NDLI: Optimal powertrain component sizing of a fuel cell plug-in hybrid electric vehicle using multi-objective genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Jain, M. Desai, C. Kharma, N. Williamson, S.S.
Copyright Year	2009
Description	Author affiliation: Power Electronics and Energy Research (PEER) Group P. D. Ziogas Power Electronics Laboratory, Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. W., Montreal, Quebec H3G 1M8, Canada (Jain, M.; Desai, C.; Kharma, N.; Williamson, S.S.)
Abstract	Considerable efforts have been made recently to develop a completely zero-emission and highly fuel efficient vehicle. Due to clean and efficient power generation, the hydrogen fed fuel cell vehicle (FCVs) has received considerable attention. However, major obstacles such as cost of the hydrogen infrastructure, driving range, and cost of the fuel cell greatly influence FCV development. At the same time, proper utilization of grid power, along with a modified electrical system infrastructure, would encourage automakers to envisage plug-in versions of fuel cell vehicles. This paper presents the optimal powertrain component sizing of a fuel cell plug-in hybrid electric (FC-PHEV) vehicle, comprised of a fuel cell with electrolyser, Ni-MH battery as secondary energy storage, and a propulsion motor. Such a PHEV architecture provides an additional degree of freedom, as the gird power can be used to recharge batteries, or for the electrolysis of water, to generate hydrogen and oxygen, which increases the driving range of vehicle as well as the overall powertrain efficiency. Hence, the overall performance and efficiency are much superior when compared to ordinary PHEV or FC-HEV powertrains. This paper uses a small vehicle power train for modelling and simulation purposes. Optimal sizing of the power train components using multi-objective genetic algorithm will be presented. Moreover, overall vehicle performance and fuel economy for different driving loads will also be analysed. Finally, an overall cost analysis will also be presented.
Starting Page	3741
Ending Page	3746
File Size	717299
Page Count	6
File Format	PDF
ISBN	9781424446483
ISSN	1553572X
e-ISBN	9781424446506
DOI	10.1109/IECON.2009.5415111
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-03
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mechanical power transmission Fuel cells Hybrid electric vehicles Genetic algorithms Hydrogen Fuel cell vehicles Costs Power generation Battery powered vehicles Vehicle driving road vehicles Electric vehicles efficiency fuel cells modelling power electronics
Content Type	Text
Resource Type	Article

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