A Low-Complexity Method for Parameter Estimation of the Simplified Randles Circuit with Experimental Verification

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