Journal Article

FZJ-2021-05855

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Fault prognosis control of solid oxide fuel cell system based on health evaluation

Cheng, T.FZJ*RWTH* ; Qin, H. ; Cheng, Z. ; Yan, D. ; Jia, L. ; Jiang, J. (Corresponding author) ; Li, J.

2021
Elsevier New York, NY [u.a.]

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Please use a persistent id in citations: http://hdl.handle.net/2128/30168  doi:10.1016/j.ijhydene.2021.09.103

Abstract: High cost and short life-span hinder the large-scale commercial application of solid oxide fuel cell technology. System performance inevitably degrades and gradually evolves into faults in the long run, leading to the change of system input-output characteristics. The control system designed based on initial conditions faces with problems such as parameter mismatch, inaccurate control and even wrong control laws. This paper proposes an adaptive control strategy to enable the system controller to cope with degradation and fault phenomena in real systems. The system characteristics under different degradation and fault conditions are investigated. A novel health evaluation system is developed, where an early fault identification and pretreatment approach based on optimal operation point optimization model and fuzzy neural network are adopted for control optimization. Simulation results show that the enhanced system controller can improve system efficiency by about 2% and prolong life-span significantly with the reality of degradation and fault mechanisms.

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Contributing Institute(s):

1. Elektrochemische Verfahrenstechnik (IEK-14)

Research Program(s):

1. 1231 - Electrochemistry for Hydrogen (POF4-123) (POF4-123)

Appears in the scientific report 2021

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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