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
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;
Conference_Titel :
Industrial Electronics, 2005. ISIE 2005. Proceedings of the IEEE International Symposium on
Conference_Location :
Dubrovnik, Croatia
Print_ISBN :
0-7803-8738-4
DOI :
10.1109/ISIE.2005.1529023
