Equipped with 16MP high-resolution CCD cameras and dual-angle LED light sources, achieving full-coverage inspection of all surfaces of the battery case, including the inner wall, outer wall, and edge details. The built-in AI deep learning algorithm can identify fine defects as small as 0.005mm, with a defect detection rate of over 99.8%. It supports automatic sorting of defective products and docking with the MES system of the automobile production line, realizing full traceability of production data. The dust-proof and anti-corrosion design adapts to the harsh environment of the new energy battery production workshop, and the modular design facilitates later maintenance and upgrades.
The total power of the equipment is 9KW, with an adjustable battery case size range of 100mm to 500mm in length, 50mm to 400mm in width, and 0.5mm to 3mm in thickness. The workpiece positioning accuracy is ±0.01mm, ensuring accurate detection of dimension deviations. The quick-change fixture system can complete the replacement of detection fixtures in only 20 minutes, adapting to the production needs of multiple battery case models. The LED light source has a service life of 70,000 hours, and the equipment supports remote monitoring and fault diagnosis functions, meeting the IATF16949 automotive industry quality management standards.
This machine is mainly applied to new energy vehicle power battery manufacturing factories, energy storage battery producers, auto parts suppliers, and battery shell processing factories. It is suitable for detecting appearance defects of various battery shells such as square battery shells, soft-packed battery shells, and cylindrical battery shells, ensuring that the battery shells meet the high-quality requirements of the new energy automotive industry and providing reliable quality assurance for the production of new energy vehicles and energy storage products.
Post RFQ
Chat
ALL CATEGORIES