Multi-stage temperature control thermal battery manufacturing equipment and method

Through a multi-stage temperature control system and real-time detection and feedback mechanism, the problems of inaccurate temperature control and unstable process environment in traditional thermal battery manufacturing are solved, product quality and production line efficiency are improved, and real-time process optimization is achieved.

CN119133491APending Publication Date: 2024-12-13CHONGQING UNIV OF ARTS & SCI +1
View PDF 0 Cites 1 Cited by

Patent Information

Application Number
CN202411202950.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-29
Publication Date
2024-12-13

AI Technical Summary

Technical Problem

The temperature control in the traditional thermal battery manufacturing process is not accurate enough, the process environment fluctuates, and the process flow is instable, and the workpiece transmission and processing beat control is inaccurate, resulting in low production line efficiency and finished product quality problems.

Method used

Using a multi-stage temperature control system, combining temperature sensors, infrared sensors and gas sensors to monitor and adjust the temperature of the heating unit in real time, dynamically adjust the output power of the heater through the microcomputer host to ensure uniform and accurate heating of the material; at the same time, the speed of the conveyor belt is transmitted through the workpiece. Control and position tracking systems ensure that workpieces enter each processing and inspection module at a predetermined beat; integrate multiple inspection units for comprehensive quality inspection, and process detection data in real time to optimize process parameters.

Benefits of technology

It improves the accuracy of temperature control, stabilizes the process environment, reduces quality problems caused by environmental fluctuations, improves production line efficiency, ensures the quality and consistency of the finished product, and realizes real-time process adjustment and optimization.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119133491A_ABST
    Figure CN119133491A_ABST
Patent Text Reader

Abstract

The invention provides multi-stage temperature control thermal battery manufacturing equipment and method, and relates to the technical field of battery processing, the multi-stage temperature control thermal battery manufacturing equipment comprises a workpiece thermal battery and a workpiece conveying belt, the workpiece thermal battery is placed on the surface of the workpiece conveying belt, production line detection modules are arranged on the two sides of the path of the workpiece conveying belt respectively, and a middle workpiece box is arranged on the side face of one end of the workpiece conveying belt; the workpiece conveying belt is sequentially provided with a combined machining module and a finished product detection module at the extending position of the vertical side face, at the same end of the middle workpiece box, of the workpiece conveying belt, a multi-stage temperature control system is adopted, a temperature sensor, an infrared sensor and a gas sensor are combined, and the temperature of a heating unit is monitored and adjusted in real time. Through dynamic adjustment of the microcomputer host, the output power of the heater can be optimized in real time, and it is ensured that the temperatures of materials in different stages are uniform and accurate; the multi-stage temperature control design greatly improves the precision of temperature control and solves the problem of uneven heating, thereby improving the quality and consistency of products.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of battery processing, and in particular to a thermal battery manufacturing device and method with multi-stage temperature control. Background Art

[0002] According to the heating device, battery manufacturing equipment and battery manufacturing method disclosed in Chinese patent publication number CN115732735B, a heating device, battery manufacturing equipment and battery manufacturing method are involved, which belong to the field of battery manufacturing technology. The heating device is used to heat the material belt upstream of the first station, including: a bracket; a first heating module, which is movably mounted on the bracket; a first driving module, which is mounted on the bracket and is used to drive the first heating module to move along the running direction of the material belt, so that the first heating module can move between a first position close to the first station and a second position away from the first station.

[0003] According to the thermoelectric cell, the manufacturing method of the thermoelectric cell, and the manufacturing method of the thermoelectric body disclosed in Chinese Patent Publication No. CN113169683B, the thermoelectric cell has: a thermoelectric body, which includes a plurality of heat-utilizing power generation elements stacked with thermoelectric conversion layers and solid electrolyte layers, and converts thermal energy into electrical energy; a conductive shell, which includes a first shell and a second shell combined in an insulating state, and accommodates the thermoelectric body; an insulating component, which electrically insulates the first shell from the second shell, and electrically insulates the first shell or the second shell from the solid electrolyte layer on the side of the thermoelectric body; and a compressed conductor, which is accommodated in the shell and is clamped and compressed by the thermoelectric body and the shell. By arranging the compressed conductor on one side of at least one of the first shell and the second shell, the first shell, the thermoelectric body, and the second shell are electrically connected in the stacking direction.

[0004] The above patent documents and prior art have the following technical problems when used:

[0005] 1. In the manufacturing process of traditional thermal batteries, temperature control is usually not precise enough, resulting in uneven heating of materials, which affects the performance and quality of the product.

[0006] 2. In the manufacturing process of thermal batteries, fluctuations in the process environment (such as temperature, gas concentration, etc.) lead to process instability, but the current equipment is difficult to adjust or feedback by itself, and the final result is the quality of the finished product, resulting in waste;

[0007] 3. Traditional production lines have inaccurate control over workpiece transmission and processing rhythm, which can easily lead to low production line efficiency or increased waiting time during the production process. Traditional equipment often lacks a real-time feedback mechanism and cannot make immediate process adjustments and optimizations based on problems that arise during the production process, resulting in delayed process improvements. Summary of the invention

[0008] Technical issues solved

[0009] In view of the shortcomings of the prior art, the present invention provides a multi-stage temperature-controlled thermal battery manufacturing device and method, which solves the following problems:

[0010] 1. In the manufacturing process of traditional thermal batteries, temperature control is usually not precise enough, resulting in uneven heating of materials, which affects the performance and quality of the product.

[0011] 2. In the manufacturing process of thermal batteries, fluctuations in the process environment (such as temperature, gas concentration, etc.) lead to process instability, but the current equipment is difficult to adjust or feedback by itself, and the final result is the quality of the finished product, resulting in waste;

[0012] 3. Traditional production lines have inaccurate control over workpiece transmission and processing rhythm, which can easily lead to low production line efficiency or increased waiting time during the production process. Traditional equipment often lacks a real-time feedback mechanism and cannot make immediate process adjustments and optimizations based on problems that arise during the production process, resulting in delayed process improvements.

[0013] Technical Solution

[0014] To achieve the above objectives, the present invention is implemented through the following technical solutions: a multi-stage temperature-controlled thermal battery manufacturing equipment and method, including a workpiece thermal battery and a workpiece conveyor belt, the workpiece thermal battery is placed on the surface of the workpiece conveyor belt, production line detection modules are respectively provided on both sides of the path of the workpiece conveyor belt, an intermediate workpiece box is provided on the side of one end of the workpiece conveyor belt, and a composite processing module and a finished product detection module are sequentially provided on the extended position of the vertical side of the same end of the intermediate workpiece box of the workpiece conveyor belt.

[0015] Preferably, one group of secondary workbenches and two groups of secondary workbenches are respectively provided on both sides of the other end of the workpiece conveyor belt, and the table tops of the two secondary workbenches are provided with workbench blocks.

[0016] Preferably, a control host is bolted to the side of the workbench block, and the work host and the workpiece conveyor belt, the composite processing module, and the finished product detection module are all electrically connected.

[0017] Preferably, the composite processing module is provided with a preheating unit, a main heating unit and a cooling unit in sequence from the entrance end to the output end, and the top and sides of the inner cavity of the composite processing module are evenly distributed with temperature sensors, infrared sensors and gas sensors. The composite processing module is equipped with a built-in microcomputer host, and the microcomputer host is electrically connected to the preheating unit, the main heating unit, the cooling unit, the temperature sensor, the infrared sensor and the gas sensor respectively.

[0018] Preferably, the finished product inspection module includes an appearance inspection unit, an electrical performance inspection unit, a thermal performance inspection unit, an environmental durability testing unit and a data recording and analysis unit. The finished product inspection module has a built-in microcomputer host, and the appearance inspection unit, the electrical performance inspection unit, the thermal performance inspection unit, the environmental durability testing unit and the data recording and analysis unit are all electrically connected to the microcomputer host.

[0019] Preferably, the production line detection module includes a raw material detection unit, a process parameter monitoring unit, a production rhythm monitoring unit, an online quality detection unit and a data visualization and alarm unit. The production line detection module is equipped with a built-in microcomputer host. The data visualization and alarm unit includes a warning light and a display screen, and the warning light and the display screen are electrically connected to the microcomputer host.

[0020] Preferably, the method for manufacturing a thermal battery device with multi-stage temperature control comprises the following steps:

[0021] Sp1. Raw materials storage and quality inspection: Before the raw materials are sent to the production line, quality inspection is carried out to ensure that they meet the production requirements;

[0022] Sp2. Material pretreatment: pretreatment of qualified raw materials;

[0023] Sp3. Material preheating: preheating the raw materials;

[0024] Sp4. Main heating and temperature control: precise multi-stage heating of materials to ensure that thermal battery materials reach the best working state;

[0025] Sp5. Intermediate quality inspection: After the main heating is completed, the material is subjected to an intermediate quality inspection to ensure that it meets the expected process requirements;

[0026] Sp6. Multi-stage cooling: Precisely cool the heated material to avoid material deformation or performance degradation caused by overheating;

[0027] Sp7. Finished product inspection and output.

[0028] Preferably, the main heating and temperature control step further includes dynamically adjusting the temperature gradient and time distribution during the heating process through an adaptive dynamic temperature control module while performing multi-stage temperature control in combination with a real-time material property detection system. The adaptive dynamic temperature control module utilizes an intelligent material database, combines historical production data and current real-time detection data, and generates optimized temperature control parameters to ensure that each batch of thermal battery materials can be heated within the optimal process window.

[0029] Preferably, the multi-stage cooling step includes high-precision monitoring of the temperature changes of the material during the cooling process through a multi-point temperature sensor network and a real-time cooling curve prediction model, and combining digital twin technology to simulate and optimize the cooling process to avoid material thermal stress caused by uneven cooling.

[0030] Preferably, the Sp7. finished product detection and output comprises the following steps:

[0031] Sp7.1. Finished product appearance inspection: Perform appearance inspection on finished thermal batteries to ensure that the product appearance is flawless;

[0032] Sp7.2. Electrical performance testing: Test the electrical performance of the finished product to ensure that it meets the design requirements;

[0033] Sp7.3. Thermal performance testing: Test the thermal performance of the finished product to ensure its thermoelectric conversion efficiency and stability;

[0034] Sp7.4. Environmental durability test: simulate the performance of finished products in extreme environments to verify their durability;

[0035] Sp7.5. Data recording and analysis: record all test data and analyze them to optimize production process and product quality;

[0036] Sp7.6. Finished product packaging and warehousing: Qualified finished thermal batteries are packaged and stored in warehouses.

[0037] Beneficial Effects

[0038] The present invention provides a multi-stage temperature-controlled thermal battery manufacturing device and method. It has the following beneficial effects:

[0039] 1. The present invention adopts a multi-stage temperature control system, which combines temperature sensors, infrared sensors and gas sensors to monitor and adjust the temperature of the heating unit in real time; through the dynamic adjustment of the microcomputer host, the output power of the heater can be optimized in real time to ensure that the temperature of the material at different stages is uniform and accurate; this multi-stage temperature control design greatly improves the accuracy of temperature control, solves the problem of uneven heating, and thus improves the quality and consistency of the product.

[0040] 2. The gas sensor and temperature sensor in the present invention are not only used to monitor the material temperature, but also to monitor other key parameters (including gas concentration) in the process environment; through real-time monitoring of these parameters, the microcomputer host will adjust the exhaust system and other process parameters to ensure the stability of the process environment; this design reduces quality problems caused by fluctuations in the process environment and ensures the stability and reliability of the production process.

[0041] 3. The present invention ensures that the workpiece can enter each processing and detection module at a predetermined rhythm through the speed control and position tracking system of the workpiece conveyor belt 1; the control host 9 dynamically adjusts the speed of the conveyor belt and the position of the workpiece according to the real-time monitoring data, thereby ensuring the coordination and synchronization of each processing stage; this precise production rhythm control reduces the waiting time in production and improves the production efficiency of the overall production line. The finished product detection module 6 integrates a variety of detection units, including appearance detection, electrical performance detection, thermal performance detection and environmental durability detection; these detection units process the detection data in real time through the microcomputer host, and transmit the results to the control host 9, so that the system can comprehensively monitor various quality indicators of the finished product; this comprehensive quality detection design ensures the overall quality of the product and reduces the risk of unqualified products entering the market.

[0042] 4. Each module in the present invention is equipped with a real-time data feedback system. The microcomputer host and sensor system in the composite processing module 5 can collect and analyze production data in real time. When an abnormality or deviation is detected, the system can immediately adjust the process parameters or equipment operation to ensure continuous optimization and improvement of the production process. This design improves the flexibility and adaptability of production, enabling the equipment to quickly respond to and solve problems in production. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is the main structure diagram of the present invention;

[0044] Figure 2 It is an isometric layout schematic diagram of the present invention;

[0045] Figure 3 This is a performance comparison chart between the traditional equipment of the present invention and the technical solution.

[0046] Among them: 1. Workpiece conveyor belt; 2. Workpiece thermal battery; 3. Guide conveyor belt; 4. Intermediate workpiece box; 5. Composite processing module; 6. Finished product inspection module; 7. Production line inspection module; 8. Secondary workbench; 9. Control host; 10. Workbench block. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Specific embodiment one:

[0049] like Figure 1 , 2As shown, a multi-stage temperature-controlled thermal battery manufacturing device and method include a workpiece thermal battery 2 and a workpiece conveyor belt 1. At the same time, the workpiece conveyor belt 1 is divided into two parts, which are placed at a 90° angle. This angle can be adjusted at any time according to the actual factory area and the layout of the assembly line. At the same time, a guide conveyor belt 3 is provided at the connection position of the two parts of the workpiece conveyor belt 1, and a reversing workbench can also be added at the connection position of the two parts of the workpiece conveyor belt 1. Direct purchase is sufficient. A set of secondary workbenches 8 and two sets of secondary workbenches are respectively provided on both sides of the other end of the workpiece conveyor belt 1. The workbench 8 is provided with a workbench block 10 on the table top of two secondary workbenches 8, and a control host 9 is bolted to the side of the workbench block 10, and the work host 9 is electrically connected to the workpiece conveyor belt 1, the composite processing module 5, and the finished product detection module 6. The workpiece thermal battery 2 is placed on the surface of the workpiece conveyor belt 1, and production line detection modules 7 are respectively provided on both sides of the path of the workpiece conveyor belt 1. The production line detection module 7 includes a raw material detection unit, a process parameter monitoring unit, a production beat monitoring unit, an online quality detection unit and a data visualization and alarm unit. The production line detection module 7 has a built-in micro-electronic The computer host, the data visualization and alarm unit includes a warning light and a display screen, and the warning light and the display screen are electrically connected to the microcomputer host. An intermediate workpiece box 4 is provided on the side of one end of the workpiece conveyor belt 1. The workpiece conveyor belt 1 is provided with a composite processing module 5 and a finished product detection module 6 in sequence at the extended position of the vertical side of the same end of the intermediate workpiece box 4. The composite processing module 5 is provided with a preheating unit, a main heating unit and a cooling unit in sequence from the entry end to the output end, and the top and side of the inner cavity of the composite processing module 5 are evenly distributed with temperature sensors, infrared sensors and gas sensors. The composite processing module 5 is equipped with a microcomputer host, and the microcomputer host is electrically connected to the preheating unit, the main heating unit, the cooling unit, the temperature sensor, the infrared sensor and the gas sensor respectively. The finished product detection module 6 includes an appearance detection unit, an electrical performance detection unit, a thermal performance detection unit, an environmental durability test unit and a data recording and analysis unit. The finished product detection module 6 is equipped with a microcomputer host, and the appearance detection unit, the electrical performance detection unit, the thermal performance detection unit, the environmental durability test unit and the data recording and analysis unit are electrically connected to the microcomputer host.

[0050] Workpiece conveyor belt 1: The workpiece conveyor belt is a conveying device for the thermal battery workpiece. Its surface has a non-slip texture to ensure the stability of the workpiece during the transmission process. The speed of the conveyor belt is controlled by an adjustable motor, which is electrically connected to the control host 9. Workpiece thermal battery 2: This is the core component to be processed. It is sent to the processing module through the conveyor belt 1 and undergoes a multi-stage temperature control and finished product inspection process. Intermediate workpiece box 4: It is used to store workpieces in the production process to prevent the workpieces from being contaminated or damaged during the intermediate processing stage. Composite processing module 5: It integrates a preheating unit, a main heating unit and a cooling unit. Preheating unit: It includes multiple preheating zones, which are precisely controlled by embedded heaters and infrared sensors. The temperature sensor detects the material temperature in real time and feeds back to the microcomputer host. Main heating unit: It adopts a multi-stage electric heating system, combined with infrared sensors and gas sensors to monitor the temperature changes and gas emissions of the thermal battery. The microcomputer host adjusts the heating power in real time to ensure that the thermal battery reaches the optimal temperature. Cooling unit: includes multiple air-cooling and liquid-cooling modules, combined with temperature sensors and infrared sensors to monitor the cooling process to avoid overcooling or uneven cooling. Finished product inspection module 6: This module includes multiple inspection units to detect various performance indicators of thermal battery finished products. Appearance inspection unit: uses high-definition cameras and machine vision technology to detect the appearance quality of thermal batteries, including surface defects, dimensional accuracy, etc. Electrical performance inspection unit: uses voltage and current sensors to measure the voltage, current, internal resistance and other electrical performance indicators of thermal batteries. Thermal performance inspection unit: uses thermal imagers and temperature sensors to detect the thermoelectric conversion efficiency and temperature distribution of thermal batteries. Environmental durability test unit: simulates extreme environments (high temperature, low temperature, humidity, etc.) to test the durability of thermal batteries. Data recording and analysis unit: built-in microcomputer host, responsible for recording all test data, and performing data analysis to generate test reports. Production line inspection module 7: integrates multiple detection and monitoring units to monitor the real-time status of the production line. Raw material inspection unit: uses a spectrometer and image sensor to inspect the composition and appearance of raw materials to ensure that the materials meet production requirements. Process parameter monitoring unit: monitors the processing parameters in real time, including temperature, pressure, heating time, etc., and feeds back to the control host 9. Production rhythm monitoring unit: monitors the rhythm of each link of the production line to ensure the coordination and consistency of the production rhythm. Online quality inspection unit: monitors the product quality in the production process through sensors and cameras, and promptly discovers and feedbacks problems. Data visualization and alarm unit: displays the production status and alarm information in real time through the display screen and warning lights. The display screen is electrically connected to the microcomputer host. Control host 9: The core control unit is responsible for managing the operating status of each module. It is connected to each sensor, motor, and detection unit through the microcomputer host to realize intelligent control of the entire production process.

[0051] Raw material warehousing and inspection: Raw materials enter the production line through the conveyor belt 1 and are inspected by the raw material inspection unit of the production line inspection module 7 to ensure that they meet the production standards. Material pretreatment and preheating: Raw materials that meet the standards are sent to the preheating unit of the composite processing module 5 for pretreatment and preheating. The temperature sensor in the preheating unit monitors the material temperature in real time. Main heating and multi-stage temperature control: The material enters the main heating unit from the preheating unit, and the multi-stage electric heating system in the main heating unit gradually heats the material to the set temperature. Infrared sensors and gas sensors monitor the temperature changes of the material and the gas generated in real time. The microcomputer host adjusts the temperature settings of each level of heaters through an adaptive control algorithm to ensure that the thermal battery material is processed within the optimal temperature range. The temperature gradient and heating time at this stage are optimized and determined by the host based on historical data and real-time detection results.

[0052] Intermediate quality inspection: After the main heating is completed, the material is passed through the online quality inspection unit of the production line inspection module 7 for intermediate quality inspection before being transferred to the cooling unit. The inspection includes aspects such as surface quality and heating uniformity to ensure that the material meets the expected process requirements. If the inspection passes, the material will continue to be transferred to the next stage, otherwise an alarm will be triggered and it will be returned for reprocessing. Multi-stage cooling: The material enters the cooling unit of the composite processing module 5. The cooling process is divided into multiple stages. Each stage has an independent air cooling or liquid cooling system. Combined with the data of the temperature sensor and the infrared sensor, the microcomputer host dynamically adjusts the cooling intensity and time to avoid thermal stress or uneven cooling of the material. Finished product inspection and output: The cooled material is transmitted to the finished product inspection module 6, which performs appearance inspection, electrical performance inspection, thermal performance inspection and environmental durability test in turn. Each inspection unit is connected to the microcomputer host, and the inspection data is recorded and stored in real time. The data recording and analysis unit analyzes the inspection data, generates an inspection report, and guides the optimization of subsequent production processes. Finished product packaging and warehousing: All finished products that pass the inspection are automatically packaged and entered into the finished product warehouse after being marked. Finished products that fail the inspection will be marked as defective, and the system will be triggered to feedback to the production line to adjust the production parameters.

[0053] The workpiece conveyor belt 1 adopts a high-temperature resistant, non-slip silicone or rubber conveyor belt with an adjustable speed motor drive. The motor: adopts a servo motor with an encoder, which can accurately control the transmission speed and ensure the stability of the workpiece during the transmission process. The drive system: is equipped with a PLC (programmable logic controller) and a servo drive to control the speed and positioning of the conveyor belt. The shell material of the workpiece thermal battery adopts high-strength and corrosion-resistant metal materials, including stainless steel or titanium alloy. The internal components: thermoelectric chips, electrodes, packaging materials, etc., adopt existing commercially available thermoelectric materials (including bismuth telluride, magnesium antimonide, etc.).

[0054] The shell of the intermediate workpiece box 4 is made of metal or polymer material, with an inner lining with static elimination function to prevent the workpiece from being contaminated or damaged. The sealing system is equipped with an airtight sealing strip to prevent external pollutants from entering. The temperature control system uses a small constant temperature heater or cooling system to maintain the stability of the internal environment.

[0055] Preheating unit heater of composite processing module 5: using embedded PTC heating element, combined with thermocouple sensor to monitor temperature in real time, temperature sensor: high-precision K-type thermocouple sensor for real-time temperature detection, controller: PID thermostat connected to the microcomputer host to adjust the power output of the heater, main heating unit: electric heating system: multi-stage electric heater group (including quartz heating tube or resistance wire), each stage is independently controlled, infrared sensor: thermal imaging infrared sensor, real-time detection of surface temperature distribution of thermal battery, gas sensor: MEMS (micro-electromechanical system) gas sensor, monitoring harmful gases generated during processing, microcomputer host: built-in adaptive control algorithm, real-time adjustment of heater power, optimization of heating process, cooling unit: air cooling system: multiple adjustable speed industrial fans, combined with air duct design to achieve rapid and uniform cooling, liquid cooling system: equipped with circulating coolant pump, heat exchanger, cooling water pipeline to achieve precise cooling control, sensors: thermocouples and infrared sensors, monitoring temperature changes during cooling process.

[0056] The camera system of the appearance inspection unit of the finished product inspection module 6 adopts a high-definition CMOS camera, combined with an industrial camera lens, to achieve high-resolution image acquisition, machine vision software: visual analysis software integrated with the OpenCV library, automatically detects appearance defects and dimensional deviations, electrical performance inspection unit: voltage / current sensor: high-precision Hall sensor, used to measure the electrical performance parameters of the thermal battery, multi-function tester: including multimeter, bridge, etc., which can measure multiple indicators such as internal resistance, voltage, current, etc., thermal performance inspection unit: thermal imager: high-precision thermal imager, used to detect thermoelectric conversion efficiency and temperature distribution, temperature sensor: precision thermocouple, combined with the data acquisition module to record temperature data in real time, environmental durability test unit: high and low temperature test box: simulate extreme temperature environment (-40℃ to +150℃), test thermal battery tolerance, humidity test equipment: accurately control the humidity range (20% to 98%), test durability under humidity environment, data recording and analysis unit: microcomputer host: responsible for data storage and processing, integrated database management system (including MySQL), data analysis software: MATLAB or Python is used for data analysis and result presentation.

[0057] Spectral analyzer of the raw material detection unit of the production line detection module 7: used for raw material composition detection to ensure compliance with production requirements, image sensor: used to detect material appearance, combined with machine vision system to identify defects, process parameter monitoring unit: sensor network: including temperature, pressure, humidity and other sensors, real-time monitoring of process parameters, PLC control system: used to collect sensor data and feedback to the control host 9, production rhythm monitoring unit: time relay: used to monitor the duration of each production link to ensure consistent production rhythm, PLC controller: record and adjust the production rhythm to ensure consistency with the production plan, online quality inspection unit: quality sensor: used to detect physical parameters such as product weight to ensure product quality consistency, high-definition camera: real-time monitoring of the production process, automatic detection of possible quality problems, data visualization and alarm unit: display screen: industrial-grade LCD screen, real-time display of production status, alarm information, warning light: multi-color LED warning light, respectively indicating different types of alarm information.

[0058] The control host 9 of the control system includes a core processor, an industrial-grade PC with a built-in multi-core CPU and large-capacity memory, which is responsible for managing the operating status of each module. The communication module: uses industrial bus protocols such as EtherCAT or Modbus to achieve data communication between systems. The operating system: is equipped with a real-time operating system (including RT-Linux) to ensure the real-time and stability of production control.

[0059] Data management and remote monitoring include high-performance servers for storing and processing data from all production processes, supporting remote access and management, and remote monitoring system: cloud-based monitoring software that supports multi-terminal access and real-time viewing of production line status and historical data.

[0060] The human-machine interface includes touch screen: industrial touch screen, installed on the equipment control panel for on-site operation and monitoring, SCADA system: integrated monitoring and data acquisition system to achieve visualization and control of the entire production process. Specific embodiment 2:

[0062] A method for manufacturing a thermal battery device with multi-stage temperature control, the method comprising the following steps:

[0063] Sp1. Raw materials storage and quality inspection: Before the raw materials are sent to the production line, quality inspection is carried out to ensure that they meet the production requirements;

[0064] Sp2. Material pretreatment: pretreatment of qualified raw materials;

[0065] Sp3. Material preheating: preheating the raw materials;

[0066] Sp4. Main heating and temperature control: precise multi-stage heating of materials to ensure that thermal battery materials reach the best working state;

[0067] Sp5. Intermediate quality inspection: After the main heating is completed, the material is subjected to an intermediate quality inspection to ensure that it meets the expected process requirements;

[0068] Sp6. Multi-stage cooling: Precisely cool the heated material to avoid material deformation or performance degradation caused by overheating;

[0069] Sp7. Finished product inspection and output;

[0070] Sp7. Finished product inspection and output includes the following steps:

[0071] Sp7.1. Finished product appearance inspection: Perform appearance inspection on finished thermal batteries to ensure that the product appearance is flawless;

[0072] Sp7.2. Electrical performance testing: Test the electrical performance of the finished product to ensure that it meets the design requirements;

[0073] Sp7.3. Thermal performance testing: Test the thermal performance of the finished product to ensure its thermoelectric conversion efficiency and stability;

[0074] Sp7.4. Environmental durability test: simulate the performance of finished products in extreme environments to verify their durability;

[0075] Sp7.5. Data recording and analysis: record all test data and analyze them to optimize production process and product quality;

[0076] Sp7.6. Finished product packaging and warehousing: Qualified finished thermal batteries are packaged and stored in warehouses.

[0077] The main heating and temperature control steps further include using an adaptive dynamic temperature control module to dynamically adjust the temperature gradient and time distribution during the heating process while performing multi-level temperature control in combination with a real-time material property detection system. The adaptive dynamic temperature control module uses an intelligent material database, combined with historical production data and current real-time detection data, to generate optimized temperature control parameters to ensure that each batch of thermal battery materials can be heated within the optimal process window.

[0078] The multi-stage cooling step includes high-precision monitoring of the material’s temperature changes during the cooling process through a multi-point temperature sensor network and a real-time cooling curve prediction model, combined with digital twin technology to simulate and optimize the cooling process to avoid material thermal stress caused by uneven cooling.

[0079] The adaptive dynamic temperature control module uses input and optimization algorithms:

[0080] Input: material initial temperature A, material thickness B, ambient temperature C, historical production data D, current real-time detection data E; the optimization algorithm uses a genetic algorithm to optimize temperature control parameters. Fitness function: Comprehensively consider the temperature gradient F and time distribution G to minimize the objective function. The objective function is expressed as:

[0081]

[0082] H i Indicates the i-th level heating temperature setting; T target is the target temperature; G i represents the i-th level heating time configuration, λ is the offset, and a number between 0 and 1 is selected according to the actual situation. Through the genetic algorithm, F and G are optimized to obtain the best heating temperature setting H and heating time configuration I.

[0083] Output:

[0084] The multi-stage heating temperature setting H is the heating temperature of each stage obtained by genetic algorithm optimization.

[0085] Heating time configuration I Time configuration for each heating stage.

[0086] Real-time material property detection system:

[0087] Input and monitoring model

[0088] Input: material surface temperature J, internal temperature K, stress and strain data L; the monitoring model uses Bayesian Network to dynamically predict material property changes based on historical data D and current data E. Kalman filter is used to dynamically correct real-time data to ensure prediction accuracy.

[0089] The state transition equation of the Bayesian network is expressed as:

[0090]

[0091] P(X t ∣X t-1 ) is the state transition probability, given the previous time point X t-1 The current state is X t The probability of P(X t ) is the current state X t The prior probability of t ∣X t-1 ,θ i ) is the value of considering a specific parameter θ i Next, from state X t-1 Transfer to X tThe conditional probability of .

[0092] The prediction and update steps of the Kalchon filter are:

[0093]

[0094] P t∣t-1 =AP t-1 A T +Q

[0095] K t =P t∣t-1 H T (HP t∣t-1 H T +R) -1

[0096]

[0097] P t =(IK t H)P t∣t-1

[0098] is the predicted state variable; P t is the error covariance matrix, K t is the Kalman gain; The predicted value of the state at time t-1; P t∣t-1 : The error covariance matrix of the predicted state reflects the prediction uncertainty; A, B, H are the state transfer matrix, control input matrix and observation matrix; u t ,z is the control input and observation value;∈ t , Q, R are process noise, process noise covariance and observation noise covariance.

[0099] Output: Real-time temperature control adjustment suggestions M: Based on the real-time prediction of temperature and stress state by Bayesian network and Kalman filter, temperature control adjustment suggestions are given; Abnormal state alarm N: When abnormal material state is detected, the system triggers an alarm.

[0100] Multi-point temperature sensor network: Input and cooling curve prediction model:

[0101] Input quantity: temperature O at each point during the cooling process, ambient cooling rate P;

[0102] Cooling curve prediction model: Use DigitalTwin technology to build a virtual cooling model, combine input data O and P in real time, and predict the cooling curve of the material.

[0103] The temperature field prediction during the cooling process is expressed as:

[0104]

[0105] T cool (x, t) is the cooling temperature at position x and time t; T0 is the initial temperature; β is the attenuation coefficient during the cooling process, reflecting the cooling rate; γ is the influence coefficient of the ambient temperature; T env is the ambient temperature. This formula is used to predict the temperature distribution of the material during the cooling process, taking into account the effects of the initial temperature and the ambient temperature.

[0106] By combining real-time data, the cooling curve parameters are dynamically adjusted to optimize the cooling process.

[0107] Optimized cooling solutionQ: Generate optimized cooling solution through real-time prediction and adjustment.

[0108] Real-time cooling adjustment parameter R: Adjust various parameters in the cooling process according to the cooling curve prediction results.

[0109] Finished product inspection and data analysis uses input and analysis algorithms:

[0110] Input quantity: Appearance data S, electrical performance data T, thermal performance data U, environmental durability data V

[0111] Through machine learning models, the inspection data is analyzed to identify potential quality issues, and classification and regression analysis are performed through the training model M:

[0112]

[0113] y indicates quality issues.

[0114] Cooperative optimization formula for multi-stage heating temperature and time configuration: Introducing a global fitness function F global , to integrate the output of the adaptive dynamic temperature control module and the real-time material property detection system to dynamically optimize the temperature and time configuration:

[0115]

[0116] H i is the temperature setting of the ith heating stage, T target is the target temperature, M i is a real-time temperature control adjustment suggestion, N i is an abnormal state alarm, α, β, γ are weight coefficients, indicating the influence of each item on the global fitness function, by minimizing F global , the system can simultaneously optimize temperature settings, heating time configuration and real-time monitoring of materials.

[0117] Multi-module feedback optimization formula for cooling curve: The cooling curve output Q and real-time adjustment parameter R of the multi-point temperature sensor network will be fed back to the adaptive dynamic temperature control module and the real-time material property detection system to adjust the subsequent processing steps:

[0118]

[0119] Q is the initial cooling solution; R is the real-time cooling adjustment parameter; H i is the heating temperature setting for the i-th stage; T cool (i) is the cooling temperature at point i; K detected (i) is the temperature detected at point i; K predicted (i) is the predicted temperature at point i; λ and μ are feedback coefficients that control the feedback intensity.

[0120] By optimizing Q feedback , the system can better adjust the temperature and time settings during the heating process, and make more accurate parameter adjustments during the next cooling. 3. Global feedback formula for finished product inspection: The output W of the finished product inspection and data analysis module and the process optimization suggestion X will serve as global feedback, affecting the configuration of the entire production process:

[0121]

[0122] W and X are the outputs of the finished product inspection module, ω and θ are weights, reflecting the impact of finished product inspection on the optimization of the entire system; H i , G i , Q i They respectively represent the i-th level heating temperature setting and other related process parameters.

[0123] Global optimization steps:

[0124] 1. Initialization: Generate the initial temperature control parameters H and time configuration G according to the current system status.

[0125] 2. Iterative optimization: Gradually adjust the output of each module through the adaptive dynamic temperature control module, real-time material property detection system, multi-point temperature sensor network, and collaborative feedback from the finished product detection module.

[0126] 3. Global Optimization: Calculating F global and F final , dynamically adjust the input and output of each module to achieve overall optimization of the system.

[0127] 4. Feedback application: According to the results of finished product testing, adjust the global parameters for production optimization of the next batch.

[0128] The data score table obtained after further actual equipment adjustment is as follows:

[0129] Performance Indicators Existing equipment score Improved equipment score Improvement rate Temperature control accuracy 63 88 39.7% Process environment stability 70 95 35.7% Production rhythm control 60 85 41.7% Quality inspection coverage 55 80 45.5% Real-time feedback capability 58 82 41.4% Automation and intelligence level 60 85 41.7%

[0130] Combination Figure 3 As shown, it can be clearly seen that after the improved method, the main indicators of the equipment have a minimum improvement rate of more than 35%, which has great practical significance and application value.

[0131] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprising a reference structure" do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0132] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations may be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A multi-stage temperature-controlled thermal battery manufacturing device, comprising a workpiece thermal battery (2) and a workpiece conveyor belt (1), wherein the workpiece thermal battery (2) is placed on the surface of the workpiece conveyor belt (1), characterized in that: Production line detection modules (7) are respectively provided on both sides of the path of the workpiece conveyor belt (1), an intermediate workpiece box (4) is provided on the side surface of one end of the workpiece conveyor belt (1), and a composite processing module (5) and a finished product detection module (6) are sequentially provided at the extended position of the vertical side surface of the same end of the intermediate workpiece box (4) of the workpiece conveyor belt (1).

2. A multi-stage temperature controlled thermal battery manufacturing device and method according to claim 1, characterized in that: A group of secondary workbenches (8) and two groups of secondary workbenches (8) are respectively arranged on both sides of the other end of the workpiece conveyor belt (1), and the table tops of the two secondary workbenches (8) are provided with workbench blocks (10).

3. The multi-stage temperature controlled thermal battery manufacturing equipment and method according to claim 2, characterized in that: A control host (9) is bolted to the side of the workbench block (10), and the work host (9) and the workpiece conveyor belt (1), the composite processing module (5), and the finished product detection module (6) are all electrically connected.

4. The multi-stage temperature controlled thermal battery manufacturing equipment and method according to claim 1, characterized in that: The composite processing module (5) is provided with a preheating unit, a main heating unit and a cooling unit in sequence from the entrance end to the output end, and the top and side of the inner cavity of the composite processing module (5) are evenly distributed with temperature sensors, infrared sensors and gas sensors. The composite processing module (5) is equipped with a microcomputer host, and the microcomputer host is electrically connected to the preheating unit, the main heating unit, the cooling unit, the temperature sensor, the infrared sensor and the gas sensor.

5. The multi-stage temperature controlled thermal battery manufacturing equipment and method according to claim 1, characterized in that: The finished product inspection module (6) comprises an appearance inspection unit, an electrical performance inspection unit, a thermal performance inspection unit, an environmental durability test unit and a data recording and analysis unit. The finished product inspection module (6) has a built-in microcomputer host, and the appearance inspection unit, the electrical performance inspection unit, the thermal performance inspection unit, the environmental durability test unit and the data recording and analysis unit are all electrically connected to the microcomputer host.

6. The multi-stage temperature controlled thermal battery manufacturing equipment and method according to claim 1, characterized in that: The production line detection module (7) comprises a raw material detection unit, a process parameter monitoring unit, a production rhythm monitoring unit, an online quality detection unit and a data visualization and alarm unit. The production line detection module (7) is equipped with a microcomputer host. The data visualization and alarm unit comprises a warning light and a display screen, and the warning light and the display screen are electrically connected to the microcomputer host.

7. A method for manufacturing a thermal battery device with multi-stage temperature control according to any one of claims 1 to 6, characterized in that: The method comprises the following steps: Sp1. Raw materials storage and quality inspection: Before the raw materials are sent to the production line, quality inspection is carried out to ensure that they meet the production requirements; Sp2. Material pretreatment: pretreatment of qualified raw materials; Sp3. Material preheating: preheating the raw materials; Sp4. Main heating and temperature control: precise multi-stage heating of materials to ensure that thermal battery materials reach the best working state; Sp5. Intermediate quality inspection: After the main heating is completed, the material is subjected to an intermediate quality inspection to ensure that it meets the expected process requirements; Sp6. Multi-stage cooling: Precisely cool the heated material to avoid material deformation or performance degradation caused by overheating; Sp7. Finished product inspection and output.

8. A method for manufacturing a thermal battery device with multi-stage temperature control according to claim 7, characterized in that: The main heating and temperature control step further includes using an adaptive dynamic temperature control module to dynamically adjust the temperature gradient and time distribution during the heating process while performing multi-level temperature control in combination with a real-time material property detection system. The adaptive dynamic temperature control module uses an intelligent material database, combined with historical production data and current real-time detection data, to generate optimized temperature control parameters to ensure that each batch of thermal battery materials can be heated within the optimal process window.

9. A method for manufacturing a thermal battery device with multi-stage temperature control according to claim 7, characterized in that: The multi-stage cooling step includes high-precision monitoring of the temperature change of the material during the cooling process through a multi-point temperature sensor network and a real-time cooling curve prediction model, and combining digital twin technology to simulate and optimize the cooling process to avoid material thermal stress caused by uneven cooling.

10. A method for manufacturing a thermal battery device with multi-stage temperature control according to claim 7, characterized in that: The Sp7. finished product detection and output comprises the following steps: Sp7.

1. Finished product appearance inspection: Perform appearance inspection on finished thermal batteries to ensure that the product appearance is flawless; Sp7.

2. Electrical performance testing: Test the electrical performance of the finished product to ensure that it meets the design requirements; Sp7.

3. Thermal performance testing: Test the thermal performance of the finished product to ensure its thermoelectric conversion efficiency and stability; Sp7.

4. Environmental durability test: simulate the performance of finished products in extreme environments to verify their durability; Sp7.

5. Data recording and analysis: record all test data and analyze them to optimize production process and product quality; Sp7.

6. Finished product packaging and warehousing: Qualified finished thermal batteries are packaged and stored in warehouses.

Citation Information

Cited By

  • Digital twinborn model construction method and system of new energy heavy truck battery power system

    CN120597700A