Variance-Based Sensitivity Analysis of Fitting Parameters to Impact on Cycling Durability of Polymer Electrolyte Fuel Cells

Victor A. Kovtunenko

doi:10.3390/technologies10060111

journal article Open Access Oct 28, 2022

Variance-Based Sensitivity Analysis of Fitting Parameters to Impact on Cycling Durability of Polymer Electrolyte Fuel Cells

Victor A. Kovtunenko

Technologies Vol. 10 No. 6 pp. 111 · MDPI AG

View at Publisher Save 10.3390/technologies10060111

Abstract

Degradation of a catalyst layer in polymer electrolyte membrane fuel cells is considered, which is caused by electrochemical reactions of the platinum ion dissolution and oxide coverage. An accelerated stress test is applied, where the electric potential cycling is given by a non-symmetric square profile. Computer simulations of the underlying one-dimensional Holby–Morgan model predict durability of the fuel cell operating. A sensitivity analysis based on the variance quantifies how loss of the platinum mass subjected to the degradation is impacted by the variation of fitting parameters in the model.

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References

26

[1]

Eikerling, M., and Kulikovsky, A. (2017). Polymer Electrolyte Fuel Cells: Physical Principles of Materials and Operation, Elsevier.

[2]

Hacker, V., and Mitsushima, S. (2018). Fuel Cells and Hydrogen: From Fundamentals to Applied Research, Elsevier.

[3]

Kulikovsky "Positioning of a reference electrode in a PEM fuel cell" J. Electrochem. Soc. (2011) 10.1149/2.0231508jes

[4]

Hacker, V., and Mitsushima, S. (2018). Modeling of polymer electrolyte fuel cells. Fuel Cells and Hydrogen: From Fundamentals to Applied Research, Elsevier.

[5]

Membrane degradation model for 3D CFD analysis of fuel cell performance as a function of time

L. Karpenko-Jereb, C. Sternig, C. Fink et al.

International Journal of Hydrogen Energy 2016 10.1016/j.ijhydene.2016.05.229

[6]

Pandy "A carbon corrosion model to evaluate the effect of steady state and transient operation of a polymer electrolyte membrane fuel cell" J. Electrochem. Soc. (2013) 10.1149/2.036309jes

[7]

Fellner "A singularly perturbed nonlinear Poisson–Boltzmann equation: Uniform and super-asymptotic expansions" Math. Meth. Appl. Sci. (2015) 10.1002/mma.3593

[8]

Fellner "A discontinuous Poisson–Boltzmann equation with interfacial transfer: Homogenisation and residual error estimate" Appl. Anal. (2016) 10.1080/00036811.2015.1105962

[9]

Kovtunenko "Entropy method for generalized Poisson–Nernst–Planck equations" Anal. Math. Phys. (2018) 10.1007/s13324-018-0257-1

[10]

A new perspective on the electron transfer: recovering the Butler–Volmer equation in non-equilibrium thermodynamics

Wolfgang Dreyer, Clemens Guhlke, Rüdiger Müller

Physical Chemistry Chemical Physics 2016 10.1039/c6cp04142f

[11]

Kovtunenko "Corrector estimates in homogenization of a nonlinear transmission problem for diffusion equations in connected domains" Math. Meth. Appl. Sci. (2020) 10.1002/mma.6007

[12]

Kovtunenko "On generalized Poisson–Nernst–Planck equations with inhomogeneous boundary conditions: A-priori estimates and stability" Math. Meth. Appl. Sci. (2017) 10.1002/mma.4140

[13]

Kovtunenko "Mathematical modeling of a discontinuous solution of the generalized Poisson–Nernst–Planck problem in a two-phase medium" Kinet. Relat. Mod. (2018) 10.3934/krm.2018007

[14]

Kovtunenko "Homogenization of the generalized Poisson–Nernst–Planck problem in a two-phase medium: Correctors and estimates" Appl. Anal. (2021) 10.1080/00036811.2019.1600676

[15]

Kovtunenko "Existence and two-scale convergence of the generalised Poisson–Nernst–Planck problem with non-linear interface conditions" Eur. J. Appl. Math. (2021) 10.1017/s095679252000025x

[16]

Khludnev, A.M., and Kovtunenko, V.A. (2000). Analysis of Cracks in Solids, WIT-Press.

[17]

Holby "Application of Pt nanoparticle dissolution and oxidation modeling to understanding degradation in PEM fuel cells" J. Electrochem. Soc. (2012) 10.1149/2.011204jes

[18]

A One-Dimensional Pt Degradation Model for Polymer Electrolyte Fuel Cells

Yubai Li, Koji Moriyama, Wenbin Gu et al.

Journal of The Electrochemical Society 2015 10.1149/2.0101508jes

[19]

Kannan "3D graphene-mixed metal oxide-supported carbonsingle bondpalladium quantum dot nanoarchitectures—A facile bifunctional electrocatalyst for direct ethylene glycol fuel cells and oxygen evolution reactions" Int. J. Hydrogen Energy (2016) 10.1016/j.ijhydene.2016.07.179

[20]

Kumar "Green synthesis of Pt–Pd bimetallic nanoparticle decorated reduced graphene oxide and its robust catalytic activity for efficient ethylene glycol electrooxidation" New J. Chem. (2018) 10.1039/c8nj02782j

[21]

Kovtunenko "Study of voltage cycling conditions on Pt oxidation and dissolution in polymer electrolyte fuel cells" J. Power Source (2021) 10.1016/j.jpowsour.2021.229693

[22]

Kovtunenko, V.A., and Karpenko-Jereb, L. (2021). Lifetime of catalyst under voltage cycling in polymer electrolyte fuel cell due to platinum oxidation and dissolution. Technologies, 9. 10.3390/technologies9040080

[23]

Pivac "Impact of shutdown procedures on recovery phenomena of proton exchange membrane fuel cells" Fuel Cells (2020) 10.1002/fuce.201900174

[24]

Jayakumar, A., Madheswaran, D.K., and Kumar, N.M. (2021). A critical assessment on functional attributes and degradation mechanism of membrane electrode assembly components in direct methanol fuel cells. Sustainability, 13. 10.3390/su132413938

[25]

Wang "Long-term polarization accelerated degradation of nano-thin C/Ti coated SS316L bipolar plates used in polymer electrolyte membrane fuel cells" Int. J. Hydrogen Energy (2022) 10.1016/j.ijhydene.2021.12.229

[26]

Testa "Sensitivity analysis for a PEM fuel cell model aimed to optimization" WSEAS Trans. Power Syst. (2015)

Cited By

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The Holby–Morgan Model of Platinum Catalyst Degradation in PEM Fuel Cells: Range of Feasible Parameters Achieved Using Voltage Cycling

Victor A. Kovtunenko · 2023

Technologies

Metrics

6

Citations

26

References

Details

Published: Oct 28, 2022
Vol/Issue: 10(6)
Pages: 111
License: View

Authors

V

Victor A. Kovtunenko

Institute for Mathematics and Scientific Computing, Karl-Franzens University of Graz, NAWI Graz, Heinrichstr. 36, 8010 Graz, Austria; Lavrentyev Institute of Hydrodynamics, Siberian Division of the Russian Academy of Sciences, 630090 Novosibirsk, Russia

Funding

University of Graz

Cite This Article

Victor A. Kovtunenko (2022). Variance-Based Sensitivity Analysis of Fitting Parameters to Impact on Cycling Durability of Polymer Electrolyte Fuel Cells. Technologies, 10(6), 111. https://doi.org/10.3390/technologies10060111

Variance-Based Sensitivity Analysis of Fitting Parameters to Impact on Cycling Durability of Polymer Electrolyte Fuel Cells

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