DocumentCode
442379
Title
PEM fuel cell modelization including durability considerations
Author
Jemeï, S. ; Harel, F. ; François, X. ; Candusso, D. ; Hissel, D. ; Péra, M.C. ; Kauffmann, J.-M.
Author_Institution
Lab. of Electr. Eng. & Syst., UTBM, France
Volume
2
fYear
2005
fDate
20-23 June 2005
Firstpage
933
Abstract
Modeling proton exchange membrane fuel cell is an important step in the development of electrical vehicle. Different strategies can be considered to reach this aim. This paper shows that among these strategies artificial neural networks (ANN) are a very efficient tool. Moreover, noticeable changes of fuel cell performances occur with ageing. ANN is a powerful tool to account for this complicated phenomenon.
Keywords
fuel cell vehicles; mechanical engineering computing; neural nets; proton exchange membrane fuel cells; ANN; PEM fuel cell; artificial neural networks; electrical vehicle; proton exchange membrane fuel cell; Aging; Artificial neural networks; Biomembranes; Fuel cell vehicles; Fuel cells; Global warming; Laboratories; Polarization; Protons; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, 2005. ISIE 2005. Proceedings of the IEEE International Symposium on
Conference_Location
Dubrovnik, Croatia
Print_ISBN
0-7803-8738-4
Type
conf
DOI
10.1109/ISIE.2005.1529023
Filename
1529023
Link To Document