A method of screening, welding, post-weld inspection, material processing, battery and device

Abstract

The application provides a screening, welding, post-welding detection, material processing method, battery and device, and belongs to the technical field of welding. The application is designed to solve the technical problem of large fluctuation of product yield, calculate the distance between the inner edge S of the welding seam and the side wall C, and screen qualified products and unqualified products according to the distance. In the case of fixed size of the battery cell and guaranteed welding quality, the application can maximize the utilization rate of the capacity of the battery cell.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of welding, and particularly relates to a screening, welding, post-welding detection, material processing method, battery and device. BACKGROUND

[0002] Industry status:

[0003] The welding industry is one of the core industries related to industrial manufacturing and maintenance services, and is a key work during large installation engineering construction. The progress directly affects the planned construction period, the quality directly affects the safe operation and service life of the project, and the efficiency directly affects the construction period and construction cost of the project. In order to reduce the influence of human factors on welding quality and improve production efficiency, it is necessary to make the welding process more automatic and intelligent, which is also an inevitable trend of the development of the welding industry. The key problem of welding automation and intelligence is automatic searching and automatic tracking of the weld.

[0004] Difficulties:

[0005] 1. Yield instability problem: The yield of trial production fluctuates greatly, mainly affected by the incoming material state, and the process cannot identify and adjust the problem material.

[0006] 2. Risk product outflow problem: The helium detection qualified product has a certain liquid leakage rate in the drop test in the reliability experiment.

[0007] 3. Size utilization rate problem: The mechanical positioning product and blind welding method need to reserve excess size tolerance to ensure welding space, but the battery capacity is lost. SUMMARY

[0008] To solve the technical problems of large battery yield fluctuation, low battery helium detection qualified rate and battery capacity loss due to mechanical positioning in the prior art, a material screening method is provided, which comprises:

[0009] Step S1, before assembly, measuring the thickness h1 of the first to-be-assembled material and the thickness h2 of the second to-be-assembled material,

[0010] Step S2, after assembly, applying pressure to the first to-be-assembled material and the second to-be-assembled material to obtain an assembled material, measuring the thickness H of the assembled material, and calculating the gap G between the first to-be-assembled material and the second to-be-assembled material by the formula G=H-(h1+h2)

[0011] Step S3, determining whether G is greater than a preset gap value;

[0012] Step S3, determining whether G is greater than a preset gap value;

[0013] Step S4, if G is greater than the preset gap value, the first material to be assembled and the second material to be assembled are pressed by a pressing mechanism according to a preset pressure value, and then step S2 is executed until a qualified assembled material, i.e. a product to be welded, is obtained;

[0014] If G is less than or equal to the preset gap value, a qualified assembled material, i.e. a product to be welded, is obtained, and step S5 is entered;

[0015] Step S5, the product to be welded is laser welded by 3D visual guidance to obtain a finished product;

[0016] Step S6, the size of the finished product is detected to screen out qualified products and unqualified products, including:

[0017] Step S6.1, 2D and 3D product images are obtained; the position of the inner edge S of the weld of the product is obtained from the 2D image; the position of the side wall C of the product is obtained from the 3D image, and the 2D image can also detect the overall outer shape size and weld width of the product;

[0018] Step S6.2, the distance between the inner edge S of the weld and the side wall C is calculated, and qualified products and unqualified products are screened out according to the distance.

[0019] A 3D visual guidance laser welding method is proposed, which laser welds the product to be welded by 3D visual guidance to obtain a finished product, including:

[0020] Step 1, scanning the arc of the product to be welded and the straight line area of the flange;

[0021] Step 2, scanning multiple points, fitting a straight line L every N points to obtain an angle coefficient, if the angle coefficient degree continuously increases, selecting the first point of the first fitting line as the tangent direction, and the first point as the tangent point q of the tangent;

[0022] Step 3, positioning the flange reference line according to the least square method;

[0023] Step 4, calculating the vertical height difference between the flange reference line and the tangent point, if the vertical height difference is greater than a preset height difference, regarding the tangent point q as an abnormal point, and filtering the abnormal point;

[0024] Step 5, cyclically executing steps 1 to 4 to calculate all tangent points to obtain a tangent point set Q, the tangent point set Q being composed of multiple tangent points q;

[0025] Step 6, calculate the distance of each cutting point q in the cutting point set Q to the fitting straight line L; sort the distances in order from "minimum" to "maximum"; filter out the maximum and minimum n% data respectively, and output the remaining 1-n% cutting point data; obtain a welding contour, and weld the product to be welded along the welding contour during welding to obtain a finished product.

[0026] Optionally, in the 3D visual guidance laser welding method, W straight lines L are fitted, and the W straight lines L are combined into a straight line set Z, W>1.

[0027] When W=2, the straight line set Z is composed of a straight line line-1 and a straight line line-2, and the intersection point of the straight line line-1 and the straight line line-2 is a center point center-1.

[0028] After the straight line line-1 is translated by a distance Y along a first preset direction, a cutting point A1 is obtained, and a straight line A1B1 is obtained; after the straight line line-2 is translated by a distance Y along a second preset direction, a cutting point A2 is obtained, and a straight line A2F2 is obtained.

[0029] According to the cutting point A1, the cutting point A2, the center point center-1, the straight line A1B1, and the straight line A2F2, a welding contour is obtained, and the product to be welded is welded along the welding contour during welding to obtain a finished product.

[0030] Optionally, in the 3D visual guidance laser welding method, a fixed size welding track can also be welded, and one of the W straight lines L is a reference straight line line-0, the reference straight line line-0 is translated by a distance Y to obtain a straight line line-01, and the straight line line-01 is parallel to or has an angle α with the reference straight line line-0.

[0031] A post-welding detection method is proposed, which is performed after the steps of the above-mentioned 3D visual guidance laser welding method, comprising:

[0032] Step 1: obtain a 2D image of the welded product by a 2D camera, and obtain a 3D image of the welded product from a 3D camera;

[0033] Step 2: obtain the edge lines of reference X and reference Y from the 2D image; take the intersection point of reference X and reference Y as the origin, wherein reference X and reference Y are perpendicular; take reference X as the X axis and reference Y as the Y axis to form a 2D coordinate system with the X axis and the Y axis;

[0034] Step 3: similarly, obtain the edge lines of reference X and reference Y from the 3D image, and establish the same 3D coordinate system;

[0035] Step 4: in the calibrated coordinate system, associate the 2D coordinate system and the 3D coordinate system; then, obtain the average value D, including:

[0036] Step S201, acquire the 2D image and the 3D image of the current welding product;

[0037] Step S202, acquire the position of the inner edge S of the weld of the assembled material from the 2D image;

[0038] Step S203, acquire the position of the side wall C of the assembled material from the 3D image;

[0039] Step S204, calculate the average distance D between all points of the inner edge S of the weld and the side wall C.

[0040] In the calibrated coordinate system, calculate the distance between all points of the inner edge S of the weld and the side wall C, and output the average value of all distances as D.

[0041] The 2D camera can also detect the outer dimension and the weld width of the welding track after welding

[0042] Propose a material processing method, comprising:

[0043] Step S10, measure the height change of the to-be-assembled material by a spectral confocal sensor, and calculate the thickness value of each position in the to-be-assembled material by a relative position algorithm;

[0044] Step S20, judge whether the thickness value is out of tolerance;

[0045] Step S30, if out of tolerance, continue to measure and judge whether the number of times of out of tolerance meets a preset number of times; if not out of tolerance, enter step S50;

[0046] Step S40, if the number of times of out of tolerance meets the preset number of times, the to-be-assembled material is an NG material, and the material is discharged;

[0047] Step S50, assemble the to-be-assembled materials that are not out of tolerance together to obtain an assembled material;

[0048] Step S60, calculate the gap average value between the to-be-assembled materials in the assembled material according to the positions when measuring the thickness of the to-be-assembled materials;

[0049] Step S70, judge whether the gap average value is greater than a preset gap value;

[0050] Step S80, if greater than the preset gap value, press down the assembled material according to a preset pressure value by a pressing mechanism, and return to execute step S60; if less than or equal to the preset gap value, obtain a qualified assembled material.

[0051] In the embodiment, the out-of-tolerance is that the product outer dimension or the welding dimension or the gap dimension between the upper and lower layers of the welding or the product incoming dimension exceeds the tolerance range specified in the product standard.

[0052] Optionally, in the material processing method, after step S10 and before step S20, the method comprises:

[0053] The thickness data of each region is obtained after measuring different batches of assembled materials.

[0054] In the embodiment, the thickness data of each region is as shown in Figure 3 There are six regions, namely, region 1-region 6.

[0055] Optionally, in the material processing method, the method comprises:

[0056] Step S801, it is judged whether the current preset pressure value has reached the maximum value;

[0057] Step S802, if the maximum value is reached, and the gap average value is still greater than the preset gap value, the unqualified assembled material is obtained; if the maximum value is not reached, and the gap average value is still greater than the preset gap value, the assembled material is pressed by the pressing mechanism according to the preset pressure value, and the step S60 is executed.

[0058] Optionally, in the material processing method, the method comprises:

[0059] Step S601, N gap data G between the assembled materials is obtained, and the N gap data G is sorted according to the size of the gap value;

[0060] Step S602, the first n% data and the last n% data are deleted to obtain the remaining data;

[0061] Step S603, the average value of the remaining data is calculated to obtain the gap average value.

[0062] Optionally, in the material processing method, step S601 comprises:

[0063] Step S6011, the thickness of the assembled material is measured at the feeding station, and the thickness is h;

[0064] Step S6012, the assembled material is obtained by assembling the assembled material, and the thickness of the assembled material is measured at the welding and pressing station, and the thickness is H;

[0065] Step S6013, the gap data is G, and G=H-h.

[0066] In an embodiment, a 3D visual guided laser welding method is provided. After obtaining the qualified assembled material, the steps of the 3D visual guided laser welding method are executed, comprising:

[0067] Step S1, scanning different regions in the battery cell, fitting a welding trajectory according to the scanned points;

[0068] Step S2, welding along the welding trajectory by laser.

[0069] A battery is provided, which is processed by the 3D vision-guided laser welding method of any one of the above.

[0070] A battery processing device is provided, which is used to execute the steps of the material screening method, or is used to execute the steps of the 3D vision-guided laser welding method of any one of the above, or is used to execute the steps of the post-welding detection method, or is used to execute the steps of the post-welding detection method of any one of the above.

[0071] The beneficial effects of the present application are that: before welding, the materials are assembled first, and pressure is applied to the first and second to-be-assembled materials, so that the gap G value between the first and second to-be-assembled materials becomes smaller. When the gap G value between the first and second to-be-assembled materials is too large, it will cause poor welding of the battery product. The present application can detect the size of the gap G value, and regulate the size of the pressure based on the gap G value, further reduce the gap G value, so as to achieve the purpose of improving the welding yield. In the welding stage, the distance from each cutting point q in the cutting point set Q to the fitting straight line L is calculated; the distances are sorted in order from "minimum" to "maximum"; the data of the maximum value and the minimum value n% are filtered out respectively, and the remaining 1-n% tangent data is output, which can make the theoretical welding trajectory continuously close to the circular arc cutting point position, thereby achieving the purpose of expanding the capacity of the battery cell. In the post-welding detection stage, in the calibrated coordinate system, the distance from all points on the inner edge S of the weld to the side wall C is calculated, and the average value of all distances is output as D. By judging the size of D, the qualified welding product can be detected. The 2D camera can also detect the size of the welding trajectory after welding and the width of the weld. In the case of fixed battery cell size and guaranteed welding quality, the battery cell capacity utilization rate can be maximized. BRIEF DESCRIPTION OF DRAWINGS

[0072] Figure 1 It is a flowchart of the material screening method in the present application;

[0073] Figure 2 It is a scanning and welding trajectory diagram in the 3D vision-guided laser welding of the present application;

[0074] Figure 3 It is a distribution diagram of the six regions when welding in the present application;

[0075] Figure 4 It is a structural schematic diagram of a virtual coordinate system in the present application;

[0076] Figure 5 A local enlarged view of the W position in the virtual coordinate system of the application;

[0077] Figure 6 A schematic view of a welding track of the application;

[0078] Figure 7 Another schematic view of a welding track of the application. Embodiment

[0079] The specific scheme will be described below in conjunction with the accompanying drawings of the specification:

[0080] Figure 2 The dotted part refers to the points scanned on the battery by the 3D camera, and the solid part outside the dotted line refers to the actual welding track. Figure 4 In the figure, the solid line S refers to the actual welding position, i.e., the inner edge of the weld, and the dotted line C refers to the points scanned on the battery by the 3D camera, i.e., the side wall of the battery; D refers to the distance between the inner edge of the weld and the side wall of the battery.

[0081] When the value of D is large, the capacity of the battery will decrease; when the value of D is too small, the welding is not firm, causing liquid leakage after liquid injection and scrap; for the battery that passes the helium detection, there is a certain proportion of liquid leakage in the drop test of the reliability experiment; to solve the technical problem, a material screening method is proposed, which realizes the purpose of controlling the size of the gap G by applying different sizes of pressure to the first and second to-be-assembled materials:

[0082] In order to ensure that the gap G is less than or equal to the preset gap value, a negative feedback mechanism is adopted, and after the first compression,

[0083] If G is greater than the preset gap value, the first to-be-assembled material and the second to-be-assembled material are compressed by the compression mechanism according to the preset pressure value, for example, the pressure value used the first time is m, if G is greater than the preset gap value, the pressure value used the second time is M, M>m…… and so on, until the gap G is less than or equal to the preset gap value, i.e., the qualified assembled material is obtained;

[0084] After obtaining the qualified assembled material, the qualified assembled material is laser welded by 3D visual guidance to obtain a finished product, the size of the finished product is detected, and the qualified product and the unqualified product are screened out, the distance D between the inner edge of the weld S and the side wall C, the overall welding size after welding, and the weld width determine whether the current product is a qualified product;

[0085] The qualified products are subjected to drop test, information of drop test qualified and drop test unqualified batteries is obtained, and the distance D value is regulated according to the battery information, so that the proportion of the drop test qualified battery amount is improved, compared with the traditional welding technology scheme of directly welding along the fitted welding track, the technology scheme can further eliminate the drop test unqualified batteries from the qualified products, so that the product yield is improved; since the distance D value can be regulated, the technology scheme is more intelligent and automatic than the existing technology scheme, and the production efficiency can be improved.

[0086] The qualified products are subjected to helium detection, information of helium detection qualified and helium detection unqualified batteries is obtained, and the distance D value is regulated according to the battery information, so that the proportion of the helium detection qualified battery amount is improved, compared with the traditional welding technology scheme of directly welding along the fitted welding track, the technology scheme can further eliminate the helium detection unqualified batteries from the qualified products, so that the product yield is improved.

[0087] The material screening method specifically comprises:

[0088] In step S1, the thickness h1 of the first to-be-assembled material and the thickness h2 of the second to-be-assembled material are measured before assembly,

[0089] In step S2, the first to-be-assembled material and the second to-be-assembled material are subjected to pressure after assembly, to obtain an assembled material, the thickness H of the assembled material is measured, and the gap G between the first to-be-assembled material and the second to-be-assembled material is calculated by the formula G=H-(h1+h2)

[0090] The gap G between the first to-be-assembled material and the second to-be-assembled material is calculated.

[0091] In step S3, it is judged whether G is greater than a preset gap value.

[0092] In step S4, if G is greater than the preset gap value, the first to-be-assembled material and the second to-be-assembled material are pressed tightly by the pressing mechanism according to the preset pressure value, and then step S2 is executed until a qualified assembled material is obtained, and the qualified assembled material is a to-be-welded product.

[0093] If G is less than or equal to the preset gap value, a qualified assembled material is obtained, and the qualified assembled material is a to-be-welded product, and step S5 is entered.

[0094] In step S5, the to-be-welded product is subjected to laser welding through 3D visual guidance, to obtain a finished product.

[0095] In step S6, the size of the finished product is detected, and qualified products and unqualified products are screened out, including:

[0096] Step S6.1, acquiring 2D and 3D product images; acquiring the position of the inner edge S of the weld of the product from the 2D image; acquiring the position of the side wall C of the product from the 3D image;

[0097] Step S6.2, calculating the distance D between the inner edge S of the weld and the side wall C, and screening out qualified products and unqualified products according to the distance.

[0098] The 2D vision system can detect the overall welded appearance size and weld width after welding

[0099] A 3D vision-guided laser welding method is provided, which performs laser welding on the product to be welded through 3D vision guidance to obtain a finished product, comprising:

[0100] Step 1, scanning the arc and flange area of the product to be welded;

[0101] Step 2, scanning a plurality of points, fitting a straight line L every N points to obtain an angle coefficient, if the angle coefficient degree continuously increases, selecting the first point of the first fitted line as the tangent direction, and the first point as the tangent point q of the tangent;

[0102] Step 3, positioning the flange reference line according to the least square method;

[0103] Step 4, calculating the vertical height difference between the flange reference line and the tangent point, if the vertical height difference is greater than a preset height difference, regarding the tangent point q as an abnormal point, and filtering the abnormal point;

[0104] Step 5, cyclically executing steps 1 to 4 to calculate all tangent points to obtain a tangent point set Q, the tangent point set Q being composed of a plurality of tangent points q;

[0105] Step 6, calculating the distance of each tangent point q in the tangent point set Q to the fitted straight line L; sorting the distances in order from "smallest" to "largest"; respectively filtering out the maximum value and the minimum value n% of data, and outputting the remaining 1-n% tangent line data; acquiring a welding contour, and welding the product to be welded along the welding contour to obtain a finished product.

[0106] Optionally, in the 3D vision-guided laser welding method, W straight lines L are fitted, the W straight lines L are combined into a straight line set Z, and W>1;

[0107] When W=2, the straight line set Z is composed of a straight line line-1 and a straight line line-2, and the intersection point of the straight line line-1 and the straight line line-2 is a center point center-1;

[0108] After the straight line line-1 is translated by a distance Y along the first preset direction, a tangent point A1 is obtained, and a straight line A1B1 is obtained; after the straight line line-2 is translated by a distance Y along the second preset direction, a tangent point A2 is obtained, and a straight line A2F2 is obtained;

[0109] According to the tangent point A1, the tangent point A2, the center point center-1, the straight line A1B1, and the straight line A2F2, a welding contour is obtained, and the welding contour is used to guide welding of a product to be welded, so that a finished product is obtained.

[0110] Optionally, in the 3D visual guiding laser welding method, a welding track with a fixed size can also be used for welding, and a reference straight line line-0 is present in the W straight lines L. After the reference straight line line-0 is translated by a distance Y, a straight line line-01 is obtained, and the straight line line-01 is parallel to the reference straight line line-0 or has an included angle α.

[0111] A post-welding detection method is provided, which is performed after the steps of the above-mentioned 3D visual guiding laser welding method, and includes the following steps:

[0112] Step 1: obtaining a 2D image of a welding product by using a 2D camera, and obtaining a 3D image of the welding product by using a 3D camera;

[0113] Step 2: obtaining edge lines of reference X and reference Y from the 2D image; taking an intersection point of the reference X and the reference Y as an origin, wherein the reference X and the reference Y are perpendicular; taking the reference X as an X axis and the reference Y as a Y axis, and establishing a 2D coordinate system by using the X axis and the Y axis;

[0114] Step 3: obtaining edge lines of reference X and reference Y from the 3D image, and establishing a same 3D coordinate system;

[0115] Step 4: correlating the 2D coordinate system and the 3D coordinate system in the calibration coordinate system; subsequently, obtaining an average value D, including:

[0116] Step S201: obtaining a 2D image and a 3D image of a current welding product;

[0117] Step S202: obtaining a position of a welding seam inner edge S of an assembled material from the 2D image;

[0118] Step S203: obtaining a position of a side wall C of the assembled material from the 3D image;

[0119] Step S204: calculating an average distance D between all points of the welding seam inner edge S and the side wall C.

[0120] In the calibration coordinate system, distances between all points of the welding seam inner edge S and the side wall C are calculated, and an average value of all distances is output as D.

[0121] The 2D vision system can detect the overall welding appearance size and the weld width after welding

[0122] A material processing method is provided, comprising:

[0123] In step S10, the height variation of the material to be assembled is measured by a spectral confocal sensor, and the thickness value of each position in the material to be assembled is calculated by a relative position algorithm;

[0124] In step S20, it is judged whether the thickness value is out of tolerance;

[0125] In step S30, if it is out of tolerance, the measurement is continued, and it is judged whether the number of times of being out of tolerance meets a preset number of times; if it is not out of tolerance, step S50 is entered;

[0126] In step S40, if the number of times of being out of tolerance meets the preset number of times, the material to be assembled is an NG material, and the material is discharged;

[0127] In step S50, the material to be assembled which is not out of tolerance is assembled together to obtain an assembled material;

[0128] In step S60, according to the positions when the thickness of the material to be assembled is measured, the average gap value between the materials to be assembled in the assembled material is calculated;

[0129] In step S70, it is judged whether the average gap value is greater than a preset gap value;

[0130] In step S80, if it is greater than the preset gap value, the assembled material is pressed by a pressing mechanism according to a preset pressure value, and step S60 is executed again; if it is less than or equal to the preset gap value, a qualified assembled material is obtained.

[0131] In this embodiment, the out of tolerance is that the product appearance size or the welding size or the gap size between the upper and lower materials of the welding or the product incoming material size exceeds the tolerance range specified by the product standard.

[0132] Optionally, in the material processing method, after step S10 and before step S20, the following steps are included:

[0133] After measuring different batches of materials to be assembled, the thickness data of each region is obtained.

[0134] In this embodiment, the thickness data of each region is as shown in Figure 3 There are six regions, namely, region 1-region 6.

[0135] Optionally, in the material processing method, the following steps are included:

[0136] In step S801, it is judged whether the current preset pressure value has reached a maximum value;

[0137] In step S802, if the average gap value is still greater than the preset gap value when the maximum value is reached, the assembled material is unqualified; if the average gap value is still greater than the preset gap value when the maximum value is not reached, the assembled material is pressed by the pressing mechanism according to the preset pressure value, and the step S60 is executed again.

[0138] Optionally, in the material processing method, the method comprises the following steps.

[0139] In step S601, N gap data G between the assembled materials is obtained, and the N gap data G is sorted according to the size of the gap value.

[0140] In step S602, the first n% data and the last n% data are deleted to obtain the remaining data.

[0141] In step S603, the average value of the remaining data is calculated to obtain the average gap value.

[0142] Optionally, in the material processing method, the step S601 comprises the following steps.

[0143] In step S6011, the thickness of the assembled material is measured at the loading station, and the thickness is h.

[0144] In step S6012, the assembled material is obtained by assembling the assembled material, and the thickness of the assembled material is measured at the welding and pressing station, and the thickness is H.

[0145] In step S6013, the gap data is G, and G=H-h.

[0146] In an embodiment, a 3D visual guided laser welding method is provided, and after the qualified assembled material is obtained, the steps of the 3D visual guided laser welding method are executed, comprising the following steps.

[0147] In step S1, different regions in the battery cell are scanned, and a welding track is fitted according to the scanned points.

[0148] In step S2, the laser is welded along the welding track.

[0149] It is apparent for a person skilled in the art that the present application is not limited to the details of the above-described exemplary embodiments, but that it can be implemented in other concrete forms without departing from the spirit or essential characteristics of the application. Therefore, any setting of the embodiments should be adjusted according to the devices, and the embodiments are merely exemplary and non-limiting, the scope of the present application being defined by the appended claims and not by the above description, and all changes falling within the meaning and range of equivalency of the essential elements of the claims are therefore intended to be embraced therein. Any reference signs in the claims should not be considered as limiting the claims concerned. Obviously, the above-described embodiments are only a part of the embodiments of the present application, but not all the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present application without making creative labor fall within the scope of protection of the present application.

Claims

1. A method of screening material, characterized by, Comprising: Step S1, before assembly, measuring the thickness h1 of the first material to be assembled, measuring the thickness h2 of the second material to be assembled, Step S2, after assembly, applying pressure to the first material to be assembled and the second material to be assembled to obtain an assembled material, measuring the thickness H of the assembled material, and calculating the gap G between the first material to be assembled and the second material to be assembled by the formula G = H-(h1+h2); Step S3, determining whether G is greater than a preset gap value; Step S4, if G is greater than the preset gap value, the first material to be assembled and the second material to be assembled are pressed tightly by a pressing mechanism according to a preset pressure value, and then step S2 is executed again until a qualified assembled material is obtained, which is a product to be welded; If G is less than or equal to the preset gap value, a qualified assembled material is obtained, which is a product to be welded, and step S5 is entered; Step S5, laser welding the product to be welded by 3D visual guidance to obtain a finished product; Step S6, detecting the size of the finished product to screen out qualified products and unqualified products, comprising: Step S6.1, obtaining 2D and 3D product images; obtaining the position of the inner edge S of the weld of the product from the 2D image; obtaining the position of the side wall C of the product from the 3D image, wherein the 2D image can also detect the overall size and weld width of the product welding; Step S6.2, calculating the distance between the inner edge S of the weld and the side wall C, and screening out qualified products and unqualified products according to the distance.

2. The method of claim 1, wherein, Laser welding the product to be welded by 3D visual guidance to obtain a finished product, comprising: Step 1, scanning the arc of the product to be welded and the straight line area of the flange; Step 2, scanning a plurality of points, fitting a straight line L every N points to obtain an angle coefficient, if the angle coefficient degree continuously increases, selecting the first point of the first fitting line as the tangent direction, and the first point as the tangent point q of the tangent; Step 3, positioning the flange reference line according to the least square method; Step 4, calculating the vertical height difference between the flange reference line and the tangent point, if the vertical height difference is greater than a preset height difference, regarding the tangent point q as an abnormal point, and filtering the abnormal point; Step 5, repeatedly executing steps 1 to 4 to calculate all tangent points to obtain a tangent point set Q, the tangent point set Q is composed of a plurality of tangent points q; Step 6, calculating the distance from each tangent point q in the tangent point set Q to the fitting straight line L; sorting the distances in order from "smallest" to "largest"; respectively filtering out the maximum value and the minimum value n% of the data, and outputting the remaining 1-n% of the tangent point data; obtaining a welding contour, and welding the product to be welded along the welding contour to obtain a finished product.

3. The method of claim 2, wherein, Comprising: Fitting W straight lines L, the W straight lines L are combined into a straight line set Z, W>1; When W=2, the straight line set Z is composed of a straight line line-1 and a straight line line-2, and the intersection point of the straight line line-1 and the straight line line-2 is a center point center-1; After the straight line line-1 is translated by a distance Y along a first preset direction, a tangent point A1 is obtained, and a straight line A1B1 is obtained; after the straight line line-2 is translated by a distance Y along a second preset direction, a tangent point A2 is obtained, and a straight line A2F2 is obtained; According to the tangent point A1, the tangent point A2, the center point center-1, the straight line A1B1, and the straight line A2F2, a welding contour is obtained, and the product to be welded is welded along the welding contour during welding to obtain a finished product.

4. The method of claim 2, wherein, A fixed-size welding track can also be welded, and there is a reference straight line line-0 in the W straight lines L. After the reference straight line line-0 is translated by a distance Y, a straight line line-01 is obtained, and the straight line line-01 is parallel to or has an included angle α with the reference straight line line-0.

5. The method of claim 1, wherein, After the size of the finished product is detected, the qualified products and unqualified products are screened out, the steps include: Step 1: obtaining a 2D image of the welded product through a 2D camera, and obtaining a 3D image of the welded product from a 3D camera; Step 2: obtaining the edge lines of the reference X and the reference Y from the 2D image; taking the intersection of the reference X and the reference Y as the origin, wherein the reference X and the reference Y are perpendicular; taking the reference X as the X axis and the reference Y as the Y axis to form a 2D coordinate system; Step 3: similarly, obtaining the edge lines of the reference X and the reference Y from the 3D image to establish the same 3D coordinate system; Step 4: in the calibrated coordinate system, associating the 2D coordinate system and the 3D coordinate system; then, obtaining an average value D, including: Step S201, obtaining a 2D image and a 3D image of the current welded product; Step S202, obtaining the position of the weld inner edge S of the assembled material from the 2D image; Step S203, obtaining the position of the side wall C of the assembled material from the 3D image; Step S204, calculating the average distance D between all points of the weld inner edge S and the side wall C.

6. The method of claim 1, wherein, After obtaining the qualified assembled material, the product is obtained by laser welding the product to be welded through 3D visual guidance, including: Step S1, scanning different regions in the battery cell, and fitting a welding track according to the scanned points; Step S2, welding along the welding track by laser.

7. A battery, characterized by The material screening method is obtained by processing according to any one of claims 1-6.

8. A battery processing apparatus, characterized by, The battery processing device is used to execute the steps of the material screening method according to any one of claims 1-6.

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