A battery tab quality detection system, method, device and storage medium

Abstract

The application provides a battery tab quality detection system, method, device and storage medium, wherein a signal acquisition module is configured to acquire at least one signal intensity value by collecting the ultrasonic wave intensity of at least one scanning point on a battery tab to be detected; a heat map generation module is configured to generate a to-be-detected heat map for describing the welding quality of the battery tab to be detected according to the at least one signal intensity value; an image comparison module is configured to compare the to-be-detected heat map with a standard heat map to obtain an image comparison result; and a result determination module is configured to determine the quality of the battery tab to be detected according to the image comparison result. The above system can improve the accuracy of battery tab quality detection and reduce the required labor cost.

Description

Technical Field

[0001] The present invention relates to the field of equipment detection technology, and in particular to a battery tab quality detection system, method, equipment and storage medium. Background Art

[0002] Today's rapid social development has led to the massive exploitation of traditional energy sources such as oil, coal, and natural gas. Since these resources are non-renewable, clean, environmentally friendly, and efficient energy conversion and storage systems, such as new-generation lithium-ion batteries and fuel cells, have become highly sought-after solutions to the environmental and energy challenges facing modern civilization. With the increasing use of batteries in products such as laptops, camcorders, digital cameras, mobile phones, and power tools, their safety performance has also attracted considerable attention. Therefore, battery manufacturing and inspection processes must be rigorous, and the quality of battery tabs is a key indicator of battery safety. Therefore, testing the quality of battery tabs during the manufacturing process is crucial.

[0003] At present, the existing battery tab quality inspection is mainly carried out by relevant personnel using human visual observation and experience to determine the quality of the battery tab to obtain the judgment result of the battery tab quality. However, the battery tab quality inspection using the above method may result in low accuracy of the inspection result due to errors in human visual observation or lack of experience. At the same time, since the entire inspection process is completed manually, it requires a lot of manpower costs. Summary of the Invention

[0004] In view of this, an object of the present invention is to provide a battery tab quality detection system, method, device and storage medium to improve the accuracy of battery tab quality detection and reduce the required manpower cost.

[0005] In a first aspect, an embodiment of the present application provides a battery tab quality detection system, the system comprising a signal acquisition module, a thermal map generation module, an image comparison module, and a result determination module;

[0006] The signal acquisition module is configured to acquire the ultrasonic intensity passing through at least one scanning point on the battery tab to be detected to obtain at least one signal strength value, wherein each scanning point in the at least one scanning point corresponds to a signal strength value in the at least one signal strength value, and the signal acquisition module includes an ultrasonic battery cell detector;

[0007] The thermogram generating module is configured to generate a thermogram to be detected for describing the welding quality of the battery tab to be detected according to the at least one signal strength value;

[0008] The image comparison module is used to compare the thermal map to be tested with a standard thermal map to obtain an image comparison result, wherein the standard thermal map is a thermal map of a battery cell imaging that is used to describe that the welding quality of the battery cell is OK;

[0009] The result determination module is used to determine the quality of the battery tab to be inspected based on the image comparison result.

[0010] Optionally, when the image comparison module is used to compare the thermal map to be detected with the standard thermal map to obtain an image comparison result, it is specifically used to:

[0011] For each image region to be detected in the thermogram to be detected, determining whether the RGB color average of the image region to be detected is the same as the RGB color average of the reference image region in the standard thermogram, wherein the reference image region is an image region in the standard thermogram having the same position coordinates as the image region to be detected in the thermogram to be detected;

[0012] If the RGB color average value of each of the image areas to be detected is the same as the RGB color average value of the reference image area corresponding to each of them in the standard thermal map, the image comparison result is determined to be qualified.

[0013] Optionally, when the result determination module is used to determine the quality of the battery tab to be inspected according to the image comparison result, it is specifically used to:

[0014] When the image comparison result is qualified, the quality of the battery tab to be inspected is determined to be qualified.

[0015] Optionally, after the image comparison module is used to determine, for each image area to be detected in the heat map to be detected, whether the RGB color average value of the image area to be detected is the same as the RGB color average value of the reference image area in the standard heat map, it is further used to:

[0016] If there is an abnormal image area to be detected, the image comparison result is determined to be unqualified, wherein the abnormal image area to be detected is an image area to be detected whose RGB color average value is different from the RGB color average value of the reference image area corresponding to it in the standard thermal map.

[0017] Optionally, when the result determination module is used to determine the quality of the battery tab to be inspected according to the image comparison result, it is specifically used to:

[0018] When the image comparison result is unqualified, the quality of the battery tab to be inspected is determined to be unqualified.

[0019] Optionally, the system further includes a proportion determination module and a level determination module;

[0020] The proportion determination module is configured to determine, if there is an abnormal image area to be detected, an area proportion value used to describe the proportion of the abnormal range of the battery tab to be detected based on the area of ​​the abnormal image area to be detected and the total area of ​​the heat map to be detected;

[0021] The grade determination module is used to determine the quality grade of the battery tab to be inspected according to the area ratio value.

[0022] Optionally, the system further includes an information sending module;

[0023] The information sending module is configured to send the area ratio value and the quality grade to a target user after the grade determination module determines the quality grade of the battery tab to be inspected according to the area ratio value.

[0024] In a second aspect, an embodiment of the present application provides a battery tab quality detection method, which is applied to a battery tab quality detection system. The system includes a signal acquisition module, a thermal map generation module, an image comparison module, and a result determination module. The method includes:

[0025] The signal acquisition module collects the ultrasonic intensity passing through at least one scanning point on the battery tab to be detected to obtain at least one signal strength value, wherein each scanning point in the at least one scanning point corresponds to a signal strength value in the at least one signal strength value, and the signal acquisition module includes an ultrasonic battery cell detector;

[0026] The thermal map generating module generates a thermal map to be detected for describing the welding quality of the battery tab to be detected according to the at least one signal strength value;

[0027] The image comparison module compares the thermal map to be detected with a standard thermal map to obtain an image comparison result, wherein the standard thermal map is a thermal map of a battery cell used to describe that the welding quality of the battery cell is OK;

[0028] The result determination module determines the quality of the battery tab to be inspected based on the image comparison result.

[0029] Optionally, when the image comparison module compares the to-be-detected thermogram with the standard thermogram to obtain an image comparison result, the image comparison module includes:

[0030] For each image region to be detected in the thermogram to be detected, the image comparison module determines whether the RGB color average value of the image region to be detected is the same as the RGB color average value of the reference image region in the standard thermogram, wherein the reference image region is an image region in the standard thermogram having the same position coordinates as the image region to be detected in the thermogram to be detected;

[0031] If the RGB color average value of each of the image regions to be detected is the same as the RGB color average value of the reference image region corresponding to each of the regions in the standard thermal map, the image comparison module determines that the image comparison result is qualified.

[0032] Optionally, when the result determination module determines the quality of the battery tab to be inspected according to the image comparison result, it includes:

[0033] When the image comparison result is qualified, the result determination module determines the quality of the battery tab to be inspected as qualified.

[0034] Optionally, after the image comparison module determines whether the RGB color average value of each image area to be detected in the thermogram to be detected is the same as the RGB color average value of the reference image area in the standard thermogram, if there is an abnormal image area to be detected, the image comparison module determines the image comparison result as unqualified, wherein the abnormal image area to be detected is an image area to be detected whose RGB color average value is different from the RGB color average value of the reference image area corresponding to it in the standard thermogram.

[0035] Optionally, when the result determination module determines the quality of the battery tab to be inspected according to the image comparison result, it includes:

[0036] When the image comparison result is unqualified, the result determination module determines the quality of the battery tab to be inspected as unqualified.

[0037] Optionally, the system further includes a proportion determination module and a level determination module;

[0038] If there is an abnormal image area to be detected, the proportion determination module determines an area proportion value used to describe the proportion of the abnormal range of the battery tab to be detected based on the area of ​​the abnormal image area to be detected and the total area of ​​the heat map to be detected;

[0039] The grade determination module determines the quality grade of the battery tab to be inspected according to the area ratio value.

[0040] Optionally, the system further includes an information sending module;

[0041] After the grade determination module determines the quality grade of the battery tab to be inspected according to the area ratio value, the information sending module sends the area ratio value and the quality grade to a target user.

[0042] In a third aspect, an embodiment of the present application provides a computer device comprising: a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the computer device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the steps of the battery tab quality detection method described in any optional implementation manner in the second aspect are performed.

[0043] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the battery tab quality detection method described in any optional embodiment of the second aspect are executed.

[0044] The technical solutions provided by this application include but are not limited to the following beneficial effects:

[0045] The signal acquisition module is used to collect the ultrasonic wave intensity passing through at least one scanning point on the battery tab to be detected to obtain at least one signal strength value, wherein each scanning point of the at least one scanning point corresponds to one of the at least one signal strength value, and the signal acquisition module includes an ultrasonic battery cell detector; the thermal map generation module is used to generate a thermal map to be detected for describing the welding quality of the battery tab to be detected based on the at least one signal strength value; through the above module, the thermal map to be detected for describing the distribution of the welding quality of the battery tab to be detected can be generated based on the signal strength value for indicating the internal structural state of the battery tab to be detected.

[0046] The image comparison module is used to compare the thermal map to be detected with the standard thermal map to obtain an image comparison result, wherein the standard thermal map is a battery cell imaging thermal map used to describe that the welding quality of the battery cell is OK; the result determination module is used to determine the quality of the battery tab to be detected based on the image comparison result; through the above module, the quality of the battery tab to be detected can be determined based on the quality of the standard battery cell as a benchmark based on the image comparison result between the thermal map to be detected and the standard thermal map of the battery cell with OK welding quality used for reference.

[0047] By adopting the above scheme, through the coordinated cooperation between the signal acquisition module, the thermal map generation module, the image comparison module and the result determination module, the ultrasonic signal intensity values ​​passing through the scanning points on the battery tab to be tested are collected to generate the thermal map to be tested, and then the thermal map to be tested and the standard thermal map are compared. The quality of the battery tab to be tested is determined according to the comparison results. This can avoid the interference and influence of human factors on the test results and the waste of labor costs in the test process, thereby improving the accuracy of battery tab quality testing and reducing the required labor costs.

[0048] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0050] Figure 1 A schematic structural diagram of a battery tab quality detection system provided in a first embodiment of the present invention is shown;

[0051] Figure 2 A schematic structural diagram of a second battery tab quality detection system provided in the first embodiment of the present invention is shown;

[0052] Figure 3 A schematic structural diagram of a third battery tab quality detection system provided in the first embodiment of the present invention is shown;

[0053] Figure 4 A flow chart of a battery tab quality detection method provided by the second embodiment of the present invention is shown;

[0054] Figure 5 A schematic structural diagram of a computer device provided in the third embodiment of the present invention is shown. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present invention.

[0056] Example 1

[0057] To facilitate understanding of this application, Figure 1 The contents described in the structural schematic diagram of a battery cell quality detection system provided by the first embodiment of the present invention are used to explain the first embodiment of the present application in detail.

[0058] See also Figure 1 As shown, Figure 1 A schematic structural diagram of a battery tab quality detection system provided in a first embodiment of the present invention is shown, wherein the system includes a signal acquisition module 101, a thermal map generation module 102, an image comparison module 103 and a result determination module 104.

[0059] The signal acquisition module is used to collect the ultrasonic wave intensity passing through at least one scanning point on the battery tab to be detected to obtain at least one signal strength value, wherein each scanning point of the at least one scanning point corresponds to a signal strength value of the at least one signal strength value, and the signal acquisition module includes an ultrasonic battery cell detector.

[0060] Specifically, the signal acquisition module sends an ultrasonic signal to the object to be measured, measures the intensity of the attenuated ultrasonic signal after passing through the object to be measured, and thus determines the internal state of the object to be measured. The signal acquisition module includes an ultrasonic cell detector or other equipment that can collect signals about the internal state of the object.

[0061] At least one scanning point is evenly determined on the battery tab to be inspected, and the sound wave transmitting end of the ultrasonic cell detector is controlled to send an ultrasonic signal to the battery tab to be inspected at each scanning point. The sound wave receiving end of the ultrasonic cell detector receives the ultrasonic wave intensity that is attenuated after passing through each scanning point to obtain at least one signal strength value.

[0062] The thermogram generating module is configured to generate a thermogram to be detected for describing the welding quality of the battery tab to be detected according to the at least one signal strength value.

[0063] Specifically, the thermal map drawing parameters are pre-set, including but not limited to chart size, chart position, thermal color, etc., to indicate that the thermal color of each signal strength value or each intensity value range is different; then, based on the different signal strength values ​​and the position of each signal strength value detected on the battery tab to be tested, a thermal map to be tested can be generated to describe the welding quality of the battery tab to be tested.

[0064] The welding quality of the battery tab to be tested includes the following dimensions: whether there are bubbles, whether perforations occur, etc.; when the battery tab has abnormal welding areas with bubbles, perforations or other non-standard welding results after welding, the signal strength values ​​obtained by using an ultrasonic battery cell detector to detect these abnormal welding areas will also be different from the signal strength values ​​of the standard battery tabs. Therefore, when generating a thermal map to be tested for describing the welding quality of the battery tab to be tested based on the at least one signal strength value, the image areas corresponding to these abnormal welding areas in the thermal map to be tested will also appear abnormal, that is, different from the image areas of the standard battery tabs.

[0065] The image comparison module is used to compare the thermal map to be detected with a standard thermal map to obtain an image comparison result, wherein the standard thermal map is a battery cell imaging thermal map used to describe that the battery cell welding quality is OK.

[0066] Specifically, the battery cells with OK welding quality are standard battery cells, and the battery cells with welding quality reaching a preset standard are determined to be OK.

[0067] Before the image comparison module compares the thermal map to be detected with the standard thermal map to obtain an image comparison result, the standard thermal map is obtained by the following steps:

[0068] Step 1: Control the ultrasonic cell detection machine to collect the ultrasonic wave intensity passing through each scanning point on at least one standard cell, and obtain the candidate signal intensity value of each scanning point on at least one standard cell.

[0069] Step 2: For each scanning point, determine whether the candidate signal strength value of each standard cell at the scanning point is within a preset standard threshold range.

[0070] Step 3: Delete the candidate signal strength values ​​at the scanning point that are not within the preset standard threshold range, and then calculate the average of the standard signal strength values ​​of the remaining scanning points except the scanning point to obtain the standard signal strength value indicating the normal situation of the scanning point.

[0071] Step 4: Generate a standard cell imaging thermogram, i.e., a standard thermogram, for describing the welding quality of the standard cell according to the standard signal strength value of each scanning point and preset thermogram drawing parameters.

[0072] The result determination module is used to determine the quality of the battery tab to be inspected based on the image comparison result.

[0073] Specifically, if the image comparison results between the thermal map to be tested and the standard thermal map indicated by the internal structures of different battery cells are different, the quality of the battery tab to be tested can be determined based on the image comparison results.

[0074] In a feasible embodiment, when the image comparison module is used to compare the thermal map to be detected with the standard thermal map to obtain an image comparison result, it is specifically used to:

[0075] For each image area to be detected in the thermogram to be detected, determine whether the RGB color average value of the image area to be detected is the same as the RGB color average value of the reference image area in the standard thermogram, wherein the reference image area is an image area in the standard thermogram with the same position coordinates as the image area to be detected in the thermogram to be detected.

[0076] Specifically, at least one image region to be detected is pre-set in the thermal map to be detected. These image regions to be detected are mainly image regions in the thermal map corresponding to battery cell regions prone to abnormalities obtained based on historical experience.

[0077] For each image area to be detected in the heat map to be detected, the image comparison module determines whether the RGB color average value of the image area to be detected is the same as the RGB color average value of the reference image area in the standard heat map, including:

[0078] For each image area to be detected in the thermal map to be detected, the RGB (Red-Green-Blue) color value of each pixel in the image area to be detected is calculated;

[0079] The RGB color values ​​of all pixels in the image area to be detected are averaged (the values ​​of the R channel, G channel and B channel are averaged respectively) to obtain the RGB color average value of the image area to be detected.

[0080] The calculation method of the RGB color average value of the reference image area in the standard heat map refers to the calculation method of the RGB color average value of the image area to be detected.

[0081] If the RGB color average value of each of the image areas to be detected is the same as the RGB color average value of the reference image area corresponding to each of them in the standard thermal map, the image comparison result is determined to be qualified.

[0082] Specifically, each image area to be detected in the heat map to be detected corresponds to a reference image area in the standard heat map, and then it is determined whether the RGB color average values ​​of the corresponding image areas are the same; if the RGB color average value of each of the image areas to be detected is the same as the RGB color average value of the reference image area corresponding to it in the standard heat map, the image comparison module determines the image comparison result as qualified.

[0083] In a feasible implementation manner, when the result determination module is used to determine the quality of the battery tab to be inspected based on the image comparison result, it is specifically used to:

[0084] When the image comparison result is qualified, the quality of the battery tab to be inspected is determined to be qualified.

[0085] Specifically, when the image comparison result is qualified, it means that the welding process or the bonding condition of the battery cell is normal, and the quality of the battery tab to be tested is determined to be qualified.

[0086] In a feasible embodiment, the image comparison module is further used, after determining, for each image area to be detected in the heat map to be detected, whether the RGB color average value of the image area to be detected is the same as the RGB color average value of the reference image area in the standard heat map:

[0087] If there is an abnormal image area to be detected, the image comparison result is determined to be unqualified, wherein the abnormal image area to be detected is an image area to be detected whose RGB color average value is different from the RGB color average value of the reference image area corresponding to it in the standard thermal map.

[0088] Specifically, if there is an image area to be detected (abnormal image area to be detected) whose RGB color average value is different from the RGB color average value of the reference image area corresponding to it in the standard thermal map, the image comparison result is determined to be unqualified.

[0089] In a feasible implementation manner, when the result determination module is used to determine the quality of the battery tab to be inspected based on the image comparison result, it is specifically used to:

[0090] When the image comparison result is unqualified, the quality of the battery tab to be inspected is determined to be unqualified.

[0091] Specifically, when the image comparison result is unqualified, it means that there is an abnormality in the welding process or bonding condition of the battery cell, and the image comparison result is determined to be unqualified.

[0092] In one possible embodiment, see Figure 2 As shown, Figure 2 2 shows a schematic structural diagram of a second battery tab quality detection system provided in the first embodiment of the present invention, wherein the system further includes a proportion determination module 201 and a grade determination module 202;

[0093] The proportion determination module is used to determine, if there is an abnormal image area to be detected, an area proportion value used to describe the proportion of the abnormal range of the battery tab to be detected based on the area of ​​the abnormal image area to be detected and the total area of ​​the thermal map to be detected.

[0094] Specifically, the area of ​​the abnormal image area to be detected and the total area of ​​the thermogram to be detected are determined in the thermogram to be detected, and the area ratio of the obtained area to the total area (the proportion of the obtained area in the total area) is calculated. This proportion value is used to describe the proportion of the abnormal range of the battery tab to be detected.

[0095] The grade determination module determines the quality grade of the battery tab to be inspected according to the area ratio value.

[0096] Specifically, different area ratio values ​​indicate different levels of quality of the battery tabs to be tested. A larger area ratio value indicates a larger range of abnormalities in the battery tabs to be tested. Conversely, a smaller area ratio value indicates a smaller range of abnormalities in the battery tabs to be tested. Therefore, the quality level of the battery tabs to be tested can be determined based on a preset ratio level comparison table.

[0097] For example, the proportion grade comparison table includes "when the area proportion is 0-20%, the quality grade is A", "when the area proportion is 21-40%, the quality grade is B", "when the area proportion is 41-60%, the quality grade is C", "when the area proportion is 61-80%, the quality grade is D", and "when the area proportion is 81-100%, the quality grade is E"; when the area proportion of the battery tab to be tested is 50%, then according to the above correspondence, it can be obtained that the quality grade of the battery tab to be tested is C.

[0098] In one possible embodiment, see Figure 3 As shown, Figure 3 1 shows a schematic structural diagram of a third battery tab quality detection system provided in the first embodiment of the present invention, wherein the system further includes an information sending module 301;

[0099] The information sending module is configured to send the area ratio value and the quality grade to a target user after the grade determination module determines the quality grade of the battery tab to be inspected according to the area ratio value.

[0100] Specifically, the area ratio value and the quality grade are sent to a target user, so that the target user can know the abnormality degree of the battery tab to be detected.

[0101] Example 2

[0102] See also Figure 4 As shown, Figure 4 A flowchart of a battery tab quality detection method provided by a second embodiment of the present invention is shown, wherein the method is applied to a battery tab quality detection system. The system includes a signal acquisition module, a thermal map generation module, an image comparison module, and a result determination module. The method includes steps S401 to S404:

[0103] S401: The signal acquisition module collects the ultrasonic wave intensity passing through at least one scanning point on the battery tab to be detected to obtain at least one signal strength value, wherein each scanning point of the at least one scanning point corresponds to a signal strength value of the at least one signal strength value, and the signal acquisition module includes an ultrasonic battery cell detector.

[0104] S402: The thermogram generating module generates a thermogram to be detected for describing the welding quality of the battery tab to be detected according to the at least one signal strength value.

[0105] S403: The image comparison module compares the to-be-detected thermogram with a standard thermogram to obtain an image comparison result, wherein the standard thermogram is a cell imaging thermogram used to describe that the welding quality of the cell is OK.

[0106] S404: The result determination module determines the quality of the battery tab to be inspected according to the image comparison result.

[0107] In a feasible embodiment, when the image comparison module compares the thermal map to be detected with the standard thermal map to obtain an image comparison result, it includes:

[0108] For each image region to be detected in the thermogram to be detected, the image comparison module determines whether the RGB color average value of the image region to be detected is the same as the RGB color average value of the reference image region in the standard thermogram, wherein the reference image region is an image region in the standard thermogram having the same position coordinates as the image region to be detected in the thermogram to be detected;

[0109] If the RGB color average value of each of the image regions to be detected is the same as the RGB color average value of the reference image region corresponding to each of the regions in the standard thermal map, the image comparison module determines that the image comparison result is qualified.

[0110] In a feasible implementation manner, when the result determination module determines the quality of the battery tab to be inspected based on the image comparison result, it includes:

[0111] When the image comparison result is qualified, the result determination module determines the quality of the battery tab to be inspected as qualified.

[0112] In a feasible embodiment, after the image comparison module determines whether the RGB color average value of each image area to be detected in the thermogram to be detected is the same as the RGB color average value of the reference image area in the standard thermogram, if there is an abnormal image area to be detected, the image comparison module determines the image comparison result as unqualified, wherein the abnormal image area to be detected is an image area to be detected whose RGB color average value is different from the RGB color average value of the reference image area corresponding to it in the standard thermogram.

[0113] In a feasible implementation manner, when the result determination module determines the quality of the battery tab to be inspected based on the image comparison result, it includes:

[0114] When the image comparison result is unqualified, the result determination module determines the quality of the battery tab to be inspected as unqualified.

[0115] In a feasible embodiment, the system further includes a proportion determination module and a level determination module;

[0116] If there is an abnormal image area to be detected, the proportion determination module determines an area proportion value used to describe the proportion of the abnormal range of the battery tab to be detected based on the area of ​​the abnormal image area to be detected and the total area of ​​the heat map to be detected;

[0117] The grade determination module determines the quality grade of the battery tab to be inspected according to the area ratio value.

[0118] In a feasible embodiment, the system further includes an information sending module;

[0119] After the grade determination module determines the quality grade of the battery tab to be inspected according to the area ratio value, the information sending module sends the area ratio value and the quality grade to a target user.

[0120] Example 3

[0121] Based on the same application concept, see Figure 5 As shown, Figure 5 FIG. 1 shows a schematic diagram of the structure of a computer device provided by the third embodiment of the present invention, wherein Figure 5 As shown, a computer device 500 provided in the third embodiment of the present application includes:

[0122] A processor 501, a memory 502 and a bus 503, wherein the memory 502 stores machine-readable instructions executable by the processor 501. When the computer device 500 is running, the processor 501 and the memory 502 communicate with each other through the bus 503. When the processor 501 is running, the machine-readable instructions execute the steps of the battery tab quality detection method shown in the above embodiment 1.

[0123] Example 4

[0124] Based on the same application concept, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the battery tab quality detection method described in any one of the above embodiments are executed.

[0125] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems and devices can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0126] The computer program product for performing battery tab quality detection provided in an embodiment of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the method described in the previous method embodiment. For specific implementation, please refer to the method embodiment and will not be repeated here.

[0127] The battery tab quality inspection system provided in the embodiments of the present invention can be specific hardware on a device or software or firmware installed on the device. The implementation principles and technical effects of the system provided in the embodiments of the present invention are the same as those of the aforementioned method embodiments. For the sake of brevity, any details not mentioned in the system embodiments can be referred to the corresponding content in the aforementioned method embodiments. Those skilled in the art will clearly understand that, for ease and brevity of description, the specific operating processes of the aforementioned systems, devices, and units can all refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0128] In the embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. The system embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some communication interface, device or unit, which may be electrical, mechanical or other forms.

[0129] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0130] In addition, each functional unit in the embodiment provided by the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0131] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0132] It should be noted that similar numbers and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description and are not to be understood as indicating or implying relative importance.

[0133] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the above-described embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-described embodiments within the technical scope disclosed by the present invention, or replace some of the technical features therein with equivalents. However, such modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention. They should all be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. A battery tab quality detection system, characterized in that: The system includes a signal acquisition module, a heat map generation module, an image comparison module, a result determination module, a proportion determination module and a grade determination module; The signal acquisition module is configured to acquire the ultrasonic intensity passing through at least one scanning point on the battery tab to be detected to obtain at least one signal strength value, wherein each scanning point in the at least one scanning point corresponds to a signal strength value in the at least one signal strength value, and the signal acquisition module includes an ultrasonic battery cell detector; The thermogram generating module is configured to generate a thermogram to be detected for describing the welding quality of the battery tab to be detected according to the at least one signal strength value; The image comparison module is used to compare the thermal map to be tested with a standard thermal map to obtain an image comparison result, wherein the standard thermal map is a thermal map of a battery cell imaging that is used to describe that the welding quality of the battery cell is OK; The result determination module is used to determine the quality of the battery tab to be tested based on the image comparison result; The image comparison module is specifically configured to determine, for each image region to be detected in the thermogram to be detected, whether the RGB color average value of the image region to be detected is the same as the RGB color average value of the reference image region in the standard thermogram, wherein the reference image region is an image region in the standard thermogram having the same position coordinates as the image region to be detected in the thermogram to be detected; The proportion determination module is configured to determine, if an abnormal image area to be detected exists, an area proportion value used to describe the proportion of the abnormal range of the battery tab to be detected based on the area of ​​the abnormal image area to be detected and the total area of ​​the heat map to be detected, wherein the abnormal image area to be detected is an image area to be detected whose RGB color average value is different from the RGB color average value of the reference image area corresponding to it in the standard heat map; The grade determination module is used to determine the quality grade of the battery tab to be inspected according to the area ratio value.

2. The system according to claim 1, wherein: When the image comparison module is used to compare the thermal map to be detected with the standard thermal map to obtain an image comparison result, it is specifically used to: If the RGB color average value of each of the image areas to be detected is the same as the RGB color average value of the reference image area corresponding to each of them in the standard thermal map, the image comparison result is determined to be qualified.

3. The system according to claim 2, characterized in that When the result determination module is used to determine the quality of the battery tab to be inspected according to the image comparison result, it is specifically used to: When the image comparison result is qualified, the quality of the battery tab to be inspected is determined to be qualified.

4. The system according to claim 2, wherein: After the image comparison module is used to determine, for each image area to be detected in the heat map to be detected, whether the RGB color average value of the image area to be detected is the same as the RGB color average value of the reference image area in the standard heat map, it is further used to: If there is an abnormal image area to be detected, the image comparison result is determined to be unqualified, wherein the abnormal image area to be detected is an image area to be detected whose RGB color average value is different from the RGB color average value of the reference image area corresponding to it in the standard thermal map.

5. The system according to claim 4, characterized in that When the result determination module is used to determine the quality of the battery tab to be inspected according to the image comparison result, it is specifically used to: When the image comparison result is unqualified, the quality of the battery tab to be inspected is determined to be unqualified.

6. The system according to claim 1, wherein: The system also includes an information sending module; The information sending module is configured to send the area ratio value and the quality grade to a target user after the grade determination module determines the quality grade of the battery tab to be inspected according to the area ratio value.

7. A battery tab quality detection method, characterized in that: Applied to a battery tab quality detection system, the system includes a signal acquisition module, a thermal map generation module, an image comparison module, a result determination module, a ratio determination module, and a grade determination module. The method includes: The signal acquisition module collects the ultrasonic intensity passing through at least one scanning point on the battery tab to be detected to obtain at least one signal strength value, wherein each scanning point in the at least one scanning point corresponds to a signal strength value in the at least one signal strength value, and the signal acquisition module includes an ultrasonic battery cell detector; The thermal map generating module generates a thermal map to be detected for describing the welding quality of the battery tab to be detected according to the at least one signal strength value; The image comparison module compares the thermal map to be detected with a standard thermal map to obtain an image comparison result, wherein the standard thermal map is a thermal map of a battery cell used to describe that the welding quality of the battery cell is OK; The result determination module determines the quality of the battery tab to be tested according to the image comparison result; The step of comparing the thermal map to be detected with the standard thermal map to obtain an image comparison result includes: For each image region to be detected in the thermogram to be detected, determining whether the RGB color average of the image region to be detected is the same as the RGB color average of the reference image region in the standard thermogram, wherein the reference image region is an image region in the standard thermogram having the same position coordinates as the image region to be detected in the thermogram to be detected; If there is an abnormal image area to be detected, the proportion determination module determines an area proportion value used to describe the proportion of the abnormal range of the battery tab to be detected based on the area of ​​the abnormal image area to be detected and the total area of ​​the heat map to be detected, wherein the abnormal image area to be detected is an image area to be detected whose RGB color average value is different from the RGB color average value of the reference image area corresponding to it in the standard heat map; The grade determination module determines the quality grade of the battery tab to be inspected according to the area ratio value.

8. A computer device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the computer device is running, the processor and the memory communicate via the bus. When the machine-readable instructions are executed by the processor, the steps of the battery tab quality detection method as described in claim 7 are performed.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, executes the steps of the battery tab quality detection method as claimed in claim 7.

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