Efficient operation technique has always been one of the common goals for researches both in automobile industrial and academic areas. With the great progress of automobile technology, hybrid electric vehicle/plug-in hybrid electric vehicle (HEV/PHEV) has already become the main achievement of transportation electrification, due to its excellent fuel-saving performance. Energy management strategy (EMS) is an important link during the HEV/PHEV design procedure, which can govern the energy flow between the fuel tank and the electric energy storage by solving the energy distribution problem. As the continuous development of intelligent connected vehicle technology, designing an efficient EMS with vehicle to infrastructure/vehicle to vehicle (V2I/V2V) information for HEV/PHEV is still a challenge and hot issue. This study presents a deep review of the various EMSs for both conventional HEV/PHEV and that using V2I/V2V information, providing a thorough survey of EMSs using different methodologies. In terms of single-vehicle and multi-vehicle scenarios, the EMSs for HEV/PHEV under intelligent transport system is in-depth reviewed. Finally, the challenges for future research are also identified. This study could provide a comprehensive reference for researchers in field of HEV/PHEV.
Efficient energy management strategy for hybrid electric vehicles/plug-in hybrid electric vehicles: review and recent advances under intelligent transportation system
IET Intelligent Transport Systems ; 14 , 7 ; 702-711
2020-05-06
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
automobile industry , intelligent connected vehicle technology , efficient energy management strategy , intelligent transport system , intelligent transportation systems , energy management systems , HEV-PHEV design procedure , continuous development , energy flow , multivehicle scenarios , fuel tank , plug-in hybrid electric vehicles , intelligent transportation system , hybrid electric vehicles , electric energy storage , single-vehicle scenarios
Metadata by IET is licensed under CC BY 3.0
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