LiFePO4 Battery Pack Capacity Estimation for Electric Vehicles Based on Unscented Kalman Filter

被引：0
|
作者：
Zhao, Lei [1 ]
Xu, Guoqing [1 ]
Li, Weimin [1 ]
Taimoor, Zahid [1 ]
Song, Zhibin [1 ]
机构：
[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China
来源：
2013 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA) | 2013年
关键词：
unscented Kalman filter(UKF); extended kalman filter (EKF); Thevenin model; state of charge(SOC); battery management system(BMS); OF-CHARGE ESTIMATION; LITHIUM-ION BATTERY; MANAGEMENT-SYSTEMS; STATE;
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：
As is known to all, an accurate on-line estimation of the battery capacity is important for forecasting the EV driving range. But because of the different driving environment and the property of the battery, it is hard to estimate the capacity of the battery pack. This paper presents an unscented Kalman filtering method to estimate the state of charge of LiFePO4 battery pack. Five comparison experiments with different open circuit voltage curves shows that the unscented Kalman filter has a better performance than extended kalman filter.
引用
收藏
页码：301 / 305
页数：5
相关论文
共 50 条
  • [1] Performance Analysis of Particle Filter for SOC Estimation of LiFePO4 Battery Pack for Electric Vehicles
    Zahid, Taimoor
    Xu, Guoqing
    Li, Weimin
    Zhao, Lei
    Xu, Kun
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), 2014, : 1061 - 1065
  • [2] LiFePO4 battery pack capacity estimation for electric vehicles based on charging cell voltage curve transformation
    Zheng, Yuejiu
    Lu, Languang
    Han, Xuebing
    Li, Jianqiu
    Ouyang, Minggao
    [J]. JOURNAL OF POWER SOURCES, 2013, 226 : 33 - 41
  • [3] Remaining charge estimation of LiFePO4 power battery using an Unscented Kalman Filter
    Yu, Zhaowei
    Li, Weimin
    Zahid, Taimoor
    [J]. COMPUTING, CONTROL, INFORMATION AND EDUCATION ENGINEERING, 2015, : 325 - 328
  • [4] A LiFePO4 battery pack capacity estimation approach considering in-parallel cell safety in electric vehicles
    Wang, Limei
    Cheng, Yong
    Zhao, Xiuliang
    [J]. APPLIED ENERGY, 2015, 142 : 293 - 302
  • [5] Sequential Monte Carlo based Technique for SOC Estimation of LiFePO4 Battery Pack for Electric Vehicles
    Zahid, Taimoor
    Qin, Feiyan
    Li, Weimin
    Xu, Kun
    Zhou, Yimin
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), 2016, : 1308 - 1312
  • [6] Application of square root sigma point Kalman filter to SOC estimation of LiFePO4 battery pack
    Zhang, Jinlong
    Tong, Wei
    Qi, Hanhong
    Zhang, Chunjiang
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2016, 36 (22): : 6246 - 6253
  • [7] A wavelet transform-adaptive unscented Kalman filter approach for state of charge estimation of LiFePo4 battery
    Li, Yanwen
    Wang, Chao
    Gong, Jinfeng
    [J]. INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2018, 42 (02) : 587 - 600
  • [8] Implementation of Unscented Kalman Filter-based Online State-of-Charge Estimation in LiFePO4 Battery-powered Electric Vehicle Applications
    Huang, Boyan
    Wang, Chenxi
    Zhu, Zheng
    Shen, Yi
    Xiao, Yegui
    [J]. BATTERIES AND ENERGY TECHNOLOGY JOINT GENERAL SESSION, 2017, 75 (18): : 3 - 11
  • [9] Fading Kalman filter-based real-time state of charge estimation in LiFePO4 battery-powered electric vehicles
    Lim, KaiChin
    Bastawrous, Hany Ayad
    Van-Huan Duong
    See, Khay Wai
    Zhang, Peng
    Dou, Shi Xue
    [J]. APPLIED ENERGY, 2016, 169 : 40 - 48
  • [10] Temperature Characteristics Research on LiFePO4 Cells Series Battery Pack in Electric Vehicles
    Feng, Fei
    Lu, Rengui
    Zhang, Shaojie
    Zhu, Chunbo
    Wei, Guo
    [J]. INTELLIGENT COMPUTING IN SMART GRID AND ELECTRICAL VEHICLES, 2014, 463 : 460 - 468
12345