Journal
ENERGY CONVERSION AND MANAGEMENT
Volume 266, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2022.115809
Keywords
Proton exchange membrane fuel cell; Fault diagnosis; Model simulation; Water management; Magnetic field
Categories
Funding
- National Natural Science Foundation of China (NSFC) [51975549]
- Key R & D Plan of Anhui Province [202104h04020006]
- Anhui Provincial Natural Science Foundation [1908085ME161]
- Hefei Municipal Natural Sci-ence Foundation [2021022]
- CAS Pioneer Hundred Tal-ents Program
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This study proposes an efficient fault diagnosis technique for PEMFC, where the external magnetic field is measured to identify performance degradation mechanisms and corresponding faults. A numerical model is constructed to explore the relation between the magnetic field and PEMFC health state. The effectiveness of the proposed method in identifying water management issues is investigated using test data.
Fault diagnosis has been considered as a critical solution for improving the reliability of proton exchange membrane fuel cell (PEMFC) system. This study proposes an efficient PEMFC fault diagnosis technique, where PEMFC external magnetic field is measured during its operation, from which PEMFC performance degradation mechanisms and corresponding faults can be identified. In the analysis, a PEMFC numerical model is constructed to explore the relation between external magnetic field and PEMFC state of health. Furthermore, a non-invasive measurement strategy is proposed to collect external magnetic field during the operation. With the measurements, an efficient PEMFC fault diagnosis method is proposed, and its effectiveness in identifying PEMFC water management issues is investigated using PEMFC test data. Results demonstrate that PEMFC flooding and dehydration can be discriminated with good quality, and the faulty level can also be identified accurately.
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