基于小室电压特征的PEM电解槽故障诊断

沈大力; 董砚; 杨富荃; 雷兆明; 曹欣

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

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基于小室电压特征的PEM电解槽故障诊断

更新时间：2025-12-02

- 基于小室电压特征的PEM电解槽故障诊断
- Vol. 46, Issue 6, Pages: 229-237(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-0207
  CLC： TQ116
- Published Online：07 July 2025，
  
  Published：2025
- 稿件说明：
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沈大力, 董砚, 杨富荃, et al. 基于小室电压特征的PEM电解槽故障诊断[J]. 2025, 46(6): 229-237.
DOI：

沈大力, 董砚, 杨富荃, et al. 基于小室电压特征的PEM电解槽故障诊断[J]. 2025, 46(6): 229-237. DOI： doi:10.19912/j.0254-0096.tynxb.2024-0207.

摘要

为快速检测和准确识别电解槽故障

提出一种基于交错电压检测电路的加权修正方差算法和改进相关系数算法结合的故障诊断方法

对具有电压特征的电解槽多种小室故障进行识别和诊断。首先

采用小室交错电压检测的方法

结合加权修正方差算法提取故障特征

从而识别是否存在故障

以及区分电解槽小室故障和电压传感器故障。其次

考虑到可再生能源制氢时电压的波动性

提出利用小室间电压的相关性

采用改进相关系数算法

进行电解槽短路、缺水等故障的诊断。经过算例分析与结果对比

验证了故障诊断方法的可行性。

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.

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references

马晓锋, 张舒涵, 何勇, 等. PEM电解水制氢技术的研究现状与应用展望[J]. 太阳能学报, 2022, 43(6): 420-427.

张盛, 郑津洋, 戴剑锋, 等. 可再生能源大规模制氢及储氢系统研究进展[J]. 太阳能学报, 2024, 45(1): 457-465.

李亮荣, 彭建, 付兵, 等. 碳中和愿景下绿色制氢技术发展趋势及应用前景分析[J]. 太阳能学报, 2022, 43(6): 508-520.

FENG Q, YUAN X Z, LIU G Y, et al.A review of proton exchange membrane water electrolysis on degradation mechanisms and mitigation strategies[J]. Journal of power sources, 2017, 366: 33-55.

YUE M L, LAMBERT H, PAHON E, et al.Hydrogen energy systems: a critical review of technologies, applications, trends and challenges[J]. Renewable and sustainable energy reviews, 2021, 146: 111180.

MILLET P, RANJBARI A, DE GUGLIELMO F, et al.Cell failure mechanisms in PEM water electrolyzers[J]. International journal of hydrogen energy, 2012, 37(22): 17478-17487.

LIU C, WRUBEL J, PADGETT E, et al.The impacts of membrane pinholes on PEM water electrolysis[J]. Journal of power sources, 2023, 581: 233507.

IMMERZ C, BENSMANN B, TRINKE P, et al.Local current density and electrochemical impedance measurements within 50 cm single-channel PEM electrolysis cell[J]. Journal of the Electrochemical Society, 2018, 165(16): F1292-F1299.

IMMERZ C, SCHWEINS M, TRINKE P, et al.Experimental characterization of inhomogeneity in current density and temperature distribution along a single-channel PEM water electrolysis cell[J]. Electrochimica acta, 2018, 260: 582-588.

BORGARDT E, GIESENBERG L, RESKA M, et al.Impact of clamping pressure and stress relaxation on the performance of different polymer electrolyte membrane water electrolysis cell designs[J]. International journal of hydrogen energy, 2019, 44(42): 23556-23567.

MORENO SORIANO R, ROJAS N, NIETO E, et al.Influence of the gasket materials on the clamping pressure distribution in a PEM water electrolyzer: bolt torques and operation mode in pre-conditioning[J]. International journal of hydrogen energy, 2021, 46(51): 25944-25953.

LEBBAL M E, LECŒUCHE S. Identification and monitoring of a PEM electrolyser based on dynamical modelling[J]. International journal of hydrogen energy, 2009, 34(14): 5992-5999.

SOOD S, PRAKASH O, DIEULOT J Y, et al.Robust diagnosis of PEM electrolysers using LFT bond graph[J]. International journal of hydrogen energy, 2022, 47(80): 33938-33954.

BERRIAH S, BUADES M D, TREMBLAY G J, et al.Method for detecting faults in electrolyser, involves comparing voltage measurements to synthetic cell voltages for corresponding ones of electrolysis cells to obtain voltage differences[P]. Canada: CA3105842-A1.

LI X Y, WANG Z P.A novel fault diagnosis method for lithium-Ion battery packs of electric vehicles[J]. Measurement, 2018, 116: 402-411.

XIA B, NGUYEN T, YANG J F, et al.The improved interleaved voltage measurement method for series connected battery packs[J]. Journal of power sources, 2016, 334: 12-22.

KANG Y Z, DUAN B, ZHOU Z K, et al.Online multi-fault detection and diagnosis for battery packs in electric vehicles[J]. Applied energy, 2020, 259: 114170.

LI Z X, YANG Y, LI L W, et al.A weighted Pearson correlation coefficient based multi-fault comprehensive diagnosis for battery circuits[J]. Journal of energy storage, 2023, 60: 106584.

LIN T T, CHEN Z Q, ZHOU S Y.Voltage-correlation based multi-fault diagnosis of lithium-ion battery packs considering inconsistency[J]. Journal of cleaner production, 2022, 336: 130358.

康永哲. 锂离子电池组容量估计与故障诊断方法研究[D]. 济南: 山东大学, 2021.

SUN J, LU G P, SHANG Y L, et al.A minor-fault diagnosis approach based on modified variance for lithium-ion battery strings[J]. Journal of energy storage, 2023, 63: 106965.

WU X G, WEI Z X, WEN T, et al.Research on short-circuit fault-diagnosis strategy of lithium-ion battery in an energy-storage system based on voltage cosine similarity[J]. Journal of energy storage, 2023, 71: 108012.

温涛. 锂离子电池内短路故障电热特性等效实验及诊断方法研究[D]. 哈尔滨: 哈尔滨理工大学, 2022.

贺飞, 张雪霞, 陈维荣. 基于P-L双重特征提取的PEMFC系统故障诊断方法[J]. 太阳能学报, 2024, 45(1): 492-499.

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