Electrochemical and microscopic characterization of fuel cell catalyst layer degradation during accelerated stress tests: a review

IF 14.9 1区 化学 Q1 Energy Journal of Energy Chemistry Pub Date : 2025-02-13 DOI:10.1016/j.jechem.2025.01.047
Yuan Gao, Jianghan Cao, Chaogang Chen
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Abstract

The catalyst layer is an essential component of fuel cells, exerting a decisive influence on performance, particularly under degradation processes. Characterization derived from accelerated stress tests (ASTs) provide valuable insights into the long-term degradation from the perspective of changes in physical and chemical properties, thereby offering a scientific foundation for evaluating advanced materials and strategies. In this review, multidimensional and multi-characterization application scenarios based on ASTs data are systematically summarized. Firstly, the degradation mechanism of catalyst layer (CL) under AST conditions is discussed, with an emphasis on platinum aging and carbon support corrosion. In addition, electrochemical and microphysical characterization tools applicable to different AST test protocols, such as electrochemical surface area (ECSA), electrochemical impedance spectrum (EIS) mapping combined with distribution of relaxation times (DRT), and microscopic physical evolution and tracking techniques for each internal chemical component, are also presented in detail. Finally, through the existing research progress and hotspots, the application prospect of data fusion is elaborated and the important research direction of material optimization and performance prediction based on AST data is emphasized, aiming to provide insights into the study of catalytic layer degradation in fuel cells and promote the continuous development of the field.

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加速应力试验中燃料电池催化剂层降解的电化学和微观表征:综述
催化剂层是燃料电池的重要组成部分,对燃料电池的性能有着决定性的影响,尤其是在降解过程中。从加速应力测试(ast)中获得的表征从物理和化学性质变化的角度提供了对长期降解的有价值的见解,从而为评估先进材料和策略提供了科学基础。本文系统总结了基于ast数据的多维、多表征应用场景。首先,讨论了催化剂层(CL)在AST条件下的降解机理,重点讨论了铂老化和碳载体腐蚀。此外,还详细介绍了适用于不同AST测试方案的电化学和微物理表征工具,如电化学表面积(ECSA)、结合弛豫时间分布(DRT)的电化学阻抗谱(EIS)作图以及各内部化学成分的微观物理演化和跟踪技术。最后,通过现有的研究进展和热点,阐述了数据融合的应用前景,强调了基于AST数据的材料优化和性能预测的重要研究方向,旨在为燃料电池催化层降解的研究提供见解,促进该领域的不断发展。
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来源期刊
Journal of Energy Chemistry
Journal of Energy Chemistry CHEMISTRY, APPLIED-CHEMISTRY, PHYSICAL
CiteScore
19.10
自引率
8.40%
发文量
3631
审稿时长
15 days
期刊介绍: The Journal of Energy Chemistry, the official publication of Science Press and the Dalian Institute of Chemical Physics, Chinese Academy of Sciences, serves as a platform for reporting creative research and innovative applications in energy chemistry. It mainly reports on creative researches and innovative applications of chemical conversions of fossil energy, carbon dioxide, electrochemical energy and hydrogen energy, as well as the conversions of biomass and solar energy related with chemical issues to promote academic exchanges in the field of energy chemistry and to accelerate the exploration, research and development of energy science and technologies. This journal focuses on original research papers covering various topics within energy chemistry worldwide, including: Optimized utilization of fossil energy Hydrogen energy Conversion and storage of electrochemical energy Capture, storage, and chemical conversion of carbon dioxide Materials and nanotechnologies for energy conversion and storage Chemistry in biomass conversion Chemistry in the utilization of solar energy
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