Model-based aging tolerant control with ...
Type de document :
Article dans une revue scientifique
Titre :
Model-based aging tolerant control with power loss prediction of Proton Exchange Membrane Fuel Cell
Auteur(s) :
Bressel, Mathieu [Auteur]
Méthodes et Outils pour la Conception Intégrée de Systèmes [MOCIS]
Hilairet, Mickaël [Auteur]
Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) [FEMTO-ST]
Hissel, Daniel [Auteur]
Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) [FEMTO-ST]
Ould-Bouamama, Belkacem [Auteur]
Méthodes et Outils pour la Conception Intégrée de Systèmes [MOCIS]
Méthodes et Outils pour la Conception Intégrée de Systèmes [MOCIS]
Hilairet, Mickaël [Auteur]
Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) [FEMTO-ST]
Hissel, Daniel [Auteur]
Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) [FEMTO-ST]
Ould-Bouamama, Belkacem [Auteur]
Méthodes et Outils pour la Conception Intégrée de Systèmes [MOCIS]
Titre de la revue :
International Journal of Hydrogen Energy
Pagination :
11242 - 11254
Éditeur :
Elsevier
Date de publication :
2020
ISSN :
0360-3199
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Energie électrique
Physique [physics]/Mécanique [physics]/Thermique [physics.class-ph]
Sciences de l'ingénieur [physics]/Automatique / Robotique
Physique [physics]/Mécanique [physics]/Mécanique des fluides [physics.class-ph]
Physique [physics]/Mécanique [physics]/Thermique [physics.class-ph]
Sciences de l'ingénieur [physics]/Automatique / Robotique
Physique [physics]/Mécanique [physics]/Mécanique des fluides [physics.class-ph]
Résumé en anglais : [en]
Proton Exchange Membrane Fuel Cells are promising energy converters that allow powering vehicles or buildings in a clean manner. Nevertheless, their performance are affected by faults and irreversible degradation mechanisms ...
Lire la suite >Proton Exchange Membrane Fuel Cells are promising energy converters that allow powering vehicles or buildings in a clean manner. Nevertheless, their performance are affected by faults and irreversible degradation mechanisms that are far from being fully understood. Consequently, during the last decade, researches have been conducted on the diagnostic of faults of this promising converter. Nevertheless, aging was never the subject of a particular attention concerning control. As a result, this paper proposes an aging tolerant control strategy for Proton Exchange Membrane Fuel Cells. It aims at generating the load current reference taking the state of health into account. Moreover, using a model inversion of an Energetic Macroscopic Representation with time-varying parameters, the coherent references of input flows of gas can be calculated. Finally, the paper details a method to identify and predict the maximum power the fuel cell is able to provide at present time based on a Maximum Power Point Tracking algorithm. Also this algorithm aims at forecasting the Remaining Useful Life for a given power reference. This method is validated on a simulation case.Lire moins >
Lire la suite >Proton Exchange Membrane Fuel Cells are promising energy converters that allow powering vehicles or buildings in a clean manner. Nevertheless, their performance are affected by faults and irreversible degradation mechanisms that are far from being fully understood. Consequently, during the last decade, researches have been conducted on the diagnostic of faults of this promising converter. Nevertheless, aging was never the subject of a particular attention concerning control. As a result, this paper proposes an aging tolerant control strategy for Proton Exchange Membrane Fuel Cells. It aims at generating the load current reference taking the state of health into account. Moreover, using a model inversion of an Energetic Macroscopic Representation with time-varying parameters, the coherent references of input flows of gas can be calculated. Finally, the paper details a method to identify and predict the maximum power the fuel cell is able to provide at present time based on a Maximum Power Point Tracking algorithm. Also this algorithm aims at forecasting the Remaining Useful Life for a given power reference. This method is validated on a simulation case.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :