Cell Detection System and Cell Detection Method

Abstract

The present application relates to a battery cell detection system and a battery cell detection method. The system includes an image acquisition module and a processor. The image acquisition module is configured to obtain a first battery cell image and a second battery cell image of a stacked battery cell after hot pressing. The first battery cell image is used for the positioning of the electrode plates, and the second battery cell image is used for the reconstruction of the electrode plates. The processor is configured to identify the positions of the anode plate and the cathode plate according to the first battery cell image, and obtain the flatness parameter of the stacked battery cell according to the positions of the anode plate, the cathode plate and the second battery cell image, and confirm whether there are defects in the stacked battery cell according to the flatness parameter. By using this system, it is possible to simultaneously detect the Overhang value between the anode plate and the cathode plate of the stacked battery cell and the surface inclination of the stacked battery cell, effectively improving the accuracy of defect detection of the stacked battery cell and avoiding the phenomena of missed detection and false killing.

Description

Technical Field

[0001] The present application relates to the technical field of battery production, and particularly to a battery cell detection system and a battery cell detection method. Background Art

[0002] The quality of battery electrodes is one of the important factors affecting battery performance. Therefore, in the battery production process, it is necessary to detect the quality of electrodes during the lamination process.

[0003] However, in traditional technologies, during the lamination process of electrodes, the method for detecting the quality of electrodes is to obtain the coordinates of the electrodes by an indirect method to solve the Overhang value. This results in a low error tolerance rate and low accuracy of the detection results in traditional technologies. Summary of the Invention

[0004] In view of the above problems, the present application provides a battery cell detection system and a battery cell detection method, which can solve the problems of low accuracy and easy omission and false killing in detecting the Overhang value of laminated battery cells using the indirect method in traditional technologies.

[0005] In a first aspect, the present application provides a battery cell detection system, which includes: an image acquisition module and a processor. Among them, the image acquisition module is used to obtain a first battery cell image and a second battery cell image of the laminated battery cell; among them, the first battery cell image is used for the positioning of the electrode, and the second battery cell image is used for the reconstruction of the electrode; the processor is used to identify the positions of the anode and the cathode according to the first battery cell image, and obtain the flatness parameter of the laminated battery cell according to the positions of the anode, the cathode and the second battery cell image, and confirm whether there are defects in the laminated battery cell according to the flatness parameter.

[0006] In the technical solution of the embodiment of the present application, the battery cell detection system uses a direct method to detect the Overhang values of the anode and the cathode, effectively improving the accuracy of detecting defects in the laminated battery cell and avoiding the phenomena of omission and false killing.

[0007] In some embodiments, the image acquisition module acquires the first battery cell image and the second battery cell image of each surface of the laminated battery cell along the direction towards each surface of the laminated battery cell.

[0008] In the technical solution of the embodiment of the present application, by the first battery cell image and the second battery cell image towards each surface of the laminated battery cell, it is ensured that the subsequent positioning and reconstruction of the anode and the cathode are accurate, and the accurate detection of the flatness parameter of the laminated battery cell is ensured.

[0009] In some embodiments, the image acquisition module includes two, and the two image acquisition modules are respectively located on both sides of the stacked battery cell; the processor is further configured to synchronously identify the positions of the anode sheets and the cathode sheets on each surface of the stacked battery cell according to the first battery cell images of each surface of the stacked battery cell respectively acquired by the two image acquisition modules.

[0010] In the technical solution of the embodiment of the present application, two image acquisition modules are used simultaneously to acquire images of the two surfaces of the stacked battery, further improving the detection efficiency.

[0011] In some embodiments, the system further includes a detection module, configured to generate a battery cell position signal and send it to the processor when it detects that the stacked battery cell is at a preset detection position; the processor is configured to generate an image acquisition instruction based on the identification code of the stacked battery cell and send it to the image acquisition module when receiving the battery cell position signal; the image acquisition module is configured to acquire a first battery cell image and a second battery cell image of the stacked battery cell after hot pressing when receiving the image acquisition instruction.

[0012] In the technical solution of the embodiment of the present application, through the cooperation of the detection module and the processor, automatic defect detection of the stacked battery cell is realized, further improving the detection efficiency.

[0013] In some embodiments, each surface of the battery cell includes a plurality of anode sheets and cathode sheets arranged alternately side by side, and the flatness parameter includes the height difference between adjacent anode sheets and cathode sheets; the processor is configured to obtain the positions of each anode sheet and each cathode sheet of the stacked battery cell according to the first battery cell image, and obtain the contour images of each anode sheet and each cathode sheet of the stacked battery cell according to the positions of each anode sheet, each cathode sheet and the second battery cell image, obtain the height difference between adjacent anode sheets and cathode sheets according to the positions of each anode sheet, each cathode sheet, the contour images of each anode sheet and the contour images of each cathode sheet, and confirm whether there are defects in the stacked battery cell according to the height difference.

[0014] In the technical solution of the embodiment of the present application, by directly measuring the heights of the anode sheets and the cathode sheets and calculating the difference between the heights of the anode sheets and the cathode sheets, the error tolerance rate brought by the method of calculating the anode sheet coordinates is effectively avoided, and at the same time, the accuracy of the detection result is improved.

[0015] In some embodiments, the processor is further configured to perform segmentation processing on the first battery cell image for the anode sheet and / or the cathode sheet to obtain the positions of the anode sheet and the cathode sheet.

[0016] In the technical solution of the embodiment of the present application, by directly performing segmentation processing on the anode sheet and / or the cathode sheet to obtain the position of the anode sheet or the position of the cathode sheet, the accuracy of the flatness parameter calculation can be ensured.

[0017] In some embodiments, the flatness parameter further includes the inclination of each surface of the stacked battery cell; the processor is further configured to obtain the inclination according to the position of each anode sheet and the contour image of each anode sheet within each surface of the stacked battery cell, and confirm whether there is a defect in the stacked battery cell according to the inclination; and / or, the processor is further configured to obtain the inclination according to the position of each cathode sheet and the contour image of each cathode sheet within each surface of the stacked battery cell, and confirm whether there is a defect in the stacked battery cell according to the inclination.

[0018] In the technical solution of the embodiment of the present application, the detection system can simultaneously measure the height difference flatness parameter and the inclination flatness parameter, so that the detection system has good generalization ability.

[0019] In some embodiments, the system further includes a waste discharging module, and the processor is configured to generate a waste discharging instruction and send it to the waste discharging module when there is a defect in the stacked battery cell; the waste discharging module is configured to remove the stacked battery cell based on the waste discharging instruction.

[0020] In the technical solution of the embodiment of the present application, through the cooperation of the waste discharging module and the processor, the defective stacked battery cells can be automatically discharged, further improving the detection efficiency.

[0021] In some embodiments, the system further includes an adhesive pasting module, and the processor is configured to generate an adhesive pasting instruction and send it to the adhesive pasting module when there is no defect in the stacked battery cell; the adhesive pasting module is configured to paste the adhesive on the stacked battery cell based on the adhesive pasting instruction.

[0022] In the technical solution of the embodiment of the present application, through the cooperation of the adhesive pasting module and the processor, the defective stacked battery cells can be automatically discharged, further improving the detection efficiency and avoiding affecting the production line rhythm.

[0023] In a second aspect, the present application further provides a method for detecting a battery cell, which includes: acquiring a first battery cell image and a second battery cell image of the stacked battery cell, wherein the first battery cell image and the second battery cell image are acquired from the same surface of the stacked battery cell; identifying the first battery cell image to obtain the positions of the anode sheets and the cathode sheets of the stacked battery cell; obtaining the flatness parameter of the stacked battery cell according to the positions of the anode sheets, the cathode sheets and the second battery cell image; and confirming whether there is a defect in the stacked battery cell according to the flatness parameter.

[0024] In the technical solution of the embodiment of the present application, by directly calculating the height difference between adjacent anode sheets and cathode sheets, the detection of the Overhang value is realized, effectively improving the accuracy of the defect detection of the stacked battery cell and avoiding the phenomena of missed detection and false killing.

[0025] In some embodiments, the recognition of the first cell image to obtain the positions of the anode sheet and the cathode sheet of the stacked cell includes: obtaining the positions of the anode sheet and the cathode sheet according to the difference in the gray values of the anode sheet and the cathode sheet in the first cell image.

[0026] In the technical solution of the embodiment of the present application, the detection of the anode sheet and the cathode sheet by using the difference in gray values can improve the accuracy of the detection result.

[0027] In some embodiments, the recognition of the first cell image to obtain the positions of the anode sheet and the cathode sheet of the stacked cell includes: performing segmentation processing on the first cell image to obtain the positions of the anode sheet and the cathode sheet.

[0028] In the technical solution of the embodiment of the present application, by using a pre-trained segmentation algorithm to perform segmentation processing on the gray-scale images of the cathode sheet and the anode sheet, the accuracy of the measurement result can be further improved.

[0029] In some embodiments, each surface of the cell includes a plurality of anode sheets and cathode sheets arranged alternately side by side. The above-mentioned segmentation processing of the first cell image to obtain the positions of the anode sheet and the cathode sheet includes: performing segmentation processing on the anode sheets in the first cell image to obtain the positions of the anode sheets; obtaining the positions of the cathode sheets according to the positions of two spaced anode sheets; or, performing segmentation processing on the cathode sheets in the first cell image to obtain the positions of the cathode sheets; obtaining the positions of the anode sheets according to the positions of two spaced cathode sheets; or, performing segmentation processing on the anode sheets and the cathode sheets in the first cell image to obtain the positions of the anode sheet and the cathode sheet.

[0030] In the technical solution of the embodiment of the present application, by providing different detection schemes, the cell detection method can be adapted to the detection of different types and models of stacked cells.

[0031] In some embodiments, each surface of the cell includes a plurality of anode sheets and cathode sheets arranged alternately side by side. The flatness parameter includes the height difference between adjacent anode sheets and cathode sheets. The above-mentioned obtaining of the flatness parameter of the stacked cell according to the positions of the anode sheet, the cathode sheet, and the second cell image includes: obtaining the reconstructed image of the anode sheet and the reconstructed image of the cathode sheet of the stacked cell according to the second cell image; obtaining the contour image of the anode sheet and the contour image of the cathode sheet according to the positions of the anode sheet, the cathode sheet, the reconstructed image of the anode sheet, and the reconstructed image of the cathode sheet; obtaining the height difference between adjacent anode sheets and cathode sheets according to the positions of the anode sheet, the cathode sheet, the contour image of the anode sheet, and the contour image of the cathode sheet.

[0032] In the technical solution of the embodiment of the present application, since each anode sheet contour diagram and each cathode sheet contour diagram have connectivity along the direction perpendicular to the staggered arrangement direction of the anode sheet and the cathode sheet, the detection result is more accurate than the result obtained by the indirect method which only calculates the difference based on the relative four vertices of the anode sheet and the cathode sheet.

[0033] In some embodiments, obtaining the height difference between adjacent anode sheets and cathode sheets according to the anode sheet position, the cathode sheet position, the anode sheet contour diagram, and the cathode sheet contour image includes: obtaining the pole piece waveform diagram of the stacked cell according to the anode sheet position, the cathode sheet position, the anode sheet contour diagram, and the cathode sheet contour image; wherein, each peak in the pole piece waveform diagram is used to represent the height of the anode sheet or the height of the cathode sheet; obtaining the height difference according to the absolute value of the height difference between adjacent anode sheet peaks and cathode sheet peaks in the pole piece peak diagram.

[0034] In the technical solution of the embodiment of the present application, by obtaining the waveform diagram of the contour diagram representing the entire stacked cell along the staggered arrangement direction of its anode sheet and cathode sheet, it is convenient to calculate the height difference between all adjacent anode sheets and cathode sheets.

[0035] In some embodiments, determining whether there is a defect in the stacked cell according to the flatness parameter includes: when the height difference is less than or equal to the preset threshold, determining that there is no defect in the stacked cell; or, when the height difference is greater than the preset threshold, determining that there is a defect in the stacked cell.

[0036] In the technical solution of the embodiment of the present application, the detection algorithm implements the Overhang value detection, which is a detection scheme using the direct method, effectively ensuring the accuracy of the detection result.

[0037] In some embodiments, the flatness parameter further includes the inclination of each surface of the stacked cell, and the horizontal axis of the pole piece waveform diagram represents the surface of the stacked cell; the above-mentioned obtaining the flatness parameter of the stacked cell according to the anode sheet position, the cathode sheet position, and the second cell image further includes: obtaining the anode sheet peak line according to the connection line of each anode sheet corresponding peak in the pole piece waveform diagram; obtaining the inclination according to the anode sheet peak line and the horizontal axis of the pole piece waveform diagram; and / or, obtaining the cathode sheet peak line according to the connection line of each cathode sheet corresponding peak in the pole piece waveform diagram; obtaining the inclination according to the cathode sheet peak line and the horizontal axis of the pole piece waveform diagram.

[0038] In the technical solution of the embodiment of the present application, by reusing the waveform diagram of the contour diagram of the entire stacked cell and fitting the peaks, the method for detecting the inclination is further simplified, and the detection efficiency is improved.

[0039] In some embodiments, confirming whether there is a defect in the stacked battery cell according to the flatness parameter further includes: when the inclination is less than or equal to a preset threshold, confirming that there is no defect in the stacked battery cell; or, when the inclination is greater than the preset threshold, confirming that there is a defect in the stacked battery cell.

[0040] In the technical solution of the embodiment of the present application, on the basis of implementing the detection of the Overhang value, the detection algorithm can also implement the detection of the inclination of the stacked battery cell. During use, there is no need to separately arrange a detection algorithm for the inclination of the stacked battery cell, which improves the defect detection efficiency of the stacked battery cell.

[0041] In some embodiments, the above method further includes: obtaining the identification code of the stacked battery cell; according to the identification code of the stacked battery cell, confirming the pose parameters of the image acquisition module used to acquire the first battery cell image and the second battery cell image of the stacked battery cell, and confirming the defect detection algorithm corresponding to the stacked battery cell in a preset defect detection algorithm library; wherein, the defect detection algorithm is used to detect whether there is a defect in the stacked battery cell.

[0042] In the technical solution of the embodiment of the present application, the battery cell detection system automatically confirms the corresponding defect detection algorithm according to the battery model information, which can improve the adaptability of the system to the detection of different models of battery cells and further increase the generalization ability of the system.

[0043] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the description. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the specific embodiments of the present application are specifically given below. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] By reading the detailed description of the preferred embodiments below, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present application. And in all the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0045] Figure 1 is a schematic structural diagram of a battery cell detection system in an embodiment of the present application;

[0046] Figure 2 is a schematic structural diagram of a stacked battery cell in an embodiment of the present application;

[0047] Figure 3a is a schematic diagram of the detection result of a stacked battery cell in an embodiment of the present application;

[0048] Figure 3b is a schematic diagram of the detection result of a stacked battery cell in an embodiment of the present application;

[0049] Figure 4 It is a schematic flow chart of the battery cell detection method in an embodiment of the present application;

[0050] Figure 5a It is a schematic flow chart of identifying the positions of the anode plate and the cathode plate in an embodiment of the present application;

[0051] Figure 5b It is a schematic flow chart of identifying the positions of the anode plate and the cathode plate in an embodiment of the present application;

[0052] Figure 5c It is a schematic flow chart of identifying the positions of the anode plate and the cathode plate in an embodiment of the present application;

[0053] Figure 6 It is a schematic flow chart of calculating the height difference between adjacent anode plates and cathode plates in an embodiment of the present application;

[0054] Figure 7 It is a schematic flow chart of calculating the height difference between adjacent anode plates and cathode plates in an embodiment of the present application;

[0055] Figure 8a It is a schematic flow chart of calculating the inclination of each surface of the stacked battery cell in an embodiment of the present application;

[0056] Figure 8b It is a schematic flow chart of calculating the inclination of each surface of the stacked battery cell in an embodiment of the present application;

[0057] Figure 9 It is a schematic flow chart of confirming the defect detection algorithm in an embodiment of the present application. Detailed implementation manners

[0058] Next, embodiments of the technical solutions 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 solutions of the present application, so they are only examples and cannot be used to limit the protection scope of the present application.

[0059] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field 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 term "including" and any deformation thereof in the specification and claims of this application and the above drawings are intended to cover non-exclusive inclusion.

[0060] In the description of the embodiments of the present application, technical terms such as "first" and "second" are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity, specific order or primary-secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "a plurality" is more than two, unless otherwise specifically defined.

[0061] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the present application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0062] Lithium-ion batteries (or simply referred to as lithium batteries) have been widely used in various electrical products due to their advantages such as high energy density, long cycle life, and no memory effect. For example, the electrical products can be, but are not limited to, mobile phones, tablets, laptop computers, electric toys, power tools, battery cars, electric vehicles, ships, spacecraft, and so on.

[0063] The production process of lithium-ion batteries includes winding process, stacking process, etc. Among them, the stacked batteries manufactured by the stacking process have the characteristics of high discharge rate, low internal resistance, high capacity density, and high energy density compared with the wound batteries manufactured by the winding process, making the stacked batteries gradually become the mainstream power batteries.

[0064] In the stacking process, it is necessary to detect the Overhang value of the stacked battery cores manufactured by the stacking process. Overhang refers to the part that extends beyond the positive and negative electrode sheets in the length and width directions of the negative electrode sheet. During the stacking process of the stacked battery core, if the electrode sheet does not fold along the crease of the anode sheet, it usually causes the Overhang value of the non-composite surface to exceed the preset threshold; in addition, during the stacking process of the stacked battery core, the stacked battery core usually makes a swinging movement, which usually also causes the position of the stack to be easily displaced, and usually also causes the Overhang value of the non-composite surface to exceed the preset threshold.

[0065] Normally, each layer of the cathode sheet of the stacked battery core is disconnected, which makes it difficult to control and detect the Overhang value of the stacked battery core. In addition, it is more difficult to detect the Overhang value between the cathode sheet and its upper anode sheet after stacking. During the stacking process, if the anode sheet does not stack along the crease or the electrode sheet is wrinkled during the stacking process, it will cause the defect that the Overhang value of the non-composite surface of the stacked battery core exceeds the specification.

[0066] In the traditional technology, the detection method for laminated battery cells is as follows: during the lamination process of the electrode sheets, four cameras are used to respectively capture the images of the four top corners of the electrode sheet. Two cameras on one side of the electrode sheet (i.e., on the same long side) are triggered simultaneously, and the cathode sheet coordinates (X 11 ,Y 11 ) and (X 12 ,Y 12 ) of each top corner of the electrode sheet corresponding to these two cameras are obtained. By combining the width of the electrode sheet, the coordinates (X 13 ,Y 13 ) and (X 14 ,Y 14 ) of the other two top corners of the cathode sheet are deduced. Then, by combining the Overhang value of the non-composite surface of the laminated battery cell, the coordinates (X 21 ,Y 21 ), (X 22 ,Y 22 ), (X 23 ,Y 23 ) and (X 24 ,Y 24 ) of the four top corners of the anode sheet are deduced. The difference operation is performed on the coordinates of the opposite top corners of the anode sheet and the cathode sheet respectively, and the absolute value of the difference is the required Overhang value.

[0067] It can be seen that the above coordinates of the top corners of the anode sheet are not directly measured, but are deduced based on the coordinates of the cathode sheet and the Overhang value of the non-composite surface. Therefore, the above measurement method is an indirect measurement method. This results in a lower error tolerance of the detection result and is prone to the phenomena of missed detection and false killing.

[0068] Based on the above considerations, the applicant proposes a battery cell detection system and a battery cell detection method, which can ensure the accuracy of the detection result of the laminated battery cell and avoid the phenomena of missed detection and false killing by directly measuring the heights of the anode sheet and the cathode sheet of the laminated battery cell and measuring the inclination of each surface of the laminated battery cell.

[0069] For the convenience of understanding, some terms are introduced in the embodiments of the present application.

[0070] The batteries involved in the embodiments of the present application can include but are not limited to: button batteries, laminated batteries, soft-pack batteries, hard-shell batteries, cylindrical batteries, etc. according to the battery shape.

[0071] The batteries involved in the embodiments of the present application can include but are not limited to: ternary batteries, lithium iron phosphate batteries, silicon-based batteries, carbon-silicon-based batteries, lithium-sulfur batteries, etc. according to the battery material.

[0072] In the embodiments of the present application, the cathode (or positive electrode) of the battery involved will be oxidized during the charging process. Lithium ions can escape from the layered intercalation material of the cathode, pass through the electrolyte, and intercalate into the anode. Correspondingly, the anode (or negative electrode) of the battery involved in the embodiments of the present application will undergo an oxidation reaction during the discharging process. Lithium ions can escape from the anode, pass through the electrolyte, and re-intercalate into the cathode.

[0073] In one embodiment, Figure 1 is a schematic structural diagram of a battery cell detection system in an embodiment of the present application. As Figure 1 shown, it includes an image acquisition module 20 and a processor 40.

[0074] Specifically, the image acquisition module 20 is communicatively connected to the processor 40. The image acquisition module 20 is used to obtain a first battery cell image and a second battery cell image of the stacked battery cell 10 after hot pressing; the processor 40 is used to identify the positions of the anode sheet and the cathode sheet according to the first battery cell image, and obtain the flatness parameter of the stacked battery cell according to the positions of the anode sheet, the cathode sheet, and the second battery cell image, and confirm whether there are defects in the stacked battery cell 10 according to the flatness parameter.

[0075] The image acquisition module 20 can be set according to the requirements of the first battery cell image and the second battery cell image. Among them, the first battery cell image is used for the positioning of the electrode sheet, and the second battery cell image is used for the reconstruction of the electrode sheet. For example, the image acquisition module 20 can be a binocular camera, where one monocular lens is used to collect RGB images or grayscale images, etc. (i.e., the first battery cell image), and the other monocular lens is used to collect infrared images, depth images, or point cloud images, etc. (i.e., the second battery cell image); for another example, the image acquisition module 20 can be a line laser 3D camera, which simultaneously collects grayscale images and point cloud images, etc.; for still another example, the image acquisition module 20 can be a combination of a monocular camera and a lidar, where the monocular camera collects RGB images or grayscale images, etc., and the lidar collects point cloud images. The image acquisition module 20 can be selected according to the actual situation, and the present application does not aim to limit the specific type and model of the image acquisition module 20.

[0076] The processor 40 can be a host computer, an industrial control computer, a workstation, etc., as long as it can realize the control of the image acquisition module 20 and the defect detection of the stacked battery 10.

[0077] This battery cell detection system uses the direct method to detect the Overhang value of the anode sheet and the cathode sheet, effectively improving the accuracy of the defect detection of the stacked battery cell and avoiding the phenomena of missed detection and false killing.

[0078] In one embodiment, as Figure 1As shown, the image acquisition module acquires the first cell image and the second cell image of each surface of the stacked cell 10 along the direction towards each surface of the stacked cell 10. Here, the direction towards the stacked cell 10 can be set according to the actual requirements of the production line. For example, it can be perpendicular to each surface of the stacked cell 10, or at a certain angle to each surface of the stacked cell 10.

[0079] By means of the first cell image and the second cell image of each surface of the stacked cell facing the anode, the subsequent positioning and reconstruction of the anode sheet and the cathode sheet are ensured to be accurate, and the accurate detection of the flatness parameter of the stacked cell is ensured.

[0080] In one embodiment, as Figure 1 shown, the stacked cell 10 includes a first surface 11 and a second surface 12. The image acquisition module 20 includes two, namely the first image acquisition module 21 and the second image acquisition module 22.

[0081] Specifically, the first image acquisition module 21 and the second image acquisition module 22 are respectively located on both sides of the stacked cell 10. Among them, the first image acquisition module 21 is used to acquire the first cell image and the second cell image of the first surface 11 of the stacked cell 10; the second image acquisition module 22 is used to acquire the first cell image and the second cell image of the second surface 12 of the stacked cell 10.

[0082] In one embodiment, as Figure 1 and Figure 2 shown, the processor 40 is further configured to synchronously identify the positions of the anode sheet 13 and the cathode sheet 14 on each surface of the stacked cell 10 according to the first cell images of each surface of the stacked cell 10 respectively acquired by the two image acquisition modules 20.

[0083] Specifically, the first image acquisition module 21 acquires the first cell image and the second cell image of the first surface 11 of the stacked cell 10; synchronously, the second image acquisition module 22 acquires the first cell image and the second cell image of the second surface 12 of the stacked cell 10. The processor 40 synchronously receives the above cell images, and respectively identifies the first cell images of the first surface 11 and the first cell images of the second surface 12, and synchronously identifies the positions of the anode sheet and the cathode sheet on each surface of the stacked cell 10.

[0084] Similarly, the processor 40 is further configured to synchronously analyze the second cell images of the first surface 11 and the second cell images of the second surface 12, so as to simultaneously realize the flatness parameter detection of the first surface 11 and the flatness parameter detection of the second surface 12. Thereby, the detection speed of the cell detection system can be improved, the production line rhythm can be ensured, and the production efficiency can be improved.

[0085] In one embodiment, please continue to refer to Figure 1, the battery cell detection system further includes a detection module 30. The detection module 30 is communicatively connected to the processor 40. The first image acquisition module 21 and the second image acquisition module 22 are respectively located on both sides of the detection module 30, and the stacked battery cell 10 is located in the detection module 30.

[0086] Specifically, the detection module 30 is configured to generate a battery cell position signal and send it to the processor 40 when it detects that the stacked battery cell 10 is located at a preset detection position. The processor 40 is configured to generate an image acquisition instruction based on the identification code of the stacked battery cell 10 and send it to the image acquisition module 20 when it receives the battery cell position signal, that is, send it to the first image acquisition module 21 and the second image acquisition module 22. The identification code of the stacked battery cell 10 can be a product serial number (Serial Number, SN code). The image acquisition module 20 is configured to acquire a first battery cell image and a second battery cell image of the stacked battery cell after hot pressing when it receives the image acquisition instruction, that is, the first image acquisition module 21 and the second image acquisition module 22 perform image acquisition synchronously.

[0087] The image acquisition instruction generated through the product serial number of the stacked battery cell 10 can ensure that the acquisition pose (such as the shooting height) of the stacked battery cell 10 of this battery model by the image acquisition module 20 is in the best position through this image acquisition instruction.

[0088] In an embodiment of the present application, the identification code includes the model information of the stacked battery cell 10. The image acquisition instruction includes the position parameters of the image acquisition module. The image acquisition module 20 is configured to obtain the pose when performing image acquisition on the stacked battery cell 10 according to the position parameters.

[0089] When different models of battery cells are subjected to image acquisition, the shooting distance between each image acquisition module 20 and its surface may be different. The battery cell detection system automatically adjusts the shooting distance between the image acquisition module 20 and the corresponding battery cell surface according to the battery model information. Specifically, a preset pose library established for each battery model is preset in the battery detection system, and the pose data when the image acquisition module 20 performs image acquisition on the stacked battery cell 10 is confirmed according to different battery models by the processor 40. Among them, the pose data includes the height at which the image acquisition module 20 acquires the battery cell image, the shooting angle of the image acquisition module 20 for the battery cell image, and the moving speed of the image acquisition module, etc. Automatically confirming the image acquisition pose through the identification code of the stacked battery cell 10 can improve the adaptability of the system to the detection of different models of battery cells and enhance the versatility of the battery cell detection system.

[0090] In an embodiment of the present application, the processor 40 is further configured to confirm the defect detection algorithm corresponding to the stacked battery cell 10 according to the identification code of the stacked battery cell 10. It can be understood that different types of battery cells may adopt different defect detection algorithms when performing image-based defect detection. The battery cell detection system automatically confirms the corresponding defect detection algorithm according to the battery model information, which can improve the adaptability of the system to the detection of different models of battery cells and further enhance the versatility of the battery cell detection system.

[0091] As Figure 2 shown, Figure 2 is a schematic structural diagram of the surface of the stacked battery cell 10 in an embodiment of the present application. Each surface of the stacked battery cell 10 includes a plurality of anode plates 13 and cathode plates 14 arranged alternately side by side. In an embodiment of the present application, please continue to refer to Figure 1 , the flatness parameter includes the height difference between adjacent anode plates 13 and cathode plates 14.

[0092] Specifically, the processor 40 is configured to obtain the position of each anode plate and the position of each cathode plate of the stacked battery cell according to the first battery cell image, and obtain the contour image of each anode plate and the contour image of each cathode plate of the stacked battery cell 10 according to the position of each anode plate, the position of each cathode plate and the second battery cell image, and obtain the height difference between adjacent anode plates 13 and cathode plates 14 according to the position of each anode plate, the position of each cathode plate, the contour image of each anode plate and the contour image of each cathode plate. As Figure 3a shown, it is confirmed whether the stacked battery cell 10 has defects according to the height difference 16. Among them, when the height difference is less than or equal to the preset threshold, it indicates that the surface flatness of the stacked battery cell 10 meets the requirements, and it is confirmed that the stacked battery cell 10 has no defects; when the height difference is greater than the preset threshold, it indicates that the surface flatness of the stacked battery cell 10 does not meet the requirements, and it is confirmed that the stacked battery cell 10 has defects.

[0093] When identifying the positions of the anode sheet 13 and the cathode sheet 14 in the stacked battery cell 10, the processor 40 is further configured to perform segmentation processing on the anode sheet and / or the cathode sheet of the first battery cell image to obtain the positions of the anode sheet and the cathode sheet. It can be seen that in the first solution, the anode sheets 13 in each surface of the stacked battery cell 10 are segmented, all the anode sheet 13 regions of each surface are identified, and then an ROI (i.e., region of interest) region is drawn between two adjacent anode sheet 13 regions, thus obtaining the position of the cathode sheet 14, and thereby realizing the identification of the positions of the anode sheet and the cathode sheet. In the second solution, the cathode sheets 14 in each surface of the stacked battery cell 10 are segmented, all the cathode sheet 14 regions of each surface are identified, and then an ROI (i.e., region of interest) region is drawn between two adjacent cathode sheet 14 regions, thus obtaining the position of the anode sheet 13, and thereby realizing the identification of the positions of the anode sheet and the cathode sheet. In the third solution, the anode sheets 13 and the cathode sheets 14 in each surface of the stacked battery cell 10 are segmented simultaneously to identify the positions of the anode sheet and the cathode sheet.

[0094] Through the above three solutions, reasonable anode sheet and cathode sheet positioning methods are adapted for different models of stacked battery cells 10. In addition, the specific use of the above three positioning solutions can be reasonably determined according to the requirements of the production line for detection speed and the like.

[0095] In an embodiment of the present application, as Figure 3b shown, the flatness parameter further includes the inclination 18 of each surface of the stacked battery cell 10.

[0096] Specifically, the solutions for obtaining the inclination include the following: In the first solution, the processor 40 is configured to obtain the inclination of the stacked battery cell 10 according to the position of each anode sheet and the contour image of each anode sheet in each surface of the stacked battery cell 10. In the second solution, the processor 40 is configured to obtain the inclination of the stacked battery cell 10 according to the position of each cathode sheet and the contour image of each cathode sheet in each surface of the stacked battery cell 10. In the above two solutions, the processor 40 is further configured to confirm whether there are defects in the stacked battery cell 10 according to the inclination. In the third solution, the processor 40 simultaneously obtains the inclination corresponding to the anode sheet 13 and the inclination corresponding to the cathode sheet 14 in the manner of the first solution and the second solution respectively, and confirms whether there are defects in the stacked battery cell 10 according to the inclination corresponding to the anode sheet 13 and the inclination corresponding to the cathode sheet 14. Among them, when the inclination is less than or equal to the preset threshold, it indicates that the surface flatness of the stacked battery cell 10 meets the requirements, and it is confirmed that there are no defects in the stacked battery cell 10; when the inclination is greater than the preset threshold, it indicates that the surface flatness of the stacked battery cell 10 does not meet the requirements, and it is confirmed that there are defects in the stacked battery cell 10.

[0097] Through this battery cell detection system, it is possible to detect the height difference between the anode sheets 13 and the cathode sheets 14 on each surface of the stacked battery cell 10, and it is also possible to detect the inclination of each surface of the stacked battery cell 10. Among them, the height difference between the adjacent anode sheets 13 and cathode sheets 14 on each surface of the stacked battery cell 10 characterizes whether the electrode sheets are stacked along the crease during the folding process or whether the electrode sheets are wrinkled during the stacking process. The inclination of each surface of the stacked battery cell 10 characterizes that the stacked battery cell 10 is inclined and does not meet the requirements for shell insertion. This battery cell detection system simultaneously detects multiple defects of the stacked battery cell 10, avoiding the omission of defective stacked battery cells 10.

[0098] In an embodiment of the present application, please continue to refer to Figure 1 , the battery cell detection system further includes a waste discharging module 50, and the waste discharging module 50 is matched with the detection module 30 and communicatively connected to the processor 40.

[0099] Specifically, the processor 40 is configured to generate a waste discharging instruction and send it to the waste discharging module 50 when the stacked battery cell 10 has a defect; the waste discharging module 50 is configured to remove the defective stacked battery cell 10 based on the waste discharging instruction for waste discharging treatment.

[0100] By performing waste discharging treatment on the detected defective stacked battery cells 10, it is avoided that the defective stacked battery cells 10 are inserted into the shell, resulting in safety risks during the use of the finished battery.

[0101] In an embodiment of the present application, please continue to refer to Figure 1 , the battery cell detection system further includes an adhesive pasting module 60, and the adhesive pasting module 60 is a downstream production line of the detection module 30 and communicatively connected to the processor 40.

[0102] Specifically, the processor 40 is configured to generate an adhesive pasting instruction and send it to the adhesive pasting module 60 when the stacked battery cell 10 has no defect; the adhesive pasting module 60 is configured to paste the stacked battery cell 10 based on the adhesive pasting instruction.

[0103] Through the automatic control of the detection module 30 and the adhesive pasting module 60 on the production line by the processor 40, the detected non-defective stacked battery cells 10 are automatically fed from the detection module 30 to the adhesive pasting module 60, realizing a high degree of automation and intelligence in the detection of the stacked battery cells 10 during the hot pressing and adhesive pasting processes, and reducing the impact of adding a detection process between the hot pressing process and the adhesive pasting process on the production efficiency.

[0104] In one embodiment, Figure 4 is a flowchart of the battery cell detection method in an embodiment of the present application. This battery cell detection method can be applied to the above battery cell detection system. As Figure 4 shown, its steps include:

[0105] Step 410: Obtain a first cell image and a second cell image of the stacked cell after hot pressing, where the first cell image and the second cell image are acquired from the same surface of the stacked cell.

[0106] It can be seen that through the two relatively arranged image acquisition modules 20 of the cell detection system, the first cell image and the second cell image of each surface of the stacked cell 10 can be obtained simultaneously.

[0107] Step 420: Identify the first cell image to obtain the positions of the anode sheet and the cathode sheet of the stacked cell.

[0108] Step 430: Obtain the flatness parameter of the stacked cell according to the positions of the anode sheet, the cathode sheet, and the second cell image.

[0109] Step 440: Confirm whether there are defects in the stacked cell according to the flatness parameter.

[0110] Through the above embodiments, it is possible to detect the Overhang values of the anode sheet and the cathode sheet on each surface of the stacked cell 10 in real time, and timely confirm whether the electrode sheets of the stacked cell 10 are stacked along the crease during the folding process or whether the electrode sheets are wrinkled during the stacking process. Discard the defective stacked cells 10 according to the detection results, and avoid the defective stacked cells 10 with Overhang values not meeting the design requirements and not conforming to process safety from entering the shell, resulting in defects in the entire produced battery.

[0111] In one embodiment, Step 420: Identify the first cell image to obtain the positions of the anode sheet and the cathode sheet, including:

[0112] Obtain the positions of the anode sheet and the cathode sheet according to the gray value difference between the anode sheet and the cathode sheet in the first cell image.

[0113] It can be seen that since the anode sheet and the cathode sheet have different colors, when the first cell image is a grayscale image, the anode sheet and the cathode sheet show different display effects in the first cell image. Therefore, all the anode sheets 13 and cathode sheets 14 on each surface of the stacked cell 10 can be identified by means of image recognition.

[0114] In one embodiment, obtaining the positions of the anode sheet and the cathode sheet according to the gray value difference between the anode sheet and the cathode sheet in the first cell image includes:

[0115] Perform segmentation processing on the first cell image to obtain the positions of the anode sheet and the cathode sheet.

[0116] It can be known that the segmentation algorithm used in the segmentation process segments the RGB image or grayscale image of the first cell image; and the segmentation algorithm is not limited to the segmentation operator trained by machine learning, nor is it limited to the instance segmentation or semantic segmentation model trained by deep learning. The embodiments of the present application are not intended to limit the specific segmentation method, as long as it can segment the anode sheet and / or cathode in the first cell image to obtain the recognition result.

[0117] Figure 5a 、 Figure 5b and Figure 5c is a schematic flowchart of identifying the anode sheet and cathode sheet in the first cell image in an embodiment of the present application. As Figure 2 shown, each surface of the cell 10 includes a plurality of anode sheets 13 and cathode sheets 14 arranged alternately side by side. Therefore, the steps of segmenting the first cell image to obtain the positions of the anode sheet and the cathode sheet may include the following three schemes.

[0118] As Figure 5a shown, the first scheme is:

[0119] Step 510: Segment the anode sheet in the first cell image to obtain the position of the anode sheet.

[0120] Step 520: Obtain the position of the cathode sheet according to the positions of two adjacent anode sheets.

[0121] As Figure 5b shown, the second scheme is:

[0122] Step 530: Segment the cathode sheet in the first cell image to obtain the position of the cathode sheet.

[0123] Step 540: Obtain the position of the anode sheet according to the positions of two adjacent cathode sheets.

[0124] Continuing from the above, Figure 5a the first scheme of Figure 5b and Figure 5a the second scheme of Figure 5b can detect all the cathode sheets and anode sheets in each surface according to the first cell image. In the first scheme of Figure 5a , an ROI region is drawn between every two adjacent anode sheets, and this ROI region is the cathode sheet; Figure 5b in the second scheme of Figure 5b , an ROI region is drawn between every two adjacent cathode sheets, and this ROI region is the anode sheet. By this method, the calculation consumption can be effectively reduced and the detection speed of the system can be improved.

[0125] As Figure 5c shown, the third scheme is:

[0126] Step 550: Segment the anode sheet and the cathode sheet in the first cell image to obtain the positions of the anode sheet and the cathode sheet.

[0127] As in Figure 5c Solution 3, the anode sheet 13 and the cathode sheet 14 are simultaneously divided. Compared with Figure 5a Solution 1 and Figure 5b Solution 2, it increases the computing power requirement for simultaneous identification of the two types of electrode sheets, but reduces the post-processing operation of ROI drawing.

[0128] The embodiments of the present application do not aim to limit the specific division method of the anode sheet 13 and the cathode sheet 14. As long as the positioning of the anode sheet 13 and the cathode sheet 14 is achieved through any of the above solutions.

[0129] Taking the flatness parameter including the height difference between the adjacent anode sheet 13 and cathode sheet 14 on the surface of the stacked battery cell 10 as an example:

[0130] Figure 6 is a schematic flowchart of obtaining the flatness parameter of the stacked battery cell in an embodiment of the present application. As in Figure 6 shown, step 430: According to the anode sheet position, the cathode sheet position and the second battery cell image, obtain the flatness parameter of the stacked battery cell, including:

[0131] Step 610: According to the second battery cell image, obtain the reconstructed anode sheet image and the reconstructed cathode sheet image of the stacked battery cell.

[0132] Among them, the reconstructed anode sheet image and the cathode sheet image can be point cloud images. Specifically, it can be obtained by collecting with a 3D laser beam camera, or can be obtained by scanning with a lidar.

[0133] Step 620: According to the anode sheet position, the cathode sheet position, the reconstructed anode sheet image and the reconstructed cathode sheet image, obtain the anode sheet contour image and the cathode sheet contour image.

[0134] It can be seen that by positioning each anode sheet position and each cathode sheet position of the stacked battery cell 10, assigning an anode sheet position identifier and a cathode sheet position identifier to each, and transmitting the above identifiers to the reconstructed anode sheet image and the reconstructed cathode sheet image, the height difference detection result of the anode sheet and the cathode sheet at the specific position can be obtained.

[0135] Step 630: According to the anode sheet position, the cathode sheet position, the anode sheet contour map and the cathode sheet contour image, obtain the height difference between the adjacent anode sheet and cathode sheet.

[0136] By calculating the height difference between every two adjacent anode sheets and cathode sheets of the stacked battery cell 10, the detection of all the anode sheets and cathode sheets on the surface of the stacked battery cell 10 is realized. Thus, the detection of the Overhang value of the stacked battery cell is realized.

[0137] Figure 7Schematic diagram of the process for obtaining the height difference between adjacent anode and cathode plates in an embodiment of the present application. As Figure 7 shown, step 630: Obtain the height difference between adjacent anode and cathode plates according to the anode plate position, cathode plate position, anode plate contour diagram, and cathode plate contour image, including:

[0138] Step 710: Obtain the pole piece waveform diagram of the stacked battery cell according to the anode plate position, cathode plate position, anode plate contour diagram, and cathode plate contour image; wherein, each wave peak in the pole piece waveform diagram is used to represent the height of the anode plate or the cathode plate.

[0139] It should be noted that the horizontal axis of the pole piece waveform diagram represents the profile center line (or any parallel line of this center line) of the stacked battery cell 10 along the direction of staggered arrangement of its anode and cathode plates (i.e., Figure 2 the direction from left to right in ), and the vertical axis of the pole piece waveform diagram represents the height of the anode and cathode plates of the stacked battery cell 10.

[0140] It can be seen that when mapping the anode plate contour diagram and the cathode plate contour image to the pole piece waveform diagram along the direction of staggered arrangement of the anode and cathode plates of the stacked battery cell 10, each waveform of the pole piece waveform diagram inherits the above-mentioned anode plate identifier and cathode plate identifier.

[0141] Step 720: Obtain the height difference according to the absolute value of the height difference between adjacent anode plate wave peaks and cathode plate wave peaks in the pole piece wave peak diagram.

[0142] It can be seen that the height of the anode plate 13 of the stacked battery cell 10 may be higher than the height of the cathode plate 14, or the height of the anode plate 13 may be lower than the height of the cathode plate 14. As long as the absolute value of its height difference does not meet the preset threshold, there is a defect.

[0143] Among them, step 440: Confirm whether there is a defect in the stacked battery cell according to the flatness parameter, including the following two results:

[0144] The first result is: When the height difference is less than or equal to the preset threshold, it is confirmed that there is no defect in the stacked battery cell.

[0145] The second result is: When the height difference is greater than the preset threshold, it is confirmed that there is a defect in the stacked battery cell.

[0146] Among them, the preset thresholds of the height differences of different models of stacked battery cells 10 may be different. The height difference threshold of each stacked battery cell 10 is a known parameter according to its quality requirements, that is, the preset threshold of the height difference. When confirming whether there is a defect in the stacked battery cell 10, it is only necessary to compare the height difference between adjacent anode and cathode plates obtained by measurement with this preset threshold.

[0147] Taking the flatness parameter including the inclination of each surface of the stacked battery cell 10 as an example:

[0148] Figure 8a and Figure 8b is a schematic flow chart of obtaining the inclination of each surface of the stacked battery cell in an embodiment of the present application. As shown in FIG. 3, Figure 8a and Figure 8b shown, step 430: The step of obtaining the flatness parameter of the stacked battery cell according to the anode sheet position, the cathode sheet position, and the second battery cell image may further include the following three solutions.

[0149] As Figure 8a shown, the first solution is:

[0150] Step 810: Obtain the anode sheet peak line according to the connection line of the peaks corresponding to each anode sheet in the pole piece waveform diagram.

[0151] Step 820: Obtain the inclination according to the anode sheet peak line and the horizontal axis of the pole piece waveform diagram.

[0152] As shown in FIG. 3, the anode sheet peak line 17 is the connection line of the peaks corresponding to each anode sheet. By calculating the angle between the anode sheet peak line 17 and the horizontal axis, the inclination of the stacked battery cell 10 along the staggered arrangement direction of its anode sheet 13 and cathode sheet 14 can be obtained.

[0153] As Figure 8b shown, the second solution is:

[0154] Step 830: Obtain the cathode sheet peak line according to the connection line of the peaks corresponding to each cathode sheet in the pole piece waveform diagram.

[0155] Step 840: Obtain the inclination according to the cathode sheet peak line and the horizontal axis of the pole piece waveform diagram.

[0156] It can be seen that the inclination of the stacked battery cell 10 can be characterized by either the anode sheet peak line or the cathode sheet peak line (not shown in the figure). Similarly, by calculating the angle between the cathode sheet peak line and the horizontal axis, the inclination of the stacked battery cell 10 along the staggered arrangement direction of its anode sheet 13 and cathode sheet 14 can be obtained.

[0157] The third solution is the combination of the two solutions shown in the above Figure 8a and Figure 8b shown.

[0158] It can be known that an inclination is calculated by calculating the peak lines of the anode sheet and the cathode sheet simultaneously. Then, either by measuring the inclination corresponding to the anode sheet and the inclination corresponding to the cathode sheet multiple times and fitting the results of multiple inclinations; or by measuring the inclination corresponding to the anode sheet and the inclination corresponding to the cathode sheet multiple times and taking the average value of the results of multiple inclinations; or by selecting the larger value among the inclination corresponding to the anode sheet and the inclination corresponding to the cathode sheet to represent the inclination of the stacked cell 10, etc. In the third solution, the specific use of Figure 8a and Figure 8b The results can be selected according to the actual situation.

[0159] Among them, step 440: Confirm whether there are defects in the stacked cell according to the flatness parameter, and also includes the following two results:

[0160] The first result is: when the inclination is less than or equal to the preset threshold, it is confirmed that there are no defects in the stacked cell.

[0161] The second result is: when the inclination is greater than the preset threshold, it is confirmed that there are defects in the stacked cell.

[0162] Among them, the preset thresholds of the inclinations of different models of stacked cells 10 may be different. The inclination threshold of each stacked cell 10 is a known parameter according to its quality requirements, that is, the preset threshold of the inclination. When confirming whether there are defects in the stacked cell 10, it is only necessary to compare the measured inclination with the preset threshold.

[0163] As mentioned above, by mapping the stacked cell 10 to a waveform diagram, through a set of cell detection methods, it is possible to detect both the height difference between the anode sheet 13 and the cathode sheet 14 on each surface of the stacked cell 10 and the inclination of each surface of the stacked cell 10. This detection method has good generalization ability and effectively improves the efficiency of detecting the flatness of the surface of the stacked cell 10.

[0164] Figure 9 This is a schematic flow diagram for confirming the stacked cell defect detection algorithm in an embodiment of the present application. As Figure 9 shown, the method further includes:

[0165] Step 910: Obtain the identification code of the stacked cell. Among them, the identification code can be the product serial number (Serial Number, SN code).

[0166] Step 920: According to the identification code of the stacked cell, confirm the pose parameters of the image acquisition module used to acquire the first cell image and the second cell image of the stacked cell, and confirm the defect detection algorithm corresponding to the stacked cell in the preset defect detection algorithm library; among them, the defect detection algorithm is used to detect whether there are defects in the stacked cell.

[0167] It can be understood that due to the different models of the laminated battery cells 10, the corresponding defect detection algorithms may be different. For different laminated battery cells 10, the corresponding segmentation algorithm for each laminated battery cell 10 may be based on different segmentation methods or sample training corresponding to each laminated battery cell 10, and each laminated battery cell 10 is associated with the identification code of the laminated battery cell 10, so as to enable the battery cell detection system to establish a defect detection algorithm library for different models of laminated battery cells 10. When in use, the battery cell detection system automatically calls the corresponding defect detection algorithm according to the model information included in the identification code of each laminated battery cell 10 for defect identification, which enhances the robustness of the defect detection system and also improves the efficiency of defect detection.

[0168] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are shown in sequence according to the indications of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or steps or stages in other steps.

[0169] Based on the same inventive concept, an embodiment of the present application further provides a battery cell detection device for implementing the battery cell detection method involved above. The implementation solution provided by this device to solve problems is similar to the implementation solution described in the above method. Therefore, the specific limitations in the embodiment of the battery cell detection device provided below can refer to the limitations on the battery cell detection method in the above text, and will not be repeated here.

[0170] In one embodiment, the battery cell detection device includes:

[0171] An acquisition unit 1010: configured to acquire a first battery cell image and a second battery cell image of the laminated battery cell, wherein the first battery cell image and the second battery cell image are acquired from the same surface of the laminated battery cell.

[0172] An identification unit 1020: configured to identify the first battery cell image to obtain the positions of the anode plate and the cathode plate of the laminated battery cell.

[0173] A calculation unit 1030: configured to obtain the flatness parameter of the laminated battery cell according to the positions of the anode plate, the cathode plate, and the second battery cell image.

[0174] Verification unit 1040: Configured to verify whether there are defects in the stacked battery cell according to the flatness parameter.

[0175] Optionally, acquisition unit 1010: Further configured to acquire the identification code of the stacked battery cell; confirm the defect detection algorithm corresponding to the stacked battery cell in a preset defect detection algorithm library according to the identification code of the stacked battery cell; wherein, the defect detection algorithm is used to detect whether there are defects in the stacked battery cell.

[0176] Optionally, identification unit 1020: Further configured to obtain the anode sheet position and the cathode sheet position according to the gray value difference between the anode sheet and the cathode sheet in the first battery cell image.

[0177] Optionally, identification unit 1020: Further configured to perform segmentation processing on the first battery cell image to obtain the anode sheet position and the cathode sheet position.

[0178] Optionally, identification unit 1020: Further configured to perform segmentation processing on the anode sheet in the first battery cell image to obtain the anode sheet position; obtain the cathode sheet position according to two spaced anode sheet positions; or perform segmentation processing on the cathode sheet in the first battery cell image to obtain the cathode sheet position; obtain the anode sheet position according to two spaced cathode sheet positions; or perform segmentation processing on the anode sheet and the cathode sheet in the first battery cell image to obtain the anode sheet position and the cathode sheet position.

[0179] Optionally, calculation unit 1030: Further configured to obtain the reconstructed image of the anode sheet and the reconstructed image of the cathode sheet of the stacked battery cell according to the second battery cell image; obtain the contour image of the anode sheet and the contour image of the cathode sheet according to the anode sheet position, the cathode sheet position, the reconstructed image of the anode sheet and the reconstructed image of the cathode sheet; obtain the height difference between adjacent anode sheets and cathode sheets according to the anode sheet position, the cathode sheet position, the anode sheet contour map and the cathode sheet contour image.

[0180] Optionally, calculation unit 1030: Further configured to obtain the pole piece waveform diagram of the stacked battery cell according to the anode sheet position, the cathode sheet position, the anode sheet contour map and the cathode sheet contour image; wherein, each wave peak in the pole piece waveform diagram is used to represent the height of the anode sheet or the height of the cathode sheet; obtain the height difference according to the absolute value of the height difference between adjacent anode sheet wave peaks and cathode sheet wave peaks in the pole piece wave peak diagram.

[0181] Optionally, calculation unit 1030: Further configured to obtain the anode sheet wave peak line according to the connection line of each wave peak corresponding to the anode sheet in the pole piece waveform diagram; obtain the inclination according to the anode sheet wave peak line and the horizontal axis of the pole piece waveform diagram; and / or obtain the cathode sheet wave peak line according to the connection line of each wave peak corresponding to the cathode sheet in the pole piece waveform diagram; obtain the inclination according to the cathode sheet wave peak line and the horizontal axis of the pole piece waveform diagram.

[0182] Optionally, the confirmation unit 1040 is further configured to confirm that the stacked battery cell has no defect when the height difference is less than or equal to a preset threshold; or to confirm that the stacked battery cell has a defect when the height difference is greater than the preset threshold.

[0183] Optionally, the confirmation unit 1040 is further configured to confirm that the stacked battery cell has no defect when the inclination is less than or equal to a preset threshold; or to confirm that the stacked battery cell has a defect when the inclination is greater than the preset threshold.

[0184] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the technical solutions in the above-described embodiments of the battery cell detection method of the present application are implemented. The implementation principles and technical effects are similar and will not be elaborated here.

[0185] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the technical solutions in the above-described embodiments of the battery cell detection method of the present application are implemented. The implementation principles and technical effects are similar and will not be elaborated here.

[0186] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memory can include Read-Only Memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0187] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not intended to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application, and they should all be covered by the scope of the claims and the description of the present application. In particular, as long as there is no structural conflict, the technical features mentioned in each embodiment can be combined in any way. The present application is not limited to the specific embodiments disclosed in the text, but includes all technical solutions that fall within the scope of the claims.

Claims

1. A battery cell detection system, characterized in that, Including: An image acquisition module for acquiring a first cell image and a second cell image of a stacked cell; wherein, the first cell image is used for the positioning of the electrode plate, and the second cell image is used for the reconstruction of the electrode plate; A processor for identifying the positions of the anode plate and the cathode plate according to the first cell image, and obtaining the flatness parameter of the stacked cell according to the positions of the anode plate, the cathode plate and the second cell image, and determining whether there is a defect in the stacked cell according to the flatness parameter; The flatness parameter includes the height difference between adjacent anode plates and cathode plates, and / or the flatness parameter further includes the inclination of each surface of the stacked cell; The processor is further configured to obtain each anode plate contour image and each cathode plate contour image of the stacked cell according to each anode plate position, each cathode plate position and the second cell image, and obtain the height difference between adjacent anode plates and cathode plates according to each anode plate position, each cathode plate position, each anode plate contour image and each cathode plate contour image; The processor is further configured to obtain the inclination according to each anode plate position and each anode plate contour image within each surface of the stacked cell, and obtain the inclination according to each cathode plate position and each cathode plate contour image within each surface of the stacked cell; The processor determines whether there is a defect in the stacked cell according to the height difference and / or the inclination.

2. The cell detection system according to claim 1, wherein, The image acquisition module acquires the first cell image and the second cell image of each surface of the stacked cell along the direction towards each surface of the stacked cell.

3. The cell detection system according to claim 1, wherein There are two image acquisition modules, and the two image acquisition modules are respectively located on both sides of the stacked cell; The processor is further configured to synchronously identify the positions of the anode plate and the cathode plate of each surface of the stacked cell according to the first cell image and the second cell image of each surface of the stacked cell respectively acquired by the two image acquisition modules.

4. The cell detection system according to claim 1, characterized in that, The system further includes a waste discharging module, and the waste discharging module is configured to generate a cell position signal and send it to the processor when it detects that the stacked cell is at a preset detection position; The processor is configured to generate an image acquisition instruction based on the identification code of the stacked cell and send it to the image acquisition module when it receives the cell position signal; The image acquisition module is configured to acquire the first cell image and the second cell image of the stacked cell after hot pressing when it receives the image acquisition instruction.

5. The battery cell detection system according to claim 1, wherein Each surface of the cell includes a plurality of anode plates and cathode plates arranged alternately side by side, and the flatness parameter includes the height difference between adjacent anode plates and cathode plates; The processor is configured to obtain each anode plate position and each cathode plate position of the stacked cell according to the first cell image.

6. The cell detection system according to claim 5, wherein The processor is further configured to perform segmentation processing on the first cell image for the anode plate and / or the cathode plate to obtain the positions of the anode plate and the cathode plate.

7. The cell detection system according to any one of claims 1 to 6, characterized in that, The system further includes a waste discharging module The processor is configured to generate a waste discharging instruction and send it to the waste discharging module when there is a defect in the stacked battery cell; The waste discharging module is configured to remove the stacked battery cell based on the waste discharging instruction.

8. The battery cell detection system according to claim 1, wherein The system further includes a glue pasting module, The processor is configured to generate a glue pasting instruction and send it to the glue pasting module when there is no defect in the stacked battery cell; The glue pasting module is configured to paste glue on the stacked battery cell based on the glue pasting instruction.

9. A method for detecting an electric cell, characterized in that including: Obtaining a first battery cell image and a second battery cell image of the stacked battery cell, wherein the first battery cell image and the second battery cell image are obtained by collecting the same surface of the stacked battery cell; Identifying the first battery cell image to obtain the positions of the anode plate and the cathode plate of the stacked battery cell; Obtaining a flatness parameter of the stacked battery cell according to the anode plate position, the cathode plate position and the second battery cell image; Confirming whether there is a defect in the stacked battery cell according to the flatness parameter; The flatness parameter includes the height difference between adjacent anode plates and cathode plates, and / or the flatness parameter further includes the inclination of each surface of the stacked battery cell; The method further includes obtaining a contour image of each anode plate and a contour image of each cathode plate of the stacked battery cell according to each anode plate position, each cathode plate position and the second battery cell image, and obtaining the height difference between adjacent anode plates and cathode plates according to each anode plate position, each cathode plate position, each anode plate contour image and each cathode plate contour image; Obtaining the inclination according to each anode plate position and the contour image of each anode plate within each surface of the stacked battery cell, and obtaining the inclination according to each cathode plate position and the contour image of each cathode plate within each surface of the stacked battery cell; Confirming whether there is a defect in the stacked battery cell according to the height difference and / or inclination.

10. The cell detection method according to claim 9, characterized in that, The identifying the first battery cell image to obtain the positions of the anode plate and the cathode plate of the stacked battery cell includes: Obtaining the anode plate position and the cathode plate position according to the gray value difference between the anode plate and the cathode plate in the first battery cell image.

11. The cell detection method according to claim 9, characterized in that, The identifying the first battery cell image to obtain the positions of the anode plate and the cathode plate of the stacked battery cell includes: Performing segmentation processing on the first battery cell image to obtain the anode plate position and the cathode plate position.

12. The cell detection method according to claim 11, wherein, Each surface of the battery cell includes a plurality of anode plates and cathode plates arranged side by side and alternately. The performing segmentation processing on the first battery cell image to obtain the anode plate position and the cathode plate position includes: Performing segmentation processing on the anode plates in the first battery cell image to obtain the anode plate positions; Obtaining the cathode plate position according to two spaced anode plate positions; or Performing segmentation processing on the cathode plates in the first battery cell image to obtain the cathode plate positions; Obtaining the anode plate position according to two spaced cathode plate positions; or Performing segmentation processing on the anode plates and cathode plates in the first battery cell image to obtain the anode plate position and the cathode plate position.

13. The cell detection method according to claim 9, wherein, Each surface of the battery cell includes a plurality of anode plates and cathode plates alternately arranged side by side, and the flatness parameter includes the height difference between adjacent anode plates and cathode plates; obtaining the flatness parameter of the stacked battery cell according to the positions of the anode plates, the positions of the cathode plates, and the second battery cell image includes: Obtaining a reconstructed image of the anode plates and a reconstructed image of the cathode plates of the stacked battery cell according to the second battery cell image; Obtaining an anode plate contour image and a cathode plate contour image according to the positions of the anode plates, the positions of the cathode plates, the reconstructed image of the anode plates, and the reconstructed image of the cathode plates; Obtaining the height difference between adjacent anode plates and cathode plates according to the positions of the anode plates, the positions of the cathode plates, the anode plate contour map, and the cathode plate contour image.

14. The cell detection method according to claim 13, wherein The obtaining the height difference between adjacent anode plates and cathode plates according to the positions of the anode plates, the positions of the cathode plates, the anode plate contour map, and the cathode plate contour image includes: Obtaining a pole piece waveform diagram of the stacked battery cell according to the positions of the anode plates, the positions of the cathode plates, the anode plate contour map, and the cathode plate contour image; wherein, each peak in the pole piece waveform diagram is used to represent the height of the anode plate or the height of the cathode plate; Obtaining the height difference according to the absolute value of the height difference between adjacent anode plate peaks and cathode plate peaks in the pole piece waveform diagram.

15. The cell detection method according to claim 13 or 14, characterized in that, The confirming whether the stacked battery cell has a defect according to the flatness parameter includes: When the height difference is less than or equal to a preset threshold, confirming that the stacked battery cell has no defect; or When the height difference is greater than the preset threshold, confirming that the stacked battery cell has a defect.

16. The cell detection method according to claim 13, wherein The flatness parameter further includes the inclination of each surface of the stacked battery cell, and obtaining the flatness parameter of the stacked battery cell according to the positions of the anode plates, the positions of the cathode plates, and the second battery cell image further includes: Obtaining a pole piece waveform diagram of the stacked battery cell according to the positions of the anode plates, the positions of the cathode plates, the anode plate contour map, and the cathode plate contour image; the horizontal axis of the pole piece waveform diagram represents the surface of the stacked battery cell; Obtaining an anode plate peak line according to the connection line of the peaks corresponding to each anode plate in the pole piece waveform diagram; Obtaining the inclination according to the anode plate peak line and the horizontal axis of the pole piece waveform diagram; Obtaining a cathode plate peak line according to the connection line of the peaks corresponding to each cathode plate in the pole piece waveform diagram; Obtaining the inclination according to the cathode plate peak line and the horizontal axis of the pole piece waveform diagram.

17. The cell detection method according to claim 16, wherein The confirming whether the stacked battery cell has a defect according to the flatness parameter further includes: When the inclination is less than or equal to a preset threshold, confirming that the stacked battery cell has no defect; or When the inclination is greater than the preset threshold, confirming that the stacked battery cell has a defect.

18. The cell detection method according to any one of claims 9 to 14, 16 to 17, characterized in that, The method further includes: Obtaining the identification code of the stacked battery cell; Based on the identification code of the stacked cell, confirm the pose parameters of the image acquisition module used to acquire the first cell image and the second cell image of the stacked cell, and confirm the defect detection algorithm corresponding to the stacked cell in the preset defect detection algorithm library; wherein, the defect detection algorithm is used to detect whether there are defects in the stacked cell.

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