4.7 Article

A galvanostatic charging method for quantitative measurements of hydrogen crossover in fuel cell stack

Journal

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Volume 47, Issue 92, Pages 39225-39238

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2022.09.080

Keywords

Proton exchange membrane fuel cell; Hydrogen leakage; Aging estimation; Uniformity analysis; Failure diagnosis

Funding

  1. Zhengzhou Major Scientific and Technological Innovation Project
  2. National Key R&D Program of China
  3. [2020CXZX0071]
  4. [2019YFB1504605]

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This paper presents a novel galvanostatic charging method for quantifying the hydrogen crossover in fuel cell stacks. The method is validated to be accurate and efficient, providing a non-invasive tool for lifespan evaluation and failure diagnosis of fuel cell stacks.
Hydrogen crossover rate has emerged as a key indicator for characterizing the aging pro-cess of proton exchange membrane fuel cell. Electrochemical techniques are the most common for quantifying hydrogen crossover. However, for the present, most existing methods are only applicable to the scenario of single fuel cell. There is still a lack of effi-cient methods for the quantification of hydrogen crossover in stack configuration. In this paper, we establish a galvanostatic charging method with high accuracy and strong operability to measure hydrogen crossover in fuel cell stack for the first time. The funda-mentals of this presented method are expounded through comprehensively analyzing the electrochemical processes occurring on fuel cell electrode under galvanostatic conditions. The effectiveness of the galvanostatic charging method is fully validated on a single cell and a multi-cell stack. Furthermore, necessary details for practical implementation of our method are discussed, and a data processing procedure allowing automatic and quick data extraction is correspondingly developed. This new characterization methodology for stack -level fuel cells offers significant advantages of being accurate, high-efficiency and non-invasive, and it will provide a powerful tool for lifespan evaluation, inconsistency anal-ysis and failure diagnosis of fuel cell stacks.(c) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

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