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Interlaboratory study assessing the analysis of supercapacitor electrochemistry data

Interlaboratory study assessing the analysis of supercapacitor electrochemistry data
Interlaboratory study assessing the analysis of supercapacitor electrochemistry data
Supercapacitors are fast-charging energy storage devices of great importance for developing robust and climate-friendly energy infrastructures for the future. Research in this field has seen rapid growth in recent years, therefore consistent reporting practices must be implemented to enable reliable comparison of device performance. Although several studies have highlighted the best practices for analysing and reporting data from such energy storage devices, there is yet to be an empirical study investigating whether researchers in the field are correctly implementing these recommendations, and which assesses the variation in reporting between different laboratories. Here we address this deficit by carrying out the first interlaboratory study of the analysis of supercapacitor electrochemistry data. We find that the use of incorrect formulae and researchers having different interpretations of key terminologies are major causes of variability in data reporting. Furthermore we highlight the more significant variation in reported results for electrochemical profiles showing non-ideal capacitive behaviour. From the insights gained through this study, we make additional recommendations to the community to help ensure consistent reporting of performance metrics moving forward.
Data analysis, Electrochemical energy storage, Supercapacitors
0378-7753
Gittins, Jamie W.
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Chen, Yuan
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Arnold, Stefanie
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Augustyn, Veronica
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Balducci, Andrea
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Brousse, Thierry
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Frackowiak, Elzbieta
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Gómez-Romero, Pedro
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Kanwade, Archana
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Köps, Lukas
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Jha, Plawan Kumar
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Lyu, Dongxun
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Meo, Michele
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Pandey, Deepak
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Pang, Le
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Presser, Volker
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Rapisarda, Mario
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Rueda-García, Daniel
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Saeed, Saeed
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Shirage, Parasharam M.
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Ślesiński, Adam
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Soavi, Francesca
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Thomas, Jayan
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Titirici, Maria Magdalena
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Wang, Hongxia
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Xu, Zhen
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Yu, Aiping
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Zhang, Maiwen
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Forse, Alexander C.
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et al.
Gittins, Jamie W.
d32a126c-56a2-45c1-8dea-33c9be20e34e
Chen, Yuan
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Arnold, Stefanie
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Augustyn, Veronica
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Balducci, Andrea
c3324891-079a-464d-8ed6-19c4c6279070
Brousse, Thierry
1ccab7b8-de43-43ad-af3b-ceb0a7d23dce
Frackowiak, Elzbieta
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Gómez-Romero, Pedro
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Kanwade, Archana
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Köps, Lukas
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Jha, Plawan Kumar
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Lyu, Dongxun
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Meo, Michele
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Pandey, Deepak
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Pang, Le
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Presser, Volker
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Rapisarda, Mario
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Rueda-García, Daniel
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Saeed, Saeed
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Shirage, Parasharam M.
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Ślesiński, Adam
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Soavi, Francesca
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Thomas, Jayan
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Titirici, Maria Magdalena
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Wang, Hongxia
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Xu, Zhen
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Yu, Aiping
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Zhang, Maiwen
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Forse, Alexander C.
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Gittins, Jamie W., Chen, Yuan and Arnold, Stefanie , et al. (2023) Interlaboratory study assessing the analysis of supercapacitor electrochemistry data. Journal of Power Sources, 585, [233637]. (doi:10.1016/j.jpowsour.2023.233637).

Record type: Article

Abstract

Supercapacitors are fast-charging energy storage devices of great importance for developing robust and climate-friendly energy infrastructures for the future. Research in this field has seen rapid growth in recent years, therefore consistent reporting practices must be implemented to enable reliable comparison of device performance. Although several studies have highlighted the best practices for analysing and reporting data from such energy storage devices, there is yet to be an empirical study investigating whether researchers in the field are correctly implementing these recommendations, and which assesses the variation in reporting between different laboratories. Here we address this deficit by carrying out the first interlaboratory study of the analysis of supercapacitor electrochemistry data. We find that the use of incorrect formulae and researchers having different interpretations of key terminologies are major causes of variability in data reporting. Furthermore we highlight the more significant variation in reported results for electrochemical profiles showing non-ideal capacitive behaviour. From the insights gained through this study, we make additional recommendations to the community to help ensure consistent reporting of performance metrics moving forward.

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Accepted/In Press date: 12 September 2023
e-pub ahead of print date: 26 September 2023
Published date: 26 September 2023
Keywords: Data analysis, Electrochemical energy storage, Supercapacitors

Identifiers

Local EPrints ID: 502547
URI: http://eprints.soton.ac.uk/id/eprint/502547
ISSN: 0378-7753
PURE UUID: cd6f1b20-a6ea-455c-9930-2c48b613ab0d

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Date deposited: 30 Jun 2025 18:36
Last modified: 21 Aug 2025 04:50

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Contributors

Author: Jamie W. Gittins
Author: Yuan Chen
Author: Stefanie Arnold
Author: Veronica Augustyn
Author: Andrea Balducci
Author: Thierry Brousse
Author: Elzbieta Frackowiak
Author: Pedro Gómez-Romero
Author: Archana Kanwade
Author: Lukas Köps
Author: Plawan Kumar Jha
Author: Dongxun Lyu
Author: Michele Meo
Author: Deepak Pandey
Author: Le Pang
Author: Volker Presser
Author: Mario Rapisarda
Author: Daniel Rueda-García
Author: Saeed Saeed
Author: Parasharam M. Shirage
Author: Adam Ślesiński
Author: Francesca Soavi
Author: Jayan Thomas
Author: Maria Magdalena Titirici
Author: Hongxia Wang
Author: Zhen Xu
Author: Aiping Yu
Author: Maiwen Zhang
Author: Alexander C. Forse
Corporate Author: et al.

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