Diagnosis of PEM fuel cell stack based on magnetic fields measurements

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 19, Issue , 2014, Pages 11482-11487

  Hamaz, T ^a,b,c   Cadet, C ^a,b   Druart, F ^c   Cauffet, G ^a,b  

^a UNIV GRENOBLE ALPES   (France)

^b CNRS   (France)

^c LEPMI   (France)

Author keywords

Fault diagnosis; Magnetic fields; Pattern recognition; PEM fuel cells; Residual analysis

Indexed keywords

AUTOMATION; CURRENT DENSITY; FAILURE ANALYSIS; FAULT DETECTION; MAGNETIC FIELDS; PATTERN RECOGNITION; SENSOR NETWORKS;

CURRENT DENSITY DISTRIBUTION; MAGNETIC FIELDS MEASUREMENTS; PEM FUEL CELL; PEM FUEL CELL SYSTEM; PERFORMANCE DEGRADATION; RESIDUAL ANALYSIS; STOICHIOMETRIC RATIO; VIRTUAL MEASUREMENTS;

PROTON EXCHANGE MEMBRANE FUEL CELLS (PEMFC);

EID: 84929792041     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20140824-6-za-1003.01004     Document Type: Conference Paper

References (12)

1. Aitouche, A., Q. Yang, B. Ould Bouamama (2011). Fault Detection and Isolation of PEM Fuel Cell System based on Nonlinear Analytical Redundancy: An application via Parity Space Approach, The European Physical Journal Applied Physics, 54(02), 23408-19
2. Borup, R.; Meyers, J.; Pivovar, B.; Kim, Y.S.; Mukundan, R.; Garland, N.; et al. (2007) Scientific aspects of polymer electrolyte fuel cell durability and degradation. Chem. Rev., 107, 3904-3951.
3. Chikahisa T., Y. Tabe, Kikuta K., Nohara N. (2009). Measurement of water production phenomena, temperature, and current density distributions in a pomymer electrolyte fuel cell. Proceedings of the ASME 2009 Conference on Smart Materials, Adaptive Structures and Intelligent Systems SMASIS2009, September 21-23, Oxnard, California, USA
4. De Lira. S, Puig, V, Quevedo, J. (2010), Robust LPV modelbased sensor fault diagnosis and estimation for a PEM fuel cell system. Control and fault-tolerant systems Conference (SysTol), Nice, France, 819-824.
5. Durand E., Tome Magnétostatique, 1968, Edition MASSON, Paris, France.
6. Görgün H., M. Arcak, and F. Barbir. (2005). A voltage-based observer design for membrane water content in PEM fuel cells, IEEE ACC, Portland, USA, 4796-4801
7. Hauer K.H., Potthast R., Wuster T., Stolten D. (2005). Magnetomoghraphy - a new method for analysing fuel cell performance and quality. J. Power Sources, 143, 67-74
8. Isermann. R (2005). Fault-Diagnosis system systems, an introduction from Fault Detection to Fault Tolerance, Edition Springer, Berlin
9. Le Ny M. (2012). Diagnostic non invasif de piles à combustible par mesure du champ magnétique proche. PhD thesis, Grenoble-INP, France
10. Rubio M.A., A. Urquia, S. Dormido (2007). Diagnosis of PEM Fuel Cells through Current Interruption. Journal of Power Sources, 171, 670-677.
11. Schmittinger W., A. Vahidi (2008). A review of the main parameters influencing long-term performance and durability of PEM fuel cells. J. Power Sources, 180, 1-14.
12. Yousfi Steiner, N., D. Candusso, D. Hissel, P. Moçoteguy (2010). Model-based diagnosis for proton exchange membrane fuel cells Polymer Electrolyte Fuel Cells. Mathematics and Computers in Simulation, 81, 158-170