Lithium battery defect detection device based on battery temperature field and visible light image

Abstract

The invention discloses a lithium battery defect detection device based on a battery temperature field and a visible light image. The appearance information of a lithium battery of the infrared thermal image, the temperature field distribution and the visible spectrum section image can be measured in different states (charging, discharging, processing and transportation), different directions (positive side view, negative side view and shell top view)), different time (continuous observation on a production line) and different complex backgrounds (the production line is complex in thermal noise environment). A double-waveband defect detection algorithm is used, and when the defect is detected, the influence of the production process and the production line environment on the detection canbe corrected in real time, the sensitivity of the system is improved, and finally the defective lithium battery is removed from the production line. The invention is advantageous in that the externalpackaging defect detection and internal material defect detection method are integrated; the defect detection integrity and accuracy can be guaranteed, and the reliability and the efficiency of lithium battery defect detection are greatly improved, and the automation degree of the lithium battery production line is improved.

Description

technical field [0001] The invention relates to the technical field of electric vehicle lithium battery production and detection, in particular to a lithium battery defect detection device based on the battery temperature field and visible light images. Background technique [0002] The traditional lithium battery assembly line is based on manual inspection. In order to improve production efficiency, it is necessary to replace the manual defect detection link. Existing lithium battery detection devices have a single method, whether it is extracting defect features from the appearance of the shape, or extracting defect features from the lithium battery material and working mechanism, there is a problem that it cannot cover all defect features, and the probability of missed detection is relatively high. [0003] One of the difficulties of the detection device is that it is equally important to increase the detection probability and suppress the false detection probability, and...

AI Technical Summary

Problems solved by technology

[0004] No matter what kind of detection device, there is a problem of environmental adaptability, that is, the detection sensitivity and environmental adaptability of the detection device cannot be improved together

Generally speaking, traditional detection devices perform well in the detection of certain defect features in some environments, but do not perform well in the detection of some defect features in other environments

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