聚合物电解质燃料电池故障诊断研究进展与展望

IF 6.1 Q1 CHEMISTRY, MULTIDISCIPLINARY Chemistry methods : new approaches to solving problems in chemistry Pub Date : 2023-09-05 DOI:10.1002/cmtd.202300030
Shangwei Zhou, Dr. Rhodri Jervis
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引用次数: 0

摘要

聚合物电解质燃料电池(PEFC)被认为是具有高能量转换效率和零CO2排放的内燃机的替代品。稳定的系统运行需要在相对较窄的运行条件范围内进行控制,以实现最佳输出,当运行条件偏离控制目标时,容易导致故障加速退化。系统的性能恢复可以通过早期故障诊断来实现;因此,准确有效的诊断特征对长期服务至关重要。本文综述了应用于燃料电池故障诊断的离线和在线技术。离线方法包括电化学阻抗谱(EIS)、循环伏安法(CV)、恒电流充电(GSC)、基于可视化和基于图像的技术;在线方法可分为基于模型、数据驱动、基于信号和混合方法。由于每种方法都有优点和缺点,因此分析了其有效性,并强调了其局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A Review of Polymer Electrolyte Fuel Cells Fault Diagnosis: Progress and Perspectives

Polymer electrolyte fuel cells (PEFCs) are regarded as a substitution for the combustion engine with high energy conversion efficiency and zero CO2 emissions. Stable system operation requires control within a relatively narrow range of operating conditions to achieve the optimal output, leading to faults that can easily cause accelerated degradation when operating conditions deviate from the control targets. Performance recovery of the system can be realized through early fault diagnosis; therefore, accurate and effective diagnostic characterisation is vital for long-term serving. A review of off-line and on-line techniques applied to the fault diagnosis of fuel cells is presented in this work. Off-line approaches include electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), galvanostatic charge (GSC), visualisation-based and image-based techniques; the on-line methods can be divided into model-based, data-driven, signal-based and hybrid methods. Since each methodology has advantages and drawbacks, its effectiveness is analysed, and limitations are highlighted.

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