电池2017，Vol.47Issue(6)：336-338,3.DOI:10.19535/j.1001-1579.2017.06.005
带有色观测噪声AUKF的锂离子电池SOC估计
SOC estimation of Li-ion battery based on AUKF with colored measurement noise
张伟 1杜威1
作者信息
- 1. 青岛科技大学自动化与电子工程学院,山东青岛266000
- 折叠
摘要
Abstract
In actual conditions,measurement parameters of batteries were easily disturbed by colored noise,only the measurement noise was considered to satisfy one-order autoregressive model.An algorithm of adaptive unscented Kalman filter with colored measurement noise(CM-AUKF) was proposed.The algorithm could accurately estimate state of charge(SOC) and possess algorithm stability,for the mean absolute error was 0.000 4 and the root mean square error was 0.000 3.The sensitivity of initial covariance value of system noise was solved,the adaptation of estimating SOC was improved.关键词
有色噪声/自适应/无迹卡尔曼滤波/荷电状态(SOC)/锂离子电池Key words
colored noise/adaptive/unscented Kalman filter/state of charge(SOC)/Li-ion battery分类
信息技术与安全科学引用本文复制引用
张伟,杜威..带有色观测噪声AUKF的锂离子电池SOC估计[J].电池,2017,47(6):336-338,3.
