Online SoC Estimation of Lithium Ion Battery for EV/BEV Using Kalman Filter with Fading Memory

被引：0
|
作者：
Lim, K. C. [1 ]
Bastawrous, H. A. [1 ]
Duong, V. H. [1 ]
See, K. W. [1 ]
Zhang, P. [1 ]
Dou, S. X. [1 ]
机构：
[1] Univ Wollongong, Inst Superconducting & Elect Mat, Wollongong, NSW 2522, Australia
来源：
2014 IEEE 3RD GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE) | 2014年
关键词：
CHARGE; STATE;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel algorithm based on fading Kalman filter to estimate the state of charge (SoC) of Li-ion battery used in electric vehicles is proposed and validated in this paper. Online identification of battery's electric model parameters followed by open circuit voltage estimation by fading Kalman filter resulted in accurate SoC estimation. The experimental results obtained from actual driving cycle in real-time reveal the robust performance of the proposed algorithm.
引用
收藏
页码：476 / 477
页数：2
相关论文
共 50 条
  • [1] SOC Estimation of Lithium -ion Battery Based on New Adaptive Fading Extended Kalman Filter
    Yang, Yaning
    Cui, Naxin
    Wang, Chunyu
    Liu, Miao
    Gao, Ruizhi
    [J]. 2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 5630 - 5634
  • [2] SOC estimation of HEV/EV battery using series kalman filter
    [J]. 1600, John Wiley and Sons Inc (187):
  • [3] SOC Estimation of HEV/EV Battery Using Series Kalman Filter
    Baba, Atsushi
    Adachi, Shuichi
    [J]. ELECTRICAL ENGINEERING IN JAPAN, 2014, 187 (02) : 53 - 62
  • [4] Application of Kalman Filter in SOC Estimation of Power Lithium-ion Battery
    Zhao Chen
    Chen Xikun
    [J]. ADVANCED DESIGNS AND RESEARCHES FOR MANUFACTURING, PTS 1-3, 2013, 605-607 : 1939 - 1943
  • [5] State of Charge (SOC) Estimation for Lithium-Ion Battery Cell Using Extended Kalman Filter
    Ucuncu, Murat
    Altindag, Arda
    [J]. 2019 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO 2019), 2019, : 503 - 509
  • [6] SOC estimation of Lithium-ion battery using Kalman filter and Luenberger observer: A comparative study
    Lagraoui, Mouhssine
    Doubabi, Said
    Rachid, Ahmed
    [J]. 2014 INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC), 2014, : 636 - 641
  • [7] Lithium-ion battery SOC estimation study based on Cubature Kalman filter
    Luo, Jiayi
    Peng, Jiankun
    He, Hongwen
    [J]. INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS, 2019, 158 : 3421 - 3426
  • [8] The Experiments of Dual Kalman Filter in Lithium Battery SOC Estimation
    Wang, Yungan
    Wang, Yingnan
    Wang, Zhongfeng
    Han, Fengli
    Li, Li-gang
    Wang, Xiaotian
    [J]. CURRENT DEVELOPMENT OF MECHANICAL ENGINEERING AND ENERGY, PTS 1 AND 2, 2014, 494-495 : 1509 - +
  • [9] SOC prediction of Lithium-Ion Battery using Extended Kalman Filter
    Khalil, I. U.
    Ahsan, Matiullah
    Ullah, Irshad
    Adnan, Arbab
    Khan, Naveed
    Nawaz, Shah
    [J]. 2018 INTERNATIONAL SYMPOSIUM ON RECENT ADVANCES IN ELECTRICAL ENGINEERING (IEEE RAEE), 2018,
  • [10] The Adaptive Fading Extended Kalman Filter SOC Estimation Method for Lithium-ion Batteries
    Zhao, Yunfei
    Xu, Jun
    Wang, Xiao
    Mei, Xuesong
    [J]. RENEWABLE ENERGY INTEGRATION WITH MINI/MICROGRID, 2018, 145 : 357 - 362
12345