新能源行业的快速发展自然而然的带动了锂电池的发展，虽然工艺日渐成熟，但生产的前、中、后仍然会存在一些人工无法检测出来的缺陷，想要严格把控好锂电池的品质，必须引进先进的自动化检测技术，将废品、次品 ( 可处理后利用 ) 和正品辨识出来后分别存放和处理，在出厂前必须进行严格的质量管控。
The rapid development of the new energy industry has naturally led to the development of lithium batteries. Although the process is increasingly mature, there are still some defects that cannot be detected manually before, during and after production. To strictly control the quality of lithium batteries, advanced automatic detection technology must be introduced, and waste products, defective products (which can be used after treatment) and genuine products must be identified and stored and processed separately, Strict quality control must be carried out before leaving the factory.
With the market's pursuit of battery energy density, aluminum shell has gradually become the mainstream. After the cell production is completed, it needs to be assembled in the shell. The quality of the aluminum shell directly affects the quality of the battery. The traditional manual visual inspection is subject to factors such as human eye speed, accuracy, working environment, objectivity and reliability. The detection efficiency is low, it is easy to be wrong and missed, the standards are different, and the stability is poor. In view of the appearance defects of the aluminum shell of the square lithium battery, Onvision developed a scientific visual inspection solution without affecting the normal operation of the customer's production line.
Detect scratches, dents, bulges, lack of material, flatness, dirt, size, etc.
The ultra-high precision 3D laser profiler is used to easily detect the appearance defects of the aluminum shell of the square lithium battery. The z-axis accuracy of 3D laser profiler can reach up to 0.3 μ m. The measurement width of x-axis is 8mm~500mm, and the accuracy of x-axis is 1 μ m~20 μ m. The scanning speed can reach up to 52000 contours/second, with ultra-wide field of vision, and realize ultra-high speed and accurate measurement for various defects.
The 3DCloud software is equipped with a variety of defect detection tools and in-depth learning. Users can circle the detection area by adding the required functions, set the detection parameters, debug and switch the comparison between 2D and 3D images, and detect the scratches, dents, bulges, missing materials, flatness, dirt, size, etc. in the detection area.
Detect and complete the OK/NG judgment.
With the continuous maturity of intelligent hardware and the improvement of algorithm capability, the industrial application of machine vision is also expanding. Machine vision inspection equipment is widely used in coating, winding, die-cutting, cell synthesis, packaging and other production links. Aiming at the defects in power battery production, it can accurately and quickly complete the inspection, helping enterprises reduce costs and improve quality.
The lithium battery visual inspection equipment customized and developed by Shandong Hongbao Automation Co., Ltd. can carry out all-round and multi-dimensional inspection in all aspects of the lithium battery production process. On the premise of ensuring product quality, it accelerates the efficiency of lithium battery production automation, reduces enterprise costs, and improves the detection effect relatively. The detection effect is stable, greatly improving the quality of products put on the market.