Welding quality determination method, device, equipment, storage medium and program product
By acquiring images of the solder area and misalignment information of the electrode tab, and combining multiple coefficients to correct the solder area, the accuracy and applicability issues of welding quality inspection in existing technologies are solved, and high-accuracy welding quality judgment is achieved in multiple scenarios.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHONGQING JINKANG NEW ENERGY VEHICLE CO LTD
- Filing Date
- 2026-02-11
- Publication Date
- 2026-06-16
AI Technical Summary
In existing technologies, welding quality determination methods can only address insufficient effective solder area caused by electrode bending, and cannot effectively detect welding quality problems caused by incomplete soldering or no soldering. The accuracy is low and the application scenarios are limited.
By acquiring images of the solder area and misalignment information of the electrode tab, and combining the material compensation coefficient, energy attenuation coefficient, and thickness coefficient, the actual solder area of the electrode tab is determined and compared with the preset effective solder area to judge the welding quality.
It improves the accuracy of welding quality information and can be applied to various welding quality problem scenarios, including insufficient effective weld area caused by bent electrode tabs, poor welding, or no welding.
Smart Images
Figure CN122222908A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of battery technology, and in particular to a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for determining welding quality. Background Technology
[0002] The tab is a component of a battery, and the welding quality of the tab directly affects the battery's performance. When there are problems with the welding quality of the tab, the battery may experience serious safety issues.
[0003] In existing technologies, most methods involve obtaining the height information of the solder joints on the electrode tabs and using this information to determine the welding quality of the electrode tabs.
[0004] However, existing methods can only identify welding quality problems caused by insufficient effective solder area due to electrode bending, which has the disadvantages of limited application scenarios and low accuracy. Summary of the Invention
[0005] Therefore, it is necessary to provide a welding quality determination method, apparatus, computer equipment, computer-readable storage medium, and computer program product that can adapt to multiple scenarios and has high accuracy in addressing the above-mentioned technical problems.
[0006] In a first aspect, this application provides a method for determining welding quality, including:
[0007] Obtain an image of the solder area of the target battery's tabs, and obtain information on the tab misalignment of the target battery's tabs;
[0008] The actual solder area of the target battery's tabs is determined based on the solder area image and tab misalignment information.
[0009] The welding quality information of the target battery's tabs is determined based on the actual solder area and the preset effective solder area. This welding quality information is used to indicate whether there are any quality problems with the target battery's tabs.
[0010] In one embodiment, obtaining tab misalignment information of the target battery includes: obtaining the axial offset value of the target battery tab; obtaining the winding needle tension value of the winding equipment during the winding process of the target battery; obtaining the thickness fluctuation data of the target battery electrode during the winding process; and determining the tab misalignment information based on the axial offset value, the winding needle tension value, and the thickness fluctuation data.
[0011] In one embodiment, determining the actual solder area of the target battery's tab based on the solder area image and tab misalignment information includes: determining the initial solder area of the target battery's tab based on the solder area image; and determining the actual solder area of the target battery's tab based on the initial solder area and tab misalignment information.
[0012] In one embodiment, determining the initial solder area of the tab of the target battery based on the solder area image includes: performing image fusion processing on the solder area image to obtain a fused image; and performing mesh division processing on the fused image to determine the initial solder area of the tab of the target battery.
[0013] In one embodiment, determining the actual solder area of the target battery's tab based on the initial solder area and tab misalignment information includes: obtaining the material compensation coefficient, energy decay coefficient, and thickness coefficient of the target battery's tab; and determining the actual solder area of the target battery's tab based on the material compensation coefficient, energy decay coefficient, thickness coefficient, initial solder area, and tab misalignment information.
[0014] In one embodiment, acquiring an image of the solder area of the electrode tab of the target battery includes: using a ring light source device and multiple image acquisition devices to acquire images of the solder area of the electrode tab of the target battery from different preset viewing angles.
[0015] Secondly, this application also provides a welding quality determination device, comprising:
[0016] The acquisition module is used to acquire images of the solder area of the target battery's tabs and to acquire information on the misalignment of the target battery's tabs.
[0017] The first determining module is used to determine the actual solder area of the target battery's tabs based on the solder area image and tab misalignment information.
[0018] The second determining module is used to determine the welding quality information of the target battery's tabs based on the actual solder area and the preset effective solder area. The welding quality information is used to indicate whether there are quality problems with the target battery's tabs.
[0019] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method described in any of the embodiments of the first aspect above.
[0020] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in any of the embodiments of the first aspect above.
[0021] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the method described in any of the embodiments of the first aspect above.
[0022] The aforementioned welding quality determination method, apparatus, computer equipment, computer-readable storage medium, and computer program product first acquire an image of the solder area of the target battery's tab and obtain information on the tab misalignment. Then, based on the solder area image and the tab misalignment information, the actual solder area of the target battery's tab is determined. Next, the welding quality information of the target battery's tab is determined based on the actual solder area and a preset effective solder area. This welding quality information indicates whether there are quality problems with the target battery's tab. The welding quality determination method provided in this application, because it determines the welding quality information of the target battery's tab through the actual solder area, is applicable not only to scenarios where the effective solder area is insufficient due to tab bending but also to other scenarios where the effective solder area is insufficient. Therefore, it effectively improves the accuracy of welding quality information. Attached Figure Description
[0023] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0024] Figure 1 This is a diagram illustrating the application environment of a welding quality determination method in one embodiment.
[0025] Figure 2 This is a flowchart illustrating a method for obtaining eyepiece misalignment information in one embodiment;
[0026] Figure 3 This is a flowchart illustrating a method for determining the actual solder area of a tab in one embodiment.
[0027] Figure 4 This is a flowchart illustrating a method for determining the initial solder area of a tab in one embodiment.
[0028] Figure 5 This is a flowchart illustrating a method for determining the actual solder area of a tab in another embodiment;
[0029] Figure 6 This is a flowchart illustrating the welding quality determination method in another embodiment;
[0030] Figure 7 This is a structural block diagram of a welding quality determination device in one embodiment;
[0031] Figure 8 This is an internal structural diagram of a computer device in one embodiment;
[0032] Figure 9 This is a diagram of the internal structure of a computer device in another embodiment. Detailed Implementation
[0033] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0034] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.
[0035] The tab is a component of a battery, and the welding quality of the tab directly affects the battery's performance. When there are problems with the welding quality of the tab, the battery may experience serious safety issues.
[0036] In existing technologies, most methods involve obtaining the height information of the solder joints on the electrode tabs and using this information to determine the welding quality of the electrode tabs.
[0037] However, existing methods can only identify welding quality problems caused by insufficient effective solder area due to electrode bending, but cannot identify welding quality problems caused by insufficient effective solder area due to cold solder joints or no soldering. Therefore, they have the problem of limited application scenarios and low accuracy.
[0038] In view of this, this application provides a method for determining welding quality. First, an image of the solder area of the target battery's tab is acquired, and information on tab misalignment is obtained. Then, the actual solder area of the target battery's tab is determined based on the solder area image and the tab misalignment information. Next, welding quality information of the target battery's tab is determined based on the actual solder area and a preset effective solder area. This welding quality information indicates whether there are quality problems with the target battery's tab. Since the welding quality information of the target battery's tab is determined by the actual solder area of the target battery's tab, it is applicable not only to scenarios where the effective solder area is insufficient due to tab bending, but also to other scenarios where the effective solder area is insufficient. Therefore, it effectively improves the accuracy of welding quality information.
[0039] The welding quality determination method provided in this application can be implemented by a computer device, which can be a terminal or a server.
[0040] In one exemplary embodiment, such as Figure 1 As shown, a method for determining welding quality is provided, which includes the following steps:
[0041] Step 101: Obtain an image of the solder area of the target battery's tabs and obtain information on the tab misalignment of the target battery's tabs.
[0042] Optionally, the target battery can be a power battery for new energy vehicles.
[0043] The solder mark area of the target battery's tab refers to the area where the solder marks are formed after the target battery's tab is welded to the connecting component. A solder mark area image is an image of the solder mark area, which can be used to characterize information such as the melting coverage, morphological characteristics, and distribution of solder on the tab surface during the welding process.
[0044] The tab misalignment information can be used to indicate the spatial positional deviation of the target battery's tab relative to a preset welding reference position before or during welding. The preset welding reference position can be any one of the following: the preset mounting contour line of the tab, the welding positioning mark line of the connecting component, or the positioning reference surface of the welding fixture. For example, the tab misalignment information can include misalignment parameters of the tab in multiple spatial dimensions, such as horizontal translational misalignment distance, vertical translational misalignment distance, rotational misalignment angle of the tab relative to the preset welding reference position, and tilting misalignment angle of the tab.
[0045] In some exemplary embodiments, a computer device may acquire an image of the solder area of the tabs of a target battery.
[0046] Specifically, computer equipment can use image acquisition devices to obtain images of the solder areas of the electrode tabs of the target battery.
[0047] Furthermore, the computer equipment can also obtain information about the misalignment of the electrodes of the target battery.
[0048] Specifically, computer equipment can use image acquisition devices to photograph the electrode tab and the preset welding reference mark, and use image algorithms to calculate the deviation between the actual position of the electrode tab and the preset welding reference position to obtain electrode tab misalignment information.
[0049] Computer equipment can also scan the edge contour of the tab using a laser displacement sensor to determine tab misalignment information based on the scan data and a standard tab coordinate model.
[0050] Step 102: Determine the actual solder area of the target battery's tabs based on the solder area image and tab misalignment information.
[0051] Optionally, the actual solder area can be used to indicate the area of solder fusion coverage between the tab and the connecting component.
[0052] In some exemplary embodiments, after acquiring an image of the solder area of the tab of the target battery and acquiring information on the tab misalignment of the tab of the target battery, the computer device can determine the actual solder area of the tab of the target battery based on the solder area image and the tab misalignment information.
[0053] Specifically, the computer equipment can input the solder area image and tab misalignment information into a pre-trained actual solder area determination model, so that the actual solder area determination model can output the actual solder area of the target battery's tabs based on the solder area image and tab misalignment information.
[0054] Step 103: Determine the welding quality information of the target battery's tabs based on the actual solder area and the preset effective solder area.
[0055] Optionally, the preset effective solder area can be pre-set by technicians according to actual needs. For example, the preset effective solder area can be an area threshold or range determined by technicians based on process conditions. These process conditions may include the material and thickness of the tab, the structural dimensions of the connecting components, and the welding method. For instance, for a 1.0mm thick copper tab using laser welding, technicians can preset the effective solder area to 60% of the designed area of the tab's welding surface.
[0056] Welding quality information can be used to indicate whether there are quality problems with the tabs of the target battery. For example, welding quality information can specifically be used to indicate whether there are quality problems with the tabs of the target battery due to poor soldering or lack of soldering.
[0057] In some exemplary embodiments, after determining the actual solder area of the target battery's tabs based on the solder area image and tab misalignment information, the computer device can determine the welding quality information of the target battery's tabs based on the actual solder area and the preset effective solder area.
[0058] Specifically, the computer equipment can determine whether the actual solder area is greater than or equal to the preset effective solder area. If so, it can be determined that the welding quality information of the target battery's tab is that there is no welding quality problem. If not, it can be determined that the welding quality information of the target battery's tab is that there is a welding quality problem.
[0059] The aforementioned welding quality determination method first acquires an image of the solder area of the target battery's tab and obtains information on the tab misalignment. Then, based on the solder area image and the tab misalignment information, it determines the actual solder area of the target battery's tab. Next, it determines the welding quality information of the target battery's tab based on the actual solder area and a preset effective solder area. This welding quality information indicates whether there are quality problems with the target battery's tab. The welding quality determination method provided in this application, because it determines the welding quality information of the target battery's tab through the actual solder area, is applicable not only to scenarios where the effective solder area is insufficient due to tab bending, but also to other scenarios where the effective solder area is insufficient. Therefore, it effectively improves the accuracy of the welding quality information.
[0060] In one exemplary embodiment, acquiring an image of the solder area of the electrode tab of the target battery includes: using a ring light source device and multiple image acquisition devices to acquire images of the solder area of the electrode tab of the target battery from different preset viewing angles.
[0061] Optionally, the ring light source device can be a ring LED (Light-Emitting Diode).
[0062] The image acquisition device can be a CCD (Charge-Coupled Device) camera. For example, the number of image acquisition devices can be pre-set by technicians according to actual needs; optionally, the number of image acquisition devices can be four.
[0063] The preset viewing angle can be pre-set by technicians according to actual needs. For example, the preset viewing angle may include a first preset viewing angle, a second preset viewing angle, a third preset viewing angle, and a fourth preset viewing angle, wherein the second preset viewing angle is larger than the first preset viewing angle, the third preset viewing angle is larger than the second preset viewing angle, and the fourth preset viewing angle is larger than the third preset viewing angle. For instance, the first preset viewing angle can be 0 degrees, the second preset viewing angle can be 30 degrees, the third preset viewing angle can be 60 degrees, and the fourth preset viewing angle can be 90 degrees.
[0064] In some exemplary embodiments, the computer device can use a ring light source device and multiple image acquisition devices to acquire images of the solder area of the electrode tab of the target battery from different preset viewing angles.
[0065] Specifically, multiple image acquisition devices can be set up in a ring-shaped distribution with the center of the target battery tab solder area as the reference, and the angle between the lens optical axis of each image acquisition device and the surface of the solder area corresponds to different preset viewing angles.
[0066] As mentioned above, the first preset viewing angle can be 0 degrees, the second preset viewing angle can be 30 degrees, the third preset viewing angle can be 60 degrees, and the fourth preset viewing angle can be 90 degrees. The image acquisition device corresponding to the first preset viewing angle can be set at a vertical position directly above the solder area to acquire a full-coverage image of the solder plane; the image acquisition devices corresponding to the second and third preset viewing angles can be tilted horizontally to acquire the edge contour and side fusion state of the solder, respectively; the image acquisition device corresponding to the fourth preset viewing angle can be set horizontally to the side of the solder area to acquire the solder thickness and lateral extension images.
[0067] In an optional embodiment of this application, the installation height and focal length of multiple image acquisition devices are calibrated to ensure that the solder area is clearly imaged without distortion from different angles, and the ring LED light source is arranged around the solder area to provide uniform diffuse illumination and eliminate reflection and shadow interference.
[0068] In one exemplary embodiment, such as Figure 2 As shown, obtaining the tab misalignment information of the target battery includes the following steps:
[0069] Step 201: Obtain the axial offset value of the target battery's tabs.
[0070] Optionally, the axial offset value refers to the set of linear positional deviations of each tab of the target battery along its preset reference axis, which is the central axis of the tab design length direction or the installation positioning axis.
[0071] In some exemplary embodiments, the computer device may acquire the axial offset value of the tabs of the target battery.
[0072] Specifically, computer equipment can obtain the axial offset value of the tabs of the target battery using a high-precision line laser rangefinder. The high-precision line laser rangefinder is deployed at the end of the winding process and scans along the thickness direction of the tab group, which is composed of the individual tabs of the target battery.
[0073] Step 202: Obtain the tension value of the winding needle of the winding equipment during the winding process of the target battery.
[0074] Optionally, the winding equipment can be a winding machine.
[0075] In some exemplary embodiments, a computer device can acquire the needle tension value of the winding equipment during the winding process of the target battery.
[0076] Specifically, computer equipment can obtain the needle tension value in real time through the encoder of the winding equipment.
[0077] Step 203: Obtain the thickness fluctuation data of the target battery electrode during the winding process.
[0078] Optionally, thickness fluctuation data refers to a set of data on the dynamic changes in the thickness of the target battery electrode during the cell winding process. It can be used to characterize the stability of the electrode winding process and the uniformity of the electrode itself.
[0079] In some exemplary embodiments, a computer device can acquire thickness fluctuation data of the target battery's electrodes during the winding process.
[0080] Specifically, computer equipment can utilize online thickness detection equipment to obtain thickness fluctuation data of the target battery's electrodes during the winding process.
[0081] Step 204: Determine the tab misalignment information based on the axial offset value, the coil tension value, and the thickness fluctuation data.
[0082] In some exemplary embodiments, after acquiring axial offset values, needle tension values, and thickness fluctuation data, the computer device can determine tab misalignment information based on the axial offset values, needle tension values, and thickness fluctuation data.
[0083] Specifically, the electrode misalignment information can be represented as The electrode misalignment information can be determined based on the axial offset value, the coil tension value, and the thickness fluctuation data, as shown in Equation 1:
[0084] (1)
[0085] in, , , and The preset weight coefficients can be obtained through training and optimization using historical data to ensure a strong correlation with the actual misalignment state. The maximum offset value can be determined based on the axial offset value; F is the needle coil tension value. This is thickness fluctuation data.
[0086] In one exemplary embodiment, such as Figure 3 As shown, determining the actual solder area of the target battery's tabs based on the solder area image and tab misalignment information includes the following steps:
[0087] Step 301: Determine the initial solder area of the tabs of the target battery based on the solder area image.
[0088] For example, the initial solder area can include the actual solder area and the invalid solder area, and the initial solder area = actual solder area + invalid solder area. The invalid solder area corresponds to the area within the solder area where there are no effective fusion connections, such as cold solder joints, missing solder joints, solder spatter residue, or excessive solder overflow. The actual solder area is the area where, after removing the aforementioned invalid areas, the solder effectively fuses with the electrode and connecting components.
[0089] In some exemplary embodiments, after acquiring an image of the solder area, the computer device can determine the initial solder area of the tab of the target battery based on the solder area image.
[0090] Specifically, the computer equipment can input the image of the solder area into a pre-trained image analysis model to obtain the initial solder area of the target battery's tabs output by the image analysis model.
[0091] Step 302: Determine the actual solder area of the target battery's tabs based on the initial solder area and tab misalignment information.
[0092] In some exemplary embodiments, after determining the initial solder area of the tab of the target battery based on the solder area image, the computer device can determine the actual solder area of the tab of the target battery based on the initial solder area and the tab misalignment information.
[0093] Specifically, computer equipment can correct the initial solder area based on the tab misalignment information to obtain the actual solder area of the target battery's tabs.
[0094] In one exemplary embodiment, such as Figure 4 As shown, determining the initial solder area of the electrode tab of the target battery based on the solder area image includes the following steps:
[0095] Step 401: Perform image fusion processing on the solder area image to obtain a fused image.
[0096] In some exemplary embodiments, after acquiring an image of the solder area, the computer device can perform image fusion processing on the solder area image to obtain a fused image.
[0097] Specifically, the solder area image includes multiple images from different preset viewpoints. These images can include frontal view, side view, oblique top view, and top view of the electrode solder area. Therefore, a fused image can be obtained by performing image fusion processing on the multiple images from different preset viewpoints.
[0098] For example, firstly, image preprocessing is performed on multiple images from different preset viewpoints, which may include noise filtering, geometric correction, and grayscale enhancement; secondly, feature extraction processing is performed on multiple images from different preset viewpoints to obtain feature information such as edge contours, texture features, and pixel grayscale thresholds of the solder area in the multiple images from different preset viewpoints; thirdly, a weighted fusion algorithm can be used to perform feature fusion processing on the features in the multiple images from different preset viewpoints; finally, the fused feature information is mapped to a complete image to obtain the fused image.
[0099] Step 402: Perform mesh division processing on the fused image to determine the initial solder area of the electrode tab of the target battery.
[0100] In some exemplary embodiments, after obtaining the fused image, the computer device can perform mesh generation on the fused image to determine the initial solder area of the tabs of the target battery.
[0101] Specifically, since the solder area of the tab may be irregular in shape, the initial solder area of the target battery's tab can be determined by performing mesh division processing on the fused image.
[0102] For example, firstly, based on the actual size of the solder area and the required measurement accuracy, determine the grid size of the fused image. Assume the actual size of the solder area is 10mm × 5mm, and the required measurement accuracy is... Then you can set the actual area corresponding to a single grid as Secondly, the pixel coordinate system of the fused image is mapped to the actual physical coordinate system of the tab solder area to ensure that the grid size corresponds one-to-one with the actual area. Thirdly, all grids in the fused image are traversed to determine whether each grid is covered by the solder area. The coverage criterion can be whether the proportion of solder pixels in the grid is higher than a preset proportion threshold. Finally, the total number of grids covered by the solder area is counted, and the total number of grids is multiplied by the actual area corresponding to a single grid to obtain the initial solder area.
[0103] In one exemplary embodiment, such as Figure 5 As shown, determining the actual solder area of the target battery's tabs based on the initial solder area and tab misalignment information includes the following steps:
[0104] Step 501: Obtain the material compensation coefficient, energy decay coefficient, and thickness coefficient of the target battery's tabs.
[0105] Optionally, the material compensation coefficient can be a material compensation factor. For example, when the tab material is copper foil, the material compensation factor can be 0.87-0.93, and when the tab material is aluminum foil, the material compensation factor can be 0.84-0.89.
[0106] The energy attenuation coefficient, also known as the ultrasonic welding energy attenuation coefficient, is a quantitative indicator of the attenuation of welding energy as it propagates through the tab material. The tab thickness coefficient refers to the thickness factor related to the number of tab layers.
[0107] In some exemplary embodiments, the computer device may obtain material compensation coefficients, energy decay coefficients, and thickness coefficients of the tabs of the target battery.
[0108] Specifically, for the material compensation coefficient, the computer equipment can determine the material compensation coefficient based on the tab material; for the energy decay coefficient, it can be determined based on the welding process type; for the thickness coefficient of the target battery's tab, it can be determined based on the number of tab layers, and the thickness coefficient can be expressed as n. The thickness coefficient determined based on the number of tab layers can be shown in Equation 2:
[0109] (2)
[0110] Where N is the number of layers of the tab.
[0111] Step 502: Determine the actual solder area of the target battery's tabs based on the material compensation coefficient, energy decay coefficient, thickness coefficient, initial solder area, and tab misalignment information.
[0112] In some exemplary embodiments, after obtaining the material compensation coefficient, energy decay coefficient, and thickness coefficient of the target battery's tabs, the computer device can determine the actual solder area of the target battery's tabs based on the material compensation coefficient, energy decay coefficient, thickness coefficient, initial solder area, and tab misalignment information.
[0113] Specifically, the actual solder area can be expressed as The actual solder area of the target battery's tabs can be determined based on the material compensation coefficient, energy decay coefficient, thickness coefficient, initial solder area, and tab misalignment information, as shown in Equation 3:
[0114] (3)
[0115] in, This represents the initial solder pad area. This is the material compensation coefficient; Information regarding electrode misalignment; is the energy attenuation coefficient; n is the thickness coefficient.
[0116] In one exemplary embodiment, such as Figure 6 As shown, another method for determining weld quality is provided, which includes the following steps:
[0117] Step 601: Using a ring light source device and multiple image acquisition devices, acquire images of the solder area of the electrode tabs of the target battery under different preset viewing angles.
[0118] Step 602: Obtain the axial offset value of the electrode tab of the target battery; obtain the winding needle tension value of the winding equipment during the winding process of the target battery; obtain the thickness fluctuation data of the electrode sheet of the target battery during the winding process; determine the electrode tab misalignment information based on the axial offset value, winding needle tension value and thickness fluctuation data;
[0119] Step 603: Perform image fusion processing on the solder area image to obtain a fused image; perform mesh division processing on the fused image to determine the initial solder area of the electrode tab of the target battery; obtain the material compensation coefficient, energy decay coefficient and thickness coefficient of the electrode tab of the target battery; determine the actual solder area of the electrode tab of the target battery based on the material compensation coefficient, energy decay coefficient, thickness coefficient, initial solder area and electrode misalignment information.
[0120] Step 604: Determine the welding quality information of the target battery's tabs based on the actual solder area and the preset effective solder area. The welding quality information is used to indicate whether there are any quality problems with the target battery's tabs.
[0121] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.
[0122] Based on the same inventive concept, this application also provides a welding quality determination apparatus for implementing the welding quality determination method described above. The solution provided by this apparatus is similar to the implementation scheme described in the above method; therefore, the specific limitations in one or more embodiments of the welding quality determination apparatus provided below can be found in the limitations of the welding quality determination method described above, and will not be repeated here.
[0123] In one exemplary embodiment, such as Figure 7As shown, a welding quality determination device 700 is provided, including: an acquisition module 701, a first determination module 702, and a second determination module 703, wherein:
[0124] The acquisition module 701 is used to acquire an image of the solder area of the electrode tab of the target battery and to acquire the electrode misalignment information of the electrode tab of the target battery.
[0125] The first determining module 702 is used to determine the actual solder area of the electrode tab of the target battery based on the solder area image and the electrode misalignment information.
[0126] The second determining module 703 is used to determine the welding quality information of the target battery's tabs based on the actual solder area and the preset effective solder area. The welding quality information is used to indicate whether there are quality problems with the target battery's tabs.
[0127] In one embodiment, the acquisition module 701 is specifically used to acquire the axial offset value of the tab of the target battery; acquire the winding needle tension value of the winding equipment during the winding process of the target battery; acquire the thickness fluctuation data of the electrode sheet of the target battery during the winding process; and determine the tab misalignment information based on the axial offset value, the winding needle tension value and the thickness fluctuation data.
[0128] In one embodiment, the first determining module 702 is specifically used to determine the initial solder area of the tab of the target battery based on the solder area image; and to determine the actual solder area of the tab of the target battery based on the initial solder area and the tab misalignment information.
[0129] In one embodiment, the first determining module 702 is specifically used to perform image fusion processing on the solder area image to obtain a fused image; and to perform grid division processing on the fused image to determine the initial solder area of the electrode tab of the target battery.
[0130] In one embodiment, the first determining module 702 is specifically used to obtain the material compensation coefficient, the energy decay coefficient, and the thickness coefficient of the tab of the target battery; and to determine the actual solder area of the tab of the target battery based on the material compensation coefficient, the energy decay coefficient, the thickness coefficient, the initial solder area, and the tab misalignment information.
[0131] In one embodiment, the acquisition module 701 is specifically used to acquire images of the solder area of the electrode tab of the target battery under different preset viewing angles using a ring light source device and multiple image acquisition devices.
[0132] Each module in the aforementioned welding quality determination device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.
[0133] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 8 As shown, this computer device includes a processor, memory, input / output interfaces (I / O), and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When executed by the processor, the computer program implements a welding quality determination method.
[0134] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 9 As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When executed by the processor, the computer program implements a welding quality determination method.
[0135] Those skilled in the art will understand that Figure 8 and Figure 9The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.
[0136] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:
[0137] Obtain an image of the solder area of the target battery's tabs, and obtain information on the tab misalignment of the target battery's tabs;
[0138] The actual solder area of the target battery's tabs is determined based on the solder area image and tab misalignment information.
[0139] The welding quality information of the target battery's tabs is determined based on the actual solder area and the preset effective solder area. This welding quality information is used to indicate whether there are any quality problems with the target battery's tabs.
[0140] In one embodiment, when the processor executes the computer program, it further performs the following steps: obtaining the axial offset value of the tab of the target battery; obtaining the winding needle tension value of the winding equipment during the winding process of the target battery; obtaining the thickness fluctuation data of the electrode of the target battery during the winding process; and determining the tab misalignment information based on the axial offset value, the winding needle tension value, and the thickness fluctuation data.
[0141] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining the initial solder area of the tab of the target battery based on the solder area image; and determining the actual solder area of the tab of the target battery based on the initial solder area and the tab misalignment information.
[0142] In one embodiment, when the processor executes the computer program, it further performs the following steps: performing image fusion processing on the solder area image to obtain a fused image; performing mesh division processing on the fused image to determine the initial solder area of the tab of the target battery.
[0143] In one embodiment, when the processor executes the computer program, it further performs the following steps: obtaining the material compensation coefficient, the energy decay coefficient, and the thickness coefficient of the tab of the target battery; and determining the actual solder area of the tab of the target battery based on the material compensation coefficient, the energy decay coefficient, the thickness coefficient, the initial solder area, and the tab misalignment information.
[0144] In one embodiment, when the processor executes the computer program, it also performs the following steps: using a ring light source device and multiple image acquisition devices, it acquires images of the solder area of the electrode tab of the target battery from different preset viewing angles.
[0145] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:
[0146] Obtain an image of the solder area of the target battery's tabs, and obtain information on the tab misalignment of the target battery's tabs;
[0147] The actual solder area of the target battery's tabs is determined based on the solder area image and tab misalignment information.
[0148] The welding quality information of the target battery's tabs is determined based on the actual solder area and the preset effective solder area. This welding quality information is used to indicate whether there are any quality problems with the target battery's tabs.
[0149] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: obtaining the axial offset value of the tab of the target battery; obtaining the winding needle tension value of the winding equipment during the winding process of the target battery; obtaining the thickness fluctuation data of the electrode of the target battery during the winding process; and determining the tab misalignment information based on the axial offset value, the winding needle tension value, and the thickness fluctuation data.
[0150] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the initial solder area of the tab of the target battery based on the solder area image; and determining the actual solder area of the tab of the target battery based on the initial solder area and the tab misalignment information.
[0151] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: performing image fusion processing on the solder area image to obtain a fused image; performing mesh division processing on the fused image to determine the initial solder area of the tab of the target battery.
[0152] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: obtaining the material compensation coefficient, the energy decay coefficient, and the thickness coefficient of the tab of the target battery; and determining the actual solder area of the tab of the target battery based on the material compensation coefficient, the energy decay coefficient, the thickness coefficient, the initial solder area, and the tab misalignment information.
[0153] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: using a ring light source device and multiple image acquisition devices, it acquires images of the solder area of the electrode tab of the target battery under different preset viewing angles.
[0154] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:
[0155] Obtain an image of the solder area of the target battery's tabs, and obtain information on the tab misalignment of the target battery's tabs;
[0156] The actual solder area of the target battery's tabs is determined based on the solder area image and tab misalignment information.
[0157] The welding quality information of the target battery's tabs is determined based on the actual solder area and the preset effective solder area. This welding quality information is used to indicate whether there are any quality problems with the target battery's tabs.
[0158] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: obtaining the axial offset value of the tab of the target battery; obtaining the winding needle tension value of the winding equipment during the winding process of the target battery; obtaining the thickness fluctuation data of the electrode of the target battery during the winding process; and determining the tab misalignment information based on the axial offset value, the winding needle tension value, and the thickness fluctuation data.
[0159] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the initial solder area of the tab of the target battery based on the solder area image; and determining the actual solder area of the tab of the target battery based on the initial solder area and the tab misalignment information.
[0160] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: performing image fusion processing on the solder area image to obtain a fused image; performing mesh division processing on the fused image to determine the initial solder area of the tab of the target battery.
[0161] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: obtaining the material compensation coefficient, the energy decay coefficient, and the thickness coefficient of the tab of the target battery; and determining the actual solder area of the tab of the target battery based on the material compensation coefficient, the energy decay coefficient, the thickness coefficient, the initial solder area, and the tab misalignment information.
[0162] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: using a ring light source device and multiple image acquisition devices, it acquires images of the solder area of the electrode tab of the target battery under different preset viewing angles.
[0163] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. 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), magnetic 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 take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.
[0164] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.
[0165] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.
Claims
1. A method for determining welding quality, characterized in that, The method includes: Obtain an image of the solder area of the target battery's tabs, and obtain information on the tab misalignment of the target battery's tabs; The actual solder area of the electrode tabs of the target battery is determined based on the solder area image and the electrode misalignment information. The welding quality information of the target battery's tabs is determined based on the actual solder area and the preset effective solder area. The welding quality information is used to indicate whether there are quality problems with the target battery's tabs.
2. The method according to claim 1, characterized in that, The step of obtaining the tab misalignment information of the target battery includes: Obtain the axial offset value of the tabs of the target battery; Obtain the tension value of the winding needle of the winding equipment during the winding process of the target battery; Obtain thickness fluctuation data of the electrode sheet of the target battery during the winding process; The tab misalignment information is determined based on the axial offset value, the needle tension value, and the thickness fluctuation data.
3. The method according to claim 1, characterized in that, Determining the actual solder area of the electrode tabs of the target battery based on the solder area image and the electrode misalignment information includes: The initial solder area of the tabs of the target battery is determined based on the solder area image. The actual solder area of the target battery's tabs is determined based on the initial solder area and the tab misalignment information.
4. The method according to claim 3, characterized in that, Determining the initial solder area of the electrode tab of the target battery based on the solder area image includes: The image of the solder area is subjected to image fusion processing to obtain a fused image; The fused image is divided into grids to determine the initial solder area of the tabs of the target battery.
5. The method according to claim 3, characterized in that, Determining the actual solder area of the target battery's tabs based on the initial solder area and the tab misalignment information includes: Obtain the material compensation coefficient, energy decay coefficient, and the thickness coefficient of the tabs of the target battery; The actual solder area of the target battery's tabs is determined based on the material compensation coefficient, the energy decay coefficient, the thickness coefficient, the initial solder area, and the tab misalignment information.
6. The method according to any one of claims 1 to 5, characterized in that, The process of acquiring the image of the solder area of the electrode tab of the target battery includes: Using a ring light source and multiple image acquisition devices, images of the solder area of the electrode tabs of the target battery are acquired from different preset viewing angles.
7. A welding quality determination device, characterized in that, The device includes: The acquisition module is used to acquire an image of the solder area of the electrode tab of the target battery and to acquire the electrode misalignment information of the electrode tab of the target battery. The first determining module is used to determine the actual solder area of the electrode tab of the target battery based on the solder area image and the electrode misalignment information; The second determining module is used to determine the welding quality information of the tab of the target battery based on the actual solder area and the preset effective solder area. The welding quality information is used to indicate whether there is a quality problem with the tab of the target battery.
8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.
10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.