Solid-state battery production control method, system, and warm isostatic pressing apparatus

Abstract

This invention provides a solid-state battery production control method, system, and isostatic pressing equipment, relating to the field of solid-state battery production control. The method achieves coordinated and precise control of pressure and temperature during the solid-state battery blank pressing process, improving the uniformity of blank density and the dynamic response performance of the equipment.

Description

Technical Field

[0001] This invention relates to the field of solid-state battery production control, and in particular to a solid-state battery production control method, system, and temperature isostatic pressing equipment. Background Technology

[0002] Thermostatic pressing (WSP) is a core process in solid-state battery production. It densifies the electrodes or electrolyte preforms under isobaric and isothermal conditions by applying uniform pressure and controllable temperature to a pressure-transmitting medium within a sealed cavity. This process directly affects the battery's energy density, cycle life, and interface stability. However, existing WSP equipment still faces the following key challenges in solid-state battery production line applications:

[0003] Insufficient control precision makes it difficult to match the process requirements of solid-state batteries: Solid-state batteries have extremely high requirements for the uniformity of compact density and the quality of interface bonding. However, traditional isostatic pressing equipment mostly uses PID control. PID control relies on a fixed mathematical model and cannot adapt to nonlinear conditions such as fluctuations in the initial density of materials and time-varying heat loss in the cavity during solid-state battery production. At the same time, pressure and temperature control are independent of each other and the coupling relationship between the two is ignored. For example, if the pressure increases, the viscosity of the pressure transmission medium will change, which will affect the heat transfer efficiency and easily lead to local overheating, causing electrolyte decomposition or uneven pressure, causing the compact to crack.

[0004] Traditional fuzzy control rules are rigid, and membership functions are fixed: Some devices have introduced simple fuzzy control, but it still has limitations. Fixed triangular or trapezoidal membership functions cannot adjust sensitivity according to real-time operating conditions. For example, when the deviation changes rapidly, the fixed bandwidth leads to response lag, and when the deviation changes slowly, the fixed center leads to insufficient accuracy. Moreover, the control rules are single-dimensional and do not consider the operating condition compensation of solid-state battery production. The generalization ability of the rules is poor. For example, when the material density is high, higher pressure is required to maintain densification, and when the heat loss is large, the heating power needs to be increased to compensate.

[0005] The contradiction between dynamic response and stability: In order to improve the response speed, traditional control methods mainly adopt the method of increasing the increment of control quantity, which leads to system overshoot; in order to reduce overshoot, the response speed is sacrificed, which cannot meet the process curve requirements of rapid voltage boost, precise voltage holding and smooth cooling of solid-state batteries. Summary of the Invention

[0006] In view of this, the purpose of the present invention is to provide a solid-state battery production control method, system and temperature isostatic pressing equipment. The method achieves precise control of pressure and temperature in the solid-state battery blank pressing process, improves the uniformity of blank density and the dynamic response performance of the equipment, thereby solving the above-mentioned problems existing in the prior art.

[0007] In a first aspect, embodiments of the present invention provide a solid-state battery production control method, which is used to control the pressure and temperature of a thermostatic pressing (SOP) device during the solid-state battery production process; the method includes:

[0008] After initial calibration of the sensors in the temperature isostatic pressing equipment, the corresponding process target parameters of the temperature isostatic pressing equipment are set, and the corresponding fuzzy control parameters of the temperature isostatic pressing equipment are initialized based on the sensors.

[0009] Once the solid-state battery preform is detected to be placed in the high-pressure chamber of the isostatic pressing equipment and the pressure transmission medium is injected and the high-pressure chamber is sealed, the control sensor collects the temperature and pressure values ​​of the pressure transmission medium, and determines the temperature deviation results corresponding to the temperature value and the pressure deviation results corresponding to the pressure value based on the process target parameters.

[0010] The membership functions corresponding to the fuzzy control parameters are determined using the temperature deviation results and pressure deviation results, and the membership functions are used to calculate the membership degrees corresponding to the temperature and pressure values.

[0011] The opening degree of the proportional overflow valve, the power of the heating rod, and the speed of the cooling fan for the thermostatic pressure equipment are determined based on the temperature value, pressure value and their corresponding membership degree.

[0012] The compensation strategy for the thermostatic pressing equipment is determined based on the initial density of the preform and the heat loss of the high-pressure chamber. The control parameters corresponding to the proportional relief valve opening, heating rod power and cooling fan speed are then determined using the compensation strategy.

[0013] The proportional overflow valve, heating rod, and cooling fan in the isostatic pressing equipment are controlled by the control parameters until the preform is pressed.

[0014] Optionally, after initial calibration of the sensors in the warm isostatic pressing (WIP) apparatus, the steps of setting the corresponding process target parameters for the WIP apparatus and initializing the corresponding fuzzy control parameters for the WIP apparatus based on the sensors include:

[0015] Acquire the pressure sensor, temperature sensor and density sensor contained in the isostatic pressing device;

[0016] After performing zero-point calibration and error compensation on the pressure sensor, temperature sensor, and density sensor respectively, the initial calibration of the sensors is completed.

[0017] The target pressure, target temperature, and pressing time of the temperature isostatic pressing equipment are determined by the property parameters corresponding to the solid-state battery, and the process target parameters of the temperature isostatic pressing equipment are determined based on the target pressure, target temperature, and pressing time.

[0018] The membership function corresponding to the isostatic pressure equipment is determined based on the sensor values ​​collected by the pressure sensor and temperature sensor, and the fuzzy control parameters corresponding to the isostatic pressure equipment are determined based on the center parameter, bandwidth parameter and adjustment coefficient corresponding to the membership function.

[0019] Optionally, the control sensor collects the temperature and pressure values ​​of the pressure-transmitting medium, and determines the temperature deviation corresponding to the temperature value and the pressure deviation corresponding to the pressure value based on the process target parameters, including:

[0020] The target pressure and target temperature values ​​for the isostatic pressing equipment are determined by the property parameters corresponding to the solid-state battery.

[0021] After the control sensor sequentially collects the temperature and pressure values ​​of the pressure transmission medium according to the preset acquisition time, it calculates and obtains the temperature deviation between the temperature value and the target temperature value, as well as the pressure deviation between the pressure value and the target pressure value.

[0022] The temperature deviation change rate corresponding to the temperature deviation value is obtained based on the collection time, and the temperature deviation result corresponding to the temperature value is determined based on the temperature deviation change rate.

[0023] The pressure deviation change rate corresponding to the pressure deviation value is obtained based on the collection time, and the pressure deviation result corresponding to the pressure value is determined based on the pressure deviation change rate.

[0024] Optionally, the steps of determining the membership functions corresponding to the fuzzy control parameters using the temperature deviation results and pressure deviation results, and calculating the membership degrees corresponding to the temperature and pressure values ​​using the membership functions, include:

[0025] A fuzzy set corresponding to the thermostatic pressure device is constructed based on the threshold intervals corresponding to the temperature deviation value, pressure deviation value, temperature deviation change rate, and pressure deviation change rate.

[0026] Determine the center adjustment coefficient corresponding to the membership function based on the temperature deviation results, pressure deviation results, and the center data of the fuzzy set;

[0027] The bandwidth adjustment coefficient corresponding to the membership function is determined based on the temperature deviation results, pressure deviation results, and bandwidth data of the fuzzy set.

[0028] Construct a membership function using the center adjustment coefficient and the bandwidth adjustment coefficient;

[0029] Obtain the real-time values ​​corresponding to temperature and pressure, and calculate the membership degree between the real-time values ​​and the fuzzy set using the membership function.

[0030] Optionally, the steps of determining the proportional relief valve opening, heating rod power, and cooling fan speed of the thermostatic pressure equipment based on temperature values, pressure values, and their corresponding membership degrees include:

[0031] Determine the language value corresponding to the fuzzy set based on the threshold interval;

[0032] The first inference rule corresponding to the proportional relief valve is constructed based on the linguistic value corresponding to the pressure deviation value and the pressure deviation change rate. The first trigger strength corresponding to the proportional relief valve is determined by obtaining the minimum membership degree corresponding to the pressure deviation value and the pressure deviation change rate using the first inference rule.

[0033] The second inference rule corresponding to the heating rod is constructed based on the linguistic value corresponding to the temperature deviation value and the rate of change of temperature deviation. The second inference rule is then used to obtain the minimum membership degree corresponding to the temperature deviation value and the rate of change of temperature deviation to determine the second trigger intensity corresponding to the heating rod.

[0034] The third inference rule for the cooling fan is constructed based on the linguistic values ​​corresponding to the pressure deviation change rate and the temperature deviation change rate. The third inference rule is then used to obtain the minimum membership degree corresponding to the pressure deviation change rate and the temperature deviation change rate to determine the third trigger strength for the cooling fan.

[0035] The opening degree of the proportional overflow valve, the power of the heating rod, and the speed of the cooling fan are determined by the first trigger strength, the second trigger strength, and the third trigger strength, respectively.

[0036] Optionally, a compensation strategy for the warm isostatic pressing equipment can be determined based on the initial density of the preform and the heat loss of the high-pressure chamber, including:

[0037] The initial density of the embryo is obtained using a density sensor, and the heat loss of the high-pressure chamber is determined using the temperature and pressure values ​​of the pressure transmission medium.

[0038] If the initial density is greater than the preset first density threshold, then the first compensation strategy corresponding to the proportional relief valve opening is determined using the first proportional parameter corresponding to the first density threshold; wherein, the first compensation strategy is to increase the current proportional relief valve opening according to the first proportional parameter.

[0039] If the initial density is less than the preset second density threshold, then the second compensation strategy corresponding to the proportional relief valve opening is determined using the second proportional parameter corresponding to the first density threshold; wherein, the second compensation strategy is to reduce the current proportional relief valve opening according to the second proportional parameter.

[0040] If the heat loss is greater than the preset third density threshold, the third compensation strategy corresponding to the heating rod power is determined by the third proportional parameter corresponding to the third density threshold; wherein, the third compensation strategy is to increase the current heating rod power according to the third proportional parameter.

[0041] If the heat loss is less than the preset fourth density threshold, then the fourth compensation strategy corresponding to the heating rod power is determined using the fourth proportional parameter corresponding to the fourth density threshold; wherein, the fourth compensation strategy is to reduce the current heating rod power according to the fourth proportional parameter.

[0042] Optionally, a compensation strategy is used to determine the control parameters corresponding to the proportional relief valve opening, heating rod power, and cooling fan speed, including:

[0043] The membership degrees corresponding to the proportional overflow valve opening, heating rod power, and cooling fan speed are obtained based on preset discrete sampling points.

[0044] The control parameters corresponding to the proportional overflow valve opening, heating rod power, and cooling fan speed are determined by the number of discrete sampling points, the first trigger strength, the second trigger strength, the third trigger strength, the membership degree, and the compensation strategy.

[0045] Optionally, the proportional relief valve, heating rod, and cooling fan in the thermostatic pressure apparatus can be controlled by controlling parameters, including:

[0046] Based on the control parameters, determine the proportional opening commands corresponding to the proportional relief valve, heating rod and cooling fan respectively, and use the proportional opening commands to control the operation of the proportional relief valve, heating rod and cooling fan respectively;

[0047] The material density and temperature-pressure curve of the preform are obtained, and the material density, temperature-pressure curve and control parameters are saved to the preset storage module.

[0048] Secondly, the present invention provides a solid-state battery production control system, which is used to control the pressure and temperature of a thermostatic pressing (SOP) device during the solid-state battery production process; the system includes:

[0049] The initialization module is used to perform initial calibration of the sensors in the temperature isostatic pressing equipment, set the corresponding process target parameters of the temperature isostatic pressing equipment, and initialize the corresponding fuzzy control parameters of the temperature isostatic pressing equipment based on the sensors.

[0050] The data acquisition and processing module is used to control the sensors to collect the temperature and pressure values ​​of the pressure transmission medium after the solid-state battery preform is detected to be placed in the high-pressure chamber of the isostatic pressing equipment and the pressure transmission medium injection and high-pressure chamber sealing are completed. Based on the process target parameters, the module determines the temperature deviation results corresponding to the temperature value and the pressure deviation results corresponding to the pressure value.

[0051] An adaptive fuzzification module is used to determine the membership function corresponding to the fuzzy control parameters using the temperature deviation results and pressure deviation results, and to calculate the membership degree corresponding to the temperature value and pressure value using the membership function;

[0052] The hierarchical rule reasoning module is used to determine the proportional relief valve opening, heating rod power, and cooling fan speed of the thermostatic pressure equipment based on temperature values, pressure values, and their corresponding membership degrees.

[0053] The clarity calculation and processing module is used to determine the compensation strategy for the thermostatic pressing equipment based on the initial density of the preform and the heat loss of the high-pressure chamber, and to use the compensation strategy to determine the control parameters corresponding to the proportional relief valve opening, heating rod power and cooling fan speed.

[0054] The control execution processing module is used to control the operation of the proportional overflow valve, heating rod and cooling fan in the thermostatic pressing equipment through control parameters until the preform is pressed.

[0055] Thirdly, embodiments of the present invention also provide a thermostatic pressing apparatus, comprising:

[0056] Main unit: includes a high-pressure chamber and a pressure-transmitting medium circulation device; the high-pressure chamber is used to provide a sealed compression space; the pressure-transmitting medium in the pressure-transmitting medium circulation device is uniformly distributed around the solid-state battery blank;

[0057] Sensing unit: includes pressure sensor, temperature sensor and density sensor, used to collect pressure data, temperature data and material density data in real time;

[0058] Actuation unit: includes a proportional relief valve, heating rod and cooling fan, used to adjust the pressure, temperature and cooling rate of the pressure transmission medium;

[0059] Storage unit: includes a touch screen and a memory; the touch screen is used to provide a process parameter setting interface and display real-time data, and the memory is used to store historical data;

[0060] Control unit: connected to the main unit, sensing unit, execution unit and storage unit respectively; when the control unit uses the main unit, sensing unit, execution unit and storage unit to control the pressure and temperature of the corresponding blank in the solid-state battery production process, it adopts the steps of the solid-state battery production control method mentioned in the first aspect.

[0061] The present invention provides a solid-state battery production control method, system, and isostatic pressing equipment, which can achieve precise control of pressure and temperature during the pressing and forming process of solid-state battery blanks, thereby improving the uniformity of blank density and the dynamic response performance of the equipment.

[0062] 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.

[0063] 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

[0064] 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.

[0065] Figure 1 A flowchart of a solid-state battery production control method provided in an embodiment of the present invention;

[0066] Figure 2 This is a flowchart of step S101 in a solid-state battery production control method provided by an embodiment of the present invention;

[0067] Figure 3 In step S102 of a solid-state battery production control method provided in an embodiment of the present invention, a flowchart is provided showing the process of controlling the sensor to collect the temperature value and pressure value of the pressure transmission medium, and determining the temperature deviation result corresponding to the temperature value and the pressure deviation result corresponding to the pressure value based on the process target parameters.

[0068] Figure 4 A flowchart of step S103 in a solid-state battery production control method provided in an embodiment of the present invention;

[0069] Figure 5 A flowchart of step S104 in a solid-state battery production control method provided in an embodiment of the present invention;

[0070] Figure 6 In step S105 of a solid-state battery production control method provided in an embodiment of the present invention, a flowchart is shown for determining the compensation strategy for the isostatic pressing equipment based on the initial density of the preform and the heat loss of the high-pressure chamber.

[0071] Figure 7 In step S105 of a solid-state battery production control method provided in an embodiment of the present invention, a flowchart is shown showing the process of determining the control parameters corresponding to the proportional overflow valve opening, heating rod power, and cooling fan speed using a compensation strategy.

[0072] Figure 8 In step S106 of a solid-state battery production control method provided in an embodiment of the present invention, a flowchart is shown showing how the proportional overflow valve, heating rod, and cooling fan in the isostatic pressing equipment are controlled by control parameters.

[0073] Figure 9 A flowchart of another solid-state battery production control method provided in an embodiment of the present invention;

[0074] Figure 10 A schematic diagram of a solid-state battery production control system provided in an embodiment of the present invention;

[0075] Figure 11 This is a schematic diagram of the structure of a thermostatic pressure apparatus provided in an embodiment of the present invention;

[0076] Figure 12 The diagram shows a comparison of the effects of a solid-state battery production control method provided in an embodiment of the present invention.

[0077] icon:

[0078] 1010 - Initialization Module; 1020 - Data Acquisition and Processing Module; 1030 - Adaptive Fuzzification Module; 1040 - Hierarchical Rule Reasoning Module; 1050 - Defuzzification Calculation and Processing Module; 1060 - Control Execution Processing Module;

[0079] 1110 - Main unit; 1120 - Sensing unit; 1130 - Execution unit; 1140 - Storage unit; 1150 - Control unit. Detailed Implementation

[0080] 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.

[0081] To facilitate understanding of this embodiment, a solid-state battery production control method disclosed in this embodiment will first be described in detail. This method is applied to the filtering control process of an air-coupled ultrasonic surface density meter. The method is as follows: Figure 1 As shown, it includes:

[0082] Step S101: After initial calibration of the sensors in the temperature isostatic pressing equipment, set the process target parameters corresponding to the temperature isostatic pressing equipment, and initialize the fuzzy control parameters corresponding to the temperature isostatic pressing equipment based on the sensors.

[0083] Before officially starting the solid-state battery blank pressing process, three core preliminary tasks must be completed. First, initial calibration of all sensors mounted on the isostatic pressing equipment is required. This step is fundamental to ensuring the accuracy of subsequent data acquisition, effectively avoiding interference from sensor errors on pressure and temperature data, and ensuring the reliability of subsequent test data. Second, based on the current solid-state battery model and performance requirements, suitable process target parameters must be set. These parameters need to precisely match core indicators such as battery energy density and cycle life, and clearly define key values ​​such as the target temperature and target pressure that the pressure transmission medium in the high-pressure chamber must reach. Third, based on the initial reference data fed back from the calibrated sensors, the corresponding fuzzy control parameters of the equipment are initialized, laying the foundation for the subsequent dynamic fuzzy control process.

[0084] Step S102: After the solid-state battery blank is detected to be placed in the high-pressure chamber of the isostatic pressing equipment and the pressure transmission medium injection and high-pressure chamber sealing treatment are completed, the control sensor collects the temperature value and pressure value of the pressure transmission medium, and determines the temperature deviation result corresponding to the temperature value and the pressure deviation result corresponding to the pressure value based on the process target parameters.

[0085] After the solid-state battery blank is accurately placed into the high-pressure chamber of the isostatic pressing equipment, and sufficient pressure-transmitting medium is injected and the high-pressure chamber is strictly sealed, the equipment enters the data acquisition and deviation analysis stage. At this time, the system triggers the sensors to enter real-time working mode, continuously collecting the real-time temperature and pressure values ​​of the pressure-transmitting medium in the high-pressure chamber. Subsequently, the system compares these two sets of real-time data with the process target parameters set in step S101, accurately calculating the temperature deviation between the real-time temperature and the target temperature, and the pressure deviation between the real-time pressure and the target pressure, providing core data support for subsequent control strategy adjustments.

[0086] Step S103: Determine the membership function corresponding to the fuzzy control parameters using the temperature deviation results and pressure deviation results, and calculate the membership degree corresponding to the temperature value and pressure value using the membership function.

[0087] To address the drawbacks of fixed membership functions in traditional fuzzy control, this step uses the temperature and pressure deviation results calculated in S102 as the core basis to determine a specific membership function for the fuzzy control parameters adapted to the current operating conditions. This function can flexibly adapt to changes in deviation, avoiding issues such as response lag or insufficient accuracy. After determining the function, the membership degrees corresponding to the real-time temperature and pressure values ​​are calculated using this function, thereby quantifying the degree of fit between the real-time temperature and pressure parameters and the target parameters, providing a quantitative reference for subsequent control of equipment components.

[0088] Step S104: Determine the proportional relief valve opening, heating rod power, and cooling fan speed corresponding to the isostatic pressure equipment based on the temperature value, pressure value, and their corresponding membership degree.

[0089] Based on the collected real-time temperature and pressure values, and the corresponding membership degrees calculated in S103, the system performs comprehensive calculations and analyses to determine the preliminary operating parameters of the three core control components in the isostatic pressure equipment. Specifically, this involves determining the opening degree of the proportional relief valve used to regulate pressure, the output power of the heating rod used to increase temperature, and the rotational speed of the cooling fan used to decrease temperature. These three parameters correspond to the basic control requirements for pressure and temperature, and are crucial links connecting data detection and equipment operation.

[0090] Step S105: Determine the compensation strategy for the isostatic pressing equipment based on the initial density of the preform and the heat loss of the high-pressure chamber, and use the compensation strategy to determine the control parameters corresponding to the proportional relief valve opening, heating rod power and cooling fan speed.

[0091] Considering the nonlinear conditions in solid-state battery production, such as fluctuations in initial material density and time-varying heat loss within the cavity, this step further refines the control parameters. The system first accurately acquires the initial density data of the current blank and the real-time heat loss data of the high-pressure cavity. If the initial density of the blank is high, a densification compensation scheme with higher pressure needs to be formulated; if the heat loss within the cavity is large, a temperature compensation scheme to increase the heating power needs to be planned. Based on these targeted compensation strategies, the three initial parameters determined in S104—proportional overflow valve opening, heating rod power, and cooling fan speed—are optimized and corrected a second time to finally determine precise control parameters that can adapt to the current specific operating conditions, solving the problem of traditional control ignoring differences in operating conditions.

[0092] Step S106: Control the proportional overflow valve, heating rod and cooling fan in the isostatic pressing equipment by controlling the parameters until the preform is pressed.

[0093] After receiving the final control parameters determined by S105, the system sends precise control commands to the proportional overflow valve, heating rod, and cooling fan, driving the three components to operate in tandem. During operation, the sensors continuously collect intracavity temperature and pressure data, forming a closed-loop regulation with the control parameters to ensure that the pressure remains stable within the target range and the temperature remains balanced. This regulation process continues until the solid-state battery blank is densified and pressed under isobaric and temperature conditions, achieving the density and interface bonding quality that meet production standards. At this point, the blank pressing process is complete.

[0094] Optionally, after initial calibration of the sensors in the warm isostatic pressing (WIP) apparatus, the process target parameters corresponding to the WIP apparatus are set, and the fuzzy control parameters corresponding to the WIP apparatus are initialized based on the sensors, as in step S101. Figure 2 As shown, it includes:

[0095] Step S201: Obtain the pressure sensor, temperature sensor and density sensor contained in the isostatic pressing device.

[0096] To conduct subsequent sensor calibration and parameter configuration, the primary task is to identify and acquire the core sensor types used for critical data acquisition in the isostatic pressing (SHP) equipment. Specifically, three types of core sensors need to be identified: pressure sensors for real-time monitoring of pressure changes in the pressure-transmitting medium within the high-pressure chamber; temperature sensors for capturing temperature data within the chamber; and density sensors for sensing density-related data of the solid-state battery blank. These three types of sensors are core components for subsequent acquisition of critical process data; identifying and acquiring them is a prerequisite for initiating subsequent calibration and control work.

[0097] Step S202: After performing zero-point calibration and error compensation on the pressure sensor, temperature sensor and density sensor respectively, the initial calibration of the sensors is completed.

[0098] For the pressure, temperature, and density sensors acquired in the previous step, initial calibration needs to be completed in two steps to ensure data reliability. The first step is zero-point calibration to eliminate zero-point offset in the absence of signal input, preventing initial zero-point deviation from distorting subsequent data. The second step involves error compensation, taking into account sensor factory parameters and interference factors in the equipment's operating environment to preemptively correct for potential system and environmental errors. Once both steps are completed, the initial calibration of all core sensors is successfully achieved, laying a solid foundation for accurate data acquisition in the future.

[0099] Step S203: Determine the target pressure, target temperature, and pressing time of the temperature isostatic pressing equipment based on the attribute parameters corresponding to the solid-state battery, and determine the process target parameters of the temperature isostatic pressing equipment based on the target pressure, target temperature, and pressing time.

[0100] The setting of process target parameters must closely align with the characteristics of the solid-state battery currently being produced. First, the battery's attribute parameters must be extracted, such as its rated energy density, preset cycle life, and interface stability requirements. These parameters directly determine the stringency of the pressing process. Based on these attribute parameters, the core indicators that the isostatic pressing equipment must achieve during operation are further clarified, including the target pressure to achieve densification of the pressure transmission medium. Target temperature to ensure stable molding of the billet And a reasonable pressing time to ensure the billet is sufficiently dense and undamaged. Finally, these three core indicators are integrated to form a complete set of process target parameters that are suitable for current solid-state battery production.

[0101] Step S204: Determine the membership function corresponding to the isostatic pressure device based on the sensor values ​​collected by the pressure sensor and temperature sensor, and determine the fuzzy control parameters corresponding to the isostatic pressure device according to the center parameter, bandwidth parameter and adjustment coefficient corresponding to the membership function.

[0102] This step aims to establish a fuzzy control parameter system adapted to dynamic operating conditions. First, using calibrated pressure and temperature sensors, basic sensor values ​​are collected under the initial state of the equipment. These values ​​are then used as a basis to construct a membership function adapted to the current initial operating conditions of the equipment, breaking the limitations of traditional fixed membership functions. Next, the focus is on the key components of this membership function, namely the central parameters that determine the core of parameter adaptation. Bandwidth parameters affecting response sensitivity And adjustment coefficients to adapt to fluctuations in operating conditions, such as and By clarifying the specific values ​​of these three types of parameters, the fuzzy control parameters corresponding to the isostatic pressure equipment are finally integrated and determined, providing core parameter support for subsequent dynamic control.

[0103] After placing the solid-state battery electrode blank into the high-pressure chamber, injecting the pressure-transmitting medium, closing and sealing the chamber, optionally, the control sensor collects the temperature and pressure values ​​of the pressure-transmitting medium, and determines the temperature deviation corresponding to the temperature value and the pressure deviation corresponding to the pressure value based on the process target parameters, such as... Figure 3 As shown, it includes:

[0104] Step S301: Determine the target pressure and target temperature values ​​for the isostatic pressing equipment based on the attribute parameters corresponding to the solid-state battery.

[0105] The primary prerequisite for deviation calculation is establishing a unified and suitable benchmark value. This step must be based on the core attribute parameters of the solid-state battery to be produced. These attribute parameters cover key indicators such as energy density, expected cycle life, and interface stability standards in battery design, which directly determine the stringency of the process required for the densification of the preform. Based on these parameters, the target pressure value that the pressure transmission medium in the high-pressure chamber of the isostatic pressing equipment must reach is precisely determined. With target temperature value These two values ​​will serve as the core benchmarks for evaluating whether real-time temperature and pressure data are qualified, and are important reference standards for subsequent deviation calculations.

[0106] Step S302: After the control sensor sequentially collects the temperature and pressure values ​​of the pressure transmission medium according to the preset collection time, it calculates and obtains the temperature deviation between the temperature value and the target temperature value, and the pressure deviation between the pressure value and the target pressure value.

[0107] To ensure the stability and comparability of data acquisition, acquisition commands are sent to the pressure and temperature sensors according to a pre-set acquisition duration (this duration is usually set in conjunction with the battery production process rhythm to avoid data redundancy due to excessive acquisition and to prevent omission of key operating condition changes due to insufficient acquisition, such as 10ms). This drives the two types of sensors to systematically acquire the real-time temperature value of the pressure transmission medium in the high-pressure chamber. With real-time pressure values After data collection is complete, a data comparison operation is immediately initiated, comparing each set of collected real-time temperature values. The target temperature value determined by S301 Subtracting them yields the temperature deviation value for a single group. Similarly, the real-time pressure value With target pressure value Subtracting them yields the pressure deviation value for a single group. This provides basic data for subsequent analysis of the dynamic trend of deviation changes.

[0108] Step S303: Obtain the temperature deviation change rate corresponding to the temperature deviation value based on the acquisition duration, and determine the temperature deviation result corresponding to the temperature value based on the temperature deviation change rate.

[0109] A single temperature deviation value is insufficient to reflect the dynamic changes in operating conditions, while the trend of deviation change is crucial for the sensitivity adjustment of subsequent equipment control. In this step, multiple sets of continuously acquired and calculated temperature deviation values ​​are analyzed at preset time intervals. The rate of change of temperature deviation is calculated by dividing the difference between two adjacent temperature deviation values ​​by the acquisition time. The rate of change It can intuitively show whether the temperature deviation is rapidly increasing, slowly decreasing, or tending to stabilize, thus moving beyond relying solely on a single temperature deviation value. Instead, it combines this dynamic rate of change of temperature deviation. The comprehensive determination of temperature deviation results can fully reflect the current temperature conditions, providing a more targeted reference for subsequent temperature control.

[0110] Step S304: Obtain the pressure deviation change rate corresponding to the pressure deviation value based on the collection duration, and determine the pressure deviation result corresponding to the pressure value based on the pressure deviation change rate.

[0111] This step follows the same dynamic analysis logic as S303, focusing on the dynamic characteristics of pressure deviation in the calculation. Similarly, using a preset acquisition duration as the time dimension, multiple sets of continuously acquired pressure deviation values ​​are processed to calculate the rate of change of pressure deviation. This is used to determine the dynamic trend of the pressure deviation, such as whether it deviates sharply from the target value or gradually approaches the target value. Then, this is combined with the calculated rate of change of pressure deviation. and the corresponding pressure deviation value The comprehensive assessment yields pressure deviation results that accurately reflect the current pressure conditions, which, in conjunction with temperature deviation results, provide complete data support for the coordinated control of subsequent equipment.

[0112] Optionally, step S103 involves determining the membership functions corresponding to the fuzzy control parameters using the temperature and pressure deviation results, and then calculating the membership degrees corresponding to the temperature and pressure values ​​using these membership functions. Figure 4 As shown, it includes:

[0113] Step S401: Construct a fuzzy set corresponding to the thermostatic pressure device based on the threshold intervals corresponding to the temperature deviation value, pressure deviation value, temperature deviation change rate, and pressure deviation change rate;

[0114] Step S402: Determine the center adjustment coefficient corresponding to the membership function based on the temperature deviation result, pressure deviation result, and center data of the fuzzy set;

[0115] Step S403: Determine the bandwidth adjustment coefficient corresponding to the membership function based on the temperature deviation results, pressure deviation results, and bandwidth data of the fuzzy set;

[0116] Step S404: Construct the membership function using the center adjustment coefficient and the bandwidth adjustment coefficient;

[0117] Step S405: Obtain the real-time values ​​corresponding to the temperature and pressure values, and calculate the membership degree between the real-time values ​​and the fuzzy set using the membership function.

[0118] Fuzzy set definition: The fuzzy set of all input and output variables is defined by 7 linguistic values: {NB, NM, NS, ZO, PS, PM, PB}, corresponding to negative large, negative medium, negative small, zero, positive small, positive medium, and positive large, respectively. The universe of discourse is set according to the requirements of solid-state battery technology. The threshold intervals involved in the universe of discourse of each variable are the pressure deviation values. Pressure deviation change rate Temperature deviation value Temperature deviation change rate Proportional relief valve opening increment Heating rod power increment Increase in cooling fan speed .

[0119] The membership function is an adaptive membership function based on the rate of change of deviation, which can dynamically adjust the center of the function. With bandwidth The details are as follows:

[0120] The main purpose of adjusting the membership function center is to track the trend of deviation changes.

[0121] ;

[0122] in It is the center of the i-th fuzzy set at time k+1; Center at time k; Adjust the coefficient for the center, for example ; This represents the real-time deviation change rate.

[0123] The membership function bandwidth adjustment aims to balance response speed and accuracy, as detailed below:

[0124] ;

[0125] in The bandwidth of the i-th fuzzy set at time k+1; The bandwidth at time k; For example, bandwidth adjustment factor. ; This is the absolute value of the rate of change of the deviation.

[0126] The membership function expression is as follows: ;in, For variables The degree of membership to fuzzy set A; This refers to the real-time value of the input or output variable.

[0127] Premise: Target pressure Target temperature Real-time pressure Real-time temperature Pressure deviation Pressure deviation change rate Temperature deviation Temperature deviation change rate Initial density of material Heat loss within the cavity .

[0128] Input variable: pressure deviation Temperature deviation Pressure deviation change rate Temperature deviation change rate ;

[0129] The membership degree of pressure deviation is calculated as follows:

[0130] ;

[0131] ;

[0132] The fuzzy set and its corresponding initial center, initial bandwidth, adjusted center, and adjusted width are shown in Table 1.

[0133]

[0134] Table 1

[0135] According to the formula We can obtain, The membership degrees of each fuzzy set are as follows:

[0136] ;

[0137] ;

[0138] ;

[0139] .

[0140] The calculation process for the membership degree of the pressure deviation change rate is shown in Table 2, as detailed below:

[0141]

[0142] Table 2

[0143] According to the formula We can obtain, The membership degrees of each fuzzy set are as follows:

[0144] ;

[0145] .

[0146] The calculation process for temperature deviation membership is shown in Table 3, as detailed below:

[0147]

[0148] Table 3

[0149] According to the formula We can obtain, The membership degrees of each fuzzy set are as follows:

[0150] ;

[0151] .

[0152] The calculation process for the membership degree of the temperature deviation change rate is shown in Table 4, as detailed below:

[0153]

[0154] Table 4

[0155] According to the formula We can obtain, The membership degrees of each fuzzy set are as follows:

[0156] ;

[0157] .

[0158] Optionally, step S104, which determines the proportional relief valve opening, heating rod power, and cooling fan speed of the isostatic pressure device based on temperature, pressure, and their corresponding membership, is as follows: Figure 5 As shown, it includes:

[0159] Step S501: Determine the language value corresponding to the fuzzy set based on the threshold range;

[0160] Step S502: Construct the first inference rule corresponding to the proportional relief valve based on the linguistic value corresponding to the pressure deviation value and the pressure deviation change rate, and use the first inference rule to obtain the minimum membership degree corresponding to the pressure deviation value and the pressure deviation change rate to determine the first trigger strength corresponding to the proportional relief valve.

[0161] Step S503: Construct the second inference rule corresponding to the heating rod based on the language value corresponding to the temperature deviation value and the rate of change of temperature deviation, and use the second inference rule to obtain the minimum membership degree corresponding to the temperature deviation value and the rate of change of temperature deviation to determine the second trigger intensity corresponding to the heating rod.

[0162] Step S504: Construct the third inference rule corresponding to the cooling fan based on the linguistic values ​​corresponding to the pressure deviation change rate and the temperature deviation change rate, and use the third inference rule to obtain the minimum membership degree corresponding to the pressure deviation change rate and the temperature deviation change rate to determine the third trigger strength corresponding to the cooling fan.

[0163] Step S505: Determine the proportional overflow valve opening, heating rod power, and cooling fan speed by using the first trigger strength, the second trigger strength, and the third trigger strength, respectively.

[0164] The above steps are based on four inputs: pressure deviation, pressure change rate, temperature deviation, and temperature change rate. The outputs are three: valve opening, heating power, and fan speed, in the form of "IF", "AND", and "THEN".

[0165] Specifically, the first inference rule corresponding to the proportional relief valve opening increment takes pressure deviation and pressure deviation change rate as inputs, and is determined by querying the pressure control... The following results can be obtained from the fuzzy rule table:

[0166]

[0167] Table 5 First Reasoning Rule

[0168] Specifically, the second inference rule corresponding to the heating rod power increment takes the temperature deviation and the rate of change of temperature deviation as inputs, and queries the temperature control... The following results can be obtained from the fuzzy rule table:

[0169]

[0170] Table 6 Second Reasoning Rule

[0171]

[0172] Specifically, the third inference rule corresponding to the increase in cooling fan speed uses the input pressure deviation change rate and temperature deviation change rate to query the cooling rate. The following results can be obtained from the fuzzy rule table:

[0173] Table 7 Third Reasoning Rule

[0174] Temperature control Fuzzy rule table 8, temperature control Fuzzy rule table 9 and cooling rate The fuzzy rule table 10 is as follows:

[0175]

[0176] Table 8

[0177]

[0178] Table 9

[0179]

[0180] Table 10

[0181] Optionally, a compensation strategy for the thermostatic pressing equipment can be determined based on the initial density of the embryo and the heat loss of the high-pressure chamber, such as... Figure 6As shown, it includes:

[0182] Step S601: Use a density sensor to obtain the initial density of the preform, and use the temperature and pressure values ​​of the pressure transmission medium to determine the heat loss of the high-pressure chamber.

[0183] Step S602: If the initial density is greater than the preset first density threshold, then the first compensation strategy corresponding to the proportional relief valve opening is determined using the first proportional parameter corresponding to the first density threshold; wherein, the first compensation strategy is to increase the current proportional relief valve opening according to the first proportional parameter.

[0184] Step S603: If the initial density is less than the preset second density threshold, then the second compensation strategy corresponding to the proportional relief valve opening is determined using the second proportional parameter corresponding to the first density threshold; wherein, the second compensation strategy is to reduce the current proportional relief valve opening according to the second proportional parameter.

[0185] Step S604: If the heat loss is greater than the preset third density threshold, then the third compensation strategy corresponding to the heating rod power is determined using the third proportional parameter corresponding to the third density threshold; wherein, the third compensation strategy is to increase the current heating rod power according to the third proportional parameter.

[0186] Step S605: If the heat loss is less than the preset fourth density threshold, then the fourth compensation strategy corresponding to the heating rod power is determined using the fourth proportional parameter corresponding to the fourth density threshold; wherein, the fourth compensation strategy is to reduce the current heating rod power according to the fourth proportional parameter.

[0187] The above steps are mainly based on the initial density of the material. Heat loss within the cavity The operating parameters are used to compensate for the control output of the main rule. The core rules are shown in Table 11 below:

[0188]

[0189] Table 11

[0190] Table 11 and These are the updated proportional relief valve opening increment and the heating rod power increment. Specifically, this is based on the material density. =2.6 and heat loss Q=520 are used to compensate for the main rule output as follows:

[0191] ;

[0192] .

[0193] Optionally, a compensation strategy can be used to determine the control parameters corresponding to the proportional relief valve opening, heating rod power, and cooling fan speed, such as... Figure 7 As shown, it includes:

[0194] Step S701: Obtain the membership degree corresponding to the proportional overflow valve opening, heating rod power, and cooling fan speed based on preset discrete sampling points;

[0195] Step S702: Determine the control parameters corresponding to the proportional overflow valve opening, heating rod power, and cooling fan speed by using the number of discrete sampling points, the first trigger strength, the second trigger strength, the third trigger strength, the membership degree, and the compensation strategy.

[0196] Specifically, the above steps mainly involve fuzzy reasoning. By using a weighted average trigger strength to calculate the rule activation degree, the problem of multiple rule conflicts is resolved. The specific implementation steps are as follows:

[0197] Calculate the trigger strength of a single rule (taking the minimum value of the membership degree of the input variables):

[0198] ;

[0199] in, The trigger strength of the l-th rule; , , , Provides the real-time, precise value of the input variable; This represents the membership degree of the corresponding variable.

[0200] Calculate the fuzzy set membership degree of the output variable (take the maximum value of the product of the trigger strength and the rule output membership degree), as follows:

[0201] ;

[0202] in For output variables fuzzy set membership degree; Output for the l-th rule The degree of membership.

[0203] The subsequent clarification stage involves removing fuzziness using the discrete centroid method, converting the fuzzy inference results into precise control quantities. The specific formula is as follows:

[0204] ;

[0205] in To output the precise value of the variable; Discrete sampling points for the universe of discourse of the output variable; The number of sampling points (11 points in total, ranging from 0, 10, 20...100). for The corresponding membership degree.

[0206] The output fuzzy sets are NS (center 40, bandwidth 8) and NM (center 20, bandwidth 10); among them, the output fuzzy set of rules 1 and 2 is NS with a trigger strength of 0.025, the output fuzzy set of rule 3 is NS with a trigger strength of 0.0088, and the output fuzzy set of rule 4 is NM with a trigger strength of 0.0088. Assuming that sampling points 30, 40, and 50 are used for calculation, the following results can be obtained from Table 12:

[0207] ;

[0208] ;

[0209] ;

[0210] ;

[0211] ;

[0212] ;

[0213]

[0214] Table 12

[0215] .

[0216] The output fuzzy set is NS (center 40, bandwidth 8); among them, the output fuzzy set of rules 1 and 2 is NS with a trigger strength of 0.2940, the output fuzzy set of rule 3 is NS with a trigger strength of 0.6006, and the output fuzzy set of rule 4 is NS with a trigger strength of 0.3247; assuming sampling points 40, 50, and 60 are used for calculation, the following results can be obtained from Table 13:

[0217] ;

[0218] ;

[0219] ;

[0220]

[0221] Table 13

[0222] .

[0223] The output fuzzy sets are PM (center 80, bandwidth 10) and PB (center 100, bandwidth 12); among them, the output fuzzy set of rule 1 is PM with a trigger strength of 0.7622, ​​the output fuzzy sets of rules 2 and 4 are PB with a trigger strength of 0.3247, and the output fuzzy set of rule 3 is PB with a trigger strength of 0.6598; assuming that sampling points 80, 90, and 100 are used for calculation, the following results can be obtained from Table 14:

[0224] ;

[0225] ;

[0226] ;

[0227] ;

[0228] ;

[0229] ;

[0230]

[0231] Table 14

[0232] .

[0233] Optionally, the proportional relief valve, heating rod, and cooling fan in the thermostatic pressure equipment can be controlled by adjusting control parameters, such as... Figure 8 As shown, it includes:

[0234] Step S801: Determine the proportional opening commands corresponding to the proportional relief valve, heating rod and cooling fan according to the control parameters, and use the proportional opening commands to control the operation of the proportional relief valve, heating rod and cooling fan respectively;

[0235] Step S802: Obtain the material density and temperature-pressure curve of the preform, and save the material density, temperature-pressure curve and control parameters to the preset storage module.

[0236] Feedback Adjustment: Repeat the above process until the pressing time ends; the precise control value of the proportional overflow valve after secondary rule layer compensation is 40.8%, meaning the opening needs to be increased by 40.8% to raise the internal pressure to the target 100MPa; the precise control value of the heating rod after secondary rule layer compensation is 43.6%, meaning the power needs to be increased by 43.6%; the precise control value of the cooling fan after secondary rule layer compensation is 89.5%, meaning the speed needs to be maintained at 89.5% to help stabilize temperature fluctuations. After depressurization and cooling, remove the compact, test its density, and store the pressure-temperature curve and control parameters of this pressing.

[0237] like Figure 9 The flowchart shown is for another solid-state battery production control method, which specifically includes the following steps:

[0238] System initialization: Sensor calibration, including zero-point calibration of the pressure sensor and error compensation of the temperature sensor; Setting process parameters: Target pressure Target temperature Suppression time t; Initialization of fuzzy control parameters: Initial membership function center ,bandwidth Adjustment coefficient and ;

[0239] Feeding and sealing: The solid-state battery electrode blank is placed into the high-pressure chamber, the pressure-transmitting medium is injected, the chamber is closed and sealed;

[0240] Fuzzy control loop: Data acquisition: Data is acquired every 10ms. , ,calculate , , , ;

[0241] Adaptive fuzzification: based on , Adjusting the membership function , Calculate the membership degree of each input variable;

[0242] Hierarchical rule reasoning: First match the output of the main rule layer. , , And then according to Q will receive compensation under the secondary rules;

[0243] Clear output: Precise control quantities are calculated using the center of gravity method to drive the proportional relief valve, heating rod, and cooling fan.

[0244] Feedback and adjustments: Repeat the above process until the compression time is over;

[0245] Unloading and data storage: After depressurization and cooling, the compact is taken out, its density is tested, and the pressure-temperature curve and control parameters of this pressing are stored.

[0246] The initial parameter tables for the membership functions of the input variables and the output variables involved in the above process can be found in Tables 15 and 16, as follows:

[0247]

[0248] Table 15

[0249]

[0250] Table 16

[0251] The comparison diagram between the solid-state battery production control method in this embodiment and the traditional PID algorithm is shown below. Figure 12 As shown, the pressure deviation fluctuation range of traditional PID algorithms is relatively large (close to ±5MPa), while the deviation of the solid-state battery production control method in this embodiment is strictly controlled within ±1MPa (most of the time within ±0.5MPa). The temperature deviation fluctuation range of traditional PID is about ±3℃, while the deviation of the solid-state battery production control method in this embodiment is only within ±0.5℃. For temperature-sensitive processes (such as material synthesis and precision manufacturing), this improvement in accuracy can directly reduce product quality differences caused by temperature fluctuations. Traditional PID algorithms require a longer time (about 30-40 seconds) to gradually stabilize, and there are still obvious oscillations after stabilization; the solid-state battery production control method in this embodiment can quickly converge to the target value within 10-15 seconds, and there are almost no large fluctuations afterward.

[0252] As can be seen from the solid-state battery production control method mentioned in the above embodiments, this method achieves precise control of pressure and temperature during the solid-state battery blank pressing process, thereby improving the uniformity of the pressed blank density and the dynamic response performance of the equipment.

[0253] Corresponding to the solid-state battery production control method provided in the foregoing embodiments, this invention provides a solid-state battery production control system, which is used to control the pressure and temperature of the isostatic pressing equipment during the solid-state battery production process; such as Figure 10 As shown, the system includes:

[0254] The initialization module 1010 is used to perform initial calibration of the sensors in the temperature isostatic pressing equipment, set the process target parameters corresponding to the temperature isostatic pressing equipment, and initialize the fuzzy control parameters corresponding to the temperature isostatic pressing equipment based on the sensors.

[0255] The data acquisition and processing module 1020 is used to control the sensor to acquire the temperature and pressure values ​​of the pressure transmission medium after the solid-state battery preform is detected to be placed in the high-pressure chamber of the isostatic pressing equipment and the injection of the pressure transmission medium and the sealing treatment of the high-pressure chamber are completed. Based on the process target parameters, the module determines the temperature deviation result corresponding to the temperature value and the pressure deviation result corresponding to the pressure value.

[0256] The adaptive fuzzification module 1030 is used to determine the membership function corresponding to the fuzzy control parameters using the temperature deviation result and the pressure deviation result, and to calculate the membership degree corresponding to the temperature value and the pressure value using the membership function;

[0257] The hierarchical rule reasoning module 1040 is used to determine the proportional relief valve opening, heating rod power and cooling fan speed of the isostatic pressure equipment based on temperature value, pressure value and their corresponding membership degree.

[0258] The clarity calculation and processing module 1050 is used to determine the compensation strategy for the thermostatic pressing equipment based on the initial density of the preform and the heat loss of the high-pressure chamber, and to use the compensation strategy to determine the control parameters corresponding to the proportional overflow valve opening, heating rod power and cooling fan speed.

[0259] The control execution processing module 1060 is used to control the operation of the proportional overflow valve, heating rod and cooling fan in the thermostatic pressing equipment through control parameters until the preform is pressed.

[0260] As can be seen from the solid-state battery production control system mentioned in the above embodiments, the system achieves precise control of pressure and temperature during the solid-state battery blank pressing process, thereby improving the uniformity of the pressed blank density and the dynamic response performance of the equipment.

[0261] The solid-state battery production control system provided in this embodiment of the invention has the same implementation principle and technical effects as the aforementioned solid-state battery production 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 solid-state battery production control method embodiment.

[0262] This embodiment also provides a thermostatic pressure apparatus, such as... Figure 11 As shown, it includes:

[0263] Main unit 1110: includes a high-pressure chamber and a pressure-transmitting medium circulation device; the high-pressure chamber is used to provide a sealed pressing space; the pressure-transmitting medium in the pressure-transmitting medium circulation device is uniformly distributed around the solid-state battery blank;

[0264] Sensing unit 1120: includes a pressure sensor, a temperature sensor and a density sensor, used to collect pressure data, temperature data and material density data in real time;

[0265] Actuation unit 1130: includes a proportional relief valve, a heating rod and a cooling fan, used to adjust the pressure, temperature and cooling rate of the pressure transmission medium;

[0266] Storage unit 1140 includes a touch screen and a memory; the touch screen is used to provide a process parameter setting interface and display real-time data, and the memory is used to store historical data;

[0267] Control unit 1150: connected to the sensing unit, execution unit and storage unit respectively; when the control unit uses the main unit, sensing unit, execution unit and storage unit to control the pressure and temperature of the corresponding blank in the solid-state battery production process, it adopts the steps of the solid-state battery production control method mentioned in the above embodiments.

[0268] 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.

[0269] 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.

[0270] 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.

[0271] 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 solid-state battery production control method, characterized in that, The method is used for pressure and temperature control in a thermostatic pressing (SOP) device during solid-state battery production; the method includes: After initial calibration of the sensors in the temperature isostatic pressing equipment, the process target parameters corresponding to the temperature isostatic pressing equipment are set, and the fuzzy control parameters corresponding to the temperature isostatic pressing equipment are initialized based on the sensors. When it is detected that the solid-state battery preform is placed in the high-pressure chamber of the isostatic pressing equipment and the pressure transmission medium is injected and the high-pressure chamber is sealed, the sensor is controlled to collect the temperature and pressure values ​​of the pressure transmission medium, and the temperature deviation result corresponding to the temperature value and the pressure deviation result corresponding to the pressure value are determined based on the process target parameters. The membership function corresponding to the fuzzy control parameter is determined using the temperature deviation result and the pressure deviation result, and the membership function is used to calculate the membership degree corresponding to the temperature value and the pressure value. Based on the temperature value, the pressure value and their corresponding membership degree, determine the proportional overflow valve opening, heating rod power and cooling fan speed of the isostatic pressure device. The compensation strategy for the isostatic pressing device is determined based on the initial density of the embryo and the heat loss of the high-pressure chamber, and the control parameters corresponding to the proportional overflow valve opening, the heating rod power and the cooling fan speed are determined using the compensation strategy. The proportional overflow valve, heating rod, and cooling fan in the isostatic pressing equipment are controlled by the control parameters to operate until the preform is pressed.

2. The solid-state battery production control method according to claim 1, characterized in that, The steps of initially calibrating the sensors in the temperature isostatic pressing apparatus, setting the process target parameters corresponding to the temperature isostatic pressing apparatus, and initializing the fuzzy control parameters corresponding to the temperature isostatic pressing apparatus based on the sensors include: Acquire the pressure sensor, temperature sensor, and density sensor contained in the thermostatic pressure apparatus; After performing zero-point calibration and error compensation on the pressure sensor, temperature sensor and density sensor respectively, the initial calibration of the sensors is completed. The target pressure, target temperature, and pressing time of the isostatic pressing equipment are determined by the attribute parameters corresponding to the solid-state battery, and the process target parameters of the isostatic pressing equipment are determined based on the target pressure, the target temperature, and the pressing time. The membership function corresponding to the isostatic pressure device is determined based on the sensor values ​​collected by the pressure sensor and the temperature sensor, and the fuzzy control parameters corresponding to the isostatic pressure device are determined according to the center parameter, bandwidth parameter and adjustment coefficient corresponding to the membership function.

3. The solid-state battery production control method according to claim 2, characterized in that, The sensor is controlled to acquire the temperature and pressure values ​​of the pressure-transmitting medium, and the temperature deviation corresponding to the temperature value and the pressure deviation corresponding to the pressure value are determined based on the process target parameters, including: The target pressure and target temperature values ​​corresponding to the isostatic pressing device are determined by the property parameters corresponding to the solid-state battery. After controlling the sensor to sequentially collect the temperature and pressure values ​​of the pressure transmitting medium according to a preset collection time, the temperature deviation between the temperature value and the target temperature value, and the pressure deviation between the pressure value and the target pressure value are calculated and obtained. The temperature deviation change rate corresponding to the temperature deviation value is obtained based on the acquisition duration, and the temperature deviation result corresponding to the temperature value is determined based on the temperature deviation change rate. The pressure deviation change rate corresponding to the pressure deviation value is obtained based on the acquisition duration, and the pressure deviation result corresponding to the pressure value is determined based on the pressure deviation change rate.

4. The solid-state battery production control method according to claim 3, characterized in that, The steps of determining the membership function corresponding to the fuzzy control parameter using the temperature deviation result and the pressure deviation result, and calculating the membership degree corresponding to the temperature value and the pressure value using the membership function, include: Based on the threshold intervals corresponding to the temperature deviation value, the pressure deviation value, the rate of change of temperature deviation, and the rate of change of pressure deviation, a fuzzy set corresponding to the isostatic pressure device is constructed. The center adjustment coefficient corresponding to the membership function is determined based on the temperature deviation result, the pressure deviation result, and the center data of the fuzzy set; The bandwidth adjustment coefficient corresponding to the membership function is determined based on the temperature deviation result, the pressure deviation result, and the bandwidth data of the fuzzy set; The membership function is constructed using the center adjustment coefficient and the bandwidth adjustment coefficient; Obtain the real-time values ​​corresponding to the temperature and pressure values, and calculate the membership degree between the real-time values ​​and the fuzzy set using the membership function.

5. The solid-state battery production control method according to claim 4, characterized in that, The steps of determining the proportional relief valve opening, heating rod power, and cooling fan speed corresponding to the isostatic pressure device based on the temperature value, the pressure value, and their corresponding membership degrees include: The language value corresponding to the fuzzy set is determined based on the threshold range; Based on the language value corresponding to the pressure deviation value and the pressure deviation change rate, a first inference rule corresponding to the proportional relief valve is constructed, and the minimum membership degree corresponding to the pressure deviation value and the pressure deviation change rate is obtained using the first inference rule to determine the first trigger strength corresponding to the proportional relief valve. Based on the language value corresponding to the temperature deviation value and the rate of change of the temperature deviation, a second inference rule corresponding to the heating rod is constructed, and the minimum membership degree corresponding to the temperature deviation value and the rate of change of the temperature deviation is obtained using the second inference rule to determine the second trigger intensity corresponding to the heating rod; Based on the linguistic values ​​corresponding to the pressure deviation change rate and the temperature deviation change rate, a third inference rule corresponding to the cooling fan is constructed, and the minimum membership degree corresponding to the pressure deviation change rate and the temperature deviation change rate is obtained using the third inference rule to determine the third trigger strength corresponding to the cooling fan. The opening degree of the proportional overflow valve, the power of the heating rod, and the speed of the cooling fan are determined by the first trigger intensity, the second trigger intensity, and the third trigger intensity, respectively.

6. The solid-state battery production control method according to claim 5, characterized in that, The compensation strategy for the isostatic pressing equipment is determined based on the initial density of the embryo and the heat loss of the high-pressure chamber, including: The initial density of the embryo is obtained using the density sensor, and the heat loss of the high-pressure chamber is determined using the temperature and pressure values ​​corresponding to the pressure transmission medium. If the initial density is greater than a preset first density threshold, then a first compensation strategy corresponding to the proportional relief valve opening is determined using a first proportional parameter corresponding to the first density threshold; wherein, the first compensation strategy is to increase the current proportional relief valve opening according to the first proportional parameter. If the initial density is less than a preset second density threshold, then a second compensation strategy corresponding to the proportional relief valve opening is determined using the second proportional parameter corresponding to the first density threshold; wherein, the second compensation strategy is to reduce the current proportional relief valve opening according to the second proportional parameter; If the heat loss is greater than a preset third density threshold, then a third compensation strategy corresponding to the heating rod power is determined using a third proportional parameter corresponding to the third density threshold; wherein, the third compensation strategy is to increase the current heating rod power according to the third proportional parameter; If the heat loss is less than a preset fourth density threshold, then the fourth compensation strategy corresponding to the heating rod power is determined using the fourth proportional parameter corresponding to the fourth density threshold; wherein, the fourth compensation strategy is to reduce the current heating rod power according to the fourth proportional parameter.

7. The solid-state battery production control method according to claim 6, characterized in that, The control parameters corresponding to the proportional overflow valve opening, the heating rod power, and the cooling fan speed are determined using the compensation strategy, including: The membership degrees corresponding to the opening degree of the proportional overflow valve, the power of the heating rod, and the speed of the cooling fan are obtained based on preset discrete sampling points. The control parameters corresponding to the proportional overflow valve opening, the heating rod power, and the cooling fan speed are determined by the number of sampling points of the discrete sampling points, the first trigger strength, the second trigger strength, the third trigger strength, the membership degree, and the compensation strategy, respectively.

8. The solid-state battery production control method according to claim 7, characterized in that, Controlling the operation of the proportional relief valve, heating rod, and cooling fan in the isostatic pressure apparatus using the control parameters includes: Based on the control parameters, the proportional opening commands corresponding to the proportional overflow valve, the heating rod, and the cooling fan are determined respectively, and the proportional opening commands are used to control the operation of the proportional overflow valve, the heating rod, and the cooling fan respectively; Obtain the material density and temperature-pressure curve of the embryo, and save the material density, the temperature-pressure curve and the control parameters to a preset storage module.

9. A solid-state battery production control system, characterized in that, The system is used for pressure and temperature control of the isostatic pressing equipment in the solid-state battery production process; the system includes: An initialization module is used to perform initial calibration on the sensors in the temperature isostatic pressing equipment, set the process target parameters corresponding to the temperature isostatic pressing equipment, and initialize the fuzzy control parameters corresponding to the temperature isostatic pressing equipment based on the sensors. The data acquisition and processing module is used to control the sensor to acquire the temperature and pressure values ​​of the pressure transmission medium after the solid-state battery preform is detected to be placed in the high-pressure chamber of the isostatic pressing equipment and the pressure transmission medium injection and high-pressure chamber sealing process are completed. Based on the process target parameters, the module determines the temperature deviation result corresponding to the temperature value and the pressure deviation result corresponding to the pressure value. An adaptive fuzzification module is used to determine the membership function corresponding to the fuzzy control parameter using the temperature deviation result and the pressure deviation result, and to calculate the membership degree corresponding to the temperature value and the pressure value using the membership function; The hierarchical rule reasoning module is used to determine the proportional overflow valve opening, heating rod power, and cooling fan speed of the isostatic pressure device based on the temperature value, the pressure value, and their corresponding membership degree. The clarity calculation processing module is used to determine the compensation strategy corresponding to the isostatic pressing device based on the initial density corresponding to the embryo and the heat loss corresponding to the high-pressure chamber, and to use the compensation strategy to determine the control parameters corresponding to the proportional overflow valve opening, the heating rod power and the cooling fan speed. The control execution processing module is used to control the proportional overflow valve, heating rod and cooling fan in the isostatic pressing equipment to operate through the control parameters until the preform is pressed.

10. A thermostatic pressure apparatus, characterized in that, include: Main unit: includes a high-pressure chamber and a pressure-transmitting medium circulation device; the high-pressure chamber is used to provide a sealed compression space; The pressure-transmitting medium in the pressure-transmitting medium circulation device is uniformly distributed around the solid-state battery blank. Sensing unit: includes pressure sensor, temperature sensor and density sensor, used to collect pressure data, temperature data and material density data in real time; The execution unit includes a proportional relief valve, a heating rod, and a cooling fan, used to adjust the pressure, temperature, and cooling rate of the pressure-transmitting medium. Storage unit: includes a touch screen and a memory; the touch screen is used to provide a process parameter setting interface and display real-time data, and the memory is used to store historical data; Control unit: connected to the main unit, the sensing unit, the execution unit and the storage unit respectively; when the control unit uses the main unit, the sensing unit, the execution unit and the storage unit to control the pressure and temperature of the corresponding preform in the solid-state battery production process, it adopts the steps of the solid-state battery production control method according to any one of claims 1 to 8.

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