Battery cell detection device and battery cell detection method

Abstract

The invention provides a battery cell detection device and a battery cell detection method. The cell detection device comprises: a first light source configured to provide first light to a to-be-detected cell, the first light being visible light; the second light source is configured to provide second light for the battery cell to be detected, and the second light is infrared light; the acquisition equipment is configured to obtain first image data of the to-be-detected battery cell under the condition that the first light is provided and second image data of the to-be-detected battery cell under the condition that the second light is provided; and the detection equipment is configured to detect the to-be-detected battery cell according to the first image data and the second image data.

Description

Technical Field

[0001] The present disclosure relates to the technical field of battery cell detection, and in particular to a battery cell detection device and a battery cell detection method. Background Art

[0002] In the production process of lithium batteries, it is necessary to conduct appearance inspection on the coated cells. For example, bubbles, wrinkles, pits, foreign matter in the film, and edge defects can be detected. With the increase in production capacity requirements, the requirements for equipment beats are also getting higher and higher. If the defective coated cells cannot be accurately detected, it may cause assembly abnormalities in the subsequent process, thus affecting the quality. Therefore, the defects of the cells can be detected by defect detection technology. However, in the related art, the defect detection technology of the cell cannot distinguish between the defects under the film and the defects on the film of the cell.

[0003] The above statements are merely intended to provide background information related to the present disclosure and do not necessarily constitute prior art. Summary of the invention

[0004] A technical problem solved by the present disclosure is that in the related art, the defect detection technology of the battery cell cannot distinguish between the defects under the membrane and the defects on the membrane of the battery cell.

[0005] According to one aspect of the present disclosure, a battery cell detection device is provided, including: a first light source, configured to provide a first light to a battery cell to be detected, wherein the first light is visible light; a second light source, configured to provide a second light to the battery cell to be detected, wherein the second light is infrared light; an acquisition device, configured to obtain first image data of the battery cell to be detected when the first light is provided and second image data of the battery cell to be detected when the second light is provided; and a detection device, configured to detect the battery cell to be detected based on the first image data and the second image data.

[0006] In the technical solution of the embodiment of the present application, a first light source capable of providing visible light and a second light source capable of providing infrared light are provided in the battery cell detection device. In this way, the acquisition equipment can obtain first image data of the battery cell to be detected under visible light irradiation and second image data of the battery cell to be detected under infrared light irradiation. Since the visible light is irradiated on the surface of the battery cell to be detected and the infrared light can penetrate into the interior of the battery cell to be detected, the detection equipment can distinguish whether the defect of the battery cell is a sub-membrane defect or an on-membrane defect when detecting the battery cell according to the first image data and the second image data, thereby improving the accuracy of battery cell defect detection.

[0007] In some embodiments, the battery cell detection device further includes: a controller configured to control the first light source, the second light source, and the acquisition device to start or shut down. By setting a controller in the battery cell detection device to control the first light source, the second light source, and the acquisition device to start or shut down, the automation level of the device can be improved.

[0008] In some embodiments, the controller is configured to send a stroboscopic control signal to the first light source and the second light source to control the first light source and the second light source to start and stop continuously when determining that the battery cell to be inspected has run to the inspection position, and send a collection signal to the collection device to control the collection device to collect the image of the battery cell to be inspected, and obtain the first image data and the second image data based on the image of the battery cell to be inspected. The controller controls the first light source and the second light source to start and stop continuously through the stroboscopic control signal, and controls the collection device to collect the image of the battery cell to be inspected through the collection signal, thereby realizing the image collection of the battery cell to be inspected, thereby facilitating defect detection of the battery cell.

[0009] In some embodiments, the first light source, the second light source and the acquisition device are located on the same side of the detection position where the battery cell to be detected is located. This facilitates the light source to illuminate the detection surface of the battery cell to be detected and the acquisition device to collect images of the detection surface, thereby facilitating the collection of image data of the battery cell to be detected and improving the accuracy of image data collection.

[0010] In some embodiments, the first light source includes a first sub-light source and a second sub-light source, and the first sub-light source and the second sub-light source are respectively configured to provide the first light to the battery cell to be inspected. By setting two light sources capable of providing visible light, image data under two visible lights can be obtained, so that in subsequent processing, the image data of the two visible light fields can be combined to make the defects of the coated battery cell with concave-convex deformation changes on the appearance present defect characteristics, reducing the problem of pits and foreign objects being over-inspected.

[0011] In some embodiments, the incident angle of the first light provided by the first sub-light source on the surface of the battery cell to be inspected is equal to the incident angle of the first light provided by the second sub-light source on the surface of the battery cell to be inspected. In this way, when the first sub-light source and the second sub-light source are irradiated, after obtaining the corresponding image data, the image data of the two visible light fields are combined to make the defects of the coated battery cell with concave-convex deformation changes on the appearance present defect characteristics, thereby reducing the problem of pits and foreign objects being over-inspected.

[0012] In some embodiments, the first sub-light source and the second sub-light source are respectively located on both sides of a virtual plane, and the virtual plane is perpendicular to the surface of the battery cell to be inspected and passes through the acquisition device. This helps to minimize the mutual influence between the first sub-light source and the second sub-light source when irradiating the surface of the battery cell to be inspected, thereby improving the accuracy of defect detection.

[0013] In some embodiments, the first sub-light source and the second sub-light source are symmetrically arranged relative to the virtual plane. This is conducive to obtaining image data of two symmetrical visible light fields, and through the combination of the image data of the two symmetrical visible light fields, the defects of the coated battery cell with concave-convex deformation changes on the appearance can present defect characteristics, reducing the problem of pits and foreign objects passing the inspection.

[0014] In some embodiments, the incident angle α of the first light provided by the first light source on the surface of the battery cell to be inspected is in the range of 0°<α<90°; the incident angle β of the second light provided by the second light source on the surface of the battery cell to be inspected is in the range of 0°<β<90°. Such incident angles facilitate the first light and the second light to be incident on the surface of the battery cell to be inspected, thereby facilitating the detection of battery cell defects.

[0015] In some embodiments, the detection device is configured to determine the first defect set of the battery cell to be detected based on the first image data, determine the second defect set of the battery cell to be detected based on the second image data, and determine the types of various defects in the battery cell to be detected based on the first defect set and the second defect set, wherein the first defect set includes one or more first defects, and the second defect set includes one or more second defects. In this way, the purpose of determining the types of various defects in the battery cell to be detected based on the first image data and the second image data is achieved, and the accuracy of battery cell defect detection is improved.

[0016] In some embodiments, the detection device is configured to determine the defect position of each second defect in the second defect set in the second image data, and determine the defect type of each second defect according to the defect position and the first defect set, thereby achieving the determination of the defect type of the battery cell defect.

[0017] In some embodiments, the detection device is configured to determine that the second defect is a sub-film defect when the first defect is detected at the same position as the defect position of the second defect in the first image data and the first defect does not meet the detection requirements. This achieves the determination of sub-film defects and improves the accuracy of cell defect detection.

[0018] In some embodiments, the detection device is configured to determine the defect type of the second defect according to the grayscale of each pixel in the image area of ​​the second defect in the second image data. This achieves the purpose of determining the defect type according to the grayscale of the pixel and improves the accuracy of battery cell defect detection.

[0019] In some embodiments, the detection device is configured to determine that the second defect is a bubble defect when the grayscale of each pixel in the image area of ​​the second defect is greater than or equal to the grayscale threshold, and to determine that the second defect is a foreign body defect when the grayscale of the pixels in the middle part of the image area of ​​the second defect is less than the grayscale threshold and the grayscale of the pixels in the remaining part of the image area of ​​the second defect is greater than or equal to the grayscale threshold. In this way, the purpose of determining whether a defect is a bubble defect or a foreign body defect based on the grayscale of the pixel is achieved, and the accuracy of battery cell defect detection is improved.

[0020] In some embodiments, the first image data includes at least two first images collected when the first light is irradiated from different directions; the detection device is configured to fuse the at least two first images to obtain a fused image, and identify the fused image to determine the first defect set of the battery cell to be detected. By fusing the at least two first images, the defect features with deformation such as concave and convex can be enhanced, thereby realizing the detection of defects.

[0021] In some embodiments, the detection device is configured to determine the characteristic data of each defect of the defect type according to the defect type to which the detected defect belongs, and determine the detection result of the battery cell to be detected according to the characteristic data of each defect of the defect type. In this way, the purpose of determining the detection result of the battery cell to be detected according to the characteristic data of the defect is achieved, and the detection of the defect is achieved.

[0022] According to another aspect of the present disclosure, a battery cell detection method is provided, including: obtaining first image data of the battery cell to be detected when a first light is provided to the battery cell to be detected, the first light being visible light; obtaining second image data of the battery cell to be detected when a second light is provided to the battery cell to be detected, the second light being infrared light; and detecting the battery cell to be detected based on the first image data and the second image data.

[0023] In the technical solution of the embodiment of the present application, first image data of the battery cell to be inspected under visible light irradiation and second image data of the battery cell to be inspected under infrared light irradiation are obtained. Since the visible light is irradiated on the surface of the battery cell to be inspected and the infrared light can penetrate into the inside of the battery cell to be inspected, the detection equipment can distinguish whether the defect of the battery cell is a sub-membrane defect or an on-membrane defect when inspecting the battery cell to be inspected according to the first image data and the second image data, thereby improving the accuracy of battery cell defect detection.

[0024] In some embodiments, the battery cell detection method further includes: determining characteristic data of each defect of the defect type according to the defect type to which the detected defect belongs; and determining the detection result of the battery cell to be detected according to the characteristic data of each defect of the defect type. In this way, the purpose of determining the detection result of the battery cell to be detected according to the characteristic data of the defect is achieved, and the detection of the defect is achieved.

[0025] In some embodiments, the defect type is a foreign body defect; according to the defect type to which the detected defect belongs, determining the characteristic data of each defect of the defect type includes: obtaining the size of one or more defects in the foreign body defect; according to the characteristic data of each defect of the defect type, determining the detection result of the battery cell to be detected includes: when at least one defect among the one or more defects has a size greater than or equal to a first size threshold, determining that the battery cell to be detected has failed the detection, and when the sizes of the one or more defects are all less than the first size threshold, determining that the battery cell to be detected has passed the detection. In this way, when the defect type is a foreign body defect, whether the battery cell to be detected can pass the detection is determined by the size of the foreign body defect, thereby realizing the detection of the battery cell and improving the accuracy of the battery cell detection.

[0026] In some embodiments, the defect type is a bubble defect; according to the defect type to which the detected defect belongs, determining the characteristic data of each defect of the defect type includes: obtaining the number of the bubble defects; according to the characteristic data of each defect of the defect type, determining the test result of the battery cell to be tested includes: when the number of the bubble defects is greater than or equal to the number threshold, determining that the battery cell to be tested has not passed the test, and when the number of the bubble defects is less than the number threshold, determining that the battery cell to be tested has passed the test. In this way, when the defect type is a bubble defect, whether the battery cell to be tested can pass the test is determined by the number of bubble defects, thereby realizing the detection of the battery cell and improving the accuracy of the battery cell detection.

[0027] In some embodiments, the defect type is a bubble defect; according to the defect type to which the detected defect belongs, determining the characteristic data of each defect of the defect type includes: obtaining the size of one or more defects in the bubble defect; according to the characteristic data of each defect of the defect type, determining the detection result of the battery cell to be detected includes: when at least one defect in the one or more defect sizes is greater than or equal to the second size threshold, or the sum of the sizes of the one or more defects is greater than or equal to the third size threshold, determining that the battery cell to be detected has not passed the detection; when the size of each defect in the one or more defect sizes is less than the second size threshold, and the sum of the sizes of the one or more defects is less than the third size threshold, determining that the battery cell to be detected has passed the detection. In this way, in the case where the defect type is a bubble defect, whether the battery cell to be detected can pass the detection is determined by the size of the bubble defect, thereby realizing the detection of the battery cell and improving the accuracy of the battery cell detection.

[0028] Other features and advantages of the present disclosure will become apparent from the following detailed description of exemplary embodiments of the present disclosure with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The accompanying drawings, which constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0030] The present disclosure may be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:

[0031] Figure 1 is a schematic diagram showing the structure of a battery cell detection device according to some embodiments of the present disclosure;

[0032] Figure 2 is a schematic structural diagram showing a battery cell detection device according to other embodiments of the present disclosure;

[0033] Figure 3A is a schematic structural diagram showing a battery cell detection device according to other embodiments of the present disclosure;

[0034] Figure 3B is a schematic diagram showing the structure of a battery cell detection device according to other embodiments of the present disclosure at a certain viewing angle;

[0035] Figure 4A is a schematic structural diagram showing a battery cell detection device according to other embodiments of the present disclosure;

[0036] Figure 4B is a schematic diagram showing the structure of a battery cell detection device according to other embodiments of the present disclosure at a certain viewing angle;

[0037] Figure 5A is a schematic structural diagram showing a battery cell detection device according to other embodiments of the present disclosure;

[0038] Figure 5B is a schematic diagram showing the structure of a battery cell detection device according to other embodiments of the present disclosure at a certain viewing angle;

[0039] Fig. 6A is a schematic structural diagram showing a battery cell detection device according to other embodiments of the present disclosure;

[0040] Figure 6B is a schematic diagram showing the structure of a battery cell detection device according to other embodiments of the present disclosure at a certain viewing angle;

[0041] Figure 7 is a schematic diagram showing the working principle of a battery cell detection device according to some embodiments of the present disclosure;

[0042] Figure 8 is a schematic diagram showing a flow chart of an appearance detection method according to some embodiments of the present disclosure;

[0043] Fig. 9 is a flow chart showing a battery cell detection method according to some embodiments of the present disclosure.

[0044] It should be understood that the size of each part shown in the accompanying drawings is not drawn according to the actual proportional relationship. In addition, the same or similar reference numerals represent the same or similar components. DETAILED DESCRIPTION

[0045] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. The description of the exemplary embodiments is merely illustrative and is in no way intended to limit the present disclosure and its application or use. The present disclosure can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to make the present disclosure thorough and complete and to fully express the scope of the present disclosure to those skilled in the art. It should be noted that unless otherwise specifically stated, the relative arrangement of the components and steps, the composition of the materials, the numerical expressions and the numerical values ​​set forth in these embodiments should be interpreted as being merely exemplary and not as limiting.

[0046] The words "first", "second" and similar words used in this disclosure do not indicate any order, quantity or importance, but are only used to distinguish different parts. The words "include" or "comprise" and similar words mean that the elements before the word include the elements listed after the word, and do not exclude the possibility of including other elements. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0047] In the present disclosure, when a specific device is described as being located between a first device and a second device, there may or may not be an intermediate device between the specific device and the first device or the second device. When a specific device is described as being connected to other devices, the specific device may be directly connected to the other device without an intermediate device, or may not be directly connected to the other device but have an intermediate device.

[0048] All terms (including technical terms or scientific terms) used in the present disclosure have the same meanings as those understood by ordinary technicians in the field to which the present disclosure belongs, unless otherwise specifically defined. It should also be understood that terms defined in general dictionaries, such as general dictionaries, should be interpreted as having meanings consistent with their meanings in the context of the relevant technology, and should not be interpreted in an idealized or extremely formal sense, unless explicitly defined herein.

[0049] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered as part of the specification.

[0050] In the related art, the defect detection technology of the battery cell cannot distinguish between the defects under the membrane and the defects on the membrane of the battery cell, resulting in poor detection accuracy.

[0051] In view of this, the present disclosure provides a battery cell detection device, so as to distinguish whether the defect of the battery cell is a defect under the membrane or a defect on the membrane when detecting the battery cell, thereby improving the accuracy of battery cell defect detection.

[0052] Figure 1 is a schematic diagram showing the structure of a battery cell detection device according to some embodiments of the present disclosure. Figure 1 As shown, the battery cell detection device includes: a first light source 11, a second light source 12, a collection device 13 and a detection device 14.

[0053] The first light source 11 is configured to provide a first light 21 to the battery cell 15 to be detected, and the first light 21 is a visible light. For example, the first light source includes a visible light source. For example, the first light source is a line scanning light source.

[0054] The second light source 12 is configured to provide a second light 22 to the battery cell 15 to be detected, and the second light 22 is an infrared light. For example, the second light source includes an infrared light source. For example, the second light source is a line scanning light source.

[0055] The acquisition device 13 is configured to obtain the first image data of the battery cell to be detected when the first light is provided and the second image data of the battery cell to be detected when the second light is provided. For example, the acquisition device includes a camera (for example, a CCD (Charge Coupled Device) camera, a 3D (Three Dimensional) camera, etc.). For example, the camera is a line scan camera. For example, the scanning line 23 of the camera and the luminous line of the light source overlap on the detected surface 151 of the battery cell to be detected 15, so as to facilitate the acquisition of the first image data and the second image data.

[0056] The detection device 14 is configured to detect the battery cell to be detected according to the first image data and the second image data. For example, the detection device includes a visual industrial computer.

[0057] So far, a cell detection device according to some embodiments of the present disclosure is provided. The cell detection device includes: a first light source, configured to provide a first light to the cell to be detected, the first light being visible light; a second light source, configured to provide a second light to the cell to be detected, the second light being infrared light; a collection device, configured to obtain first image data of the cell to be detected when the first light is provided and second image data of the cell to be detected when the second light is provided; and a detection device, configured to detect the cell to be detected according to the first image data and the second image data. In this embodiment, a first light source capable of providing visible light and a second light source capable of providing infrared light are provided in the cell detection device, so that the collection device can obtain the first image data of the cell to be detected under visible light irradiation and the second image data of the cell to be detected under infrared light irradiation. Since the visible light irradiates the surface of the cell to be detected and the infrared light can penetrate into the interior of the cell to be detected, the detection device can distinguish whether the defect of the cell is a sub-film defect or an on-film defect when detecting the cell according to the first image data and the second image data, thereby improving the accuracy of cell defect detection.

[0058] In addition, the infrared light field image and the visible light image can be used to eliminate as much as possible the pseudo bubbles generated by the loose fit between the blue film and the shell.

[0059] In some embodiments, Figure 1 As shown, the first light source 11, the second light source 12 and the acquisition device 13 are located on the same side of the detection position (for example, the current position of the battery cell 15 to be detected) where the battery cell to be detected is located. This facilitates the illumination of the detection surface of the battery cell to be detected by the light source and the acquisition device to collect images of the detection surface, thereby facilitating the collection of image data of the battery cell to be detected and improving the accuracy of image data collection.

[0060] In some embodiments, Figure 1As shown, the range of the incident angle α of the first light 21 provided by the first light source 11 on the surface of the battery cell to be detected (which may be referred to as the first incident angle) is 0°<α<90°; the range of the incident angle β of the second light provided by the second light source 12 on the surface of the battery cell to be detected (which may be referred to as the second incident angle) is 0°<β<90°. Such incident angles facilitate the first light and the second light to be incident on the surface of the battery cell to be detected, thereby facilitating the detection of battery cell defects.

[0061] Figure 2 Schematic diagram of the structure of a battery cell detection device according to other embodiments of the present disclosure. Figure 2 As shown, the battery cell detection device includes: a first light source 11, a second light source 12, a collection device 13 and a detection device 14.

[0062] In some embodiments, Figure 2 As shown, the battery cell detection device further includes a controller 16. The controller (which may be referred to as a first controller) 16 is configured to control the first light source 11, the second light source 12, and the acquisition device 13 to start or shut down. By setting a controller in the battery cell detection device to control the first light source, the second light source, and the acquisition device to start or shut down, the automation level of the device can be improved.

[0063] For example, the controller 16 is a time-sharing strobe controller. The controller 16 can receive a trigger signal 18 sent by another controller (which can be called a second controller, not shown in the figure) and a coded signal sent by an encoder 17. For example, the second controller includes a PLC (Programmable Logic Controller). The second controller can be electrically connected to a position detection sensor (not shown in the figure). The position detection sensor is installed at a predetermined position, and when the battery cell to be detected is detected, a position signal is sent to the second controller. After receiving the position signal, the second controller determines that the battery cell to be detected has run to the detection position, and then sends a trigger signal to the controller 16. After receiving the trigger signal, the controller 16 determines that the battery cell to be detected has run to the detection position. The controller 16 receives a coded signal (for example, a pulse signal) from the encoder, and the coded signal is used as a continuous acquisition signal to control the acquisition device to acquire the image of the battery cell to be detected.

[0064] Optionally, the battery cell detection device may further include the encoder 17, a second controller, and a position detection sensor as described above.

[0065] In some embodiments, the controller 16 is configured to, when determining that the battery cell to be inspected has run to the inspection position, send a stroboscopic control signal to the first light source 11 and the second light source 12 to control the first light source and the second light source to start and shut down continuously, and send an acquisition signal to the acquisition device 13 to control the acquisition device to acquire an image of the battery cell to be inspected, and obtain first image data and second image data based on the image of the battery cell to be inspected.

[0066] In this embodiment, the controller controls the first light source and the second light source to start and stop continuously through a strobe control signal, and controls the acquisition device to acquire images of the battery cells to be inspected through an acquisition signal, thereby realizing image acquisition of the battery cells to be inspected, thereby facilitating defect detection of the battery cells.

[0067] Figure 3A is a schematic structural diagram showing a battery cell detection device according to other embodiments of the present disclosure. Figure 3B is a schematic diagram showing the structure of a battery cell detection device according to other embodiments of the present disclosure at a certain viewing angle.

[0068] It should be noted that although Figure 3A and Figure 3B The detection equipment and controller are not shown, but Figure 3A and Figure 3B The battery cell detection device includes not only the first light source 11, the second light source 12 and the acquisition device 13, but also a detection device 14. Optionally, the battery cell detection device may further include a controller 16 and the like.

[0069] In some embodiments, Figure 3A and Figure 3B As shown, the first light source 11 includes a first sub-light source 111 and a second sub-light source 112, and the first sub-light source 111 and the second sub-light source 112 are respectively configured to provide the first light 21 to the battery cell to be inspected 15. By setting two light sources capable of providing visible light, image data under two visible lights can be obtained, so that in subsequent processing, the image data of the two visible light fields can be combined to make the defects of the coated battery cell with concave-convex deformation changes on the appearance present defect characteristics, thereby reducing the problem of pits and foreign objects being over-inspected.

[0070] In some embodiments, Figure 3AAs shown, the incident angle α1 of the first light 21 provided by the first sub-light source 111 on the surface of the battery cell 15 to be inspected (which may be referred to as the first sub-incident angle) is equal to the incident angle α2 of the first light 21 provided by the second sub-light source 112 on the surface of the battery cell 15 to be inspected (which may be referred to as the second sub-incident angle). In this way, when the first sub-light source and the second sub-light source are irradiated, after obtaining the corresponding image data, the image data of the two visible light fields are combined, so that the defects of the coated battery cell with concave-convex deformation changes on the appearance can present defect characteristics, reducing the problem of pits and foreign objects being over-inspected.

[0071] exist Figure 3A and Figure 3B In the battery cell detection device shown, the second incident angle β of the second light provided by the second light source 12 on the surface of the battery cell to be detected is greater than the first incident angle α (for example, the first sub-incident angle α1 or the second sub-incident angle α2) of the first light provided by the first light source 11 on the surface of the battery cell to be detected. This facilitates the light emitted by the first light source and the second light source to be incident on the detection area of ​​the battery cell to be detected, thereby facilitating the detection of battery cell defects.

[0072] Of course, those skilled in the art will appreciate that the second incident angle β may also be smaller than the first incident angle α, which will be described later with reference to other figures. Therefore, the scope of the present disclosure is not limited thereto.

[0073] In some embodiments, Figure 3A and Figure 3B As shown, the first sub-light source 111 and the second sub-light source 112 are respectively located on both sides of the virtual plane 310, and the virtual plane 310 is perpendicular to the surface of the battery cell to be detected 15 and passes through the acquisition device 13. In fact, the virtual plane is the plane where the scanning line 23 of the acquisition device is located during the scanning and photographing process of the acquisition device, that is, the plane where the normal line of the detected surface of the battery cell to be detected is located. In this embodiment, by locating the first sub-light source and the second sub-light source on both sides of the virtual plane, the first sub-light source and the second sub-light source try not to affect each other when irradiating the surface of the battery cell to be detected, thereby improving the accuracy of defect detection.

[0074] In some embodiments, Figure 3A and Figure 3B As shown, the first sub-light source 111 and the second sub-light source 112 are symmetrically arranged relative to the virtual plane 310. This is conducive to obtaining image data of two symmetrical visible light fields, and through the combination of the image data of the two symmetrical visible light fields, the defects of the coated battery cell with concave-convex deformation changes on the appearance can present defect characteristics, reducing the problem of pits and foreign matter passing the inspection.

[0075] exist Figure 3A and Figure 3BIn the battery cell detection device shown, the second light source 12 and the second sub-light source 112 are on the same side of the virtual plane 310. Of course, those skilled in the art will understand that the second light source 12 and the first sub-light source 111 may also be on the same side of the virtual plane 310, which will be described later with reference to other drawings. Therefore, the scope of the present disclosure is not limited thereto.

[0076] Combine the following Figure 4A-4B , Figure 5A-Figure 5B and Figure 6A-6B Other settings of the first light source (the first sub-light source and the second sub-light source) and the second light source are described respectively.

[0077] Figure 4A is a schematic structural diagram showing a battery cell detection device according to other embodiments of the present disclosure. Figure 4B is a schematic diagram showing the structure of a battery cell detection device according to other embodiments of the present disclosure at a certain viewing angle.

[0078] exist Figure 4A and Figure 4B In the battery cell detection device shown, the second incident angle β of the second light provided by the second light source 12 on the surface of the battery cell to be detected is greater than the first incident angle α (for example, the first sub-incident angle α1 or the second sub-incident angle α2) of the first light provided by the first light source 11 on the surface of the battery cell to be detected, and the second light source 12 and the first sub-light source 111 are on the same side of the virtual surface 310. This makes it convenient for the light emitted by the first light source and the second light source to be incident on the detection area of ​​the battery cell to be detected, thereby facilitating the detection of battery cell defects.

[0079] Figure 5A is a schematic structural diagram showing a battery cell detection device according to other embodiments of the present disclosure. Figure 5B is a schematic diagram showing the structure of a battery cell detection device according to other embodiments of the present disclosure at a certain viewing angle.

[0080] exist Figure 5A and Figure 5B In the battery cell detection device shown, the second incident angle β of the second light provided by the second light source 12 on the surface of the battery cell to be detected is smaller than the first incident angle α (for example, the first sub-incident angle α1 or the second sub-incident angle α2) of the first light provided by the first light source 11 on the surface of the battery cell to be detected, and the second light source 12 and the first sub-light source 111 are on the same side of the virtual surface 310. This makes it convenient for the light emitted by the first light source and the second light source to be incident on the detection area of ​​the battery cell to be detected, thereby facilitating the detection of battery cell defects.

[0081] Fig. 6A is a schematic structural diagram showing a battery cell detection device according to other embodiments of the present disclosure. Figure 6Bis a schematic diagram showing the structure of a battery cell detection device according to other embodiments of the present disclosure at a certain viewing angle.

[0082] exist Fig. 6A and Figure 6B In the battery cell detection device shown, the second incident angle β of the second light provided by the second light source 12 on the surface of the battery cell to be detected is smaller than the first incident angle α (for example, the first sub-incident angle α1 or the second sub-incident angle α2) of the first light provided by the first light source 11 on the surface of the battery cell to be detected, and the second light source 12 and the second sub-light source 112 are on the same side of the virtual surface 310. This makes it convenient for the light emitted by the first light source and the second light source to be incident on the detection area of ​​the battery cell to be detected, thereby facilitating the detection of battery cell defects.

[0083] So far, different configurations of the first light source (including the first sub-light source and the second sub-light source) and the second light source have been described. Of course, the scope of the present disclosure is not limited to the configurations of the first light source and the second light source described herein.

[0084] In some embodiments, the detection device 14 is configured to determine the first defect set of the battery cell to be detected based on the first image data, determine the second defect set of the battery cell to be detected based on the second image data, and determine the types of various defects in the battery cell to be detected based on the first defect set and the second defect set, wherein the first defect set includes one or more first defects, and the second defect set includes one or more second defects. In this way, the purpose of determining the types of various defects in the battery cell to be detected based on the first image data and the second image data is achieved, and the accuracy of battery cell defect detection is improved.

[0085] Exemplarily, the detection device can determine the first defect contained in the battery cell to be detected by identifying the first image data to obtain a first defect set including the first defect, and can determine the second defect contained in the battery cell to be detected by identifying the second image data to obtain a second defect set including the second defect.

[0086] The criteria for determining the first defect and the second defect can be set according to actual needs. For example, if the color of a certain position in the first image (i.e., the first image data) is different from the color of the surrounding area of ​​the position, it can be determined as a first defect; if the color of a certain position in the second image (i.e., the second image data) is different from the color of the surrounding area of ​​the position, it can be determined as a second defect.

[0087] The detection device can determine the types of various defects in the battery cell to be detected based on the first defect set and the second defect set. That is, the types of various defects in the battery cell to be detected can be determined by the difference between the image under visible light and the image under infrared light.

[0088] For example, the types of defects may include: bubbles, wrinkles, pits, foreign matter, damage, scratches, and edge defects, etc. Among them, foreign matter can also be divided into foreign matter under the film, foreign matter on the film, etc.

[0089] For example, under the penetration of infrared light, foreign matter under the film of the battery cell appears to be dark in the middle and white at the edges, while bubbles are white as a whole. This feature can be used to distinguish between defects under the film and defects on the film when combined with a visible light source. Therefore, the types of various defects in the battery cell to be inspected can be determined based on the first defect set and the second defect set.

[0090] In the above embodiment, not only can defects on the surface of the battery cell be identified, but also defects under the blue film can be identified with the cooperation of the second image data and the first image data, so that the identification of defects in the battery cell can be more comprehensive and the inspection result of the battery cell can be more reliable.

[0091] In some embodiments, the detection device 14 is configured to determine the defect position of each second defect in the second defect set in the second image data, and determine the defect type of each second defect according to the defect position and the first defect set, thereby achieving the determination of the defect type of the battery cell defect.

[0092] In some embodiments, the detection device 14 is configured to determine that the second defect is a sub-film defect when the first defect is detected at the same position as the defect position of the second defect in the first image data and the first defect does not meet the detection requirements. This achieves the determination of sub-film defects and improves the accuracy of cell defect detection.

[0093] Exemplarily, for a relatively small defect under the blue film of a battery cell, the defect under the film cannot be presented in a visible light image, but can only be presented in an infrared light image; for a relatively large defect under the film of a battery cell, the defect under the film may be presented in a visible light image, but the presented defect image is not obvious (i.e., the difference between the grayscale of the defect image and the grayscale of the surrounding background image is relatively small), and the defect under the film can be presented in an infrared light image. The defect on the blue film of the battery cell can be presented in both a visible light image (i.e., the difference between the grayscale of the defect image and the grayscale of the surrounding background image is relatively large) and an infrared light image. Therefore, it can be determined by the positions of the first defect set and the second defect set whether the defects at various positions in the battery cell to be tested are under-film defects or on-film defects.

[0094] For example, the detection device 14 determines the defect position of a second defect in the second defect set in the second image data, and determines the same position of the first image data according to the defect position. If the difference between the grayscale of the pixel at the position and the grayscale of the surrounding background image is less than the grayscale threshold (this case includes: the first defect is not detected at the same position as the defect position of the second defect in the first image data (that is, the difference between the grayscale of the pixel at the position and the grayscale of the surrounding background image is 0, that is, less than the grayscale threshold) or the first defect is detected but the first defect does not meet the detection requirements (that is, the difference between the grayscale of the pixel at the position and the grayscale of the surrounding background image is less than the grayscale threshold)), then it indicates that the defect is a sub-membrane defect; if the difference between the grayscale of the pixel at the position and the grayscale of the surrounding background image is greater than or equal to the grayscale threshold (that is, the first defect is detected at the same position as the defect position of the second defect in the first image data and the first defect meets the detection requirements), then it indicates that the defect is an on-membrane defect. In this way, the defect type of the battery cell defect is detected, making the battery cell detection result more reliable.

[0095] It should be noted that the grayscale threshold can be referred to as the second grayscale threshold. For example, the range of the second grayscale threshold is that the second grayscale threshold is greater than or equal to 10. Of course, the second grayscale threshold can be determined according to actual conditions, and the scope of the present disclosure is not limited to the range of the second grayscale threshold.

[0096] In some embodiments, the detection device 14 is configured to determine the type of defect based on the grayscale of the pixels in the first image and the second image and the morphology of the defect. For example, if a foreign body defect is black in the middle and white around, then a bubble defect is only white. In this way, the type of defect can be determined more accurately by combining grayscale and morphology.

[0097] In some embodiments, the detection device 14 is configured to determine the defect type of the second defect according to the grayscale of each pixel in the image area of ​​the second defect in the second image data. This achieves the purpose of determining the defect type according to the grayscale of the pixel and improves the accuracy of the battery cell defect detection.

[0098] For example, the detection device 14 is configured to determine that the second defect is a bubble-type defect when the grayscale of each pixel in the image area of ​​the second defect is greater than or equal to a grayscale threshold (which may be referred to as a first grayscale threshold), and to determine that the second defect is a foreign body-type defect when the grayscale of the pixels in the middle part of the image area of ​​the second defect is less than the grayscale threshold and the grayscale of the pixels in the remaining part of the image area of ​​the second defect is greater than or equal to the grayscale threshold. In this way, the purpose of determining whether a defect is a bubble-type defect or a foreign body-type defect based on the grayscale of the pixel is achieved, thereby improving the accuracy of cell defect detection.

[0099] It should be noted that the whiter the color of the defect in the image is, the larger the grayscale value is.

[0100] For example, as mentioned above, under the penetration of infrared light, the foreign matter under the film of the battery cell presents the characteristics of a dark middle and white edges (that is, the grayscale of the pixels in the middle part of the image area of ​​the second defect is less than the grayscale threshold and the grayscale of the pixels in the remaining part of the image area of ​​the second defect is greater than or equal to the grayscale threshold), while the bubbles are overall white (that is, the grayscale of each pixel in the image area of ​​the second defect is greater than or equal to the grayscale threshold). This feature is used to distinguish whether the defect is a foreign matter defect or a bubble defect.

[0101] In some embodiments, the range of the first grayscale threshold is that the first grayscale threshold is greater than or equal to 10. Of course, the first grayscale threshold can be determined according to actual conditions, and the scope of the present disclosure is not limited to the range of the first grayscale threshold.

[0102] In some embodiments, the first image data includes at least two first images collected when the first light is irradiated in different directions. For example, as described above, the first light source includes a first sub-light source and a second sub-light source, and the first sub-light source and the second sub-light source respectively provide the first light to the battery cell to be detected, so that two first images can be obtained in the process of obtaining the first image data.

[0103] In some embodiments, the detection device 14 is configured to fuse the at least two first images to obtain a fused image, and identify the fused image to determine the first defect set of the battery cell to be detected. In this embodiment, by fusing the at least two first images, the defect features with deformation such as concave and convex can be enhanced (i.e., the defects are highly reproduced), thereby realizing the detection of defects.

[0104] Here, an image fusion algorithm known to those skilled in the art may be used for fusion, and the scope of the present disclosure is not limited to the specific algorithm for image fusion.

[0105] In some embodiments, the detection device 14 is configured to determine the characteristic data of each defect of the defect type according to the defect type to which the detected defect belongs, and determine the detection result of the battery cell to be detected according to the characteristic data of each defect of the defect type. In this way, the purpose of determining the detection result of the battery cell to be detected according to the characteristic data of the defect is achieved, and the detection of the defect is achieved.

[0106] In some embodiments, the defect type is a foreign body defect. The detection device 14 is configured to obtain the size of one or more defects in the foreign body defect; if at least one defect in the one or more defect sizes is greater than or equal to a first size threshold, it is determined that the battery cell to be detected has failed the detection; if the one or more defect sizes are all less than the first size threshold, it is determined that the battery cell to be detected has passed the detection.

[0107] That is to say, for one or more defects among the foreign body defects, if there is at least one defect with a relatively large size (that is, the size of at least one defect is greater than or equal to the first size threshold), it is determined that the battery cell to be inspected has not passed the inspection; if the sizes of all defects are relatively small (that is, the sizes of all defects are smaller than the first size threshold), such foreign body defects can be ignored, and it is determined that the battery cell to be inspected has passed the inspection.

[0108] Therefore, in the above embodiment, when the defect type is a foreign body defect, whether the battery cell to be inspected can pass the inspection is determined by the size of the foreign body defect, thereby realizing the inspection of the battery cell and improving the accuracy of the battery cell inspection.

[0109] In some embodiments, the range of the first size threshold is that the first size threshold is greater than or equal to 0.1 mm (millimeter). Of course, it should be noted that the above first size threshold can be set according to actual needs, and the scope of the present disclosure is not limited to the specific value of the first size threshold.

[0110] In some embodiments, the defect type is a bubble defect. The detection device 14 is configured to obtain the number of bubble defects; if the number of bubble defects is greater than or equal to a number threshold, it is determined that the battery cell to be detected has failed the detection; if the number of bubble defects is less than the number threshold, it is determined that the battery cell to be detected has passed the detection.

[0111] That is to say, in the above embodiment, for bubble defects, whether the battery cell to be tested has passed the test can be determined according to the number of bubble defects. When the number of bubble defects is large (i.e., the number of bubble defects is greater than or equal to the number threshold), it is determined that the battery cell to be tested has not passed the test, and when the number of bubble defects is small (i.e., the number of bubble defects is less than the number threshold), it is determined that the battery cell to be tested has passed the test.

[0112] Therefore, in the above embodiment, when the defect type is a bubble defect, whether the battery cell to be inspected can pass the inspection is determined by the number of bubble defects, thereby realizing the inspection of the battery cell and improving the accuracy of the battery cell inspection.

[0113] In some embodiments, the range of the quantity threshold is that the quantity threshold is greater than or equal to 3. Of course, the above quantity threshold can be set according to actual needs, and the scope of the present disclosure is not limited to the specific value of the quantity threshold.

[0114] In some embodiments, the defect type is a bubble defect. The detection device 14 is configured to obtain the size of one or more defects in the bubble defect; if at least one defect in the one or more defect sizes is greater than or equal to the second size threshold, or the sum of the one or more defect sizes is greater than or equal to the third size threshold, it is determined that the battery cell to be detected has not passed the test; if each defect in the one or more defect sizes is less than the second size threshold, and the sum of the one or more defect sizes is less than the third size threshold, it is determined that the battery cell to be detected has passed the test.

[0115] That is to say, in the above embodiment, for bubble defects, it can be determined whether the battery cell to be tested has passed the test based on the size of the bubble defects. Here, the size of the bubble defects can be considered in two dimensions, namely, the size of a single defect in the bubble defects and the sum of the sizes of all bubble defects. In the case where there is at least one defect with a larger size among the bubble defects (i.e., the size of at least one defect is greater than or equal to the second size threshold), or the sum of the sizes of all bubble defects is larger (i.e., the sum of the sizes of all bubble defects is greater than or equal to the third size threshold), it is determined that the battery cell to be tested has not passed the test. In the case where the size of each defect in the bubble defects is smaller (i.e., the size of each defect in the bubble defects is smaller than the second size threshold), and the sum of the sizes of all bubble defects is smaller (i.e., the sum of the sizes of all bubble defects is smaller than the third size threshold), it is determined that the battery cell to be tested has passed the test.

[0116] Therefore, in the above embodiment, when the defect type is a bubble defect, whether the battery cell to be inspected can pass the inspection is determined by the size of the bubble defect, thereby realizing the inspection of the battery cell and improving the accuracy of the battery cell inspection.

[0117] In some embodiments, the second size threshold is in the range of the second size threshold being greater than or equal to 0.5 mm. 2 (square millimeters). In some embodiments, the range of the third size threshold is that the third size threshold is greater than or equal to 1.0 mm 2 Of course, the second size threshold and the third size threshold can be set according to actual needs, and the scope of the present disclosure is not limited to the specific values ​​of the second size threshold and the third size threshold.

[0118] Figure 7 Schematic diagram showing the working principle of a battery cell detection device according to some embodiments of the present disclosure.

[0119] like Figure 7 As shown, when the battery moves to the time-sharing stroboscopic photography position, the PLC ( Figure 7 The controller (not shown) will send a trigger signal to the controller (for example, a time-sharing strobe controller) so that the controller knows that the battery cell has reached the detection position. The controller receives a pulse signal (i.e., a coding signal) from the encoder, and then sends a continuous strobe signal to the light source (i.e., the first light source and the second light source), and sends a continuous acquisition signal to the camera through the acquisition card, that is, the line scan light source and the acquisition card are controlled in parallel. For example, the camera can flash three times in a single photo, and there is no requirement for the order in which the light sources light up during each flash. A single photo is completed by flashing three times, but the order in which the light sources light up can be consistent when the three flashes are performed for each photo. Take pictures multiple times until the entire moving battery cell is imaged. The camera sends the image (e.g., the first image data and the second image data) back to the acquisition card. The acquisition card transmits the image to the detection device (e.g., a visual industrial computer). The detection device detects the battery cell to be detected based on the first image data and the second image data. The detection device can send the detection results to the host computer for subsequent processing by the host computer.

[0120] In some embodiments, the detection device may store a built-in model algorithm, and the two collected visible light images are subjected to an image enhancement algorithm to generate a dark field image, a bright field image, and an enhanced image, respectively, which makes the contrast effect between the defect and the background stronger, and uses image fusion to enhance the defect features so that all types of defects are detected. The fusion image is placed in an AI (Artificial Intelligence) semantic segmentation model to detect defects in the appearance of the battery cell, and the defects are further classified using a classification model. If the defect is a raised feature in the visible light image, the infrared image is further used to distinguish whether it is a bubble or a foreign body. If it is determined to be a foreign body, the height can be re-judged through the symmetrical visible light image and the diffuse reflection principle (i.e., judging whether the height of the defect is greater than or equal to the height threshold, if the height of the defect is greater than or equal to the height threshold, it is determined that the battery cell has not passed the test, and if the height of the defect is less than the height threshold, it is determined that the battery cell has passed the test). If it is determined to be a bubble defect, the area size, number, and other thresholds of the bubble defect are used to reduce the problem of bubble over-inspection.

[0121] For example, the range of the height threshold is that the height threshold is greater than or equal to 0.1 mm. Of course, the height threshold in the embodiment of the present disclosure can be set according to actual needs. The scope of the present disclosure is not limited to the specific value of the height threshold.

[0122] In some embodiments of the present disclosure, bubbles and foreign matter under the film can be distinguished by using images under the infrared light field, and defects under the film and on the film can be distinguished by combining visible light images, filtering out defects that cannot be seen by the naked eye, such as dirt on the shell under the film, slight scratches, etc., which can be released. In addition, through two symmetrical visible light field images, scratches, breakages, dirt, pits and other defects on the film can be effectively presented in different defect forms. By combining infrared light field images and visible light images, foreign matter, breakages, scratches and other defects at the edges of coated cells can be effectively presented, improving the defect detection rate.

[0123] After the images generated by the symmetrical visible light source are fused by algorithm, the height of foreign objects and the depth of pits can be reproduced. For example, after the images generated by the symmetrical visible light source are fused by algorithm, foreign objects with a height of less than 0.1 mm and pits with a depth of less than 0.1 mm can be filtered.

[0124] Furthermore, after the images collected by time-sharing stroboscopic imaging are fused by algorithm, the characteristics of deformable defects such as concave and convex can be enhanced, and the height direction information of the defects can be obtained through the algorithm for height re-judgment.

[0125] Figure 8 is a flow chart showing an appearance detection method according to some embodiments of the present disclosure.

[0126] As shown in 8, in the appearance inspection method, it is possible to judge whether the battery cell is good or defective through processes and mechanisms such as feeding code scanning, feeding pitch change, bottom and narrow surface detection mechanism, pitch change mechanism and feeding, visual inspection mechanism, discharging assembly line, unloading and pitch change mechanism. In addition, a magnetic suspension ring conveyor line, a defective product assembly line, etc. can also be set in the entire equipment. Here, the visual inspection mechanism may include the battery cell detection device of the embodiment of the present disclosure. Other processes and mechanisms can adopt processes and mechanisms known to those skilled in the art, which will not be described in detail here.

[0127] Fig. 9 is a flow chart showing a method for detecting a battery cell according to some embodiments of the present disclosure. Fig. 9 As shown, the battery cell detection method includes steps S902 to S906.

[0128] In step S902, first image data of the battery cell to be inspected is obtained when a first light is provided to the battery cell to be inspected, where the first light is visible light.

[0129] In step S904, second image data of the battery cell to be inspected is obtained when a second light is provided to the battery cell to be inspected, where the second light is infrared light.

[0130] In step S906 , the battery cell to be inspected is inspected according to the first image data and the second image data.

[0131] So far, a battery cell detection method according to some embodiments of the present disclosure is provided. In the battery cell detection method, first image data of the battery cell to be detected under visible light irradiation and second image data of the battery cell to be detected under infrared light irradiation are obtained. Since the visible light irradiates the surface of the battery cell to be detected and the infrared light can penetrate into the inside of the battery cell to be detected, the detection device can distinguish whether the defect of the battery cell is a sub-membrane defect or an on-membrane defect when detecting the battery cell to be detected according to the first image data and the second image data, thereby improving the accuracy of battery cell defect detection.

[0132] In some embodiments, the battery cell detection method further includes: determining characteristic data of each defect of the defect type according to the defect type to which the detected defect belongs; and determining the detection result of the battery cell to be detected according to the characteristic data of each defect of the defect type. In this way, the purpose of determining the detection result of the battery cell to be detected according to the characteristic data of the defect is achieved, and the detection of the defect is achieved.

[0133] In some embodiments, the defect type is a foreign body defect; according to the defect type to which the detected defect belongs, determining the characteristic data of each defect of the defect type includes: obtaining the size of one or more defects in the foreign body defect; according to the characteristic data of each defect of the defect type, determining the detection result of the battery cell to be detected includes: when at least one defect among the one or more defect sizes is greater than or equal to a first size threshold, determining that the battery cell to be detected has failed the detection, and when the sizes of the one or more defects are all less than the first size threshold, determining that the battery cell to be detected has passed the detection. In this way, when the defect type is a foreign body defect, whether the battery cell to be detected can pass the detection is determined by the size of the foreign body defect, thereby realizing the detection of the battery cell and improving the accuracy of the battery cell detection.

[0134] In some embodiments, the defect type is a bubble defect; according to the defect type to which the detected defect belongs, determining the characteristic data of each defect of the defect type includes: obtaining the number of bubble defects; according to the characteristic data of each defect of the defect type, determining the test result of the battery cell to be tested includes: when the number of bubble defects is greater than or equal to the number threshold, determining that the battery cell to be tested has not passed the test, and when the number of bubble defects is less than the number threshold, determining that the battery cell to be tested has passed the test. In this way, when the defect type is a bubble defect, whether the battery cell to be tested can pass the test is determined by the number of bubble defects, thereby realizing the detection of the battery cell and improving the accuracy of the battery cell detection.

[0135] In some embodiments, the defect type is a bubble defect; according to the defect type to which the detected defect belongs, determining the characteristic data of each defect of the defect type includes: obtaining the size of one or more defects in the bubble defect; according to the characteristic data of each defect of the defect type, determining the detection result of the battery cell to be detected includes: when at least one defect in the one or more defect sizes is greater than or equal to the second size threshold, or the sum of the sizes of the one or more defects is greater than or equal to the third size threshold, determining that the battery cell to be detected has not passed the detection; when the size of each defect in the one or more defect sizes is less than the second size threshold, and the sum of the sizes of the one or more defects is less than the third size threshold, determining that the battery cell to be detected has passed the detection. In this way, in the case where the defect type is a bubble defect, whether the battery cell to be detected can pass the detection is determined by the size of the bubble defect, thereby realizing the detection of the battery cell and improving the accuracy of the battery cell detection.

[0136] So far, various embodiments of the present disclosure have been described in detail. In order to avoid obscuring the concept of the present disclosure, some details known in the art are not described. Based on the above description, those skilled in the art can fully understand how to implement the technical solution disclosed here.

[0137] Although some specific embodiments of the present disclosure have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present disclosure. It should be understood by those skilled in the art that the above embodiments may be modified or some technical features may be replaced by equivalents without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.

Claims

1. A battery cell detection device, include: A first light source is configured to provide a first light to the battery cell to be detected, wherein the first light is visible light; A second light source is configured to provide a second light to the battery cell to be detected, wherein the second light is infrared light; A collection device configured to obtain first image data of the battery cell to be inspected when the first light is provided and second image data of the battery cell to be inspected when the second light is provided; and The detection device is configured to detect the battery cell to be detected according to the first image data and the second image data.

2. The battery cell detection device according to claim 1, further comprising: include: The controller is configured to control the first light source, the second light source and the collection device to start or shut down.

3. The battery cell detection device according to claim 2, in, The controller is configured to, when determining that the battery cell to be inspected has run to the inspection position, send a stroboscopic control signal to the first light source and the second light source to control the first light source and the second light source to start and shut down continuously, and send an acquisition signal to the acquisition device to control the acquisition device to acquire an image of the battery cell to be inspected, and obtain the first image data and the second image data based on the image of the battery cell to be inspected.

4. The battery cell detection device according to any one of claims 1 to 3, in, The first light source, the second light source and the acquisition device are located on the same side of the detection position where the battery cell to be detected is located.

5. The battery cell detection device according to any one of claims 1 to 4, in: The first light source includes a first sub-light source and a second sub-light source, and the first sub-light source and the second sub-light source are respectively configured to provide the first light to the battery cell to be inspected.

6. The battery cell detection device according to claim 5, in, The incident angle of the first light provided by the first sub-light source on the surface of the battery cell to be inspected is equal to the incident angle of the first light provided by the second sub-light source on the surface of the battery cell to be inspected.

7. The battery cell detection device according to claim 5 or 6, in, The first sub-light source and the second sub-light source are respectively located on two sides of a virtual plane, and the virtual plane is perpendicular to the surface of the battery cell to be detected and passes through the acquisition device.

8. The battery cell detection device according to claim 7, in, The first sub-light source and the second sub-light source are arranged symmetrically with respect to the virtual plane.

9. The battery cell detection device according to any one of claims 1 to 7, in: The range of the incident angle α of the first light provided by the first light source on the surface of the battery cell to be inspected is 0°<α<90°; The range of the incident angle β of the second light provided by the second light source on the surface of the battery cell to be inspected is 0°<β<90°.

10. The battery cell detection device according to any one of claims 1 to 9, in: The detection device is configured to determine a first defect set of the battery cell to be detected based on the first image data, determine a second defect set of the battery cell to be detected based on the second image data, and determine types of various defects in the battery cell to be detected based on the first defect set and the second defect set, wherein the first defect set includes one or more first defects, and the second defect set includes one or more second defects.

11. The battery cell detection device according to claim 10, in: The detection device is configured to determine a defect position of each second defect in the second defect set in the second image data, and determine a defect type of each second defect according to the defect position and the first defect set.

12. The battery cell detection device according to claim 11, in: The detection device is configured to determine that the one second defect is a sub-film defect when the first defect is detected at the same position as a defect position of the one second defect in the first image data and the first defect does not meet the detection requirement.

13. The battery cell detection device according to claim 12, in: The detection device is configured to determine a defect type of the second defect according to the grayscale of each pixel in the image area of ​​the second defect in the second image data.

14. The battery cell detection device according to claim 13, in: The detection device is configured to determine that the second defect is a bubble-type defect when the grayscale of each pixel in the image area of ​​the second defect is greater than or equal to the grayscale threshold, and to determine that the second defect is a foreign matter-type defect when the grayscale of the pixels in the middle part of the image area of ​​the second defect is less than the grayscale threshold and the grayscale of the pixels in the remaining part of the image area of ​​the second defect is greater than or equal to the grayscale threshold.

15. The battery cell detection device according to claim 10, in: The first image data includes at least two first images acquired when the first light is irradiated in different directions; The detection device is configured to fuse the at least two first images to obtain a fused image, and identify the fused image to determine a first defect set of the battery cell to be detected.

16. The battery cell detection device according to any one of claims 1 to 15, in: The detection device is configured to determine characteristic data of each defect of the defect type according to the defect type to which the detected defect belongs, and determine the detection result of the battery cell to be detected according to the characteristic data of each defect of the defect type.

17. A method for detecting a battery cell, include: obtaining first image data of the battery cell to be inspected when providing first light to the battery cell to be inspected, wherein the first light is visible light; obtaining second image data of the battery cell to be inspected when a second light is provided to the battery cell to be inspected, wherein the second light is infrared light; and The battery cell to be inspected is inspected according to the first image data and the second image data.

18. The battery cell detection method according to claim 17, further comprising: include: Determine characteristic data of each defect of the defect type according to the defect type to which the detected defect belongs; and The detection result of the battery cell to be detected is determined according to the characteristic data of each defect of the defect type.

19. The battery cell detection method according to claim 18, in: The defect type is a foreign body defect; Determining characteristic data of each defect of the defect type according to the defect type to which the detected defect belongs includes: obtaining the size of one or more defects in the foreign body defect; Determining the inspection result of the battery cell to be inspected based on the characteristic data of each defect of this defect type includes: when the size of at least one defect among the one or more defects is greater than or equal to a first size threshold, determining that the battery cell to be inspected has failed the inspection; when the sizes of the one or more defects are all smaller than the first size threshold, determining that the battery cell to be inspected has passed the inspection.

20. The battery cell detection method according to claim 18, in: The defect type is a bubble defect; Determining characteristic data of each defect of the defect type according to the defect type to which the detected defect belongs includes: obtaining the number of the bubble-type defects; Determining the inspection result of the battery cell to be inspected based on the characteristic data of each defect of this defect type includes: when the number of the bubble-type defects is greater than or equal to the quantity threshold, determining that the battery cell to be inspected has failed the inspection; and when the number of the bubble-type defects is less than the quantity threshold, determining that the battery cell to be inspected has passed the inspection.

21. The battery cell detection method according to claim 18, in: The defect type is a bubble defect; According to the defect type to which the detected defect belongs, determining the characteristic data of each defect of the defect type includes: obtaining the size of one or more defects in the bubble type defects; Determining the inspection result of the battery cell to be inspected based on the characteristic data of each defect of this defect type includes: when at least one defect among the one or more defects has a size greater than or equal to a second size threshold, or when the sum of the sizes of the one or more defects is greater than or equal to a third size threshold, determining that the battery cell to be inspected has failed the inspection; when the size of each of the one or more defects is less than the second size threshold and the sum of the sizes of the one or more defects is less than the third size threshold, determining that the battery cell to be inspected has passed the inspection.

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