Title :
State of the art power management algorithms for hybrid electric vehicles
Author :
Gurkaynak, Yusuf ; Khaligh, Alireza ; Emadi, Ali
Author_Institution :
Electr. Power & Power Electron. Center, Illinois Inst. of Technol., Chicago, IL, USA
Abstract :
Hybrid electric vehicles are proposed to reduce the fuel consumption and emission while sustaining performance of the vehicle. The key point to use the full potential of hybridization is designing a proper supervisory control strategy, which manages how to split the demanded power between energy sources in the most efficient and optimum way. This paper compares and classifies control strategies according to their dynamic structure, complexness, applicability and performance.
Keywords :
hybrid electric vehicles; optimal control; road vehicles; fuel consumption; hybrid electric vehicles; power management algorithms; supervisory control strategy; Automotive engineering; Control systems; Diesel engines; Energy management; Fuels; Hybrid electric vehicles; Ice; Internal combustion engines; Propulsion; Topology; control strategies; hybrid electric vehicles; optimization based control; rule based control;
Conference_Titel :
Vehicle Power and Propulsion Conference, 2009. VPPC '09. IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
978-1-4244-2600-3
Electronic_ISBN :
978-1-4244-2601-0
DOI :
10.1109/VPPC.2009.5289823
