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Conference Papers Year : 2013

Signed Bond Graph for health monitoring of PEM fuel cell

Nizar Chatti
  • Function : Author
Belkacem Ould Bouamama
  • Function : Author
  • PersonId : 933245
Anne-Lise Gehin
Rochdi Merzouki


To guarantee the safe operation of the Fuel Cell (FC) systems, it is necessary to use systematic techniques to detect and isolate faults for diagnosis purposes. The problematic for Fault Detection and Isolation (FDI) model-based of fuel cell consists in that such system is bad instrumented, its model is complex (because of coupling of multi-physical phenomena such as electrochemical, electrical, thermo fluidic...) and the numerical values related to it are not always known. This is why qualitative model (based on existence or not of the links between variables and the relations) is well suited for fuel cell diagnosis. In this paper, we propose a new graphical model (named Signed Bond Graph) allowing to combine both qualitative and quantitative features for health monitoring (in terms of diagnosis and prognosis) of the fuel cell. The innovative interest of the presented paper is the use of only one representation for not only structural model but also diagnosis of faults which may affect the fuel cell. The developed theory is illustrated by an application to a Proton Exchange Membrane Fuel Cell (PEMFC).


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Dates and versions

hal-00808581 , version 1 (05-04-2013)


  • HAL Id : hal-00808581 , version 1


Nizar Chatti, Belkacem Ould Bouamama, Anne-Lise Gehin, Rochdi Merzouki. Signed Bond Graph for health monitoring of PEM fuel cell. 5th International Conference of Development of Fuel Cells, Apr 2013, Karlsruhe, Germany. 6 p. ⟨hal-00808581⟩
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