Published September 15, 2016 | Version v1
Journal article

Analytical calculation and evaluation of water transport through a proton exchange membrane fuel cell based on a one-dimensional model

  • 1. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084 (China)
  • 2. Collaborative Innovation Center of Electric Vehicles, Beijing 100081 (China)
  • 3. Institute of Energy and Climate Research, IEK-3: Electrochemical Process Engineering, Forschungszentrum Jülich GmbH, 52425 Jülich (Germany)

Description

A one-dimensional model accounting for chief water transport phenomena in proton exchange membrane (PEM) fuel cell is developed. The water transfer process in catalyst layers (membrane water absorption/desorption) is explicitly taken into account and the mathematical descriptions of the Schroeder's paradox are presented in this model. In addition, to solve two-phase problems in gas diffusion layers (GDLs) without using complex numerical approach, the assumption of an infinite phase change rate is applied and the analytical solutions to the two-phase model equations are derived. Based on the model and the analytical solutions, an identification procedure using the iterative approach is proposed to (1) determine the net water flux through the membrane, (2) obtain exact water profiles in all components of PEM fuel cell and (3) predict the dehydration and flooding. The AC impedance technique is used to analyze the cell performance and the predicting capability of the model-based approach is validated. The measurements and predictions both reveal the effect of electro-osmotic drag on drying the anode at high current and the trade-off between membrane dehydration and water flooding in the cell. - Highlights: • Specific water transfer process in catalyst layer is described mathematically. • Analytical solutions are derived to the two-phase problem in gas diffusion layer. • Net water flux through membrane is calculated based on an iterative approach. • Entire water distribution profiles are obtained to predict dry/flooding conditions.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2016.06.020

Additional details

Identifiers

DOI
10.1016/j.energy.2016.06.020;
PII
S0360-5442(16)30793-9;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
111
Journal Page Range
p. 869-883
ISSN
0360-5442
CODEN
ENEYDS

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.