SOC Estimation of Lithium Battery Based on Fuzzy Kalman Filter Algorithm

被引：0
|
作者：
Ma, Chuang [1 ]
Wu, Qinghui [1 ]
Hou, Yuanxiang [1 ]
Cai, Jianzhe [1 ]
机构：
[1] Bohai Univ, Coll Engn, Jinzhou, Liaoning, Peoples R China
来源：
2020 35TH YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC) | 2020年
关键词：
SOC; Lithium battery; Kahrcan filter algorithm and fitzzy control;
D O I：
10.1109/YAC51587.2020.9337670
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at predicting problem for the charged state of lithium batteries in electric vehicles(EV), an algorithm derived from fuzzy extended kalman filter is proposed on the basis of large estimation deviation of traditional methods. A second-order RC equivalent circuit model combining Thevenin and RC network is established to recognize the parameters for the battery model.A fuzzy controller is added into the traditional kalman filter algorithm to evaluate the state of charge (SOC) for battery from this paper. Using Matlab to verify, as well as the simulation results indicate the improved way enhances the accuracy of the estimated SOC.
引用
收藏
页码：324 / 329
页数：6
相关论文
共 50 条
  • [21] 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
  • [22] The multi-innovation extended Kalman filter algorithm for battery SOC estimation
    Li, Wenqian
    Yang, Yan
    Wang, Dongqing
    Yin, Shengqiang
    [J]. IONICS, 2020, 26 (12) : 6145 - 6156
  • [23] The multi-innovation extended Kalman filter algorithm for battery SOC estimation
    Wenqian Li
    Yan Yang
    Dongqing Wang
    Shengqiang Yin
    [J]. Ionics, 2020, 26 : 6145 - 6156
  • [24] SoC Estimation of Lithium Battery Based on AEKF Algorithm
    Guo, Yifeng
    Zhao, Zeshuang
    Huang, Limin
    [J]. 8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 2017, 105
  • [25] A Novel Online SOC Estimation Method for the Power Lithium Battery Pack Based on the Unscented Kalman Filter
    Wang, Shun-Li
    Shang, Li-Ping
    Li, Zhan-Feng
    Xie, Wei
    Yuan, Hui-Fang
    [J]. INTERNATIONAL CONFERENCE ON ENERGY DEVELOPMENT AND ENVIRONMENTAL PROTECTION (EDEP 2017), 2017, 168 : 98 - 105
  • [26] Adaptive Strong Tracking Unscented Kalman Filter Based SOC Estimation for Lithium-ion Battery
    Liu, Miao
    Cui, Naxin
    Liu, Shulin
    Wang, Chunyu
    Zhang, Chenghui
    Gong, Sizhao
    [J]. 2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 1437 - 1441
  • [27] State estimation of lithium polymer battery based on Kalman filter
    Jiabo Li
    Min Ye
    Kangping Gao
    Shengjie Jiao
    Xinxin Xu
    [J]. Ionics, 2021, 27 : 3909 - 3918
  • [28] State estimation of lithium polymer battery based on Kalman filter
    Li, Jiabo
    Ye, Min
    Gao, Kangping
    Jiao, Shengjie
    Xu, Xinxin
    [J]. IONICS, 2021, 27 (09) : 3909 - 3918
  • [29] SOC estimation of lithium battery based on online parameter identification and an improved particle filter algorithm
    Wu, Zhongqiang
    Hu, Xiaoyu
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY, 2024,
  • [30] Sliding Mode Control Based on Kalman Filter Dynamic Estimation of Battery SOC
    He, Dongmeia
    Hou, Enguang
    Qiao, Xin
    Liu, Guangmin
    [J]. MATERIALS SCIENCE, ENERGY TECHNOLOGY AND POWER ENGINEERING II (MEP2018), 2018, 1971
12345