Analysis of Galvanostatic Data from Electrochemical Capacitors

The ability to deconvolute charge storage mechanisms in electrochemical capacitor materials and systems is essential for understanding and improving behaviour. From an electrochemical perspective, this deconvolution can be achieved through an understanding of the expected response of a particular contribution. Voltametric measurements can be deconvoluted through the current response relative to the applied sweep rate. Herein we describe an analogous approach for galvanostatic data in which the charge or discharge time is related to the applied current (I). Specifically, capacitive charge storage is shown proportional to I −1 , while diffusional processes are proportional to I 2 . Coupling this with a constant contribution from ohmic and residual charge storage processes allows for an effective approach to deconvolution for galvanostatic data. This is demonstrated with data from a glassy carbon electrode in non-aqueous electrolyte (an expected electrical double layer system) and from a manganese dioxide electrode in aqueous electrolyte (an expected pseudo-capacitive system).

Authors

Publication Details

Journal
Journal of The Electrochemical Society
Published
2024-10-24
DOI
https://doi.org/10.1149/1945-7111/ad8ac4
Citations
2
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.69

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Galvanostatic Data from Electrochemical Capacitors

Scott W. Donne, Amanda P. Cameron, Fahad J. Mujammami
2 citations
Journal of The Electrochemical Society
Neural Networks and Applications
0.69
article

Analysis of Galvanostatic Data from Electrochemical Capacitors

Scott W. Donne, Amanda P. Cameron, Fahad J. Mujammami
article en
2 citations

Abstract

The ability to deconvolute charge storage mechanisms in electrochemical capacitor materials and systems is essential for understanding and improving behaviour. From an electrochemical perspective, this deconvolution can be achieved through an understanding of the expected response of a particular contribution. Voltametric measurements can be deconvoluted through the current response relative to the applied sweep rate. Herein we describe an analogous approach for galvanostatic data in which the charge or discharge time is related to the applied current (I). Specifically, capacitive charge storage is shown proportional to I −1 , while diffusional processes are proportional to I 2 . Coupling this with a constant contribution from ohmic and residual charge storage processes allows for an effective approach to deconvolution for galvanostatic data. This is demonstrated with data from a glassy carbon electrode in non-aqueous electrolyte (an expected electrical double layer system) and from a manganese dioxide electrode in aqueous electrolyte (an expected pseudo-capacitive system).

Journal of The Electrochemical SocietyVol. 171(11)
University of Newcastle Australia, Saudi Arabian Cultural Mission
Openalex Percentile: Top 24%
Neural Networks and Applications
0.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analysis of Galvanostatic Data from Electrochemical Capacitors — Scott W. Donne, Amanda P. Cameron, et al. · Journal of The Electrochemical Society (2024) | TGRS Research Map | TGRS