传感技术学报2025，Vol.38Issue(7)：1214-1221,8.DOI:10.3969/j.issn.1004-1699.2025.07.010
基于超声频谱分析成像的动力电池铜铝汇流排无损检测
Nondestructive Testing of Copper-Aluminum Busbar of Power Battery Based on Ultrasonic Spectrum Analysis Imaging
应晓灵 1李扬 1冯劲珲1
作者信息
- 1. 广东工业大学机电工程学院,广东 广州 510006
- 折叠
摘要
Abstract
It is necessary to detect welding defects in the busbar,which is the connector of the power battery module output current.A novel ultrasonic A-scan signal spectral analysis imaging method,applicable to the product of full inspection,is proposed.In this meth-od,the improved version of variational mode decomposition(VMD),Hilbert transform(HT),time scale,and maximum inter-class vari-ance algorithm are used to process A-scan signals.A contrast parameter of reflected energy is attained by carrying out an integration op-eration within the frequency domain.Consequently,a normalized welding interface imaging map is generated,enabling the identification of the size,location,and area of the welding region.Compared with destructive tensile testing and conventional C-scan imaging methods,this new approach effectively reduces noise and minimizes the impact of surface scattering,thereby reducing the size identification error of the welding area by 5.3%.The identification accuracy of qualified products reached more than 99%.关键词
频谱分析/改进型VMD/多尺度分割/成像Key words
spectrum analysis/improved VMD/multi-scale segmentation/imaging分类
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应晓灵,李扬,冯劲珲..基于超声频谱分析成像的动力电池铜铝汇流排无损检测[J].传感技术学报,2025,38(7):1214-1221,8.
