FAULT DIAGNOSIS OF PEM ELECTROLYZER BASED ON SMALL CELL VOLTAGE CHARACTERISTICS

Shen Dali; Dong Yan; Yang Fuquan; Lei Zhaoming; Cao Xin

doi:10.19912/j.0254-0096.tynxb.2024-0207

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (6) : 229-237. DOI: 10.19912/j.0254-0096.tynxb.2024-0207

FAULT DIAGNOSIS OF PEM ELECTROLYZER BASED ON SMALL CELL VOLTAGE CHARACTERISTICS

Shen Dali¹, Dong Yan¹, Yang Fuquan¹, Lei Zhaoming¹, Cao Xin²

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Abstract

To quickly detect and accurately identify the electrolytic cells fault, a fault diagnosis method based on an interleaved voltage detection circuit combining a weighted modified variance algorithm and improved correlation coefficient algorithm is proposed to identify and diagnose the various faults of the electrolytic cells with voltage characteristics. Firstly, the method of interleaved voltage detection is used, and the weighted modified variance algorithm is used to extract the fault features, to identify whether there is a fault, and distinguish the small cell fault and voltage sensor fault. Secondly, considering the voltage fluctuation in hydrogen production from renewable energy, it is proposed to utilize the correlation of inter-cell voltages and adopt an improved correlation coefficient algorithm to diagnose faults such as short circuits and water shortage in electrolytic cells. The feasibility of the fault diagnosis method is verified by example analysis and result comparisons.

Key words

electrolytic cells / fault detection / voltage measurement / weighted modified variance / correlation coefficient

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Shen Dali, Dong Yan, Yang Fuquan, Lei Zhaoming, Cao Xin. FAULT DIAGNOSIS OF PEM ELECTROLYZER BASED ON SMALL CELL VOLTAGE CHARACTERISTICS[J]. Acta Energiae Solaris Sinica. 2025, 46(6): 229-237 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0207

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