Polymer electrolyte membrane fuel cell fault diagnosis based on empirical mode decomposition

JOURNAL OF POWER SOURCES

卷:299

Article

Damour, Cedric¹  Benne, Michel¹  Grondin-Perez, Brigitte¹  Bessafi, Miloud¹  Hissel, Daniel²  Chabriat, Jean-Pierre¹ 

[1] Univ La Reunion, EA 4079, LE2P, F-97715 St Denis, France

[2] Univ Franche Comte, CNRS, UMR 6174, FCLAB Res Federat,FR CNRS 3539,FEMTO ST Energy De, F-90010 Belfort, France

关键词: PEM fuel cell;    Non-invasive fault diagnosis;    Flooding;    Drying;    Empirical mode decomposition;   

DOI  :  10.1016/j.jpowsour.2015.09.041

来源: Elsevier

【 摘 要 】

Diagnosis tool for water management is relevant to improve the reliability and lifetime of polymer electrolyte membrane fuel cells (PEMFCs). This paper presents a novel signal-based diagnosis approach, based on Empirical Mode Decomposition (EMD), dedicated to PEMFCs. EMD is an empirical, intuitive, direct and adaptive signal processing method, without pre-determined basis functions. The proposed diagnosis approach relies on the decomposition of FC output voltage to detect and isolate flooding and drying faults. The low computational cost of EMD, the reduced number of required measurements, and the high diagnosis accuracy of flooding and drying faults diagnosis make this approach a promising online diagnosis tool for PEMFC degraded modes management. (C) 2015 Elsevier B.V. All rights reserved.

【 授权许可】

Free