Publication detail

Enhancing supercapacitor energy density by mass-balancing of graphene composite electrodes

Redondo, E. Le Fevre, LW. Fields, R. Todd, R. Forsyth, AJ. Dryfe, RAW.

Original Title

Enhancing supercapacitor energy density by mass-balancing of graphene composite electrodes

Type

journal article in Web of Science

Language

English

Original Abstract

We present a new strategy to optimise the energy density of supercapacitor cells, by systematically varying the amount of graphene-related additive, while mass balancing the positive and negative electrodes. The capacitance and the electrochemically stable potential window of the electrodes have been determined for several electrodes with different additive loadings by using a recently reported electrode optimisation technique. These key factors for calculating the mass balance were obtained based on the constant current charge/discharge cycling with a coin-cell-incorporated quasi-reference electrode. Then, multi-pairing of electrodes is proposed based on the maximum theoretical energy density, and optimised supercapacitor cells have been assembled. Using this strategy, these cells are shown to reach a voltage of 3.2 V within stability conditions, providing an energy density of 37.9 W h kg(-1) (double the value for a symmetric non-graphene cell) and a power density of 149 kW kg(-1) at 2 A g(-1), using 1 M tetraethylammonium tetrafluoroborate (TEABF(4)) in acetonitrile as the electrolyte, placing these cells in between traditional and hybrid supercapacitors. (C) 2020 The Authors. Published by Elsevier Ltd.

Keywords

Energy-based electrode optimisation; Graphene additives; High voltage; Mass balancing; Quasi-reference electrode; Supercapacitors

Authors

Redondo, E. ; Le Fevre, LW.; Fields, R.; Todd, R.; Forsyth, AJ.; Dryfe, RAW.

Released

10. 11. 2020

Publisher

PERGAMON-ELSEVIER SCIENCE LTD

Location

OXFORD

ISBN

1873-3859

Periodical

ELECTROCHIMICA ACTA

Year of study

360

Number

1

State

United Kingdom of Great Britain and Northern Ireland

Pages from

136957-1

Pages to

136957-10

Pages count

10

URL