Mamadou Lamine Doumbia

109142

PEM Fuel Cell Modelling Using Artificial Neural Networks

PEM Fuel Cell Modelling Using Artificial Neural Networks

Fuel cells are electrochemical devices that convert the chemical energy of a reaction directly into dc electrical energy. Proton Exchange Membrane (PEM) fuel cell is a suitable alternative for both electrical transportation and stationary applications. In this article, an Artificial Neural Network (ANN) modelling approach of a PEM fuel cell is developed. This model describes the behaviour of PEM fuel cell voltage under both steady-state and transient conditions. Moreover, the prediction of the operating temperature of a PEM fuel cell based only on its measured voltage and current is proposed and tested. Indeed, experimental data from a 1.2 kW Nexa Ballard PEM fuel cell is used to validate the proposed method.

Keywords:

Neural network; Thermal model; Polymer electrolyte fuel cells; green energy; distributed sources,

International Journal Of Renewable Energy Research-Cover

ISSN: 1309-0127
Başlangıç: 2015
Yayıncı: İlhami ÇOLAK

Arşiv

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