Abstract
ABSTRACT The fuel economy performance of plug-in hybrid electric vehicles (PHEVs) highly depends on the energy management strategy. This paper proposed a navigation-based model predictive control (MPC) method for a novel serials-parallel PHEV. The navigation technology is utilized for the speed forecasting. In order to modify the errors in navigation predicted speed, the mapping relations of predicted speed and real speed is built. Moreover, a hybrid genetic algorithm with the advantages of whale optimization is proposed to find the best energy management strategy. The comparison results under real driving cycles demonstrate the accuracy of the navigation-based method, and the proposed MPC can effectively reducing 8.07% energy consumption.
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.
