Structural identifiability of impedance spectroscopy fractional-order equivalent circuit models with two constant phase elements

被引：3
|
作者：
Aghdam, Tohid Soleymani [1 ]
Alavi, Seyed Mohammad Mahdi [2 ]
Saif, Mehrdad [3 ]
机构：
[1] Shahid Beheshti Univ, Fac Elect Engn, Daneshjou Blvd, Tehran 1983969411, Iran
[2] Cardiff Metropolitan Univ, Sch Technol, Llandaff Campus,Western Ave, Cardiff CF5 2YB, Wales
[3] Univ Windsor, Dept Elect & Comp Engn, Sunset Ave, Windsor, ON N9B 3P4, Canada
来源：
AUTOMATICA | 2022年 / 144卷
基金：
美国国家航空航天局;
关键词：
Structural identifiability; Fractional order models; Electrochemical impedance spectroscopy; Energy storage systems; Biomedical systems; GLOBAL IDENTIFIABILITY; ION BATTERIES;
D O I：
10.1016/j.automatica.2022.110463
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Structural identifiability analysis of fractional-order equivalent circuit models (FO-ECMs) obtained through electrochemical impedance spectroscopy (EIS) remains as a challenging problem. Aside from practical challenges such as measurement noise and the selection of excitation signals, no widely accepted analytical or numerical proof addressing the structural identifiability of impedance spectroscopy FO-ECMs exists. Through the use of coefficient mapping technique, this paper proposes novel computationally-efficient algebraic equations for numerical structural identifiability analysis of a widely used FO-ECM with Grunwald-Letnikov fractional derivative approximation and two constant phase elements (CPEs) including the Warburg term. The effects of the length of the data and sampling time on the proposed method for the structural identifiability analysis of the two-CPE FO-ECMs are discussed along with two examples and a discussion of the results. (C) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页数：6
相关论文
共 50 条
  • [21] Fuel Cell Fractional-Order Model via Electrochemical Impedance Spectroscopy
    Caponetto, Riccardo
    Matera, Fabio
    Murgano, Emanuele
    Privitera, Emanuela
    Xibilia, Maria Gabriella
    FRACTAL AND FRACTIONAL, 2021, 5 (01)
  • [22] Frequency Method for Determining the Equivalent Parameters of Fractional-Order Elements LβCα
    Jakubowska-Ciszek, Agnieszka
    Walczak, Janusz
    ADVANCES IN NON-INTEGER ORDER CALCULUS AND ITS APPLICATIONS, 2020, 559 : 250 - 267
  • [23] Equivalent circuit models using CPE for impedance spectroscopy of electronic ceramics
    Pandey, Shukdev
    Kumar, Devendra
    Parkash, Om
    Pandey, Lakshman
    INTEGRATED FERROELECTRICS, 2017, 183 (01) : 141 - 162
  • [24] Enhancing parameter identification of electrochemical double layer capacitors by fractional-order equivalent impedance models and Levy flight strategy
    Chen, Xi
    Pei, Mani
    INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 2023, 51 (04) : 1608 - 1624
  • [25] Characterization of CMOS Metamaterial Transmission Line by Compact Fractional-Order Equivalent Circuit Model
    Yang, Chang
    Yu, Hao
    Shang, Yang
    Fei, Wei
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2015, 62 (09) : 3012 - 3018
  • [26] Dynamic Behaviors and the Equivalent Realization of a Novel Fractional-Order Memristor-Based Chaotic Circuit
    Yang, Ningning
    Xu, Cheng
    Wu, Chaojun
    Jia, Rong
    Liu, Chongxin
    COMPLEXITY, 2018,
  • [27] Fractional-Order Equivalent-Circuit Model Identification of Commercial Lithium-Ion Batteries
    Abdelaty, A. M.
    Fouda, Mohammed E.
    Elwakil, A. S.
    Radwan, A. G.
    JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2024, 171 (05)
  • [28] Modeling of Internal Combustion Engine Ignition Systems with a Circuit Containing Fractional-Order Elements
    Rozowicz, Sebastian
    Zawadzki, Andrzej
    Wlodarczyk, Maciej
    Rozowicz, Antoni
    ENERGIES, 2022, 15 (01)
  • [29] Structured Approach and Impedance Spectroscopy Microsystem for Fractional-Order Electrical Characterization of Vegetable Tissues
    Cabrera-Lopez, John-Jairo
    Velasco-Medina, Jaime
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (02) : 469 - 478
  • [30] Association of respiratory integer and fractional-order models with structural abnormalities in silicosis
    Fariaa, Alvaro C. D.
    Silva Carvalho, Alysson Roncally
    Medeiros Guimaraes, Alan Ranieri
    Lopes, Agnaldo J.
    Melo, Pedro L.
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2019, 172 : 53 - 63
12345