Thermal cutting processing equipment and method based on recycling and cascading utilization of retired power lithium batteries

By detecting the voltage and capacity of lithium batteries and combining image processing technology to identify and correct positive and negative electrodes, the problem of difficulty in identifying positive and negative electrodes in lithium battery disassembly is solved, and efficient recycling and cascade utilization of lithium battery materials is achieved.

CN118789124BActive Publication Date: 2025-04-22BAOJI FENGMAO MATERIAL RECYCLING CO LTD
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Patent Information

Application Number
CN202410781385.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-06-18
Publication Date
2025-04-22
Estimated Expiration
2044-06-18

AI Technical Summary

Technical Problem

In the prior art, when scrapped lithium batteries are disassembled, it is difficult to accurately identify and optimize the positive and negative electrodes of the battery, resulting in the inability to effectively recover the materials.

Method used

By detecting the voltage and capacity of the lithium battery to be tested, the batteries that cannot be used in a sequence are screened out, and the location of the positive and negative electrodes of the battery is identified by image processing technology to ensure that it is on the preset workbench and then laser cutting is performed.

Benefits of technology

It realizes accurate identification and correction of the positive and negative electrodes of lithium batteries, improves the efficiency and accuracy of thermal cutting, and ensures effective recycling and cascade utilization of lithium battery materials.

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Abstract

The present invention relates to the field of thermal cutting technology for lithium batteries, and is a thermal cutting processing device and method based on the recycling and cascade utilization of retired power lithium batteries, comprising: obtaining a battery set to be tested, performing the following operations on the extracted batteries to be tested: performing voltage detection and capacity detection operations on the batteries to be tested to obtain a second battery, removing all second batteries from the battery set to be tested to obtain a battery set to be disassembled, extracting the batteries to be disassembled in sequence, photographing the extracted batteries to be disassembled to obtain a positive electrode image of the battery, judging whether the extracted batteries to be disassembled are on a workbench based on the positive electrode image of the battery, performing a cutting operation on the batteries to be disassembled based on a pre-built laser generator to obtain a cut positive electrode material, and completing the thermal cutting processing for the recycling and cascade utilization of retired power lithium batteries based on the cut positive electrode material. After the present invention screens batteries for cascade utilization and accurately identifies and corrects the positive and negative electrodes of the batteries, it completes the thermal cutting optimization based on the cascade utilization of materials of retired batteries.
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Description

Technical Field

[0001] The present invention relates to the field of thermal cutting technology for lithium batteries, and in particular to a thermal cutting processing method, equipment, electronic equipment and computer-readable storage medium based on the recycling and cascade utilization of retired power lithium batteries. Background Art

[0002] Lithium batteries are the core power source of new energy and have a large market demand. However, the service life of lithium batteries is limited. The cascade utilization method is of great significance in alleviating resource shortages and reducing environmental pollution.

[0003] In the prior art, in addition to using retired batteries in the original scenario for scenarios that do not require high battery performance, such as using retired new energy vehicle batteries for power plant lighting, dismantling completely scrapped batteries and refining materials is also a method for the cascade utilization of retired batteries. In the prior art, when dismantling scrapped batteries, it is necessary to determine the positive and negative poles of the battery before thermal cutting.

[0004] In the above methods, artificial intelligence and other technologies are often used to determine the positive and negative poles of the battery. This technology is relatively costly and lacks a simplified identification method based on the characteristics of the positive and negative poles of the battery. In addition, when performing thermal cutting, the laser power is often not detected, resulting in the burning of battery materials and the inability to recover. Summary of the invention

[0005] The present invention provides a thermal cutting processing method based on the recycling and cascade utilization of retired power lithium batteries and a computer-readable storage medium, the main purpose of which is to screen the batteries for cascade utilization and accurately identify and correct the positive and negative electrodes of the batteries, and then complete the thermal cutting optimization based on the cascade utilization of materials of retired batteries.

[0006] To achieve the above-mentioned purpose, the present invention provides a thermal cutting treatment method based on the recycling and cascade utilization of retired power lithium batteries, comprising:

[0007] Obtain a battery set to be tested, extract batteries to be tested from the battery set in sequence, and perform the following operations on the extracted batteries to be tested:

[0008] Performing a voltage detection operation on the extracted battery to be tested, and obtaining a first battery after confirming that the extracted battery to be tested is retained based on a preset voltage threshold;

[0009] Performing a capacity detection operation on the first battery, and obtaining a second battery after confirming that the extracted first battery is retained based on a preset capacity threshold;

[0010] All second batteries are removed from the battery set to be tested to obtain a battery set to be disassembled, batteries to be disassembled are extracted from the battery set to be disassembled in sequence, and the following operations are performed on the extracted batteries to be disassembled:

[0011] After confirming that the battery to be disassembled is at the disassembly station, the extracted battery to be disassembled is photographed using a pre-built monitoring device to obtain a first polarity graph and a second polarity graph of the battery to be disassembled, image processing operations are performed on both the first polarity graph and the second polarity graph to obtain a battery positive electrode image, and based on the battery positive electrode image, it is determined whether the extracted battery to be disassembled is at a preset workbench;

[0012] The performing of image processing operations on both the first pole figure and the second pole figure to obtain a positive electrode image of the battery includes:

[0013] Acquire multiple pixel coordinates of the first pole figure using a pre-constructed image coordinate system, extract pixel coordinates from the multiple pixel coordinates in sequence, perform a grayscale operation on the extracted pixel coordinates to obtain grayscale values ​​corresponding to the extracted pixel coordinates, and construct a grayscale image according to the grayscale values ​​corresponding to each pixel coordinate in the multiple pixel coordinates;

[0014] Performing an image segmentation operation on the grayscale image according to the grayscale image and a pre-constructed image segmentation method to obtain an electrode region and a background region, and performing a binarization operation on the electrode region and the background region to obtain a binarized image;

[0015] Based on the binarized image, obtain a first eigenvalue corresponding to the binarized image, wherein the first eigenvalue is the sum of the grayscale values ​​corresponding to each pixel in all pixels in the binarized image, and the first eigenvalue corresponds to the first pole figure;

[0016] Obtaining a second eigenvalue according to the second pole figure and the image coordinate system, wherein the second eigenvalue corresponds to the second pole figure;

[0017] Comparing the first eigenvalue with the second eigenvalue;

[0018] If the first eigenvalue is greater than the second eigenvalue, it is confirmed that the first pole figure corresponding to the first eigenvalue is the negative pole of the battery, and the second pole figure corresponding to the second eigenvalue is the positive pole of the battery;

[0019] If the first eigenvalue is less than the second eigenvalue, it is confirmed that the first pole figure corresponding to the first eigenvalue is the positive pole of the battery, and the second pole figure corresponding to the second eigenvalue is the negative pole of the battery;

[0020] Acquire a positive electrode image of the battery according to the positive electrode of the battery and the negative electrode of the battery;

[0021] Wherein, judging whether the extracted battery to be disassembled is on a preset workbench based on the battery positive electrode image includes:

[0022] Based on the positive electrode image of the battery, a camera device corresponding to the positive electrode of the battery is identified; based on the camera device, a device coordinate of the camera device in a pre-constructed geodetic coordinate system is obtained; based on the device coordinate and the preset positive electrode device coordinate, whether the positive electrode of the battery is located at a preset workbench is determined, wherein the workbench includes a positive electrode workbench and a negative electrode workbench;

[0023] If the device coordinates are consistent with the positive electrode device coordinates, after confirming that the positive electrode of the battery is on the positive electrode workbench, confirm that the battery to be disassembled is on a preset workbench;

[0024] If the device coordinates are inconsistent with the preset positive electrode device coordinates, after confirming that the positive electrode of the battery is on the negative electrode workbench, the battery to be disassembled is rotated by using a pre-built rotating mechanism to obtain a rotated battery;

[0025] Obtaining a camera device of a battery positive electrode corresponding to the rotated battery based on the rotated battery, and returning to the step of obtaining device coordinates of the camera device in a pre-constructed geodetic coordinate system based on the camera device until it is confirmed that the battery to be disassembled is on a preset workbench;

[0026] After confirming that the extracted battery to be disassembled is on the workbench, a cutting operation is performed on the battery to be disassembled based on a pre-built laser generator to obtain a cut positive electrode material, a cut negative electrode material and a shelled battery cell, and a cutting process of the extracted battery to be disassembled is completed based on the cut positive electrode material, the cut negative electrode material and the shelled battery cell;

[0027] After confirming that all the batteries to be disassembled in the battery set have completed the cutting process, the thermal cutting process for the retired power lithium battery recycling and cascade utilization is completed.

[0028] Optionally, performing a voltage detection operation on the extracted battery to be tested, and obtaining a first battery after confirming to retain the extracted battery to be tested based on a preset voltage threshold, comprises:

[0029] Obtaining an available voltage of the battery to be tested based on the battery to be tested, and comparing the available voltage with a voltage threshold;

[0030] If the available voltage is greater than or equal to the voltage threshold, the extracted battery to be tested is retained and it is confirmed that the extracted battery to be tested is the first battery; otherwise, the extracted battery to be tested is skipped.

[0031] Optionally, performing a capacity detection operation on the first battery and confirming based on a preset capacity threshold that the extracted first battery is retained to obtain the second battery comprises:

[0032] Obtaining a rated capacity and a remaining capacity of the first battery, and obtaining a remaining capacity rate based on the rated capacity and the remaining capacity, wherein the remaining capacity rate is a percentage value of the remaining capacity to the rated capacity;

[0033] comparing the remaining capacity rate with a preset capacity rate threshold, and if the remaining capacity rate is greater than or equal to the capacity rate threshold, confirming that the first battery is the initial second battery, otherwise, skipping the first battery;

[0034] Performing a charging operation on the initial second battery, and after confirming that the initial second battery has been charged, detecting the capacity of the initial second battery before being placed in a static state;

[0035] Performing a rest process on the initial second battery based on a preset rest time, detecting the battery capacity of the initial second battery after the rest time, and obtaining the post-rest capacity of the initial second battery;

[0036] Calculating the capacity retention rate of the initial second battery based on the capacity before and after the standing still, wherein the capacity retention rate is a percentage value of the capacity after the standing still to the capacity before the standing still;

[0037] The capacity retention rate is compared with a preset retention rate threshold, and if the capacity retention rate is greater than or equal to the retention rate threshold, the initial second battery is retained and confirmed as the second battery, otherwise, the initial second battery is skipped.

[0038] Optionally, performing an image segmentation operation on the grayscale image according to the grayscale image and a pre-constructed image segmentation method to obtain an electrode area and a background area includes:

[0039] Extracting grayscale coordinates from the grayscale image in sequence, wherein the grayscale coordinates are pixel coordinates in the grayscale image, obtaining grayscale values ​​corresponding to the grayscale coordinates based on the extracted grayscale coordinates, obtaining grayscale value mean values ​​corresponding to the grayscale image according to the grayscale values, and obtaining an optimal global threshold according to the grayscale value mean value and a pre-constructed global threshold segmentation formula;

[0040] The grayscale values ​​are extracted from the grayscale image in sequence, and the following operations are performed on the extracted grayscale values:

[0041] Compare the extracted grayscale value with the optimal global threshold;

[0042] If the extracted grayscale value is greater than the optimal global threshold, the grayscale coordinates corresponding to the extracted grayscale value are confirmed to be pixel coordinates in the electrode area, and the initial electrode coordinates are obtained;

[0043] If the extracted grayscale value is less than or equal to the optimal global threshold, the grayscale coordinates corresponding to the extracted grayscale value are confirmed to be pixel coordinates in the background area, and the initial background coordinates are obtained;

[0044] The electrode region is acquired based on the multiple initial electrode coordinates, and the background region is acquired based on the multiple initial background coordinates.

[0045] Optionally, obtaining a grayscale value mean corresponding to the grayscale image according to the grayscale value, and obtaining an optimal global threshold according to the grayscale value mean and a pre-constructed global threshold segmentation formula includes:

[0046] The calculation formula of the gray value mean is:

[0047] u=u1w1+u2w2

[0048] Wherein, u represents the mean grayscale value, w1 represents the ratio of the number of grayscale coordinates corresponding to the background area in the grayscale image to the total number of pixels in the grayscale image, w2 represents the ratio of the number of grayscale coordinates corresponding to the electrode area in the grayscale image to the total number of pixels in the grayscale image, u1 represents the mean of all grayscale values ​​corresponding to the background area, and u2 represents the mean of all grayscale values ​​corresponding to the electrode area;

[0049] Among them, the global threshold segmentation formula is:

[0050] F max (T) = w1(u-u1) 2 +w2(u-u2) 2

[0051] Among them, T represents the optimal global threshold, F max (T) represents the maximum between-class variance.

[0052] Optionally, performing a binarization operation on the electrode region and the background region to obtain a binarized image includes:

[0053] Extracting grayscale coordinates from the electrode region in sequence, and assigning a grayscale value corresponding to each extracted grayscale coordinate to 255, to obtain an electrode pixel;

[0054] Extracting grayscale coordinates from the background area in sequence, and assigning a grayscale value corresponding to each extracted grayscale coordinate to 0, to obtain background pixels;

[0055] Multiple electrode pixels and multiple background pixels are aggregated to obtain a binary image.

[0056] Optionally, the pre-built laser generator is used to perform a cutting operation on the battery to be disassembled to obtain a cut positive electrode material, a cut negative electrode material and a shelled battery cell, including:

[0057] Identify the positive electrode material based on the battery to be disassembled, and obtain the pulse power range corresponding to the positive electrode material based on the positive electrode material;

[0058] Based on the laser generator, a pulse power density corresponding to the laser generator is obtained. After confirming that the pulse powers are all within the pulse power range based on the pulse power density, the laser generator is enabled, and the laser generator is used to perform a cutting operation on the positive electrode of the battery to obtain a cut positive electrode material, wherein the cut positive electrode material is a material obtained after cutting the positive electrode of the battery;

[0059] After the negative electrode material is confirmed based on the battery to be disassembled, the cut negative electrode material is obtained based on the negative electrode material, and the shelled battery cell is obtained according to the cut negative electrode material to complete the cutting of the negative electrode of the battery to be disassembled.

[0060] To achieve the above object, the present invention also provides a thermal cutting processing system based on the recycling and cascade utilization of retired power lithium batteries, comprising:

[0061] The module for obtaining a battery set to be disassembled is used to obtain a battery set to be tested, extract batteries to be tested from the battery set to be tested in sequence, and perform the following operations on the extracted batteries to be tested: perform a voltage detection operation on the extracted batteries to be tested, and obtain a first battery after confirming that the extracted batteries to be tested are retained based on a preset voltage threshold, perform a capacity detection operation on the first battery, and obtain a second battery after confirming that the extracted first battery is retained based on a preset capacity threshold, and remove all second batteries from the battery set to be tested to obtain a battery set to be disassembled;

[0062] The battery positive and negative pole judgment module is used to sequentially extract batteries to be disassembled from the battery set to be disassembled, and perform the following operations on the extracted batteries to be disassembled: after confirming that the battery to be disassembled is at the disassembly station, use a pre-built monitoring device to shoot the extracted battery to be disassembled to obtain a first pole figure and a second pole figure of the battery to be disassembled, perform image processing operations on the first pole figure and the second pole figure to obtain a battery positive pole image, and judge whether the extracted battery to be disassembled is at a preset workbench based on the battery positive pole image, wherein the image processing operations on the first pole figure and the second pole figure to obtain the battery positive pole image include: using a pre-built image coordinate system to obtain a plurality of pixel coordinates of the first pole figure, sequentially extracting a plurality of pixel coordinates from the plurality of pixel coordinates; Take pixel coordinates, and perform grayscale operation on the extracted pixel coordinates to obtain grayscale values ​​corresponding to the extracted pixel coordinates, construct a grayscale image according to the grayscale values ​​corresponding to each pixel coordinate in the plurality of pixel coordinates, perform image segmentation operation on the grayscale image according to the grayscale image and a pre-constructed image segmentation method to obtain an electrode area and a background area, perform binarization operation on the electrode area and the background area to obtain a binarized image, obtain a first eigenvalue corresponding to the binarized image based on the binarized image, wherein the first eigenvalue is the sum of the grayscale values ​​corresponding to each pixel in all pixels in the binarized image, and the first eigenvalue corresponds to a first pole figure, obtain a second eigenvalue according to the second pole figure and the image coordinate system, wherein the second eigenvalue corresponds to the second pole figure , compare the first eigenvalue with the second eigenvalue, if the first eigenvalue is greater than the second eigenvalue, then confirm that the first pole figure corresponding to the first eigenvalue is the negative pole of the battery, and the second pole figure corresponding to the second eigenvalue is the positive pole of the battery, if the first eigenvalue is less than the second eigenvalue, then confirm that the first pole figure corresponding to the first eigenvalue is the positive pole of the battery, and the second pole figure corresponding to the second eigenvalue is the negative pole of the battery, and obtain the positive pole image of the battery according to the positive pole and the negative pole of the battery, wherein the judging based on the positive pole image of the battery whether the extracted battery to be disassembled is on a preset workbench includes: confirming the camera device corresponding to the positive pole of the battery based on the positive pole image of the battery, obtaining the device coordinates of the camera device in a pre-constructed geodetic coordinate system based on the camera device, and obtaining the device coordinates based on the device coordinates and the pre-constructed geodetic coordinate system. The positive electrode device coordinates set are used to determine whether the positive electrode of the battery is on a preset workbench, wherein the workbench includes a positive electrode workbench and a negative electrode workbench. If the device coordinates are consistent with the positive electrode device coordinates, then after confirming that the positive electrode of the battery is on the positive electrode workbench, confirm that the battery to be disassembled is on the preset workbench. If the device coordinates are inconsistent with the preset positive electrode device coordinates, then after confirming that the positive electrode of the battery is on the negative electrode workbench, the battery to be disassembled is rotated using a pre-constructed rotating mechanism to obtain a rotated battery, and based on the rotated battery, a camera device of the positive electrode of the battery corresponding to the rotated battery is obtained, and the step of obtaining the device coordinates of the camera device in the pre-constructed geodetic coordinate system based on the camera device is returned to until it is confirmed that the battery to be disassembled is on the preset workbench;

[0063] A battery thermal cutting module, which is used to confirm that the extracted battery to be disassembled is on the workbench, and then perform a cutting operation on the battery to be disassembled based on a pre-built laser generator to obtain a cut positive electrode material, a cut negative electrode material and a shelled battery cell, and complete the cutting process of the extracted battery to be disassembled based on the cut positive electrode material, the cut negative electrode material and the shelled battery cell;

[0064] The thermal cutting confirmation module is used to confirm that all the batteries to be disassembled in the battery set to be disassembled have completed the cutting process, and then complete the thermal cutting process for the retired power lithium battery recycling and cascade utilization.

[0065] The present invention is to solve the problem described in the background technology. The present invention performs a voltage detection operation on the extracted battery to be tested, confirms to retain the extracted battery to be tested based on a preset voltage threshold, and obtains a first battery. The present invention performs a capacity detection operation on the first battery, confirms to retain the extracted first battery based on a preset capacity threshold, and obtains a second battery. All second batteries are removed from the battery set to be tested to obtain a battery set to be disassembled. In an embodiment of the present invention, the remaining batteries in the battery set to be tested after all second batteries are removed cannot be recycled. These batteries are disassembled to achieve recycled use of retired batteries from a material perspective. Batteries to be disassembled are extracted from the battery set to be disassembled in sequence, and the following operations are performed on the extracted batteries to be disassembled: after confirming that the batteries to be disassembled are at the disassembly station, the extracted batteries to be disassembled are photographed using a pre-built monitoring device to obtain a first pole figure and a second pole figure of the batteries to be disassembled, image processing operations are performed on the first pole figure and the second pole figure to obtain a battery positive electrode image, and based on the battery positive electrode image, it is determined whether the extracted batteries to be disassembled are at a preset workbench. In an embodiment of the present invention, the positive and negative poles of the battery to be tested are determined by comparing the first eigenvalue of the first pole figure with the second eigenvalue of the second pole figure, and whether the positive and negative poles of the battery to be disassembled are placed incorrectly is determined by comparing the device coordinates of the camera device corresponding to the positive pole of the battery in an actual situation with the preset positive pole device coordinates. After confirming that the extracted battery to be disassembled is on the workbench, a cutting operation is performed on the battery to be disassembled based on a pre-built laser generator to obtain the cut positive electrode material, the cut negative electrode material and the shelled battery cell, and the cutting process of the extracted battery to be disassembled is completed based on the cut positive electrode material, the cut negative electrode material and the shelled battery cell, and after confirming that all the batteries to be disassembled in the battery set to be disassembled have completed the cutting process, the thermal cutting process of the retired power lithium battery for recycling and cascade utilization is completed. The embodiment of the present invention ensures that the laser generator can realize the function of laser cutting without damaging the battery material to be disassembled by setting the pulse power interval. Therefore, the present invention completes the thermal cutting optimization based on the cascade utilization of materials of retired batteries after screening the batteries for cascade utilization and accurately identifying and correcting the positive and negative electrodes of the batteries. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1A schematic flow chart of a thermal cutting treatment method for recycling and cascading utilization of retired power lithium batteries provided in one embodiment of the present invention;

[0067] Figure 2 A functional module diagram of a thermal cutting processing device for recycling and cascading utilization of retired power lithium batteries provided by an embodiment of the present invention;

[0068] 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

[0069] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0070] The embodiment of the present application provides a thermal cutting treatment method based on the cascade utilization of retired power lithium batteries. The execution subject of the thermal cutting treatment method based on the cascade utilization of retired power lithium batteries includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the thermal cutting treatment method based on the cascade utilization of retired power lithium batteries can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0071] Reference Figure 1 FIG. 1 is a flow chart of a thermal cutting method for recycling and cascading power lithium batteries according to an embodiment of the present invention. In this embodiment, the thermal cutting method for recycling and cascading power lithium batteries according to the present invention includes:

[0072] S1. Obtain a battery set to be tested, and extract batteries to be tested from the battery set in sequence.

[0073] It should be noted that the embodiment of the present invention aims to use thermal cutting to perform disassembly operations on retired batteries that cannot be used in any usage scenario, so as to achieve cascade utilization of retired batteries from the material point of view. The battery set to be tested includes multiple batteries to be tested, and each of the multiple batteries to be tested is a retired battery, and the retired battery is a battery retired from the original usage scenario because its performance does not meet the usage requirements. The battery to be tested is a retired battery that needs to be tested. The purpose of performing testing on the battery to be tested is to eliminate batteries that can continue to be used in other usage scenarios and retain batteries that cannot be used in any scenario.

[0074] S2, and performing the following operations on the extracted batteries to be tested: performing a voltage detection operation on the extracted batteries to be tested, and obtaining a first battery after confirming that the extracted batteries to be tested are retained based on a preset voltage threshold.

[0075] Further, the step of performing a voltage detection operation on the extracted battery to be tested and obtaining a first battery after confirming to retain the extracted battery to be tested based on a preset voltage threshold comprises:

[0076] Obtaining an available voltage of the battery to be tested based on the battery to be tested, and comparing the available voltage with a voltage threshold;

[0077] If the available voltage is greater than or equal to the voltage threshold, the extracted battery to be tested is retained and it is confirmed that the extracted battery to be tested is the first battery; otherwise, the extracted battery to be tested is skipped.

[0078] It should be noted that the voltage threshold is the minimum voltage at which the battery to be tested can continue to be used as a retired battery in other scenarios. If the voltage of the battery to be tested is less than the voltage threshold, it is considered that the battery to be tested cannot meet the voltage usage requirements in any other scenario. At this time, the embodiment of the present invention considers that the battery to be tested has been completely scrapped. The first battery is a battery that can be used in other scenarios from a voltage perspective. The available voltage is the voltage that the battery to be tested can use. The second-life battery is a battery that can continue to be used in other scenarios.

[0079] It can be understood that the embodiment of the present invention screens the battery set to be tested by setting a voltage threshold, selects the first battery whose available voltage meets the preset voltage threshold requirement from the battery set to be tested, and skips the batteries that do not meet the cascade utilization requirements from the voltage aspect. The batteries that need to perform thermal cutting and disassembly operations in the embodiment of the present invention include batteries that do not meet the cascade utilization requirements from the voltage aspect.

[0080] S3. Perform a capacity detection operation on the first battery, and obtain a second battery after confirming that the extracted first battery is retained based on a preset capacity threshold.

[0081] Further, performing a capacity detection operation on the first battery, confirming based on a preset capacity threshold that the extracted first battery is retained, and obtaining the second battery includes:

[0082] Obtaining a rated capacity and a remaining capacity of the first battery, and obtaining a remaining capacity rate based on the rated capacity and the remaining capacity, wherein the remaining capacity rate is a percentage value of the remaining capacity to the rated capacity;

[0083] comparing the remaining capacity rate with a preset capacity rate threshold, and if the remaining capacity rate is greater than or equal to the capacity rate threshold, confirming that the first battery is the initial second battery, otherwise, skipping the first battery;

[0084] Performing a charging operation on the initial second battery, and after confirming that the initial second battery has been charged, detecting the capacity of the initial second battery before being placed in a static state;

[0085] Performing a rest process on the initial second battery based on a preset rest time, detecting the battery capacity of the initial second battery after the rest time, and obtaining the post-rest capacity of the initial second battery;

[0086] Calculating the capacity retention rate of the initial second battery based on the capacity before and after the standing still, wherein the capacity retention rate is a percentage value of the capacity after the standing still to the capacity before the standing still;

[0087] The capacity retention rate is compared with a preset retention rate threshold, and if the capacity retention rate is greater than or equal to the retention rate threshold, the initial second battery is retained and confirmed as the second battery, otherwise, the initial second battery is skipped.

[0088] It should be noted that the capacity of a retired battery is smaller than that of a brand new, unused battery. The remaining capacity is the capacity of the first battery that can still be used normally. When the remaining capacity rate is less than the capacity rate threshold, it means that the capacity of the first battery that can be used normally can no longer meet the requirements of cascade utilization in any other scenario.

[0089] It should also be noted that the capacity before standing is the capacity of the initial second battery after the initial second battery is fully charged, and the capacity after standing is the capacity of the initial second battery after the initial second battery has been standing for a period of time. The purpose is to detect the battery's ability to retain power. When the capacity retention rate is less than the retention rate threshold, it means that after the battery is fully charged and left to stand for a period of time, a large amount of internal power will be lost. If the battery is used for cascade utilization at this time, it will bring great hidden dangers. Therefore, the embodiment of the present invention believes that a battery with a capacity retention rate less than the retention rate threshold is completely scrapped.

[0090] It is understandable that the first battery is a battery that can be used in other scenarios from the perspective of voltage, and the initial second battery is a battery that not only meets the requirements of cascade utilization in terms of voltage, but also meets the requirements of cascade utilization in terms of residual capacity rate, that is, the initial second battery is a battery with an available voltage greater than or equal to the voltage threshold and a residual capacity rate greater than or equal to the capacity rate threshold, and the second battery is a battery with an available voltage greater than or equal to the voltage threshold, a residual capacity rate greater than or equal to the capacity rate threshold, and a capacity retention rate greater than or equal to the retention rate threshold. It should be noted that the embodiment of the present invention believes that only the second battery meets the requirements of cascade utilization, otherwise, it will affect the use effect of the battery in the cascade utilization process and bring safety hazards.

[0091] S4. All second batteries are removed from the battery set to be tested to obtain a battery set to be disassembled.

[0092] It should be noted that after all second batteries are removed from the battery set to be tested, the corresponding conditions of the remaining batteries meet any one of the following three conditions: the available voltage is less than the voltage threshold, the remaining capacity rate is less than the capacity rate threshold, or the capacity retention rate is less than the retention rate threshold. When a battery meets any one of the above three conditions, the embodiment of the present invention considers that the battery is completely scrapped, so the remaining batteries in the battery set to be tested after all second batteries are removed cannot be recycled. The embodiment of the present invention aims to disassemble batteries that cannot be recycled and realize the recycling of retired batteries from the material point of view. Therefore, the battery set to be disassembled is a collection of batteries remaining in the battery set to be tested after all second batteries are removed.

[0093] S5. Extracting batteries to be disassembled from the battery set to be disassembled in sequence, and performing the following operations on the extracted batteries to be disassembled: after confirming that the batteries to be disassembled are at the disassembly station, photographing the extracted batteries to be disassembled using a pre-built monitoring device to obtain a first polarity figure and a second polarity figure of the batteries to be disassembled, performing image processing operations on the first polarity figure and the second polarity figure to obtain a battery positive electrode image.

[0094] Furthermore, performing image processing operations on both the first pole figure and the second pole figure to obtain a positive electrode image of the battery includes:

[0095] Acquire multiple pixel coordinates of the first pole figure using a pre-constructed image coordinate system, extract pixel coordinates from the multiple pixel coordinates in sequence, perform a grayscale operation on the extracted pixel coordinates to obtain grayscale values ​​corresponding to the extracted pixel coordinates, and construct a grayscale image according to the grayscale values ​​corresponding to each pixel coordinate in the multiple pixel coordinates;

[0096] Performing an image segmentation operation on the grayscale image according to the grayscale image and a pre-constructed image segmentation method to obtain an electrode region and a background region, and performing a binarization operation on the electrode region and the background region to obtain a binarized image;

[0097] Based on the binarized image, obtain a first eigenvalue corresponding to the binarized image, wherein the first eigenvalue is the sum of the grayscale values ​​corresponding to each pixel in all pixels in the binarized image, and the first eigenvalue corresponds to the first pole figure;

[0098] Obtaining a second eigenvalue according to the second pole figure and the image coordinate system, wherein the second eigenvalue corresponds to the second pole figure;

[0099] Comparing the first eigenvalue with the second eigenvalue;

[0100] If the first eigenvalue is greater than the second eigenvalue, it is confirmed that the first pole figure corresponding to the first eigenvalue is the negative pole of the battery, and the second pole figure corresponding to the second eigenvalue is the positive pole of the battery;

[0101] If the first eigenvalue is less than the second eigenvalue, it is confirmed that the first pole figure corresponding to the first eigenvalue is the positive pole of the battery, and the second pole figure corresponding to the second eigenvalue is the negative pole of the battery;

[0102] A battery positive electrode image is acquired according to the battery positive electrode and the battery negative electrode.

[0103] It should be noted that the first pole diagram is a diagram of the electrode of the battery to be disassembled, which is photographed by a monitoring device facing the end face of the battery. The first pole diagram and the second pole diagram do not represent the positive pole diagram or the negative pole diagram of the battery. In the embodiment of the present invention, monitoring devices are set at both ends of the battery to be disassembled to perform photography, so there are the first pole diagram and the second pole diagram. As for whether the first pole diagram and the second pole diagram correspond to the positive electrode or the negative electrode of the battery, it needs to be identified in subsequent processing. It should also be noted that the second pole diagram is obtained in the same way as the first pole diagram, and can achieve the same effect, which will not be repeated here.

[0104] It is understandable that both the first pole figure and the second pole figure are RGB images, so in the embodiment of the present invention, the extracted pixel coordinates are subjected to a grayscale operation, wherein the grayscale operation is a prior art and will not be described in detail here. The grayscale image is an image obtained by grayscale the pixel values ​​corresponding to the pixel coordinates in the first pole figure. The electrode area is the image area corresponding to the electrode in the grayscale image, and the background area is the other area in the grayscale image except the area corresponding to the electrode.

[0105] It is understandable that after the first pole figure is binarized, the electrode area in the grayscale image is turned white and the background area is turned black in the embodiment of the present invention. The lithium battery in the embodiment of the present invention is a cylindrical lithium battery. Since the lithium battery area is wrapped by a battery shell, a part of the positive electrode area of ​​the lithium battery is wrapped by the battery shell when viewed from the end face of the cylindrical lithium battery. Therefore, the positive electrode area of ​​the battery is smaller than the negative electrode area of ​​the battery. Since the materials of the battery shell and the positive and negative electrodes of the battery are different, all parts except the positive and negative electrodes of the battery are classified as the background area. Therefore, from the image, the white area corresponding to the positive electrode of the battery is smaller than the negative electrode of the battery. Correspondingly, the white area in the binarized positive electrode image should be smaller than the white area in the binarized negative electrode image. Therefore, the embodiment of the present invention determines the positive and negative electrodes of the battery to be tested by comparing the first eigenvalue of the first pole figure with the second eigenvalue of the second pole figure.

[0106] Specifically, the electrode area and the background area are binarized to obtain a binarized image, including:

[0107] Extracting grayscale coordinates from the electrode region in sequence, and assigning a grayscale value corresponding to each extracted grayscale coordinate to 255, to obtain an electrode pixel;

[0108] Extracting grayscale coordinates from the background area in sequence, and assigning a grayscale value corresponding to each extracted grayscale coordinate to 0, to obtain background pixels;

[0109] Multiple electrode pixels and multiple background pixels are aggregated to obtain a binary image.

[0110] It should be noted that, as described in the previous embodiments, the white area in the binarized positive pole image is smaller than the white area in the binarized negative pole image, so the embodiment of the present invention can determine the positive and negative poles of the battery to be tested by comparing the first eigenvalue of the first pole figure with the second eigenvalue of the second pole figure. The second eigenvalue is the sum of the grayscale values ​​corresponding to each pixel in all the pixels in the binarized image corresponding to the second pole figure. In the embodiment of the present invention, the first pole figure and the second pole figure are processed in the same manner, so the second eigenvalue corresponding to the second pole figure is conceptually similar to the first eigenvalue corresponding to the first pole figure, and the acquisition method is the same, which will not be repeated here. Therefore, since the grayscale value corresponding to white is 255, the image with a larger white area corresponds to a larger eigenvalue, so the image corresponding to the larger eigenvalue of the first eigenvalue and the second eigenvalue corresponds to the negative pole of the battery. The positive pole image of the battery is an image taken by the monitoring device corresponding to the positive pole of the battery.

[0111] Furthermore, performing an image segmentation operation on the grayscale image according to the grayscale image and a pre-constructed image segmentation method to obtain an electrode area and a background area includes:

[0112] Extracting grayscale coordinates from the grayscale image in sequence, wherein the grayscale coordinates are pixel coordinates in the grayscale image, obtaining grayscale values ​​corresponding to the grayscale coordinates based on the extracted grayscale coordinates, obtaining grayscale value mean values ​​corresponding to the grayscale image according to the grayscale values, and obtaining an optimal global threshold according to the grayscale value mean value and a pre-constructed global threshold segmentation formula;

[0113] The grayscale values ​​are extracted from the grayscale image in sequence, and the following operations are performed on the extracted grayscale values:

[0114] Compare the extracted grayscale value with the optimal global threshold;

[0115] If the extracted grayscale value is greater than the optimal global threshold, the grayscale coordinates corresponding to the extracted grayscale value are confirmed to be pixel coordinates in the electrode area, and the initial electrode coordinates are obtained;

[0116] If the extracted grayscale value is less than or equal to the optimal global threshold, the grayscale coordinates corresponding to the extracted grayscale value are confirmed to be pixel coordinates in the background area, and the initial background coordinates are obtained;

[0117] The electrode region is acquired based on the multiple initial electrode coordinates, and the background region is acquired based on the multiple initial background coordinates.

[0118] Furthermore, the step of obtaining a grayscale value mean corresponding to the grayscale image according to the grayscale value, and obtaining an optimal global threshold according to the grayscale value mean and a pre-constructed global threshold segmentation formula includes:

[0119] The calculation formula of the gray value mean is:

[0120] u=u1w1+u2w2

[0121] Wherein, u represents the mean grayscale value, w1 represents the ratio of the number of grayscale coordinates corresponding to the background area in the grayscale image to the total number of pixels in the grayscale image, w2 represents the ratio of the number of grayscale coordinates corresponding to the electrode area in the grayscale image to the total number of pixels in the grayscale image, u1 represents the mean of all grayscale values ​​corresponding to the background area, and u2 represents the mean of all grayscale values ​​corresponding to the electrode area;

[0122] Among them, the global threshold segmentation formula is:

[0123] F max (T) = w1(u-u1) 2 +w2(u-u2) 2

[0124] Among them, T represents the optimal global threshold, F max (T) represents the maximum between-class variance.

[0125] It should be noted that the optimal global threshold is the optimal threshold for segmenting and binarizing the grayscale image. The initial electrode coordinates are the grayscale coordinates when the pixels corresponding to the extracted grayscale coordinates are initially considered to be the electrode area, and the initial background coordinates are the grayscale coordinates when the pixels corresponding to the extracted grayscale coordinates are initially considered to be the background area.

[0126] S6. Determine whether the extracted battery to be disassembled is on a preset workbench based on the battery positive electrode image.

[0127] Further, judging whether the extracted battery to be disassembled is on a preset workbench based on the battery positive electrode image includes:

[0128] Based on the positive electrode image of the battery, a camera device corresponding to the positive electrode of the battery is identified; based on the camera device, a device coordinate of the camera device in a pre-constructed geodetic coordinate system is obtained; based on the device coordinate and the preset positive electrode device coordinate, whether the positive electrode of the battery is located at a preset workbench is determined, wherein the workbench includes a positive electrode workbench and a negative electrode workbench;

[0129] If the device coordinates are consistent with the positive electrode device coordinates, after confirming that the positive electrode of the battery is on the positive electrode workbench, confirm that the battery to be disassembled is on a preset workbench;

[0130] If the device coordinates are inconsistent with the preset positive electrode device coordinates, after confirming that the positive electrode of the battery is on the negative electrode workbench, the battery to be disassembled is rotated by using a pre-built rotating mechanism to obtain a rotated battery;

[0131] A camera device is provided to obtain the positive electrode of the battery corresponding to the rotated battery based on the rotated battery, and the step of obtaining the device coordinates of the camera device in a pre-constructed geodetic coordinate system based on the camera device is returned until it is confirmed that the battery to be disassembled is on a preset workbench.

[0132] It should be noted that the camera device is a camera device corresponding to the positive pole of the battery based on the battery. After the battery positive pole image is identified, the monitoring device from which the battery positive pole image comes is the camera device. The device coordinates are the coordinates of the camera device in the pre-constructed geodetic coordinate system, and the positive pole device coordinates are the coordinates of the position where the positive pole of the battery should be set. The embodiment of the present invention determines whether the positive and negative poles of the battery to be disassembled are placed incorrectly by comparing the device coordinates of the camera device corresponding to the positive pole of the battery in actual circumstances with the preset positive pole device coordinates. If the device coordinates are consistent with the positive pole device coordinates, it means that the positive pole of the battery photographed by the camera device is located at the preset position of the positive pole of the battery, and the battery to be disassembled is placed correctly.

[0133] It can be understood that the positive electrode workbench is a workbench preset for performing thermal cutting operations on the positive electrode of the battery, and the negative electrode workbench is a workbench preset for performing thermal cutting operations on the negative electrode of the battery. The rotating mechanism is a mechanism that can rotate the battery to be disassembled and thus exchange the positive and negative electrodes of the battery. The rotated battery is the battery to be disassembled after the rotating mechanism rotates the battery to be disassembled.

[0134] Furthermore, after the embodiment of the present invention uses a rotating device to rotate the battery to be disassembled, it will perform another detection on whether the battery electrode is on the positive electrode workbench until the positive electrode of the battery under the actual working condition is located at the position corresponding to the positive electrode of the battery under the preset working condition. The purpose is to ensure that the battery to be disassembled can be correctly placed on the preset workbench.

[0135] S7. After confirming that the extracted battery to be disassembled is on the workbench, a cutting operation is performed on the battery to be disassembled based on a pre-built laser generator to obtain a cut positive electrode material, a cut negative electrode material and a shelled battery cell, and a cutting process of the extracted battery to be disassembled is completed based on the cut positive electrode material, the cut negative electrode material and the shelled battery cell.

[0136] Furthermore, the pre-built laser generator is used to perform a cutting operation on the battery to be disassembled to obtain a cut positive electrode material, a cut negative electrode material and a shelled battery cell, including:

[0137] Identify the positive electrode material based on the battery to be disassembled, and obtain the pulse power range corresponding to the positive electrode material based on the positive electrode material;

[0138] Based on the laser generator, a pulse power density corresponding to the laser generator is obtained. After confirming that the pulse powers are all within the pulse power range based on the pulse power density, the laser generator is enabled, and the laser generator is used to perform a cutting operation on the positive electrode of the battery to obtain a cut positive electrode material, wherein the cut positive electrode material is a material obtained after cutting the positive electrode of the battery;

[0139] After the negative electrode material is confirmed based on the battery to be disassembled, the cut negative electrode material is obtained based on the negative electrode material, and the shelled battery cell is obtained according to the cut negative electrode material to complete the cutting of the negative electrode of the battery to be disassembled.

[0140] It should be noted that the laser generator is an instrument used to perform thermal cutting on the positive and negative electrodes of the battery to be disassembled. This technology is laser cutting in thermal cutting, which is a prior art and will not be described in detail here.

[0141] It is understandable that when using a laser generator to cut a battery to be disassembled, if the laser energy is too large, too much heat will be transferred to the shelled battery cell and other parts, causing the remaining materials to be destroyed. If the laser energy is too small, it will be difficult to achieve the cutting function, resulting in incomplete cutting of the battery. Therefore, it is necessary to detect and limit the pulse power of the laser generator.

[0142] It should be noted that, since different powers are required when using laser to cut different materials, it is necessary to determine the pulse power interval based on the material. The positive electrode material is the material of the positive electrode of the battery. The embodiment of the present invention does not limit the method of identifying the positive electrode material. This is because there are many existing technologies that can be achieved, and it will not be repeated here. Correspondingly, the negative electrode material is the material of the negative electrode of the battery, which will not be repeated. The pulse power interval is the most suitable interval for the pulse power of the laser generator. When the pulse power of the laser generator is within the pulse power interval, the laser generator can achieve the function of laser cutting without destroying the battery material to be disassembled. Pulse power density refers to the distribution of laser power per unit area, which can be used to describe the light intensity distribution of the laser in space. The embodiment of the present invention pre-detects the laser generator before cutting, so that when the laser generator is cutting the positive electrode or negative electrode of the battery, it can adjust the power according to the material of the positive electrode of the battery and the material of the negative electrode of the battery, so as to achieve complete cutting without generating too much heat to damage the remaining materials. The cut negative electrode material is the material obtained after cutting the negative electrode of the battery, and the shelled battery cell is all the materials of the lithium battery except the cut positive electrode material and the cut negative electrode material.

[0143] S8. After confirming that all the batteries to be disassembled in the battery set have completed the cutting process, the thermal cutting process for the retired power lithium battery recycling and cascade utilization is completed.

[0144] It can be understood that the battery set to be disassembled includes multiple batteries to be disassembled. After the cutting of all the batteries to be disassembled is completed, the cutting of a batch of retired batteries in the embodiment of the present invention is completed.

[0145] The present invention is to solve the problem described in the background technology. The present invention performs a voltage detection operation on the extracted battery to be tested, confirms to retain the extracted battery to be tested based on a preset voltage threshold, and obtains a first battery. The present invention performs a capacity detection operation on the first battery, confirms to retain the extracted first battery based on a preset capacity threshold, and obtains a second battery. All second batteries are removed from the battery set to be tested to obtain a battery set to be disassembled. In an embodiment of the present invention, the remaining batteries in the battery set to be tested after all second batteries are removed cannot be recycled. These batteries are disassembled to achieve recycled use of retired batteries from a material perspective. Batteries to be disassembled are extracted from the battery set to be disassembled in sequence, and the following operations are performed on the extracted batteries to be disassembled: after confirming that the batteries to be disassembled are at the disassembly station, the extracted batteries to be disassembled are photographed using a pre-built monitoring device to obtain a first pole figure and a second pole figure of the batteries to be disassembled, image processing operations are performed on the first pole figure and the second pole figure to obtain a battery positive electrode image, and based on the battery positive electrode image, it is determined whether the extracted batteries to be disassembled are at a preset workbench. In an embodiment of the present invention, the positive and negative poles of the battery to be tested are determined by comparing the first eigenvalue of the first pole figure with the second eigenvalue of the second pole figure, and whether the positive and negative poles of the battery to be disassembled are placed incorrectly is determined by comparing the device coordinates of the camera device corresponding to the positive pole of the battery in an actual situation with the preset positive pole device coordinates. After confirming that the extracted battery to be disassembled is on the workbench, a cutting operation is performed on the battery to be disassembled based on a pre-built laser generator to obtain the cut positive electrode material, the cut negative electrode material and the shelled battery cell, and the cutting process of the extracted battery to be disassembled is completed based on the cut positive electrode material, the cut negative electrode material and the shelled battery cell, and after confirming that all the batteries to be disassembled in the battery set to be disassembled have completed the cutting process, the thermal cutting process of the retired power lithium battery for recycling and cascade utilization is completed. The embodiment of the present invention ensures that the laser generator can realize the function of laser cutting without damaging the battery material to be disassembled by setting the pulse power interval. Therefore, the present invention completes the thermal cutting optimization based on the cascade utilization of materials of retired batteries after screening the batteries for cascade utilization and accurately identifying and correcting the positive and negative electrodes of the batteries.

[0146] like Figure 2 The figure shows a functional module diagram of a thermal cutting processing system based on recycling and cascading utilization of retired power lithium batteries provided by an embodiment of the present invention.

[0147] According to the functions to be implemented, the thermal cutting processing equipment 100 based on the recycling of retired power lithium batteries can include a battery set acquisition module 101 to be disassembled, a battery positive and negative pole judgment module 102, a battery thermal cutting module 103 and a thermal cutting confirmation module 104. The module described in the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0148] The battery set acquisition module 101 to be disassembled is used to acquire a battery set to be tested, extract batteries to be tested from the battery set to be tested in sequence, and perform the following operations on the extracted batteries to be tested: perform a voltage detection operation on the extracted batteries to be tested, confirm to retain the extracted batteries to be tested based on a preset voltage threshold, and obtain a first battery; perform a capacity detection operation on the first battery, confirm to retain the extracted first battery based on a preset capacity threshold, and obtain a second battery; remove all second batteries from the battery set to be tested, and obtain a battery set to be disassembled;

[0149] The battery positive and negative pole judgment module 102 is used to sequentially extract batteries to be disassembled from the battery set to be disassembled, and perform the following operations on the extracted batteries to be disassembled: after confirming that the battery to be disassembled is at the disassembly station, use a pre-constructed monitoring device to shoot the extracted battery to be disassembled to obtain a first pole figure and a second pole figure of the battery to be disassembled, perform image processing operations on the first pole figure and the second pole figure to obtain a battery positive pole image, and judge whether the extracted battery to be disassembled is at a preset workbench based on the battery positive pole image, wherein the image processing operations on the first pole figure and the second pole figure to obtain the battery positive pole image include: using a pre-constructed image coordinate system to obtain multiple pixel coordinates of the first pole figure, and from the multiple pixel coordinates Extract pixel coordinates in sequence, and perform grayscale operation on the extracted pixel coordinates to obtain grayscale values ​​corresponding to the extracted pixel coordinates, construct a grayscale image according to the grayscale values ​​corresponding to each pixel coordinate in the plurality of pixel coordinates, perform image segmentation operation on the grayscale image according to the grayscale image and a pre-constructed image segmentation method to obtain an electrode area and a background area, perform binarization operation on the electrode area and the background area to obtain a binarized image, obtain a first eigenvalue corresponding to the binarized image based on the binarized image, wherein the first eigenvalue is the sum of the grayscale values ​​corresponding to each pixel in all pixels in the binarized image, the first eigenvalue corresponds to the first pole figure, obtain a second eigenvalue according to the second pole figure and the image coordinate system, wherein the second eigenvalue corresponds to the second pole figure Correspondingly, compare the first eigenvalue and the second eigenvalue, if the first eigenvalue is greater than the second eigenvalue, then confirm that the first pole figure corresponding to the first eigenvalue is the negative pole of the battery, and the second pole figure corresponding to the second eigenvalue is the positive pole of the battery, if the first eigenvalue is less than the second eigenvalue, then confirm that the first pole figure corresponding to the first eigenvalue is the positive pole of the battery, and the second pole figure corresponding to the second eigenvalue is the negative pole of the battery, and obtain the positive pole image of the battery according to the positive pole and the negative pole of the battery, wherein the judging based on the positive pole image of the battery whether the extracted battery to be disassembled is on a preset workbench includes: confirming the camera device corresponding to the positive pole of the battery based on the positive pole image of the battery, obtaining the device coordinates of the camera device in a pre-constructed geodetic coordinate system based on the camera device, and obtaining the device coordinates based on the device coordinates and The preset positive electrode device coordinates are used to determine whether the positive electrode of the battery is on a preset workbench, wherein the workbench includes a positive electrode workbench and a negative electrode workbench. If the device coordinates are consistent with the positive electrode device coordinates, then after confirming that the positive electrode of the battery is on the positive electrode workbench, confirm that the battery to be disassembled is on the preset workbench. If the device coordinates are inconsistent with the preset positive electrode device coordinates, then after confirming that the positive electrode of the battery is on the negative electrode workbench, the battery to be disassembled is rotated using a pre-constructed rotating mechanism to obtain a rotated battery, and based on the rotated battery, a camera device of the positive electrode of the battery corresponding to the rotated battery is obtained, and the step of obtaining the device coordinates of the camera device in the pre-constructed geodetic coordinate system based on the camera device is returned to until it is confirmed that the battery to be disassembled is on the preset workbench.

[0150] The battery thermal cutting module 103 is used to confirm that the extracted battery to be disassembled is on the workbench, and then perform a cutting operation on the battery to be disassembled based on a pre-built laser generator to obtain a cut positive electrode material, a cut negative electrode material and a shelled battery cell, and complete the cutting process of the extracted battery to be disassembled based on the cut positive electrode material, the cut negative electrode material and the shelled battery cell;

[0151] The thermal cutting confirmation module 104 is used to confirm that all the batteries to be disassembled in the battery set to be disassembled have completed the cutting process, and then complete the thermal cutting process for the retired power lithium battery recycling and cascade utilization.

[0152] In detail, the modules in the thermal cutting processing system 100 for recycling and cascading utilization of power lithium battery in the embodiment of the present invention are used in the same manner as above. Figure 1 The technical means described in the thermal cutting treatment method for recycling and cascading utilization of retired power lithium batteries are the same and can produce the same technical effects, so they will not be repeated here.

[0153] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0154] Obtain a battery set to be tested, extract batteries to be tested from the battery set in sequence, and perform the following operations on the extracted batteries to be tested:

[0155] Performing a voltage detection operation on the extracted battery to be tested, and obtaining a first battery after confirming that the extracted battery to be tested is retained based on a preset voltage threshold;

[0156] Performing a capacity detection operation on the first battery, and obtaining a second battery after confirming that the extracted first battery is retained based on a preset capacity threshold;

[0157] All second batteries are removed from the battery set to be tested to obtain a battery set to be disassembled, batteries to be disassembled are extracted from the battery set to be disassembled in sequence, and the following operations are performed on the extracted batteries to be disassembled:

[0158] After confirming that the battery to be disassembled is at the disassembly station, the extracted battery to be disassembled is photographed using a pre-built monitoring device to obtain a first polarity graph and a second polarity graph of the battery to be disassembled, image processing operations are performed on both the first polarity graph and the second polarity graph to obtain a battery positive electrode image, and based on the battery positive electrode image, it is determined whether the extracted battery to be disassembled is at a preset workbench;

[0159] The performing of image processing operations on both the first pole figure and the second pole figure to obtain a positive electrode image of the battery includes:

[0160] Acquire multiple pixel coordinates of the first pole figure using a pre-constructed image coordinate system, extract pixel coordinates from the multiple pixel coordinates in sequence, perform a grayscale operation on the extracted pixel coordinates to obtain grayscale values ​​corresponding to the extracted pixel coordinates, and construct a grayscale image according to the grayscale values ​​corresponding to each pixel coordinate in the multiple pixel coordinates;

[0161] Performing an image segmentation operation on the grayscale image according to the grayscale image and a pre-constructed image segmentation method to obtain an electrode region and a background region, and performing a binarization operation on the electrode region and the background region to obtain a binarized image;

[0162] Based on the binarized image, obtain a first eigenvalue corresponding to the binarized image, wherein the first eigenvalue is the sum of the grayscale values ​​corresponding to each pixel in all pixels in the binarized image, and the first eigenvalue corresponds to the first pole figure;

[0163] Obtaining a second eigenvalue according to the second pole figure and the image coordinate system, wherein the second eigenvalue corresponds to the second pole figure;

[0164] Comparing the first eigenvalue with the second eigenvalue;

[0165] If the first eigenvalue is greater than the second eigenvalue, it is confirmed that the first pole figure corresponding to the first eigenvalue is the negative pole of the battery, and the second pole figure corresponding to the second eigenvalue is the positive pole of the battery;

[0166] If the first eigenvalue is less than the second eigenvalue, it is confirmed that the first pole figure corresponding to the first eigenvalue is the positive pole of the battery, and the second pole figure corresponding to the second eigenvalue is the negative pole of the battery;

[0167] Acquire a positive electrode image of the battery according to the positive electrode of the battery and the negative electrode of the battery;

[0168] Wherein, judging whether the extracted battery to be disassembled is on a preset workbench based on the battery positive electrode image includes:

[0169] Based on the positive electrode image of the battery, a camera device corresponding to the positive electrode of the battery is identified; based on the camera device, a device coordinate of the camera device in a pre-constructed geodetic coordinate system is obtained; based on the device coordinate and the preset positive electrode device coordinate, whether the positive electrode of the battery is located at a preset workbench is determined, wherein the workbench includes a positive electrode workbench and a negative electrode workbench;

[0170] If the device coordinates are consistent with the positive electrode device coordinates, after confirming that the positive electrode of the battery is on the positive electrode workbench, confirm that the battery to be disassembled is on a preset workbench;

[0171] If the device coordinates are inconsistent with the preset positive electrode device coordinates, after confirming that the positive electrode of the battery is on the negative electrode workbench, the battery to be disassembled is rotated by using a pre-built rotating mechanism to obtain a rotated battery;

[0172] Obtaining a camera device of a battery positive electrode corresponding to the rotated battery based on the rotated battery, and returning to the step of obtaining device coordinates of the camera device in a pre-constructed geodetic coordinate system based on the camera device until it is confirmed that the battery to be disassembled is on a preset workbench;

[0173] After confirming that the extracted battery to be disassembled is on the workbench, a cutting operation is performed on the battery to be disassembled based on a pre-built laser generator to obtain a cut positive electrode material, a cut negative electrode material and a shelled battery cell, and a cutting process of the extracted battery to be disassembled is completed based on the cut positive electrode material, the cut negative electrode material and the shelled battery cell;

[0174] After confirming that all the batteries to be disassembled in the battery set have completed the cutting process, the thermal cutting process for the retired power lithium battery recycling and cascade utilization is completed.

[0175] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0176] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0177] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0178] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0179] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the system claim can also be implemented by one unit or device through software or hardware. The second and other words are used to indicate names, but not to indicate any particular order.

[0180] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A thermal cutting treatment method based on the recycling of retired power lithium batteries, characterized in that: The method comprises: Obtain a battery set to be tested, extract batteries to be tested from the battery set in sequence, and perform the following operations on the extracted batteries to be tested: Performing a voltage detection operation on the extracted battery to be tested, and obtaining a first battery after confirming that the extracted battery to be tested is retained based on a preset voltage threshold; Performing a capacity detection operation on the first battery, and obtaining a second battery after confirming that the extracted first battery is retained based on a preset capacity threshold; All second batteries are removed from the battery set to be tested to obtain a battery set to be disassembled, batteries to be disassembled are extracted from the battery set to be disassembled in sequence, and the following operations are performed on the extracted batteries to be disassembled: After confirming that the battery to be disassembled is at the disassembly station, the extracted battery to be disassembled is photographed using a pre-built monitoring device to obtain a first polarity graph and a second polarity graph of the battery to be disassembled, image processing operations are performed on both the first polarity graph and the second polarity graph to obtain a battery positive electrode image, and based on the battery positive electrode image, it is determined whether the extracted battery to be disassembled is at a preset workbench; The performing of image processing operations on both the first pole figure and the second pole figure to obtain a positive electrode image of the battery includes: Acquire multiple pixel coordinates of the first pole figure using a pre-constructed image coordinate system, extract pixel coordinates from the multiple pixel coordinates in sequence, perform a grayscale operation on the extracted pixel coordinates to obtain grayscale values ​​corresponding to the extracted pixel coordinates, and construct a grayscale image according to the grayscale values ​​corresponding to each pixel coordinate in the multiple pixel coordinates; Performing an image segmentation operation on the grayscale image according to the grayscale image and a pre-constructed image segmentation method to obtain an electrode region and a background region, and performing a binarization operation on the electrode region and the background region to obtain a binarized image; Based on the binarized image, obtain a first eigenvalue corresponding to the binarized image, wherein the first eigenvalue is the sum of the grayscale values ​​corresponding to each pixel in all pixels in the binarized image, and the first eigenvalue corresponds to the first pole figure; Obtaining a second eigenvalue according to the second pole figure and the image coordinate system, wherein the second eigenvalue corresponds to the second pole figure; Comparing the first eigenvalue with the second eigenvalue; If the first eigenvalue is greater than the second eigenvalue, it is confirmed that the first pole figure corresponding to the first eigenvalue is the negative pole of the battery, and the second pole figure corresponding to the second eigenvalue is the positive pole of the battery; If the first eigenvalue is less than the second eigenvalue, it is confirmed that the first pole figure corresponding to the first eigenvalue is the positive pole of the battery, and the second pole figure corresponding to the second eigenvalue is the negative pole of the battery; Acquire a positive electrode image of the battery according to the positive electrode of the battery and the negative electrode of the battery; Wherein, judging whether the extracted battery to be disassembled is on a preset workbench based on the battery positive electrode image includes: Based on the positive electrode image of the battery, a camera device corresponding to the positive electrode of the battery is identified; based on the camera device, a device coordinate of the camera device in a pre-constructed geodetic coordinate system is obtained; based on the device coordinate and the preset positive electrode device coordinate, whether the positive electrode of the battery is located at a preset workbench is determined, wherein the workbench includes a positive electrode workbench and a negative electrode workbench; If the device coordinates are consistent with the positive electrode device coordinates, after confirming that the positive electrode of the battery is on the positive electrode workbench, confirm that the battery to be disassembled is on a preset workbench; If the device coordinates are inconsistent with the preset positive electrode device coordinates, after confirming that the positive electrode of the battery is on the negative electrode workbench, the battery to be disassembled is rotated by using a pre-built rotating mechanism to obtain a rotated battery; Obtaining a camera device of a battery positive electrode corresponding to the rotated battery based on the rotated battery, and returning to the step of obtaining device coordinates of the camera device in a pre-constructed geodetic coordinate system based on the camera device until it is confirmed that the battery to be disassembled is on a preset workbench; After confirming that the extracted battery to be disassembled is on the workbench, a cutting operation is performed on the battery to be disassembled based on a pre-built laser generator to obtain a cut positive electrode material, a cut negative electrode material and a shelled battery cell, and a cutting process of the extracted battery to be disassembled is completed based on the cut positive electrode material, the cut negative electrode material and the shelled battery cell; After confirming that all the batteries to be disassembled in the battery set have completed the cutting process, the thermal cutting process for the retired power lithium battery recycling and cascade utilization is completed.

2. The thermal cutting treatment method based on the recycling and cascade utilization of retired power lithium batteries according to claim 1 is characterized in that: The step of performing a voltage detection operation on the extracted battery to be tested and obtaining a first battery after confirming that the extracted battery to be tested is retained based on a preset voltage threshold comprises: Obtaining an available voltage of the battery to be tested based on the battery to be tested, and comparing the available voltage with a voltage threshold; If the available voltage is greater than or equal to the voltage threshold, the extracted battery to be tested is retained and it is confirmed that the extracted battery to be tested is the first battery; otherwise, the extracted battery to be tested is skipped.

3. The thermal cutting treatment method based on the recycling and cascade utilization of retired power lithium batteries according to claim 1 is characterized in that: The method of performing a capacity detection operation on the first battery and obtaining a second battery after confirming to retain the extracted first battery based on a preset capacity threshold value comprises: Obtaining a rated capacity and a remaining capacity of the first battery, and obtaining a remaining capacity rate based on the rated capacity and the remaining capacity, wherein the remaining capacity rate is a percentage value of the remaining capacity to the rated capacity; comparing the remaining capacity rate with a preset capacity rate threshold, and if the remaining capacity rate is greater than or equal to the capacity rate threshold, confirming that the first battery is the initial second battery, otherwise, skipping the first battery; Performing a charging operation on the initial second battery, and after confirming that the initial second battery has been fully charged, detecting the capacity of the initial second battery before being placed in a static state; Performing a rest process on the initial second battery based on a preset rest time, detecting the battery capacity of the initial second battery after the rest time, and obtaining the post-rest capacity of the initial second battery; Calculating the capacity retention rate of the initial second battery based on the capacity before standing still and the capacity after standing still, wherein the capacity retention rate is a percentage value of the capacity after standing still to the capacity before standing still; The capacity retention rate is compared with a preset retention rate threshold, and if the capacity retention rate is greater than or equal to the retention rate threshold, the initial second battery is retained and confirmed as the second battery, otherwise, the initial second battery is skipped.

4. The thermal cutting treatment method based on the recycling and cascade utilization of retired power lithium batteries according to claim 3 is characterized in that: The performing of an image segmentation operation on the grayscale image according to the grayscale image and the pre-constructed image segmentation method to obtain an electrode area and a background area includes: Extracting grayscale coordinates from the grayscale image in sequence, wherein the grayscale coordinates are pixel coordinates in the grayscale image, obtaining grayscale values ​​corresponding to the grayscale coordinates based on the extracted grayscale coordinates, obtaining grayscale value mean values ​​corresponding to the grayscale image according to the grayscale values, and obtaining an optimal global threshold according to the grayscale value mean value and a pre-constructed global threshold segmentation formula; The grayscale values ​​are extracted from the grayscale image in sequence, and the following operations are performed on the extracted grayscale values: Compare the extracted grayscale value with the optimal global threshold; If the extracted grayscale value is greater than the optimal global threshold, the grayscale coordinates corresponding to the extracted grayscale value are confirmed to be pixel coordinates in the electrode area, and the initial electrode coordinates are obtained; If the extracted grayscale value is less than or equal to the optimal global threshold, the grayscale coordinates corresponding to the extracted grayscale value are confirmed to be pixel coordinates in the background area, and the initial background coordinates are obtained; The electrode region is acquired based on the multiple initial electrode coordinates, and the background region is acquired based on the multiple initial background coordinates.

5. The thermal cutting treatment method based on the recycling and cascade utilization of retired power lithium batteries according to claim 4 is characterized in that: The grayscale value mean corresponding to the grayscale image is obtained according to the grayscale value, and the optimal global threshold is obtained according to the grayscale value mean and a pre-constructed global threshold segmentation formula. include: The calculation formula for the gray value mean is: u=u1w1+u2w2 Wherein, u represents the mean grayscale value, w1 represents the ratio of the number of grayscale coordinates corresponding to the background area in the grayscale image to the total number of pixels in the grayscale image, w2 represents the ratio of the number of grayscale coordinates corresponding to the electrode area in the grayscale image to the total number of pixels in the grayscale image, u1 represents the mean of all grayscale values ​​corresponding to the background area, and u2 represents the mean of all grayscale values ​​corresponding to the electrode area; Among them, the global threshold segmentation formula is: F max (T)=w1(u-u1) 2 +w2(u-u2) 2 Among them, T represents the optimal global threshold, F max (T) represents the maximum between-class variance.

6. The thermal cutting treatment method based on the recycling and cascade utilization of retired power lithium batteries according to claim 5 is characterized in that: The binarization operation is performed on the electrode area and the background area to obtain a binarized image, including: Extracting grayscale coordinates from the electrode region in sequence, and assigning a grayscale value corresponding to each extracted grayscale coordinate to 255, to obtain an electrode pixel; Extracting grayscale coordinates from the background area in sequence, and assigning a grayscale value corresponding to each extracted grayscale coordinate to 0, to obtain background pixels; Multiple electrode pixels and multiple background pixels are aggregated to obtain a binary image.

7. The thermal cutting treatment method based on the recycling and cascade utilization of retired power lithium batteries according to claim 1 is characterized in that: The pre-built laser generator performs a cutting operation on the battery to be disassembled to obtain a cut positive electrode material, a cut negative electrode material and a shelled battery cell, including: Identify the positive electrode material based on the battery to be disassembled, and obtain the pulse power range corresponding to the positive electrode material based on the positive electrode material; Based on the laser generator, a pulse power density corresponding to the laser generator is obtained. After confirming that the pulse powers are all within the pulse power range based on the pulse power density, the laser generator is enabled, and the laser generator is used to perform a cutting operation on the positive electrode of the battery to obtain a cut positive electrode material, wherein the cut positive electrode material is a material obtained after cutting the positive electrode of the battery; After the negative electrode material is confirmed based on the battery to be disassembled, the cut negative electrode material is obtained based on the negative electrode material, and the shelled battery cell is obtained according to the cut negative electrode material to complete the cutting of the negative electrode of the battery to be disassembled.

8. A thermal cutting processing equipment based on the recycling of retired power lithium batteries, characterized in that: The device comprises: The module for obtaining a battery set to be disassembled is used to obtain a battery set to be tested, extract batteries to be tested from the battery set to be tested in sequence, and perform the following operations on the extracted batteries to be tested: perform a voltage detection operation on the extracted batteries to be tested, and obtain a first battery after confirming that the extracted batteries to be tested are retained based on a preset voltage threshold, perform a capacity detection operation on the first battery, and obtain a second battery after confirming that the extracted first battery is retained based on a preset capacity threshold, and remove all second batteries from the battery set to be tested to obtain a battery set to be disassembled; The battery positive and negative pole judgment module is used to sequentially extract batteries to be disassembled from the battery set to be disassembled, and perform the following operations on the extracted batteries to be disassembled: after confirming that the battery to be disassembled is at the disassembly station, use a pre-built monitoring device to shoot the extracted battery to be disassembled to obtain a first pole figure and a second pole figure of the battery to be disassembled, perform image processing operations on the first pole figure and the second pole figure to obtain a battery positive pole image, and judge whether the extracted battery to be disassembled is at a preset workbench based on the battery positive pole image, wherein the image processing operations on the first pole figure and the second pole figure to obtain the battery positive pole image include: using a pre-built image coordinate system to obtain a plurality of pixel coordinates of the first pole figure, sequentially extracting a plurality of pixel coordinates from the plurality of pixel coordinates; Take pixel coordinates, and perform grayscale operation on the extracted pixel coordinates to obtain grayscale values ​​corresponding to the extracted pixel coordinates, construct a grayscale image according to the grayscale values ​​corresponding to each pixel coordinate in the plurality of pixel coordinates, perform image segmentation operation on the grayscale image according to the grayscale image and a pre-constructed image segmentation method to obtain an electrode area and a background area, perform binarization operation on the electrode area and the background area to obtain a binarized image, obtain a first eigenvalue corresponding to the binarized image based on the binarized image, wherein the first eigenvalue is the sum of the grayscale values ​​corresponding to each pixel in all pixels in the binarized image, and the first eigenvalue corresponds to a first pole figure, obtain a second eigenvalue according to the second pole figure and the image coordinate system, wherein the second eigenvalue corresponds to the second pole figure , compare the first eigenvalue with the second eigenvalue, if the first eigenvalue is greater than the second eigenvalue, then confirm that the first pole figure corresponding to the first eigenvalue is the negative pole of the battery, and the second pole figure corresponding to the second eigenvalue is the positive pole of the battery, if the first eigenvalue is less than the second eigenvalue, then confirm that the first pole figure corresponding to the first eigenvalue is the positive pole of the battery, and the second pole figure corresponding to the second eigenvalue is the negative pole of the battery, and obtain the positive pole image of the battery according to the positive pole and the negative pole of the battery, wherein the judging based on the positive pole image of the battery whether the extracted battery to be disassembled is on a preset workbench includes: confirming the camera device corresponding to the positive pole of the battery based on the positive pole image of the battery, obtaining the device coordinates of the camera device in a pre-constructed geodetic coordinate system based on the camera device, and obtaining the device coordinates based on the device coordinates and the pre-constructed geodetic coordinate system. The positive electrode device coordinates set are used to determine whether the positive electrode of the battery is on a preset workbench, wherein the workbench includes a positive electrode workbench and a negative electrode workbench. If the device coordinates are consistent with the positive electrode device coordinates, then after confirming that the positive electrode of the battery is on the positive electrode workbench, confirm that the battery to be disassembled is on the preset workbench. If the device coordinates are inconsistent with the preset positive electrode device coordinates, then after confirming that the positive electrode of the battery is on the negative electrode workbench, the battery to be disassembled is rotated using a pre-constructed rotating mechanism to obtain a rotated battery, and based on the rotated battery, a camera device of the positive electrode of the battery corresponding to the rotated battery is obtained, and the step of obtaining the device coordinates of the camera device in the pre-constructed geodetic coordinate system based on the camera device is returned to until it is confirmed that the battery to be disassembled is on the preset workbench; A battery thermal cutting module, which is used to confirm that the extracted battery to be disassembled is on the workbench, and then perform a cutting operation on the battery to be disassembled based on a pre-built laser generator to obtain a cut positive electrode material, a cut negative electrode material and a shelled battery cell, and complete the cutting process of the extracted battery to be disassembled based on the cut positive electrode material, the cut negative electrode material and the shelled battery cell; The thermal cutting confirmation module is used to confirm that all the batteries to be disassembled in the battery set to be disassembled have completed the cutting process, and then complete the thermal cutting process for the retired power lithium battery recycling and cascade utilization.

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