A method, apparatus, computer equipment, and storage medium for inspecting the appearance of battery cells.

Abstract

This application provides a method, apparatus, computer equipment, and storage medium for inspecting the appearance of battery cells. The method determines the optimal dent area, optimal dent depth, and optimal dent gradient of each historical battery cell sample based on the mapping relationship between the actual dent area, actual dent depth, and actual dent gradient, and the actual appearance state of each historical battery cell sample. The appearance state of the battery cell to be inspected is determined by comparing the optimal dent area, optimal dent depth, and optimal dent gradient with the actual dent area, actual dent depth, and actual dent gradient of the battery cell to be inspected. This method reduces the labor costs required for inspecting the appearance of battery cells and improves the accuracy of the inspection.

Description

Technical Field

[0001] This invention relates to the field of battery quality inspection, and more specifically, to a method, apparatus, computer equipment, and storage medium for inspecting the appearance of battery cells. Background Technology

[0002] Currently, batteries are used in an increasingly wide range of applications, such as mobile phones, laptops, and electric vehicles, forming a huge industrial cluster. Among them, the battery cell is an important component of the battery and an intermediate product for various battery types. Through the packing process, it can be assembled into batteries of different specifications, such as batteries for electric bicycles and batteries for electric cars.

[0003] After the battery cells are manufactured, many quality issues manifest in their appearance. Therefore, the final appearance inspection of the battery cells is a crucial means of controlling their quality during the manufacturing process. Currently, this inspection process is entirely manual, which increases the labor costs required for appearance inspection. Furthermore, because manual inspection is a subjective activity, factors such as individual differences among inspectors and variations in the inspection environment often introduce fluctuations and significant uncertainties into the appearance quality inspection, thereby reducing its accuracy. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a method, apparatus, computer equipment and storage medium for inspecting the appearance of battery cells, so as to reduce the labor costs required for inspecting the appearance of battery cells and improve the accuracy of inspecting the appearance of battery cells.

[0005] In a first aspect, embodiments of this application provide a method for inspecting the appearance of a battery cell, the method comprising:

[0006] Based on the mapping relationship between the actual indentation area and the actual indentation depth and the actual indentation gradient of each historical cell sample, and the actual appearance of each historical cell sample, the optimal indentation area, optimal indentation depth and optimal indentation gradient of the cell sample are determined.

[0007] The appearance of the battery cell under test is determined by comparing the optimal indentation area, optimal indentation depth, and optimal indentation gradient of the battery cell sample with the actual indentation area, actual indentation depth, and actual indentation gradient of the battery cell under test.

[0008] Optionally, before determining the optimal depression area, optimal depression depth, and optimal depression gradient of a cell sample based on the mapping relationship between the actual depression area and the actual depression depth and the actual depression gradient of each historical cell sample, and the actual appearance state of each historical cell sample, the method includes:

[0009] The actual appearance of each historical cell sample is determined based on its actual dent area, actual dent depth, and actual dent gradient, as well as the pre-configured standard dent area, standard dent depth, and standard dent gradient.

[0010] Optionally, determining the optimal depression area, optimal depression depth, and optimal depression gradient of a cell sample based on the mapping relationship between the actual depression area and the actual depression depth and the actual depression gradient of each historical cell sample, and the actual appearance of each historical cell sample, includes:

[0011] For each historical cell sample, depth coordinate points are generated based on the actual indentation area and actual indentation depth of the historical cell sample, and gradient coordinate points are generated based on the actual indentation area and actual indentation gradient of the historical cell sample.

[0012] A depth coordinate system is constructed based on the depth coordinates of each historical cell sample, and a gradient coordinate system is constructed based on the gradient of each historical cell sample.

[0013] Based on the actual appearance of each historical battery cell sample, the first optimal classification line in the depth coordinate system and the second optimal classification line in the gradient coordinate system are determined respectively.

[0014] The optimal depression depth and the first depression area are determined based on the intersection of the first optimal classification line and the coordinate axis of the depth coordinate system; the optimal depression gradient and the second depression area are determined based on the intersection of the second optimal classification line and the coordinate axis of the gradient coordinate system.

[0015] The optimal depression area is determined based on the first depression area and the second depression area, wherein the optimal depression area is the depression area that satisfies the area range formed by the first depression area and the second depression area.

[0016] Optionally, determining the appearance of the battery cell under test based on the optimal depression area, optimal depression depth, and optimal depression gradient of the battery cell sample and the actual depression area, actual depression depth, and actual depression gradient of the battery cell under test includes:

[0017] Determine whether the actual dent area of ​​the battery cell to be tested meets the optimal dent area;

[0018] If the actual dent area of ​​the battery cell to be tested does not meet the optimal dent area, then the appearance of the battery cell to be tested is determined to be abnormal.

[0019] Optionally, after determining whether the actual dent area of ​​the battery cell to be tested meets the optimal dent area, the method further includes:

[0020] If the actual dent area of ​​the cell under test meets the optimal dent area, then it is determined whether the actual dent depth of the cell under test does not exceed the optimal dent depth, and whether the actual dent gradient does not exceed the optimal dent gradient.

[0021] If the actual dent depth of the cell under test does not exceed the optimal dent depth, and the actual dent gradient does not exceed the optimal dent gradient, then the appearance of the cell under test is determined to be normal.

[0022] Optionally, after determining whether the actual dent depth of the cell under test does not exceed the optimal dent depth and whether the actual dent gradient does not exceed the optimal dent gradient, the method further includes:

[0023] If the actual dent depth of the cell under test exceeds the optimal dent depth, or the actual dent gradient exceeds the optimal dent gradient, then the appearance of the cell under test is determined to be abnormal.

[0024] Secondly, embodiments of this application provide a battery cell appearance inspection device, the device comprising:

[0025] The optimal indentation parameter determination module is used to determine the optimal indentation area, optimal indentation depth and optimal indentation gradient of each historical cell sample based on the mapping relationship between the actual indentation area and the actual indentation depth and the actual indentation gradient of each historical cell sample, as well as the actual appearance state of each historical cell sample.

[0026] The cell state determination module is used to determine the appearance state of the cell to be tested based on the optimal depression area, optimal depression depth and optimal depression gradient of the cell sample and the actual depression area, actual depression depth and actual depression gradient of the cell to be tested.

[0027] Optionally, the device further includes:

[0028] The historical state determination module is used to determine the actual appearance state of each historical cell sample before the optimal depression parameter determination module determines the optimal depression area, optimal depression depth, and optimal depression gradient of each historical cell sample based on the mapping relationship between the actual depression area and the actual depression depth and the actual depression gradient of each historical cell sample, as well as the actual appearance state of each historical cell sample.

[0029] Optionally, the optimal indentation parameter determination module, when determining the optimal indentation area, optimal indentation depth, and optimal indentation gradient of a cell sample based on the mapping relationship between the actual indentation area and the actual indentation depth and the actual indentation gradient of each historical cell sample, and the actual appearance state of each historical cell sample, is specifically used for:

[0030] For each historical cell sample, depth coordinate points are generated based on the actual indentation area and actual indentation depth of the historical cell sample, and gradient coordinate points are generated based on the actual indentation area and actual indentation gradient of the historical cell sample.

[0031] A depth coordinate system is constructed based on the depth coordinates of each historical cell sample, and a gradient coordinate system is constructed based on the gradient of each historical cell sample.

[0032] Based on the actual appearance of each historical battery cell sample, the first optimal classification line in the depth coordinate system and the second optimal classification line in the gradient coordinate system are determined respectively.

[0033] The optimal depression depth and the first depression area are determined based on the intersection of the first optimal classification line and the coordinate axis of the depth coordinate system; the optimal depression gradient and the second depression area are determined based on the intersection of the second optimal classification line and the coordinate axis of the gradient coordinate system.

[0034] The optimal depression area is determined based on the first depression area and the second depression area, wherein the optimal depression area is the depression area that satisfies the area range formed by the first depression area and the second depression area.

[0035] Optionally, when the cell state determination module determines the appearance state of the cell under test based on the optimal depression area, optimal depression depth, and optimal depression gradient of the cell sample and the actual depression area, actual depression depth, and actual depression gradient of the cell under test, it is specifically used for:

[0036] Determine whether the actual dent area of ​​the battery cell to be tested meets the optimal dent area;

[0037] If the actual dent area of ​​the battery cell to be tested does not meet the optimal dent area, then the appearance of the battery cell to be tested is determined to be abnormal.

[0038] Optionally, after the cell condition determination module determines whether the actual dent area of ​​the cell to be tested meets the optimal dent area, it is further configured to:

[0039] If the actual dent area of ​​the cell under test meets the optimal dent area, then it is determined whether the actual dent depth of the cell under test does not exceed the optimal dent depth, and whether the actual dent gradient does not exceed the optimal dent gradient.

[0040] If the actual dent depth of the cell under test does not exceed the optimal dent depth, and the actual dent gradient does not exceed the optimal dent gradient, then the appearance of the cell under test is determined to be normal.

[0041] Optionally, after the cell state determination module determines whether the actual dent depth of the cell under test does not exceed the optimal dent depth and whether the actual dent gradient does not exceed the optimal dent gradient, it is further configured to:

[0042] If the actual dent depth of the cell under test exceeds the optimal dent depth, or the actual dent gradient exceeds the optimal dent gradient, then the appearance of the cell under test is determined to be abnormal.

[0043] Thirdly, embodiments of this application provide a computer device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the computer device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, the steps of the cell appearance inspection method described in any of the optional embodiments of the first aspect are performed.

[0044] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the cell appearance inspection method described in any of the optional embodiments of the first aspect.

[0045] The technical solution provided in this application includes, but is not limited to, the following beneficial effects:

[0046] This application determines the optimal dent area, optimal dent depth, and optimal dent gradient of a battery cell sample by mapping the actual dent area to the actual dent depth and actual dent gradient of each historical battery cell sample, as well as the actual appearance of each historical battery cell sample. Then, based on the optimal dent area, optimal dent depth, and optimal dent gradient of the battery cell sample and the actual dent area, actual dent depth, and actual dent gradient of the battery cell to be tested, the appearance of the battery cell to be tested is determined. This avoids the waste of manpower caused by manual inspection, and also avoids the interference and influence of human factors, thereby reducing the manpower cost required for battery cell appearance inspection and improving the accuracy of battery cell appearance inspection.

[0047] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0048] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 A flowchart of a battery cell appearance inspection method provided in Embodiment 1 of the present invention is shown;

[0050] Figure 2 The flowchart of an optimal concave parameter determination method provided in Embodiment 1 of the present invention is shown;

[0051] Figure 3 This diagram illustrates the structure of a battery cell appearance inspection device provided in Embodiment 2 of the present invention.

[0052] Figure 4 This shows a schematic diagram of the structure of the second type of battery cell appearance inspection device provided in Embodiment 2 of the present invention;

[0053] Figure 5 A schematic diagram of the structure of a computer device provided in Embodiment 3 of the present invention is shown. Detailed Implementation

[0054] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0055] Example 1

[0056] To facilitate understanding of this application, the following is combined with... Figure 1 The flowchart of the battery cell appearance inspection method provided in Embodiment 1 of the present invention will be described in detail for Embodiment 1 of this application.

[0057] See Figure 1 As shown, Figure 1 The flowchart of a cell appearance inspection method provided in Embodiment 1 of the present invention is shown. The method includes steps S101 to S102:

[0058] S101: Based on the mapping relationship between the actual dent area and the actual dent depth and the actual dent gradient of each historical cell sample, and the actual appearance of each historical cell sample, determine the optimal dent area, optimal dent depth and optimal dent gradient of the cell sample.

[0059] Specifically, for each historical cell sample, the actual indentation area and actual indentation depth of the historical cell sample are mapped to obtain a one-to-one mapping relationship. Thus, the actual indentation area of ​​the historical cell sample is used as the horizontal axis value and the actual indentation depth of the historical cell sample is used as the vertical axis value to construct the depth coordinate point. Similarly, the gradient coordinate point of each historical cell sample can be obtained.

[0060] Historical cell samples may appear normal or abnormal. Historical cell samples with different mapping relationships between actual dent area, actual dent depth, and actual dent gradient may have different actual appearances. Based on the commonality of the mapping relationships among historical cell samples with the same actual appearance, we can determine the mapping relationship between actual dent area and actual dent depth, as well as the mapping relationship between actual dent area and actual dent gradient, that historical cell samples with normal appearance usually have. The corresponding values ​​in these mapping relationships are used as the optimal parameter values ​​for judging the appearance of the cell, namely, the optimal dent area, optimal dent depth, and optimal dent gradient.

[0061] S102: Determine the appearance of the battery cell to be tested based on the optimal depression area, optimal depression depth, and optimal depression gradient of the battery cell sample and the actual depression area, actual depression depth, and actual depression gradient of the battery cell to be tested.

[0062] Specifically, given the optimal parameter values ​​for evaluating the appearance of a battery cell, namely the optimal dent area, optimal dent depth, and optimal dent gradient, the actual dent area, actual dent depth, and actual dent gradient of the battery cell under test are compared with the optimal dent area, optimal dent depth, and optimal dent gradient. Based on the comparison results, the appearance of the battery cell under test can be determined.

[0063] In a feasible implementation, before determining the optimal depression area, optimal depression depth, and optimal depression gradient of a battery cell sample based on the mapping relationship between the actual depression area and the actual depression depth and the actual depression gradient of each historical battery cell sample, and the actual appearance state of each historical battery cell sample, the method includes:

[0064] The actual appearance of each historical cell sample is determined based on its actual dent area, actual dent depth, and actual dent gradient, as well as the pre-configured standard dent area, standard dent depth, and standard dent gradient.

[0065] Specifically, historical battery cell samples include the battery cell body, battery cell tabs, and battery cell side corner parts.

[0066] For historical cell samples that belong to the main body of the cell, the appearance of the historical cell sample is determined based on the actual dent area, actual dent depth, and actual dent gradient of the historical cell sample. The actual dent depth includes the average value and the maximum value of the actual dent depth. For historical cell samples that belong to the side corner of the cell, the appearance of the historical cell sample is determined based on the actual dent area and actual dent depth of the historical cell sample.

[0067] For historical cell samples belonging to the main body of the cell, if the actual dent area is within a set area and the average depth, maximum depth, and gradient are all greater than the set threshold under the actual dent area, then the appearance of the historical cell sample is determined to be abnormal. For historical cell samples belonging to the side corner of the cell, if the actual dent area is within a set area and the actual dent depth is greater than the set depth value under the actual dent area, then the appearance of the historical cell sample is determined to be abnormal.

[0068] In a feasible implementation plan Figure 2 The flowchart illustrates a method for determining optimal indentation parameters according to Embodiment 1 of the present invention. The method involves determining the optimal indentation area, optimal indentation depth, and optimal indentation gradient of each historical cell sample based on the mapping relationship between the actual indentation area and the actual indentation depth and the actual indentation gradient, as well as the actual appearance of each historical cell sample. This includes steps S201 to S205.

[0069] S201: For each historical cell sample, generate depth coordinate points based on the actual indentation area and actual indentation depth of the historical cell sample, and generate gradient coordinate points based on the actual indentation area and actual indentation gradient of the historical cell sample.

[0070] Specifically, depth coordinate points are generated based on the actual dent area and actual dent depth of the historical battery cell sample, including: using the actual dent area of ​​the historical battery cell sample as the horizontal axis value and the actual dent depth as the vertical axis value to generate depth coordinate points.

[0071] The gradient coordinate points are generated based on the actual dent area and actual dent gradient of the historical cell sample, including: using the actual dent area of ​​the historical cell sample as the horizontal axis value and the actual dent gradient as the vertical axis value to generate gradient coordinate points.

[0072] S202: Construct a depth coordinate system based on the depth coordinate points of each historical cell sample, and construct a gradient coordinate system based on the gradient of each historical cell sample.

[0073] Specifically, the depth coordinates of each historical cell sample are plotted in a Cartesian coordinate system to obtain a depth coordinate system; the gradient coordinates of each historical cell sample are plotted in a Cartesian coordinate system to obtain a gradient coordinate system.

[0074] S203: Based on the actual appearance of each of the historical cell samples, determine the first optimal classification line in the depth coordinate system and the second optimal classification line in the gradient coordinate system.

[0075] Specifically, in the depth coordinate system, a first optimal classification line is found, which satisfies the condition that all depth coordinate points are divided into two parts, such that depth coordinate points belonging to the same part are as much as possible the depth coordinate points of historical cell samples with the same appearance. In the gradient coordinate system, a second optimal classification line is found, which satisfies the condition that all gradient coordinate points are divided into two parts, such that gradient coordinate points belonging to the same part are as much as possible the gradient coordinate points of historical cell samples with the same appearance.

[0076] In addition to the methods for determining the first and second optimal classification lines provided above, a trained optimal classification line determination model can also be used to determine the first and second optimal classification lines.

[0077] S204: Determine the optimal depression depth and the first depression area based on the intersection of the first optimal classification line and the coordinate axis of the depth coordinate system; determine the optimal depression gradient and the second depression area based on the intersection of the second optimal classification line and the coordinate axis of the gradient coordinate system.

[0078] Specifically, the intersection of the first optimal classification line and the horizontal axis of the depth coordinate system is taken as the first concave area, and the intersection of the first optimal classification line and the vertical axis of the depth coordinate system is taken as the optimal concave depth; the intersection of the second optimal classification line and the horizontal axis of the gradient coordinate system is taken as the second concave area, and the intersection of the second optimal classification line and the vertical axis of the gradient coordinate system is taken as the optimal concave gradient.

[0079] S205: Determine the optimal depression area based on the first depression area and the second depression area, wherein the optimal depression area is the depression area that satisfies the area range formed by the first depression area and the second depression area.

[0080] Specifically, the optimal depression area is any value within the area range formed by the first depression area and the second depression area.

[0081] In one feasible implementation, determining the appearance of the battery cell under test based on the optimal depression area, optimal depression depth, and optimal depression gradient of the battery cell sample and the actual depression area, actual depression depth, and actual depression gradient of the battery cell under test includes:

[0082] Determine whether the actual dent area of ​​the battery cell to be tested meets the optimal dent area;

[0083] If the actual dent area of ​​the battery cell to be tested does not meet the optimal dent area, then the appearance of the battery cell to be tested is determined to be abnormal.

[0084] In a feasible implementation, after determining whether the actual dent area of ​​the battery cell under test meets the optimal dent area, the method further includes:

[0085] If the actual dent area of ​​the cell under test meets the optimal dent area, then it is determined whether the actual dent depth of the cell under test does not exceed the optimal dent depth, and whether the actual dent gradient does not exceed the optimal dent gradient.

[0086] If the actual dent depth of the cell under test does not exceed the optimal dent depth, and the actual dent gradient does not exceed the optimal dent gradient, then the appearance of the cell under test is determined to be normal.

[0087] In a feasible implementation, after determining whether the actual dent depth of the cell under test does not exceed the optimal dent depth and whether the actual dent gradient does not exceed the optimal dent gradient, the method further includes:

[0088] If the actual dent depth of the cell under test exceeds the optimal dent depth, or the actual dent gradient exceeds the optimal dent gradient, then the appearance of the cell under test is determined to be abnormal.

[0089] In one feasible implementation, determining the first optimal classification line in the depth coordinate system and the second optimal classification line in the gradient coordinate system based on the actual appearance of each historical cell sample includes:

[0090] Step 1: In the depth coordinate system, generate multiple first classification lines for each first endpoint and each second endpoint. Each first endpoint is a point within the range of the first endpoint, and each second endpoint is a point within the range of the second endpoint. The lower limit of the range of the first endpoint is the minimum ordinate value of the depth coordinate points contained in the depth coordinate system, and the upper limit of the range of the first endpoint is the maximum ordinate value of the depth coordinate points contained in the depth coordinate system. The lower limit of the range of the second endpoint is the minimum abscissa value of the depth coordinate points contained in the depth coordinate system, and the upper limit of the range of the second endpoint is the maximum abscissa value of the depth coordinate points contained in the depth coordinate system.

[0091] Specifically, the step size between any two first endpoints is 1 (units are based on the units of the concave area in the coordinate system), and the step size between any two second endpoints is 1 (units are based on the units of the concave feature in the coordinate system). X first endpoints are selected within the range of the first endpoints, and Y second endpoints are selected within the range of the second endpoints. A straight line is drawn through each first endpoint and each second endpoint to form the first classification line. This results in X*Y first classification lines. Since the range of the first endpoints is on the vertical axis of the coordinate system, and the range of the second endpoints is on the horizontal axis, each first classification line divides the coordinate system into two parts. The first part is a triangular region (within the second quadrant) formed by the line segment from the origin to the first endpoint, the line segment from the origin to the second endpoint, and the line segment between the first and second endpoints. The second part is the region within the second quadrant excluding this triangular region.

[0092] Step 2: For each first classification line, determine the first optimal classification line of the depth coordinate system based on the appearance of the historical cell samples indicated by the depth coordinate points located on both sides of the first classification line in the depth coordinate system.

[0093] Specifically, each part contains depth coordinate points. For each first classification line, the number of depth coordinate points of historical cell samples with normal appearance in the first part composed of the first classification line is counted, and the classification ratio of the first number to the total number of all depth coordinate points is calculated. This yields the classification ratio for each first classification line. Since a higher classification ratio indicates a better classification effect, the first classification line with the highest classification ratio is selected as the first optimal classification line.

[0094] Similarly, the second optimal classification line in the gradient coordinate system can be determined by referring to the above steps.

[0095] Example 2

[0096] See Figure 3 As shown, Figure 3 This diagram illustrates the structure of a battery cell appearance inspection device according to Embodiment 2 of the present invention, wherein the device includes:

[0097] The optimal indentation parameter determination module 301 is used to determine the optimal indentation area, optimal indentation depth and optimal indentation gradient of a cell sample based on the mapping relationship between the actual indentation area and the actual indentation depth and the actual indentation gradient of each historical cell sample, as well as the actual appearance state of each historical cell sample.

[0098] The cell state determination module 302 is used to determine the appearance state of the cell to be tested based on the optimal depression area, optimal depression depth and optimal depression gradient of the cell sample and the actual depression area, actual depression depth and actual depression gradient of the cell to be tested.

[0099] In one feasible implementation plan, see Figure 4 As shown, Figure 4 A schematic diagram of the structure of the second type of battery cell appearance inspection device provided in Embodiment 2 of the present invention is shown, wherein the device includes:

[0100] The historical state determination module 401 is used to determine the actual appearance state of each historical cell sample before the optimal depression parameter determination module determines the optimal depression area, optimal depression depth, and optimal depression gradient of each historical cell sample based on the mapping relationship between the actual depression area and the actual depression depth and the actual depression gradient of each historical cell sample, as well as the actual appearance state of each historical cell sample.

[0101] In a feasible implementation, the optimal indentation parameter determination module, when determining the optimal indentation area, optimal indentation depth, and optimal indentation gradient of a battery cell sample based on the mapping relationship between the actual indentation area and the actual indentation depth and the actual indentation gradient of each historical battery cell sample, and the actual appearance state of each historical battery cell sample, is specifically used for:

[0102] For each historical cell sample, depth coordinate points are generated based on the actual indentation area and actual indentation depth of the historical cell sample, and gradient coordinate points are generated based on the actual indentation area and actual indentation gradient of the historical cell sample.

[0103] A depth coordinate system is constructed based on the depth coordinates of each historical cell sample, and a gradient coordinate system is constructed based on the gradient of each historical cell sample.

[0104] Based on the actual appearance of each historical battery cell sample, the first optimal classification line in the depth coordinate system and the second optimal classification line in the gradient coordinate system are determined respectively.

[0105] The optimal depression depth and the first depression area are determined based on the intersection of the first optimal classification line and the coordinate axis of the depth coordinate system; the optimal depression gradient and the second depression area are determined based on the intersection of the second optimal classification line and the coordinate axis of the gradient coordinate system.

[0106] The optimal depression area is determined based on the first depression area and the second depression area, wherein the optimal depression area is the depression area that satisfies the area range formed by the first depression area and the second depression area.

[0107] In one feasible implementation, the cell state determination module, when determining the appearance state of the cell under test based on the optimal depression area, optimal depression depth, and optimal depression gradient of the cell sample and the actual depression area, actual depression depth, and actual depression gradient of the cell under test, is specifically used for:

[0108] Determine whether the actual dent area of ​​the battery cell to be tested meets the optimal dent area;

[0109] If the actual dent area of ​​the battery cell to be tested does not meet the optimal dent area, then the appearance of the battery cell to be tested is determined to be abnormal.

[0110] In one feasible implementation, after the cell condition determination module determines whether the actual dent area of ​​the cell to be tested meets the optimal dent area, it is further used to:

[0111] If the actual dent area of ​​the cell under test meets the optimal dent area, then it is determined whether the actual dent depth of the cell under test does not exceed the optimal dent depth, and whether the actual dent gradient does not exceed the optimal dent gradient.

[0112] If the actual dent depth of the cell under test does not exceed the optimal dent depth, and the actual dent gradient does not exceed the optimal dent gradient, then the appearance of the cell under test is determined to be normal.

[0113] In one feasible implementation, after the cell condition determination module determines whether the actual dent depth of the cell under test does not exceed the optimal dent depth and whether the actual dent gradient does not exceed the optimal dent gradient, it is further configured to:

[0114] If the actual dent depth of the cell under test exceeds the optimal dent depth, or the actual dent gradient exceeds the optimal dent gradient, then the appearance of the cell under test is determined to be abnormal.

[0115] Example 3

[0116] Based on the same application concept, see [link / reference] Figure 5 As shown, Figure 5 A schematic diagram of the structure of a computer device provided in Embodiment 3 of the present invention is shown, wherein, as Figure 5 As shown, the computer device 500 provided in Embodiment 3 of this application includes:

[0117] The system includes a processor 501, a memory 502, and a bus 503. The memory 502 stores machine-readable instructions that can be executed by the processor 501. When the computer device 500 is running, the processor 501 and the memory 502 communicate through the bus 503. When the machine-readable instructions are executed by the processor 501, they perform the steps of the cell appearance inspection method shown in Embodiment 1 above.

[0118] Example 4

[0119] Based on the same concept, this application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the cell appearance inspection method described in any of the above embodiments.

[0120] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system and apparatus described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0121] The computer program product for performing cell appearance inspection provided in this embodiment of the invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the preceding method embodiments. For specific implementation details, please refer to the method embodiments, which will not be repeated here.

[0122] The battery cell appearance inspection device provided in this embodiment of the invention can be specific hardware on a device or software or firmware installed on the device. The implementation principle and technical effects of the device provided in this embodiment of the invention are the same as those in the foregoing method embodiments. For the sake of brevity, any parts not mentioned in the device embodiments can be referred to the corresponding content in the foregoing method embodiments. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can all be referred to the corresponding processes in the above method embodiments, and will not be repeated here.

[0123] In the embodiments provided by this invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0124] The units described as separate components may or may not be physically separate. 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 the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0125] In addition, the functional units in the embodiments provided by the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0126] If the aforementioned functions are implemented as 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 this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0127] It should be noted that similar labels and letters in the following figures indicate similar items. 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 used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0128] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. 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 foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention. All should be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for inspecting the appearance of a battery cell, characterized in that, The method includes: Based on the mapping relationship between the actual dent area and the actual dent depth and actual dent gradient of each historical cell sample, and the actual appearance of each historical cell sample, the optimal dent area, optimal dent depth, and optimal dent gradient of the cell sample are determined. This includes: constructing a depth coordinate system representing the relationship between the actual dent area and the actual dent depth, and a gradient coordinate system representing the relationship between the actual dent area and the actual dent gradient; determining the optimal classification line in the depth coordinate system and the gradient coordinate system based on the actual appearance of each historical cell sample; determining the optimal dent depth, optimal dent gradient, and two dent areas based on the intersection of the optimal classification line and the coordinate axes; and determining the optimal dent area based on the two dent areas. The appearance of the battery cell under test is determined by comparing the optimal indentation area, optimal indentation depth, and optimal indentation gradient of the battery cell sample with the actual indentation area, actual indentation depth, and actual indentation gradient of the battery cell under test.

2. The method according to claim 1, characterized in that, Before determining the optimal depression area, optimal depression depth, and optimal depression gradient of a battery cell sample based on the mapping relationship between the actual depression area and the actual depression depth and the actual depression gradient of each historical battery cell sample, and the actual appearance of each historical battery cell sample, the method includes: The actual appearance of each historical cell sample is determined based on its actual dent area, actual dent depth, and actual dent gradient, as well as the pre-configured standard dent area, standard dent depth, and standard dent gradient.

3. The method according to claim 1, characterized in that, The step of determining the optimal depression area, optimal depression depth, and optimal depression gradient of a battery cell sample based on the mapping relationship between the actual depression area and the actual depression depth and the actual depression gradient of each historical battery cell sample, and the actual appearance of each historical battery cell sample, includes: For each historical cell sample, depth coordinate points are generated based on the actual indentation area and actual indentation depth of the historical cell sample, and gradient coordinate points are generated based on the actual indentation area and actual indentation gradient of the historical cell sample. A depth coordinate system is constructed based on the depth coordinates of each historical cell sample, and a gradient coordinate system is constructed based on the gradient of each historical cell sample. Based on the actual appearance of each historical battery cell sample, the first optimal classification line in the depth coordinate system and the second optimal classification line in the gradient coordinate system are determined respectively. The optimal depression depth and the first depression area are determined based on the intersection of the first optimal classification line and the coordinate axis of the depth coordinate system; the optimal depression gradient and the second depression area are determined based on the intersection of the second optimal classification line and the coordinate axis of the gradient coordinate system. The optimal depression area is determined based on the first depression area and the second depression area, wherein the optimal depression area is the depression area that satisfies the area range formed by the first depression area and the second depression area.

4. The method according to claim 1, characterized in that, The process of determining the appearance of the battery cell under test based on the optimal indentation area, optimal indentation depth, and optimal indentation gradient of the battery cell sample and the actual indentation area, actual indentation depth, and actual indentation gradient of the battery cell under test includes: Determine whether the actual dent area of ​​the battery cell to be tested meets the optimal dent area; If the actual dent area of ​​the battery cell to be tested does not meet the optimal dent area, then the appearance of the battery cell to be tested is determined to be abnormal.

5. The method according to claim 4, characterized in that, After determining whether the actual dent area of ​​the battery cell under test meets the optimal dent area, the method further includes: If the actual dent area of ​​the cell under test meets the optimal dent area, then it is determined whether the actual dent depth of the cell under test does not exceed the optimal dent depth, and whether the actual dent gradient does not exceed the optimal dent gradient. If the actual dent depth of the cell under test does not exceed the optimal dent depth, and the actual dent gradient does not exceed the optimal dent gradient, then the appearance of the cell under test is determined to be normal.

6. The method according to claim 5, characterized in that, After determining whether the actual dent depth of the battery cell under test does not exceed the optimal dent depth and whether the actual dent gradient does not exceed the optimal dent gradient, the method further includes: If the actual dent depth of the cell under test exceeds the optimal dent depth, or the actual dent gradient exceeds the optimal dent gradient, then the appearance of the cell under test is determined to be abnormal.

7. A battery cell appearance inspection device, characterized in that, The device includes: The optimal dent parameter determination module is used to determine the optimal dent area, optimal dent depth, and optimal dent gradient of each historical cell sample based on the mapping relationship between the actual dent area and the actual dent depth and the actual dent gradient, as well as the actual appearance state of each historical cell sample. This includes: constructing a depth coordinate system representing the relationship between the actual dent area and the actual dent depth, and a gradient coordinate system representing the relationship between the actual dent area and the actual dent gradient; determining the optimal classification line in the depth coordinate system and the gradient coordinate system based on the actual appearance state of each historical cell sample; determining the optimal dent depth, optimal dent gradient, and two dent areas based on the intersection points of the optimal classification line and the coordinate axes; and determining the optimal dent area based on the two dent areas. The cell state determination module is used to determine the appearance state of the cell to be tested based on the optimal depression area, optimal depression depth and optimal depression gradient of the cell sample and the actual depression area, actual depression depth and actual depression gradient of the cell to be tested.

8. The apparatus according to claim 7, characterized in that, The device further includes: The historical state determination module is used to determine the actual appearance state of each historical cell sample before the optimal depression parameter determination module determines the optimal depression area, optimal depression depth, and optimal depression gradient of each historical cell sample based on the mapping relationship between the actual depression area and the actual depression depth and the actual depression gradient of each historical cell sample, as well as the actual appearance state of each historical cell sample.

9. A computer device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the computer device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, they perform the steps of the cell appearance inspection method as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the cell appearance inspection method as described in any one of claims 1 to 6.

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