

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.
| Engineering controlled terms: | ControllersElectric resistanceFlash memoryFrequency estimationIterative methodsLithium-ion batteriesMicrocontrollersStatic random access storage |
|---|---|
| Engineering uncontrolled terms | Electrical impedance spectroscopyImpedanceIntegrated circuit modelingLower complexityMeasurement uncertaintyMicrocontroller-basedMicrocontroller-based platformParameters estimationRandles circuitResistance |
| Engineering main heading: | Timing circuits |
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| Horizon 2020 Framework Programme See opportunities by H2020 | 854194 | H2020 |
| Ministry of Scientific and Technological Development, Higher Education and Information Society | 19.032/961-83/19 |
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.
Simić, M.; The Faculty of Technical Sciences, University of Novi Sad, Serbia;
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