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Research Papers

Causal and Fault Trees Analysis of Proton Exchange Membrane Fuel Cell Degradation

[+] Author and Article Information
Kais Brik

Research Laboratory Materials,
Measurements and Applications,
University of Carthage,
Centre Urbain Nord,
BP No. 676,
Tunis 1080, Tunisia
e-mail: Kais.brik@yahoo.fr

Faouzi Ben Ammar

Research Laboratory Materials,
Measurements and Applications,
University of Carthage,
Centre Urbain Nord,
BP No. 676,
Tunis 1080, Tunisia
e-mail: Faouzi.benamar@yahoo.fr

Abdesslam Djerdir

FClab,
University of Technology of Belfort-Montbéliard,
Belfort 90000, France
e-mail: abdesslem.djerdir@utbm.fr

Abdellatif Miraoui

FClab,
University of Technology of Belfort-Montbéliard, Belfort 90000, France
e-mail: abdellatif.miraoui@utbm.fr

1Corresponding author.

Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF FUEL CELL SCIENCE AND TECHNOLOGY. Manuscript received October 2, 2014; final manuscript received August 30, 2015; published online October 6, 2015. Assoc. Editor: Rak-Hyun Song.

J. Fuel Cell Sci. Technol 12(5), 051002 (Oct 06, 2015) (8 pages) Paper No: FC-14-1119; doi: 10.1115/1.4031584 History: Received October 02, 2014; Revised August 30, 2015

This paper presents a reliability approach to analyze the degradation of proton exchange membrane fuel cell. This approach is based on the dependability analysis tools such as the causal and fault trees to establish an analysis of the internal state of the fuel cell energy conversion performance and evaluate its lifetime. The elaboration of causal tree offers powerful tools to a deductive analysis, which consists on seeking the various combinations of events leading to the fuel cell degradation. The parameters of fuel cell model are identified in order to found the degree of degradation. The experimental determination of the variation interval of the parameters is done according to each of degradation modes. A diagnostic method is proposed in order to identify the depth of each aging process of the fuel cell. The diagnosis is done by comparing the experimental output characteristic at beginning of life of the fuel cell with the used fuel cell to qualify and quantify the depth of degradation.

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References

Figures

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Fig. 2

Causal tree of fuel cell system

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Fig. 3

Causal tree of fuel cell system

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Fig. 4

Causal tree of membrane

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Fig. 5

Causal tree of electrode

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Fig. 6

Output characteristic of Nexa cell fuel

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Fig. 7

Fault tree analysis of the fuel cell degradation

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Fig. 8

Limit variation of r (0.43 ≤ r ≤ 0.658)

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Fig. 9

Limit variation of A (0.0291 ≤ A ≤ 0.0712)

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Fig. 10

Fault tree analysis of the deficiency presenting the limiting values

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Fig. 11

Synoptic diagram of the diagnosis system

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Fig. 12

Output characteristic of the used Nexa cell fuel

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