A two steps method for electrochemical impedance modeling using fractional order system in time and frequency domains

被引:38
作者
Nasser-Eddine, Achraf [1 ]
Huard, Benoit [1 ]
Gabano, Jean-Denis [1 ]
Poinot, Thierry [1 ]
机构
[1] Univ Poitiers, LIAS, 2 Rue Pierre Brousse,TSA 41105, F-86073 Poitiers 9, France
关键词
Fractional systems; Electrochemical impedance spectroscopy; Chronopotentiometry; Randles circuit; Identification method; LITHIUM-ION BATTERY; ENERGY MANAGEMENT; CHARGE ESTIMATION; IDENTIFICATION; SPECTROSCOPY; ALGORITHM; STATE;
D O I
10.1016/j.conengprac.2019.03.001
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Accurate estimation of electrochemical impedance parameters is related to an appropriate model and the identification method. Electrochemical Impedance Spectroscopy (EIS) allows accurate identification meanwhile it requires a long time to be performed. Chronopotentiometry represents an alternative for EIS especially for low frequencies impedance identification that can be performed faster than EIS. This paper presents a method that combines the EIS and chronopotentiometry in order to identify the impedance parameters of an electrochemical cell. An Equivalent Electric Circuit (EEC) based on Randles circuit is used to describe the impedance aspect of the electrochemical cell. This impedance is represented through fractional systems and is identified using Levenberg Marquardt algorithm. The validation process is performed using an experimental test bench made of two platinum electrodes immersed into Ferri/Ferrocyanide solution. Results indicate high accuracy for the estimation of the impedance parameters.
引用
收藏
页码:96 / 104
页数:9
相关论文
共 45 条
  • [1] [Anonymous], 2013, IFAC Proc.
  • [2] Review of building integrated applications of photovoltaic and solar thermal systems
    Baljit, S. S. S.
    Chan, Hoy-Yen
    Sopian, Kamaruzzaman
    [J]. JOURNAL OF CLEANER PRODUCTION, 2016, 137 : 677 - 689
  • [3] Barsoukov E, 2005, IMPEDANCE SPECTROSCOPY: THEORY, EXPERIMENT, AND APPLICATIONS, 2ND EDITION, pXII
  • [4] Fractional order models for system identification of thermal dynamics of buildings
    Chen, Lin
    Basu, Biswajit
    McCabe, David
    [J]. ENERGY AND BUILDINGS, 2016, 133 : 381 - 388
  • [5] Cheng CS, 2017, APPL POWER ELECT CO, P985, DOI 10.1109/APEC.2017.7930816
  • [6] Reducing error and measurement time in impedance spectroscopy using model based optimal experimental design
    Ciucci, Francesco
    Carraro, Thomas
    Chueh, William C.
    Lai, Wei
    [J]. ELECTROCHIMICA ACTA, 2011, 56 (15) : 5416 - 5434
  • [7] Diard J.P., 2013, Handbook of Electrochemical Impedance Spectroscopy
  • [8] Initialization of a fractional order identification algorithm applied for Lithium-ion battery modeling in time domain
    Eddine, Achraf Nasser
    Huard, Benoit
    Gabano, Jean-Denis
    Poinot, Thierry
    [J]. COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2018, 59 : 375 - 386
  • [9] A review on electric vehicle battery modelling: From Lithium-ion toward Lithium-Sulphur
    Fotouhi, Abbas
    Auger, Daniel J.
    Propp, Karsten
    Longo, Stefano
    Wild, Mark
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 56 : 1008 - 1021
  • [10] Frank Janet C, 2014, Policy Brief UCLA Cent Health Policy Res, P1, DOI 10.1109/PESGM.2014.6939006