期刊
IEEE SENSORS JOURNAL
卷 23, 期 5, 页码 4922-4929出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2023.3238074
关键词
Impedance; Integrated circuit modeling; Estimation; Sensors; Software; Mathematical models; Impedance measurement; Bioimpedance; electrical impedance spectroscopy (EIS); equivalent circuit; microcontroller-based platforms; parameter estimation; Randles circuit
This article presents a method for in situ parameter estimation of the Randles circuit. It overcomes the limitations of iterative and PC-based estimation approaches and is suitable for implementation on cost-effective microcontroller-based portable systems.
Electrical impedance spectroscopy (EIS) has been widely used in the modeling and analysis of various electrochemical and energy storage systems. Parameter estimation of the equivalent electrical circuit is usually performed with personal computer (PC)-based software platforms that are not commonly available onsite. Such an approach introduces a lag between measurement and maintenance actions. In this article, we present a method for in situ parameter estimation of the Randles circuit (R -RC equivalent model). Our method overcomes the shortcoming of the iterative and PC-based estimation approaches since there is no need for an initial guess provided by the user. The low complexity of our approach enables the implementation on costeffective microcontroller-based portable systems. The proposed method has been validated with simulations and with experimentally obtained data. In the simulation part, we used both the noiseless and noisy data, while in the experimental part, we used impedance data obtained from a dummy circuit created with discrete components, as well as bioimpedance of apple slices. The obtained results are compared with desktop-based Multiple Electrochemical Impedance Spectra Parameterization (MEISP) software. Finally, reliable and accurate estimations with a board based on the ATmega2560 microcontroller confirmed the hypothesis of suitability for implementation on embedded hardware.
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