Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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

A defect detection and battery temperature technology, applied in the direction of measuring devices, measuring electricity, measuring electrical variables, etc., can solve the problems of environmental adaptability, poor performance, and the inability to improve the detection sensitivity of the detection device and the environmental adaptability, etc., to achieve The effect of improving efficiency and improving signal-to-noise ratio

Pending Publication Date: 2018-11-02
UNIV OF SCI & TECH OF CHINA
View PDF7 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Lithium battery defect detection device based on battery temperature field and visible light image
  • Lithium battery defect detection device based on battery temperature field and visible light image
  • Lithium battery defect detection device based on battery temperature field and visible light image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0038] Such as Figure 1-2 As shown, the present invention is a lithium battery defect detection device based on the battery temperature field and visible light images, including a visual information sensor, a defect sensing computer, and a defect actuating device.

[0039] The visual information sensor consists of 3 to 4 industrial-grade high-definition pixel cameras and LED light sources. Among them, two sets are installed in series on the top of the conveying surface to keep 20% of the field of view overlapping, and one set is installed on each side of the conveyor belt. According to the lighting environment of the production line, select the appropriate shape of the light source and the installation position of the LED light source, so that the lithium battery delivery area can be evenly illuminated.

[0040] The defect-aware computer is ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
Inventor 汪箭何浩丁超
Owner UNIV OF SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products