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Neural network modeling of proton exchange membrane fuel cell / Puranik, S.V. in IEEE transactions on energy conversion, Vol. 25 N° 2 (Juin 2010) 

Public ISBD [article]  in IEEE transactions on energy conversion > Vol. 25 N° 2 (Juin 2010) . - pp. 474 - 483 Titre : Neural network modeling of proton exchange membrane fuel cell Type de document : texte imprimé Auteurs : Puranik, S.V., Auteur ; Keyhani, A., Auteur ; Khorrami, F., Auteur Année de publication : 2010 Article en page(s) : pp. 474 - 483 Note générale : energy conversion Langues : Anglais (eng) Mots-clés : neural  nets;  proton  exchange  membrane  fuel  cells Résumé : This paper proposes a neural network model of a 500-W proton exchange membrane (PEM) fuel cell. The nonlinear autoregressive moving average model of the PEM fuel cell with external inputs is developed using the recurrent neural networks. The data required to train the neural network model is generated by simulating the nonlinear state space model of the 500-W PEM fuel cell. It is shown that the two-layer neural network, with a hyperbolic tangent sigmoid function, as an activation function, in the first layer, and a pure linear function, as an activation function, in the second layer can effectively model the nonlinear dynamics of the PEM fuel cell. After model is trained and validated, it is used to analyze the dynamic behavior of the PEM fuel cell. Finally, the effect of measurement noise on the performance of the neural network model is investigated, and the results are shown. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5437311&sortType%3Das [...] [article] Neural network modeling of proton exchange membrane fuel cell [texte imprimé] / Puranik, S.V., Auteur ; Keyhani, A., Auteur ; Khorrami, F., Auteur . - 2010 . - pp. 474 - 483. energy conversion Langues : Anglais (eng) in IEEE transactions on energy conversion > Vol. 25 N° 2 (Juin 2010) . - pp. 474 - 483 Mots-clés : neural  nets;  proton  exchange  membrane  fuel  cells Résumé : This paper proposes a neural network model of a 500-W proton exchange membrane (PEM) fuel cell. The nonlinear autoregressive moving average model of the PEM fuel cell with external inputs is developed using the recurrent neural networks. The data required to train the neural network model is generated by simulating the nonlinear state space model of the 500-W PEM fuel cell. It is shown that the two-layer neural network, with a hyperbolic tangent sigmoid function, as an activation function, in the first layer, and a pure linear function, as an activation function, in the second layer can effectively model the nonlinear dynamics of the PEM fuel cell. After model is trained and validated, it is used to analyze the dynamic behavior of the PEM fuel cell. Finally, the effect of measurement noise on the performance of the neural network model is investigated, and the results are shown. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5437311&sortType%3Das [...]

State-space modeling of proton exchange membrane fuel cell / Puranik, S.V. in IEEE transactions on energy conversion, Vol. 25, N° 3 (Septembre 2010) 

Public ISBD [article]  in IEEE transactions on energy conversion > Vol. 25, N° 3 (Septembre 2010) . - pp. 804 - 813 Titre : State-space modeling of proton exchange membrane fuel cell Type de document : texte imprimé Auteurs : Puranik, S.V., Auteur ; Keyhani, A., Auteur ; Khorrami, F., Auteur Année de publication : 2011 Article en page(s) : pp. 804 - 813 Note générale : energy conversion Langues : Anglais (eng) Mots-clés : Proton  exchange  membrane  fuel  cells;  state-space  methods Résumé : In this paper, a nonlinear state-space model of the 500-W proton exchange membrane (PEM) fuel cell is developed. The open-circuit output voltage of the PEM fuel cell, mass balance, and thermodynamic energy balance inside the PEM fuel cell, voltage losses in the PEM fuel cell, along with the formation of a double layer charge in the PEM fuel cell system are modeled. The model is simulated in MATLAB/Simulink, and the transient response of the PEM fuel cell model over short and long time periods is analyzed. Also, the behavior of the model under the resistive load is studied, and the results are shown. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5499038&sortType%3Das [...] [article] State-space modeling of proton exchange membrane fuel cell [texte imprimé] / Puranik, S.V., Auteur ; Keyhani, A., Auteur ; Khorrami, F., Auteur . - 2011 . - pp. 804 - 813. energy conversion Langues : Anglais (eng) in IEEE transactions on energy conversion > Vol. 25, N° 3 (Septembre 2010) . - pp. 804 - 813 Mots-clés : Proton  exchange  membrane  fuel  cells;  state-space  methods Résumé : In this paper, a nonlinear state-space model of the 500-W proton exchange membrane (PEM) fuel cell is developed. The open-circuit output voltage of the PEM fuel cell, mass balance, and thermodynamic energy balance inside the PEM fuel cell, voltage losses in the PEM fuel cell, along with the formation of a double layer charge in the PEM fuel cell system are modeled. The model is simulated in MATLAB/Simulink, and the transient response of the PEM fuel cell model over short and long time periods is analyzed. Also, the behavior of the model under the resistive load is studied, and the results are shown. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5499038&sortType%3Das [...]