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

Autor: Olteanu, Severus, Aitouche, Abdel, Belkoura, Lotfi, Nakrachi, Aziz
Přispěvatelé: Systèmes Tolérants aux Fautes (STF), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Systèmes Non Linéaires et à Retards (SyNeR)
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: FDFC 2013, 5th International conference on "Fundamentals & Development of Fuel Cells
FDFC 2013, 5th International conference on "Fundamentals & Development of Fuel Cells; Mean value theorem
FDFC 2013, 5th International conference on "Fundamentals & Development of Fuel Cells; Mean value theorem, Apr 2013, Karlsruhe, Germany. pp.1-9
Popis: International audience; 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.
Databáze: OpenAIRE