A review on model-based diagnosis methodologies for PEMFCs

International Journal of Hydrogen Energy

Volumn 38, Issue 17, 2013, Pages 7077-7091

  Petrone, R ^a,b   Zheng, Z ^b   Hissel, D ^b   Pera M C ^b   Pianese, C ^a   Sorrentino, M ^a   Becherif, M ^b   Yousfi Steiner, N ^b,c  

^a UNIVERSITY OF SALERNO   (Italy)

^b UNIVERSITÉ DE FRANCHE COMTÉ   (France)

^c KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

Fault detection isolation; Model based; On line diagnosis; PEMFC

Indexed keywords

FAULT DETECTION AND ISOLATION; FAULT DETECTION ISOLATIONS; MODEL BASED APPROACH; MODEL BASED DIAGNOSIS; MODEL-BASED; MONITORING AND DIAGNOSIS; ON-LINE DIAGNOSIS; PROTON EXCHANGE MEMBRANE FUEL CELL SYSTEMS;

DIAGNOSTIC PRODUCTS; ENERGY CONVERSION;

PROTON EXCHANGE MEMBRANE FUEL CELLS (PEMFC);

EID: 84878111094     PISSN: 03603199     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijhydene.2013.03.106     Document Type: Review

References (61)

1. N. Yousfi-Steiner, P. Moçotéguy, D. Candusso, D. Hissel, A. Hernandez, and A. Aslanides A review on PEM voltage degradation associated with water management: impacts, influent factors and characterization Journal of Power Sources 183 2008 260 274
2. N. Yousfi-Steiner, P. Moçotéguy, D. Candusso, and D. Hissel A review on polymer electrolyte membrane fuel cell catalyst degradation and starvation issues: causes, consequences and diagnostic for mitigation Journal of Power Sources 194 2009 130 145
3. S.D. Knights, K.M. Colbow, J. St-Pierre, and D.P. Wilkinson Aging mechanisms and lifetime of PEFC and DMFC Journal of Power Sources 127 2004 127 134
4. W. Schmittinger, and A. Vahidi A review of the main parameters influencing long-term performance and durability of PEM fuel cells Journal of Power Sources 180 2008 1 14
5. J. Wu, X.Z. Yuan, J.J. Martin, H. Wang, J. Zhang, and J. Shen A review of PEM fuel cell durability: degradation mechanisms and mitigation strategies Journal of Power Sources 184 2008 104 119
6. S.X. Ding Model-based fault diagnosis techniques: design schemes, algorithms, and tools 2008 Springer-Verlag Berlin/Heidelberg
7. T. Escobet, D. Feroldi, S. de Lira, V. Puig, J. Quevedo, and J. Riera Model-based fault diagnosis in PEM fuel cell systems Journal of Power Sources 192 1 2009 216 223
8. I. Arsie, A. Di Filippi, D. Marra, C. Pianese, and M. Sorrentino Fault tree analysis aimed to design and implement on-field fault detection and isolation schemes for SOFC systems ASME. 8th International Conference on Fuel Cell Science, Engineering and Technology 1 2010 1 11
9. R. Isermann Supervision, fault-detection and fault-diagnosis methods - an introduction Control Engineering Practice 5 1997 639 652
10. M. Buchholz, M. Eswein, and V. Krebs Modelling PEM fuel cell stacks for FDI using linear subspace identification IEEE. Conference on Control Applications 2008 341 346
11. I. Arsie, A. Di Domenico, C. Pianese, and M. Sorrentino A multilevel approach to the energy management of an automotive polymer electrolyte membrane fuel cell system Journal of Fuel Cell Science and Technology 7 2010 011004 011014
12. A. Giustiniani, G. Petrone, C. Pianese, M. Sorrentino, G. Spagnuolo, and M. Vitelli PEM fuel cells control by means of the perturb and observe technique 32nd Annual conference of IEEE Industrial Electronics Society 2006 4349 4354
13. M. Sorrentino, and C. Pianese Control oriented modeling of solid oxide fuel cell auxiliary power unit for transportation applications Journal of Fuel Cell Science and Technology 6 2009 041011.1-041011.12
14. S. Simani, C. Fantuzzi, and R.J. Patton Diagnosis in dynamic system using identification techniques 2002 Springer-Verlag London
15. R. Isermann Model based fault detection and diagnosis - status and applications Elsevier Annual Reviews in Control 29 2005 71 85
16. R. Isermann Fault diagnosis systems: an introduction from fault detection to fault tolerance 2008 Springer Berlin/Heidelberg/New York
17. D. Hissel, M.-C. Péra, and J. Kauffmann Diagnosis of automotive fuel cell power generators Journal of Power Sources 128 2004 239 246
18. A. Majdara, and T. Wakabayashi Component-based modeling of systems for automated fault tree generation Reliability Engineering and System Safety 94 2009 1076 1086
19. I. Arsie, A. Di Filippi, D. Marra, C. Pianese, and M. Sorrentino Fault tree analysis aimed to design and implement on-field fault detection and isolation schemes for SOFC systems ASME. 8th International Conference on Fuel Cell Science, Engineering and Technology 1 2010 389 399
20. N. Yousfi Steiner, D. Hissel, P. Moçotéguy, D. Candusso, D. Marra, and C. Pianese Application of fault tree analysis to fuel cell diagnosis Fuel Cells 12 2 2012 302 309 Fundamentals and Development of Fuel Cells Conference (FDFC 2011)
21. A. Zeller, O. Rallières, J. Régnier, and C. Turpin Diagnosis of a hydrogen/air fuel cell by a statistical model-based method IEEE. Vehicle Power and Propulsion Conference (VPPC) 2010 1 6
22. A. Hernandez, and D. Hissel Modeling and fault diagnosis of a polymer electrolyte fuel cell using electrical equivalent analysis IEEE. Transactions on Energy Conversion 25 1 2010 148 160
23. N. Fouquet, C. Doulet, C. Nouillant, G. Dauphin-Tanguy, and B. Ould-Bouamama Model based PEM fuel cell state-of-health monitoring via ac impedance measurements Journal of Power Sources 159 2 2006 905 913
24. S. Asghari, A. Mokmeli, and M. Samavati Study of PEM fuel cell performance by electrochemical impedance spectroscopy International Journal of Hydrogen Energy 35 17 2010 9283 9290
25. B. Legros, P.X. Thivel, F. Druart, Y. Bultel, and R. Nogueira Diagnosis and modelling of proton-exchange-membrane fuel cell via electrochemical- impedance-spectroscopy and acoustic-emission measurements IEEE. 8th International Symposium on Advanced Electromechanical Motion Systems & Electric Drives Joint Symposium 2009 1 6
26. A. Narjiss, D. Depernet, D. Candusso, F. Gustin, and D. Hissel Online diagnosis of PEM fuel Cell IEEE. 13th Power Electronics and Motion Control Conference (EPE-PEMC) 2008 734 739
27. O. Bethoux, M. Hilairet, and T. Azib A new on-line state-of-health monitoring technique dedicated to PEM fuel cell 35th Annual conference of the IEEE Industrial Electronics Society 2009 2745 2750
28. 2 using electrochemical impedance spectroscopy International Journal of Hydrogen Energy 36 2011 981530
29. 4/PBI Celtec-P MEAs for l-CHP applications Fuel Cells. MEA'08 Conference 9 4 2008 325 348
30. J.L. Jespersen, E. Schaltz, and S.K. Kær Electrochemical characterization of a polybenzimidazole-based high temperature proton exchange membrane unit cell Journal of Power Sources 191 2009 289 296
31. M. Witczak Identification and fault detection of non-linear dynamic systems PhD. thesis. University of Zielona 2003 Góra Press Poland
32. S. de Lira, V. Puig, and J. Quevedo Robust LPV model-based sensor fault diagnosis and estimation for a PEM fuel cell system IEEE. Conference on Control and Fault Tolerant Systems 2010 819 824
33. S. de Lira, V. Puig, J. Quevedo, and A. Husar LPV model-based fault diagnosis using relative fault sensitivity signature approach in a PEM fuel cell IEEE. 18th Mediterranean Conference on Control & Automation 2010 1284 1289
34. W.E. Larimore System identification, reduced-order filtering and modeling via canonical variate analysis IEEE. American Control Conference 1983 445 451
35. Q. Yang, A. Aitouche, and B.O. Bouamama Fault detection and isolation of PEM fuel cell system by analytical redundancy IEEE. 18th Mediterranean Conference on Control & Automation 2010 1371 1376
36. J. Pukrushpan Modeling and control of fuel cell system and fuel processor Ph.D. thesis 2003 University of Michigan Ann Arbor
37. A. Aitouche, Q. Yang, and B.O. Bouamama Fault detection and isolation of PEM fuel cell system based on nonlinear analytical redundancy The European Physical Journal Applied Physics 54 2 2012 23408 23419
38. S. Jemeï, D. Hissel, M.-C. Péra, and J. Kauffmann On-board fuel cell power supply modeling on the basis of neural network methodology Journal of Power Sources 124 2003 479 486
39. S.O.T. Ogaji, R. Singh, P. Pilidis, and M. Diacakis Modelling fuel cell performance using artificial intelligence Journal of Power Sources 154 2006 192 197
40. N. Yousfi-Steiner, D. Hissel, P. Moçotéguy, and D. Candusso Diagnosis of polymer electrolyte fuel cells failure modes (flooding & drying out) by neural networks modelling International Journal of Hydrogen Energy 36 2011 3067 3075
41. M. Nørgaard, O. Ravn, N.L. Poulsen, and L.K. Hansen Neural networks for modelling and control of dynamic systems 2000 Springer-Verlag London
42. I. Arsie, C. Pianese, and M. Sorrentino Development and real-time implementation of recurrent neural networks for AFR prediction and control SAE International Journal of Passenger Cars - Electronic and Electrical Systems 1 2009 403 412
43. S. Jemeï, D. Hissel, M.-C. Pera, and J.M. Kauffmann A new modeling approach of embedded fuel-cell power generators based on artificial neural network IEEE. Transaction on Industrial Electronics 55 2008 437 447
44. N.S. Sisworahardjo, T. Yalcinoz, M.Y. El-Sharkh, and M.S. Alam Neural network model of 100 W portable PEM fuel cell and experimental verification International Journal of Hydrogen Energy 35 2010 9104 9109
45. K. Chang The optimal design for PEMFC modeling based on Taguchi method and genetic algorithm neural networks International Journal of Hydrogen Energy 36 2011 13683 13694
46. A.U. Chávez-Ramírez, R. Muñoz-Guerrero, S.M. Durón-Torres, M. Ferraro, G. Brunaccini, and F. Sergi High power fuel cell simulator based on artificial neural network International Journal of Hydrogen Energy 35 2010 12125 12133
47. C.K. Mechefske Objective machinery fault diagnosis using fuzzy logic Mechanical Systems and Signal Processing 12 6 1998 855 862
48. S. Dash, R. Rengaswamy, and V. Venkatasubramanian Fuzzy-logic based trend classification for fault diagnosis of chemical processes Computers & Chemical Engineering 27 2003 347 362
49. N. Kishor, and S.R. Mohanty Fuzzy modeling of fuel cell based on mutual information between variables International Journal of Hydrogen Energy 35 2010 3620 3631
50. C. Fennie, D. Reisner, J. Barbetta, and P. Singh Fuzzy logic-based state-of-health determination of PEM fuel cells Procs. EVS-18 (Berlin, Germany) 2001
51. S. Tao, Y. Si-jia, C. Guang-yi, and Z. Xin-jian Modelling and control PEMFC using fuzzy neural networks Journal of Zhejiang University - Science A 6 10 2005 1084 1089
52. Y. Vural, D.B. Ingham, and M. Pourkashanian Performance prediction of a proton exchange membrane fuel cell using the ANFIS model International Journal of Hydrogen Energy 34 2009 9181 9187
53. C.A. Ramos-Paja, A. Romero, and R. Giral Fuzzy-based modelling technique for PEMFC electrical power generation systems emulation IEEE. Power Electronics (IET), Journals & Magazines 2 3 2009 241 255
54. H. Drucker, C.J.C. Burges, L. Kaufman, and A. Smola Support vector regression machines Advances in Neural Information Processing Systems 1997 155 161
55. Z.-D. Zhong, X.-J. Zhu, and G.-Y. Cao Modeling a PEMFC by a support vector machine Journal of Power Sources 160 2006 293 298
56. Z.-D. Zhong, X.-J. Zhu, G.-Y. Cao, and J.-H. Shi A hybrid multi-variable experimental model for a PEMFC Journal of Power Sources 164 2007 746 751
57. J. Lu, and A. Zahedi Modelling and control of PEMFC based on support vector machine IEEE. 21st Australasian Universities Power Engineering Conference (AUPEC) 2011 1 6
58. J.A.K. Suykens, and J. Vandewalle Least squares support vector machine classifiers Neural Processing Letters 9 3 1999 293 300
59. X. Li, G. Cao, and X.-J. Zhu Modeling and control of PEMFC based on least squares support vector machines Energy Conversion and Management 47 7-8 2006 1032 1050
60. C.-H. Li, X.-J. Zhu, G.-Y. Cao, S. Sui, and M.-R. Hu Identification of the Hammerstein model of a PEMFC stack based on least squares support vector machines Journal of Power Sources 175 2008 303 316
61. P. Czop, G. Kost, D. Stawik, and G. Wszotek Formulation and identification of first-principle data-driven models Journal of Achievements in Materials and Manufacturing Engineering 44 2 2011 179 186