Impedance spectroscopy analysis inspired by evolutionary programming as a diagnostic tool for SOEC and SOFC

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Zohar Drach and Shany Hershkovitz and 
                 Domenico Ferrero and Pierluigi Leone and Andrea Lanzini and 
                 Massimo Santarelli and Yoed Tsur",
  title =        "Impedance spectroscopy analysis inspired by
                 evolutionary programming as a diagnostic tool for
                 {SOEC} and {SOFC}",
  journal =      "Solid State Ionics",
  volume =       "288",
  pages =        "307--310",
  year =         "2016",
  note =         "Proceedings of the 20th International Conference on
                 Solid State Ionics SSI-20",
  ISSN =         "0167-2738",
  DOI =          "doi:10.1016/j.ssi.2016.01.001",
  URL =          "",
  abstract =     "Impedance spectroscopy (IS) is an effective tool for
                 the analysis of solid oxide fuel cell (SOFC) and solid
                 oxide electrolysis cell (SOEC) performance. The
                 challenge using this characterization tool lies within
                 the analysis method. Impedance spectroscopy genetic
                 programming (ISGP) is a novel analysis technique for
                 impedance spectroscopy data. The ISGP uses evolutionary
                 programming techniques for finding the most suitable
                 distribution function of relaxation times (DFRT). This
                 approach leads toward a better analysis of impedance
                 spectroscopy results as compared to other analysis
                 tools such as equivalent circuits or deconvolution
                 techniques. In this work, SOFC and SOEC were examined
                 during operation by IS measurements and the results
                 were analysed using ISGP. The aim of this work is to
                 show examples of DFRT models which reflect the physical
                 processes occurring during the operation. It is
                 demonstrated that despite the low impedance (in the
                 mOmega range) and the narrow available bandwidth, ISGP
                 can provide consistent DFRT models.",
  keywords =     "genetic algorithms, genetic programming, Impedance
                 spectroscopy, Solid oxide electrolysis cell, Solid
                 oxide fuel cell, Distribution of relaxation times",

Genetic Programming entries for Zohar Drach Shani Herskovici Domenico Ferrero Pierluigi Leone Andrea Lanzini Massimo Santarelli Yoed Tsur