Impedance spectroscopy analysis inspired by evolutionary programming as a diagnostic tool for SOEC and SOFC
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Drach:2016:SSI,
-
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",
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volume = "288",
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pages = "307--310",
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year = "2016",
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note = "Proceedings of the 20th International Conference on
Solid State Ionics SSI-20",
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ISSN = "0167-2738",
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DOI = "doi:10.1016/j.ssi.2016.01.001",
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URL = "http://www.sciencedirect.com/science/article/pii/S0167273816000047",
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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
Shany Hershkovitz
Domenico Ferrero
Pierluigi Leone
Andrea Lanzini
Massimo Santarelli
Yoed Tsur
Citations