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

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Oz:2016:SSI,
  author =       "Alon Oz and Shany Hershkovitz and Nataly Belman and 
                 Ervin Tal-Gutelmacher and Yoed Tsur",
  title =        "Analysis of impedance spectroscopy of aqueous
                 supercapacitors by evolutionary programming: Finding
                 {DFRT} from complex capacitance",
  journal =      "Solid State Ionics",
  volume =       "288",
  pages =        "311--314",
  year =         "2016",
  note =         "Proceedings of the 20th International Conference on
                 Solid State Ionics SSI-20",
  keywords =     "genetic algorithms, genetic programming Impedance
                 spectroscopy, Complex capacitance, Aqueous
                 supercapacitor, Distribution of relaxation times",
  ISSN =         "0167-2738",
  DOI =          "doi:10.1016/j.ssi.2015.11.008",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0167273815004142",
  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
                 analyse EIS data. ISGP finds a functional form of the
                 distribution of relaxation times using genetic
                 algorithm and offers a detailed quantitative analysis.
                 In this work, EIS data of aqueous-electrolyte
                 supercapacitors were analysed 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.",
  notes =        "Also known as \cite{Oz2016311}

                 The Nancy and Stephen Grand Technion Energy Program,
                 Technion — Israel Institute of Technology, Haifa
                 3200003, Israel",
}

Genetic Programming entries for Alon Oz Shani Herskovici Nataly Belman Ervin Tal-Gutelmacher Yoed Tsur

Citations