会议论文详细信息
2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering
Study of SOC dynamic estimation method of power lithium battery
材料科学;无线电电子学;电工学
Gou, Yanan^1 ; Han, Xuezheng^1
College of Mechanical and Electrical Engineering, Zaozhuang University, Zaozhuang, China^1
关键词: Battery modeling;    Charging state;    Discharging characteristics;    Equivalent model;    Kalman filtering algorithms;    MATLAB /simulink;    Partnership for a new generation of vehicles;    SOC estimations;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/3/032057/pdf
DOI  :  10.1088/1757-899X/452/3/032057
学科分类:材料科学(综合)
来源: IOP
PDF
【 摘 要 】

The Partnership for a New Generation of Vehicles (PNGV) battery equivalent model is established on the basis of the existing charging state estimation method. Based on the kalman filtering algorithm, a state space expression based on the Davidson's battery model is established. Finally, Matlab/Simulink is used for simulating calculation. Simulation and experiment show that the selected PNGV model has high precision and can simulate the charging and discharging characteristics of the battery truly, so that the SOC estimation value is controlled within the range of high precision.

【 预 览 】
附件列表
Files Size Format View
Study of SOC dynamic estimation method of power lithium battery 131KB PDF download
  文献评价指标  
  下载次数:8次 浏览次数:34次