Design And Research On Lithium-ion Battery Pole Piece Inspection System Based On Machine Vision

As a very important power battery, Lithium-ion battery has been applied widely in a lot of fields. However,due to the brittleness of the material, the pole piece is easily damaged in bepowering and rolling, and these defects will seriously affect the quality and battery life. Traditional manual detection method is involuted and time-consuming, which can't meet the need of modern industrial inspection with high precision and speed. So a real-time and efficient Lithium-ion battery pole piece inspection system must be researched with the combination of new technologies. Machine vision has the features of high precision, fast speed, no-contact and etc. It has been applied more wildly in different engineering fields. This thesis discusses on the on-line Lithium-ion battery pole piece inspection system based on the theory of machine vision.Its main content includes:1. According to the features of on-line battery pole piece inspection system, it analyzes the work theory,software and hardware structure of on-line inspection based on machine vision;2. It analyzes the concrete technical flow of on-line inspection for battery pole piece which includes image acquisition, image processing,and feature extraction.3. It discusses many algorithms which are suitable for battery image processing, for example,median filter, histogram equalization, Canny operator edge detection, region growing, morphological area filling, and so on;4. In the choice of hardwares, it elaborates the select criterion for many hardwares in detail, and select the most suitable hardwares for battery pole piece inspection system;6. An on-line battery pole piece inspection system is designed with VC++ 6.0.