Lithium battery coating alignment degree closed-loop adjusting system and method

Abstract

The invention discloses a lithium battery coating alignment degree closed-loop adjusting system and method, and relates to the technical field of lithium battery manufacturing. The system comprises a coating A die head, a first drying oven, a coating B die head, a second drying oven and a driving device which are arranged in sequence. The A coating die head is subjected to closed-loop adjustment through a detection device at an outlet of the first drying oven; a detection device at an outlet of the second drying oven is used for obtaining dislocation data, and a traversal optimization strategy is adopted for adjusting a B coating die head; a plurality of simulation deviation correction quantities are generated according to the minimum deviation correction resolution, and a numerical value with the optimal alignment degree statistical index is screened out through traversal calculation to serve as the optimal deviation correction quantity and executed. The method has the prediction simulation capability, can effectively avoid system oscillation, and improves the overall alignment quality of the multi-scroll pole pieces.

Description

Technical Field

[0001] This invention relates to the field of lithium battery electrode manufacturing technology, and in particular to a closed-loop adjustment system and method for lithium battery coating alignment. Background Technology

[0002] In the coating production process of lithium battery electrodes, the alignment of the front and back coatings is one of the key parameters determining the quality of the electrode. If the alignment is poorly controlled, the electrode is prone to exceeding dimensional limits in subsequent rolling processes, which may cause jamming or short circuits during cell winding or stacking assembly, seriously affecting the battery's safety performance and charge / discharge efficiency. In existing technologies, the adjustment of coating alignment usually adopts a threshold feedback-based control method, that is, when the detection device detects a deviation exceeding a preset threshold, the control system drives the die head to perform reverse correction.

[0003] However, as coating processes become wider and faster, this "detecting deviations and then correcting them" lag adjustment mode has significant limitations. Due to the time delay between mechanical transmission and system response, simple threshold feedback is prone to causing adjustment lag or over-adjustment during high-speed operation, which in turn causes the coating position to oscillate repeatedly on both sides of the standard line, making it difficult to meet the production requirements of high precision and high stability.

[0004] Therefore, how to construct a closed-loop control scheme that has predictive simulation capabilities, can avoid system oscillations, and improve the overall alignment quality of multiple electrode sheets has become an urgent technical problem to be solved. Summary of the Invention

[0005] The main objective of this invention is to provide a closed-loop adjustment system and method for lithium battery coating alignment, aiming to construct a closed-loop adjustment scheme with predictive simulation capabilities, which can avoid system oscillations and improve the overall alignment quality of multiple electrode sheets.

[0006] To achieve the above objectives, this invention proposes a closed-loop adjustment system for lithium battery coating alignment, comprising: The coating A die head, the first oven, the coating B die head and the second oven are arranged sequentially along the substrate transport direction, and the coating A drive device and the coating B drive device are used to drive the coating A die head and the coating B die head to move respectively. A coating A detection device is installed at the outlet of the first oven, which is used to adjust the position of the coating A die head in a closed loop according to the detection result through the coating A driving device; A coating B detection device is installed at the outlet of the second oven to detect the dimensional parameters of the coating A area and the coating B area and determine the current misalignment data. The system is configured to adjust the coating B head using a traversal optimization strategy: generating multiple simulated correction values ​​within a preset correction range based on the minimum correction resolution of the coating B head; substituting the multiple simulated correction values ​​into the misalignment data for traversal calculation to obtain a corresponding pre-correction result set; selecting the simulated correction value corresponding to the optimal value of the alignment statistical index from the pre-correction result set as the optimal correction value; and the coating B driving device is used to execute the optimal correction value.

[0007] Preferably, the coating B detection device is configured to detect the dimensional parameters of the coating A area and the coating B area in a manner that gradually increases from both sides of the edge towards the middle; The dimensional parameters of the coating A area and the coating B area include: dividing the coating A area and the coating B area into left and right sides respectively, and measuring the distance from the first distance to the nth distance from the left, the distance from the first distance to the nth distance from the right, and the distance from the first distance to the nth distance from the left, the distance from the right, and the distance from the first distance to the nth distance from the left, the distance from the right, and the distance from the right; wherein, the number of n depends on the number of strips coated.

[0008] Preferably, the misalignment data is determined as follows: The alignment of the current point is detected by the coating B detection device, and x-1 sets of detection data are obtained from the current point backward, for a total of x sets of alignment data; Calculate the mean of each alignment degree in the x sets of alignment degree data to obtain the mean of misalignment alignment degree, and use the mean of misalignment alignment degree as the current misalignment alignment degree data.

[0009] Preferably, before selecting the optimal alignment statistical index value from the pre-correction result set, the system is further configured to perform a positive correction determination: Compare the maximum absolute value in the misalignment data with the maximum absolute value of any result in the pre-correction result set; Remove results from the pre-correction result set whose maximum absolute value is greater than or equal to the maximum absolute value in the misalignment data.

[0010] Preferably, before selecting the optimal alignment statistical index value from the pre-correction result set, the system is further configured to perform an overcorrection determination: Set upper and lower limits for alignment; Calculate the absolute value of the difference between the first anti-left distance and the nth anti-right distance corresponding to each result in the pre-correction result set; The result is the one that is greater than or equal to the absolute value of the upper and lower alignment limits.

[0011] Preferably, the alignment statistics index is the average alignment value; The simulated correction amount corresponding to the optimal alignment statistical index value selected from the pre-correction result set specifically includes: Calculate the average alignment of each result in the pre-correction result set; Filter out valid results whose average alignment score is less than the average alignment score of the current misaligned data; The value with the smallest average alignment among the valid results is selected, and the corresponding simulated correction amount is the optimal correction amount.

[0012] Preferably, the system is configured to control the coating A driving device via the following logic: Set the alignment target value 'a' and the upper and lower alignment limits 'b', where b > a > 0; Calculate the difference MN between the mean M of the left pole ear and the mean N of the right pole ear in the A-coated area; If MN is between a and b, then control the correction amount of the A coating die head movement (ba) / 2; If MN is between -a and -b, then control the movement of the coating A die head by a correction amount of -(ba) / 2; If MN is greater than b, then control the correction amount of the A coating die head movement ba; If MN is less than -b, then control the movement of the coating A mold head by -(ba) correction amount.

[0013] Preferably, the mean value M of the left frontal ear and the mean value N of the right frontal ear are obtained as follows: The size parameters of the A-coated area at the current location are detected by the A-coating detection device; Obtain the width data of the left and right pole ears of x-1 groups forward from the current point; The arithmetic mean of x sets of data is calculated to obtain the mean M of the left frontal ear and the mean N of the right frontal ear.

[0014] Preferably, the system further includes: The coating A correction device installed on the input side of the coating A die head is used to center and correct the substrate before it enters the coating A die head. The coating correction device installed on the input side of the coating die head is used to center and correct the single-sided electrode sheet before it enters the coating die head.

[0015] Preferably, the coating A driving device and the coating B driving device are selected from any one of a servo motor driving mechanism, a linear motor driving mechanism, or a magnetic levitation driving mechanism.

[0016] This application also discloses a closed-loop adjustment method for lithium battery coating alignment, applied to the system described in any of the preceding claims, comprising the following steps: The size parameters of the A-coating area are detected by the A-coating detection device, and the A-coating die head is moved by the A-coating drive device to correct the position of the A-coating area. The dimensional parameters of the coating A area and the coating B area are detected using a coating B detection device, and the current misalignment data is determined. An ergonomic optimization strategy is adopted to determine the optimal correction amount of the coating B-type mold head. The ergonomic optimization strategy includes generating multiple simulated correction amounts within a preset correction range based on the minimum correction resolution of the coating B-type mold head. Substitute the multiple simulated correction values ​​into the misalignment data for traversal calculation to obtain the corresponding pre-correction result set; The simulated correction amount corresponding to the optimal value of the alignment statistical index is selected from the pre-correction result set and taken as the optimal correction amount. The coating B driving device is used to drive the coating B die head to move according to the optimal correction amount.

[0017] The above technical solution has the following advantages: This invention significantly improves the control accuracy and stability of coating alignment by constructing a closed-loop control logic that incorporates an traversal optimization strategy. Before executing the correction action, the system does not directly perform mechanical reverse adjustment based on the current deviation value. Instead, it generates multiple simulated correction values ​​based on the minimum resolution of the die head and substitutes these simulated values ​​into the current misalignment data for virtual calculation. By pre-evaluating the impact of different correction values ​​on the statistical indicators of all strip alignment, the system can select the globally optimal control command. This simulation optimization mechanism effectively avoids blind adjustments and system oscillations caused by local deviations, achieving optimal overall alignment quality across multiple strips while ensuring that individual strips do not exceed limits. It is particularly suitable for wide-width, high-speed, and multi-strip lithium battery electrode coating production scenarios. Attached Figure Description

[0018] The present invention will now be described in detail with reference to specific embodiments and accompanying drawings, wherein: Figure 1 This is a schematic diagram of the closed-loop adjustment system for lithium battery coating alignment provided in an embodiment of the present invention. Figure 2 A flowchart of a closed-loop adjustment method for lithium battery coating alignment provided in an embodiment of the present invention. Figure 3 The flowchart illustrates the logical control of the traversal optimization strategy provided in this embodiment of the 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. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0020] Example 1 like Figure 1 As shown, this embodiment provides a closed-loop adjustment system for lithium battery coating alignment. This system aims to solve problems such as excessive electrode rolling pressure, cell jamming, short circuits, and increased internal resistance caused by poor coating alignment in existing lithium battery electrode manufacturing processes. Existing technologies typically use simple threshold feedback for correction, i.e., adjusting in the opposite direction as soon as a deviation is detected. This method is prone to adjustment lag or over-adjustment in wide-width, high-speed coating, leading to system oscillation. This embodiment significantly improves the stability and yield of the coating process by constructing a closed-loop control architecture with predictive simulation capabilities.

[0021] In terms of hardware architecture, the adjustment system sequentially arranges a coating A die 1, a first oven, a coating B die 2, and a second oven along the transport direction of the substrate. The coating A die 1 is used for coating the front side of the substrate, and the coating B die 2 is used for coating the back side. To achieve high-precision control of the die position, the system is equipped with a coating A drive device 7 and a coating B drive device 8. The coating A drive device 7 is mechanically connected to the base of the coating A die 1, and the coating B drive device 8 is mechanically connected to the base of the coating B die 2. In this embodiment, considering the high responsiveness and precision requirements of the adjustment, the coating A drive device 7 and the coating B drive device 8 preferably employ servo motor drive mechanisms, utilizing the high-resolution characteristics of servo motors to achieve micron-level displacement control. In other optional embodiments, depending on the load and precision requirements of the production line, the drive devices can also be linear motor drive mechanisms or magnetic levitation drive mechanisms to eliminate the backlash caused by mechanical transmission clearances.

[0022] To achieve real-time monitoring and closed-loop feedback of the coating process, a coating A detection device 9 is installed at the exit of the first oven. Located at the lower exit of the oven, the primary function of the coating A detection device 9 is to detect the dimensional parameters of the front-side coating A area relative to the substrate edge after drying and setting. The advantage of this setup is that by using the dry film parameters as the adjustment benchmark, interference from changes in wet film flowability and shrinkage is eliminated, making the feedback data closer to the actual state of the final product. The coating A detection device 9 feeds the detection results back to the control unit, which uses the coating A drive device 7 to perform closed-loop adjustment of the position of the coating A die head 1, ensuring that the reference position for single-sided coating is always within the standard range.

[0023] A coating B detection device 10 is installed at the exit of the second oven. Located at the exit of the upper oven, the coating B detection device 10's core function is to simultaneously detect the dimensional parameters of the coating A area and the coating B area, and determine the current misalignment data accordingly. Since the electrode has already completed double-sided coating and drying at this point, the data obtained by the coating B detection device 10 directly reflects the final double-sided alignment quality of the electrode.

[0024] To further improve the stability of the substrate before entering the coating area, the system also includes a substrate correction unit. A coating correction device 3 is installed on the input side of the coating A die 1 to center and correct the substrate after unwinding before it enters the coating A die 1, ensuring that the substrate enters the first coating area in the correct posture. Correspondingly, a coating B correction device 4 is installed on the input side of the coating B die 2 to perform secondary centering and correction on the single-sided electrode sheet after drying in the first oven and before entering the coating B die 2. This segmented substrate correction design effectively counteracts the serpentine deviation caused by thermal expansion and contraction or tension fluctuations during long-distance transport and baking, providing a stable material basis for subsequent high-precision die adjustment.

[0025] Example 2 This embodiment is based on the hardware of Embodiment 1, combined with... Figure 2 The adjustment method flow shown focuses on the closed-loop adjustment logic of coating A die 1. In actual production, the stability of the front coating (coating A) is the foundation for subsequent double-sided coating and alignment. If the front coating position fluctuates frequently, the subsequent reverse coating (coating B) will struggle to keep up, easily leading to system instability. Therefore, this embodiment adopts a control strategy based on statistical mean and hierarchical adjustment for coating A die 1.

[0026] The A-coating inspection device 9 continuously inspects the electrodes after they pass through the first drying oven. To avoid erroneous adjustments caused by localized wrinkles, vibrations, or inspection noise in the substrate, the system does not operate based on a single inspection value but instead employs data smoothing. Specifically, the system acquires x-1 sets of inspection data from the current inspection point backwards, totaling x sets of width data for the left and right electrodes. The value of x is set according to the production line speed and inspection frequency, ensuring both statistical representativeness of the data and real-time adjustment. The system calculates the arithmetic mean of these x sets of data to obtain the average value M of the front left electrode and the average value N of the front right electrode.

[0027] The specific calculation logic is as follows: Assume the current detection point and the left ear data of the previous x-1 groups are as follows: The right ear data are as follows: ,but:

[0028] Based on the calculated mean values ​​M and N, the system calculates the difference MN between them, which reflects the offset trend of the coating area A relative to the center of the substrate. The control logic presets a target alignment value a and upper and lower alignment limits b, where b is greater than a and greater than 0. The target value a defines the optimal process window, while the upper and lower limits b define the acceptable tolerance range.

[0029] The system's adjustment logic is as follows: When the difference MN is between the target value a and the upper and lower limits b, it indicates that there is a certain deviation but it is not completely out of control. At this time, the correction amount of the coating A mold head 1 is controlled to move (ba) / 2. When the difference MN is between -a and -b, the coating die head 1 is moved in the reverse direction by a correction amount of -(ba) / 2. This half-amount correction strategy can avoid overshoot caused by full-amount adjustment.

[0030] When the difference MN is greater than the upper and lower limits b, it indicates that the deviation is large, and the system controls the movement of the coating A mold head 1 by the correction amount ba. Similarly, when the difference MN is less than -b, the correction amount of moving the A coating die 1 by -(ba) is controlled. Through this graded, damped adjustment strategy, the A coating die 1 can smoothly return to the center position, providing a stable reference for subsequent B coating alignment.

[0031] Example 3 This embodiment details the core innovation of the system—the traversal optimization adjustment strategy for coating mold head 2. In double-sided coating processes, simple error feedback adjustment often fails to ensure the overall alignment of multiple electrode sheets and is prone to oscillation. This embodiment introduces a "virtual correction" and "traversal optimization" algorithm mechanism to pre-simulate the effects of various correction schemes before executing physical actions, thereby selecting the globally optimal solution. The specific logic control flow is as follows: Figure 3 As shown.

[0032] First, the coating B detection device 10 detects the dimensional parameters of the coating A and coating B areas by progressively increasing the measurement from both sides of the edge towards the center. Taking a coating with n strips as an example, the coating A and coating B areas are each divided into left and right sides, and the distances from the first distance to the nth distance to the left, the first distance to the nth distance to the right, and the corresponding reverse side distance parameters are measured. This detection sequence design conforms to the physical law of lateral tensile deformation of the electrode sheet, effectively reducing the cumulative measurement error.

[0033] After obtaining the size parameters, the system calculates the current misalignment data. Since the front and back parameters are divided into left and right sides, the misalignment array... The calculation relationships are as follows:

[0034] in, Represents the frontal distance parameter. This represents the distance parameter between the two sides.

[0035] Similarly, to ensure data reliability, the system uses the paint B detection device 10 to detect the alignment of the current point and combines it with historical data to obtain a total of x sets of alignment data. The average value of these data is then calculated to obtain the mean misalignment degree, which serves as the basis for current control. This process effectively filters out high-frequency noise interference. The specific mean misalignment degree... The calculation is as follows:

[0036] Each item in the array (e.g.) All of them are The arithmetic mean of corresponding items in a set of data, i.e. And so on.

[0037] Subsequently, the system enters the traversal optimization phase. Based on the accuracy of the drive mechanism of the coating mold head 2, the system sets the minimum correction resolution. And set a maximum permissible preset correction range. Within this scope, the system generates multiple simulated correction values ​​at the algorithm level, for example: The system substitutes these simulated correction values ​​into the current misalignment data for virtual calculations to obtain the corresponding pre-correction result set. Pre-correction array The calculation is as follows:

[0038] For any simulated correction value, for example The corresponding alignment result is In other words, the system calculates "what the alignment of all the banners will be if I move this much distance" without moving the template.

[0039] To ensure the safety and effectiveness of the final correction, the system performs multiple logical filters on the pre-correction result set: The first filter is a positive correction judgment. The system compares the maximum absolute value in the current actual misalignment data with the maximum absolute value of any result in the pre-correction result set. If the maximum absolute value caused by a certain simulated correction is larger than the current state, it indicates that the operation will worsen the alignment of the worst banner, and the system will directly discard the result.

[0040] The second level is overcorrection judgment. The system sets upper and lower limits for alignment. For each result in the pre-correction result set, the system calculates its corresponding tab width, such as the difference between the first anti-left distance and the 2n-th anti-right distance. The judgment condition is:

[0041] in, The first distance to the left is the reverse distance. This is the 2n-th distance to the right. If the simulation results show that the absolute value of the difference in the width of one side of the electrode exceeds the upper and lower limits allowed by the process... This indicates that the correction amount would cause the coating to deviate from the effective area of ​​the substrate or the tab to be too narrow, and the system will reject the result. This logic fully considers the physical limitations of fixed gasket size in actual production.

[0042] The third step is the optimal indicator selection. From the valid results after the above two rounds of selection, the system calculates the alignment statistics for each result, and preferentially uses the average alignment score. The calculation formula is as follows:

[0043] The system filters out valid results whose average alignment is less than the current actual state, and selects the one with the smallest average alignment among them.

[0044] The simulated correction amount corresponding to this minimum value is identified by the system as the "optimal correction amount" at the current moment. Finally, the coating B drive device 8 receives the instruction and drives the coating B die head 2 to precisely execute this optimal correction amount. Through this "planning before acting" strategy, the system not only solves the current alignment deviation, but also ensures the optimization of the overall alignment quality of all stripes in terms of mathematical expectation, avoiding the local optimization dilemma of "pressing down the gourd and the ladle floats up", and significantly improving the consistency and yield of wide-width multi-strip coating.

[0045] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A lithium battery coating alignment closed loop adjustment system, characterized in that, The system comprises: a coating A die, a first oven, a coating B die and a second oven arranged in sequence along the substrate conveying direction, and a coating A driving device and a coating B driving device for driving the coating A die and the coating B die to move, respectively; a coating A detection device arranged at the outlet of the first oven, for adjusting the position of the coating A die through the coating A driving device according to the detection result; a coating B detection device arranged at the outlet of the second oven, for detecting the size parameters of the coating A film area and the coating B film area and determining the current misalignment alignment data; wherein the system is configured to adjust the coating B die by using a traversal optimization strategy: according to the minimum correction resolution of the coating B die, a plurality of simulated correction amounts are generated within a preset correction range; the plurality of simulated correction amounts are substituted into the misalignment alignment data for traversal calculation to obtain a corresponding pre-correction result set; from the pre-correction result set, the simulated correction amount corresponding to the value of the optimal alignment statistical index is selected as the optimal correction amount; the coating B driving device is used to execute the optimal correction amount.

2. The lithium battery coating alignment closed loop adjustment system of claim 1, wherein, The coating B detection device is configured to detect the size parameters of the coating A film area and the coating B film area in a manner of gradually increasing from the edges to the middle; The size parameters of the coating A film area and the coating B film area include: the coating A film area and the coating B film area are respectively divided into left and right sides, and the positive left first distance to the positive left nth distance, the positive right first distance to the positive right nth distance, and the reverse left first distance to the reverse left nth distance, and the reverse right first distance to the reverse right nth distance are measured, respectively; wherein the number of n depends on the number of coating strips.

3. The lithium battery coating alignment closed loop adjustment system of claim 1, wherein, The determination method of the misalignment alignment data is: detecting the alignment of the current point by the coating B detection device, and obtaining the detection data of x-1 groups of points from the current point, a total of x groups of alignment data; calculating the mean value of each alignment in the x groups of alignment data to obtain the misalignment alignment mean value, and taking the misalignment alignment mean value as the current misalignment alignment data.

4. The lithium battery coating alignment closed loop adjustment system of claim 1, wherein, Before the system selects the value of the optimal alignment statistical index from the pre-correction result set, it is also configured to perform a positive correction judgment: compare the maximum absolute value in the misalignment alignment data with the maximum absolute value of any result in the pre-correction result set; eliminate the results in the pre-correction result set whose maximum absolute value is greater than or equal to the maximum absolute value in the misalignment alignment data.

5. The lithium battery coating alignment closed loop adjustment system of claim 2, wherein, Before the system selects the value of the optimal alignment statistical index from the pre-correction result set, it is also configured to perform an over-correction judgment: set the upper and lower limit values of the alignment; calculate the absolute value of the difference between the reverse left first distance and the reverse right nth distance corresponding to each result in the pre-correction result set; eliminate the results whose absolute value of the difference is greater than or equal to the absolute value of the upper and lower limit values of the alignment.

6. The lithium battery coating alignment closed loop adjustment system of claim 1, wherein, The alignment statistical index is the average value of the alignment; The specific steps of selecting the simulated correction amount corresponding to the value of the optimal alignment statistical index from the pre-correction result set include: calculating the average value of the alignment of each result in the pre-correction result set; Screening the effective results with average alignment less than the average alignment of the current misalignment alignment data; Selecting the value with the minimum average alignment from the effective results, and the corresponding simulated correction amount is the optimal correction amount.

7. The lithium battery coating alignment closed loop adjustment system of claim 1, wherein, The system is configured to control the coating A driving device through the following logic: Setting the alignment target value a and the alignment upper and lower limit value b, where b > a > 0; Calculating the difference M-N between the front left tab average M and the front right tab average N of the coating A film area; If M-N is between a and b, control the coating A die to move the correction amount of (b-a) / 2; If M-N is between -a and -b, control the coating A die to move the correction amount of -(b-a) / 2; If M-N is greater than b, control the coating A die to move the correction amount of b-a; If M-N is less than -b, control the coating A die to move the correction amount of -(b-a).

8. The lithium battery coating alignment closed loop adjustment system of claim 7, wherein, The front left tab average M and the front right tab average N are obtained in the following way: Detecting the size parameters of the coating A film area at the current point by the coating A detection device; Obtaining the left tab and right tab width data of the x-1 groups from the current point forward; Calculating the arithmetic mean of the x groups of data to obtain the front left tab average M and the front right tab average N.

9. The lithium battery coating alignment closed loop adjustment system of claim 1, wherein, The system further comprises: A coating A correction device arranged on the input side of the coating A die for centering and correcting the substrate before entering the coating A die; A coating B correction device arranged on the input side of the coating B die for centering and correcting the single-sided tab before entering the coating B die.

10. The lithium battery coating alignment closed loop adjustment system of claim 1, wherein, The coating A driving device and the coating B driving device are selected from any one of a servo motor driving mechanism, a linear motor driving mechanism or a magnetic suspension driving mechanism.

11. A method for closed loop regulation of coating alignment in lithium batteries, applied to the system of any of claims 1-10, characterized in that, The method comprises the following steps: Detecting the size parameters of the coating A film area by the coating A detection device and driving the coating A die to move to correct the position of the coating A film area by the coating A driving device; Detecting the size parameters of the coating A film area and the coating B film area by the coating B detection device and determining the current misalignment alignment data; Determining the optimal correction amount of the coating B die by using the traversal optimization strategy, which includes generating a plurality of simulated correction amounts within a preset correction range according to the minimum correction resolution of the coating B die; Substituting the plurality of simulated correction amounts into the misalignment alignment data for traversal calculation to obtain a set of pre-correction results; Selecting the simulated correction amount corresponding to the value with the optimal alignment statistical index from the set of pre-correction results as the optimal correction amount; Driving the coating B die to move according to the optimal correction amount by the coating B driving device.

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