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PEM Fuel Cell Modelling Using Artificial Neural Networks

Year 2014, Volume: 4 Issue: 3, 725 - 730, 01.09.2014

Mamadou Lamine Doumbia

https://izlik.org/JA95JA77ZK

Abstract

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

Year 2014, Volume: 4 Issue: 3, 725 - 730, 01.09.2014

Mamadou Lamine Doumbia

https://izlik.org/JA95JA77ZK

Abstract

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Details

Primary Language English
Authors

Mamadou Lamine Doumbia This is me

Publication Date September 1, 2014
IZ https://izlik.org/JA95JA77ZK
Published in Issue Year 2014 Volume: 4 Issue: 3

Cite

APA Doumbia, M. L. (2014). PEM Fuel Cell Modelling Using Artificial Neural Networks. International Journal Of Renewable Energy Research, 4(3), 725-730. https://izlik.org/JA95JA77ZK
AMA 1.Doumbia ML. PEM Fuel Cell Modelling Using Artificial Neural Networks. International Journal Of Renewable Energy Research. 2014;4(3):725-730. https://izlik.org/JA95JA77ZK
Chicago Doumbia, Mamadou Lamine. 2014. “PEM Fuel Cell Modelling Using Artificial Neural Networks”. International Journal Of Renewable Energy Research 4 (3): 725-30. https://izlik.org/JA95JA77ZK.
EndNote Doumbia ML (September 1, 2014) PEM Fuel Cell Modelling Using Artificial Neural Networks. International Journal Of Renewable Energy Research 4 3 725–730.
IEEE [1]M. L. Doumbia, “PEM Fuel Cell Modelling Using Artificial Neural Networks”, International Journal Of Renewable Energy Research, vol. 4, no. 3, pp. 725–730, Sept. 2014, [Online]. Available: https://izlik.org/JA95JA77ZK
ISNAD Doumbia, Mamadou Lamine. “PEM Fuel Cell Modelling Using Artificial Neural Networks”. International Journal Of Renewable Energy Research 4/3 (September 1, 2014): 725-730. https://izlik.org/JA95JA77ZK.
JAMA 1.Doumbia ML. PEM Fuel Cell Modelling Using Artificial Neural Networks. International Journal Of Renewable Energy Research. 2014;4:725–730.
MLA Doumbia, Mamadou Lamine. “PEM Fuel Cell Modelling Using Artificial Neural Networks”. International Journal Of Renewable Energy Research, vol. 4, no. 3, Sept. 2014, pp. 725-30, https://izlik.org/JA95JA77ZK.
Vancouver 1.Doumbia ML. PEM Fuel Cell Modelling Using Artificial Neural Networks. International Journal Of Renewable Energy Research [Internet]. 2014 Sept. 1;4(3):725-30. Available from: https://izlik.org/JA95JA77ZK