Process management and control method and system for battery module

Abstract

The invention discloses a process management and control method and system for a battery module, and belongs to the technical field of battery modules. In each process node, a corresponding assembly stage is determined according to analysis of process information, and the use progress of associated materials is determined according to the assembly stage and a manufacturing process database; therefore, the assembly process table of the battery module is updated, so that the process management and control effect of the battery module is improved. Meanwhile, determining an abnormal process part based on anomaly detection of the process dynamic graph of the battery module; and determining a corresponding abnormal process node according to the identification of the abnormal process part, and determining a process jump event of the battery module based on an abnormal event of the abnormal process node and the process execution content corresponding to the battery module so as to trigger a process optimization measure corresponding to the process jump event. The recognition accuracy of the process jump event is improved, the accuracy of the process optimization measure is realized, and the process management and control effect of the battery module is further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of battery modules, and in particular to a process control method and system for battery modules. Background Art

[0002] With the development of science and technology, battery modules are gradually applied to electronic devices and supply power to the electronic components of electronic devices. Battery modules are assembled in multiple processes in the factory and finally output the final form for the market. In the existing technology, battery modules are assembled along the corresponding process chain during the assembly process and pass through multiple process nodes in sequence. However, the battery module does not record the corresponding material usage progress during the execution of each process node, which affects the accuracy of the battery module assembly history table and reduces the accuracy of identifying process jump events. Summary of the Invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art, and the present invention provides a process control method and system for a battery module.

[0004] An embodiment of the present invention provides a process control method for a battery module, comprising: Determine the process chain of the battery module based on the battery module model and manufacturing process database; Determine multiple process nodes based on the traversal of the process chain of the battery module, and mark corresponding process information in each process node; At each process node, the corresponding assembly stage is determined based on the analysis of the process information. The usage progress of the associated materials is determined based on the assembly stage and the manufacturing process database to update the battery module assembly history table. Determining a plurality of completed process nodes based on traversing the assembly history table, determining a process dynamic graph of the battery module based on the plurality of completed process nodes, and determining an abnormal process portion based on abnormality detection of the process dynamic graph of the battery module; The corresponding abnormal process node is determined based on the identification of the abnormal process part, and the process jump event of the battery module is determined based on the abnormal event of the abnormal process node and the process execution content corresponding to the battery module to trigger the process optimization measures corresponding to the process jump event.

[0005] An embodiment of the present invention provides a process control system for a battery module. The process control system for a battery module is applied to the process control method for a battery module described above. The process control system for a battery module includes: The process chain module is used to determine the process chain of the battery module according to the battery module model and manufacturing process database; A process node module is used to determine multiple process nodes based on the traversal of the process chain of the battery module and mark the corresponding process information in each process node; An assembly history table module is used to determine the corresponding assembly stage at each process node based on the analysis of the process information, and to determine the usage progress of the associated materials based on the assembly stage and the manufacturing process database to update the assembly history table of the battery module; An abnormal process part module is used to determine multiple completed process nodes based on the traversal of the assembly history table, determine the process dynamic graph of the battery module based on the multiple completed process nodes, and determine the abnormal process part based on abnormality detection of the process dynamic graph of the battery module; The process optimization measures module is used to determine the corresponding abnormal process node based on the identification of the abnormal process part, and determine the process jump event of the battery module based on the abnormal event of the abnormal process node and the process execution content corresponding to the battery module to trigger the process optimization measures corresponding to the process jump event.

[0006] Compared with the prior art, the present invention has the following beneficial effects: In an embodiment of the present invention, the corresponding process information is marked in each process node through the method in the embodiment of the present invention; in each process node, the corresponding assembly stage is determined based on the analysis of the process information, and the usage progress of the related materials is determined based on the assembly stage and the manufacturing process database to update the assembly history table of the battery module. The assembly stage is introduced to ensure the accuracy of the assembly stage and material usage progress of the battery module, and to achieve precise control of the assembly history table of the battery module, so as to improve the process management and control effect of the battery module.

[0007] Therefore, based on the traversal of the assembly history table, multiple completed process nodes are determined, the process dynamic graph of the battery module is determined based on the multiple completed process nodes, and the abnormal process part is determined based on the anomaly detection of the process dynamic graph of the battery module; the corresponding abnormal process node is determined based on the identification of the abnormal process part, and the process jump event of the battery module is determined based on the abnormal event of the abnormal process node and the process execution content corresponding to the battery module to trigger the process optimization measures corresponding to the process jump event. The abnormal process part is introduced, and the overall consideration of the abnormal event of the abnormal process node and the process execution content corresponding to the battery module is compatible, thereby improving the identification accuracy of the process jump event, achieving the accuracy of the process optimization measures, and further improving the process control effect of the battery module. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 1 is a flow chart of a process control method for a battery module in an embodiment of the present invention; Figure 21 is a flow chart of step S11 in the process control method of the battery module in an embodiment of the present invention; Figure 3 1 is a flow chart of step S12 in the process control method of the battery module in an embodiment of the present invention; Figure 4 1 is a flow chart of step S13 in the process control method of the battery module in an embodiment of the present invention; Figure 5 1 is a flow chart of step S14 in the process control method of the battery module in an embodiment of the present invention; Figure 6 1 is a flow chart of step S15 in the process control method of the battery module in an embodiment of the present invention; Figure 7 It is a schematic diagram of the structural composition of the process control system of the battery module in an embodiment of the present invention. DETAILED DESCRIPTION

[0009] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0010] See also Figures 1 to 7 A battery module process control method is applied to the battery module process control scenario; the battery module process control method includes: Step S11: determining the process chain of the battery module according to the battery module model and the manufacturing process database; Step S12: determining a plurality of process nodes based on the traversal of the process chain of the battery module, and marking corresponding process information in each process node; Step S13: At each process node, the corresponding assembly stage is determined based on the parsed process information, and the usage progress of the associated materials is determined based on the assembly stage and the manufacturing process database to update the battery module assembly history table; Step S14: determining a plurality of completed process nodes based on traversing the assembly history table, determining a process dynamic graph of the battery module based on the plurality of completed process nodes, and determining abnormal process portions based on abnormality detection of the process dynamic graph of the battery module; Step S15: Determine the corresponding abnormal process node based on the identification of the abnormal process portion, and determine a process skip event for the battery module based on the abnormal event of the abnormal process node and the process execution content corresponding to the battery module, so as to trigger the process optimization measures corresponding to the process skip event; refer to Figure 2 , in step S11, determining the process chain of the battery module according to the model of the battery module and the manufacturing process database; In the specific implementation process of the present invention, the specific steps are: S111: Collecting the model of the battery module, and determining the theoretical form of the battery module based on the model of the battery module and the battery module database; at the same time, collecting the current form of the battery module, the theoretical form of the battery module, and the manufacturing process database to determine the assembly content to be completed for the battery module; S112: Determining a plurality of sub-assembly items based on analysis of the assembly content to be completed for the battery module, and determining a plurality of process nodes to be completed based on matching the plurality of sub-assembly items with a manufacturing process database; S113: Marking the assembly contents corresponding to the multiple process nodes to be completed; determining the process chain of the battery module according to the multiple process nodes to be completed, the corresponding assembly contents and the current state of the battery module.

[0011] In an embodiment of the present application, the model of the battery module is collected, and the theoretical form of the battery module is determined based on the model of the battery module and the battery module database; at the same time, the current form of the battery module, the theoretical form of the battery module and the manufacturing process database are collected to determine the assembly content to be completed of the battery module, which is compatible with the overall consideration of the battery module model and the battery module database, and ensures the accuracy of the theoretical form of the battery module.

[0012] At this time, collecting the model of the battery module usually involves obtaining model information from the battery module's production plan, purchase order, label, or directly from the module itself; model information is usually a string of characters or codes used to uniquely identify the battery module's specifications, capacity, size and other key attributes; at this time, the model information "BM-P12345" is obtained by scanning the barcode or QR code on the battery module.

[0013] Based on the collected model information, the corresponding theoretical form is queried in the battery module database; the theoretical form is a comprehensive description, including the expected structure, component layout, material list, performance parameters, etc. of the battery module; at this time, the model "BM-P12345" is entered into the battery module database to query the theoretical form of the model, including information such as battery cell type, quantity, arrangement, packaging material, cooling system, etc.

[0014] Compare the current form and theoretical form of the battery module, and refer to the manufacturing process database to determine what assembly content still needs to be completed; the current form is a partially assembled module, or a brand new module that has not yet been assembled; at this time, assume that the current form is a module with battery cells installed but not packaged; by comparing the theoretical form (battery cells installed, packaging completed, cooling system integrated, etc.) and the current form (battery cells installed, packaging not completed, cooling system not integrated), and referring to the steps in the manufacturing process database (battery cell installation> packaging> cooling system integration> performance testing), determine that the assembly content to be completed includes packaging and cooling system integration.

[0015] Furthermore, multiple sub-assembly projects are determined based on the analysis of the assembly content to be completed of the battery module, and multiple process nodes to be completed are determined based on the matching of multiple sub-assembly projects and the manufacturing process database. This is compatible with the overall consideration of the matching of multiple sub-assembly projects and the manufacturing process database, ensuring the accuracy of multiple process nodes to be completed.

[0016] At this point, conduct an in-depth analysis of the assembly content to be completed and break it down into multiple specific sub-assembly projects; these sub-assembly projects are usually smaller, more specific tasks or steps in the assembly process, which together constitute the entire assembly process; at this point, if the assembly content to be completed includes "installation of the packaging shell and integration of the cooling system", further break it down into the following sub-assembly projects: Sub-project 1: Prepare the packaging shell and its accessories (such as gaskets, screws, etc.); Sub-project 2: Place the battery cell module into the packaging shell and preliminarily fix it; Sub-project 3: Install and tighten the cover or side panel of the packaging shell; Sub-project 4: Prepare cooling system components (such as radiators, fans, cooling pipes, etc.); Sub-project 5: Integrate the cooling system components onto or inside the packaging shell; Sub-project 6: Connect and test the cooling system (such as connecting pipes, testing heat dissipation effects, etc.).

[0017] After the sub-assembly items are determined, these items need to be matched with the information in the manufacturing process database to find the corresponding process nodes; process nodes are key control points in the production process, and they represent the completion of specific operations or inspections; at this time, the above sub-assembly items are matched with the manufacturing process database to determine the following process nodes to be completed: Process node 1: The packaging shell and its accessories are ready; Process node 2: The battery cell module is placed in the packaging shell and preliminarily fixed; Process node 3: The packaging shell cover or side panel is installed and tightened; Process node 4: The cooling system components are ready; Process node 5: The cooling system components are integrated into or inside the packaging shell; Process node 6: The cooling system is connected and tested.

[0018] Specifically, assume that a battery module model "BM-P12345" is being produced. The module has completed the installation of the battery cells. Next, the packaging shell needs to be installed and the cooling system needs to be integrated; prepare the packaging shell and its accessories; place the battery cell module in the packaging shell and initially fix it; install and tighten the cover of the packaging shell; prepare the cooling system components; integrate the cooling system components into the packaging shell; and connect and test the cooling system.

[0019] Identify multiple process nodes to be completed: the packaging shell and its accessories are prepared (process node 1); the battery cell module is placed in the packaging shell and preliminarily fixed (process node 2); the packaging shell cover is installed and tightened (process node 3); the cooling system components are prepared (process node 4); the cooling system components are integrated into the packaging shell (process node 5); the cooling system is connected and tested (process node 6).

[0020] Therefore, the assembly contents corresponding to multiple process nodes to be completed are marked; the process chain of the battery module is determined according to the multiple process nodes to be completed, the corresponding assembly contents and the current form of the battery module, which is compatible with the overall consideration of multiple process nodes to be completed, the corresponding assembly contents and the current form of the battery module, and ensures the accuracy of the process chain of the battery module.

[0021] At this point, assign a clear identifier to each process node to be completed, and record or label the assembly content corresponding to that node. This will help quickly identify the specific tasks and requirements of each process node during subsequent production, ensuring the accuracy and traceability of the production process. At this point, assign a unique number to each process node and record this number and its corresponding assembly content in the production management system or process documentation. Suppose there are the following process nodes to be completed: Process Node 1: Package casing and its accessories are prepared; Process Node 2: Cell module is placed in the package casing and initially secured; ... (other process nodes are omitted); assign numbers to these nodes, such as N1, N2, etc., and clearly indicate the assembly content corresponding to each node in the record, such as N1 corresponding to "Package casing and its accessories are prepared."

[0022] After marking the process nodes to be completed and their corresponding assembly content, it is necessary to comprehensively determine the process chain of the entire battery module based on this information and the current form of the battery module. The process chain is an ordered collection of all process nodes in the production process, which reflects all the steps and sequence required to go from the current form to the final product. At this time, when determining the process chain, it is necessary to consider the current form of the battery module (such as the completed battery cell installation), the process nodes to be completed (such as the installation of the packaging shell, the integration of the cooling system, etc.) and the logical relationship between these nodes (such as sequence, dependency, etc.); by integrating this information, a complete process chain is constructed, such as: current form (battery cell installed) > process node 1 (packaging shell and its accessories are ready) > process node 2 (battery cell module is placed in the packaging shell and initially fixed) > (other process nodes are arranged in sequence) > final form (battery module packaging is completed and the cooling system is integrated).

[0023] In some embodiments of the present application, a matching table of process nodes to be completed is collected, and the matching table of process nodes to be completed is shown in Table 1: Table 1 Process node matching table to be completed

[0024] refer to Figure 3 In step S12, a plurality of process nodes are determined based on the traversal of the process chain of the battery module, and corresponding process information is marked in each process node; In the specific implementation process of the present invention, the specific steps are: S121: Collecting a process chain of the battery module, determining multiple assembly process segments based on traversing the process chain of the battery module, and determining corresponding process nodes based on tracing the multiple assembly process segments to collect multiple process nodes; S122: sorting the multiple process nodes, previewing the completed form of the battery module at each process node based on the process contents of the multiple process nodes and the current form of the battery module, and marking the assembly steps of each process node; S123: Determine the first information based on the assembly steps of each process node and the current form of the battery module, determine the second information based on the assembly steps of each process node and the completed form of the battery module at each process node, and determine the process information corresponding to each process node based on the synthesis of the first information and the second information.

[0025] In an embodiment of the present application, the process chain of the battery module is collected, and multiple assembly process segments are determined based on the traversal of the process chain of the battery module. The corresponding process nodes are determined based on the tracing of the multiple assembly process segments. The collection of multiple process nodes is compatible with the overall consideration of the tracing of multiple assembly process segments, thereby ensuring the accuracy of the corresponding process nodes.

[0026] At this time, the process chain of the battery module is collected. At the same time, the complete process chain of the battery module is collected from the production management system, process documents or other reliable sources; the process chain is an ordered task list that describes in detail all the steps required from the starting form to the final completed form of the battery module; these steps are usually arranged in a logical order to ensure the continuity and efficiency of the production process; optionally, the process chain information is extracted from the production management system or process documents.

[0027] After collecting the process chain of the battery module, it is necessary to traverse this chain and divide it into several assembly process segments based on factors such as the nature of the process, required materials, equipment or skills; each assembly process segment represents a group of related and logically closely connected processes, which usually need to be completed in the same work area, using the same or similar equipment or skills; at this time, traverse the process chain and analyze the nature and requirements of each process; divide the process chain into several assembly process segments based on the logical relationship between the processes and the required resources; assign a unique identifier to each assembly process segment for subsequent reference and management.

[0028] After determining the assembly process segments, it is necessary to further trace each process segment to determine its corresponding process node; a process node is a specific point in the process chain, representing a specific assembly step or checkpoint; by tracing the assembly process segments, the key steps or checkpoints in each process segment are identified and collected as process nodes.

[0029] Specifically, assuming that a battery module is being produced, the process chain is as follows: prepare battery cells and packaging materials; arrange the battery cells in the packaging materials in the specified direction; use welding equipment to connect the battery cells and the packaging materials; perform an appearance inspection on the welded battery module; place the battery module in the testing equipment for performance testing; and sort and package the battery modules according to the test results.

[0030] Based on this process chain, it is divided into the following two assembly process segments: the packaging process segment (steps 1-3): including preparing battery cells and packaging materials, arranging battery cells in the packaging materials, and connecting the battery cells and packaging materials using welding equipment; the testing and packaging process segment (steps 4-6): including inspecting the appearance, performing performance tests, and sorting and packaging battery modules based on the test results. Further tracing back these two assembly process segments, the following process nodes are identified: Packaging process segment node 1: Preparation of battery cells and packaging materials is completed; Packaging process segment node 2: Arrangement of battery cells in packaging materials is completed; Packaging process segment node 3: Connection between battery cells and packaging materials is completed; Testing and packaging process segment node 1: Appearance inspection is completed; Testing and packaging process segment node 2: Performance test is completed; Testing and packaging process segment node 3: Battery module sorting and packaging are completed; Through these steps, multiple process nodes of battery modules are successfully collected, providing clear and orderly guidance for subsequent production processes.

[0031] Furthermore, multiple process nodes are sorted, and the completed form of the battery module at each process node is previewed based on the process content of the multiple process nodes and the current form of the battery module, and the assembly steps of each process node are marked, and the method of marking the assembly steps of each process node is introduced.

[0032] At this time, according to the process chain of the battery module, the multiple process nodes collected previously are sorted; the purpose of sorting is to ensure that the process nodes are arranged in the actual order in the production process, so that subsequent production activities can be carried out in an orderly and efficient manner; sorting is usually based on the logical relationship, dependency and sequence between process nodes; at this time, review the process chain of the battery module to understand the position and role of each process node in the entire production process; sort the process nodes according to the order of steps described in the process chain; ensure that the sorted process node list is consistent with the order of steps in the process chain.

[0033] After sorting the process nodes, it is necessary to preview the form of the battery module after each process node is completed based on the process content of each process node and the current form of the battery module; the purpose of the preview is to help understand the specific impact of each process node on the form of the battery module, and to ensure that subsequent processes can proceed smoothly; through the preview, potential problems or challenges can be discovered, and measures can be taken in advance to solve them; at this time, for each process node, carefully read its process content and understand the specific operations to be performed; according to the current form of the battery module, imagine or simulate the changes in the form of the battery module after executing the process; record the preview results, including a description of the form of the battery module after each process node is completed.

[0034] After rehearsing the completed form of the battery module at each process node, detailed assembly steps need to be marked for each process node; the assembly steps are specific operating guidelines to guide production personnel on how to perform each process node; the purpose of marking the assembly steps is to ensure that production personnel can accurately and efficiently perform the tasks of each process node, thereby producing battery modules that meet quality requirements; at this time, for each process node, detailed assembly steps are formulated according to its process content and rehearsal results; the assembly steps should include key information such as required materials, tools, equipment, operating methods, precautions, etc.; the assembly steps should be recorded in a clear and easy-to-understand manner, such as using flow charts, operating guidelines or process documents; ensure the accuracy and completeness of the assembly steps so that production personnel can execute them smoothly.

[0035] Specifically, assume that a battery module is being produced, and the following process nodes have been collected and sorted: packaging shell preparation is completed; battery cell arrangement and preliminary fixation are completed; welding and packaging are completed; appearance inspection and performance testing are completed; packaging and shipment preparation are completed; Now, we will preview and label the assembly steps based on these process nodes: Process node 1: Encapsulation shell is ready Rehearsal: Prepare a package shell that meets the specifications and ensure that there is no damage or deformation; Assembly step: Check the specifications and quality of the package shell and prepare necessary auxiliary materials and tools.

[0036] Process node 2: Cell arrangement and initial fixation completed Rehearsal: Arrange the battery cells in the packaging shell in the prescribed direction and order, and perform preliminary fixation; Assembly steps: Use special tools to place the battery cells one by one into the packaging shell, ensure that the spacing and arrangement between the battery cells meet the requirements, and then perform preliminary fixation.

[0037] Process Node 3: Soldering and packaging completed Rehearsal: Use welding equipment to connect the battery cell to the packaging shell and perform packaging processing; Assembly steps: Start the welding equipment, perform welding operations according to the predetermined welding parameters to ensure welding quality; then perform packaging processing, such as gluing, sealing, etc.

[0038] Process Node 4: Appearance inspection and performance testing completed Rehearsal: Perform an appearance inspection on the battery module after welding and perform a performance test; Assembly steps: Use visual inspection methods to check the appearance quality of the battery module; Place the battery module in the test equipment, test it according to the predetermined test parameters, and record the test results.

[0039] Process Node 5: Packaging and Shipping Preparation Completed Rehearsal: Pack the battery modules that have passed the test and prepare them for shipment; Assembly steps: Select packaging materials that meet the requirements and pack the battery modules according to the prescribed packaging method; Fill out the shipping documents and prepare for shipment; Through the above steps, the assembly steps of each process node are successfully marked, and detailed guidance is provided for the subsequent production process.

[0040] Therefore, the first information is determined according to the assembly steps of each process node and the current form of the battery module, and the second information is determined according to the assembly steps of each process node and the completed form of the battery module at each process node. The process information corresponding to each process node is determined based on the synthesis of the first information and the second information, which is compatible with the overall consideration of the synthesis of the first information and the second information, and ensures the accuracy of the process information corresponding to each process node.

[0041] At this time, the first information is determined based on the assembly steps of each process node and the current form of the battery module; the first information mainly describes the initial state of each process node before execution, including the current form of the battery module, required materials, tools, equipment and any prerequisites directly related to the process node; this information is crucial for understanding and executing each process node because it provides the necessary background information and context; at this time, review the assembly steps of each process node to understand the specific operations that need to be performed; analyze the current form of the battery module to determine whether it meets the requirements for executing the process node; list all prerequisites directly related to the process node, such as required materials, tools, equipment, etc.; integrate this information together to form a detailed description of the first information.

[0042] After determining the first information, it is necessary to determine the second information based on the assembly steps of each process node and the completed form of the battery module at each process node; the second information mainly describes the result status of each process node after execution, including the morphological changes of the battery module after completing the process node, any intermediate products or by-products produced, and any subsequent steps or conditions directly related to the process node; this information is crucial for evaluating the execution effect of the process node, monitoring production progress, and ensuring product quality; at this time, execute the assembly steps of each process node and record its execution process; observe the morphological changes of the battery module after completing the process node, and record any intermediate products or by-products produced; analyze the impact of the process node on subsequent steps or conditions, and list any related subsequent steps or conditions; integrate this information together to form a detailed description of the second information.

[0043] After determining the first and second information, they need to be combined to determine the process information corresponding to each process node. The process information is a comprehensive and comprehensive description that includes the initial state, execution process, result state, and any prerequisites, subsequent steps, or conditions directly related to each process node. This information provides detailed guidance for production personnel to help them understand and perform the tasks of each process node. At this time, the first and second information are compared and analyzed together. Any overlapping or complementary parts between the two information are identified and integrated to form a clear, accurate, and complete process information description, including key elements such as the name of the process node, initial state, execution process, result state, prerequisites, subsequent steps, or conditions. The process information should be recorded in an appropriate manner, such as using a flow chart, operating instructions, or process documents, so that subsequent production activities can proceed smoothly. refer to Figure 4In step S13, at each process node, the corresponding assembly stage is determined based on the analysis of the process information, and the usage progress of the associated materials is determined based on the assembly stage and the manufacturing process database to update the assembly history table of the battery module; In the specific implementation process of the present invention, the specific steps are: S131: Real-time monitoring of the battery module assembly process at each process node, and real-time updating of the battery module process information at the current time. Based on the analysis of the process information, the next assembly task information of the battery module is determined, and the corresponding assembly stage is determined based on the next assembly task information of the battery module and the current state of the battery module; S132: Marking a completed assembly event of the battery module for the assembly stage, determining a matching relationship between the battery module and the material based on the analysis of the completed assembly event of the battery module; collecting a manufacturing process database, and determining usage of the corresponding material based on the matching relationship between the battery module and the material and the manufacturing process database; S133: Determine the usage progress of related materials based on the completed assembly events of the battery module, the usage of materials and the assembly progress of the battery module; construct an assembly history table of the battery module based on the usage progress of related materials, the completed assembly events of the battery module and the various forms of the battery module relative to each process node, and dynamically update the assembly history table of the battery module.

[0044] In an embodiment of the present application, the assembly process of the battery module at each process node is monitored in real time, and the process information of the battery module at the current time is updated in real time. The next assembly task information of the battery module is determined based on the analysis of the process information, and the corresponding assembly stage is determined according to the next assembly task information of the battery module and the current form of the battery module. This is compatible with the overall consideration of the next assembly task information of the battery module and the current form of the battery module, ensuring the accuracy of the corresponding assembly stage.

[0045] At this time, the assembly process of the battery module at each process node is monitored in real time. The system updates the process information of the battery module at the current time based on the real-time monitoring data; this includes the progress of the process, quality status, and any issues or suggestions that require special attention; at this time, the database is used to store and update the process information of the battery module, including timestamps, process status, quality scores, etc.; the assembly progress and quality status of the battery module are displayed in real time through charts, dashboards, etc.

[0046] The system determines the next assembly task for the battery module by analyzing current process information, such as process completion status and quality scores. This requires considering multiple factors, such as dependencies between processes, availability of materials and equipment, and production plan priorities. At this point, the rule engine is used to analyze current process information and determine the next assembly task based on preset rules and logic. The optimization algorithm is used to select the best one among multiple feasible tasks to maximize production efficiency and quality.

[0047] The system determines the current assembly stage of the battery module based on the next assembly task information and the current state of the battery module (such as the arrangement of the battery cells, the welding status of the PCM, etc.); this helps the operator or system understand the position and status of the battery module in the entire assembly process; at this time, the state machine is used to represent the conversion relationship between the battery module in different assembly stages; the current assembly stage and the next task of the battery module are displayed in real time through the user interface or operation panel.

[0048] Furthermore, the completed assembly events of the battery module are marked for the assembly stage, and the matching relationship between the battery module and the material is determined based on the analysis of the completed assembly events of the battery module; the manufacturing process database is collected, and the usage of the corresponding materials is determined based on the matching relationship between the battery module and the material and the manufacturing process database, which is compatible with the overall consideration of the matching relationship between the battery module and the material and the manufacturing process database, and ensures the accuracy of the usage of the corresponding materials.

[0049] At this point, the system needs to record and mark the specific events completed by the battery module at each assembly stage; this includes the timestamp, location, operators involved, tools or equipment used, and the specific content of the event (such as the successful welding of the battery cell and PCM, the successful packaging of the battery module, etc.); marking these events will help with the subsequent traceability and analysis of the assembly process; at this point, the system maintains an event log to record event information for each assembly stage; use specific identifiers or tags to mark completed events for easy identification in subsequent steps.

[0050] Based on the completed assembly events, the system needs to parse and determine the matching relationship between the battery module and the materials used; this includes identifying which materials are used in specific assembly steps and the correspondence between these materials and the battery module; this is critical to ensuring the correct use of materials and tracking the use of materials; at this time, the system maintains a bill of materials that lists the materials required for each assembly stage; by comparing the completed assembly events and the bill of materials, the system uses a matching algorithm to determine the correspondence between materials and battery modules.

[0051] The system needs to collect relevant information from the manufacturing process database to understand the usage of materials; the manufacturing process database usually contains detailed information such as material specifications, quantities, batches, suppliers, and the usage and expected results of these materials in different assembly stages; by collecting this information, the system ensures that the use of materials meets the requirements of the manufacturing process and promptly detects any potential material shortages or quality problems; at this time, the system obtains relevant information about the materials by querying the manufacturing process database; the system analyzes the collected data to determine whether the usage of the materials meets expectations.

[0052] Therefore, the usage progress of related materials is determined according to the completed assembly events of the battery module, the usage status of materials and the assembly progress of the battery module; the assembly history table of the battery module is constructed based on the usage progress of related materials, the completed assembly events of the battery module and the various forms of the battery module relative to each process node, and the assembly history table of the battery module is dynamically updated, which is compatible with the overall consideration of the completed assembly events of the battery module, the usage status of materials and the assembly progress of the battery module, and ensures the accuracy of the usage progress of related materials. At the same time, the assembly stage is introduced to ensure the accuracy of the assembly stage of the battery module and the material usage progress, and realizes the precise control of the assembly history table of the battery module, so as to improve the process control effect of the battery module.

[0053] At this time, the system needs to comprehensively consider the completed assembly events of the battery module, the usage of materials and the overall assembly progress of the battery module to determine the usage progress of materials associated with the current assembly stage; this includes calculating the amount of used materials, the amount of remaining materials, and the rate of material usage. Understanding the material usage progress helps to replenish materials in a timely manner, adjust production plans, and ensure the balance between material supply and production demand. At this time, the system integrates data from different sources, including assembly event logs, material usage reports and assembly progress tracking information. The system calculates the material usage progress, including the amount used, the remaining amount and the usage rate. The system displays the material usage progress in the form of charts or reports so that operators or managers can quickly understand the material usage.

[0054] The system needs to build a detailed assembly history table for the battery module based on the usage progress of the associated materials, the completed assembly events of the battery module, and the shape of the battery module relative to each process node; this history table should include the status of the battery module at each process node, timestamp, operators involved, materials and tools used, and records of any abnormal or error conditions; building an assembly history table helps to trace and analyze the assembly process and improve production transparency and traceability; at this time, the system collects all data related to the assembly process, including the status of process nodes, timestamps, operator information, material usage records, etc.; the system designs a structured history table to store and display key information in the assembly process; the system fills the collected data into the history table and dynamically updates the content of the history table according to changes in the assembly progress.

[0055] As the assembly process progresses, the assembly history table of the battery module needs to be continuously updated to reflect the latest assembly status and progress; this includes adding new assembly events, updating material usage, and adjusting assembly progress information; dynamic updating of the assembly history table helps ensure the accuracy and timeliness of information, and provides real-time support for production management and decision-making; at this time, the system monitors key data in the assembly process in real time, including status changes of process nodes, increases and decreases in material usage, etc.; the system sets up an automatic update mechanism to automatically update the contents of the assembly history table when the data changes; the system sends notifications or reports to relevant personnel so that they can keep abreast of changes in assembly progress and any potential problems.

[0056] In some embodiments of the present application, an assembly history table is collected, and the assembly history table is shown in Table 2: Table 2 Assembly process

[0057] refer to Figure 5 In step S14, a plurality of completed process nodes are determined based on the traversal of the assembly history table, a process dynamic graph of the battery module is determined based on the plurality of completed process nodes, and an abnormal process portion is determined based on anomaly detection of the process dynamic graph of the battery module; In the specific implementation process of the present invention, the specific steps are: S141: collecting the assembly history table, marking the current process node of the battery module based on the traversal of the assembly history table, and determining multiple completed process nodes based on the comparison of the current process node of the battery module and the process chain; S142: Collecting the morphology of the battery modules corresponding to the completed process nodes from among the multiple completed process nodes, and determining a first dynamic graph according to the order of the multiple completed process nodes and the morphology of the battery modules corresponding to the completed process nodes; S143: Determine the second dynamic graph based on the shape of the battery module corresponding to the completed process node and the completed assembly event corresponding to the battery module, and determine the process dynamic graph of the battery module based on the synthesis of the first dynamic graph and the second dynamic graph; determine the corresponding abnormal area based on the abnormal detection of the process dynamic graph of the battery module, and determine the corresponding abnormal process part based on the identification of the abnormal area.

[0058] In an embodiment of the present application, the assembly history table is collected, the current process node of the battery module is marked based on the traversal of the assembly history table, and multiple completed process nodes are determined based on the comparison between the current process node of the battery module and the process chain. This is compatible with the overall consideration of the comparison between the current process node of the battery module and the process chain, ensuring the accuracy of multiple completed process nodes.

[0059] At this point, the system collects the assembly history table. It needs to traverse the assembly history table and mark the current process node of the battery module according to the records in the table. This is usually done by identifying the latest record in the table or the record with a specific status mark. The current process node represents the current assembly stage of the battery module. At this time, the system traverses the data in the assembly history table according to timestamps or other sorting rules; the system identifies the latest record or the record with a specific status mark, and marks the corresponding process node as the current process node; the system stores the information of the current process node in a variable or data structure for use in subsequent steps.

[0060] The system needs to compare the current process node with the predetermined process chain; the process chain is a sequence that defines all steps of the battery module from the starting process to the final process; by comparing the current process node and the process chain, the system determines all completed process nodes; at this time, the system obtains the predetermined process chain information from the configuration file, database or other source; the system compares the current process node with the steps in the process chain to determine the completed process nodes; the system stores the information of the completed process nodes in a list, array or other data structure for use in subsequent steps.

[0061] Furthermore, among multiple completed process nodes, the shapes of battery modules corresponding to the completed process nodes are collected, and the first dynamic graph is determined according to the order of the multiple completed process nodes and the shapes of battery modules corresponding to the completed process nodes. This is compatible with the overall consideration of the order of the multiple completed process nodes and the shapes of battery modules corresponding to the completed process nodes, thereby ensuring the accuracy of the first dynamic graph.

[0062] At this time, the morphological information of the corresponding battery module is collected for each completed process node from the assembly history table or related data records; these morphological information include the physical structure, size, connection status, appearance characteristics, etc. of the battery module, which describe the specific state of the battery module after each process is completed; at this time, the system retrieves the battery module morphological information corresponding to each node from the assembly history table or related data records based on the list of completed process nodes; the system extracts the morphological description, pictures, videos or other visual materials of the battery module under each process node; the system stores the extracted morphological information in memory, database or file system for use in subsequent steps.

[0063] A dynamic graph is generated by using the collected battery module morphological information and combining it with the sequence of multiple completed process nodes. This dynamic graph will show the morphological change process of the battery module from the starting process to the current process (or a specific process). The dynamic graph is presented in the form of a timeline, animation or a series of static images. At this time, the system sorts the completed process nodes according to the sequence in the process chain or assembly history table to ensure that they are arranged in the order in which they actually occurred. The system integrates the battery module morphological information under each process node to ensure that they can be displayed continuously and smoothly in the dynamic graph. The system uses graphics processing software, animation tools or custom scripts and algorithms to generate a first dynamic graph based on the sorted process nodes and corresponding morphological information. The system outputs the generated first dynamic graph to a screen, printer or other display device, or stores it in a file system for subsequent use.

[0064] Specifically, assume that a battery module is being assembled and the two processes of cell pretreatment and cell and PCM welding have been completed; according to step S141, these two processes have been determined as completed process nodes; cell pretreatment: in this process, the form of the battery module is that the cells are neatly arranged on the tray, there is a certain distance between each cell, and there are no scratches or damage on the surface of the cell; cell and PCM welding: in this process, the form of the battery module is that the cell and PCM (protective circuit board) have been connected together by welding, and the welding points are firm and there are no cold or leaking welds.

[0065] The system generates a dynamic image based on the order of the two processes of battery cell pretreatment and battery cell and PCM welding, as well as their corresponding battery module morphology information. The dynamic image first shows the morphology of the battery cells after pretreatment, that is, the scene of the battery cells neatly arranged on the tray; then, the dynamic image shows the process or result of the battery cell and PCM welding, that is, the scene of the battery cell and PCM being connected together by welding; the dynamic image also includes some transition effects, such as an animation of the battery cell gradually transitioning from the pretreatment state to the welding state; through this process, a first dynamic image showing the change of the battery module morphology from battery cell pretreatment to battery cell and PCM welding can be obtained. This image is very helpful for understanding the assembly process of the battery module and detecting potential problems.

[0066] Therefore, the second dynamic graph is determined according to the shape of the battery module corresponding to the completed process node and the completed assembly event corresponding to the battery module, and the process dynamic graph of the battery module is determined based on the synthesis of the first dynamic graph and the second dynamic graph; the abnormal area corresponding to the abnormality detection of the process dynamic graph of the battery module and the corresponding abnormal process part are determined based on the identification of the abnormal area, which is compatible with the overall consideration of the shape of the battery module corresponding to the completed process node and the completed assembly event corresponding to the battery module, thereby ensuring the accuracy of the second dynamic graph.

[0067] At this time, the completed process node information is used; in addition to considering the morphological changes of the battery module, the specific assembly events occurring at each process node must also be considered; assembly events include the use of materials, the operation of equipment, the adjustment of parameters, etc., which have a direct impact on the morphology and performance of the battery module; based on this information, a second dynamic graph will be generated, which not only shows the morphological changes of the battery module, but also highlights the key assembly events in each process; at this time, the assembly event information occurring at each completed process node is extracted from the assembly history table or related data records; the extracted morphological information and event information are integrated to ensure that they can accurately correspond in the second dynamic graph; graphics processing software, animation tools or custom scripts are used to generate a second dynamic graph based on the integrated information and process sequence; this dynamic graph includes elements such as the display of morphological changes, the annotation of assembly events, and the division of the timeline.

[0068] The first dynamic graph and the second dynamic graph are synthesized to generate a comprehensive battery module process dynamic graph; this process dynamic graph will comprehensively display the morphological changes and key assembly events of the battery module from the starting process to the current process, providing an intuitive and comprehensive basis for subsequent anomaly detection and process analysis; at this time, the first dynamic graph and the second dynamic graph are aligned and fused in terms of timeline, morphological display and event annotation to ensure that they can be seamlessly connected to form a coherent whole; use graphics processing software or animation tools to synthesize the aligned and fused dynamic graph elements to generate the final battery module process dynamic graph.

[0069] The generated dynamic graph of the battery module process will be subjected to anomaly detection; anomaly detection involves aspects such as anomalies in morphological changes, missing or incorrect assembly events, etc.; through detection, the abnormal areas in the dynamic graph are identified, and then the corresponding abnormal process parts are determined; this helps to promptly discover and solve problems in the assembly process, and ensure the quality and performance of the battery module; at this time, anomaly detection is performed on the process dynamic graph; based on the output results of the algorithm, the abnormal areas in the dynamic graph are identified; these areas manifest as abnormal morphological changes, missing or incorrectly labeled assembly events, etc.; based on the identified abnormal areas, combined with the process chain and assembly history table, the corresponding abnormal process parts are determined; this involves further analysis and investigation of the causes of the anomaly.

[0070] Specifically, assume that a battery module is being assembled and the three processes of cell pretreatment, cell and PCM welding, and battery module packaging have been completed; based on the previous steps, a first dynamic image showing morphological changes and a second dynamic image highlighting assembly events have been generated.

[0071] Determine the second dynamic diagram: In the battery cell pretreatment process, in addition to showing the shape of the battery cells arranged on the tray, the second dynamic diagram also marks key events such as battery cell cleaning and inspection; in the battery cell and PCM welding process, the second dynamic diagram will show the welding process and mark events such as welding parameters and welding point inspection; in the battery module packaging process, the second dynamic diagram will show events such as the application of packaging materials, the operation of packaging equipment, and include post-packaging morphology inspection.

[0072] The first dynamic graph and the second dynamic graph are synthesized to generate a comprehensive dynamic graph of the battery module process; this dynamic graph not only shows the morphological changes of the battery cell from pretreatment to packaging, but also marks the key assembly events in each process; at the same time, suppose that during the anomaly detection process, morphological anomalies are found in the dynamic graph of the battery module packaging process, such as uneven application of packaging material or gaps at the edge of the packaging; based on the identified abnormal area, the abnormal process part is determined to be the battery module packaging; further analyze the causes, such as calibration problems of the packaging equipment, quality problems of the packaging materials, etc., and take corresponding corrective measures; through this process, a comprehensive dynamic graph of the battery module process can be generated, and it can be used for anomaly detection and problem location, thereby ensuring the quality and performance of the battery module.

[0073] In some embodiments of the present application, an assembly event matching table is collected, and the assembly event matching table is shown in Table 3: Table 3 Assembly event matching table

[0074] Based on the above assembly event matching table, a corresponding dynamic graph element is generated for each completed process node, including annotations of morphological changes and assembly events.

[0075] Assuming that the two processes of cell pretreatment and cell-to-PCM welding have been completed, the synthesized process dynamic diagram will contain the following elements: the timeline starts from cell pretreatment and ends with cell-to-PCM welding; the first dynamic diagram part shows the morphological changes of the cell from pretreatment to welding; the second dynamic diagram part marks the cell cleaning and inspection events in the cell pretreatment process, and marks the welding parameter setting and welding execution events in the cell-to-PCM welding process.

[0076] In addition, the morphological description score for the cell-to-PCM welding process was low (0.4), below the preset threshold (0.6), and therefore considered an abnormal area. Based on the identified abnormal area, the corresponding abnormal process was determined to be the cell-to-PCM welding process. Recommendations for abnormality handling: Review the cell-to-PCM welding process to confirm whether there are any welding quality issues. If quality issues are indeed present, implement rework, repair, or replacement measures. Improve the assembly process to improve the quality and stability of the cell-to-PCM welding process.

[0077] refer to Figure 6 In step S15, the corresponding abnormal process node is determined based on the identification of the abnormal process part, and the process skip event of the battery module is determined based on the abnormal event of the abnormal process node and the process execution content corresponding to the battery module, so as to trigger the process optimization measures corresponding to the process skip event; In the specific implementation process of the present invention, the specific steps are: S151: Collecting abnormal process parts, determining abnormal assembly content of the battery module based on the assembly content corresponding to the abnormal process part and the assembly image of the battery module corresponding to the abnormal process part, and determining the corresponding abnormal process node based on tracing the abnormal assembly content of the battery module; S152: Based on the identification of the abnormal assembly content, an abnormal event of the abnormal process node is determined. At the same time, based on the tracing back of the abnormal process node, the process execution content corresponding to the battery module is determined. Furthermore, a process skip event of the battery module is determined based on the abnormal event of the abnormal process node and the process execution content corresponding to the battery module. S153: Determine the process jump node of the battery module based on the detection of the process jump event, and determine the omission event of the battery module based on the tracing of the process jump node. Determine the process optimization measures corresponding to the process jump event based on the omission event of the battery module, the corresponding form of the battery module at the abnormal process node and the optimization mapping relationship, and further execute the process optimization measures.

[0078] In an embodiment of the present application, the abnormal process part is collected, the abnormal assembly content of the battery module is determined based on the assembly content corresponding to the abnormal process part and the assembly image of the battery module corresponding to the abnormal process part, and the corresponding abnormal process node is determined based on the tracing of the abnormal assembly content of the battery module, which is compatible with the overall consideration of the assembly content corresponding to the abnormal process part and the assembly image of the battery module corresponding to the abnormal process part, thereby ensuring the accuracy of the abnormal assembly content of the battery module.

[0079] At this point, identify and collect abnormal process parts that occur during the battery module assembly process; this usually involves direct observation of the assembly line, quality inspection of the assembled battery modules, or analyzing data records during the assembly process to discover abnormalities; the abnormal process parts collected should include specific physical components (such as battery cells, PCM boards, etc.) or assembly steps (such as welding, packaging, etc.), as well as the location, status and related information of these components or steps in the assembly process.

[0080] After collecting the abnormal process parts, it is necessary to further analyze the assembly content corresponding to these parts and the assembly images of the battery module to determine the specific abnormal assembly content; this includes identifying abnormal parts, abnormal operations or abnormal parameters, and understanding their impact on the performance or quality of the battery module; at this time, use image processing technology (such as edge detection, morphological processing, etc.) to analyze the assembly image to identify abnormal parts or operations; compare the assembly content of the abnormal process part with the standard assembly content to identify differences and abnormalities.

[0081] After determining the abnormal assembly content of the battery module, it is necessary to trace the process nodes corresponding to these abnormal contents; this usually involves a detailed understanding and recording of the assembly process so that the specific process where the abnormality occurs can be accurately located; the tracing process includes checking the assembly flow chart, operation log, timestamp and other information, as well as communicating with the staff on the assembly line; at this time, analyze the assembly flow chart to understand the input, output and correlation relationship of each process node in order to locate the abnormal process node; query the operation log or data record to obtain the specific time, operator, operation content and other information of the abnormal process node; communicate with the staff on the assembly line to understand their specific operations and problems encountered at the abnormal process node.

[0082] Specifically, suppose that during the battery module assembly process, it was found that the performance test results of a batch of battery modules did not meet the standards, specifically manifested as low battery capacity; by collecting the abnormal process part, it was found that these battery modules had problems in the welding process between the battery cell and the PCM, specifically manifested as weak welding points or cold welding. Through quality inspection, battery modules with substandard performance were discovered, and it was preliminarily determined that the problem was related to the welding of battery cells and PCMs; further observation of the on-site operation of the welding process revealed that the welding equipment parameters were improperly set, and there were obvious poor welding phenomena during the welding process; at the same time, through image analysis, obvious defects such as cracks and lack of fusion were found in the welding points; through data comparison, it was found that the parameter settings of the welding equipment deviated from the standard parameters, which was the cause of the poor welding. Through process analysis, the welding process of battery cells and PCMs was determined to be an abnormal process node; through log query, the specific time, operator and operation content of the welding process were obtained; after communicating with the operator of the welding process, it was confirmed that improper setting of welding equipment parameters was the main cause of poor welding.

[0083] Furthermore, based on the identification of abnormal assembly content, the abnormal event of the abnormal process node is determined. At the same time, the process execution content corresponding to the battery module is determined based on the tracing of the abnormal process node, and the process jump event of the battery module is determined based on the abnormal event of the abnormal process node and the process execution content corresponding to the battery module. This is compatible with the overall consideration of the abnormal event of the abnormal process node and the process execution content corresponding to the battery module, ensuring the accuracy of the process jump event of the battery module.

[0084] At this point, based on the abnormal assembly content that has been identified, further analyze and determine the specific abnormal event corresponding to the abnormal process node; abnormal events usually refer to specific events or behaviors that occur during the assembly process that are inconsistent with standard procedures or expected results; these events lead to problems such as performance degradation, substandard quality, or assembly failure of the battery module; at this point, by analyzing the causal relationship between the abnormal assembly content and the abnormal process node, determine the specific event or behavior that caused the abnormality; compare the data of the abnormal process node with standard data or historical data to identify the characteristics and patterns of the abnormal event.

[0085] After determining the abnormal event of the abnormal process node, it is necessary to trace the process execution content of the battery module corresponding to the node in the entire assembly process; this includes understanding the processes before and after the node, the specific operations of each process, the equipment, materials and process parameters used, etc.; by tracing the process execution content, a more comprehensive understanding of the background and conditions of the abnormal event can be obtained, providing a basis for subsequent analysis and processing; at this time, analyze the assembly flow chart of the battery module to understand the input, output and correlation relationship of each process node; and query the data records related to the abnormal process node.

[0086] After determining the abnormal events of the abnormal process nodes and the process execution content corresponding to the battery module, it is necessary to further analyze whether there are process jump events; process jump events refer to situations in which certain processes are skipped or not executed in the expected order during the assembly process; this situation leads to quality problems or performance degradation of the battery module; at this time, the actual process sequence is compared with the standard process to identify the processes that are skipped or not executed in sequence; the existence and specific time points of process jump events are verified through data records; and the causes of process jump events are analyzed, such as equipment failure, operational errors, process changes, etc.

[0087] Specifically, assume that during the battery module assembly process, it was found that the performance test results of a batch of battery modules did not meet the standards, and through step S151, it was determined that the abnormal process node was the welding process of the battery cell and PCM, and the abnormal event was poor welding; through causal analysis, it was determined that the poor welding was caused by improper setting of welding equipment parameters; data comparison showed that there were significant differences between the actual parameters of the welding equipment and the standard parameters.

[0088] Through process analysis, we understood the position and correlation between the battery cell and PCM welding process in the battery module assembly process; data record query showed that before the welding process, the battery cell underwent pretreatment and cleaning steps; after the welding process, the battery module will be packaged and performance tested; after communicating with the staff on the assembly line, we confirmed the specific operations of the welding process and the equipment and materials used.

[0089] Through comparative analysis, it was found that a sub-step in the battery cell pretreatment step before the welding process was skipped, which resulted in contaminants on the battery cell surface, thus affecting the welding quality; data verification showed that the skipping of this sub-step did occur during the assembly process of an abnormal batch of battery modules; cause analysis showed that the skipping of this sub-step was due to operator negligence and poor process management.

[0090] Therefore, based on the detection of process jump events, the process jump node of the battery module is determined, and the missed event of the battery module is determined according to the tracing of the process jump node. The process optimization measures corresponding to the process jump event are determined according to the missed event of the battery module, the form corresponding to the battery module at the abnormal process node and the optimization mapping relationship, and the process optimization measures are further executed. This is compatible with the overall consideration of the missed event of the battery module, the form corresponding to the battery module at the abnormal process node and the optimization mapping relationship, and the accuracy of the process optimization measures corresponding to the process jump event is ensured. At the same time, the abnormal process part is introduced, which is compatible with the overall consideration of the abnormal event of the abnormal process node and the process execution content corresponding to the battery module, thereby improving the recognition accuracy of the process jump event, achieving the accuracy of the process optimization measures, and further improving the process control effect of the battery module.

[0091] At this point, based on the detected process jump events, the specific process jump nodes in the battery module assembly process are further determined; the process jump node refers to the process position that is skipped or not executed as expected in the assembly process; determining the process jump node is the basis for subsequent analysis of missed events and optimization measures; at this point, the actual assembly process is compared with the standard process to identify the process nodes that are skipped or not executed in sequence; analyze the data records in the assembly process, such as timestamps, operation logs, etc., to verify the existence and specific time points of the process jump nodes; communicate with the staff on the assembly line to confirm the actual situation and reasons for the process jump nodes.

[0092] After determining the process skipping node, it is necessary to further analyze the omission events corresponding to the node; omission events refer to assembly steps or operations that are not executed or incorrectly executed due to process skipping; these omission events lead to quality problems or performance degradation of the battery module; at this time, analyze the specific content and function of the skipped process to determine the specific content and impact of the omission events; perform quality inspections on the completed battery modules to verify the impact of the omission events on the performance of the battery modules; and evaluate the potential risks of omission events to the quality, safety and reliability of the battery modules.

[0093] After determining the missing events of the battery module, it is necessary to determine the corresponding process optimization measures based on these missing events, the corresponding morphology of the battery module at the abnormal process node, and the optimization mapping relationship; the optimization mapping relationship refers to the correspondence between known morphological problems and optimization measures, which helps to quickly find effective ways to solve specific problems; finally, these optimization measures need to be implemented to correct the missing events and improve the assembly process; at this time, query the optimization mapping relationship database to find the optimization measures corresponding to the missing events and abnormal morphology; formulate a specific optimization measure implementation plan based on the actual situation and available resources; perform corresponding operations according to the optimization measure implementation plan, such as adjusting process parameters, replacing equipment, training operators, etc.; perform quality inspection and functional testing on the battery modules after the optimization measures are implemented to verify the optimization effect.

[0094] Specifically, assuming that during the battery module assembly process, it is determined through step S152 that the process jump event is that a sub-step in the battery cell pretreatment step is skipped, resulting in poor welding; determine the process jump node of the battery module: through process comparison and data record analysis, it is determined that the "battery cell surface cleaning" sub-step in the battery cell pretreatment step is skipped as the process jump node; after communicating and confirming with the staff on the assembly line, it is learned that the reason why the sub-step was skipped was due to the operator's negligence and poor process management.

[0095] Identify the omission event of the battery module: Through process analysis, it was determined that the omission event was that the surface of the battery cell was not cleaned, resulting in contaminants on the surface of the battery cell; quality inspection verification showed that uncleaned battery cells are prone to poor welding and cold welding during the welding process; risk assessment showed that this omission event posed a potential risk to the performance and reliability of the battery module.

[0096] After querying the optimization mapping relationship database, it was found that the optimization measure corresponding to the missed events and abnormal forms was "strengthening the monitoring and management of the battery cell pretreatment steps"; the implementation plan for the optimization measures was formulated as follows: adding monitoring equipment for the battery cell pretreatment steps, such as cameras and sensors; strengthening the training and assessment of operators; formulating process management specifications and strictly implementing them; after performing the corresponding operations according to the optimization measures implementation plan, the monitoring and management of the battery cell pretreatment steps were strengthened.

[0097] In some embodiments of the present application, a jump node matching table is collected, and the jump node matching table is shown in Table 4: Table 4 Hop node matching table

[0098] In this example, process 1.1 "Cell Surface Cleaning" is marked as a skip node. Once the process skip node is determined, it is necessary to analyze the omission events caused by it. This usually involves understanding the content and function of the process, as well as the potential impact of the omission event on battery module performance. Omission event: The cell surface is not cleaned. Potential impact: Contaminants on the cell surface lead to poor welding, affecting battery module performance and reliability.

[0099] In some embodiments of the present application, a digital twin model of the production process is established in the MES system to define each process's: unique identifier (such as process ID); execution conditions (such as equipment parameters, material batches, and operating permissions); dependencies between previous and subsequent processes; and mandatory verification rules (such as whether manual skipping is allowed).

[0100] Real-time monitoring of process start and end, automatic collection of process status data through IoT devices (such as RFID readers and PLC controllers); operators manually confirm the start / end of the process through terminal devices (such as industrial tablets) by scanning the process QR code or entering a dynamic verification code; the MES system updates the process status to the central database in real time.

[0101] The dynamic verification and blocking mechanism triggers the following actions when it detects that a process is not completed: a. Early warning: Send an audible and visual alarm to the operation terminal; b. Process blocking: Lock the equipment startup permission for the next process (such as turning off the equipment power and suspending the issuance of work orders); c. Abnormal work order generation: Record the skipped process ID, time, operator and equipment information.

[0102] Manual authorization and traceability management: if a process needs to be skipped (such as emergency handling of equipment failure), it must be approved by multiple levels (team leader → process engineer → system administrator), and the approval records are encrypted and stored in the blockchain; the system automatically generates a traceability report for the skipped process, linking the affected product batches and quality inspection results.

[0103] Adaptive optimization: training machine learning models based on historical data to predict process skipping risks (such as the probability of operator error during a specific time period); and dynamically adjust process verification rules (such as adding double confirmation steps for high-risk processes).

[0104] See also Figure 7 , Figure 7 : is a schematic diagram of the structure of a process control system for a battery module in an embodiment of the present invention; the process control system for a battery module includes: The process chain module 21 is used to determine the process chain of the battery module according to the model of the battery module and the manufacturing process database; A process node module 22 is used to determine multiple process nodes based on the traversal of the process chain of the battery module, and mark corresponding process information in each process node; The assembly history table module 23 is used to determine the corresponding assembly stage at each process node based on the analysis of the process information, and to determine the usage progress of the associated materials based on the assembly stage and the manufacturing process database to update the assembly history table of the battery module; an abnormal process portion module 24 for determining a plurality of completed process nodes based on traversing the assembly history table, determining a process dynamic graph of the battery module based on the plurality of completed process nodes, and determining an abnormal process portion based on abnormality detection of the process dynamic graph of the battery module; The process optimization measures module 25 is used to determine the corresponding abnormal process node based on the identification of the abnormal process part, and determine the process jump event of the battery module based on the abnormal event of the abnormal process node and the process execution content corresponding to the battery module to trigger the process optimization measures corresponding to the process jump event.

[0105] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A process control method for a battery module, characterized in that: include: Determine the process chain of the battery module based on the battery module model and manufacturing process database; Determine multiple process nodes based on the traversal of the process chain of the battery module, and mark corresponding process information in each process node; At each process node, the corresponding assembly stage is determined based on the analysis of the process information. The usage progress of the associated materials is determined based on the assembly stage and the manufacturing process database to update the battery module assembly history table. Determining a plurality of completed process nodes based on traversing the assembly history table, determining a process dynamic graph of the battery module based on the plurality of completed process nodes, and determining an abnormal process portion based on abnormality detection of the process dynamic graph of the battery module; The corresponding abnormal process node is determined based on the identification of the abnormal process part, and the process jump event of the battery module is determined based on the abnormal event of the abnormal process node and the process execution content corresponding to the battery module to trigger the process optimization measures corresponding to the process jump event.

2. The process control method of the battery module according to claim 1, characterized in that: The process chain of determining the battery module according to the battery module model and the manufacturing process database includes: Collect the model of the battery module and determine the theoretical form of the battery module based on the model of the battery module and the battery module database; at the same time, collect the current form of the battery module, the theoretical form of the battery module and the manufacturing process database to determine the assembly content to be completed for the battery module; Determining a plurality of sub-assembly items based on analysis of the assembly content to be completed for the battery module, and determining a plurality of process nodes to be completed based on matching the plurality of sub-assembly items with a manufacturing process database; Mark the assembly contents corresponding to the multiple process nodes to be completed; and determine the process chain of the battery module according to the multiple process nodes to be completed, the corresponding assembly contents, and the current state of the battery module.

3. The process control method of the battery module according to claim 1, characterized in that: The method of determining a plurality of process nodes based on traversing the process chain of the battery module and marking corresponding process information in each process node includes: Collecting a process chain of the battery module, determining multiple assembly process segments based on traversal of the process chain of the battery module, and determining corresponding process nodes based on tracing back the multiple assembly process segments to collect multiple process nodes; Sort multiple process nodes, preview the completed form of the battery module at each process node based on the process content of the multiple process nodes and the current form of the battery module, and mark the assembly steps of each process node; The first information is determined based on the assembly steps of each process node and the current form of the battery module, the second information is determined based on the assembly steps of each process node and the completed form of the battery module at each process node, and the process information corresponding to each process node is determined based on the synthesis of the first information and the second information.

4. The process control method of the battery module according to claim 1, characterized in that: At each process node, the corresponding assembly stage is determined based on the analysis of the process information, and the usage progress of the associated materials is determined based on the assembly stage and the manufacturing process database to update the assembly history table of the battery module, including: Monitor the assembly process of the battery module at each process node in real time, and update the process information of the battery module at the current time in real time. Determine the next assembly task information of the battery module based on the analysis of the process information, and determine the corresponding assembly stage according to the next assembly task information of the battery module and the current form of the battery module.

5. The process control method of the battery module according to claim 4, characterized in that: At each process node, the corresponding assembly stage is determined based on the analysis of the process information, and the usage progress of the associated materials is determined based on the assembly stage and the manufacturing process database to update the assembly history table of the battery module, further comprising: Marking the completed assembly event of the battery module for the assembly stage, and determining the matching relationship between the battery module and the material based on the analysis of the completed assembly event of the battery module; collecting the manufacturing process database, and determining the usage of the corresponding material based on the matching relationship between the battery module and the material and the manufacturing process database; Determine the usage progress of related materials based on the completed assembly events of the battery module, the usage of materials and the assembly progress of the battery module; construct the assembly history table of the battery module based on the usage progress of related materials, the completed assembly events of the battery module and the various forms of the battery module relative to each process node, and dynamically update the assembly history table of the battery module.

6. The process control method of the battery module according to claim 1, characterized in that: The method includes determining a plurality of completed process nodes based on traversing the assembly history table, determining a process dynamic graph of the battery module based on the plurality of completed process nodes, and determining an abnormal process portion based on abnormality detection of the process dynamic graph of the battery module, including: The assembly history table is collected, and the current process node of the battery module is marked based on the traversal of the assembly history table. A plurality of completed process nodes are determined based on the comparison between the current process node of the battery module and the process chain.

7. The process control method of the battery module according to claim 6, characterized in that: The method further includes determining a plurality of completed process nodes based on traversing the assembly history table, determining a process dynamic graph of the battery module based on the plurality of completed process nodes, and determining an abnormal process portion based on abnormality detection of the process dynamic graph of the battery module. Collecting the morphology of the battery modules corresponding to the completed process nodes from among the multiple completed process nodes, and determining a first dynamic graph according to the order of the multiple completed process nodes and the morphology of the battery modules corresponding to the completed process nodes; The second dynamic graph is determined according to the shape of the battery module corresponding to the completed process node and the completed assembly event corresponding to the battery module, and the process dynamic graph of the battery module is determined based on the synthesis of the first dynamic graph and the second dynamic graph; the abnormal area corresponding to the abnormal detection of the process dynamic graph of the battery module is determined, and the corresponding abnormal process part is determined according to the identification of the abnormal area.

8. The process control method of the battery module according to claim 1, characterized in that: The method of determining a corresponding abnormal process node based on the identification of the abnormal process portion, and determining a process skip event of the battery module based on the abnormal event of the abnormal process node and the process execution content corresponding to the battery module to trigger a process optimization measure corresponding to the process skip event includes: Collect the abnormal process part, determine the abnormal assembly content of the battery module according to the assembly content corresponding to the abnormal process part and the assembly image of the battery module corresponding to the abnormal process part, and determine the corresponding abnormal process node based on the tracing of the abnormal assembly content of the battery module.

9. The process control method of the battery module according to claim 8, characterized in that: The method further includes determining a corresponding abnormal process node based on the identification of the abnormal process portion, and determining a process skip event of the battery module based on the abnormal event of the abnormal process node and the process execution content corresponding to the battery module to trigger a process optimization measure corresponding to the process skip event. Based on the identification of abnormal assembly content, the abnormal event of the abnormal process node is determined. At the same time, the process execution content corresponding to the battery module is determined based on the tracing of the abnormal process node. The process skip event of the battery module is determined based on the abnormal event of the abnormal process node and the process execution content corresponding to the battery module; Based on the detection of process jump events, the process jump node of the battery module is determined, and the omission event of the battery module is determined based on the tracing of the process jump node. According to the omission event of the battery module, the corresponding form of the battery module at the abnormal process node and the optimization mapping relationship, the process optimization measures corresponding to the process jump event are determined, and the process optimization measures are further executed.

10. A process control system for a battery module, characterized in that: The process control system of the battery module is applied to the process control method of the battery module according to any one of claims 1 to 9, and the process control system of the battery module includes: The process chain module is used to determine the process chain of the battery module according to the battery module model and manufacturing process database; A process node module is used to determine multiple process nodes based on the traversal of the process chain of the battery module and mark the corresponding process information in each process node; An assembly history table module is used to determine the corresponding assembly stage at each process node based on the analysis of the process information, and to determine the usage progress of the associated materials based on the assembly stage and the manufacturing process database to update the assembly history table of the battery module; An abnormal process part module is used to determine multiple completed process nodes based on the traversal of the assembly history table, determine the process dynamic graph of the battery module based on the multiple completed process nodes, and determine the abnormal process part based on abnormality detection of the process dynamic graph of the battery module; The process optimization measures module is used to determine the corresponding abnormal process node based on the identification of the abnormal process part, and determine the process jump event of the battery module based on the abnormal event of the abnormal process node and the process execution content corresponding to the battery module to trigger the process optimization measures corresponding to the process jump event.

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