Degradation pattern prediction of a polymer electrolyte membrane fuel cell stack with series reliability structure via durability data of single cells
Suk Joo Bae,
Seong-Joon Kim,
Jin-Hwa Lee,
Inseob Song,
Nam-In Kim,
Yongho Seo,
Ki Buem Kim,
Naesung Lee and
Jun-Young Park
Applied Energy, 2014, vol. 131, issue C, 48-55
Abstract:
The insufficient long-term durability of polymer electrolyte membrane fuel cell (PEMFC) stacks has been blocking commercialization of PEMFC technologies. An accelerated degradation test (ADT) is needed to facilitate the PEMFC development process by reducing the testing time. We propose an ADT procedure for a PEMFC stack with the concept of series reliability structure under startup–shutdown cycling testing conditions. The acceleration factor is estimated to fit the degradation paths of individual cells consisting of the PEMFC stack under normal use conditions via the accelerated degradation data of a single cell. We employ a nonparametric regression method to smooth the degradation curves observed from accelerated operating conditions. We illustrate the methodology for estimating the lifetime of the PEMFC stack using the theory of the smallest-order statistics. We propose a three-parameter Weibull distribution in fuel cell technology to fit the failure data of cells in a PEMFC stack.
Keywords: Accelerated degradation test; Polymer electrolyte membrane fuel cell; Stack; Series reliability structure; Weibull distribution (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261914005698
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:131:y:2014:i:c:p:48-55
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2014.05.064
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().