Battery blue-film coating system and battery blue-film coating detection method

Abstract

The present application belongs to the technical field of batteries. Provided are a battery blue-film coating system and a battery blue-film coating detection method. The system comprises: a battery cell, which comprises a battery cell body and a blue film, wherein the battery cell body comprises a top surface and a bottom support face; a mechanical gripper, which comprises a first gripper and a second gripper, the two grippers being respectively configured to clamp onto two opposite side faces of the battery cell body; a blue strip-shaped light source, which is arranged at a preset angle with the bottom support face, wherein a light source face of the blue strip-shaped light source faces the bottom support face; an image acquisition unit, which is a monochrome camera, is arranged opposite the bottom support face and is configured to acquire a detection image of the bottom support face; and an upper computer, which is configured to: extract, on the basis of a detection frame, a first region from the detection image; extract, on the basis of the first region, a second region from the region of the detection image that is defined by the detection frame to generate a third region; remove the third region from the region of the detection image that is defined by the detection frame to extract a defect detection region; and determine, on the basis of the defect detection region, detection determination parameters.

Description

Battery blue film coating system and battery blue film coating detection method

[0001] Cross-references

[0002] This application refers to Chinese Patent Application No. 202410326494.6 filed on March 21, 2024, entitled “Battery Blue Film Coating System and Detection Method for Battery Blue Film Coating”, which is incorporated into this application in its entirety by reference. Technical Field

[0003] The present application relates to the field of battery technology, and in particular to a battery blue film coating system and a battery blue film coating detection method. Background Art

[0004] There may be certain defects in the battery production process, and various detection methods are needed to detect the defects in order to improve the battery yield. In the battery manufacturing process, the bare cell needs to be placed in a hard shell (for example, a square aluminum shell) after it is manufactured. Because the shell material is relatively hard, the unprotected bare cell is at risk of being easily scratched. Therefore, before the bare cell is placed in the hard shell, it is necessary to use a blue film (i.e. Mylar film) with a softer material and better flexibility to wrap the bare cell as a layer of protection on the outside of the bare cell, so that when the cell is placed in the aluminum shell, there will be no short circuit between the bare cell and the shell due to scratches on the cell's isolation film. In the process of wrapping the blue film, due to equipment accuracy problems, the Mylar will lift up the isolation film inside the cell during the flipping process, causing the electrode inside the cell to leak out, creating quality and safety risks. Therefore, it is necessary to have the ability to detect defects in the cell after the cell is coated with blue film.

[0005] Summary of the Invention

[0006] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, one purpose of the present application is to provide a battery blue film coating system and a battery blue film coating detection method to improve the quality and safety of battery cells after blue film coating.

[0007] An embodiment of the first aspect of the present application provides a battery blue film coating system, comprising: a battery cell, the battery cell comprising: a battery cell body, the battery cell body comprising a top surface, a bottom support surface opposite to the top surface, and a first side surface, a second side surface, a third side surface and a fourth side surface sequentially connected between the top surface and the bottom support surface; and a blue film, the blue film is at least coated on the bottom support surface; a mechanical gripper, the mechanical gripper comprising a first gripper and a second gripper, the first gripper being used to clamp on the side where the second side surface is located, and the second gripper being used to clamp on the side where the fourth side surface is located; a bar light source, wherein the bar light source is arranged at a preset angle to the bottom support surface when the battery cell is in a detection position, and the light source surface of the bar light source faces the bottom support surface; an image acquisition unit, the image acquisition unit is arranged to be opposite to the bottom support surface when the battery cell is in the detection position, and is used to acquire a detection image of the bottom support surface; and a host computer, configured to determine a defect detection result of the bottom support surface based on the detection image acquired by the image acquisition unit, wherein the bar light source The light source is a blue strip light source, and the image acquisition unit is a black and white camera, and wherein the detection image includes a first area and a second area, the grayscale value of the first area is higher than the grayscale value of the second area, and the upper computer is further configured to: in response to the presence of a detection frame with a first preset size on the detection image, extract the first area from the detection image according to the detection frame, wherein the area of ​​the detection image defined by the detection frame includes the first area and the second area, the first area corresponds to the area where the defect of the bottom support surface is located, and the second area corresponds to the area of ​​the bottom support surface defined by the detection frame excluding the defect; based on the extracted first area, extract the second area from the area of ​​the detection image defined by the detection frame; based on the extracted second area, generate a third area with a second preset size; remove the third area from the area of ​​the detection image defined by the detection frame to extract the defect detection area; determine the detection judgment parameter based on the defect detection area; and determine the defect detection result of the bottom support surface based on the detection judgment parameter.

[0008] In the technical solution of the embodiment of the present application, by arranging the strip light source obliquely above the bottom support surface of the battery cell coated with the blue film and with the light source surface facing the bottom support surface, and at the same time the image acquisition unit is used to acquire the detection image of the bottom support surface, it is possible to acquire the image of the bottom support surface of the battery cell under the condition of light source irradiation (for example, high exposure), thereby improving the effectiveness of the detection image acquisition of the bottom support surface, helping the upper computer to detect defects on the bottom support surface of the battery cell (for example, drain sheet defects), improving the accuracy of bottom support surface defect detection, and further improving the battery yield and shipment volume.

[0009] The combination of the above-mentioned blue strip light source and black and white camera can achieve different imaging effects displayed by defects and blue film under high exposure conditions of the blue strip light source, so as to simply and effectively distinguish between blue film and drain plate defects in the detection image, thereby improving the accuracy of bottom support surface defect detection. For example, for the drain plate defect of the battery cell, since the plate itself is dark black, the blue strip light source will make the drain plate defect still appear black, but make the blue film appear white. Therefore, when the blue film is too long to cover the bottom support surface, it is possible to simply and effectively distinguish between the excessive blue film and the drain plate defect. The bottom support surface drain plate defect and the excessive blue film are compatible, so as to facilitate the detection of the drain plate defect on the bottom support surface, effectively improving the accuracy of defect detection.

[0010] In some embodiments, the first side surface is connected to the bottom support surface via a first edge, and the extension direction of the strip light source is consistent with the extension direction of the first edge. The above embodiment can facilitate the illumination of the entire bottom support surface by the light source, thereby improving the quality of the inspection image, facilitating the detection of defects on the bottom support surface of the battery cell, and improving the accuracy of bottom support surface defect detection.

[0011] In some embodiments, the strip light source is configured to rotate relative to the bottom support surface of the battery cell at the inspection position so that the light emitted by the strip light source can illuminate the bottom support surface. The above embodiment can facilitate the adjustment of the light source angle of the strip light source according to the position of the battery cell so that the entire bottom support surface is illuminated by the light source, thereby improving the quality of the inspection image, facilitating the detection of defects on the bottom support surface of the battery cell, and improving the accuracy of bottom support surface defect detection.

[0012] In some embodiments, the image acquisition unit is located below the bar-shaped light source and is horizontally aligned with the battery cell when the battery cell is in the detection position. The above embodiment can facilitate the effective acquisition of the detection image of the bottom support surface of the battery cell, thereby improving the quality of the detection image, facilitating the detection of defects on the bottom support surface of the battery cell, and improving the accuracy of bottom support surface defect detection.

[0013] In some embodiments, the image acquisition unit is configured to be movable relative to the battery cell to adjust the horizontal distance between the image acquisition unit and the bottom support surface. This embodiment facilitates adjusting the position of the image acquisition unit according to the position of the battery cell to effectively capture inspection images of the bottom support surface of the battery cell, thereby improving the quality of the inspection images, facilitating the detection of defects on the bottom support surface of the battery cell, and improving the accuracy of bottom support surface defect detection.

[0014] In some embodiments, the mechanical gripper is controlled by a slave computer, which is configured to: in response to the mechanical gripper moving the battery cell to a preset position relative to the image acquisition unit, stop the mechanical gripper; and send a trigger signal to the host computer, causing the host computer to control the bar light source to illuminate the bottom support surface of the battery cell and the image acquisition unit to capture a detection image of the bottom support surface of the battery cell. The above embodiment can control the mechanical gripper, bar light source, and image acquisition unit through the slave computer, thereby enabling defect detection on the bottom support surface of the battery cell after the battery cell is coated with blue film, thereby increasing the degree of automation of the defect detection process and improving production efficiency.

[0015] In some embodiments, the host computer is further configured to transmit the defect detection results to the slave computer, and the slave computer is configured to: in response to a pass defect detection result, cause the mechanical gripper to place the battery cell on the logistics line; and in response to a fail defect detection result, cause the mechanical gripper to place the battery cell in the defective battery cell slot. The above embodiment transmits the defect detection results to the slave computer, facilitating its control of the mechanical gripper's handling of the battery cell based on the defect detection results, thereby facilitating the automation of the defect detection process and improving production efficiency.

[0016] In some embodiments, the defect detection result includes a drain sheet defect. Since the drain sheet defect is a common defect after the battery cell is coated with a blue film, the above embodiment can improve the quality and safety of the battery cell after the battery cell is coated with a blue film.

[0017] According to an embodiment of the second aspect of the present application, a method for inspecting battery blue film coating is provided, characterized in that the inspection method is performed in a battery blue film coating system according to the present disclosure, and the inspection method includes: obtaining an inspection image of the bottom support surface of the battery cell by using an image acquisition unit; determining an inspection judgment parameter based on the inspection image; and determining a defect detection result of the bottom support surface of the battery cell according to the inspection judgment parameter.

[0018] The system in this embodiment captures an inspection image of the battery cell's bottom support surface, derives detection parameters based on the image, and determines the bottom support surface defect detection result based on these parameters. This improves the accuracy of bottom support surface defect detection, further increasing battery yield and shipment volume. Compared to traditional manual measurement methods, this embodiment reduces human intervention, not only increasing inspection speed and thus production efficiency, but also reducing the potential for human error.

[0019] In some embodiments, the bar light source is a blue bar light source, and the image acquisition unit is a black and white camera. The detection image includes a first area and a second area, the grayscale value of the first area is higher than the grayscale value of the second area, and determining the detection judgment parameter based on the detection image includes: in response to the presence of a detection frame of a first preset size on the detection image, extracting a first area from the detection image according to the detection frame, wherein the area of ​​the detection image defined by the detection frame includes the first area and the second area, the first area corresponding to the area of ​​the base surface where the defect is located, and the second area corresponding to the area of ​​the base surface defined by the detection frame excluding the defect; based on the extracted first area, extracting a second area from the area of ​​the detection image defined by the detection frame; based on the extracted second area, generating a third area of ​​a second preset size; removing the third area from the area of ​​the detection image defined by the detection frame to extract the defect detection area; and determining the detection judgment parameter based on the defect detection area. The above embodiment utilizes the different imaging effects displayed by the defect and the blue film under the high exposure condition of blue light under the blue bar light source, thereby effectively distinguishing the two, and effectively improving the accuracy of detection. In addition, by setting a detection frame of a first preset size, it is easy to effectively determine the area that needs to be detected in the detection image and narrow the detection range. Afterwards, in the area where the detection frame is located, a second area with a lower grayscale value (i.e., a bright area) is extracted through a first area with a higher grayscale value (i.e., a dark area, where the defect is located), and a third area of ​​a second preset size is generated in the second area. The third area is removed from the area where the detection frame is located. This can eliminate areas in the bright area that may interfere with defect detection (for example, the carbon powder interference area in the middle of the bottom support surface of the battery cell) so as to further effectively determine the area that needs to be detected, i.e., the area where the defect is located. In this way, the misjudgment of defects can be reduced and the efficiency and accuracy of defect detection can be improved.

[0020] In some embodiments, based on the extracted first region, extracting the second region from the region defined by the detection frame of the detection image includes: expanding the second region in a predetermined direction to obtain an expanded first region, wherein the predetermined direction is perpendicular to the first side surface of the battery cell; and removing the expanded first region from the region defined by the detection frame of the detection image to extract the second region. By dilating the first region, the above embodiment can simply and effectively extract the second region (i.e., the bright region) with a lower grayscale value within the region where the detection frame is located.

[0021] In some embodiments, a toner image exists within the second area of ​​the detection image, and the second preset size is determined based on the range of the toner image within the second area. The above embodiment can exclude areas in the bright area that may interfere with defect detection, so as to further effectively determine the area to be inspected.

[0022] In some embodiments, determining the detection judgment parameter based on the defect detection area includes: extracting abnormal pixels whose grayscale values ​​are within a grayscale threshold range of a drain chip defect from the defect detection area to form an abnormal pixel area, wherein the detection judgment parameter includes the area of ​​the abnormal pixel area; and determining that a drain chip defect exists on the bottom support surface of the battery cell in response to the area of ​​the abnormal pixel area being greater than a preset area threshold. By comparing the area of ​​the abnormal pixel area with the preset area threshold to determine the drain chip defect, the above embodiment can more accurately determine whether the bottom support surface has a drain chip defect.

[0023] In some embodiments, using an image acquisition unit to acquire an inspection image of the bottom support surface of a battery cell includes: causing a bar-shaped light source of the battery blue film coating system to emit light to illuminate the bottom support surface of the battery cell; and causing the image acquisition unit to acquire an inspection image of the bottom support surface of the battery cell. The above embodiment facilitates efficient acquisition of inspection images of the bottom support surface of the battery cell, thereby improving the quality of the inspection images, facilitating defect detection of the bottom support surface of the battery cell, and improving the accuracy of bottom support surface defect detection.

[0024] In some embodiments, causing the bar light source of the battery blue film coating system to emit light to illuminate the bottom support surface of the battery cell includes: in response to the bottom support surface being located at a detection position, rotating the bar light source relative to the bottom support surface so that the entire bottom support surface is illuminated by the bar light source; and causing the bar light source to emit light toward the bottom support surface. The above embodiment facilitates adjusting the light source angle of the bar light source according to the position of the battery cell so that the entire bottom support surface is illuminated by the light source, thereby improving the quality of the detection image, facilitating the detection of defects on the bottom support surface of the battery cell, and improving the accuracy of bottom support surface defect detection.

[0025] In some embodiments, causing an image acquisition unit to capture an inspection image of the bottom support surface of a battery cell includes: in response to the bottom support surface being located at a detection position, causing the image acquisition unit to move relative to the battery cell to adjust the horizontal distance between the image acquisition unit and the bottom support surface; and causing the image acquisition unit to photograph the bottom support surface of the battery cell to obtain an inspection image of the bottom support surface. This embodiment facilitates adjusting the position of the image acquisition unit according to the position of the battery cell to effectively capture an inspection image of the bottom support surface of the battery cell, thereby improving the quality of the inspection image, facilitating defect detection of the bottom support surface of the battery cell, and improving the accuracy of bottom support surface defect detection.

[0026] In some embodiments, the mechanical gripper is controlled by a lower computer, and the inspection method further includes: using the lower computer to move the mechanical gripper of the battery blue film coating system to a detection position while gripping the battery cell. This embodiment enables inspection of the bottom support surface of the battery cell immediately after the battery cell is coated with blue film, thereby increasing the automation level of the defect detection process and improving production efficiency.

[0027] In some embodiments, causing the mechanical gripper of the battery blue film coating system to move the battery cell to the inspection position via the lower computer includes: causing the mechanical gripper of the battery blue film coating system to grip the battery cell and drive the battery cell to move via the lower computer; and, in response to the battery cell being in the inspection position, causing the mechanical gripper to stop moving via the lower computer. This embodiment enables inspection of the bottom support surface of the battery cell immediately after the battery cell is coated with blue film, thereby increasing the automation level of the defect detection process and improving production efficiency.

[0028] In some embodiments, causing the bar-shaped light source of the battery blue film coating system to emit light to illuminate the bottom support surface of the battery cell includes: in response to the battery cell being in the detection position, causing the bar-shaped light source of the battery blue film coating system to emit light to illuminate the bottom support surface of the battery cell. This embodiment can realize that the bar-shaped light source is only turned on when the battery cell is in the detection position, thereby saving energy, and facilitating the efficient acquisition of detection images of the bottom support surface of the battery cell, thereby improving the quality of the detection image, facilitating the detection of defects on the bottom support surface of the battery cell, and improving the accuracy of bottom support surface defect detection.

[0029] In some embodiments, the mechanical gripper is controlled by a slave computer, and the detection method further includes: causing the master computer to transmit the defect detection result to the slave computer, so that the slave computer executes: in response to a pass defect detection result, causing the mechanical gripper to place the battery cell on a logistics line; and in response to a fail defect detection result, causing the mechanical gripper to place the battery cell in a defective battery cell slot. The above embodiment transmits the defect detection result to the slave computer, facilitating the control of the mechanical gripper's handling of the battery cell based on the defect detection result, thereby facilitating the automation of the defect detection process and improving production efficiency.

[0030] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the multiple drawings represent the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings only depict some embodiments disclosed in the present application and should not be regarded as limiting the scope of the present application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on the drawings without paying creative work.

[0032] FIG1 is a schematic diagram of a battery blue film coating system according to some embodiments of the present application, wherein a mechanical clamp is not shown;

[0033] FIG2 is a schematic diagram of the battery blue film coating system from another angle in FIG1 , showing a mechanical gripper;

[0034] FIG3 is a schematic diagram of determining defect detection results based on a detection image in some embodiments of the present application;

[0035] FIG4 is a flow chart of a method for detecting battery blue film coating according to some embodiments of the present application;

[0036] FIG. 5 is a flowchart of the steps of determining the detection judgment parameters based on the detection image in FIG. 4 .

[0037] Explanation of the accompanying drawings: Battery blue film coating system 1; battery cell 10; battery cell body 18; strip light source 20; image acquisition unit 30; mechanical gripper 40; first side 11; second side 12; third side 13; fourth side 14; top surface 15; bottom support surface 16; first edge 17; light source surface 21; first gripper 41; second gripper 42; detection image 160; drain sheet defect 161; toner image 1611; first area 162; second area 163; detection frame 164; enlarged first area 1621; third area 165; defect detection area 166. DETAILED DESCRIPTION

[0038] The following embodiments of the technical solution of the present application will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application and are therefore only examples and are not intended to limit the scope of protection of the present application.

[0039] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions.

[0040] In the description of the embodiments of this application, the technical terms "first" and "second" are used only to distinguish different objects and should not be understood to indicate or imply relative importance or implicitly specify the quantity, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "plurality" is more than two, unless otherwise clearly and specifically defined.

[0041] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0042] In the description of the embodiments of this application, the term "and / or" is simply a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0043] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0044] In the description of the embodiments of the present application, the technical terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply 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 a limitation on the embodiments of the present application.

[0045] In the description of the embodiments of the present application, unless otherwise expressly specified or limited, technical terms such as "installed," "connected," "connected," and "fixed" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integration; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; internal connections between two components or interactions between two components. Those skilled in the art can understand the specific meanings of the above terms in the embodiments of the present application based on specific circumstances.

[0046] In a heating unit device that wraps a blue film (e.g., Mylar), a bare cell is placed on a turntable station. The blue film is wrapped around the cell according to a set action while being gripped by a clamp. The blue film is then hot-melted to one side of the cell's top cover bracket at high temperature, causing the blue film to stick to the top cover bracket, thus wrapping the bare cell. However, during the blue film wrapping process, due to equipment accuracy issues, when the blue film wraps the cell and flips the cell, the isolation film inside the cell is also lifted up, causing the electrode inside the cell to leak out, creating a quality and safety hazard. In related technologies, a 2D black and white camera (e.g., a CCD industrial camera) is typically used for image capture, with white and red strip lights used for ambient lighting. Drain plate defects are detected under low red exposure conditions. However, the bare cell surface is wrapped with blue film. When the process changes or the equipment is unstable, the blue film will cover the position of the cell's drain plate. In the above detection method, the grayscale values ​​of the blue film and the drain plate defects are almost the same, and the blue film will eventually be mistakenly identified as a drain plate defect. Therefore, the aforementioned inspection method cannot distinguish between blue film and drain sheet defects, and is incapable of inspecting and repairing drain sheet defects on the bottom support surface. Furthermore, the related art typically involves inspection of Mylar stand-up packaging equipment and is not applicable to Mylar stand-down packaging equipment, presenting limitations. Furthermore, it does not address inspection of potential drain sheet defects on the bottom support surface, posing a quality risk.

[0047] To this end, an embodiment of the present application provides a blue film coating system for battery cells that is suitable for flat devices and can detect defects on the bottom support surface. By arranging a strip light source obliquely above the bottom support surface of the battery cell coated with the blue film and with the light source facing the bottom support surface, and at the same time an image acquisition unit is used to capture the detection image of the bottom support surface, it is possible to capture the image of the bottom support surface of the battery cell under light source illumination (for example, high exposure), thereby improving the effectiveness of the detection image acquisition of the bottom support surface, helping the host computer to detect defects on the bottom support surface of the battery cell (for example, drain sheet defects), improving the accuracy of bottom support surface defect detection, and further improving the yield rate and shipment volume of the battery.

[0048] FIG1 is a schematic diagram of a battery blue film coating system 1 according to some embodiments of the present application, wherein the mechanical gripper 40 is not shown; FIG2 is a schematic diagram of a battery blue film coating system from another angle in FIG1 , wherein the mechanical gripper 40 is shown.

[0049] As shown in Figures 1 and 2, the battery blue film coating system 1 includes a battery cell 10, and the battery cell 10 includes: a battery cell body 18, the battery cell body 18 includes a top surface 15, a bottom supporting surface 16 opposite to the top surface 15, and a first side surface 11, a second side surface 12, a third side surface 13 and a fourth side surface 14 sequentially connected between the top surface 15 and the bottom supporting surface 16; and a blue film, the blue film is at least coated on the bottom supporting surface 16; a mechanical gripper 40, the mechanical gripper 40 includes a first gripper 41 and a second gripper 42, the first gripper 41 is used to clamp on the side where the second side surface 12 is located, and the second gripper The clamp 42 is used to clamp on the side where the fourth side surface 14 is located; the strip light source 20, which is arranged at a preset angle to the bottom support surface 16 when the battery cell 10 is located in the detection position, and the light source surface 21 of the strip light source 20 faces the bottom support surface 16; the image acquisition unit 30, which is arranged to be opposite to the bottom support surface 16 when the battery cell 10 is located in the detection position, and is used to capture a detection image 160 of the bottom support surface 16; and a host computer, which is configured to determine a defect detection result of the bottom support surface 16 based on the detection image 160 captured by the image acquisition unit 30.

[0050] The top surface 15 is the upper surface of the battery cell 10 when it is normally placed, that is, the surface where the electrodes of the battery cell 10 are located, and the bottom supporting surface 16 refers to the surface opposite to the top surface 15 and is in contact with the placement surface when the battery cell 10 is normally placed.

[0051] When the battery cell 10 is a rectangular parallelepiped or a cube, the battery cell body 18 includes: a top surface 15, a bottom supporting surface 16 opposite to the top surface 15, and a first side surface 11, a second side surface 12, a third side surface 13 and a fourth side surface 14 connected in sequence between the top surface 15 and the bottom supporting surface 16.

[0052] To reduce the risk of scratching the separator of the cell 10 when the cell 10 is placed in the aluminum shell, a blue film (e.g., a blue film) is coated on the surface of the bare cell 10. The blue film may, for example, cover at least one of the first side surface 11, the second side surface 12, the third side surface 13, and the fourth side surface 14. If the blue film is too long, it may also cover at least a portion of the base surface 16, for example, covering the drain sheet defect 161 on the base surface 16.

[0053] As shown in Figure 2, the mechanical gripper 40 is respectively clamped on the second side surface 12 and the fourth side surface 14 so that the bottom support surface 16 can be exposed. The mechanical gripper is used to clamp the battery cell during the movement and detection process of the battery cell, and can be controlled by a lower computer used to control the underlying production equipment. After the battery cell 10 is coated with the blue film, it moves to the detection position (i.e., the preset position relative to the bar light source 20 and / or the image acquisition unit 30) under the clamping of the mechanical gripper 40. At this time, the program inside the lower computer controls the mechanical gripper 40 to stop moving, and at the same time sends a trigger signal to the visual detection software in the upper computer, so that the bar light source 20 emits light to illuminate the bottom support surface 16 and the image acquisition unit 30 takes a picture.

[0054] The bar light source 20 can be red, blue, or similar. To distinguish blue film defects from drain sheet defects in the inspection image 160, the bar light source can be configured as a blue light source to produce a high exposure of the blue color. As shown in FIG1 , the bar light source can be positioned diagonally above the base support surface 16 and at a distance from the battery cell 10 to illuminate the base support surface 16.

[0055] The specific type of image acquisition unit 30 is not limited. For example, a CCD industrial camera or a CMOS industrial camera can be used. Another example is a line array camera or an area array camera. The image acquisition unit 30 can be a color camera or a black and white camera.

[0056] The image acquisition unit 30 may be arranged to be opposite to the base surface 16 (for example, directly opposite as shown in FIG. 1 , or opposite to the base surface at a certain angle) so as to acquire a detection image of the base surface 16 .

[0057] Visual inspection software may be installed in the host computer to determine the defect detection result of the bottom support surface 16 based on the inspection image captured by the image acquisition unit 30 .

[0058] By arranging the strip light source obliquely above the bottom support surface 16 of the battery cell 10 after being coated with the blue film and with the light source surface 21 facing the bottom support surface 16, and at the same time the image acquisition unit 30 is used to acquire the detection image 160 of the bottom support surface 16, it is possible to acquire the image of the bottom support surface 16 of the battery cell 10 under the condition of light source irradiation (for example, high exposure), thereby improving the effectiveness of acquiring the detection image 160 of the bottom support surface 16, helping the upper computer to detect defects (for example, drain sheet defects) on the bottom support surface 16 of the battery cell 10, improving the accuracy of the bottom support surface 16 defect detection, and further improving the battery yield and shipment volume.

[0059] According to some embodiments of the present application, as shown in FIG. 1 , the first side surface 11 and the base surface 16 are connected via a first edge 17 , and an extension direction L of the bar light source 20 is consistent with an extension direction of the first edge 17 .

[0060] As shown in FIG. 1 , the extending direction L of the bar light source 20 is consistent with the extending direction of the first edge 17 , that is, the bar light source 20 is parallel to the first edge 17 and is located obliquely above the base surface 16 .

[0061] The above embodiment can facilitate the entire bottom support surface 16 to be illuminated by the light source, so as to improve the quality of the detection image 160, help to detect defects on the bottom support surface 16 of the battery cell 10, and improve the accuracy of bottom support surface 16 defect detection.

[0062] According to some embodiments of the present application, the bar light source 20 is a blue bar light source, and the image acquisition unit 30 is a black and white camera.

[0063] The use of a black and white camera can facilitate the detection of defects on the bottom support surface 16 through grayscale values, thereby increasing the processing efficiency of the host computer.

[0064] For example, in the case of a drain plate defect in cell 10, since the plate itself is dark black, high-exposure illumination with a blue stripe light source causes the drain plate defect to still appear black, but causes the blue film to appear white. Therefore, in inspection image 160, the excessively long blue film and the drain plate defect can be distinguished, as the grayscale values ​​of the two under high blue exposure are significantly different. This allows for effective differentiation between the blue film and drain plate defects, even with a black and white camera.

[0065] The combination of the above-mentioned blue strip light source and the black and white camera can realize the different imaging effects displayed by the defects and the blue film under the high exposure conditions of the blue strip light source, so as to simply and effectively distinguish the blue film and drain sheet defects in the detection image 160, thereby improving the accuracy of the defect detection of the bottom support surface 16.

[0066] According to some embodiments of the present application, the bar light source 20 is configured to be rotatable relative to the base surface of the battery cell located at the detection position, so that the light emitted by the bar light source 20 can illuminate the base surface 16 .

[0067] That is, the light source angle of the strip light source 20 can be adjusted, for example, to a rotation angle of less than or equal to about 30 degrees, so that the strip light source 20 can adjust the light source angle according to the actual parking position of the battery cell 10 so that the light it emits can illuminate the bottom support surface 16. The strip light source can rotate relative to the bottom support surface of the battery cell located in the detection position, and the rotation axis around which it rotates is set, for example, to be consistent with the extension direction L of the strip light source (or to other directions or other positions). After the light source angle of the strip light source 20 is adjusted, the image acquisition unit is used to capture a detection image of the bottom support surface to obtain a good quality image.

[0068] The above embodiment can facilitate the adjustment of the light source angle of the strip light source according to the position of the battery cell 10, so that the entire bottom support surface 16 can be illuminated by the light source, thereby improving the quality of the detection image, helping to detect defects on the bottom support surface 16 of the battery cell 10, and improving the accuracy of defect detection on the bottom support surface 16.

[0069] According to some embodiments of the present application, as shown in FIG. 1 , the image acquisition unit 30 is located below the bar light source 20 , and is aligned with the battery cell 10 in the horizontal direction H when the battery cell 10 is located at the detection position.

[0070] The image acquisition unit 30 is located directly below the bar light source 20 , or obliquely below (as shown in FIG. 1 ), etc.

[0071] The image acquisition unit 30 is aligned with the battery cell 10, i.e., is positioned in the horizontal direction of the battery cell 10 and faces the bottom support surface 16. This ensures that the bottom support surface 16 in the captured inspection image 160 is not deformed, facilitating subsequent defect detection using the inspection image 160.

[0072] The above embodiment can facilitate the effective collection of the detection image 160 of the bottom supporting surface 16 of the battery cell 10, thereby improving the quality of the detection image, helping to detect defects on the bottom supporting surface 16 of the battery cell 10, and improving the accuracy of the bottom supporting surface 16 defect detection.

[0073] According to some embodiments of the present application, the image acquisition unit 30 is configured to be movable relative to the battery cell 10 to adjust the horizontal distance d between the image acquisition unit 30 and the bottom supporting surface 16 .

[0074] For example, the image acquisition unit 30 can move in a horizontal direction (or in a direction at a certain angle to the horizontal direction) to adjust the horizontal distance d between it and the base surface 16. In some examples, the horizontal distance d can be set according to the optimal working distance of the lens of the image acquisition unit 30, or can be set to the optimal working distance of the lens.

[0075] The above embodiment can facilitate the adjustment of the position of the image acquisition unit 30 according to the position of the battery cell 10, so as to effectively capture the detection image of the bottom supporting surface 16 of the battery cell 10, thereby improving the quality of the detection image, helping to realize the detection of defects on the bottom supporting surface 16 of the battery cell 10, and improving the accuracy of the bottom supporting surface 16 defect detection.

[0076] According to some embodiments of the present application, the mechanical gripper 40 is controlled by a lower computer, and the lower computer is configured to: stop the movement of the mechanical gripper 40 in response to the mechanical gripper 40 clamping the battery cell 10 and moving to a preset position relative to the image acquisition unit 30; and send a trigger signal to the upper computer so that the upper computer controls the strip light source 20 to illuminate the bottom support surface 16 of the battery cell 10 and the image acquisition unit 30 to capture a detection image of the bottom support surface 16 of the battery cell 10.

[0077] The slave computer is connected to the host computer and is used to control the underlying production equipment, such as the mechanical gripper and the host computer in the battery blue film coating system. The battery blue film coating system 1 is electrically connected to the slave computer, and the battery blue film coating system 1 can communicate with the slave computer in real time.

[0078] In some embodiments, after the battery cell 10 is coated with the blue film, it is gripped by the mechanical gripper 40 and moved to the inspection position, i.e., a preset position relative to the bar light source 20 and / or the image acquisition unit 30. At this point, the program within the slave computer controls the mechanical gripper 40 to stop moving and simultaneously sends a trigger signal to the visual inspection software in the master computer, causing the software to control the bar light source 20 to illuminate the bottom support surface 16 and control the image acquisition unit 30 to take a picture.

[0079] In some embodiments, the mechanical gripper may be a manipulator of an automatic loading and unloading device, which may grip the battery cell 10 for movement and detection in response to instructions from a lower computer.

[0080] The above embodiment can control the mechanical gripper 40, the strip light source 20 and the image acquisition unit 30 through the lower computer, so that the bottom support surface 16 of the battery cell 10 can be inspected for defects after the battery cell 10 is coated with the blue film, thereby improving the degree of automation of the defect detection process and improving production efficiency.

[0081] According to some embodiments of the present application, the upper computer is also configured to send the defect detection result to the lower computer, and the lower computer is configured to: in response to the defect detection result being passed, enable the mechanical gripper 40 to place the battery cell 10 into the logistics line; and in response to the defect detection result being failed, enable the mechanical gripper 40 to place the battery cell 10 into the defective battery cell slot.

[0082] After the upper computer determines the defect detection result based on the detection image, it sends the defect detection result to the lower computer. The lower computer determines whether to put the battery cell back into the logistics line for continued circulation (if the defect detection result is passed) or place it in the defective battery cell slot for recycling (if the defect detection result is failed) based on the defect detection result.

[0083] The above embodiment sends the defect detection result to the lower computer, so that it can control the processing of the battery cell 10 by the mechanical gripper 40 according to the defect detection result, which is beneficial to the automation of the defect detection process and improves production efficiency.

[0084] According to some embodiments of the present application, the defect detection result includes a drain wafer defect.

[0085] That is, the host computer can determine whether there is a drain sheet defect 161 on the bottom supporting surface 16 of the battery cell 10 based on the image of the bottom supporting surface 16 captured by the image capturing unit 30 .

[0086] Since the drain sheet defect is a common defect after the battery cell 10 is coated with the blue film, the above embodiment can improve the quality and safety of the battery cell 10 after the battery cell 10 is coated with the blue film.

[0087] FIG4 is a flow chart of a method 400 for detecting blue film coating of a battery according to some embodiments of the present application.

[0088] The battery blue film coating inspection method 400 is performed in the battery blue film coating system 1 according to the present disclosure, and, as shown in Figures 1 to 4, the inspection method 400 includes: step S410, using the image acquisition unit 30 to obtain a detection image 160 of the bottom supporting surface 16 of the battery cell 10; step S420, determining the detection judgment parameter based on the detection image 160; and step S430, determining the defect detection result of the bottom supporting surface 16 of the battery cell 10 according to the detection judgment parameter.

[0089] The above method can be executed at the host computer of the battery blue film coating system 1.

[0090] The detection judgment parameters may include the grayscale value on the detection image 160, or the area of ​​pixels on the detection image 160 with grayscale values ​​that meet the conditions (for example, grayscale parameters that meet the drain sheet defect, the grayscale of the drain sheet area is between 70-110), etc.

[0091] For example, the host computer determines the detection judgment parameters based on the detection image 160 collected by the image acquisition unit 30, and the detection judgment parameters include the area of ​​pixels with grayscale values ​​that meet the conditions on the detection image 160. Then, the host computer determines the defect detection result based on the above-mentioned detection judgment parameters. For example, the area of ​​pixels with grayscale values ​​that meet the conditions is compared with an area threshold parameter (for example, set to 20 pixels, or greater than 20 pixels), and the defect detection result is determined based on the result of the comparison (for example, whether it is greater than the area threshold parameter, etc.). In other words, it is determined whether there is an area that meets the defect detection specifications. If so, it indicates that there is a defect. If not, it indicates that there is no defect.

[0092] The system in the above embodiment captures an inspection image 160 of the bottom support surface 16 of the battery cell 10, obtains detection judgment parameters based on the inspection image 160, and determines a defect detection result for the bottom support surface 16 based on these parameters. This improves the accuracy of bottom support surface 16 defect detection, further increasing battery yield and shipment volume. Compared to traditional manual measurement methods, the above embodiment reduces human intervention, not only increasing inspection speed and thus production efficiency, but also reducing the possibility of human error.

[0093] According to some embodiments of the present application, the bar light source 20 is a blue bar light source, and the image acquisition unit 30 is a black and white camera. The detection image 160 includes a first area 162 and a second area 163. The grayscale value of the first area 162 is higher than the grayscale value of the second area 163. As shown in Figures 3 and 5, step S420, determining the detection judgment parameter based on the detection image 160, includes: step S421, in response to the presence of a detection frame 164 with a first preset size on the detection image 160, extracting the first area 162 from the detection image 160 according to the detection frame 164, wherein the detection image 160 has a grayscale value of 162. The area defined by the detection frame 164 includes a first area 162 and a second area 163; step S422, based on the extracted first area 162, extract the second area 163 from the area defined by the detection frame 164 of the detection image 160; step S423, based on the extracted second area 163, generate a third area 165 with a second preset size; step S424, remove the third area 165 from the area defined by the detection frame 164 of the detection image 160 to extract the defect detection area 166; and step S425, determine the detection judgment parameters based on the defect detection area 166.

[0094] In some embodiments, a detection frame 164 of a first preset size can be marked in the inspection image 160, for example, manually or automatically by a computer, to frame the dark area (i.e., the area where the defect is located) and the light area. The detection frame 164 can be rectangular, circular, etc. If the detection frame 164 is rectangular, the length of the detection frame 164 can be greater than the length of the defect, and the width can be equal to the width of the base surface 16.

[0095] In some embodiments, as shown in FIG. 3 , in step S421 , the first region 162 may be extracted from the detection image 160 from the detection frame 164 based on a grayscale difference between the first region 162 and the second region 163 .

[0096] In some embodiments, as shown in FIG. 3 , in step S422 , a difference process may be performed between the region of the detection image 160 defined by the detection frame 164 and the extracted first region 162 to extract the second region 163 .

[0097] In some embodiments, as shown in FIG3 , in step S423 , the extracted second region 163 may be cropped to generate a third region 165 having a second predetermined size (i.e., the central interference region of the bright region including the toner image 1611). If the third region 165 is rectangular, the length of the third region 165 may be equal to the length of the detection frame 164 , and the width of the third region 165 may be set empirically to cover the area where the toner image 1611 is located. The lower edge of the third region 165 may coincide with the lower edge of the detection frame 164 .

[0098] In some embodiments, as shown in FIG. 3 , in step S424 , a difference process may be performed between the area of ​​the inspection image 160 defined by the inspection frame 164 and the third area 165 to extract the defect inspection area 166 .

[0099] In some embodiments, in step S425 , a dark area with certain morphological and grayscale characteristics may be detected within the defect detection area 166 , that is, grayscale binarization may be performed, so as to obtain detection judgment parameters.

[0100] The above embodiment utilizes the different imaging effects displayed by defects and blue films under high exposure conditions of blue light under a blue strip light source, thereby being able to truly and effectively distinguish between the two and effectively improve the accuracy of detection. In addition, by setting a detection frame 164 of a first preset size, it is convenient to effectively determine the area to be detected in the detection image 160 and narrow the detection range. Afterwards, in the area where the detection frame 164 is located, a second area 163 (i.e., a bright area) with a lower grayscale value is extracted from the first area 162 (i.e., a dark area, where the defect is located) with a higher grayscale value, and a third area 165 of a second preset size is generated in the second area 163. The third area 165 is removed from the area where the detection frame 164 is located. This can eliminate areas in the bright area that may interfere with defect detection (for example, the carbon powder interference area in the middle of the bottom support surface 16 of the battery cell 10) so as to further effectively determine the area to be detected, i.e., the area where the defect is located. In this way, the misjudgment of defects can be reduced and the efficiency and accuracy of defect detection can be improved.

[0101] According to some embodiments of the present application, step S422, based on the extracted first area 162, extracting the second area 163 from the area defined by the detection frame 164 of the detection image 160 includes: expanding the second area 163 in a preset direction to obtain an expanded first area 1621, wherein the preset direction is perpendicular to the first side surface 11 of the battery cell 10; and removing the expanded first area 1621 from the area defined by the detection frame 164 of the detection image 160 to extract the second area 163.

[0102] In some embodiments, as shown in FIG3 , the defect may not be continuous. By performing an expansion (i.e., expansion) process in a direction perpendicular to the first side surface 11 of the battery cell 10 (i.e., vertically), the discontinuous area can be filled to obtain an expanded first area 1621, so as to facilitate the subsequent extraction of the second area 163 based thereon.

[0103] In the above embodiment, by performing the dilation process on the first region 162 , the second region 163 (ie, the bright region) having a lower grayscale value can be simply and effectively extracted from the region where the detection frame 164 is located.

[0104] According to some embodiments of the present application, a toner image 1611 is detected within the second area of ​​the detection image 160 , and the second preset size is determined according to the range of the toner image 1611 within the second area 163 .

[0105] In some embodiments, the toner image 1611 in the bright area of ​​the detection image 160 is allowed to exist (that is, small particles of toner scattered on the bottom support surface of the battery cell are allowed), so in order to exclude the area where the toner image 1611 in the bright area is located, a third area 165 of a second preset size is generated in the second area 163.

[0106] The above embodiment can exclude areas in the bright area that may interfere with defect detection, so as to further effectively determine the area that needs to be inspected.

[0107] According to some embodiments of the present application, step S425, the step of determining the detection judgment parameters based on the defect detection area 166 includes: extracting abnormal pixels whose grayscale values ​​are within the grayscale threshold range of the drain sheet defect from the defect detection area 166 to form an abnormal pixel area, wherein the detection judgment parameters include the area of ​​the abnormal pixel area; and in response to the area of ​​the abnormal pixel area being greater than a preset area threshold, determining that there is a drain sheet defect on the bottom supporting surface 16 of the battery cell 10.

[0108] In some embodiments, the grayscale threshold range of the drain plate defect may be, for example, between 70 and 110. The preset area threshold may be, for example, 20 pixels or greater.

[0109] The above steps can determine whether there is an area that meets the drain sheet defect detection specifications. If so, it means there is a defect; if not, it means there is no defect.

[0110] The above embodiment can more accurately judge whether the base surface 16 has a drain sheet defect by comparing the area of ​​the abnormal pixel region with a preset area threshold to determine the drain sheet defect.

[0111] The technical solution of this application is further illustrated below through some specific embodiments.

[0112] As shown in Figures 1 to 5, the battery blue film coating system 1 includes: a battery cell 10, the battery cell 10 includes: a battery cell body 18, the battery cell body 18 includes a top surface 15, a bottom supporting surface 16 opposite to the top surface 15, and a first side surface 11, a second side surface 12, a third side surface 13 and a fourth side surface 14 sequentially connected between the top surface 15 and the bottom supporting surface 16; and a blue film, the blue film is at least coated on the bottom supporting surface 16; a mechanical gripper 40, the mechanical gripper 40 includes a first gripper 41 and a second gripper 42, the first gripper 41 is used to clamp the second gripper 41. On the side where the side surface 12 is located, and the second gripper 42 is used to clamp on the side where the fourth side surface 14 is located; a strip light source 20, the strip light source 20 is arranged obliquely above the bottom support surface 16, and the light source surface 21 of the strip light source 20 faces the bottom support surface 16; an image acquisition unit 30, the image acquisition unit 30 is arranged opposite to the bottom support surface 16, and is used to acquire a detection image 160 of the bottom support surface 16; and a host computer, configured to determine a defect detection result of the bottom support surface 16 according to the detection image 160 acquired by the image acquisition unit 30.

[0113] First side surface 11 and bottom support surface 16 are connected by first edge 17, and the extension direction of strip light source 20 is consistent with the extension direction of first edge 17. Strip light source 20 is a blue strip light source, and image acquisition unit 30 is a black and white camera. Image acquisition unit 30 is horizontally aligned with battery cell 10.

[0114] The mechanical gripper 40, the bar light source, and the image acquisition unit 30 are controlled by a lower computer. The lower computer is configured to: in response to the mechanical gripper 40 gripping the battery cell 10 and moving to a preset position relative to the image acquisition unit 30, stop the mechanical gripper 40; illuminate the bottom support surface 16 of the battery cell 10 with the bar light source; and capture an inspection image 160 of the bottom support surface 16 of the battery cell 10 by the image acquisition unit 30. The upper computer is also configured to transmit defect detection results to the lower computer. The lower computer is also configured to: in response to a defect detection result of passing, cause the mechanical gripper 40 to place the battery cell 10 on the logistics line; and in response to a defect detection result of failing, cause the mechanical gripper 40 to place the battery cell 10 in the defective cell slot.

[0115] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and they should all be included in the scope of the claims and specification of the present application. In particular, as long as there is no structural conflict, the various technical features mentioned in the various embodiments can be combined in any way. The present application is not limited to the specific embodiments disclosed herein, but includes all technical solutions that fall within the scope of the claims.

Claims

1. A battery blue film coating system, comprising: A battery cell, comprising: A battery cell body, the battery cell body comprising a top surface, a bottom supporting surface opposite to the top surface, and a first side surface, a second side surface, a third side surface, and a fourth side surface sequentially connected between the top surface and the bottom supporting surface; and A blue film, the blue film at least covering the bottom support surface; a mechanical gripper, the mechanical gripper comprising a first gripper and a second gripper, the first gripper being used to grip on the side where the second side is located, and the second gripper being used to grip on the side where the fourth side is located; A bar-shaped light source, wherein the bar-shaped light source is arranged at a preset angle to the bottom supporting surface when the battery cell is located at the detection position, and the light source surface of the bar-shaped light source faces the bottom supporting surface; an image acquisition unit, arranged to be opposite to the bottom support surface when the battery cell is located at the detection position, and configured to acquire a detection image of the bottom support surface; and The host computer is configured to determine the defect detection result of the bottom support surface according to the detection image collected by the image acquisition unit, Wherein, the bar light source is a blue bar light source, and the image acquisition unit is a black and white camera, and The detection image includes a first area and a second area, the grayscale value of the first area is higher than the grayscale value of the second area, and the host computer is further configured to: In response to a detection frame having a first preset size being present on the detection image, extracting the first area from the detection image according to the detection frame, wherein the area of ​​the detection image defined by the detection frame includes the first area and the second area, the first area corresponds to an area of ​​the base surface where the defect is located, and the second area corresponds to an area of ​​the base surface defined by the detection frame excluding the defect; extracting the second area from an area defined by the detection frame in the detection image based on the extracted first area; generating a third area having a second preset size based on the extracted second area; removing the third area from the area of ​​the inspection image defined by the detection frame to extract a defect detection area; determining a detection decision parameter based on the defect detection area; and The defect detection result of the bottom support surface is determined based on the detection judgment parameter.

2. The system according to claim 1, wherein: The first side surface is connected to the base surface via a first edge, and an extending direction of the bar-shaped light source is consistent with an extending direction of the first edge.

3. The system according to claim 1 or 2, wherein: The bar-shaped light source is configured to be rotatable relative to the bottom supporting surface of the battery cell located at the detection position, so that the light emitted by the bar-shaped light source can illuminate the bottom supporting surface.

4. The system according to any one of claims 1 to 3, wherein: The image acquisition unit is located below the bar-shaped light source and is aligned with the battery cell in a horizontal direction when the battery cell is located at the detection position.

5. The system according to claim 4, wherein: The image acquisition unit is configured to be movable relative to the battery cell to adjust the horizontal distance between the image acquisition unit and the bottom supporting surface.

6. The system according to any one of claims 1 to 5, wherein: The mechanical gripper is controlled by the lower computer. The lower computer is configured as follows: In response to the mechanical gripper clamping the battery cell and moving to a preset position relative to the image acquisition unit, stopping the mechanical gripper from moving; A trigger signal is sent to the host computer, so that the host computer controls the strip light source to illuminate the bottom supporting surface of the battery cell and the image acquisition unit to acquire a detection image of the bottom supporting surface of the battery cell.

7. The system according to claim 6, wherein: The host computer is further configured to send the defect detection result to the slave computer, and The lower computer is configured as follows: In response to the defect detection result being passed, causing the mechanical gripper to place the battery cell onto a logistics line; and In response to the defect detection result being a failure, the mechanical gripper is enabled to place the battery cell into the defective battery cell slot.

8. The system according to any one of claims 1 to 5, wherein: The defect detection result includes a drain sheet defect.

9. A method for detecting battery blue film coating, the method being performed in a battery blue film coating system according to any one of claims 1 to 8, and comprising: Acquiring a detection image of the bottom supporting surface of the battery cell using the image acquisition unit; enabling the host computer to determine detection judgment parameters based on the detection image; as well as Determine a defect detection result of the bottom supporting surface of the battery cell according to the detection judgment parameter.

10. The detection method according to claim 9, wherein The bar light source is a blue bar light source, and the image acquisition unit is a black and white camera. The detection image includes a first area and a second area, the grayscale value of the first area is higher than the grayscale value of the second area, and determining the detection judgment parameter based on the detection image includes: In response to a detection frame having a first preset size being present on the detection image, extracting the first area from the detection image according to the detection frame, wherein the area of ​​the detection image defined by the detection frame includes the first area and the second area, the first area corresponds to an area of ​​the base surface where the defect is located, and the second area corresponds to an area of ​​the base surface defined by the detection frame excluding the defect; extracting the second area from an area defined by the detection frame in the detection image based on the extracted first area; generating a third area having a second preset size based on the extracted second area; removing the third area from the area of ​​the inspection image defined by the inspection frame to extract a defect detection area; and The detection determination parameter is determined based on the defect detection area.

11. The detection method according to claim 9 or 10, wherein The extracting the second area from the area defined by the detection frame of the detection image based on the extracted first area includes: performing an enlargement process on the second region in a preset direction to obtain an enlarged first region, wherein the preset direction is perpendicular to the first side surface of the battery cell; and The expanded first region is removed from the region of the detection image defined by the detection frame to extract the second region.

12. The detection method according to claim 9 or 10, wherein A toner image exists in a second area of ​​the detection image, and the second preset size is determined according to a range of the toner image existing in the second area.

13. The detection method according to any one of claims 9 to 12, wherein Determining the detection judgment parameter based on the defect detection area includes: Extracting abnormal pixels whose grayscale values ​​are within the grayscale threshold range of the drain sheet defect from the defect detection area to form an abnormal pixel area, wherein the detection judgment parameter includes the area of ​​the abnormal pixel area; and In response to the area of ​​the abnormal pixel region being greater than a preset area threshold, it is determined that a drain plate defect exists on the bottom supporting surface of the battery cell.

14. The detection method according to any one of claims 9 to 12, wherein Acquiring a detection image of the bottom support surface of the battery cell using the image acquisition unit includes: causing the bar-shaped light source of the battery blue film coating system to emit light to illuminate the bottom supporting surface of the battery cell; and The image acquisition unit is enabled to acquire a detection image of the bottom supporting surface of the battery cell.

15. The detection method according to any one of claims 14, wherein The step of causing the bar-shaped light source of the battery blue film coating system to emit light to illuminate the bottom support surface of the battery cell comprises: In response to the base surface being located at the detection position, rotating the bar light source relative to the base surface so that the entire base surface can be illuminated by the bar light source; and The strip-shaped light source is made to emit light toward the base surface.

16. The detection method according to claim 14 or 15, wherein Enabling the image acquisition unit to acquire a detection image of the bottom supporting surface of the battery cell includes: In response to the bottom supporting surface being located at the detection position, moving the image acquisition unit relative to the battery cell to adjust the horizontal distance between the image acquisition unit and the bottom supporting surface; and The image acquisition unit is enabled to photograph the bottom supporting surface of the battery cell to obtain a detection image of the bottom supporting surface.

17. The detection method according to any one of claims 14 to 16, wherein The mechanical gripper is controlled by a lower computer, and the detection method further comprises: The lower computer is used to enable the mechanical clamp of the battery blue film coating system to clamp the battery core and move it to the detection position.

18. The detection method according to claim 17, wherein: The following steps are included: Using the lower computer, the mechanical clamp of the battery blue film coating system clamps the battery cell and drives the battery cell to move; and In response to the battery cell being in the detection position, the mechanical gripper is stopped from moving by the lower computer.

19. The detection method according to claim 17 or 18, wherein The step of causing the bar-shaped light source of the battery blue film coating system to emit light to illuminate the bottom support surface of the battery cell comprises: In response to the battery cell being in the detection position, the bar-shaped light source of the battery blue film covering system emits light to illuminate the bottom supporting surface of the battery cell.

20. The detection method according to any one of claims 9 to 19, wherein The mechanical gripper is controlled by a lower computer, and the detection method further comprises: The host computer sends the defect detection result to the slave computer, so that the slave computer executes: In response to the defect detection result being passed, causing the mechanical gripper to place the battery cell onto a logistics line; and In response to the defect detection result being a failure, the mechanical gripper is enabled to place the battery cell into the defective battery cell slot.

Images