Degradations analysis and aging modeling for health assessment and prognostics of PEMFC

Jouin, Marine; Gouriveau, Rafael; Hissel, Daniel; Péra, Marie‐Cécile; Zerhouni, Noureddine

doi:10.1016/j.ress.2015.12.003

Cited by 239 publications

(81 citation statements)

References 46 publications

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“…The degradation of a PEMFC stack can be assessed from different measurements. The stack voltage (or power) is the most commonly used indicator in literature [4,5,6,7]. Since this indicator can be continuously monitored in PEMFC applications, it is a good candidate for online prognostic purposes.…”

Section: Introductionmentioning

confidence: 99%

“…Model-based approaches use mathematical equations to describe degradation phenomena and predict failure times. They can be applied only when knowledge about failure mechanisms, material properties and external loading is available [5]. These approaches are used in specific applications, where an accurate analytic description of the system behavior has been developed.…”

Section: Introductionmentioning

confidence: 99%

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An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of Proton Exchange Membrane Fuel Cells

Zhang

Baraldi

Cadet

et al. 2019

Mechanical Systems and Signal Processing

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of Proton Exchange Membrane Fuel Cells

Zhang

Baraldi

Cadet

et al. 2019

Mechanical Systems and Signal Processing

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“…The ageing and reversible degradations have a direct impact on the stack output voltage/power, which is a noninvasive parameter that is easy to monitor in a PEMFC. Morando et al used mean cell voltage [17,18], stack voltage [19] and stack power as a degradation indicator [20].…”

Section: Fuel Cell Degradationmentioning

confidence: 99%

Proton Exchange Membrane Fuel Cell Model for Prognosis

Detti

Jemeï

Steiner

2018

2018 IEEE Vehicle Power and Propulsion Conference (VPPC)

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The deployment at a large-scale of fuel cells will only occur if it is sufficiently competitive with other conventional energy generation solutions. Indeed, it is essential that these new technologies can provide acceptable performance and guarantee continuity of service for users. This involves the deployment of a robust, fault tolerant and ageing resilient systems. Fuel cell systems, by their technology, have behaviors that are difficult to apprehend. The nonlinear nature of the phenomena, the reversible or non-reversible character of the degradations, and the interactions between components and parameters make the modeling of aging a difficult task [2]. It is however necessary to develop a complete ageing model of a Fuel Cell system depending on the operating conditions in order to extend the lifetime of the system by setting appropriate control. Fault and degradation tolerant control, or by setting predictive maintenance. In this work, we present a mathematical model that will be used for fuel cell system prognosis, part of a global fault resilient approach. The model developed has been validated on experimental tests. Keywords-proton exchange membrane fuel cell; prognosis; fuel cell ageing, fuel cell model.

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“…An analysis of degradation phenomena was made by Jouin et al . According to , the proton exchange membrane and electrodes with catalyst layers are key elements of non‐nominal operation, which most likely lead to failures, system degradation or even its death.…”

Section: Introductionmentioning

confidence: 99%

Electrochemical Noise as a Diagnostic Tool for PEMFC

et al. 2016

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A promising direction for improving proton exchange membrane fuel cells (PEMFCs) is the increase of their reliability and operating time without failure. Therefore, the problem of a reliable diagnostic tool is important. It has been theoretically deduced that a non uniform current distribution causes the increase of power spectral density of the flicker‐noise component of electrical fluctuations, which was experimentally confirmed for the case of excess humidification. Theoretical investigations allow to conclude that other reasons of current non uniformity, for example incorrect stoichiometry, can lead to similar results as well. Experimental findings show that the behavior and parameters of electrical fluctuations depend on the fuel cell operation mode and technical state of its components. This paper shows that electrical fluctuations reflect physical processes inside the fuel cell. Thus, the electrical fluctuations can be considered as a reliable diagnostics tool for PEMFC.

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Degradations analysis and aging modeling for health assessment and prognostics of PEMFC

Cited by 239 publications

References 46 publications

An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of Proton Exchange Membrane Fuel Cells

An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of Proton Exchange Membrane Fuel Cells

Proton Exchange Membrane Fuel Cell Model for Prognosis

Electrochemical Noise as a Diagnostic Tool for PEMFC

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