Titre :

Robust estimation for P.E.M. fuel cell ystems

Auteur(s) :

Olteanu, Severus [Auteur]
Aitouche, Abdel [Auteur]
Systèmes Tolérants aux Fautes [STF]
Belkoura, Lotfi [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Nakrachi, Aziz [Auteur]
Systèmes Tolérants aux Fautes [STF]

Titre de la manifestation scientifique :

FDFC 2013, 5th International conference on "Fundamentals & Development of Fuel Cells; Mean value theorem

Ville :

Karlsruhe

Pays :

Allemagne

Date de début de la manifestation scientifique :

2013-04-16

Titre de l’ouvrage :

FDFC 2013, 5th International conference on "Fundamentals & Development of Fuel Cells

Date de publication :

2013-04-18

Mot(s)-clé(s) :

Robust estimation

Mot(s)-clé(s) en anglais :

nonlinear observer
PEM Fuel cell

Discipline(s) HAL :

Sciences de l'ingénieur [physics]/Automatique / Robotique

Résumé en anglais : [en]

In this paper a model based state estimation is developed using the Mean Value Theorem with Bounded Jacobian. The case of additive perturbations is also treated. This method is afterwards applied to a Fuel Cell Stack System ...
Lire la suite >In this paper a model based state estimation is developed using the Mean Value Theorem with Bounded Jacobian. The case of additive perturbations is also treated. This method is afterwards applied to a Fuel Cell Stack System (FCSS). The main type of fuel cell on which this work is concentrated is the Polymer Electrolyte Membrane (Proton Exchange Membrane) that uses a Nafilon 117 membrane. The model presents some simplifications considering only pure Oxygen as input and also an ideal humidifying and cooling unit. The numerical problem of the disequilibrium between small mass values and big pressure values is resolved by constructing a symmetric system. Numerical results show the effectiveness of our approach.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL