Key factor governing transient maldistribution in proton exchange membrane fuel cells: A numerical study on decoupling modeling framework and sorption rate asymmetry
- Authors
- Lee, Sumin; Sohn, Young-Jun; Choi, Yoon-Young; Lim, In Seop; Um, Sukkee; Oh, Hwanyeong
- Issue Date
- Jan-2027
- Publisher
- ELSEVIER SCI LTD
- Keywords
- Proton exchange membrane fuel cell; Transient model; Ionomer water content; Sorption rate; Current density distribution
- Citation
- FUEL, v.428, pp 1 - 20
- Pages
- 20
- Indexed
- SCIE
SCOPUS
- Journal Title
- FUEL
- Volume
- 428
- Start Page
- 1
- End Page
- 20
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/218037
- DOI
- 10.1016/j.fuel.2026.140159
- ISSN
- 0016-2361
1873-7153
- Abstract
- Accurate transient modeling of proton exchange membrane fuel cells (PEMFCs) requires careful treatment of ionomer water sorption and desorption kinetics. To address uncertainties in modeling approaches, this study utilizes a transient, three-dimensional, two-phase, non-isothermal model under 50% relative humidity conditions. We first compared widely used representative sorption-rate models, which differ in modeling frameworks (equation-based vs. constant-rate) and sorption-rate coefficient symmetry (symmetric vs. asymmetric). Their intertwined characteristics were then systematically decoupled to assess the isolated effect of each factor on transient dynamics. Within the load-step protocols and operating conditions investigated in this study, the modeling framework has a secondary influence on predicted transient behaviors and spatial distributions, as a constant-rate model with matched time-averaged coefficients captures the main trends of the equation-based results. In contrast, sorption-rate coefficient symmetry plays a decisive role. Desorption-dominant asymmetry in the sorption-rate coefficients causes severe local dehydration and a redistribution of current density during galvanostatic transients. Among water phases, the ionomer water content shows the greatest sensitivity to the sorption-rate model, with the most direct link to the current density distribution. This 3D analysis provides guidance for future modeling by showing how sorption-rate model selection and coefficient parameterization influence the prediction of transient performance and spatial nonuniformity, which are not observable in lower-dimensional models.
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