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Proceedings of International Workshop on Impedance Spectroscopy, IWIS 20232023, Pages 12-1516th International Workshop on Impedance Spectroscopy, IWIS 2023; Chemnitz; Germany; 26 September 2023 through 29 September 2023; Category numberCFP23BO8-ART; Code 194260

A Low-Complexity Method for Processing EIS Data of R-RC Circuit and Parameter Identification(Conference Paper)

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  • University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia

Abstract

This paper presents a method for analyzing impedance of various electrochemical sources, or electrode-electrolyte interface, with the aim of estimating the values of the equivalent R-RC circuit parameters. The proposed method utilizes characteristic frequency, resistance at the characteristic frequency, and reactance at the characteristic frequency for parameter estimation. It eliminates the need for specialized software, initial values, and computationally intensive processes. Initial verification, performed using the synthetic impedance datasets, showed that the proposed method can provide reliable estimations. Moreover, positive results in terms of reducing the impact of noise levels on the accuracy of model parameters estimation are obtained using the exponential filter. © 2023 IEEE.

Author keywords

characteristic frequencyEquivalent R-RC circuitexponential filterimpedance analysisparameter estimation

Indexed keywords

Engineering controlled terms:Data handlingEquivalent circuitsFrequency estimationTiming circuits
Engineering uncontrolled termsCharacteristic-frequencyCircuit identificationElectrochemicalsEquivalent R-RC circuitExponential filtersImpedance analyzeLower complexityParameters estimationParameters identificationRC circuits
Engineering main heading:Electrolytes
  • ISBN: 979-835035895-7
  • Source Type: Conference Proceeding
  • Original language: English
  • DOI: 10.1109/IWIS61214.2023.10302796
  • Document Type: Conference Paper
  • Publisher: Institute of Electrical and Electronics Engineers Inc.

  Simic, M.; University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia;
© Copyright 2023 Elsevier B.V., All rights reserved.

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