Supercapacitor auto analyser: An automated data analysis software for supercapacitor characterization

Autor(es)

Boratto, Miguel H. ; Lima, Joao V. M. ; Malliaras, George G. ; Graeff, Carlos F. O.

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF ENERGY STORAGE; v. 63, p. 9-pg., 2023-03-30.

Resumo

High-performance supercapacitors (SCs) with high power, energy, and long-life cycles, are essential for innovating wearable and portable electronics as extensively reported in literature. The Web of Science shows more than 23,000 papers published since 2018 with the topic 'Supercapacitor', number that keep growing, from 732 papers per year in 2012 to an average of 4651 papers per year since 2018. However, the establishment of performance metrics on the reported values should be achieved to reduce inconsistencies in their real performances. For that reason, we developed the Supercapacitors Auto Analyser (SCAA) program for SCs data analysis to support the community to establish performance metrics for SC devices, with standard terms, equations, and units. The SCAA generates important graphs with the SCs key properties and electrochemical performance such as capacitance, energy, power, coulombic efficiency (CE), equivalent series resistance (ESR), drop potential (V-drop), cycling stability, and time constant. These results are calculated from common data generated by potentiostat on SCs characterization such as cyclic voltammetry (CV), galvanostatic charge-discharge (GCD), and electrochemical impedance spectroscopy (EIS). With appropriate inputs, the SCAA provides as many as 50 graphs with accurate normalizations by mass, area, or volume in a few minutes. This automation of data analysis is packed in a software made available to the community in the supplementary materials and website www.scaasoftware.com. (AU)

• Processo FAPESP: 17/20809-0 - Estudo de dispositivos orgânicos para aplicações em bioeletrônica
• Beneficiário: Miguel Henrique Boratto
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 20/04721-8 - PEDOT:PSS e melanina como camadas ativas em dispositivos neuromórficos
• Beneficiário: Miguel Henrique Boratto
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado
• Processo FAPESP: 21/03379-7 - Aplicação de Novos Materiais como Eletrodo em Supercapacitores Flexíveis
• Beneficiário: João Victor Morais Lima
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 20/12356-8 - Otimização da estabilidade de células solares de perovskitas
• Beneficiário: Carlos Frederico de Oliveira Graeff
• Modalidade de apoio: Auxílio à Pesquisa - Temático