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Title: Advanced characterization of polymer electrolyte fuel cells using a two-phase time-dependent model
Authors : Herrendörfer, Robert
Schumacher, Jürgen O.
Proceedings: 16th symposium on modeling and experimental validation of electrochemical energy technologies (ModVal 2019) : book of abstracts
Conference details: ModVal 2019, Braunschweig, Germany, 12 - 13 March 2019
Editors of the parent work: Krewer, Ulrike
Laue, Vincent
Redeker, Andreas
Publisher / Ed. Institution : Institute of Energy and Process Systems Engineering
Issue Date: 2019
License (according to publishing contract) : Not specified
Type of review: Peer review (Abstract)
Language : English
Subjects : Proton exchange membrane fuel cell model; Numerical simulation; Two-phase; Time dependent
Subject (DDC) : 621.3: Electrical engineering and electronics
Abstract: For polymer electrolyte fuel cells (PEFC) to become competitive, their operation in transport applications requires optimized performance, durability and costs. An indispensable component of this optimization is a detailed time-dependent characterization of PEFCs. For this purpose, several dynamic single-cell PEFC numerical models have been developed in the last 15 years. Here we present a new modeling approach with an advanced material parameterization of all governing time-dependent processes. This new modeling approach is based on the 1-D steady-state two-phase, five-layer PEFC model with a comprehensive material parametrization [1]. We further developed this approach by including the time-dependency of electron, proton, heat, dissolved water, gas and liquid water transport. Implementation in COMSOL allows for accurate spatio-temporal resolution and flexible model setups. We develop an improved electrochemical spectroscopy method by applying a sinusoidal perturbation of varying amplitude to the cell voltage. In contrast to (small-signal) electrical impedance spectroscopy, our model numerically solves for the nonlinear time-dependent response of the fuel cell, which enables us to retrieve information from large signals. We compute the response spectra at different operating points not only for electrical current density but also for dissolved water, liquid water, temperature and gas concentration and their gradients. These nonlinear response spectra serve for the development of improved model-based characterization techniques and fuel cell diagnostics. Acknowledgements: Financial support from the Swiss Federal Office of Energy (SFOE contract number: SI/501764-01) is gratefully acknowledged.
Departement: School of Engineering
Organisational Unit: Institute of Computational Physics (ICP)
Publication type: Conference Poster
DOI : 10.21256/zhaw-2790
Published as part of the ZHAW project : Neue Charakterisierungsmethoden von Brennstoffzellenstacks für den Einsatz im Automobilbereich (ACTIF)
Appears in Collections:Publikationen School of Engineering

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