Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/27649

Title: Investigation of PEMFC fault diagnosis with consideration of sensor reliability
Authors: Mao, Lei
Jackson, Lisa M.
Davies, Ben
Keywords: PEMFC
Fault diagnosis
Sensor reliability
Data-driven approach
Issue Date: 2018
Publisher: Elsevier
Citation: MAO, L., JACKSON, L.M. and DAVIES, B., 2018. Investigation of PEMFC fault diagnosis with consideration of sensor reliability. International Journal of Hydrogen Energy, In Press.
Abstract: Despite the wide range of applications for the polymer electrolyte membrane fuel cell (PEMFC), its reliability and durability are still major barriers for further commercialisation. As a possible solution, PEMFC fault diagnosis has received much more atten-tion in the last few decades. Due to the difficulty of developing an accurate PEMFC model incorporating various failure mode ef-fects, data-driven approaches are widely used for diagnosis purposes. These methods depend largely on the quality of sensor measurements from the PEMFC. Therefore, it is necessary to investigate sensor reliability when performing PEMFC fault diagnosis. In this study, sensor reliability is investigated by proposing an identification technique to detect abnormal sensors during PEMFC operation. The identified abnormal sensors will be removed from the analysis in order to guarantee reliable diagnostic performance. Moreover, the effectiveness of the proposed technique is investigated using test data from a PEMFC system, where fuel cell flooding is observed. During the test, due to accumulation of liquid water inside the PEMFC, the humidity sensors will give misleading readings, and flooding cannot be identified correctly with inclusion of these humidity sensors in the analysis. With the proposed technique, the abnormal humidity measurements can be detected at an early stage. Results demonstrate that by re-moving the abnormal sensors, flooding can be identified with the remaining sensors, thus reliable health monitoring can be guaranteed during the PEMFC operation.
Description: This paper is in closed access until 12 months after publication.
Sponsor: This work is supported by grant EP/K02101X/1 for Loughborough University, Department of Aeronautical and Automotive Engineering from the UK Engineering and Phys-ical Sciences Research Council (EPSRC).
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/27649
Publisher Link: https://www.sciencedirect.com/journal/international-journal-of-hydrogen-energy
ISSN: 0360-3199
Appears in Collections:Closed Access (Aeronautical and Automotive Engineering)

Files associated with this item:

File Description SizeFormat
Jackson_HYCELTEC_paper_revision_final_17.pdfAccepted version663.16 kBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.