Welding quality detection method, welding quality detection equipment and battery production line

Abstract

The invention relates to the technical field of battery manufacturing, and provides a welding quality detection method, welding quality detection equipment and a battery production line. The welding quality detection method comprises the steps that a welding area of a welding part is scanned; a first sensor and a second sensor are arranged on the two sides of the welding part in the thickness direction correspondingly, and the first distance between the first sensor and the second sensor is obtained; the first sensor and the second sensor are controlled to move in the welding area along the preset track, the second distance between the first sensor and one side of the welding part in the thickness direction is obtained, and the third distance between the second sensor and the other side of the welding part in the thickness direction is obtained; calculating the welding thickness value of the welding area according to the first distance, the second distance and the third distance; determining that the welding part has welding defects according to the fact that the welding thickness value is larger than a preset thickness threshold value. By means of the technical scheme, nondestructive quality detection of the welding part can be achieved, and the detection accuracy can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of battery manufacturing, and in particular to a welding quality detection method, welding quality detection equipment and a battery production line. Background Art

[0002] This section merely provides background information related to the present disclosure and is not necessarily prior art.

[0003] At present, ultrasonic welding technology is commonly used to weld the tabs and adapters of battery cells. If a cold weld occurs during ultrasonic welding, the contact resistance between the tabs and the adapter will increase greatly, causing a sharp increase in the internal polarization of the battery cell during high-rate charge and discharge, seriously endangering the safety of the battery and shortening its service life.

[0004] In the related art, the quality inspection of ultrasonic welding is usually carried out by manually pulling the welded parts after welding, and judging whether there is a cold weld in the welding area based on whether it is pulled apart. However, this method is not only time-consuming and labor-intensive, but also has manual measurement errors and increases the risk of product scrapping. Summary of the invention

[0005] The purpose of this application is to provide a welding quality detection method, welding quality detection equipment and battery production line, which are used to realize non-destructive detection of welding quality of welded parts, reduce manual measurement errors, and reduce the risk of product scrapping. This purpose is achieved through the following technical solutions:

[0006] In a first aspect, the present application provides a welding quality detection method, comprising: scanning a welding area of ​​a welded part; respectively setting a first sensor and a second sensor on both sides of the thickness direction of the welded part, and obtaining a first distance between the first sensor and the second sensor; controlling the first sensor and the second sensor to move within the welding area along a preset trajectory, obtaining a second distance between the first sensor and one side of the thickness direction of the welded part, and obtaining a third distance between the second sensor and the other side of the thickness direction of the welded part; calculating the welding thickness value of the welding area according to the first distance, the second distance and the third distance; and determining that the welded part has a welding defect according to the welding thickness value being greater than a preset thickness threshold.

[0007] According to the welding quality detection method provided in this embodiment, under normal circumstances, the welded parts can achieve atomic-level fusion under the action of ultrasonic welding, so they can be tightly combined with each other, and the thickness of the welding area is much smaller than the sum of the thicknesses of the two parts. However, when ultrasonic welding causes a cold weld, the welded parts are not obviously fused together, the connection between the two parts is weak, and the thickness value of the weld mark area is large. Therefore, the welding quality detection method provided in the embodiment of the present application is to respectively set a first sensor and a second sensor on both sides of the thickness direction of the weldment, so that the first distance between the first sensor and the second sensor can be measured in advance, and the first sensor is used to measure the second distance between it and the weldment on one side in the thickness direction, and the second sensor is used to measure the third distance between it and the weldment on the other side in the thickness direction, so that the welding thickness value of the welding area of ​​the weldment can be obtained according to the first distance, the second distance and the third distance. If the measured welding thickness value is greater than the preset thickness threshold, it indicates that there is a cold weld between the weldments, that is, there are defects in the welding quality. The entire detection process does not require manual pulling, thereby realizing non-destructive testing of the welding quality of the weldment, and reducing the risk of scrapping the weldment due to pulling, and eliminating the manual visual inspection method, which helps to improve the accuracy of welding quality detection of the weldment.

[0008] In addition, the welding quality detection method provided by the present application may also have the following additional technical features:

[0009] In some embodiments of the present application, the step of controlling the first sensor and the second sensor to move along a preset trajectory within the welding area includes: controlling the first sensor and the second sensor to move along a preset trajectory along a circumferential edge within the welding area.

[0010] In the above technical solution, during the ultrasonic welding process, cold welds usually occur due to incorrect welding parameter settings resulting in overall cold welds, or due to the welding head of the ultrasonic welding equipment being skewed during the welding process, resulting in the cold welds usually occurring at the edge of the welding area after the welding of the welded parts is completed. Therefore, by controlling the first sensor and the second sensor to move along the preset trajectory along the circumferential edge of the welding area to measure the welding thickness of the edge of the welding area, the accuracy of welding quality detection can be further improved.

[0011] In some embodiments of the present application, the step of controlling the first sensor and the second sensor to move along a preset trajectory along the circumferential edge of the welding area includes: setting a plurality of detection points at intervals along the circumferential edge of the welding area, controlling the first sensor and the second sensor to move to the plurality of detection points in sequence along the preset trajectory, and respectively obtaining the second distance and the third distance of each detection point, and calculating the welding thickness values ​​of the plurality of detection points based on the first distance, the second distance and the third distance of each detection point.

[0012] In the above technical solution, multiple detection points are set at intervals on the circumferential edge of the welding area, and the first sensor and the second sensor are controlled to move to the multiple detection points in sequence along the preset trajectory, so that the first sensor is used to measure the second distance corresponding to the multiple detection points, and the second sensor is used to measure the third distance corresponding to the multiple detection points, and then the welding thickness values ​​corresponding to the multiple detection points are calculated. If the welding thickness value corresponding to at least one of the multiple detection points is greater than the preset thickness threshold, it indicates that there is a defect in the welding quality of the welded part. Alternatively, the welding thickness values ​​corresponding to at least two of the multiple detection points are greater than the preset thickness threshold, indicating that there is a defect in the welding quality of the welded part.

[0013] In some embodiments of the present application, the welding quality detection method also includes: dividing the multiple detection points into two groups and arranging them on both sides of the welding area along the first direction, the multiple detection points on each side are arranged at intervals along the second direction, the second direction is arranged to intersect with the first direction, and along the second direction, the multiple detection points arranged on both sides of the first direction are staggered in sequence; controlling the first sensor and the second sensor to move to the multiple detection points set staggered in sequence along the preset trajectory, and obtaining the second distance and the third distance of each detection point in sequence, and calculating the welding thickness values ​​of the multiple detection points according to the first distance, the second distance and the third distance of each detection point.

[0014] In the above technical solution, multiple detection points are set on both sides of the welding area along the first direction, and the multiple detection points on both sides are staggered in sequence along the second direction, and then the first sensor and the second sensor are controlled to move in sequence along a preset trajectory to the multiple staggered detection positions, and the welding thickness values ​​of the multiple detection points are calculated. For example, if the welding thickness value of a certain detection point is greater than the preset thickness threshold, it means that there is a welding cold weld defect at the location of the point, so that it can quickly detect whether there is a cold weld at the edge of the welding area of ​​the welded part, which helps to improve the detection efficiency of welding quality.

[0015] In some embodiments of the present application, the first sensor and the second sensor are symmetrically arranged on both sides of the weldment in the thickness direction, and the first sensor and the second sensor are controlled to move synchronously.

[0016] In the above technical solution, the first sensor and the second sensor are symmetrically arranged on both sides of the weldment and move synchronously, which helps to improve the accuracy of the first sensor and the second sensor in measuring the welding thickness value of the welding area, thereby helping to further improve the accuracy of welding quality detection.

[0017] In some embodiments of the present application, the step of calculating the welding thickness value of the welding area based on the first distance, the second distance and the third distance includes: calculating the sum of the second distance and the third distance; subtracting the sum of the second distance and the third distance from the first distance to obtain the welding thickness value of the welding area.

[0018] In the above technical solution, the first distance is the installation distance between the first sensor and the second sensor. By subtracting the sum of the second distance and the third distance from the first distance, the welding thickness value of the welding area to be measured between the first sensor and the second sensor can be obtained. No manual visual inspection is required, and the measurement structure is more accurate.

[0019] In some embodiments of the present application, the welding quality detection method further includes: determining that the welding of the welded part is qualified based on the welding thickness value being not greater than the preset thickness threshold.

[0020] In the above technical solution, if the measured welding thickness value of the welding area is less than or equal to the preset thickness threshold, it means that the welding thickness value of the welded part meets the requirements, that is, the welding quality is qualified.

[0021] In the second aspect, the present application provides a welding detection device, comprising: a support table; a scanning component, arranged on the support table, for scanning the welding area of ​​the welded part; a thickness measuring component, arranged on the support table, the thickness measuring component comprising a fixed frame, a first sensor and a second sensor, the first sensor and the second sensor are arranged on the fixed frame opposite to and at intervals, and are configured to be arranged on both sides of the thickness direction of the welded part; a driving component, connected to the fixed frame, for driving the fixed frame to move along a preset trajectory within the welding area; a control device, electrically connected to the driving component, the first sensor and the second sensor.

[0022] According to the welding detection equipment provided by the present application, before measuring the welding thickness value of the welding area of ​​the welded part, a first distance installed between the first sensor and the second sensor can be pre-set, the first sensor is used to measure the first distance between it and one side of the thickness direction of the welded part, and the second sensor is used to measure the second distance between it and the other side of the thickness direction of the welded part. The control device is electrically connected to the first sensor and the second sensor, so that it can receive the second distance and the third distance measured by the first sensor and the second sensor in real time, and can determine whether there is a cold weld in the welding area according to whether the difference between the first distance and the sum of the second distance and the third distance is greater than a preset thickness threshold. For example, if the sum of the first distance minus the second distance and the third distance is greater than the preset thickness threshold, it means that there is a cold weld in the welded part; otherwise, it means that the welding quality is qualified.

[0023] In some embodiments of the present application, a plurality of detection points are spaced apart at the circumferential edge of the welding area, and the driving member is used to drive the first sensor and the second sensor to move to the plurality of detection points in sequence, and respectively measure the welding thickness values ​​of the plurality of detection points.

[0024] In the above technical solution, multiple detection points are set at intervals on the circumferential edge of the welding area, and the first sensor and the second sensor are controlled to move to the multiple detection points in sequence along the preset trajectory, and the welding thickness values ​​corresponding to the multiple detection points are measured. If the welding thickness value corresponding to at least one of the multiple detection points is greater than the preset thickness threshold, it indicates that there is a defect in the welding quality of the welded part. Alternatively, the welding thickness values ​​corresponding to at least two of the multiple detection points are greater than the preset thickness threshold, indicating that there is a defect in the welding quality of the welded part. .

[0025] In some embodiments of the present application, the first sensor and / or the second sensor include a laser sensor; and / or the driving member includes a linear motor.

[0026] In the above technical solution, the laser sensor can emit laser to the surface of the welding area, and then obtain the distance to the surface of the welding area based on the time difference of the reflected laser. The structure and principle are relatively simple, easy to implement, and the detection results are relatively accurate.

[0027] The linear motor is arranged on the support table and connected to the fixed frame, so that it can drive the fixed frame to drive the first sensor and the second sensor to move relative to the weldment along a preset trajectory, which helps to improve the stability of the movement of the first sensor and the second sensor, thereby helping to improve the detection efficiency and accuracy.

[0028] In some embodiments of the present application, the support platform is provided with a protective cover, and the protective cover is provided on the outer peripheral side of the scanning component, the thickness measuring component and the driving component.

[0029] In the above technical solution, the protective cover is arranged on the outside of the scanning component, the thickness measuring component and the driving component, which can not only reduce the noise pollution generated when the equipment is running, but also play a safety protection role to reduce the risk of the first sensor and the second sensor being hit by external objects, thereby improving the stability of the equipment operation.

[0030] In a third aspect, the present application provides a battery production line, comprising a welding inspection device as described in the implementation manner of the second aspect, the welding inspection device being used to perform welding quality inspection on welded parts of battery cells. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present application. Moreover, the same reference numerals are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0032] Figure 1 A schematic flow chart of a welding quality detection method provided in some embodiments of the present application;

[0033] Figure 2 A schematic flow chart of another welding quality detection method provided in some embodiments of the present application;

[0034] Figure 3 A schematic diagram of a structure in which a first sensor and a second sensor provided in some embodiments of the present application move along a preset trajectory along a circumferential edge within a welding area;

[0035] Figure 4 A schematic diagram of a structure in which a first sensor and a second sensor provided in some embodiments of the present application are located on both sides of a welded part in a thickness direction;

[0036] in, Figure 3 The direction of the X-axis of the mid-coordinate system represents the first direction, and the direction of the Y-axis represents the second direction, and Figure 3 The arrow directions in represent the moving trajectories of the first sensor and the second sensor.

[0037] The reference numerals are as follows:

[0038] 10. Welding part; 11. Welding area; 12. Detection point; 20. First sensor; 30. Second sensor. DETAILED DESCRIPTION

[0039] The following embodiments of the technical solution of the present application are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0040] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0041] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0042] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0043] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0044] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0045] In the description of the embodiments of the present application, the technical terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the embodiments of the present application.

[0046] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the internal connection of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0047] At present, from the perspective of market development, the application of battery devices is becoming more and more extensive. Battery devices are not only used in energy storage power systems such as hydropower, thermal power, wind power and solar power stations, but also widely used in electric vehicles such as electric bicycles, electric motorcycles, electric cars, as well as military equipment and aerospace and other fields. With the continuous expansion of the application field of battery devices, the market demand is also constantly expanding.

[0048] Among them, the battery device has one or more battery cells, and the tabs and adapters of the battery cells are usually welded and connected using ultrasonic welding technology. Ultrasonic welding converts electrical energy into mechanical energy, and uses the high-frequency oscillation of ultrasound to produce strong friction between the contact surfaces of the tabs and the adapter to remove surface oxides and generate heat, so that the welded parts are fused together to achieve solid-phase welding with gravitational bonding between atoms, and achieve good electrical conductivity between the tabs and the adapter. If ultrasonic welding has a cold weld, the contact resistance between the tabs and the adapter will be greatly increased, resulting in a sharp increase in the internal polarization of the battery cell during high-rate charging and discharging, seriously endangering the safety of the battery and shortening its service life cycle.

[0049] In the related art, the quality inspection of ultrasonic welding is usually carried out by manually pulling the welded parts after welding, and judging whether there is a cold weld in the welding area based on whether it is pulled apart. However, this method is not only time-consuming and labor-intensive, but also has manual measurement errors and increases the risk of product scrapping.

[0050] In order to solve the problem that ultrasonic welding quality detection uses manual measurement, which results in errors and the risk of scrapping, this application designs a welding quality detection method using.

[0051] The welding quality detection method disclosed in the embodiment of the present application can be used, but is not limited to, to detect the welding quality of the tab and the adapter of a battery cell, and can also be applied to the welding quality detection of other welded parts.

[0052] See also Figure 1 and Figure 4 , Figure 1 A schematic flow chart of a welding quality detection method provided in some embodiments of the present application; Figure 4 A schematic diagram of a structure in which a first sensor and a second sensor are located on both sides of a welded part in a thickness direction provided in some embodiments of the present application. An embodiment of the present application provides a welding quality detection method, comprising:

[0053] Step S10: Scanning the welding area of ​​the weldment.

[0054] Step S20: a first sensor and a second sensor are respectively arranged on both sides of the weldment in the thickness direction, and a first distance between the first sensor and the second sensor is acquired.

[0055] Step S30: Control the first sensor and the second sensor to move along a preset trajectory in the welding area, obtain a second distance between the first sensor and one side of the thickness direction of the weldment, and obtain a third distance between the second sensor and the other side of the thickness direction of the weldment.

[0056] Step S40: Calculate the welding thickness value of the welding area according to the first distance, the second distance and the third distance.

[0057] Step S50: determining that a welding defect exists in the welded part according to the welding thickness value being greater than a preset thickness threshold.

[0058] Illustratively, the welded parts may be the pole tabs and adapter plates of the battery cell, and the pole tabs and the adapter plates are welded and connected by ultrasonic welding.

[0059] Exemplarily, the first sensor and the second sensor are ranging sensors, for example, laser sensors.

[0060] Under normal circumstances, the welded parts can achieve atomic-level fusion under the action of ultrasonic welding, so they can be tightly combined with each other, and the thickness of the welding area is much smaller than the sum of the thicknesses of the two parts. However, when ultrasonic welding causes a cold weld, the welded parts are not obviously fused together, the connection between the two parts is weak, and the thickness of the weld mark area is large.

[0061] Based on this, the welding quality detection method provided in the embodiment of the present application is configured to respectively set a first sensor and a second sensor on both sides of the thickness direction of the welded part, so that a first distance between the first sensor and the second sensor can be measured in advance, and the first sensor is used to measure the second distance between the first sensor and the second sensor on one side of the thickness direction of the welded part, and the second sensor is used to measure the third distance between the first sensor and the second side of the thickness direction of the welded part, so that the welding thickness value of the welding area of ​​the welded part can be obtained according to the first distance, the second distance and the third distance. If the measured welding thickness value is greater than the preset thickness threshold, it indicates that there is a cold weld between the welded parts, that is, there are defects in the welding quality. The entire detection process does not require manual pulling, thereby realizing non-destructive testing of the welding quality of the welded parts, and reducing the risk of scrapping the welded parts due to pulling, and eliminating the manual visual inspection method, which helps to improve the accuracy of welding quality detection of welded parts.

[0062] According to some embodiments of the present application, the step of controlling the first sensor and the second sensor to move along a preset trajectory within the welding area includes: controlling the first sensor and the second sensor to move along the preset trajectory along a circumferential edge within the welding area.

[0063] During the ultrasonic welding process, cold welds usually occur due to incorrect welding parameter settings resulting in overall cold welds, or due to the welding head of the ultrasonic welding equipment being skewed during the welding process. As a result, after the welding of the welded parts is completed, the location of the cold weld usually appears at the edge of the welding area. Therefore, by controlling the first sensor and the second sensor to move along the preset trajectory along the circumferential edge of the welding area to measure the welding thickness of the edge of the welding area, the accuracy of welding quality detection can be further improved.

[0064] According to some embodiments of the present application, the step of controlling the first sensor and the second sensor to move along a preset trajectory on the circumferential edge within the welding area includes: setting a plurality of detection points at intervals on the circumferential edge within the welding area, controlling the first sensor and the second sensor to move to the plurality of detection points in sequence along the preset trajectory, and respectively obtaining the second distance and the third distance of each detection point, and calculating the welding thickness values ​​of the plurality of detection points based on the first distance, the second distance and the third distance of each detection point.

[0065] By setting multiple detection points at intervals on the circumferential edge of the welding area, and controlling the first sensor and the second sensor to move to the multiple detection points in sequence along the preset trajectory, the first sensor is used to measure the second distance corresponding to the multiple detection points, and the second sensor is used to measure the third distance corresponding to the multiple detection points, and then the welding thickness values ​​corresponding to the multiple detection points are calculated. If the welding thickness value corresponding to at least one of the multiple detection points is greater than the preset thickness threshold, it indicates that the welding quality of the welded part is defective. Alternatively, the welding thickness values ​​corresponding to at least two of the multiple detection points are greater than the preset thickness threshold, indicating that the welding quality of the welded part is defective.

[0066] See also Figure 3 , Figure 3 A schematic diagram of a structure in which the first sensor and the second sensor provided in some embodiments of the present application move along a preset trajectory along the circumferential edge of the welding area. According to some embodiments of the present application, the welding quality detection method further includes: dividing a plurality of detection points into two groups and setting them on both sides of the welding area along the first direction, a plurality of detection points on each side are arranged at intervals along the second direction, the second direction intersects with the first direction, and along the second direction, a plurality of detection points arranged on both sides of the first direction are sequentially staggered; controlling the first sensor and the second sensor to move sequentially along the preset trajectory to the plurality of detection points set in the staggered manner, and sequentially obtaining the second distance and the third distance of each detection point, and calculating the welding thickness values ​​of the plurality of detection points according to the first distance, the second distance and the third distance of each detection point.

[0067] See also Figure 3 The preset trajectory can be moving from a starting detection point located on one side of the first direction to a detection point adjacent and offset on the other side of the first direction, and then moving from the point to a detection point adjacent and offset on the opposite side, so as to detect one by one.

[0068] By setting a plurality of detection points on both sides of a first direction X in a welding area, and staggering the detection points on both sides in sequence along a second direction Y, and then controlling the first sensor and the second sensor to move in sequence along a preset trajectory to a plurality of staggered detection positions, and calculating the welding thickness values ​​of the plurality of detection points, for example, if the welding thickness value of a certain detection point is greater than a preset thickness threshold, it indicates that there is a defect of a cold weld at the location of the point, so that it is possible to quickly detect whether there is a cold weld at the edge of the welding area of ​​the welded part, thereby helping to improve the detection efficiency of welding quality.

[0069] According to some embodiments of the present application, the first sensor and the second sensor are symmetrically arranged on both sides of the weldment in the thickness direction, and the first sensor and the second sensor are controlled to move synchronously.

[0070] The first sensor and the second sensor are symmetrically arranged on both sides of the weldment and move synchronously, which helps to improve the accuracy of the first sensor and the second sensor in measuring the welding thickness value of the welding area, thereby helping to further improve the accuracy of welding quality detection.

[0071] According to some embodiments of the present application, the step of calculating the welding thickness value of the welding area according to the first distance, the second distance and the third distance includes: calculating the sum of the second distance and the third distance; subtracting the sum of the second distance and the third distance from the first distance to obtain the welding thickness value of the welding area.

[0072] See also Figure 4 , Figure 4 Where L represents the first distance, A represents the second distance, B represents the third distance, and T represents the welding thickness value of the welded part.

[0073] The first distance is the installation distance between the first sensor and the second sensor. By subtracting the sum of the second distance and the third distance from the first distance, the welding thickness value of the welding area to be measured between the first sensor and the second sensor can be obtained. No manual visual inspection is required, and the measurement structure is more accurate.

[0074] See also Figure 2 , Figure 2 A flow chart of another welding quality detection method provided for some embodiments of the present application. According to some embodiments of the present application, the welding quality detection method further includes:

[0075] Step S60: Determine that the welding of the welded part is qualified based on the welding thickness value being not greater than a preset thickness threshold.

[0076] If the measured welding thickness value of the welding area is less than or equal to the preset thickness threshold, it means that the welding thickness value of the welded part meets the requirements, that is, the welding quality is qualified.

[0077] According to some embodiments of the present application, the present application also provides a welding detection device, including: a support table, a scanning component, a thickness measuring component, a driving component and a control device. Among them, the scanning component is arranged on the support table, and is used to scan the welding area 11 of the welded part 10; the thickness measuring component is arranged on the support table, and the thickness measuring component includes a fixed frame, a first sensor 20 and a second sensor 30, and the first sensor 20 and the second sensor 30 are arranged on the fixed frame oppositely and spaced apart, and are configured to be arranged on both sides of the thickness direction of the welded part 10; the driving component is connected to the fixed frame, and is used to drive the fixed frame to move along a preset trajectory in the welding area 11; the control device is electrically connected to the driving component, the first sensor 20 and the second sensor 30.

[0078] Exemplarily, the support platform may be arranged on the support frame. The fixed frame may be a C-shaped frame.

[0079] Exemplarily, a fixing mechanism for fixing the weldment may also be provided on the support platform.

[0080] According to the welding detection equipment provided by the present application, before measuring the welding thickness value of the welding area 11 of the welded part 10, the first distance installed between the first sensor 20 and the second sensor 30 can be pre-set, the first sensor 20 is used to measure the first distance between it and the welded part 10 on one side in the thickness direction, and the second sensor 30 is used to measure the second distance between it and the welded part 10 on the other side in the thickness direction. The control device is electrically connected to the first sensor 20 and the second sensor 30, so that it can receive the second distance and the third distance measured by the first sensor 20 and the second sensor 30 in real time, and can determine whether there is a cold weld in the welding area 11 according to whether the difference between the first distance and the sum of the second distance and the third distance is greater than the preset thickness threshold. For example, if the sum of the first distance minus the second distance and the third distance is greater than the preset thickness threshold, it means that there is a cold weld in the welded part 10; otherwise, it means that the welding quality is qualified.

[0081] According to some embodiments of the present application, a plurality of detection points 12 are arranged at intervals on the circumferential edge of the welding area 11, and the driving member is used to drive the first sensor 20 and the second sensor 30 to move to the plurality of detection points 12 in sequence, and respectively obtain the second distance and the third distance of each detection point, and calculate the welding thickness values ​​of the plurality of detection points 12 according to the first distance, the second distance and the third distance of each detection point.

[0082] By setting a plurality of detection points 12 at intervals on the circumferential edge of the welding area 11, and controlling the first sensor 20 and the second sensor 30 to move to the plurality of detection points 12 in sequence along a preset trajectory, and measuring the welding thickness values ​​corresponding to the plurality of detection points 12, if the welding thickness value corresponding to at least one detection point 12 among the plurality of detection points 12 is greater than the preset thickness threshold, it indicates that there is a defect in the welding quality of the welded part 10. Alternatively, the welding thickness values ​​corresponding to at least two detection points 12 among the plurality of detection points 12 may be greater than the preset thickness threshold, indicating that there is a defect in the welding quality of the welded part 10.

[0083] According to some embodiments of the present application, the first sensor 20 and / or the second sensor 30 includes a laser sensor; and the driving element includes a linear motor.

[0084] The laser sensor can emit laser to the surface of the welding area 11, and then obtain the distance to the surface of the welding area 11 based on the time difference of the reflected laser. The structure and principle are relatively simple, easy to implement, and the detection result is relatively accurate.

[0085] The linear motor is arranged on the support table and connected to the fixed frame, so that it can drive the fixed frame to drive the first sensor 20 and the second sensor 30 to move relative to the welding part 10 along a preset trajectory, which helps to improve the stability of the movement of the first sensor 20 and the second sensor 30, thereby helping to improve the detection efficiency and accuracy.

[0086] According to some embodiments of the present application, the support platform is provided with a protective cover, and the protective cover is provided on the outer peripheral side of the scanning component, the thickness measuring component and the driving component.

[0087] The protective cover is arranged on the outside of the scanning part, the thickness measuring component and the driving part, which can not only reduce the noise pollution generated when the equipment is running, but also play a safety protection role to reduce the risk of the first sensor 20 and the second sensor 30 being hit by external objects, thereby improving the stability of the equipment operation.

[0088] According to some embodiments of the present application, the present application further provides a battery production line, including a welding detection device as described in the above embodiment, the welding detection device is used to perform welding quality detection on a welding part 10 of a battery cell.

[0089] The battery production line provided according to the embodiment of the present application includes the welding detection equipment described in the above embodiment, and therefore also has the technical effects of any of the above embodiments, which will not be repeated here.

[0090] According to some embodiments of the present application, see Figures 1 to 3 , the present application provides a welding quality detection method, comprising:

[0091] Scan the weld area of ​​a weldment.

[0092] A first sensor and a second sensor are respectively arranged on both sides of the weldment in a thickness direction, and a first distance between the first sensor and the second sensor is acquired.

[0093] A plurality of detection points are arranged at intervals along the circumferential edge within the welding area, and the first sensor and the second sensor are controlled to move to the plurality of detection points in sequence along a preset trajectory, and the welding thickness values ​​of the plurality of detection points are measured respectively, so as to obtain the second distance between the first sensor corresponding to the plurality of detection points and one side of the thickness direction of the weldment, and obtain the third distance between the second sensor and the other side of the thickness direction of the weldment.

[0094] The sum of the second distance and the third distance is calculated, and the welding thickness value of the welding area is obtained by subtracting the sum of the second distance and the third distance from the first distance.

[0095] According to the welding thickness value being greater than a preset thickness threshold, it is determined that the welded part has welding defects.

[0096] The welding of the welded part is determined to be qualified based on the welding thickness value being no greater than a preset thickness threshold.

[0097] The above is only a preferred specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A welding quality detection method, characterized in that: include: Scan the welding area of ​​the weldment; Disposing a first sensor and a second sensor on both sides of the weldment in a thickness direction, respectively, and acquiring a first distance between the first sensor and the second sensor; Controlling the first sensor and the second sensor to move along a preset track within the welding area, obtaining a second distance between the first sensor and one side of the welding part in the thickness direction, and obtaining a third distance between the second sensor and the other side of the welding part in the thickness direction; Calculate the welding thickness value of the welding area according to the first distance, the second distance and the third distance; According to the welding thickness value being greater than a preset thickness threshold, it is determined that the welded part has a welding defect.

2. The welding quality detection method according to claim 1, characterized in that: The step of controlling the first sensor and the second sensor to move along a preset track within the welding area comprises: The first sensor and the second sensor are controlled to move along a preset track along a circumferential edge of the welding area.

3. The welding quality detection method according to claim 2, characterized in that: The step of controlling the first sensor and the second sensor to move along a preset trajectory along the circumferential edge of the welding area comprises: A plurality of detection points are set at intervals on the circumferential edge within the welding area, and the first sensor and the second sensor are controlled to move to the plurality of detection points in sequence along a preset trajectory, and the second distance and the third distance of each detection point are respectively obtained, and the welding thickness values ​​of the plurality of detection points are calculated based on the first distance, the second distance and the third distance of each detection point.

4. The welding quality detection method according to claim 3, characterized in that: The welding quality detection method also includes: The plurality of detection points are divided into two groups and arranged on both sides of the welding area along the first direction, the plurality of detection points on each side are arranged at intervals along the second direction, the second direction is arranged to intersect with the first direction, and along the second direction, the plurality of detection points arranged on both sides of the first direction are arranged in a staggered manner in sequence; Control the first sensor and the second sensor to move in sequence to the multiple detection points set in an offset manner along the plane where the first and second directions are located, and obtain the second distance and the third distance of each detection point in sequence, and calculate the welding thickness values ​​of the multiple detection points based on the first distance, the second distance and the third distance of each detection point.

5. The welding quality detection method according to any one of claims 1 to 4, characterized in that: The first sensor and the second sensor are symmetrically arranged on both sides of the welding part in the thickness direction, and the first sensor and the second sensor are controlled to move synchronously.

6. The welding quality detection method according to any one of claims 1 to 4, characterized in that: The step of calculating the welding thickness value of the welding area according to the first distance, the second distance and the third distance comprises: Calculating the sum of the second distance and the third distance; The welding thickness value of the welding area is obtained by subtracting the sum of the second distance and the third distance from the first distance.

7. The welding quality detection method according to any one of claims 1 to 4, characterized in that: The welding quality detection method further includes: determining that the welding of the welded part is qualified according to that the welding thickness value is not greater than the preset thickness threshold.

8. A welding detection device, characterized in that: include: Support table; A scanning part, arranged on the supporting platform, for scanning the welding area of ​​the welding part; A thickness measuring assembly is arranged on the support platform, the thickness measuring assembly comprises a fixing frame, a first sensor and a second sensor, the first sensor and the second sensor are arranged on the fixing frame opposite to each other and spaced apart, and are configured to be arranged on both sides of the thickness direction of the weldment; A driving member connected to the fixing frame, and used to drive the fixing frame to move along a preset track within the welding area; A control device is electrically connected to the driving member, the first sensor and the second sensor.

9. The welding detection equipment according to claim 8, characterized in that: A plurality of detection points are arranged at intervals on the circumferential edge of the welding area, and the driving member is used to drive the first sensor and the second sensor to move to the plurality of detection points in sequence, and respectively obtain the second distance and the third distance of each detection point, and calculate the welding thickness values ​​of the plurality of detection points according to the first distance, the second distance and the third distance of each detection point.

10. The welding detection equipment according to claim 8 or 9, characterized in that: The first sensor and / or the second sensor comprises a laser sensor; And / or, the driving member includes a linear motor.

11. The welding detection equipment according to claim 8 or 9, characterized in that: The support platform is provided with a protective cover, and the protective cover is arranged on the outer peripheral sides of the scanning component, the thickness measuring component and the driving component.

12. A battery production line, characterized in that: The welding detection device comprises the welding detection device described in any one of claims 8 to 11, and is used for detecting the welding quality of the welded parts of the battery cell.

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