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...

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Detalles Bibliográficos
Autores: Gittins, Jamie W., Chen, Yuan, Arnold, Stefanie, Augustyn, Veronica, Balducci, Andrea, Brousse, Thierry, Fraçkowiak, Elżbieta, Gómez-Romero, P., Kanwade, Archana, Köps, Lukas, Jha, Plawan Kumar, Lyu, Dongxun, Meo, Michele, Pandey, Deepak, Pang, Le, Presser, Volker, Rapisarda, Mario, Rueda-García, Daniel, Saeed, Saeed, Shirage, Parasharam M., Forse, Alexander C.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/346994
Acceso en línea:http://hdl.handle.net/10261/346994
Access Level:acceso abierto
Palabra clave:Data analysis
Supercapacitors
Electrochemical energy storage
Descripción
Sumario: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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