Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review

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TitrePrognostics methods and degradation indexes of proton exchange membrane fuel cells: A review
Type de publicationJournal Article
Year of Publication2020
AuteursLiu H, Chen J, Hissel D, Lu J, Hou M, Shao Z
JournalRENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume123
Pagination109721
Date PublishedMAY
Type of ArticleReview
ISSN1364-0321
Mots-clésContact resistance, Degradation index, Electrochemical surface area, Membrane thickness, Prognostics, Proton exchange membrane fuel cells
Résumé

Prognostics is a promising solution to the short lifetime and high-cost bottlenecks of proton exchange membrane fuel cells (PEMFCs). The advances of PEMFCs prognostics research can be divided into two main categories, namely, the innovations of prognostics methods and the innovations of degradation indexes. Among them, the degradation indexes are the prerequisites for accurate prognostics of PEMFCs. Although many prognostics methods have been proposed in recent years to improve the performance of prognostics, the research on degradation indexes of PEMFCs has been slow, and few studies have focused on more effective and more general degradation indexes. Currently, the most widely used degradation indexes are still the traditional indexes, which only reflect the macro-scale degradation of PEMFCs, such as voltage and power. In addition, the traditional indexes change as operating conditions change. For PEMFCs under dynamic operating conditions, especially in transportation applications, it is difficult to obtain accurate degradation information based on the traditional indexes. Due to the lack of more accurate, comprehensive, and general degradation indexes, the existing prognostics methods inevitably have limitations and deficiencies. The purpose of this paper is to provide a full review of the latest research advances in the prognostics of PEMFCs, especially the degradation indexes. Moreover, the challenges and future directions of prognostics research are also analyzed.

DOI10.1016/j.rser.2020.109721