Battery pole piece production coating control method, system, and apparatus

Abstract

The application provides a battery pole piece production coating control method, system and equipment, and relates to the field of battery production control. The method accurately obtains a first feedback control parameter through a first target function, and compensates for coating film width deviation caused by factors such as substrate tension fluctuation, slurry viscosity change and substrate lateral deviation by using the first feedback control parameter. In addition, the method accurately obtains a second feedback control parameter by fully utilizing misregistration data between the front and back surfaces of the battery pole piece, and compensates for edge misregistration of double-sided coating films caused by factors such as substrate misregistration and tension fluctuation by using the second feedback control parameter. The two feedback control parameters can be decoupled through model predictive control means, thereby inhibiting mutual interference between control loops, improving coating consistency of the battery pole piece, and improving energy density and safety of the battery.

Description

Technical Field

[0001] This invention relates to the field of battery production control, and in particular to a method, system and equipment for controlling the coating of battery electrodes. Background Technology

[0002] The coating process for battery electrodes is a crucial step in lithium-ion battery manufacturing. This process involves applying battery slurry to the electrode substrate, requiring high-precision control of the coating film width. After coating the front side, a wet film is formed, which is then dried in an oven to form a dry film. Coating the back side then forms another wet film, which is subsequently dried to form yet another dry film. Because these are two separate coating processes, they are susceptible to interference from factors such as dimensional fluctuations and misalignment, affecting the final coating effect. Furthermore, the strong coupling between dimensional and positional control causes interference in the adjustment parameters, making decoupling difficult and ultimately reducing the consistency of the battery electrodes. This not only affects the battery's energy density but also its safety. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a coating control method, system, and equipment for battery electrode production. This method accurately obtains a first feedback control parameter through a first objective function, and uses the first feedback control parameter to compensate for coating width deviations caused by factors such as substrate tension fluctuations, slurry viscosity changes, and substrate lateral deviation. Furthermore, this method fully utilizes the misalignment data between the front and back sides of the battery electrode substrate to accurately obtain a second feedback control parameter, and uses the second feedback control parameter to compensate for edge misalignment of the double-sided coating caused by substrate misalignment and tension fluctuations. The above two feedback control parameters can be decoupled through model predictive control, thereby suppressing mutual interference between control loops, improving the coating consistency of the battery electrode, and enhancing battery energy density and safety.

[0004] In a first aspect, embodiments of the present invention provide a coating control method for battery electrode production, the method being applied to a coating control device for battery electrode production; the method includes:

[0005] Determine the initial control parameters corresponding to the vision measurement unit, die head movement unit, and deviation correction unit deployed in the coating control equipment for battery electrode production, and determine the target film width value corresponding to the battery electrode.

[0006] The vision measurement unit is controlled to acquire the film width data of the first coating surface of the battery electrode in real time, and the first feedback control parameter corresponding to the die head moving unit under the film width data is determined by the first objective function; wherein, the first objective function is determined by the target film width value and the adjustment value corresponding to the die head moving unit;

[0007] The dry film corresponding to the first coating surface and the wet film corresponding to the second coating surface are obtained. The vision measurement unit is controlled to calculate the misalignment data between the wet film and the dry film in real time. The misalignment data is used to determine the second feedback control parameters corresponding to the die head moving unit and the deviation correction unit.

[0008] After updating the initial control parameters based on the first and second feedback control parameters, the real-time control parameters corresponding to the battery electrode production coating control equipment are obtained. The real-time control parameters are then used to control the coating of the battery electrodes by the battery electrode production coating control equipment.

[0009] Optionally, the vision measurement unit is controlled to acquire film width data of the first coated surface of the battery electrode in real time, including:

[0010] Once the wet film coating of the first coating surface of the battery electrode is detected, the vision measurement unit is controlled to acquire continuous sampling data of the first coating surface of the battery electrode in real time according to the preset sampling time.

[0011] Calculate and obtain the moving range and average value of the continuously sampled data, and use the moving range and average value to determine the outlier judgment interval corresponding to the continuously sampled data;

[0012] Outlier values ​​in the continuous sampled data are determined by the outlier determination interval, and the continuous sampled data are updated by the moving average between adjacent sampled data corresponding to the outlier values.

[0013] Using the moving average filtering result corresponding to the continuously sampled data updated under the preset size window, the film width data of the first coating surface of the battery electrode is calculated and obtained.

[0014] Optionally, the first feedback control parameters corresponding to the die head moving unit under the film width data are determined using the first objective function, including:

[0015] The wet film size in the first coating surface is obtained using film width data;

[0016] The dry film size corresponding to the wet film size is determined by a pre-constructed dry film conversion formula; wherein, the dry film conversion formula is: ; Dry film size; This refers to the wet film size; This is the proportionality coefficient; This is the compensation coefficient;

[0017] Calculate the size error value corresponding to the film width data based on the dry film size and wet film size, and use the size error value to determine the weight matrix corresponding to the first objective function;

[0018] The first objective function is determined based on the wet film size, weight matrix, and adjustment parameters corresponding to the mold head moving unit.

[0019] The die head distance adjustment value corresponding to the die head moving unit when the minimum value of the first objective function output is obtained, and the first constraint condition of the die head moving unit is determined by the adjustment range and adjustment rate corresponding to the die head distance adjustment value; wherein, the die head distance adjustment value is used to adjust the distance between the lip of the coating die head and the substrate of the battery electrode in the die head moving unit;

[0020] The first feedback control parameters corresponding to the mold head moving unit are determined by the first constraint condition.

[0021] Optionally, the step of determining the first objective function based on the wet film size, weight matrix, and adjustment parameters corresponding to the die head moving unit includes:

[0022] Determine the target film width value corresponding to the wet film size, and determine the adjustment increment corresponding to the adjustment parameters of the die head moving unit;

[0023] The error weight matrix corresponding to the size error value and the first increment weight matrix corresponding to the adjustment increment are determined based on the weight matrix.

[0024] The prediction time domain and control time domain corresponding to the mold head moving unit are determined based on the adjustment parameters;

[0025] By wet film size Target membrane width value Adjusting the increment Error weight matrix First Incremental Weight Matrix Prediction time domain and control time domain Determine the first objective function ;in, .

[0026] Optionally, the first constraint condition of the die head moving unit is determined using the adjustment range and adjustment rate corresponding to the die head distance adjustment value, including:

[0027] The adjustment range corresponding to the mold head distance adjustment value is determined by using the threshold value of the difference between adjacent step sizes corresponding to the adjustment increment.

[0028] The adjustment rate corresponding to the mold head distance adjustment value is determined based on the single-step adjustment rate limit value corresponding to the adjustment increment.

[0029] The first constraint condition of the mold head moving unit is determined by adjusting the range and the adjustment rate; wherein, the first constraint condition is: ;in, and To adjust the minimum and maximum values ​​of the range; This is the single-step adjustment rate limit value; .

[0030] Optionally, the steps of acquiring the dry film corresponding to the first coating surface and the wet film corresponding to the second coating surface, controlling the vision measurement unit to calculate the misalignment data between the wet film and the dry film in real time, and using the misalignment data to determine the second feedback control parameters corresponding to the die head movement unit and the deviation correction unit include:

[0031] When it is detected that the second coating surface of the battery electrode has completed wet film coating and the first coating surface has completed dry film drying, the vision measurement unit is controlled to acquire the first sampling data of the first coating surface and the second sampling data of the second coating surface in real time according to the preset sampling time.

[0032] The control vision measurement unit uses the first and second sampling data to calculate the misalignment data between the wet film and the dry film, and obtains the position data of the misalignment data in the battery electrode.

[0033] The weight values ​​corresponding to misaligned data are determined using location data. A second objective function is constructed using these weight values ​​to determine the corresponding misalignment weight matrix and the location data. ; These are the misalignment data corresponding to adjacent battery electrodes; These are the misalignment weight matrices corresponding to adjacent battery electrodes;

[0034] Obtain the mold head lateral movement adjustment value corresponding to the mold head moving unit when the output of the second objective function reaches its minimum value, and use the mold head lateral movement adjustment value to determine the second constraint condition of the mold head moving unit;

[0035] The intervention strategies for the mold head moving unit and the deviation correction unit are determined by the second constraint conditions, and the second feedback control parameters corresponding to the mold head moving unit and the deviation correction unit are determined according to the intervention strategies.

[0036] Optionally, the second constraint condition for the die head moving unit is determined using the die head lateral movement adjustment value, including:

[0037] Obtain the misalignment threshold corresponding to the mold head moving unit. ;

[0038] Adjust the value by moving the die head laterally. With misalignment threshold The comparison relationship determines the second constraint condition of the mold head moving unit; wherein, the second constraint condition is: .

[0039] Optionally, the real-time control parameters corresponding to the battery electrode production coating control equipment are obtained by updating the initial control parameters based on the first and second feedback control parameters, including:

[0040] The wet film width measurement value is determined by the first feedback control parameter. Target membrane width value Error weight matrix First Incremental Weight Matrix And the die head distance adjustment value corresponding to the die head moving unit ;

[0041] The misalignment data between the wet film and the dry film is determined by the second feedback control parameter. Misaligned weight matrix Second incremental weight matrix And the corresponding die head lateral movement adjustment value of the die head moving unit ;

[0042] Utilizing the film width measurement value of the wet film Target membrane width value Error weight matrix First Incremental Weight Matrix The die head distance adjustment value corresponding to the die head moving unit Misalignment data between wet and dry films Misaligned weight matrix Second incremental weight matrix And the corresponding die head lateral movement adjustment value of the die head moving unit Construct a third objective function; where, the third objective function ;

[0043] When the minimum value of the third objective function output is obtained, the corresponding die head distance adjustment value and die head lateral movement adjustment value of the die head moving unit are obtained.

[0044] After updating the initial control parameters by using the die head distance adjustment value and the die head lateral movement adjustment value, the real-time control parameters corresponding to the battery electrode production coating control equipment are obtained.

[0045] Secondly, the present invention provides a coating control system for battery electrode production, which is applied to coating control equipment for battery electrode production; the system includes:

[0046] The initialization unit is used to determine the initial control parameters corresponding to the vision measurement unit, die head movement unit and deviation correction unit deployed in the battery electrode production coating control equipment, and to determine the target film width value corresponding to the battery electrode.

[0047] The first feedback control parameter determination unit is used to control the vision measurement unit to acquire the film width data of the first coating surface of the battery electrode in real time, and to determine the first feedback control parameter corresponding to the mold head moving unit under the film width data using the first objective function; wherein, the first objective function is determined by the target film width value and the adjustment value corresponding to the mold head moving unit;

[0048] The second feedback control parameter determination unit is used to obtain the dry film corresponding to the first coating surface and the wet film corresponding to the second coating surface, control the vision measurement unit to calculate the misalignment data between the wet film and the dry film in real time, and use the misalignment data to determine the second feedback control parameters corresponding to the die head movement unit and the deviation correction unit.

[0049] The coating control execution unit is used to update the initial control parameters based on the first feedback control parameters and the second feedback control parameters to obtain the real-time control parameters corresponding to the battery electrode production coating control equipment, and to use the real-time control parameters to control the coating of the battery electrode by the battery electrode production coating control equipment.

[0050] Thirdly, embodiments of the present invention also provide a coating control device for battery electrode production, which includes a vision measurement unit, a die head movement unit, a deviation correction unit, and a control unit; wherein the control unit is connected to the vision measurement unit, the die head movement unit, and the deviation correction unit respectively.

[0051] The control unit includes a processor and a memory, the memory storing computer-executable instructions that can be executed by the processor, and the processor executing the computer-executable instructions to implement the battery electrode production coating control method provided in the first aspect.

[0052] This invention provides a method, system, and equipment for controlling the coating process in battery electrode production. The method is applied to a battery electrode production coating control equipment. During the process of controlling the coating of battery slurry onto the battery electrode substrate, the method first determines the initial control parameters corresponding to the vision measurement unit, die movement unit, and deviation correction unit deployed in the battery electrode production coating control equipment, and determines the target film width value corresponding to the battery electrode. Then, it controls the vision measurement unit to acquire film width data of the first coating surface of the battery electrode in real time, and uses a first objective function to determine the first feedback control parameters corresponding to the die movement unit under the film width data. Wherein, the first... The objective function is determined by the target film width value and the adjustment value corresponding to the die head moving unit. Then, the dry film corresponding to the first coating surface and the wet film corresponding to the second coating surface are acquired. The vision measurement unit is controlled to calculate the misalignment data between the wet film and the dry film in real time. The misalignment data is used to determine the second feedback control parameters corresponding to the die head moving unit and the deviation correction unit. Finally, the initial control parameters are updated based on the first and second feedback control parameters to obtain the real-time control parameters corresponding to the battery electrode production coating control equipment. The real-time control parameters are then used to control the battery electrode production coating control equipment to perform coating control on the battery electrode. This method accurately obtains the first feedback control parameter through a first objective function, and uses the first feedback control parameter to compensate for coating width deviations caused by factors such as substrate tension fluctuations, slurry viscosity changes, and substrate lateral deviation. In addition, this method fully utilizes the misalignment data between the front and back sides of the battery electrode substrate to accurately obtain the second feedback control parameter, and uses the second feedback control parameter to compensate for edge misalignment of the double-sided coating caused by factors such as substrate misalignment and tension fluctuations. The above two feedback control parameters can be decoupled through model predictive control, thereby suppressing mutual interference between control loops, improving the coating consistency of the battery electrode, and improving battery energy density and safety.

[0053] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0054] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0055] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0056] Figure 1 A flowchart of a coating control method for battery electrode production provided in an embodiment of the present invention;

[0057] Figure 2 In step S102 of the battery electrode production coating control method provided in this embodiment of the invention, a flowchart is shown showing the process of controlling the vision measurement unit to acquire the film width data of the first coating surface of the battery electrode in real time.

[0058] Figure 3 In step S102 of the coating control method for battery electrode production provided in this embodiment of the invention, a flowchart is shown below which the first feedback control parameter corresponding to the die head moving unit is determined using the first objective function under the film width data.

[0059] Figure 4 This is a flowchart of step S304 in a battery electrode production coating control method provided in an embodiment of the present invention;

[0060] Figure 5 In step S305 of the coating control method for battery electrode production provided in this embodiment of the invention, a flowchart is shown for determining the first constraint condition of the die head moving unit using the adjustment range and adjustment rate corresponding to the die head distance adjustment value.

[0061] Figure 6 A flowchart of step S103 in a battery electrode coating control method provided in this embodiment of the invention;

[0062] Figure 7 In step S604 of the coating control method for battery electrode production provided in this embodiment of the invention, a flowchart is shown showing the second constraint condition of the die head moving unit determined by the die head lateral movement adjustment value.

[0063] Figure 8 In step S104 of the battery electrode production coating control method provided in this embodiment of the invention, a flowchart is shown below to obtain the real-time control parameters corresponding to the battery electrode production coating control equipment after updating the initial control parameters based on the first feedback control parameters and the second feedback control parameters.

[0064] Figure 9 A flowchart of another battery electrode coating control method provided in an embodiment of the present invention;

[0065] Figure 10 This is a schematic diagram of a battery electrode production coating control system provided in an embodiment of the present invention;

[0066] Figure 11 This is a schematic diagram of the structure of a battery electrode production coating control device provided in an embodiment of the present invention;

[0067] Figure 12 This is a schematic diagram of the control unit in a battery electrode production coating control device provided in an embodiment of the present invention.

[0068] icon:

[0069] 1010 - Initialization unit; 1020 - First feedback control parameter determination unit; 1030 - Second feedback control parameter determination unit; 1040 - Coating control execution unit;

[0070] 1110 - Visual measurement unit; 1120 - Head movement unit; 1130 - Deviation correction unit; 1140 - Control unit;

[0071] 101 - Processor; 102 - Memory; 103 - Bus; 104 - Communication interface. Detailed Implementation

[0072] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0073] To facilitate understanding of this embodiment, a detailed description of a battery electrode coating control method disclosed in this invention will be provided first. Specifically, this method is applied to battery electrode coating control equipment; such as... Figure 1 As shown, the method includes:

[0074] Step S101: Determine the initial control parameters corresponding to the vision measurement unit, die head movement unit, and deviation correction unit deployed in the battery electrode production coating control equipment, and determine the target film width value corresponding to the battery electrode.

[0075] First, the initial parameters and targets for coating control are initialized: on the one hand, the initial control parameters of the three core functional units in the coating control equipment for battery electrode production are clarified, namely the vision measurement unit, the die head movement unit, and the deviation correction unit, laying the foundation for precise control of the subsequent coating process; on the other hand, the corresponding target film width value is determined in combination with the design specifications and performance requirements of the battery electrode. This target value will serve as the core benchmark for subsequent film width deviation judgment and control parameter adjustment.

[0076] Step S102: Control the vision measurement unit to acquire the film width data of the first coating surface of the battery electrode in real time, and use the first objective function to determine the first feedback control parameter corresponding to the mold head moving unit under the film width data; wherein, the first objective function is determined by the target film width value and the adjustment value corresponding to the mold head moving unit.

[0077] During the coating process on the first coating surface (which can be described as the front side of the electrode), the vision measurement unit continuously collects and monitors the film width data of this coating surface in real time. Based on a preset first objective function (which is constructed by the target film width value and the adjustment amount of the die head moving unit, and can accurately quantify the correspondence between film width deviation and die head adjustment action), the real-time collected film width data is then substituted into the calculation to finally determine the first feedback control parameter adapted to the current film width deviation. This parameter will directly act on the die head moving unit to compensate for the coating width deviation caused by dynamic factors such as substrate tension fluctuations, slurry viscosity changes, and substrate lateral deviation, ensuring the stability of the film width on the first coating surface.

[0078] Step S103: Obtain the dry film corresponding to the first coating surface and the wet film corresponding to the second coating surface, control the vision measurement unit to calculate the misalignment data between the wet film and the dry film in real time, and use the misalignment data to determine the second feedback control parameters corresponding to the die head moving unit and the deviation correction unit.

[0079] After the first coating surface is coated and dried to form a dry film, the second coating surface (which can be described as the back of the electrode) is coated. Once a wet film forms on the back, the vision measurement unit is immediately controlled to perform precise alignment detection between the dry film on the first coating surface and the wet film on the second coating surface, calculating and acquiring edge misalignment data between them in real time. Based on this misalignment data, the influence of factors such as substrate misalignment and tension fluctuations on the edge alignment of the double-sided coating is further analyzed, thereby determining the second feedback control parameter that simultaneously adapts to the die head movement unit and the deviation correction unit. This parameter is mainly used to compensate for the double-sided coating edge misalignment problem caused by the above factors, ensuring the positional consistency of the coating on both sides of the electrode.

[0080] Step S104: After updating the initial control parameters based on the first and second feedback control parameters, the real-time control parameters corresponding to the battery electrode production coating control equipment are obtained, and the real-time control parameters are used to control the battery electrode production coating control equipment to perform coating control on the battery electrode.

[0081] To resolve the coupling interference between the two control parameters, the first feedback control parameter obtained in step S102 and the second feedback control parameter obtained in step S103 are fused together. Based on this, the initial control parameters determined in step S101 are iteratively updated to generate real-time control parameters adapted to the current coating conditions. Subsequently, these real-time control parameters are sent to each execution unit of the battery electrode production coating control equipment to achieve dynamic real-time control of the coating process, ensuring coating accuracy and consistency.

[0082] Optionally, the vision measurement unit can be controlled to acquire the film width data of the first coated surface of the battery electrode in real time, such as... Figure 2 As shown, it includes:

[0083] Step S201: After the first coating surface of the battery electrode is detected to have completed wet film coating, the vision measurement unit is controlled to acquire continuous sampling data of the first coating surface of the battery electrode in real time according to the preset sampling time.

[0084] First, precise control of the sampling timing is crucial. Once the wet film coating process on the first coated surface of the battery electrode is detected, the vision measurement unit is immediately triggered to initiate real-time data acquisition according to the preset sampling duration, continuously acquiring continuous sampling data from the first coated surface. The sampling node is chosen after the wet film is completed because the film width has not yet shrunk or changed shape due to the subsequent drying process, which can more accurately reflect the real-time coating effect of the coating die. The preset sampling time ensures that the collected dataset has sufficient continuity and representativeness, providing a reliable foundation for subsequent data processing.

[0085] Step S202: Calculate and obtain the moving range and average value of the continuous sampling data, and use the moving range and average value to determine the outlier judgment interval corresponding to the continuous sampling data.

[0086] A preliminary statistical analysis is performed on the continuous sampling data obtained in step S201, and the moving range of the data set is calculated. (Reflecting the degree of instantaneous fluctuation in data) and average value (Reflecting the central trend of the data). Then, based on the calculated moving range and average value, an outlier determination interval is constructed that fits the characteristics of the current sampled data. This interval is essentially a quantitative definition of the fluctuation range of film width data under normal coating conditions, providing a clear judgment standard for subsequent screening of outlier data and avoiding the impact of outlier data caused by accidental interference on the accuracy of film width calculation. For example, the upper limit of the outlier determination interval. Can be set to The lower limit of the outlier detection interval Can be set to .

[0087] Step S203: Determine the outliers in the continuous sampling data through the outlier determination interval, and update the continuous sampling data using the moving average between adjacent sampling data corresponding to the outliers.

[0088] The continuously sampled data is compared one by one with the outlier judgment interval determined in step S202 to accurately identify abnormal data that exceeds the interval range (such data is usually caused by non-systematic factors such as instantaneous equipment vibration and light interference, and has no reference value). To ensure the integrity and reliability of the data sequence, for the identified outliers, the moving average of their adjacent normal sampled data is used to replace and update them, thereby eliminating the influence of interference factors and obtaining corrected continuous sampled data that more closely reflects the actual coating state.

[0089] For example, if there are several consecutive outliers in the continuously sampled data, they are identified as outliers and removed, replaced by the moving average.

[0090] Step S204: Calculate and obtain the film width data of the first coating surface of the battery electrode using the moving average filtering result corresponding to the continuously sampled data updated under the preset size window.

[0091] A sliding window of a preset size is used to perform moving average filtering on the continuously sampled data updated in step S203; for example, for a window size of... Raw CCD data inside The filtering is performed, and the result of the moving average filtering is: This filtering operation further smooths out minor fluctuations in the data, improving data stability. Finally, based on the filtered results, the film width of the first coated surface of the battery electrode is calculated. This data is both real-time and accurate, and can be directly used as the core input for subsequent calculations of the first feedback control parameters.

[0092] Optionally, the first feedback control parameters corresponding to the die head moving unit under the film width data are determined using the first objective function, such as... Figure 3 As shown, it includes:

[0093] Step S301: Obtain the wet film size in the first coating surface using film width data.

[0094] First, based on the filtered and noise-reduced first coating film width data output in step S204, the actual size of the current wet film on the first coating surface is accurately extracted. This extracted wet film size is the core foundational data for all subsequent calculations, and its accuracy directly determines the reliability of subsequent control parameters. Because the wet film state is an immediate reflection of the coating process and is a stage where die adjustment can be directly applied, building control logic based on this allows for timely intervention in film width deviations.

[0095] Step S302: Determine the dry film size corresponding to the wet film size using a pre-constructed dry film conversion formula.

[0096] Considering that the battery electrode sheets need to be dried in an oven after coating, the wet film will shrink due to the evaporation of moisture / solvent, and the final size of the dried film will affect the battery performance. Therefore, it is necessary to call a pre-constructed dry film conversion formula to convert the wet film size obtained in step S301 into the corresponding theoretical dry film size. Specifically, this dry film conversion formula is pre-calibrated based on key factors such as slurry composition (e.g., solid content, binder ratio) and drying process parameters (e.g., temperature, wind speed), which can accurately reflect the shrinkage law from wet film to dry film and ensure that the converted dry film size is close to the actual drying effect. For example, the dry film conversion formula can be: ;in, Dry film size; This refers to the wet film size; This is the proportionality coefficient; This is the compensation coefficient.

[0097] Step S303: Calculate the size error value corresponding to the film width data based on the dry film size and wet film size, and use the size error value to determine the weight matrix corresponding to the first objective function.

[0098] Based on the theoretical dry film size obtained in step S302 and the actual wet film size obtained in step S301, the size error value between the two is calculated. This error value essentially reflects the degree of deviation between the wet film and the target dry film size after drying and shrinkage. Subsequently, using this size error value as the core basis, the weight matrix corresponding to the first objective function is determined: the larger the error value, the higher the weight of the corresponding wet film size adjustment, thereby ensuring that the objective function can preferentially focus on the dimensions with larger deviations, improving the pertinence and effectiveness of control.

[0099] Step S304: Determine the first objective function based on the wet film size, weight matrix, and adjustment parameters corresponding to the mold head moving unit.

[0100] Based on the actual wet film size obtained in step S301, the weight matrix determined in step S303, and the core adjustment parameters of the die head moving unit (such as the die head lip displacement increment and adjustment step size), a first objective function is constructed. The core function of this objective function is to establish a quantitative mapping relationship between "wet film size - adjustment parameters - size error". Its design goal is to minimize the deviation between the final dry film size and the preset target dry film size by optimizing the adjustment parameters, thus providing mathematical model support for finding the optimal adjustment scheme in the future.

[0101] Step S305: Obtain the die head distance adjustment value corresponding to the die head moving unit when the output of the first objective function reaches its minimum value, and determine the first constraint condition of the die head moving unit using the adjustment range and adjustment rate corresponding to the die head distance adjustment value; wherein, the die head distance adjustment value is used to adjust the distance between the lip of the coating die head and the substrate of the battery electrode in the die head moving unit.

[0102] Solve the first objective function constructed in step S304 to find the die head distance adjustment value that minimizes the function output value (i.e., minimizes the dimensional deviation). This adjustment value is used to precisely control the distance between the coating die head lip and the battery electrode substrate in the die head moving unit. This distance is the core variable affecting the wet film size (the smaller the distance, the thicker the wet film and the film width may increase slightly; conversely, the larger the distance, the thinner the wet film and the film width may decrease slightly).

[0103] To avoid excessive die head adjustment or too fast adjustment rate leading to decreased coating stability (such as slurry splashing or substrate damage), it is necessary to combine the equipment hardware performance (such as the maximum travel of the die head) and coating process requirements to determine the reasonable adjustment range and maximum adjustment rate of the die head distance adjustment value, and set the first constraint condition accordingly.

[0104] Step S306: Determine the first feedback control parameters corresponding to the mold head moving unit through the first constraint conditions.

[0105] The optimal die head distance adjustment value obtained in step S305 is substituted into the first constraint condition for verification and correction to ensure that the adjustment value is within a safe and stable constraint range. Finally, based on the constraint-verified adjustment value, the first feedback control parameter corresponding to the die head moving unit is determined. This parameter is a specific control command that can be directly issued to the die head moving actuator, which can accurately compensate for film width deviations caused by factors such as substrate tension fluctuations and slurry viscosity changes, ensuring the film width accuracy of the first coating surface.

[0106] Specifically, Model Predictive Control (MPC) can be used in determining the first feedback control parameter. MPC control first constructs the first objective function; optionally, step S304, which determines the first objective function based on the wet film size, weight matrix, and adjustment parameters corresponding to the mold head moving unit, is as follows: Figure 4 As shown, it includes:

[0107] Step S401: Determine the target film width value corresponding to the wet film size, and determine the adjustment increment corresponding to the adjustment parameters of the die head moving unit.

[0108] First, based on the overall design specifications of the battery electrode and the performance requirements of the first coating surface, the target film width value corresponding to the current wet film size is determined. This target value is the core benchmark for subsequent measurement of membrane width deviation and optimization of adjustment parameters. It must be consistent with the total target membrane width value determined in step S101 above to ensure the continuity of control logic. At the same time, the adjustment increment corresponding to the adjustment parameters of the die head moving unit is determined, that is, the minimum change in the die head adjustment action (such as a small increment in the displacement of the die head lip). The setting of this increment must take into account both adjustment accuracy and equipment response speed, avoiding excessive increment that leads to membrane width fluctuation, or excessive increment that affects adjustment efficiency.

[0109] Step S402: Determine the error weight matrix corresponding to the size error value and the first increment weight matrix corresponding to the adjustment increment based on the weight matrix.

[0110] Based on the weight matrix obtained in step S303 above, perform dimensional splitting to determine the error weight matrix corresponding to each size error value. The first incremental weight matrix corresponding to the adjustment increment Among them, the error weight matrix This is used to quantify the importance of dimensional errors in different dimensions (such as deviations at the left and right edges of the membrane width, and overall membrane width deviation). Dimensions with greater deviation impact are assigned higher weights to ensure that the objective function prioritizes optimizing key deviations; the first incremental weight matrix. This is used to constrain the magnitude of the adjustment increment, avoid over-adjustment which could lead to instability in the coating process, and balance the relationship between "deviation correction effect" and "adjustment stability".

[0111] Step S403: Determine the prediction time domain and control time domain corresponding to the mold head moving unit based on the adjustment parameters.

[0112] Based on the response characteristics of the adjustment parameters of the mold head moving unit (such as the delay time of the adjustment action and the time to reach a steady state), determine the appropriate prediction time domain. and control time domain Prediction in the time domain This refers to the time range within which the objective function predicts future membrane width trends. It must cover the complete response period after the adjustment parameters take effect, ensuring accurate prediction of the long-term impact of the adjustment on membrane width; control time domain. This refers to the actual time range in which the adjustment parameters are applied, which must match the predicted time domain to ensure that the adjustment action can correct the predicted membrane width deviation in a timely manner and avoid control lag or over-intervention caused by time domain mismatch.

[0113] Step S404: By wet film size Target membrane width value Adjusting the increment Error weight matrix First Incremental Weight Matrix Prediction time domain and control time domain Determine the first objective function .

[0114] Integrating the key parameters obtained from the above steps, we finally construct the first objective function: based on the wet film size. Deviation from target membrane width value As the core optimization direction, it incorporates incremental adjustments. The impact of quantification adjustment actions is assessed through the error weight matrix. Prioritize optimization of key deviations, using the first incremental weight matrix. Constrain the adjustment amplitude, while predicting the time domain. and control time domain Limit the optimization range of the function.

[0115] In real-world scenarios, the first objective function The core function of this objective function is to establish a quantitative mapping relationship between "membrane width deviation - adjustment parameters - adjustment effect," providing accurate mathematical model support for subsequent solutions to the optimal adjustment scheme. Specifically, the first objective function consists of a weighted function of dimensional error and adjustment increment, while simultaneously limiting the adjustment range and rate of the die head distance adjustment value. Each time MPC control is executed, the die head distance adjustment value is updated to minimize the objective function, forming a rolling optimization.

[0116] Optionally, the first constraint condition of the die head moving unit can be determined using the adjustment range and adjustment rate corresponding to the die head distance adjustment value, such as... Figure 5 As shown, it includes:

[0117] Step S501: Determine the adjustment range corresponding to the mold head distance adjustment value using the threshold value of the adjacent step size difference corresponding to the adjustment increment.

[0118] First, the reasonable adjustment range of the die head distance adjustment value is determined based on the "adjacent step length difference threshold" corresponding to the adjustment increment of the die head movement unit. The adjacent step length difference threshold is a key parameter preset based on the stability requirements of the coating process, used to limit the step length fluctuation of two consecutive die head adjustment actions. If the difference between adjacent adjustment step lengths exceeds this threshold, it can easily lead to abrupt changes in wet film thickness / width, affecting coating uniformity. Defining the adjustment range through this threshold essentially sets "upper and lower limits" for the die head distance adjustment value, ensuring the smoothness of the adjustment action and avoiding coating defects caused by over-adjustment or abrupt adjustments.

[0119] Step S502: Determine the adjustment rate corresponding to the mold head distance adjustment value based on the single-step adjustment rate limit value corresponding to the adjustment increment.

[0120] Based on the single-step adjustment rate limit value corresponding to the adjustment increment, the adjustment rate corresponding to the die head distance adjustment value is determined. The setting of the single-step adjustment rate limit value needs to consider the hardware performance of the die head moving unit (such as the maximum response speed of the drive motor and the load-bearing capacity of the transmission mechanism) and the slurry coating characteristics (such as high-viscosity slurries requiring slow adjustment to avoid splashing), to limit the maximum moving distance of the die head per unit time. The core purpose of defining the adjustment rate is to control the rhythm of die head adjustment, preventing excessively fast adjustment rates from causing collisions between the substrate and the die head lip, resulting in uneven slurry coating, or excessively slow rates from failing to compensate for film width deviations in a timely manner.

[0121] Step S503: Determine the first constraint condition of the mold head moving unit by adjusting the range and adjustment rate.

[0122] The adjustment range determined in step S501 is integrated with the adjustment rate specified in step S502 to ultimately form the first constraint condition for the mold head moving unit. For example, the first constraint condition is: ;in, and To adjust the minimum and maximum values ​​of the range; This is the single-step adjustment rate limit value; .

[0123] This constraint is the safety and stability boundary of the die head adjustment action. It not only limits the fluctuation range of the die head distance adjustment value, but also regulates the execution rate of the adjustment action. It provides a basis for verification and correction of the optimal die head distance adjustment value obtained from the first objective function, ensuring that the final output adjustment command is within the range of equipment load capacity and process safety requirements.

[0124] Optionally, step S103 involves acquiring the dry film corresponding to the first coating surface and the wet film corresponding to the second coating surface, controlling the vision measurement unit to calculate the misalignment data between the wet and dry films in real time, and using the misalignment data to determine the second feedback control parameters corresponding to the die head movement unit and the deviation correction unit. Figure 6 As shown, it includes:

[0125] Step S601: When it is detected that the second coating surface of the battery electrode has completed wet film coating and the first coating surface has completed dry film drying, the vision measurement unit is controlled to acquire the first sampling data of the first coating surface and the second sampling data of the second coating surface in real time according to the preset sampling time.

[0126] First, the key sampling points are clearly defined: when both core coating stages are detected as complete (i.e., the second coating surface of the battery electrode has completed wet film coating, and the first coating surface has been dried to form a dry film), the data acquisition process is immediately initiated. Following the preset sampling duration, the vision measurement unit synchronously and in real-time acquires two types of core sampling data: the first sampling data corresponding to the dry film on the first coating surface (reflecting the final film position reference on the front side) and the second sampling data corresponding to the wet film on the second coating surface (reflecting the current undried and still adjustable film position state on the back side). This sampling timing is chosen because the dry film morphology is stable and can serve as an alignment reference, while the undried wet film allows for adjustment, ensuring the reference value of misalignment data and the effectiveness of subsequent adjustments. The preset sampling duration ensures data continuity and avoids accidental errors from single sampling.

[0127] Step S602: Control the vision measurement unit to calculate the misalignment data between the wet film and the dry film using the first sampling data and the second sampling data, and obtain the position data of the misalignment data in the battery electrode.

[0128] The control vision measurement unit performs precise comparison and analysis of the first and second sampled data. The core function is to calculate the misalignment data between the wet film on the second coating surface and the dry film on the first coating surface (including key information such as misalignment direction and distance, directly reflecting the edge alignment deviation of the double-sided coating). Simultaneously, it acquires the specific location data of this misalignment data on the battery electrode. Since misalignment at different locations has different impacts on battery performance (e.g., misalignment at the electrode edge may lead to increased subsequent cutting losses, while misalignment in the middle region may affect the uniformity of the electrode reaction), the location data is a crucial basis for subsequent differentiated control.

[0129] In the specific implementation process, a method based on the statistical process control (SPC) principle can be used to identify and eliminate transient abnormal values ​​in the visual measurement unit to prevent them from triggering erroneous adjustments; a moving average filter can also be used to smooth the signal and suppress noise. The specific processing process is the same as the process of obtaining the film width data of the first coating surface, and will not be described in detail here.

[0130] Step S603: Use the location data to determine the weight values ​​corresponding to the misaligned data, and use the weight values ​​to determine the corresponding misaligned weight matrix and the location data to construct the second objective function.

[0131] Based on the location data obtained in step S602, differentiated weight values ​​are assigned to the corresponding misalignment data: generally, higher weights are assigned to locations with a greater impact on battery performance (such as the edge of the effective electrode area and the area covered by the electrode active material), while lower weights are assigned to locations with a smaller impact (such as the transition area at the edge of the electrode), thereby highlighting the priority of misalignment correction in the core area. Based on the set weight values, a misalignment weight matrix (quantifying the correction priority of misalignment at different locations) is further constructed, and a second objective function is constructed together with the location data. The core optimization direction of this objective function is to minimize the misalignment deviation of high-priority locations, while establishing a quantitative mapping relationship between misalignment data and adjustment parameters, providing mathematical model support for subsequent solutions to the optimal adjustment scheme.

[0132] The second objective function can be obtained based on the current misalignment values ​​and weights through MPC optimization and weighted calculation. Specifically, the second objective function... ; These are the misalignment data corresponding to adjacent battery electrodes; These are the misalignment weight matrices corresponding to adjacent battery electrodes.

[0133] Step S604: Obtain the mold head lateral movement adjustment value corresponding to the mold head moving unit when the output of the second objective function reaches its minimum value, and use the mold head lateral movement adjustment value to determine the second constraint condition of the mold head moving unit.

[0134] Solve the second objective function constructed in step S603 to obtain the lateral movement adjustment value of the die head moving unit when the output value of the objective function is minimized (i.e. the misalignment deviation of the core area is minimized). This adjustment value is used to control the coating die head to move laterally along the substrate, directly correcting the position of the wet film on the second coating surface, so as to reduce the misalignment deviation with the dry film on the first coating surface.

[0135] To avoid problems caused by excessive or rapid adjustment of the die head lateral movement (such as die head collision, wet film scratches, and slurry flow), it is necessary to set a second constraint condition for the die head movement unit based on the hardware performance of the equipment (such as the maximum lateral movement stroke of the die head) and the coating process requirements, combined with the characteristics of the die head lateral movement adjustment value. This will clarify the reasonable range and maximum adjustment rate of the die head lateral movement adjustment value, providing a boundary basis for the feasibility verification of subsequent adjustment schemes.

[0136] Step S605: Determine the intervention strategy of the mold head moving unit and the deviation correction unit through the second constraint condition, and determine the second feedback control parameters corresponding to the mold head moving unit and the deviation correction unit according to the intervention strategy.

[0137] The optimal die head lateral movement adjustment value obtained in step S604 is substituted into the second constraint condition for verification. Based on the verification results, the collaborative intervention strategy of the die head moving unit and the deviation correction unit is determined. For example, when the misalignment deviation is small, it can be corrected simply by adjusting the die head lateral movement; when the misalignment deviation is large or accompanied by overall substrate deviation, the die head lateral movement adjustment and the substrate deviation correction of the deviation correction unit need to work together. According to the determined intervention strategy, the second feedback control parameters corresponding to the die head moving unit and the deviation correction unit are finally derived and determined. These two types of parameters form a collaborative control command, which can accurately compensate for the misalignment of the double-sided coating edge caused by factors such as substrate misalignment and tension fluctuations, ensuring the positional consistency of the coating on both sides of the electrode.

[0138] Optionally, the second constraint condition of the die head moving unit can be determined using the die head lateral movement adjustment value, such as... Figure 7 As shown, it includes:

[0139] Step S701: Obtain the misalignment threshold corresponding to the mold head moving unit. .

[0140] First, obtain the misalignment threshold preset for the mold head moving unit. This threshold is based on the process quality requirements of battery electrode coating (such as the alignment accuracy standard of double-sided coating edges), the core performance indicators of the battery (such as avoiding uneven current distribution and energy density reduction caused by misalignment), and key parameters pre-calibrated by the equipment's adjustment capabilities. Essentially, it is a critical benchmark for determining whether misalignment can be effectively corrected by adjusting the lateral movement of the die head alone. For example, when the misalignment deviation does not exceed this threshold, the lateral movement adjustment of the die head can complete the correction independently; if it exceeds the threshold, it needs to be coordinated and controlled in conjunction with other units.

[0141] Step S702: Adjust the value by moving the die head laterally With misalignment threshold The comparison relationship determines the second constraint condition of the mold head moving unit.

[0142] The optimal die head lateral movement adjustment value obtained in step S604 (used to correct the misalignment between the wet film on the second coating surface and the dry film on the first coating surface) is compared and analyzed with the misalignment threshold obtained in step S701. Combined with the hardware performance limits of the die head moving unit (such as maximum lateral movement stroke and lateral movement mechanism load-bearing capacity), the second constraint condition of the die head moving unit is finally determined, which can be as follows: .

[0143] The core of this constraint is to define the effective and safe range of the die head lateral movement adjustment: on the one hand, it limits the maximum allowable range of the die head lateral movement adjustment value (it needs to match the misalignment threshold to avoid under-adjustment or over-adjustment); on the other hand, it implicitly limits the adjustment rate (to prevent the lateral movement from being too fast, which could cause scratches on the wet film and slurry flow), ensuring that the die head lateral movement adjustment is carried out within the boundaries of process feasibility and equipment safety.

[0144] Optionally, the real-time control parameters corresponding to the battery electrode production coating control equipment are obtained by updating the initial control parameters based on the first and second feedback control parameters, such as... Figure 8 As shown, it includes:

[0145] Step S801: Determine the measured value of the wet film width using the first feedback control parameter. Target membrane width value Error weight matrix First Incremental Weight Matrix And the die head distance adjustment value corresponding to the die head moving unit .

[0146] First, from the previously determined first feedback control parameters, the system extracts all the core information of the film width control dimension, specifically including: the film width measurement value of the wet film on the first coating surface. (The accurate actual data after filtering and anomaly correction is the direct basis for judging membrane width deviation), preset target membrane width value (The core benchmark for membrane width control is consistent with the initially set total target membrane width), error weight matrix (Quantify the optimization priority of different membrane width deviation dimensions to ensure that core deviations are corrected first), First incremental weight matrix (The range of the die head distance adjustment is constrained to avoid excessive adjustment that could cause film width fluctuations), and the die head distance adjustment value corresponding to the die head moving unit. (The core action parameter for adjusting the distance between the die lip and the substrate directly affects the film width deviation compensation.)

[0147] This information collectively forms the basic data support for membrane width control, providing accurate input for subsequent comprehensive optimization.

[0148] Step S802: Determine the misalignment data between the wet film and the dry film using the second feedback control parameter. Misaligned weight matrix Second incremental weight matrix And the corresponding die head lateral movement adjustment value of the die head moving unit .

[0149] Next, from the determined second feedback control parameters, the full core information of the two-sided alignment control dimension is extracted, specifically including: the misalignment data between the wet film on the second coating surface and the dry film on the first coating surface. (Including misalignment direction and distance, which are the core characteristics of two-sided alignment deviation), misalignment weight matrix (Based on the misalignment setting, highlighting the priority of misalignment correction in key areas of the electrode), Second Incremental Weight Matrix (The range of the lateral movement adjustment of the die head is constrained to ensure smooth adjustment), and the lateral movement adjustment value of the die head corresponding to the die head moving unit. (The core action parameters for adjusting the lateral position of the mold head directly affect the misalignment compensation.)

[0150] Step S803: Utilize the measured width of the wet film. Target membrane width value Error weight matrix First Incremental Weight Matrix The die head distance adjustment value corresponding to the die head moving unit Misalignment data between wet and dry films Misaligned weight matrix Second incremental weight matrix And the corresponding die head lateral movement adjustment value of the die head moving unit Construct a third objective function.

[0151] The membrane width control information extracted in step S801 and the misalignment control information extracted in step S802 are fully integrated to construct a third objective function. The core value of this objective function lies in solving the strong coupling problem between membrane width control and misalignment control: by integrating the error weight matrix and the misalignment weight matrix, the optimization priorities of the two control dimensions are balanced; with the help of the first and second incremental weight matrices, the mutual interference between the head distance adjustment and the lateral movement adjustment is constrained; finally, a comprehensive quantitative mapping relationship of "membrane width deviation - misalignment deviation - dual adjustment parameters" is established. Its core objective is to output a comprehensive optimization scheme that simultaneously optimizes membrane width accuracy and double-sided alignment accuracy, providing core mathematical model support for subsequent solutions to the optimal adjustment parameters.

[0152] Step S804: Obtain the mold head distance adjustment value and mold head lateral movement adjustment value corresponding to the mold head moving unit when the output of the third objective function reaches its minimum value.

[0153] Solve the third objective function constructed in step S803 to find the optimal solution that minimizes the function output value, which corresponds to the two sets of core adjustment values ​​for the mold head moving unit. The corresponding c This is the optimal solution for the third objective function, which is the result after comprehensively balancing the film width deviation and misalignment deviation. It ensures that the film width meets the target requirements and that the double-sided coating edges are aligned, avoiding the problem of increased deviation in another dimension that may be caused by optimizing a single control dimension. This achieves the synergistic optimization of the two control objectives.

[0154] Step S805: After updating the initial control parameters using the die head distance adjustment value and the die head lateral movement adjustment value, the real-time control parameters corresponding to the battery electrode production coating control equipment are obtained.

[0155] The optimal die head distance adjustment value and optimal die head lateral movement adjustment value obtained in step S804 are substituted into the initial control parameters determined in step S101 for feedback iterative updates. The update process requires combining the collaborative operation logic of each unit of the equipment to convert the optimal adjustment value into control commands that can be directly recognized by each execution unit (die head movement unit, deviation correction unit, etc.), ultimately generating real-time control parameters adapted to the current coating conditions. These real-time control parameters can dynamically respond to dynamic disturbances such as substrate tension fluctuations, slurry viscosity changes, and substrate misalignment, precisely regulating the equipment's operating status, fundamentally improving the coating consistency of battery electrodes, and ensuring battery energy density and safety.

[0156] like Figure 9 The flowchart shown is another coating control method for battery electrode production. The adjustment of the die head distance value will affect the alignment of the front and back faces of the battery electrode (for ease of description). Figure 9 (Since surface A and surface B correspond to the front and back sides respectively, when issuing the control command corresponding to the die head distance adjustment value, the control command for the die head lateral movement adjustment value can be corrected compensatorily. Specifically, the influence of coupling can be predicted to control the dimensional closed loop (corresponding to the die head distance adjustment value) and the alignment closed loop (corresponding to the die head lateral movement adjustment value). The dimensional measurement value fed back by the dimensional closed loop and the misalignment position fed back by the alignment closed loop are filtered with the dry film measurement results and the wet film measurement results after feedback, and then used in the calculation process of predicting coupling, thereby achieving global decoupling of the control loop and suppressing mutual interference between control loops.

[0157] As can be seen from the battery electrode production coating control method mentioned in the above embodiments, this method accurately obtains the first feedback control parameter through the first objective function, and uses the first feedback control parameter to compensate for the coating width deviation caused by factors such as substrate tension fluctuation, slurry viscosity change, and substrate lateral deviation; in addition, this method makes full use of the misalignment data between the front and back sides of the battery electrode substrate to accurately obtain the second feedback control parameter, and uses the second feedback control parameter to compensate for the edge misalignment of the double-sided coating caused by factors such as substrate misalignment and tension fluctuation; the above two feedback control parameters can be decoupled through model predictive control, thereby suppressing the mutual interference caused between control loops, improving the coating consistency of the battery electrode, and improving the battery energy density and safety.

[0158] Corresponding to the battery electrode production coating control method provided in the foregoing embodiments, this invention provides a battery electrode production coating control system, which is applied to battery electrode production coating control equipment; such as Figure 10 As shown, the system includes:

[0159] Initialization unit 1010 is used to determine the initial control parameters corresponding to the vision measurement unit, die head movement unit and deviation correction unit deployed in the battery electrode production coating control equipment, and to determine the target film width value corresponding to the battery electrode.

[0160] The first feedback control parameter determination unit 1020 is used to control the vision measurement unit to acquire the film width data of the first coating surface of the battery electrode in real time, and to determine the first feedback control parameter corresponding to the mold head moving unit under the film width data using a first objective function; wherein, the first objective function is determined by the target film width value and the adjustment value corresponding to the mold head moving unit;

[0161] The second feedback control parameter determination unit 1030 is used to obtain the dry film corresponding to the first coating surface and the wet film corresponding to the second coating surface, control the vision measurement unit to calculate the misalignment data between the wet film and the dry film in real time, and use the misalignment data to determine the second feedback control parameters corresponding to the die head movement unit and the deviation correction unit.

[0162] The coating control execution unit 1040 is used to update the initial control parameters based on the first feedback control parameters and the second feedback control parameters to obtain the real-time control parameters corresponding to the battery electrode production coating control equipment, and to use the real-time control parameters to control the coating of the battery electrode by the battery electrode production coating control equipment.

[0163] As can be seen from the battery electrode production coating control system mentioned in the above embodiments, the system accurately obtains the first feedback control parameter through the first objective function, and uses the first feedback control parameter to compensate for the coating width deviation caused by factors such as substrate tension fluctuation, slurry viscosity change, and substrate lateral deviation. In addition, the system can make full use of the misalignment data between the front and back sides of the battery electrode substrate to accurately obtain the second feedback control parameter, and use the second feedback control parameter to compensate for the edge misalignment of the double-sided coating caused by factors such as substrate misalignment and tension fluctuation. The above two feedback control parameters can be decoupled through model predictive control, thereby suppressing the mutual interference caused between control loops, improving the coating consistency of the battery electrode, and improving the battery energy density and safety.

[0164] The battery electrode production coating control system provided in this embodiment of the invention has the same implementation principle and technical effect as the aforementioned battery electrode production coating control method embodiment. For the sake of brevity, any parts not mentioned in the device embodiment can be referred to the corresponding content in the aforementioned battery electrode production coating control method embodiment.

[0165] This embodiment also provides a coating control device for battery electrode production, such as... Figure 11 As shown, the device includes a vision measurement unit 1110, a mold head movement unit 1120, a deviation correction unit 1130, and a control unit 1140; wherein the control unit 1140 is connected to the vision measurement unit 1110, the mold head movement unit 1120, and the deviation correction unit 1130 respectively.

[0166] Specifically, the vision measurement unit 1110 measures the dry film corresponding to the first coating surface of the battery electrode and the wet film corresponding to the second coating surface, and transmits the measurement data to the control unit 1140; the wet film data of the first coating surface collected by the die head moving unit 1120 obtains the first feedback control parameter through the control unit 1140, and updates the die head distance adjustment value corresponding to the die head moving unit 1120 through the control unit 1140; the misalignment data between the wet film and the dry film collected by the deviation correction unit 1130 obtains the second feedback control parameter through the control unit 1140, and updates the die head lateral movement adjustment value corresponding to the deviation correction unit 1130 through the control unit 1140, forming a closed-loop control.

[0167] The structural diagram of control unit 1140 is as follows: Figure 12 As shown, it includes a processor 101 and a memory 102; wherein, the memory 102 is used to store one or more computer instructions, which are executed by the processor to implement the steps of the above-described battery electrode production coating control method.

[0168] Figure 12The control unit shown also includes a bus 103 and a communication interface 104. The processor 101, the communication interface 104 and the memory 102 are connected via the bus 103.

[0169] The memory 102 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device. The bus 103 may be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 12 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0170] The communication interface 104 is used to connect to at least one user terminal and other network units through a network interface, and to send encapsulated IPv4 packets or IPv4 packets to the user terminal through the network interface.

[0171] Processor 101 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 101 or by instructions in software form. The processor 101 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this disclosure. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this disclosure can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 102, and processor 101 reads the information in memory 102 and, in conjunction with its hardware, completes the steps of the method described in the foregoing embodiments.

[0172] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, devices, and methods can be implemented in other ways. The system embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0173] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0174] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0175] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0176] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for controlling the coating process in battery electrode production, characterized in that, The method is applied to a coating control equipment for battery electrode production; the method includes: Determine the initial control parameters corresponding to the vision measurement unit, die head movement unit, and deviation correction unit deployed in the battery electrode production coating control equipment, and determine the target film width value corresponding to the battery electrode. The vision measurement unit is controlled to acquire the film width data of the first coating surface of the battery electrode in real time, and the first feedback control parameter corresponding to the mold head moving unit under the film width data is determined by the first objective function; wherein, the first objective function is determined by the target film width value and the adjustment value corresponding to the mold head moving unit; The dry film corresponding to the first coating surface and the wet film corresponding to the second coating surface are obtained. The vision measurement unit is controlled to calculate the misalignment data between the wet film and the dry film in real time. The misalignment data is used to determine the second feedback control parameters corresponding to the die head moving unit and the deviation correction unit. After updating the initial control parameters based on the first and second feedback control parameters, the real-time control parameters corresponding to the battery electrode production coating control equipment are obtained. The real-time control parameters are then used to control the coating of the battery electrode by the battery electrode production coating control equipment.

2. The battery electrode production coating control method according to claim 1, characterized in that, Controlling the vision measurement unit to acquire the film width data of the first coated surface of the battery electrode in real time includes: Once the wet film coating of the first coating surface of the battery electrode is detected to be completed, the vision measurement unit is controlled to acquire continuous sampling data of the first coating surface of the battery electrode in real time according to the preset sampling duration. Calculate and obtain the moving range and average value of the continuous sampling data, and use the moving range and average value to determine the outlier judgment interval corresponding to the continuous sampling data; The outlier values ​​contained in the continuous sampled data are determined by the outlier determination interval, and the continuous sampled data are updated by the moving average value between adjacent sampled data corresponding to the outlier values. Using the moving average filtering result corresponding to the continuously sampled data updated under a preset size window, the film width data of the first coating surface of the battery electrode is calculated and obtained.

3. The coating control method for battery electrode production according to claim 1, characterized in that, Determining the first feedback control parameters corresponding to the die head moving unit under the membrane width data using the first objective function includes: The wet film size in the first coated surface is obtained using the film width data; The dry film size corresponding to the wet film size is determined by a pre-constructed dry film conversion formula; wherein, the dry film conversion formula is: ; The dry film size; The wet film size; This is the proportionality coefficient; This is the compensation coefficient; Calculate the size error value corresponding to the film width data based on the dry film size and the wet film size, and use the size error value to determine the weight matrix corresponding to the first objective function; The first objective function is determined based on the wet film size, the weight matrix, and the adjustment parameters corresponding to the mold head moving unit. Obtain the die head distance adjustment value corresponding to the die head moving unit when the output of the first objective function is minimized, and determine the first constraint condition of the die head moving unit using the adjustment range and adjustment rate corresponding to the die head distance adjustment value; wherein, the die head distance adjustment value is used to adjust the distance between the lip of the coating die head in the die head moving unit and the substrate of the battery electrode sheet; The first feedback control parameters corresponding to the mold head moving unit are determined by the first constraint condition.

4. The battery electrode production coating control method according to claim 3, characterized in that, The step of determining the first objective function based on the wet film size, the weight matrix, and the adjustment parameters corresponding to the die head moving unit includes: Determine the target film width value corresponding to the wet film size, and determine the adjustment increment corresponding to the adjustment parameter of the die head moving unit; Based on the weight matrix, determine the error weight matrix corresponding to the size error value and the first increment weight matrix corresponding to the adjustment increment; The prediction time domain and control time domain corresponding to the mold head moving unit are determined based on the adjustment parameters. By the wet film size The target membrane width value The adjustment increment The error weight matrix The first incremental weight matrix The prediction time domain and the control time domain Determine the first objective function ;in, .

5. The battery electrode coating control method according to claim 4, characterized in that, The first constraint condition for the die head moving unit is determined using the adjustment range and adjustment rate corresponding to the die head distance adjustment value, including: The adjustment range corresponding to the mold head distance adjustment value is determined by using the threshold value of the adjacent step size difference corresponding to the adjustment increment; The adjustment rate corresponding to the mold head distance adjustment value is determined based on the single-step adjustment rate limit value corresponding to the adjustment increment. The first constraint condition of the mold head moving unit is determined by the adjustment range and the adjustment rate; wherein, the first constraint condition is: ;in, and These are the minimum and maximum values ​​of the adjustment range; This refers to the single-step adjustment rate limit value; .

6. The coating control method for battery electrode production according to claim 1, characterized in that, The steps of acquiring the dry film corresponding to the first coating surface and the wet film corresponding to the second coating surface, controlling the vision measurement unit to calculate the misalignment data between the wet film and the dry film in real time, and using the misalignment data to determine the second feedback control parameters corresponding to the die head movement unit and the deviation correction unit include: When it is detected that the second coating surface of the battery electrode has completed wet film coating and the first coating surface has completed dry film drying, the vision measurement unit is controlled to acquire the first sampling data of the first coating surface and the second sampling data of the second coating surface in real time according to the preset sampling time. The vision measurement unit is controlled to calculate the misalignment data between the wet film and the dry film using the first sampling data and the second sampling data, and to obtain the position data corresponding to the misalignment data in the battery electrode. Using the location data, the weight values ​​corresponding to the misaligned data are determined. Then, the corresponding misaligned weight matrix is ​​determined using these weight values, and a second objective function is constructed using the location data. The second objective function... ; These are the misalignment data corresponding to adjacent battery electrodes; These are the misalignment weight matrices corresponding to adjacent battery electrodes; Obtain the mold head lateral movement adjustment value corresponding to the mold head moving unit when the output of the second objective function reaches its minimum value, and use the mold head lateral movement adjustment value to determine the second constraint condition of the mold head moving unit; The intervention strategies of the mold head moving unit and the deviation correction unit are determined by the second constraint conditions, and the second feedback control parameters corresponding to the mold head moving unit and the deviation correction unit are determined according to the intervention strategies.

7. The coating control method for battery electrode production according to claim 6, characterized in that, The second constraint condition for the die head moving unit is determined using the die head lateral movement adjustment value, including: Obtain the misalignment threshold corresponding to the mold head moving unit. ; The value is adjusted by the transverse movement of the die head. With the misalignment threshold The comparison relationship determines the second constraint condition of the mold head moving unit; wherein, the second constraint condition is: .

8. The coating control method for battery electrode production according to claim 1, characterized in that, The real-time control parameters corresponding to the battery electrode production coating control equipment are obtained by updating the initial control parameters based on the first and second feedback control parameters, including: The film width measurement value of the wet film is determined by the first feedback control parameter. The target membrane width value Error weight matrix First Incremental Weight Matrix and the mold head distance adjustment value corresponding to the mold head moving unit. ; The misalignment data between the wet film and the dry film is determined using the second feedback control parameter. Misaligned weight matrix Second incremental weight matrix and the corresponding die head lateral movement adjustment value of the die head moving unit. ; Utilizing the film width measurement value of the wet film The target membrane width value Error weight matrix First Incremental Weight Matrix The die head distance adjustment value corresponding to the die head moving unit The misalignment data between the wet film and the dry film Misaligned weight matrix Second incremental weight matrix and the corresponding die head lateral movement adjustment value of the die head moving unit. Construct a third objective function; wherein, the third objective function ; When the minimum value of the third objective function output is obtained, the mold head moving unit corresponds to the mold head distance adjustment value and the mold head lateral movement adjustment value. After updating the initial control parameters using the die head distance adjustment value and the die head lateral movement adjustment value, the real-time control parameters corresponding to the battery electrode production coating control equipment are obtained.

9. A coating control system for battery electrode production, characterized in that, The system is applied to coating control equipment for battery electrode production; the system includes: An initialization unit is used to determine the initial control parameters corresponding to the vision measurement unit, the die head movement unit, and the deviation correction unit deployed in the battery electrode production coating control equipment, and to determine the target film width value corresponding to the battery electrode. The first feedback control parameter determination unit is used to control the vision measurement unit to acquire the film width data of the first coating surface of the battery electrode in real time, and to determine the first feedback control parameter corresponding to the mold head moving unit under the film width data using a first objective function; wherein, the first objective function is determined by the target film width value and the adjustment value corresponding to the mold head moving unit; The second feedback control parameter determination unit is used to acquire the dry film corresponding to the first coating surface and the wet film corresponding to the second coating surface, control the vision measurement unit to calculate the misalignment data between the wet film and the dry film in real time, and use the misalignment data to determine the second feedback control parameters corresponding to the die head movement unit and the deviation correction unit. The coating control execution unit is used to update the initial control parameters based on the first feedback control parameters and the second feedback control parameters to obtain the real-time control parameters corresponding to the battery electrode production coating control equipment, and to use the real-time control parameters to control the battery electrode production coating control equipment to perform coating control on the battery electrode.

10. A coating control device for battery electrode production, characterized in that, The battery electrode production coating control equipment includes a vision measurement unit, a die head movement unit, a deviation correction unit, and a control unit; wherein the control unit is connected to the vision measurement unit, the die head movement unit, and the deviation correction unit respectively. The control unit includes a processor and a memory, the memory storing computer-executable instructions that can be executed by the processor, the processor executing the computer-executable instructions to implement the battery electrode production coating control method mentioned in any one of claims 1 to 8.

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