基于延拓相关算法的蓄电池内阻参数提取研究

Research on internal resistance parameter extraction of battery based on extension correlation algorithm

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。

Abstract:

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.