DocumentCode
2728711
Title
Optimization of a power electronic structure for hybrid Fuel Cell/Ultracapacitors vehicle
Author
Kamali-Nejad, M. ; Azib, T. ; Remy, G. ; Bethoux, O. ; Marchand, C.
Author_Institution
Lab. de Genie Electr. de Paris (LGEP), Univ. Pierre et Marie Curie, Gif-sur-Yvette, France
fYear
2010
fDate
1-3 Sept. 2010
Firstpage
1
Lastpage
6
Abstract
This paper deals with the optimization of a parallel hybrid Fuel Cell (FC)/ Ultracapacitors (UCs) power source for automotive applications. The aim of this hybridization and its control are to fulfil the load requirements as well as to comply with the component constraints (high efficiency, reduced weight and cost, etc.). First, a classical hybrid architecture using FC/UCs and a two-converter structure is presented. After that, power requirements for automotive applications are analyzed, and the load power demands for the FC/UCs sources are deduced. Secondly, the model-based design approach is used for the optimization, and a selection of the main components to be optimized is presented. Thus, the simulation model and the control strategy are detailed. This model has been validated experimentally. Finally, an optimization algorithm is designed using Parallel Computing and the Genetic Algorithm toolbox of Matlab/Simulink. The retained criterion is based on the reduction of the total volume of the system.
Keywords
automotive electronics; fuel cell vehicles; genetic algorithms; hybrid electric vehicles; power convertors; supercapacitors; Matlab-Simulink; automotive electronics; control strategy; genetic algorithm; hybrid fuel cell vehicle; model-based design approach; optimization algorithm; parallel computing; power electronic structure optimisation; simulation model; two-converter structure; ultracapacitor vehicle; Fuel cells; Gallium; Hybrid power systems; Load modeling; Mathematical model; Optimization; Supercapacitors;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicle Power and Propulsion Conference (VPPC), 2010 IEEE
Conference_Location
Lille
Print_ISBN
978-1-4244-8220-7
Type
conf
DOI
10.1109/VPPC.2010.5729165
Filename
5729165
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