Control Method, Device and Storage Medium of Battery Cell Production System

Abstract

The present application discloses a control method, device and storage medium for a battery cell production system, relating to the technical field of automatic production system control. After the battery cell production system receives an indication that the raw material loading is completed, the above method generates an RFID tag update instruction according to the identification label of the raw material, controls the RFID tag reading and writing device to update the RFID tag of the pneumatic capsule, determines the operating parameters of the gas source device based on the type and weight of the raw material, and controls the operation of the gas source device. After that, according to the RFID tag identification result sent by the RFID tag reading and writing device, the transportation path is determined, and a valve control instruction is generated according to the transportation path, and the valve control instruction is sent to the multi-way valve to control the opening of the valve connected to the transportation path, so that the pneumatic capsule moves according to the transportation path. This method enables the battery cell production system to master the raw material status and perform production scheduling in a timely manner, improving production efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of automatic production system control, and particularly to a control method, device, and storage medium for a battery cell production system. Background Art

[0002] Traditional battery cell production systems rely on fixed transportation paths during material transportation, with limited material identification and tracking capabilities. Production systems often operate according to preset processes and sequences, failing to monitor and analyze changes in production requirements in real time, thus being unable to adjust the material transportation path in a timely manner, resulting in insufficient coordination among various links in the production process and affecting overall production efficiency.

[0003] The above content is only used to assist in understanding the technical solution of the present application and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main purpose of the present application is to provide a control method, device, and storage medium for a battery cell production system, aiming to solve the technical problem of how to improve the production efficiency of battery cells.

[0005] To achieve the above object, the present application proposes a control method for a battery cell production system, the method comprising:

[0006] After the battery cell production system receives an indication that raw material loading is complete, generating an RFID tag update instruction based on the identification label of the raw material, and sending the update instruction to an RFID tag reading and writing device to control the RFID tag reading and writing device to update the RFID tag of the pneumatic capsule;

[0007] Determining the operating parameters of the gas source device based on the type and weight of the raw material, and controlling the operation of the gas source device;

[0008] Determining a transportation path according to the RFID tag identification result sent by the RFID tag reading and writing device, and generating a valve control instruction according to the transportation path;

[0009] Sending the valve control instruction to a multi-way valve to control the opening of the valve connected to the transportation path, so that the pneumatic capsule moves according to the transportation path.

[0010] In one embodiment, the step of determining a transportation path according to the RFID tag identification result sent by the RFID tag reading and writing device, and generating a valve control instruction according to the transportation path comprises:

[0011] Determining the target production station of the raw material according to the RFID tag identification result sent by the RFID tag reading and writing device;

[0012] Read the topology diagram of the transfer pipeline, where the nodes of the topology diagram are multi-way valves and the edges of the topology diagram are pipeline segments between the multi-way valves;

[0013] Based on the target production station and the topology diagram of the transfer pipeline, determine the transportation path of the pneumatic capsule;

[0014] Determine the target multi-way valve according to the transportation path and generate the valve control instruction.

[0015] In one embodiment, the step of determining the transportation path of the pneumatic capsule based on the target production station and the topology diagram of the transfer pipeline includes:

[0016] Determine the pressure difference in each pipeline segment according to the pressures at the inlet and outlet of each pipeline segment detected by the pressure sensor;

[0017] Determine the number of pneumatic capsules in each pipeline segment according to the difference in the number of RFID tags detected by the RFID tag reading and writing devices at both ends of the pipeline segment;

[0018] Perform a weighted sum of the number of pneumatic capsules in the pipeline segment and the pressure difference to determine the congestion weight of each pipeline segment;

[0019] Based on the target production station and the congestion weights of each pipeline segment in the transfer pipeline, determine the transportation path from the current multi-way valve to the target production station.

[0020] In one embodiment, the method further includes:

[0021] Determine the valve opening of the air flow regulating valve according to the moving speed of the pneumatic capsule detected by the speed sensor in the transfer pipeline;

[0022] Generate a first control instruction based on the valve opening and send the first control instruction to the air flow regulating valve to control the valve opening of the air flow regulating valve.

[0023] In one embodiment, the method further includes:

[0024] Determine the expected speed range of the pneumatic capsule according to the type and weight of the raw material;

[0025] When the moving speed of the pneumatic capsule is less than the minimum speed threshold, send an open valve control instruction to the air flow regulating valve to control the air flow regulating valve to increase the valve opening until the moving speed of the pneumatic capsule reaches the expected speed range;

[0026] When the moving speed of the pneumatic capsule is greater than the maximum speed threshold, a valve closing control instruction is sent to the air flow regulating valve to control the air flow regulating valve to reduce the valve opening until the moving speed of the pneumatic capsule reaches the expected speed range.

[0027] In one embodiment, when the pneumatic capsule is at the inlet pipe section of the transmission pipe, the method further includes:

[0028] Based on the length of the inlet pipe section and the weight of the raw material, determine the valve opening speed of the air flow regulating valve;

[0029] Generate a second control instruction based on the valve opening speed and the valve opening, and send the second control instruction to the air flow regulating valve to control the air flow regulating valve to open the valve to the valve opening at the valve opening speed.

[0030] In one embodiment, before the step of, after the battery cell production system receives the raw material loading completion indication, generating an RFID tag update instruction according to the identification label of the raw material and sending the update instruction to the RFID tag reading and writing device to control the RFID tag reading and writing device to update the RFID tag of the pneumatic capsule, further includes:

[0031] According to the type of the raw material corresponding to the production order, determine the corresponding automatic guided vehicle, and send a transportation instruction to the automatic guided vehicle, where the transportation instruction includes a designated storage location;

[0032] According to the identification label scanning result sent by the scanning device, determine the type of the raw material corresponding to the identification label;

[0033] If the identification label is consistent with the type of the raw material corresponding to the production order, control the robotic arm to clamp the raw material package at the designated storage location to the automatic guided vehicle, and control the automatic guided vehicle to travel to the loading station according to the planned path to perform unpacking and loading.

[0034] In one embodiment, the step of controlling the automatic guided vehicle to travel to the loading station according to the planned path includes:

[0035] When the planned paths of at least two automatic guided vehicles overlap at any node or path segment, based on the remaining path length, load weight, and power status of the automatic guided vehicle, determine the driving priority of the automatic guided vehicle;

[0036] Generate a driving instruction for the automatic guided vehicle based on the driving priority, send the driving instruction to the automatic guided vehicle, and control the automatic guided vehicle to drive, where the automatic guided vehicle with a lower priority is controlled to stop and wait at the overlapping node or path segment until the automatic guided vehicle with a higher priority passes through the node or path segment.

[0037] In addition, to achieve the above object, the present application also provides a control device for a battery cell production system, the device including: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the control method for the battery cell production system as described above.

[0038] In addition, to achieve the above object, the present application also provides a storage medium, the storage medium being a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the control method for the battery cell production system as described above are implemented.

[0039] The present application provides a control method for a battery cell production system. After the battery cell production system receives an indication that the raw material loading is completed, an RFID tag update instruction is generated according to the identification label of the raw material, and the update instruction is sent to an RFID tag reading and writing device to control the RFID tag reading and writing device to update the RFID tag of the pneumatic capsule. The operating parameters of the gas source device are determined based on the type and weight of the raw material, and the gas source device is controlled to operate. According to the RFID tag identification result sent by the RFID tag reading and writing device, the transportation path is determined, and a valve control instruction is generated according to the transportation path and sent to a multi-way valve to control the valve connected to the transportation path to open, so that the pneumatic capsule moves according to the transportation path. The above method enables the battery cell production system to update the raw material information in real time through the RFID tag, accurately master the raw material status, timely perform production scheduling and resource allocation, and improve production efficiency. Description of the Drawings

[0040] The drawings here are incorporated into the specification and form a part of this specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0041] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0042] Figure 1 It is a schematic flowchart provided for Embodiment 1 of the control method for the battery cell production system of the present application;

[0043] Figure 2 It is a schematic flowchart provided for Embodiment 2 of the control method for the battery cell production system of the present application;

[0044] Figure 3 It is a schematic flowchart provided for Embodiment 3 of the control method for the battery cell production system of the present application;

[0045] Figure 4 This is a schematic diagram of the device structure of the hardware operating environment involved in the control method of the battery cell production system in the embodiments of the present application.

[0046] The realization of the purpose, functional characteristics and advantages of the present application will be further described in combination with the embodiments with reference to the accompanying drawings. Specific embodiments

[0047] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0048] In order to better understand the technical solutions of the present application, the following will be described in detail in combination with the drawings in the specification and specific embodiments.

[0049] Traditional battery cell production systems rely on fixed transportation paths during the material transportation process, have limited ability to identify and track materials, and the production system often operates according to preset processes and sequences, failing to monitor and analyze changes in production requirements in real time, thus being unable to adjust the material transportation path in a timely manner, resulting in insufficient coordination among various links in the production process and affecting the overall production efficiency.

[0050] In view of the above problems, the present application proposes a control method for a battery cell production system. After the battery cell production system receives an indication that the raw material loading is completed, an RFID tag update instruction is generated according to the identification label of the raw material, and the update instruction is sent to the RFID tag reading and writing device to control the RFID tag reading and writing device to update the RFID tag of the pneumatic capsule. The operating parameters of the gas source device are determined based on the type and weight of the raw material, and the gas source device is controlled to operate. According to the RFID tag identification result sent by the RFID tag reading and writing device, the transportation path is determined, and a valve control instruction is generated according to the transportation path and sent to the multi-way valve to control the valve connected to the transportation path to open, so that the pneumatic capsule moves according to the transportation path. The above method enables the battery cell production system to update the raw material information in real time through the RFID tag, accurately grasp the raw material status, perform production scheduling and resource allocation in a timely manner, and improve the production efficiency.

[0051] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, etc., or an electronic device capable of realizing the above functions. The following takes the battery cell production system as an example to illustrate this embodiment and the following embodiments.

[0052] Based on this, the first embodiment proposed by the present application provides a control method for a battery cell production system, referring to Figure 1 , in this embodiment, the control method of the battery cell production system includes steps S10 to S40:

[0053] Step S10: After the cell production system receives the indication that the raw material loading is completed, generate an RFID tag update instruction according to the identification label of the raw material, and send the update instruction to the RFID tag reading and writing device to control the RFID tag reading and writing device to update the RFID tag of the pneumatic capsule.

[0054] It should be noted that after the raw material is loaded into the pneumatic capsule, the robotic arm transporting the raw material or the preset visual recognition system at the raw material loading station will send the instruction of raw material loading completion to the cell production system. After the cell production system receives the indication of raw material loading completion, it will obtain the identification label of the raw material. The identification label can be preset and recorded when the raw material is warehoused or enters the production line, including information such as the type, batch, and supplier of the raw material. The pneumatic capsule is a hollow sealed container with a rewritable RFID (Radio Frequency Identification) tag built-in, which is used to store the information of the raw material loaded in the pneumatic capsule. Before the raw material is loaded into the pneumatic capsule, each raw material is assigned a unique identification label, which can be printed or pasted on the raw material package or container.

[0055] Optionally, if the raw material is in powder or liquid form, the cell production system can control the robotic arm to clamp the container for loading the raw material, and identify and read the identification label on the container through the identification device on the robotic arm, such as a barcode scanner, an RFID tag reading and writing device, or other preset visual recognition systems, and send the identification label to the cell production system, so that the cell production system can read the information of the raw material loaded in the pneumatic capsule. Then, the cell production system controls the robotic arm to pour the raw material in the container into the funnel or the material guiding groove, and uses the negative pressure or positive pressure generated by the fan to suck the raw material into the pneumatic capsule. At the same time, an RFID tag reading and writing device is installed in the area of the raw material loading station. After the identification device on the robotic arm reads the identification label of the raw material, it uploads the raw material information to the cell production system. The cell production system generates an RFID tag update instruction according to the identification label of the raw material, and sends the RFID tag update instruction to the RFID tag reading and writing device to control the RFID tag reading and writing device in the area of the raw material loading station to update the raw material information to the RFID tag of the pneumatic capsule. In some application scenarios, it is also possible to control the robotic arm to clamp the container for loading the raw material and load it into the pneumatic capsule.

[0056] Optionally, if the raw materials are in the form of blocks, flakes or tubes, etc., the robotic arm can be controlled to cooperate with the fixture or suction cup to grasp the raw materials. Among them, the fixture and suction cup are determined according to the shape, size and weight of the raw materials. For example, for small raw materials with regular shapes, pneumatic grippers can be used; for raw materials with smooth surfaces, vacuum suction cups can be used. After grasping or adsorbing the raw materials, the raw materials are accurately loaded into the pneumatic capsule through a preset vision recognition system. After the loading is completed, the cell production system sends the received raw material information to the control port of the RFID tag reading and writing device, and uses the RFID tag reading and writing device to update this raw material information to the RFID tag of the pneumatic capsule.

[0057] Optionally, when controlling the RFID tag reading and writing device to update the raw material information read and recognized to the RFID tag in the pneumatic capsule, control the RFID tag reading and writing device to send a deletion instruction to the RFID tag to clear the original data in the RFID tag of the pneumatic capsule, and then write the raw material information read during the loading process into the RFID tag.

[0058] Step S20, determine the operating parameters of the gas source device based on the type and weight of the raw materials, and control the operation of the gas source device.

[0059] After the raw materials are loaded into the pneumatic capsule, the weight of the raw materials in the pneumatic capsule can be obtained through the micro-sensor in the pneumatic capsule and then sent to the cell production system; or during the loading process, the weight of the raw materials loaded each time is fixedly set and sent to the cell production system. The cell production system determines the operating parameters of the gas source device, such as air pressure, flow rate and operating power, according to the type and weight of the raw materials in the pneumatic capsule. Among them, the gas source device refers to a device that can generate compressed air or air flow and is delivered to the pneumatic system through pipelines, including air compressors, vacuum pumps, air pumps, fans, etc. The specific selection depends on the type and requirements of the pneumatic system.

[0060] Optionally, a compressed air device and a solenoid valve are installed at the inlet of the transmission pipeline at the raw material loading station to achieve positive pressure conveying. For example, compressed air is generated by the compressed air device, and the solenoid valve is opened to allow the compressed air to enter the transmission pipeline through the air flow amplifier. The pneumatic capsule is pushed by the air flow and enters the transmission pipeline from the loading station and is transported to the target production station.

[0061] Optionally, a vacuum generator, a suction pipeline and other devices are installed at the inlet of the transmission pipeline at the raw material loading station. One end of the suction pipeline is connected to the vacuum generator, and the other end is connected to the end of the pipeline inlet to achieve negative pressure conveying. For example, first start the vacuum generator to form a vacuum, and use the effect of the vacuum to suck the raw materials from the end of the pipeline inlet into the transmission pipeline and transport them in the transmission pipeline.

[0062] It should be noted that due to the different physical states and chemical properties of raw materials, the requirements for transport airflow will also be different. For example, powdered raw materials such as positive and negative electrode materials are easy to flow, but may leak due to excessive air pressure; while blocky raw materials such as metal blocks may require higher air pressure to push, otherwise it will cause blockage. By controlling the air pressure according to the type and weight of the raw materials, it can be ensured that the entire transportation process is carried out within a safe pressure range, ensuring the safe transportation of raw materials in the transmission pipeline and reducing the risk of bursting pipes or pneumatic capsule ruptures.

[0063] Optionally, in the parameter table pre-set in the battery cell production system, the corresponding air source equipment operating parameters are found according to the type and weight range of the raw materials. The parameter table includes parameters such as air flow pressure, flow rate, power and speed of the air source equipment corresponding to raw materials of different types and weight ranges. The found operating parameters are sent to the air source equipment, and a start instruction is sent to the air source equipment to start operating according to the set operating parameters to generate the airflow required to push the pneumatic capsule. This method does not require complex calculations and has a fast response speed.

[0064] Optionally, a machine learning model is established in the battery cell production system according to the type and weight of the raw materials, and the operating parameters of the gas source equipment are predicted according to the type and weight of the raw materials. First, a large amount of historical data accumulated in the past production process is extracted from the database in the battery cell production system, including different raw material types, weights and corresponding gas source equipment operating parameters such as airflow pressure, flow rate, equipment power, etc. The collected data is cleaned to remove outliers, missing values ​​and duplicate data. Then, a suitable machine learning algorithm such as a neural network, a support vector machine, a decision tree, etc. is selected to establish a machine learning model, and the sorted data set is divided into a training set and a test set according to a preset ratio. The selected machine learning model is trained using the training set. During the training process, the raw material type and weight are used as input features, and the operating parameters of the gas source equipment are used as output labels. The parameters of the model are adjusted by an optimization algorithm such as gradient descent, so that the machine learning model can learn the mapping relationship between the input features and the output parameters. The trained model is evaluated using the test set, the prediction error of the model is calculated, and the model is optimized and adjusted according to the prediction error. For example, the number of hidden layer neurons and the learning rate of the neural network are adjusted until the prediction error of the model reaches the minimum value. In the actual production process, when the battery cell production system receives the type and weight of the raw materials loaded into the pneumatic capsule, the type and weight are input into the trained machine learning model, and the machine learning model outputs the corresponding predicted values ​​of the air source equipment operating parameters, such as airflow pressure, flow, equipment power, etc. The predicted operating parameters are sent to the air source equipment, which is controlled to operate according to the predicted parameters to generate the airflow required to propel the pneumatic capsule.

[0065] Optionally, a control formula for determining the operating parameters of the gas source device is determined according to the type of raw material. The control formula is used to determine the operating parameters according to the weight or other parameters of the raw material. For example, for metal raw materials, the control formula can be that the air flow pressure P = a×W + b, and the flow rate Q = c×W + d, where W is the weight of the raw material, and a, b, c, d, etc. are coefficients determined according to experimental data or experience.

[0066] Step S30: Determine the transportation path according to the RFID tag identification result sent by the RFID tag reading and writing device, and generate a valve control instruction according to the transportation path.

[0067] Step S40: Send the valve control instruction to the multi-way valve to control the opening of the valve connected to the transportation path, so that the pneumatic capsule moves along the transportation path.

[0068] After the RFID tag reading and writing device in the transmission pipeline identifies the RFID tag of the pneumatic capsule, it will send the RFID tag identification result to the battery cell production system.

[0069] Optionally, if the transportation path is already preset in the RFID tag of the pneumatic capsule, the forward pipeline of the pneumatic capsule is determined according to the transportation path. The transportation path can be stored in the form of a series of branch pipeline numbers or direction codes. Specifically, when the battery cell production system can determine the forward pipeline according to the pipeline number in the transportation path, and at the same time, control the opening of the valve connected to the forward pipeline in the multi-way valve, so that the pneumatic capsule enters the forward pipeline.

[0070] Optionally, if there is no preset transportation path in the RFID tag of the pneumatic capsule, the target production station of the raw material is determined according to the RFID tag identification result sent by the RFID tag reading and writing device; the topology map of the transmission pipeline is read, where the nodes of the topology map are multi-way valves, and the edges of the topology map are the pipeline segments between the multi-way valves; based on the target production station and the topology map of the transmission pipeline, the transportation path of the pneumatic capsule is determined; the target multi-way valve is determined according to the transportation path, and a valve control instruction is generated.

[0071] Exemplarily, when the RFID tag reading and writing device at the branch pipeline detects the RFID tag signal of the pneumatic capsule, an identification operation is triggered, and the RFID tag identification result is sent to the battery cell production system. The battery cell production system reads the target production station of the raw material from the RFID tag identification result and reads the topology map of the transmission pipeline from the database. The topology map includes multi-way valve node information and pipeline segment information, such as multi-way valve numbers, pipeline segment numbers, pipeline segment lengths, etc. The nodes of the topology map are multi-way valves, and the edges of the topology map are the pipeline segments between the multi-way valves.

[0072] After determining the target production station of the raw materials and obtaining the topological diagram of the transfer pipeline, determine the position coordinates of the target production station in the transfer pipeline or the corresponding multi-way valve node. In the topological diagram, determine the multi-way valve node corresponding to the branch pipeline where the pneumatic capsule is currently located as the starting node, and the multi-way valve node corresponding to the target production station as the target node. Find a feasible path as the transportation path through the graph traversal algorithm, and determine the target multi-way valve in the transportation path based on the transportation path and the topological diagram, and generate a valve control instruction, where the valve control instruction is used to control the valve of the target multi-way valve.

[0073] Exemplarily, when determining the transportation path, create a visited queue. According to the topological diagram of the transfer pipeline, determine the multi-way valve corresponding to the starting pipeline segment as the starting node, and the multi-way valve corresponding to the pipeline segment at the target production station end as the target node. Add the starting node to the visited queue and mark it as visited. Take out a node from the unvisited queue and check all its neighbor nodes. For each neighbor node, if it has not been visited, record its predecessor node as the current node, mark it as visited, and then add it to the visited queue. Continuously perform the process of node dequeueing and neighbor checking until the target node is taken out from the unvisited queue to obtain multiple initial transportation paths. Then, for each initial transportation path, determine optimization metrics such as the total path length or the number of pipeline segments, and determine the final transportation path according to the optimization metrics.

[0074] Optionally, the steps of determining the transportation path of the pneumatic capsule based on the target production station and the topological diagram of the transfer pipeline include: determining the pressure difference in each pipeline segment according to the pressures at the inlet and outlet of each pipeline segment detected by the pressure sensor; determining the number of pneumatic capsules in each pipeline segment according to the difference in the number of RFID tags detected by the RFID tag reading and writing devices at both ends of the pipeline segment; performing a weighted sum of the number of pneumatic capsules and the pressure difference in the pipeline segment to determine the congestion weight of each pipeline segment; and determining the transportation path from the current multi-way valve to the target production station based on the target production station and the congestion weights of each pipeline segment in the transfer pipeline.

[0075] It should be noted that when the pneumatic capsule is transported in the transfer pipeline, its movement depends on the push of the air flow. When the air flow flows in the transfer pipeline, it will be subject to various resistances, including the frictional resistance of the pipeline wall and the resistance of the pneumatic capsule. According to the principle of fluid mechanics, when the air flow passes through a pipeline segment, the pressure difference between the inlet and the outlet is proportional to the resistance suffered by the air flow. Under normal circumstances, the air flow can smoothly push the pneumatic capsule forward, and the pressure difference in the pipeline segment is relatively stable. When the transportation is congested, the flow of the air flow is blocked and the resistance increases. In order to maintain the flow of the air flow, a larger pressure difference is required to overcome the resistance. Therefore, the change in the pressure difference can reflect the change in the air flow resistance, and indirectly reflect whether the transportation of the pneumatic capsule is congested.

[0076] Pressure sensors are installed at the inlets and outlets of each pipeline section of the transmission pipeline. The cell production system calculates the pressure difference of each pipeline section based on the pressures at the inlets and outlets of each pipeline section detected by the pressure sensors. RFID tag reading and writing devices installed at the inlets and outlets of each pipeline section read the RFID tag information of the passing pneumatic capsules in real time. The RFID tag reading and writing devices will record the unique identifier of each tag and count the number of tags passing through. For each pipeline section, the cell production system obtains the number of RFID tags read by the RFID tag reading and writing devices at its inlet and outlet within the same time period, and determines the current number of pneumatic capsules in this pipeline section by calculating the difference between the inlet number and the outlet number. For example, if N tags are read at the inlet and M tags are read at the outlet, the number of pneumatic capsules in the pipeline section is N - M. At the same time, the calculation result is associated and stored with the pipeline section number. According to the actual application scenarios and experience, weight coefficients of the number of pneumatic capsules and the pressure difference in the congestion weight calculation are set. For each pipeline section, the number of pneumatic capsules and the pressure difference inside it are obtained, and weighted summation is performed according to the set weight coefficients. The calculated congestion weight value is stored corresponding to the pipeline section number. As time goes by and the situation inside the pipeline changes, the above calculation process is repeated regularly to update the congestion weights of each pipeline section to reflect the current congestion status.

[0077] After that, the target production station of the pneumatic capsule is obtained, and its position in the transmission pipeline network, that is, the corresponding target multi-way valve node, is determined. The congestion weights of each pipeline section calculated previously are used as the weight values of the edges. The larger the weight value, the higher the congestion degree of the pipeline section. Through path planning algorithms such as the Dijkstra algorithm and the A* algorithm, according to the weight values of the edges, the path with the smallest congestion weight is selected as the transportation path.

[0078] In this embodiment, the cell production system updates the RFID tag of the pneumatic capsule by using RFID technology after raw material loading to achieve accurate identification and real-time tracking of materials; at the same time, the operating parameters of the gas source equipment are determined according to the raw material characteristics to ensure the optimal operation of the gas source equipment. At the branch pipelines, the material transportation route is dynamically adjusted according to the transportation path to achieve real-time optimization control of the transportation process, effectively improving the flexibility, adaptability and efficiency of the cell production system in controlling the transportation of pneumatic capsules, reducing the congestion risk during the transportation process, ensuring that the raw materials can reach the target production station in a timely and accurate manner, and improving the cell production efficiency.

[0079] Based on the above embodiments of the present application, in the second embodiment of the present application, the same or similar content as the above embodiments can be referred to the above introduction and will not be repeated hereinafter. On this basis, referring to Figure 2 ,the control method of the cell production system further includes steps S50~S60:

[0080] Step S50: Determine the valve opening of the air flow regulating valve according to the moving speed of the pneumatic capsule detected by the speed sensor inside the transmission pipeline.

[0081] Step S60: Generate a first control instruction based on the valve opening, and send the first control instruction to the air flow regulating valve to control the valve opening of the air flow regulating valve.

[0082] Optionally, install a sensor that can directly measure the moving speed inside the transmission pipeline to collect the moving speed data of the pneumatic capsule in real time and upload the collected moving speed data to the battery cell production system. It is also possible to install high-speed cameras at the inlet and outlet of the pipeline section to collect images of the pneumatic capsule passing through the pipeline section in real time and upload the collected images to the battery cell production system. The battery cell production system extracts the position information of the pneumatic capsule from the images through image processing algorithms such as edge detection and object recognition, and calculates its moving speed based on the position change and time difference of the pneumatic capsule at the inlet and outlet.

[0083] Optionally, establish a mapping relationship between the moving speed of the pneumatic capsule and the opening of the air flow regulating valve. For example, a series of different valve openings can be preset in advance. When the moving speed data of the pneumatic capsule is determined, the corresponding valve opening is determined according to this mapping relationship.

[0084] Optionally, use a proportional-integral-derivative controller to achieve dynamic adjustment of the speed and valve opening. Specifically, set the target speed of the pneumatic capsule, and adjust the valve opening proportionally according to the difference between the current speed and the target speed. For example, if the current speed is lower than the target speed, appropriately increase the valve opening to increase the air flow, thereby increasing the moving speed of the pneumatic capsule.

[0085] Optionally, determine the expected speed range of the pneumatic capsule according to the type and weight of the raw material; when the moving speed of the pneumatic capsule is less than the minimum speed threshold, send an open valve control instruction to the air flow regulating valve to control the air flow regulating valve to increase the valve opening until the moving speed of the pneumatic capsule reaches the expected speed range; when the moving speed of the pneumatic capsule is greater than the maximum speed threshold, send a closed valve control instruction to the air flow regulating valve to control the air flow regulating valve to decrease the valve opening until the moving speed of the pneumatic capsule reaches the expected speed range.

[0086] Exemplarily, first, according to the actual application scenario and experience, set different expected speed ranges for different types and weights of raw materials and set a valve opening value for each speed range. The battery cell production system first generates a first control instruction according to the set valve opening value, sends the first control instruction to the air flow regulating valve, and controls the air flow regulating valve to open to the set valve opening value. Then, based on the simulated annealing algorithm, the valve opening of the air flow regulating valve is adjusted in real time according to the real-time moving speed of the pneumatic capsule in the pipeline section.

[0087] For example, according to the moving speed of the pneumatic capsule within the pipeline section, an initial valve opening value is randomly generated. Based on the current valve opening value, the difference between the current moving speed and the target moving speed of the pneumatic capsule after air flow adjustment is calculated as the cost function value. The cost function can be defined as: Cost = |Current moving speed - Target moving speed|, where the target moving speed is within the expected speed range. Based on the initial valve opening, a new valve opening value is randomly generated. According to the new valve opening value, a new cost function value is calculated. According to the acceptance criterion and cooling strategy of the simulated annealing algorithm, it is decided whether to accept the new valve opening value. Among them, the acceptance probability is related to the cost function value, the temperature parameter in the cooling strategy. If a new valve opening value is received, the temperature parameter is updated according to the cooling strategy. The process of generating a new valve opening, calculating a new cost function, acceptance criterion, and temperature update is repeated until a certain number of iterations are met or the temperature drops to a preset value. The valve opening with the lowest cost function value among all the generated valve opening values is selected as the optimal valve opening. The obtained optimal valve opening is sent to the air flow regulating valve, and a control command is sent to the air flow regulating valve to adjust the valve of the air flow regulating valve to the optimal valve opening to optimize the air flow.

[0088] Optionally, when the pneumatic capsule is at the inlet pipeline section of the transmission pipeline, based on the length of the inlet pipeline section and the weight of the raw material, the valve opening speed of the air flow regulating valve is determined; based on the valve opening speed and the valve opening, a second control command is generated, and the second control command is sent to the air flow regulating valve to control the air flow regulating valve to open the valve to the valve opening according to the valve opening speed.

[0089] It should be noted that the pneumatic capsule requires an appropriate initial thrust at the inlet pipeline section to overcome static friction and starting inertia. If the valve opening speed is too fast, the air flow thrust suddenly increases, which may cause the pneumatic capsule to accelerate too fast instantaneously, generating a large impact force and damaging the raw material inside the pneumatic capsule. If the valve opening speed is too slow, the pneumatic capsule may have difficulty starting or even cannot smoothly enter the transmission pipeline. Therefore, when the pneumatic capsule is at the inlet pipeline section of the transmission pipeline, the valve opening speed of the air flow regulating valve can be controlled based on the length of the inlet pipeline section and the weight of the raw material.

[0090] Exemplarily, first obtain the length L of the inlet pipe section of the transfer pipeline and the weight m of the raw material in the pneumatic capsule, construct a reinforcement learning model, set parameters such as the learning rate and discount factor, and initialize the value function. According to the state information such as the current pipe section length L, the weight m of the raw material, the current opening of the valve, and the moving speed of the pneumatic capsule, select an action, that is, increase the opening speed of the air flow regulating valve or decrease the opening speed of the air flow regulating valve. Send a control signal to the air flow regulating valve according to the selected action to adjust its opening. Then, calculate the reward value according to the new valve opening and the moving speed of the pneumatic capsule. For example, if the pneumatic capsule accelerates smoothly and quickly reaches the expected speed, a higher reward is given; conversely, if the acceleration is too fast or too slow, a lower reward is given. When the calculated reward value exceeds the preset threshold, execute the selected action.

[0091] Optionally, when calculating the reward value, a reward function can be defined based on three factors: the speed deviation between the current moving speed and the target moving speed of the pneumatic capsule, the speed change rate, and the time required for the pneumatic capsule to reach the target moving speed. Among them, the smaller the deviation between the current moving speed and the target moving speed of the pneumatic capsule and the time required to reach the target moving speed, and the closer the speed change rate is to the expected acceleration, the higher the reward value. For example:

[0092]

[0093] where R is the reward value, w1, w2, w3 are weight coefficients, is the maximum attainment time preset for reaching the target moving speed. When the reward value R exceeds the preset high reward threshold, it indicates that the acceleration process of the pneumatic capsule is very ideal, and the current selected action of adjusting the valve opening can be executed. When the reward value R is lower than the preset low reward threshold Rlow, it indicates that the acceleration process of the pneumatic capsule is not ideal, and the valve opening needs to be further adjusted.

[0094] In this embodiment, by installing a speed measurement sensor in the transfer pipeline or using a high-speed camera combined with an image processing algorithm to obtain the moving speed of the pneumatic capsule and sending it to the battery cell production system, the battery cell production system adjusts the valve opening of the air flow regulating valve in real time according to the expected speed range determined by the raw material type and weight, so that the moving speed of the pneumatic capsule is kept within the expected range. At the same time, when the pneumatic capsule enters the inlet pipe section of the transfer pipeline, the battery cell production system controls the opening speed of the air flow regulating valve through a reinforcement learning model according to the length of the inlet pipe section and the raw material weight, ensuring that the pneumatic capsule starts smoothly and quickly. The above method effectively ensures the stable transportation of the pneumatic capsule in the pipeline, reduces the risk of raw material damage caused by abnormal speed, and thus improves the battery cell production efficiency.

[0095] Based on the above embodiments of the present application, in the third embodiment of the present application, for the same or similar content as the above embodiments, reference can be made to the above introduction and will not be repeated hereinafter. On this basis, referring to Figure 3 , before step S10, the control method of the battery cell production system further includes steps S70 to S90:

[0096] Step S70, determine the corresponding automatic guided vehicle according to the type of raw materials corresponding to the production order, and send a transportation instruction to the automatic guided vehicle, where the transportation instruction includes a designated storage location.

[0097] In the production planning stage, the battery cell production system can automatically generate a production order according to the inventory situation and production requirements. The production order at least includes the type of raw materials required, the designated storage location of the raw materials, and the target production station of the raw materials.

[0098] Optionally, according to the type of raw materials recorded in the production order, search for a matching automatic guided vehicle in a preset correspondence table between raw material types and automatic guided vehicles. For example, if the production order requires "metal raw materials", then search for the number of the designated automatic guided vehicle in the correspondence table, and send a transportation instruction to the automatic guided vehicle to control the automatic guided vehicle to move to the designated storage location where the raw materials are located according to the planned path.

[0099] Step S80, determine the type of raw materials corresponding to the identification mark according to the identification mark scanning result sent by the scanning device.

[0100] Exemplarily, various types of scanners are installed on the automatic guided vehicle, such as two-dimensional code scanners, RFID tag reading and writing devices, cameras, etc. Select a suitable scanner according to the type of identification mark on the designated storage location. For example, if a two-dimensional code identification is used on the storage location, then start the two-dimensional code scanner. The scanner is aligned with the identification mark on the storage location for scanning, and the collected identification mark data is transmitted to the battery cell production system, and the battery cell production system analyzes the identification mark data. For example, the two-dimensional code image extracts the type of raw materials therein through a decoding algorithm, and the RFID tag data extracts the type of raw materials through a specific reading protocol. Then, the battery cell production system compares the parsed raw material type information with the raw material type in the production order. If the two are consistent, the verification passes, and the battery cell production system sends an instruction to the robotic arm for subsequent operations. If the two are inconsistent, the verification fails, and the battery cell production system is controlled to issue an alarm to notify the operator for manual intervention.

[0101] Step S90, if the identification mark is consistent with the type of raw materials corresponding to the production order, control the robotic arm to clamp the raw material package on the designated storage location to the automatic guided vehicle, and control the automatic guided vehicle to travel to the loading station according to the planned path to perform unpacking and loading.

[0102] Exemplarily, if the battery cell production system confirms that the identification label is consistent with the raw material type corresponding to the production order, it starts the robotic arm and controls the robotic arm to move to the specified storage location. The vision system on the robotic arm locates the raw material package to ensure that the fixture can accurately align with the raw material package. According to the size and shape of the raw material package, the opening degree and angle of the fixture are adjusted. Then, the fixture is used to clamp and lift the raw material package to a certain height, and the clamped raw material package is placed on the loading platform of the automated guided vehicle. The automated guided vehicle automatically plans a path to the loading station according to the production line layout and autonomously navigates to the loading station along the planned path.

[0103] Optionally, when the planned paths of at least two automated guided vehicles overlap at any node or path segment, based on the remaining path length, load weight, and power status of the automated guided vehicle, the driving priority of the automated guided vehicle is determined; based on the driving priority, a driving instruction for the automated guided vehicle is generated, the driving instruction is sent to the automated guided vehicle, and the automated guided vehicle is controlled to drive. Among them, the automated guided vehicle with a lower priority is controlled to stop and wait at the overlapping node or path segment until the automated guided vehicle with a higher priority passes through the node or path segment.

[0104] Exemplarily, after each automated guided vehicle is equipped with the raw material package, a planned path from the current storage location to the loading station is generated through a selected algorithm. The battery cell production system collects the path planning results of all automated guided vehicles, decomposes the path of each automated guided vehicle into a series of nodes and path segments. The nodes are identified by numbers, and the path segments are represented by ordered pairs of node numbers. Then, all the path segments of the automated guided vehicles are compared pairwise to check whether there are the same path segments or the same nodes. When path overlap is detected, the overlapping nodes or path segments, and the corresponding automated guided vehicles at the overlapping nodes or path segments are recorded. Then, at the overlapping nodes or path segments, the length of the remaining path, the load weight of the automated guided vehicle, and the power status are obtained from the path planning results of the corresponding automated guided vehicle. Weight coefficients are set for the remaining path length, load weight, and power status respectively, and the values of these three factors are added according to the weights to calculate the comprehensive priority score of each automated guided vehicle. The automated guided vehicles are sorted according to the comprehensive priority score to determine their driving priorities. If the automated guided vehicles meet at the overlapping nodes or path segments during driving, the automated guided vehicle with a higher priority is controlled to drive first according to the driving priority of the automated guided vehicle.

[0105] In this embodiment, the battery cell production system determines the corresponding automatic guided vehicle according to the type of raw materials in the production order, and controls it to move to the storage location where the raw materials are located; by receiving the identification identifier scanned, recognized and sent by the scanner, it verifies whether the type of raw materials is consistent with the production order; if they are consistent, it controls the robotic arm to clamp the raw material package onto the automatic guided vehicle, and travels to the loading station according to the planned path to perform unpacking and loading. When the paths of multiple automatic guided vehicles overlap, the driving priority is determined based on the remaining path length, load weight and power status, and the automatic guided vehicles are controlled to pass through the overlapping nodes or path segments in sequence, realizing the automation and intelligence of the raw material transportation process, improving the production efficiency and logistics efficiency, and enhancing the reliability and flexibility of the entire production line.

[0106] It should be noted that the above examples are only for understanding the present application and do not constitute a limitation on the control method of the battery cell production system of the present application. Based on this technical concept, more forms of simple transformations are within the protection scope of the present application.

[0107] The present application provides a control device for a battery cell production system. The control device for the battery cell production system includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the control method of the battery cell production system in the first embodiment above.

[0108] Reference is made below to Figure 4 , which shows a schematic structural diagram of a control device for a battery cell production system suitable for implementing the embodiments of the present application. The control device for the battery cell production system in the embodiments of the present application may include, but is not limited to, mobile terminals such as laptop computers, PADs (Portable Application Description, tablet computers), and fixed terminals such as desktop computers. Figure 4 The control device for the battery cell production system shown is only an example and should not bring any limitation to the functions and usage scope of the embodiments of the present application.

[0109] As Figure 4As shown, the control device of the battery cell production system may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 1002 or the program loaded from the storage device 1003 into the random access memory (RAM) 1004. In the random access memory 1004, various programs and data required for the operation of the control device of the battery cell production system are also stored. The processing device 1001, the read-only memory 1002, and the random access memory 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems may be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the control device of the battery cell production system to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows the control device of the battery cell production system with various systems, it should be understood that it is not required to implement or have all the shown systems. More or fewer systems can be alternatively implemented or had.

[0110] Specifically, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device, or installed from the storage device 1003, or installed from the read-only memory 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the methods of the embodiments disclosed in the present application are executed.

[0111] The control device of the battery cell production system provided by the present application adopts the control method of the battery cell production system in the above embodiments, and can solve the technical problem of how to improve the production efficiency of battery cells. Compared with the prior art, the beneficial effects of the control device of the battery cell production system provided by the present application are the same as those of the control method of the battery cell production system provided by the above embodiments, and other technical features in the control device of the battery cell production system are the same as those disclosed in the method of the previous embodiment, and will not be elaborated here.

[0112] It should be understood that each part disclosed in this application can be implemented by hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0113] As described above, it is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0114] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the control method of the battery cell production system in the above embodiments.

[0115] The computer-readable storage medium provided by this application can be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories (EPROMs), or flash memories, optical fibers, portable compact disk read-only memories (CD-ROMs), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or combined with an instruction execution system, device, or device. The program code contained on the computer-readable storage medium can be transmitted by any appropriate medium, including but not limited to: wires, optical cables, radio frequency (RF), etc., or any suitable combination of the above.

[0116] The above computer-readable storage medium can be included in the control device of the battery cell production system; it can also exist alone without being assembled into the control device of the battery cell production system.

[0117] The above computer-readable storage medium carries one or more programs which, when executed by a control device of a battery cell production system, enable the control device of the battery cell production system to write computer program code for performing the operations of this application in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, or executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0118] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in the flowchart or block diagram can represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0119] The modules described in the embodiments of this application can be implemented in software or in hardware. Among them, the name of the module does not constitute a limitation to the unit itself in some cases.

[0120] The readable storage medium provided by this application is a computer-readable storage medium, and the computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for executing the control method of the above-mentioned battery cell production system, which can solve the technical problem of how to improve the production efficiency of battery cells. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by this application are the same as those of the control method of the battery cell production system provided in the above embodiments, and will not be elaborated here.

[0121] The above are only partial embodiments of this application, and thus do not limit the patent scope of this application. Any equivalent structural transformation made under the technical concept of this application by using the content of the specification and drawings of this application, or any direct / indirect application in other related technical fields, is included in the patent protection scope of this application.

Claims

1. A control method for a battery cell production system, characterized in that Applied to a battery cell production system, the control method of the battery cell production system includes: After the battery cell production system receives an indication that the raw material loading is completed, generate an RFID tag update instruction according to the identification mark of the raw material, and send the update instruction to the RFID tag reading and writing device to control the RFID tag reading and writing device to update the RFID tag of the pneumatic capsule; Determine the operating parameters of the gas source device based on the type and weight of the raw material, and control the operation of the gas source device; Determine the target production station of the raw material according to the RFID tag identification result sent by the RFID tag reading and writing device; Read the topology map of the transmission pipeline, where the nodes of the topology map are multi-way valves and the edges of the topology map are the pipeline segments between the multi-way valves; Determine the pressure difference in each pipeline segment according to the pressures at the inlet and outlet of each pipeline segment detected by the pressure sensor; Determine the number of pneumatic capsules in each pipeline segment according to the difference in the number of RFID tags detected by the RFID tag reading and writing devices at both ends of the pipeline segment; Perform a weighted sum of the number of pneumatic capsules in the pipeline segment and the pressure difference to determine the congestion weight of each pipeline segment; Based on the target production station and the congestion weights of each pipeline segment in the transmission pipeline, determine the transportation path from the current multi-way valve to the target production station; Determine the target multi-way valve according to the transportation path and generate a valve control instruction; Send the valve control instruction to the multi-way valve to control the valve connected to the transportation path to open, so that the pneumatic capsule moves along the transportation path.

2. The control method of the battery cell production system according to claim 1, wherein, The method further includes: Determine the valve opening of the air flow regulating valve according to the moving speed of the pneumatic capsule detected by the speed sensor in the transmission pipeline; Generate a first control instruction based on the valve opening and send the first control instruction to the air flow regulating valve to control the valve opening of the air flow regulating valve.

3. The control method of the battery cell production system according to claim 2, characterized in that, The method further includes: Determine the expected speed range of the pneumatic capsule according to the type and weight of the raw material; When the moving speed of the pneumatic capsule is less than the minimum speed threshold, send an open valve control instruction to the air flow regulating valve to control the air flow regulating valve to increase the valve opening until the moving speed of the pneumatic capsule reaches the expected speed range; When the moving speed of the pneumatic capsule is greater than the maximum speed threshold, send a closed valve control instruction to the air flow regulating valve to control the air flow regulating valve to decrease the valve opening until the moving speed of the pneumatic capsule reaches the expected speed range.

4. The control method of the battery cell production system according to claim 2, wherein, When the pneumatic capsule is at the inlet pipeline segment of the transmission pipeline, the method further includes: Determine the valve opening speed of the air flow regulating valve based on the length of the inlet pipeline segment and the weight of the raw material; Generate a second control instruction based on the valve opening speed and the valve opening and send the second control instruction to the air flow regulating valve to control the air flow regulating valve to open the valve to the valve opening at the valve opening speed.

5. The control method of the battery cell production system according to claim 1, wherein Before the step of, after the battery cell production system receives an indication that raw material loading is completed, generating an RFID tag update instruction according to the identification label of the raw material and sending the update instruction to an RFID tag reading and writing device to control the RFID tag reading and writing device to update the RFID tag of the pneumatic capsule, the method further includes: Determining a corresponding automatic guided vehicle according to the type of raw material corresponding to the production order, and sending a transportation instruction to the automatic guided vehicle, where the transportation instruction includes a designated storage location; Determining the type of raw material corresponding to the identification label according to the identification label scanning result sent by the scanning device; If the identification label is consistent with the type of raw material corresponding to the production order, controlling the robotic arm to clamp the raw material package on the designated storage location to the automatic guided vehicle, and controlling the automatic guided vehicle to travel to the loading station along the planned path to perform unpacking and loading.

6. The control method of the battery cell production system according to claim 5, characterized in that, The step of controlling the automatic guided vehicle to travel to the loading station along the planned path includes: When the planned paths of at least two automatic guided vehicles overlap at any node or path segment, determining the driving priority of the automatic guided vehicle based on the remaining path length, load weight, and power status of the automatic guided vehicle; Generating a driving instruction for the automatic guided vehicle based on the driving priority, sending the driving instruction to the automatic guided vehicle, and controlling the automatic guided vehicle to drive, where the automatic guided vehicle with a lower priority is controlled to stop and wait at the overlapping node or path segment until the automatic guided vehicle with a higher priority passes through the node or path segment.

7. A control device for a battery cell production system, characterized in that, The device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the computer program is configured to implement the steps of the control method of the battery cell production system according to any one of claims 1 to 6.

8. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by the processor, the steps of the control method of the battery cell production system according to any one of claims 1 to 6 are implemented.

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