DocumentCode :
243975
Title :
An Intelligent Energy Management Strategy of Hybrid Vehicles Based on Traffic Preview Information
Author :
Chunhua Zheng ; Guoqing Xu ; Suk Won Cha
Author_Institution :
Automotive Electron. Res. Center, Shenzhen Inst. of Adv. Technol., Shenzhen, China
fYear :
2014
fDate :
18-21 May 2014
Firstpage :
1
Lastpage :
4
Abstract :
Traffic preview information is helpful when constructing energy management strategies for hybrid vehicles. In this paper, an optimal control theory-based energy management strategy for fuel cell hybrid vehicles is proposed, which optimizes the vehicle´s velocity profile when minimizing the fuel consumption based on the traffic preview information. The control problem is formulated and the proposed energy management strategy is applied to a fuel cell hybrid vehicle in a computer simulation environment. Simulation results show that the fuel economy is improved by the proposed energy management strategy compared to the case where the vehicle velocity is not optimized.
Keywords :
energy management systems; fuel optimal control; hybrid electric vehicles; traffic information systems; fuel cell hybrid vehicles; fuel consumption; intelligent energy management strategy; optimal control theory; traffic preview information; vehicles velocity profile; Batteries; Benchmark testing; Energy management; Fuel economy; Optimal control; System-on-chip; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2014 IEEE 79th
Conference_Location :
Seoul
Type :
conf
DOI :
10.1109/VTCSpring.2014.7022825
Filename :
7022825
Link To Document :
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