Development of an algorithm for automatic analysis of the impedance spectrum based on a measurement model

Kiyoshi Kobayashi, Tohru Suzuki

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A new algorithm for the automatic estimation of an equivalent circuit and the subsequent parameter optimization is developed by combining the data-mining concept and complex least-squares method. In this algorithm, the program generates an initial equivalent-circuit model based on the sampling data and then attempts to optimize the parameters. The basic hypothesis is that the measured impedance spectrum can be reproduced by the sum of the partial-impedance spectra presented by the resistor, inductor, resistor connected in parallel to a capacitor, and resistor connected in parallel to an inductor. The adequacy of the model is determined by using a simple artificial-intelligence function, which is applied to the output function of the Levenberg-Marquardt module. From the iteration of model modifications, the program finds an adequate equivalent-circuit model without any user input to the equivalent-circuit model.

Original languageEnglish
Article number034004
Journaljournal of the physical society of japan
Volume87
Issue number3
DOIs
Publication statusPublished - 2018 Jan 1
Externally publishedYes

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equivalent circuits
impedance
resistors
inductors
data sampling
artificial intelligence
data mining
adequacy
least squares method
iteration
capacitors
modules
optimization
output

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Development of an algorithm for automatic analysis of the impedance spectrum based on a measurement model. / Kobayashi, Kiyoshi; Suzuki, Tohru.

In: journal of the physical society of japan, Vol. 87, No. 3, 034004, 01.01.2018.

Research output: Contribution to journalArticle

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