A Transient-Based Approach for Estimating the Electrical Parameters of a Lithium-ion Battery Model

被引:0
|
作者
Mandal, Lalit P. [1 ]
Cox, Robert W. [1 ]
机构
[1] UNC Charlotte, Dept Elect & Comp Engn, Charlotte, NC 28223 USA
来源
2011 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE) | 2011年
关键词
STATE-OF-CHARGE; IMPEDANCE MEASUREMENTS; MANAGEMENT-SYSTEMS; HEALTH; PACKS;
D O I
暂无
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
This paper describes a transient-based approach for estimating the impedance parameters of a lumped-element electrical circuit model for a lithium-ion battery. In this methodology, a small test signal is superimposed on top of the battery load to trigger its transient dynamics. The resulting terminal voltage and current are measured, and a non-linear least-squares routine is used to estimate the parameters of the battery model. Experimental results obtained at consistent temperatures demonstrate that the parameter values depend on state-of-charge. The approach requires minimal hardware and could be used to form the basis of a robust on-line monitoring system.
引用
收藏
页码:2635 / 2640
页数:6
相关论文
共 50 条
  • [1] A Transient-Based Approach to Estimation of the Electrical Parameters of a Lead-Acid Battery Model
    Mandal, Lalit P.
    Cox, Robert W.
    2010 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION, 2010, : 4238 - 4242
  • [2] Sensitivity Analysis of Lithium-Ion Battery Model to Battery Parameters
    Rahimi-Eichi, Habiballah
    Balagopal, Bharat
    Chow, Mo-Yuen
    Yeo, Tae-Jung
    39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013), 2013, : 6794 - 6799
  • [3] Differential evolution based regression algorithm for mathematical representation of electrical parameters in lithium-ion battery model
    Vyas, Ujjval B.
    Shah, Varsha A.
    JOURNAL OF ENERGY STORAGE, 2022, 45
  • [4] A New Model-Based Lithium-Ion Battery Online Monitoring Structure
    Meng, Jianwen
    Boukhnifer, Moussa
    Diallo, Demba
    2019 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-PARIS), 2019, : 24 - 29
  • [5] Bayesian Estimation of Model Parameters of Equivalent Circuit Model for Detecting Degradation Parts of Lithium-Ion Battery
    Miyake, Tamon
    Suzuki, Tomoyuki
    Funabashi, Satoshi
    Saito, Namiko
    Kamezaki, Mitsuhiro
    Shoda, Takahiro
    Saigo, Tsutomu
    Sugano, Shigeki
    IEEE ACCESS, 2021, 9 : 159699 - 159713
  • [6] On-line estimation of lithium-ion battery impedance parameters using a novel varied-parameters approach
    Waag, Wladislaw
    Fleischer, Christian
    Sauer, Dirk Uwe
    JOURNAL OF POWER SOURCES, 2013, 237 : 260 - 269
  • [7] Method for estimating capacity and predicting remaining useful life of lithium-ion battery
    Hu, Chao
    Jain, Gaurav
    Tamirisa, Prabhakar
    Gorka, Tom
    APPLIED ENERGY, 2014, 126 : 182 - 189
  • [8] SOC Estimation of Lithium-Ion Battery Based on Equivalent Circuit Model with Variable Parameters
    Wang, Qi
    Gao, Tian
    Li, Xingcan
    ENERGIES, 2022, 15 (16)
  • [9] An Improved Model for Parameters Identification of Lithium-ion Battery Based on Dual Kalman Filter
    Liu, Zheng
    Dang, Xuanju
    Jing, Benqin
    Ji, Jianbo
    JOURNAL OF APPLIED SCIENCE AND ENGINEERING, 2019, 22 (04): : 607 - 615
  • [10] Novel methods for estimating lithium-ion battery state of energy and maximum available energy
    Zheng, Linfeng
    Zhu, Jianguo
    Wang, Guoxiu
    He, Tingting
    Wei, Yiying
    APPLIED ENERGY, 2016, 178 : 1 - 8