Robust Diagnosis of a Proton Exchange Membrane Fuel Cell Using Bond Graph Methodology – Physical and Electrical Faults Detection and Isolation

• Autorzy: Sallami Abderrahmene , Mzoughi Dhia , Allagui Hatem , Mami Abdelkader

Identyfikatory

DOI

10.12913/22998624/111704

• Języki publikacji: EN

Abstrakty

EN

Fuel cells are currently experiencing an invigorating resurgence, both at the industrial and research levels. Diagnosis of stack performance is of importance for proton exchange membrane fuel cell (PEMFC) research. In this paper, a bond graph (BG) approach was used for modelling, simulation and robust diagnosis of a PEMFC. In literature, several PEMFC diagnosis methodologies were outlined in terms of efficiency and applicability. This paper described the linear fractional transformations (LFT) method to make it capable for handling the PEMFC diagnostics; an approach based on LFT-BG was developed to diagnose hydration and cells deterioration faults that may occur within a fuel cell. Simulation and experimental diagnostic testing results of a 1.2 kW Nexa fuel cell were presented and used to show the dynamic behaviour of the system variables and assessing the performance of the observer.

Słowa kluczowe

EN

robust diagnosis; bond graph approach; PEM fuel cell; linear fractional transformation; performance of the observer

PL

solidna diagnoza; podejście do wykresu wiązań; ogniwo paliwowe PEM; liniowe transformacje ułamkowe; ocena wyników obserwatora

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2019
• Tom: Vol. 13, no 4
• Strony: 194--203
• Opis fizyczny: Bibliogr. 28 poz., fig.

Twórcy

autor

Sallami Abderrahmene

• Analysis, Design and Control Systems Laboratory, Faculty of Sciences of Tunis, Tunis El Manar University, Tunisia

autor

Mzoughi Dhia

• Analysis, Design and Control Systems Laboratory, Faculty of Sciences of Tunis, Tunis El Manar University, Tunisia

autor

Allagui Hatem

• Analysis, Design and Control Systems Laboratory, Faculty of Sciences of Tunis, Tunis El Manar University, Tunisia

autor

Mami Abdelkader

• Analysis, Design and Control Systems Laboratory, Faculty of Sciences of Tunis, Tunis El Manar University, Tunisia

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).