Electrochemical Impedance Spectroscopy-Based Dynamic Modeling of Lithium-Ion Batteries Using a Simple Equivalent Circuit Model

被引:1
|
作者
Zhou, Xing [1 ,2 ]
Zhang, Ran [2 ]
Wang, Yu [2 ]
机构
[1] Natl Univ Def Technol, Coll Adv Interdisciplinary Studies, Changsha 410072, Peoples R China
[2] Natl Univ Def Technol, Coll Syst Engn, Changsha 410072, Peoples R China
关键词
battery modeling; electrochemical impedance spectroscopy; lithium-ion batteries; parameter identification; PHYSICOCHEMICAL MODEL; STATE; PARAMETERIZATION; SIMPLIFICATION; HEALTH; CELL;
D O I
10.1002/ente.202300473
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
As one of the most commonly used models for describing the dynamic voltage response of lithium-ion batteries (LIBs), the equivalent circuit model (ECM) is routinely parameterized using the time-domain experimental data from some dynamic tests. One downside of this time-domain approach is a lack of credible physical interpretation about the model parameters. In this article, a genuine electrochemical impedance spectroscopy (EIS)-based dynamic modeling approach for LIBs is developed, which only uses low-frequency EIS data in parameterization of the ECM. The EIS-based modeling method combines simplicity, high accuracy, and clear physical interpretation. With the EIS-based modeling method, a simple ECM, namely, a serial connection of a resistance (Rs$R_{\text{s}}$), describing Ohmic polarization and interfacial reactions, and an resistance-capacitance parallel branch (Rp//Cp$R_{\text{p}} / / C_{\text{p}}$), describing diffusion polarization, suffice to accurately capture LIB dynamics in most applications.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Analysis of equivalent circuit models in lithium-ion batteries
    You, Hyun Woo
    Bae, Jun Ik
    Cho, So Jeong
    Lee, Jong Moon
    Kim, Se-Hun
    AIP ADVANCES, 2018, 8 (12)
  • [42] Joint time-frequency physicochemical modeling and parameter sensitivity analysis on dynamic electrochemical impedance spectroscopy of lithium-ion batteries
    Chen, Hongkai
    Li, Zeyu
    JOURNAL OF POWER SOURCES, 2025, 626
  • [43] Online Electrochemical Impedance Spectroscopy Estimation of Lithium-Ion Batteries using a Deep Learning Framework
    Jung, Min Jae
    Xu, Yi
    Jang, Hyun Jun
    Kim, Woo Sung
    Lee, Sang-Gug
    2023 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO, ITEC, 2023,
  • [44] Electrochemical Impedance Spectroscopy Processing and Modelling for Lithium-ion Batteries Using Python']Python and Jupiter
    Molhanec, Martin
    Knap, Vaclav
    2022 45TH INTERNATIONAL SPRING SEMINAR ON ELECTRONICS TECHNOLOGY (ISSE), 2022,
  • [45] Summary of Health-State Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy
    Sun, Xinwei
    Zhang, Yang
    Zhang, Yongcheng
    Wang, Licheng
    Wang, Kai
    ENERGIES, 2023, 16 (15)
  • [46] State-of-health estimation of lithium-ion batteries based on electrochemical impedance spectroscopy: a review
    Yanshuo Liu
    Licheng Wang
    Dezhi Li
    Kai Wang
    Protection and Control of Modern Power Systems, 2023, 8
  • [47] Diagnosis of Lithium-Ion Batteries State-of-Health based on Electrochemical Impedance Spectroscopy Technique
    Stroe, Daniel I.
    Swierczynski, Maciej
    Stan, Ana I.
    Knap, Vaclav
    Teodorescu, R.
    Andreasen, Soren J.
    2014 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2014, : 4576 - 4582
  • [48] State-of-health estimation of lithium-ion batteries based on electrochemical impedance spectroscopy: a review
    Liu, Yanshuo
    Wang, Licheng
    Li, Dezhi
    Wang, Kai
    PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2023, 8 (01)
  • [49] An Accurate State of Health Estimation for Retired Lithium-ion Batteries Based on Electrochemical Impedance Spectroscopy
    Liu, Xuefeng
    Li, Yichao
    Gu, Pingwei
    Zhang, Ying
    Duan, Bin
    Zhang, Chenghui
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 5253 - 5257
  • [50] Review of Power Converter Topologies for Electrochemical Impedance Spectroscopy of Lithium-Ion Batteries
    Beiranvand, Hamzeh
    Placzek, Julius M.
    Liserre, Marco
    Zampardi, Giorgia
    Brogioli, Doriano Constantino
    La Mantia, Fabio
    2022 24TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'22 ECCE EUROPE), 2022,