Review on hydrogen fuel cell condition monitoring and prediction methods.

Abstract A hydrogen fuel cell combines oxygen and hydrogen to generate electricity, which becomes a promising power source. The conditions of the fuel cell, such as health status, and faults, are essential for ensuring the continuous power supplying. There are technologies and algorithms carried out for fuel cell health monitoring, fault diagnosis, and prediction, lifespan prediction. For a comprehensive understanding, this paper proposed a comprehensive overview of the work on fuel cell conditions monitoring technology. It reviewed the works of literature from two different points of view, technology, and scenario. For technology view, there are model-based method, filter-based method, and data motivated method. For scenario views, it proposed a 5 × 5 tables for detail comparison. Based on this review, readers can easily understand the current status of condition monitoring technology for the fuel cell. Highlights • A comprehensive overview of the work on fuel cell conditions monitoring technology. • It reviewed from two different points of view, technology, and scenario. • There reviewed model-based method, filter-based method, and data motivated method. • For scenario views, it proposed a 5 × 5 table for detail comparison. [ABSTRACT FROM AUTHOR]