Lifetime prediction of a polymer electrolyte membrane fuel cell via an accelerated startup-shutdown cycle test

被引:54
|
作者
Bae, Suk Joo [6 ]
Kim, Seong-Joon [6 ]
Park, Jong In [5 ]
Park, Chan Woong [4 ]
Lee, Jin-Hwa [3 ]
Song, Inseob [3 ]
Lee, Naesung [1 ,2 ]
Kim, Ki-Bum [1 ,2 ]
Park, Jun-Young [1 ,2 ]
机构
[1] Sejong Univ, HMC, Seoul 143747, South Korea
[2] Sejong Univ, INAME, Green Energy Res Inst, Fac Nano Technol & Adv Mat Engn, Seoul 143747, South Korea
[3] Samsung SDI Co LTD, Energy Lab, Suwon 443391, Gyeonggi Do, South Korea
[4] Gachon Univ, Dept Ind Informat & Syst Engn, Songnam, South Korea
[5] Korea Testing Lab, Reliabil Technol Ctr, Ansan, South Korea
[6] Hanyang Univ, Dept Ind Engn, Seoul 133791, South Korea
关键词
Accelerated degradation test (ADT); Lifetime prediction; Membrane electrode assembly (MEA); Nonparametric regression; Polymer electrolyte membrane fuel cell (PEMFC); DURABILITY TEST; DEGRADATION; MECHANISMS;
D O I
10.1016/j.ijhydene.2012.03.104
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
To expand commercial applications of polymer electrolyte membrane fuel cells (PEMFCs), the evaluation time for their durability must be shortened. This article provides a straightforward accelerated degradation testing (ADT) procedure for PEMFC for easy and quick implementation of the procedure. The ADT procedure includes statistical modeling of degradation patterns of membrane electrode assemblies (MEAs) in PEMFCs under startup-shutdown cycling conditions. For this purpose, we propose a nonparametric degradation model to describe the nonlinear performance degradation paths of PEMFC MEAs. The analysis results indicate that the nonparametric approach provides more accurate estimates of the observed degradation data than other parametric approaches. Based on the nonparametric degradation model, we suggest a method to predict failure-times under normal operating conditions by estimating the time-scale factor under accelerated operating conditions. Copyright (C) 2012, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:9775 / 9781
页数:7
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