Title :
Multiple model control for hybrid power system of Fuel Cell Electric Vehicle
Author :
Xie Chang-jun ; Quan Shu-hai ; Chen Qi-hong
Author_Institution :
Coll. of Autom., Wuhan Univ. of Technol., Wuhan
Abstract :
Fuel Cell Electric Vehicle has a very good application foreground for it has some advantages, such as high efficiency and little emission, etc. In order to characterize the structure of hybrid power system for Fuel Cell Electric Vehicle, the project of parallel hybrid power system was brought forward, which consisted of Fuel Cell, NIH battery and DC/DC converter, and besides, the power flow chart of hybrid power system and energy management objective was especially analyzed. The issue for energy management of hybrid power system was converted to combinatorial optimization problem. The power flow chart of hybrid power system was analyzed in start-up mode, accelerating mode, cruising mode and braking mode and the respective control strategy of various mode was designed. The dynamic control and energy management strategy was designed by applying multi model control method based on fuzzy supervised rule, being differ from conventional compulsive switch strategy. In the end, the simulation results were presented, which show the effectiveness of the control strategy, for it can improve economy performance of vehicles in comparison with fuzzy control strategy.
Keywords :
DC-DC power convertors; combinatorial mathematics; control system analysis; control system synthesis; energy management systems; fuel cell vehicles; optimisation; DC/DC converter; NIH battery; accelerating mode; braking mode; combinatorial optimization problem; cruising mode; dynamic control; energy management; fuel cell electric vehicle; fuzzy supervised rule; hybrid power system; multiple model control; power flow chart; start-up mode; Batteries; Energy management; Fuel cells; Fuzzy control; Hybrid electric vehicles; Hybrid power systems; Load flow; Power system control; Power system modeling; Switches; Fuel Cell Electric Vehicle; energy management; fuzzy supervised rule; hybrid power system; multi model control strategy;
Conference_Titel :
Vehicle Power and Propulsion Conference, 2008. VPPC '08. IEEE
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-1848-0
Electronic_ISBN :
978-1-4244-1849-7
DOI :
10.1109/VPPC.2008.4677527