State of Charge Estimation of Power Lithium Battery Based on Extended Kalman Filter

被引：0
|
作者：
Feng, Huizong [1 ]
Qin, Liangyan [1 ]
Xu, Yang [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Sch Automat, Chongqing, Peoples R China
来源：
2019 CHINESE AUTOMATION CONGRESS (CAC2019) | 2019年
关键词：
SOC; Equivalent circuit model; EKF algorithm; MANAGEMENT-SYSTEMS; PACKS;
D O I：
10.1109/cac48633.2019.8996745
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The chemical reaction process of the vehicle power lithium battery is complicated, and the battery has typical time-varying and nonlinear characteristics. High precision SOC (State Of Charge) estimation algorithm takes a long time and is computationally intensive. In practical use, the ampere-hour integral method is applied more, but it is easy to cause time accumulation error. In this paper, considering the simplification and accuracy of the algorithm, the second-order RC equivalent circuit model is built according to the battery test data, and the SOC estimation of the battery is completed by EKF (Extended Kalman Filtering) algorithm. The simulation results show that the estimation accuracy can be kept within 3%.
引用
收藏
页码：518 / 523
页数：6
相关论文
共 50 条
  • [21] State of charge estimation of vanadium redox battery based on improved extended Kalman filter
    Qiu, Ya
    Li, Xin
    Chen, Wei
    Duan, Ze-min
    Yu, Ling
    ISA TRANSACTIONS, 2019, 94 : 326 - 337
  • [22] State of Charge estimation of lithium ion battery based on extended Kalman filtering algorithm
    Yang, Fan
    Feng, Yiming
    Pan, Binbiao
    Wan, Renzhuo
    Wang, Jun
    2ND INTERNATIONAL CONFERENCE ON MATERIALS SCIENCE, ENERGY TECHNOLOGY AND ENVIRONMENTAL ENGINEERING (MSETEE 2017), 2017, 81
  • [23] State of charge estimation of lithium battery based on Dual Adaptive Unscented Kalman Filter
    Zhang, Peng
    Xie, Changjun
    Dong, Shibao
    2018 IEEE INTERNATIONAL POWER ELECTRONICS AND APPLICATION CONFERENCE AND EXPOSITION (PEAC), 2018, : 2174 - 2179
  • [24] Data-Driven State of Charge Estimation for Power Battery With Improved Extended Kalman Filter
    Liu, Xingtao
    Li, Qiule
    Wang, Li
    Lin, Mingqiang
    Wu, Ji
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
  • [25] Data-Driven State of Charge Estimation for Power Battery With Improved Extended Kalman Filter
    Liu, Xingtao
    Li, Qiule
    Wang, Li
    Lin, Mingqiang
    Wu, Ji
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
  • [26] State of Charge Estimation for Power Battery Using Improved Extended Kalman Filter Method Based on Neural Network
    Liu, Xiaoyu
    Zhang, Xiang
    APPLIED SCIENCES-BASEL, 2023, 13 (18):
  • [27] Joint estimation of state of charge and state of health for lithium-ion battery based on dual adaptive extended Kalman filter
    Li, Jiabo
    Ye, Min
    Gao, Kangping
    Xu, Xinxin
    Wei, Meng
    Jiao, Shengjie
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2021, 45 (09) : 13307 - 13322
  • [28] State of Charge (SOC) Estimation for Lithium-Ion Battery Cell Using Extended Kalman Filter
    Ucuncu, Murat
    Altindag, Arda
    2019 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO 2019), 2019, : 503 - 509
  • [29] A hierarchical adaptive extended Kalman filter algorithm for lithium-ion battery state of charge estimation
    Wang, Dongqing
    Yang, Yan
    Gu, Tianyu
    JOURNAL OF ENERGY STORAGE, 2023, 62
  • [30] Lithium-ion battery state-of-charge estimation based on a dual extended Kalman filter and BPNN correction
    Xing, Likun
    Ling, Liuyi
    Wu, Xianyuan
    CONNECTION SCIENCE, 2022, 34 (01) : 2332 - 2363
12345