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Technical Briefs

Inversion-Based Control of a Proton Exchange Membrane Fuel Cell System Using Energetic Macroscopic Representation

[+] Author and Article Information
Daniela Chrenko1

FCLAB, Femto-ST, UmR 6174, University of Franche-Comté, Technolm, EA 38 98 Rue Thierry Mieg, 90010 Belfort Cedex, Francedaniela.chrenko@utbm.fr

Marie-Cécile Péra

FCLAB, Femto-ST, UmR 6174, University of Franche-Comté, Technolm, EA 38 98 Rue Thierry Mieg, 90010 Belfort Cedex, Francemarie-cecile.pera@univ-fcomte.fr

Daniel Hissel

FCLAB, Femto-ST, UmR 6174, University of Franche-Comté, Technolm, EA 38 98 Rue Thierry Mieg, 90010 Belfort Cedex, Francedaniel.hissel@univ-fcomte.fr

Alain Bouscayrol

L2EP, University of Lille (USTL), Villeneuve d’Ascq 59650, Francealain.bouscayrol@univ-lille1.fr

The fuel cell current is the value demanded from the system by the load and is well known. By the Faraday law the fuel cell current and the amount of oxygen for the reaction are connected. The amount of air depends linearly on the amount of oxygen.

1

Corresponding author.

J. Fuel Cell Sci. Technol 6(2), 024501 (Feb 24, 2009) (5 pages) doi:10.1115/1.2971133 History: Received June 15, 2007; Revised December 11, 2007; Published February 24, 2009

This paper introduces a fuel cell system model based on energetic macroscopic representation (EMR). EMR is a causal graphic modeling approach to describe complex multidomain systems, which facilitates inversion-based control structure development called maximum control structure (MCS). The EMR model is derived for a commercially available fuel cell system and corresponds well with experimental results. An inversion-based control is proposed for the air supply subsystem. The control corresponds well with the unknown internal control. The application of EMR and MCS marks a promising approach: Control structure development based on experience is replaced by a systematic approach. This is especially meaningful for complex multidomain systems such as fuel cell systems.

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Copyright © 2009 by American Society of Mechanical Engineers
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Figures

Grahic Jump Location
Figure 1

Model of a fuel cell system in EMR

Grahic Jump Location
Figure 2

Results of a fuel cell system model with air supply control in EMR

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