Method for grinding roller curve for battery foil plate production

Abstract

The invention belongs to the technical field of grinding machining, and particularly relates to a method for grinding a roller curve for battery foil plate production, which comprises the following steps of: mounting sensor assemblies on a rolling mill and a grinding machine; the computing device collects rolling pressure data of a rolling mill, temperature data of a roller, thickness deviation data of a rolled battery foil plate, abrasion data of the surface of the roller and grinding vibration data of a grinding machine based on the sensor assembly, and the collected real-time data are transmitted to the computing device. The dynamic compensation model is generated by collecting the rolling pressure, temperature, abrasion loss and other dynamic parameters of the roller, the compensation amount is superposed to the initial theoretical curve of the roller to form the target grinding curve, the effect that the roller curve adapts to actual rolling dynamic interference is achieved, the problem that a static grinding curve deviates from actual requirements is solved, and the grinding efficiency is improved. The uniformity of the thickness of the battery foil plate is improved, the quality defect caused by uneven thickness is reduced, and the stability of the performance of the battery foil plate is ensured.

Description

Technical Field

[0001] This invention belongs to the field of grinding technology, specifically a method for grinding the curve of a roll used in the production of battery foil. Background Technology

[0002] Battery foil is a raw material for the core components of lithium-ion batteries. It is mainly used to manufacture positive and negative current collectors. Battery foil is a sheet material composed of metal sheets or carbon materials. Battery foil has good conductivity and is widely used in various types of batteries, such as lithium batteries, lead-acid batteries, and nickel-metal hydride batteries. It is not only used to manufacture battery electrodes, but also for battery packaging and battery connection. It is processed into foil sheets with a thickness of less than 0.2 mm through rolling mills and is mainly used for the positive current collector of lithium batteries.

[0003] In battery foil production, ensuring the quality of the battery foil requires clean and compliant roll surfaces on the rolling mill. This necessitates grinding the roll profiles to achieve the required processing standards. However, existing roll profile grinding methods do not comprehensively consider dynamic interference factors during the rolling process, including real-time pressure fluctuations, roll temperature changes, accumulated roll wear after long-term use, and differences in the rolling characteristics of different battery foil materials. Furthermore, they neglect vibration interference during grinding, resulting in deviations between the actual working curve of the ground rolls and the ideal curve. This leads to poor uniformity of battery foil thickness, surface scratches, uneven texture, and other quality problems. Frequent shutdowns for re-grinding and adjustment are also required, reducing production efficiency and impacting the performance stability of the battery foils and the quality of subsequent battery production. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a method for grinding roll curves in battery foil production, thereby solving the problems mentioned in the background section.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for grinding the profile of a roll used in the production of battery foil, comprising the following steps: S1. Install sensor components on the rolling mill and grinding machine. The computing device collects rolling pressure data, roll temperature data, thickness deviation data of rolled battery foil, wear data of roll surface and vibration data of grinding machine based on the sensor components, and transmits the collected real-time data to the computing device. S2. The computing device analyzes the historical rolling data and the real-time data of the rolling mill and generates a curve dynamic compensation model for the roll. The dynamic compensation model takes the real-time rolling pressure, real-time temperature and real-time wear of the roll as input parameters and outputs the curve fitting compensation amount of the roll. S3. Based on the size, specifications and material type parameters of the battery foil to be produced, the calculation device calculates the initial theoretical curve of the roller, and superimposes the curve fitting compensation amount onto the initial theoretical curve to obtain the target grinding curve. S4. The target grinding curve is transmitted to the computing device of the grinding machine. The computing device adjusts the grinding depth, grinding speed and vibration suppression parameters of the grinding machine according to the curvature change characteristics of the target grinding curve and the collected real-time grinding vibration data of the grinding machine, so as to obtain the grinding parameters of the grinding machine. S5. The grinding machine grinds the roll according to the grinding parameters. After the grinding machine finishes grinding the roll, the roll is installed on the rolling mill for test rolling. After the test rolling is completed, the thickness deviation and surface finish of the battery foil are detected. If the thickness deviation and surface finish meet the standards, the curve grinding of the roll is completed. If they do not meet the standards, the test rolling data is fed back to the computing device, the dynamic compensation model is re-optimized, and steps S3-S5 are repeated until the curve index of the roll meets the requirements.

[0006] Preferably, the sensor assembly includes a pressure sensor, a temperature sensor, a laser thickness gauge, a laser profilometer, and a vibration sensor; The pressure sensor is installed at the pressing cylinder of the rolling mill, the temperature sensor is an infrared temperature sensor and is evenly arranged on both sides of the roll, the laser thickness gauge is installed at the discharge port of the rolling mill, the laser profiler is installed in the non-rolling area of ​​the roll, and the vibration sensor is installed at the bearing housing of the grinding machine spindle and the roll.

[0007] Preferably, the historical rolling data of the rolling mill includes rolling parameters, roll wear data, and vibration impact data corresponding to battery foils of different materials.

[0008] Preferably, the adjustment of the grinding parameters specifically involves: In the region of the roll grinding curve with high curvature, the grinding speed of the grinding machine is reduced and the single grinding depth of the grinding machine is decreased; in the region of the roll grinding curve with low curvature, the grinding speed of the grinding machine is increased and the single grinding depth of the grinding machine is increased. When the vibration suppression parameter is adjusted, if the vibration acceleration of the grinding machine exceeds a preset threshold, the grinding speed of the grinding machine is reduced and the spindle damping device is activated.

[0009] Preferably, the spindle damping device of the grinding machine is an electromagnetic damper, and the damping coefficient of the spindle damping device is adjustable in the range of 0-500 N·s / m.

[0010] Preferably, the standard for the thickness deviation of the battery foil is ≤ ±1μm, and the standard for the surface smoothness of the battery foil is ≤0.05μm.

[0011] Preferably, the dynamic compensation model is generated using a multiple regression algorithm, and the specific method for generating the dynamic compensation model is as follows: S2.1 Collect historical rolling data and real-time dynamic parameters of the rolling mill, remove outliers and standardize the data to obtain standardized data; S2.2 Based on the multivariate regression algorithm, the curve accuracy influencing factors of the roll are screened from the standardized data, and combined with the material-specific compensation coefficient corresponding to the battery foil. S2.3 Using the selected accuracy influencing factors as input parameters and the curve compensation amount of the roll as the output target, the algorithm fits the historical rolling data and the real-time collected dynamic parameters to generate the initial dynamic compensation model. S2.4. Based on the deviation data of the battery foil, continuously adjust the parameters of the dynamic compensation model, optimize the accuracy of the dynamic compensation model, and finally output the dynamic compensation model with comprehensive compensation amount.

[0012] Preferably, the material-specific compensation coefficient of the battery foil is determined according to the material type of the battery foil to be produced, specifically based on the rolling deformation data, hardness, and friction characteristics with the rolls of different materials.

[0013] Preferably, the length of the battery foil sheet being tested and rolled is not less than 10 meters, and 10 to 20 thickness detection points of the battery foil sheet are collected evenly during the test rolling process, and the average value of the deviation of each detection point is taken as the basis for judging the thickness deviation.

[0014] A computer device includes a processor and a memory, the memory storing at least one line of program code, the at least one line of program code being loaded and executed by the processor to implement a method for grinding roll curves for battery foil production.

[0015] Compared with the prior art, the present invention has the following beneficial effects: (1) This invention generates a dynamic compensation model by collecting dynamic parameters such as rolling pressure, temperature and wear of the roll, and superimposes the compensation amount onto the initial theoretical curve of the roll to form the target grinding curve, so as to make the roll curve adapt to the actual rolling dynamic interference, solve the problem of deviation between the static grinding curve and the actual requirements, improve the uniformity of the battery foil thickness, reduce the quality defects caused by uneven thickness, and ensure the stability of the battery foil performance.

[0016] (2) In the grinding process, the present invention combines the vibration data of the grinding machine to adjust the grinding parameters and suppress vibration, thereby reducing the effect of grinding vibration on the surface of the roll, avoiding the problem of uneven texture on the surface of the roll caused by vibration during the grinding process, improving the surface smoothness of the roll, reducing the problem of surface scratches when processing battery foil, and improving the surface quality of battery foil.

[0017] (3) This invention optimizes the compensation model by testing rolling data feedback, forming a closed-loop verification process. During repeated grinding processes, it continuously improves the curve grinding accuracy of the rolls, reduces frequent shutdowns and re-grinding caused by substandard curves, improves production efficiency, and ensures stable production quality of battery foils of different materials. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating the steps of the present invention; Figure 2 This is a flowchart illustrating the steps of the dynamic compensation model generation method of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Example 1 Please see Figure 1 This invention provides a method for grinding the profile of rolls used in the production of battery foil. To achieve the above objective, this invention is implemented through the following technical solution: A method for grinding roll profiles in battery foil production includes the following steps: S1. Install sensor components on the rolling mill and grinding machine. The computing device collects rolling pressure data, roll temperature data, thickness deviation data of rolled battery foil, wear data of roll surface and vibration data of grinding machine based on the sensor components, and transmits the collected real-time data to the computing device. S2. The computing equipment analyzes the historical rolling data and real-time data of the rolling mill and generates a curve dynamic compensation model for the roll. The dynamic compensation model takes the real-time rolling pressure, real-time temperature and real-time wear of the roll as input parameters and outputs the curve fitting compensation amount of the roll. S3. Based on the size, specifications and material type parameters of the battery foil to be produced, the calculation equipment calculates the initial theoretical curve of the roller, and superimposes the curve fitting compensation amount onto the initial theoretical curve to obtain the target grinding curve. S4. The target grinding curve is transmitted to the grinding machine's computing device. The computing device adjusts the grinding depth, grinding speed, and vibration suppression parameters of the grinding machine based on the curvature change characteristics of the target grinding curve and the collected real-time grinding vibration data of the grinding machine, thereby obtaining the grinding parameters of the grinding machine. S5. The grinding machine grinds the rolls according to the grinding parameters. After the grinding machine finishes grinding the rolls, the rolls are installed on the rolling mill for test rolling. After the test rolling is completed, the thickness deviation and surface finish of the battery foil are checked. If the thickness deviation and surface finish meet the standards, the curve grinding of the roll is completed. If they do not meet the standards, the test rolling data is fed back to the computing device, the dynamic compensation model is re-optimized, and steps S3-S5 are repeated until the curve index of the roll meets the requirements.

[0021] In this embodiment, sensor components are first deployed on the rolling mill and grinding machine, including a pressure sensor for collecting rolling pressure, a temperature sensor for monitoring the temperature of the rolling mill rolls, a laser thickness gauge for measuring the thickness deviation of the battery foil after rolling, a laser profilometer for capturing the wear on the rolling mill roll surface, and a vibration sensor for detecting the grinding vibration of the grinding machine. During installation, sensor calibration must be completed to ensure that the pressure sensor is in close contact with the rigid area of ​​the rolling mill, the temperature sensor is protected from high-temperature radiation interference, and the laser profilometer and laser thickness gauge complete optical path calibration. Then, all sensors are connected to the computing device, and an industrial-grade bus is used to establish a data transmission channel to ensure that real-time data is transmitted to the computing device at a stable rate. The computing device synchronously receives real-time data from various sensor components, including rolling pressure fluctuations of the rolling mill, temperature changes of the rolls, thickness deviation of the battery foil output, wear on the roll surface, and grinding vibration acceleration of the grinding machine. At the same time, it calls up the stored historical rolling data of the rolling mill, covering rolling parameters, wear records, and production quality feedback for battery foils of different materials. The computing device first preprocesses the integrated historical and real-time data, aligns different parameters through time synchronization, removes outliers, and standardizes data processing. Then, it analyzes the correlation of parameters based on the multivariate regression algorithm, selects rolling pressure, temperature, and wear as core influencing factors, introduces material-specific compensation coefficients in combination with the material type of the battery foil to be produced, and iteratively trains to generate a dynamic compensation model. This model takes real-time parameters as input and outputs the comprehensive compensation amount of the roll curve. The computing equipment calculates the initial theoretical curve of the roll based on the size, specifications and material parameters of the battery foil to be produced, and on the basis of rolling mechanics theory and simulation. Then, the comprehensive compensation amount output by the dynamic compensation model is superimposed on the initial theoretical curve according to the curve spatial distribution characteristics to form a target grinding curve that adapts to the actual rolling requirements. After the target curve is generated, it is transmitted to the grinding machine computing equipment through data format conversion. The grinding machine immediately analyzes the curvature change characteristics of the curve, divides the high-precision grinding zone and the high-efficiency grinding zone, and receives vibration sensor data in real time, and identifies the vibration characteristic frequency through analysis. Then, the grinding machine's calculation equipment dynamically adjusts the grinding parameters based on the curvature analysis results: in areas with large curvature, the grinding speed is reduced and the depth of grinding per pass is decreased; in areas with small curvature, the grinding speed is increased and the depth of grinding is increased. When the vibration acceleration exceeds the preset threshold, the grinding speed is reduced and the spindle damping device is activated to adjust the damping coefficient, forming the final grinding parameter scheme. The grinding machine starts the grinding operation according to the determined parameters, and the roll to be processed is installed in the grinding machine's processing position for processing. During this process, the grinding progress is fed back in real time, and the calculation equipment monitors the deviation between the actual grinding curve and the target curve online and dynamically corrects it.

[0022] After grinding, the processed rolls are installed on the rolling mill for test rolling, simulating actual production process conditions. The rolling speed, tension, and temperature of the rolling mill are controlled. After rolling, a laser thickness gauge is used to scan the entire surface of the test-rolled battery foil plate, which is no less than 10 meters long, and at least 10 thickness detection points are collected evenly. At the same time, a laser profilometer is used to detect the surface finish of the rolls. If the test results show that the thickness deviation is within ±1μm and the surface finish Ra≤0.05μm, the roll curve grinding is deemed qualified. If it does not meet the standard, the computing equipment receives the rolling data, wear data, and vibration data from this test, re-optimizes the dynamic compensation model parameters, and repeats the target curve generation, parameter adjustment, and grinding test process until the roll curve indicators fully meet the production requirements. Rolls that meet the curve requirements are then used for the rolling production of battery foil plates.

[0023] Example 2 Specifically, the sensor assembly includes a pressure sensor, a temperature sensor, a laser thickness gauge, a laser profilometer, and a vibration sensor; The pressure sensor is installed at the pressing cylinder of the rolling mill, the temperature sensor is an infrared temperature sensor and is evenly distributed on both sides of the roll, the laser thickness gauge is installed at the discharge port of the rolling mill, the laser profiler is installed in the non-rolling area of ​​the roll, and the vibration sensor is installed at the bearing housing of the grinding machine spindle and the roll.

[0024] Historical rolling data from the mill includes rolling parameters for battery foils of different materials, roll wear data, and vibration impact data.

[0025] The specific adjustments to the grinding parameters are as follows: In the region of the roll grinding curve with high curvature, reduce the grinding speed of the grinding machine and decrease the single grinding depth of the grinding machine; in the region of the roll grinding curve with low curvature, increase the grinding speed of the grinding machine and increase the single grinding depth of the grinding machine. When adjusting the vibration suppression parameters, if the vibration acceleration of the grinding machine exceeds the preset threshold, the grinding speed of the grinding machine will be reduced and the spindle damping device will be activated.

[0026] The spindle damping device of the grinding machine is an electromagnetic damper, and the damping coefficient of the spindle damping device can be adjusted from 0 to 500 N·s / m.

[0027] The standard for the thickness deviation of the battery foil is ≤ ±1μm, and the standard for the surface smoothness of the battery foil is ≤0.05μm.

[0028] The length of the battery foil sheet to be tested and rolled shall not be less than 10 meters, and 10 to 20 thickness detection points of the battery foil sheet shall be collected evenly during the test rolling process. The average value of the deviation of each detection point shall be used as the basis for judging the thickness deviation. In this embodiment, a test length of over 10 meters can cover the entire working cycle of the roll, ensuring the representativeness of the test results. Uniformly collected test points can comprehensively reflect the thickness distribution of the battery foil, avoiding judgment deviations caused by local testing. The average value determination method can reduce the impact of random errors, improve the accuracy of thickness deviation determination, and provide a reliable evaluation basis for model optimization. The standard for the thickness deviation of the battery foil is a deviation value ≤ ±1μm. This standard is determined based on the application requirements of the battery foil. Strict thickness deviation control can ensure the consistency of the battery foil in the subsequent battery manufacturing process, reduce the differences in battery performance caused by uneven thickness. The standard for the surface smoothness is a smoothness ≤ 0.05μm (Ra value). Low surface roughness can reduce the fluctuation of the friction coefficient between the battery foil and the roll, reduce the risk of scratches and uneven texture on the surface of the battery foil, and improve the surface quality and mechanical properties of the battery foil. Regions with greater curvature are critical areas for the curve forming of the rolls, requiring higher precision. Reducing the grinding speed can decrease the fluctuation of grinding force, and decreasing the single grinding depth can reduce the plastic deformation of the roll surface, thus ensuring the forming accuracy of the curve. Regions with less curvature have relatively lower precision requirements. Increasing the grinding speed and grinding depth can improve grinding efficiency and shorten grinding time. The adjustment range of grinding parameters is dynamically determined according to the rate of change of curvature to ensure the smoothness of parameter transition and avoid grinding defects caused by sudden parameter changes. The preset vibration threshold is determined according to the inherent vibration characteristics of the grinding machine and the precision requirements of the roll grinding, and is usually set to 0.5g. When the vibration acceleration exceeds this value, the system determines that there is an abnormal vibration risk in the grinding process. Reducing the grinding speed can reduce the input of excitation force and suppress the aggravation of vibration from the source. The spindle damping device reduces the vibration amplitude by consuming vibration energy, achieving rapid vibration attenuation. The adjustment of vibration suppression parameters needs to respond to changes in vibration data in real time to ensure the timeliness and effectiveness of vibration control, thereby reducing deformation and damage on the surface of the processed battery foil, ensuring the stability of battery foil rolling and product quality.

[0029] Example 3 Specifically, refer to Figure 2 The dynamic compensation model is generated using a multiple regression algorithm. The specific generation method of the dynamic compensation model is as follows: S2.1 Collect historical rolling data and real-time dynamic parameters from the rolling mill, remove outliers and standardize the data to obtain standardized data; S2.2 Based on the multiple regression algorithm, the factors affecting the curve accuracy of the rolls are screened from the standardized data, and the material-specific compensation coefficients corresponding to the battery foil are combined. S2.3. Using the selected accuracy influencing factors as input parameters and the roll curve compensation amount as the output target, the algorithm fits the historical rolling data and the real-time acquired dynamic parameters to generate an initial dynamic compensation model. S2.4. Based on the deviation data of the battery foil, continuously adjust the parameters of the dynamic compensation model, optimize the accuracy of the dynamic compensation model, and finally output the dynamic compensation model of the comprehensive compensation amount.

[0030] The material-specific compensation coefficient of the battery foil is determined based on the material type of the battery foil to be produced, specifically based on the rolling deformation data, hardness, and friction characteristics with the rolls of different battery foil materials. In this embodiment, the material-specific compensation coefficient of the battery foil is determined according to the type of foil material to be produced. Taking copper foil and aluminum foil as examples, copper foil has high material hardness, large resistance to plastic deformation during rolling, and a high coefficient of friction with the rolls (approximately 0.2-0.3). The rolling pressure has a more significant impact on the curve deviation. Therefore, the material-specific compensation coefficient is set to a larger value to enhance the correction weight of pressure, temperature, and wear factors. Aluminum foil has lower material hardness, strong plastic deformation ability, and a lower coefficient of friction with the rolls (approximately 0.1-0.2). The curve deviation is less sensitive to rolling parameters. Therefore, the material-specific compensation coefficient is set to a smaller value to adapt to its gentler rolling characteristics. The specific value of the material-specific compensation coefficient needs to be determined by fitting a large amount of historical rolling data and fine-tuned according to the actual rolling effect during the optimization process to ensure that foils of different materials can obtain accurate curve compensation. The data preprocessing steps effectively improved data quality, providing a reliable foundation for accurate model fitting. Precise selection of influencing factors ensured that the core input parameters of the model had significant physical and statistical significance, avoiding interference from redundant parameters. The model fitting process based on the multiple regression algorithm solved parameters through rigorous statistical methods, guaranteeing the prediction accuracy of the initial model. The continuous model optimization mechanism enabled the model to adapt to changes in actual production conditions, maintaining a long-term stable compensation effect. The introduction of material-specific compensation coefficients further enhanced the model's adaptability to battery foils of different materials, broadening the application scope of the method. The accuracy and adaptability of this dynamic compensation model were significantly improved, providing a scientific compensation basis for roll curve grinding, effectively reducing curve deviations caused by material differences and dynamic interference, and further improving the thickness uniformity and production stability of battery foils.

[0031] Example 4 A computer device includes a processor and a memory, the memory storing at least one line of program code, the at least one line of program code being loaded and executed by the processor to implement a method for grinding roll curves for battery foil production using the computer device; In this embodiment, the implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When these computer program instructions are loaded and executed on a computer, they generate all or part of the flow or function according to the embodiments of the present invention. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted through a computer-readable storage medium. The computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access, or a data processing device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive (SSD)).

[0032] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention.

Claims

1. A method of grinding a roll curve for a battery foil plate production, characterized by, The method comprises the following steps: S1, installing a sensor assembly on a rolling mill and a grinding machine, a computing device collecting rolling pressure data, roller temperature data, thickness deviation data of a rolled battery foil plate, wear data of a roller surface and vibration data of grinding of the grinding machine based on the sensor assembly, and transmitting real-time data collected to the computing device; S2, the computing device analyzing historical rolling data of the rolling mill and the real-time data, and generating a curve dynamic compensation model of the roller, the dynamic compensation model taking real-time rolling pressure, real-time temperature and real-time wear of the roller as input parameters, and outputting curve fitting compensation of the roller; S3, according to the size, specification and material type parameters of the battery foil plate to be produced, the computing device calculates an initial theoretical curve of the roller, superimposes the curve fitting compensation on the initial theoretical curve to obtain a target grinding curve; S4, transmitting the target grinding curve to the computing device of the grinding machine, adjusting the grinding depth, grinding speed and vibration suppression parameters of the grinding machine according to the curvature variation characteristics of the target grinding curve and the collected real-time vibration data of grinding of the grinding machine, and obtaining the grinding parameters of the grinding machine; S5, the grinding machine grinds the roller according to the grinding parameters, and after the grinding machine grinds the roller, the roller is installed on the rolling mill for test rolling, and after the test rolling is completed, the thickness deviation and surface finish of the battery foil plate are detected; If the thickness deviation and the surface finish are up to standard, the curve grinding of the roller is completed, and if not, the data of the test rolling is fed back to the computing device, the dynamic compensation model is re-optimized, and steps S3-S5 are repeated until the curve index of the roller meets the requirements.

2. The method of claim 1, wherein the grinding roller curve is a curve of a grinding roller used in production of a battery foil plate. The sensor assembly comprises a pressure sensor, a temperature sensor, a laser thickness gauge, a laser profiler and a vibration sensor; The pressure sensor is installed at the screwdown cylinder of the rolling mill, the temperature sensor is an infrared temperature sensor and is uniformly arranged on both sides of the roller, the laser thickness gauge is installed at the discharge port of the rolling mill, the laser profiler is installed at the non-rolling area of the roller, and the vibration sensor is installed at the main shaft and bearing seat of the grinding machine.

3. The method of claim 1, wherein the grinding roller curve is a curve of a grinding roller used in production of a battery foil plate. The historical rolling data of the rolling mill comprises rolling parameters, roller wear data and vibration influence data corresponding to the battery foil plate of different materials.

4. The method of claim 1, wherein the grinding roller curve is a curve of a grinding roller used in production of a battery foil plate. The adjustment of the grinding parameters is as follows: In the area where the curvature of the roller grinding curve is large, the grinding speed of the grinding machine is reduced, and the single grinding depth of the grinding machine is reduced; in the area where the curvature of the roller grinding curve is small, the grinding speed of the grinding machine is increased, and the single grinding depth of the grinding machine is increased; When the vibration acceleration of the grinding machine exceeds a preset threshold, the grinding speed of the grinding machine is reduced and the main shaft damping device is started.

5. The method of claim 4, wherein the grinding roller curve is a curve of a grinding roller used in production of a battery foil plate. The main shaft damping device of the grinding machine is an electromagnetic damper, and the damping coefficient adjustment range of the main shaft damping device is 0-500 N・s / m.

6. The method of claim 1, wherein the method is used for producing a grinding roller curve for a battery foil plate, and The thickness deviation of the battery foil plate is less than or equal to ±1μm, and the surface smoothness of the battery foil plate is less than or equal to 0.05μm.

7. The method of claim 1, wherein the grinding roller curve is a curve of a grinding roller used in production of a battery foil plate. The dynamic compensation model is generated by a multiple regression algorithm, and the specific generation method of the dynamic compensation model is as follows: S2.1, collect the historical rolling data of the rolling mill and the real-time collected dynamic parameters, remove outliers and perform data standardization processing to obtain standardized data; S2.2, based on the multiple regression algorithm, screen out the curve precision influencing factors of the rolling mill from the standardized data, and combine the material-specific compensation coefficients corresponding to the battery foil plate; S2.3, taking the screened precision influencing factors as input parameters and the curve compensation amount of the rolling mill as output target, fitting the historical rolling data and real-time collected dynamic parameters through algorithm to generate an initial dynamic compensation model; S2.4, combined with the deviation data of the battery foil plate, continuously adjust the parameters of the dynamic compensation model, optimize the precision of the dynamic compensation model, and finally output the dynamic compensation model of the comprehensive compensation amount.

8. The method of claim 7, wherein the grinding roller curve is a curve of a grinding roller used in production of a battery foil plate. The material-specific compensation coefficient of the battery foil plate is determined according to the material type of the battery foil plate to be produced, and is specifically based on the rolling deformation data, hardness and friction characteristics with the rolling mill of the battery foil plate of different materials.

9. The method of claim 1, wherein the grinding roller curve is a curve of a grinding roller used in production of a battery foil plate. The length of the battery foil plate tested by rolling is not less than 10 meters, and 10-20 thickness detection points of the battery foil plate are uniformly collected during the test rolling process, and the average value of the deviation of each detection point is taken as the thickness deviation judgment basis.

10. A computer device, comprising: The computer device includes a processor and a memory, and the memory stores at least one program code, which is loaded and executed by the processor to use the computer device to realize the method for grinding the curve of the rolling mill for the production of the battery foil plate according to any one of claims 1-9.

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