Battery detection apparatus, detection method, battery production apparatus and method

Abstract

The application provides a battery detection device, a detection method, a battery production device and a method. The battery detection device comprises a radiation source, a detector, a bearing component and a detection unit. The bearing component is arranged between the radiation source and the detector and is used to bear a battery to be detected. The radiation emitted by the radiation source is projected to the detector through the battery to be detected placed on the bearing component. The detector is used to obtain a first detection image and a second detection image of the battery to be detected based on the received radiation. The radiation source is used to be located on one side of a first surface of the battery to be detected to obtain the first detection image of the battery to be detected. The radiation source is also used to be located on the other side of a second surface of the battery to be detected to obtain the second detection image of the battery to be detected. The first surface and the second surface are opposite to the first detection image and the second detection image and are used to detect defects of the battery to be detected.

Description

Technical Field

[0001] This application relates to the field of battery technology, and in particular to a battery testing device, testing method, battery production equipment and method. Background Technology

[0002] Energy conservation and emission reduction are key to the sustainable development of the automotive industry, and electric vehicles, due to their energy-saving and environmentally friendly advantages, have become an important component of this sustainable development. For electric vehicles, battery technology is a crucial factor in their development.

[0003] Batteries can develop various defects during the manufacturing process, which can affect their quality and safety. Therefore, defect detection is crucial. However, current defect detection methods suffer from low accuracy. Summary of the Invention

[0004] This application aims to at least address one of the technical problems existing in the background art. Therefore, one objective of this application is to provide a battery testing device, testing method, battery production equipment, and method to solve the problem of inaccurate detection of battery defects in related technologies.

[0005] An embodiment of the first aspect of this application provides a battery testing device, which includes an X-ray source, a detector, a support component, and a testing unit. The support component is disposed between the X-ray source and the detector and is used to support a battery under test. X-rays emitted by the X-ray source are projected onto the detector through the battery under test placed on the support component. The detector is used to acquire a test image of the battery under test based on the received X-rays. The test image includes a first test image and a second test image. The X-ray source is configured to be located on one side of the battery under test placed on the support component to acquire the first test image of the battery under test. The X-ray source is also configured to be located on the other side of the battery under test placed on the support component to acquire the second test image of the battery under test. The first surface and the second surface are opposite to each other. The first test image and the second test image are used to perform defect detection on the battery under test.

[0006] In the technical solution of this application embodiment, by acquiring a first detection image and a second detection image of the battery under test on one side of the opposite first surface and the other side of the opposite second surface, and performing defect detection on the battery under test based on the first detection image and the second detection image, the problem that the battery defect cannot be detected due to the overlap between the defect of the battery under test and the distorted area in the detection image can be solved, thereby improving the accuracy of the defect detection result of the battery under test.

[0007] In some embodiments, the detection unit is connected to a detector and is used to perform defect detection on the battery under test based on a first detection image and a second detection image. Using the detection unit to perform defect detection on the battery under test can improve the efficiency of defect detection.

[0008] In some embodiments, the battery testing equipment includes a first driving mechanism for driving a carrier component to rotate, thereby switching the relative position of the X-ray source and the battery under test placed on the carrier component, such that the X-ray source is located on one side of the first surface of the battery under test or on the other side of the second surface of the battery under test. By driving the carrier component to rotate through the first driving mechanism, the X-ray source can be positioned on the side of the first surface of the battery under test to obtain a first inspection image of the battery under test, and on the side of the second surface of the battery under test to obtain a second inspection image of the battery under test. This simplifies the process of acquiring inspection images of the battery under test, thereby improving the efficiency of defect detection of the battery under test.

[0009] In some embodiments, the battery testing equipment further includes a second drive mechanism configured to drive the X-ray source and detector to move, thereby switching the positional relationship between the X-ray source and detector relative to the supporting component, such that the X-ray source is located on one side of the first surface of the battery under test or on the other side of the second surface of the battery under test. Driving the X-ray source and detector with the second drive mechanism makes the battery testing equipment more flexible and allows for more diverse methods of acquiring images of the battery under test, thus improving the efficiency of defect detection in the battery under test.

[0010] In some embodiments, the battery testing equipment further includes a mechanical gripper configured to flip the battery under test placed on a support member, such that the X-ray source is located on either the side containing the first surface of the battery or the side containing the second surface. By flipping the battery under test on the support member using the mechanical gripper, the X-ray source can be positioned on the side containing the first surface to obtain a first inspection image of the battery under test, and on the side containing the second surface to obtain a second inspection image of the battery under test. Since only the battery under test needs to be flipped, this is easy to implement and has high flipping efficiency, thereby improving the efficiency of defect detection of the battery under test.

[0011] In some embodiments, the carrier component includes a carrier surface for supporting the battery under test, and the height direction of the battery under test placed on the carrier component is perpendicular to the carrier surface. By making the height direction of the battery under test placed on the carrier component perpendicular to the carrier surface, it is easier for the mechanical gripper to grasp the battery under test.

[0012] In some embodiments, the battery testing device includes multiple support components and a circular guide rail. The support components are configured to move sequentially along the circular guide rail between the X-ray source and the detector. By configuring the multiple support components to move sequentially along the circular guide rail between the X-ray source and the detector, the efficiency of the battery testing device in detecting defects in the battery under test can be improved.

[0013] In some embodiments, the focal diameter D of the X-ray source satisfies: 0.5mm ≤ D ≤ 0.9mm. This satisfies the requirements for image resolution while shortening the capture time, making it more suitable for production line use.

[0014] In some embodiments, the edge of the projection area of ​​the radiation emitted by the radiation source on the plane of the detector is located inside the edge of the radiation detector. Selecting a larger detector can increase the magnification of the battery under test in the detection image, facilitating the detection unit to detect defects in the battery through the detection image, while also reducing the number of times the detection image needs to be captured.

[0015] In some embodiments, the battery testing equipment further includes a testing platform, on which an X-ray source and a support component are disposed. By placing the X-ray source and the support component on the testing platform, the structure of the battery testing equipment can be made more stable.

[0016] A second aspect of this application provides a battery testing method, which includes the battery cell described in the above embodiments. The testing method includes: acquiring a testing image of the battery under test obtained by photographing under X-ray source irradiation, wherein the testing image includes a first testing image and a second testing image, the first testing image being an image acquired from the side where the X-ray source is located on a first surface of the battery under test, and the second testing image being an image acquired from the other side where the X-ray source is located on a second surface of the battery under test, with the first surface and the second surface opposite to each other; and performing defect detection on the battery under test based on the first and second testing images to obtain defect information of the battery under test.

[0017] In some embodiments of this application, by acquiring a first detection image and a second detection image of the battery under test on one side of the opposite first surface and the other side of the opposite second surface, and performing defect detection on the battery under test based on the first detection image and the second detection image, the problem that the battery defect cannot be detected due to the overlap between the defect of the battery under test and the distorted area in the detection image can be solved, thereby improving the accuracy of the defect detection result of the battery under test.

[0018] In some embodiments, performing defect detection on the battery under test based on a first detection image and a second detection image to obtain defect information of the battery under test includes: simultaneously inputting the first detection image and the second detection image into a defect detection model to obtain the defect information of the battery under test output by the defect detection model. By simultaneously inputting the first detection image and the second detection image into the defect detection model to obtain the defect information of the battery under test output by the defect detection model, the efficiency of defect detection of the battery under test can be improved.

[0019] In some embodiments, the training process of the defect detection model includes: acquiring sample detection images of a sample battery obtained by photographing under X-ray source irradiation, wherein the sample detection images include a first sample detection image and a second sample detection image, the first sample detection image being an image acquired from the side where the X-ray source is located on the first surface of the sample battery, and the second sample detection image being an image acquired from the other side where the X-ray source is located on the second surface of the sample battery; labeling the true defect information in the first and second sample detection images; simultaneously inputting the first and second sample detection images into the defect detection model to obtain the predicted defect information of the sample battery output by the defect detection model; calculating a loss value based on the true defect information and the predicted defect information; and adjusting the parameters of the defect detection model based on the loss value. After calculating the loss value based on the true defect information and the predicted defect information, the defect detection model is trained according to the loss value, and the relevant parameters in the defect detection model are adjusted so that the defect detection model learns the difference between the predicted defect information and the true defect information based on the loss value during the iteration process, more clearly identifying the true defect information, so that when the defect detection model performs defect detection on the battery under test, it can output the same defect information as the true defect information, and the detected defect information is more accurate.

[0020] In some embodiments, defect information includes defect type and defect quantity. Including defect type and defect quantity in the defect information can make the defect detection results more explicit.

[0021] An embodiment of the third aspect of this application provides a battery testing apparatus, comprising: an image acquisition module configured to acquire a test image of a battery under test obtained by taking pictures under irradiation by a radiation source, wherein the test image includes a first test image and a second test image, the first test image being an image acquired from the side where the radiation source is located on a first surface of the battery under test, and the second test image being an image acquired from the other side where the radiation source is located on a second surface of the battery under test, the first surface and the second surface being opposite to each other; and a defect detection module configured to perform defect detection on the battery under test based on the first test image and the second test image to obtain defect information of the battery under test.

[0022] A fourth aspect of this application provides a method for manufacturing a battery, the method comprising: performing defect detection on a battery under test using the battery testing method described in the above embodiments. Using the battery testing method described in the above embodiments to perform defect detection on the battery under test can improve the efficiency and accuracy of defect detection results.

[0023] In some embodiments, the battery production method further includes: rejecting defective batteries in response to a test result indicating that the battery under test is defective. Rejecting defective batteries in response to a test result indicating that the battery under test is defective is suitable for large-scale batch production testing and can, to some extent, prevent defective batteries from entering the market.

[0024] An embodiment of the fifth aspect of this application provides an electronic device, including at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the battery detection method or the battery production method described in the above embodiments.

[0025] A sixth aspect of this application provides a battery manufacturing apparatus, including the electronic equipment described in the above embodiments.

[0026] A seventh aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the battery detection method or the battery production method described in the above embodiments.

[0027] An embodiment of the eighth aspect of this application provides a computer program product, including a computer program that, when executed by a processor, implements the battery detection method or the battery production method described in the above embodiments.

[0028] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0029] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the various drawings denote the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings depict only some embodiments disclosed in this application and should not be construed as limiting the scope of this application.

[0030] Figure 1A schematic diagram of the structure of a battery testing device provided for some embodiments of this application;

[0031] Figure 2 An imaging schematic diagram of a battery under test provided for some embodiments of this application;

[0032] Figure 3 A schematic diagram of a test image of a battery under test provided for some embodiments of this application;

[0033] Figure 4 A schematic diagram of a first detection image provided for some embodiments of this application;

[0034] Figure 5 Schematic diagram of a second detection image provided for some embodiments of this application;

[0035] Figure 6 A schematic diagram of the structure of a battery testing device provided for other embodiments of this application;

[0036] Figure 7 A schematic diagram of the structure of a ring guide rail is provided for some embodiments of this application;

[0037] Figure 8 A schematic diagram of another battery testing device provided for some embodiments of this application;

[0038] Figure 9 Flowcharts of battery detection methods provided for some embodiments of this application;

[0039] Figure 10 A flowchart illustrating the training process of a defect detection model provided for some embodiments of this application;

[0040] Figure 11 Block diagram of a battery detection device provided for some embodiments of this application;

[0041] Figure 12 A flowchart of a battery manufacturing method provided for some embodiments of this application;

[0042] Figure 13 A flowchart of another battery manufacturing method provided for some embodiments of this application.

[0043] Explanation of reference numerals in the attached figures:

[0044] 100. Battery testing equipment; 110. X-ray source; 130. Detector; 120. Supporting component; 140. Testing unit; 150. Battery under test; 151. First surface; 152. Second surface; 160. Circular guide rail; 170. Testing platform; 310. First image; 320. Second image; 330. Distortion area. Detailed Implementation

[0045] The embodiments of the technical solution of this application will now be described in detail with reference to the accompanying drawings. These embodiments are only used to more clearly illustrate the technical solution of this application and are therefore merely examples, and should not be used to limit the scope of protection of this application.

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0047] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0048] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0049] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0050] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0051] In the description of the embodiments of this application, the technical terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the embodiments of this application and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of this application.

[0052] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0053] Currently, judging from market trends, the application of power batteries is becoming increasingly widespread. Power batteries are not only used in energy storage systems such as hydropower, thermal power, wind power, and solar power plants, but also extensively used in electric vehicles such as electric bicycles, electric motorcycles, and electric cars, as well as in military equipment and aerospace. With the continuous expansion of power battery applications, market demand is also constantly increasing.

[0054] A battery consists of one or more cells. The battery manufacturing process includes electrode coating, cell winding, cell casing, and electrolyte injection. Various defects can occur during battery manufacturing, such as wrinkled electrodes, folded electrodes, cracked electrodes, and overlapping electrodes. These defects affect the battery's quality and safety. Therefore, defect detection in batteries is of great importance.

[0055] In some inspection scenarios, X-ray sources and detectors can be used to detect defects in batteries. The X-rays emitted by the X-ray source pass through the battery and are imaged on the detector. Defects in the battery (such as wrinkled electrodes, folded heads, cracked electrodes, and overlapping electrodes) will cause the X-rays to penetrate to different thicknesses and attenuate to different degrees. Therefore, the defects in the battery will be displayed in the inspection image of the battery in the form of grayscale differences.

[0056] However, as the number of cells in a battery increases, the thickness of the cells also increases. Due to the imaging principle of X-rays and the influence of battery thickness, distorted areas will exist in the battery inspection image. If the battery defect is located in these distorted areas, it may not be detected, thus affecting the accuracy of detecting internal defects in the battery and resulting in a lower accuracy rate for battery defect detection.

[0057] Therefore, it is necessary to provide a battery testing device, a testing method, a battery production device, and a method to address the aforementioned technical problems.

[0058] The battery testing equipment disclosed in this application can be applied to both individual battery cells and finished batteries. It can be applied to, but is not limited to, the testing process during battery production. The battery testing equipment of this application can detect defects in batteries by using the detection images of two opposing surfaces of the battery, thereby improving the accuracy of battery defect detection.

[0059] Figure 1 A schematic diagram of the structure of a battery testing device is provided for some embodiments of this application, such as... Figure 1 As shown, the battery testing device 100 includes a radiation source 110, a detector 130, and a support component 120. The support component 120 is disposed between the radiation source 110 and the detector 130 and is used to support the battery 150 under test. Radiation emitted by the radiation source 110 is projected onto the detector 130 through the battery 150 under test placed on the support component 120. The detector 130 is used to acquire a test image of the battery 150 under test based on the received radiation. The test image includes a first test image and a second test image. The radiation source 110 is configured to be located on one side of the first surface of the battery 150 under test placed on the support component 120 to acquire the first test image of the battery 150 under test. The radiation source 110 is also configured to be located on the other side of the second surface of the battery 150 under test placed on the support component 120 to acquire the second test image of the battery 150 under test. The first surface and the second surface are opposite each other. The first test image and the second test image are used to perform defect detection on the battery under test.

[0060] In some embodiments of this application, the radiation source 110 refers to a device capable of emitting radiation. It is understood that the radiation emitted by the radiation source 110 can be X-rays, alpha rays, beta rays, gamma rays, etc., and this application does not impose any limitations. This application uses X-rays emitted by the radiation source 110 as an example.

[0061] In some embodiments of this application, the X-ray detector can be a flat panel detector or a TDI (Tim Delay Integration) detector. The flat panel detector is an area array detector capable of directly imaging the irradiated X-rays. The TDI detector is a linear image sensor that achieves high-speed, high-resolution image acquisition by aligning the pixel rows of the image sensor perpendicular to the direction of motion of the object being detected. Detector 130 can convert the received X-ray energy into a recordable electrical signal. By measuring the amount of X-rays received by detector 130, an electrical signal proportional to the amount of X-rays is generated, thereby forming a corresponding image. Exemplarily, detector 130 may include three parts: a X-ray conversion module, a photoelectric conversion module, and a signal readout and transmission module. The X-ray conversion module converts the received X-rays into an optical signal, the photoelectric conversion module converts the optical signal into an electrical signal, and the signal readout and transmission module forms a corresponding image based on the electrical signal.

[0062] In some embodiments of this application, during the testing of the battery 150 by the battery testing device 100, the battery 150 is placed within the radiation area of ​​the radiation source 110. The radiation emitted by the radiation source 110 exits through the radiation window, passes through the battery 150, and is projected onto the detector 130. The detector 130 receives the radiation transmitted through the battery 150 and images the battery 150 to obtain a test image. The test image of the battery 150 obtained by the detector 130 can be a grayscale image, a color image, etc., and this application does not impose any limitations.

[0063] This application describes the battery under test 150 as a square battery, but the battery under test 150 can also be a cylindrical battery, an irregularly shaped battery, etc.

[0064] Figure 2 An imaging schematic diagram of a battery under test is provided for some embodiments of this application. Figure 3 This is a schematic diagram of a test image of a battery under test, provided for some embodiments of this application. For example... Figure 2 As shown, the rays emitted by the X-ray source 110 are projected onto the detector 130 through the battery under test 150. It can be seen from the figure that the thickness of the battery under test 150 varies in the surrounding area, and the positions of the rays after passing through the battery under test 150 and projecting onto the detector 130 are also different. Therefore, the detector 130 obtains a distorted detection image of the battery under test 150 based on the received rays. Figure 3 As shown, Figure 3 The detection image is obtained by taking a picture of the side where the X-ray source 110 is located on the first surface 151 of the battery under test 150. Figure 3The image includes a first image 310 formed by the first surface 151 of the battery under test 150, and a second image 320 formed by the second surface 152 of the battery under test 150. The area between the first image 310 formed by the first surface 151 and the second image 320 formed by the second surface 152 can be a distorted area of ​​the detection image of the battery under test 150. The distorted area is affected by the thickness of the battery under test 150. The thicker the battery under test 150, the larger the range of the distorted area.

[0065] To eliminate the influence of distorted areas in the inspection image of the battery under test 150 on the results of defect detection of the battery under test 150, inspection images of two opposite surfaces of the battery under test 150 can be acquired. In this embodiment, the battery inspection device includes a driving mechanism that drives the carrier component 120 to rotate and / or drives the X-ray source 110 and detector 130 to move, so that the X-ray source 110 is located on one side of the first surface 151 of the battery under test 150 placed on the carrier component 120 or on the other side of the second surface 152 of the battery under test 150 placed on the carrier component 120, thereby enabling the acquisition of inspection images of two opposite surfaces of the battery under test 150.

[0066] Figure 4 A schematic diagram of a first detection image provided for some embodiments of this application. Figure 5 This is a schematic diagram of a second detection image provided for some embodiments of this application. The relative position of the X-ray source 110 and the battery under test 150 can vary. The X-ray source 110 can be located on the side where the first surface 151 of the battery under test 150 is located, or it can be located on the side where the second surface 152 of the battery under test 150 is located, opposite to the first surface. When the X-ray source 110 is located on the side where the first surface 151 of the battery under test 150 is located, a first detection image of the battery under test 150 can be obtained, such as... Figure 5 As shown, the figure includes the distorted region 330. When the X-ray source 110 is also located on the other side of the second surface 152 of the battery under test 150, a second detection image of the battery under test 150 can be acquired, as shown... Figure 6 As shown, the figure includes the distortion region 330. The change in the relative position of the X-ray source 110 and the battery under test 150 can be achieved by rotating the supporting component 120, by moving the positions of the X-ray source 110 and the detector 130, or by flipping the battery under test 150.

[0067] In some embodiments of this application, the carrier component 120 may be fixed, and the battery under test 150 remains stationary when the carrier component 120 carries the battery under test 150; the carrier component 120 may also be rotatable. In this case, the carrier component 120 may include a receiving groove for accommodating the battery under test 150, so that the carrier component 120 can drive the battery under test 150 to rotate simultaneously when it rotates.

[0068] In some embodiments of this application, the battery under test 150 may be placed on the support member 120 in a flat manner (the thickness direction of the battery under test 150 placed on the support member 120 is perpendicular to the support surface of the support member 120), or the battery under test 150 may be placed on the support member 120 in a vertical manner (the height direction of the battery under test 150 placed on the support member 120 is perpendicular to the support surface of the support member 120). The embodiments of the present invention do not impose specific limitations on this.

[0069] In this embodiment of the application, by acquiring a first detection image and a second detection image of the battery under test 150 on the side where the first surface 151 and the second surface 152 are located, and performing defect detection on the battery under test 150 based on the first detection image and the second detection image, the problem that the battery defect cannot be detected due to the overlap between the defect of the battery under test 150 and the distorted area in the detection image can be solved, thereby improving the accuracy of the defect detection result of the battery under test 150.

[0070] Figure 6 A schematic diagram of the structure of a battery testing device is provided for some embodiments of this application, such as... Figure 6 As shown, the battery testing device 100 further includes a testing unit 140 connected to the detector 130. The testing unit 140 is used to perform defect detection on the battery 150 under test based on the first detection image and the second detection image.

[0071] In some embodiments of this application, the detection unit 140 may be a smart terminal such as a PC, tablet computer, or mobile terminal used to perform defect detection on the battery 150 under test, or it may be a server used to perform defect detection on the battery 150 under test; the server may be a local server or a cloud server, and the embodiments of the present invention do not impose specific limitations on this.

[0072] The detection unit 140 can be wired or wirelessly connected to the detector 130. After the detector 130 acquires the first and second detection images of the battery under test 150, it sends these images to the detection unit 140. The detection unit 140 can then perform defect detection on the battery under test 150 based on these images. The defect detection operation performed by the detection unit 140 can be performed using a defect detection model or a recognition algorithm, which can be selected according to the specific application and requirements. For example, to achieve defect detection of the battery under test 150, the detection unit 140 can store a pre-trained defect detection model. After acquiring the first and second detection images, the detection unit 140 inputs them into the pre-trained defect detection model. Through processing by the defect detection model, the defect detection information of the battery under test 150 is obtained.

[0073] In this embodiment of the application, the detection unit 140 performs defect detection on the battery under test 150, which can improve the efficiency of defect detection on the battery under test 150.

[0074] According to some embodiments of this application, the battery testing device includes a first driving mechanism. The first driving mechanism is used to drive the carrier component 120 to rotate, so as to switch the relative position of the X-ray source 110 and the battery under test 150 placed on the carrier component 120, such that the X-ray source 110 is located on one side of the first surface of the battery under test 150 or on the other side of the second surface of the battery under test 150.

[0075] In some embodiments of this application, the first drive mechanism can be any type of mechanism capable of driving the load-bearing component to rotate, such as a motor.

[0076] In some embodiments of this application, the battery under test 150 can be fixedly placed on a supporting component. When the first driving mechanism drives the supporting component to rotate, the battery under test 150 will rotate along with the rotation of the supporting component. For example, the X-ray source 110 is located on the side where the first surface of the battery under test 150 is located. When the first driving mechanism drives the supporting component to rotate, the battery under test 150 will rotate along with the rotation of the supporting component, and the X-ray source 110 can be located on the side where the second surface of the battery under test 150 is located. As the first driving mechanism continues to drive the supporting component to rotate, the X-ray source 110 can again be located on the side where the first surface of the battery under test 150 is located.

[0077] In this embodiment of the application, by driving the bearing component to rotate through the first driving mechanism, the X-ray source 110 can be positioned on the side of the first surface of the battery under test 150 to obtain the first detection image of the battery under test 150 and on the side of the second surface of the battery under test 150 to obtain the second detection image of the battery under test 150. This simplifies the process of acquiring the detection image of the battery under test 150 and thus improves the efficiency of defect detection of the battery under test 150.

[0078] According to some embodiments of this application, the battery testing device 100 further includes a second driving mechanism configured to drive the X-ray source 110 and the detector 130 to move, thereby switching the positional relationship between the X-ray source 110 and the detector 130 relative to the support member 120, such that the X-ray source 110 is located on one side of the first surface of the battery under test 150 or on the other side of the second surface of the battery under test 150.

[0079] In some embodiments of this application, the second driving mechanism can be any type of mechanism capable of driving the X-ray source 110 and the detector 130 to move, such as a motor. The second driving mechanism can drive the X-ray source 110 and the detector 130 to move simultaneously, or it can drive the X-ray source 110 or the detector 130 to move separately. For example, the second driving mechanism can drive the X-ray source 110 to move first, and then drive the detector 130 to move after the X-ray source 110 has moved to the corresponding position. Alternatively, the second driving mechanism can drive the detector 130 to move first, and then drive the X-ray source 110 to move after the detector 130 has moved to the corresponding position.

[0080] In some embodiments of this application, the position of the supporting component 120 remains stationary, that is, the position of the battery under test 150 remains stationary. The second driving mechanism drives the X-ray source 110 and the detector 130 to move. When the X-ray source 110 is located on the side where the first surface of the battery under test 150 is located, the detector 130 is located on the side where the second surface of the battery under test 150 is located; similarly, when the detector 130 is located on the side where the first surface of the battery under test 150 is located, the X-ray source 110 is located on the side where the second surface of the battery under test 150 is located.

[0081] In this embodiment, the second driving mechanism drives the X-ray source 110 and the detector 130 to move, making the battery testing device 100 more flexible and the acquisition of the test image of the battery 150 under test more diversified, thereby improving the efficiency of defect detection of the battery 150 under test.

[0082] According to some embodiments of this application, the battery testing device 100 further includes a mechanical gripper configured to flip the battery 150 to be tested, which is placed on the carrier 120, such that the X-ray source 110 is located on the side where the first surface 151 of the battery 150 is located or on the other side where the second surface 152 of the battery 150 is located.

[0083] In some embodiments of this application, a mechanical gripper is used to grasp the battery 150 under test and flip it over. This application does not impose specific limitations on the material and shape of the mechanical gripper.

[0084] In some embodiments of this application, the positions of the radiation source 110, detector 130, and support component 120 can remain unchanged. The battery under test 150 can be placed on the support component 120, and the state of the battery under test 150 can be movable. The mechanical gripper can flip the battery under test 150 placed on the support component 120, so that the radiation source 110 is located on the side where the first surface 151 of the battery under test 150 is located or on the other side where the second surface 152 of the battery under test 150 is located.

[0085] In this embodiment, the battery under test 150 placed on the carrier component 120 is flipped by a mechanical gripper, so that the X-ray source 110 can be located on the side where the first surface of the battery under test 150 is located to obtain a first detection image of the battery under test 150 and on the side where the second surface of the battery under test 150 is located to obtain a second detection image of the battery under test 150. Since only the battery under test 150 needs to be flipped, it is easy to implement and has high flipping efficiency, thereby improving the efficiency of defect detection of the battery under test 150.

[0086] According to some embodiments of this application, the carrier component 120 includes a carrier surface for carrying the battery under test 150, and the height direction of the battery under test 150 placed on the carrier component 120 is perpendicular to the carrier surface.

[0087] In some embodiments of this application, the carrier component 120 includes a carrier surface for carrying the battery under test 150, which can be a horizontal surface. The battery under test 150 can be placed on the carrier surface of the carrier component 120, and the height direction of the battery under test 150 can be perpendicular to the carrier surface, that is, the battery under test 150 can be placed vertically on the carrier surface.

[0088] In this embodiment, by making the height direction of the battery 150 to be tested placed on the carrier component 120 perpendicular to the carrier surface, the mechanical gripper can more easily grasp the battery 150 to be tested.

[0089] Figure 6 A schematic diagram of a battery detection structure is provided for some embodiments of this application, such as... Figure 6As shown, the battery testing device 100 includes multiple support components 120 and an annular guide rail 160. The multiple support components 120 are configured to move sequentially along the annular guide rail 160 between the radiation source 110 and the detector 130.

[0090] In some embodiments of this application, multiple carrier components 120 can be equally spaced on an annular guide rail 160. The multiple carrier components 120 can move along the annular guide rail 160 and move sequentially between the radiation source 110 and the detector 130, thereby driving the battery under test 150 to move between the radiation source 110 and the detector 130.

[0091] In some embodiments of this application, the supporting component 120 may be fixedly mounted on the annular guide rail 160 or may be movably mounted on the annular guide rail 160.

[0092] In this embodiment of the application, by configuring multiple supporting components 120 to be able to move sequentially along the annular guide rail 160 between the X-ray source 110 and the detector 130, the efficiency of the battery testing device 100 in detecting defects in the battery 150 under test can be improved.

[0093] According to some embodiments of this application, the focal diameter D of the radiation source 110 satisfies: 0.5mm ≤ D ≤ 0.9mm.

[0094] In some embodiments of this application, the focal size of the X-ray source 110 is generally classified as large focal, small focal, and micro focal. The smaller the focal size of the X-ray source 110, the higher the image resolution and the clearer the image. In this embodiment, when performing defect detection on the battery 150 under test, it is only necessary to determine whether a defect exists in the detection image of the battery 150, rather than determining the specific size of the defect. Therefore, the resolution of part of the image can be reduced to improve imaging brightness and shorten the shooting time; that is, a small focal length X-ray source 110 can be selected. For example, a 150kV small focal length X-ray source 110 can be used. Simultaneously, a composite material can be used to shield the low-energy soft X-rays at the X-ray tube opening, reducing the impact caused by soft X-rays and improving the contrast-to-noise ratio.

[0095] In this embodiment, an X-ray source 110 with a focal diameter of 0.5mm≤D≤0.9mm is used, which can meet the requirements for the resolution of the detection image and shorten the shooting time, making it more suitable for use in production lines.

[0096] According to some embodiments of this application, the edge of the projection area of ​​the radiation emitted by the radiation source 110 on the plane where the detector 130 is located is located inside the edge of the radiation detector 130.

[0097] In some embodiments of this application, for example, the detector 130 can be an amorphous silicon flat panel detector with a pixel size of 139 μm and the thickness of the detector scintillator layer can be increased from the original 500 μm to 700 μm. This type of detector has the advantages of high conversion efficiency and wide dynamic range.

[0098] In some embodiments of this application, by selecting a larger detector 130, for example, replacing a detector with a size of 210mm×210mm with a detector with a size of 250mm×300mm, the magnification of the battery under test 150 in the detection image can be increased, making it easier for the detection unit 140 to detect defects in the battery under test 150 through the detection image, while also reducing the number of times the detection image is captured.

[0099] Figure 7 A schematic diagram of the structure of another battery testing device 100 provided for some embodiments of this application, such as... Figure 7 As shown, the battery testing equipment 100 also includes a testing platform 170, an X-ray source 110, and a support component 120 disposed on the testing platform 170.

[0100] In some embodiments of this application, the testing platform 170 may be a mechanical platform specifically designed for the battery testing process. By placing the X-ray source 110 and the support component 120 on the testing platform 170, the structure of the battery testing equipment 100 can be made more stable.

[0101] A second aspect of this application provides a battery detection method. Figure 9 Flowcharts of battery detection methods provided for some embodiments of this application, such as Figure 9 As shown, the detection method includes:

[0102] Step S910: Obtain a detection image of the battery under test obtained by taking pictures under the irradiation of the X-ray source. The detection image includes a first detection image and a second detection image. The first detection image is the image obtained when the X-ray source is located on the side where the first surface of the battery under test is located. The second detection image is the image obtained when the X-ray source is located on the other side where the second surface of the battery under test is located. The first surface and the second surface are opposite to each other.

[0103] Step S920: Perform defect detection on the battery under test based on the first detection image and the second detection image to obtain defect information of the battery under test.

[0104] In some embodiments of this application, defect detection of the battery under test can be performed using a defect detection model or an identification algorithm, which can be selected according to the actual application and needs. For example, to achieve defect detection of the battery under test, a defect detection model can be pre-trained to obtain a pre-trained defect detection model. After acquiring a first detection image and a second detection image, the first and second detection images are input into the pre-trained defect detection model. After processing by the defect detection model, defect detection information of the battery under test is obtained.

[0105] In this embodiment of the application, by acquiring a first detection image and a second detection image of the battery under test on the side where the first surface and the second surface are located, and performing defect detection on the battery under test based on the first detection image and the second detection image, the problem that the battery defect cannot be detected due to the overlap between the defect of the battery under test and the distorted area in the detection image can be solved, thereby improving the accuracy of the defect detection result of the battery under test.

[0106] According to some embodiments of this application, step S920 includes: simultaneously inputting the first detection image and the second detection image into the defect detection model to obtain the defect information of the battery under test output by the defect detection model.

[0107] In the embodiments of this application, the defect detection model can be a convolutional neural network (CNN), a recurrent neural network (RNN), or other deep learning networks, machine learning networks, etc.

[0108] In the embodiments of this application, the defect information of the battery under test may include electrode folds, electrode wrinkles, electrode dark marks, excessive electrode gaps, normal images, etc. The defect information of the battery under test may also include the number of defects.

[0109] The detection unit has a built-in defect detection model. This defect detection model can be a model trained by other computer devices based on multiple detection image samples and sent to the detection unit, or it can be a model trained by the detection unit based on multiple detection image samples.

[0110] It should be noted that a defect detection model can detect one or more types of defects.

[0111] In this embodiment of the application, by simultaneously inputting the first detection image and the second detection image into the defect detection model, the defect information of the battery under test output by the defect detection model can be obtained, which can improve the efficiency of defect detection of the battery under test.

[0112] Figure 10 A flowchart of the training process of the defect detection model provided for some embodiments of this application, such as... Figure 10 As shown, the training process of the defect detection model includes:

[0113] Step S1010: Obtain a sample detection image of the sample battery obtained by taking pictures under the irradiation of the X-ray source. The sample detection image includes a first sample detection image and a second sample detection image. The first sample detection image is the image obtained when the X-ray source is located on the side where the first surface of the sample battery is located, and the second sample detection image is the image obtained when the X-ray source is located on the other side where the second surface of the sample battery is located.

[0114] Step S1020: Mark the true defect information in the first sample detection image and the second sample detection image.

[0115] Step S1030: Input the first sample detection image and the second sample detection image into the defect detection model at the same time to obtain the predicted defect information of the sample battery output by the defect detection model.

[0116] Step S1040: Calculate the loss value based on the actual defect information and the predicted defect information.

[0117] Step S1050: Adjust the parameters of the defect detection model based on the loss value.

[0118] In some embodiments of this application, after calculating the loss value based on the real defect information and the predicted defect information, the defect detection model is trained based on the loss value, and the relevant parameters in the defect detection model are adjusted so that the defect detection model learns the difference between the predicted defect information and the real defect information based on the loss value during the iteration process, and more clearly defines the real defect information. This allows the defect detection model to output the same defect information as the real defect information when performing defect detection on the battery under test, and the detected defect information is more accurate.

[0119] According to some embodiments of this application, defect information includes defect type and defect quantity.

[0120] In some embodiments of this application, the defect information includes defect type and defect quantity. Specifically, defect type may include electrode wrinkling, head folding, electrode cracking, and electrode overlap, etc. The defect quantity may be the total number of defects detected in the battery under test, the quantity corresponding to each type of defect, or both the total number of defects and the quantity corresponding to each type of defect. The defect information may also include defect location information, which includes the horizontal and vertical coordinates of the defect on the image.

[0121] In this embodiment of the application, the defect information includes the type and quantity of defects, which can make the results of defect detection more explicit.

[0122] Some embodiments of the third aspect of this application provide a battery detection device. Figure 11 A block diagram of a battery detection device provided for some embodiments of this application. For example... Figure 11 As shown, the battery testing device includes: an image acquisition module 1101, configured to acquire a test image of the battery under test obtained by taking pictures under the irradiation of a radiation source, wherein the test image includes a first test image and a second test image, the first test image is an image acquired when the radiation source is located on one side of the battery under test 150 where the first surface 151 is located, and the second test image is an image acquired when the radiation source is located on the other side of the battery under test 150 where the second surface 152 is located, the first surface 151 and the second surface 152 are opposite to each other;

[0123] The defect detection module 1102 is configured to perform defect detection on the battery under test 150 based on the first detection image and the second detection image to obtain defect information of the battery under test 150.

[0124] In some embodiments, the defect detection module 1102 includes a defect detection submodule, configured to simultaneously input a first detection image and a second detection image into a defect detection model to obtain defect information of the battery 150 under test output by the defect detection model.

[0125] In some embodiments, the defect detection submodule includes: a sample detection image acquisition module configured to acquire a sample detection image of a sample battery obtained by taking pictures under the irradiation of a radiation source, wherein the sample detection image includes a first sample detection image and a second sample detection image, the first sample detection image being an image acquired on one side where the radiation source is located on the first surface of the sample battery, and the second sample detection image being an image acquired on the other side where the radiation source is located on the second surface of the sample battery; a labeling module configured to label the actual defect information in the first sample detection image and the second sample detection image; an input module configured to simultaneously input the first sample detection image and the second sample detection image into a defect detection model to obtain the predicted defect information of the sample battery output by the defect detection model; a calculation module configured to calculate a loss value based on the actual defect information and the predicted defect information; and an adjustment module configured to adjust the parameters of the defect detection model based on the loss value.

[0126] In some embodiments, defect information includes defect type and defect quantity.

[0127] An embodiment of the fourth aspect of this application provides a method for manufacturing a battery. Figure 12 A flowchart of a battery manufacturing method is provided for some embodiments of this application, such as... Figure 12As shown, the production method includes: step S1201: performing defect detection on the battery 150 to be tested using the battery detection method in the above embodiment.

[0128] In this embodiment, the battery detection method described in the above embodiment is used to perform defect detection on the battery 150 under test, which can improve the efficiency of defect detection and the accuracy of defect detection results.

[0129] According to some embodiments of this application, the battery production method further includes: step S1202: in response to the test result of the test battery 150 indicating that the test battery is defective, the defective battery is rejected.

[0130] In this embodiment, in response to a test result indicating that the battery under test 150 is defective, the defective battery under test 150 can be conveyed to the waste port; in response to a test result indicating that the battery under test 150 is defect-free, the defect-free battery under test 150 can be subjected to further testing. This battery production method is suitable for large-scale batch production testing and can, to a certain extent, prevent defective batteries from entering the market.

[0131] The battery detection method in this application will be further explained below with reference to a specific embodiment. This embodiment uses an X-ray source and a flat panel detector as an example. Figure 13 A flowchart of another battery manufacturing method provided for some embodiments of this application, such as Figure 13 As shown, the production method includes:

[0132] Step S1301: Perform bright and dark field calibration on the flat panel detector: calibrate the detector 130 in the battery testing device 100 to eliminate afterimages and dead pixels in the detector 130, so as to ensure that the acquired test image of the battery 150 is real and effective.

[0133] Step S1302: Measurement system calibration: The X-ray source 110, detector 130, support component 120 and detection unit 140 in the battery detection equipment 100 are calibrated together to ensure that the magnification of the detection image of the battery under test 150 remains unchanged.

[0134] Step S1303: Automatic loading by robotic arm: Place the battery to be tested 150 on the carrier component 120.

[0135] Step S1304: Automatic detection and image saving by the X-ray source: The X-ray emitted by the X-ray source 110 is projected onto the detector 130 through the battery under test 150 placed on the support component 120, and the detector 130 is used to acquire a detection image of the battery under test 150 based on the received X-ray, wherein the detection image includes a first detection image and a second detection image; the X-ray source 110 is configured to be located on one side of the battery under test 150 placed on the support component 120 to acquire the first detection image of the battery under test 150, and the X-ray source 110 is also configured to be located on the other side of the battery under test 150 placed on the support component 120 to acquire the second detection image of the battery under test 150, wherein the first surface and the second surface are opposite each other.

[0136] Step S1305: Algorithm judgment: The detection unit 140 performs defect detection on the battery under test 150 based on the first detection image and the second detection image. The first detection image and the second detection image can be simultaneously input into the defect detection model to obtain the defect information of the battery under test 150 output by the defect detection model.

[0137] Step S1306: OK products are pulled out, NG products are discharged: In response to the test result of the test battery 150 indicating that the test battery 150 is defective, the defective battery is rejected.

[0138] Some embodiments of this application provide an electronic device, including at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the battery detection method or the battery production method in the above embodiments.

[0139] Various embodiments of the systems and technologies described above in this application can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0140] This application provides a battery production apparatus, including the electronic equipment described in the above embodiments.

[0141] This application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the battery detection method or the battery production method described in the above embodiments.

[0142] Computer-readable media can be tangible media that may contain or store programs for use by or in conjunction with an instruction execution system, apparatus, or device. Machine-readable media can be machine-readable signal media or machine-readable storage media. Machine-readable media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0143] This application provides a computer program product, including a computer program that, when executed by a processor, implements the battery detection method or the battery production method described in the above embodiments.

[0144] The computer program product includes one or more computer instructions. When these computer instructions are loaded and executed on a computer, some or all of the methods described above can be implemented, in whole or in part, according to the processes or functions of the embodiments of this application.

[0145] The technical solution of this application will be further described below through a specific embodiment, such as... Figures 1 to 7As shown, the battery testing device 100 includes a radiation source 110, a detector 130, a support component 120 disposed between the radiation source 110 and the detector 130, and a testing unit 140. The focal diameter D of the radiation source 110 satisfies: 0.5mm ≤ D ≤ 0.9mm. The edge of the projection area of ​​the radiation emitted by the radiation source 110 on the plane where the detector 130 is located is located inside the edge of the detector 130. A carrier component 120 is used to carry the battery under test 150. X-rays emitted from a radiation source 110 are projected onto a detector 130 via the battery under test 150 placed on the carrier component 120. The detector 130 is used to acquire a detection image of the battery under test 150 based on the received radiation. The detection image includes a first detection image and a second detection image. The radiation source 110 is configured to be located on one side of the battery under test 150 placed on the carrier component 120 to acquire the first detection image of the battery under test 150. The radiation source 110 is also configured to be located on the other side of the battery under test 150 placed on the carrier component 120 to acquire the second detection image of the battery under test 150. The first surface and the second surface are opposite each other. A detection unit 140 is connected to the detector 130 and is used to perform defect detection on the battery under test 150 based on the first and second detection images.

[0146] The battery testing device 100 includes a first driving mechanism for driving a supporting component 120 to rotate, thereby switching the relative positions of the X-ray source 110 and the battery under test 150 placed on the supporting component 120, such that the X-ray source 110 is located on one side of the first surface of the battery under test 150 or on the other side of the second surface of the battery under test 150. The supporting component 120 includes a supporting surface for supporting the battery under test 150, and the height direction of the battery under test 150 placed on the supporting component 120 is perpendicular to the supporting surface.

[0147] The battery testing device 100 includes multiple support components 120 and an annular guide rail 160. The multiple support components 120 are configured to move sequentially along the annular guide rail 160 between the radiation source 110 and the detector 130.

[0148] The battery testing device 100 also includes a second drive mechanism configured to drive the X-ray source 110 and the detector 130 to switch the positional relationship between the X-ray source 110 and the detector 130 relative to the support member 120, such that the X-ray source 110 is located on one side of the first surface of the battery under test 150 or on the other side of the second surface of the battery under test 150.

[0149] The battery testing equipment 100 also includes a mechanical gripper configured to flip the battery 150 to be tested, which is placed on the carrier 120, such that the X-ray source 110 is located on one side of the first surface of the battery 150 or on the other side of the second surface of the battery 150.

[0150] The battery testing equipment 100 also includes a testing platform 170, an X-ray source 110, and a support component 120 disposed on the testing platform 170.

[0151] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and not to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and they should all be covered within the scope of the claims and specification of this application. In particular, as long as there is no structural conflict, the various technical features mentioned in the embodiments can be combined in any way. This application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A battery detection device, characterized by, include: X-ray source; detector; A support component, disposed between the radiation source and the detector, carries the battery under test. Radiation emitted from the radiation source is projected onto the detector through the battery under test placed on the support component. The detector acquires a detection image of the battery under test based on the received radiation. The detection images include a first detection image and a second detection image. The X-ray source is configured to be located on one side of the first surface of the battery under test placed on the support component to obtain the first detection image of the battery under test. The X-ray source is also configured to be located on the other side of the second surface of the battery under test placed on the support component to obtain the second detection image of the battery under test. The first surface and the second surface are opposite to each other. The first detection image and the second detection image are used to perform defect detection on the battery under test. A detection unit is connected to the detector. The detection unit stores a defect detection model. The defect detection model performs defect detection on the battery under test based on a first detection image and a second detection image that are input simultaneously.

2. The battery detection apparatus according to claim 1, characterized by The battery testing equipment further includes a first driving mechanism, which drives the supporting component to rotate to switch the relative position of the X-ray source and the battery under test placed on the supporting component, such that the X-ray source is located on one side of the first surface of the battery under test or on the other side of the second surface of the battery under test.

3. The battery detection apparatus according to claim 1, characterized by, The battery testing equipment further includes a second driving mechanism configured to drive the X-ray source and the detector to move, thereby switching the positional relationship between the X-ray source and the detector relative to the supporting component, such that the X-ray source is located on one side of the first surface of the battery under test or on the other side of the second surface of the battery under test.

4. The battery detection apparatus according to claim 1, characterized by The battery testing equipment also includes a mechanical gripper configured to flip the battery under test placed on the carrier component, such that the X-ray source is located on one side of the first surface of the battery under test or on the other side of the second surface of the battery under test.

5. The battery testing equipment according to claim 4, characterized in that, The supporting component includes a supporting surface for supporting the battery under test, and the height direction of the battery under test placed on the supporting component is perpendicular to the supporting surface.

6. The battery detection device according to any one of claims 1 to 5, characterized by, The battery testing device includes multiple supporting components and a ring rail. The multiple supporting components are configured to move sequentially along the ring rail between the radiation source and the detector.

7. The battery testing device according to any one of claims 1 to 5, characterized in that, The focal diameter D of the radiation source satisfies: 0.5mm ≤ D ≤ 0.9mm.

8. The battery detection device according to any one of claims 1 to 5, characterized by, The edge of the projection area of ​​the rays emitted by the ray source on the plane where the detector is located is inside the edge of the detector.

9. The battery detection apparatus according to any one of claims 1 to 5, characterized by, The battery testing equipment also includes: The detection platform, wherein the radiation source and the supporting component are disposed on the detection platform.

10. A battery detection method, characterized by, The method includes: Acquire detection images of a battery under test obtained by taking pictures under the irradiation of a radiation source, wherein the detection images include a first detection image and a second detection image, the first detection image is an image acquired when the radiation source is located on one side of the first surface of the battery under test, and the second detection image is an image acquired when the radiation source is located on the other side of the second surface of the battery under test, with the first surface and the second surface opposite to each other; Based on the first detection image and the second detection image, defect detection is performed on the battery under test. The first detection image and the second detection image are simultaneously input into the defect detection model to obtain the defect information of the battery under test output by the defect detection model.

11. The battery testing method according to claim 10, characterized in that, The training process of the defect detection model includes: A sample detection image of a sample battery is obtained by taking pictures under the irradiation of the X-ray source. The sample detection image includes a first sample detection image and a second sample detection image. The first sample detection image is an image obtained when the X-ray source is located on the side where the first surface of the sample battery is located, and the second sample detection image is an image obtained when the X-ray source is located on the other side where the second surface of the sample battery is located. Mark the true defect information in the first sample detection image and the second sample detection image; The first sample detection image and the second sample detection image are simultaneously input into the defect detection model to obtain the predicted defect information of the sample battery output by the defect detection model. Calculate the loss value based on the actual defect information and the predicted defect information; and The parameters of the defect detection model are adjusted based on the loss value.

12. The battery detection method according to claim 10 or 11, characterized by, The defect information includes the type and number of defects.

13. A battery testing device, characterized in that, Defect detection of the battery under test is performed using the method described in any one of claims 10 to 12; The device includes: The image acquisition module is configured to acquire a detection image of the battery under test obtained by taking pictures under the irradiation of a radiation source. The detection image includes a first detection image and a second detection image. The first detection image is an image acquired when the radiation source is located on one side of the battery under test with a first surface. The second detection image is an image acquired when the radiation source is located on the other side of the battery under test with a second surface. The first surface and the second surface are opposite to each other. The defect detection module is configured to perform defect detection on the battery under test based on the first detection image and the second detection image to obtain defect information of the battery under test.

14. A method of producing a battery, characterized by, The method includes: Defect detection of the battery under test is performed using the method described in any one of claims 10 to 12.

15. The method of claim 14, wherein, The method further includes: In response to the test result indicating that the battery under test is defective, the defective battery is rejected.

16. An electronic device, comprising: include: At least one processor; as well as A memory that is communicatively connected to the at least one processor; in The memory stores instructions executable by the at least one processor, which enable the at least one processor to perform the battery testing method of any one of claims 10 to 12 or the battery production method of claim 14 or 15.

17. A production apparatus of a battery, characterized by comprising: Including the electronic device as described in claim 16.

18. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the battery testing method according to any one of claims 10 to 12 or the battery production method according to claim 14 or 15.

19. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the battery testing method of any one of claims 10 to 12 or the battery manufacturing method of claim 14 or 15.

Images