Whole life cycle performance degradation test and RUL prediction research of fuel cell MEA

Hong Chen, Zhigang Zhan, Panxing Jiang, Yahao Sun, Liwen Liao, Xiongbiao Wan, Qing Du, Xiaosong Chen, Hao Song, Ruijie Zhu, Zhanhong Shu, Shang Li and Mu Pan

Applied Energy, 2022, vol. 310, issue C, No S0306261922000423

Abstract: Understanding the degradation mechanism and accurate prediction of the remaining useful life (RUL) of proton exchange membrane fuel cells (FCs) can provide guidance for improving durability and reducing their operation and maintenance costs. In this paper, we measured the actual lifetime of an FC for more than 7000 h until the end of its life and developed an RUL model based on the degradation mechanism. The particle filter (PF) algorithm was used to eliminate the influence of random errors on the key model parameters and on the prediction of RUL. RUL prediction was carried out and the contributions of key factors to FC voltage degradation were calculated and analyzed. The results demonstrated that the RUL of the FC could be accurately predicted with the RUL model and the PF algorithm. Over the lifetime of the FC, catalyst degradation was responsible for the majority of FC voltage degradation, contributing as much as 84. 3% of the performance degradation. In the latter stage of the FC lifetime, the rapid increase in leakage current caused by membrane degradation and the increase in MEA mass transfer resistance became increasingly significant, with their voltage degradation contribution rates increasing from 0.12% to 35.19% and from −4.04% to 14.32%, respectively. The influence of evolutions to the internal resistance on FC performance degradation was determined to be negligible.

Keywords: PEMFC; Performance degradation; Remaining useful life; Mechanism model; Particle filtering (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261922000423
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:310:y:2022:i:c:s0306261922000423

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.2022.118556

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 ().