A battery string detection method

Abstract

The present invention provides a battery string detection method, wherein the battery string is formed by at least two battery cells connected in series through a welding strip, and the battery string detection method comprises: a control system, wherein the control system comprises a camera device and an image processing system; wherein the camera device comprises a light source located below the battery cell and a camera located above the battery cell; wherein the image processing system processes the photos taken by the camera, and compares the processed photos with the standard patterns pre-stored in the image processing system, thereby determining whether the battery cell and the welding strip meet the preset standards. The present invention realizes the automatic detection of missing items of battery cells and welding strips according to the principle of image recognition by setting up an image processing system and a camera device, thereby improving the detection accuracy, ensuring the quality of the product, and reducing the production cost and improving the production efficiency.

Description

Technical Field

[0001] The present invention relates to battery string detection, and in particular to a battery string detection method. Background Art

[0002] The detection of defects related to battery strings is generally carried out by setting up a separate workstation on the assembly line for manual quality inspection. The means of detection are usually to use naked eye observation and some simple tools for measurement. There are many possible defects in battery strings, such as the length, quantity, angle of the welding strip, the damage of the battery cell, the feeding direction of the battery cell, etc. These are important factors affecting product quality. Quality inspection through manual methods is inefficient on the one hand, and the missed detection rate is high on the other hand, which cannot guarantee the stability of product quality. Therefore, it is necessary to improve the defects of the existing technology. Summary of the invention

[0003] The present invention aims to solve at least one of the problems mentioned in the above background technology.

[0004] The present invention provides a battery string detection method, wherein the battery string is formed by connecting at least two battery cells in series through a welding ribbon, and the battery string detection method comprises:

[0005] A control system, the control system comprising a camera device and an image processing system;

[0006] Wherein, the camera device comprises a light source located below the battery cell and a camera located above the battery cell;

[0007] The image processing system processes the photos taken by the camera and compares the processed photos with standard patterns pre-stored in the image processing system to determine whether the battery cell and the solder strip meet the preset standards.

[0008] In a specific embodiment, the image processing system divides a working area on the processed photo and forms a rectangular caliper line in the working area. The caliper line scans along the cross-section of the battery cell and generates a cross-sectional graphic of the battery cell. The image processing system compares the cross-sectional graphic with a standard graphic to determine whether the battery cell is damaged.

[0009] In a specific embodiment, the image processing system generates a chamfer detection frame on the processed photo, forms a rectangular caliper line in the chamfer detection frame, and makes the caliper line located at the theoretical missing corner of the battery cell. The image processing system calculates the area of ​​the missing corner based on the pixel value, and compares it with the standard value to determine whether the incoming direction of the battery cell is consistent with the preset incoming direction.

[0010] In a specific embodiment, the image processing system divides a working area on the processed photo, forms a rectangular caliper line in the working area, and scans the starting point and end point of the welding strip. The image processing system calculates the difference between the end point and the starting point to obtain the length of the welding strip, and compares it with the standard length to determine whether the length of the welding strip meets the preset standard.

[0011] In a specific embodiment, the image processing system divides a working area on the processed photo, forms a rectangular caliper line in the same direction as the extension direction of the welding strip in the working area, and measures the angle of the caliper line to determine whether the welding strip angle meets the preset standard.

[0012] In a specific embodiment, the image processing system divides a working area on the processed photo and forms a rectangular caliper line in the working area. The image processing system counts the solder strips scanned by the caliper line and compares the total number of solder strips scanned with the standard number to determine whether the number of solder strips meets the preset standard.

[0013] Beneficial effects:

[0014] 1. The present invention realizes automatic detection of battery cell damage and battery cell incoming direction according to the principle of image recognition by setting up an image processing system and a camera device, thereby improving the detection accuracy, ensuring the quality of the product, reducing the production cost and improving the production efficiency.

[0015] 2. The present invention realizes automatic detection of the number, angle and length of welding strips according to the principle of image recognition by setting up an image processing system and a camera device, thereby improving the detection accuracy, ensuring the quality of the product, reducing the production cost and improving the production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a schematic diagram of damage detection of a battery cell in a battery string detection method of this embodiment;

[0017] Figure 2 is a schematic diagram of chamfer detection of a battery cell in a battery string detection method of this embodiment;

[0018] Figure 3 It is a schematic diagram of detecting the length and quantity of welding strips in a battery string detection method of this embodiment;

[0019] Figure 4 It is a schematic diagram of angle detection of welding strips in a battery string detection method of this embodiment.

[0020] Figure numerals: 1. battery cell; 2. working area; 3. caliper line; 4. welding strip; 5. chamfer detection frame. DETAILED DESCRIPTION

[0021] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0022] In the description of the present invention, it should be understood that the terms "center", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "counterclockwise", "clockwise", "axial", "radial", "circumferential" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0023] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection, it can be a direct connection, it can be an indirect connection through an intermediate medium, and it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0024] Example:

[0025] See also Figure 1-Figure 4 In the present embodiment, a battery string detection method is provided, wherein the battery string is formed by connecting at least two battery cells 1 in series through a welding ribbon 4, and the battery string detection method includes a control system, wherein the control system includes a camera device and an image processing system; wherein the camera device includes a light source located below the battery cell 1 and a camera located above the battery cell 1; wherein the image processing system processes the photos taken by the camera, and compares the processed photos with the standard patterns pre-stored in the image processing system, thereby determining whether the battery cell 1 and the welding ribbon 4 meet the preset standards.

[0026] It should be noted that after the camera takes a photo, the image processing system mainly processes the image to set the detection object and background, see Figure 1-Figure 4 It can be seen that the black area in the figure represents the battery cell 1, and the white part is the area formed after the light source is turned on. Its shape is consistent with the shape of the light source. In this embodiment, the light source is required to cover the area to be detected, and the black strip represents the welding strip 4. The purpose of processing the photo is to obtain more easily distinguishable pixels and improve the accuracy of image detection.

[0027] See also Figure 1 The image processing system divides a working area 2 on the processed photo, forms a rectangular caliper line 3 in the working area 2, and scans along the cross section of the battery cell 1 to generate a cross-sectional diagram of the battery cell 1. The image processing system compares the cross-sectional diagram with a standard diagram to determine whether the battery cell 1 is damaged.

[0028] The division of the working area 2 is to improve the efficiency of image processing. Only the area to be detected is processed and analyzed, and it is not necessary to process and analyze the entire image.

[0029] In addition, the caliper line 3 defines the area for single image processing. The caliper line 3 processes all positions within the working area 2 through multiple scans. The size of the area defined by the caliper line 3 is related to efficiency and accuracy. In the actual detection process, it can be set according to actual conditions, and the present invention does not limit this.

[0030] It needs to be explained that when the battery cell 1 is damaged, there are two situations, one is that a crack appears in the battery cell 1, and the other is that a defect appears in the battery cell 1. In the first situation, due to the damage of the battery cell 1, the light will pass through the crack of the damage, and a white line will be produced on the photograph. According to this picture state, it can be judged that a crack appears in the battery cell 1; in the second situation, due to the defect of the battery cell 1, the position of the defect is also light-transmissive, and the shape of the defect will be projected on the photograph. At this time, it can be judged whether the battery cell 1 is partially missing according to the shape of the battery cell 1 in the photograph.

[0031] See also Figure 2 The image processing system generates a chamfer detection frame 5 on the processed photo, forms a rectangular caliper line 3 in the chamfer detection frame 5, and makes the caliper line 3 located at the theoretical missing corner of the battery cell 1. The image processing system calculates the area of ​​the missing corner according to the pixel value, and compares it with the standard value to determine whether the incoming direction of the battery cell 1 is consistent with the preset incoming direction.

[0032] See also Figure 3The image processing system divides a working area 2 on the processed photo, forms a rectangular caliper line 3 in the working area 2, and scans the starting point and end point of the welding strip 4. The image processing system calculates the difference between the end point and the starting point to obtain the length of the welding strip 4, and compares it with the standard length to determine whether the length of the welding strip 4 meets the preset standard.

[0033] See also Figure 4 The image processing system divides a working area 2 on the processed photo, forms a rectangular caliper line 3 in the working area 2 in the same direction as the extension of the welding strip 4, and measures the angle of the caliper line 3 to determine whether the angle of the welding strip 4 meets the preset standard.

[0034] See also Figure 3 The image processing system divides a working area 2 on the processed photo, forms a rectangular caliper line 3 in the working area 2, counts the soldering strips 4 scanned by the caliper line 3, and compares the total number of soldering strips 4 scanned with the standard number to determine whether the number of soldering strips 4 meets the preset standard.

[0035] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A battery string detection method, characterized in that: The battery string is formed by connecting at least two battery cells in series through a welding ribbon, and the battery string detection method includes: A control system, the control system comprising a camera device and an image processing system; Wherein, the camera device comprises a light source located below the battery cell and a camera located above the battery cell; The image processing system processes the photos taken by the camera and compares the processed photos with the standard patterns pre-stored in the image processing system, thereby determining whether the battery cell and the solder strip meet the preset standards; The image processing system divides a working area on the processed photo, forms a rectangular caliper line in the working area, scans along the cross section of the battery cell and generates a cross-sectional graph of the battery cell, and the image processing system compares the cross-sectional graph with a standard graph to determine whether the battery cell is damaged; The image processing system generates a chamfer detection frame on the processed photo, forms a rectangular caliper line in the chamfer detection frame, and makes the caliper line located at the theoretical missing corner of the battery cell. The image processing system calculates the area of ​​the missing corner according to the pixel value, and compares it with the standard value to determine whether the incoming direction of the battery cell is consistent with the preset incoming direction. The image processing system divides a working area on the processed photo, forms a rectangular caliper line in the working area, and scans the starting point and the end point of the welding strip. The image processing system calculates the difference between the end point and the starting point to obtain the length of the welding strip, and compares it with the standard length to determine whether the length of the welding strip meets the preset standard; The image processing system divides a working area on the processed photo, forms a rectangular caliper line in the same direction as the extension of the welding strip in the working area, and measures the angle of the caliper line to determine whether the welding strip angle meets the preset standard; Among them, the image processing system divides a working area on the processed photo and forms a rectangular caliper line in the working area. The image processing system counts the solder strips scanned by the caliper line and compares the total number of solder strips scanned with the standard number to determine whether the number of solder strips meets the preset standard.

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