Title :
Control algorithm of fuel cell/battery hybrid vehicular power system
Author :
Li, Xiangjun ; Xu, Liangfei ; Hua, Jianfeng ; Li, Jianqiu ; Ouyang, Minggao
Author_Institution :
State Key Lab. of Automotive Safety & Energy, Tsinghua Univ., Beijing
Abstract :
In this paper, a control strategy for a vehicular power system combined with a proton exchange membrane fuel cell and a battery energy system (BES) has been presented. The control, witch takes into account the slow dynamic of fuel cell and the state of charge (SOC) of BES, is investigated based on the proposed fuzzy logic control (FLC) for the vehicular power system. Fuel cell output power was determined according to the driving load requirement and the SOC, using fuzzy dynamic decision-making and fuzzy self-organizing concepts. Analysis of simulation results is discussed by Matlab/Simulink software to verify the effectiveness of the proposed control strategy. The control scheme can be used to improve the operational efficiency of hybrid power system.
Keywords :
battery powered vehicles; control engineering computing; decision making; fuel cell vehicles; fuzzy control; mathematics computing; proton exchange membrane fuel cells; Matlab-Simulink software; battery energy system; battery hybrid vehicular power system; control strategy; driving load requirement; fuel cell vehicular power system; fuzzy dynamic decision-making; fuzzy logic control; fuzzy self-organizing concepts; proton exchange membrane fuel cell; state of charge; Batteries; Control systems; Fuel cells; Hybrid power systems; Power system control; Power system dynamics; Power system simulation; Power systems; Protons; Vehicle dynamics; PEM fuel cell; energy storage system; fuzzy logic controller and dynamic modeling; renewable energy;
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.2008.4677613
