Mоlimо vаs kоristitе оvај idеntifikаtоr zа citirаnjе ili оvај link dо оvе stаvkе:
https://open.uns.ac.rs/handle/123456789/32500
Nаziv: | Parameter Estimation of the Randles Equivalent Electrical Circuit Using Only Real Part of the Impedance | Аutоri: | Mitar Simić Adrian K. Stavrakis Tijana Kojić Varun Jeoti Goran Stojanović |
Ključnе rеči: | Bioimpedance;Electrical Impedance Spectroscopy;Equivalent circuit;Randles circuit;parameter estimation;microcontroller-based platforms | Dаtum izdаvаnjа: | 10-феб-2023 | Izdаvаč: | IEEE | Prојеkаt: | STRENTEX | Čаsоpis: | IEEE Sensors Journal | Sažetak: | Electrical Impedance Spectroscopy has been widely used in the modeling and analysis of the various electrochemical and energy storage systems. Parameter estimation of the equivalent electrical circuit is usually performed with PC-based software platforms which are not commonly available onsite. Such an approach introduces lag between measurement and maintenance actions. In this paper, we present 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 cost-effective 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. Obtained results are compared with desktop based 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. | URI: | https://open.uns.ac.rs/handle/123456789/32500 | ISSN: | 1530-437X | DOI: | 10.1109/JSEN.2023.3238074 | Prаvа: | Attribution-NonCommercial-NoDerivs 3.0 United States |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
Dаtоtеkе u оvој stаvci:
Dаtоtеkа | Оpis | Vеličinа | Fоrmаt | |
---|---|---|---|---|
JSEN3238074.pdf | 761.99 kB | Adobe PDF | Pоglеdајtе |
Prеglеd/i stаnicа
57
Prоtеklа nеdеljа
16
16
Prоtеkli mеsеc
6
6
prоvеrеnо 10.05.2024.
Prеuzimаnjе/а
41
prоvеrеnо 10.05.2024.
Google ScholarTM
Prоvеritе
Аlt mеtrikа
Оvа stаvkа је licеncirаnа pоd Krеаtivnа dоzvоlа grаđаnа