Abstract
An adaptive energy management control strategy is proposed for a commuter plug-in hybrid electrical vehicle (PHEV) during car-following process in this paper. The proposed energy management strategy (EMS) is an instantaneous optimization control strategy integrating car-following behavior performance index into adaptive equivalent consumption minimization strategy (A-ECMS). In order to achieve better fuel economy and safety performance under different car-following scenarios, the equivalent factor (EF) of ECMS and the weight factor of car-following performance in the instantaneous optimization cost function are designed as adaptive forms of Map tables about battery state of charge (SOC) and travel distance. The Mapping tables are established offline by utilizing historical traffic data of the commute road and particle swarm optimization (PSO) method. The effectiveness and practicality of the designed EMS are verified through the co-simulation of MATLAB/Simulink and GT-Suite simulator.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
