摘要
通过蓄电池的端电压、内阻和放电电流等可测量与荷电状态(state of charge,SOC)之间的对应关系,建立端电压-电阻模型并以最小二乘法进行模型系数辨识,运用卡尔曼滤波算法进行蓄电池SOC最优估算。以铅酸蓄电池为对象进行仿真实验,得到的放电折算效率为1.067 8。实验结果表明该方法具有很好的精确度,能用于估算蓄电池的SOC。
According to correspondent relationship between measurable quantities including terminal voltage, internal resist- ance and discharge current of storage battery and its state of charge, this paper establishes terminal voltage-resistance model and proceeds its factor identification by method of the least squares and SOC optimal estimation by Kalman filter algorithm. It takes plumbic acid battery as object to proceed simulation experiment and gains a discharge reduced rate of 1. 0678. The experimental result shows this method is provided with good precision which is appropriate to estimate SOC of storage battery.
出处
《广东电力》
2013年第2期40-44,共5页
Guangdong Electric Power
关键词
蓄电池
荷电状态
卡尔曼滤波器
storage battery
state of charge
Kalman filter
