Battery piece defect reinspection method, device, equipment, storage medium and product

Abstract

The invention relates to the technical field of photovoltaic cells, in particular to a battery piece defect reinspection method, device and equipment, a storage medium and a product. Image data of a to-be-reinspected battery piece is input into a trained defect detection model for battery piece defect detection, so that reinspection is carried out; according to the method, the to-be-rechecked battery piece is rechecked, the target battery piece is determined based on the rechecked defect detection result and the detection result of the to-be-rechecked battery piece, and finally the battery piece attribute information of the target battery piece is issued, so that the automatic sorting equipment can re-sort the target battery piece, the output efficiency of qualified battery pieces of a production line is improved, and the production cost is reduced. The technical problems that in the prior art, when the battery piece has quality defects, the rechecking efficiency is low, and the workload is large are solved.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic cell technology, and in particular to a cell defect re-inspection method, device, equipment, storage medium and product. Background Art

[0002] When traditional photovoltaic cells are off the production line, they need to undergo quality inspections, such as electroluminescence inspection and photoluminescence inspection. However, after the inspection is completed, they are generally subject to quality review using equipment used for quality inspection. However, in order to reduce the missed detection rate, traditional equipment for defect detection of cells has a high electroluminescence inspection pass rate and low inspection quality. Therefore, in order to improve the quality of cells, manual re-inspection machines are set up on the battery production line to manually re-inspect the cells. However, manual re-inspection is inefficient and labor-intensive, and may result in false detections.

[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of the present invention is to provide a method, device, equipment, storage medium and product for re-inspection of battery cell defects, aiming to solve the technical problems in the prior art that when battery cells have quality defects, the re-inspection efficiency is low and the workload is large.

[0005] To achieve the above object, the present invention provides a method for re-inspecting defects of a battery cell, the method comprising the following steps:

[0006] Acquire image data of the battery cell to be re-inspected;

[0007] Performing cell defect detection on the image data through a trained defect detection model to determine a target cell, wherein the target cell is a cell whose defect detection result is opposite to the electroluminescence detection result of the cell to be re-inspected;

[0008] Sending the cell attribute information of the target cell;

[0009] The target battery cells are re-sorted by automatic sorting equipment based on the battery cell attribute information.

[0010] Optionally, the step of obtaining image data of the battery cell to be re-inspected includes:

[0011] Receive cell property information sent from the quality inspection machine;

[0012] Selecting the battery cells to be re-inspected according to the battery cell attribute information;

[0013] Image data of the battery cell to be reviewed is acquired based on the image path in the battery cell attribute information.

[0014] Optionally, performing cell defect detection on the image data through a trained defect detection model to determine a target cell includes:

[0015] Preprocessing the image data;

[0016] The preprocessed image data is subjected to electroluminescence detection through a trained defect detection model;

[0017] According to the electroluminescence test result, a target cell is selected from the cells to be re-inspected, wherein the target cell is a cell to be re-inspected that is qualified in the electroluminescence test.

[0018] Optionally, the re-sorting the target battery cells by automatic sorting equipment based on the battery cell attribute information includes:

[0019] Determine a target interface field of the target cell based on the cell attribute information;

[0020] Based on the target interface field, an automatic sorting device is driven to re-sort the target battery slice.

[0021] Optionally, the battery cell defect re-inspection method further includes:

[0022] When the battery cell material box meets the preset conditions, the automatic sorting device is driven to report actual battery cell attribute data, and the actual battery cell attribute data at least includes an actual battery cell identification code, an actual electrical performance test bin number and actual sorting time information.

[0023] Optionally, the battery cell defect re-inspection method further includes:

[0024] The sent cell attribute information is compared with the actual cell attribute information fed back by the automatic sorting device to implement cell sorting query and traceability.

[0025] In addition, to achieve the above-mentioned purpose, the present invention also provides a battery cell defect re-inspection device, the battery cell defect re-inspection device comprising:

[0026] An acquisition module, used to acquire image data of the battery cell to be re-inspected;

[0027] A detection module, used to perform cell defect detection on the image data through a trained defect detection model to determine a target cell, wherein the target cell is a cell whose defect detection result is opposite to the electroluminescence detection result of the cell to be re-inspected;

[0028] A sending module, used for sending the cell attribute information of the target cell;

[0029] The sorting module is used to re-sort the target battery cell through automatic sorting equipment based on the battery cell attribute information.

[0030] In addition, to achieve the above-mentioned purpose, the present invention also proposes a battery cell defect review device, which includes: a memory, a processor, and a battery cell defect review program stored on the memory and executable on the processor, and the battery cell defect review program is configured to implement the steps of the battery cell defect review method described above.

[0031] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a battery cell defect review program is stored, and when the battery cell defect review program is executed by a processor, the steps of the battery cell defect review method described above are implemented.

[0032] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the battery cell defect re-inspection method as described above.

[0033] One or more technical solutions proposed in the present application have at least the following technical effects: the present invention discloses a method for re-inspecting defects of a battery cell, the method comprising: acquiring image data of a battery cell to be re-inspected; performing battery cell defect detection on the image data through a trained defect detection model to determine a target battery cell, the target battery cell having a defect detection result opposite to the electroluminescence detection result of the battery cell to be re-inspected; issuing battery cell attribute information of the target battery cell; and re-sorting the target battery cell through an automatic sorting device based on the battery cell attribute information. Compared with the prior art, the present invention performs re-inspection by inputting the image data of the battery cell to be re-inspected into a trained defect detection model for battery cell defect detection, and determines the target battery cell based on the defect detection result of the re-inspection and the detection result of the battery cell to be re-inspected, and finally issuing the battery cell attribute information of the target battery cell so that the automatic sorting device can re-sort the target battery cell, so as to improve the output efficiency of qualified battery cells of the production line, thereby avoiding the technical problems of low efficiency and large workload of re-inspection when there are quality defects in the battery cell in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0035] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0036] Figure 1 It is a schematic diagram of the flow chart of the first embodiment of the battery cell defect re-inspection method of the present invention;

[0037] Figure 2 It is a diagram showing the overall architecture of battery defect re-inspection according to an embodiment of a battery cell defect re-inspection method of the present invention;

[0038] Figure 3 It is a schematic diagram of the overall process of battery defect re-inspection according to an embodiment of a battery cell defect re-inspection method of the present invention;

[0039] Figure 4 It is a flow chart of a second embodiment of a cell defect re-inspection method of the present invention;

[0040] Figure 5 This is an example diagram of a battery cell classification query and tracing scheme according to an embodiment of a battery cell defect re-inspection method of the present invention;

[0041] Figure 6 This is an example diagram of a battery cell classification query and tracing example of an embodiment of a battery cell defect re-inspection method of the present invention;

[0042] Figure 7 It is a structural block diagram of the first embodiment of the battery cell defect re-inspection device of the present invention;

[0043] Figure 8 It is a structural schematic diagram of a battery cell defect re-inspection device in a hardware operating environment involved in an embodiment of the present invention.

[0044] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0045] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0046] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0047] Based on this, an embodiment of the present invention provides a method for re-inspecting defects of a battery cell, referring to Figure 1 , Figure 1 It is a flow chart of a first embodiment of a method for re-inspecting defects of a battery cell according to the present invention.

[0048] In this embodiment, the cell defect re-inspection method comprises the following steps:

[0049] Step S10: Acquire image data of the battery cell to be re-inspected.

[0050] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a control computer of a battery production line, etc. The control computer of a battery production line is taken as an example to illustrate this embodiment and the following embodiments.

[0051] It should be noted that the current pass rate for electroluminescence (EL) inspection of battery cells is very high. Therefore, in addition to the online EL inspection equipment, an offline inspection machine needs to be added to the production line to manually re-judge the NG products on the online side. However, the manual judgment method for classifying defects is inefficient, labor-intensive, and prone to false detection and missed detection, which leads to customer complaints and batch defective products.

[0052] The cells to be re-inspected refer to cells that meet the preset luminescence detection conditions, specifically cells that meet the EL test results of NG (failed) and the PL test results of OK (qualified).

[0053] EL refers to electroluminescence testing, which mainly detects defects inside the battery by applying voltage to the battery to make it glow, and then uses a highly sensitive camera to capture near-infrared images. It can quickly and accurately locate common defects such as cracks, broken grids, and hidden cracks in the battery cells, ensuring that the photovoltaic cells leaving the factory have excellent performance and stability.

[0054] PL refers to photoluminescence testing. Photoluminescence testing refers to the use of light (usually laser) to irradiate materials so that the materials absorb light energy and excite electrons to higher energy levels. When these electrons return to the ground state, they release energy in the form of light. This light emission is called photoluminescence, which can simulate actual lighting conditions, excite the cell and collect fluorescent signals, thereby analyzing the electrical performance parameters and defects of the cell.

[0055] Specifically, by screening out batteries that fail the electroluminescence test but pass the photoluminescence test on the battery production line as batteries to be re-inspected, and obtaining image data of the batteries to be re-inspected, the battery cells can be re-inspected through the trained defect detection model, thereby improving the pass rate of the production line batteries and making the pass rate of the production line batteries more accurate.

[0056] Furthermore, the step of obtaining image data of the battery cell to be re-inspected includes:

[0057] Receive cell property information sent from the quality inspection machine;

[0058] Selecting the battery cells to be re-inspected according to the battery cell attribute information;

[0059] Image data of the battery cell to be reviewed is acquired based on the image path in the battery cell attribute information.

[0060] In a specific implementation, the cell attribute information includes but is not limited to the cell identification code ID, the bin number of the electrical performance test result (IV_BIN), the bin number of the electroluminescence test result (EPL_BIN: EL), the bin number of the photoluminescence test result (EPL_BIN: PL), and the equipment test time (Test_time: IV).

[0061] The cell data information can be used to screen out cells to be re-inspected, and can also be used for traceability after subsequent cell sorting, thereby improving the efficiency of outputting qualified cells for the entire battery production line.

[0062] Specifically, refer to Figure 2 and Figure 3 The entire battery defect re-inspection architecture in this embodiment is a quality inspection machine (EPL inspection machine, an integrated machine for both battery cell EL inspection and PL inspection), a control computer with an online EL re-inspection system, an Equipment Automation Programming (EAP) system, and an automated sorting device. The EPL inspection machine screens the EL and PL inspection results, and selects the battery cells with EL=NG, PL=OK, and sends the information such as CELLID, IV_BIN, EPL_BIN, Test_time, and EL image path to the online EL re-inspection system through the KAFKA message middleware, thereby realizing defect re-inspection of the image data of the battery cells to be re-inspected.

[0063] Step S20: Performing cell defect detection on the image data through a trained defect detection model to determine a target cell, wherein the target cell has a defect detection result opposite to the electroluminescence detection result of the cell to be re-inspected.

[0064] Furthermore, the performing cell defect detection on the image data through a trained defect detection model to determine a target cell includes:

[0065] Preprocessing the image data;

[0066] The preprocessed image data is subjected to electroluminescence detection through a trained defect detection model;

[0067] According to the electroluminescence test result, a target cell is selected from the cells to be re-inspected, wherein the target cell is a cell to be re-inspected that is qualified in the electroluminescence test.

[0068] It should be understood that when taking battery images, the battery image data may be blurred or blocked due to the test phase, light, shadow, dust, etc. In order to improve the accuracy of battery cell defect re-inspection, the image data is pre-processed in this embodiment, including but not limited to image clarity, deblurring, and image restoration.

[0069] In the specific implementation, the online EL re-inspection system obtains image data according to the EL image path, and uses the image as the input of the defect detection model to detect whether the EL image of the battery cell is OK or NG. If the re-inspection system determines that it is OK, it means that the battery cell can be upgraded to a good product, that is, it is used as the target battery cell. If the re-inspection system determines that it is NG, it means that the battery cell cannot be upgraded to a good product, and the automatic sorting equipment executes the EPL BIN instruction by default to perform subsequent scrapping or reprocessing.

[0070] Step S30: Sending the cell attribute information of the target cell.

[0071] If the above Figure 3 In S2 shown in FIG, the image-based detection model determines that EL is OK for upgrading, and then sends CELLID and IV_BIN sent by EPL to the EAP system through the KAFKA message middleware, so that the EAP system forwards the battery cell attribute information to the automatic sorting equipment to perform the re-sorting of the battery cells.

[0072] Step S40: re-sorting the target battery cells by automatic sorting equipment based on the battery cell attribute information.

[0073] The automatic sorting equipment can sort the target battery cells based on the received battery cell identification code ID and electrical performance test grade number, thereby distinguishing qualified batteries from unqualified batteries and improving the operating efficiency of the production line.

[0074] This embodiment performs cell defect detection by inputting the image data of the cell to be re-inspected into a trained defect detection model for re-inspection, and determines the target cell based on the defect detection result of the re-inspection and the detection result of the cell to be re-inspected, and finally sends the cell attribute information of the target cell so that the automatic sorting equipment can re-sort the target cell to improve the output efficiency of qualified cell of the production line, thereby avoiding the technical problems of low efficiency and large workload of re-inspection when there are quality defects in the cell in the prior art.

[0075] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 4 , step S40, comprising:

[0076] Step S401: determining a target interface field of the target cell based on the cell attribute information.

[0077] Step S402: driving an automatic sorting device to re-sort the target battery cell based on the target interface field.

[0078] It should be noted that the interface field refers to the Assign_Code field. The Assign_Code field is generally 1 or 2. When the Assign_Code field is 1, the automated sorting equipment can perform the operation of re-sorting the target battery cells. When the Assign_Code field is 2, the automated sorting equipment does not perform the operation of re-sorting the target battery cells. This embodiment does not impose specific restrictions on this.

[0079] Furthermore, after the automatic sorting device is driven based on the target interface field to re-sort the target battery slice, the method further includes:

[0080] When the battery cell material box meets the preset conditions, the automatic sorting device is driven to report actual battery cell attribute data, and the actual battery cell attribute data at least includes an actual battery cell identification code, an actual electrical performance test bin number and actual sorting time information.

[0081] The preset condition means that the current battery cell material box is full of battery cells. At this time, the automated sorting equipment reports the CELLID and BIN number of the battery cells in the material box to EAP through PLC, and replaces the empty battery cell material box for subsequent battery sorting.

[0082] Furthermore, after driving the automatic sorting device to report the actual battery cell attribute data, the method further includes:

[0083] The sent cell attribute information is compared with the actual cell attribute information fed back by the automatic sorting device to implement cell sorting query and traceability.

[0084] Understandably, reference Figure 5 and Figure 6 , Figure 5 and Figure 6This is a scheme and example for binning and tracing. According to the historical information of battery binning, the abnormality can be quickly checked. The EAP system feeds back the CELLID, BIN, and time information of the actual BIN of the battery to the online EL re-inspection system through the KAFKA message middleware. The online EL re-inspection system compares the sent battery BIN data with the received actual BIN data, and then completes the query and tracing of the battery BIN.

[0085] This embodiment determines the target interface field of the target battery cell based on the battery cell attribute information; and drives the automatic sorting equipment to re-sort the target battery cell based on the target interface field, so that during re-inspection, only the battery cells that can be upgraded are re-sorted, and the sorting logic of the remaining battery cells is still executed according to the processing of the original equipment, ensuring that the battery cells are not mixed or misclassified.

[0086] This application also provides a battery cell defect re-inspection device, please refer to Figure 7 , the battery cell defect re-inspection device comprises:

[0087] The acquisition module 10 is used to acquire image data of the battery cell to be re-inspected.

[0088] The detection module 20 is used to perform cell defect detection on the image data through a trained defect detection model to determine a target cell, wherein the target cell has a defect detection result opposite to the electroluminescence detection result of the cell to be re-inspected.

[0089] The sending module 30 is used to send the cell attribute information of the target cell.

[0090] The sorting module 40 is used to re-sort the target battery cells through automatic sorting equipment based on the battery cell attribute information.

[0091] This embodiment performs cell defect detection by inputting the image data of the cell to be re-inspected into a trained defect detection model for re-inspection, and determines the target cell based on the defect detection result of the re-inspection and the detection result of the cell to be re-inspected, and finally sends the cell attribute information of the target cell so that the automatic sorting equipment can re-sort the target cell to improve the output efficiency of qualified cell of the production line, thereby avoiding the technical problems of low efficiency and large workload of re-inspection when there are quality defects in the cell in the prior art.

[0092] In one embodiment, the acquisition module 10 is further used to receive cell attribute information sent from a quality inspection machine; select cells to be re-inspected according to the cell attribute information; and acquire image data of the cell to be re-inspected based on the image path in the cell attribute information.

[0093] In one embodiment, the detection module 20 is also used to preprocess the image data; perform electroluminescence detection on the preprocessed image data through a trained defect detection model; and screen out target cells from the cells to be re-inspected based on the electroluminescence detection results, wherein the target cells are cells to be re-inspected that have passed the electroluminescence test.

[0094] In one embodiment, the sorting module 40 is further used to determine the target interface field of the target cell based on the cell attribute information; and drive the automatic sorting device to re-sort the target cell based on the target interface field.

[0095] In one embodiment, the sorting module 40 is also used to drive the automatic sorting device to report actual battery cell attribute data when the battery cell box meets preset conditions. The actual battery cell attribute data at least includes an actual battery cell identification code, an actual electrical performance test bin number and actual sorting time information.

[0096] In one embodiment, the sorting module 40 is further used to compare the sent cell attribute information with the actual cell attribute information fed back by the automatic sorting device, so as to realize the sorting query and traceability of the cell.

[0097] The present application provides a battery cell defect review device, which includes: 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, and the instructions are executed by the at least one processor so that the at least one processor can execute the battery cell defect review method in the above-mentioned embodiment one.

[0098] Reference below Figure 8 , which shows a schematic diagram of the structure of a battery cell defect re-inspection device suitable for implementing the embodiment of the present application. The battery cell defect re-inspection device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 8 The cell defect review equipment shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0099] like Figure 8As shown, the battery cell defect review device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the battery cell defect review device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the battery cell defect review device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a battery cell defect review device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.

[0100] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0101] The cell defect re-inspection device provided by the present application adopts the cell defect re-inspection method in the above embodiment, which can solve the technical problem of cell defect re-inspection. Compared with the prior art, the beneficial effects of the cell defect re-inspection device provided by the present application are the same as the beneficial effects of the cell defect re-inspection method provided by the above embodiment, and the other technical features in the cell defect re-inspection device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0102] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0103] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0104] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the battery cell defect review method in the above-mentioned embodiment.

[0105] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0106] The computer-readable storage medium may be included in the battery cell defect review device; or may exist independently without being assembled into the battery cell defect review device.

[0107] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the battery cell defect review device, the battery cell defect review device performs: battery cell defect review.

[0108] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0109] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0110] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0111] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned battery cell defect re-inspection method, and can solve the technical problems of battery cell defect re-inspection. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the battery cell defect re-inspection method provided in the above-mentioned embodiment, and will not be repeated here.

[0112] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned battery cell defect re-inspection method when executed by a processor.

[0113] The computer program product provided in this application can solve the technical problem of cell defect re-inspection. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the cell defect re-inspection method provided in the above embodiment, which will not be repeated here.

[0114] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for re-inspecting defects of a battery cell, characterized in that: The cell defect re-inspection method comprises: Acquire image data of the battery cell to be re-inspected; Performing cell defect detection on the image data through a trained defect detection model to determine a target cell, wherein the target cell is a cell whose defect detection result is opposite to the electroluminescence detection result of the cell to be re-inspected; Sending the cell attribute information of the target cell; The target battery cells are re-sorted by automatic sorting equipment based on the battery cell attribute information.

2. The method according to claim 1, characterized in that The step of obtaining image data of the battery cell to be re-inspected includes: Receive cell property information sent from the quality inspection machine; Selecting the battery cells to be re-inspected according to the battery cell attribute information; Image data of the battery cell to be reviewed is acquired based on the image path in the battery cell attribute information.

3. The method according to claim 1, characterized in that The step of performing cell defect detection on the image data through a trained defect detection model to determine a target cell includes: Preprocessing the image data; The preprocessed image data is subjected to electroluminescence detection through a trained defect detection model; According to the electroluminescence test result, a target cell is selected from the cells to be re-inspected, wherein the target cell is a cell to be re-inspected that is qualified in the electroluminescence test.

4. The method according to claim 1, characterized in that The re-sorting the target battery cells by automatic sorting equipment based on the battery cell attribute information includes: Determine a target interface field of the target cell based on the cell attribute information; Based on the target interface field, an automatic sorting device is driven to re-sort the target battery slice.

5. The method according to claim 4, characterized in that The battery cell defect re-inspection method further includes: When the battery cell material box meets the preset conditions, the automatic sorting device is driven to report actual battery cell attribute data, and the actual battery cell attribute data at least includes an actual battery cell identification code, an actual electrical performance test bin number and actual sorting time information.

6. The method according to claim 5, characterized in that The battery cell defect re-inspection method further includes: The sent cell attribute information is compared with the actual cell attribute information fed back by the automatic sorting device to implement cell sorting query and traceability.

7. A battery cell defect re-inspection device, characterized in that: The battery cell defect re-inspection device comprises: An acquisition module, used to acquire image data of the battery cell to be re-inspected; A detection module, used to perform cell defect detection on the image data through a trained defect detection model to determine a target cell, wherein the target cell is a cell whose defect detection result is opposite to the electroluminescence detection result of the cell to be re-inspected; A sending module, used for sending the cell attribute information of the target cell; The sorting module is used to re-sort the target battery cell through automatic sorting equipment based on the battery cell attribute information.

8. A battery cell defect re-inspection device, characterized in that: The battery cell defect review device comprises: a memory, a processor, and a battery cell defect review program stored in the memory and executable on the processor, wherein the battery cell defect review program is configured to implement the steps of the battery cell defect review method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium stores a battery cell defect review program, and when the battery cell defect review program is executed by the processor, the steps of the battery cell defect review method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the battery cell defect review method according to any one of claims 1 to 6 are implemented.

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