• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 55 Issue 4
Jul.  2020
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Article Contents
ZHANG Xuexia, JIANG Yu, SUN Tengfei, CHEN Weirong. Review on Fault Diagnosis for Flooding and Drying in Proton Exchange Membrane Fuel Cells[J]. Journal of Southwest Jiaotong University, 2020, 55(4): 828-838, 864. doi: 10.3969/j.issn.0258-2724.20190548
Citation: ZHANG Xuexia, JIANG Yu, SUN Tengfei, CHEN Weirong. Review on Fault Diagnosis for Flooding and Drying in Proton Exchange Membrane Fuel Cells[J]. Journal of Southwest Jiaotong University, 2020, 55(4): 828-838, 864. doi: 10.3969/j.issn.0258-2724.20190548

Review on Fault Diagnosis for Flooding and Drying in Proton Exchange Membrane Fuel Cells

doi: 10.3969/j.issn.0258-2724.20190548
  • Received Date: 17 Jun 2019
  • Rev Recd Date: 13 Nov 2019
  • Available Online: 26 Nov 2019
  • Publish Date: 01 Aug 2020
  • In running proton exchange membrane fuel cells (PEMFCs), the flooding and drying are the most common faults. Firstly, water generation and transfer mechanism in PEMFCs are elaborated, and the impact factors of flooding and drying faults are generalized. The diagnostic indicators for flooding and drying in terms of voltage, pressure drop, and impedance are listed with the analysis on their merits and demerits. In addition, the damages caused by flooding and drying faults are presented from the perspective of internal structure and charge transport. Next, the model-based, experimental-based, and data-driven diagnostic methods for flooding and drying faults and their application range are discussed. Moreover, popular mitigation strategies for flooding and drying are analyzed. Finally, the researches on flooding and drying are summarized and their prospects are presented. Of these researches, online diagnostic approaches based on data-driven, model establishment for fault diagnosis, flooding and drying diagnosis in large-scale stacks and multi-stacks, and the efficient and accurate diagnostic indicators need further studies.

     

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