SOC Estimation for Li-Ion Batteries Based on Equivalent Circuit Diagrams and the Application of a Kalman Filter

被引:0
|
作者
Rahmoun, Ahmad [1 ]
Biechl, Helmuth [1 ]
Rosin, Argo [2 ]
机构
[1] Univ Appl Sci Kempten, Inst Appl Battery Res, Kempten, Germany
[2] Tallinn Univ Technol, Dept Elect Drives & Power Elect, EE-19086 Tallinn, Estonia
关键词
Batteries; Kalman filters; battery management system; state estimation; equivalent circuits;
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
Batteries play an essential role in electric vehicles (EV), and obtain more and more importance also in smart grids due to the non-constant power generation of renewable energy sources. In order to achieve an optimum operation of systems with batteries it is necessary to develop accurate mathematical models for the calculation of the state of charge (SOC), taking into account the individual operation by the user. This paper presents the fundamentals of a method how to determine SOC of lithium-ion batteries on the basis of two different equivalent circuit diagrams and an Extended Kalman Filter (EKF). The comparison between measurement and computation results shows a good accordance. The accurate determination of SOC of a battery in an EV is of high importance for the prediction of the distance that can be driven. In the first step the dependency of these parameters on the temperature and on the battery age is neglected.
引用
收藏
页码:273 / 276
页数:4
相关论文
共 50 条
  • [1] A method of SOC estimation for power Li-ion batteries based on equivalent circuit model and extended Kalman filter
    Zhang, Siwen
    Sun, Hua
    Lyu, Chao
    [J]. PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018), 2018, : 2683 - 2687
  • [2] Kalman Filter SoC estimation for Li-Ion batteries
    Spagnol, P.
    Rossi, S.
    Savaresi, S. M.
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS (CCA), 2011, : 587 - 592
  • [3] Li-ion Battery SOC Estimation Using Particle Filter Based on an Equivalent Circuit Model
    Du Jiani
    Wang Youyi
    Wen Changyun
    [J]. 2013 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA), 2013, : 580 - 585
  • [4] SOC Estimation of Li-Ion Battery Based on Unscented Kalman Filter
    Li, Zheng
    Chen, Qiushuo
    Yue, Feihong
    Zhang, Yan
    [J]. 2018 21ST INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2018, : 2177 - 2182
  • [5] Modelling of Li-ion batteries using equivalent circuit diagrams
    Rahmoun, Ahmad
    Biechl, Helmuth
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (7B): : 152 - 156
  • [6] An extended Kalman filter based SOC estimation method for Li-ion battery
    Cui, Zhenjie
    Hu, Weihao
    Zhang, Guozhou
    Zhang, Zhenyuan
    Chen, Zhe
    [J]. ENERGY REPORTS, 2022, 8 : 81 - 87
  • [7] A Novel SOC Estimation Method for Li-Ion Batteries Based on Improved Kalman Filter with Parameter Online Identification
    Xiong Yonghua
    Yang Yan
    He Yong
    Wu Min
    An Jianqi
    [J]. PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 6820 - 6825
  • [8] State estimation using physics-based equivalent circuit models of a Li-ion cell and Kalman filter
    Cheng, Si
    Zhang, Yong
    Cheng, Xu-Feng
    Zhang, Xi
    [J]. IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2017, : 5280 - 5286
  • [9] Application of unscented Kalman filter in the SOC estimation of Li-ion battery for Autonomous Mobile Robot
    Shi, Pu
    Zhao, Yiwen
    Shi, Pu
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2006, : 1279 - 1283
  • [10] Li-ion Battery Modeling and SOC Estimation Using Extended Kalman Filter
    Disci, Fatma Nur
    El-Kahlout, Yasser
    Balikci, Abdulkadir
    [J]. 2017 10TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO), 2017, : 166 - 169