Battery shell aluminum round piece stamping production line intelligent control method

Abstract

The present application relates to the field of regulation control system, specifically relates to a kind of battery shell aluminum round piece stamping production line intelligent control method, comprising: according to the difference amount of elastic deformation component and the overall thickness of sheet metal at different time in tension test stamping sequence, the actual reference weight of elasticity is calculated;In the profile official stamping sequence, the proportional relationship of sheet metal width and sheet metal thickness relative to sheet metal stamping data is weighted and fused with the actual reference weight of elasticity, and the plastic warping component is calculated;Further, the flatness risk index of battery shell sheet metal is calculated;In the forming return stroke stamping sequence, the overall fluctuation stable state and overall stamping unloading slope of sheet metal stamping data are combined to calculate the stamping quality evaluation degree;The flatness risk index is combined with the stamping quality evaluation degree, and the intelligent control of battery shell aluminum round piece stamping production line is carried out.The present application improves the efficiency of intelligent control of battery shell aluminum round piece stamping production line.

Description

Technical Field

[0001] This invention relates to the field of regulation and control systems, and specifically to an intelligent control method for a battery casing aluminum disc stamping production line. Background Technology

[0002] Against the backdrop of the rapid development of the new energy vehicle industry, the battery casing, as a key structural component of power batteries, directly impacts battery safety and cost due to its manufacturing precision and production efficiency. Aluminum disc stamping is a core process in battery casing production, typically consisting of a continuous production line comprised of a feeder, a precision leveler, and a servo press. However, traditional production lines often employ independent control of each piece of equipment, lacking coordination between leveling parameters, feeding and layout, and the stamping process. This makes it difficult to address quality risks arising from fluctuations in incoming materials and changes in mold conditions. Existing technologies typically generate multiple sets of relevant training data by setting experimental conditions. By integrating and training these related data, the characteristics of the same material during battery casing production can be obtained, thereby achieving intelligent control of the aluminum disc stamping production line for battery casings.

[0003] However, this training method usually only considers the energy relationship curve formed by the stamping force-material displacement curve during the actual stamping process and performs correlation training analysis. It does not consider the influence of the stamping force on the material in other processes (such as during the unloading of the slider) on the forming of the material shell, resulting in unsatisfactory training effect, which in turn leads to a reduction in the efficiency of intelligent control of the aluminum disc stamping production line for battery shells. Summary of the Invention

[0004] This invention provides an intelligent control method for a battery casing aluminum disc stamping production line to solve existing problems.

[0005] The intelligent control method for a battery casing aluminum disc stamping production line of the present invention adopts the following technical solution: Includes the following steps: The tension test stamping sequence, the outline formal stamping sequence, and the forming return stamping sequence of the battery casing sheet are obtained; each of the tension test stamping sequence, the outline formal stamping sequence, and the forming return stamping sequence contains multiple moments, and each moment corresponds to a sheet stamping data, a sheet width, and a sheet thickness. The proportional relationship between sheet width and sheet thickness relative to the sheet stamping data at each moment is used as the elastic deformation component at each moment. Based on the difference between the elastic deformation component and the overall sheet thickness at different moments in the tension test stamping sequence, the gap between the battery casing sheet and the theoretical sinusoidal variation fluctuation when elastic deformation occurs is analyzed, and the actual reference weight of the elasticity of the battery casing sheet is calculated. In the formal contour stamping sequence, the proportional relationship between sheet width and sheet thickness relative to the sheet stamping data is weighted and integrated with the actual reference weight of elasticity to analyze the degree of material warping when the battery casing sheet is formally stamped, and several plastic warping components of the battery casing sheet are calculated. The flatness risk index of the battery casing sheet is calculated by weighted averaging of all plastic warping components. Within the forming return stamping sequence, the overall fluctuation stability of the sheet stamping data and the overall stamping unloading slope are combined to calculate the stamping quality assessment degree of the battery casing sheet. By combining planar risk indicators with stamping quality assessment, an intelligent control weight coefficient is constructed, thereby enabling intelligent control of the aluminum disc stamping production line for battery casings.

[0006] Preferably, the method for obtaining the elastic deformation component is as follows: Take any given moment as the target moment, and use the product of the sheet thickness and sheet width at the target moment as the outer dimensions of the shell at the target moment; use the ratio of the sheet stamping data at the target moment to the outer dimensions of the shell as the elastic deformation component at the target moment.

[0007] Preferably, the method for obtaining the actual reference weight of the elasticity is as follows: The tension test stamping sequence includes a free time period during which the sheet metal stamping data value is continuously 0 without stamping. Within the tension test stamping sequence, the overall change and fluctuation value of the sheet thickness during the free time period without stamping is taken as the total elasticity of the tension test stamping sequence; the elastic deformation components at the corresponding time of different sheet stamping data in time periods other than the free time period without stamping are taken as several working elasticities of the tension test stamping sequence; the difference between each working elasticity and the total elasticity is iterated, and the iterated and fitted values ​​are taken as the actual reference weight of the elasticity of the battery casing sheet.

[0008] Preferably, the method for obtaining the plastic warpage component is as follows: Within the formal stamping sequence of the profile, the flatness of the formal stamping sequence is calculated by taking into account the stable state of the overall fluctuation of the sheet thickness. Within the formal stamping sequence of the profile, the product of the actual reference weight of elasticity and the elastic deformation component at each moment is taken as the profile elastic deformation component at each moment; the difference between the flatness and the profile elastic deformation component at different moments is taken as several plastic warping components of the battery casing sheet.

[0009] Preferably, the method for obtaining the flatness is as follows: The standard deviation of the sheet thickness within the formal stamping sequence of the profile is used as the flatness of the formal stamping sequence of the profile.

[0010] Preferably, the method for obtaining the flatness risk index is as follows: Within the formal stamping sequence of the profile, the difference in the plastic warping component between adjacent moments is taken as the random fluctuation of the profile plane at adjacent moments; each random fluctuation of the profile plane is smoothed and weighted, and the weighted value is taken as the profile plane fluctuation weight value at adjacent moments; the ratio of the overall average value of the profile plane fluctuation weight value to the preset plane reference threshold is taken as the flatness risk index of the battery casing sheet.

[0011] Preferably, the method for obtaining the stamping quality assessment degree is as follows: The forming return stamping sequence includes two time periods in sequence: the time period when the mold is fully closed and the time period when the unloading slider returns. By analyzing the overall fluctuation stability of sheet metal stamping data during the period when the die is fully closed, the stamping dead zone standard during the period when the die is fully closed is calculated. By analyzing the trend relationship between the punching force and the slider displacement during the unloading slider return time, the average slope of the unloading segment curve during the unloading slider return time is calculated. The sheet metal stamping data during the complete die closure period and the unloading slider return period are smoothed and fitted separately. The fitted data segments are used as the stamping data segments during the complete die closure period and the stamping data segments during the unloading slider return period, respectively. The two-dimensional coordinate points constructed by combining the stamping dead zone standard of the complete die closure period and the average slope of the unloading segment curve of the unloading slider return period are used as the ideal quality coordinate points of the forming return stamping sequence. The two-dimensional coordinate points constructed by combining the stamping dead zone standard of the complete die closure period and the average slope of the unloading segment curve during the unloading slider return period are used as the actual quality coordinate points of the forming return stamping sequence. The inverse proportional value of the distance between the ideal quality coordinate points and the actual quality coordinate points is used as the stamping quality evaluation degree of the battery casing sheet metal.

[0012] Preferably, the method for obtaining the stamping dead zone standard is as follows: The standard deviation of sheet metal stamping data during the period when the mold is fully closed is used as the stamping dead zone standard during the period when the mold is fully closed.

[0013] Preferably, the method for obtaining the average slope of the unloading section curve is as follows: The average slope of the sheet metal stamping data during the unloading slider return time period is used as the average slope of the unloading segment curve during the unloading slider return time period.

[0014] Preferably, the method for obtaining the intelligent control weight coefficient is as follows: The product of the planar risk index and the stamping quality assessment degree is used as the intelligent control weighting coefficient for battery casing sheet material.

[0015] The beneficial effects of the technical solution of this invention are as follows: This invention obtains the tension test stamping sequence, the contour formal stamping sequence, and the forming return stamping sequence of battery casing sheet material. By dividing the entire stamping process of the battery casing sheet material into stages to obtain the corresponding sequences, it enriches the original single analysis object of the battery casing and provides more reasonable data samples for subsequent training results. Then, based on the difference between the elastic deformation component and the overall sheet thickness at different times in the tension test stamping sequence, it analyzes the gap between the elastic deformation of the battery casing sheet material and the theoretical sinusoidal change fluctuation, and calculates the actual reference weight of elasticity. In the contour formal stamping sequence... Within the model, the proportional relationship between sheet width and sheet thickness relative to sheet stamping data is weighted and integrated with the actual elastic reference weight to analyze the degree of material warping during the actual stamping of the battery casing sheet, calculating several plastic warping components. Then, the flatness risk index of the battery casing sheet is comprehensively calculated, separating the plastic warping component from the measured flatness based on the elastic fundamental quantity model, reducing the interference of elastic deformation caused by tension. Finally, the overall fluctuation stability state of the sheet stamping data and the overall stamping unloading slope are combined to calculate the stamping quality assessment degree of the battery casing sheet, making the evaluation of battery casing quality more accurate and reliable. This invention analyzes the shell forming correlation between the stamping pressure on the sheet and sheet forming in different stages by dividing the entire stamping process of the battery casing sheet into stages, and connects the stamping forming relationships between different stages, making the training data related to the same process more valuable, improving the accuracy of the characteristic analysis results of the same material used to manufacture battery casings, and improving the efficiency of intelligent control of the battery casing aluminum disc stamping production line. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1This is a flowchart illustrating the steps of an intelligent control method for a battery casing aluminum disc stamping production line according to the present invention. Detailed Implementation

[0018] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of an intelligent control method for a battery casing aluminum disc stamping production line proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0020] The following description, in conjunction with the accompanying drawings, details the specific scheme of an intelligent control method for a battery casing aluminum disc stamping production line provided by the present invention.

[0021] Please see Figure 1 The diagram illustrates a flowchart of a smart control method for a battery casing aluminum disc stamping production line according to an embodiment of the present invention. The method includes the following steps: Step S001: Obtain the tension test stamping sequence, the outline formal stamping sequence, and the forming return stamping sequence of the battery casing sheet material; the tension test stamping sequence, the outline formal stamping sequence, and the forming return stamping sequence all contain multiple moments, and each moment corresponds to a sheet material stamping data, a sheet material width, and a sheet material thickness.

[0022] It should be noted that traditional training methods usually only consider the energy relationship curve formed by the stamping force-material displacement curve during the actual stamping process and perform correlation training analysis. They do not consider the influence of the stamping force on the material in other processes (such as during the unloading of the slider) on the forming of the material shell, resulting in unsatisfactory training effects and consequently reduced efficiency in intelligent control of the aluminum disc stamping production line for battery shells.

[0023] It should also be noted that the intelligent control method for the aluminum disc stamping production line for battery casings proposed in this embodiment relies on the intelligent control system of the aluminum disc stamping production line for battery casings, which includes four modules: a data acquisition module, a central processing module, an instruction execution module, and a data storage module. 1. Data Acquisition Module: A linear laser sensor installed at the leveling machine outlet collects data on the sheet width and height; a force sensor installed on the servo press slider collects sheet stamping data. 2. Central Processing Module: An industrial computer or high-performance PLC receives sensor data from the data acquisition module and runs the intelligent control algorithm of this invention. 3. Instruction Execution Module: The central processing module sends the new parameters calculated by the central processing module to the servo driver of the feeder and the controller of the servo press via an industrial network. 4. Data Storage Module: Used to store historical production data for algorithm learning and updates.

[0024] In one specific implementation of this invention, the method for obtaining the tension test stamping sequence, the contour formal stamping sequence, and the forming return stamping sequence is as follows: At the exit roller conveyor of the precision leveler, the sheet metal is... The material is advanced at a speed such that as it passes, the sensor moves accordingly. The frequency scans the cross-section of the sheet metal, first controlling the stamping press to stop running. After a certain period of time, start the stamping machine and begin pressing in steps of a certain size. It began to progress continuously to The duration remains constant until the slider begins its return journey, at which point the duration is recalculated. The process continues until the slider completes its return stroke, thus completing one full simulated production test of the aluminum disc for the battery casing. Throughout the process, sensors continuously collect relevant data and store it in the data storage module. This embodiment uses... m / s, kHz, s, 1 ton This description uses tons as an example; no specific limitations are set in this embodiment. , , , , This can be determined based on the specific implementation details. Additionally, in this embodiment... The process involves human intervention and is significantly affected by human factors; therefore, this embodiment focuses on… The example given is s, and the specific value depends on the specific implementation.

[0025] It should be noted that a complete simulated production test of the aluminum discs for the battery casing includes three main stages: controlling the stamping press to stop running. After a certain period of time, start the stamping machine and begin pressing in steps of a certain size. It began to progress continuously to This process is called the tension test stamping stage, which is a test before the sheet metal is officially stamped. The time sequence of this stage is called the tension test stamping sequence. The process remains constant until the slider begins its return stroke; this is the formal contour stamping stage, where the sheet metal is formally stamped. The time sequence of this stage is taken as the formal contour stamping sequence. The time is recalculated when the slider begins its return stroke. The process continues until the slider completes its return stroke; this process is the forming return stamping stage, which is the final stage of the entire process of extruding material and unloading the die. The time sequence of this stage is called the forming return stamping sequence. The tension test stamping sequence, the contour formal stamping sequence, and the forming return stamping sequence all contain multiple moments, each moment corresponding to a sheet metal stamping data, a sheet metal width, and a sheet metal thickness.

[0026] It should be further noted that in the forming return stamping sequence, this embodiment takes the first 10% of the sequence as the mold complete closing time period and the last 90% of the sequence as the unloading slider return time period. The time division of the mold complete closing time period and the unloading slider return time period can be determined according to the actual situation, which will not be elaborated in this embodiment.

[0027] It should also be noted that, unless otherwise specified, this embodiment will use any one of the battery casing aluminum discs from the historical records stored in the data storage module as an example to illustrate the complete simulated production test process.

[0028] Thus, the above methods yielded the tension testing stamping sequence, the contour formal stamping sequence, and the forming return stamping sequence for the battery casing sheet.

[0029] Step S002: The proportional relationship between sheet width and sheet thickness relative to the sheet stamping data at each moment is used as the elastic deformation component at each moment. Based on the difference between the elastic deformation component and the overall sheet thickness at different moments within the tension test stamping sequence, the gap between the battery casing sheet's elastic deformation and the theoretical sinusoidal variation fluctuation is analyzed, and the actual elastic reference weight of the battery casing sheet is calculated. Within the formal contour stamping sequence, the proportional relationship between sheet width and sheet thickness relative to the sheet stamping data is weighted and fused with the actual elastic reference weight to analyze the degree of material warping during formal stamping of the battery casing sheet, and several plastic warping components of the battery casing sheet are calculated. A weighted average of all plastic warping components is then calculated to determine the flatness risk index of the battery casing sheet.

[0030] It is important to note that in the intelligent control system for battery casing stamping, risk index analysis and judgment of sheet flatness is a crucial link in truly integrating incoming material fluctuations, leveling adjustments, and the stamping process into a coordinated operation. Sheet flatness directly determines the uniformity of residual stress distribution within the material. Microscopic unevenness can lead to material flow instability during stamping, premature wrinkling or excessive thinning, and even irregular springback dispersion during the slide unloading stage, rendering prediction models trained solely on the stamping force-displacement curve ineffective. By quantifying flatness as a risk index, a closed-loop linkage of "detection—judgment—leveling—stable forming" is formed. Simultaneously, this index, as an independent input dimension integrated into the digital twin model, can isolate the coupling influence of incoming material shape defects and mold state changes on the force-displacement hysteresis curve, making the model's attribution of forming quality anomalies more accurate and avoiding misjudging flatness fluctuations as mold wear or lubrication failure. Thus, intelligent production line control upgrades from solely relying on the energy characteristics of the forming process to multi-dimensional decision-making incorporating incoming material geometric risks, significantly improving anti-interference capabilities and process control efficiency.

[0031] Preferably, in some implementations of the present invention, the method for obtaining the elastic deformation component is as follows: taking any given moment as the target moment, using the product of the sheet thickness and the sheet width at the target moment as the shell outer dimensions at the target moment; and using the ratio of the sheet stamping data at the target moment to the shell outer dimensions as the elastic deformation component at the target moment. The specific process is as follows: Taking any given moment as an example, the product of the sheet thickness and the sheet width at that moment is taken as the outer dimensions of the shell at that moment; the normalized value of the ratio between the sheet stamping data and the outer dimensions of the shell at that moment is taken as the elastic deformation component at that moment. Obtain the elastic deformation component at each moment.

[0032] It should be noted that, in this embodiment, the default is... The function is normalized, and the implementer can choose the normalization function according to the actual situation.

[0033] Preferably, in some implementations of the present invention, the method for obtaining the actual reference weight of elasticity is as follows: the tension test stamping sequence includes a free time period during which the stamping data value of the sheet metal is continuously 0; within the tension test stamping sequence, the overall change fluctuation value of the sheet metal thickness during the free time period is taken as the total elasticity of the tension test stamping sequence; the elastic deformation components at the corresponding times of different sheet metal stamping data in time periods other than the free time period are taken as several working elasticities of the tension test stamping sequence; the difference between each working elasticity and the total elasticity is iterated, and the iterated and fitted values ​​are taken as the actual reference weight of the elasticity of the battery casing sheet metal. The specific process is as follows: In the tension test stamping sequence, the time period during which the sheet metal stamping data values ​​are continuously zero is defined as the no-stamping free time period. The normalized value of the standard deviation of the sheet metal thickness within the no-stamping free time period is used as the total elasticity of the tension test stamping sequence; the time period excluding the no-stamping free time period is defined as the stamping time period of the tension test stamping sequence; and the elastic deformation component at each moment within the stamping time period is used as the working elasticity of the tension test stamping sequence. The tension test stamping sequence contains multiple working elasticities.

[0034] Furthermore, as a point in time, the actual reference weight of the elasticity of the battery casing sheet can be calculated using the following formula. :

[0035] In the formula, Indicates the actual reference weight of the elasticity of the battery casing sheet material; This indicates the amount of working elasticity contained in the tension test stamping sequence; Indicates the first One work flexibility quantity; This represents the total elasticity of the stamping sequence during tension testing; This indicates taking the absolute value.

[0036] Preferably, in some implementations of the present invention, the method for obtaining the plastic warpage component is as follows: within the formal stamping sequence of the profile, the flatness of the formal stamping sequence is calculated based on the stable state of the overall fluctuation of the sheet thickness; within the formal stamping sequence of the profile, the product of the actual elastic reference weight and the elastic deformation component at each moment is used as the profile elastic deformation component at each moment; the difference between the flatness and the profile elastic deformation components at different moments is used as several plastic warpage components of the battery casing sheet. The specific process is as follows: Preferably, in some implementations of the present invention, the method for obtaining flatness is as follows: the standard deviation of the sheet metal thickness within the formal stamping sequence of the contour is used as the flatness of the formal stamping sequence of the contour. The specific process is as follows: The standard deviation of the thickness of all sheet metal within the formal stamping sequence is used as the flatness of the formal stamping sequence.

[0037] Furthermore, the product of the actual elastic reference weight and the elastic deformation component at each moment within the formal stamping sequence of the profile is taken as the profile elastic deformation component at each moment within the formal stamping sequence of the profile; the absolute value of the difference between the flatness and the profile elastic deformation component at each moment is taken as the plastic warpage component of the battery casing sheet. The battery casing sheet corresponds to multiple plastic warpage components.

[0038] Preferably, in some implementations of the present invention, the method for obtaining the flatness risk index is as follows: within the formal stamping sequence of the contour, the difference in the plastic warping component between adjacent moments is taken as the random fluctuation of the contour plane at adjacent moments; each random fluctuation of the contour plane is smoothed and weighted, and the weighted value is taken as the contour plane fluctuation weight value at adjacent moments; the ratio of the overall average value of the contour plane fluctuation weight value to the preset plane reference threshold is taken as the flatness risk index of the battery casing sheet.

[0039] Within the formal stamping sequence of the profile, the absolute value of the difference between the plastic warping components at adjacent time points is used as the profile plane random fluctuation amount at those adjacent time points. The sequence comprising all profile plane random fluctuation amounts is input into an exponentially weighted moving average algorithm to obtain a weighted smoothed sequence, which is then used as the profile plane fluctuation weight sequence. Each value in the profile plane fluctuation weight sequence is used as the profile plane fluctuation weight value. Each profile plane fluctuation weight value corresponds to a profile plane random fluctuation amount at the same time.

[0040] It should be noted that the process of weighting and balancing the data sequence is a well-known part of the Exponentially Weighted Moving Average algorithm, and will not be described in detail in this embodiment.

[0041] Furthermore, the mean of all contour plane fluctuation weights is compared with a preset plane reference threshold. The ratio of [value] to [value] is used as a risk indicator for the flatness of the battery casing sheet. In this embodiment, [the ratio is used as a reference]. The example described is based on three times the flatness value; however, this embodiment does not impose specific limitations. The value can be determined based on the specific implementation situation.

[0042] Thus, the flatness risk index of the battery casing plate is obtained through the above method.

[0043] Step S003: Within the forming return stamping sequence, combine the overall fluctuation stability of the sheet stamping data with the overall stamping unloading slope to calculate the stamping quality assessment degree of the battery casing sheet.

[0044] It is important to note that in intelligent control that integrates force-displacement hysteresis and flatness risk indicators throughout the entire process, precisely measuring the stamping quality assessment degree is essentially establishing a high-fidelity learning benchmark for the model. If only broad labels such as "no cracks" are used as criteria, the model will misjudge process parameters that implicitly contain springback deviations or micro-cracks as acceptable, fundamentally undermining closed-loop optimization. Only by constructing a multi-dimensional assessment that integrates dimensional accuracy, geometric tolerances, and surface integrity can the model truly learn the precise mapping between process parameters and a perfect shell. At the same time, refined assessment is key to separating the coupled effects of incoming material fluctuations, improper leveling, and die wear: when the assessment degree is upgraded to a geometric deviation spectrum and surface feature map, the model can learn refined attribution logic such as "abnormal demolding force corresponds to specific scratches," achieving targeted control.

[0045] Preferably, in some implementations of the present invention, the method for obtaining the stamping quality assessment degree is as follows: the forming return stamping sequence includes two time periods in sequence: the time period when the die is fully closed and the time period when the unloading slider returns; by analyzing the overall fluctuation stability of the sheet metal stamping data during the time period when the die is fully closed, the stamping dead zone standard of the time period when the die is fully closed is calculated; by analyzing the trend relationship between the stamping force and the slider displacement during the time period when the unloading slider returns, the average slope of the unloading segment curve during the time period when the unloading slider returns is calculated; the sheet metal stamping data during the time period when the die is fully closed and the time period when the unloading slider returns are respectively smoothed and fitted, and the fitted data is then... The data segments are used as the stamping data segment for the fully closed die and the stamping data segment for the return stroke of the unloading slider. A two-dimensional coordinate point is constructed by combining the standard stamping dead zone of the fully closed die stamping data segment with the average slope of the unloading segment curve of the return stroke of the unloading slider data segment. This two-dimensional coordinate point is used as the ideal quality coordinate point for the forming return stamping sequence. A two-dimensional coordinate point is constructed by combining the standard stamping dead zone of the fully closed die time period with the average slope of the unloading segment curve of the return stroke of the unloading slider time period. This two-dimensional coordinate point is used as the actual quality coordinate point for the forming return stamping sequence. The inverse proportional value between the ideal quality coordinate point and the actual quality coordinate point is used as the stamping quality evaluation degree of the battery casing sheet. The specific process is as follows: Preferably, in some implementations of the present invention, the method for obtaining the stamping dead zone standard is as follows: the standard deviation of the sheet metal stamping data during the time period when the die is fully closed is used as the stamping dead zone standard during the time period when the die is fully closed. The specific process is as follows: The standard deviation of all sheet metal stamping data during the period when the mold is fully closed is used as the stamping dead zone standard for the period when the mold is fully closed.

[0046] Preferably, in some implementations of the present invention, the method for obtaining the average slope of the unloading segment curve is as follows: the average slope of the overall sheet metal stamping data during the unloading slider return time period is used as the average slope of the unloading segment curve during the unloading slider return time period. The specific process is as follows: The average slope of all sheet metal stamping data during the unloading slider return time period is taken as the average slope of the unloading segment curve during the unloading slider return time period.

[0047] Furthermore, the sequence of sheet metal stamping data within the time period of complete die closure is taken as the sheet metal stamping dead zone sequence; the sheet metal stamping dead zone sequence is input into the exponential weighted moving average algorithm to obtain the weighted smoothed sequence, and the sequence is taken as the stamping data segment of complete die closure; the standard deviation of all sheet metal stamping data within the stamping data segment of complete die closure is taken as the stamping dead zone fitting standard of the stamping data segment of complete die closure.

[0048] Furthermore, the sequence of sheet metal stamping data during the unloading slider return stroke time period is taken as the sheet metal stamping unloading sequence; the sheet metal stamping unloading sequence is input into the exponential weighted moving average algorithm to obtain the weighted smoothed sequence, and the sequence is taken as the unloading slider return stroke stamping data segment; the mean of the slopes of all sheet metal stamping data in the unloading slider return stroke stamping data segment is taken as the unloading segment fitted average slope of the unloading slider return stroke stamping data segment.

[0049] Furthermore, a two-dimensional coordinate point is constructed by using the fitting standard of the stamping dead zone of the fully closed stamping data segment as the abscissa and the fitting average slope of the unloading segment of the unloading slide return stamping data segment as the ordinate. This two-dimensional coordinate point is then used as the ideal coordinate point for quality compliance. A two-dimensional coordinate point is constructed by using the fitting standard of the stamping dead zone of the fully closed time segment of the die as the abscissa and the fitting average slope of the unloading segment curve of the unloading slide return time segment as the ordinate. This two-dimensional coordinate point is then used as the actual quality coordinate point. The inverse proportional value of the Euclidean distance between the ideal quality coordinate point and the actual quality coordinate point is used as the stamping quality assessment degree of the battery casing sheet.

[0050] It should be noted that the embodiments adopt The model is used to represent the inverse proportional relationship. As input to the model, the implementer can choose an inverse proportional function according to the actual situation. Furthermore, obtaining the Euclidean distance is a well-known technique and will not be described further in this embodiment.

[0051] Thus, the stamping quality assessment of the battery casing sheet is obtained through the above method.

[0052] Step S004: Combine the planar risk index with the stamping quality assessment degree to construct an intelligent control weight coefficient, and then carry out intelligent control of the aluminum disc stamping production line for battery casing.

[0053] Preferably, in some implementations of the present invention, the method for obtaining the intelligent control weight coefficient is as follows: the product of the planar risk index and the stamping quality assessment degree is used as the intelligent control weight coefficient of the battery casing sheet. The specific process is as follows: The product of the planar risk index and the stamping quality assessment degree is used as the intelligent control weight coefficient for the battery casing sheet. Each complete simulated production test of the battery casing aluminum disc corresponds to one intelligent control weight coefficient.

[0054] In one specific implementation of this invention, the general process of intelligent control of the aluminum disc stamping production line for battery casings is as follows: Export the intelligent control weight coefficients with an evaluation result of 1 and the duration of the formal stamping sequence of the profile from the stored historical records in the data storage module.

[0055] It should be noted that the data storage module stores data from several complete simulated production tests of the aluminum discs for the battery casing, along with the corresponding data. In this embodiment, the evaluation results have only two possible outcomes: an evaluation result of 1 represents a "qualified" result; an evaluation result of 0 represents a "unqualified" result.

[0056] It should be noted that in this embodiment, all the aluminum discs for the battery casing were made of the same material during the complete simulated production test.

[0057] Furthermore, as an example, the optimized reference weight of historical records can be calculated using the following formula. :

[0058] In the formula, This indicates the number of historical records stored in the data storage module where the evaluation result is 1; This represents the intelligent control weighting coefficient during the simulated production testing process of the aluminum discs for the current battery casing; Indicates the first A smart control weight coefficient with an evaluation result of 1; This indicates the duration of the formal stamping sequence of the outline during the current battery casing aluminum disc processing and testing process; Indicates the first The duration of a formal stamping sequence for a profile with an evaluation result of 1.

[0059] It should be noted that the current simulated production test process for the aluminum discs of the battery casing refers to the latest complete simulated production test process for the aluminum discs of the battery casing within the data storage module.

[0060] Furthermore, the intelligent control weighting coefficients and optimized reference proportions of the current battery casing aluminum disc simulation production testing process are adjusted. The product of the two values ​​is used as the optimal control weight coefficient for the current simulated production test process of the aluminum disc for the battery casing; the product of the optimal control weight coefficient and the duration of the formal stamping sequence is used as the optimal formal stamping duration for the current simulated production test process of the aluminum disc for the battery casing. The battery disc aluminum disc stamping production line is intelligently controlled by the instruction execution module.

[0061] This concludes the embodiment.

[0062] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A smart control method for a battery casing aluminum disc stamping production line, characterized in that, The method includes the following steps: The tension test stamping sequence, the outline formal stamping sequence, and the forming return stamping sequence of the battery casing sheet are obtained; each of the tension test stamping sequence, the outline formal stamping sequence, and the forming return stamping sequence contains multiple moments, and each moment corresponds to a sheet stamping data, a sheet width, and a sheet thickness. The proportional relationship between sheet width and sheet thickness relative to the sheet stamping data at each moment is used as the elastic deformation component at each moment. Based on the difference between the elastic deformation component and the overall sheet thickness at different moments in the tension test stamping sequence, the gap between the battery casing sheet and the theoretical sinusoidal variation fluctuation when elastic deformation occurs is analyzed, and the actual reference weight of the elasticity of the battery casing sheet is calculated. In the formal contour stamping sequence, the proportional relationship between sheet width and sheet thickness relative to the sheet stamping data is weighted and integrated with the actual reference weight of elasticity to analyze the degree of material warping when the battery casing sheet is formally stamped, and several plastic warping components of the battery casing sheet are calculated. The flatness risk index of the battery casing sheet is calculated by weighted averaging of all plastic warping components. Within the forming return stamping sequence, the overall fluctuation stability of the sheet stamping data and the overall stamping unloading slope are combined to calculate the stamping quality assessment degree of the battery casing sheet. By combining planar risk indicators with stamping quality assessment, an intelligent control weight coefficient is constructed, thereby enabling intelligent control of the aluminum disc stamping production line for battery casings.

2. The intelligent control method for a battery casing aluminum disc stamping production line according to claim 1, characterized in that, The method for obtaining the elastic deformation component is as follows: Take any given moment as the target moment, and use the product of the sheet thickness and sheet width at the target moment as the outer dimensions of the shell at the target moment; use the ratio of the sheet stamping data at the target moment to the outer dimensions of the shell as the elastic deformation component at the target moment.

3. The intelligent control method for a battery casing aluminum disc stamping production line according to claim 1, characterized in that, The method for obtaining the actual reference weight of the elasticity is as follows: The tension test stamping sequence includes a free time period during which the sheet metal stamping data value is continuously 0 without stamping. Within the tension test stamping sequence, the overall change and fluctuation value of the sheet thickness during the free time period without stamping is taken as the total elasticity of the tension test stamping sequence; the elastic deformation components at the corresponding time of different sheet stamping data in time periods other than the free time period without stamping are taken as several working elasticities of the tension test stamping sequence; the difference between each working elasticity and the total elasticity is iterated, and the iterated and fitted values ​​are taken as the actual reference weight of the elasticity of the battery casing sheet.

4. The intelligent control method for a battery casing aluminum disc stamping production line according to claim 1, characterized in that, The method for obtaining the plastic warpage component is as follows: Within the formal stamping sequence of the profile, the flatness of the formal stamping sequence is calculated by taking into account the stable state of the overall fluctuation of the sheet thickness. Within the formal stamping sequence of the profile, the product of the actual reference weight of elasticity and the elastic deformation component at each moment is taken as the profile elastic deformation component at each moment; the difference between the flatness and the profile elastic deformation component at different moments is taken as several plastic warping components of the battery casing sheet.

5. The intelligent control method for a battery casing aluminum disc stamping production line according to claim 4, characterized in that, The method for obtaining the flatness is as follows: The standard deviation of the sheet thickness within the formal stamping sequence of the profile is used as the flatness of the formal stamping sequence of the profile.

6. The intelligent control method for a battery casing aluminum disc stamping production line according to claim 1, characterized in that, The method for obtaining the flatness risk index is as follows: Within the formal stamping sequence of the profile, the difference in the plastic warping component between adjacent moments is taken as the random fluctuation of the profile plane at adjacent moments; each random fluctuation of the profile plane is smoothed and weighted, and the weighted value is taken as the profile plane fluctuation weight value at adjacent moments; the ratio of the overall average value of the profile plane fluctuation weight value to the preset plane reference threshold is taken as the flatness risk index of the battery casing sheet.

7. The intelligent control method for a battery casing aluminum disc stamping production line according to claim 1, characterized in that, The method for obtaining the stamping quality assessment degree is as follows: The forming return stamping sequence includes two time periods in sequence: the time period when the mold is fully closed and the time period when the unloading slider returns. By analyzing the overall fluctuation stability of sheet metal stamping data during the period when the die is fully closed, the stamping dead zone standard during the period when the die is fully closed is calculated. By analyzing the trend relationship between the punching force and the slider displacement during the unloading slider return time, the average slope of the unloading segment curve during the unloading slider return time is calculated. The sheet metal stamping data during the complete die closure period and the unloading slider return period are smoothed and fitted separately. The fitted data segments are used as the stamping data segments during the complete die closure period and the stamping data segments during the unloading slider return period, respectively. The two-dimensional coordinate points constructed by combining the stamping dead zone standard of the complete die closure period and the average slope of the unloading segment curve of the unloading slider return period are used as the ideal quality coordinate points of the forming return stamping sequence. The two-dimensional coordinate points constructed by combining the stamping dead zone standard of the complete die closure period and the average slope of the unloading segment curve during the unloading slider return period are used as the actual quality coordinate points of the forming return stamping sequence. The inverse proportional value of the distance between the ideal quality coordinate points and the actual quality coordinate points is used as the stamping quality evaluation degree of the battery casing sheet metal.

8. The intelligent control method for a battery casing aluminum disc stamping production line according to claim 7, characterized in that, The method for obtaining the stamping dead zone standard is as follows: The standard deviation of sheet metal stamping data during the period when the mold is fully closed is used as the stamping dead zone standard during the period when the mold is fully closed.

9. The intelligent control method for a battery casing aluminum disc stamping production line according to claim 7, characterized in that, The method for obtaining the average slope of the unloading section curve is as follows: The average slope of the sheet metal stamping data during the unloading slider return time period is used as the average slope of the unloading segment curve during the unloading slider return time period.

10. The intelligent control method for a battery casing aluminum disc stamping production line according to claim 1, characterized in that, The method for obtaining the intelligent control weight coefficient is as follows: The product of the planar risk index and the stamping quality assessment degree is used as the intelligent control weighting coefficient for battery casing sheet material.

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