Analysis of impedance spectroscopy of aqueous supercapacitors by evolutionary programming: Finding DFRT from complex capacitance

Alon Oz, Shany Hershkovitz, Nataly Belman, Ervin Tal-Gutelmacher, Yoed Tsur

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

Electrochemical impedance spectroscopy (EIS) of aqueous-electrolyte supercapacitors can shed light on the physical processes occurring within the cell, given a proper analysis technique. Impedance Spectroscopy Genetic Programming (ISGP) is a novel technique to analyze EIS data. ISGP finds a functional form of the distribution of relaxation times utilizing genetic algorithm and offers a detailed quantitative analysis. In this work, EIS data of aqueous-electrolyte supercapacitors were analyzed by transforming the data to complex capacitance representation. A distribution function of relaxation times (DFRT) model was obtained, comprised of two peaks, each correlated with a different physical process (diffusion and EDLC formation). Two cell configurations were examined and the differences regarding capacitance distribution and diffusion rates are presented.

Original languageEnglish
Pages (from-to)311-314
Number of pages4
JournalSolid State Ionics
Volume288
DOIs
StatePublished - 1 May 2016
Externally publishedYes

Keywords

  • Aqueous supercapacitors
  • Complex capacitance
  • Distribution of relaxation times
  • Impedance spectroscopy

ASJC Scopus subject areas

  • General Chemistry
  • General Materials Science
  • Condensed Matter Physics

Fingerprint

Dive into the research topics of 'Analysis of impedance spectroscopy of aqueous supercapacitors by evolutionary programming: Finding DFRT from complex capacitance'. Together they form a unique fingerprint.

Cite this