Automatic classification device and classification method for cells

Abstract

The invention discloses an automatic classification device and a classification method for cells. The classification device comprises a main conveying line, at least two code scanning devices and transfer devices, wherein the main conveying line is used for conveying cells; the at least two code scanning devices are sequentially distributed at one side of the cell conveying line, and used for scanning identification codes on the end surfaces of the cells to determine the types of the cells; and the transfer devices are in one-to-one correspondence with the code scanning devices separately, located behind the code scanning devices, and used for moving out the cells corresponding to the code scanning devices in position from the main conveying line according to the identification results ofthe code scanning devices, or not acting. According to the scheme, the classification device is exquisite in design and simple in structure; sequential conveying for the cells is carried out through the conveying line; identification codes bound with cell grade information are identified by virtue of the plurality of code scanning devices, so that the grades of the cells can be automatically determined; and then the transfer devices matched with the code scanning devices separately are combined, and then the cells with various grades can be automatically transferred out of the main conveying line to realize classification. The classification device is high in automation degree, improved in grading efficiency and capable of adequately ensuring the grading accuracy.

Description

technical field [0001] The invention relates to the field of battery processing equipment, in particular to an automatic battery classification device and a classification method thereof. Background technique [0002] Cylindrical batteries are one of the commonly used batteries at present, which are widely used in notebook computers, mobile power supplies, power tools, electric vehicles and other fields. [0003] Cylindrical batteries produced in the same batch have the same external dimensions and manufacturing process, but the parameters such as battery capacity and internal resistance are not the same. They need to be tested and classified, especially before they leave the factory. After the voltage internal resistance test, the batteries are classified and placed according to the battery performance. [0004] The usual classification method is to manually take the battery cells from the material box to identify the mark on the battery cell used to represent the grade of...

AI Technical Summary

Problems solved by technology

[0004] The usual classification method is to manually take the battery cells from the material box to identify the mark on the battery cell used to represent the grade of the battery cell, so as to determine the grade of the cylindrical battery cell, and place the cylindrical battery cell in the receiving box of the corresponding grade. Manual classification can only identify and classify one cell at a time. The identification and classification efficiency is low and the cost is high. The classification accuracy is greatly affected by human factors, and it is prone to operational errors, resulting in missed detection and wrong classification placement.

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