Lithium battery material sintering control method and system and lithium battery material sintering furnace

Abstract

The application provides a lithium battery material sintering control method and system and a lithium battery material sintering furnace, relates to the field of lithium battery material sintering furnaces, and can dynamically and self-adaptively feed forward compensation coupling of pressure and temperature of the lithium battery material sintering furnace, fully considers the material properties in the lithium battery material sintering furnace, and greatly improves the control effect of the lithium battery material sintering state in the lithium battery material sintering furnace.

Description

Technical Field

[0001] This invention relates to the field of lithium battery material sintering furnaces, and in particular to a lithium battery material sintering control method, system, and lithium battery material sintering furnace. Background Technology

[0002] In the production and manufacturing process of lithium batteries, the performance of the two electrode materials directly affects the energy density, cycle life and safety of lithium-ion batteries. The sintering process is a key step in the preparation of lithium battery positive and negative electrode materials, and the precision of temperature and pressure control has a decisive impact on the performance indicators of lithium battery materials such as crystal structure and particle size distribution.

[0003] Currently, for lithium battery material sintering furnaces, pressure and temperature are two key parameters in the sintering control process. Existing technologies mainly employ single-variable control methods for these two parameters, resulting in poor stability of the furnace environment and difficulty in ensuring the consistency of lithium battery materials. In the variable control process, existing technologies mostly use PID control aimed at parameter stability, without considering the performance of the material itself, resulting in suboptimal performance of the lithium battery materials. In addition, the heating and cooling systems of existing lithium battery material sintering furnaces mostly use fixed power, failing to achieve dynamic power adjustment based on the real-time heat load of the lithium battery material sintering furnace, resulting in resource waste.

[0004] In summary, existing lithium battery material sintering furnaces still suffer from problems such as low control efficiency, poor adjustment effect, and serious resource waste in the process of controlling the sintering state of lithium battery materials. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a lithium battery material sintering control method, system and lithium battery material sintering furnace. The method can dynamically and adaptively adaptively feedforward compensation coupling the pressure and temperature of the lithium battery material sintering furnace, and fully consider the material properties in the lithium battery material sintering furnace, thereby greatly improving the control effect of the sintering state of lithium battery materials in the lithium battery material sintering furnace, thus solving the above-mentioned problems existing in the prior art.

[0006] In a first aspect, embodiments of the present invention provide a method for controlling the sintering of lithium battery materials, the method being used to control the sintering state of a lithium battery material sintering furnace; the lithium battery material sintering furnace includes at least: a pressure sensor, an infrared temperature imager, an electric heat source, a pressure valve, and a circulating water unit;

[0007] The method includes:

[0008] The control pressure sensor and infrared temperature imager respectively collect the furnace pressure data and temperature characteristic data of the lithium battery material sintering furnace under the current furnace conditions.

[0009] The adjustment parameters for the pressure valve and the electric heating source are determined based on the furnace pressure data and temperature characteristic data, respectively.

[0010] Obtain the property data of materials in the lithium battery material sintering furnace, and use the property data, furnace pressure data and temperature characteristic data to determine the performance parameters of the materials;

[0011] The deviation value of the lithium battery material sintering furnace under the current furnace conditions is determined by using adjustment parameters and performance parameters, and the corresponding compensation control command of the lithium battery material sintering furnace is determined based on the deviation value.

[0012] The target temperature of the lithium battery material sintering furnace is determined based on the combustion stage parameters of the furnace. Compensation control commands are then used to control the electric heat source, pressure valve, and circulating water unit to ensure that the lithium battery material sintering furnace reaches the target temperature.

[0013] Optionally, the steps of controlling the pressure sensor and infrared temperature imager to collect the furnace pressure data and temperature characteristic data corresponding to the current furnace conditions of the lithium battery material sintering furnace include:

[0014] The sampling parameters corresponding to the lithium battery material sintering furnace under the current furnace operating conditions are obtained, and the first sampling frequency corresponding to the pressure sensor and the second sampling frequency corresponding to the infrared temperature imager are determined based on the sampling parameters; wherein, the first sampling frequency is greater than the second sampling frequency.

[0015] The pressure sensor is controlled to collect the corresponding pressure value inside the lithium battery material sintering furnace according to the first sampling frequency, and the infrared temperature imager is controlled to collect the corresponding temperature value inside the lithium battery material sintering furnace according to the second sampling frequency.

[0016] The furnace pressure data is determined based on the pressure change rate and pressure fluctuation variance corresponding to the pressure value, and the temperature characteristic data is determined based on the temperature mean, temperature gradient value and temperature fluctuation variance corresponding to the temperature value.

[0017] Optionally, the steps of determining the adjustment parameters corresponding to the pressure valve and the electric heat source based on furnace pressure data and temperature characteristic data respectively include:

[0018] Obtain the data acquisition duration and data acquisition step size corresponding to the lithium battery material sintering furnace under the current furnace operating conditions, and use the data acquisition duration and data acquisition step size to determine the corresponding sliding time window of the lithium battery material sintering furnace;

[0019] The pressure and temperature characteristic data inside the furnace are extracted using a sliding time window, and the pressure difference between adjacent step sizes and the temperature difference between adjacent step sizes are determined based on the extracted data.

[0020] The opening adjustment value of the pneumatic valve is determined based on the pressure difference, and the first coupling coefficient of the pneumatic valve is determined based on the opening adjustment value.

[0021] The power adjustment value corresponding to the electric heat source is determined based on the temperature difference, and the second coupling coefficient corresponding to the electric heat source is determined based on the power adjustment value.

[0022] Based on the first coupling coefficient and the second coupling coefficient, the coupling equation corresponding to the lithium battery material sintering furnace under the current furnace conditions is constructed, and the first coupling coefficient and the second coupling coefficient in the coupling equation are updated in real time using the least squares method.

[0023] The first adjustment parameter corresponding to the air pressure valve is determined based on the updated first coupling coefficient, and the second adjustment parameter corresponding to the electric heat source is determined based on the updated second coupling coefficient.

[0024] Optionally, the step of constructing the coupling equation corresponding to the lithium battery material sintering furnace under the current furnace operating conditions based on the first coupling coefficient and the second coupling coefficient, and updating the first coupling coefficient and the second coupling coefficient in the coupling equation in real time using the least squares method, includes:

[0025] Based on the first coupling coefficient, the second coupling coefficient, the pressure difference, the temperature difference, the opening adjustment value, and the power adjustment value, a coupling equation is constructed for the lithium battery material sintering furnace under the current furnace operating conditions; the coupling equation is: ;in, The first coupling coefficient; This is the second coupling coefficient; This is the pressure difference; This is the temperature difference value; This is the opening adjustment value; This is the power adjustment value; This is the first self-actuating coefficient corresponding to the pneumatic valve; This is the second self-actualization coefficient corresponding to the electric heat source;

[0026] The pressure and temperature differences are updated in real time through a sliding time window, and the updated pressure and temperature differences are used to update the coupling equations.

[0027] The first and second coupling coefficients in the updated coupling equations are solved in real time using the least squares method.

[0028] Optionally, the step of acquiring property data of materials in a lithium battery material sintering furnace and determining the material's performance parameters using the property data, furnace pressure data, and temperature characteristic data includes:

[0029] The material inside the lithium battery material sintering furnace under the current furnace conditions is obtained, the corresponding particle size, doping elements and compaction density of the material are determined, and the property data of the material are determined based on the particle size, doping elements and compaction density.

[0030] The association model corresponding to the material is determined using attribute data, and the furnace pressure data and temperature characteristic data are input into the association model;

[0031] Based on the pressure change rate corresponding to the furnace pressure data, the temperature field distribution corresponding to the temperature characteristic data, and the holding time, the correlation model is controlled to output the predicted values ​​of the specific capacity and cycle life of the material.

[0032] The performance parameters of the material are determined using the predicted values ​​of specific capacity and cycle life.

[0033] Optionally, the steps of determining the deviation value of the lithium battery material sintering furnace under the current furnace operating conditions using adjustment parameters and performance parameters, and determining the corresponding compensation control command for the lithium battery material sintering furnace based on the deviation value, include:

[0034] Obtain the actual adjustment parameters of the gas pressure valve and electric heat source under the current furnace operating conditions, and obtain the performance standard parameters of the material.

[0035] Based on the first deviation value between the adjustment parameter and the actual adjustment parameter and the second deviation value between the performance parameter and the performance standard parameter, determine the deviation value corresponding to the lithium battery material sintering furnace under the current furnace conditions.

[0036] The reward function is determined using the pressure deviation, temperature deviation, and specific capacity deviation values ​​contained in the deviation values;

[0037] The PID control command corresponding to the actual adjustment parameter is determined by the deviation value, and the reward value corresponding to the performance standard parameter is determined by the reward function.

[0038] The actual adjustment parameters are updated using PID control instructions, and the reward value is updated in real time using the updated actual adjustment parameters.

[0039] When the reward value meets the preset threshold condition, the compensation control command corresponding to the lithium battery material sintering furnace is determined using the current actual adjustment parameters.

[0040] Optionally, the target temperature for the lithium battery material sintering furnace is determined based on the combustion stage parameters of the sintering furnace, including:

[0041] Obtain the combustion stage parameters of the lithium battery material sintering furnace under the current furnace conditions during the heating and holding stages;

[0042] Determine the heat absorption of materials and the heat dissipation of the furnace body for the lithium battery material sintering furnace based on the combustion stage parameters.

[0043] The target temperature for the lithium battery material sintering furnace is determined by utilizing the heat absorption of the material and the heat dissipation of the furnace body.

[0044] Optionally, compensation control commands are used to control the electric heating source, pressure valve, and circulating water unit respectively, so that the lithium battery material sintering furnace reaches the target temperature, including:

[0045] Obtain the heat growth rate corresponding to the heat absorption of the material at the target temperature and the heat of the circulating water corresponding to the heat dissipation of the furnace body;

[0046] The first control parameters corresponding to the electric heat source and the pressure valve when the heat growth rate is satisfied are determined by the compensation control command;

[0047] The second control parameter of the circulating water unit is determined by the compensation control command when the circulating water meets the requirement of carrying heat.

[0048] The sintering state of the lithium battery material sintering furnace is controlled using the first control parameter and the second control parameter.

[0049] Secondly, the present invention provides a control system for a lithium battery material sintering furnace, which is used to control the sintering state of the lithium battery material sintering furnace; the lithium battery material sintering furnace includes at least: a pressure sensor, an infrared temperature imager, an electric heat source, a pressure valve and a circulating water unit;

[0050] The system includes:

[0051] The data acquisition unit is used to control the pressure sensor and the infrared temperature imager to collect the furnace pressure data and temperature characteristic data of the lithium battery material sintering furnace under the current furnace conditions.

[0052] The adjustment parameter determination unit is used to determine the adjustment parameters corresponding to the pressure valve and the electric heat source based on the furnace pressure data and temperature characteristic data, respectively.

[0053] The performance parameter determination unit is used to acquire the property data of the material in the lithium battery material sintering furnace, and to determine the performance parameters of the material using the property data, furnace pressure data and temperature characteristic data.

[0054] The compensation control command determination unit is used to determine the deviation value of the lithium battery material sintering furnace under the current furnace conditions using adjustment parameters and performance parameters, and to determine the corresponding compensation control command of the lithium battery material sintering furnace based on the deviation value.

[0055] The sintering control execution unit is used to determine the target temperature of the lithium battery material sintering furnace according to the combustion stage parameters of the lithium battery material sintering furnace, and to use compensation control commands to control the electric heat source, the gas pressure valve and the circulating water unit respectively, so that the lithium battery material sintering furnace reaches the target temperature.

[0056] Thirdly, the present invention also provides a lithium battery material sintering furnace, which includes at least: a pressure sensor, an infrared temperature imager, an electric heat source, a pressure valve, a circulating water unit, and a control module; wherein the control module is connected to the pressure sensor, the infrared temperature imager, the electric heat source, the pressure valve, and the circulating water unit respectively.

[0057] The control module is located in the edge computing device. The control module includes a processor and a memory. The memory stores computer-executable instructions that can be executed by the processor. The processor executes the computer-executable instructions to implement the steps of the lithium battery material sintering control method provided in the first aspect.

[0058] The present invention provides a lithium battery material sintering control method, system and lithium battery material sintering furnace, the lithium battery material sintering furnace comprising at least: a pressure sensor, an infrared temperature imager, an electric heat source, a pressure valve and a circulating water unit. In controlling the sintering state of the lithium battery material sintering furnace, firstly, pressure sensors and infrared temperature imagers are used to collect furnace pressure and temperature characteristic data under the current furnace conditions. Then, based on the furnace pressure and temperature characteristic data, the adjustment parameters for the pressure valve and the electric heat source are determined. Next, the property data of the materials in the lithium battery material sintering furnace are acquired, and the performance parameters of the materials are determined using the property data, furnace pressure data, and temperature characteristic data. Then, the deviation value of the lithium battery material sintering furnace under the current furnace conditions is determined using the adjustment parameters and performance parameters, and the corresponding compensation control command is determined based on the deviation value. Finally, the target temperature of the lithium battery material sintering furnace is determined based on the combustion stage parameters, and the compensation control command is used to control the electric heat source, pressure valve, and circulating water unit to ensure that the lithium battery material sintering furnace reaches the target temperature. This method can dynamically and adaptively feedforward compensate and couple the pressure and temperature of the lithium battery material sintering furnace, and fully consider the material properties in the lithium battery material sintering furnace, thus greatly improving the control effect of the sintering state of lithium battery materials in the lithium battery material sintering furnace.

[0059] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0060] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0061] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0062] Figure 1 A flowchart of a lithium battery material sintering control method provided in an embodiment of the present invention;

[0063] Figure 2 This is a flowchart of step S101 in a lithium battery material sintering control method provided in an embodiment of the present invention;

[0064] Figure 3 This is a flowchart of step S102 in a lithium battery material sintering control method provided in an embodiment of the present invention;

[0065] Figure 4 This is a flowchart of step S305 in a lithium battery material sintering control method provided in an embodiment of the present invention;

[0066] Figure 5 This is a flowchart of step S103 in a lithium battery material sintering control method provided in an embodiment of the present invention;

[0067] Figure 6 This is a flowchart of step S104 in a lithium battery material sintering control method provided in an embodiment of the present invention;

[0068] Figure 7 In step S105 of the lithium battery material sintering control method provided in this embodiment of the invention, a flowchart is provided for determining the target temperature of the lithium battery material sintering furnace based on the combustion stage parameters corresponding to the lithium battery material sintering furnace.

[0069] Figure 8 In step S105 of the lithium battery material sintering control method provided in this embodiment of the invention, a flowchart is shown in which the electric heating source, the air pressure valve and the circulating water unit are controlled by compensation control commands respectively, so that the lithium battery material sintering furnace reaches the target temperature.

[0070] Figure 9 This is a schematic diagram of a lithium battery material sintering control system provided in an embodiment of the present invention;

[0071] Figure 10 This is a schematic diagram of the structure of a control module in a lithium battery material sintering furnace provided in an embodiment of the present invention.

[0072] icon:

[0073] 910 - Data acquisition unit; 920 - Adjustment parameter determination unit; 930 - Performance parameter determination unit; 940 - Compensation control command determination unit; 950 - Sintering control execution unit;

[0074] 101 - Processor; 102 - Memory; 103 - Bus; 104 - Communication interface. Detailed Implementation

[0075] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0076] To facilitate understanding of this embodiment, a lithium battery material sintering control method disclosed in this invention will first be described in detail. Specifically, the lithium battery material sintering furnace in this method includes at least: a pressure sensor, an infrared temperature imager, an electric heat source, a pressure valve, and a circulating water unit.

[0077] Based on this, in the process of controlling the sintering state of lithium battery materials in the lithium battery material sintering furnace, the method is as follows: Figure 1 As shown, it includes:

[0078] Step S101: Control the pressure sensor and infrared temperature imager to collect the furnace pressure data and temperature characteristic data of the lithium battery material sintering furnace under the current furnace conditions.

[0079] This step forms the basis of the control process's perception. Its core is acquiring key data reflecting the stability of the sintering furnace's operating conditions through dedicated sensors, ensuring the data's real-time accuracy and comprehensiveness. Furnace pressure data acquisition involves pressure sensors (typically positioned at the top, middle, and near the exhaust port to avoid single-point data deviation) monitoring the furnace pressure in real time. Recorded data includes the current absolute pressure and pressure fluctuation amplitude, used to determine the stability of the furnace atmosphere. Temperature characteristic data acquisition involves an infrared temperature imager scanning the entire furnace cavity in real time. This not only collects the average furnace temperature but also focuses on acquiring temperature distribution characteristics (such as the temperature difference between the material's center and surface, and the temperature uniformity in different areas of the furnace), preventing uneven sintering due to localized overheating or insufficient temperature.

[0080] Step S102: Determine the adjustment parameters corresponding to the pressure valve and the electric heat source based on the furnace pressure data and temperature characteristic data respectively.

[0081] This step is the initial response of the control process. It is necessary to deduce the specific adjustment direction and amplitude of the core actuators (pneumatic valve, electric heating source) based on the real-time data collected by S101 to ensure that the operating conditions approach the ideal range.

[0082] The process of determining the adjustment parameters of the pressure valve is based on the pressure data inside the furnace. For example, if the collected pressure value is higher than the target pressure required by the sintering process, the opening increment of the pressure valve is calculated; if the pressure is lower than the target value, the opening reduction is calculated. The adjustment parameters need to take into account both the pressure deviation (the larger the deviation, the larger the opening adjustment range) and the pressure change rate (to avoid sudden changes in opening causing a sudden drop / rise in pressure).

[0083] The process of determining the adjustment parameters of the electric heating source is based on temperature characteristic data. For example, if the average temperature inside the furnace is lower than the target temperature, or the local temperature uniformity is not up to standard, the power adjustment value of the electric heating source is calculated. Specifically, the power of the electric heating source corresponding to the low temperature area is increased, while the power of the electric heating source corresponding to the high temperature area is appropriately reduced to ensure that the furnace temperature is both up to standard and uniform after adjustment.

[0084] Step S103: Obtain the property data of the material in the lithium battery material sintering furnace, and use the property data, furnace pressure data and temperature characteristic data to determine the performance parameters of the material.

[0085] This step involves quality feedback during process control. It requires incorporating the material's inherent characteristics and comprehensively analyzing operating data to determine the current sintering quality, avoiding focusing solely on equipment status while neglecting the material itself. Material attribute data may include parameters such as particle size, doping elements, and compaction density. Based on this attribute data, combined with the furnace pressure of S101 (affecting the material's redox reaction) and temperature characteristics (affecting grain growth and densification), the key performance parameters of the current material are calculated using a preset algorithm model (such as a machine learning model or empirical formula). These parameters directly determine the final electrochemical performance of the lithium battery material (such as capacity and cycle life).

[0086] Step S104: Determine the deviation value of the lithium battery material sintering furnace under the current furnace conditions using adjustment parameters and performance parameters, and determine the corresponding compensation control command for the lithium battery material sintering furnace based on the deviation value.

[0087] This step involves precise correction of the control process. It requires comparing the deviation between the actual and ideal states to generate targeted compensation instructions, preventing the equipment from accumulating deviations when operating according to the initial adjustment parameters. The determination of the deviation value requires calculating the total deviation by considering two types of deviations: first, the equipment adjustment deviation (the difference between the adjustment parameters determined in S102 and the ideal adjustment parameters); and second, the material performance deviation (the difference between the performance parameters calculated in S103 and the target performance parameters). Subsequently, the total deviation value for the current operating condition can be obtained through relevant calculations (such as weighted calculations). During the generation of compensation control instructions, specific compensation instructions are generated based on the magnitude and direction of the total deviation value. For example, if the total deviation stems from "low pressure leading to substandard performance parameters," the compensation instruction would be "reduce the opening of the pressure valve by another 10%, while maintaining the current power of the electric heating source"; if the deviation stems from "low local temperature leading to small grain size," the compensation instruction would be "increase the power of the electric heating source in the corresponding area by 5%, and extend the heat preservation time by 5 minutes," ensuring that the instructions can directly drive the equipment to execute.

[0088] Step S105: Determine the target temperature of the lithium battery material sintering furnace according to the combustion stage parameters of the lithium battery material sintering furnace, and use compensation control commands to control the electric heat source, air pressure valve and circulating water unit respectively, so that the lithium battery material sintering furnace reaches the target temperature.

[0089] This step is the final execution of the control process. The target temperature needs to be set according to the stage characteristics of the sintering process, and the three core units are controlled in coordination through compensation commands to ensure that the working conditions inside the furnace are stable and reach the target state, while taking into account both sintering efficiency and material quality.

[0090] The process of determining the target temperature first involves obtaining the combustion stage parameters of the lithium battery material sintering furnace, i.e., the current sintering stage. For example, lithium battery material sintering typically consists of three stages: a preheating stage (target temperature 200-500℃, used for dehydration and organic matter removal), a isothermal sintering stage (target temperature 800-1200℃, core densification stage), and a cooling stage (target temperature drops from the sintering temperature to room temperature; slow cooling is necessary to prevent material cracking). Based on the process requirements of different stages, the precise target temperature for the current stage is determined.

[0091] Then, based on the compensation control commands of S104, the three major execution units are coordinated and adjusted. For the control process of the electric heating source, the power is adjusted according to the commands (e.g., increasing power during the heating phase, stabilizing power during the constant temperature phase, and decreasing power during the cooling phase) to ensure that the furnace temperature approaches the target temperature. Simultaneously, real-time feedback from the infrared temperature imager is used for fine-tuning to avoid overheating. For the control process of the pressure valve, the opening degree can be adjusted according to the commands to maintain stable furnace pressure (e.g., slightly opening for venting during the preheating phase and precisely maintaining pressure during the constant temperature phase). Combined with closed-loop correction from the pressure sensor data, the pressure deviation is ensured to be controlled within ±0.01MPa. For the control process of the circulating water unit, the flow rate and inlet temperature of the circulating water are adjusted according to the commands to prevent excessively rapid cooling that could cause micro-cracks in the material. Simultaneously, during the constant temperature phase, it can assist in cooling the furnace wall to prevent overheating of the furnace body.

[0092] Optionally, step S101 involves controlling the pressure sensor and infrared temperature imager to collect the furnace pressure data and temperature characteristic data corresponding to the current furnace conditions of the lithium battery material sintering furnace, as follows: Figure 2 As shown, it includes:

[0093] Step S201: Obtain the sampling parameters corresponding to the lithium battery material sintering furnace under the current furnace operating conditions, and use the sampling parameters to determine the first sampling frequency corresponding to the pressure sensor and the second sampling frequency corresponding to the infrared temperature imager.

[0094] First, sampling parameters corresponding to the current operating conditions inside the lithium battery material sintering furnace are collected (such as the sintering stage, the approximate temperature range inside the furnace, and the pressure stability). Then, based on these sampling parameters, the first sampling frequency of the pressure sensor and the second sampling frequency of the infrared temperature imager are determined accordingly. The core of this differentiated frequency setting is to match the data timeliness requirements of different operating conditions. For example, during periods of rapid temperature or pressure change (such as the preheating period), the sampling frequency is increased to capture subtle changes; while during the stable isothermal phase, the frequency can be appropriately reduced to decrease data redundancy.

[0095] Step S202: Control the pressure sensor to collect the corresponding pressure value inside the lithium battery material sintering furnace according to the first sampling frequency, and control the infrared temperature imager to collect the corresponding temperature value inside the lithium battery material sintering furnace according to the second sampling frequency.

[0096] Then, according to the first sampling frequency determined in step S201, the pressure sensor is controlled to continuously collect the raw pressure values ​​inside the furnace (usually covering the pressure at different locations inside the furnace to avoid single-point data deviation); simultaneously, according to the second sampling frequency, the infrared temperature imager is controlled to scan the entire furnace area (including the material area, furnace wall heating zone, etc.) and collect the raw temperature values ​​of each area. This step ensures the real-time and comprehensiveness of pressure and temperature data, providing the original basis for subsequent feature extraction.

[0097] Step S203: Determine the furnace pressure data based on the pressure change rate and pressure fluctuation variance corresponding to the pressure value, and determine the temperature characteristic data based on the temperature mean, temperature gradient value and temperature fluctuation variance corresponding to the temperature value.

[0098] The collected raw pressure values ​​are processed by calculating the pressure change rate (reflecting the pressure's rise and fall over time) and pressure fluctuation variance (reflecting pressure stability) to comprehensively determine the furnace pressure data. The raw temperature values ​​are analyzed by calculating the temperature mean (reflecting the overall temperature level inside the furnace), temperature gradient (reflecting the temperature difference between different areas, demonstrating temperature uniformity), and temperature fluctuation variance (reflecting the degree of temperature stability over time) to comprehensively determine temperature characteristic data. These characteristic data more accurately reflect the essence of the furnace's operating conditions than the raw values, providing effective input for subsequent control and regulation.

[0099] Optionally, step S102, which determines the adjustment parameters corresponding to the pressure valve and the electric heat source based on the furnace pressure data and temperature characteristic data, is as follows: Figure 3 As shown, it includes:

[0100] Step S301: Obtain the data acquisition duration and data acquisition step size corresponding to the lithium battery material sintering furnace under the current furnace operating conditions, and use the data acquisition duration and data acquisition step size to determine the sliding time window corresponding to the lithium battery material sintering furnace;

[0101] Step S302: Use a sliding time window to extract the furnace pressure data and temperature characteristic data, and determine the pressure difference corresponding to the furnace pressure data and the temperature difference corresponding to the temperature characteristic data under adjacent step sizes based on the extracted data.

[0102] Step S303: Determine the opening adjustment value corresponding to the pneumatic valve based on the pressure difference value, and determine the first coupling coefficient corresponding to the pneumatic valve based on the opening adjustment value;

[0103] Step S304: Determine the power adjustment value corresponding to the electric heat source based on the temperature difference, and determine the second coupling coefficient corresponding to the electric heat source based on the power adjustment value;

[0104] Step S305: Construct the coupling equation corresponding to the lithium battery material sintering furnace under the current furnace conditions based on the first coupling coefficient and the second coupling coefficient, and update the first coupling coefficient and the second coupling coefficient in the coupling equation in real time using the least squares method.

[0105] Step S306: Determine the first adjustment parameter corresponding to the air pressure valve based on the updated first coupling coefficient, and determine the second adjustment parameter corresponding to the electric heat source based on the updated second coupling coefficient.

[0106] In the above process, the pressure sensor acquires the furnace pressure P at a sampling frequency of 1 kHz, and the infrared temperature imager outputs the temperature field matrix T(x,y,z,t) at a frame rate of 50 Hz, extracting the mean value of the temperature field. ,gradient Fluctuation and variance As a temperature feature, the sliding time window has a length of 30 seconds and a step size of 5 seconds. This sliding window is then used to extract pressure and temperature feature data from the furnace, thereby obtaining the pressure difference corresponding to adjacent step sizes k. and temperature difference .

[0107] Then based on the pressure difference Determine the opening adjustment value corresponding to the air pressure valve. And based on the opening adjustment value Determine the first coupling coefficient corresponding to the pneumatic valve. Then based on the temperature difference Determine the power adjustment value corresponding to the electric heat source. And based on power adjustment value Determine the second coupling coefficient corresponding to the electric heat source. .

[0108] Optionally, step S305 involves constructing the coupling equations corresponding to the lithium battery material sintering furnace under the current furnace conditions based on the first and second coupling coefficients, and updating the first and second coupling coefficients in the coupling equations in real time using the least squares method, as follows: Figure 4 As shown, it includes:

[0109] Step S401: Construct the coupling equation corresponding to the lithium battery material sintering furnace under the current furnace conditions based on the first coupling coefficient, the second coupling coefficient, the pressure difference, the temperature difference, the opening adjustment value, and the power adjustment value.

[0110] Step S402: Update the pressure difference and temperature difference in real time through a sliding time window, and update the coupling equation using the updated pressure difference and temperature difference;

[0111] Step S403: Solve the first and second coupling coefficients in the updated coupling equations in real time using the least squares method.

[0112] Specifically, the coupling equation is: ;in, The first coupling coefficient; This is the second coupling coefficient; This is the pressure difference; This is the temperature difference value; This is the opening adjustment value; This is the power adjustment value; This is the first self-actuating coefficient corresponding to the pneumatic valve; This is the second self-actuating coefficient corresponding to the electric heat source.

[0113] After each window slide, the coefficient matrix K can be updated using a recursive formula, specifically the following formula: ;in, (where y is the data matrix and y is the output vector).

[0114] Based on the updated coupling coefficient, pressure and temperature control are decoupled into independent control channels:

[0115] Pressure channel: determined by the opening degree of the pneumatic valve Compensation for pressure deviation, control rate = ( (For pressure controller gain);

[0116] Temperature channel: via electric heating power Compensation for temperature deviation, control rate = ( (For temperature controller gain).

[0117] Optionally, step S103 involves acquiring the property data of the material in the lithium battery material sintering furnace and determining the material's performance parameters using the property data, furnace pressure data, and temperature characteristic data. Figure 5 As shown, it includes:

[0118] Step S501: Obtain the material in the lithium battery material sintering furnace under the current furnace working conditions, determine the corresponding particle size, doping elements and compaction density of the material, and determine the property data of the material based on the particle size, doping elements and compaction density;

[0119] Step S502: Use attribute data to determine the correlation model corresponding to the material, and input the furnace pressure data and temperature characteristic data into the correlation model;

[0120] Step S503: Based on the pressure change rate corresponding to the furnace pressure data, the temperature field distribution corresponding to the temperature characteristic data, and the holding time, control the correlation model to output the predicted values ​​of the specific capacity and cycle life of the material.

[0121] Step S504: Determine the material's performance parameters using the predicted specific capacity and cycle life values.

[0122] The above process can be realized using a material property-process parameter correlation model. The inputs of the material property-process parameter correlation model are the temperature field distribution, pressure change rate and holding time of the infrared temperature imager, and the outputs are the specific capacity C and the predicted cycle life N of the material.

[0123] The model structure and training process are as follows:

[0124] The input process parameters may include: heating rate Insulation temperature Insulation pressure Cooling rate ( ), heat preservation time ( );

[0125] Process characteristics may include: temperature field gradient ( ), pressure fluctuation variance ( ), Electric heating power fluctuation ( );

[0126] Material properties may include: particle size ( ), doping elements (M, such as Al, Mn content), compaction density ( ).

[0127] The model employs a fusion of a stacked autoencoder and a random forest. The autoencoder reduces the dimensionality of high-dimensional inputs (such as the temperature field matrix) to extract 20 core features (such as the spatial distribution entropy of the temperature field and the time-series trend of pressure). The random forest uses these reduced features as input to train a multi-output regression model to predict material properties: specific capacity (C), first-order coulomb efficiency (C...). ), cycle life ( ).

[0128] During the training and updating process, more than 5,000 sets of sintering data (including material properties, process parameters, process characteristics, and final performance test values) were collected offline. The data were divided into 8:2 ratios for training and validating the model, and the number and maximum depth of decision trees in the random forest were optimized. In the online phase, after each batch of sintering was completed, the actual performance test values ​​were fed back to the model. The decision boundary of the random forest was updated through incremental learning to ensure the generalization of the model.

[0129] Finally, based on the pressure change rate corresponding to the furnace pressure data, the temperature field distribution corresponding to the temperature characteristic data, and the holding time, the correlation model is controlled to output the predicted values ​​of the specific capacity and cycle life of the material, and then the performance parameters of the material are determined by using the predicted values ​​of specific capacity and cycle life.

[0130] Optionally, step S104 involves determining the deviation value of the lithium battery material sintering furnace under the current furnace operating conditions using adjustment parameters and performance parameters, and determining the corresponding compensation control command for the lithium battery material sintering furnace based on the deviation value. Figure 6 As shown, it includes:

[0131] Step S601: Obtain the actual adjustment parameters of the gas pressure valve and electric heat source under the current furnace operating conditions, and obtain the performance standard parameters of the material.

[0132] Step S602: Determine the deviation value of the lithium battery material sintering furnace under the current furnace conditions based on the first deviation value between the adjustment parameter and the actual adjustment parameter and the second deviation value between the performance parameter and the performance standard parameter.

[0133] Step S603: Determine the reward function using the pressure deviation value, temperature deviation value, and specific capacity deviation value contained in the deviation value;

[0134] Step S604: Determine the PID control command corresponding to the actual adjustment parameter through the deviation value, and determine the reward value corresponding to the performance standard parameter through the reward function;

[0135] Step S605: Update the actual adjustment parameters using PID control instructions, and update the reward value in real time using the updated actual adjustment parameters;

[0136] Step S606: When the reward value meets the preset threshold condition, the compensation control command corresponding to the lithium battery material sintering furnace is determined using the current actual adjustment parameters.

[0137] The above process can employ a hybrid control logic based on reinforcement learning, incorporating PID fast response to determine the compensation control command. Specifically, it first obtains the actual adjustment parameters corresponding to the pressure valve and the electric heating source under the current furnace operating conditions. , And obtain the corresponding performance standard parameters of the material. Then, using the pressure deviation value ( ), temperature deviation value ( Determine the first deviation between the adjustment parameter and the actual adjustment parameter, and use the performance standard parameter. Determine the second deviation value corresponding to the performance parameter and the performance standard parameter. .

[0138] The PID parameters involved in the PID control process are: Predictive control step size: (Range: 5-15 steps, for predicting the system state in the next 5-15 seconds). The reward function used can be: ;in, , , , The weight can be dynamically adjusted; energy consumption ratio = real-time power / rated power.

[0139] In the specific implementation, a deep deterministic policy gradient algorithm can be used to construct an Actor-Critic network. The Actor network takes the state as input and outputs the optimal action (PID parameter adjustment + prediction step size). The Critic network evaluates the long-term benefits of actions to guide the Actor in optimizing the strategy. Specifically, the control strategy can be updated every 10 seconds to adapt the PID parameters and prediction step size to the current operating conditions (e.g., increasing the step size during the heating phase). To accelerate the response, the insulation phase is reduced. To suppress overshoot).

[0140] Optionally, the target temperature for the lithium battery material sintering furnace can be determined based on the combustion stage parameters of the sintering furnace, such as... Figure 7 As shown, it includes:

[0141] Step S701: Obtain the combustion stage parameters corresponding to the heating and holding stages of the lithium battery material sintering furnace under the current furnace operating conditions.

[0142] First, under the current furnace operating conditions, the combustion stage parameters of the lithium battery material sintering furnace are collected for the heating stage (e.g., the process of rising from room temperature to sintering temperature) and the holding stage (e.g., the period of maintaining a stable sintering temperature). These parameters specifically include: the preset duration of each stage (e.g., the heating stage requires 2 hours, and the holding stage requires 4 hours), the current precise stage node (e.g., the heating stage has been going on for 1.5 hours), the corresponding process requirements for this stage (e.g., the upper limit of the heating rate in the heating stage is 5℃ / min, and the temperature stability range in the holding stage is ±2℃), and the stage characteristic parameters after correction based on the real-time operating conditions such as the current furnace pressure and material state (e.g., the heating stage needs to be extended by 0.5 hours due to the increase in the amount of material loaded into the furnace).

[0143] Step S702: Determine the heat absorption of the material and the heat dissipation of the furnace body corresponding to the lithium battery material sintering furnace based on the combustion stage parameters.

[0144] Based on the combustion stage parameters obtained in step S701, calculate the key heat indicators for each of the two stages:

[0145] Material heat absorption: This needs to be calculated based on the temperature requirements in the stage parameters (e.g., the heating stage needs to rise from 200℃ to 1000℃, and the heat preservation stage needs to maintain 1000℃), material properties (e.g., specific heat capacity, mass, current temperature), and stage duration. Furnace heat dissipation: This is calculated based on the temperature level in the stage parameters (e.g., heat dissipation is faster in high-temperature stages), furnace structure (e.g., insulation layer thickness, material thermal conductivity), and sealing performance (e.g., pressure conditions affect heat exchange efficiency). Generally, the heat dissipation in the high-temperature heat preservation stage is higher than that in the low-temperature heating stage (e.g., the heat dissipation of the furnace body at 1000℃ may be 2-3 times that at 500℃).

[0146] Step S703: Determine the target temperature for the lithium battery material sintering furnace by utilizing the heat absorption of the material and the heat dissipation of the furnace body.

[0147] Based on the principle of energy balance, the target temperature is determined by combining the heat absorbed by the material and the heat dissipation of the furnace body. The target temperature must ensure that the heat input from the electric heating source can simultaneously meet the heat absorbed by the material (to ensure that the material reaches the sintering state required by the process) and compensate for the heat dissipation of the furnace body (to avoid the temperature inside the furnace dropping due to heat dissipation).

[0148] Optionally, compensation control commands can be used to control the electric heating source, pressure valve, and circulating water unit separately, so that the lithium battery material sintering furnace reaches the target temperature, such as... Figure 8 As shown, it includes:

[0149] Step S801: Obtain the heat growth rate corresponding to the heat absorption of the material at the target temperature and the heat of the circulating water corresponding to the heat dissipation of the furnace body.

[0150] Under the target temperature conditions, two core thermal indicators are first obtained:

[0151] Heat growth rate: This refers to the amount of heat absorbed per unit time (e.g., kJ / min) required for a material to maintain or reach a target temperature. This rate is directly related to the material type, current temperature, target temperature difference, and sintering stage (e.g., rapid heat absorption is required during the heating period, and stable heat absorption is required during the heat preservation period), reflecting the energy demand for material heating or heat preservation.

[0152] Heat carried by circulating water: This refers to the heat generated by the furnace body due to heat dissipation at the target temperature, which needs to be carried away by the circulating water system (e.g., kJ / min). This value is related to the furnace body's heat preservation performance, the target temperature (heat dissipation is faster at high temperatures), and the furnace pressure (which affects heat exchange efficiency). It is a key indicator for maintaining the heat balance inside the furnace.

[0153] Step S802: Determine the first control parameters of the electric heat source and the pressure valve when the heat growth rate is satisfied by the compensation control command.

[0154] Based on the compensation control command, the first control parameters for the electric heat source and the pressure valve that can meet the above-mentioned heat growth rate are calculated and determined. For the electric heat source, the parameters may include the power adjustment value (e.g., increasing from the current 80% power to 90%) and the stability fluctuation range of the power output (e.g., ±2%), to ensure that the heat output per unit time matches the heat absorption requirements of the material. For the pressure valve, the parameters may include the opening adjustment value (e.g., adjusting from 30% to 40%) and the pressure maintenance accuracy (e.g., ±0.005MPa). Since the gas pressure inside the furnace directly affects the thermal conductivity of the atmosphere (e.g., heat loss is smaller in an inert gas atmosphere), it is necessary to optimize the heat transfer efficiency through gas pressure regulation to assist the electric heat source in meeting the heat growth rate.

[0155] Step S803: Determine the second control parameter corresponding to the circulating water unit when the circulating water carries heat by means of compensation control command.

[0156] Based on the compensation control instructions, the second control parameters of the circulating water unit that can meet the heat carrying capacity requirements are calculated and determined. Specific parameters may include the circulating water flow rate adjustment value (e.g., increasing from 5L / min to 8L / min, as a higher flow rate results in stronger heat carrying capacity), the inlet water temperature setpoint (e.g., adjusting from 30℃ to 25℃, as lower temperature water has higher heat carrying efficiency), and the stability control of the water flow rate (to avoid fluctuations in flow rate causing sudden changes in heat carrying capacity). These parameters must be precisely matched to the heat carrying capacity of the circulating water to ensure that excess heat emitted by the furnace is carried away in a timely manner, preventing the furnace temperature from exceeding the target value due to heat accumulation.

[0157] Step S804: Control the sintering state of the lithium battery material sintering furnace using the first control parameter and the second control parameter.

[0158] The first control parameters (electric heating source power, pressure valve opening) determined in step S802 are combined with the second control parameters (circulating water flow rate, temperature) determined in step S803 to coordinately regulate the sintering furnace. The electric heating source provides the heat input required by the material, the pressure valve reduces heat loss by optimizing the furnace atmosphere, and the circulating water unit promptly discharges excess heat from the furnace body, forming a closed-loop heat balance of "supply-protection-discharge". During the regulation process, the parameters are dynamically fine-tuned based on real-time feedback from the pressure sensor and infrared temperature imager (e.g., increasing the circulating water flow rate or appropriately reducing the electric heating source power if the temperature is too high), ultimately ensuring that the furnace temperature stabilizes at the target value and guaranteeing the sintering quality of lithium battery materials.

[0159] Specifically, the above process can be achieved by using a heat balance equation to achieve adaptive energy consumption regulation. The heat balance equation is as follows:

[0160] ;

[0161] in, The heat absorbed by the material (through specific heat capacity c, mass m, and temperature change) calculate: =mc ); Heat dissipation for the furnace body (through thermal resistance model) calculate); To transfer heat to the cooling water (through flow rate q, specific heat capacity) Temperature difference calculate: ).

[0162] The dynamic control strategy is as follows: during the heating stage, according to... The growth rate is adjusted by PWM to control the power of the electric heating source (e.g., power = 1.2 × , For heating efficiency, set to 0.85); during the heat preservation stage, when Once stable, the energy-saving mode is triggered, and the electric heating power is reduced accordingly. At the same time, the cooling water volume is reduced through the variable frequency water pump to maintain [the desired cooling level]. In addition, during abnormal handling, when the conductivity monitor detects scale buildup in the circulating water, it automatically switches to the backup cooling circuit and triggers a cleaning program to prevent a sudden drop in cooling efficiency that could lead to a surge in energy consumption.

[0163] As can be seen from the lithium battery material sintering control method mentioned in the above embodiments, this method can employ a feedforward compensated bivariate (pressure, temperature) fully decoupled algorithm, combined with PID control and predictive control, to achieve precise control of pressure and temperature within the sintering furnace. Based on this, a dynamic adaptive bivariate decoupling algorithm and a material performance-process parameter correlation model are innovatively introduced. The PID+predictive control logic is optimized through reinforcement learning, and an adaptive energy consumption adjustment module is added. The dynamic decoupling algorithm can correct the pressure-temperature coupling coefficient in real time, and the energy consumption module dynamically matches heating and cooling efficiencies.

[0164] Corresponding to the lithium battery material sintering control method provided in the foregoing embodiments, this embodiment of the invention provides a lithium battery material sintering control system, which is used to control the sintering state of the lithium battery material sintering furnace; the lithium battery material sintering furnace includes at least: a pressure sensor, an infrared temperature imager, an electric heat source, a pressure valve, and a circulating water unit;

[0165] like Figure 9 As shown, the system includes:

[0166] The data acquisition unit 910 is used to control the pressure sensor and the infrared temperature imager to collect the furnace pressure data and temperature characteristic data of the lithium battery material sintering furnace under the current furnace conditions.

[0167] The adjustment parameter determination unit 920 is used to determine the adjustment parameters corresponding to the pressure valve and the electric heat source based on the furnace pressure data and temperature characteristic data, respectively.

[0168] The performance parameter determination unit 930 is used to acquire the property data of the material in the lithium battery material sintering furnace, and to determine the performance parameters of the material using the property data, furnace pressure data and temperature characteristic data.

[0169] The compensation control command determination unit 940 is used to determine the deviation value of the lithium battery material sintering furnace under the current furnace operating conditions using adjustment parameters and performance parameters, and to determine the corresponding compensation control command of the lithium battery material sintering furnace based on the deviation value.

[0170] The sintering control execution unit 950 is used to determine the target temperature of the lithium battery material sintering furnace according to the combustion stage parameters of the lithium battery material sintering furnace, and to control the electric heat source, the gas pressure valve and the circulating water unit respectively using compensation control commands so that the lithium battery material sintering furnace reaches the target temperature.

[0171] As can be seen from the lithium battery material sintering control system mentioned in the above embodiments, the system can dynamically and adaptively feedforward compensate and couple the pressure and temperature of the lithium battery material sintering furnace, and fully consider the material properties in the lithium battery material sintering furnace, thereby greatly improving the control effect of the sintering state of the lithium battery material in the lithium battery material sintering furnace.

[0172] The lithium battery material sintering control system provided in this embodiment of the invention has the same implementation principle and technical effect as the aforementioned lithium battery material sintering control method embodiment. For the sake of brevity, any parts not mentioned in the system embodiment can be referred to the corresponding content in the aforementioned lithium battery material sintering control method embodiment.

[0173] This embodiment also provides a lithium battery material sintering furnace, which includes at least: a pressure sensor, an infrared temperature imager, an electric heat source, a pressure valve, a circulating water unit, and a control module; wherein the control module is connected to the pressure sensor, the infrared temperature imager, the electric heat source, the pressure valve, and the circulating water unit respectively.

[0174] The control module is located in the edge computing device, and its structural diagram is shown below. Figure 10 As shown, the device includes a processor 101 and a memory 102; wherein, the memory 102 is used to store one or more computer instructions, which are executed by the processor to implement the steps of the above-described lithium battery material sintering control method.

[0175] Figure 10 The lithium battery material sintering furnace shown also includes a bus 103 and a communication interface 104. The processor 101, the communication interface 104 and the memory 102 are connected through the bus 103.

[0176] The memory 102 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device. The bus 103 may be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 10 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0177] The communication interface 104 is used to connect to at least one user terminal and other network units through a network interface, and to send encapsulated IPv4 packets or IPv4 packets to the user terminal through the network interface.

[0178] Processor 101 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 101 or by instructions in software form. The processor 101 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this disclosure. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this disclosure can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 102. The processor 101 reads the information in memory 102 and, in conjunction with its hardware, completes the steps of the method described in the foregoing embodiments.

[0179] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, devices, and methods can be implemented in other ways. The system embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0180] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0181] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0182] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0183] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for controlling the sintering of lithium battery materials, characterized in that, The method is used to control the sintering state of a lithium battery material sintering furnace; the lithium battery material sintering furnace includes at least: a pressure sensor, an infrared temperature imager, an electric heat source, a pressure valve, and a circulating water unit; The method includes: The pressure sensor and the infrared temperature imager are controlled to collect the furnace pressure data and temperature characteristic data of the lithium battery material sintering furnace under the current furnace conditions, respectively. Based on the furnace pressure data and the temperature characteristic data, the adjustment parameters corresponding to the pressure valve and the electric heat source are determined respectively. Obtain the property data of the material in the lithium battery material sintering furnace, and use the property data, the furnace pressure data, and the temperature characteristic data to determine the performance parameters of the material; The deviation value of the lithium battery material sintering furnace under the current furnace conditions is determined using the adjustment parameters and the performance parameters, and the corresponding compensation control command for the lithium battery material sintering furnace is determined based on the deviation value. The target temperature of the lithium battery material sintering furnace is determined based on the combustion stage parameters of the lithium battery material sintering furnace, and the electric heat source, the air pressure valve and the circulating water unit are controlled by the compensation control command respectively, so that the lithium battery material sintering furnace reaches the target temperature.

2. The lithium battery material sintering control method according to claim 1, characterized in that, The steps of controlling the pressure sensor and the infrared temperature imager to respectively collect the furnace pressure data and temperature characteristic data of the lithium battery material sintering furnace under the current furnace operating conditions include: The sampling parameters corresponding to the lithium battery material sintering furnace under the current furnace operating conditions are obtained, and the first sampling frequency corresponding to the pressure sensor and the second sampling frequency corresponding to the infrared temperature imager are determined based on the sampling parameters; wherein, the first sampling frequency is greater than the second sampling frequency. The pressure sensor is controlled to collect the corresponding pressure value inside the lithium battery material sintering furnace according to the first sampling frequency, and the infrared temperature imager is controlled to collect the corresponding temperature value inside the lithium battery material sintering furnace according to the second sampling frequency. The furnace pressure data is determined based on the pressure change rate and pressure fluctuation variance corresponding to the pressure value, and the temperature characteristic data is determined based on the temperature mean, temperature gradient value and temperature fluctuation variance corresponding to the temperature value.

3. The method for controlling the sintering of lithium battery materials according to claim 1, characterized in that, The steps of determining the adjustment parameters corresponding to the pressure valve and the electric heat source based on the furnace pressure data and the temperature characteristic data respectively include: The data acquisition duration and data acquisition step size of the lithium battery material sintering furnace under the current furnace operating conditions are obtained, and the sliding time window corresponding to the lithium battery material sintering furnace is determined by using the data acquisition duration and the data acquisition step size. The sliding time window is used to extract the furnace pressure data and the temperature feature data, and the pressure difference corresponding to the furnace pressure data and the temperature difference corresponding to the temperature feature data at adjacent step sizes are determined based on the extracted data. The opening adjustment value of the pneumatic valve is determined based on the pressure difference, and the first coupling coefficient of the pneumatic valve is determined based on the opening adjustment value. The power adjustment value corresponding to the electric heat source is determined based on the temperature difference, and the second coupling coefficient corresponding to the electric heat source is determined based on the power adjustment value; Based on the first coupling coefficient and the second coupling coefficient, the coupling equation corresponding to the lithium battery material sintering furnace under the current furnace conditions is constructed, and the first coupling coefficient and the second coupling coefficient in the coupling equation are updated in real time using the least squares method; The first adjustment parameter corresponding to the pneumatic valve is determined based on the updated first coupling coefficient, and the second adjustment parameter corresponding to the electric heating source is determined based on the updated second coupling coefficient.

4. The lithium battery material sintering control method according to claim 3, characterized in that, The steps of constructing the coupling equation corresponding to the lithium battery material sintering furnace under the current furnace operating conditions based on the first coupling coefficient and the second coupling coefficient, and updating the first coupling coefficient and the second coupling coefficient in the coupling equation in real time using the least squares method, include: Based on the first coupling coefficient, the second coupling coefficient, the pressure difference, the temperature difference, the opening adjustment value, and the power adjustment value, a coupling equation is constructed for the lithium battery material sintering furnace under the current furnace operating conditions; the coupling equation is: ;in, The first coupling coefficient; This is the second coupling coefficient; The pressure difference value; The temperature difference value; The opening adjustment value; The power adjustment value; This is the first self-actuating coefficient corresponding to the pneumatic valve; This is the second self-actuation coefficient corresponding to the electric heat source; The pressure difference and temperature difference are updated in real time through the sliding time window, and the updated pressure difference and temperature difference are used to update the coupling equation. The first coupling coefficient and the second coupling coefficient in the updated coupling equation are solved in real time using the least squares method.

5. The method for controlling the sintering of lithium battery materials according to claim 1, characterized in that, The step of acquiring property data of the material in the lithium battery material sintering furnace, and determining the performance parameters of the material using the property data, the furnace pressure data, and the temperature characteristic data, includes: The material in the lithium battery material sintering furnace under the current furnace conditions is obtained, the particle size, doping element and compaction density of the material are determined, and the attribute data of the material are determined based on the particle size, the doping element and the compaction density. The association model corresponding to the material is determined using the attribute data, and the furnace pressure data and the temperature characteristic data are input into the association model; Based on the pressure change rate corresponding to the furnace pressure data, the temperature field distribution corresponding to the temperature characteristic data, and the holding time, the correlation model is controlled to output the predicted values ​​of the specific capacity and cycle life of the material. The performance parameters of the material are determined using the specific capacity and the predicted cycle life.

6. The method for controlling the sintering of lithium battery materials according to claim 1, characterized in that, The steps of determining the deviation value of the lithium battery material sintering furnace under the current furnace operating conditions using adjustment parameters and the performance parameters, and determining the corresponding compensation control command for the lithium battery material sintering furnace based on the deviation value, include: Obtain the actual adjustment parameters corresponding to the pressure valve and the electric heat source under the current furnace operating conditions, and obtain the performance standard parameters corresponding to the material; Based on the first deviation value between the adjustment parameter and the actual adjustment parameter and the second deviation value between the performance parameter and the performance standard parameter, the deviation value corresponding to the lithium battery material sintering furnace under the current furnace operating conditions is determined. The reward function is determined using the pressure deviation, temperature deviation, and specific capacity deviation values ​​included in the deviation values; The deviation value is used to determine the PID control command corresponding to the actual adjustment parameter, and the reward value corresponding to the performance standard parameter is determined by the reward function. The actual adjustment parameters are updated using the PID control instructions, and the reward value is updated in real time using the updated actual adjustment parameters. When the reward value meets the preset threshold condition, the compensation control command corresponding to the lithium battery material sintering furnace is determined using the current actual adjustment parameters.

7. The method for controlling the sintering of lithium battery materials according to claim 1, characterized in that, Determining the target temperature of the lithium battery material sintering furnace based on the combustion stage parameters of the lithium battery material sintering furnace includes: Obtain the combustion stage parameters corresponding to the heating and holding stages of the lithium battery material sintering furnace under the current furnace conditions; The heat absorption of the material and the heat dissipation of the furnace body corresponding to the lithium battery material sintering furnace are determined based on the combustion stage parameters. The target temperature corresponding to the lithium battery material sintering furnace is determined by using the heat absorption of the material and the heat dissipation of the furnace body.

8. The method for controlling the sintering of lithium battery materials according to claim 7, characterized in that, The compensation control commands are used to control the electric heat source, the pressure valve, and the circulating water unit respectively, so that the lithium battery material sintering furnace reaches the target temperature, including: Obtain the heat growth rate corresponding to the heat absorption of the material at the target temperature and the heat of the circulating water corresponding to the heat dissipation of the furnace body; The first control parameters of the electric heat source and the air pressure valve are determined by the compensation control command to meet the heat growth rate. The second control parameter of the circulating water unit is determined by the compensation control command when the circulating water meets the requirement of carrying heat. The sintering state of the lithium battery material sintering furnace is controlled using the first control parameter and the second control parameter.

9. A control system for a lithium battery material sintering furnace, characterized in that, The system is used to control the sintering state of a lithium battery material sintering furnace; the lithium battery material sintering furnace includes at least: a pressure sensor, an infrared temperature imager, an electric heat source, a pressure valve, and a circulating water unit; The system includes: The data acquisition unit is used to control the pressure sensor and the infrared temperature imager to respectively acquire the furnace pressure data and temperature characteristic data of the lithium battery material sintering furnace under the current furnace conditions; The adjustment parameter determination unit is used to determine the adjustment parameters corresponding to the pressure valve and the electric heat source based on the furnace pressure data and the temperature characteristic data, respectively. The performance parameter determination unit is used to acquire the property data of the material in the lithium battery material sintering furnace, and to determine the performance parameters of the material using the property data, the furnace pressure data and the temperature characteristic data. The compensation control command determination unit is used to determine the deviation value of the lithium battery material sintering furnace under the current furnace operating conditions using the adjustment parameters and the performance parameters, and to determine the compensation control command corresponding to the lithium battery material sintering furnace based on the deviation value. The sintering control execution unit is used to determine the target temperature of the lithium battery material sintering furnace according to the combustion stage parameters of the lithium battery material sintering furnace, and to control the electric heat source, the gas pressure valve and the circulating water unit respectively using the compensation control command so that the lithium battery material sintering furnace reaches the target temperature.

10. A lithium battery material sintering furnace, characterized in that, The lithium battery material sintering furnace includes at least: a pressure sensor, an infrared temperature imager, an electric heat source, a pressure valve, a circulating water unit, and a control module; wherein the control module is connected to the pressure sensor, the infrared temperature imager, the electric heat source, the pressure valve, and the circulating water unit respectively. The control module is located in an edge computing device. The control module includes a processor and a memory. The memory stores computer-executable instructions that can be executed by the processor. The processor executes the computer-executable instructions to implement the steps of the lithium battery material sintering control method according to any one of claims 1 to 8.

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