At present, as one of the national energy-saving and emission reduction strategies, new energy vehicles are not only sedans, but also all kinds of engineering vehicles have a trend of electrification. Therefore, major car companies have launched new energy vehicles. As new energy vehicles, power batteries are an indispensable part. The detection of batteries is directly related to the performance and safety of new energy vehicles.

At present, with the emergence and development of science and technology such as computer technology and artificial intelligence, and the continuous deepening of research, surface defect detection technology based on machine vision technology has emerged as the times require. The emergence of this technology has greatly improved the production efficiency and avoided the influence of operating conditions and subjective judgment on the test results, so as to achieve more accurate and faster surface defect detection on surface defects, and more rapid identification of product surface defects .

At present, as one of the national energy-saving and emission reduction strategies, new energy vehicles are not only sedans, but also all kinds of engineering vehicles have a trend of electrification. Therefore, major car companies have launched new energy vehicles. As a new energy vehicle, BP5038A power battery is an indispensable part. The detection of batteries is directly related to the performance and safety of new energy vehicles. According to the packaging form, the mainstream power batteries on the market are mainly divided into three categories: soft pack, square and cylindrical. Soft pack batteries are favored by major automobile manufacturers due to a series of advantages such as safety, high energy ratio, good electrochemical performance, long service life, and flexible design.

The appearance defect inspection of the battery is usually divided into three parts:

1. Dynamic pole piece size inspection before power battery forming: pole piece size inspection includes diaphragm thickness, width, height & width of conductive area, width of insulating area, etc. Under the production capacity of 0~100m/min, the production line must realize dynamic real-time detection.

2. Dynamic detection of pole piece defects before power battery forming: The forming process of power battery is unstable, the diaphragm leaking metal diaphragm is often drawn, the diaphragm coating is not correct, and the coating film is linearly offset and other abnormal phenomena occur. If the abnormality cannot be detected in real time and made into a lithium battery, a little carelessness will cause fire, explosion and other accidents!

3. After the battery module is formed, the mold.pack part is tested!

Taking CCD automatic optical inspection machine as an example, the processing method of machine vision inspection equipment in soft pack battery defect detection is briefly introduced. This solution uses dynamic high-pixel industrial cameras and high-definition industrial lenses, which are placed in multiple working positions. The optional lighting system is used for multi-angle lighting. Together with the self-developed vision software system, the soft-pack battery can be inspected for all-round defects, and automatically sorted. Pick out products with unqualified appearance. This device can remove foreign objects on the battery surface, scratches, indentations, polar earwax, corrosion, dents, polar ear burns, poor coding and other defects, and conduct a comprehensive inspection to eliminate them.

Advantages of battery pack CCD vision detector:

1. Improve efficiency: The efficiency of manual inspection is low. Computer vision inspection is much faster, can inspect hundreds or even thousands of components per minute, and can operate continuously for 24 hours.

2. High accuracy: The human eye is limited by physiological conditions and also affected by subjectivity. The accuracy cannot be guaranteed due to factors such as physical energy. The machine tool is not subject to subjective control, and as long as there is no difference in parameter settings, multiple machine tools can ensure the same accuracy.

3. Lower overall cost: Compared to human detection, machine vision inspection is more effective and less expensive in the long run.

4. Information integration: Machine vision inspection can measure various technical parameters at one time through multi-station measurement, such as the shape, size, appearance defects and product height of the inspected product.

5. Digital statistics management: measure data and generate reports instead of adding them manually.

6. Can be used in dangerous detection environment: The machine may detect well in harsh and dangerous environments, or when human vision is difficult to meet the needs.

7. No contact damage to the product: When the machine vision detects the workpiece, it does not need to contact the workpiece and will not cause contact damage to the workpiece. Manual testing must be contact testing, which is prone to contact damage.

8. More objective and stable: During manual testing, the testing results are affected by personal standards, emotions, energy and other factors. And the machine is carried out in strict accordance with the specifications, and the test results are more objective, reliable and stable.

9. Avoid secondary pollution: sometimes the source of manual work is unknown and the workpiece is polluted.

10. Simple maintenance: low technical requirements for operators and long service life.