PEM Fuel Cell Modelling Using Artificial Neural Networks

Mamadou Lamine Doumbia

Makale detayları

PEM Fuel Cell Modelling Using Artificial Neural Networks

Yazarlar:

Mamadou Lamine Doumbia

Yayıncı:

İlhami ÇOLAK

Dergi:

International Journal Of Renewable Energy Research 2014 Vol.4 Issue 3, pp.725-730

Belge Tipi:

Makale

Yayın Tarihi:

8/2014

Belge Dili:

İngilizce

Document ID (Org No.):

2000818597

Sıklık:

Aylık

pISSN:

1309-0127

Özet:

 

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.

Makale detayları

PEM Fuel Cell Modelling Using Artificial Neural Networks

Yazarlar: Mamadou Lamine Doumbia

Yayıncı: İlhami ÇOLAK

Dergi: International Journal Of Renewable Energy Research 2014 Vol.4 Issue 3, pp.725-730

Belge Tipi: Makale

Yayın Tarihi: 8/2014

Belge Dili: İngilizce

Document ID (Org No.): 2000818597

Sıklık: Aylık

pISSN: 1309-0127

Sayı

Yazarlar:

Mamadou Lamine Doumbia

Yayıncı:

İlhami ÇOLAK

Dergi:

International Journal Of Renewable Energy Research 2014 Vol.4 Issue 3, pp.725-730

Belge Tipi:

Makale

Yayın Tarihi:

8/2014

Belge Dili:

İngilizce

Document ID (Org No.):

2000818597

Sıklık:

Aylık

pISSN:

1309-0127