CN220040288U - Battery cell welding quality detection device - Google Patents
Battery cell welding quality detection device Download PDFInfo
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- CN220040288U CN220040288U CN202321172115.XU CN202321172115U CN220040288U CN 220040288 U CN220040288 U CN 220040288U CN 202321172115 U CN202321172115 U CN 202321172115U CN 220040288 U CN220040288 U CN 220040288U
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- 238000003466 welding Methods 0.000 title claims abstract description 63
- 238000001514 detection method Methods 0.000 title claims description 22
- 230000005540 biological transmission Effects 0.000 claims abstract description 45
- 238000005286 illumination Methods 0.000 claims description 6
- 238000007689 inspection Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 11
- 230000007547 defect Effects 0.000 description 42
- 238000009434 installation Methods 0.000 description 8
- 238000013135 deep learning Methods 0.000 description 4
- 238000003384 imaging method Methods 0.000 description 4
- 238000013178 mathematical model Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000008451 emotion Effects 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000000877 morphologic effect Effects 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
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- 238000006467 substitution reaction Methods 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Abstract
The utility model discloses a device for detecting welding quality of an electric core, which comprises the following components: a bracket provided with a movable component; the first camera set comprises two inclined first 3D cameras which are symmetrically distributed along the length direction of the battery cell, and each first 3D camera is driven to move along the length or width direction of the battery cell through the movable assembly; the second camera set comprises two inclined second 3D cameras which are symmetrically distributed along the width direction of the battery cell, and each second 3D camera is driven to move along the length or width direction of the battery cell through the movable assembly; and the transmission module is erected below the first camera set and the second camera set and used for driving the battery cell to move along the length direction of the battery cell. The utility model can weaken noise interference in the scanning process and improve the scanning and detecting precision.
Description
Technical Field
The utility model relates to the field of power battery detection equipment, in particular to a device for detecting welding quality of an electric core.
Background
The quality of the laser welding seam of the top cover of the power battery determines the safety performance of the power battery, and 100% on-line detection is strictly realized in many factories. Most companies today still use workers to perform 100% manual inspection under a microscopic camera. This detection method is affected by the proficiency level of the worker, the emotion and the fatigue level of the worker. For some small defects such as pits, cracks, pinholes and the like, the killing is easy to occur. Particularly in those defects of high information, such as high or low welds, it is difficult to distinguish between the human eyes. In this case, new 3D machine vision techniques have been developed to replace manual detection.
However, the existing 3D machine adopts the method that the laser line of the camera is scanned at an angle of 45 degrees with the welding seam, so that when the receiver of the 3D camera scans certain two sides, the receiver is positioned at the inner side of the welding seam, and when the receiver scans other two sides, the receiver is positioned at the outer side of the welding seam. The point cloud data of two sides are clear, and the point cloud images of the other two sides have strong noise interference to influence the subsequent quality detection result.
Disclosure of Invention
In order to overcome the defects of the prior art, the utility model aims to provide the device for detecting the welding quality of the battery cell, which can weaken noise interference in the scanning process and improve the scanning and detecting precision.
The utility model adopts the following technical scheme:
a device for detecting the quality of a cell weld, comprising:
a bracket provided with a movable component;
the first camera set comprises two inclined first 3D cameras which are symmetrically distributed along the length direction of the battery cell, and each first 3D camera is driven to move along the length or width direction of the battery cell through the movable assembly;
the second camera set comprises two inclined second 3D cameras which are symmetrically distributed along the width direction of the battery cell, and each second 3D camera is driven to move along the length or width direction of the battery cell through the movable assembly;
and the transmission module is erected below the first camera set and the second camera set and used for driving the battery cell to move along the length direction of the battery cell.
Further, two of the first 3D cameras in the first camera set are distributed in a front-back staggered manner along the length direction of the battery cell, and the two first 3D cameras are inclined inwards and used for scanning different side long edges of the same battery cell.
Further, the transmitting end and the receiving end of the first 3D camera are located on the same side of the long side of the battery cell, and the transmitting end of the first 3D camera respectively sends laser to the left long side and the right long side of the battery cell at a fixed angle, and the reflected laser is received by the receiving end of the first 3D camera at an angle perpendicular to the long side of the battery cell.
Further, the number of the first camera groups is the same as the number of the transmission belts in the transmission module, the first camera groups are sequentially arranged in the width direction of the battery cells, and two adjacent first 3D cameras used for scanning long sides of different battery cells in the first camera groups are distributed in a staggered manner so as to scan the battery cells on the plurality of transmission belts simultaneously.
Further, the second camera is arranged in front of the first camera set, and the second 3D camera is driven by the movable assembly to move along the width direction of the battery cell when the battery cell advances along the length direction of the battery cell and is used for scanning the short side of the battery cell.
Further, the transmitting end and the receiving end of the second 3D camera are located on the same side of the short side of the battery cell, the transmitting end of the second 3D camera emits laser to the short side of the battery cell at a fixed angle, and the reflected laser is received by the receiving end of the second 3D camera at an angle perpendicular to the short side of the battery cell.
Further, guide brackets are arranged on the left side and the right side of the transmission belt, rollers are arranged on one side, close to the electric core, of the guide brackets, and the height of each roller is higher than the transmission surface of the transmission belt and lower than the height of the electric core on the transmission belt.
Further, a photoelectric sensor is further arranged on the transmission belt and used for detecting the position of the battery cell on the transmission belt.
Further, the support is also provided with a 2D camera, and the shooting view field range of the 2D camera coincides with the occupied range of the transmission belt.
Further, the 2D camera is further configured with an illumination light source for providing illumination when shooting the 2D camera.
Compared with the prior art, the utility model has the beneficial effects that:
in order to overcome the difficulty that the defects on the inner side and the outer side of the welding seam cannot be represented in the prior art, the camera installation part is inclined by an angle, and each camera forms an included angle with the scanned edge, so that both sides of the welding seam are shot; the welding line and the laser line of the 3D camera form a 90-degree angle, so that the laser line of the 3D camera and the welding line form a 45-degree angle scanning mode, the receiving end of each camera is guaranteed to be positioned in the middle of the welding line, clear images can be obtained on each side, signal interference is reduced, clear point cloud data images are provided for subsequent quality detection, and detection accuracy is improved.
Drawings
FIG. 1 is a schematic diagram of a three-dimensional structure of a device for detecting welding quality of a battery cell;
FIG. 2 is a front view of the device for detecting the welding quality of the battery cell of the utility model;
fig. 3 is a side view of the cell welding quality inspection device of the present utility model.
Detailed Description
The present utility model will be further described with reference to the accompanying drawings and detailed description, wherein it is to be understood that, on the premise of no conflict, the following embodiments or technical features may be arbitrarily combined to form new embodiments.
Example 1
The embodiment provides a battery cell welding quality detection device, replaces the manual work to carry out quality detection to power battery with the device, can reduce the signal interference that appears in the three-dimensional shooting process, improves the image definition to improve follow-up quality detection rate of accuracy.
As shown in fig. 1, the device mainly comprises the following components:
a bracket 300 provided with a movable assembly;
the first camera set comprises two inclined first 3D cameras which are symmetrically distributed along the length direction of the battery cell, and each first 3D camera is driven to move along the length or width direction of the battery cell through the movable assembly;
the second camera set comprises two inclined second 3D cameras which are symmetrically distributed along the width direction of the battery cell, and each second 3D camera is driven to move along the length or width direction of the battery cell through the movable assembly;
and the transmission module is erected below the first camera set and the second camera set and used for driving the battery cell to move along the length direction of the battery cell.
The support 300 may be a portal frame, and a movable assembly is disposed on the support 300, where the movable assembly includes a plurality of linear guide rails, and the installation position of the linear guide rails may be set according to actual requirements, so that only the first camera set and the second camera set may be ensured to reciprocate along the length direction of the battery core and the width direction of the battery core under the driving of the linear guide rails, so that the first camera set and the second camera set may be aligned to the battery core below the first camera set and the second camera set to scan, and corresponding point cloud data may be obtained.
In this embodiment, the first camera set includes two 3D cameras, which are the first 3D camera 101 and the first 3D camera 102 in fig. 1, respectively; referring to fig. 1 and 2, the first 3D camera 101 is inclined inwards, and the transmitting end and the receiving end of the first 3D camera 101 are both in the length direction of the battery cell and are used for shooting the long side of the battery cell below; the first 3D camera 102 is also inclined inwards, so that the first 3D camera 101 and the first 3D camera 102 are symmetrically distributed along the length direction of the battery cell, and the transmitting end and the receiving end of the first 3D camera 102 are also arranged along the length direction of the battery cell and are used for shooting the long side of the other side of the battery cell below the battery cell.
The first 3D camera 101 and the first 3D camera 102 which are symmetrical are collectively called as a first camera group, and when the battery cell moves along the length direction of the battery cell, two long sides of the battery cell can be scanned simultaneously through one group of the first camera group.
The traditional scanning mode adopts the camera laser line to scan with the welding seam at an angle of 45 degrees, and the method ensures that when the 3D camera receiver scans certain two sides, the receiver is arranged on the inner side of the welding seam, and when the other two sides are scanned, the receiver is arranged on the outer side of the welding seam, so that the point cloud data of the certain two sides are clear, and the point cloud images of the other two sides have strong noise interference. In order to reduce signal interference, the transmitting end and the receiving end of the two 3D cameras are required to be ensured to be positioned on the same side of the long side of the battery cell, and the transmitting end of the first 3D camera respectively transmits laser to the left long side and the right long side of the battery cell at a fixed angle, the reflected laser is received by the receiving end of the first 3D camera at an angle perpendicular to the long side of the battery cell, namely, a 90-degree angle between a welding line and a laser line of the 3D camera is maintained, a 45-degree angle scanning mode between the laser line of the 3D camera and the welding line is avoided, so that the receiving end of each camera is ensured to be positioned in the middle of the welding line, clear images can be obtained on each side, and signal interference can not occur.
In some embodiments, two first 3D cameras in the first camera set are staggered back and forth along the length direction of the battery cells, so that space can be saved, multiple groups of first camera sets are added in the width direction, and long sides of multiple battery cells can be scanned at the same time. Specifically, the number of the first camera groups is the same as the number of the transmission belts 400 in the transmission module, the first camera groups are sequentially arranged in the width direction of the battery cells, and two adjacent first 3D cameras used for scanning long sides of different battery cells in the first camera groups are distributed in a staggered manner so as to scan the battery cells on the plurality of transmission belts 400 at the same time. In fig. 1 to fig. 2, two sets of the first camera sets are provided, wherein in the two sets of the first camera sets, 3D cameras for scanning the long side on the left side of the battery cell are all located in front, and 3D cameras for scanning the long side on the right side of the battery cell are all located in back, and two 3D cameras between the two sets of the first camera sets are staggered front and back, so that more space can be saved in the width direction.
The first camera set is used for scanning the left and right long sides of the battery cell, the second camera set is used for scanning the front and rear short sides of the battery cell, the second camera set can be arranged in front of or behind the first camera set, the second camera set is composed of two 3D cameras, the second 3D camera 201 and the second 3D camera 202 are respectively shown in fig. 1 and 3, the installation azimuth of the second 3D camera 201 and the second 3D camera 202 is different from the camera installation azimuth of the first camera set, the second 3D camera 201 and the second 3D camera 202 are symmetrical along the width direction of the battery cell, the transmitting end and the receiving end of the second 3D camera 201 are positioned on the same side of the short sides of the battery cell, the transmitting end and the receiving end of the second 3D camera 202 are positioned on the other side of the short sides of the battery cell, the transmitting ends of the second 3D camera 201 and the second 3D camera 202 emit laser to the battery cell at a fixed angle, and the reflected laser is received by the corresponding receiving end of the battery cell at an angle perpendicular to the short sides of the battery cell, so that the transmitting end and the receiving end of the second 3D camera 201 and the receiving end are driven by the corresponding battery cell to move along the short sides of the battery cell along the width direction of the battery cell in the forward direction of the short sides of the battery cell, and the battery cell is used for driving the battery cell moving along the movable component.
And be equipped with the transmission module under first camera group and second camera group, the transmission module can be transmission band 400, and the electric core is placed on transmission band 400 and is transported along electric core length direction, passes through first camera group and second camera group below position in the transportation, can scan the long limit and the minor face of electric core by first camera group and second camera at this moment to obtain corresponding point cloud data. In this embodiment, two transmission belts 400 are adopted to simultaneously transmit the electric core, two groups of first camera units are simultaneously equipped to perform long-side scanning on the electric core on the two transmission belts 400, and a group of second camera units are utilized to simultaneously perform short-side scanning on the electric core on the two transmission belts 400, so that scanning efficiency is improved.
The left and right sides of the transmission belt 400 is provided with a guide bracket, one side, close to the battery cell, on the guide bracket is provided with a roller, the height of the roller is higher than the transmission surface of the transmission belt 400 and lower than the height of the battery cell on the transmission belt 400, and the roller is used for limiting the position of the battery cell on the transmission belt 400, avoiding the battery cell falling from the transmission belt 400, and simultaneously enabling the battery cell to accurately fall into the scanning range of the first camera set and the second camera set, so that the scanning precision is improved.
The transmission belt 400 is further provided with a photoelectric sensor for detecting the position of the battery cell on the transmission belt 400, and when the battery cell reaches the lower parts of the first camera set and the second camera set, the first camera set and the second camera set can be controlled to scan the battery cell, so that the accuracy is improved.
In addition, the system can be matched with 2D machine vision equipment, namely, a 2D camera is erected on the bracket 300, and the 2D camera is further provided with an illumination light source for providing illumination when shooting the 2D camera; the installation position of the 2D camera may be set according to practical situations, but it is required to ensure that the shooting field of view range of the 2D camera coincides with the range occupied by the conveyor belt 400, so as to combine 3D machine vision and 3D machine vision together, and improve welding quality detection accuracy.
The detection device of the embodiment specifically performs the following steps:
the battery cell is conveyed to the position right below the 3D camera imaging by the manipulator, the welding machine controller sends in-place information of the battery cell to the welding line detection system, after the welding line detection system receives the information, the first camera group is triggered to enter a collection state, a ready signal is sent to a movable assembly for collecting images, and after the movable assembly receives the collection signal, the movable assembly controls an internal movement mechanism to start to move at a specified speed to collect images; in addition, the 2D camera captures an image at a corresponding position according to the position trigger signal.
After the electric core is scanned through the device structure, the quality of the welding seam on the electric core can be detected based on data obtained through scanning, and the accuracy of detection and judgment is improved. The welding quality detection method comprises the following detection steps:
step S1: acquiring point cloud data shot by the first camera set and the second camera set in response to shooting signals, converting the point cloud data into depth images and displaying the depth images; the shooting signal may be initiated when the photoelectric sensor on the transmission belt 400 detects that the battery cell reaches the position right below the first camera set;
step S2: and positioning the length and width of the welding seam of the depth image to obtain a welding seam area, generating a profile contour line in the welding seam area, analyzing the height information of the profile contour line based on a pre-constructed welding seam defect model, and marking key characteristic points of the welding seam to judge whether the welding seam has defects.
Before defect identification, carrying out mathematical modeling on defects to be detected of a system, defining a mathematical model of each defect, wherein the closer the mathematical model of the defect is to the actual defect condition, the higher the accuracy of a judgment result is when searching the defect; the model is named as a weld defect model, and the construction steps are as follows:
and obtaining a defect image, classifying the defect image, performing morphological analysis and quantization treatment on defects in the image, and performing deep learning to construct the weld defect model.
Before processing the data, the camera installation angle is compensated and corrected, so that errors caused by the installation angle to a processing system are avoided.
Converting the acquired point cloud data into a depth image, setting three ROI areas, namely Top, measurement and Bottom3 ROIs according to the position of a welding line in the converted point cloud image, finding edge points in the Top ROI according to the gray level change condition of the image from Top to Bottom, and fitting the edge points into a straight line L1; similarly, an edge line L2 is found in the Measurement ROI, and an edge line L3 is found in the Bottom ROI. According to the linear equation: ax+by+c=0, and calculates an intersection point G1 of the two straight lines L1, L2, and an intersection point G2 of L2, L3, respectively; and (3) realizing coarse positioning of the welding seam in the length direction by the physical dimensions of the G1 and the G2 and the R angle, thereby obtaining a welding seam area with a plane dimension.
And setting a weld region ROI in the length direction of the weld according to the rough positioning result, wherein the length of the ROI is the length of the weld obtained by rough positioning, and then equally dividing the ROI into a plurality of sub-regions. Within each ROI sub-region, the cross-sectional profile of the ROI is generated equidistantly. On each profile line, searching for the inner edge point of the weld according to the characteristics of the weld, and according to f (x) -S < T, wherein: f (x) is the height value of the x position, S is the reference height value, and T is the edge threshold. And finding out the position x of the point meeting the condition, namely the inner edge of the welding seam, in the region of the ROI, thereby realizing the positioning of the welding seam in the width direction and obtaining the whole welding seam region.
In each weld region, key characteristic points (inner edge, outer edge, highest point, lowest point and the like of the weld) of the weld are found according to model characteristics of a pre-constructed weld defect model, and key characteristic values (highest point of the weld, lowest point of the weld, width of the weld and the like) are calculated. As the highest point of the weld, according to f (x) =h max The x position meeting the condition is the highest point of the welding seam. The lowest point of the weld was also calculated. When calculating the feature value by searching for the key feature points, the influence of removing some outliers needs to be considered, so that a value close to the actual value is obtained.
According to the weld defect model and the weld characteristic value, defect lengths such as pits, bulges, smaller weld widths, larger weld widths, pinholes, explosion points and the like which possibly exist in the weld are calculated, connectivity analysis is carried out on the possibly-occurring defect areas, and the defect lengths are determined again.
And carrying out secondary judgment on the defects with the possible defect lengths exceeding the preset specified range, and confirming whether the defects really exist or not through the secondary judgment. The secondary judgment condition is to judge according to the height change condition of the following area in the moving direction, and if the height change condition of the following area accords with the weld defect model, the defect is a true defect. And integrating the defect results obtained according to the steps in each region to obtain the judging result of the whole welding line.
In addition, whether the battery cell is in the 2D view field range or not can be detected, if so, the 2D camera is controlled to shoot the battery cell moving to the lower side of the battery cell, and therefore data acquired by the 2D camera are received; for 2D deep learning, classifying defects according to the deep learning characteristics, finding possible positions of the defects, and then carrying out post-treatment on the defects, namely carrying out secondary judgment on the defects, so as to obtain whether the product has the defects; and combining the 3D judgment result and the 2D judgment result to obtain whether the product has defects.
The battery cell welding quality detection device is mechanically matched with imaging, overcomes the defect that the inner side and the outer side of a welding line cannot be represented in the past, tilts a camera installation part by an angle when a mechanical mechanism is designed, and then converts a tilted point cloud into positive direction coordinates by a camera calibration method, so that the inner side welding line and the outer side welding line can be represented; the welding line and the laser line of the 3D camera form an angle of 90 degrees, so that the 3D camera laser line and the welding line form a 45-degree scanning mode, the receiving end of each camera is ensured to be positioned in the middle of the welding line, each side can obtain a clear image, and the signal interference condition can not occur; the 3D camera laser line and the welding line form a 90-degree scanning method, so that a complete R-angle image can be obtained, and meanwhile, noise generated in the point cloud acquisition process is reduced; the 3D camera and the camera receiver are always guaranteed to be on the same side when each line is scanned, the conditions that a certain edge is clear and a certain edge is noisy are avoided, and therefore high-quality images are obtained.
The 3D camera scanning plane and the cover top edge tangent line parallel mode scan the welding seam, be favorable to the 3D camera to scan the inboard and outside defect of welding seam simultaneously, reduce and overstock and leak the kill, the defect judge the rate of accuracy is high, the misjudgement rate is low. And the defects are directly searched through the mathematical model of the defects, and the whole defect searching process utilizes 3D point cloud information, so that the situation of misjudgment caused by changing 3D into 2D is avoided. Meanwhile, 2D imaging is adopted for small pinholes, cracks and blackening defects, the quality and resolution of image imaging are improved, and the accuracy of a judgment result is higher as more detection samples are detected by adopting a deep learning method.
The above embodiments are only preferred embodiments of the present utility model, and the scope of the present utility model is not limited thereto, but any insubstantial changes and substitutions made by those skilled in the art on the basis of the present utility model are intended to be within the scope of the present utility model as claimed.
Claims (10)
1. The utility model provides a battery cell welding quality detection device which characterized in that includes:
a bracket provided with a movable component;
the first camera set comprises two inclined first 3D cameras which are symmetrically distributed along the length direction of the battery cell, and each first 3D camera is driven to move along the length or width direction of the battery cell through the movable assembly;
the second camera set comprises two inclined second 3D cameras which are symmetrically distributed along the width direction of the battery cell, and each second 3D camera is driven to move along the length or width direction of the battery cell through the movable assembly;
and the transmission module is erected below the first camera set and the second camera set and used for driving the battery cell to move along the length direction of the battery cell.
2. The device for detecting welding quality of a battery cell according to claim 1, wherein two first 3D cameras in the first camera group are distributed in a front-back staggered manner along the length direction of the battery cell, and the two first 3D cameras are inclined inwards and used for scanning different side long edges of the same battery cell.
3. The device for detecting the welding quality of the battery cell according to claim 2, wherein the transmitting end and the receiving end of the first 3D camera are located on the same side of the long side of the battery cell, the transmitting end of the first 3D camera emits laser light to the left and right long sides of the battery cell respectively at a fixed angle, and the reflected laser light is received by the receiving end of the first 3D camera at an angle perpendicular to the long side of the battery cell.
4. The device for detecting welding quality of battery cells according to claim 3, wherein the number of the first camera groups is the same as the number of the transmission belts in the transmission module, the plurality of the first camera groups are sequentially arranged in the width direction of the battery cells, and two first 3D cameras used for scanning different sides and long sides of different battery cells in two adjacent first camera groups are distributed in a staggered manner so as to scan the battery cells on a plurality of transmission belts at the same time.
5. The device for detecting welding quality of a battery cell according to claim 1, wherein the second camera is arranged in front of the first camera group, and the second 3D camera moves along the width direction of the battery cell under the driving of the movable assembly when the battery cell advances along the length direction of the battery cell, so as to scan the short side of the battery cell.
6. The device for detecting the welding quality of a battery cell according to claim 5, wherein the transmitting end and the receiving end of the second 3D camera are located on the same side of the short side of the battery cell, the transmitting end of the second 3D camera emits laser light to the short side of the battery cell at a fixed angle, and the reflected laser light is received by the receiving end of the second 3D camera at an angle perpendicular to the short side of the battery cell.
7. The device for detecting the welding quality of the battery cell according to claim 1, wherein the transmission module comprises a transmission belt, guide brackets are arranged on the left side and the right side of the transmission belt, rollers are arranged on one side, close to the battery cell, of the guide brackets, and the rollers are higher than the transmission surface of the transmission belt and lower than the battery cell on the transmission belt.
8. The device for detecting the welding quality of the battery cell according to claim 7, wherein the transmission belt is further provided with a photoelectric sensor for detecting the position of the battery cell on the transmission belt.
9. The device for detecting the welding quality of the battery cell according to claim 7, wherein the support is further provided with a 2D camera, and a shooting view field range of the 2D camera coincides with a range occupied by the transmission belt.
10. The die-bonding quality inspection device according to claim 9, wherein the 2D camera is further configured with an illumination light source for providing illumination when photographing the 2D camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202321172115.XU CN220040288U (en) | 2023-05-15 | 2023-05-15 | Battery cell welding quality detection device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202321172115.XU CN220040288U (en) | 2023-05-15 | 2023-05-15 | Battery cell welding quality detection device |
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| CN220040288U true CN220040288U (en) | 2023-11-17 |
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| CN202321172115.XU Active CN220040288U (en) | 2023-05-15 | 2023-05-15 | Battery cell welding quality detection device |
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- 2023-05-15 CN CN202321172115.XU patent/CN220040288U/en active Active
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