Volume 33 Issue 08
Aug.  2007
Turn off MathJax
Article Contents
Wu Hongjie, Qi Bojin, Zheng Minxin, et al. Ni-MH battery state-of-charge estimation based on Kalman filter[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(08): 945-948. (in Chinese)
Citation: Wu Hongjie, Qi Bojin, Zheng Minxin, et al. Ni-MH battery state-of-charge estimation based on Kalman filter[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(08): 945-948. (in Chinese)

Ni-MH battery state-of-charge estimation based on Kalman filter

  • Received Date: 10 Oct 2006
  • Publish Date: 31 Aug 2007
  • The state-of-charge(SOC) is an important parameter for the electrical vehicle. A new Ni-MH battery nonlinear dynamic model in discrete-time state-space form was introduced. In the new model, SOC and state-of-polarization as states of the state vector were introduced to represent the dynamic behavior of the battery more accurately. Taking into account the charge accumulating effect that influence the terminal voltage, the model was modified by adding an accumulating item into the state equation. The SOC estimation method based on extended Kalman filter was studied. The battery voltage, current, internal resistance and temperature were used in the algorithm. The calculation equations were presented in detail. Charge and discharge experiments with constant current, pulse current and variable currents were implemented. The simulation with these experiment data shows that the method is benefit to improve the accuracy of SOC estimation. The method can be used in a battery management system and applied in hybrid electrical vehicles.

     

  • loading
  • [1] 吴红杰. 混合动力电动车镍氢动力电池管理技术研究 . 北京:北京航空航天大学机械工程及自动化学院,2006 Wu Hongjie. Study on Ni-MH battery management techniques for hybrid electric vehicle . Beijing:School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics,2006(in Chinese) [2] 齐国光,李建民,郏航,等. 电动汽车电量计量技术的研究[J]. 清华大学学报(自然科学版), 1997,37(3):47-50 Qi Guoguang; Li Jianmin, Jia Hang, et al. Research on the measuring technology of battery capacity for electric vehicles[J]. Journal of Tsinghua University(Sci & Tech),1997,37(3):47-50 (in Chinese) [3] Salkind A J,Fennie C, Singh P,et al.Determination of state-of-charge and state-of-health of batteries by fuzzy logic methodology[J]. Journal of Power Sources,1999,80(1/2):293-300 [4] 朱元,韩晓东,田光宇. 电动汽车动力电池SOC预测技术研究[J]. 电源技术, 2000,24(3):29-32 Zhu Yuan,Han Xiaodong,Tian Guangyu. Research on estimation technology of traction-battery SOC for electric vehicle[J]. Chinese Journal of Power Sources, 2000,24(3):29-32(in Chinese) [5] Cai C H, Du D, Liu Z Y. Battery state-of-charge (SOC) estimation using adaptive neuro-fuzzy inference system (ANFIS) IEEE International Conference on Fuzzy Systems. Piscataway,NJ:IEEE,2003,2:1068-1073  [6] Plett G L. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs-Part 3. State and parameter estimation[J]. Journal of Power Sources, 2004,134 (2):277-292 [7] Kalman R E. A new approach to linear filtering and prediction problems [J]. Transactions of the ASME-Journal of Basic Engineering, 1960,82:35-45 [8] 王志贤.最优状态估计与系统辨识[M]. 西安:西北工业大学出版社,2004:30-46,137-138 Wang Zhixian. Optimization estimation and system identification [M]. Xi-an:Northwestern Polytechnical University Press,2004:30-46,137-138(in Chinese)
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(3210) PDF downloads(2400) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return