Control method and equipment of battery cell production system and storage medium

Abstract

The invention discloses a control method and equipment of a battery cell production system and a storage medium, and relates to the technical field of automatic production system control. According to the method, after the battery cell production system receives the raw material loading completion instruction, the RFID tag updating instruction is generated according to the identification mark of the raw material, the RFID tag read-write equipment is controlled to update the RFID tag of the pneumatic capsule, the operation parameters of the gas source equipment are determined based on the type and weight of the raw material, the gas source equipment is controlled to operate, and then the raw material loading completion instruction is sent to the battery cell production system. According to the RFID tag identification result sent by the RFID tag read-write device, a transportation path is determined, a valve control instruction is generated according to the transportation path, the valve control instruction is sent to the multi-way valve, and the valve communicated with the transportation path is controlled to be opened, so that the pneumatic capsule moves according to the transportation path. According to the method, the battery cell production system can master the raw material state and perform production scheduling in time, and the production efficiency is improved.

Description

Technical Field

[0001] The present application relates to the technical field of automatic production system control, and in particular 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 routes during the material transportation process, and have limited ability to identify and track materials. The production system often operates according to preset processes and sequences, failing to monitor and analyze changes in production demand in real time, and thus being unable to adjust material transportation routes in a timely manner, resulting in insufficient coordination among various links in the production process, affecting overall production efficiency.

[0003] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of this 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 efficiency of battery cell production.

[0005] To achieve the above objectives, the present application proposes a control method for a battery cell production system, the method comprising: After the battery cell production system receives the raw material loading completion indication, it generates an RFID tag update instruction according to the identification mark of the raw material, and sends the update instruction to the RFID tag reader / writer to control the RFID tag reader / writer to update the RFID tag of the pneumatic capsule; Determining operating parameters of a gas source device based on the type and weight of the raw material, and controlling the operation of the gas source device; Determine a transport path according to the RFID tag recognition result sent by the RFID tag reading and writing device, and generate a valve control instruction according to the transport path; The valve control instruction is sent to the multi-way valve to control the valve connected to the transport path to open, so that the pneumatic capsule moves along the transport path.

[0006] In one embodiment, the step of determining the transport path according to the RFID tag recognition result sent by the RFID tag reading and writing device, and generating the valve control instruction according to the transport path includes: Determine the target production station of the raw material based on the RFID tag recognition result sent by the RFID tag reading and writing device; Reading a topological graph of a transmission pipeline, wherein nodes of the topological graph are multi-way valves, and edges of the topological graph are pipeline segments between the multi-way valves; Determining a transport path of the pneumatic capsule based on the target production station and the topological map of the transport pipeline; A target multi-way valve is determined according to the transport path, and the valve control instruction is generated.

[0007] In one embodiment, the step of determining the transport path of the pneumatic capsule based on the topological map of the target production station and the transport pipeline includes: Determine the pressure difference in each pipeline section according to the pressure at the inlet and outlet of each pipeline section detected by the pressure sensor; The number of pneumatic capsules in each pipeline segment is determined based on the difference in the number of RFID tags detected by the RFID tag reading and writing devices at both ends of the pipeline segment; Taking a weighted sum of the number of pneumatic capsules in the pipeline segment and the pressure difference, determining a congestion weight of each pipeline segment; Based on the target production station and the congestion weights of each pipeline segment in the transmission pipeline, a transportation path from the current multi-way valve to the target production station is determined.

[0008] In one embodiment, the method further comprises: 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; A first control instruction is generated based on the valve opening, and the first control instruction is sent to the airflow regulating valve to control the valve opening of the airflow regulating valve.

[0009] In one embodiment, the method further comprises: Determining an expected speed range of the pneumatic capsule based on the type and weight of the raw material; When the moving speed of the pneumatic capsule is less than the minimum speed threshold, a valve opening control instruction is sent to the airflow regulating valve to control the airflow 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, a valve closing control instruction is sent to the airflow regulating valve to control the airflow regulating valve to reduce the valve opening until the moving speed of the pneumatic capsule reaches the expected speed range.

[0010] In one embodiment, when the pneumatic capsule is at the inlet pipe section of the transport pipe, the method further comprises: Determining the opening speed of the airflow regulating valve based on the length of the inlet pipeline section and the weight of the raw material; A second control instruction is generated based on the valve opening speed and the valve opening, and the second control instruction is sent to the airflow regulating valve to control the airflow regulating valve to open the valve to the valve opening according to the valve opening speed.

[0011] In one embodiment, after the battery cell production system receives the raw material loading completion indication, the RFID tag update instruction is generated according to the identification mark of the raw material, and the update instruction is sent to the RFID tag reader / writer, and before the step of controlling the RFID tag reader / writer to update the RFID tag of the pneumatic capsule, it also includes: Determine a corresponding automatic guided vehicle according to the type of raw material corresponding to the production order, and send a transportation instruction to the automatic guided vehicle, wherein the transportation instruction includes a designated storage location; Determine the type of raw material corresponding to the identification mark according to the scanning result of the identification mark sent by the scanning device; If the identification mark is consistent with the type of raw material corresponding to the production order, the robot arm is controlled to clamp the raw material package on the designated storage location to the automatic guided vehicle, and the automatic guided vehicle is controlled to go to the loading station according to the planned path to perform unpacking and loading.

[0012] In one embodiment, the step of controlling the automatic guided vehicle to go to the loading station according to the planned path includes: When the planned paths of at least two automated guided vehicles overlap at any node or path segment, determining the driving priority of the automated guided vehicles based on the remaining path length, load weight and power status of the automated guided vehicles; Based on the driving priority, a driving instruction of the automatic guided vehicle is generated, the driving instruction is sent to the automatic guided vehicle, and the automatic guided vehicle is controlled to travel, wherein a low-priority automatic guided vehicle is controlled to stop and wait at an overlapping node or path segment until a high-priority automatic guided vehicle passes through the node or path segment.

[0013] In addition, to achieve the above-mentioned purpose, the present application also proposes a control device for a battery cell production system, the device comprising: 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.

[0014] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the control method of the battery cell production system as described above are implemented.

[0015] 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 mark of the raw material, and the update instruction is sent to the RFID tag reader / writer, the RFID tag reader / writer is controlled to update the RFID tag of the pneumatic capsule, the operating parameters of the air source device are determined based on the type and weight of the raw material, and the operation of the air source device is controlled, the transportation path is determined according to the RFID tag identification result sent by the RFID tag reader / writer, and a valve control instruction is generated according to the transportation path, and a valve control instruction is sent 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. 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, and timely perform production scheduling and resource allocation to improve production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0018] Figure 1 A flow chart of a control method for a battery cell production system according to an embodiment of the present invention; Figure 2 A flow chart of a control method for a battery cell production system according to a second embodiment of the present invention; Figure 3 A flow chart of a control method for a battery cell production system according to a third embodiment of the present invention; Figure 4 Schematic diagram of the equipment structure of the hardware operating environment involved in the control method of the battery cell production system in the embodiment of the present application.

[0019] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0020] 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.

[0021] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0022] Traditional battery cell production systems rely on fixed transportation routes during the material transportation process, and have limited ability to identify and track materials. The production system often operates according to preset processes and sequences, failing to monitor and analyze changes in production demand in real time, and thus being unable to adjust material transportation routes in a timely manner, resulting in insufficient coordination among various links in the production process, affecting overall production efficiency.

[0023] 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 loading of raw materials is completed, an RFID tag update instruction is generated according to the identification mark of the raw materials, and the update instruction is sent to the RFID tag reader / writer, and the RFID tag reader / writer is controlled to update the RFID tag of the pneumatic capsule. The operating parameters of the air source device are determined based on the type and weight of the raw materials, and the operation of the air source device is controlled. According to the RFID tag identification result sent by the RFID tag reader / writer, the transportation path is determined, and a valve control instruction is generated according to the transportation path. The valve control instruction is sent 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. 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 status of the raw materials, and timely perform production scheduling and resource allocation to improve production efficiency.

[0024] 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, etc. The following takes the battery cell production system as an example to illustrate this embodiment and the following embodiments.

[0025] Based on this, the first embodiment proposed in this 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: Step S10, after the battery cell production system receives the raw material loading completion indication, it generates an RFID tag update instruction according to the raw material identification mark, and sends the update instruction to the RFID tag reader / writer to control the RFID tag reader / writer to update the RFID tag of the pneumatic capsule.

[0026] It should be noted that after the raw materials are loaded into the pneumatic capsule, the robotic arm that transports the raw materials, or the preset visual recognition system on the raw material loading station, will send the instruction that the raw material loading is completed to the battery cell production system. When the battery cell production system receives the indication that the raw material loading is completed, it will obtain the identification mark of the raw material. The identification mark can be pre-set and recorded when the raw materials are put into storage or enter the production line, including information such as the type, batch, and supplier of the raw materials. The pneumatic capsule is a hollow sealed container with a built-in RFID (Radio Frequency Identification) tag that can be read and written repeatedly, which is used to store the information of the raw materials loaded in the pneumatic capsule. Before the raw materials are loaded into the pneumatic capsule, each raw material is assigned a unique identification mark, which can be printed or affixed to the raw material packaging or container.

[0027] Optionally, if the raw material is in powder or liquid form, the battery cell production system can control the robot arm to clamp the container loaded with the raw material, and through the identification device on the robot arm, such as a barcode scanner, an RFID tag reading and writing device, or other preset visual recognition systems, identify and read the identification mark on the container, and send the identification mark to the battery cell production system, so that the battery cell production system can read the information of the raw material loaded in the pneumatic capsule. After that, the battery cell production system controls the robot arm to pour the raw material in the container into the funnel or the guide trough, 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 raw material loading station area. After the identification device on the robot arm reads the identification mark of the raw material, the raw material information is uploaded to the battery cell production system. The battery cell production system generates an RFID tag update instruction based on the identification mark of the raw material, and sends the RFID tag update instruction to the RFID tag reading and writing device, and controls the RFID tag reading and writing device on the raw material loading station area to update the raw material information to the RFID tag of the pneumatic capsule. In some application scenarios, the robot arm can also be controlled to clamp the container loaded with raw materials and load it into the pneumatic capsule.

[0028] Optionally, if the raw material is in block, sheet or tube shape, the robot arm can be controlled to cooperate with the clamp or suction cup to grab the raw material, wherein the clamp and suction cup are determined according to the shape, size and weight of the raw material. 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 grabbing or adsorbing the raw material, the raw material is accurately loaded into the pneumatic capsule through a preset visual recognition system. After loading is completed, the battery cell production system sends the received raw material information to the control port of the RFID tag reader and writer, and uses the RFID tag reader and writer to update the raw material information to the RFID tag of the pneumatic capsule.

[0029] Optionally, when controlling the RFID tag reading and writing device to update the raw material information read and identified to the RFID tag in the pneumatic capsule, the RFID tag reading and writing device is controlled to send a deletion instruction to the RFID tag, 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.

[0030] Step S20, determining the operating parameters of the gas source equipment based on the type and weight of the raw material, and controlling the operation of the gas source equipment.

[0031] 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 microsensor in the pneumatic capsule, and the weight of the raw materials in the pneumatic capsule can be sent to the battery cell production system; or during the loading process, the weight of the raw materials loaded in a single time is fixed and sent to the battery cell production system. The battery cell production system determines the operating parameters of the air source equipment, 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 air source equipment refers to a device that can generate compressed air or airflow and transport it to the pneumatic system through a pipeline, including air compressors, vacuum pumps, air pumps, fans, etc. The specific selection depends on the type and needs of the pneumatic system.

[0032] Optionally, a compressed air device and a solenoid valve are installed at the inlet of the transmission pipeline of the raw material loading station to realize positive pressure transportation. 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 airflow amplifier. The pneumatic capsule is driven by the airflow to enter the transmission pipeline from the loading station and be transported to the target production station.

[0033] Optionally, a vacuum generator, an air suction pipe and other equipment are installed at the entrance of the transmission pipe of the raw material loading station, wherein one end of the air suction pipe is connected to the vacuum generator, and the other end is connected to the end of the pipe entrance to achieve negative pressure transportation. For example, the vacuum generator is first started to form a vacuum, and the raw materials are sucked into the transmission pipe from the end of the pipe entrance by the effect of the vacuum, and transported in the transmission pipe.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] Optionally, a control formula for the operating parameters of the gas source equipment is determined according to the type of raw material, wherein the control formula is used to determine the operating parameters according to the weight of the raw material or other parameters. For example, for metal raw materials, the control formula may be air flow pressure P=a×W+b, flow rate Q=c×W+d, wherein W is the weight of the raw material, and a, b, c, d, etc. are coefficients determined according to experimental data or experience.

[0038] Step S30, determining a transportation path according to the RFID tag recognition result sent by the RFID tag reading and writing device, and generating a valve control instruction according to the transportation path.

[0039] Step S40, sending the valve control instruction to the multi-way valve to control the valve connected to the transport path to open, so that the pneumatic capsule moves along the transport path.

[0040] 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.

[0041] Optionally, if the transport path is preset in the RFID tag of the pneumatic capsule, the forward pipeline of the pneumatic capsule is determined according to the transport path. The transport path can be stored in the form of a series of branch pipeline numbers or direction codes. Specifically, the battery cell production system can determine the forward pipeline according to the pipeline number in the transport path, and at the same time, control the valve in the multi-way valve connected to the forward pipeline to open, so that the pneumatic capsule enters the forward pipeline.

[0042] 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 topological map of the transmission pipeline is read, wherein the nodes of the topological map are multi-way valves, and the edges of the topological map are the pipeline segments between the multi-way valves; based on the topological map of the target production station and 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 the valve control instruction is generated.

[0043] Exemplarily, when the RFID tag reading and writing device at the branch pipeline detects the RFID tag signal of the pneumatic capsule, the identification operation is triggered, and the RFID tag identification result is sent to the battery cell production system, and the battery cell production system reads the target production station of the raw material from the RFID tag identification result, and reads the topological map of the transmission pipeline from the database. The topological map includes multi-directional valve node information and pipeline segment information, such as multi-directional valve number, pipeline segment number, pipeline segment length, etc., wherein the nodes of the topological map are multi-directional valves, and the edges of the topological map are pipeline segments between multi-directional valves.

[0044] After determining the target production station of the raw material and obtaining the topological map of the transmission pipeline, determine the position coordinates of the target production station in the transmission pipeline or the corresponding multi-way valve node. In the topological map, 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 according to the transportation path and the topological map, and generate a valve control instruction, wherein the valve control instruction is used to control the valve of the target multi-way valve.

[0045] Exemplarily, when determining the transport path, create an accessed queue, and according to the topological diagram of the transmission 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 accessed queue and mark it as visited. Take 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. Continue the process of node dequeueing and neighbor checking until the target node is taken out of the unvisited queue, and obtain multiple initial transport paths. Then, for each initial transport path, determine the optimization index such as the sum of the path lengths or the number of pipeline segments, and determine the final transport path based on the optimization index.

[0046] Optionally, based on the topological diagram of the target production station and the transmission pipeline, the step of determining the transportation path of the pneumatic capsule includes: determining the pressure difference in each pipeline segment according to the pressure 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; taking the 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-directional valve to the target production station based on the congestion weights of the target production station and each pipeline segment in the transmission pipeline.

[0047] It should be noted that when the pneumatic capsule is transported in the transmission pipeline, its movement depends on the push of the airflow. When the airflow flows in the transmission pipeline, it will be subject to various resistances, including the friction resistance of the pipeline wall, the resistance of the pneumatic capsule, etc. According to the principles of fluid mechanics, when the airflow passes through the pipeline section, the pressure difference at the inlet and outlet is proportional to the resistance encountered by the airflow. Under normal circumstances, the airflow can smoothly push the pneumatic capsule forward, and the pressure difference in the pipeline section is relatively stable. When the transportation is congested, the flow of the airflow is hindered and the resistance increases. In order to maintain the flow of the airflow, a larger pressure difference is required to overcome the resistance. Therefore, the change in pressure difference can reflect the change in airflow resistance, and indirectly reflect whether the pneumatic capsule transportation is congested.

[0048] Pressure sensors are installed at the entrance and exit of each pipeline segment of the transmission pipeline. The battery cell production system calculates the pressure difference of each pipeline segment based on the pressure at the entrance and exit of each pipeline segment detected by the pressure sensor. The RFID tag reading and writing devices installed at the entrance and exit of each pipeline segment 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 segment, the battery cell production system obtains the number of RFID tags read by the RFID tag reading and writing devices at its entrance and exit in the same time period, and determines the current number of pneumatic capsules in the pipeline segment by calculating the difference between the entrance number and the exit number. For example, if N tags are read at the entrance and M tags are read at the exit, the number of pneumatic capsules in the pipeline segment is NM. At the same time, the calculation result is associated with the pipeline segment number and stored. According to the actual application scenarios and experience, the weight coefficients of the number of pneumatic capsules and the pressure difference in the congestion weight calculation are set. For each pipeline segment, the number of pneumatic capsules and the pressure difference in it are obtained, and the weighted sum is performed according to the set weight coefficient. The calculated congestion weight value is stored in correspondence with the pipeline segment number. As time goes by and the situation in the pipeline changes, the above calculation process is repeated regularly to update the congestion weight of each pipeline segment to reflect the current congestion situation.

[0049] After that, the target production station of the pneumatic capsule is obtained and its position in the transmission pipeline network is determined, that is, the corresponding target multi-directional valve node. The congestion weight of each pipeline segment calculated previously is used as the weight value of the edge. The larger the weight value, the higher the congestion degree of the pipeline segment. Through the path planning algorithm such as Dijkstra algorithm and A* algorithm, according to the edge weight value, the path with the smallest congestion weight is selected as the transportation path.

[0050] In this embodiment, the battery cell production system uses RFID technology to update the RFID tag of the pneumatic capsule after the raw materials are loaded, so as to realize accurate identification and real-time tracking of the materials. At the same time, the operating parameters of the gas source equipment are determined according to the characteristics of the raw materials to ensure the optimal operation of the gas source equipment, and the material transportation route is dynamically adjusted according to the transportation path at the branch pipeline to realize real-time optimization control of the transportation process, which effectively improves the flexibility, adaptability and efficiency of the battery cell production system in controlling the transportation of pneumatic capsules, reduces the risk of congestion during transportation, ensures that the raw materials can reach the target production station in a timely and accurate manner, and improves the battery cell production efficiency.

[0051] Based on the above embodiments of the present application, in the second embodiment of the present application, the same or similar contents as those in the above embodiments can be referred to the above introduction, and will not be described in detail later. Figure 2 , the control method of the battery cell production system further includes steps S50 to S60: Step S50, determining the valve opening of the airflow regulating valve according to the moving speed of the pneumatic capsule detected by the speed sensor in the transmission pipeline.

[0052] Step S60: generating a first control instruction based on the valve opening, and sending the first control instruction to the airflow regulating valve to control the valve opening of the airflow regulating valve.

[0053] Optionally, a sensor that can directly measure the moving speed is installed in 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. High-speed cameras can also be installed at the entrance and exit 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 image through image processing algorithms, such as edge detection and target recognition, and calculates its moving speed based on the position change and time difference of the pneumatic capsule at the entrance and exit.

[0054] Optionally, a mapping relationship between the moving speed of the pneumatic capsule and the opening of the airflow regulating valve is established. For example, a series of different valve openings can be preset. After the moving speed data of the pneumatic capsule is determined, the corresponding valve opening is determined according to the mapping relationship.

[0055] Optionally, a proportional-integral-differential controller is used to achieve dynamic adjustment of speed and valve opening. Specifically, a target speed of the pneumatic capsule is set, and the valve opening is proportionally adjusted according to the difference between the current speed and the target speed. For example, if the current speed is lower than the target speed, the valve opening is appropriately increased to increase the airflow, thereby increasing the moving speed of the pneumatic capsule.

[0056] Optionally, the expected speed range of the pneumatic capsule is determined according to the type and weight of the raw material; when the moving speed of the pneumatic capsule is less than a minimum speed threshold, a valve opening control instruction is sent to the airflow regulating valve to control the airflow 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 a maximum speed threshold, a valve closing control instruction is sent to the airflow regulating valve to control the airflow regulating valve to reduce the valve opening until the moving speed of the pneumatic capsule reaches the expected speed range.

[0057] For example, different expected speed ranges are set for raw materials of different types and weights according to actual application scenarios and experience, and a valve opening value is set 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 airflow regulating valve, and controls the airflow regulating valve to open to the set valve opening value. Then, based on the simulated annealing algorithm, the valve opening of the airflow regulating valve is adjusted in real time according to the real-time moving speed of the pneumatic capsule in the pipeline segment.

[0058] For example, according to the moving speed of the pneumatic capsule in the pipeline section, an initial valve opening value is randomly generated. According to the current valve opening value, the difference between the current moving speed of the pneumatic capsule after airflow adjustment and the target moving speed 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, and a new cost function value is calculated according to the new valve opening value. According to the acceptance criterion and cooling strategy of the simulated annealing algorithm, it is decided whether to accept the new valve opening value, where the acceptance probability is related to the cost function value and 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. Repeat the process of generating a new valve opening, calculating a new cost function, accepting the criterion and updating the temperature until a certain number of iterations is met or the temperature drops to a preset value, and select the valve opening value with the lowest cost function value from all generated valve opening values ​​as the optimal valve opening. The obtained optimal valve opening is sent to the airflow regulating valve, a control instruction is sent to the airflow regulating valve, the valve of the airflow regulating valve is adjusted to the optimal valve opening, and the airflow is optimized.

[0059] Optionally, when the pneumatic capsule is at the inlet pipe section of the transmission pipe, the opening speed of the airflow regulating valve is determined based on the length of the inlet pipe section and the weight of the raw material; a second control instruction is generated based on the valve opening speed and the valve opening, and the second control instruction is sent to the airflow regulating valve to control the airflow regulating valve to open the valve to the valve opening according to the valve opening speed.

[0060] It should be noted that the pneumatic capsule requires an appropriate initial thrust at the inlet pipe section to overcome static friction and starting inertia. If the valve opening speed is too fast, the airflow thrust will suddenly increase, which may cause the pneumatic capsule to accelerate too fast instantly, generating a large impact force and causing damage to the raw materials in the pneumatic capsule. If the valve opening speed is too slow, it may make it difficult for the pneumatic capsule to start, or even fail to enter the transmission pipeline smoothly. Therefore, when the pneumatic capsule is at the inlet pipe section of the transmission pipeline, the valve opening speed of the airflow regulating valve can be controlled based on the length of the inlet pipe section and the weight of the raw materials.

[0061] Exemplarily, the length L of the pipeline section at the inlet of the transmission pipeline and the weight m of the raw material in the pneumatic capsule are first obtained, a reinforcement learning model is constructed, parameters such as the learning rate and the discount factor are set, and the value function is initialized. According to the state information such as the length L of the current pipeline section, the weight m of the raw material, the current opening of the valve, and the moving speed of the pneumatic capsule, an action is selected, that is, increasing the opening speed of the airflow regulating valve or reducing the opening speed of the airflow regulating valve. According to the selected action, a control signal is sent to the airflow regulating valve to adjust its opening. Then, according to the new valve opening and the moving speed of the pneumatic capsule, the reward value is calculated. For example, if the pneumatic capsule accelerates smoothly and quickly to 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, the selected action is executed.

[0062] Optionally, when calculating the reward value, a reward function may be defined based on three factors: the speed deviation between the current moving speed of the pneumatic capsule and the target moving speed, the speed change rate, and the time required for the pneumatic capsule to reach the target moving speed. The smaller the deviation between the current moving speed of the pneumatic capsule and the target moving speed 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:

[0063] Among them, R is the reward value, w1, w2, w3 are weight coefficients, It is the maximum time required to reach the target moving speed. When the reward value R exceeds the preset high reward threshold, it means that the acceleration process of the pneumatic capsule is very ideal and the currently selected action of adjusting the valve opening can be performed. When the reward value R is lower than the preset low reward threshold Rlow, it means that the acceleration process of the pneumatic capsule is not ideal and the valve opening needs to be further adjusted.

[0064] In this embodiment, by installing a speed sensor in the transmission 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 airflow regulating valve in real time according to the expected speed range determined by the type and weight of the raw material, so that the moving speed of the pneumatic capsule remains within the expected range. At the same time, when the pneumatic capsule enters the inlet pipeline section of the transmission pipeline, the battery cell production system controls the valve opening speed of the airflow regulating valve through a reinforcement learning model according to the length of the inlet pipeline section and the weight of the raw material, 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 damage to the raw materials due to abnormal speed, and thus improves the efficiency of battery cell production.

[0065] Based on the above embodiments of the present application, in the third embodiment of the present application, the same or similar contents as those in the above embodiments can be referred to the above introduction, and will not be described in detail later. Figure 3 Before step S10, the control method of the battery cell production system further includes steps S70 to S90: Step S70, 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, wherein the transportation instruction includes a designated storage location.

[0066] In the production planning stage, the battery production system can automatically generate production orders based on inventory status and production needs. The production order includes at least the type of raw materials required, the designated warehouse location of the raw materials, and the target production station of the raw materials.

[0067] Optionally, according to the type of raw material recorded in the production order, a matching automatic guided vehicle is searched in a preset correspondence table between raw material types and automatic guided vehicles. For example, if the production order requires "metal raw materials", the number of the automatic guided vehicle specified in the correspondence table is searched, and a transportation instruction is sent 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.

[0068] Step S80, determining the type of raw material corresponding to the identification mark according to the scanning result of the identification mark sent by the scanning device.

[0069] Exemplarily, the automatic guided vehicle is equipped with various types of scanners, such as a two-dimensional code scanner, an RFID tag reading and writing device, a camera, etc. According to the type of identification mark on the designated storage location, select a suitable scanner. For example, if a two-dimensional code mark is used on the storage location, start the two-dimensional code scanner. The scanner is aimed at the identification mark on the storage location, scans it, and transmits the collected identification mark data to the battery cell production system, and the battery cell production system parses the identification mark data. For example, the two-dimensional code image extracts the type of raw material therein through a decoding algorithm, and the RFID tag data extracts the type of raw material through a specific reading protocol. Afterwards, 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 is passed, and the battery cell production system sends instructions to the robot 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 to perform manual intervention.

[0070] Step S90, if the identification mark is consistent with the type of raw material corresponding to the production order, the robot arm is controlled to clamp the raw material package on the designated storage location to the automatic guided vehicle, and the automatic guided vehicle is controlled to go to the loading station according to the planned path to perform unpacking and loading.

[0071] For example, if the battery cell production system confirms that the identification mark is consistent with the raw material type corresponding to the production order, the robot arm is started and controlled to move to the designated storage location. The visual system on the robot arm locates the raw material package to ensure that the clamp can accurately align with the raw material package. According to the size and shape of the raw material package, the opening and closing degree and angle of the clamp are adjusted. Then, the clamp is used to clamp the raw material package and lift it to a certain height, and the clamped raw material package is placed on the loading platform of the automatic guided vehicle. The automatic guided vehicle automatically plans the path to the loading station according to the layout of the production line, and autonomously navigates to the loading station according to the planned path.

[0072] Optionally, when the planned paths of at least two automated guided vehicles overlap at any node or path segment, the driving priority of the automated guided vehicle is determined based on the remaining path length, load weight and power status of the automated guided vehicle; 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 driving of the automated guided vehicle is controlled, wherein 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 the node or path segment.

[0073] Exemplarily, after each automated guided vehicle is equipped with a raw material package, a planned path from the current storage location to the loading station is generated by 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, and then the path segments of all automated guided vehicles are compared in pairs 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 state 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 state, 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, and the automated guided vehicles are sorted according to the comprehensive priority score to determine their driving priority. If the automated guided vehicles meet at overlapping nodes or path segments during driving, the automated guided vehicle with a higher priority is controlled to drive first according to the driving priorities of the automated guided vehicles.

[0074] In this embodiment, the battery cell production system determines the corresponding automatic guided vehicle by the type of raw material in the production order, and controls it to move to the storage location where the raw material is located; by receiving the identification mark sent by the scanner to scan the storage location, it verifies whether the type of raw material is consistent with the production order; if it is consistent, the robot arm is controlled to take the raw material package to the automatic guided vehicle, and go 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 production efficiency and logistics efficiency, and improving the reliability and flexibility of the entire production line.

[0075] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the control method of the battery cell production system of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0076] The present application provides a control device for a battery cell production system, the control device for the battery cell production system comprising: 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 for the battery cell production system in the above-mentioned embodiment one.

[0077] Reference below Figure 4 , which shows a schematic diagram of the structure of a control device suitable for implementing a battery cell production system in an embodiment of the present application. The control device of the battery cell production system in an embodiment of the present application may include but is not limited to a mobile terminal such as a laptop computer, a PAD (Portable Application Description, tablet computer), etc., and a fixed terminal such as a desktop computer. Figure 4 The control device of the battery cell production system shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0078] like 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 a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 to a 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 via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the control device of the battery cell production system to communicate with other devices wirelessly or by wire to exchange data. Although the control device of the battery cell production system with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0079] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. 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 includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a read-only memory 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0080] 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 embodiment, which can solve the technical problem of how to improve the efficiency of battery cell production. 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 the beneficial effects of the control method of the battery cell production system provided by the above embodiment, and the other technical features in the control device of the battery cell production system are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0081] It should be understood that the various parts 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 any one or more embodiments or examples in a suitable manner.

[0082] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0083] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, 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-mentioned embodiment.

[0084] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory (EPROM) or flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM, CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, radio frequencies (RF, Radio Frequency), etc., or any suitable combination of the above.

[0085] The computer-readable storage medium may be included in the control device of the battery cell production system; or may exist independently without being assembled into the control device of the battery cell production system.

[0086] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the control device of the battery cell production system, the control device of the battery cell production system can be written in one or more programming languages ​​or a combination thereof to write computer program codes for performing the operations of the present application. The programming languages ​​include object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed completely on the user's computer, partially on the user's computer, or as an independent software package, partially on the user's computer and partially on a remote computer, or completely 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, using an Internet service provider to connect through the Internet).

[0087] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0088] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0089] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the control method of the above-mentioned battery cell production system, and can solve the technical problem of how to improve the efficiency of battery cell production. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the control method of the battery cell production system provided in the above-mentioned embodiment, and will not be repeated here.

[0090] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present 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 the raw material loading completion indication, it generates an RFID tag update instruction according to the identification mark of the raw material, and sends the update instruction to the RFID tag reader / writer to control the RFID tag reader / writer to update the RFID tag of the pneumatic capsule; Determining operating parameters of a gas source device based on the type and weight of the raw material, and controlling the operation of the gas source device; Determine a transport path according to the RFID tag recognition result sent by the RFID tag reading and writing device, and generate a valve control instruction according to the transport path; The valve control instruction is sent to the multi-way valve to control the valve connected to the transport path to open, so that the pneumatic capsule moves along the transport path.

2. The control method of the battery cell production system according to claim 1, characterized in that: The step of determining the transport path according to the RFID tag recognition result sent by the RFID tag reading and writing device, and generating the valve control instruction according to the transport path includes: Determine the target production station of the raw material based on the RFID tag recognition result sent by the RFID tag reading and writing device; Reading a topological graph of a transmission pipeline, wherein nodes of the topological graph are multi-way valves, and edges of the topological graph are pipeline segments between the multi-way valves; Determining a transport path of the pneumatic capsule based on the target production station and the topological map of the transport pipeline; A target multi-way valve is determined according to the transport path, and the valve control instruction is generated.

3. The control method of the battery cell production system according to claim 2, characterized in that: The step of determining the transport path of the pneumatic capsule based on the topological diagram of the target production station and the transport pipeline includes: Determine the pressure difference in each pipeline section according to the pressure at the inlet and outlet of each pipeline section detected by the pressure sensor; The number of pneumatic capsules in each pipeline segment is determined based on the difference in the number of RFID tags detected by the RFID tag reading and writing devices at both ends of the pipeline segment; Taking a weighted sum of the number of pneumatic capsules in the pipeline segment and the pressure difference, determining a congestion weight of each pipeline segment; Based on the target production station and the congestion weights of each pipeline segment in the transmission pipeline, a transportation path from the current multi-way valve to the target production station is determined.

4. The control method of the battery cell production system according to claim 1, characterized in that: The method further comprises: 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; A first control instruction is generated based on the valve opening, and the first control instruction is sent to the airflow regulating valve to control the valve opening of the airflow regulating valve.

5. The control method of the battery cell production system according to claim 4, characterized in that: The method further comprises: Determining an expected speed range of the pneumatic capsule based on the type and weight of the raw material; When the moving speed of the pneumatic capsule is less than the minimum speed threshold, a valve opening control instruction is sent to the airflow regulating valve to control the airflow 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, a valve closing control instruction is sent to the airflow regulating valve to control the airflow regulating valve to reduce the valve opening until the moving speed of the pneumatic capsule reaches the expected speed range.

6. The control method of the battery cell production system according to claim 4, characterized in that: When the pneumatic capsule is at the inlet pipe section of the transport pipe, the method further comprises: Determining the opening speed of the airflow regulating valve based on the length of the inlet pipeline section and the weight of the raw material; A second control instruction is generated based on the valve opening speed and the valve opening, and the second control instruction is sent to the airflow regulating valve to control the airflow regulating valve to open the valve to the valve opening according to the valve opening speed.

7. The control method of the battery cell production system according to claim 1, characterized in that: After the battery cell production system receives the raw material loading completion indication, the RFID tag update instruction is generated according to the identification mark of the raw material, and the update instruction is sent to the RFID tag reader / writer, and before the step of controlling the RFID tag reader / writer to update the RFID tag of the pneumatic capsule, the step also includes: Determine a corresponding automatic guided vehicle according to the type of raw material corresponding to the production order, and send a transportation instruction to the automatic guided vehicle, wherein the transportation instruction includes a designated storage location; Determine the type of raw material corresponding to the identification mark according to the scanning result of the identification mark sent by the scanning device; If the identification mark is consistent with the type of raw material corresponding to the production order, the robot arm is controlled to clamp the raw material package on the designated storage location to the automatic guided vehicle, and the automatic guided vehicle is controlled to go to the loading station according to the planned path to perform unpacking and loading.

8. The control method of the battery cell production system according to claim 7, characterized in that: The step of controlling the automatic guided vehicle to go to the loading station according to the planned path includes: When the planned paths of at least two automated guided vehicles overlap at any node or path segment, determining the driving priority of the automated guided vehicles based on the remaining path length, load weight and power status of the automated guided vehicles; Based on the driving priority, a driving instruction of the automatic guided vehicle is generated, the driving instruction is sent to the automatic guided vehicle, and the automatic guided vehicle is controlled to travel, wherein a low-priority automatic guided vehicle is controlled to stop and wait at an overlapping node or path segment until a high-priority automatic guided vehicle passes through the node or path segment.

9. A control device for a battery cell production system, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the control method for the battery cell production system according to any one of claims 1 to 8.

10. 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. When the computer program is executed by a processor, the steps of the control method of the battery cell production system according to any one of claims 1 to 8 are implemented.

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