Temperature control method and system in sintering repair process of power battery positive electrode material

Abstract

The application relates to the technical field of power batteries, and discloses a temperature control method and system in a sintering repair process of a positive electrode material of a power battery. The method comprises the following steps: acquiring defect parameters of a plurality of positive electrode materials of power batteries to be repaired; analyzing the temperature and time required by each positive electrode material of the power battery to be repaired in different stages of a sintering repair process through a preset temperature prediction model to obtain corresponding multistage temperature control curves; calculating the influence of a heating source on different positions in a sintering furnace, dividing the sintering furnace into a plurality of grid areas, and setting a heating source in each grid area; analyzing the heating state required by each grid area, constructing a target state matrix, and controlling the heating mode of the heating source in each grid area and the moving time of the positive electrode material of the power battery to be repaired. The application can realize the real-time addition and accurate temperature control of the battery material in the sintering repair process, and improves the quality of the sintering repair of the positive electrode material of the power battery.

Description

Technical Field

[0001] This application relates to the field of power battery technology, and in particular to a temperature control method and system for the sintering and repair process of positive electrode materials in power batteries. Background Technology

[0002] With the rapid development of the new energy vehicle industry, the recycling of power batteries can improve the utilization rate of battery materials. By sintering and repairing the positive electrode material of power batteries, the power batteries can be reused, realizing the recycling of battery resources and improving economic benefits.

[0003] Existing technologies suffer from the following problems: they employ a single, fixed temperature curve, failing to consider the defect differences of different cathode materials, making it difficult to accurately match different repair needs; in terms of sintering furnace temperature control, they lack detailed analysis of different regions within the furnace, treating the sintering furnace as a whole for unified temperature control, making it impossible to adjust the temperature characteristics of each region, resulting in insufficient temperature control accuracy; the addition of materials and switching of process stages require shutdown for parameter adjustments, affecting the continuity of the repair process, making it difficult to ensure stable temperature control, and impacting repair quality and efficiency; to solve at least one of the above problems, this invention proposes a temperature control method and system for the sintering repair process of power battery cathode materials. Summary of the Invention

[0004] To address the shortcomings of existing technologies, the main objective of this application is to provide a temperature control method and system for the sintering and repair process of positive electrode materials in power batteries, which can effectively solve the problems in the background technology. The specific technical solution of this invention is as follows:

[0005] Temperature control methods during the sintering and repair process of positive electrode materials for power batteries include:

[0006] Obtain defect parameters of multiple positive electrode materials of the power battery to be repaired;

[0007] Based on the defect parameters, the temperature and time required for different stages of the sintering repair process of each positive electrode material of the power battery to be repaired are analyzed by a preset temperature prediction model to obtain the corresponding multi-level temperature control curves.

[0008] By calculating the influence of the heating source on different locations inside the sintering furnace, the sintering furnace is divided into grids to obtain multiple grid regions, and a heating source is set in each grid region.

[0009] Based on the positive electrode material of the power battery to be repaired placed in each grid area, and combined with the corresponding multi-level temperature control curve, the heating state required for each grid area is analyzed, and a target state matrix is ​​constructed.

[0010] Based on the target state matrix, the heating mode of the heating source and the movement time of the positive electrode material of the power battery to be repaired in each grid area are controlled to achieve temperature control during the sintering repair process of the positive electrode material of the power battery.

[0011] Specifically, based on the defect parameters, a preset temperature prediction model is used to analyze the temperature and time required for different stages of the sintering repair process of each positive electrode material of the power battery to be repaired, resulting in corresponding multi-level temperature control curves. These stages include a heating stage, a holding stage, and a cooling stage.

[0012] Based on the defect parameters of each positive electrode material of the power battery to be repaired, a comprehensive defect score is calculated using a preset defect evaluation model.

[0013] Based on the comprehensive defect score, the required temperatures and times for the heating, heat preservation, and cooling stages are predicted by a preset temperature prediction model, generating multiple basic curves.

[0014] The multiple basic curves are connected in chronological order to obtain the corresponding multi-level temperature control curves.

[0015] Specifically, the process involves calculating the impact of the heating source on different locations within the sintering furnace, dividing the sintering furnace into multiple grid regions, and setting a heating source in each grid region, including:

[0016] Based on the heating method of the heating source, the influence of the heat source on the heat is analyzed to obtain the heat distribution in the sintering furnace;

[0017] Based on the heat distribution, the grid size is determined, and the sintering furnace is divided into grids to obtain multiple grid regions.

[0018] Set up a heating source in each grid area.

[0019] Specifically, the grid size is determined based on the heat distribution, and the sintering furnace is divided into multiple grid regions, including:

[0020] Based on the heat distribution, the heat diffusion range of each heating source is analyzed, and the temperature gradient vector at each point in the sintering furnace is calculated.

[0021] The grid size is calculated by analyzing the heating range and the heat preservation range using the temperature gradient vector.

[0022] The sintering furnace is divided into multiple grid regions based on the grid size.

[0023] Specifically, based on the positive electrode material of the power battery to be repaired placed in each grid area, and combined with the corresponding multi-level temperature control curves, the required heating state of each grid area is analyzed to construct a target state matrix, including:

[0024] Determine the corresponding coordinate matrix based on the positive electrode material of the power battery to be repaired placed in each grid area;

[0025] By combining the multi-level temperature control curves of the corresponding positive electrode material of the power battery to be repaired with the coordinate matrix, the heating state required for each grid region is analyzed to obtain the heating state matrix.

[0026] When the positive electrode material of the power battery to be repaired is replaced or the heating stage is switched, the heating state matrix is ​​updated to obtain the target state matrix.

[0027] Specifically, when switching between the replacement or heating stages of the positive electrode material of the power battery to be repaired, the heating state matrix is ​​updated to obtain the target state matrix, including:

[0028] When the positive electrode material of the power battery to be repaired is replaced or the heating stage is switched, the grid area that needs to be updated in the heating state is identified, and the grid area to be updated is obtained.

[0029] By combining the multi-level temperature control curves corresponding to the replaced positive electrode material of the power battery to be repaired or the heating stage after switching, the heating state of the grid area to be updated is updated to obtain the updated state parameters.

[0030] The heating state matrix is ​​updated based on the updated state parameters to obtain the target state matrix.

[0031] Specifically, based on the target state matrix, controlling the heating mode of the heating source and the movement time of the positive electrode material of the power battery to be repaired in each grid region to achieve temperature control during the sintering repair process of the positive electrode material of the power battery includes:

[0032] Map each element of the target state matrix to the heating state of the corresponding grid region heating source to obtain the heating source mode matrix;

[0033] After the sintering repair process of the positive electrode material of the power battery to be repaired in the first grid area is completed, the heating mode of the heating source and the movement time of the positive electrode material of the power battery to be repaired in the first grid area are controlled in combination with the heating status of the adjacent grid areas of the first grid area to obtain an updated first grid area.

[0034] During the sintering repair process, the heating mode of the heating source in the grid area is updated repeatedly until the sintering repair of all the positive electrode materials of the power battery to be repaired is completed.

[0035] Specifically, mapping each element of the target state matrix to the heating state of the corresponding grid region heating source to obtain the heating source mode matrix includes:

[0036] When the value of a matrix element in the target state matrix is ​​greater than 1, the heating state of the heating source in the grid region corresponding to the matrix element is mapped to the heating state.

[0037] When the value of a matrix element in the target state matrix is ​​equal to 1, the heating state of the heating source in the grid region corresponding to the matrix element is mapped to the heat preservation state.

[0038] When the value of a matrix element in the target state matrix is ​​less than 1, the heating state of the heating source in the grid region corresponding to the matrix element is mapped to the cooling state.

[0039] By combining the heating state, heat preservation state, and cooling state, the heating source state of each grid area is set to obtain the heating source mode matrix.

[0040] Specifically, after the sintering repair process of the positive electrode material of the power battery to be repaired in the first grid region is completed, the heating mode of the heating source and the movement time of the positive electrode material of the power battery to be repaired in the first grid region are controlled in combination with the heating state of the adjacent grid regions of the first grid region to obtain an updated first grid region, including:

[0041] Once the sintering repair process is completed in the positive electrode material of the power battery to be repaired in the first grid area, a sintering completion signal is generated.

[0042] Based on the sintering completion signal, and combined with the multi-level temperature control curves of the positive electrode material of the power battery to be repaired in the eight grid regions adjacent to the first grid region, the heating state of the adjacent grids in the eight grid regions is calculated.

[0043] Based on the heating state of the adjacent grids, the heating mode of the heating source in the first grid region and the movement time of the positive electrode material of the power battery to be repaired are controlled to obtain an updated first grid region.

[0044] A temperature control system for the sintering and repair process of positive electrode materials in power batteries, used to implement the temperature control method for the sintering and repair process of positive electrode materials in power batteries, including:

[0045] The data acquisition module acquires defect parameters of multiple positive electrode materials of the power battery to be repaired;

[0046] The temperature analysis module analyzes the temperature and time required for different stages of the sintering repair process of each positive electrode material of the power battery to be repaired, based on the defect parameters and a preset temperature prediction model, and obtains the corresponding multi-level temperature control curves.

[0047] The mesh generation module calculates the impact of the heating source on different locations within the sintering furnace, divides the sintering furnace into multiple mesh regions, and sets a heating source in each mesh region.

[0048] The target state matrix construction module analyzes the heating state required for each grid area based on the positive electrode material of the power battery to be repaired placed in each grid area and the corresponding multi-level temperature control curve, and constructs the target state matrix.

[0049] The temperature control module controls the heating mode of the heating source and the movement time of the positive electrode material of the power battery to be repaired in each grid area based on the target state matrix, so as to achieve temperature control during the sintering repair process of the positive electrode material of the power battery.

[0050] Compared with the prior art, this application has the following beneficial effects:

[0051] This application customizes a personalized temperature control scheme based on the defect conditions of different power battery cathode materials. The sintering furnace is divided into grids, and battery cathode materials and heating sources are placed in each grid area. By analyzing the sintering repair process of the corresponding materials and the state of the heating sources, a state control matrix is ​​calculated. The complex temperature control model simulation in the sintering furnace is transformed into matrix calculation, reducing the amount of computation. At the same time, waste cathode materials can be added at any time, and the matrix can be quickly updated after material replacement. The heating source of each grid is controlled in real time according to the updated matrix, thereby realizing the addition of battery materials at any time and precise temperature control during the sintering repair process, improving the quality of sintering repair of power battery cathode materials. Attached Figure Description

[0052] Figure 1 This is a flowchart illustrating the temperature control method during the sintering and repair process of the positive electrode material of the power battery in Embodiment 1 of the present invention.

[0053] Figure 2 This is a schematic diagram of the sintering furnace grid division process in Embodiment 1 of the present invention;

[0054] Figure 3 This is a schematic diagram of the temperature gradient vector analysis process of the sintering furnace in Embodiment 1 of the present invention;

[0055] Figure 4 This is a schematic diagram of the heating state of the grid area surrounding the heating source in Embodiment 1 of the present invention;

[0056] Figure 5 This is a schematic diagram of the heating state of the overlapping grid region of the heating source in Embodiment 1 of the present invention;

[0057] Figure 6This is a schematic diagram of the temperature control system during the sintering and repair process of the positive electrode material of the power battery in Embodiment 2 of the present invention.

[0058] Attached diagram labels: 0, cooling state; 1, heat preservation state; 2, heating state. Detailed Implementation

[0059] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0060] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0061] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0062] Example 1

[0063] This embodiment provides a temperature control method during the sintering and repair process of positive electrode materials for power batteries, such as... Figure 1 As shown, the temperature control method during the sintering repair process of the positive electrode material of a power battery includes:

[0064] S101. Obtain defect parameters of multiple positive electrode materials of the power battery to be repaired;

[0065] S102. Based on the defect parameters, the temperature and time required for different stages of the sintering repair process of each power battery cathode material to be repaired are analyzed using a preset temperature prediction model to obtain the corresponding multi-level temperature control curves.

[0066] S103. By calculating the influence of the heating source on different locations inside the sintering furnace, the sintering furnace is divided into grids to obtain multiple grid regions, and a heating source is set in each grid region.

[0067] S104. Based on the positive electrode material of the power battery to be repaired placed in each grid area, and combined with the corresponding multi-level temperature control curve, analyze the heating state required for each grid area and construct the target state matrix.

[0068] S105. Based on the target state matrix, the heating mode of the heating source and the movement time of the positive electrode material of the power battery to be repaired in each grid area are controlled to achieve temperature control during the sintering repair process of the positive electrode material of the power battery.

[0069] This embodiment analyzes the temperature required for the sintering repair process of the cathode material based on the defect parameters of the cathode material. The sintering furnace is divided into grids according to the heat distribution in the sintering furnace. The corresponding cathode material of the power battery to be repaired is placed in each grid area, and a heating source is set in each grid. The heating state of the heating source of each grid is controlled in conjunction with the sintering repair process of the cathode material.

[0070] Compared to the traditional method of conveying battery cathode materials to different temperature zones in a sintering furnace via a conveyor belt for sintering repair, this application divides the sintering furnace into multiple grids. Within each grid, the corresponding battery cathode material undergoes a complete sintering repair process. After sintering repair, the repaired battery cathode material can be removed at any time, and new battery cathode material to be repaired can be placed. The heating status of the heating source in each grid is controlled based on the material movement process. By dividing the furnace into grid areas, the battery cathode material to be repaired can be placed and removed as needed. This improves the space utilization of the sintering furnace by utilizing each grid area for material repair. Furthermore, by controlling the heating status of the heating source in each grid, precise temperature control within the sintering furnace is achieved. This ensures that each cathode material to be repaired is sintered and repaired at the most suitable temperature, effectively reducing repair defects caused by unsuitable temperatures and improving material performance and quality.

[0071] In this embodiment, firstly, defect parameters of multiple positive electrode materials of the power battery to be repaired are collected. Different positive electrode materials of power batteries will have various defects during production and use. These defects will have a significant impact on the performance of the materials. For example, crystal structure defects will affect the arrangement and diffusion of atoms, the presence of impurities will change the chemical reactivity of the materials, and uneven particle size will lead to inconsistent heat transfer and reaction rates inside the materials. Specifically, X-ray diffraction (XRD) technology is used to emit X-rays to the positive electrode materials. The crystal structure information of the materials, such as lattice constant, crystal orientation, and whether there is lattice distortion, is analyzed based on the diffraction of X-rays inside the materials. Accurate acquisition of defect parameters can provide detailed and accurate data support for temperature control.

[0072] Specifically, based on the collected defect parameters, the required temperature for the material during the sintering repair process is analyzed. A pre-set temperature prediction model, specifically a neural network model, is used to predict the required temperature. This model is trained using a large amount of historical data to obtain a pre-trained temperature prediction model. Based on this model, the required temperatures for the sintering repair process of different power battery cathode materials are predicted, specifically the temperatures required for the heating, main sintering, and cooling stages. The predicted temperature data for these stages are then connected in chronological order to form a continuous multi-level temperature control curve, reflecting the temperature changes required at different stages of the cathode material's sintering repair process. This multi-level temperature control curve, generated based on the specific defect conditions of different materials, allows the sintering repair process to more accurately meet the material's needs. Compared to traditional fixed temperature curves, this effectively improves the repair effect of power battery cathode materials.

[0073] Furthermore, based on the influence of the heating source on different locations within the furnace, the sintering furnace is divided into grids, resulting in multiple grid regions. This grid division takes into account the uneven temperature distribution at different locations within the sintering furnace. The contribution of the heating source to the temperature of different regions is analyzed. Differences in the distance from the heating source and the heat transfer method between different regions within the sintering furnace lead to uneven temperature distribution. The heat from the heating source is transferred to various regions within the furnace through conduction, convection, and radiation. Regions closer to the heating source experience a faster temperature rise, while regions farther away experience a slower temperature rise. By analyzing the influence of the heating source on the surrounding heat, the sintering furnace is divided into grids, with an independent heating source set up in each grid region. Controlling the heating state of each heating source allows for precise temperature control of each grid region, ensuring that the heating state of the corresponding grid matches the heating stage required during the sintering and repair process of the placed material, thus improving repair quality. Based on the material requirements of different grid regions, the heating state of the grid heating sources is adjusted accordingly, enhancing the flexibility and adaptability of temperature control within the sintering furnace.

[0074] Specifically, after dividing the battery into different grid regions, positive electrode materials are placed in each grid region to achieve simultaneous sintering and repair of multiple materials, thereby improving sintering and repair efficiency. Simultaneously, based on the multi-level temperature control curves of the placed positive electrode materials to be repaired, the required heating states for each grid region at different time points are determined. Combining the coordinate positions of the grid regions with the corresponding required heating states, a target state matrix is ​​constructed. By analyzing the required heating states for the positive electrode materials to be repaired in each grid region, the target state matrix is ​​constructed, providing a basis for controlling the heating source in each grid region. This ensures that the materials in each grid region are heated according to the corresponding temperature control curves, improving the accuracy of sintering and repair.

[0075] Specifically, after calculating the target state matrix, the heating mode of the heating source in each grid region is analyzed according to the target state matrix. The heating state of the heating source in the corresponding grid region is controlled according to the corresponding heating mode to ensure that the temperature state of each grid region is consistent with the corresponding multi-level temperature control curve. At the same time, the placement and removal time of the positive electrode material of the power battery to be repaired in the grid region are controlled to ensure that the material is removed after the entire sintering repair process is completed and placed back in when the temperature of the grid region meets the sintering repair start temperature of the corresponding material, ensuring that the material can be fully and accurately repaired. By precisely controlling the temperature of each grid region, the material can be kept in the optimal temperature environment during the sintering repair process, improving the repair quality. By controlling the material movement time, the material can complete the complete sintering repair process, improving the quality of the repaired material and increasing the sintering repair efficiency.

[0076] This application customizes a personalized temperature control scheme based on the defect conditions of different power battery cathode materials. The sintering furnace is divided into grids, and battery cathode materials and heating sources are placed in each grid area. By analyzing the sintering repair process of the corresponding materials and the state of the heating sources, a state control matrix is ​​calculated. The complex temperature control model simulation in the sintering furnace is transformed into matrix calculation, reducing the amount of computation. At the same time, waste cathode materials can be added at any time, and the matrix can be quickly updated after material replacement. The heating source of each grid is controlled in real time according to the updated matrix, thereby realizing the addition of battery materials at any time and precise temperature control during the sintering repair process, improving the quality of sintering repair of power battery cathode materials.

[0077] Furthermore, based on the defect parameters, the temperature and time required for different stages of the sintering repair process of each positive electrode material of the power battery to be repaired are analyzed using a preset temperature prediction model, resulting in corresponding multi-level temperature control curves. These stages include a heating stage, a holding stage, and a cooling stage.

[0078] S201. Based on the defect parameters of each positive electrode material of the power battery to be repaired, calculate the comprehensive defect score through a preset defect evaluation model.

[0079] S202. Based on the comprehensive defect score, the required temperature and time for the heating, heat preservation and cooling stages are predicted by the preset temperature prediction model, and multiple basic curves are generated.

[0080] S203. Connect the multiple basic curves in chronological order to obtain the corresponding multi-stage temperature control curves.

[0081] This embodiment analyzes the defect conditions of the corresponding cathode materials based on the defect parameters of the power battery cathode materials, and generates corresponding temperature control curves by combining the different defect conditions of different materials. This enables personalized temperature control. By formulating different temperature control curves, the sintering repair needs of different materials can be better met, thereby improving the repair effect and material performance.

[0082] In this embodiment, defect analysis is performed on each cathode material of the power battery to be repaired. First, based on the defect parameters of each cathode material, the defect evaluation model is trained using a large amount of historical data. A weight is assigned to each parameter using the preset defect evaluation model, and a comprehensive defect score is calculated. Defect parameters include the degree of crystal structure defects, the type and content of impurities, and particle size distribution. For each defect parameter, the collected values ​​are quantified to obtain a specific numerical value. The quantified score of each defect parameter is multiplied by its corresponding weight, and all results are summed to calculate the comprehensive defect score. By calculating the comprehensive defect score, multiple complex defect parameters are integrated into a single value, which can more comprehensively reflect the overall defect status of the material, avoiding the incompleteness caused by a single defect parameter, thereby accurately predicting the temperature required for sintering repair.

[0083] For example, regarding the degree of crystal structure defects, indicators such as the degree of lattice distortion are quantified and scored based on X-ray diffraction (XRD) analysis results. Small lattice distortion is scored 1-3 points; moderate distortion is scored 4-6 points; and severe distortion is scored 7-10 points. For impurity content, specific content values ​​are measured using atomic absorption spectroscopy (AAS) and then graded and scored. Multiple experiments revealed that crystal structure defects have the most critical impact on sintering repair, thus assigning a high weight (e.g., 0.5) to crystal structure defect parameters; the impact of impurity content is relatively small, assigned a weight of 0.2; and particle size distribution is assigned a weight of 0.3. A weighted calculation is performed based on the quantified defect parameters and their corresponding weights to obtain the corresponding comprehensive defect score.

[0084] Specifically, based on the calculated comprehensive defect score, a pre-set temperature prediction model is used to predict the temperature required for the sintering process of the positive electrode material of the power battery. The temperature prediction model is a neural network model, which is trained using a large amount of historical data to obtain a pre-trained temperature prediction model. The calculated comprehensive defect score is input into the trained temperature prediction model, and the model will output the temperature required for the material in the heating stage, the main sintering stage, and the cooling stage. For the heating stage, the model outputs a heating rate and a final heating temperature; for the main sintering stage, it outputs a stable sintering temperature and sintering time; for the cooling stage, it outputs a cooling rate and a final cooling temperature. Based on the predicted temperature data of each stage, temperature curves for the heating stage, the main sintering stage, and the cooling stage are plotted with time as the horizontal axis and temperature as the vertical axis. By accurately predicting the temperature and time required for each stage, the uncertainty and inefficiency of traditional methods that rely on experience or trial and error to determine the temperature are avoided.

[0085] Simultaneously, after obtaining the temperature curves, multiple temperature curve segments are spliced ​​together in chronological order to obtain multi-level temperature control curves. Among the multiple basic curve segments, the endpoints of the heating segment curve and the starting points of the main sintering segment curve, as well as the endpoints of the main sintering segment curve and the starting points of the cooling segment curve, are determined as connection points. The multiple curve segments are then smoothly connected to obtain continuous multi-level temperature control curves. Through multi-level temperature control curves, a complete and continuous temperature control scheme is provided for the sintering repair process, facilitating temperature control in actual production. Based on the requirements of the curves, the power of the heating equipment can be accurately adjusted to achieve precise control of the sintering process.

[0086] Furthermore, by calculating the impact of the heating source on different locations within the sintering furnace, the sintering furnace is divided into multiple grid regions, and a heating source is set in each grid region, including:

[0087] S301. Based on the heating method of the heating source, analyze the heat influence of the heating source to obtain the heat distribution in the sintering furnace.

[0088] S302. Determine the grid size based on the heat distribution, and divide the sintering furnace into multiple grid regions;

[0089] S303. Set a heating source in each grid area.

[0090] This embodiment divides the sintering furnace into grids, analyzes the heating conditions of the heating source, calculates the heat influence range of the heating source, determines the grid size based on the heat influence range, and divides the sintering furnace into grids such that the divided grid areas, as shown... Figure 2As shown, when the grid heating source is in the heating state, the first outermost grid is in the heating zone, the second outermost grid is in the heat preservation zone, and the third outermost grid is in the cooling zone. After the grid is divided, the heating state of each grid area can be controlled by controlling the state of the grid heating source.

[0091] In this embodiment, firstly, the heat influence of the heating source is analyzed according to the heating method of the heating source to obtain the heat distribution in the sintering furnace. Then, the temperature contribution weight of the heating source to the surrounding space is calculated by combining the heat conduction equation and distance. The specific calculation formula is as follows:

[0092] ;

[0093] ;

[0094] In the formula, T is the temperature. Here, Q is the temperature Laplace operator, Q is the internal heat source term, and k is the thermal conductivity. For thermal diffusivity, The rate of change of temperature over time. Assign a weight to the temperature contribution of heating source i to grid j. Let J be the temperature change of grid j. Let i be the heating source power. Let i be the distance between the heating source i and the grid j. The attenuation coefficient is denoted by . By analyzing the heat conduction of the heating source, the heat distribution within the sintering furnace can be determined, thereby optimizing the grid area division and the adjustment of the heating source's heating state to improve heating efficiency and uniformity.

[0095] Based on the above formulas, the distances when heating source i has no temperature contribution to grid j, the distances when heating source i contributes temperature to grid j and can keep the temperature of grid j within the corresponding temperature range, and the distances when heating source i contributes temperature to grid j and can make the temperature of grid j continuously rise are calculated respectively. The corresponding grid size is determined by combining the calculated distances to make the temperature distribution in each grid area uniform, and the heating state of each grid area is independently controlled to improve the quality of material sintering repair.

[0096] After determining the grid size, the sintering furnace is divided into multiple grid regions based on the determined grid size. A heating source is set in each grid region, and the heating source of each grid region can be controlled individually, thereby controlling the heating status of the surrounding grid regions. This ensures that the positive electrode material of the power battery to be repaired in each grid region can be sintered and repaired at a suitable temperature. Through independent control of the heating source, temperature interference between heating sources in different grid regions can be avoided, improving the accuracy and flexibility of temperature control.

[0097] Furthermore, based on the heat distribution, the grid size is determined, and the sintering furnace is divided into multiple grid regions, including:

[0098] S401. Based on the heat distribution, analyze the heat diffusion range of each heating source and calculate the temperature gradient vector at each point in the sintering furnace.

[0099] S402. The grid size is calculated by analyzing the heating range and the heat preservation range using the temperature gradient vector.

[0100] S403. Divide the sintering furnace into multiple grid regions according to the grid size.

[0101] like Figure 3 As shown, this embodiment analyzes the heat diffusion range of each heating source based on the heat distribution, determines the temperature gradient vector at each point in the sintering furnace, and analyzes the temperature rise range of heat diffusion around the heating source based on the temperature gradient vector. Figure 3 The dense middle arrows indicate a high degree of heat diffusion and the insulation range ( Figure 3 The sparse middle arrows indicate a low degree of heat diffusion. The grid size is calculated based on the corresponding range, and the sintering furnace is divided into multiple grid regions to control the heating state of each grid region.

[0102] In this embodiment, by analyzing the heat diffusion range of the heating source, the temperature gradient vector around the heating source is calculated. Based on the calculated temperature contribution weight of the heating source to the surrounding space, the temperature change around each heating source is analyzed. By taking the partial derivative of the temperature contribution weight, the temperature gradient vector around the heating source is calculated, which can reflect the temperature change trend and degree around the heating source in the sintering furnace and provide a basis for mesh division.

[0103] Specifically, the heating range and the holding range are determined based on the calculated temperature gradient vector. A temperature gradient vector threshold is set. When the magnitude of the temperature gradient vector exceeds the threshold, the corresponding area is classified as the heating range. The area where the magnitude of the temperature gradient vector is lower than the threshold and the temperature change is gradual is classified as the holding range. The grid size is determined by averaging the straight-line distances between the boundary of the heating range and the heating source, and the straight-line distances between the boundary of the holding range and the heating source. The grid size is calculated through the heating and holding ranges. The grid division result better meets the temperature control requirements of different stages in the material sintering repair process, thus improving the repair quality.

[0104] Based on the determined grid size, the internal space of the sintering furnace is divided into multiple grid regions. In the divided grid regions, when the grid heating source is in a heating state, the first grid region to the outside is in a heating state, the second grid region to the outside is in a heat preservation state, and the third grid region to the outside is in a cooling state. The heating state of the surrounding grid regions can be calculated based on the heating state of one heating source, which can improve the efficiency and accuracy of temperature control in each region of the sintering furnace.

[0105] Furthermore, based on the cathode material of the power battery to be repaired placed in each grid region, and combined with the corresponding multi-level temperature control curves, the required heating state for each grid region is analyzed, and a target state matrix is ​​constructed, including:

[0106] S501. Determine the corresponding coordinate matrix based on the positive electrode material of the power battery to be repaired placed in each grid area;

[0107] S502. Combining the multi-level temperature control curves and coordinate matrices of the corresponding positive electrode material of the power battery to be repaired, analyze the heating state required for each grid region to obtain the heating state matrix.

[0108] S503. When the positive electrode material of the power battery to be repaired is replaced or the heating stage is switched, the heating state matrix is ​​updated to obtain the target state matrix.

[0109] This embodiment determines the coordinates of each grid region based on its position in the sintering furnace, resulting in a coordinate matrix. A heating state matrix is ​​then constructed by combining this coordinate matrix with the required heating state of the battery cathode material to be repaired in each grid region. When the sintering repair process in a grid region is completed, the battery material within that region is replaced. During material replacement and heating phase switching, the required heating state changes accordingly. The heating state matrix is ​​updated based on the switching conditions to obtain the target state matrix. By analyzing the target state of each grid region, the heating state of each grid region within the sintering furnace can be precisely controlled according to the characteristics of the battery cathode material to be repaired within each grid. This ensures that the material is heated according to a multi-level temperature control curve throughout the sintering repair process, improving the material repair quality and material performance.

[0110] In this embodiment, firstly, the coordinates of each grid region are determined according to the location of each grid region, and the coordinates are matched with the positive electrode material of the power battery to be repaired placed in the grid region to construct a coordinate matrix. By constructing the coordinate matrix, the corresponding positional relationship between the grid region and the material is established. The coordinate matrix can be used to quickly search for the placement position of the material and control the heating state of each grid region.

[0111] Specifically, by combining the multi-level temperature control curves of the positive electrode material of the power battery to be repaired placed in each grid area, the heating state required for the sintering repair process of the material in each grid area is analyzed to obtain the required heating state for each grid area. For example, the analysis of the multi-level temperature control curve of the material placed in grid A shows that the heating stage is in the first 1-2 hours, which requires heating to 350℃; the holding stage is in the second 2-4 hours, which requires holding at 350-400℃; and the cooling stage is in the fourth 4-5 hours, which requires cooling down to 200℃.

[0112] Preferably, the sintering repair process of the material within each grid region is analyzed, and the required heating states for each grid region at different time points are organized into a matrix. When the heating state is in the heating rise stage, the heating state of the corresponding grid is marked with a value greater than 1; when the heating state is in the holding stage, the heating state of the corresponding grid is marked as 1; and when the heating state is in the cooling stage, the heating state of the corresponding grid is marked as 0. Based on the heating state of each grid region determined by the analysis, a corresponding heating state matrix is ​​constructed. The heating state matrix provides a precise target heating state for the heating source of each grid region, ensuring that the material is in the optimal temperature environment during the sintering repair process and improving the repair quality. At the same time, the temperature control process in the sintering furnace is transformed into a matrix calculation and analysis process, reducing the amount of computation and improving the efficiency of temperature control.

[0113] During the sintering repair process, the heating stage of the material changes, and the heating state of the corresponding grid area also changes. The heating state matrix is ​​updated based on the changed heating state. Simultaneously, after the sintering repair process of the material in a grid area is completed, the material needs to be removed and a new positive electrode material of the power battery to be repaired needs to be placed. Based on the material replacement process, the heating stage of the new material is analyzed, and the heating state matrix is ​​updated to obtain the target state matrix. By updating the heating state matrix in real time, changes in the material and repair stage can be responded to in a timely manner, ensuring that the control of the heating source matches the temperature control requirements of the corresponding material, thereby improving the stability and reliability of the sintering repair process.

[0114] Furthermore, during the replacement of the positive electrode material of the power battery to be repaired or the switching of the heating stage, the heating state matrix is ​​updated to obtain the target state matrix, including:

[0115] S601. When the replacement or heating stage of the positive electrode material of the power battery to be repaired is switched, the grid area that needs to be updated in the heating state is identified, and the grid area to be updated is obtained.

[0116] S602. By combining the multi-level temperature control curves corresponding to the replaced positive electrode material of the power battery to be repaired or the heating stage after switching, the heating state of the grid area to be updated is updated to obtain the updated state parameters.

[0117] S603. Update the heating state matrix according to the updated state parameters to obtain the target state matrix.

[0118] In this embodiment, temperature sensors, position sensors, and other monitoring devices are installed at key locations inside the sintering furnace to identify the replacement of the positive electrode material of the power battery to be repaired and the switching process of the heating stage. The grid area corresponding to the identified location area is taken as the grid area to be updated. By identifying the grid area to be updated, the heating state of the grid area to be updated can be adjusted accordingly, reducing interference to other normally operating grid areas and maintaining the stability of temperature control inside the sintering furnace.

[0119] For the grid area to be updated, the heating state of the grid area to be updated is determined by analyzing the multi-level temperature control curves corresponding to the replaced positive electrode material of the power battery or the heating stage after the switch, and the corresponding update state parameters are calculated. By analyzing the update state parameters of each grid area to be updated, it is ensured that the updated heating state can accurately meet the temperature control requirements of the material under the new conditions, thereby improving the sintering repair quality.

[0120] Specifically, the heating state matrix is ​​updated based on the updated state parameters to obtain the target state matrix. The calculated updated state parameters are then used to replace the parameters at the corresponding positions in the matrix, ensuring that the matrix information matches the current actual temperature control requirements. This provides precise control commands for the heating source and guarantees the accuracy and stability of temperature control during the sintering repair process.

[0121] Furthermore, based on the target state matrix, the heating mode of the heating source and the movement time of the positive electrode material of the power battery to be repaired in each grid region are controlled to achieve temperature control during the sintering repair process of the positive electrode material of the power battery, including:

[0122] S701. Map each matrix element in the target state matrix to the heating state of the corresponding grid region heating source to obtain the heating source mode matrix;

[0123] S702. After the sintering repair process of the positive electrode material of the power battery to be repaired in the first grid area is completed, the heating mode of the heating source of the first grid area and the movement time of the positive electrode material of the power battery to be repaired are controlled in combination with the heating status of the adjacent grid areas of the first grid area to obtain an updated first grid area.

[0124] S703. During the sintering repair process, the heating mode update process of the heating source in the grid area is repeated until the sintering repair of all the positive electrode materials of the power battery to be repaired is completed.

[0125] In this embodiment, each element of the target state matrix is ​​mapped to the heating state of the heating source. The control mode of each grid heating source is calculated based on the target state matrix, resulting in a heating source mode matrix. By analyzing the correspondence between the elements of the target state matrix and the working modes of the heating source, a mapping rule between the heating state and the heating source mode is established. Each element of the target state matrix is ​​traversed, and according to the corresponding mapping rule, the numerical information of the matrix elements is converted into the heating mode of the corresponding grid area heating source, resulting in a heating source mode matrix. By calculating the heating source mode matrix, the target state of each grid area is converted into a heating source heating mode control command, realizing the conversion from heating state parameters to heating source control commands. This allows the heating source to operate according to a predetermined temperature control scheme, thereby improving the accuracy of temperature control.

[0126] Specifically, after the sintering repair process of the positive electrode material of the power battery to be repaired in the first grid area is completed, the heating mode of the heating source in the first grid area and the movement time of the positive electrode material to be repaired are controlled in combination with the heating status of the adjacent grid areas to obtain an updated first grid area. The material that has completed the sintering repair process in the first grid area is taken out. By analyzing the temperature of the grid area and whether adjusting the heating mode of the heating source after adding new material will cause the heating status of the surrounding grids to be inconsistent with the target heating status, if adjusting the heating mode of the heating source after adding new material would cause the heating status of the surrounding grid areas to be inconsistent with the target heating status, the addition time of the new material is delayed. When the new material is added without affecting the surrounding heating status, the heating mode of the heating source is adjusted, and the sintering repair of the material continues. By adjusting the addition time of the new material in combination with the heating status of the adjacent areas, the impact of the change of the heating source mode of a single grid area on the heating status of the surrounding grid areas can be effectively avoided, the temperature stability in the sintering furnace is enhanced, and the quality of other materials being repaired is not affected.

[0127] During the sintering repair process, the material in each grid area completes the sintering repair process successively. The process of updating the heating source mode and controlling the material movement of the repaired grid areas is repeated until the material in all grid areas has completed the sintering repair process. By continuously and dynamically adjusting the heating mode of the heating source, it can be ensured that each material to be repaired is in the optimal temperature environment throughout the repair process, which effectively improves the repair success rate and post-repair performance of all materials.

[0128] Furthermore, each element in the target state matrix is ​​mapped to the heating state of the corresponding grid region heating source to obtain the heating source mode matrix, including:

[0129] S801. When the value of a matrix element in the target state matrix is ​​greater than 1, the heating state of the heating source in the grid region corresponding to the matrix element is mapped to the heating state.

[0130] S802. When the value of a matrix element in the target state matrix is ​​equal to 1, the heating state of the heating source in the grid area corresponding to the matrix element is mapped to the heat preservation state.

[0131] S803. When the value of a matrix element in the target state matrix is ​​less than 1, the heating state of the heating source in the grid region corresponding to the matrix element is mapped to the cooling state.

[0132] S804. Combining the heating state, heat preservation state, and cooling state, the heating source state of each grid area is set to obtain the heating source mode matrix.

[0133] In this embodiment, a corresponding mapping rule is set according to each matrix element in the target state matrix. When the value of a matrix element in the target state matrix is ​​greater than 1, the heating state of the heating source of the grid area corresponding to the matrix element is mapped to a heating state. In the heating state, the heating mode of the heating source of the corresponding grid area or the surrounding grid area needs to be adjusted to keep the grid area in a heating state. When the value of a matrix element in the target state matrix is ​​equal to 1, the heating state of the heating source of the grid area corresponding to the matrix element is mapped to a heat preservation state. In the heat preservation state, the heating mode of the heating source of the surrounding grid area needs to be adjusted to keep the grid area in a heat preservation state. When the value of a matrix element in the target state matrix is ​​less than 1, the heating state of the heating source of the grid area corresponding to the matrix element is mapped to a cooling state. In the cooling state, the heating sources of the surrounding grid areas do not contribute heat to the grid area, keeping the grid area in a cooling state.

[0134] Based on the target state matrix, determine the target state required for each grid region, and adjust the heating state of the heating source in the grid region to make the heating state of the corresponding grid region consistent with the target state.

[0135] Preferably, the heating source has two heating modes: heating and no heating. Heating is marked as B, and no heating is marked as b, such as... Figure 4 When the heating mode of the heating source is B, the heating state of this grid is heating up; the first layer of the grid extending outwards is heating up (state 2); the second layer of the grid extending outwards is heat preservation (state 1); and the third layer of the grid extending outwards is cooling down (state 0). Figure 5 When the influence range of the grid heating source overlaps, the corresponding state values ​​are added together. Figure 5 The area outlined by the middle line is the overlapping grid region. The heating state of the overlapping grid region is obtained by adding the corresponding state values ​​of the two heating sources affecting the temperature state of the overlapping grid region.

[0136] After obtaining the target heating state of each grid area in the sintering furnace, the heating mode of the heating source is calculated. When the heating mode of a grid heating source affects the target heating state of the surrounding grid areas to the cooling state, the heating is carried out to repair the material after the cooling phase of the grid area is completed, so as to avoid affecting the sintering repair process of other surrounding grid areas.

[0137] This embodiment determines the target heating state of each grid region and adjusts the heating mode of the grid heating source to ensure that the heating state of the grid region is consistent with the corresponding target heating state, thereby achieving precise control of the heating state of each grid region and improving the sintering repair quality of the material within each grid. By adjusting the heating mode of the heating source in a small number of grid regions, combined with the heat influence and overlap effect of the heating source on the surrounding grid regions, control of the heating state of all grid regions can be achieved, saving heating source resources and improving resource utilization. Based on the target state matrix, the heating mode of the grid heating source is calculated, transforming the complex heat distribution control in the sintering furnace into matrix calculation, improving the logic of temperature control and reducing the amount of calculation, thereby improving the efficiency and accuracy of temperature control in each grid region within the sintering furnace.

[0138] Furthermore, after the sintering repair process of the positive electrode material of the power battery to be repaired in the first grid region is completed, the heating mode of the heating source and the movement time of the positive electrode material of the power battery to be repaired in the first grid region are controlled in combination with the heating status of the adjacent grid regions of the first grid region, so as to obtain an updated first grid region, including:

[0139] S901. After the sintering repair process is completed, the positive electrode material of the power battery to be repaired in the first grid area is generated as a sintering completion signal.

[0140] S902. Based on the sintering completion signal and combined with the multi-level temperature control curves of the positive electrode material of the power battery to be repaired in the eight grid regions adjacent to the first grid region, calculate the heating state of the adjacent grids in the eight grid regions.

[0141] S903. Based on the heating status of adjacent grids, control the heating mode of the heating source in the first grid region and the movement time of the positive electrode material of the power battery to be repaired to obtain an updated first grid region.

[0142] In this embodiment, after the sintering repair process of the positive electrode material of the power battery to be repaired in the first grid area is completed, a sintering completion signal is generated. The material that has completed the sintering repair process in the first grid area is taken out in time to obtain the repaired positive electrode material of the power battery. This avoids further heating and affects the sintering repair effect of the material, thereby improving the quality of the repaired positive electrode material of the power battery.

[0143] Specifically, after removing the positive electrode material of the power battery to be repaired from the first grid area, new positive electrode material needs to be placed in. However, directly placing new material and adjusting the heating mode of the corresponding grid area's heating source would affect the heating state of the surrounding grid areas. Therefore, before placing new material, the heating state of the adjacent grids in the eight grid areas adjacent to the first grid area is calculated by combining the multi-level temperature control curves of the positive electrode material. Analyzing the heating state of adjacent grid areas avoids the impact of directly placing new material on the heating state of adjacent grid areas, ensuring the normal repair of materials in adjacent areas and improving the overall repair quality.

[0144] Since the first grid region has just completed a complete sintering repair process, the heating state of the first grid region is in the cooling state at this time, and the adjacent grids are not in the heating state. When the adjacent grids are in the cooling state, the new positive electrode material of the power battery to be repaired is put in after the cooling stage in the corresponding grid is completed. When the adjacent grids are in the heat preservation state, the cooling stage follows the heat preservation stage. The new positive electrode material of the power battery to be repaired is put in after both the heat preservation stage and the cooling stage in the corresponding grid are completed.

[0145] This embodiment analyzes the heating status of adjacent grid areas and controls the placement time of new power battery cathode material to be repaired in the first grid area. This ensures that the operation of the first grid area is coordinated with the surrounding grid areas, avoids adverse effects on the temperature of adjacent areas when adjusting the heating source mode, and determines the material movement time based on the conditions of adjacent areas. This ensures that the temperature conditions are suitable when the new material is placed and does not affect the heating status of adjacent grid areas, maintains the continuity and stability of production, and improves production efficiency and product quality.

[0146] Example 2

[0147] In this embodiment, as Figure 6 This document provides a temperature control system for the sintering and repair process of positive electrode materials in power batteries, and a method for controlling the temperature during the sintering and repair process of positive electrode materials in power batteries, including:

[0148] The data acquisition module acquires defect parameters of multiple positive electrode materials of the power battery to be repaired;

[0149] The temperature analysis module analyzes the temperature and time required for different stages of the sintering repair process of each positive electrode material of the power battery to be repaired, based on the defect parameters and a preset temperature prediction model, and obtains the corresponding multi-level temperature control curves.

[0150] The mesh generation module calculates the impact of the heating source on different locations within the sintering furnace, divides the sintering furnace into multiple mesh regions, and sets a heating source in each mesh region.

[0151] The target state matrix construction module analyzes the heating state required for each grid area based on the positive electrode material of the power battery to be repaired placed in each grid area and the corresponding multi-level temperature control curve, and constructs the target state matrix.

[0152] The temperature control module, based on the target state matrix, controls the heating mode of the heating source and the movement time of the positive electrode material of the power battery to be repaired in each grid area, so as to achieve temperature control during the sintering repair process of the positive electrode material of the power battery.

[0153] In this embodiment, the data acquisition module analyzes the physical properties of the material, such as crystal structure and microstructure, through the physical detection unit, and measures impurity elements through the chemical analysis unit to obtain defect parameters, providing data support for the temperature analysis module. This enables the temperature control process to be precisely adjusted based on the actual defect conditions of the material. The temperature analysis module calculates the comprehensive defect score through the defect evaluation unit, and then uses the temperature prediction unit to predict the temperature required for each material to be repaired at different stages of sintering repair. Based on the curve generation unit, it generates corresponding multi-level temperature control curves, providing precise temperature change targets for temperature control.

[0154] Specifically, the grid division module analyzes the heat influence of the heating source on different locations within the sintering furnace and the heat distribution within the furnace to determine the corresponding grid size, dividing the sintering furnace into multiple grid regions. An independent heating source is set up in each region, effectively solving the problem of uneven temperature within the furnace. Precise temperature control within the sintering furnace is achieved by controlling the heating state of each grid region. The target state matrix construction module analyzes the required heating state of each grid region at different time points based on the materials to be repaired placed within each grid region and their corresponding multi-level temperature control curves, combined with the coordinate position of the corresponding grid region. It constructs a target state matrix to provide target heating states for heating source control, achieving precise control of the heating state of each grid region within the sintering furnace. The temperature control module controls the heating mode of the heating source in each grid region based on the target state matrix. Simultaneously, after the sintering repair process of the materials to be repaired is completed, the timing of placing the next material to be repaired is controlled to ensure that the temperature state of the corresponding grid region when the material is placed is consistent with the initial heating state. This can be dynamically adjusted according to the actual situation during the material repair process, ensuring precise and efficient temperature control throughout the entire sintering repair process and improving the material repair effect.

[0155] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A method for temperature control in the sintering repair process of a positive electrode material of a power battery, characterized in that, The method comprises the following steps: acquiring defect parameters of a plurality of power battery positive electrode materials to be repaired; the defect parameters include crystal structure defect degree, impurity type and content, and particle size distribution; calculating a defect comprehensive score according to the defect parameters of each power battery positive electrode material to be repaired through a preset defect evaluation model; based on the defect comprehensive score, predicting the temperature and time required in the heating stage, holding stage and cooling stage through a preset temperature prediction model to generate a plurality of basic curves; connecting the plurality of basic curves in time sequence to obtain a corresponding multi-stage temperature control curve; dividing the sintering furnace into a plurality of grid areas by calculating the influence of the heating source on different positions in the sintering furnace, and setting a heating source in each grid area; analyzing the heating state required by each grid area according to the power battery positive electrode material placed in each grid area and the corresponding multi-stage temperature control curve, and constructing a target state matrix; controlling the heating mode of the heating source and the moving time of the power battery positive electrode material in each grid area based on the target state matrix to realize temperature control in the sintering repair process of the power battery positive electrode material.

2. The temperature control method in the process of repairing sintering of a positive electrode material of a power battery according to claim 1, characterized in that, The method of dividing the sintering furnace into a plurality of grid areas by calculating the influence of the heating source on different positions in the sintering furnace, and setting a heating source in each grid area, comprises the following steps: analyzing the heat influence of the heating source to obtain the heat distribution in the sintering furnace; determining the grid size based on the heat distribution to divide the sintering furnace into a plurality of grid areas; setting a heating source in each grid area.

3. The method of claim 2, wherein the temperature is controlled by, The method of determining the grid size based on the heat distribution to divide the sintering furnace into a plurality of grid areas, comprises the following steps: analyzing the heat diffusion range of each heating source according to the heat distribution to calculate the temperature gradient vector of each point in the sintering furnace; calculating the grid size by analyzing the heating range and holding range through the temperature gradient vector; dividing the sintering furnace into a plurality of grid areas according to the grid size.

4. The method of claim 1, wherein the temperature is controlled by, The method of analyzing the heating state required by each grid area according to the power battery positive electrode material placed in each grid area and the corresponding multi-stage temperature control curve to construct a target state matrix, comprises the following steps: determining the corresponding coordinate matrix according to the power battery positive electrode material placed in each grid area; analyzing the heating state required by each grid area to obtain a heating state matrix by combining the multi-stage temperature control curve of the corresponding power battery positive electrode material to be repaired and the coordinate matrix; updating the heating state matrix to obtain a target state matrix when the power battery positive electrode material to be repaired is replaced or the heating stage is switched.

5. The method of claim 4, wherein the temperature is controlled by, The method of updating the heating state matrix to obtain a target state matrix when the power battery positive electrode material to be repaired is replaced or the heating stage is switched, comprises the following steps: identifying the grid area that needs to update the heating state to obtain the grid area to be updated when the power battery positive electrode material to be repaired is replaced or the heating stage is switched. The heating state of the grid area to be updated is updated in combination with the replaced positive electrode material of the to-be-repaired power battery or the multi-stage temperature control curve corresponding to the switched heating stage, to obtain an updated state parameter; The heating state matrix is updated according to the updated state parameter, to obtain a target state matrix.

6. The method of claim 1, wherein the temperature is controlled by, The heating source heating mode and the to-be-repaired power battery positive electrode material moving time of each grid area are controlled based on the target state matrix, to realize temperature control in the power battery positive electrode material sintering repair process, including: Each matrix element in the target state matrix is mapped to the heating state of the heating source of the corresponding grid area, to obtain a heating source mode matrix; After the to-be-repaired power battery positive electrode material in the first grid area completes the sintering repair process, the heating source heating mode and the to-be-repaired power battery positive electrode material moving time of the first grid area are controlled in combination with the heating state of the adjacent grid area of the first grid area, to obtain an updated first grid area; During the sintering repair process, the updating process of the heating source heating mode of the grid area is repeated until the sintering repair of all to-be-repaired power battery positive electrode materials is completed.

7. The method of claim 6, wherein the temperature is controlled by, Each matrix element in the target state matrix is mapped to the heating state of the heating source of the corresponding grid area, to obtain a heating source mode matrix, including: When the value of the matrix element in the target state matrix is greater than 1, the heating state of the heating source of the grid area corresponding to the matrix element is mapped to a temperature rising state; When the value of the matrix element in the target state matrix is equal to 1, the heating state of the heating source of the grid area corresponding to the matrix element is mapped to a temperature keeping state; When the value of the matrix element in the target state matrix is less than 1, the heating state of the heating source of the grid area corresponding to the matrix element is mapped to a temperature falling state; In combination with the temperature rising state, the temperature keeping state and the temperature falling state, the heating source state of each grid area is set, to obtain the heating source mode matrix.

8. The method of claim 6, wherein the temperature is controlled by, After the to-be-repaired power battery positive electrode material in the first grid area completes the sintering repair process, the heating source heating mode and the to-be-repaired power battery positive electrode material moving time of the first grid area are controlled in combination with the heating state of the adjacent grid area of the first grid area, to obtain an updated first grid area, including: After the to-be-repaired power battery positive electrode material in the first grid area completes the sintering repair process, a sintering completion signal is generated; According to the sintering completion signal, in combination with the multi-stage temperature control curve of the to-be-repaired power battery positive electrode material in the eight grid areas adjacent to the first grid area, the adjacent grid heating state of the eight grid areas is calculated; Based on the adjacent grid heating state, the heating source heating mode and the to-be-repaired power battery positive electrode material moving time of the first grid area are controlled, to obtain an updated first grid area.

9. A temperature control system in the sintering repair process of a positive electrode material of a power battery, characterized in that, A method for realizing the temperature control in the power battery positive electrode material sintering repair process as claimed in any one of claims 1-8, including: A data acquisition module acquires defect parameters of a plurality of to-be-repaired power battery positive electrode materials; The temperature analysis module analyzes, according to the defect parameters, the temperature and time required in different stages of the sintering repair process of each to-be-repaired positive electrode material of the power battery through a preset temperature prediction model, and obtains corresponding multi-stage temperature control curves. The grid division module divides the sintering furnace into multiple grid areas by calculating the influence of the heating source on different positions in the sintering furnace, and sets a heating source in each grid area. The target state matrix construction module analyzes the heating state required by each grid area in combination with the corresponding multi-stage temperature control curves according to the to-be-repaired positive electrode material placed in each grid area, and constructs a target state matrix. The temperature control module controls the heating mode of the heating source and the moving time of the to-be-repaired positive electrode material of each grid area based on the target state matrix, so as to realize temperature control in the sintering repair process of the positive electrode material of the power battery.

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