Solid oxide fuel cell systems fault diagnosis: Critical summarization, classification, and perspectives

自动汇总 商业化 固体氧化物燃料电池 断层(地质) 故障检测与隔离 计算机科学 可靠性工程 风险分析(工程) 数据挖掘 工程类 人工智能 业务 阳极 地质学 化学 执行机构 电极 物理化学 营销 地震学
作者
Bo Yang,Zhengxun Guo,Jingbo Wang,Junting Wang,Ting Zhu,Hongchun Shu,Guibao Qiu,Chen Jiao,Jin Zhang
出处
期刊:Journal of energy storage [Elsevier BV]
卷期号:34: 102153-102153 被引量:25
标识
DOI:10.1016/j.est.2020.102153
摘要

Global interests in solid oxide fuel cells (SOFCs) has been dramatically increased over the last few decades thanks to their high energy conversion efficiency, prominent stability, and powerful sustainability. In particular, fault diagnosis of SOFC systems plays a crucial role in their overall optimal control and reliable operation. Thus far, a large number of fault diagnosis methods have been developed to improve the durability and promote the commercialization of SOFC systems. Until now, several reviews have been proposed to summarize these methods but all exist distinct drawbacks, such as incomplete classification and discussion, lack of practical recommendations, etc. Hence, this paper attempts to offer a systematic summarization and classification of various SOFC systems fault diagnosis approaches. Note that eighteen specific faults are addressed detailedly, along with fifteen fault detection and isolation (FDI) methods which are categorized into four groups, i.e., electrochemical impedance spectroscopy (EIS)-based, model-based, data-driven, and hybrid FDI. Besides, practical applications, diagnosis accuracy, diagnostic diversity, complexity, advantages, and disadvantages of all methods are thoroughly compared and evaluated. Lastly, eleven perspectives are proposed for future in-depth researches.
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