NDLI: Black-box modeling of proton exchange membrane fuel cell generators

Content Provider	IEEE Xplore Digital Library
Author	Jemei, S. Hissel, D. Pera, M.C. Kauffmann, J.M.
Copyright Year	2002
Description	Author affiliation: Lab. of Electr. Eng. & Syst., UTBM- UFC Res. Unit associated to the INRETS, Belfort, France (Jemei, S.; Hissel, D.; Pera, M.C.; Kauffmann, J.M.)
Abstract	Proton exchange membranes are one of the most promising fuel cell technologies for transportation applications. Considering this aim, a simulation model of the whole fuel cell system is a binding milestone. This would lead in the optimization possibility of the complete vehicle (including auxiliaries, output electrical converter and their control laws). So a "minimal behavioral model" of a fuel cell system, able to evaluate the output variables and their variations, is presented in this paper. In a fuel cell system, electrical quantities are dependent both on the fuel cell power level and also on the auxiliaries and gases used. Artificial neural networks are here used to model the whole system. To carry out an efficient model, it is necessary to identify the number and the nature of input and output parameters. The proposed model is implemented on Matlab/Simulink/spl reg/ software and will be integrated in a complete vehicle powertrain. Thus, it is possible to carry out the development and the simulation of the command laws intended to manage the energy transfers aboard fuel cell vehicle.
Sponsorship	IEEE ice SICE Univ. Sevilla
Starting Page	1474
Ending Page	1478
File Size	354977
Page Count	5
File Format	PDF
ISBN	0780374746
DOI	10.1109/IECON.2002.1185496
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-11-05
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protons Biomembranes Fuel cells Mathematical model Power system modeling Vehicles Transportation Electric variables control Gases Artificial neural networks
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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