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

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@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",
• 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 = "http://www.sciencedirect.com/science/article/pii/S0167273816000047",
• 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