A double-fuzzy diagnostic methodology dedicated to online fault diagnosis of proton exchange membrane fuel cell stacks

被引：85
作者：
Zheng, Zhixue [1 ,2 ]
Pera, Marie-Cecile [1 ,2 ]
Hissel, Daniel [1 ,2 ]
Becherif, Mohamed [1 ,3 ]
Agbli, Krehi-Serge [1 ,2 ]
Li, Yongdong [4 ]
机构：
[1] FEMTO ST, Dept Energy, FCLAB Res Federat, FR CNRS 3539,UMR CNRS 6174, Besancon, France
[2] Univ Franche Comte, F-90010 Belfort, France
[3] Univ Technol Belfort Montbeliard, F-90010 Belfort, France
[4] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
来源：
JOURNAL OF POWER SOURCES | 2014年 / 271卷
关键词：
PEMFC; Fuzzy clustering; Fuzzy logic; EIS; Fault diagnosis; ENERGY MANAGEMENT STRATEGY; STATE-OF-HEALTH; WATER MANAGEMENT; LOGIC; CLASSIFICATION; SPECTROSCOPY;
D O I：
10.1016/j.jpowsour.2014.07.157
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
To improve the performance and lifetime of the low temperature polymer electrolyte membrane fuel cell (PEMFC) stack, water management is an important issue. This paper aims at developing an online diagnostic methodology with the capability of discriminating different degrees of flooding/drying inside the fuel cell stack. Electrochemical impedance spectroscopy (EIS) is utilized as a basis tool and a double-fuzzy method consisting of fuzzy clustering and fuzzy logic is developed to mine diagnostic rules from the experimental data automatically. Through online experimental verification, a high interpretability and computational efficiency of the proposed methodology can be achieved. (C) 2014 Elsevier B.V. All rights reserved.
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收藏
页码：570 / 581
页数：12
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