management Strategy Based on Optimized Power Following Control[J]. Vehicle Engine. 2024, 0(2): 60 https://doi.org/10.3969/j.issn.1001-2222.2024.02.009