Revisiting self-discharge of supercapacitors with multilayered graphene membrane as a model nanoporous electrode

Self-discharge in electrochemical energy storage systems, particularly in electric double-layer capacitors, poses significant challenges due to the spontaneous dissipation of stored charges at electrode/electrolyte interfaces, which compromises device performance and energy efficiency. Despite decades of research, the underlying mechanisms of self-discharge remain a subject of debate. In this study, we use multilayered graphene-based membranes with adjustable nanoslit sizes as an additive-free electrode material platform to revisit the self-discharge in nanoporous electrodes. By integrating a hybrid self-discharge model with a comprehensive electrochemical characterization, we identified activation-controlled Faradaic reactions as the primary driver of self-discharge, but ruled out traditionally suggested reactions like carbon oxidation and water splitting in carbon-based electric double-layer capacitors with aqueous electrolytes. Furthermore, the observed ion identity-dependent self-discharge underscores the pivotal role of electrolyte ions in self-discharge, highlighting this overlooked aspect in the conventional hybrid model. Our findings highlight the inherent challenges in studying self-discharge and the need to further develop advanced research methods and models to address this enduring problem.

Authors

Institutions

Publication Details

Journal
Energy storage materials
Published
2024-12-19
DOI
https://doi.org/10.1016/j.ensm.2024.103969
Citations
6
Primary Topic
Supercapacitor Materials and Fabrication
Type
article
Field-Weighted Citation Impact
0.71

Funders

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

Revisiting self-discharge of supercapacitors with multilayered graphene membrane as a model nanoporous electrode

Wenjie Jiang, Qinghua Liang, Lianhai Zu, Desheng Feng et al.
6 citations
Energy storage materials
Supercapacitor Materials and Fabrication
0.71
article

Revisiting self-discharge of supercapacitors with multilayered graphene membrane as a model nanoporous electrode

Wenjie Jiang, Qinghua Liang, Lianhai Zu, Desheng Feng, Xiaoyang Du, Mengran Li, Dan Li, Xiao Wang, Yang Cao, Yufei Wang, Peiyao Wang
article en
6 citations

Abstract

Self-discharge in electrochemical energy storage systems, particularly in electric double-layer capacitors, poses significant challenges due to the spontaneous dissipation of stored charges at electrode/electrolyte interfaces, which compromises device performance and energy efficiency. Despite decades of research, the underlying mechanisms of self-discharge remain a subject of debate. In this study, we use multilayered graphene-based membranes with adjustable nanoslit sizes as an additive-free electrode material platform to revisit the self-discharge in nanoporous electrodes. By integrating a hybrid self-discharge model with a comprehensive electrochemical characterization, we identified activation-controlled Faradaic reactions as the primary driver of self-discharge, but ruled out traditionally suggested reactions like carbon oxidation and water splitting in carbon-based electric double-layer capacitors with aqueous electrolytes. Furthermore, the observed ion identity-dependent self-discharge underscores the pivotal role of electrolyte ions in self-discharge, highlighting this overlooked aspect in the conventional hybrid model. Our findings highlight the inherent challenges in studying self-discharge and the need to further develop advanced research methods and models to address this enduring problem.

Energy storage materialsVol. 74
The University of Melbourne (AU), Hong Kong University of Science and Technology (HK), Australian Synchrotron (AU), Medical Developments International (Australia) (AU), Jiangxi University of Science and Technology (CN)
University of Melbourne, Australian Research Council
Clean water and sanitation
Openalex Percentile: Top 34%
Supercapacitor Materials and Fabrication
0.71
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.