一种软包锂电池的质量检测方法及系统

By employing multi-directional filter processing and nonlinear fusion technology, the problem of distinguishing between mechanical wrinkles and electrolyte leakage in the edge sealing quality inspection of soft-pack lithium batteries has been solved, enabling accurate monitoring and evaluation of edge sealing quality and reducing the false alarm rate and false alarm rate of the detection system.

CN122048907BActive Publication Date: 2026-07-17DENGZHOU JUNDA NEW ENERGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
DENGZHOU JUNDA NEW ENERGY CO LTD
Filing Date
2026-02-06
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to effectively distinguish between mechanical wrinkles and electrolyte leakage in the sealing area of ​​pouch lithium batteries, and are easily affected by the strong reflectivity of aluminum-plastic composite films, resulting in persistently high false alarm and false alarm rates in detection systems.

Method used

Multi-directional filters, such as Log-Gabor filters, are used for convolution processing to extract the energy amplitude of each pixel in different directions. The anisotropy consistency index and leakage diffusion disturbance flux are calculated, and the edge sealing quality is evaluated by nonlinear fusion in combination with the physical distance of the pixel relative to the edge sealing centerline.

Benefits of technology

It enables accurate identification and evaluation of the sealing quality of soft-pack lithium batteries, improving the accuracy and stability of detection and reducing false positives and false negatives.

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Abstract

本发明属于图像处理技术领域,具体涉及一种软包锂电池的质量检测方法及系统,其方法包括:获取软包锂电池的封边图像,采用预设的滤波器在多个预设方向进行卷积处理,以获得各像素点在不同预设方向的能量幅值;根据各像素点在不同预设方向的能量幅值,以确定各像素点的各向异性一致性指标;计算各像素点在局部区域内的相位分布混乱程度以及灰度梯度,评估各像素点的浸润扩散特征,以确定各像素点的渗漏扩散扰动通量;将所述各向异性一致性指标与所述渗漏扩散扰动通量进行非线性融合,评估所述软包锂电池的封边质量状态。本发明能够实现对软包锂电池封边质量的精准识别与可靠评估。
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