A double-fuzzy diagnostic methodology dedicated to online fault diagnosis of proton exchange membrane fuel cell stacks

Zheng, Zhixue; Péra, Marie‐Cécile; Hissel, Daniel; Becherif, Mohamed; Agbli, Kréhi-Serge; Li, Yongdong

doi:10.1016/j.jpowsour.2014.07.157

Cited by 95 publications

(42 citation statements)

References 35 publications

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“…Through a detailed observation on the high frequency part in the left and lower part of Fig.4, it could be found that the faulty status could be predicted based on the high frequency points without the 6 necessity of waiting for the whole spectrum. This is quite beneficial for the health status of fuel cell stacks [26][27][28]. The experimental data in Fig.…”

Section: Diagnosis Techniques Using Electrochemical Impedance Spectromentioning

confidence: 99%

“…) . sin( (26) Where A, B, C and D are constant parameters to be tuned. y and x are the impedance imaginary and real parts, respectively.…”

Section: Eis Estimation Using Sinusoidal Functionmentioning

confidence: 99%

“…Thus, the faulty status could be predicted in an early time by detecting the discrepancy of the measured high frequency points from those obtained under normal conditions. This function is also called "prognostic" in some literature [25,26].…”

Section: Introductionmentioning

confidence: 99%

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Determination of the health state of fuel cell vehicle for a clean transportation

Becherif

Péra

Hissel

et al. 2018

Journal of Cleaner Production

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The penetration of Fuel Cell vehicle in a large scale market requires efficiency, long life cycle use and health state monitoring of the key powertrain element: the fuel cell stack. This paper presents three novel methods for an efficient and rapid estimation of the Electrochemical Impedance Spectrum (EIS) of the Fuel Cell. The EIS is a very useful technique for fault detection of electrochemical systems as FC. To perform EIS, measurements at high frequencies are quite easy and rapid to perform but the measurements at low (and very low) frequencies can take a long time to proceed. This long delay to obtain those low-frequency measurements can limit the applicability of the methodology, especially when considering that stationary operating conditions of FC are quite difficult to maintain, nevertheless required for guarantying the quality of the measurements. A method allowing an accurate estimation of the FC EIS at low and very low frequencies could be of a great interest to solve this issue. Authors present different FC EIS estimation methods in order to overcome the drawback of the EIS method used in the fault detection. The three different methods are validated experimentally and the performances are compared.

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Section: Diagnosis Techniques Using Electrochemical Impedance Spectromentioning

confidence: 99%

“…) . sin( (26) Where A, B, C and D are constant parameters to be tuned. y and x are the impedance imaginary and real parts, respectively.…”

Section: Eis Estimation Using Sinusoidal Functionmentioning

confidence: 99%

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Determination of the health state of fuel cell vehicle for a clean transportation

Becherif

Péra

Hissel

et al. 2018

Journal of Cleaner Production

Self Cite

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“…Unfortunately, many challenges remain for the wide commercialization of fuel cells. Besides the need to reduce the cost of materials, much remains to be done in terms of performance, reliability and stable control of the fuel cell , , .…”

Section: Introductionmentioning

confidence: 99%

Statistical Short Time Analysis for Proton Exchange Membrane Fuel Cell Diagnostic‐Application to Water Management

et al. 2019

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High frequency concomitant voltage and pressure measurements on a single proton exchange membrane fuel cell are presented in this paper. Voltage, anodic and cathodic pressure measurements were shown to be highly sensitive to gas relative humidity and temperature of the cell. Fast voltage dips corresponding to pressure spikes at the anode were observed and indicate a flooding occurrence due to the blockage of anode inlet by liquid water. In a generalize flooding of the cell, pressure drop fluctuations are easily recognizable and result in voltage fluctuations and drift. A methodology based on short‐time analysis on both, voltage and pressure signals, is used to quantify the effects of flooding and drying within proton exchange membrane fuel cell (PEMFC) systems. Intermittent behavior is highlighted on the standard deviation of the voltage for flooding and drying cases. Simultaneous analysis of the standard deviation short‐time for voltage and pressure signals allows for the differentiation between flooding and drying cases. Concomitant pressure and voltage fluctuations can be easily detected and monitored for a reliable diagnostic of proton exchange membrane fuel cell systems.

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“…To distinguish and isolate the different faults a series of features are proposed in the following. It is worth noting that this paper reports on the results of a preliminary study aimed to select a suitable common set of features to be used on different diagnostic approaches , , and particularly on data‐driven methods . Features selection is performed combining the impedance spectra analysis both on the Nyquist and Bode (magnitude and phase) diagrams.…”

Section: Introductionmentioning

confidence: 99%

Characterization of an H₂/O₂ PEMFC Short‐Stack Performance Aimed to Health‐State Monitoring and Diagnosis

et al. 2017

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Proton exchange membrane fuel cell (PEMFC) is one of the most promising technologies in energy conversion. Nevertheless, improper operating conditions can severely affect the fuel cell (FC) lifespan. It is a matter of fact, that several degradation mechanisms could take place inside the cell in case of abnormal operating conditions. Among these, improper water managements, fuel quality and starvation conditions can show critical effects on PEMFC performance. Furthermore, if the exposure time to these faulty conditions resulted quite long, irreversible degradations and system ageing would occur. This work aims to investigate the impact of both improper water managements and reactants starvation conditions on H2/O2 PEMFC short‐stacks performance. To this purpose, the experimental activity performed to characterize the stack health‐state both in normal and abnormal conditions is presented. Particular attention is dedicated to the effects caused by improper conditions on stack electrochemical impedance spectroscopy (EIS) measurements' variations. Depending on the faulty conditions, the experimental results are then analyzed for health‐state monitoring and diagnosis purposes.

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A double-fuzzy diagnostic methodology dedicated to online fault diagnosis of proton exchange membrane fuel cell stacks

Cited by 95 publications

References 35 publications

Determination of the health state of fuel cell vehicle for a clean transportation

Determination of the health state of fuel cell vehicle for a clean transportation

Statistical Short Time Analysis for Proton Exchange Membrane Fuel Cell Diagnostic‐Application to Water Management

Characterization of an H₂/O₂ PEMFC Short‐Stack Performance Aimed to Health‐State Monitoring and Diagnosis

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A double-fuzzy diagnostic methodology dedicated to online fault diagnosis of proton exchange membrane fuel cell stacks

Cited by 95 publications

References 35 publications

Determination of the health state of fuel cell vehicle for a clean transportation

Determination of the health state of fuel cell vehicle for a clean transportation

Statistical Short Time Analysis for Proton Exchange Membrane Fuel Cell Diagnostic‐Application to Water Management

Characterization of an H2/O2 PEMFC Short‐Stack Performance Aimed to Health‐State Monitoring and Diagnosis

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Product

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Characterization of an H₂/O₂ PEMFC Short‐Stack Performance Aimed to Health‐State Monitoring and Diagnosis