Application of a Montecarlo based quantitative Kramers-Kronig test for linearity assessment of EIS measurements
作者： J.J. Giner-Sanz , E.M. Ortega , V. Pérez-Herranz
DOI: 10.1016/J.ELECTACTA.2016.04.131
关键词:
摘要: Abstract Electrochemical Impedance Spectroscopy (EIS) is a very powerful tool to study the behaviour of electrochemical systems. Three conditions must be fulfilled during EIS measurements: causality, linearity, and stability. If any these not achieved, then conclusions obtained from analysis measured spectra may biased, or even misguided. For this reason, verification compliance critical before accepting performed on an experimental spectrum. In previous work, spectrum quantitative validation technique based Kramers-Kronig relations was presented. The method consists in (KK) test, by equivalent electrical circuit fitting, coupled with Montecarlo error propagation method. builds consistency region for given confidence level that allows discriminate between individual points are consistent four fundamental hypotheses, inconsistent ones. aim work validate experimentally if able detect nonlinearities. order achieve goal, markedly nonlinear system using different perturbation amplitudes. applied each one spectra. successfully managed identify large nonlinearities; but did slight
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