A deviation correction control method, device and equipment for battery cell production process

Abstract

The present application relates to a deviation correction control method, device and equipment for a battery cell production process. The deviation correction control method for the battery cell production process includes obtaining a processing data set of the battery cell production process, the processing data set includes a plurality of first processing data and a second processing data; performing calculations based on a plurality of first processing data in the processing data set to obtain first optimization data; performing calculations based on a plurality of second processing data in the processing data set to obtain second optimization data; performing processing based on the first optimization data and the second optimization data to obtain first deviation correction data or second deviation correction data; and correcting the battery cell production process based on the first deviation correction data or the second deviation correction data. The deviation correction control method for the battery cell production process sequentially performs data optimization, deviation correction processing and limiting filtering on the detected processing data set of the battery cell production process to obtain deviation correction data, and then corrects the corresponding process based on the deviation correction data to improve product processing quality.

Description

Technical Field

[0001] The present application relates to the technical field of processing correction, and in particular to a correction control method, device and equipment for a battery cell production process. Background Art

[0002] The integration of laser die-cutting and slitting machines with visual inspection is an important technological innovation in modern manufacturing. With its high-precision and high-efficiency laser cutting technology, laser die-cutting and slitting machines have become indispensable equipment in many industries, especially in the fields of lithium battery manufacturing and precision electronic component processing. The visual inspection system uses advanced image recognition and processing algorithms to achieve real-time monitoring and quality control of the production process. For example: The process flow of the laser die-cutting and slitting machine in the battery cell manufacturing production line includes: unwinding module with correction-tension detection-process correction-laser cutting of pole ears-traction main drive-air knife dust removal-CCD detection-pre-slitting correction-pole piece slitting-pole piece dust removal-bad labeling-winding module.

[0003] The existing visual inspection methods cannot meet the requirements of the correction process of laser cutting of the pole lugs and the correction before pole piece slitting. The correction accuracy is not high enough, which affects the quality of the pole lugs after laser die cutting and the quality of the pole pieces after pole piece slitting. Summary of the invention

[0004] The present application provides a deviation correction control method, device and equipment for a battery cell production process, which is used to solve the technical problem that the deviation correction data obtained by the existing laser die-cutting machine for processing battery tabs in high-speed scenarios is not accurate, resulting in poor quality of the tab laser forming.

[0005] In order to achieve the above objectives, this application provides the following technical solutions:

[0006] On the one hand, a correction control method for a battery cell production process is provided, comprising the following steps:

[0007] Acquire a processing data set of a cell production process, wherein the processing data set includes a plurality of first processing data and second processing data;

[0008] Calculate based on some of the first processed data in the processed data set to obtain first optimized data; calculate based on some of the second processed data in the processed data set to obtain second optimized data;

[0009] Processing the first optimization data and the second optimization data to obtain first correction data or second correction data;

[0010] Correct the battery cell production process according to the first correction data or the second correction data;

[0011] Among them, if the processing data set is a pole ear cutting depth data set, the first processing data is the first pole ear cutting depth, and the second processing data is the second pole ear cutting depth; if the processing data set is a pole piece strip width data set, the first processing data is the first strip pole piece width, and the second processing data is the second strip pole piece width.

[0012] Preferably, the first correction data or the second correction data is obtained by processing the first optimization data and the second optimization data, comprising:

[0013] Performing correction data processing according to the first optimized data and the second optimized data to obtain first processed data or second processed data;

[0014] The first processed data is subjected to a limiting filter process to obtain first corrected data corresponding to the first processed data, or the second processed data is subjected to a limiting filter process to obtain second corrected data corresponding to the second processed data.

[0015] Preferably, performing correction data processing according to the first optimized data and the second optimized data to obtain the first processed data or the second processed data includes:

[0016] Calculate according to the first optimization data and the second optimization data to obtain first processed data; or,

[0017] Obtain a standard value of the deflection correction data, and calculate according to the first optimization data, the second optimization data and the standard value of the deflection correction data to obtain second processed data.

[0018] Preferably, the deviation correction control method of the battery cell production process comprises: performing difference calculation on the first optimization data and the second optimization data to obtain a first difference value and using half of the first difference value as the first processing data; or,

[0019] The first optimized data is subtracted from the second optimized data to obtain a second difference, and half of the second difference is subtracted from the standard value of the correction data to obtain a third difference, and half of the third difference is used as the second processed data.

[0020] Preferably, performing calculations based on some of the first processed data in the processed data set to obtain first optimized data; performing calculations based on some of the second processed data in the processed data set to obtain second optimized data comprises:

[0021] Performing data amount judgment on some of the first processed data or some of the second processed data in the processed data set to obtain a first judgment result;

[0022] According to the first judgment result, the data volume is satisfied, filtering and extracting some of the first processed data or some of the second processed data in the processed data set by using a median filtering algorithm to obtain a first valid data set corresponding to the first processed data or a second valid data set corresponding to the second processed data;

[0023] Performing data volume determination on the first valid data set or the second valid data set to obtain a second determination result;

[0024] According to the second judgment result, the data volume is satisfied, and an average is calculated for the first valid data set or the second valid data set to obtain first optimized data corresponding to the first valid data set or second optimized data corresponding to the second valid data set.

[0025] In another aspect, a deviation correction control device for a battery cell production process is provided, comprising a data acquisition module, an optimization calculation module, a data processing module and a deviation correction execution module;

[0026] The data acquisition module is used to acquire a processing data set of a cell production process, wherein the processing data set includes a plurality of first processing data and second processing data;

[0027] The optimization calculation module is used to calculate according to some of the first processed data in the processed data set to obtain first optimized data; and to calculate according to some of the second processed data in the processed data set to obtain second optimized data;

[0028] The data processing module is used to process the first optimization data and the second optimization data to obtain first correction data or second correction data;

[0029] The correction execution module is used to correct the battery cell production process according to the first correction data or the second correction data;

[0030] Among them, if the processing data set is a pole ear cutting depth data set, the first processing data is the first pole ear cutting depth, and the second processing data is the second pole ear cutting depth; if the processing data set is a pole piece strip width data set, the first processing data is the first strip pole piece width, and the second processing data is the second strip pole piece width.

[0031] Preferably, the data processing module includes a first processing submodule and a second processing submodule;

[0032] The first processing submodule is used to perform correction data processing according to the first optimization data and the second optimization data to obtain first processed data or second processed data;

[0033] The second processing submodule is used to perform limiting filtering processing on the first processed data to obtain first corrected data corresponding to the first processed data, or to perform limiting filtering processing on the second processed data to obtain second corrected data corresponding to the second processed data.

[0034] Preferably, the first processing submodule is also used to obtain first processed data by calculation based on the first optimization data and the second optimization data; or, to obtain a standard value of correction data, and to obtain second processed data by calculation based on the first optimization data, the second optimization data and the standard value of correction data.

[0035] Preferably, the optimization calculation module includes a first judgment submodule, an effective extraction submodule, a second judgment submodule and a calculation submodule;

[0036] The first judgment submodule is used to judge the data volume of some of the first processed data or some of the second processed data in the processed data set to obtain a first judgment result;

[0037] The effective extraction submodule is used to filter and extract some of the first processed data or some of the second processed data in the processed data set by using a median filtering algorithm according to the first judgment result that the data volume is satisfied, so as to obtain a first effective data set corresponding to the first processed data or a second effective data set corresponding to the second processed data;

[0038] The second judgment submodule is used to judge the data volume of the first valid data set or the second valid data set to obtain a second judgment result;

[0039] The calculation submodule is used to perform average calculation on the first valid data set or the second valid data set to obtain first optimized data corresponding to the first valid data set or second optimized data corresponding to the second valid data set based on the second judgment result to meet the data volume.

[0040] In another aspect, a terminal device is provided, comprising a processor and a memory;

[0041] The memory is used to store program codes and transmit the program codes to the processor;

[0042] The processor is used to execute the above-mentioned deviation correction control method for the battery cell production process according to the instructions in the program code.

[0043] The deviation correction control method, device and equipment of the battery cell production process, the deviation correction control method of the battery cell production process includes obtaining a processing data set of the battery cell production process, the processing data set includes a plurality of first processing data and a second processing data; calculating according to a plurality of first processing data in the processing data set to obtain first optimization data; calculating according to a plurality of second processing data in the processing data set to obtain second optimization data; processing according to the first optimization data and the second optimization data to obtain first deviation correction data or second deviation correction data; correcting the battery cell production process according to the first deviation correction data or the second deviation correction data; wherein, if the processing data set is a pole ear cutting depth data set, the first processing data is the first pole ear cutting depth, and the second processing data is the second pole ear cutting depth; if the processing data set is a pole piece strip width data set, the first processing data is the first strip pole piece width, and the second processing data is the second strip pole piece width.

[0044] It can be seen from the above technical scheme that the present application has the following advantages: the deviation correction control method of the battery cell production process obtains deviation correction data by performing data optimization, deviation correction processing, and limiting filtering on the detected processing data set of the battery cell production process in sequence, and then corrects the corresponding process according to the deviation correction data to improve the product processing quality, and solves the technical problem that the deviation correction data obtained by the existing laser die-cutting machine for processing battery tabs in high-speed scenarios is not accurate, resulting in poor quality of the tab laser forming.

[0045] The deviation correction control device of the battery cell production process realizes deviation correction of the processed products of the process through four modules: data acquisition module, optimization calculation module, data processing module and deviation correction execution module, thereby improving the processing accuracy and the processing quality of the processed products. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0047] Figure 1 This is a flow chart of the steps of the deviation correction control method of the battery cell production process described in the embodiment of the present application;

[0048] Figure 2 It is a schematic diagram of the framework of the deviation correction control method of the battery cell production process described in the embodiment of the present application;

[0049] Figure 3 A schematic diagram of a battery cell production process in a deviation correction control method for a battery cell production process according to an embodiment of the present application;

[0050] Figure 4 It is a schematic diagram of collecting the tabs in the deviation correction control method of the battery cell production process described in the embodiment of the present application;

[0051] Figure 5 It is a flow chart of data optimization calculation in the deviation correction control method of the battery cell production process described in the embodiment of the present application;

[0052] Figure 6 It is a schematic diagram of the framework of the deviation correction control device of the battery cell production process described in the embodiment of the present application;

[0053] Figure 7 A schematic diagram of a terminal device described in an embodiment of the present application. DETAILED DESCRIPTION

[0054] In order to make the purpose, features, and advantages of the invention of this application more obvious and easy to understand, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the embodiments described below are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0055] In the description of the embodiments of the present application, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present application, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0056] In the embodiments of the present application, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0057] The embodiments of the present application provide a deviation correction control method, device and equipment for a battery cell production process, which solves the technical problem that the deviation correction data obtained by the existing laser die-cutting machine for processing battery tabs in high-speed scenarios is not accurate, resulting in poor quality of the tab laser forming.

[0058] Embodiment 1:

[0059] Figure 1 This is a flow chart of the steps of the deviation correction control method of the battery cell production process described in the embodiment of the present application. Figure 2 Schematic diagram of the framework of the deviation correction control method for the battery cell production process described in the embodiment of the present application, Figure 3 Schematic diagram of a cell production process in a deviation correction control method for a cell production process according to an embodiment of the present application, Figure 4 This is a schematic diagram of collecting the tabs in the deviation correction control method of the battery cell production process described in an embodiment of the present application.

[0060] like Figure 1 and Figure 2 As shown, the embodiment of the present application provides a deviation correction control method for a battery cell production process, comprising the following steps:

[0061] S1. Obtain a processing data set of a cell production process, the processing data set includes a plurality of first processing data and second processing data. If the cell production process is a cell tab cutting production process, the processing data set obtained is a tab cutting depth data set, the first processing data is the first tab cutting depth, and the second processing data is the second tab cutting depth. If the cell production process is a cell pole piece cutting production process, the processing data set is a pole piece strip width data set, the first processing data is the first strip pole piece width, and the second processing data is the second strip pole piece width.

[0062] It should be noted that, during the laser die-cutting process, the deflection corrector needs to collect the data of the cutting depth of the pole ear, and during the laser slitting process, it is necessary to collect the data of the width of the strip pole piece. In step S1, the processing data set of the battery cell production process is obtained to provide data for the subsequent steps. In this embodiment, Figure 3 and Figure 4 As shown, the closed-loop data collection when measuring the size of the pole ear can be obtained by a CCD camera or a camera. Try not to collect the top of the pole ear. This is because the pole ear must be bent to varying degrees during actual operation, which can easily cause unstable correction. Preferably, you can refer to Figure 4 The lug detection position shown in the figure is used to collect several lug penetration depth data to form a lug penetration depth data set. In order to improve the accuracy of the detection data, the first stripe pole piece width and the second stripe pole piece width correspond to Figure 3 W1 and W2 shown. Figure 4 As shown in , if the first tab cutting depth or the second tab cutting depth is the negative tab, the collected data is as follows Figure 4 G- shown in the left figure, if the first pole ear cutting depth or the second pole ear cutting depth is the positive pole ear, the collected data is as follows Figure 4 G+ as shown in the right figure. Figure 3 and Figure 4As shown, after laser cutting, the stripped pole pieces on both sides formed can be the first stripped pole piece and the second stripped pole piece. In the closed-loop correction process before cutting, the corresponding pole piece stripping widths, such as W1 corresponds to the first stripped pole piece width, and W2 corresponds to the second stripped pole piece width.

[0063] In one embodiment of the present application, before step S1, the correction control method of the battery cell production process obtains the collection conditions of the processing data set of the battery cell production process including light intensity, temperature, shooting angle and distance, etc.

[0064] S2. Calculate based on a number of first processing data in the processing data set to obtain first optimized data; calculate based on a number of second processing data in the processing data set to obtain second optimized data. Wherein, if the processing data set is a data set of lug penetration depth, the first optimized data is the first lug optimized depth, and the second optimized data is the second lug optimized depth; if the processing data set is a data set of pole piece strip width, the first optimized data is the first strip optimized width, and the second optimized data is the second strip optimized width.

[0065] It should be noted that in step S2, optimization calculation is performed based on the processed data set collected in step S1 to obtain optimized first optimization data and second optimization data.

[0066] S3. Process the first optimized data and the second optimized data to obtain the first deviation correction data or the second deviation correction data.

[0067] It should be noted that in step S3, the first optimization data and the second optimization data obtained in step S2 are first processed for correction data, and then the processed data are processed according to the set limit to obtain correction data. In this embodiment, in step S3, two processing methods can be used to obtain correction data according to the first optimization data and the second optimization data obtained in step S2 to meet the needs of different processing scenarios. Among them, the limit after processing the first optimization data and the second optimization data can be understood as an operation to limit the range of the data.

[0068] S4. Correct the cell production process according to the first correction data or the second correction data. If the cell production process is a cell tab cutting process, the first correction data or the second correction data obtained after processing the tab cutting depth data set can be used to correct the cell tab cutting process; if the cell production process is a cell pole piece cutting process, the first correction data or the second correction data obtained after processing the pole piece strip width data set can be used to correct the cell pole piece cutting process.

[0069] It should be noted that in step S4, the corresponding process is corrected by using the corresponding correction equipment according to the data processed in step S3 to meet the processing requirements of the battery cell production process. In this embodiment, if the battery cell production process is the process of cutting the battery cell pole tabs, the first correction data obtained after processing the pole tab cutting depth data set can be used to correct the cutting battery cell pole tab production process by using a correction device, or the second correction data obtained after processing the pole tab cutting depth data set can be used to correct the cutting battery cell pole tab production process by using a laser head; if the battery cell production process is the process of cutting the battery cell pole piece, the first correction data obtained after processing the pole piece strip width data set can be used to correct the cutting battery cell pole piece production process by using a correction device, or the second correction data obtained after processing the pole piece strip width data set can be used to correct the cutting battery cell pole piece production process by using a laser head.

[0070] In an embodiment of the present application, the correction control method of the battery cell production process can be applied in a visual inspection scenario through the data processing of steps S1 to S3. The data processing of steps S1 to S3 can improve the accuracy of visual inspection. The correction control method of the battery cell production process can be used to correct the processing technology of the processed product and improve the processing quality of the processed product.

[0071] The present application provides a deviation correction control method for a battery cell production process, comprising obtaining a processing data set of the battery cell production process, the processing data set comprising a plurality of first processing data and a second processing data; performing calculations based on a plurality of first processing data in the processing data set to obtain first optimization data; performing calculations based on a plurality of second processing data in the processing data set to obtain second optimization data; performing processing based on the first optimization data and the second optimization data to obtain first deviation correction data or second deviation correction data; performing deviation correction on the battery cell production process based on the first deviation correction data or the second deviation correction data; wherein, if the processing data set is a pole ear cutting depth data set, the first processing data is the first pole ear cutting depth, and the second processing data is the second pole ear cutting depth; if the processing data set is a pole piece strip width data set, the first processing data is the first strip pole piece width, and the second processing data is the second strip pole piece width. The deviation correction control method for the battery cell production process performs data optimization, deviation correction processing, and limiting filtering on the detected processing data set of the battery cell production process in sequence to obtain deviation correction data, and then corrects the corresponding process according to the deviation correction data to improve the product processing quality; it solves the technical problem that the deviation correction data obtained by the existing laser die-cutting machine for processing battery tabs in high-speed scenarios is not accurate, resulting in poor quality of tab laser forming.

[0072] like Figure 2 As shown, in one embodiment of the present application, the first correction data or the second correction data is obtained by processing the first optimization data and the second optimization data, including:

[0073] Performing deviation correction data processing according to the first optimized data and the second optimized data to obtain first processed data or second processed data;

[0074] Performing a limiting filter process on the first processed data to obtain first corrected data corresponding to the first processed data, or performing a limiting filter process on the second processed data to obtain second corrected data corresponding to the second processed data;

[0075] The step of performing the correction data processing according to the first optimized data and the second optimized data to obtain the first processed data or the second processed data includes:

[0076] Calculate according to the first optimization data and the second optimization data to obtain first processed data; or,

[0077] Obtain a standard value of the deflection correction data, and calculate according to the first optimized data, the second optimized data and the standard value of the deflection correction data to obtain second processed data.

[0078] It should be noted that the first optimized data and the second optimized data are subjected to difference calculation to obtain a first difference value and one-half of the first difference value is used as the first processed data; or, the first optimized data and the second optimized data are subjected to difference calculation to obtain a second difference value, one-half of the second difference value and the standard value of the correction data are subjected to difference calculation to obtain a third difference value and one-half of the third difference value is used as the second processed data. In this embodiment, in the correction control method of the battery cell production process, during the correction data processing of the optimized data, after obtaining the first optimized data G1 and the second optimized data G2 through step S2, the difference calculation is first performed to obtain the first difference value and one-half of the first difference value is used as the first processed data, which can be understood as the first processed data = (G1-G2) / 2, and then the first processed data is processed according to the set limit range to obtain the corresponding first correction data, and finally the correction device is used to correct the battery cell production process according to the first correction data to improve the accuracy of cutting the pole ear in the battery cell production process. Or, through step S2, the first optimization data G1, the second optimization data G2 and the correction data standard value Gset are obtained to calculate the third difference and use half of the third difference as the second processed data, which can be understood as the second processed data = ((G1-G2) / 2-Gset) / 2, and then the second processed data is processed according to the set limit range to obtain the corresponding second correction data, and finally the laser head is used to correct the battery cell production process according to the second correction data to improve the accuracy of cutting the electrode in the battery cell production process.

[0079] Figure 5 This is a flow chart of data optimization calculation in the deviation correction control method of the battery cell production process described in an embodiment of the present application.

[0080] like Figure 5As shown, in one embodiment of the present application, calculating according to a plurality of first processed data in the processed data set to obtain first optimized data; calculating according to a plurality of second processed data in the processed data set to obtain second optimized data includes:

[0081] Performing data volume judgment on a plurality of first processed data or a plurality of second processed data in the processed data set to obtain a first judgment result;

[0082] According to the first judgment result, in order to meet the data volume, a plurality of first processed data or a plurality of second processed data in the processed data set are filtered and extracted by using a median filtering algorithm to obtain a first valid data set corresponding to the first processed data or a second valid data set corresponding to the second processed data;

[0083] Performing data volume judgment on the first valid data set or the second valid data set to obtain a second judgment result;

[0084] According to the second judgment result, in order to meet the data volume, the first valid data set or the second valid data set is averaged to obtain first optimized data corresponding to the first valid data set or second optimized data corresponding to the second valid data set.

[0085] It should be noted that, in this embodiment, the data volume judgment can set the data volume according to the demand. In the process of optimizing the data calculation, the first data volume is first determined to determine whether the number of first processed data or second processed data contained in the processed data set meets the first data volume. If it meets the requirement, the processed data set is extracted using the median filter algorithm to obtain the corresponding valid data. Then, the number of data contained in the valid data meets the second data volume. If it meets the requirement, the valid data that meets the data volume judgment is averaged to obtain the optimized data. If the data volume does not meet the requirement during the data volume judgment, the data is re-acquired and re-calculated through step S1. The median filter algorithm is a relatively mature technology in this field, and the specific content of the median filter algorithm is not elaborated in detail in this embodiment.

[0086] Embodiment 2:

[0087] Figure 6 It is a schematic framework diagram of the deviation correction control device for the battery cell production process described in an embodiment of the present application.

[0088] like Figure 6 As shown, the embodiment of the present application provides a deviation correction control device for a battery cell production process, including a data acquisition module 10, an optimization calculation module 20, a data processing module 30 and a deviation correction execution module 40;

[0089] A data acquisition module 10 is used to acquire a processing data set of a cell production process, where the processing data set includes a plurality of first processing data and second processing data;

[0090] The optimization calculation module 20 is used to calculate based on a plurality of first processed data in the processed data set to obtain first optimized data; and to calculate based on a plurality of second processed data in the processed data set to obtain second optimized data;

[0091] A data processing module 30, configured to process the first optimization data and the second optimization data to obtain first correction data or second correction data;

[0092] A deviation correction execution module 40, configured to correct the deviation of a cell production process according to the first deviation correction data or the second deviation correction data;

[0093] Among them, if the processing data set is a pole ear cutting depth data set, the first processing data is the first pole ear cutting depth, and the second processing data is the second pole ear cutting depth; if the processing data set is a pole piece strip width data set, the first processing data is the first strip pole piece width, and the second processing data is the second strip pole piece width.

[0094] It should be noted that the module content of the correction control device of the battery cell production process corresponds to the content of the steps in the method of Example 1. Example 1 has already described the step content of the correction control method of the battery cell production process in detail, and this embodiment will not repeat the module content of the correction control device of the battery cell production process. The correction control device of the battery cell production process corrects the process product through four modules, namely, the data acquisition module 10, the optimization calculation module 20, the data processing module 30 and the correction execution module 40, so as to improve the processing accuracy and the processing quality of the processed product.

[0095] In the embodiment of the present application, the data processing module 30 includes a first processing submodule and a second processing submodule;

[0096] A first processing submodule, used for performing correction data processing according to the first optimized data and the second optimized data to obtain first processed data or second processed data;

[0097] The second processing submodule is used to perform limiting filtering processing on the first processed data to obtain first corrected data corresponding to the first processed data, or to perform limiting filtering processing on the second processed data to obtain second corrected data corresponding to the second processed data.

[0098] In an embodiment of the present application, the first processing submodule is also used to calculate based on the first optimization data and the second optimization data to obtain the first processed data; or, to obtain the standard value of the correction data, and to calculate based on the first optimization data, the second optimization data and the standard value of the correction data to obtain the second processed data.

[0099] In the embodiment of the present application, the optimization calculation module 20 includes a first judgment submodule, an effective extraction submodule, a second judgment submodule and a calculation submodule;

[0100] A first judgment submodule is used to judge the data volume of a plurality of first processed data or a plurality of second processed data in the processed data set to obtain a first judgment result;

[0101] The effective extraction submodule is used to filter and extract a plurality of first processed data or a plurality of second processed data in the processed data set by using a median filtering algorithm to obtain a first effective data set corresponding to the first processed data or a second effective data set corresponding to the second processed data according to the first judgment result to meet the data volume;

[0102] A second judgment submodule is used to judge the data volume of the first valid data set or the second valid data set to obtain a second judgment result;

[0103] The calculation submodule is used to calculate the average of the first valid data set or the second valid data set to meet the data volume according to the second judgment result, so as to obtain the first optimized data corresponding to the first valid data set or the second optimized data corresponding to the second valid data set.

[0104] Embodiment three:

[0105] Figure 7 A schematic diagram of a terminal device described in an embodiment of the present application.

[0106] like Figure 7 As shown, an embodiment of the present application provides a terminal device, including a processor and a memory;

[0107] A memory, used for storing program codes and transmitting the program codes to a processor;

[0108] The processor is used to execute the above-mentioned deviation correction control method for the battery cell production process according to the instructions in the program code.

[0109] It should be noted that the processor is used to execute the steps in the above-mentioned embodiment of the deviation correction control method for a battery cell production process according to the instructions in the program code. Alternatively, the processor implements the functions of each module / unit in the above-mentioned system / device embodiments when executing the computer program.

[0110] Exemplarily, the computer program may be divided into one or more modules / units, one or more modules / units are stored in a memory and executed by a processor to complete the present application. One or more modules / units may be a series of computer program instruction segments capable of completing a specific function, and the instruction segments are used to describe the execution process of the computer program in a terminal device.

[0111] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that this does not constitute a limitation on the terminal device, and may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device may also include input and output devices, network access devices, buses, etc.

[0112] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (dSIC), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0113] The memory may be an internal storage unit of the terminal device, such as a hard disk or memory of the terminal device. The memory may also be an external storage device of the terminal device, such as a plug-in hard disk, a smart memory card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal device. Furthermore, the memory may include both an internal storage unit of the terminal device and an external storage device. The memory is used to store computer programs and other programs and data required by the terminal device. The memory may also be used to temporarily store data that has been output or is to be output.

[0114] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0115] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0116] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0117] In addition, each functional unit in each embodiment of the present application 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. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0118] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or 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, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0119] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A deviation correction control method for a battery cell production process, characterized in that: The following steps are involved: Acquire a processing data set of a cell production process, wherein the processing data set includes a plurality of first processing data and second processing data; Calculate based on some of the first processed data in the processed data set to obtain first optimized data; calculate based on some of the second processed data in the processed data set to obtain second optimized data; Processing the first optimization data and the second optimization data to obtain first correction data or second correction data; Correct the battery cell production process according to the first correction data or the second correction data; Among them, if the processing data set is a pole ear cutting depth data set, the first processing data is the first pole ear cutting depth, and the second processing data is the second pole ear cutting depth; if the processing data set is a pole piece strip width data set, the first processing data is the first strip pole piece width, and the second processing data is the second strip pole piece width.

2. The deviation correction control method for the battery cell production process according to claim 1, characterized in that: Processing the first optimization data and the second optimization data to obtain first correction data or second correction data includes: Performing correction data processing according to the first optimized data and the second optimized data to obtain first processed data or second processed data; The first processed data is subjected to a limiting filter process to obtain first corrected data corresponding to the first processed data, or the second processed data is subjected to a limiting filter process to obtain second corrected data corresponding to the second processed data.

3. The deviation correction control method for the battery cell production process according to claim 2, characterized in that: Performing correction data processing according to the first optimized data and the second optimized data to obtain first processed data or second processed data includes: Calculate according to the first optimization data and the second optimization data to obtain first processed data; or, Obtain a standard value of the deflection correction data, and calculate according to the first optimization data, the second optimization data and the standard value of the deflection correction data to obtain second processed data.

4. The deviation correction control method for the battery cell production process according to claim 3, characterized in that: include: Calculate the difference between the first optimized data and the second optimized data to obtain a first difference value and use half of the first difference value as first processed data; or, The first optimized data is subtracted from the second optimized data to obtain a second difference, and half of the second difference is subtracted from the standard value of the correction data to obtain a third difference, and half of the third difference is used as the second processed data.

5. The deviation correction control method for the battery cell production process according to claim 1, characterized in that: Calculating according to some of the first processed data in the processed data set to obtain first optimized data; calculating according to some of the second processed data in the processed data set to obtain second optimized data includes: Performing data amount judgment on some of the first processed data or some of the second processed data in the processed data set to obtain a first judgment result; According to the first judgment result, the data volume is satisfied, filtering and extracting some of the first processed data or some of the second processed data in the processed data set by using a median filtering algorithm to obtain a first valid data set corresponding to the first processed data or a second valid data set corresponding to the second processed data; Performing data volume determination on the first valid data set or the second valid data set to obtain a second determination result; According to the second judgment result, the data volume is satisfied, and an average is calculated for the first valid data set or the second valid data set to obtain first optimized data corresponding to the first valid data set or second optimized data corresponding to the second valid data set.

6. A deviation correction control device for a battery cell production process, characterized in that: It includes a data acquisition module, an optimization calculation module, a data processing module and a deviation correction execution module; The data acquisition module is used to acquire a processing data set of a cell production process, wherein the processing data set includes a plurality of first processing data and second processing data; The optimization calculation module is used to calculate according to some of the first processed data in the processed data set to obtain first optimized data; and to calculate according to some of the second processed data in the processed data set to obtain second optimized data; The data processing module is used to process the first optimization data and the second optimization data to obtain first correction data or second correction data; The correction execution module is used to correct the battery cell production process according to the first correction data or the second correction data; Among them, if the processing data set is a pole ear cutting depth data set, the first processing data is the first pole ear cutting depth, and the second processing data is the second pole ear cutting depth; if the processing data set is a pole piece strip width data set, the first processing data is the first strip pole piece width, and the second processing data is the second strip pole piece width.

7. The deviation correction control device for the battery cell production process according to claim 6, characterized in that: The data processing module includes a first processing submodule and a second processing submodule; The first processing submodule is used to perform correction data processing according to the first optimization data and the second optimization data to obtain first processed data or second processed data; The second processing submodule is used to perform limiting filtering processing on the first processed data to obtain first corrected data corresponding to the first processed data, or to perform limiting filtering processing on the second processed data to obtain second corrected data corresponding to the second processed data.

8. The deviation correction control device for the battery cell production process according to claim 7, characterized in that: The first processing submodule is also used to calculate based on the first optimization data and the second optimization data to obtain first processed data; or, obtain a standard value of correction data, and calculate based on the first optimization data, the second optimization data and the standard value of correction data to obtain second processed data.

9. The deviation correction control device for the battery cell production process according to claim 6, characterized in that: The optimization calculation module includes a first judgment submodule, an effective extraction submodule, a second judgment submodule and a calculation submodule; The first judgment submodule is used to judge the data volume of some of the first processed data or some of the second processed data in the processed data set to obtain a first judgment result; The effective extraction submodule is used to filter and extract some of the first processed data or some of the second processed data in the processed data set by using a median filtering algorithm according to the first judgment result that the data volume is satisfied, so as to obtain a first effective data set corresponding to the first processed data or a second effective data set corresponding to the second processed data; The second judgment submodule is used to judge the data volume of the first valid data set or the second valid data set to obtain a second judgment result; The calculation submodule is used to perform average calculation on the first valid data set or the second valid data set to obtain first optimized data corresponding to the first valid data set or second optimized data corresponding to the second valid data set based on the second judgment result to meet the data volume.

10. A terminal device, characterized in that: including a processor and a memory; The memory is used to store program codes and transmit the program codes to the processor; The processor is used to execute the correction control method for the battery cell production process as described in any one of claims 1 to 5 according to the instructions in the program code.

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