DocumentCode :
2994999
Title :
Power split control strategy for a series Hybrid Electric Vehicle using fuzzy logic
Author :
Liu, Xudong ; Wu, Yanping ; Duan, Jianmin
Author_Institution :
Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing
fYear :
2008
fDate :
1-3 Sept. 2008
Firstpage :
481
Lastpage :
486
Abstract :
Hybrid electric vehicle (HEV) is considered as the most promising solution to energy crisis and urban air pollution. However, it is a complex electro-mechanical system which is difficult to construct an accurate mathematical model. Fuzzy logic seems to be appropriate for the HEV control problem. In this paper, a fuzzy logic control strategy (FLCS) is developed for a series hybrid electric vehicle designed for campus and gymnasium. Based on the state-of-charge (SOC) of the batteries and the power information, the power required by the vehicle is split between the engine/generator set and the batteries instantaneously by the FLCS. The SOC of the batteries can be maintained always at a high level and the engine can steadily work in its high efficiency area. A forward simulation model for the vehicle is established, and both off-line and real-time simulations are performed. Simulation results show that the FLCS can realize constant SOC control, and fuel consumption and emissions are also considered by the FLCS.
Keywords :
fuel cell vehicles; fuzzy control; hybrid electric vehicles; SOC control; batteries; engine/generator set; forward simulation model; fuel consumption; fuzzy logic control strategy; hybrid electric vehicle; power information; power split control strategy; state-of-charge; Air pollution; Batteries; Engines; Fuels; Fuzzy logic; Hybrid electric vehicles; Load flow; Mathematical model; Power generation; Vehicle driving; constant SOC control; control strategy; fuzzy logic; hybrid electric vehicle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
Type :
conf
DOI :
10.1109/ICAL.2008.4636199
Filename :
4636199
Link To Document :
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