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Communication Dans Un Congrès Année : 2005

PEM Fuel Cell Modelization including Durability considerations

Résumé

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.
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Dates et versions

hal-00412424 , version 1 (01-09-2009)

Identifiants

  • HAL Id : hal-00412424 , version 1

Citer

Samir Jemei, Fabien Harel, Xavier François, Denis Candusso, Daniel Hissel, et al.. PEM Fuel Cell Modelization including Durability considerations. International Symposium on Industrial Electronics, ISIE'05 IEEE, Jun 2005, Dubrovnik, Croatia. pp. 833-838. ⟨hal-00412424⟩
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