Impurity removal optimization method of sodium battery positive electrode material

Abstract

The invention discloses an impurity removal optimization method for a sodium battery positive electrode material, and relates to the technical field related to sodium batteries, and the method comprises the following steps: determining an impurity-containing sodium battery positive electrode material, and collecting impurity information of the sodium battery positive electrode material; determining an impurity removal medium according to the impurity type in the impurity information, wherein the impurity removal medium is a liquid solution or gas; the impurity-containing sodium battery positive electrode material is inserted into the impurity removal cavity, and rotation optimization control is performed on the rotary suite through rotation driving parameters of the rotary driving module so as to drive the impurity removal medium injected into the impurity removal cavity to flow, so that impurity removal is performed on the surface of the impurity-containing sodium battery positive electrode material. And after impurity removal is completed, controlling the rotary driving module to stop rotating to obtain the sodium battery positive electrode material after impurity removal. The technical problems that in the prior art, due to the fact that different types of impurities are difficult to remove, the impurity removal efficiency is low, impurity removal is incomplete, and the material loss is large are solved, and the technical effects that the material loss is reduced, and the impurity removal efficiency and accuracy are improved are achieved.

Description

Technical Field

[0001] This application relates to the technical field of sodium batteries, and particularly to a method for optimizing impurity removal of the positive electrode material of sodium batteries. Background Art

[0002] The positive electrode material of a sodium battery is one of the key factors affecting the performance of the sodium battery. The purity of the material directly affects the electrochemical performance and service life of the battery. During the synthesis of the positive electrode material of the sodium battery, impurities are often introduced due to factors such as raw materials and process conditions, resulting in problems such as a decrease in the cycle life of the battery and a reduction in energy density. Efficient impurity removal treatment of the positive electrode material of the sodium battery is a crucial step. Currently, the impurity removal of the positive electrode material of the sodium battery mainly focuses on removing impurities in the material through physical or chemical means, such as through methods like ultrasonic waves, heat treatment, and pickling. However, traditional impurity removal methods have disadvantages such as low impurity removal efficiency, large material damage, and complex operations. Moreover, it is difficult to achieve precise and efficient removal of different types of impurities, thereby affecting the purity of the positive electrode material of the sodium battery and the battery performance.

[0003] In the current related technologies, there are technical problems such as difficulty in removing different types of impurities, resulting in low impurity removal efficiency, incomplete impurity removal, and large material loss. Summary of the Invention

[0004] This application provides a method for optimizing impurity removal of the positive electrode material of a sodium battery, which solves the technical problems in the prior art of difficulty in removing different types of impurities, resulting in low impurity removal efficiency, incomplete impurity removal, and large material loss, and achieves the technical effects of reducing material loss, improving impurity removal efficiency, and accuracy.

[0005] This application provides a method for optimizing impurity removal of the positive electrode material of a sodium battery, which is applied to a rotating impurity removal component. The rotating impurity removal component includes a rotating kit and an impurity removal cavity formed by the rotating kit. The method includes: determining the positive electrode material of the sodium battery containing impurities, and collecting impurity information of the positive electrode material of the sodium battery; determining an impurity removal medium according to the type of impurity in the impurity information, and the impurity removal medium is a liquid solution or a gas; inserting the positive electrode material of the sodium battery containing impurities into the impurity removal cavity, and performing rotational optimization control on the rotating kit through the rotational drive parameters of the rotational drive module to drive the flow of the impurity removal medium injected into the impurity removal cavity, for removing impurities on the surface of the positive electrode material of the sodium battery containing impurities. After the impurity removal is completed, control the rotational drive module to stop rotating to obtain the positive electrode material of the sodium battery after impurity removal.

[0006] In a possible implementation, the method for optimizing impurity removal of the sodium battery cathode material further performs the following processing: performing real-time sensing on the sodium battery cathode material containing impurities by the impurity removal detector to obtain real-time impurity indicators; inputting the real-time impurity indicators into the rotation driving module, and obtaining matching rotation control parameters in the stage corresponding to the real-time impurity indicators according to the multi-stage rotation control model, including rotation speed and rotation duration; and the rotation driving module drives the rotation kit to rotate according to the matching rotation control parameters.

[0007] In a possible implementation, the method for optimizing impurity removal of the sodium battery cathode material further performs the following processing: obtaining impurity removal requirement information according to the impurity information of the sodium battery cathode material; collecting the cavity structure information of the impurity removal cavity; performing linkage control analysis on the impurity removal requirement information and the cavity structure information to determine medium control parameters based on the selected impurity removal medium, including flow parameters and temperature parameters; and the medium control module controls the impurity removal medium injected into the impurity removal cavity according to the medium control parameters.

[0008] In a possible implementation, the method for optimizing impurity removal of the sodium battery cathode material further performs the following processing: obtaining multiple groups of training data sets corresponding to the multiple stage modes; respectively performing individual model training on each stage mode in the multiple stage modes according to the multiple groups of training data sets to obtain multiple rotation control sub-models corresponding to the multiple stage modes; performing stage coupling optimization on the multiple rotation control sub-models, and outputting optimized multiple rotation control sub-models; and connecting the optimized multiple rotation control sub-models in sequence to output the multi-stage rotation control model.

[0009] In a possible implementation, the method for optimizing impurity removal of the sodium battery cathode material further performs the following processing: establishing a shared training network layer, and performing shared connection on the model parameters of the multiple rotation control sub-models according to the shared training network layer, wherein the output of the previous stage rotation control sub-model is connected to the input of the next stage rotation control sub-model; defining multiple stage objectives of the multiple stage modes and a global objective of the multiple stage modes; and training the gradient information of the shared training network layer according to the multiple stage objectives and the global objective, and performing backpropagation update on the parameters of the multiple rotation control sub-models to output optimized multiple rotation control sub-models.

[0010] In a possible implementation, the method for optimizing impurity removal of the sodium battery cathode material further performs the following processing: the multiple stage modes at least include a first stage mode, a second stage mode, and a third stage mode, the first stage mode is a low-speed pre-rotation mode, the second stage mode is a high-speed rotation mode, and the third stage mode is a deceleration finishing rotation mode.

[0011] In a possible implementation, the method for optimizing impurity removal of the sodium battery cathode material further performs the following processing: Each training data set in the multiple groups of training data sets includes impurity information samples, medium control parameter samples, rotation control parameter samples, and identification information indicating the impurity removal effect in the corresponding stage mode during the historical impurity removal process; wherein, the impurity removal effect includes the impurity removal rate on the material surface, the electrochemical performance of the material, the consumption of the impurity removal medium, the impurity removal time, and the resource energy consumption.

[0012] In a possible implementation, the method for optimizing impurity removal of the sodium battery cathode material further performs the following processing: The inner part of the groove of the rotation kit is set as a streamline structure for guiding the uniform flow of the impurity removal medium.

[0013] In a possible implementation, the method for optimizing impurity removal of the sodium battery cathode material further performs the following processing: The rotation drive module includes a servo motor and an adjustable rotation axis core structure; the rotation kit is rotated by the servo motor according to the rotation drive parameters, and the adjustable rotation axis core structure adjusts the axis core according to the size and weight of the sodium battery cathode material containing impurities.

[0014] It is intended to determine the sodium battery cathode material containing impurities through the method for optimizing impurity removal of the sodium battery cathode material proposed in this application, and collect the impurity information of the sodium battery cathode material; determine the impurity removal medium according to the impurity type in the impurity information, and the impurity removal medium is a liquid solution or a gas; insert the sodium battery cathode material containing impurities into the impurity removal cavity, and perform rotation optimization control on the rotation kit through the rotation drive parameters of the rotation drive module to drive the flow of the impurity removal medium injected into the impurity removal cavity for removing impurities on the surface of the sodium battery cathode material containing impurities. After the impurity removal is completed, control the rotation drive module to stop rotating to obtain the sodium battery cathode material after impurity removal. This solves the technical problems in the prior art that it is difficult to remove different types of impurities, resulting in low impurity removal efficiency, incomplete impurity removal, and large material loss, and achieves the technical effects of reducing material loss, improving impurity removal efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments of the present invention will be briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the operations in the front or below do not necessarily need to be executed precisely in sequence. On the contrary, according to the need, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0016] Figure 1Schematic structural diagram of the rotating impurity removal component during operation in the impurity removal optimization method for the sodium battery cathode material provided by the embodiments of the present application.

[0017] Figure 2 Schematic flow diagram of the impurity removal optimization method for the sodium battery cathode material provided by the embodiments of the present application.

[0018] Figure 3 Schematic flow diagram of the rotation optimization control in the impurity removal optimization method for the sodium battery cathode material provided by the embodiments of the present application.

[0019] Explanation of reference numerals: Sodium battery cathode material 10, rotation kit 20, impurity removal cavity 30, servo motor 40. Detailed implementation manners

[0020] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the description. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the detailed implementation manners of the present application.

[0021] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings. The described embodiments should not be regarded as limitations of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0022] In the following description, "some embodiments" are involved, which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The terms "first\second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, product or server including a series of steps does not necessarily have to be limited to those steps clearly listed, but may include other steps not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0023] The embodiments of the present application provide an impurity removal optimization method for the sodium battery cathode material, which is applied to a rotating impurity removal component. The rotating impurity removal component includes a rotation kit and an impurity removal cavity formed by the rotation kit.

[0024] Preferably, as Figure 1As shown, the rotating impurity removal component realizes the efficient impurity removal optimization of the sodium battery cathode material 10 through rotational motion, including a rotating kit 20 and an impurity removal cavity 30 formed by the rotating kit. Specifically, the rotating kit is usually driven by a servo motor 40 to provide rotational power, including rotatable components such as a rotating shaft, a rotating disk, rotating blades, etc. The rotational motion drives the medium to flow, promoting the full contact between the impurity removal medium (such as a liquid solution or gas) and the sodium battery cathode material, and by means of centrifugal force or flow effect, the removal of impurities is achieved within the impurity removal cavity; the impurity removal cavity is a closed container or chamber that houses the sodium battery cathode material and the impurity removal medium. The rotation of the rotating kit forms a rotating flow field, enabling the impurity removal medium within the cavity to flow fully around the cathode material, thereby removing surface impurities.

[0025] As Figure 2 shown, the method for optimizing the impurity removal of the sodium battery cathode material includes: Step S100, determine the sodium battery cathode material containing impurities and collect the impurity information of the sodium battery cathode material.

[0026] Preferably, screen the sodium battery cathode material to confirm whether there are impurities in the material, that is, determine the sodium battery cathode material containing impurities and clarify its specific situation. Specifically, during the synthesis, processing, or storage of the sodium battery cathode material, some unnecessary substances (such as metal ions, inorganic salts, pollutants, etc.) may be adsorbed or mixed in. These impurities affect the electrochemical performance of the cathode material. For example, through chemical detection methods (such as X-ray fluorescence spectrometry, atomic absorption spectrometry, ICP-MS, etc.), determine the components in the sodium battery cathode material and identify the impurities therein. Use particle size analysis, surface analysis (such as scanning electron microscope analysis, SEM), etc. to evaluate the morphology, distribution of the impurities and their possible effects on the material. Through techniques such as infrared spectroscopy (FTIR), ultraviolet-visible spectroscopy (UV-Vis), etc., detect the chemical structure and components on the surface of the cathode material, and then discover the possible impurities therein.

[0027] Preferably, after determining that the sodium battery cathode material contains impurities, further collect the impurity information of the sodium battery cathode material to determine the most suitable impurity removal medium. Specifically, accurately identify the chemical composition of the impurities to determine the type of impurities. For example, they may be metal impurities (such as iron, aluminum, etc.), non-metal impurities (such as sulfur, phosphorus, etc.) or other contaminants (such as moisture, organic matter, etc.). Different types of impurities have different effects on the electrochemical performance of the cathode material. Then, through quantitative analysis techniques (such as ICP-OES, X-ray fluorescence spectrometry, etc.), determine the concentration or mass percentage of the impurities, and accurately understand the content of the impurities in order to select a suitable impurity removal medium. By collecting the activity information of the impurities, it is possible to better judge which impurities are likely to react, decompose or be removed with the impurity removal medium, thereby determining the nature of the impurity removal medium (such as acidity, alkalinity, oxidizing property, etc.) to select the most suitable impurity removal medium and ensure the efficiency of impurity removal and the quality of the sodium battery cathode material.

[0028] Step S200, determine the impurity removal medium according to the type of impurities in the impurity information, and the impurity removal medium is a liquid solution or a gas.

[0029] Preferably, select the impurity removal medium according to the type of impurities in the impurity information. Among them, the impurity removal medium is a liquid solution (chemically dissolve or physically wash away impurities) or a gas (non-contact or dry cleaning). Specifically, if the impurities are metal ions (such as iron, aluminum, etc.), a liquid solution with specific chelating effects may be required, such as a cleaning solution containing a chelating agent or an acidic solution (such as dilute hydrochloric acid, ethylenediaminetetraacetic acid solution); if the impurities are oxides or inorganic salts, a weak base solution (such as dilute sodium hydroxide solution) or an organic solvent with a dissolving effect can be used; if the impurities are fine particles or dust, a gas may be required as the medium (such as high-pressure air flow, inert gas or active gas) for blowing or gas-liquid separation; for surface-attached impurities, a surfactant solution can be selected to increase the contact with the surface and improve the cleaning efficiency; for internally embedded impurities, a solution with stronger permeability or a liquid or gas may need to be pushed deep into the particle pores by rotational power; active gases (such as oxygen) combined with heating can oxidize and remove certain types of impurities. Through the reasonable matching of the impurity removal medium and the optimized control of the rotary impurity removal equipment, efficient and precise impurity removal of the sodium battery cathode material can be achieved.

[0030] Step S300, insert the sodium battery cathode material containing impurities into the impurity removal cavity, and perform rotational optimization control on the rotary kit through the rotational drive parameters of the rotary drive module to drive the impurity removal medium injected into the impurity removal cavity to flow, for removing impurities on the surface of the sodium battery cathode material containing impurities. After the impurity removal is completed, control the rotary drive module to stop rotating to obtain the sodium battery cathode material after impurity removal.

[0031] Preferably, the sodium battery cathode material to be processed (containing a certain type and amount of impurities) is placed in a purification cavity. The purification cavity is used to accommodate the cathode material and the purification medium, and can process the material during the purification process, ensuring that the purification medium can uniformly contact the surface of the material. Then, the rotation of the rotation kit is optimized and controlled through the rotation drive parameters of the rotation drive module. Among them, the rotation drive module is responsible for providing the rotation force, so that the rotation kit (such as a rotating disk, rotating blades, a rotating shaft, etc.) rotates in the purification cavity. The control parameters of the rotation drive module (such as rotation speed, rotation angle, rotation frequency, etc.) will be optimized and adjusted according to specific purification requirements. The rotation drives the purification medium to flow in the cavity, enabling the medium to uniformly and strongly cover the surface of the cathode material, improving the efficiency of removing impurities. Moreover, the centrifugal force and hydrodynamic force generated by the rotation can promote the full contact between the purification medium and the impurities on the surface of the cathode material, thereby accelerating the removal of impurities.

[0032] Preferably, through rotation drive, the purification medium (such as gas or liquid solution) in the purification cavity is driven to flow. The flowing medium will undergo physical or chemical reactions with the impurities on the surface of the sodium battery cathode material to remove the surface impurities. Specifically, the flowing medium enhances the friction and scouring effects with the impurities on the material surface. At the same time, if a liquid solution is used, it can also utilize the dissolution effect to remove the impurities dissolved in the liquid. Meanwhile, the fluidity brought by rotation improves the purification efficiency. Especially for stubborn impurities attached to the surface, the rotational movement can more effectively remove them. After the purification is completed (i.e., the impurities of the cathode material are effectively removed), the rotation drive module will stop rotating. At this time, the flow of the purification medium will also stop, ensuring that the purification process ends in an optimal state. The sodium battery cathode material after purification has removed the surface or internal impurities, improving the material purity, effectively enhancing the purification efficiency and avoiding damage to the cathode material, and improving the energy density and cycle stability of the sodium battery.

[0033] Furthermore, as Figure 3 shown, step S300 further includes step S310. The rotation drive module includes a multi-stage rotation control model, and the rotation drive module is connected to a purification detector. The real-time impurity index is obtained by the real-time sensing of the sodium battery cathode material containing impurities by the purification detector. Step S320: Input the real-time impurity index into the rotation drive module, and obtain the matching rotation control parameters of the stage matching the real-time impurity index according to the multi-stage rotation control model, including rotation speed and rotation duration. Step S330: The rotation drive module drives the rotation kit to rotate according to the matching rotation control parameters.

[0034] Preferably, the rotation drive module is the core control unit in the entire impurity removal process, responsible for driving the movement of the rotation kit through rotation. It mainly adjusts the rotation speed, rotation direction, and rotation duration of the rotation kit according to different impurity removal requirements, so as to optimize the impurity removal effect. It includes a multi-stage rotation control model, that is, the rotation drive module has multiple preset rotation stages, and each stage corresponds to different rotation parameters, which are used to deal with different types and degrees of impurity conditions. The rotation control parameters (such as rotation speed, rotation duration, etc.) of each stage are optimized according to different impurity characteristics. For example, when there are more or more stubborn impurities, a higher rotation speed and a longer rotation time may be required to ensure the impurity removal effect. For a small amount of minor impurities, a lower rotation speed and a shorter duration are needed; the impurity removal detector is a real-time monitoring device, which is used to detect information such as the type, content, and distribution of impurities in the positive electrode material of the sodium battery. It is closely connected to the rotation drive module to jointly achieve the real-time regulation of the impurity removal process. Specifically, the impurity removal detector senses the impurity information of the positive electrode material of the sodium battery and feeds the real-time detection data back to the rotation drive module, and the rotation drive module dynamically adjusts the rotation parameters based on these data.

[0035] Preferably, a real-time sensing is carried out on the positive electrode material of the sodium battery containing impurities by using an impurity removal detector (including image recognition, spectral analyzer, sensor, etc.), that is, detecting and recording the impurity information in the positive electrode material of the sodium battery, such as impurity type, distribution, and concentration, and then generating a real-time impurity index, that is, quantitative data reflecting the impurity situation, including the type, content, distribution pattern, etc. of the impurities; then a rotation control model is used to match appropriate rotation control parameters, that is, the real-time impurity index is input into the rotation drive module and processed by using a preset multi-stage rotation control model, that is, the most suitable stage is selected according to different impurity conditions, and the matching rotation control parameters corresponding to each stage are optimized and output, including rotation speed and rotation duration. Among them, the rotation speed is used to control the rotation speed of the rotation kit. High-speed rotation can enhance the flow of the impurity removal medium, thereby improving the impurity removal efficiency. The rotation duration is used to control the duration of the rotation process to ensure that the impurity removal medium can fully act on the surface of the positive electrode material; finally, the rotation drive module controls the rotation of the rotation kit according to the determined matching rotation control parameters. Specifically, the movement of the rotation kit is controlled by devices such as motors, including precisely adjusting the speed and time of the rotation kit, and then driving the rotation kit to rotate according to the rotation speed and rotation duration, thereby driving the flow of the impurity removal medium (such as liquid solution or gas), and then carrying out efficient and precise impurity removal on the positive electrode material of the sodium battery to ensure that the quality of the positive electrode material of the sodium battery reaches the best state.

[0036] Further, step S300 further includes that the rotation driving module is also connected to the medium control module. Step A: Obtain impurity removal requirement information according to the impurity information of the sodium battery cathode material. Step B: Collect the cavity structure information of the impurity removal cavity. Step C: Perform linkage control analysis on the impurity removal requirement information and the cavity structure information to determine the medium control parameters based on the selected impurity removal medium, including flow parameters and temperature parameters. Step D: The medium control module controls the impurity removal medium injected into the impurity removal cavity according to the medium control parameters.

[0037] Preferably, the medium control module is responsible for adjusting the flow, temperature and other physical parameters (such as pressure, concentration, etc.) of the impurity removal medium to ensure that the impurity removal medium can act on the surface impurities of the sodium battery cathode material in the most appropriate way. By cooperating with the rotation driving module, the use of the impurity removal medium is jointly optimized during the impurity removal process, thereby improving the impurity removal efficiency. Specifically, obtain the impurity removal requirement information according to the impurity information of the sodium battery cathode material, that is, obtain the types of impurities, such as metal ions (such as Fe, Mn, etc.), non-metal impurities (such as sulfides, oxides, etc.), particulate impurities, etc., the concentration or content of impurities in the cathode material, such as high-concentration impurities or slight contamination, the distribution characteristics of impurities, such as whether the impurities are evenly distributed, whether they are mainly concentrated on the surface or inside, etc., and then determine how long and how intense the impurity removal needs to be, and which type of impurity removal medium (gas or liquid) to use to remove these impurities.

[0038] Preferably, the cavity structure information of the impurity removal cavity (specific structural parameters of the impurity removal cavity) is collected, including the volume and shape of the cavity, the inner wall characteristics of the cavity (such as whether there is a special coating, whether there is a design to increase the fluid contact area, etc.), the positions of the air inlet and outlet and their flow rate requirements (which determine the injection and discharge methods of the impurity removal medium and whether it can evenly cover the surface of the positive electrode material); then the impurity removal requirement information and the cavity structure information are analyzed in a linked manner, that is, according to the type and content of the impurities and the structural characteristics of the cavity, the medium control parameters suitable for the current impurity removal requirements are determined, including flow parameters and temperature parameters. Specifically, based on the impurity removal requirement information, it is judged whether stronger medium flow is required (such as increasing the flow rate, increasing the pressure), whether the temperature needs to be increased (some impurities may need to be removed by temperature control to accelerate the removal process), or whether the type of the medium (gas or liquid) needs to be changed. Among them, the flow parameter refers to the flow rate of the medium in the impurity removal cavity. If the flow rate is too low, it may not be able to fully cover the surface of the positive electrode material. If the flow rate is too high, it may cause unnecessary energy waste or affect the impurity removal effect. The temperature parameter means that some impurities may be removed by heating (such as some metal oxides are removed by reacting with a solvent through heating). According to the impurity removal requirements and the cavity design, the temperature needs to be precisely controlled; finally, the medium control module precisely controls the impurity removal medium according to the determined flow parameters and temperature parameters. For example, the flow rate and flow of the medium are controlled by adjusting equipment such as pumps, valves or fans to ensure that it can flow evenly and cover the surface of the positive electrode material, and the temperature of the medium is controlled by a heater or a cooling system to ensure that the temperature is within an appropriate range, achieving an optimized impurity removal effect, ensuring that the state of the medium matches the impurity removal requirements, and thus realizing an efficient and precise impurity removal effect and ensuring the impurity removal efficiency.

[0039] Further, step S310 further includes step S311, where the multi-stage rotation control model includes multiple stage modes; step S312, obtaining multiple sets of training data sets corresponding to the multiple stage modes; step S313, separately training each stage mode in the multiple stage modes according to the multiple sets of training data sets to obtain multiple rotation control sub-models corresponding to the multiple stage modes; step S314, performing stage coupling optimization on the multiple rotation control sub-models and outputting the optimized multiple rotation control sub-models; step S315, connecting the optimized multiple rotation control sub-models in sequence and outputting the multi-stage rotation control model.

[0040] Step S312 further includes that each set of training data sets in the multiple sets of training data sets includes an impurity information sample, a medium control parameter sample, a rotation control parameter sample, and an identification information indicating the impurity removal effect corresponding to the stage mode during the historical impurity removal process; among them, the identification of the impurity removal effect includes the impurity removal rate on the material surface, the electrochemical performance of the material, the consumption of the impurity removal medium, the impurity removal time, and the resource energy consumption.

[0041] Preferably, the multi-stage rotation control model includes multiple stage modes, that is, multiple different stages are set, and each stage represents a rotation control strategy, providing different rotation control parameters (such as speed, duration, temperature, etc.) for different impurity types or concentrations to ensure the accuracy and efficiency of the impurity removal process; specifically, multiple sets of training data sets corresponding to multiple stage modes are obtained, that is, according to different impurity removal requirements and cavity structure information, multiple data sets are collected from experimental data and historical data, that is, including the relationship between the control parameters under different rotation control modes and the actual impurity removal effect, specifically including the impurity information samples corresponding to the stage mode during the historical impurity removal process (the specific situation of impurities in the positive electrode material of the sodium battery at the beginning of impurity removal, such as impurity types, impurity distribution, and impurity concentration), medium control parameter samples (parameter data used to control the impurity removal medium during the historical impurity removal process, such as medium type, medium flow rate, and medium temperature), rotation control parameter samples (control parameters for the rotation drive module in each stage mode in history, such as rotation mode, rotation speed, and rotation duration), and identification information indicating the impurity removal effect, where the identification of the impurity removal effect is an index used to measure the success or failure of each impurity removal process, reflecting the quality and efficiency of the output, including the impurity removal rate on the material surface (measuring the degree to which impurities on the material surface are removed), the electrochemical performance of the material (reflecting the application effect of the material after impurity removal), the consumption of the impurity removal medium (recording the amount of medium used in each impurity removal process), the impurity removal time (indicating the time required to complete each impurity removal), and resource energy consumption (reflecting the energy and resource consumption situation of each impurity removal process, such as electric energy, material loss, etc.).

[0042] Preferably, each stage mode in the multiple stage modes is separately model-trained according to multiple sets of training data sets, that is, the mode of each stage adjusts parameters such as rotation speed and rotation duration according to factors such as different impurity conditions and cavity structures. Through machine learning algorithms (such as regression analysis, neural networks, etc.), based on the data of each stage, for example, by inputting known impurity information and cavity structure data, the expected rotation parameters are output, and a rotation control sub-model is trained, which can predict the optimal rotation control parameters under a given impurity condition and cavity structure. Similarly, multiple rotation control sub-models corresponding to multiple stage modes are trained.

[0043] Preferably, stage coupling optimization is performed on multiple rotation control sub-models, that is, after the training of each rotation control sub-model is completed, global optimization is carried out to ensure that these models can work together effectively. Specifically, since the rotation control sub-model of each stage is trained based on different impurity removal requirements, the parameters need to be reasonably coupled to avoid conflicts or inefficiencies with each other, and to ensure that when switching from one stage to another, the change of the rotation control parameters is smooth and there is no violent fluctuation. Through optimization algorithms (such as genetic algorithms, particle swarm optimization, etc.), when the models of each stage work together, the overall effect is optimal; finally, multiple optimized rotation control sub-models are connected in sequence, that is, the optimized sub-models are connected in series to form a multi-stage rotation control model, which can intelligently select the appropriate rotation control stage according to the impurity removal requirements, impurity information, and cavity structure, and automatically select and adjust rotation parameters (such as speed, duration, etc.), so as to achieve an efficient and accurate impurity removal effect, ensure that different types, concentrations, and distributions of impurities can be processed, and ensure the impurity removal quality of the sodium battery cathode material.

[0044] Further, step S314 further includes step S314a of establishing a shared training network layer and sharing and connecting the model parameters of the multiple rotation control sub-models according to the shared training network layer, wherein the output of the previous-stage rotation control sub-model is connected to the input of the next-stage rotation control sub-model; step S314b of defining multiple stage objectives of the multiple stage modes and a global objective of the multiple stage modes; and step S314c of training the gradient information of the shared training network layer according to the multiple stage objectives and the global objective, performing backpropagation update on the parameters of the multiple rotation control sub-models, and outputting multiple optimized rotation control sub-models.

[0045] Step S314b further includes that the multiple stage modes at least include a first stage mode, a second stage mode, and a third stage mode. The first stage mode is a low-speed pre-rotation mode, the second stage mode is a high-speed rotation mode, and the third stage mode is a deceleration finishing rotation mode.

[0046] Preferably, the shared training network layer is a deep learning framework for jointly optimizing multiple rotation control sub-models, which is used to share partial parameters and information of different sub-models, enhance the cooperation between models, and reduce parameter redundancy at the same time. Specifically, the results of each rotation control sub-model not only affect the control effect of this stage, but also provide input data for the next stage. The shared network layer will use some network parameters (such as weights, biases, etc.) for multiple sub-models. Especially when dealing with similar characteristics (such as the same type of impurity), it can improve the training efficiency and reduce the model complexity. Then, multiple stage objectives and a global objective are defined. Among them, the multiple stage objectives at least include the first stage mode, the second stage mode, and the third stage mode. The first stage mode is the low-speed pre-rotation mode (mainly stripping initial loose impurities to reduce the burden of subsequent stages), the second stage mode is the high-speed rotation mode (efficiently removing stubborn impurities, which is the core of the entire impurity removal process), and the third stage mode is the deceleration finishing rotation mode (finishing cleaning, avoiding secondary adhesion, and reducing resource consumption at the same time). The global objective is the overall performance index of multiple stage modes. For example, the total efficiency of the entire impurity removal process (the total percentage of removed impurities), and the optimization of the energy consumption during operation (such as minimizing the rotation energy consumption and the amount of medium used).

[0047] Preferably, the gradient information of the shared training network layer is trained according to multiple stage objectives and the global objective, that is, the errors (or losses) of multiple stage objectives and the global objective are combined to calculate the overall gradient information, which represents the change sensitivity of the current model parameters to the objective function (such as the loss function). Then, through the backpropagation algorithm, the gradient information is reversely transmitted from the last stage to the rotation control sub-models of each stage to update the parameters of these sub-models. For example, calculate the error of each stage mode (the difference between the stage objective and the actual output), accumulate the error into the global objective, calculate the total error, use the total error to calculate the gradients of the parameters of each sub-model, and adjust the model parameters through the gradient descent algorithm, so that the model gradually approaches the optimal state, and finally outputs multiple optimized rotation control sub-models, ensuring the logical continuity from rough impurity cleaning to fine cleaning and improving the overall efficiency of the impurity removal process.

[0048] Furthermore, the inner part of the groove of the rotation kit is set as a streamline structure for guiding the uniform flow of the impurity removal medium.

[0049] Preferably, the inside of the groove of the rotation kit is set to a streamlined structure to enable the impurity removal medium to flow along a specific path during rotation, which is used to guide the uniform flow of the impurity removal medium, help the medium better cover the material surface, and thus improve the impurity removal efficiency. Specifically, the streamlined structure refers to the shape design inside the groove being similar to the streamline shape in hydrodynamics, aiming to reduce the resistance when the cathode material flows, making the flow smoother and more uniform, reducing turbulence, bubbles and resistance, increasing the stability and uniformity of the cathode material flow, avoiding areas with uneven or non-flowing flow rates, and ensuring that the impurity removal medium can effectively cover each part of the sodium battery cathode material, thereby effectively removing impurities and ensuring the overall impurity removal efficiency.

[0050] Furthermore, step S300 further includes that the rotation drive module includes a servo motor and an adjustable rotation axis core structure; the servo motor drives the rotation kit to rotate according to the rotation drive parameters, and the adjustable rotation axis core structure adjusts the axis core according to the size and weight of the sodium battery cathode material containing impurities.

[0051] Preferably, the rotation drive module includes a servo motor and an adjustable rotation axis core structure. The servo motor can accurately adjust the rotation speed, position and movement mode of the rotation kit according to the input rotation drive parameters (such as rotation speed, rotation duration, rotation direction, etc.), ensuring the uniform flow of the impurity removal medium and thus improving the impurity removal effect; the adjustable rotation axis core structure is used to adjust the rotation axis core according to the different sizes and weights of the sodium battery cathode materials to ensure the precise operation of the rotation kit. Specifically, the adjustable rotation axis core structure precisely adjusts the axis core according to the specific size and weight of the material to ensure that the rotation kit always rotates at the best angle and speed. For example, the size of the sodium battery cathode material may vary due to production batches or designs, and the rotation kit needs to adjust the position of the axis core according to the size of the material so that the rotation kit can correctly contact the material surface; the different weights of the cathode materials may also affect the movement stability of the rotation kit, and the adjustable axis core structure can adjust the supporting force of the axis core according to the weight of the material to ensure the smooth operation of the rotation kit, thereby avoiding rotation instability or poor impurity removal effect caused by material imbalance.

[0052] The above specific embodiments do not constitute a limitation on the protection scope of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of this application shall be included within the protection scope of this application. In some cases, the actions or steps recorded in this application can be executed in a sequence different from that in the embodiments and still achieve the desired results. Additionally, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A method for optimizing the removal of impurities from positive electrode materials for sodium batteries, characterized in that: The method is applied to a rotating impurity removal component, wherein the rotating impurity removal component comprises a rotating sleeve and an impurity removal cavity formed by the rotating sleeve, and the method comprises: Determining a sodium battery positive electrode material containing impurities, and collecting impurity information of the sodium battery positive electrode material; Determine an impurity removal medium according to the impurity type in the impurity information, wherein the impurity removal medium is a liquid solution or a gas; Insert the impurity-containing sodium battery positive electrode material into the impurity removal cavity, and optimize the rotation of the rotating kit through the rotation drive parameters of the rotation drive module to drive the impurity removal medium injected into the impurity removal cavity to flow, so as to remove impurities from the surface of the impurity-containing sodium battery positive electrode material. After the impurity removal is completed, the rotation drive module is controlled to stop rotating to obtain the impurity-removed sodium battery positive electrode material.

2. The method for optimizing the impurity removal of the positive electrode material of a sodium battery according to claim 1, characterized in that: The rotational optimization control of the rotational kit is performed by the rotational driving parameters of the rotational driving module, the rotational driving module includes a multi-stage rotational control model, and the rotational driving module is connected to the impurity removal detector, and the method includes: Real-time sensing of the sodium battery positive electrode material containing impurities is performed according to the impurity removal detector to obtain a real-time impurity index; Inputting the real-time impurity index into the rotation driving module, and acquiring matching rotation control parameters of the real-time impurity index matching stage according to the multi-stage rotation control model, including rotation speed and rotation duration; The rotation driving module drives the rotation kit to rotate according to the matching rotation control parameter.

3. The method for optimizing the impurity removal of the positive electrode material of a sodium battery according to claim 2, characterized in that: The rotation driving module is also connected to the medium control module, and the method includes: Obtaining impurity removal requirement information according to the impurity information of the sodium battery positive electrode material; Collecting cavity structure information of the impurity removal cavity; Performing linkage control analysis on the impurity removal demand information and the cavity structure information to determine medium control parameters based on the selected impurity removal medium, including flow parameters and temperature parameters; The medium control module controls the impurity removal medium injected into the impurity removal cavity according to the medium control parameters.

4. The method for optimizing the impurity removal of the positive electrode material of a sodium battery according to claim 2, characterized in that: The multi-stage rotation control model includes a plurality of stage modes; Acquire multiple sets of training data sets corresponding to the multiple stage modes; Performing separate model training on each of the multiple phase modes according to the multiple sets of training data sets to obtain multiple rotation control sub-models corresponding to the multiple phase modes; Performing stage coupling optimization on the multiple rotation control sub-models, and outputting the optimized multiple rotation control sub-models; The optimized multiple rotation control sub-models are connected in sequence to output the multi-stage rotation control model.

5. The method for optimizing the impurity removal of the positive electrode material of a sodium battery according to claim 4, characterized in that: The multiple rotation control sub-models are subjected to stage coupling optimization, the method comprising: Establishing a shared training network layer, and performing shared connection on the model parameters of the plurality of rotation control sub-models according to the shared training network layer, wherein the output of the rotation control sub-model of the previous stage is connected with the input of the rotation control sub-model of the next stage; defining a plurality of stage goals of the plurality of stage modes, and a global goal of the plurality of stage modes; The gradient information of the shared training network layer is trained according to the multiple stage objectives and the global objective, the parameters of the multiple rotation control sub-models are back-propagated and updated, and the optimized multiple rotation control sub-models are output.

6. The method for optimizing the impurity removal of the positive electrode material of a sodium battery according to claim 5, characterized in that: The multiple stage modes include at least a first stage mode, a second stage mode and a third stage mode. The first stage mode is a low-speed pre-rotation mode, the second stage mode is a high-speed rotation mode, and the third stage mode is a deceleration final rotation mode.

7. The method for optimizing the impurity removal of the positive electrode material of a sodium battery according to claim 4, characterized in that: Each of the plurality of training data sets includes impurity information samples, medium control parameter samples, rotation control parameter samples and identification information for identifying the impurity removal effect in a corresponding stage mode during a historical impurity removal process; Among them, the identification and impurity removal effect includes the impurity removal rate of the material surface, the electrochemical properties of the material, the consumption of the impurity removal medium, the impurity removal time and the resource and energy consumption.

8. The method for optimizing the impurity removal of the positive electrode material of a sodium battery according to claim 1, characterized in that: The interior of the groove of the rotating sleeve is arranged as a streamlined structure for guiding the impurity removal medium to flow evenly.

9. The method for optimizing impurity removal of the positive electrode material of a sodium battery according to claim 1, characterized in that: The rotation drive module includes a servo motor and an adjustable rotation shaft core structure; The servo motor drives the rotating kit to rotate according to the rotation driving parameters, and the adjustable rotating shaft core structure adjusts the shaft core according to the size and weight of the sodium battery positive electrode material containing impurities.

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