Efficient control method and system for composite rubberizing

Abstract

The invention provides an efficient control method and system for composite rubberizing, and relates to the technical field of battery production and manufacturing, and the method comprises the following steps: determining a composite rubberizing process of battery cell rubberizing, and determining the process quantity according to a lamination fastening demand. By determining coupling control logic of a composite rubberizing process, configuring main and auxiliary control lines and regulating and controlling a coupling relationship, and setting a parallel regulating and controlling block and a coupling upper device, a regulating and controlling decision module is trained. And after the PLC control is initialized, the monitoring equipment group is used for carrying out rubberizing monitoring and data analysis. And in combination with a regulation and control decision module, parallel regulation and control decision is carried out on the different deposit points, a pre-regulation and control strategy is determined, and finally feedback regulation and control are carried out through a PLC. The technical problems of low rubberizing efficiency and unstable rubberizing quality in the prior art can be solved, quick response and execution of the regulation and control instruction are realized, dynamic adjustment is performed according to real-time monitoring data, and the accuracy and efficiency of the rubberizing process are ensured.

Description

Technical Field

[0001] This application relates to the field of battery manufacturing technology, and in particular to a highly efficient control method and system for composite adhesive bonding. Background Technology

[0002] In many fields, such as battery technology and electronics manufacturing, adhesive application is a critical production step. It is essential for ensuring product quality and performance. Traditional adhesive application methods, such as using cylinders to directly push adhesive tape, are prone to wrinkling. To avoid wrinkling, the production process often needs to be slowed down, thus reducing application efficiency. As the level of automation in manufacturing continues to increase, the demand for automation in the adhesive application process is also growing. Automation technology can significantly improve production efficiency, reduce human error, and lower costs.

[0003] Currently, most adhesive application processes employ traditional mechanized or semi-automated methods. While these methods can meet basic adhesive application needs, they often fall short when faced with high-precision and high-efficiency production requirements. Specifically, existing technologies often rely on the skills and experience of operators, which can easily lead to problems such as uneven adhesive application and inaccurate positioning.

[0004] In summary, existing technologies suffer from low automation and insufficient precision control, resulting in low adhesive application efficiency and unstable adhesive quality, which further affects the overall product quality and production efficiency. Summary of the Invention

[0005] The purpose of this application is to provide an efficient control method and system for composite adhesive application, in order to solve the problems of low efficiency and unstable adhesive application quality caused by low automation and insufficient precision control in the existing technology, which further affect the overall quality of the product and production efficiency.

[0006] In view of the above problems, this application provides an efficient control method and system for composite adhesive application.

[0007] In a first aspect, this application provides an efficient control method for composite adhesive application, the method being implemented through an efficient control system for composite adhesive application, wherein the method includes: reading the lamination process to determine the composite adhesive application step for cell bonding, wherein the step quantity is determined based on the lamination fastening requirements; determining coupled control logic based on the composite adhesive application step, wherein it includes a main control line and an auxiliary control line with relative independence and coordination based on an automatic adhesive application machine, and a control coupling relationship based on the process node; configuring parallel control blocks based on the main control line and the auxiliary control line, and based on the control coupling relationship... Configure a coupled host computer to supervise the training and control decision-making module; perform PLC initialization control configuration for the composite adhesive application process, and respond to the automatic adhesive application machine to perform automated adhesive application control; based on the monitoring equipment group, perform adhesive application control monitoring and data feedback analysis to locate the abnormal control points and determine that the monitoring equipment group includes photoelectric sensors; combined with the control decision-making module, based on the abnormal control points, perform parallel control decision-making and fitness calibration to determine the pre-control strategy, wherein fitness is evaluated based on quality and efficiency; based on the pre-control strategy, respond to the PLC to perform adhesive application feedback control.

[0008] Secondly, this application also provides a high-efficiency control system for composite adhesive application, used to execute the high-efficiency control method for composite adhesive application as described in the first aspect, wherein the system includes: an adhesive application process determination unit, which is used to read the lamination process and determine the composite adhesive application process for cell bonding, wherein the process quantity is determined based on the lamination fastening requirements; a coupling control logic determination unit, which is used to determine the coupling control logic based on the composite adhesive application process, wherein it includes a main control line and an auxiliary control line with relative independence and coordination based on the automatic adhesive application machine, and a control coupling relationship based on the process node; and a block configuration unit, which is used to configure parallel control blocks based on the main control line and the auxiliary control line, and configure coupling blocks based on the control coupling relationship. The system includes: a positioner, a supervised training and control decision module; an adhesive application control unit, which performs PLC initialization control configuration for the composite adhesive application process and responds to the automatic adhesive application machine for automated adhesive application control; an anomaly control point location unit, which performs adhesive application control monitoring and data feedback analysis based on the monitoring equipment group to locate anomaly control points and determine that the monitoring equipment group includes photoelectric sensors; a control strategy acquisition unit, which, in conjunction with the control decision module, performs parallel control decision-making and fitness calibration based on the anomaly control points to determine a pre-control strategy, wherein fitness is evaluated based on quality and efficiency; and a feedback control unit, which performs adhesive application feedback control in response to the PLC based on the pre-control strategy.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages: By reading the lamination process, the composite adhesive application process for battery cells is determined, where the number of processes is determined based on the lamination fastening requirements. Based on this composite adhesive application process, a coupled control logic is determined, including a main control line and an auxiliary control line with relative independence and coordination based on the automatic adhesive application machine, and a control coupling relationship based on process nodes. Parallel control blocks are configured based on the main control line and the auxiliary control line, and a coupling host is configured based on the control coupling relationship to supervise and train the control decision module. PLC initialization control configuration is performed on the composite adhesive application process, responding to the automatic adhesive application machine for automated adhesive application control. Adhesive application control monitoring and data feedback are performed based on a monitoring equipment group. The system analyzes and locates the anomaly control point, confirming that the monitoring equipment group includes photoelectric sensors. Combined with the control decision module, parallel control decisions and fitness calibration are performed based on the anomaly control point to determine a pre-control strategy. Fitness is evaluated based on quality and efficiency. Based on the pre-control strategy, the system responds to the PLC for adhesive application feedback control. This effectively solves the problem of low adhesive application efficiency and unstable adhesive application quality caused by low automation and insufficient precision control in existing technologies, which further affects the overall product quality and production efficiency. The system achieves rapid response and execution of control commands, while dynamically adjusting based on real-time monitoring data, ensuring the accuracy and efficiency of the adhesive application process.

[0010] The above description is merely an overview of the technical solution of this application. To better understand the technical means of this application and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of this application more apparent, specific embodiments of this application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent through the following description. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0012] Figure 1 This is a flowchart illustrating the efficient control method for composite adhesive application according to this application; Figure 2 This is a schematic diagram of the structure of the high-efficiency control system for composite adhesive application in this application.

[0013] Explanation of reference numerals in the attached figures: The adhesive application process determination unit 11, the coupling control logic determination unit 12, the block configuration unit 13, the adhesive application control unit 14, the abnormal control point positioning unit 15, the control strategy acquisition unit 16, and the feedback control unit 17 are all included. Detailed Implementation

[0014] This application provides an efficient control method and system for composite adhesive application, which solves the problems of low efficiency and unstable quality caused by low automation and insufficient precision control in existing technologies, which further affect the overall quality of products and production efficiency. The system enables rapid response and execution of control commands, and dynamic adjustments based on real-time monitoring data, ensuring the accuracy and efficiency of the adhesive application process.

[0015] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0016] Example 1 Please see the appendix Figure 1 This application provides an efficient control method for laminating adhesive, wherein the method is applied to an efficient control system for laminating adhesive, and the method specifically includes the following steps: S1: Read the lamination process to determine the composite adhesive application process for cell bonding, where the number of processes is determined based on the lamination fastening requirements.

[0017] Specifically, the lamination process is a step in lithium-ion battery manufacturing, in which positive and negative electrode sheets and separators are alternately stacked to form the basic structure of the cell. Precise alignment and tight bonding of the positive and negative electrode sheets and separator are crucial for battery performance. The adhesive application process follows immediately after lamination, aiming to fix the cell structure and ensure that the relative positions of the positive and negative electrode sheets and separator do not change in subsequent processes. Adhesive application also provides additional mechanical strength, preventing deformation or damage to the cell during handling, assembly, or use. The number of steps is primarily determined by the tightness requirements of the lamination, including the location and quantity of adhesive application, as well as the strength and durability of the adhesive. For high tightness requirements, more adhesive application points or stronger adhesives are needed to ensure the stability of the cell structure. The specific location and quantity of adhesive application are determined according to the cell design and lamination process requirements. A suitable type of adhesive is selected to ensure good adhesion and durability. After lamination, automated equipment is used to apply or spray adhesive to predetermined locations. It is essential to ensure that the adhesive is evenly distributed in the areas requiring fixation, avoiding missed areas or excessive application. Allow the adhesive to cure under appropriate temperature and humidity conditions to achieve optimal adhesion. After curing, perform visual inspection and performance testing on the battery cells to ensure that the adhesive application process has not introduced any defects or problems. Once the adhesive is applied, the battery cells can proceed to the next step, such as encapsulation and testing.

[0018] S2: Based on the composite adhesive application process, determine the coupling control logic, which includes the main control line and auxiliary control line with relative independence and cooperation based on the automatic adhesive application machine, and the control coupling relationship based on the process node.

[0019] Specifically, the automatic tape applicator is equipped with a main control line and an auxiliary control line, which are relatively independent yet need to work together. The main control line is primarily responsible for controlling the main actions of the tape applicator, such as the key steps of tape feeding, cutting, and application. The auxiliary control line handles auxiliary functions, such as reading sensor data, fine-tuning the tape application position, and detecting and handling abnormal situations. The composite tape application process includes multiple process nodes, such as tape preparation, positioning, application, and curing. Each process node has a regulatory coupling relationship with both the main and auxiliary control lines; that is, the completion status of a node is fed back to the control lines, and the control lines adjust subsequent actions based on the feedback. For example, at the application node, if the auxiliary control line detects a deviation in the application position, it notifies the main control line through the regulatory coupling relationship to make adjustments, ensuring the accuracy of the tape application.

[0020] S3: Configure parallel control blocks based on the main control line and the auxiliary control line, configure a coupling host based on the control coupling relationship, and supervise the training of the control decision module.

[0021] Specifically, the main control line is responsible for the primary adhesive application action, while the auxiliary control line handles auxiliary functions. They form a parallel control block during operation, meaning they can work simultaneously to improve processing efficiency. The main and auxiliary control lines operate independently within their respective blocks, exchanging information through a pre-defined interface. This interaction ensures coordination between the main and auxiliary control lines, making the entire adhesive application process more precise and efficient. The coupling host is configured based on the control coupling relationship, connecting the main and auxiliary control lines. Through the coupling host, data sharing and command transmission between the two control lines are achieved. It monitors the working status of the main and auxiliary control lines, processes the received data, and issues control commands based on the processing results. It ensures coordinated operation between the main and auxiliary control lines, optimizing the adhesive application process. The control decision module can monitor the adhesive application process in real time, collecting and analyzing data. By comparing it with pre-defined standards, it identifies anomalies or deviations in the process.

[0022] S4: Perform PLC initialization control configuration for the composite adhesive application process, and respond to the automatic adhesive application machine to perform automated adhesive application control.

[0023] Specifically, based on the technical specifications and operational requirements of the adhesive applicator, determine the control parameters that the PLC needs to initialize. These include, but are not limited to, adhesive application speed, tape length, and application position. Write an initialization program using a PLC programming language. This includes configuring input / output devices, initializing data registers, and determining the startup sequence of each component of the adhesive applicator. Rigorous testing and debugging of the initialization program are then performed to ensure the PLC can correctly identify and control each component of the adhesive applicator, adjusting and optimizing control parameters to achieve the best adhesive application results. Once the PLC completes its initialization configuration, it will automatically control each component of the adhesive applicator according to the preset program to complete the adhesive application task.

[0024] S5: Based on the monitoring equipment group, perform adhesive application control monitoring and data feedback analysis, locate the abnormal control point, and determine that the monitoring equipment group includes photoelectric sensors.

[0025] Specifically, a set of efficient monitoring devices is configured to monitor the various parameters and performance indicators of the adhesive applicator in real time. Among these devices, photoelectric sensors are a key component. They accurately detect the presence, position, and movement of the adhesive tape during the application process. The monitoring device set monitors every step of the application process in real time, including key steps such as tape feeding, positioning, and application. The photoelectric sensors and other monitoring devices continuously collect various data during the application process, such as tape speed and positional deviation. The collected data is transmitted back to the data analysis platform in real time. Data analysis software is used to analyze and process the data to identify anomalies or potential problems in the application process. Through data analysis, data points that do not conform to preset standards are automatically identified, i.e., anomaly control points. Combining the feedback information from the monitoring devices and the data analysis results, the specific link or component where the problem occurred is precisely located.

[0026] S6: Combining the aforementioned control decision module, based on the existing control points, perform parallel control decisions and fitness calibration to determine the pre-control strategy, wherein fitness is evaluated based on quality and efficiency.

[0027] Specifically, the control and decision-making module collects and analyzes data from the monitoring equipment group, particularly data related to anomaly control points. Based on the data analysis results, the module considers multiple possible control strategies in parallel and evaluates the impact of each strategy on the adhesive application process. The primary criterion for assessing suitability is the quality of the adhesive application, including the accuracy of the tape and the flatness of the application. The module compares the changes in adhesive application quality under different control strategies. In addition to quality, the module calculates the efficiency of the adhesive applicator under various control strategies, including application speed and downtime. Based on the combined evaluation of quality and efficiency, the module selects an optimal pre-control strategy. This strategy aims to maximize both adhesive application quality and efficiency. The pre-control strategy is not static. During actual operation, the module continuously adjusts the strategy based on real-time monitoring data to adapt to different production environments and product requirements.

[0028] S7: Based on the pre-control strategy, the adhesive application feedback control is performed in response to the PLC.

[0029] Specifically, after determining the pre-control strategy, the control decision module sends it to the PLC (Programmable Logic Controller). The PLC, as the core controller of the adhesive applicator, is responsible for receiving and executing instructions from the control decision module. Upon receiving the pre-control strategy, the PLC analyzes it to determine the specific control actions and parameters. Based on the analysis results, the PLC adjusts the relevant settings of the adhesive applicator, such as the tape conveyor speed and application position, to implement the pre-control strategy. Under the control of the PLC, the adhesive applicator adjusts according to the pre-control strategy, including changing the tape conveyor speed and adjusting the position or angle of the application head to ensure the accuracy and efficiency of the adhesive application. During the execution of the control strategy by the adhesive applicator, the monitoring equipment group continuously monitors in real time. The monitoring data is fed back to the PLC in real time to promptly detect and correct any deviations or problems. The PLC dynamically adjusts based on the received real-time monitoring data. If deviations or problems are detected during the adhesive application process, the PLC adjusts the relevant parameters in a timely manner to ensure the stability and quality of the adhesive application process.

[0030] Furthermore, this application also includes: The processing control of the first adhesive application step is completed, and the first control record is temporarily stored in a temporary database. The control record includes an automated control record and a feedback adjustment record. Based on the first control record, the adjustment reference of the next-level composite process is used.

[0031] Specifically, once the first tape application step is completed, the system automatically confirms that all steps of this step have been executed according to preset standards and procedures. This includes accurate tape application, position calibration, and quality checks. Once the first tape application step is complete, a detailed control record is automatically generated. This record is temporarily stored in a temporary database. This automation control record contains all operations and control commands of the automated system during the first tape application step. For example, the tape conveying speed, application position settings, and start and end times of the step. If adjustments are needed during the tape application process, such as positional deviations or speed adjustments, these adjustments and their results are also recorded in detail. When proceeding to the next tape application step, the system automatically accesses the temporary database to retrieve the control record from the first tape application step. These records serve as important references for subsequent steps, helping the system to more accurately control the application position, speed, and other key parameters. If similar problems or deviations occur in subsequent steps, the system can quickly refer to the previous feedback and adjustment records for timely and effective adjustments.

[0032] Furthermore, step S2 of this application also includes: Based on the main control points of the automatic adhesive applicator, a main control line is determined, which includes single-process nodes of limit positioning, dispensing, curing, and short-circuit testing, and coordinated parameter control of node components. Based on the regulating components of the automatic adhesive applicator and combined with basic control logic, an auxiliary control line is determined, wherein there is at least one auxiliary control line. Guided by the control results, a coordinated regulation relationship analysis is performed on the main control line and the auxiliary control line to determine the regulation coupling relationship.

[0033] Specifically, the main control points are key stages in the adhesive application process, including single-process nodes such as limit positioning, dispensing, curing, and short-circuit testing. For each main control point, its related components, such as sensors and actuators, and the parameters that these components need to control collaboratively, such as position, speed, and temperature, are identified. Based on the collaborative parameter control of the main control points and related components, a main control line is defined. The main control line is primarily responsible for controlling the main flow and key parameters of the adhesive application process. The control components in the automatic adhesive applicator are analyzed; these components include temperature controllers, speed regulators, and pressure sensors. The basic control logic includes how to adjust its own working state based on real-time monitored data to maintain or change certain parameters of the adhesive application process. Combining the control components and the basic control logic, at least one auxiliary control line is defined. The auxiliary control line is primarily responsible for auxiliary functions in the adhesive application process, such as temperature control and speed adjustment. Guided by the control results, the collaborative working relationship between the main control line and the auxiliary control line is analyzed. That is, how to adjust the auxiliary control line to ensure that the main control line can achieve the expected control results. By analyzing the mutual influence and dependence between the primary and secondary control lines, their regulatory coupling relationship is determined. This coupling relationship manifests as a dynamic equilibrium, where an adjustment to any one control line will affect the operating state of the other.

[0034] Furthermore, this application also includes: Based on the composite adhesive application process, the main control line and the auxiliary control line are mapped to determine multiple control pairs; the multiple control pairs are traversed, and based on the composite adhesive application process, the demand control results are identified, and the demand control results correspond one-to-one with the multiple control pairs; based on the demand control results, the regulation coupling relationship is determined for the multiple control pairs by performing variable limitation and response result analysis.

[0035] Specifically, each step of the lamination process is mapped to a primary control line and secondary control lines. The functions of which primary and secondary control lines are activated or need to work collaboratively in each step are identified. During the mapping process, multiple control pairs are formed. Each control pair consists of a control point on a primary control line and one or more control points on secondary control lines, collectively influencing a specific step in the lamination process. Next, each control pair is traversed, analyzing its specific role in the lamination process. For each control pair, the desired control outcome is identified. These desired control outcomes correspond one-to-one with each control pair, clarifying the expected process parameters or quality standards in each step. Variables in each control pair are constrained. This includes identifying which variables are controllable, which are uncontrollable, and how these variables affect the desired control outcome. Based on the variable constraints, the response of each control pair under changes in given variables is analyzed. Simulation tests can be used to observe how the desired control outcome is affected when a parameter of a primary or secondary control line changes. By analyzing the response results, the regulatory coupling relationship between the primary and secondary control lines is determined. This relationship can manifest as a synergistic effect, where the primary and secondary control lines need to be adjusted simultaneously to achieve the best control results; or it can manifest as a competitive relationship, where adjustments to one side may affect the performance of the other.

[0036] Furthermore, this application also includes: Read the first control pair, and using the demand control result as a guide, analyze and determine the first coupling relationship using the main control point and the auxiliary control point as variables; analyze and determine the second coupling relationship using the auxiliary control point as a quantifier and the main control point as a variable; analyze and determine the third coupling relationship using the main control point as a quantifier and the auxiliary control point as a variable; based on the first coupling relationship, the second coupling relationship, and the third coupling relationship, use them as the first regulation coupling relationship of the first control pair.

[0037] Specifically, the first control pair is selected as the analysis object. This control pair includes a primary control point and an auxiliary control point. The required control result of the first control pair in the lamination process is defined. This result will serve as the benchmark for analyzing the control coupling relationship. The primary control point and the auxiliary control point are set as variables, i.e., the impact of parameter changes on the control result is analyzed. Through simulation tests, the corresponding changes in the required control result when the auxiliary control point parameter changes are observed. Based on the observation results, the mutual influence relationship between the primary and auxiliary control points is determined, i.e., the first coupling relationship. The auxiliary control point is set as a fixed quantity, keeping its parameter unchanged; the primary control point is set as a variable. Similarly, through simulation tests, the corresponding changes in the required control result when the primary control point parameter changes are observed. The mutual influence relationship between the auxiliary and primary control points is analyzed and determined, i.e., the second coupling relationship. The primary control point is again set as a fixed quantity, and the auxiliary control point as a variable. Through test simulations, the impact of auxiliary control point changes on the control result under specific circumstances is further explored. Based on the new data analysis results, the mutual influence relationship between the primary and auxiliary control points under this specific condition is determined, i.e., the third coupling relationship. Finally, based on the analysis results of the first, second, and third coupling relationships, the first regulatory coupling relationship of the first control pair is derived. This comprehensive regulatory coupling relationship fully reflects how the main control point and the auxiliary control point influence each other under different settings to achieve the desired control result.

[0038] Furthermore, step S3 of this application also includes: Based on the parallel control block and the coupled host, an initial decision module is determined; the concurrent analysis quantity is determined, the initial decision module is partitioned into a domain of discourse, and a decision grid is determined; operators are allocated to the decision grid, and an independent computational domain is configured to generate the control decision module, wherein the control decision module makes output decisions based on the internal competition probability of fitness.

[0039] Specifically, the coupling master unit is determined to be responsible for integrating and coordinating the regulation of various blocks. Based on the relationship between the parallel regulation blocks and the coupling master unit, a preliminary decision module is constructed. The amount of data or decisions that need to be processed simultaneously is assessed. The universe of discourse for the inputs and outputs of the initial decision module is partitioned, i.e., their possible value ranges and segments are determined. Based on the universe of discourse partitioning, a decision grid is constructed, with each grid representing a possible input-output combination. Operators are assigned to each unit in the decision grid, and these operators are responsible for making decisions based on the inputs. Independent computational domains are configured to ensure that each operator works independently within its specific computational domain, avoiding mutual interference. Finally, a regulation decision module capable of handling complex coupling relationships between parallel regulation blocks is generated. Within the decision module, a fitness-based competition mechanism is introduced. Each operator competes for the opportunity to output a decision based on its fitness, such as the accuracy and efficiency of the decision. Operators with higher fitness will have a greater probability of being selected as the final decision output.

[0040] Furthermore, step S6 of this application also includes: The control decision-making method is determined by using quantitative analysis of the main control point as the first control method, quantitative analysis of the auxiliary control point as the second control method, and multi-scale main control point variables as the third control method, which includes multiple methods. Based on the control decision-making module, parallel control response analysis is performed by traversing the control decision-making methods to determine multiple control strategies. Weighting is performed based on the operating condition demand as the benchmark, and the fitness of the multiple control strategies is calculated. Internal competition is then conducted to determine the pre-control strategy.

[0041] Specifically, the first control method uses the primary control point as the quantitative unit for control. The parameters of the primary control point remain constant, and the system response is observed by adjusting other parameters. The second control method uses the secondary control point as the quantitative unit for control. The parameters of the secondary control point are fixed, and the adjustment primarily focuses on the primary control point or other relevant parameters. The third control method uses multi-scale primary control point variables for control. This includes adjusting multiple parameters of the primary control point simultaneously or sequentially at different scales. The third control method includes multiple specific control paths or schemes. Using the constructed control decision module, simulation tests are conducted on each control method, and the response under multiple control methods is analyzed. Performance changes and potential problems under each control method are observed and recorded. Based on the results of the control response analysis, several feasible control strategies are summarized. Each strategy should clearly describe how the parameters of the primary and secondary control points should be adjusted under a specific situation. Based on actual operating conditions, such as production efficiency, cost control, and system stability, corresponding weights are assigned to each evaluation criterion. These evaluation criteria will be used to measure the effectiveness and applicability of the control strategies. For each control strategy, its fitness value is calculated based on its performance under actual operating conditions and the evaluation criteria. The fitness score is a comprehensive score reflecting the overall performance of a strategy in meeting operational requirements. Based on the fitness score, multiple control strategies are internally compared. The strategy with the highest fitness score, or the best overall performance, is selected as the pre-control strategy. If multiple strategies have similar fitness scores, other factors, such as implementation difficulty and risk assessment, can be further considered to make the final selection.

[0042] In summary, the efficient control method for composite adhesive application provided in this application has the following technical advantages: By reading the lamination process, the composite adhesive application process for battery cells is determined, where the number of processes is determined based on the lamination fastening requirements. Based on this composite adhesive application process, a coupled control logic is determined, including a main control line and an auxiliary control line with relative independence and coordination based on the automatic adhesive application machine, and a control coupling relationship based on process nodes. Parallel control blocks are configured based on the main control line and the auxiliary control line, and a coupling host is configured based on the control coupling relationship to supervise and train the control decision module. PLC initialization control configuration is performed on the composite adhesive application process, responding to the automatic adhesive application machine for automated adhesive application control. Adhesive application control monitoring and data feedback are performed based on a monitoring equipment group. The system analyzes and locates the anomaly control point, confirming that the monitoring equipment group includes photoelectric sensors. Combined with the control decision module, parallel control decisions and fitness calibration are performed based on the anomaly control point to determine a pre-control strategy. Fitness is evaluated based on quality and efficiency. Based on the pre-control strategy, the system responds to the PLC for adhesive application feedback control. This effectively solves the problem of low adhesive application efficiency and unstable adhesive application quality caused by low automation and insufficient precision control in existing technologies, which further affects the overall product quality and production efficiency. The system achieves rapid response and execution of control commands, while dynamically adjusting based on real-time monitoring data, ensuring the accuracy and efficiency of the adhesive application process.

[0043] Example 2 Based on the efficient control method for composite adhesive application described in the foregoing embodiments, and using the same inventive concept, this application also provides an efficient control system for composite adhesive application. Please refer to the appendix. Figure 2 The system includes: The adhesive application process determination unit 11 is used to read the stacking process and determine the composite adhesive application process of the battery cell, wherein the number of processes is determined based on the stacking fastening requirements.

[0044] The coupling control logic determination unit 12 is used to determine the coupling control logic based on the composite adhesive application process, which includes the main control line and auxiliary control line with relative independence and cooperation based on the automatic adhesive application machine, and the control coupling relationship based on the process node.

[0045] Block configuration unit 13 is used to configure parallel control blocks based on the main control line and the auxiliary control line, configure a coupling host based on the control coupling relationship, and supervise the training of the control decision module.

[0046] The adhesive application control unit 14 is used to perform PLC initialization control configuration for the composite adhesive application process and to perform automated adhesive application control in response to the automatic adhesive application machine.

[0047] Anomaly control point positioning unit 15 is used to perform adhesive application control monitoring and data feedback analysis based on the monitoring equipment group, locate the anomaly control point, and determine that the monitoring equipment group includes photoelectric sensors.

[0048] The regulation strategy acquisition unit 16 is used to combine with the regulation decision module, based on the existing control point, to perform parallel regulation decision and fitness calibration, and determine the pre-regulation strategy, wherein the fitness is evaluated based on quality and efficiency.

[0049] Feedback control unit 17 is used to perform adhesive application feedback control in response to the PLC based on the pre-control strategy.

[0050] Furthermore, the system also includes a feedback control record acquisition unit, which is used for: The processing control of the first adhesive application step is completed, and the first control record is temporarily stored in a temporary database. The control record includes an automated control record and a feedback adjustment record. Based on the first control record, the adjustment reference of the next-level composite process is used.

[0051] Furthermore, the coupling control logic determination unit 12 in the system is also used for: Based on the main control points of the automatic adhesive applicator, a main control line is determined, which includes single-process nodes of limit positioning, dispensing, curing, and short-circuit testing, and coordinated parameter control of node components. Based on the regulating components of the automatic adhesive applicator and combined with basic control logic, an auxiliary control line is determined, wherein there is at least one auxiliary control line. Guided by the control results, a coordinated regulation relationship analysis is performed on the main control line and the auxiliary control line to determine the regulation coupling relationship.

[0052] Furthermore, the system also includes a control coupling relationship determination unit, which is used for: Based on the composite adhesive application process, the main control line and the auxiliary control line are mapped to determine multiple control pairs; the multiple control pairs are traversed, and based on the composite adhesive application process, the demand control results are identified, and the demand control results correspond one-to-one with the multiple control pairs; based on the demand control results, the regulation coupling relationship is determined for the multiple control pairs by performing variable limitation and response result analysis.

[0053] Furthermore, the system also includes a coupling relationship analysis unit, which is used for: Read the first control pair, and using the demand control result as a guide, analyze and determine the first coupling relationship using the main control point and the auxiliary control point as variables; analyze and determine the second coupling relationship using the auxiliary control point as a quantifier and the main control point as a variable; analyze and determine the third coupling relationship using the main control point as a quantifier and the auxiliary control point as a variable; based on the first coupling relationship, the second coupling relationship, and the third coupling relationship, use them as the first regulation coupling relationship of the first control pair.

[0054] Furthermore, the block configuration unit 13 in the system is also used for: Based on the parallel control block and the coupled host, an initial decision module is determined; the concurrent analysis quantity is determined, the initial decision module is partitioned into a domain of discourse, and a decision grid is determined; operators are allocated to the decision grid, and an independent computational domain is configured to generate the control decision module, wherein the control decision module makes output decisions based on the internal competition probability of fitness.

[0055] Furthermore, the control strategy acquisition unit 16 in the system is also used for: The control decision-making method is determined by using quantitative analysis of the main control point as the first control method, quantitative analysis of the auxiliary control point as the second control method, and multi-scale main control point variables as the third control method, which includes multiple methods. Based on the control decision-making module, parallel control response analysis is performed by traversing the control decision-making methods to determine multiple control strategies. Weighting is performed based on the operating condition demand as the benchmark, and the fitness of the multiple control strategies is calculated. Internal competition is then conducted to determine the pre-control strategy.

[0056] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Figure 1 The efficient control method and specific examples for composite adhesive application in Example 1 are also applicable to the efficient control system for composite adhesive application in this embodiment. Through the foregoing detailed description of the efficient control method for composite adhesive application, those skilled in the art can clearly understand the efficient control system for composite adhesive application in this embodiment; therefore, for the sake of brevity, it will not be described in detail here. As the system disclosed in the embodiments corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant details can be found in the method section.

[0057] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0058] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application also intends to include such modifications and variations.

Claims

1. A highly efficient control method for composite adhesive bonding, characterized in that, The method includes: Read the lamination process to determine the composite adhesive application process for cell bonding, where the number of processes is determined based on the lamination fastening requirements; Based on the composite adhesive application process, a coupled control logic is determined, which includes a main control line and an auxiliary control line with relative independence and cooperation based on the automatic adhesive application machine, and a control coupling relationship based on process nodes. Parallel control blocks are configured based on the main control line and the auxiliary control line, and a coupled host is configured based on the control coupling relationship to supervise and train the control decision module. The PLC initialization control configuration is performed on the composite adhesive application process to respond to the automatic adhesive application machine and perform automated adhesive application control. Based on the monitoring equipment group, adhesive application control monitoring and data feedback analysis are performed to locate the abnormal control point and determine that the monitoring equipment group includes photoelectric sensors. In conjunction with the aforementioned control decision module, based on the existing and different control points, parallel control decisions and fitness calibration are performed to determine the pre-control strategy, wherein fitness is evaluated based on quality and efficiency. Based on the aforementioned pre-control strategy, the adhesive application feedback control is performed in response to the PLC.

2. The method as described in claim 1, characterized in that, The control of the composite adhesive application process includes: After completing the processing control of the first adhesive application step, the first control record is temporarily stored in a temporary database, wherein the control record includes an automated control record and a feedback control record. Based on the first control record, the lower-level composite process is adjusted and referenced.

3. The method as described in claim 1, characterized in that, The determination of the coupling control logic includes: The main control line is determined based on the main control points of the automatic adhesive applicator. The main control points include single-process nodes of limit-dispensing-curing-short-circuit testing, and coordinated parameter control of node components. Based on the control components of the automatic adhesive applicator and combined with the basic control logic, an auxiliary control line is determined, wherein there is at least one auxiliary control line; Based on the control results, the synergistic regulation relationship between the main control line and the auxiliary control line is analyzed to determine the regulation coupling relationship.

4. The method as described in claim 3, characterized in that, Determining the regulatory coupling relationship includes: Based on the composite adhesive application process, process mapping is performed on the main control line and the auxiliary control line to determine multiple control pairs; By traversing the multiple control pairs, based on the composite adhesive application process, the demand control result is identified, and the demand control result corresponds one-to-one with the multiple control pairs. Based on the demand control results, the regulation coupling relationship is determined for the multiple control pairs by performing variable constraint and response result analysis.

5. The method as described in claim 4, characterized in that, The determination of the regulatory coupling relationship through variable constraint and response result analysis includes: Read the first control pair, and using the demand control result as a guide, with the main control point as a variable and the auxiliary control point as a variable, analyze and determine the first coupling relationship; Using auxiliary control points as quantitative indicators and primary control points as variables, the second coupling relationship is analyzed and determined. Using the primary control point as the quantitative indicator and the secondary control point as the variable, the third coupling relationship is analyzed and determined. Based on the first coupling relationship, the second coupling relationship and the third coupling relationship, a first regulation coupling relationship is formed as the first control pair.

6. The method as described in claim 1, characterized in that, The supervised training regulation decision module includes: Based on the parallel control block and the coupled host device, the initial decision module is determined; Determine the concurrent analysis volume, divide the universe of discourse of the initial decision module, and determine the decision grid; Operators are assigned to the decision grid, and independent computational domains are configured to generate the control decision module, wherein the control decision module outputs decisions based on the internal competition probability of fitness.

7. The method as described in claim 1, characterized in that, Based on the aforementioned control points, parallel regulation decisions and fitness adjustments are performed, including: The control decision-making method is determined by using quantitative analysis of the main control point as the first control method, quantitative analysis of the auxiliary control point as the second control method, and multi-scale main control point variables as the third control method, wherein the third control method includes multiple methods. Based on the aforementioned control decision module, parallel control response analysis is performed by traversing the control decision methods to determine multiple control strategies. The evaluation criteria are weighted based on the working condition requirements, the fitness of the multiple control strategies is calculated, and internal competition is conducted to determine the pre-control strategy.

8. A high-efficiency control system for composite adhesive application, characterized in that, The system comprises: steps for implementing the method according to any one of claims 1 to 7, wherein the system includes: The adhesive application process determination unit is used to read the lamination process and determine the composite adhesive application process for cell adhesive application, wherein the number of processes is determined based on the lamination fastening requirements. A coupling control logic determination unit is used to determine the coupling control logic based on the composite adhesive application process, including a main control line and an auxiliary control line with relative independence and cooperation based on the automatic adhesive application machine, and a control coupling relationship based on the process node. A block configuration unit is used to configure parallel control blocks based on the main control line and the auxiliary control line, configure a coupling host based on the control coupling relationship, and supervise the training of the control decision module. An adhesive application control unit is used to perform PLC initialization control configuration for the composite adhesive application process and to perform automated adhesive application control in response to the automatic adhesive application machine. An anomaly control point positioning unit is used to perform adhesive application control monitoring and data feedback analysis based on the monitoring equipment group, locate the anomaly control point, and determine that the monitoring equipment group includes photoelectric sensors. The regulation strategy acquisition unit is used to combine the regulation decision module, based on the existing control point, to perform parallel regulation decision-making and fitness calibration, and determine the pre-regulation strategy, wherein the fitness is evaluated based on quality and efficiency. A feedback control unit is used to perform adhesive application feedback control in response to the PLC based on the pre-control strategy.

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