Finite Time State-of-Charge Observer With Robustness Against Unknown Parameter Uncertainties

被引:3
|
作者
Peng, Zhaoxia [1 ]
Pan, Chenyang [1 ]
Yang, Shichun [1 ]
Wen, Guoguang [2 ]
Huang, Tingwen [3 ]
机构
[1] Beihang Univ, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China
[2] Beijing Jiaotong Univ, Dept Math, Beijing 100044, Peoples R China
[3] Texas A&M Univ Qatar, Sci Program, Doha, Qatar
关键词
State of charge; Batteries; Observers; Convergence; Asymptotic stability; Uncertain systems; Stability criteria; Finite time; parameter uncertainties; robust observer; state of charge (SOC); LITHIUM-ION BATTERY; SOC ESTIMATION; DESIGN; IDENTIFICATION; NETWORKS;
D O I
10.1109/TCST.2022.3197025
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 state of charge (SOC) is of great engineering significance to relieve the range anxiety, avoid safety accidents, and prolong the battery lifetime. This brief proposes an SOC observer with finite-time stability and robustness against unknown and time-varying parameter uncertainties. First, an equivalent circuit model (ECM) is employed to describe the battery dynamic characteristic with full consideration of time-varying parameter uncertainties and unknown noises, which are only assumed to be bounded. Second, a hybrid method combined with off-line and on-line identifications is proposed to estimate the battery model parameters. It means that the change of the battery parameters can be well traced and the estimation error in the early stage can be effectively diminished. Third, a finite-time observer is designed to estimate SOC, which can achieve faster error convergence rate. Finally, sufficient criteria and rigorous proof are given to ensure the convergence of the estimation errors in finite time. Extensive simulations and experiments are conducted to assess the effectiveness of the proposed method as well. Results illustrate the high accuracy, strong robustness, and fast convergence speed of the proposed method with the estimation errors bounded by 1% and the convergence time limited in 20 s.
引用
收藏
页码:929 / 936
页数:8
相关论文
共 50 条
  • [31] Adaptive Parameter Identification and State-of-Charge Estimation of Lithium-Ion Batteries
    Rahimi-Eichi, Habiballah
    Chow, Mo-Yuen
    38TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2012), 2012, : 4012 - 4017
  • [32] An improved battery on-line parameter identification and state-of-charge determining method
    Li, Zhirun
    Xiong, Rui
    He, Hongwen
    PROCEEDINGS OF RENEWABLE ENERGY INTEGRATION WITH MINI/MICROGRID (REM2016), 2016, 103 : 381 - 386
  • [33] Adaptive state observer for time delay systems with uncertainties and delayed state perturbation
    Bousshmine, Nouha
    Soudani, Dahou
    2017 18TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA), 2017, : 438 - 443
  • [34] State-of-charge estimation of the lithium-ion battery system with time-varying parameter for hybrid electric vehicles
    Zhang, Yun
    Zhang, Chenghui
    Zhang, Xianfu
    IET CONTROL THEORY AND APPLICATIONS, 2014, 8 (03) : 160 - 167
  • [35] Disturbance observer-based state-of-charge estimation for Li-ion battery used in light electric vehicles
    Messier, Pascal
    Bao-Huy Nguyen
    LeBel, Felix-A
    Trovao, Joao Pedro F.
    JOURNAL OF ENERGY STORAGE, 2020, 27 (27):
  • [36] Robust H∞ Observer-Based Stabilization of Linear Discrete-Time Systems with Parameter Uncertainties
    Bennani, C.
    Bedouhene, F.
    Zemouche, A.
    Bibi, H.
    Chaib-Draa, K.
    Aitouche, A.
    Rajamani, R.
    2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC), 2018, : 4398 - 4402
  • [37] State-of-charge Estimation of Lithium-ion Polymer Battery Based on Sliding Mode Observer
    Mao Jun
    Zhao Linhui
    Lin Yurong
    2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 269 - 273
  • [38] Error Analysis of the Model-Based State-of-Charge Observer for Lithium-Ion Batteries
    Shen, Ping
    Ouyang, Minggao
    Han, Xuebing
    Feng, Xuning
    Lu, Languang
    Li, Jianqiu
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (09) : 8055 - 8064
  • [39] Reliable and Robust Observer for Simultaneously Estimating State-of-Charge and State-of-Health of LiFePO4 Batteries
    Al-Gabalawy, Mostafa
    Mahmoud, Karar
    Darwish, Mohamed M. F.
    Dawson, James A.
    Lehtonen, Matti
    Hosny, Nesreen S.
    APPLIED SCIENCES-BASEL, 2021, 11 (08):
  • [40] State of Charge Estimation of Lithium-ion Batteries Considering Model Bias and Parameter Uncertainties
    Xi, Zhimin
    Jing, Rong
    Yang, Xiaoguang
    Decker, Ed
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2014, VOL 1A, 2014,