Title :
Design methodology of fuel cell electric vehicle power system
Author :
Liu, Xiaofeng ; Diallo, Demba ; Marchand, Claude
Author_Institution :
CNRS, Univ. Paris-Sud 11, Gif-sur-Yvette
Abstract :
This paper develops a methodology to optimize the sizing of the power components in a fuel cell electric vehicle from the driving cycle and the specified acceleration performance. The fuel cell and the energy storage system associated (battery or/and ultra capacitor) design parameters are the numbers of series and parallel branches respectively Nsi and Npi. They are set so as to minimize an objective function which includes mass, cost and a penalty function. The solution must fulfill the performance requirements and respect the constraints on each power component. The methodology is based on a judicious combination of Matlab-Simulinkreg and a dedicated software tool Pro@Designreg well suited to treat inverse problems. An application in a fuel cell/battery power train illustrates the feasibility of the proposed methodology.
Keywords :
energy storage; fuel cell vehicles; Matlab-Simulink; acceleration performance; driving cycle; energy storage system; fuel cell electric vehicle power system; fuel cell/battery power train; inverse problems; objective function; power components; software tool Pro@Design; Acceleration; Batteries; Capacitors; Cost function; Design methodology; Electric vehicles; Energy storage; Fuel cells; Optimization methods; Power systems;
Conference_Titel :
Electrical Machines, 2008. ICEM 2008. 18th International Conference on
Conference_Location :
Vilamoura
Print_ISBN :
978-1-4244-1735-3
Electronic_ISBN :
978-1-4244-1736-0
DOI :
10.1109/ICELMACH.2008.4800034