CN-122016859-A - Preparation method and device of battery monomer and battery monomer

CN122016859ACN 122016859 ACN122016859 ACN 122016859ACN-122016859-A

Abstract

The application relates to a preparation method and device of a battery monomer and the battery monomer. The method comprises the steps of winding a positive pole piece, a negative pole piece and an isolating film to form a battery cell assembly, pre-pressing and shaping the battery cell assembly, conveying the shaped battery cell assembly to a visual detection station, positioning the battery cell assembly at the visual detection station, obtaining a plurality of visual angle images of the battery cell assembly, detecting the diaphragm state of the battery cell assembly according to the plurality of visual angle images, judging whether the battery cell assembly has a diaphragm wrinkling defect to obtain a detection result of the battery cell assembly, judging that the battery cell assembly is good if the detection result is that the diaphragm state of the battery cell assembly accords with a preset state, continuing to prepare the battery cell assembly along a preset good product circulation path, judging that the battery cell assembly is abnormal if the detection result is that the diaphragm state of the battery cell assembly does not accord with the preset state, and picking the battery cell assembly to an abnormal product processing path. The detection accuracy is improved.

Inventors

XIE CHENGUANG
JIA GUOWEI
MA YUJUN

Assignees

浙江晶科储能有限公司

Dates

Publication Date: 20260512
Application Date: 20260413

Claims (10)

1. A method of making a battery cell, the method comprising: winding the positive pole piece, the negative pole piece and the isolating film to form a battery cell assembly, and prepressing and shaping the battery cell assembly; conveying the shaped battery cell assembly to a visual detection station, and positioning the battery cell assembly at the visual detection station; Acquiring a plurality of view angle images of the battery cell assembly; detecting the diaphragm state of the battery cell assembly according to the multiple view angle images, and judging whether the battery cell assembly has a diaphragm wrinkling defect or not to obtain a detection result of the battery cell assembly; And if the detection result is that the diaphragm state of the battery cell assembly does not accord with the preset state, judging that the battery cell assembly is abnormal, and picking the battery cell assembly to an abnormal processing path.
2. The method of claim 1, wherein the vision inspection station is provided with a photoelectric sensor and at least one positioning block, and wherein positioning the cell assembly at the vision inspection station comprises: The photoelectric sensor detects that the battery cell assembly reaches the visual detection station, generates a trigger signal and sends the trigger signal to the controller; the controller is responsive to the trigger signal to drive the at least one positioning block to define a position of the cell assembly.
3. The method of claim 2, wherein the acquiring a plurality of view images of the cell assembly comprises: The controller responds to the trigger signal, sends photographing instructions to at least two cameras, acquires images of the end face of at least one side of the battery cell assembly from different angles through the at least two cameras, and the at least one side is at least one of a non-tab side and a tab side of the battery cell assembly.
4. The method of claim 1, wherein detecting the state of the separator of the cell assembly according to the plurality of view images, and determining whether the cell assembly has a separator wrinkling defect, to obtain a detection result of the cell assembly, includes: performing image synthesis processing on the multiple view angle images to obtain a synthesized image of the battery cell assembly; performing edge detection on the synthesized image to obtain an edge binary image of the battery cell assembly; And detecting the diaphragm state of the battery cell assembly according to the edge binary image, and judging whether the battery cell assembly has a diaphragm wrinkling defect or not to obtain a detection result of the battery cell assembly.
5. The method of claim 4, wherein detecting the diaphragm state of the cell assembly according to the edge binary image, and determining whether the cell assembly has a diaphragm wrinkling defect, to obtain a detection result of the cell assembly, includes: Determining the edge length and the diaphragm layer number of the battery cell assembly according to the edge binary image; and when the edge length and the number of membrane layers meet preset good conditions, determining a detection result of the battery cell assembly according to the composite image and a preset detection model.
6. The method of claim 5, wherein the method further comprises: And when the edge length is greater than a length threshold and the number of membrane layers is greater than a layer number threshold, determining that the battery cell assembly meets the good product condition.
7. The method of claim 4, wherein the composite image comprises a tab side image and a non-tab side image, and wherein the performing edge detection on the composite image to obtain an edge binary image of the cell assembly comprises: Determining a tab region in the tab side image according to the pixel gray value difference value in the tab side image; cutting the tab side image according to the tab region to obtain a cut tab side image; And performing edge detection on the cut tab side image and the cut non-tab side image to obtain an edge binary image of the battery cell assembly.
8. The method according to claim 5 or 6, wherein the process of constructing the detection model comprises: controlling at least two cameras to photograph the battery cell assembly with the poor diaphragm, and obtaining a plurality of groups of images with the poor diaphragm; performing image synthesis processing on the images with the poor membrane groups to obtain a training data set; and training the initial deep learning model based on the training data set to obtain the detection model.
9. An apparatus for preparing a battery cell, the apparatus comprising a controller and a computer readable storage medium, the controller comprising a memory and a processor, the computer readable storage medium storing a computer program, the computer program in the computer readable storage medium, when executed by the processor of the controller, implementing the method of any one of claims 1 to 8, the apparatus further comprising: The winding shaping module is used for winding the positive pole piece, the negative pole piece and the isolating film to form a battery cell assembly, and prepressing and shaping the battery cell; The conveying module is used for conveying the shaped battery cell assembly to a visual detection station and positioning the battery cell assembly at the visual detection station; The acquisition module is used for acquiring a plurality of view images of the battery cell assembly; the detection module is used for detecting the diaphragm state of the battery cell assembly according to the plurality of view angle images and judging whether the battery cell assembly has a diaphragm wrinkling defect or not to obtain a detection result of the battery cell assembly; And the determining module is used for judging that the battery cell assembly is good when the detection result is that the diaphragm state of the battery cell assembly accords with the preset state, continuing to prepare the battery cell assembly along the preset good product circulation path, judging that the battery cell assembly is abnormal when the detection result is that the diaphragm state of the battery cell assembly does not accord with the preset state, and picking the battery cell assembly to the abnormal product processing path.
10. A battery cell is characterized in that, the battery monomer is prepared by adopting the preparation method of the battery monomer as claimed in any one of claims 1 to 8.

Description

Preparation method and device of battery monomer and battery monomer Technical Field The application relates to the technical field of battery cells, in particular to a preparation method and device of a battery cell and the battery cell. Background In a lithium battery, an isolating film plays a role in isolating an anode from a cathode, and the short circuit of a battery core caused by the contact of the anode and the cathode is avoided. After the winding machine completes the winding action of the battery cell, the battery cell is still in a fluffy state, and because factors such as diaphragm shaking caused by static electricity of an isolating film, wind disturbance in equipment, clamping jaw clamping and loosening of the battery cell, and influence of starting and stopping of a logistics line on the diaphragm of an inner ring of the battery cell can possibly cause the diaphragm to turn over inwards, positive and negative poles of the battery cell are in contact, so that potential safety hazards are brought to the use of the battery cell. Therefore, it is important to detect whether the isolating film is wrinkled or not in the preparation process of the battery cell. In the conventional technology, whether the isolating film is wrinkled is generally determined by a manual visual inspection or an insulation voltage withstand test (High Potential Test, hipot) detection method in the preparation process of the battery cell. However, the conventional cell preparation method has the problem of low detection accuracy of the wrinkling of the isolating film. Disclosure of Invention In view of the foregoing, it is desirable to provide a method and apparatus for manufacturing a battery cell, and a battery cell that can improve the accuracy of detecting separator wrinkling. In a first aspect, the present application provides a method for preparing a battery cell, comprising: winding the positive pole piece, the negative pole piece and the isolating film to form a battery cell assembly, and prepressing and shaping the battery cell assembly; conveying the shaped battery cell assembly to a visual detection station, and positioning the battery cell assembly at the visual detection station; Acquiring a plurality of view angle images of the battery cell assembly; detecting the diaphragm state of the battery cell assembly according to the multiple view angle images, and judging whether the battery cell assembly has a diaphragm wrinkling defect or not to obtain a detection result of the battery cell assembly; And if the detection result is that the diaphragm state of the battery cell assembly does not accord with the preset state, judging that the battery cell assembly is abnormal, and picking the battery cell assembly to an abnormal processing path. In one embodiment, the visual inspection station is provided with a photoelectric sensor and at least one positioning block, and the positioning the battery cell assembly at the visual inspection station comprises: The photoelectric sensor detects that the battery cell assembly reaches the visual detection station, generates a trigger signal and sends the trigger signal to the controller; the controller is responsive to the trigger signal to drive the at least one positioning block to define a position of the cell assembly. In one embodiment, the acquiring a plurality of view images of the cell assembly includes: The controller responds to the trigger signal, sends a photographing instruction to the at least two cameras, and acquires images of the end face of at least one side of the battery cell assembly from different angles through the at least two cameras, wherein the at least one side is at least one of a non-tab side and a tab side of the battery cell assembly. In one embodiment, the detecting the state of the diaphragm of the battery cell assembly according to the multiple view angle images, and determining whether the battery cell assembly has a diaphragm wrinkling defect, to obtain a detection result of the battery cell assembly, includes: performing image synthesis processing on the multiple view angle images to obtain a synthesized image of the battery cell assembly; performing edge detection on the synthesized image to obtain an edge binary image of the battery cell assembly; And detecting the diaphragm state of the battery cell assembly according to the edge binary image, and judging whether the battery cell assembly has a diaphragm wrinkling defect or not to obtain a detection result of the battery cell assembly. In one embodiment, the detecting the diaphragm state of the battery cell assembly according to the edge binary image, and determining whether the battery cell assembly has a diaphragm wrinkling defect, to obtain a detection result of the battery cell assembly, includes: Determining the edge length and the diaphragm layer number of the battery cell assembly according to the edge binary image; and when the edge length and the number of membrane layers mee