A method and system for controlling electrode thickness

By acquiring electrode thickness data in real time and combining it with the equipment's electrode thickness adjustment model and deep learning technology, the parameters of the rolling equipment are dynamically adjusted, solving the consistency and capacity problems in electrode thickness control and achieving efficient electrode thickness control.

CN119747401BActive Publication Date: 2025-10-31HEFEI GUOXUAN HIGH TECH POWER ENERGY
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Patent Information

Application Number
CN202510016041.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-01-06
Publication Date
2025-10-31
Estimated Expiration
2045-01-06

AI Technical Summary

Technical Problem

Existing technologies rely on manual processing for electrode thickness control, resulting in excessive time, production capacity loss, and low yield. Furthermore, they cannot guarantee the consistency of electrode thickness, especially when producing electrodes of different models and specifications, as they cannot achieve real-time adjustment.

Method used

The system uses a host computer to acquire electrode thickness data in real time. Through the electrode thickness adjustment model and deep learning technology, it dynamically adjusts the roller gap and pressure of the rolling equipment, forming a closed-loop feedback mechanism between the host computer and the rolling equipment to achieve real-time adjustment of electrode thickness.

Benefits of technology

It improves the yield rate of electrode thickness, reduces production costs, ensures the uniformity of electrode thickness and the stability of the production process, and is suitable for electrodes of various sizes and models.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

This invention discloses an electrode thickness control method and system, belonging to the field of battery technology, aiming to solve the problem of low electrode thickness accuracy in existing technologies. The method is as follows: a host computer acquires the current electrode thickness data in real time; based on the comparison result between the target thickness threshold and the electrode thickness data, electrode anomaly results are obtained and the number of electrode anomalies is accumulated; the electrode thickness adjustment model of the equipment is used to analyze the electrode anomaly results to obtain equipment parameter adjustment instructions; based on the comparison result between the anomaly count threshold and the accumulated number of electrode anomalies, an equipment alarm message is generated; the equipment parameter adjustment instructions and the equipment alarm message are respectively sent to the rolling mill to perform main roller spacing adjustment, pressure adjustment, and output alarm information. This invention can judge thickness anomalies in real time based on electrode thickness measurement data during the electrode thickness control process, and dynamically adjust the roller gap spacing and pressure in different areas of the rolling mill, thereby improving the yield of electrode thickness and reducing production line costs.
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Description

Technical Field

[0001] This invention relates to a method and system for controlling electrode thickness, belonging to the field of battery technology. Background Technology

[0002] Since the charging and discharging process takes place locally on the electrode, inconsistent electrode thickness will increase the resistance at the interface between the electrode material and the electrolyte, thereby reducing the cell capacity and affecting battery performance. Traditional electrode thickness control methods rely too much on manual processing, resulting in excessively long processing time, leading to production capacity loss and wasted labor time. Furthermore, manual control causes significant fluctuations in electrode thickness, making it impossible to guarantee the consistency of thickness in multiple areas of the electrode. This results in low electrode yield and high production costs.

[0003] While existing technologies utilize control models and automated equipment to automate electrode thickness measurement, effectively reducing fluctuations during control operations and improving the accuracy of electrode thickness measurement, most industrial control parameters are trained based on historical data. Especially when producing electrodes of different models and specifications, adjustments are made based solely on existing experience, failing to guarantee the consistency of current electrode thickness. Therefore, in actual production, real-time adjustment of electrode thickness is not possible, resulting in a still low pass rate for electrode production. Summary of the Invention

[0004] Purpose of the invention: This invention provides an electrode thickness control method and system that can overcome the shortcomings of the prior art. During the electrode thickness control process, it can judge whether to switch the main roller adjustment strategy based on the electrode thickness measurement data in real time when the electrode thickness is abnormal, dynamically adjust the roller gap spacing and pressure in different areas of the roller pressing equipment, improve the yield of electrode thickness and reduce production line costs.

[0005] To solve the above-mentioned technical problems, the present invention is implemented using the following technical solution:

[0006] A method for controlling electrode thickness includes:

[0007] The host computer acquires the current electrode thickness data in real time;

[0008] Based on the comparison between the target thickness threshold and the electrode thickness data, the electrode anomaly results are obtained and accumulated.

[0009] The abnormal electrode results were analyzed using the equipment electrode thickness adjustment model to obtain equipment parameter adjustment instructions;

[0010] Based on the comparison between the threshold number of abnormalities and the cumulative electrode abnormality results, an equipment alarm message is generated;

[0011] The adjustment commands and equipment alarm messages are respectively sent to the roller pressing equipment to perform main roller spacing adjustment, pressure adjustment and output alarm information.

[0012] In this invention, the host computer acquires the current electrode thickness data, judges and evaluates the current electrode thickness data, and quickly identifies abnormal electrode thickness values ​​and the regions associated with these abnormal values. Based on the regions associated with the abnormal values, the equipment is adjusted in real time, generating corresponding equipment parameter adjustment commands. This forms a closed-loop feedback mechanism between the host computer and the rolling equipment, achieving the goal of real-time adjustment of the current electrode thickness. Compared with other control methods that rely on historical data models, this method can effectively reduce errors in actual control and lower production costs.

[0013] Optionally, the host computer acquires the current electrode thickness data in real time, including:

[0014] When the electrode enters the rolling equipment, the host computer controls the laser displacement sensor to move and scan along the width of the electrode to obtain multiple laser signals from multiple primary regions.

[0015] Distance calculations were performed on multiple laser signals to obtain electrode thickness data for multiple primary regions;

[0016] Based on the position of the main roller, the electrode thickness data of multiple primary regions are grouped directionally to obtain data groups of the first, second and third directional regions of the main roller.

[0017] The average thickness of the electrode sheet in each region was obtained by averaging the data in each region and then averaging the thickness in each of the three directions of the main roller.

[0018] This invention can adjust the sampling frequency and moving speed of the laser displacement sensor according to the change in the electrode conveying speed, thereby ensuring that the electrode can be measured from all directions. Secondly, it can also adjust the number of sensors, the amount of electrode thickness data collected, and the area division data according to the changes in electrode width, laser displacement sensor sampling frequency, and electrode conveying speed, so that this invention can be flexibly applied to electrodes of various sizes and models.

[0019] Optionally, based on the comparison between the target thickness threshold and the electrode thickness data, electrode anomaly results can be obtained, including:

[0020] The average electrode thickness in each directional region is compared with the corresponding target thickness threshold. If the electrode thickness in each directional region is within the corresponding target thickness threshold range, then a normal electrode result is obtained.

[0021] If the average electrode thickness in any directional region deviates from the corresponding target thickness threshold range, an abnormal electrode result is obtained.

[0022] In this invention, multiple measurements are taken along the same width of the electrode to obtain the thickness change in the direction of electrode movement in real time. The data from multiple primary regions are judged one by one, making the electrode thickness measurement more precise and quantitative, and fundamentally eliminating the situation of uneven overall electrode thickness.

[0023] Optionally, an equipment electrode thickness adjustment model is used to analyze abnormal electrode results and obtain equipment parameter adjustment instructions, including:

[0024] Import the data set of the region associated with the abnormal electrode results into the electrode thickness adjustment model of the equipment to obtain the adjustment strategy to be executed by the main roller;

[0025] Based on the adjustment strategy required by the main roller, a parameter adjustment command is generated and sent to the roller pressing equipment to adjust the spacing and pressure of the roller pressing area.

[0026] This invention also utilizes deep learning technology in a feedforward system to specifically train the main roll position and roll pressure adjustment strategies for controlling electrode thickness, thereby obtaining an electrode thickness adjustment model for the equipment. Simultaneously, to avoid overfitting of the training model, a feedback mechanism is added to the existing training model's powerful computational capabilities. This combines the training model's strong analytical capabilities with the stability of the feedback mechanism, continuously correcting the roll gap and pressure of the rolling mill, ensuring the electrode thickness remains within the set range in real time. This avoids the problems of low prediction accuracy and low product qualification rate caused by relying solely on data models.

[0027] Optionally, a parameter adjustment command is generated based on the adjustment strategy required for the main roll, and sent to the rolling equipment to adjust the spacing and pressure of the rolling zone, including:

[0028] The region associated with the abnormal electrode result is identified. When the region associated with the abnormal electrode result is the first direction region, the second direction region, or the third direction region of the main roller, the data group of the corresponding region is substituted into the adjustment strategy of the first direction region of the main roller, the adjustment strategy of the second direction region, or the adjustment strategy of the third direction region of the main roller for calculation, so as to obtain the main roller gap spacing of the first direction region, the second direction region, or the third direction region of the main roller.

[0029] Based on the main roll gap spacing in the first, second, or third direction region of the main roll, corresponding equipment parameter adjustment commands are generated and sent to the rolling equipment to control the rolling equipment to adjust the gap spacing and pressure in the first, second, or third direction region of the main roll.

[0030] The expression for the adjustment strategy of the first direction region of the main roller is:

[0031]

[0032] In the formula, To adjust the roll gap spacing in the first direction region of the main roll. These are the electrode thickness values ​​of the first and second data groups in the first direction region of the main roller, respectively. The thickness is the standard thickness for electrode manufacturing, and h is the adjustment amount. The initial position value of the main roller;

[0033] The expression for the adjustment strategy of the third-party region is:

[0034]

[0035] In the formula, To adjust the roll gap spacing in the third directional region, These are the electrode thickness values ​​for the first and second data groups in the third-direction region, respectively.

[0036] The expression for the second-direction region adjustment strategy is:

[0037]

[0038]

[0039] In the formula, To adjust the roll gap spacing in the second direction region, This is the pressure adjustment value. This is the initial pressure value. These represent the electrode thickness values ​​for the first, second, and third data groups in the second direction region, respectively. These are the electrode thickness coefficient and the electrode pressure coefficient, respectively.

[0040] In this invention, the adjustment area and adjustment priority are divided according to the shape of the main roller itself, which can cover various thickness abnormality scenarios caused by changes in electrode conveying speed, changes in rolling speed, and rolling springback. This allows for independent adjustment strategies for thickness abnormality areas before and after pressing, and ensures that the adjustment strategies can be flexibly switched. Ultimately, this ensures the stability of the rolling process and the uniformity of the overall electrode thickness, and reduces electrode thickness fluctuations.

[0041] Optionally, it also includes receiving a device reset signal;

[0042] The accumulated electrode anomaly results are cleared to zero based on the received device reset signal, and the number of electrode anomalies is re-accumulated; this reduces the amount of data and achieves the purpose of automatically clearing cached data, thereby improving the parsing and calculation speed.

[0043] An electrode thickness control system, comprising:

[0044] Thickness measurement unit, evaluation unit, instruction generation unit, communication unit, and alarm unit;

[0045] The thickness measurement unit is used to acquire the current electrode thickness data in real time.

[0046] The evaluation unit is used to obtain electrode anomaly results and accumulate the number of electrode anomalies based on the comparison results between the target thickness threshold and the electrode thickness data.

[0047] The instruction generation unit is used to analyze the abnormal results of the electrode sheet using the equipment electrode sheet thickness adjustment model to obtain equipment parameter adjustment instructions;

[0048] The alarm unit is used to generate an equipment alarm message based on the comparison between the abnormality threshold and the cumulative number of electrode abnormalities.

[0049] The communication unit is used to send equipment parameter adjustment commands and equipment alarm messages to the roller pressing equipment to perform main roller spacing adjustment, pressure adjustment and output alarm information.

[0050] The system in this embodiment can achieve functional control of electrode thickness without relying on complex calculation models and software; secondly, the functions of each unit are simplified, combining the powerful analysis capabilities of the feedforward system and the real-time adjustment advantages of the closed-loop feedback system, while also having a data cache clearing function to release system resources, improve the system's operating speed and responsiveness, making the system more lightweight, efficient and stable.

[0051] Optionally, the thickness measuring unit communicates with the thickness gauge;

[0052] The thickness gauge includes a laser displacement sensor arranged in an up-and-down shooting manner, and the laser displacement sensor is mounted on the first moving module;

[0053] The first moving module is positioned corresponding to the upper and lower sides of the electrode, and drives the laser displacement sensor to move along the width direction of the electrode.

[0054] The thickness gauge is electrically connected to the host computer for real-time feedback of electrode thickness data;

[0055] The thickness gauge uses a digital signal processor to calculate and convert the laser displacement sensor to obtain an analog signal of the electrode thickness in the area scanned by the laser displacement sensor. The analog signal is then converted back into a data signal by the signal processor to obtain the current electrode thickness data.

[0056] The working principle of the laser displacement sensor in this invention is laser triangulation. A visible red laser is projected onto the surface of the object being measured through a lens. The laser reflected by the object passes through the receiver lens and is received by the internal CCD linear camera. After calculation, the electrode thickness data is obtained. The thickness gauge controller calculates the electrode thickness T based on the measurement distance S(A) from the laser displacement sensor to the upper surface of the electrode, the measurement distance S(B) from the laser displacement sensor to the lower surface of the electrode, and the total distance S(C) between the upper and lower laser displacement sensors, i.e., T=S(C)-S(A)-S(B). This directly and effectively obtains the relevant physical quantities, reducing the computation and resource consumption of the host computer. Finally, through the movement of the first moving module and the electrode transfer, continuous and comprehensive multi-point measurement of the entire electrode is performed, improving the accuracy of electrode thickness control.

[0057] Optionally, the communication unit communicates with the controller of the roller pressing equipment;

[0058] The roller pressing equipment includes: a second moving module, a main roller, a connecting frame, and an alarm device;

[0059] The main roller is connected to the second movable module on both radial sides via two connecting frames, and the main roller is located above the electrode sheet;

[0060] The second moving module is electrically connected to the roller pressing equipment controller and is used to independently control the second moving module to drive the two radial sides and the middle of the main roller to move longitudinally relative to the electrode, so as to adjust the roller gap and pressure of the electrode relative to the first direction area, the second direction area and the third direction area of ​​the main roller.

[0061] The alarm device is electrically connected to the roller pressing equipment controller and includes an alarm light and a buzzer. Under the control of the roller pressing equipment controller, the alarm light and buzzer output alarm information, which facilitates timely maintenance of the roller pressing equipment and electrode sheets by the user.

[0062] In this invention, the second moving module drives the radial sides and the middle of the main roller to move flexibly up and down, controlling the different roller gaps on the radial sides and the middle of the main roller, so as to meet the dynamic control under the fluctuation of electrode thickness before and after the rolling process; secondly, an alarm function is added when frequent adjustment occurs to remind equipment personnel to check, repair and adjust the equipment in time.

[0063] Optionally, the rolling mill is also equipped with an alarm reset button. After the user completes the maintenance of the equipment and the electrode, the user can send a reset signal to the rolling mill controller by activating the alarm reset button, and forward it to the communication unit. This allows the evaluation unit to clear the accumulated number of electrode abnormalities and start accumulating again. This can achieve the purpose of clearing the data cache, thereby reducing memory usage and improving parsing and calculation speed.

[0064] Beneficial effects: Compared with the prior art, the present invention has the following advantages:

[0065] 1. The method of this invention forms a closed-loop feedback mechanism between the host computer and the rolling equipment, thereby achieving real-time adjustment of the current electrode thickness. Compared with other control methods that rely on historical data models, this method can effectively reduce errors in actual control and lower production costs.

[0066] 2. Based on the shape of the main roller itself, the adjustment area and adjustment priority are divided, which can cover the thickness abnormality and thickness fluctuation caused by various situations such as changes in electrode conveying speed, changes in rolling speed and rolling springback. This allows for independent adjustment strategies for thickness abnormal areas before and after pressing, and ensures that the adjustment strategies can be flexibly switched. Ultimately, this ensures the stability of the rolling process and the uniformity of the overall electrode thickness, and avoids significant thickness fluctuations in the overall electrode.

[0067] 3. The sampling frequency and moving speed of the laser displacement sensor can be adjusted according to the change in the electrode conveying speed, thereby ensuring that the electrode can be measured from all directions. Furthermore, the number of sensors, the amount of electrode thickness data collected, and the number of areas can also be adjusted, so that the present invention can be flexibly applied to electrodes of various sizes and models.

[0068] 4. Utilizing deep learning technology in a feedforward system, a targeted training model for adjusting the main roll position and roll pressure is obtained to control the electrode thickness. Simultaneously, to avoid overfitting of the training model, a feedback mechanism is added to the existing model's powerful computational capabilities. This combines the model's strong analytical ability with the stability of the feedback mechanism, continuously correcting the roll gap and pressure of the rolling mill. This ensures the electrode thickness remains within the set range in real time, avoiding the problems of low prediction accuracy and low product yield caused by relying solely on a data model. Attached Figure Description

[0069] Figure 1 The diagram shown is a flowchart of the electrode thickness control method of the present invention.

[0070] Figure 2 The diagram shown is a schematic diagram of the operation of the laser displacement sensor of the present invention.

[0071] Figure 3 The diagram shown is a schematic of the installation structure of the laser displacement sensor of the present invention.

[0072] Figure 4 The diagram shown is a schematic of the main roller mounting structure of the present invention;

[0073] Figure 5 The diagram shown is a schematic diagram of the main roller position adjustment according to the present invention;

[0074] Figure 6 The figure shown is a schematic diagram of the thickness data of the thickness gauge software of the present invention.

[0075] Reference numerals: 101-Laser displacement sensor, 102-Incident light from laser displacement sensor, 103-Reflected light from laser displacement sensor, 104-Electrode, 105-Measurement distance S(A) of the upper surface, 106-Measurement distance S(B) of the lower surface, 107-Total distance S(C) between upper and lower laser beams, 108-First moving module, 109-Sensor fixing bracket, 110-Main roller, 111-Connecting frame, 112-Second moving module, 113-First radial side of the main roller, 114-Second radial side of the main roller, 115-First side roller gap, 116-Second side roller gap, 117-Middle roller gap of the main roller. Detailed Implementation

[0076] To better understand the technical content of the present invention, the technical solution of the present invention will be further introduced and explained below with reference to specific embodiments, but is not limited thereto.

[0077] Example 1

[0078] This embodiment proposes a novel method for controlling electrode thickness, such as... Figure 1 The following are included:

[0079] Step 1: The host computer acquires the current electrode thickness data in real time;

[0080] Step 2: Based on the comparison results between the target thickness threshold and the electrode thickness data, obtain the electrode anomaly results and accumulate the number of electrode anomalies;

[0081] Step 3: Use the equipment electrode thickness adjustment model to analyze the abnormal electrode results and obtain the equipment parameter adjustment instructions;

[0082] Step 4: Generate an equipment alarm message based on the comparison between the abnormality threshold and the cumulative number of electrode abnormalities;

[0083] Step 5: Send the equipment parameter adjustment command and equipment alarm message to the roller press to perform main roller spacing adjustment, pressure adjustment and output alarm information respectively.

[0084] In this embodiment, the host computer acquires the current electrode thickness data, judges and evaluates the current electrode thickness data, and quickly identifies abnormal electrode thickness values ​​and the regions associated with the abnormal values. Based on the main roller direction region associated with the abnormal values, the equipment is adjusted in real time to generate corresponding adjustment commands, thereby forming a closed-loop feedback mechanism between the host computer and the rolling equipment, achieving the purpose of real-time adjustment of the current electrode thickness. Compared with other control methods that rely on historical data models, this method can effectively reduce errors in actual control and lower production costs.

[0085] The electrode thickness adjustment model is constructed using an RNN or ANN artificial neural network and a linear regression method. Different types of electrode roll pressure data are input into the neural network for training to obtain an optimized electrode thickness adjustment model. This model enables the electrode thickness adjustment model to have linear regression analysis capabilities and can predict the linear relationship between the main roll adjustment amount and the pressure value.

[0086] Optionally, the host computer acquires the current electrode thickness data in real time, including:

[0087] When the electrode enters the rolling equipment, the host computer controls the laser displacement sensor to move and scan along the width of the electrode to obtain multiple laser signals from multiple primary regions.

[0088] Distance calculations were performed on multiple laser signals to obtain electrode thickness data for multiple primary regions;

[0089] Based on the position of the main roller, the electrode thickness data of multiple primary regions are grouped directionally to obtain data groups of the first, second and third directional regions of the main roller.

[0090] The average thickness of the electrode sheet in each region was obtained by averaging the data in each region and then averaging the thickness in each of the three directions of the main roller.

[0091] This embodiment can adjust the sampling frequency and moving speed of the laser displacement sensor according to the change in the electrode conveying speed, thereby ensuring that the electrode can be measured from all directions. Secondly, the number of sensors, the amount of electrode thickness data collected, and the area division data can also be adjusted according to the changes in electrode width, laser displacement sensor sampling frequency, and electrode conveying speed, so that the present invention can be flexibly applied to electrodes of various sizes and models.

[0092] Optionally, based on the comparison between the target thickness threshold and the electrode thickness data, electrode anomaly results can be obtained, including:

[0093] The average electrode thickness in each directional region is compared with the corresponding target thickness threshold. If the electrode thickness in each directional region is within the corresponding target thickness threshold range, then a normal electrode result is obtained.

[0094] If the average electrode thickness in any directional region deviates from the corresponding target thickness threshold range, an abnormal electrode result is obtained.

[0095] In this embodiment, multiple measurements are performed on the same width of the electrode, and the thickness change in the direction of electrode movement is obtained in real time. The data from multiple regions are judged one by one, making the electrode thickness measurement more precise and quantitative, and fundamentally eliminating the situation of uneven overall electrode thickness.

[0096] Optionally, an equipment electrode thickness adjustment model is used to analyze abnormal electrode results and obtain equipment parameter adjustment instructions, including:

[0097] Import the data set of the directional region associated with the abnormal electrode results into the electrode thickness adjustment model of the equipment to obtain the adjustment strategy to be executed by the main roller;

[0098] Based on the adjustment strategy required by the main roller, a parameter adjustment command is generated and sent to the roller pressing equipment to adjust the spacing and pressure of the roller pressing area.

[0099] This embodiment also utilizes deep learning technology of the feedforward system to optimize and extensively train the main roll position and roll pressure adjustment strategies for controlling electrode thickness, thereby obtaining an electrode thickness adjustment model for the equipment. Based on the trained model, a feedback mechanism is added, combining the powerful analytical capabilities of the trained model with the stability of the feedback mechanism. Based on the powerful computing capabilities of the network model, the feedback mechanism is used to continuously correct the roll gap and pressure of the rolling equipment, so that the electrode thickness is kept within the set thickness range in real time, avoiding the problems of low prediction accuracy and low product qualification rate caused by relying solely on the data model.

[0100] Optionally, a parameter adjustment command is generated based on the adjustment strategy required for the main roll, and sent to the rolling equipment to adjust the spacing and pressure of the rolling zone, including:

[0101] The directional regions associated with the abnormal results of the electrode are identified. When the directional regions associated with the abnormal results of the electrode are the first directional region, the second directional region, or the third directional region of the main roller, the data groups of the corresponding regions are substituted into the adjustment strategies of the first directional region, the second directional region, or the third directional region of the main roller for calculation to obtain the main roller gap spacing of the adjusted first directional region, the second directional region, or the third directional region of the main roller.

[0102] Based on the main roll gap spacing in the first, second, or third direction region of the main roll, corresponding equipment parameter adjustment commands are generated and sent to the rolling equipment to control the rolling equipment to adjust the gap spacing and pressure in the first, second, or third direction region of the main roll.

[0103] The expression for the adjustment strategy of the first direction region of the main roller is:

[0104]

[0105] In the formula, To adjust the roll gap spacing in the first direction region of the main roll. These are the electrode thickness values ​​of the first and second data groups in the first direction region of the main roller, respectively. The thickness is the standard thickness for electrode manufacturing, and h is the adjustment amount. The initial position value of the main roller;

[0106] The expression for the adjustment strategy of the third-party region is:

[0107]

[0108] In the formula, To adjust the roll gap spacing in the third directional region, These are the electrode thickness values ​​for the first and second data groups in the third-direction region, respectively.

[0109] The expression for the second-direction region adjustment strategy is:

[0110]

[0111]

[0112] In the formula, To adjust the roll gap spacing in the second direction region, This is the pressure adjustment value. This is the initial pressure value. These represent the electrode thickness values ​​for the first, second, and third data groups in the second direction region, respectively. These are the electrode thickness coefficient and the electrode pressure coefficient, respectively.

[0113] In this embodiment, the first direction region of the main roller is the left side region of the main roller, the second direction region is the middle region of the main roller, and the third direction region is the right side region of the main roller. The adjustment region and adjustment priority are divided according to the shape of the main roller itself, which can cover the thickness abnormalities caused by various situations such as changes in electrode conveying speed, changes in rolling speed, and rolling springback. This allows for independent adjustment strategies for thickness abnormality regions before and after pressing, and ensures that the adjustment strategies can be flexibly switched. Ultimately, this ensures the stability of the rolling process and the uniformity of the overall electrode thickness, and reduces electrode thickness fluctuations.

[0114] Optionally, it also includes receiving a device reset signal;

[0115] The accumulated electrode anomaly results are cleared to zero based on the received device reset signal, and the number of electrode anomalies is re-accumulated; this reduces the amount of data and achieves the purpose of automatically clearing cached data, thereby improving the parsing and calculation speed.

[0116] Example 2

[0117] This embodiment provides an electrode thickness control system, including:

[0118] Thickness measurement unit, evaluation unit, instruction generation unit, communication unit, and alarm unit;

[0119] The thickness measurement unit is used to acquire the current electrode thickness data in real time;

[0120] The evaluation unit is used to obtain electrode anomaly results and accumulate the number of electrode anomalies based on the comparison results between the target thickness threshold and the electrode thickness data;

[0121] The instruction generation unit is used to analyze abnormal electrode results using the equipment electrode thickness adjustment model to obtain equipment parameter adjustment instructions;

[0122] The alarm unit is used to generate equipment alarm messages based on the comparison between the abnormality threshold and the cumulative number of electrode abnormalities.

[0123] The communication unit is used to send equipment parameter adjustment commands and equipment alarm messages to the roller pressing equipment to perform main roller spacing adjustment, pressure adjustment and output alarm information.

[0124] The system in this embodiment can achieve functional control of electrode thickness without relying on complex calculation models and software; secondly, the functions of each unit are simplified, combining the powerful analysis capabilities of the feedforward system and the real-time adjustment advantages of the closed-loop feedback system, while also having a data cache clearing function to release system resources, improve the system's operating speed and responsiveness, making the system more lightweight, efficient and stable.

[0125] Optionally, the thickness measuring unit communicates with the thickness gauge;

[0126] The thickness gauge includes a laser displacement sensor 101 composed of an up-and-down beam method, and the laser displacement sensor 101 is mounted on the first moving module 108 via a sensor fixing bracket 109;

[0127] The first moving module 108 is positioned corresponding to the upper and lower surfaces of the electrode 104, and drives the laser displacement sensor 101 to move along the width direction of the electrode 104; for example Figure 2 and Figure 3 The first moving module 108 shown is arranged correspondingly to the upper and lower surfaces of the electrode 104, and drives the laser displacement sensor 101 to move along the width direction of the electrode 104. The first moving module 108 is composed of a motor and a lead screw or linear motion mechanism or synchronous belt, as well as other linear motion mechanisms not limited to. The laser displacement sensor 101 is mounted on the linear motion mechanism, scans from the upper and lower surfaces of the electrode 104, and moves in the same direction along the width direction of the electrode 104 under the drive of the motor. At the same time, the electrode is continuously conveyed to the rolling equipment by the transmission mechanism to obtain the thickness value of each area of ​​the electrode 104 during the rolling process.

[0128] The thickness gauge is electrically connected to the host computer for real-time feedback of electrode thickness data;

[0129] The thickness gauge uses a digital signal processor to calculate and convert the laser displacement sensor 101 to obtain an analog signal of the electrode thickness in the area scanned by the laser displacement sensor 101. The analog signal is then converted back into a data signal by the signal processor to obtain the current electrode thickness data.

[0130] Figure 2 After the laser displacement sensor 101 emits laser displacement sensor incident light 102 to the upper and lower surfaces of the electrode 104, it receives the laser displacement sensor reflected light 103 reflected by the electrode 104. In this embodiment, the working principle of the laser displacement sensor 101 is laser triangulation measurement. Visible red laser light is shone onto the surface of the object being measured through a lens. The laser light reflected by the object passes through the receiver lens and is received by the internal CCD linear camera. Different laser distances are calculated. The CCD linear camera can also capture the reflected light point at different angles to obtain the reflection angle. Based on this reflection angle and the known distance between the laser and the camera, the digital signal processor can calculate the distance between the sensor and the object being measured, thus obtaining the current electrode thickness data. The thickness gauge controller calculates the thickness T of the electrode 104 based on the measurement distance S(A) 105 from the laser displacement sensor 101 to the upper surface of the electrode, the measurement distance S(B) 106 from the laser displacement sensor 101 to the lower surface of the electrode, and the total distance S(C) 107 between the upper and lower laser sensors, i.e., T = S(C) - S(A) - S(B). This directly and effectively obtains the relevant physical quantities, reducing the computation and resource consumption of the host computer. Finally, through the movement of the first moving module 108 and the transmission of the electrode 104, continuous and comprehensive multi-point measurement of the entire electrode 104 is performed, improving the accuracy of the thickness control of the electrode 104.

[0131] In addition, the servo or frequency conversion control system controls the motor to drive the required structure to move in one or two directions. The module drives the laser displacement sensor 101 to move through a linear motor, lead screw or synchronous belt, which makes the measurement process more automated.

[0132] The thickness gauge sends the thickness value T of electrode 104 to the host computer. The host computer software compares the thickness T of electrode 104 with the target thickness T′ of electrode 104. If the thickness T of electrode 104 is within the range of the target thickness T′, the equipment operates normally. If the thickness T of electrode 104 deviates from the range of the target thickness T′, the software uses a deep learning-based correlation model to identify the thickness anomaly correlation region and performs further data analysis. After analysis, adjustment commands for the main roll gap distance L and the roll pressure P are generated and then transmitted via Modbus. The TCP protocol sends data to the roll forming equipment controller. The controller reserves two arrays, A1{1...1000} and A2{1...1000}. Array A1{1...1000} is used to temporarily store 1000 sets of result data for the main roll 110 position, and array A2{1...1000} is used to temporarily store 1000 sets of result data for the roll pressure. The data stored in arrays A1{1...1000} and A2{1...1000} is used to feed back data to the host computer, such as... Figure 6 The thickness data set shown is analyzed through threshold judgment and input association model to identify the directional region associated with the abnormal results of the electrode sheet. Based on the directional region, the adjustment strategy to be executed by the main roll is obtained. The data set of the abnormal region is substituted into the corresponding adjustment strategy to calculate the corresponding roll gap value, thereby generating the equipment parameter adjustment command.

[0133] After the data in arrays A1{1...1000} and A2{1...1000} are fully received by the host computer software, the roller pressing equipment controller immediately clears arrays A1{1...1000} and A2{1...1000} to zero. After receiving the equipment parameter adjustment command, the roller pressing equipment controller issues a command to the second moving module 112 of the adjustment mechanism based on the main roller gap distance value L and the roll pressure value P. Finally, the second moving module 112 drives the two radial sides of the main roller 110 to perform corresponding adjustment actions.

[0134] Optionally, the communication unit communicates with the roller pressing equipment controller, wherein the roller pressing equipment includes: a second moving module 112, a main roller 110, a connecting frame 111, and an alarm device;

[0135] The two radial sides of the main roller 110 are connected to the second moving module 112 through two connecting frames 111 respectively, and the main roller 110 is located above the electrode 104;

[0136] The second moving module 112 is electrically connected to the roller pressing equipment controller and is used to independently control the second moving module 112 to drive the first radial side 113, the second radial side 114, and the middle of the main roller to move longitudinally relative to the electrode 104. The first radial side 113 of the main roller is located in the left side region of the main roller, i.e., the first direction region of the main roller; the middle is the middle region of the main roller, i.e., the second direction region; and the second side 114 is located in the right side region of the main roller, i.e., the third direction region. This allows for the adjustment of the roller gap spacing 115 in the first direction region, the roller gap spacing 116 in the third direction region, and the roller gap spacing 117 in the second direction region of the main roller, and the adjustment of the rolling pressure at the same time as the spacing adjustment.

[0137] The alarm device is electrically connected to the roller pressing equipment controller and includes an alarm light and a buzzer. Under the control of the roller pressing equipment controller, the alarm light and buzzer output alarm information, which facilitates timely maintenance of the roller pressing equipment and electrode 104 by the user.

[0138] In this embodiment, the second moving module 112 drives the radial sides and the middle of the main roller 110 to move flexibly up and down, so as to control the roller gap and pressure adjustment in the first direction area, the second direction area or the third direction area of ​​the main roller, so as to meet the dynamic control under the thickness fluctuation of the electrode sheet 104 in different areas; secondly, an alarm function is added when frequent adjustment occurs to remind equipment personnel to check, repair and adjust the equipment in time.

[0139] like Figure 4 and Figure 5 In this embodiment, the second moving module 112 is composed of the same components as the first moving module 108, consisting of a motor and other linear motion mechanisms such as a lead screw that drives the motor. The radial sides of the main roller 110 are respectively mounted on the linear motion mechanisms via connecting frames 111. The motor can be controlled individually or simultaneously to drive the corresponding linear motion mechanisms to perform corresponding up-and-down movements. Ultimately, the second moving module 112 drives the radial sides and the middle of the main roller 110 to perform independent longitudinal adjustments relative to the electrode 104, so as to dynamically control the roller gap spacing in the first direction region, the second direction region, or the third direction region of the main roller; to meet the dynamic control under the thickness fluctuation of the electrode 104; and to add an alarm function when frequent adjustments occur, to remind equipment personnel to check, repair, and adjust the equipment in a timely manner.

[0140] Optionally, the rolling mill is also equipped with an alarm reset button. After the user completes the maintenance of the equipment and electrode 104, the user can send a reset signal to the rolling mill controller by activating the alarm reset button, and forward it to the communication unit. This allows the evaluation unit to clear the accumulated number of electrode abnormalities and start accumulating again. This can achieve the purpose of clearing the data cache, thereby improving the parsing and calculation speed.

[0141] In summary, the method of the present invention can form a closed-loop feedback mechanism between the host computer and the rolling equipment, thereby achieving the purpose of real-time adjustment of the current electrode thickness. Compared with other control methods that rely on historical data models, it can effectively reduce errors in actual control and lower production costs.

[0142] Secondly, by dividing the adjustment area and adjustment priority according to the shape of the main roller itself, it can cover various factors such as changes in electrode conveying speed, changes in rolling speed, and rolling springback that cause thickness abnormalities and thickness fluctuations. This allows for independent adjustment strategies for the electrode thickness abnormality areas before and after pressing, and ensures that the adjustment strategies can be flexibly switched. Ultimately, this ensures the stability of the rolling process and the uniformity of the overall electrode thickness, avoiding significant thickness fluctuations in the overall electrode.

[0143] In practical applications, the sampling frequency and moving speed of the laser displacement sensor can be adjusted according to the change in the electrode conveying speed, thereby ensuring that the electrode can be measured from all angles. Furthermore, the number of sensors, the amount of electrode thickness data collected, and the number of areas can also be adjusted, so that this invention can be flexibly applied to electrodes of various sizes and models.

[0144] Finally, this invention trains a specific strategy for adjusting the position of the main roll and the pressure of the rolls to control the electrode thickness, thereby obtaining an electrode thickness adjustment model for the equipment. Simultaneously, to avoid overfitting of the training model, a feedback mechanism is added based on the powerful computational capabilities of the existing training model. This combines the strong analytical capabilities of the training model with the stability of the feedback mechanism, continuously correcting the roll gap and pressure of the rolling equipment, and controlling the electrode thickness to remain within the set thickness range in real time. This avoids the problems of low prediction accuracy and low product qualification rate caused by relying solely on the data model.

[0145] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The present invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, produce implementations of the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0146] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the functions specified in one or more boxes. The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art, under the guidance of the present invention, can make many modifications without departing from the spirit and scope of the claims, and all of these modifications are within the protection scope of the present invention.

Claims

1. A method for controlling electrode thickness, characterized in that, include: The host computer acquires the current electrode thickness data in real time; Based on the comparison between the target thickness threshold and the electrode thickness data, the electrode anomaly results are obtained and the number of electrode anomalies is accumulated; The abnormal electrode results were analyzed using the equipment electrode thickness adjustment model to obtain equipment parameter adjustment instructions; Based on the comparison between the threshold number of abnormalities and the cumulative number of electrode abnormalities, an equipment alarm message is generated; The equipment parameter adjustment command and equipment alarm message are respectively sent to the roller pressing equipment to perform main roller spacing adjustment, pressure adjustment and output alarm information; The host computer acquires the current electrode thickness data in real time, including: When the electrode enters the rolling equipment, the host computer controls the laser displacement sensor to move and scan along the width of the electrode to obtain multiple laser signals from multiple primary regions. Distance calculations were performed on multiple laser signals to obtain electrode thickness data for multiple primary regions; Based on the position of the main roller, the electrode thickness data of multiple primary regions are grouped directionally to obtain data groups of the first, second and third directional regions of the main roller. The average thickness of the electrode sheet in each region was obtained by averaging the data sets in each region and then calculating the average thickness of the electrode sheet in the three directions of the main roller. The electrode thickness adjustment model is used to analyze abnormal electrode results and obtain equipment parameter adjustment instructions, including: Import the data set of the directional region associated with the abnormal electrode results into the electrode thickness adjustment model of the equipment to obtain the adjustment strategy to be executed by the main roller; Based on the adjustment strategy required by the main roller, a parameter adjustment command is generated and sent to the roller pressing equipment to adjust the spacing and pressure of the roller pressing area. Based on the adjustment strategy required by the main roller, a parameter adjustment command is generated and sent to the roller pressing equipment to perform adjustments to the roller pressing zone spacing and pressure, including: The directional regions associated with the abnormal results of the electrode are identified. When the region associated with the abnormal results of the electrode is the first directional region, the second directional region, or the third directional region of the main roller, the data group of the corresponding region is substituted into the adjustment strategy of the first directional region, the adjustment strategy of the second directional region, or the adjustment strategy of the third directional region of the main roller for calculation, so as to obtain the main roller gap spacing of the first directional region, the second directional region, or the third directional region of the main roller. Based on the main roll gap spacing in the first, second, or third direction region of the main roll, corresponding equipment parameter adjustment commands are generated and sent to the rolling equipment to control the rolling equipment to adjust the gap spacing and pressure in the first, second, or third direction region of the main roll.

2. The electrode thickness control method according to claim 1, characterized in that, Based on the comparison between the target thickness threshold and the electrode thickness data, electrode anomaly results are obtained, including: The average electrode thickness in each directional region is compared with the corresponding target thickness threshold. If the electrode thickness in each directional region is within the corresponding target thickness threshold range, then a normal electrode result is obtained. If the average electrode thickness in any directional region deviates from the corresponding target thickness threshold range, an abnormal electrode result is obtained.

3. The electrode thickness control method according to claim 1, characterized in that, It also includes receiving device reset signals; The accumulated electrode abnormality results are cleared to zero based on the received device reset signal, and the number of electrode abnormalities is re-accumulated.

4. An electrode thickness control system, characterized in that, include: Thickness measurement unit, evaluation unit, instruction generation unit, communication unit, and alarm unit; The thickness measurement unit is used to acquire the current electrode thickness data in real time. The evaluation unit is used to obtain electrode anomaly results and accumulate the number of electrode anomalies based on the comparison results between the target thickness threshold and the electrode thickness data. The instruction generation unit is used to analyze the abnormal results of the electrode sheet using the equipment electrode sheet thickness adjustment model to obtain equipment parameter adjustment instructions; The alarm unit is used to generate an equipment alarm message based on the comparison between the abnormality number threshold and the cumulative electrode abnormality results; The communication unit is used to send equipment parameter adjustment commands and equipment alarm messages to the roller pressing equipment to perform main roller spacing adjustment, pressure adjustment and output alarm information, respectively. The thickness measuring unit communicates with the thickness gauge. The thickness gauge includes a laser displacement sensor arranged in an up-and-down shooting manner, and the laser displacement sensor is mounted on the first moving module; The first moving module is positioned corresponding to the upper and lower sides of the electrode, and drives the laser displacement sensor to move along the width direction of the electrode. The communication unit communicates with the controller of the roller pressing equipment; The roller pressing equipment includes: a second moving module, a main roller, a connecting frame, and an alarm device; The main roller is connected to the second movable module on both radial sides via two connecting frames, and the main roller is located above the electrode sheet; The second moving module is electrically connected to the roller pressing equipment controller and is used to independently control the second moving module to drive the two radial sides and the middle of the main roller to move longitudinally relative to the electrode, so as to adjust the roller gap and pressure of the electrode relative to the first direction area, the second direction area and the third direction area of ​​the main roller. The alarm device is electrically connected to the roller pressing equipment controller and is used to output alarm signals.

5. The electrode thickness control system according to claim 4, characterized in that, The rolling mill is also equipped with an alarm reset button, which is used to reset the accumulated number of electrode abnormalities to zero.

Citation Information

Patent Citations

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