2006
DOI: 10.1149/1.2188353
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A Dynamic Mechanistic Model of an Electrochemical Interface

Abstract: We propose a dynamic mechanistic model, based on nonequilibrium thermodynamics and electrodynamics, describing the transient response to current perturbations of an electrochemical double layer at the metal/electrolyte interface in the presence of electrochemical reactions. As an example of application, we have simulated the hydrogen oxidation reaction taking place in a polymer electrolyte fuel cell anode. The model is composed of ͑i͒ a 0-D inner layer submodel describing the composition of the metallic phase … Show more

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Cited by 86 publications
(189 citation statements)
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References 48 publications
(63 reference statements)
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“…Other authors [3] derive analytical expressions of the impedance dependence with nominal current, supposing simple electrochemical mechanisms in the electrodes: the analytical expressions obtained are not reusable (they have to be recalculated if one changes a mechanism or couple it with other physicochemical phenomena); furthermore, analytical computations of complex impedances become impossible for more complicated mechanisms. In this paper we propose a multi-scale mechanistic Membrane-Electrodes Assembly (MEA) dynamic model [6][7][8] based on the distributed-parameter Bond Graph language [8][9][10][11][12][13][14] (irreversible thermodynamics and electrodynamics) and depending on the internal physical parameters. Our model is composed of an anodic and cathodic electrodes and an membrane electrolyte mechanistic submodels (the electrodes of some micrometers thickness are separated by a 20 to 100 micrometer thick membrane).…”
Section: Introductionmentioning
confidence: 99%
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“…Other authors [3] derive analytical expressions of the impedance dependence with nominal current, supposing simple electrochemical mechanisms in the electrodes: the analytical expressions obtained are not reusable (they have to be recalculated if one changes a mechanism or couple it with other physicochemical phenomena); furthermore, analytical computations of complex impedances become impossible for more complicated mechanisms. In this paper we propose a multi-scale mechanistic Membrane-Electrodes Assembly (MEA) dynamic model [6][7][8] based on the distributed-parameter Bond Graph language [8][9][10][11][12][13][14] (irreversible thermodynamics and electrodynamics) and depending on the internal physical parameters. Our model is composed of an anodic and cathodic electrodes and an membrane electrolyte mechanistic submodels (the electrodes of some micrometers thickness are separated by a 20 to 100 micrometer thick membrane).…”
Section: Introductionmentioning
confidence: 99%
“…2). The multiscale model results of the coupling of a microscale proton and electron transport description through the electrode thickness, a spatially distributed microscale model of the reactant (H 2 in the anode, O 2 in the cathode) diffusion through the Nafion ® layer, and a spatially distributed nanoscopic model of the Pt/CNafion ® interface, introduced by Franco et al elsewhere [15]. The last one is constituted of a diffuse layer and a compact layer.…”
Section: Introductionmentioning
confidence: 99%
“…The ionic groups of polyelectrolyte gels are essentially immobile (and thus are treated as uniform fixed charges), and, in contrast, their counterions freely diffuse in the entire volume of the system; our model thus extends the treatments of these ions that have been developed in soft matter physics [17][18][19][20][21][22][23] to electrochemical systems. Analogous models are used to treat electrolyzers [13][14][15]24,25 and fuel cells [26][27][28] that use polymer electrolyte membranes. We treat the cases in which counterions are not the reactants or products of electrochemical reactions.…”
Section: Resultsmentioning
confidence: 99%
“…Our theory predicts the following experimentally accessible predictions: first, voltages are mostly distributed to the interfaces between the two gels for reverse voltages and to the surfaces of the electrodes for forward voltages. This prediction may be accessible by using experimental techniques that measure local electric fields, for example, electric field-induced second harmonic generation 32 , and/or techniques that capture the signature of redistribution of counterions, for example, cyclic voltammetry, fluorescence microscopes with charged probes 10 and electrochemical impedance spectroscopy 28 . Second, the asymmetry of electric currents increases (forward currents increase and reverse currents decrease) with decreasing values of k f l 0 ðn 3=2 f Þ, see Fig.…”
Section: Discussionmentioning
confidence: 99%
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