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IEEE Sensors JournalVolume 21, Issue 21, 1 November 2021, Pages 24209-24217

A Low-Complexity Method for Parameter Estimation of the Simplified Randles Circuit With Experimental Verification(Article)

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  • The Faculty of Technical Sciences, University of Novi Sad, 21000, Serbia

Abstract

In this paper we present a processing-efficient method for parameter estimation of a Randles circuit. As our approach is not iterative, it does not require for an initial guess of model parameters to be provided. The low-complexity of the provided set of closed-form expressions enables the implementation on microcontroller-based platforms. The presented approach is verified with simulations (using both noiseless data and data with noise) and with experimentally obtained data (Randles circuit made from discrete components; impedance of microfluidic platform for isomalt detection; impedance of Panasonic 18650PF Li-ion Battery). Additionally, it was implemented on a microcontroller board based on ATmega2560 microcontroller with available 256 kB of flash memory, 8 kB of SRAM and clock speed of 16 MHz. Reliable and accurate estimations of such implementations confirmed the suitability of this work for low-cost embedded hardware. © 2021 IEEE.

Author keywords

Electrical impedance spectroscopymicrocontroller-based platformsparameter estimationRandles circuit

Indexed keywords

Engineering controlled terms:ControllersElectric resistanceFlash memoryFrequency estimationIterative methodsLithium-ion batteriesMicrocontrollersStatic random access storage
Engineering uncontrolled termsElectrical impedance spectroscopyImpedanceIntegrated circuit modelingLower complexityMeasurement uncertaintyMicrocontroller-basedMicrocontroller-based platformParameters estimationRandles circuitResistance
Engineering main heading:Timing circuits

Funding details

Funding sponsor Funding number Acronym
Horizon 2020 Framework Programme
See opportunities by H2020
854194H2020
Ministry of Scientific and Technological Development, Higher Education and Information Society19.032/961-83/19
  • 1

    This work was supported in part by the European Union’s Horizon 2020 Research and Innovation Programme under Grant 854194 and in part by the Ministry of Scientific and Technological Development, Higher Education and Informational Society of the Republic of Srpska, through the Project “Signal Processing in Edge Computing” under Project 19.032/961-83/19.

  • ISSN: 1530437X
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1109/JSEN.2021.3110296
  • Document Type: Article
  • Publisher: Institute of Electrical and Electronics Engineers Inc.

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

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