4.7 Article

Life prediction of membrane electrode assembly through load and potential cycling accelerated degradation testing in polymer electrolyte membrane fuel cells

Journal

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Volume 47, Issue 39, Pages 17379-17392

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2022.03.222

Keywords

cell; Load cycling test; Potential cycling test; Degradation model; Accelerated degradation test; Polymer electrolyte membrane fuel

Funding

  1. Technology Development Program to Hydrogen Energy [2019M3E6A1064358, 2020R1A4A4079904]
  2. National Research Foundation - Ministry of Science and ICT of Korea, and Technology Inno-vation Program [20011633]
  3. National Research Foundation - Ministry of Science and ICT of Korea [2019M3E6A1064358, 2020R1A4A4079904]
  4. Technology Innovation Program - Ministry of Trade, Industry & Energy (MOTIE) of Korea [20011633]
  5. Korea Evaluation Institute of Industrial Technology (KEIT) [20011633] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  6. National Research Foundation of Korea [2019M3E6A1064358, 2020R1A4A4079904] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This study proposes a method to accurately predict the lifetime of membrane electrode assembly (MEA) through empirical modeling using accelerated degradation tests (ADTs). It addresses the potential bias in lifetime prediction caused by combined stressors in ADTs, and offers insights into resolving durability issues of MEAs.
Accelerated degradation tests (ADTs) are commonly used to assess the durability of membrane electrode assembly (MEA) components consisting of polymer electrolyte membrane fuel cells (PEMFC) under harsh stress conditions, estimating their lifetime in actual use condition and uncovering their vital degradation mechanisms. ADTs apply mechanically, chemically, or thermally combined stressors to efficiently investigate the durability of MEAs. However, combined stressors for ADTs might cause biased lifetime prediction because major deterioration mechanisms of MEA components are mixed with each other. This work proposes a method to accurately predict the lifetime of MEA through empirical modeling of its performance degradation through ADTs under potential cycle (carbon corrosion) and load cycle tests (electrocatalysts). To simulate operation modes of fuel cell electric vehicles, MEAs are tested under continuous on-off cycle testing (24 h operating and 1 h break) for 5000 h. Degradation patterns of MEAs are first modeled by the empirical model. The relationship between ADTs (potential and load cycle) and continuous on-off condition is then closely examined to accurately predict MEA lifetime under actual operation environments. The proposed idea has a potential to resolve critical durability issues of MEAs by identifying intermingling effects from other constituents. (c) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

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