带有色观测噪声AUKF的锂离子电池SOC估计 |
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引用本文: | 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, 0(6): 336-338. DOI: 10.19535/j.1001-1579.2017.06.005 |
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作者姓名: | 张伟 杜威 |
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作者单位: | 青岛科技大学自动化与电子工程学院,山东青岛,266000 |
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摘 要: | 在实际工况中,电池测量参数易受相关性较强的有色噪声干扰。仅考虑有色观测噪声满足一阶自回归模型,提出一种带有色观测噪声的自适应无迹卡尔曼滤波算法(CM-AUKF)。算法对荷电状态(SOC)估计的平均绝对误差为0.000 4,均方根误差为0.000 3,估计精度和稳定性较高,可克服对系统噪声方差初值敏感的问题,提高SOC估计的自适应能力。
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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 |
SOC estimation of Li-ion battery based on AUKF with colored measurement noise |
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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. |
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Keywords: | colored noise adaptive unscented Kalman filter state of charge(SOC) Li-ion battery |
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