PEM fuel cell modelization including durability considerations

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.