Aging Tolerant Control of Proton Exchange Membrane Fuel Cell: a Model-Based Approach

Mathieu Bressel (1) , Mickaël Hilairet (2) , Daniel Hissel (2) , Belkacem Bouamama (1)

1 MOCIS - Méthodes et Outils pour la Conception Intégrée de Systèmes
2 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)

Proton Exchange Membrane Fuel Cells are promising energy converters that allow to power 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 Maximum Power Point Tracking algorithm which allows to identify the maximum power the fuel cell is able to provide at each time.

Domaines: Energie électrique; Thermique [physics.class-ph]; Automatique / Robotique; Mécanique des fluides [physics.class-ph]

Mathieu Bressel, Mickaël Hilairet, Daniel Hissel, Belkacem Bouamama. Aging Tolerant Control of Proton Exchange Membrane Fuel Cell: a Model-Based Approach. International Workshop on Advanced Control and Diagnosis, Nov 2017, Bucharest, Romania. ⟨hal-02868309⟩