基于延拓相关算法的蓄电池内阻参数提取研究
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摘要
针对蓄电池内阻参数提取中待测微弱信号易受噪声和干扰的影响,利用信号和噪声的不相关性,提出了一种基于延拓相关理论的抗噪处理算法;该算法选取两路同频正交参考信号中的一路信号注入蓄电池,然后将输出信号和原两路正交参考信号分别经过采样滤波后转化成离散序列,对离散信号进行延拓相关运算,最后利用和差三角函数得到内阻幅值和相位的计算值;实验结果表明,在高噪声背景下该算法有较高信号分辨率,对蓄电池内阻幅值和相位的测量有较高准确度。
Considering the influence of noise and interference on the weak signal to be detected in the extraction of internal resistance parameters,a noise immunity algorithm based on continuation correlation theory is proposed,which is based on the correlation between signal and noise.The algorithm selects one of the two orthogonal reference signals in the same frequency signal and injects into the battery,then the output signal and the reference signal respectively through two orthogonal sampling filter are transformed into discrete sequence of discrete signal extension related operations,and finally calculates trigonometric obtain amplitude and phase values of resistance.The experimental results show that the algorithm has high signal resolution in the high noise background,and has a high accuracy for measuring the amplitude and phase of the battery internal resistance.
Considering the influence of noise and interference on the weak signal to be detected in the extraction of internal resistance parameters,a noise immunity algorithm based on continuation correlation theory is proposed,which is based on the correlation between signal and noise.The algorithm selects one of the two orthogonal reference signals in the same frequency signal and injects into the battery,then the output signal and the reference signal respectively through two orthogonal sampling filter are transformed into discrete sequence of discrete signal extension related operations,and finally calculates trigonometric obtain amplitude and phase values of resistance.The experimental results show that the algorithm has high signal resolution in the high noise background,and has a high accuracy for measuring the amplitude and phase of the battery internal resistance.
引文
[1]唐骏宇,冯长江.基于特征分解谱估计的蓄电池内阻检测方法[J].计算机测量与控制,2016,24(6):37-40.
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[7]李运涛,曹建刚,董志强,等.蓄电池内阻检测方法研究与实现[J].火炮发射与控制学报,2012(4):59-62.
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[9]温巍,胡绍海.基于正弦波扫描激励的铅酸电池内阻分析[J].电池,2012,42(4):223-224.
[10]Khan M R,Mulder G,Van Mierlo J.An online framework for state of charge determination of battery systems using combined system identification approach[J].Journal of Power Sources.2014,(246):629-641.
[2]沈廷鳌,涂亚庆,刘翔宇,等.基于相关原理的非整周期信号相位差测量算法[J].仪器仪表学报,2014,35(9):2153-2160.
[3]沈艳林,涂亚庆,刘鹏,等.非整周期采样信号频率估计的相频匹配方法[J].仪器仪表学报,2015,36(6):1221-1226.
[4]田蕊.基于现代信号处理的铅酸蓄电池内阻检测[D].北京:北京交通大学,2014.
[5]沈廷鳌,涂亚庆,李明,等.数据延拓式相关的相位差测量方法及验证[J].仪器仪表学报,2014,35(6):1331-1337.
[6]王静,李忠科.25Hz相敏轨道电路相位差测量非整周期采样误差校正算法[J].计算机应用,2017,37(S1):374-376.
[7]李运涛,曹建刚,董志强,等.蓄电池内阻检测方法研究与实现[J].火炮发射与控制学报,2012(4):59-62.
[8]邓荣,江国栋.高质量抑制噪声的便携式蓄电池内阻测试仪[J].电测与仪表,2013,50(9):105-108.
[9]温巍,胡绍海.基于正弦波扫描激励的铅酸电池内阻分析[J].电池,2012,42(4):223-224.
[10]Khan M R,Mulder G,Van Mierlo J.An online framework for state of charge determination of battery systems using combined system identification approach[J].Journal of Power Sources.2014,(246):629-641.