超级电容电气参数辨识中激励信号与数据预处理问题分析

Issue Analysis of Stimulus and Data Pre-processing for Supercapacitor Electrical Parameters Identification

准确辨识超级电容电气性能参数是评价其使用性能的重要依据,因此在辨识实验设计和辨识数据的分析处理方面要深入分析并采用合适的方法,以此来提高参数辨识的精度。分别对辨识实验中涉及的激励信号的选择、实验数据长度和采样周期的确定、实验数据的滤波处理等问题进行讨论,并给出具体的解决方案。通过实验和仿真结果对比发现,基于文中的参数辨识实验设计方法,对原始实验数据经小波滤波预处理后可以获得更为精确的参数辨识结果,为实现超级电容电气参数的准确辨识提供了理论指导和依据。

In order to estimate the performance of supercapacitor,it is important to identify correctly its electrical pa-rameters. Therefore,firstly,the design of identification experiment and data processing which will influence the ac-curacy of identification should be analyzed in depth. In this paper,the selection of stimulus signal,the definition ofthe length of experimental data and sampling period,and the data filtering method are particularly discussed,andconcrete solutions are presented. The comparison of experimental and simulation results show that,based on theidentification experiment designing process and wavelet filtering method,we can acquire more precise identificationresults of supercapacitor electrical parameters. This paper provides the theoretical direction and the basis for the real-ization of accurate identification of supercapacitor’s electrical parameters.