Battery cell tab detection method and computer readable storage medium

Abstract

The embodiment of the application provides a kind of battery tab detection method and computer readable storage medium, comprising the following steps: obtaining battery image;The region of the battery image is positioned, and the tab region image is determined;Using connected region method, the tab region image is detected, and the folding state of tab is obtained.According to the technical solution of the embodiment of the application, after tab smoothing, the folding condition of tab during core production can be known in time by image acquisition, region positioning and connected region method, if tab folding is found, the technician can stop the core production process in time and solve tab folding problem in time, so that subsequent normal production and battery yield can be guaranteed.

Description

Technical Field

[0001] This application belongs to the field of battery manufacturing technology, and in particular relates to a method for detecting cell tabs and a computer-readable storage medium. Background Technology

[0002] In related technologies, the battery production process requires smoothing out the tabs before winding the electrode sheets and separators. However, the tabs may fold during the winding process, which can affect the subsequent packaging stage and easily cause problems such as poor contact, open circuits, and poor welding quality, greatly affecting the battery yield.

[0003] In order to improve the yield rate of batteries, the existing approach is to improve the structure of the smoothing device to alleviate the problem of tab flipping during high-speed winding. However, although this approach can reduce the occurrence of tab flipping, it cannot detect whether tab flipping has occurred. Once tab flipping occurs during high-speed winding, it will still affect subsequent normal production and the yield rate of batteries. Summary of the Invention

[0004] The following is an overview of the subject matter described in detail herein. This overview is not intended to limit the scope of the claims.

[0005] This application provides a cell tab detection method and a computer-readable storage medium, which can promptly detect the tab folding situation during the cell manufacturing process, thereby ensuring normal subsequent production and battery yield.

[0006] In a first aspect, embodiments of this application provide a method for detecting battery cell tabs, comprising: acquiring a battery cell image; performing region localization on the battery cell image to determine a tab region image; and using a connected component method to detect the tab region image to obtain the tab folding state.

[0007] In some embodiments, acquiring a cell image includes: acquiring the number of winding layers or the number of stacked layers; when the number of winding layers or the number of stacked layers is increased by one, taking a picture of the cell using an image sensor to obtain a cell image.

[0008] In some embodiments, the step of locating the battery cell image to determine the tab region image includes: using an edge detection method to locate the battery cell image to obtain the position of the separator edge; and using a connected component method based on the separator edge position to locate the battery cell image to determine the tab region image.

[0009] In some embodiments, the step of detecting the tab region image using the connected component method to obtain the tab folding state includes: placing a blob in the tab region image and calculating the local area corresponding to the black pixel area in the blob and the overall area corresponding to the blob; calculating the area ratio of the local area to the overall area, and determining the tab folding state based on the area ratio.

[0010] In some embodiments, determining the folding state of the tab based on the area ratio includes at least one of the following: when the area ratio is greater than a preset area ratio, determining that the tab is in a folded state; when the area ratio is less than or equal to the preset area ratio, determining that the tab is in a non-folded state.

[0011] In some embodiments, the step of detecting the tab region image using a connected component method to obtain the tab folding state includes: placing a blob in the tab region image and determining the black pixel region in the blob; generating a minimum bounding rectangle corresponding to the black pixel region based on the black pixel region; obtaining the length and width of the minimum bounding rectangle and calculating the aspect ratio of the length and width; and determining the tab folding state based on the aspect ratio.

[0012] In some embodiments, determining the folding state of the tab based on the length-to-width ratio includes at least one of the following: when the length-to-width ratio is greater than a preset length-to-width ratio, the tab is determined to be in a folded state; when the length-to-width ratio is less than or equal to the preset length-to-width ratio, the tab is determined to be in a non-folded state.

[0013] In some embodiments, the step of using a connected component method to detect the tab region image to obtain the tab's folding state includes: performing region localization on the cell image to determine the separator region, and acquiring the grayscale value of the separator region using a blob; determining a grayscale threshold range based on the grayscale value to characterize the tab being in a non-folding state, wherein the grayscale value is located within the grayscale threshold range; and detecting the tab region image based on the grayscale threshold range to obtain the tab's folding state.

[0014] In some embodiments, detecting the tab region image based on the grayscale threshold range to obtain the tab folding state includes at least one of the following: identifying the pixel grayscale in the tab region image, and determining that the tab is in a folded state when the pixel grayscale is outside the grayscale threshold range; identifying the pixel grayscale in the tab region image, and determining that the tab is in a non-folded state when the pixel grayscale is within the grayscale threshold range.

[0015] Secondly, embodiments of this application also provide a controller, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the cell tab detection method as described in the first aspect above when running the computer program.

[0016] Thirdly, embodiments of this application also provide a computer-readable storage medium storing computer-executable instructions for performing the cell tab detection method as described in the first aspect above.

[0017] The technical solutions of this application embodiment include, but are not limited to, the following technical effects: First, during the chip manufacturing process, this application embodiment acquires a cell image; then, it performs region localization on the cell image to determine the tab region image; finally, it uses a connected component method to detect the tab region image and obtain the tab's folding state. According to the technical solutions of this application embodiment, after the tab is smoothed, the folding status of the tab during chip manufacturing can be promptly obtained through image acquisition, region localization, and connected component methods. If tab folding is detected, technicians can promptly stop the chip manufacturing process and resolve the tab folding problem, thereby ensuring subsequent normal production and battery yield.

[0018] Other features and advantages of this application will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the description, claims and drawings. Attached Figure Description

[0019] The accompanying drawings are used to provide a further understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0020] Figure 1 This is a schematic diagram of a system architecture platform for performing a cell tab detection method according to an embodiment of this application;

[0021] Figure 2 This is a flowchart of a cell tab detection method provided in one embodiment of this application;

[0022] Figure 3 This is a flowchart of a cell tab detection method provided in another embodiment of this application;

[0023] Figure 4 This is a flowchart of a cell tab detection method provided in another embodiment of this application;

[0024] Figure 5This is a schematic diagram illustrating the positioning of the diaphragm edge according to an embodiment of this application;

[0025] Figure 6 This is a schematic diagram illustrating the localization of an image of the electrode region according to an embodiment of this application;

[0026] Figure 7 This is a flowchart of a cell tab detection method provided in another embodiment of this application;

[0027] Figure 8 This is a schematic diagram of a black pixel area and a blob provided in one embodiment of this application;

[0028] Figure 9 This is a flowchart of a cell tab detection method provided in another embodiment of this application;

[0029] Figure 10 This is a schematic diagram of the minimum bounding rectangle provided in one embodiment of this application;

[0030] Figure 11 This is a flowchart of a cell tab detection method provided in another embodiment of this application;

[0031] Figure 12 This is a schematic diagram of placing a blob in the diaphragm region according to an embodiment of this application. Detailed Implementation

[0032] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0033] In the description of this application, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0034] In the description of this application, "several" means one or more, "more than" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0035] In the description of this application, unless otherwise expressly defined, terms such as "setup," "installation," and "connection" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this application in conjunction with the specific content of the technical solution.

[0036] In some cases, the battery production process requires smoothing out the tabs before winding the electrode sheets and separators. However, the tabs may fold during the winding process, which can affect the subsequent packaging stage and easily cause problems such as poor contact, open circuits, and poor welding quality, greatly affecting the battery yield.

[0037] In order to improve the yield rate of batteries, the existing approach is to improve the structure of the smoothing device to alleviate the problem of tab flipping during high-speed winding. However, although this approach can reduce the occurrence of tab flipping, it cannot detect whether tab flipping has occurred. Once tab flipping occurs during high-speed winding, it will still affect subsequent normal production and the yield rate of batteries.

[0038] Based on the above, this application provides a cell tab detection method, controller, and computer-readable storage medium, which can promptly detect the tab folding situation during the cell manufacturing process, thereby ensuring normal subsequent production and battery yield.

[0039] The embodiments of this application will be further described below with reference to the accompanying drawings.

[0040] like Figure 1 As shown, Figure 1 This is a schematic diagram of a system architecture platform for performing a cell tab detection method according to an embodiment of this application.

[0041] The system architecture platform 100 of this application embodiment includes one or more processors 110 and memory 120. Figure 1 The example uses a processor 110 and a memory 120.

[0042] Processor 110 and memory 120 can be connected via a bus or other means. Figure 1 Taking the example of a connection between China and Israel via a bus.

[0043] Memory 120, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory 120 may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 120 may optionally include memory 120 remotely located relative to processor 110, and these remote memories can be connected to the system architecture platform 100 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0044] Those skilled in the art will understand that Figure 1 The device structure shown does not constitute a limitation on the system architecture platform 100, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0045] exist Figure 1 In the system architecture platform 100 shown, the processor 110 can be used to call the battery cell tab detection program stored in the memory 120, thereby realizing the battery cell tab detection method.

[0046] Based on the hardware structure of the above system architecture platform, various embodiments of the battery cell tab detection method of this application are proposed.

[0047] like Figure 2 As shown, Figure 2 This is a flowchart of a battery cell tab detection method provided in one embodiment of this application. The battery cell tab detection method includes, but is not limited to, steps S100, S200, and S300.

[0048] Step S100: Obtain cell image;

[0049] Step S200: Perform region localization on the cell image to determine the tab region image;

[0050] Step S300: Use the connected component method to detect the electrode region image and obtain the electrode folding state.

[0051] In one embodiment, after smoothing the tabs, this embodiment can acquire cell images during subsequent cell manufacturing. Since the cell image includes the tab area, the separator area, and other areas, in order to detect the tabs during subsequent testing, this embodiment will also perform region localization on the cell image to determine the tab area image, thereby knowing the approximate location of the tabs. Finally, after determining the tab area image, this embodiment will use tools such as blob to analyze the tab area image to determine whether the tabs are currently in a folded state or a non-folded state.

[0052] It's important to note that the battery tabs are a crucial component in lithium-ion battery cells. These tabs consist of a positive electrode and a negative electrode; the tabs are the metal conductors that connect the positive and negative terminals within the battery cell. In other words, the tabs are the contact points during charging and discharging. In most cases, the positive electrode of a lithium-ion battery tab is made of aluminum alloy, while the negative electrode is made of nickel. Alternatively, the negative electrode can be made of copper plated with nickel.

[0053] In addition, it should be noted that the embodiments of this application can be applied not only in the winding process, but also in the stacking process and other core-making processes. The embodiments of this application do not specifically limit the type of core-making process to which they are applied.

[0054] Additionally, it's worth noting that the aforementioned blob refers to a connected region in an image. Blob analysis involves extracting and labeling connected components from a binary image after foreground / background separation. Each labeled blob represents a foreground object, and then relevant features of the blob can be calculated, such as geometric features like area, centroid, and bounding rectangle. Color and texture features of the blob can also be calculated, and these features can be used as a basis for tracking.

[0055] According to the technical solution of this application embodiment, after the tab is smoothed, the folding situation of the tab during the core making process can be known in a timely manner through image acquisition, area positioning and connected area methods. If the tab is found to be folded, the technicians can stop the core making process in time and solve the tab folding problem in time, thereby ensuring the normal production and the yield rate of the battery.

[0056] In addition, such as Figure 3 As shown, Figure 3 This is a flowchart of a cell tab detection method provided in another embodiment of this application; regarding the acquisition of cell images in step S100 above, it includes, but is not limited to, steps S410 and S420.

[0057] Step S410: Obtain the number of winding layers or the number of stacked layers;

[0058] Step S420: When the number of winding layers or the number of stacked layers increases by one, an image sensor is used to take a picture of the cell to obtain a cell image.

[0059] In one embodiment, during the winding process, the electrode sheet and separator and other materials need to be wound layer by layer. Therefore, the electrode tab may be folded after each layer of material is wound. Therefore, this embodiment records and updates the number of winding layers of the material. When the number of winding layers increases by one, the image sensor will take a picture of the cell to collect the cell image.

[0060] It should be noted that the image sensor mentioned above can be a CCD (Charge Coupled Device) image sensor or other types of image sensors. This application does not specifically limit the type of image sensor.

[0061] Understandably, the aforementioned CCD image sensor is made of a highly sensitive semiconductor material that can convert light into electrical charge. This charge is then converted into digital signals by an analog-to-digital converter chip. After compression, the digital signals are stored in the camera's internal flash memory or built-in hard drive. As a result, the data can be easily transmitted to a computer, and the image can be modified according to needs and imagination using the computer's processing capabilities.

[0062] Additionally, it should be noted that the recording and updating of the number of winding layers or stacked layers of the roll material can be performed within the controller. For example, the controller can record the number of winding layers of the roll material in real time, and increment the winding layer count by one each time a layer of roll material is wound.

[0063] In addition, such as Figure 4 As shown, Figure 4 This is a flowchart of a cell electrode detection method provided in another embodiment of this application; regarding the above step S200, the process of locating the cell image and determining the electrode area image includes, but is not limited to, steps S510 and S520.

[0064] Step S510: Use edge detection method to locate the cell image and obtain the edge position of the separator;

[0065] Step S520: Based on the edge position of the diaphragm, the connected region method is used to perform region localization of the cell image to determine the tab region image.

[0066] In one embodiment, to more quickly and accurately locate the approximate area where the tab is located, this embodiment of the application may first use an edge detection method to locate the edge position of the diaphragm, wherein the edge position of the diaphragm can be seen Figure 5 Rectangular frame A is shown in the diagram. Since the tab is located on one side of the diaphragm edge, after determining the diaphragm edge position, this embodiment uses a connected region method along the diaphragm edge to perform region localization of the cell image, thereby determining the tab region image. The position of the tab region image can be seen in the diagram. Figure 6 Rectangular frame B is shown.

[0067] It should be noted that the edge detection steps described above mainly include filtering, enhancement, detection, and localization, as detailed below:

[0068] Regarding the filtering step: Edge detection algorithms are mainly based on the first and second derivatives of image intensity, but the calculation of derivatives is very sensitive to noise. Therefore, filters must be used to improve the performance of noise-dependent edge detectors. It should be noted that most filters reduce noise but also lead to a loss of edge intensity; therefore, a trade-off must be made between enhancing edges and reducing noise.

[0069] For the enhancement step: The basis of edge enhancement is determining the changes in intensity in the neighborhood of each point in the image. Enhancement algorithms can highlight points with significant changes in neighborhood (or local) intensity values. Edge enhancement is generally accomplished by calculating the gradient magnitude.

[0070] For the detection step: Many points in an image have relatively large gradient magnitudes, but these points are not necessarily edges in specific application domains. Therefore, a method should be used to determine which points are edges. The simplest edge detection criterion is the gradient magnitude threshold criterion.

[0071] For the localization step: If an application requires determining the edge location, the edge position can be estimated at sub-pixel resolution, and the edge orientation can also be estimated. The first three steps are very common in edge detection algorithms. This is because in most cases, it is only necessary for the edge detector to indicate that an edge appears near a certain pixel in the image, without needing to specify the edge's precise location or orientation.

[0072] It is worth noting that the use of the connected component method to detect the electrode region image in step S300 above, to obtain the electrode folding state, includes, but is not limited to, the following: Figure 7 , Figure 9 and Figure 11 The three implementation methods shown are as follows:

[0073] In addition, such as Figure 7 As shown, Figure 7 This is a flowchart of a battery cell tab detection method provided in another embodiment of this application; regarding the detection of the tab region image by using the connected component method in step S300 above to obtain the tab folding state, it includes, but is not limited to, steps S610, S620 and S630.

[0074] Step S610: Place a blob in the electrode region image and determine the black pixel region in the blob;

[0075] Step S620: Calculate the local area corresponding to the black pixel region in the blob and the overall area corresponding to the blob;

[0076] Step S630: Calculate the area ratio of the local area to the overall area, and determine the folding state of the tab based on the area ratio.

[0077] In one embodiment, after determining the electrode region image, this embodiment places a blob in the electrode region image, wherein the location of the blob can be seen. Figure 8 The rectangle C shown is used to detect the black pixel region within the area corresponding to the blob. If no black pixel region exists within the area corresponding to the blob, it can be determined that the tab is in a non-flipped state. If a black pixel region exists within the area corresponding to the blob, the location of the black pixel region can be seen... Figure 8 Given the triangle D in the lower left corner of the rectangle C shown, it is necessary to calculate the area ratio between the local area of ​​the black pixel region and the overall area corresponding to the blob. Finally, based on the size of this area ratio, it is determined whether the tab has folded.

[0078] It should be noted that if the area ratio is greater than the preset area ratio, the embodiment of this application will consider the tab to be in a folded state; if the area ratio is less than or equal to the preset area ratio, the embodiment of this application will consider the tab to be in a non-folded state.

[0079] It is understood that the aforementioned preset area ratio can be set in advance by technical personnel. The preset area ratio can be set to 20% or 15%. This application embodiment does not specifically limit the value of the preset area ratio.

[0080] Additionally, it should be noted that regarding the placement of blobs in the tab region image, this embodiment can place the blob in the center of the tab region image. Since both the tab region image and the blob are rectangular, when the blob is placed in the center of the tab region image, the distance between the top border of the blob and the top border of the tab region image is equal to the distance between the bottom border of the blob and the bottom border of the tab region image. Similarly, the distance between the left border of the blob and the left border of the tab region image is equal to the distance between the right border of the blob and the right border of the tab region image. Besides placing the blob in the center of the tab region image, this embodiment can also place the blob slightly to the left of the center or slightly above the center. This embodiment does not specifically limit the placement of the blob in the tab region image.

[0081] In addition, such as Figure 9 As shown, Figure 9 This is a flowchart of a battery cell tab detection method provided in another embodiment of this application; regarding the detection of the tab region image by using the connected region method in step S300 above to obtain the tab folding state, it includes, but is not limited to, steps S710, S720 and S730.

[0082] Step S710: Place a blob in the electrode region image and determine the black pixel region in the blob;

[0083] Step S720: Generate the minimum bounding rectangle corresponding to the black pixel region based on the black pixel region;

[0084] Step S730: Obtain the length and width of the smallest bounding rectangle, calculate the length-to-width ratio, and determine the folding state of the tabs based on the length-to-width ratio.

[0085] In one embodiment, after determining the electrode region image, this embodiment places a blob in the electrode region image, wherein the location of the blob can be seen. Figure 10 The rectangle C shown is used to detect the black pixel region within the area corresponding to the blob. If no black pixel region exists within the area corresponding to the blob, it can be determined that the tab is in a non-flipped state. If a black pixel region exists within the area corresponding to the blob, the location of the black pixel region can be seen... Figure 10 If the lower left triangle D is located within the rectangle C shown, then this embodiment of the application can generate the minimum bounding rectangle corresponding to the black pixel area. The position of the minimum bounding rectangle can be seen... Figure 10 The rectangle E shown is used to measure the length and width of the smallest bounding rectangle, and then the length-to-width ratio between the length and width is calculated. Finally, the size of the length-to-width ratio is used to determine whether the tab has folded.

[0086] It should be noted that if the length ratio is greater than the preset length ratio, the embodiment of this application will consider the tab to be in a folded state; if the length ratio is less than or equal to the preset length ratio, the embodiment of this application will consider the tab to be in a non-folded state.

[0087] It is understood that the aforementioned preset length ratio can be set in advance by a technician. The preset length ratio can be set to 5:1 or 4:1. This application embodiment does not specifically limit the value of the preset length ratio.

[0088] Additionally, it should be noted that regarding the placement of blobs in the tab region image, this embodiment can place the blob in the center of the tab region image. Since both the tab region image and the blob are rectangular, when the blob is placed in the center of the tab region image, the distance between the top border of the blob and the top border of the tab region image is equal to the distance between the bottom border of the blob and the bottom border of the tab region image. Similarly, the distance between the left border of the blob and the left border of the tab region image is equal to the distance between the right border of the blob and the right border of the tab region image. Besides placing the blob in the center of the tab region image, this embodiment can also place the blob slightly to the left of the center or slightly above the center. This embodiment does not specifically limit the placement of the blob in the tab region image.

[0089] In addition, such as Figure 11 As shown, Figure 11 This is a flowchart of a battery cell tab detection method provided in another embodiment of this application; regarding the detection of the tab region image by using the connected region method in step S300 above to obtain the tab folding state, it includes, but is not limited to, steps S810, S820 and S830.

[0090] Step S810: Perform region localization on the cell image to determine the separator region, and collect the grayscale value of the separator region using blob;

[0091] Step S820: Determine the grayscale threshold range used to characterize the tab in a non-folded state based on the grayscale value, wherein the grayscale value is within the grayscale threshold range;

[0092] Step S830: Detect the electrode region image based on the grayscale threshold range to obtain the electrode folding state.

[0093] In one embodiment, after determining the image of the tab region on one side of the diaphragm edge, this embodiment places a blob in the diaphragm region on the other side of the diaphragm edge. The location of the blob can be seen... Figure 12 The rectangular frame F shown is used to collect the grayscale value of the blob; then, based on the grayscale value, it is expanded to generate a grayscale threshold range to characterize the electrode in a non-folded state; finally, the electrode region image is detected based on the grayscale threshold range to obtain the folded state of the electrode.

[0094] It should be noted that if the pixel grayscale of certain areas in the electrode region image is identified to be outside the grayscale threshold range, such as abnormal white areas and abnormal black areas, then this embodiment of the application will consider the electrode to be in a folded state; if the pixel grayscale of certain areas in the electrode region image is identified to be within the grayscale threshold range, it is determined that the electrode is in a non-folded state.

[0095] Additionally, it should be noted that regarding the above-mentioned method of collecting gray values ​​of the diaphragm region through blob, the embodiments of this application can calculate the average gray value of all pixels in the blob as the gray value, or divide the blob into multiple regions and then select the average of the maximum gray values ​​of all regions as the gray value, or other gray value calculation methods. The embodiments of this application do not specifically limit the gray value calculation method.

[0096] It is worth noting that, regarding the aforementioned method of determining the grayscale threshold range for characterizing the tab in a non-flipped state based on grayscale values, the grayscale threshold range can be obtained by extending the grayscale value by the same range on both sides of the numerical value, and the midpoint of the grayscale threshold range corresponds to the grayscale value. Besides the method where the midpoint of the grayscale threshold range corresponds to the grayscale value, embodiments of this application can also obtain the grayscale threshold range by extending the grayscale value by different ranges on both sides of the numerical value, in which case the midpoint of the grayscale threshold range is not the grayscale value.

[0097] Based on the battery tab detection methods of the above embodiments, the following presents various embodiments of the controller and computer-readable storage medium of this application.

[0098] Additionally, one embodiment of this application provides a controller comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor.

[0099] The processor and memory can be connected via a bus or other means.

[0100] It should be noted that the controller in this embodiment may include, for example: Figure 1 The processor and memory in the illustrated embodiment belong to the same patent concept, and therefore have the same implementation principle and beneficial effects, which will not be described in detail here.

[0101] The non-transient software program and instructions required to implement the battery cell tab detection method of the above embodiments are stored in memory. When executed by the processor, the battery cell tab detection method of the above embodiments is executed.

[0102] According to the technical solution of this application embodiment, after the tab is smoothed, the folding situation of the tab during the core making process can be known in a timely manner through image acquisition, area positioning and connected area methods. If the tab is found to be folded, the technicians can stop the core making process in time and solve the tab folding problem in time, thereby ensuring the normal production and the yield rate of the battery.

[0103] It is worth noting that since the controller of this application embodiment can execute the cell tab detection method of the above embodiments, the specific implementation method and technical effect of the controller of this application embodiment can refer to the specific implementation method and technical effect of the cell tab detection method of any of the above embodiments.

[0104] Furthermore, one embodiment of this application provides a computer-readable storage medium storing computer-executable instructions for performing the aforementioned cell tab detection method. Exemplarily, the above-described method is executed... Figures 2 to 4 , Figure 7 , Figure 9 and Figure 11 The methods and steps in the text.

[0105] According to the technical solution of this application embodiment, after the tab is smoothed, the folding situation of the tab during the core making process can be known in a timely manner through image acquisition, area positioning and connected area methods. If the tab is found to be folded, the technicians can stop the core making process in time and solve the tab folding problem in time, thereby ensuring the normal production and the yield rate of the battery.

[0106] It is worth noting that since the computer-readable storage medium of this application embodiment can implement the cell tab detection method of the above embodiments, the specific implementation method and technical effect of the computer-readable storage medium of this application embodiment can refer to the specific implementation method and technical effect of the cell tab detection method of any of the above embodiments.

[0107] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically include computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0108] The above provides a detailed description of the preferred embodiments of this application. However, this application is not limited to the above-described embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this application. All such equivalent modifications or substitutions are included within the scope defined by the claims of this application.

Claims

1. A method for detecting battery cell tabs, characterized in that, include: Acquire images of the battery cells; The edge detection method is used to locate the region of the battery cell image to obtain the position of the membrane edge. Based on the edge position of the diaphragm, the connected region method is used to locate the cell image and determine the tab region image. The connected component method is used to detect the image of the electrode region to obtain the folding state of the electrode; The step of using a connected component method to detect the electrode region image and obtain the electrode folding state includes: The cell image is used to locate the separator area, and the grayscale value of the separator area is collected by blob. Based on the grayscale value, a grayscale threshold range for characterizing the tab in a non-folded state is determined by expanding the grayscale value to the left by a first preset range and to the right by a second preset range, wherein the grayscale value is located within the grayscale threshold range; The electrode region image is detected based on the grayscale threshold range to obtain the electrode folding state.

2. The method for detecting battery cell tabs according to claim 1, characterized in that, The acquisition of the battery cell image includes: Get the number of winding layers or stacked layers; When the number of winding layers or the number of stacked layers is increased by one, an image sensor is used to take a picture of the battery cell to obtain an image of the battery cell.

3. The method for detecting battery cell tabs according to claim 1, characterized in that, The detection of the electrode region image based on the grayscale threshold range to obtain the electrode folding state includes at least one of the following: Identify the pixel grayscale in the image of the electrode region; when the pixel grayscale is outside the grayscale threshold range, determine that the electrode is in a folded state. Identify the pixel grayscale in the image of the electrode region, and determine that the electrode is in a non-folded state when the pixel grayscale is within the grayscale threshold range.

4. A computer-readable storage medium, characterized in that, The device stores computer-executable instructions for performing the cell tab detection method as described in any one of claims 1 to 3.

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