Part.1 Industry Background
As new energy vehicles become a focus of development globally, companies have stricter requirements for battery quality control and testing. In the context of the rapid development of the machine vision industry, a series of powerful and complete 3D cameras are available on the market, which can meet the 3D inspection needs of various processes and stations of lithium batteries from batteries to modules.
(Image source: Internet)
For users, the handling, interior and driving assistance technology of new energy vehicles are indeed more fragrant than traditional fuel vehicles, and the sense of technology is stronger. However, since the promotion of new energy vehicles, natural fire accidents have never stopped. As early as 2019, at the China (Qinghai) Lithium Industry and Power Battery International Summit Forum, Ouyang, academician of the Chinese Academy of Sciences and executive vice chairman of the China Electric Vehicle Association Minggao has already pointed out that the essence of new energy vehicle safety accidents is battery thermal runaway.
In view of the above pain points, in order to ensure the safety of users, it is necessary to conduct a comprehensive inspection of the appearance, size, capacity, internal resistance, temperature, etc. of lithium batteries. The inspection contents include deformation, leakage, cracks, damage, corrosion or oxidation, etc. When using the battery, perform discharge, temperature, internal resistance and other operations to detect its health status and performance stability.
The traditional detection method is to use manual measurement and judgment, but manual detection is greatly interfered by human subjective factors, with low efficiency and high cost, which greatly affects the detection results. Therefore, the use of machine vision can overcome the above shortcomings and improve The degree of automation of the production system.
(Figure: New energy vehicle lithium battery surface defect detection)
Part.2 Industry Pain Points
1. Lithium batteries have two colors, black and silver. Silver is more reflective and requires a better uniformity of the light source. It can be distinguished from the background when detecting wrinkles
2. Manual inspection is difficult to find defects in battery components in the early stage of production, and long-term work may also cause some damage to workers' eyes. Today, with labor costs getting higher and higher, inspection workers also have difficulty in recruiting workers.
3. The detection process must be automated. Traditional detection methods cannot cope with frequent iterations and fail to meet the higher needs of enterprises.
The traditional manual inspection method is time-consuming, labor-intensive, low-efficiency, and prone to missed and false detections of defects. Using Xianyang Technology 3D machine vision, through graphical programming and parameter configuration, can achieve higher detection accuracy.
(Image source: Internet)
Part.3 Solution
Xianyang Technology's HY-M5 3D vision system has a field of view of 529x362-1164x979mm², a measurement accuracy of ±0.01mm, and a large depth of field, meeting the required measurement accuracy requirements. Through the image processing algorithm, the surface features and information of the lithium battery are extracted, and then the data processing and analysis algorithm are used to derive accurate measurement results. HY-M5 3D vision system has strong anti-interference performance, and can resist the error of measurement results caused by the reflection of objects due to environmental factors.
HY-M5 3D machine vision system can realize high-speed and continuous image acquisition and processing, and can quickly detect a large number of lithium battery surface defects and improve production efficiency. At the same time, automated data processing greatly reduces labor costs and errors, can maintain stable performance under different environments and conditions, and improve product quality and safety.
