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Updated: Feb 10, 2026

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A Novel Method to Indirectly Measure Electro-osmotic Drag and Back Diffusion From Total Water Flow Experiments in PEM
Nicholas A Ingarra1, Krzysztof Chris J Kobus1
1Department of Mechanical Engineering, Oakland University, Rochester, Michigan 48309, United States.
ACS Omega
|February 9, 2026
Summary
This study quantifies electro-osmotic drag and back diffusion in proton exchange membranes. A new method improves water flow prediction, enhancing fuel cell performance and preventing membrane issues.
Area of Science:
- Electrochemistry
- Materials Science
- Chemical Engineering
Background:
- Proton exchange membranes (PEMs) are crucial in fuel cells.
- Accurate quantification of water transport mechanisms (electro-osmotic drag, back diffusion) is essential for PEM performance.
- Previous methods for calculating transport coefficients had limitations, potentially misattributing water flow drivers.
Purpose of the Study:
- To precisely quantify the electro-osmotic drag and back diffusion components of total water flow across a proton exchange membrane.
- To address the deficiencies in prior research regarding the calculation of individual transport coefficients.
- To develop a more accurate model for predicting water flow in PEMs.
Main Methods:
- Utilized a higher-order polynomial data fit for total water flow to account for hydration state dependency.
- Proposed a methodology combining a theoretical model with experimental data sets.
- Determined component coefficients at each data point by fitting experimental data to the theoretical model.
Main Results:
- Identified that previously assumed negligible fluid drivers significantly impact water flow.
- Demonstrated that linear trendlines and origin forcing in prior research led to inaccurate coefficient measurements.
- Showcased the dependency of electro-osmotic drag and back diffusion coefficients on membrane hydration state.
Conclusions:
- The developed methodology provides a more accurate determination of electro-osmotic drag and back diffusion coefficients.
- Improved understanding of water transport enables better prediction of total water flow.
- Enhanced water management in fuel cells can reduce risks of cathode flooding and membrane dry-out, improving overall efficiency and longevity.
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