Proton exchange membrane fuel cell dynamic model based on time series analysis for fault diagnosis

Barhate, Sujit Sopan; Mudhalwadkar, Rohini

doi:10.1504/ijret.2021.118509

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2023

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“…Figures 2 and 3 show, respectively, the ratios dP∕dV and dV∕di for each operating condition. The graphs show the difference in the performance of the fuel cell in a fault condition from a healthy one [9].…”

Section: B Ratio Comparisonmentioning

confidence: 99%

See 1 more Smart Citation

Fault Detection Methods Suitable for Automotive Applications in Proton Exchange Fuel Cells

Barhate¹,

Mudhalwadkar²,

Madhe³

2022

Eng. Technol. Appl. Sci. Res.

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The fault conditions degrade the performance of proton exchange fuel cells and reduce their useful life. The prolonged existence of a fault condition can permanently damage the fuel cell. This paper proposes four methods for fault detection and fault type isolation. These methods were based on the coefficient of variance, ratios of change in output power to change in voltage and change in output voltage to the change in current, fuzzy membership values and Euclidian distance, and wavelet transform. These methods are non-invasive to the fuel cell and involve non-destructive testing. These methods were experimentally validated.

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Section: B Ratio Comparisonmentioning

confidence: 99%

“…The degradation of the fuel cell output under various fault conditions and aging was studied in [8]. Output voltage and power degradation for the expected output are modeled as ratios that can detect the fault, and their thresholds help to isolate the defect type [9].…”

Section: Introductionmentioning

confidence: 99%