eXogenous Kalman Filter for State-of-Charge Estimation in Lithium-Ion Batteries

被引：0
|
作者：
Hasan, Agus [1 ]
Skriver, Martin [1 ]
Johansen, Tor Arne [2 ]
机构：
[1] Univ Southern Denmark, Maersk McKinney Moller Inst, Ctr Unmanned Aerial Syst, Odense, Denmark
[2] Norwegian Univ Sci & Technol, Dept Cybernet Engn, Trondheim, Norway
来源：
2018 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA) | 2018年
关键词：
OPEN-CIRCUIT VOLTAGE; BOUNDARY OBSERVER; MODELS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents State-of-Charge (SoC) estimation of lithium-ion batteries using eXogenous Kalman filter (XKF). The state-space equation for the lithium-ion battery is obtained from the equivalent circuit model (ECM). It has linear process equations and a nonlinear output voltage equation. The estimation is done using a cascade of nonlinear observer and a linearized Kalman filter. The method is tested using experimental data of a lithium-ion-phosphate (LiFePO4) battery under dynamic stress test (DST) and federal urban driving schedule (FUDS). The results are compared with existing Kalman filters.
引用
收藏
页码：1403 / 1408
页数：6
相关论文
共 50 条
  • [31] On state-of-charge determination for lithium-ion batteries
    Li, Zhe
    Huang, Jun
    Liaw, Bor Yann
    Zhang, Jianbo
    [J]. JOURNAL OF POWER SOURCES, 2017, 348 : 281 - 301
  • [32] Adaptive Parameter Identification and State-of-Charge Estimation of Lithium-Ion Batteries
    Rahimi-Eichi, Habiballah
    Chow, Mo-Yuen
    [J]. 38TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2012), 2012, : 4012 - 4017
  • [33] Lithium-ion battery state-of-charge estimation based on a dual extended Kalman filter and BPNN correction
    Xing, Likun
    Ling, Liuyi
    Wu, Xianyuan
    [J]. CONNECTION SCIENCE, 2022, 34 (01) : 2332 - 2363
  • [34] State-of-charge estimation of lithium-ion batteries using LSTM and UKF
    Yang, Fangfang
    Zhang, Shaohui
    Li, Weihua
    Miao, Qiang
    [J]. ENERGY, 2020, 201 (201)
  • [35] Nonlinear Observer Designs for State-of-Charge Estimation of Lithium-ion Batteries
    Dey, Satadru
    Ayalew, Beshah
    [J]. 2014 AMERICAN CONTROL CONFERENCE (ACC), 2014, : 248 - 253
  • [36] An improved adaptive estimator for state-of-charge estimation of lithium-ion batteries
    Zhang, Wenjie
    Wang, Liye
    Wang, Lifang
    Liao, Chenglin
    [J]. JOURNAL OF POWER SOURCES, 2018, 402 : 422 - 433
  • [37] State-of-charge estimation of lithium-ion batteries based on ultrasonic detection
    Cai, Zhiduan
    Pan, Tianle
    Jiang, Haoye
    Li, Zuxin
    Wang, Yulong
    [J]. JOURNAL OF ENERGY STORAGE, 2023, 65
  • [38] Comparison of State-of-Charge Estimation Methods for Stationary Lithium-Ion Batteries
    Berrueta, A.
    San Martin, I.
    Sanchis, P.
    Ursua, A.
    [J]. PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 2010 - 2015
  • [39] Improved State-of-Charge and Voltage estimation of a Lithium-ion battery based on Adaptive Extended Kalman Filter
    Velivela, Naga Prudhvi
    Guha, Arijit
    [J]. 2023 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO, ITEC, 2023,
  • [40] State-of-Charge Estimation with State-of-Health Calibration for Lithium-Ion Batteries
    Wu, Tsung-Hsi
    Moo, Chin-Sien
    [J]. ENERGIES, 2017, 10 (07):
12345