Diagnostic tools for PEMFCs: from conception to implementation

被引:52
作者
Cadet, C. [1 ]
Jemei, S. [2 ,3 ]
Druart, F. [4 ]
Hissel, D. [2 ,3 ]
机构
[1] Grenoble INP UJF Stendhal Univ, UMR CNRS 5216, GIPSA LAB, F-38402 St Martin Dheres, France
[2] FR CNRS 3539, FCLAB Res Federat, F-90010 Belfort, France
[3] Univ Franche Comte, FEMTO ST UMR CNRS 6174, F-90010 Belfort, France
[4] Grenoble INP UJF Univ Savoie, UMR CNRS 5279, LEPMI, F-38402 St Martin Dheres, France
关键词
PEM fuel cell; Fault diagnosis; Flooding; Drying; Performances; Comparison; FUEL-CELL STACK; AC-IMPEDANCE DIAGNOSIS; MODEL-BASED DIAGNOSIS; ELECTROCHEMICAL IMPEDANCE; FAULT-DIAGNOSIS; SYSTEM; RESISTANCE; ANODE; TIME;
D O I
10.1016/j.ijhydene.2014.04.163
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070305 [高分子化学与物理];
摘要
By detecting and identifying degradation mechanisms, diagnostic tools are essential in avoiding premature ageing of PEM Fuel Cells. Indeed, the diagnosis of hazardous situations ensures the optimal management of operating conditions. This paper proposes several guidelines for choosing, designing and applying diagnostic tools for PEMFCs, focussing on developing objective criteria allowing an actual validation of the results. At the conceptual stage, methods to ensure the database representativeness of different degrees of flooding and drying, two typical faults in the PEM fuel cell, are discussed, and simple equations are given to estimate the relative humidity in the stack under applied operating condition. After the diagnostic tool has been realised, indicators to evaluate fault diagnosis performances are proposed. Implementation ability may be evaluated by cost criteria, which include equipment, consumed energy and consumed time. This paper demonstrates that a practical comparison of diagnosis methods is possible and provides new perspectives for establishing a benchmark in the diagnosis of fuel cells. Copyright (C) 2014, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:10613 / 10626
页数:14
相关论文
共 61 条
[1]
Fault detection and isolation of PEM fuel cell system based on nonlinear analytical redundancy [J].
Aitouche, A. ;
Yang, Q. ;
Bouamama, B. Ould .
EUROPEAN PHYSICAL JOURNAL-APPLIED PHYSICS, 2011, 54 (02)
[2]
[Anonymous], 8 INT C FUEL CELL SC
[3]
[Anonymous], 2010, P 2010 IEEE VEHICLE, DOI DOI 10.1109/VPPC.2010.5729171
[4]
An extensive comparative study of cluster validity indices [J].
Arbelaitz, Olatz ;
Gurrutxaga, Ibai ;
Muguerza, Javier ;
Perez, Jesus M. ;
Perona, Inigo .
PATTERN RECOGNITION, 2013, 46 (01) :243-256
[5]
Relationship between pressure drop and cell resistance as a diagnostic tool for PEM fuel cells [J].
Barbir, F ;
Gorgun, H ;
Wang, X .
JOURNAL OF POWER SOURCES, 2005, 141 (01) :96-101
[6]
Model-based evaluation of clustering validation measures [J].
Brun, Marcel ;
Sima, Chao ;
Hua, Jianping ;
Lowey, James ;
Carroll, Brent ;
Suh, Edward ;
Dougherty, Edward R. .
PATTERN RECOGNITION, 2007, 40 (03) :807-824
[7]
Diagnosis of PEM fuel cell stack dynamic behaviors [J].
Chen, Jixin ;
Zhou, Biao .
JOURNAL OF POWER SOURCES, 2008, 177 (01) :83-95
[8]
Electrochemical impedance study of PEM fuel cells. Experimental diagnostics and modeling of air cathodes [J].
Ciureanu, M ;
Roberge, R .
JOURNAL OF PHYSICAL CHEMISTRY B, 2001, 105 (17) :3531-3539
[9]
Electrical test methods for on-line fuel cell ohmic resistance measurement [J].
Cooper, K. R. ;
Smith, M. .
JOURNAL OF POWER SOURCES, 2006, 160 (02) :1088-1095
[10]
LPV observer design for PEM fuel cell system: Application to fault detection [J].
de Lira, S. ;
Puig, V. ;
Quevedo, J. ;
Husar, A. .
JOURNAL OF POWER SOURCES, 2011, 196 (09) :4298-4305