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Bibliometric analysis of prognostics and health management (PHM) in hydrogen fuel cell engines.

Authors :
Wang, Lijun
Li, Xiangyang
Guo, Pengyan
Guo, Shuman
Yang, Zhenzhong
Pei, Pucheng
Source :
International Journal of Hydrogen Energy. Sep2022, Vol. 47 Issue 80, p34216-34243. 28p.
Publication Year :
2022

Abstract

Because of its superior cold-start effect and lack of pollution, the proton exchange membrane fuel cell (PEMFC) engine has gained a lot of interest as the most common application type of hydrogen fuel cell engines. However, the difficulty in forecasting the remaining life and monitoring the operation state for a lengthy period limits its commercialization. As a result, PEMFC Prognostics and Health Management (PHM) is critical. A method based on bibliometrics is introduced into the research on this topic. In this work, the research in this field is divided into three stages. The characteristics of different stages are summarized through keywords, subject background, and other aspects. We can observe the transformation of the field from the idea based on analytical reduction to systematic theoretical control. Based on the results of bibliometric analysis, we have conducted a literature review, and we can see the typical research results and development direction of each topic clustering. • A bibliometric based approach is used to organize the structure of the review. • The hotspot and driving force of hydrogen fuel cell engine are visualized. • Development direction PHM in the PEMFC was analyzed. • Many fault causes and health management architecture are analyzed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03603199
Volume :
47
Issue :
80
Database :
Academic Search Index
Journal :
International Journal of Hydrogen Energy
Publication Type :
Academic Journal
Accession number :
159432536
Full Text :
https://doi.org/10.1016/j.ijhydene.2022.08.024