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Validation of an In Situ Material Qualification Method for PEM Fuel Cells Using Statistical Confidence Analysis.

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Title: Validation of an In Situ Material Qualification Method for PEM Fuel Cells Using Statistical Confidence Analysis.
Authors: Grün, Denis1 (AUTHOR) d.gruen@zbt.de, Misz, Ulrich1 (AUTHOR)
Source: Energies (19961073). May2026, Vol. 19 Issue 9, p2166. 13p.
Subject Terms: *Proton exchange membrane fuel cells, *Statistical accuracy, *Research protocols, *Statistical reliability, *Materials testing, *On-site evaluation
Abstract: Due to the high sensitivity of proton exchange membrane fuel cells (PEMFCs) to feed gas contamination through balance of plant (BOP) materials, in situ qualification plays a crucial role to secure performance, durability, and economic viability. To be able to deliver verified and accurate qualification results it is necessary to analyze the test method in detail and to perform repetitions on certain measurements. This work focuses on validation of an in situ material qualification test method in terms of measuring precision on a previously developed test bench and statistical significance of collected data. As a statistical approach t-test was used to calculate confidence intervals based on a sample size of 15 reference measurements with the same parameters and setup but variable membrane electrode assemblies (MEAs). The results show substantial reduction in confidence intervals with growing measurement's sample size clearly quantifying accuracy of the analyzed methodology. The precision of the test method, as indicated by the calculated confidence intervals of irreversible voltage loss is approximately 1.21 mV, corresponding to a relative deviation of about 0.17% with respect to the calculated mean value across all steady-state phases (SSPs). This approach also provides an insight into the natural degradation behavior of the tested MEAs. The calculated effects can serve as a basis for design of experiments (DOE) in future test series. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 193716062
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
  Group: Ti
  Data: Validation of an In Situ Material Qualification Method for PEM Fuel Cells Using Statistical Confidence Analysis.
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  Data: <searchLink fieldCode="AR" term="%22Grün%2C+Denis%22">Grün, Denis</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> d.gruen@zbt.de</i><br /><searchLink fieldCode="AR" term="%22Misz%2C+Ulrich%22">Misz, Ulrich</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 9, p2166. 13p.
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  Data: *<searchLink fieldCode="DE" term="%22Proton+exchange+membrane+fuel+cells%22">Proton exchange membrane fuel cells</searchLink><br />*<searchLink fieldCode="DE" term="%22Statistical+accuracy%22">Statistical accuracy</searchLink><br />*<searchLink fieldCode="DE" term="%22Research+protocols%22">Research protocols</searchLink><br />*<searchLink fieldCode="DE" term="%22Statistical+reliability%22">Statistical reliability</searchLink><br />*<searchLink fieldCode="DE" term="%22Materials+testing%22">Materials testing</searchLink><br />*<searchLink fieldCode="DE" term="%22On-site+evaluation%22">On-site evaluation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Due to the high sensitivity of proton exchange membrane fuel cells (PEMFCs) to feed gas contamination through balance of plant (BOP) materials, in situ qualification plays a crucial role to secure performance, durability, and economic viability. To be able to deliver verified and accurate qualification results it is necessary to analyze the test method in detail and to perform repetitions on certain measurements. This work focuses on validation of an in situ material qualification test method in terms of measuring precision on a previously developed test bench and statistical significance of collected data. As a statistical approach t-test was used to calculate confidence intervals based on a sample size of 15 reference measurements with the same parameters and setup but variable membrane electrode assemblies (MEAs). The results show substantial reduction in confidence intervals with growing measurement's sample size clearly quantifying accuracy of the analyzed methodology. The precision of the test method, as indicated by the calculated confidence intervals of irreversible voltage loss is approximately 1.21 mV, corresponding to a relative deviation of about 0.17% with respect to the calculated mean value across all steady-state phases (SSPs). This approach also provides an insight into the natural degradation behavior of the tested MEAs. The calculated effects can serve as a basis for design of experiments (DOE) in future test series. [ABSTRACT FROM AUTHOR]
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        Value: 10.3390/en19092166
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 2166
    Subjects:
      – SubjectFull: Proton exchange membrane fuel cells
        Type: general
      – SubjectFull: Statistical accuracy
        Type: general
      – SubjectFull: Research protocols
        Type: general
      – SubjectFull: Statistical reliability
        Type: general
      – SubjectFull: Materials testing
        Type: general
      – SubjectFull: On-site evaluation
        Type: general
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      – TitleFull: Validation of an In Situ Material Qualification Method for PEM Fuel Cells Using Statistical Confidence Analysis.
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 19
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              Value: 9
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            – TitleFull: Energies (19961073)
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