Methods, equipment, and battery production lines for detecting weld penetration depth.

Abstract

This application relates to the field of battery technology, specifically to a method, apparatus, and battery production line for detecting weld penetration depth. The method for detecting weld penetration depth includes acquiring images of at least a portion of the weld between a sealing pin and a top cover plate; obtaining appearance parameters of the weld in the images; determining the weld penetration depth based on the appearance parameters; and determining that the weld penetration depth is qualified if it meets preset conditions. In the technical solution of this application, by acquiring images of at least a portion of the weld between the sealing pin and the top cover plate, obtaining appearance parameters of the weld in the images, determining the weld penetration depth based on the appearance parameters, and determining that the weld penetration depth is qualified if it meets preset conditions, the weld penetration depth can be detected through the appearance parameters of the weld without cutting the weld, thus improving the speed and efficiency of weld penetration depth detection.

Description

Technical Field

[0001] This application relates to the field of battery technology, specifically to a method, device, and battery production line for detecting the penetration depth of welds. Background Technology

[0002] With the increasing maturity of new energy technologies, new energy vehicles and other electrical equipment are gradually entering the public eye. The core technology of new energy vehicles lies in the battery device, and the safety and stability of the battery device directly determine the performance of the entire vehicle.

[0003] Battery devices typically seal the electrolyte filling port with sealing pins. After welding the sealing pins, the weld quality needs to be inspected to screen out substandard products. The weld penetration depth is usually measured using metallographic methods, but this method is time-consuming and inefficient. Therefore, a more efficient method is needed to measure the weld penetration depth. Summary of the Invention

[0004] In view of the above problems, this application proposes a method, apparatus, electrical equipment and storage medium for detecting the penetration depth of welds, so as to solve the problem of low detection efficiency of weld penetration depth in the prior art.

[0005] The first aspect of this application proposes a method for detecting the penetration depth of a weld, comprising:

[0006] Acquire images of at least a portion of the weld between the sealing nail and the top cover plate;

[0007] Obtain the appearance parameters of the weld in the image;

[0008] Determine the weld penetration depth based on appearance parameters;

[0009] The weld penetration depth is deemed qualified if it meets the preset conditions.

[0010] In the technical solution of the embodiments of this application, by acquiring images of at least part of the weld between the sealing nail and the top cover plate, the appearance parameters of the weld in the images are obtained, the weld penetration depth is determined based on the appearance parameters, and the weld penetration depth is determined to be qualified if the weld penetration depth meets the preset conditions. Thus, the weld penetration depth can be detected through the appearance parameters of the weld without cutting the weld, thereby improving the rapid detection of weld penetration depth and increasing detection efficiency.

[0011] In some embodiments, the weld seam includes scales; acquiring the appearance parameters of the weld seam in the image includes acquiring the detection size of the scales along a first direction, the detection size of the scales along a second direction, and the number of fingerprints detected on the scales, wherein the first direction is the welding direction of the weld seam, and the second direction is the depth direction of the weld seam.

[0012] The embodiments of this application, by acquiring the appearance parameters of the weld in the image, including the detection size of the scales along the first direction, the detection size of the scales along the second direction, and the detection number of scale fingerprints, can predict the weld penetration depth by using the detection size of the scales along the first direction, the detection size of the scales along the second direction, and the detection number of scale fingerprints, thus achieving accurate prediction of the weld penetration depth.

[0013] In some embodiments, determining the weld penetration depth based on appearance parameters includes determining the weld penetration depth based on the detection size of the scales along a first direction, the detection size of the scales along a second direction, the number of fingerprints detected on the scales, a first weighting percentage of the detection size of the scales along the first direction, a second weighting percentage of the detection size of the scales along the second direction, and a third weighting percentage of the number of fingerprints detected on the scales.

[0014] The embodiments of this application determine the weld penetration depth based on the detection dimensions of the scales along a first direction, the detection dimensions of the scales along a second direction, the number of detected scale fingerprints, a first weighting percentage of the detection dimensions of the scales along the first direction, a second weighting percentage of the detection dimensions of the scales along the second direction, and a third weighting percentage of the number of detected scale fingerprints. This allows for more accurate prediction of the weld penetration depth based on the weighting percentages of the detection dimensions of the scales along the first direction, the detection dimensions of the scales along the second direction, and the number of detected scale fingerprints, thereby improving the accuracy of weld penetration depth detection.

[0015] In some embodiments, acquiring the appearance parameters of the weld in the image further includes acquiring the detection dimensions of the scales along a third direction, wherein the third direction intersects with the first direction and the second direction, respectively.

[0016] The embodiments of this application further increase the factors affecting the weld penetration by including the detection dimensions of the scales along a third direction in the weld appearance parameters, thus enabling a more accurate prediction of the weld penetration.

[0017] In some embodiments, determining the weld penetration depth based on appearance parameters further includes determining the weld penetration depth based on the detection dimensions of the scales along a third direction and a fourth weighting of the detection dimensions of the scales along a third direction.

[0018] The embodiments of this application determine the weld penetration depth by adding a fourth weighting percentage based on the detection dimensions of the scales along a third direction and the detection dimensions of the scales along a third direction. This allows for accurate detection of the weld penetration depth based on the detection dimensions of the scales along a first direction, the detection dimensions of the scales along a second direction, the number of detected scale fingerprints, the detection dimensions of the scales along a third direction, the first weighting percentage of the detection dimensions of the scales along the first direction, the second weighting percentage of the detection dimensions of the scales along the second direction, the third weighting percentage of the number of detected scale fingerprints, and the fourth weighting percentage of the detection dimensions of the scales along a third direction. This improves the accuracy of judging the welding quality of the sealing nails of the battery device.

[0019] In some embodiments, the formula for determining the weld penetration depth is:

[0020] Where X is the weld penetration depth, K1 is the first weighting percentage of the scale size along the first direction, and H... 标 For a weld to have a standard penetration depth, the standard dimension of the scales along the first direction is H. 测 Let K1 be the detection size of the scale along the first direction, K2 be the second weighting percentage of the detection size of the scale along the second direction, and D be the detection size of the scale along the second direction. 标 For a weld to have a standard penetration depth, the standard dimension of the scales along the second direction is D. 测 K3 is the detection size of the scale along the second direction, and S is the third weighted proportion of the number of fingerprints detected on the scale. 标 S represents the standard number of scale fingerprints for a weld when the weld is at a standard penetration depth. 测 K is the number of fingerprints detected on the scales, K4 is the fourth weighting of the detection size of the scales along the third direction, and W is the number of fingerprints detected on the scales. 标 For the weld to be in a state of standard penetration depth, the standard dimensions of the scales along the third direction are: W 测 The measurement dimension of the scale along a third direction.

[0021] This application introduces a formula for weld penetration.

[0022] Then, the weld penetration depth can be accurately calculated based on these appearance parameters and their corresponding weight ratios, thus achieving accurate detection of the weld penetration depth.

[0023] In some embodiments, acquiring an image of at least a portion of the weld between the sealing pin and the top cover plate includes acquiring a first image of at least a portion of the weld between the sealing pin and the top cover plate from a first perspective; and acquiring a second image of at least a portion of the weld between the sealing pin and the top cover plate from a second perspective; wherein the first perspective and the second perspective intersect.

[0024] The embodiments of this application acquire a first image of at least a portion of the weld between the sealing nail and the top cover plate from a first perspective, and a second image of at least a portion of the weld between the sealing nail and the top cover plate from a second perspective; wherein, the first perspective and the second perspective intersect, so that images of at least a portion of the weld can be easily acquired from at least two angles, and the appearance parameters of the weld can be easily obtained.

[0025] In some embodiments, at least a portion of the second image is a state in which the first image is viewed from a second perspective.

[0026] By using at least a portion of the second image as a second perspective of the first image, embodiments of this application can employ the first and second images of the same portion of the weld between the sealing nail and the top cover plate, thereby obtaining appearance parameters for the same portion of the weld and improving the accuracy of weld penetration detection.

[0027] In some embodiments, determining whether the weld penetration depth is qualified based on the weld penetration depth meeting the preset conditions specifically includes judging whether the weld penetration depth is greater than or equal to a first preset value. If yes, the weld penetration depth is determined to be qualified; otherwise, the weld penetration depth is determined to be unqualified.

[0028] The embodiments of this application determine whether the weld penetration depth is greater than or equal to a first preset value. If so, the weld penetration depth is determined to be qualified; otherwise, the weld penetration depth is determined to be unqualified. The welding quality of the weld can be judged based on the relationship between the detected weld penetration depth and the first preset value, and unqualified battery devices can be screened to reduce the probability of batch abnormalities in battery devices and reduce the production cost of battery devices.

[0029] The beneficial effects of the embodiments of this application are as follows:

[0030] The embodiments of this application acquire images of at least a portion of the weld between the sealing nail and the top cover plate, obtain the appearance parameters of the weld in the images, determine the weld penetration depth based on the appearance parameters, and determine that the weld penetration depth is qualified if it meets preset conditions. Thus, the weld penetration depth can be detected through the appearance parameters of the weld without cutting the weld, thereby improving the rapid detection of weld penetration depth and increasing detection efficiency.

[0031] A second aspect of the embodiments of this application provides a device for detecting the penetration depth of a weld, the device comprising:

[0032] The acquisition module is used to acquire images of at least a portion of the weld between the sealing nail and the top cover plate;

[0033] The acquisition module is used to acquire the appearance parameters of the weld in the image;

[0034] The first determining module is used to determine the weld penetration depth based on appearance parameters;

[0035] The second determining module is used to determine whether the weld penetration depth is qualified based on the fact that the weld penetration depth meets the preset conditions.

[0036] A third aspect of the embodiments of this application provides a battery production line, which includes the aforementioned weld penetration detection device.

[0037] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0038] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiments below. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0039] Figure 1 This is a flowchart illustrating an embodiment of a method for detecting the penetration depth of a weld, according to an exemplary embodiment.

[0040] Figure 2 This is a schematic diagram of a first image showing a sealing nail welded to a top cover plate according to an exemplary embodiment;

[0041] Figure 3 This is a schematic diagram of a second image showing a sealing nail welded to a top cover plate according to an exemplary embodiment;

[0042] Figure 4 This is a schematic diagram of a cross-section of scales after a sealing nail is welded to a top cover plate, according to an exemplary embodiment.

[0043] Figure 5 This is a schematic diagram of a weld penetration detection device according to an exemplary embodiment.

[0044] Explanation of reference numerals in the attached figures:

[0045] 10. Top cover plate;

[0046] 20. Sealing nails;

[0047] 30. Weld seam; 31. Scales;

[0048] 40. Detection device; 41. Acquisition module; 42. Acquisition module; 43. First determination module; 44. Second determination module;

[0049] H 测 The measured dimension of the scale along the first direction;

[0050] D 测 The measured dimension of the scale along the second direction;

[0051] W 测 The measured dimension of the scale along a third direction;

[0052] L represents the weld penetration depth;

[0053] XX, First Direction;

[0054] YY, second direction;

[0055] ZZ, third-party orientation. Detailed Implementation

[0056] The embodiments of the technical solution of this application will now be described in detail with reference to the accompanying drawings. These embodiments are only used to more clearly illustrate the technical solution of this application and are therefore merely examples, and should not be used to limit the scope of protection of this application.

[0057] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0058] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0059] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0060] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0061] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0062] Currently, judging from market trends, the application of power batteries is becoming increasingly widespread. Power batteries are not only used in energy storage systems such as hydropower, thermal power, wind power, and solar power plants, but also widely applied in electric vehicles such as electric bicycles, electric motorcycles, and electrical equipment, as well as in military equipment and aerospace. With the continuous expansion of power battery applications, market demand is also constantly increasing.

[0063] Battery devices typically seal the electrolyte filling port with sealing pins. After welding the sealing pins, the weld quality needs to be inspected to screen out substandard products. The weld penetration depth is usually measured using metallographic methods, but this method is time-consuming and inefficient. Therefore, a more efficient method is needed to measure the weld penetration depth.

[0064] To address this technical problem, embodiments of this application propose a method for detecting weld penetration depth, comprising: acquiring images of at least a portion of the weld between a sealing nail and a top cover plate; obtaining appearance parameters of the weld in the images; determining the weld penetration depth based on the appearance parameters; and determining that the weld penetration depth is qualified if it meets preset conditions. By acquiring images of at least a portion of the weld between the sealing nail and the top cover plate, obtaining appearance parameters of the weld in the images, determining the weld penetration depth based on the appearance parameters, and determining that the weld penetration depth is qualified if it meets preset conditions, the embodiments of this application can detect the weld penetration depth using the weld appearance parameters without cutting the weld, thus improving the speed and efficiency of weld penetration depth detection.

[0065] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

[0066] like Figure 1 As shown, Figure 1This is a flowchart illustrating an embodiment of a method for detecting the penetration depth of a weld 30 according to an exemplary embodiment. The method for detecting the penetration depth of a weld 30 includes:

[0067] S11. Acquire images of at least a portion of the weld 30 after the sealing nail 20 is welded to the top cover plate 10.

[0068] S12. Obtain the appearance parameters of weld 30 in the image.

[0069] S13. Determine the penetration depth of weld 30 based on the appearance parameters.

[0070] S14. Based on the fact that the penetration depth of weld 30 meets the preset conditions, the penetration depth of weld 30 is deemed qualified.

[0071] In S11, acquiring an image of at least a portion of the weld 30 after the sealing nail 20 and the top cover plate 10 are welded can be acquiring an image of the entire weld 30 after the sealing nail 20 and the top cover plate 10 are welded, or it can be acquiring an image of a portion of the weld 30 after the sealing nail 20 is welded. Here it is assumed that the weld 30 is uniformly distributed at different positions. The appearance parameters of the weld 30 can be obtained using images of a portion of the weld 30. Here, the images include at least two pictures, which are obtained after being taken from at least two different perspectives.

[0072] In S12, the appearance parameters of weld 30 include the surface quality of weld 30, such as the surface finish of weld 30, surface defects such as cracks and porosity, the undercut depth of weld 30, and the height of weld 30. Considering that these appearance parameters have little impact on the penetration depth of weld 30, in the embodiments of this application, the main focus is on obtaining the appearance parameters that have a greater impact on the penetration depth of weld 30.

[0073] In S13, determining the penetration depth of weld 30 based on appearance parameters means determining the penetration depth of weld 30 based on the appearance parameters of weld 30 according to a weighted ratio. This allows the penetration depth of weld 30 to be detected and estimated based on the appearance parameters of weld 30.

[0074] In S14, determining that the weld 30 is qualified based on the weld penetration meeting the preset conditions means that the weld penetration of 30 is qualified if the detected weld penetration is consistent with the preset conditions. If the weld penetration of 30 does not meet the preset conditions, the weld penetration of 30 is unqualified. This process reconfirms the welding quality of weld 30 and, if necessary, performs rework or repair.

[0075] In the technical solution of the embodiments of this application, by acquiring images of at least a portion of the weld 30 after the sealing nail 20 and the top cover plate 10 are welded, the appearance parameters of the weld 30 in the images are obtained, the penetration depth of the weld 30 is determined based on the appearance parameters, and the penetration depth of the weld 30 is determined to be qualified if the penetration depth of the weld 30 meets the preset conditions. Thus, the penetration depth of the weld 30 can be detected through the appearance parameters of the weld 30 without cutting the weld 30, thereby improving the quality judgment of the weld 30, increasing the speed of penetration depth detection and improving detection efficiency.

[0076] In some embodiments, such as Figure 2 As shown, weld 30 includes scales 31, wherein there are multiple scales 31 forming a fish scale structure. The appearance parameters of weld 30 can be characterized by the appearance parameters of a single scale 31. (Continuing to refer to...) Figure 2 and Figure 3 As shown, obtaining the appearance parameters of the weld 30 in the image includes obtaining the detection dimension H of the scales 31 along the first direction. 测 The detection dimension D of scale 31 along the second direction 测 The number of fingerprints detected on the scale 31, wherein the first direction is the welding direction of the weld 30, and the second direction is the depth direction of the weld 30.

[0077] It should be emphasized that the detection dimension H of scale 31 along the first direction is... 测 The detection dimension D of scale 31 along the second direction 测 Size can be detected by analyzing and processing the acquired images, such as obtaining the distance between two points using a distance sensor. The first direction is... Figure 2 The XX direction, the second direction is... Figure 3 YY direction in the middle, Figure 2 The ZZ direction is the third direction, which is the width direction of scale 31.

[0078] The number of fingerprints detected by the scale 31 mentioned here can also be obtained through appearance, for example, in Figure 2 In this design, the number of fingerprints on the scale 31 is five. Of course, depending on the state of the weld 30, the number of fingerprints on the scale 31 can be adjusted to four or six, etc. Each scale 31 will have a fingerprint-like structure, and the number of fingerprints on the scale 31 can be determined by the number of fingerprints.

[0079] The embodiments of this application obtain the appearance parameters of the weld 30 in the image, including the detection size of the scales 31 along the first direction, the detection size of the scales 31 along the second direction, and the number of fingerprints detected on the scales 31. Then, the weld penetration depth can be predicted by the detection size of the scales 31 along the first direction, the detection size of the scales 31 along the second direction, and the number of fingerprints detected on the scales 31, thereby achieving accurate prediction of the weld penetration depth.

[0080] In some embodiments, determining the penetration depth of weld 30 based on appearance parameters includes determining the penetration depth of the scales 31 along a first direction based on the detection dimension H. 测 The detection dimension D of scale 31 along the second direction 测 The weld penetration depth is determined by the number of fingerprints detected on the scale 31, the first weight percentage of the detection size of the scale 31 along the first direction, the second weight percentage of the detection size of the scale 31 along the second direction, and the third weight percentage of the number of fingerprints detected on the scale 31.

[0081] In this embodiment, in addition to considering the detection size H of the scale 31 along the first direction 测 The detection dimension D of scale 31 along the second direction 测 In addition to the three parameters of the number of fingerprints detected on the scale 31, the weight ratio of each parameter is also considered, so that the penetration depth of the weld 30 can be determined by the appearance parameters and the corresponding weight ratio, thus realizing the detection of the penetration depth of the weld 30.

[0082] It is important to emphasize that the selection of appearance parameters is crucial when determining the penetration depth of weld 30 based on its appearance parameters. During laser welding, a molten pool is formed. The depth of the molten pool is related to the laser energy and the position of the focal point. The higher the energy received by the welding surface, the deeper the molten pool and the longer the solidification time. When welding the next spot, the unsolidified molten pool makes the next welding area more widely affected, and the distance between welds 30 is closer. In other words, the size of the scales 31 is related to the penetration depth of weld 30. Therefore, the size of the scales 31 can be used as an appearance parameter to determine the penetration depth of weld 30.

[0083] The embodiments of this application determine the weld penetration depth of the weld 30 based on the detection dimensions of the scale 31 along the first direction, the detection dimensions of the scale 31 along the second direction, the number of fingerprints detected on the scale 31, a first weighting percentage of the detection dimensions of the scale 31 along the first direction, a second weighting percentage of the detection dimensions of the scale 31 along the second direction, and a third weighting percentage of the number of fingerprints detected on the scale 31. This allows for more accurate prediction of the weld penetration depth based on the weighting percentages of the detection dimensions of the scale 31 along the first direction, the detection dimensions of the scale 31 along the second direction, and the number of fingerprints detected on the scale 31, thereby improving the accuracy of weld penetration depth detection.

[0084] In some embodiments, such as Figure 2 As shown, obtaining the appearance parameters of the weld 30 in the graphic also includes obtaining the detection dimension W of the scales 31 along a third direction. 测 The third direction intersects with the first and second directions respectively.

[0085] The first direction here is the welding direction of weld 30. Weld 30 can have a circular structure, and the scales 31 are inspected along the third direction by dimension W. 测 It refers to the width dimension of weld 30, and the third dimension is the radial direction of sealing nail 20. Thus, the full welding of the contact surface between sealing nail 20 and top cover plate 10 can be achieved through weld 30.

[0086] The embodiments of this application further increase the factors affecting the weld depth by including the appearance parameters of the weld 30 in the acquired image and the detection dimensions of the scales 31 along a third direction, thereby enabling a more accurate prediction of the weld depth.

[0087] In some embodiments, determining the weld penetration depth based on appearance parameters further includes determining the weld penetration depth based on the detection dimensions of the scales 31 along a third direction and a fourth weighting of the detection dimensions of the scales 31 along a third direction.

[0088] In the embodiments of this application, the detection dimensions of the scale 31 along the third direction and the fourth weighting factor of the detection dimensions of the scale 31 along the third direction are added, which can more accurately detect the penetration depth of the weld 30, thereby achieving an accurate judgment of the penetration depth of the weld 30.

[0089] The embodiments of this application determine the weld penetration depth of the weld 30 by adding a fourth weighting percentage based on the detection dimensions of the scale 31 along a third direction and the detection dimensions of the scale 31 along a third direction. This allows for accurate detection of the weld penetration depth of the weld 30 based on the detection dimensions of the scale 31 along a first direction, the detection dimensions of the scale 31 along a second direction, the number of fingerprints detected on the scale 31, the detection dimensions of the scale 31 along a third direction, the first weighting percentage of the detection dimensions of the scale 31 along the first direction, the second weighting percentage of the detection dimensions of the scale 31 along the second direction, the third weighting percentage of the number of fingerprints detected on the scale 31, and the fourth weighting percentage of the detection dimensions of the scale 31 along a third direction. This improves the accuracy of judging the welding quality of the sealing nail 20 of the battery device.

[0090] In some embodiments, the formula for determining the penetration depth of weld 30 is as follows:

[0091] Where X is the penetration depth of weld 30, K1 is the first weighted proportion of the size of scale 31 along the first direction, and H 标 For weld 30 to be in a state of standard penetration depth, the standard dimensions of scale 31 along the first direction are H. 测 K1 represents the detection dimension of scale 31 along the first direction, K2 represents the second weighting percentage of the detection dimension of scale 31 along the second direction, and D represents the detection dimension of scale 31 along the second direction. 标 For weld 30 to be in a standard penetration state, the standard dimension of scale 31 along the second direction is D. 测 K3 is the detection size of scale 31 along the second direction, K3 is the third weighting percentage of the number of fingerprints detected on scale 31, and S 标 For the standard number of fingerprints on scales 31 when weld 30 is in a standard penetration state, S 测 K is the number of fingerprints detected on scale 31, K4 is the fourth weighting of the detection size of scale 31 along a third direction, and W is the number of fingerprints detected on scale 31. 标 For weld 30 to be in a standard penetration state, the scales 31 along the standard third direction are of standard size, W 测 The detection dimension of scale 31 along the third direction.

[0092] It is important to note that the dimension mentioned here under the standard melt depth condition is H. 标 S 标 D 标 and W 标 It is the average size of the weld seams 30 of multiple battery devices under the standard penetration depth. For example, thirty sealing nails 20 can be selected to be welded to the top cover plate 10 respectively. The appearance parameters of each weld seam 30 are obtained by metallographic inspection when the weld seam 30 is under the standard penetration depth. Then, the average value of these appearance parameters is taken to obtain these parameters.

[0093] It should be noted that the top cover plate 10 is provided with an injection port, and the sealing nail 20 is inserted into the injection port. The sealing nail 20 is welded to the top cover plate 10 in the circumferential direction to achieve a seal on the injection port.

[0094] The embodiments of this application introduce a formula for the penetration depth of weld 30.

[0095] Then, the penetration depth of weld 30 can be accurately calculated based on these appearance parameters and their corresponding weight ratios, thus achieving accurate detection of the penetration depth of weld 30.

[0096] In some embodiments, acquiring an image of at least a portion of the weld 30 after the sealing nail 20 is welded includes acquiring a first image of at least a portion of the weld 30 after the sealing nail 20 is welded from a first perspective; and acquiring a second image of at least a portion of the weld 30 after the sealing nail 20 is welded from a second perspective; wherein the first perspective and the second perspective intersect.

[0097] The first and second perspectives here can be perpendicularly intersecting. For example, the first image can be a top view of weld 30 and the second image can be a side view of weld 30, thus obtaining at least two images of weld 30. By acquiring information from the two images, the appearance parameters of weld 30 that need to be measured can be obtained.

[0098] The embodiments of this application acquire a first image of at least a portion of the weld 30 after the sealing nail 20 is welded from a first perspective, and a second image of at least a portion of the weld 30 after the sealing nail 20 is welded from a second perspective; wherein, the first perspective and the second perspective intersect, so that images of at least a portion of the weld 30 can be easily acquired from at least two angles, and the appearance parameters of the weld 30 can be easily obtained.

[0099] In some embodiments, at least a portion of the second image is a state in which the first image is viewed from a second perspective.

[0100] When the acquired image is a part of weld 30, the first image and the second image are the state of this part of weld 30 after being captured from the first viewpoint and the second viewpoint, respectively.

[0101] By using at least a portion of the second image as the first image in a second perspective, embodiments of this application can utilize the first and second images of the same portion of the weld 30 between the sealing nail 20 and the top cover plate 10, thereby obtaining appearance parameters for the same portion of the weld 30 and improving the accuracy of detecting the weld penetration depth.

[0102] In some embodiments, determining that the weld 30 is qualified based on the weld 30's penetration depth meeting preset conditions specifically includes judging whether the weld 30's penetration depth is greater than or equal to a first preset value. If yes, the weld 30's penetration depth is qualified; otherwise, the weld 30's penetration depth is unqualified.

[0103] The preset conditions here can be selected and set as needed. For example, the first preset value can be 1. When X is greater than 1, the penetration depth of weld 30 is considered to be qualified. When X is less than or equal to 1, the penetration depth of weld 30 is considered to be unqualified. In this case, other methods are needed to accurately measure the penetration depth of weld 30.

[0104] The embodiments of this application determine whether the penetration depth of the weld 30 is greater than or equal to a first preset value. If it is, the penetration depth of the weld 30 is determined to be qualified; if not, the penetration depth of the weld 30 is determined to be unqualified. The welding quality of the weld 30 can be judged based on the relationship between the detected penetration depth of the weld 30 and the first preset value, and unqualified battery devices can be screened to reduce the probability of batch abnormalities in battery devices and reduce the production cost of battery devices.

[0105] Understandably, X here can also be selected as other data as needed. In the specific operation process, it can be adopted... This is used to calculate the melting depth.

[0106] Of course, the coefficients in this formula can also be adjusted as needed, for example, the formula can be adjusted to...

[0107] wait.

[0108] It should be noted that, as Figure 4 As shown, in the process of accurately measuring the penetration depth L of weld 30, weld 30 can be cut to obtain the result. If the result is consistent with the calculation result, it can be considered that the prediction of the penetration depth L of weld 30 is relatively accurate. This method can be used to detect the penetration depth.

[0109] In addition, considering that there are multiple scales 31 on the weld 30, when obtaining the size of the scales 31, the size of multiple scales 31 can be obtained at the same time, and the penetration depth of each scale 31 position is calculated. When the penetration depth of each scale 31 position is qualified, the battery device can be identified as a qualified product. When the penetration depth of a certain scale 31 position is unqualified, the battery device needs to be identified as a defective product and an early warning needs to be issued. This allows for further judgment on the quality of the weld 30 and reduces the probability of defective battery devices flowing into the next process.

[0110] like Figure 5 As shown, Figure 5 The present invention is a schematic diagram of a weld penetration depth detection device 40 according to an exemplary embodiment. The detection device 40 includes an acquisition module 41 for acquiring an image of at least a portion of the weld 30 after the sealing nail 20 is welded; an acquisition module 42 for acquiring appearance parameters of the weld 30 in the image; a first determination module 43 for determining the penetration depth of the weld 30 based on the appearance parameters; and a second determination module 44 for determining that the penetration depth of the weld 30 is qualified based on the weld penetration depth meeting preset conditions.

[0111] The specific implementation process of the functions and roles of each module in the above device can be found in the implementation process of the corresponding steps in the above method, and will not be repeated here.

[0112] The embodiments of this application also disclose a battery production line, including the weld penetration detection device mentioned in the above embodiments, which can detect the weld penetration.

[0113] Understandably, the battery production line here also includes essential equipment in the battery production process, such as welding equipment and winding equipment, which will not be discussed in detail here.

[0114] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application.

[0115] A method for detecting the penetration depth of a weld 30 includes acquiring an image of at least a portion of the weld 30 between a sealing nail 20 and a top cover plate 10; obtaining appearance parameters of the weld 30 in the image; determining the penetration depth of the weld 30 based on the appearance parameters; and determining that the penetration depth of the weld 30 is qualified based on the weld penetration depth meeting preset conditions. Further, the weld 30 includes scales 31; acquiring the appearance parameters of the weld 30 in the image includes acquiring the detection dimensions of the scales 31 along a first direction, the detection dimensions of the scales 31 along a second direction, and the number of fingerprints detected on the scales 31, wherein the first direction is the welding direction of the weld 30, and the second direction is the depth direction of the weld 30. Further, determining the weld penetration depth of weld 30 based on appearance parameters includes determining the weld penetration depth of weld 30 based on the detection dimensions of scales 31 along a first direction, the detection dimensions of scales 31 along a second direction, the number of fingerprints detected on scales 31, a first weighted percentage of the detection dimensions of scales 31 along the first direction, a second weighted percentage of the detection dimensions of scales 31 along the second direction, and a third weighted percentage of the number of fingerprints detected on scales 31. Further, acquiring the appearance parameters of weld 30 in the image also includes acquiring the detection dimensions of scales 31 along a third direction, wherein the third direction intersects with both the first and second directions. Further, determining the weld penetration depth of weld 30 based on appearance parameters also includes determining the weld penetration depth of weld 30 based on the detection dimensions of scales 31 along a third direction and a fourth weighted percentage of the detection dimensions of scales 31 along a third direction. Further, the formula for determining the weld penetration depth of weld 30 is as follows: Where X is the penetration depth of weld 30, K1 is the first weighted proportion of the size of scale 31 along the first direction, and H 标 For weld 30 to be in a state of standard penetration depth, the standard dimensions of scale 31 along the first direction are H. 测 K1 represents the detection dimension of scale 31 along the first direction, K2 represents the second weighting percentage of the detection dimension of scale 31 along the second direction, and D represents the detection dimension of scale 31 along the second direction. 标 For weld 30 to be in a standard penetration state, the standard dimension of scale 31 along the second direction is D. 测 K3 is the detection size of scale 31 along the second direction, K3 is the third weighting percentage of the number of fingerprints detected on scale 31, and S 标 For the standard number of fingerprints on scales 31 when weld 30 is in a standard penetration state, S 测 K is the number of fingerprints detected on scale 31, K4 is the fourth weighting of the detection size of scale 31 along a third direction, and W is the number of fingerprints detected on scale 31. 标For weld 30 to be in a standard penetration state, the scales 31 along the standard third direction are of standard size, W 测 The detection dimension of the scale 31 along a third direction. Further, acquiring images of at least a portion of the weld 30 between the sealing pin 20 and the top cover plate 10 includes acquiring a first image of the at least portion of the weld 30 between the sealing pin 20 and the top cover plate 10 from a first perspective; and acquiring a second image of the at least portion of the weld 30 between the sealing pin 20 and the top cover plate 10 from a second perspective; wherein the first perspective and the second perspective intersect. Further, at least a portion of the second image is the state of the first image viewed from the second perspective. Further, determining that the weld 30's penetration depth is qualified based on the weld 30's penetration depth meeting a preset condition specifically includes determining whether the weld 30's penetration depth is greater than or equal to a first preset value; if so, the weld 30's penetration depth is qualified; if not, the weld 30's penetration depth is unqualified.

[0116] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this application according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0117] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0118] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0119] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method of detecting the penetration of a weld, characterized by, The method comprises: collecting an image of at least part of a weld seam between the sealing nail and the top cover plate after welding; obtaining appearance parameters of the weld seam in the image; determining the penetration of the weld seam according to the appearance parameters; determining that the penetration of the weld seam is qualified according to the penetration of the weld seam meeting a preset condition. The weld seam comprises scales. Determining the penetration of the weld seam according to the appearance parameters comprises: determining the penetration of the weld seam according to the detected size of the scales along a first direction, the detected size of the scales along a second direction, the detected number of fingerprints of the scales, a first weight ratio of the detected size of the scales along the first direction, a second weight ratio of the detected size of the scales along the second direction, and a third weight ratio of the detected number of fingerprints of the scales; determining the penetration of the weld seam according to the detected size of the scales along a third direction and a fourth weight ratio of the detected size of the scales along the third direction. Obtaining the appearance parameters of the weld seam in the image comprises obtaining the detected size of the scales along the third direction, wherein the third direction intersects the first direction and the second direction respectively. The formula for determining the penetration of the weld is ; wherein X is a penetration of the weld, K1 is a first weight ratio of a size of the scale along a first direction, H 标 is a standard size of the scale along the first direction when the weld is in a standard penetration, H 测 is a detected size of the scale along the first direction, K2 is a second weight ratio of a detected size of the scale along a second direction, D 标 is a standard size of the scale along the second direction when the weld is in a standard penetration, D 测 is a detected size of the scale along the second direction, K3 is a third weight ratio of a detected number of fingerprints of the scale, S 标 is a standard number of fingerprints of the scale when the weld is in a standard penetration, S 测 is a detected number of fingerprints of the scale, K4 is a fourth weight ratio of a detected size of the scale along a third direction, W 标 is a standard size of the scale along the third direction when the weld is in a standard penetration, W 测 is a detected size of the scale along the third direction.

2. The method for detecting the penetration of a weld seam according to claim 1, wherein obtaining the appearance parameters of the weld seam in the image comprises obtaining the detected size of the scales along a first direction, the detected size of the scales along a second direction, and the detected number of fingerprints of the scales, wherein the first direction is the welding direction of the weld seam, and the second direction is the depth direction of the weld seam.

3. The method of detecting the penetration of a weld according to claim 1 or 2, characterized in that, Collecting an image of at least part of a weld seam between the sealing nail and the top cover plate comprises: collecting a first image of at least part of the weld seam between the sealing nail and the top cover plate from a first perspective; collecting a second image of at least part of the weld seam between the sealing nail and the top cover plate from a second perspective; wherein the first perspective and the second perspective intersect.

4. The method of detecting the penetration of a weld bead according to claim 3, wherein At least part of the second image is the first image in the state of the second perspective.

5. The method of detecting the penetration of a weld bead according to claim 1 or 2, characterized in that, Determining that the penetration of the weld seam is qualified according to the penetration of the weld seam meeting a preset condition specifically comprises: determining that the penetration of the weld seam is qualified if the penetration of the weld seam is greater than or equal to a first preset value; determining that the penetration of the weld seam is unqualified if the penetration of the weld seam is less than the first preset value.

6. An apparatus for detecting the penetration of a weld, characterized by The detection device is used to implement the method for detecting the penetration of a weld seam according to any one of claims 1 to 5, and the detection device comprises: a collection module configured to collect an image of at least part of a weld seam between a sealing nail and a top cover plate; an obtaining module configured to obtain appearance parameters of the weld seam in the image; a first determining module configured to determine the penetration of the weld seam according to the appearance parameters; a second determining module configured to determine that the penetration of the weld seam is qualified according to the penetration of the weld seam meeting a preset condition.

7. A battery production line, characterized by The detection device for detecting the penetration of a weld seam according to claim 6.

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