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Microscopic Model for Cyclic Voltammetry of Porous Electrodes

Yiting Lin, Cheng Lian, Mikel Unibaso Berrueta, Honglai Liu, René van Roij

2022Physical Review Letters57 citationsDOIOpen Access PDF

Abstract

Cyclic voltammetry (CV) is a widespread experimental technique for characterizing electrochemical devices such as supercapacitors. Despite its wide use, a quantitative relation between CV and microscopic properties of supercapacitors is still lacking. In this Letter, we use both the microscopic ``stack-electrode'' model and its equivalent circuit for predicting the cyclic voltammetry of electric double-layer formation in porous electrodes. We find that the dimensionless combination $\ensuremath{\omega}{\ensuremath{\tau}}_{n}$, with $\ensuremath{\omega}$ the scan frequency of the time-dependent potential and ${\ensuremath{\tau}}_{n}$ the relaxation timescale of the stack-electrode model, governs the CV curves and capacitance: the capacitance is scan-rate independent for $\ensuremath{\omega}{\ensuremath{\tau}}_{n}\ensuremath{\ll}1$ and scan-rate dependent for $\ensuremath{\omega}{\ensuremath{\tau}}_{n}\ensuremath{\gg}1$. With a single fit parameter and all other model parameters dictated by experiments, our model reproduces experimental CV curves over a wide range of $\ensuremath{\omega}$. Meanwhile, the influence of the pore size distribution on the charging dynamics is investigated to explain the experimental data.

Topics & Concepts

Cyclic voltammetryHorizontal scan rateMaterials scienceStack (abstract data type)CapacitanceSupercapacitorDimensionless quantityElectrodeEquivalent circuitRelaxation (psychology)PorosityAnalytical Chemistry (journal)ElectrochemistryThermodynamicsComposite materialPhysicsChemistryChromatographyPhysical chemistryVoltageSocial psychologyProgramming languageComputer sciencePsychologyQuantum mechanicsSupercapacitor Materials and FabricationConducting polymers and applicationsElectrochemical Analysis and Applications
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