Method for realizing high-temperature rapid synthesis of pure-phase doped iron phosphate

Abstract

The invention discloses a method for realizing high-temperature rapid synthesis of pure-phase doped iron phosphate, which relates to the technical field of high-temperature synthesis of iron phosphate, and comprises the following steps: under the condition that a dopant is attached to iron phosphate particles in different adsorption modes, based on a dopant adsorption behavior response rule set, calculating the adsorption behavior of the dopant; continuously tracking the release behavior of the dopant in the heating process, extracting a release starting node, an activation delay node and a release rate change node, and generating an adsorption state change path diagram; on the basis of the adsorption state change path diagram, crystal phase nucleation boundary characteristics and lattice expansion response characteristics are introduced, time sequence matching is performed on a dopant release path and a crystal phase forming process, and a synchronism analysis chain between adsorption release and crystal phase growth is constructed. According to the method, the problem of release time sequence dislocation caused by dopant adsorption mode difference is solved, synchronous regulation and control of dopant release behaviors and a crystal phase forming process are realized, and doping uniformity and crystal phase purity are improved.

Description

Technical Field

[0001] This invention relates to the field of high-temperature synthesis technology of iron phosphate, specifically to a method for achieving rapid high-temperature synthesis of pure-phase, doped iron phosphate. Background Technology

[0002] Achieving high-temperature rapid synthesis of pure-phase, doped iron phosphate refers to the efficient preparation of iron phosphate materials with uniform structure, extremely low impurity content, and stable introduction of dopant elements within a short time through high-temperature heat treatment. This is particularly suitable for improving their performance in electrochemical fields (such as lithium-ion battery cathode materials). The core of this technology lies in controlling the crystallization process of iron phosphate and the uniform distribution of dopant elements during synthesis, thereby obtaining a product with high phase purity and doping stability. In existing technologies, achieving this goal typically relies on strict precursor preparation processes, dopant premixing methods, and high-temperature solid-state synthesis routes. The specific process generally includes the following key steps: First, select and precisely proportion phosphorus, iron, and lithium sources with dopants (such as metal oxides or metal salts), and obtain reaction precursors through methods such as ball milling, spray drying, or gelation. Second, place the pretreated mixture in an inert or reducing atmosphere (such as nitrogen, argon, or H2 / N2) for high-temperature rapid heat treatment, typically at a temperature range of 600-800℃, with the reaction time controlled within tens of minutes to rapidly promote crystal phase formation and suppress impurity phase formation. Finally, obtain pure-phase, uniformly doped iron phosphate material through cooling, grinding, and sieving. Precise control of parameters such as heating rate, holding time, atmosphere type, raw material particle size, and mixing uniformity throughout the process is crucial to ensuring the purity and doping effect of the final product.

[0003] The existing technology has the following shortcomings: In the process of achieving high-temperature rapid synthesis of pure-phase, doped iron phosphate, due to different precursor sources, dopants may adhere to the surface of iron phosphate particles in different adsorption modes. Some dopants are fixed on the particle surface through weak chemisorption, while others exist in the interparticle spaces through weak physisorption. This difference in adsorption modes leads to variations in the release behavior of dopants during heating: physisorbed dopants may be released prematurely before the temperature reaches the crystal phase transformation range, while chemisorbed dopants are gradually released only after the main crystal phase has stabilized. Because the timing of dopant release is not synchronized with the crystal phase formation window, there is a significant temporal misalignment in the doping reaction, causing some dopant elements to fail to effectively enter the crystal lattice or remain at grain boundaries forming impurity phases, thus affecting the doping uniformity and crystal phase purity of the material. Existing technologies for the rapid high-temperature synthesis of pure-phase, doped iron phosphate cannot regulate the onset temperature and diffusion rate of the doping reaction based on the changes in the adsorption state of the dopant attached to the iron phosphate particles in different adsorption modes. This results in a lack of targeted control methods for the doping process, leading to a decrease in doping efficiency, an increase in the probability of impurity phase formation, and ultimately affecting the structural stability, electrochemical consistency, and cycle life of the material.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a method for the rapid high-temperature synthesis of pure-phase, doped iron phosphate, in order to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for high-temperature rapid synthesis of pure-phase, doped iron phosphate, specifically comprising the following steps: S1. Collect the particle surface charge migration characteristics, particle contact potential change characteristics, and low temperature desorption energy distribution characteristics of the iron phosphate precursor during the mixing stage and the initial stage of heating. After collection, input them into the dopant adsorption behavior response rule set. Determine whether the dopant attaches to the iron phosphate particles in different adsorption ways through the response path differentiation results. S2. When the dopant is attached to the iron phosphate particles in different adsorption ways, the release behavior of the dopant during the heating process is continuously tracked based on the dopant adsorption behavior response rule set, and the release start node, activation delay node and release rate change node are extracted to generate an adsorption state change path diagram. S3. Based on the adsorption state change path diagram, the nucleation boundary features and lattice expansion response features of the crystal phase are introduced to perform time-series matching between the dopant release path and the crystal phase formation process, construct the synchronization analysis chain between adsorption release and crystal phase growth, and output the time-series deviation parameters and diffusion interference parameters. S4. Based on the timing deviation parameter and diffusion interference parameter, a joint mapping is performed to generate a doping behavior adaptation parameter set, which includes reaction initiation temperature correction parameter and diffusion rhythm adjustment parameter. S5. Introduce the doping behavior adaptation parameter set into the heating and diffusion stages of the high-temperature synthesis process to dynamically control the starting temperature and diffusion rate of the doping reaction, so that the dopant release behavior is synchronized with the crystal phase formation process.

[0007] Preferably, S1 specifically includes the following steps: S101. In the mixing stage of the iron phosphate precursor, a controlled electric excitation signal is applied to the mixing system to record the time-series response data formed by the migration of surface charge between particles, so as to collect the particle surface charge migration characteristics; in the initial stage of heating, the potential of the particle contact interface is monitored to record the continuous response trajectory formed by the change of contact interface potential with temperature, so as to collect the particle contact potential change characteristics; and under low temperature desorption conditions, the energy distribution data corresponding to the initial release of dopant is recorded to collect the low temperature desorption energy distribution characteristics. S102. According to the acquisition time sequence, the particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics are synchronously aligned and used as joint input parameters to input the dopant adsorption behavior response rule set. The adsorption behavior response path corresponding to each input feature is generated through the rule matching process. S103. Perform path differentiation analysis on the adsorption behavior response path. When there are differences in the starting position, evolution direction or bifurcation node of the adsorption behavior response path corresponding to different input characteristics, it is judged that the dopant attaches to the iron phosphate particles in different adsorption ways.

[0008] Preferably, S102 is as follows: The particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics are timestamped according to the acquisition time sequence, and a synchronous alignment structure with the heat treatment process as a reference is established on the time axis so that the particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics have a unified response reference relationship. The surface charge migration characteristics of the synchronized particles, the particle contact potential change characteristics, and the low-temperature desorption energy distribution characteristics are used as joint input parameters to construct an input matrix. Each row of the input matrix corresponds to a heat treatment time point, and each column corresponds to a feature dimension. This input matrix is ​​then input into the dopant adsorption behavior response rule set. In the set of dopant adsorption behavior response rules, historical adsorption behavior sample paths that match the input matrix are selected. Based on the node weight matching degree, path turning synchronization and feature evolution direction consistency between the input matrix and the sample paths, adsorption behavior response paths corresponding to particle surface charge migration characteristics, particle contact potential change characteristics and low temperature desorption energy distribution characteristics are generated respectively.

[0009] Preferably, S2 is as follows: When dopants are attached to iron phosphate particles in different adsorption modes, based on the dopant adsorption behavior response rule set, the particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics during the heating process are continuously mapped to the heat treatment time axis to form a release behavior tracking sequence covering the entire heating process, so as to realize continuous tracking of dopant release behavior. In the release behavior tracking sequence, the continuous segments of each feature change over time are analyzed. The time position when the release behavior changes from a stable state to a release state is determined as the release start node. The position corresponding to the time segment where the release behavior maintains a low rate of change over the duration is determined as the activation delay node. The position where the rate of change of the release behavior changes in adjacent time segments is determined as the release rate change node. By connecting the release initiation node, activation delay node, and release rate change node in the order of heating time, an adsorption state change path diagram characterizing the adsorption state evolution of the dopant during the heating process is constructed.

[0010] Preferably, S3 specifically includes the following steps: S301. Based on the adsorption state change path diagram, crystal phase nucleation boundary features and lattice expansion response features are introduced on the heat treatment time axis. The crystal phase nucleation boundary features are obtained by calibrating the time segment corresponding to the transformation of the crystal phase structure from a disordered state to an ordered lattice state. The lattice expansion response features are obtained by extracting the time response trajectory formed by the change of lattice parameters with the heat treatment process. The crystal phase nucleation boundary features and lattice expansion response features are mapped to the time positions corresponding to the adsorption state change path diagram. S302. After completing the time position mapping, the release start node, activation delay node and release rate change node in the dopant release path are compared with the time segment corresponding to the crystal phase nucleation boundary feature and the time response trajectory corresponding to the lattice expansion response feature, respectively. The time matching relationship between the dopant release path and the crystal phase formation process is established based on the time difference and response change relationship between each node. S303. Construct a synchronization analysis chain between adsorption release and crystal growth based on the time-series matching relationship. Extract the time difference between each node in the dopant release path and the crystal nucleation boundary features as a time-series deviation parameter in the synchronization analysis chain. Extract the changing coupling relationship between the dopant release path and the lattice expansion response features as a diffusion interference parameter.

[0011] Preferably, S303 is as follows: Based on the temporal matching relationship, the release start node, activation delay node and release rate change node in the dopant release path are embedded into the time axis corresponding to the crystal phase formation process in the order of heating time. This forms a multi-node temporal correlation structure with the dopant release node and the crystal phase nucleation boundary characteristics and lattice expansion response characteristics as the correlation objects, which serves as the basic framework of the synchronization analysis chain. In the synchronization analysis chain, each node in the dopant release path is aligned with the time segment corresponding to the crystal phase nucleation boundary feature. The relative position difference of each node on the time axis is calculated, and the relative position difference is summarized to form a node-level time offset sequence. This node-level time offset sequence is used as the timing deviation parameter. In the synchronization analysis chain, the response trend of the dopant release path changing with time and the response trend of the lattice expansion response characteristics changing with time are compared in the synchronization segment. The consistency and difference of the two types of response trends in the corresponding time segment are extracted, and the coupling result composed of the consistency and difference of the change is used as the diffusion interference parameter.

[0012] Preferably, S4 is as follows: Based on the timing deviation parameter and the diffusion interference parameter, the two types of parameters are aligned according to the position of the corresponding dopant release node on the heat treatment time axis, and a joint mapping relationship is constructed with the timing deviation parameter as the time dimension and the diffusion interference parameter as the response dimension, so that each set of parameters corresponds to the behavior segment in the dopant release path. Based on the joint mapping relationship, the timing deviation parameters and diffusion interference parameters in each behavior segment are jointly analyzed to extract the parameter combinations that reflect the degree of dopant release timing deviation and diffusion restriction. The parameter combinations are then arranged according to the heating process to form the basic structure of the doping behavior adaptation parameter group. Based on the basic structure of the doping behavior adaptation parameter set, the parameter combination corresponding to the dopant release initiation segment is determined as the reaction initiation temperature correction parameter, and the parameter combination corresponding to the dopant continuous release segment is determined as the diffusion rhythm adjustment parameter, so as to generate a doping behavior adaptation parameter set containing the reaction initiation temperature correction parameter and the diffusion rhythm adjustment parameter.

[0013] Preferably, S5 is as follows: The reaction initiation temperature correction parameter in the doping behavior adaptation parameter group is mapped to the heat treatment temperature of the heating stage in the high-temperature synthesis process, and the initial control node of the heating curve is updated according to the reaction initiation temperature correction parameter to establish the parameter linkage relationship between dopant release behavior and heating start-up conditions. After the curve is updated during the heating stage, the diffusion rhythm adjustment parameter in the doping behavior adaptation parameter group is matched with the heat treatment time axis of the diffusion stage in the high-temperature synthesis process. The diffusion rhythm adjustment parameter is injected into the time control structure of the diffusion stage to adjust the time distribution and temperature maintenance range of the diffusion section. During the continuous execution of the heating and diffusion stages, the heat treatment control unit is dynamically commanded based on the parameter mapping results of the doping behavior adaptation parameter group, so as to realize the synchronous control of the onset temperature of the doping reaction and the diffusion rhythm over time.

[0014] The technical effects and advantages provided by the present invention in the above technical solution are as follows: 1. This invention overcomes the problem of release timing misalignment caused by differences in adsorption methods in traditional doping processes by constructing a dynamic control mechanism centered on the synchronous control of dopant release behavior and crystal phase formation process. Specifically, by introducing particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics, multiple adsorption states of the dopant can be accurately identified; by extracting nodes of the release path and constructing an adsorption state change path diagram, precise tracking of the entire dopant release process is achieved; furthermore, by combining crystal phase nucleation boundary characteristics and lattice expansion response characteristics, a timing matching relationship is established, and timing deviation parameters and diffusion interference parameters are extracted to form a dynamic control basis with time and diffusion response dimensions. The resulting doping behavior adaptation parameter set not only covers reaction initiation temperature correction parameters but also includes diffusion rhythm adjustment parameters, which can comprehensively link the heating and diffusion processes to ensure that the dopant release behavior and crystal phase formation process remain synchronous in time.

[0015] 2. The advantage of this invention lies in establishing a closed-loop doping behavior control system encompassing "adsorption recognition—release modeling—time-sequence matching—parameter mapping—dynamic control," overcoming the problem of existing technologies being unable to address the differences in release from multiple adsorption states. Compared to traditional methods, this approach not only improves the effectiveness of dopant entry into the crystal lattice and significantly reduces the probability of impurity phase formation during doping, but also enhances the crystal phase purity and doping uniformity of the final material. By substantially embedding the parameterized control mechanism into the heat treatment process, the linkage optimization of the heating start point and the diffusion process is achieved, thereby enhancing the structural stability, electrochemical consistency, and cycle life of the material. It is particularly suitable for the preparation of high-performance iron phosphate cathode materials where high doping precision and reaction uniformity are required. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0017] Figure 1 This is a schematic flowchart of the method for achieving rapid high-temperature synthesis of pure-phase, doped iron phosphate according to the present invention. Detailed Implementation

[0018] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0019] This invention provides, for example Figure 1 The method shown for achieving rapid high-temperature synthesis of pure-phase, doped iron phosphate includes the following steps: S1. Collect the particle surface charge migration characteristics, particle contact potential change characteristics, and low temperature desorption energy distribution characteristics of the iron phosphate precursor during the mixing stage and the initial stage of heating. After collection, input them into the dopant adsorption behavior response rule set. Determine whether the dopant attaches to the iron phosphate particles in different adsorption ways through the response path differentiation results. In this embodiment, S1 specifically includes the following steps: S101. In the mixing stage of the iron phosphate precursor, a controlled electric excitation signal is applied to the mixing system to record the time-series response data formed by the migration of surface charge between particles, so as to collect the particle surface charge migration characteristics; in the initial stage of heating, the potential of the particle contact interface is monitored to record the continuous response trajectory formed by the change of contact interface potential with temperature, so as to collect the particle contact potential change characteristics; and under low temperature desorption conditions, the energy distribution data corresponding to the initial release of dopant is recorded to collect the low temperature desorption energy distribution characteristics. During the mixing stage of the iron phosphate precursor, a controllable amplitude and frequency electrical excitation signal was introduced into the mixing system to create a stable and repeatable electric field disturbance environment for the precursor particles. Under this environment, the particle surfaces exhibited differentiated charge migration behaviors due to different dopant adsorption states. An electrical signal acquisition unit was placed inside the mixing container to continuously record the transient current changes caused by charge transfer between particles, and the evolution curve of this change over time was used as the charge migration characteristic of the particle surface. Subsequently, in the initial heating stage, as the temperature transitioned from room temperature to the reaction temperature range, the contact state between particles gradually changed. At this time, a high-sensitivity potential acquisition probe was placed in the particle contact area to record the continuous trajectory of the contact interface potential as a function of temperature, reflecting the influence of the dopant's presence state on the particle contact behavior. Simultaneously, under low-temperature desorption conditions, the energy distribution corresponding to the initial release of dopant from the particle surface was recorded by slowly heating and simultaneously monitoring the release signal. This distribution characteristic reflects the difference in the strength of the dopant's binding to the particle surface. For example, when the dopant exists in the form of physical adsorption, the desorption process is concentrated and the energy distribution is relatively low; while when it exists in the form of chemical adsorption, the desorption process is dispersed and the energy distribution range is wider. By organizing and comparing the above time series data, a direct data basis can be provided for subsequent adsorption state determination.

[0020] The iron phosphate precursor mixing stage refers to the initial mixing process of the iron source, phosphorus source, and dopant before the crystal phase transformation occurs. This stage determines the initial distribution morphology of the dopant on the particle surface. The mixed system refers to the overall physicochemical system including precursor particles, dopant, and the electrical, thermal, and mechanical disturbance conditions in the mixing environment. The controlled electrical excitation signal refers to an external electrical signal whose amplitude, frequency, and application timing are adjustable, used to excite the response differences of particle surface charge under different adsorption states. Particle surface charge migration characteristics describe the speed, continuity, and stability of charge transfer between particles, and are important behavioral indicators for judging the dopant adsorption state. The initial heating stage refers to the transition range where the temperature has just entered the reaction program but has not yet triggered the crystal phase transformation. In this range, the dopant has not yet participated in the reaction in large quantities, and its state changes are more easily perceived. The particle contact potential change characteristics reflect the changes in the electrical state of the contact interface under thermal excitation, and can indirectly characterize the differences in surface doping states. Low-temperature desorption conditions refer to the environmental settings for observing dopant release behavior within a temperature range that does not induce changes in the main structure. Dopant refers to an added element or compound introduced into the iron phosphate system to adjust its electrical or structural properties. Low-temperature desorption energy distribution characteristics are used to characterize the energy distribution required for dopant desorption from the particle surface and are an important basis for distinguishing between physical adsorption and chemical adsorption states.

[0021] S102. According to the acquisition time sequence, the particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics are synchronously aligned and used as joint input parameters to input the dopant adsorption behavior response rule set. The adsorption behavior response path corresponding to each input feature is generated through the rule matching process. S103. Perform path differentiation analysis on the adsorption behavior response path. When there are differences in the starting position, evolution direction or bifurcation node of the adsorption behavior response path corresponding to different input characteristics, it is judged that the dopant attaches to the iron phosphate particles in different adsorption ways.

[0022] After the adsorption behavior response path is generated, the goal of path differentiation analysis is to identify whether there are significant differences in the response trajectories of different input features over time, thereby determining whether dopants are attached to iron phosphate particles through different adsorption mechanisms. Specifically, the starting positions of the particle surface charge migration characteristic path, particle contact potential change characteristic path, and low-temperature desorption energy distribution characteristic path are compared to determine whether their reaction nodes are consistent in the early stages of heat treatment, such as whether abrupt response changes occur simultaneously at the same time point. Secondly, the overall evolution direction of the paths is statistically analyzed to determine whether each path exhibits a synchronous upward, downward, or oscillating trend. If there are inverse changes or inconsistent trends between different paths, it constitutes a difference in evolution direction. Finally, key bifurcation nodes in the paths are identified, i.e., the time points when the response trajectory undergoes drastic changes or branches at certain stages. If the behavior of different paths deviates at these time points, it indicates a fundamental difference in the behavioral mechanisms between the features. Through the above three-dimensional comparison of the starting position, evolution direction, and bifurcation nodes, if significant differentiation is found between two or more types of behavioral trajectories, it can be determined that the dopant simultaneously exhibits different adsorption mechanisms in the current system. For example, chemisorption mainly acts on the particle surface, while physisorption is distributed in the interparticle spaces. This determination is instructive for subsequent temperature control and diffusion rate adjustment.

[0023] Path differentiation analysis refers to the detailed comparison of multiple adsorption response paths over time to identify structural differences in three core dimensions: initiation position, evolution direction, and bifurcation node. The initiation position indicates the location where the characteristic signal first changes at the beginning of the heat treatment, reflecting the excitation point of a certain type of adsorption behavior. The evolution direction refers to the macroscopic trend of the path's data throughout the entire heat treatment cycle, such as continuous enhancement or periodic oscillation, and is a key basis for determining whether different physical processes are synchronized. The bifurcation node is the point of transition of the response mechanism within the path at a certain moment, representing the time anchor point of critical change within the system. In path differentiation analysis, a time window sliding comparison algorithm is used to locally align multiple paths, and structural difference is evaluated by combining trend fitting and local deviation cumulative scores to determine whether there are significant differences among the three indicators. If at least two dimensions show high differentiation characteristics, it indicates that the dopant exists in multiple adsorption states at different locations, thereby triggering a time misalignment problem in the release behavior. This analysis method not only reveals the diversity of adsorption states but also provides a behavioral identification basis for subsequent precise intervention strategies.

[0024] In this embodiment, S102 specifically refers to: The particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics are timestamped according to the acquisition time sequence, and a synchronous alignment structure with the heat treatment process as a reference is established on the time axis so that the particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics have a unified response reference relationship. To ensure a unified response benchmark for the three types of time-series data—particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics—timestamping of each characteristic data is necessary. Timestamping involves assigning a precise time tag to each recording point during data acquisition and accurately mapping this tag to the progress position in the heat treatment process, such as the heating rate, the set temperature zone switching point, or the initial moment of a crystal phase transformation. This calibration process can be synchronously triggered with the temperature control signals in the heat treatment program, ensuring an accurate one-to-one correspondence between each physical signal and the temperature control sequence. After timestamping, a synchronized alignment structure with the heat treatment process as a reference needs to be established on a unified time axis. This structure is a data time-domain mapping framework that can reorganize characteristic data from three different sources into a standardized response sequence within the heat treatment stage according to time windows. The synchronized alignment structure typically uses a sliding window fusion method, setting a reference heat treatment process node as an anchor point, constructing a local response window centered on this node, and redistributing various types of data within this window, thereby forming a multi-dimensional response combination of the three types of characteristics at the same heat treatment progress point. Under the condition of a unified response reference relationship, subsequent data fusion, behavior path discrimination, and response deviation analysis can achieve physical comparability and evolutionary consistency. For example, at the beginning of heat treatment, a node can be set when the temperature rises to a certain threshold. If the charge migration characteristics and contact potential change characteristics both show synchronous transitions, while the low-temperature desorption characteristics are still lagging, it can be preliminarily determined that there are delayed-release components in the dopant adsorption state. Through this alignment mechanism based on the heat treatment reference process, response displacement errors caused by different features due to differences in the acquisition starting point, reaction rate, or signal processing path can be eliminated, ensuring the linkage and comparative effectiveness of the three types of features in the time dimension.

[0025] The surface charge migration characteristics of the synchronized particles, the particle contact potential change characteristics, and the low-temperature desorption energy distribution characteristics are used as joint input parameters to construct an input matrix. Each row of the input matrix corresponds to a heat treatment time point, and each column corresponds to a feature dimension. This input matrix is ​​then input into the dopant adsorption behavior response rule set. To accurately identify the dopant adsorption state, the data structure of the synchronized particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics needs to be reconstructed according to the heat treatment process to construct an input matrix for analysis and judgment. The core of constructing the input matrix lies in ensuring the uniformity of different physical features in the time dimension and their independence in the feature dimension. Specifically, the heat treatment process can be divided into several consecutive time points, each time point corresponding to a row in the input matrix; and each type of physical feature occupies a column after normalization, thus each column represents a feature dimension. For example, at a specific heat treatment time point, the charge migration rate, potential change slope, and desorption energy peak position together constitute the input vector for that time point as three independent features. After completing the matrix construction, it is input into the dopant adsorption behavior response rule set. The dopant adsorption behavior response rule set is a response library constructed from time-series samples of multiple known dopant adsorption and release behaviors. This rule set is usually derived from the typical electrical signal response patterns exhibited in experiments by different adsorption states (such as physical adsorption and chemisorption). By performing node-level similarity matching, inflection point consistency calculation, and overall path morphology comparison between the input matrix and each sample path in the rule set, the adsorption behavior response path closest to the current feature evolution mode can be selected from the rule set. Based on this, it is possible to determine which adsorption mode the dopant is more likely to attach to iron phosphate particles, providing data for subsequent diffusion behavior prediction and temperature control. For example, if the input matrix shows a combined trend of enhanced charge migration, intensified potential changes, and a sudden decrease in desorption energy at multiple consecutive time points, it can be identified as a characteristic path of a weak physical adsorption release process after matching, thus inferring that the dopant is dominant in the physical adsorption state. The significance of constructing the input matrix and introducing the behavior response rule set lies in connecting experimental observations with physical mechanisms using a standardized data structure, thereby achieving accurate correlation and dynamic identification between adsorption state and thermal treatment response.

[0026] In the set of dopant adsorption behavior response rules, historical adsorption behavior sample paths that match the input matrix are selected. Based on the node weight matching degree, path turning synchronization and feature evolution direction consistency between the input matrix and the sample paths, adsorption behavior response paths corresponding to particle surface charge migration characteristics, particle contact potential change characteristics and low temperature desorption energy distribution characteristics are generated respectively.

[0027] The process of selecting historical adsorption behavior sample paths that match the input matrix from the dopant adsorption behavior response rule set is based on a multi-dimensional comparison between the standardized feature evolution trajectory of the input matrix and the preset sample paths in the rule set. Historical adsorption behavior sample paths refer to the evolution sequences of particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics collected and compiled during previous heat treatment experiments when the dopant was in a known adsorption state (e.g., weak physical adsorption or weak chemisorption). These sequences are typically stored in the response rule set in the form of multi-dimensional time series to provide behavioral references for new data. During the comparison process, the input matrix is ​​first mapped to each historical adsorption behavior sample path at the node level. By analyzing the relative weights of the corresponding nodes on the heat treatment time axis, the node weight matching degree is calculated to determine whether the input data shows a response intensity trend consistent with the historical path at each time point. Next, the heat treatment time positions of key inflection points in each path are extracted and compared to evaluate the path transition synchronicity between the input matrix and the sample path, i.e., the temporal consistency of the two paths at the physical reaction abrupt change point. Finally, the evolution direction of different features throughout the heat treatment stage is analyzed to determine whether they are consistent, such as whether the charge migration rate increases or decreases, and whether the desorption energy increases or decreases, thereby evaluating the consistency of feature evolution direction. Only when these three matching indicators simultaneously reach the high similarity threshold is the sample path selected as the adsorption behavior response path of the current input matrix under a certain feature dimension. For example, if the input matrix shows a step increase in charge migration rate in the early and middle stages, a synchronous inflection point in the contact potential curve in the same interval, and the desorption energy distribution changes from narrow to wide, which is highly consistent with the trend of historical physical adsorption sample paths, then this path can be identified as the physical adsorption behavior response path. The purpose of generating adsorption behavior response paths is to establish reliable behavioral prediction trajectories for the dynamic evolution of each type of feature under the current experimental state based on existing experience samples and through multi-level structural similarity analysis, so as to further serve the subsequent adsorption state identification and regulation parameter extraction.

[0028] S2. When the dopant is attached to the iron phosphate particles in different adsorption ways, the release behavior of the dopant during the heating process is continuously tracked based on the dopant adsorption behavior response rule set, and the release start node, activation delay node and release rate change node are extracted to generate an adsorption state change path diagram. In this embodiment, S2 specifically refers to: When dopants are attached to iron phosphate particles in different adsorption modes, based on the dopant adsorption behavior response rule set, the particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics during the heating process are continuously mapped to the heat treatment time axis to form a release behavior tracking sequence covering the entire heating process, so as to realize continuous tracking of dopant release behavior. When dopants adhere to iron phosphate particles via different adsorption mechanisms, their release behavior can be tracked throughout the entire process by establishing a set of rules for dopant adsorption behavior response. Specifically, during the heating process, the characteristics of particle surface charge migration, particle contact potential changes, and low-temperature desorption energy distribution are collected in real time. These time-series data are arranged along a heat treatment time axis to construct a unified time-domain data structure. Based on this, each feature data is projected onto the time axis to form a continuous temperature response trajectory curve. This curve is then fused and time-synchronized to obtain a release behavior tracking sequence that includes dynamic charge migration, potential change trends, and the evolution of desorption behavior. This sequence provides a structured and continuous representation of the entire dopant release process, facilitating the subsequent extraction of key behavioral nodes such as release initiation, release delay, and release rate changes. For example, if the particle charge migration rate suddenly increases and the contact potential begins to shift during a certain heat treatment process, accompanied by an increase in the low-temperature desorption signal, this can be identified as a sign of the start of release in the sequence.

[0029] The surface charge migration characteristics of particles during the heating process refer to the charge transport paths and their changing trends formed during the migration of dopants between particles under thermal excitation conditions, manifested as a shortening of charge response time or an increase in migration rate. The particle contact potential change characteristics refer to the continuous potential shift trajectory formed by the change in the potential difference at the contact interface between particles over time as the temperature rises, used to characterize the energy barrier changes between particles. The low-temperature desorption energy distribution characteristics refer to the change in energy required for the dopant to be released from the particle surface in the initial stage of heating, which can be acquired through micro-thermogravimetric analysis or programmed temperature mass spectrometry. The heat treatment time axis refers to the time series baseline throughout the heat treatment process, used to synchronize the data rhythm of all acquired features. Continuous mapping refers to projecting multiple types of feature data along a unified time axis and constructing a continuous functional relationship, ensuring that feature changes are synchronously correlated with temperature evolution. The release behavior tracking sequence covering the entire heating process is a complete record and dynamic expression of dopant release behavior over the entire heating time range, characterized by high resolution, clear nodes, and unified features, serving as a key data foundation for adsorption state identification and behavior node extraction.

[0030] In the release behavior tracking sequence, the continuous segments of each feature change over time are analyzed. The time position when the release behavior changes from a stable state to a release state is determined as the release start node. The position corresponding to the time segment where the release behavior maintains a low rate of change over the duration is determined as the activation delay node. The position where the rate of change of the release behavior changes in adjacent time segments is determined as the release rate change node. In the release behavior tracking sequence, to extract key behavioral nodes in the dopant release process, differential analysis is needed on continuous segments of particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics in the time dimension. Specifically, the implementation involves: firstly, calculating the first derivative of each feature trajectory at a fixed time step to obtain the local rate sequence of each feature over time; then, by setting a stability threshold and a change threshold for the feature response, continuous stable segments and changing segments are selected from the rate sequence. When the rate value of a feature first shifts continuously from a low value region to a high value region, and this shift crosses the change threshold and maintains the trend without falling back, this time point is marked as the release start node; when a feature maintains a low rate change for a long period during the release phase, indicating a dynamic hysteresis effect in the release process, the median time point of this stable, slowly changing period can be marked as the activation delay node; and when a feature's rate value changes from acceleration to deceleration or from deceleration to acceleration in two consecutive time periods, the boundary point between the two rate transitions is marked as the release rate change node. By extracting the above three behavioral nodes, the release rhythm of the dopant during the heating process can be clearly reconstructed, providing a timing basis for subsequent regulation of the crystal growth process.

[0031] The continuous segments of each feature changing over time refer to continuous data fragments on the heat treatment time axis where each acquired feature value shows a consistent trend or slow change within a certain continuous duration, reflecting the staged evolution of particle behavior. The time position where the release behavior transitions from a stable state to a release state refers to the initial response time point when the dopant begins to desorb or migrate, reflecting the starting signal of the release behavior. The release initiation node is the structured representation of this behavior, used to mark the node position where the release action begins. The position corresponding to the time segment where the release behavior maintains a low rate of change over its duration refers to the stage during which the dopant briefly exhibits slow diffusion or is locally blocked during the release process; its central time position can be used as the basis for judging the activation delay node. The activation delay node is used to represent the hysteresis characteristics present in the release behavior and is a key parameter for evaluating the dynamic stability of the dopant before entering the crystal lattice. The position where the rate of change of the release behavior changes between adjacent time segments refers to the point where the release rate trend changes direction, which can be identified as a transition signal where the diffusion channel opens or the release rate is limited. Extracting the release rate change nodes helps to characterize the complexity and stages of the release behavior, providing a reference for dynamic adjustment.

[0032] By connecting the release initiation node, activation delay node, and release rate change node in the order of heating time, an adsorption state change path diagram characterizing the adsorption state evolution of the dopant during the heating process is constructed.

[0033] To construct an adsorption state change path diagram characterizing the evolution of dopant adsorption states during heating, it is necessary to connect the release initiation node, activation delay node, and release rate change node sequentially according to the heating time, and construct a continuous behavioral trajectory between each node. Specifically, the method is as follows: First, extract the specific time position of each type of node on the heat treatment time axis and sort them chronologically to form a time series index. Then, using the heat treatment time as the horizontal axis and the characteristic behavior value of each node as the vertical axis input, a spline interpolation algorithm is used to fit the change curves between nodes, forming path segments with temporal continuity and behavioral trend expression capabilities. Finally, all path segments are connected end-to-end to form a complete adsorption state change path diagram. This path diagram not only reflects the dynamic changes in dopant release behavior during heating but also intuitively expresses the staged trajectory of the dopant gradually transitioning from the adsorption stable state to the release state. This helps to determine whether there is a synchronous deviation between the release behavior and the crystal phase formation process, providing a behavioral model basis for subsequent parameter correction and dynamic control.

[0034] The heating time sequence refers to the sequential arrangement of behavioral nodes in the heat treatment process during high-temperature synthesis, with the external thermal field input time as the main reference axis. This ensures that the arrangement of behavioral nodes in the path construction process conforms to the thermal evolution rhythm of the actual physical process. The release initiation node corresponds to the initial time point when the dopant begins to transition from a static adsorption state to an active release state. The activation delay node represents the mid-stage behavioral signal of the dopant exhibiting a kinetic hysteresis response during the release process, while the release rate change node reveals the key point where the rate direction of the release trend reverses. The adsorption state change path diagram, which characterizes the evolution of the dopant's adsorption state during the heating process, is a complete release trajectory curve constructed by fitting behavioral trends based on these nodes. It is used to depict the rhythm, rate, and stage transition characteristics of the dopant's state changes during the heating reaction and is a key data expression form reflecting the transition from the adsorbed state to the solid solution state. This path diagram not only has structural visualization characteristics but also a basis for parameter analysis, making it a core tool for precisely controlling the crystal phase growth sequence.

[0035] S3. Based on the adsorption state change path diagram, the nucleation boundary features and lattice expansion response features of the crystal phase are introduced to perform time-series matching between the dopant release path and the crystal phase formation process, construct the synchronization analysis chain between adsorption release and crystal phase growth, and output the time-series deviation parameters and diffusion interference parameters. In this embodiment, S3 specifically includes the following steps: S301. Based on the adsorption state change path diagram, crystal phase nucleation boundary features and lattice expansion response features are introduced on the heat treatment time axis. The crystal phase nucleation boundary features are obtained by calibrating the time segment corresponding to the transformation of the crystal phase structure from a disordered state to an ordered lattice state. The lattice expansion response features are obtained by extracting the time response trajectory formed by the change of lattice parameters with the heat treatment process. The crystal phase nucleation boundary features and lattice expansion response features are mapped to the time positions corresponding to the adsorption state change path diagram. The process of introducing crystal phase nucleation boundary features and lattice expansion response features onto the heat treatment time axis first involves high-resolution characterization of the crystal phase evolution behavior of iron phosphate during heating to obtain the key time segments in the gradual evolution of the crystal structure from disordered arrangement to ordered lattice. The changes in interplanar spacing and diffraction peak intensity can be recorded in real time using in-situ high-temperature X-ray diffraction to determine the time range between the initial point of crystal phase nucleation and the stable point of lattice ordering, thus defining the crystal phase nucleation boundary features. Based on this, time-series curves of lattice parameters (such as a-axis length, c-axis length, and cell volume) as a function of temperature during heat treatment are further collected to reflect the spatial expansion and extension of the crystal under different thermal driving forces, thereby forming a continuous time trajectory of the lattice expansion response features. These two features are mapped onto the heat treatment time axis nodes in the adsorption state change path diagram, forming a alignment reference framework between the dopant release node and the key node of crystal phase evolution, providing a unified reference for subsequent time-series matching and dynamic analysis.

[0036] The nucleation boundary characteristics refer to the specific time intervals during which the crystal structure gradually transforms from a disordered particle stacking state to an ordered lattice state during heat treatment. This time interval can be identified by monitoring the process of the crystal diffraction peaks from broadening to sharpening, and is used to mark the time boundaries of the start and end of nucleation. The lattice expansion response characteristics refer to the stable expansion or fine-tuning behavior of lattice parameters caused by the continued heat treatment after the initial nucleation of the crystal structure, manifested as a continuous response trajectory of cell parameters with temperature changes. The adsorption state change path diagram uses key nodes of dopant release behavior as references, marking the complete path of release initiation, activation delay, and release rate changes on the time axis, used to establish a temporal synchronization relationship with crystal evolution characteristics. By mapping the nucleation boundary characteristics and lattice expansion response characteristics onto the time axis of this path diagram, the key nodes of the release behavior and crystal growth process can be aligned for analysis, supporting subsequent identification of synchronization deviations and extraction of control factors.

[0037] S302. After completing the time position mapping, the release start node, activation delay node and release rate change node in the dopant release path are compared with the time segment corresponding to the crystal phase nucleation boundary feature and the time response trajectory corresponding to the lattice expansion response feature, respectively. The time matching relationship between the dopant release path and the crystal phase formation process is established based on the time difference and response change relationship between each node. After mapping the adsorption state change path diagram to the time positions of the crystal phase nucleation boundary characteristics and lattice expansion response characteristics, a unified heat treatment time axis is constructed to align the release start nodes, activation delay nodes, and release rate change nodes in the dopant release path with the start and end points of the crystal phase nucleation boundary segment and the lattice expansion response curve. Specifically, a linear time normalization method can be used to convert different node time points into standard time ratios relative to the heat treatment start time, thereby aligning different time-domain data. After alignment, the time interval between each release node and its corresponding crystal phase evolution node is calculated sequentially to extract the distribution pattern of the release path on the time axis. Furthermore, a synchronization analysis is performed based on the change trends between consecutive nodes in the release path and the slope changes in the lattice expansion curve to identify whether the release path is delayed, overlapped, or offset from the crystal growth process. Through the above time-series comparison and dynamic response matching, a time-series matching relationship between the dopant release path and the crystal phase formation process can be constructed, providing a key basis for subsequent synchronization deviation judgment and control parameter construction.

[0038] Timing alignment refers to establishing a one-to-one temporal correspondence between key nodes in the dopant release path and crystal nucleation boundary features and lattice expansion response features on a unified heat treatment timeline, and establishing a relative relationship based on their time differences and response change trajectories. Release initiation nodes, activation delay nodes, and release rate change nodes represent the physical event points where dopant release begins, release response is delayed, and release rate is adjusted, respectively. Crystal nucleation boundary features and lattice expansion response features reflect the initial stage and continuous evolution behavior of crystal growth, respectively. The time difference between each node is the temporal difference between the dopant release event and the key crystal growth event, which can be used to measure the degree of synchronicity. The response change relationship refers to the degree of coupling between the behavioral change trend in the release path and the response trend during crystal growth, such as whether accelerated release corresponds to enhanced lattice expansion. The final established temporal matching relationship between the dopant release path and the crystal phase formation process is a multi-node, multi-segment temporal logic structure, reflecting the synergy between the two on the timeline, and is an important prerequisite for determining whether dynamic control is needed.

[0039] S303. Construct a synchronization analysis chain between adsorption release and crystal growth based on the time-series matching relationship. Extract the time difference between each node in the dopant release path and the crystal nucleation boundary features as a time-series deviation parameter in the synchronization analysis chain. Extract the changing coupling relationship between the dopant release path and the lattice expansion response features as a diffusion interference parameter.

[0040] The fundamental purpose of this approach is to achieve a precise characterization of the temporal relationship between dopant release behavior and crystal phase formation, thereby ensuring both doping uniformity and crystal phase purity during high-temperature rapid synthesis. Because dopant release behavior is influenced by differences in adsorption mechanisms, it may occur before or after crystal phase nucleation has begun, resulting in dopant elements failing to effectively embed into the crystal structure or remaining at grain boundaries, forming impurities or exhibiting doping inhomogeneity. By constructing a synchronization analysis chain between adsorption release and crystal phase growth, and extracting temporal deviation parameters representing the degree of time coordination and diffusion interference parameters reflecting diffusion consistency, the dynamic relationship between the release path and crystal phase evolution can be transformed into quantifiable matching indicators. This analytical framework not only helps identify temporal misalignments and diffusion interference issues between doping behavior and crystal phase formation but also provides clear control targets for subsequent regulation of the doping reaction's initiation temperature and diffusion rhythm, enabling the doping process to better conform to the crystal phase evolution law, thereby significantly improving the material's structural stability and electrochemical consistency.

[0041] In this embodiment, S303 specifically refers to: Based on the temporal matching relationship, the release start node, activation delay node and release rate change node in the dopant release path are embedded into the time axis corresponding to the crystal phase formation process in the order of heating time. This forms a multi-node temporal correlation structure with the dopant release node and the crystal phase nucleation boundary characteristics and lattice expansion response characteristics as the correlation objects, which serves as the basic framework of the synchronization analysis chain. When constructing the basic framework of the synchronicity analysis chain, the release initiation nodes, activation delay nodes, and release rate change nodes in the dopant release path first need to be sorted according to the heating time sequence during the heat treatment process and embedded into a unified time axis corresponding to the crystal phase formation process. This operation is achieved through time axis normalization and node calibration to ensure the comparability of data from different sources in the time dimension. Next, a correspondence is established between each dopant release node and the nearest crystal phase nucleation boundary feature time point and lattice expansion response feature time point, forming a one-to-one mapping in time. In this mapping structure, different dopant release nodes are anchored to the initiation of crystal phase nucleation, the transformation boundary, or the amplification change segment of lattice expansion, respectively, thus forming a cross-domain integrated time series. Through the above method, a multi-node time-series correlation structure with dopant release nodes and key features of crystal phase evolution as corresponding points can be generated. This structure serves as the basic framework of the synchronicity analysis chain, carrying the dynamic interactive logical relationship between the release process and crystal phase evolution. The purpose of this is to establish an analytical benchmark that can accurately capture the phenomena of offset, overlap, intersection or coupling between the two on the time axis, thereby laying a structural data foundation for subsequent synchronicity evaluation, time series deviation identification and diffusion behavior control.

[0042] In this process, the "multi-node temporal correlation structure with dopant release nodes, crystal phase nucleation boundary features, and lattice expansion response features as the correlation objects" refers to a time-chain structure containing multiple logical coupling points formed after establishing a one-to-one time mapping relationship between multiple key release behavior nodes and representative response points in the crystal nucleation and lattice expansion stages through time calibration. The "basic framework of the synchronization analysis chain" refers to a complete time series system with this temporal correlation structure as the core, running through the release behavior trajectory and crystal phase growth process, and supporting the entire synchronization analysis and control parameter extraction. This framework not only ensures the temporal consistency between data but also enhances the system's ability to identify and respond to asynchronous behavior.

[0043] In the synchronization analysis chain, each node in the dopant release path is aligned with the time segment corresponding to the crystal phase nucleation boundary feature. The relative position difference of each node on the time axis is calculated, and the relative position difference is summarized to form a node-level time offset sequence. This node-level time offset sequence is used as the timing deviation parameter. When aligning each node in the dopant release path with the corresponding time segments of the crystal nucleation boundary features, the release start node, activation delay node, and release rate change node in the release path first need to be standardized according to their actual occurrence time on the heat treatment time axis. Then, each dopant release node is compared one-to-one with a preset reference time point in the crystal nucleation boundary features; for example, the release start node can correspond to the beginning of the initial crystal nucleation interval, and the activation delay node can correspond to the middle time point of the crystal transformation. After establishing the matching relationship, the time difference between each release node and its corresponding crystal nucleation reference point is calculated, which is the relative position difference of the node on the time axis. The time differences of all nodes are collected and arranged in chronological order to form a node-level time offset sequence covering the entire dopant release process. This sequence can quantify the degree of synchronicity deviation of different release behaviors relative to the crystal nucleation process. Finally, this node-level time offset sequence is used as a timing deviation parameter to evaluate the matching degree between dopant release behavior and crystal nucleation, providing a quantitative basis for subsequent control.

[0044] One-to-one alignment refers to independently pairing and comparing each dopant release node with its corresponding crystal phase nucleation characteristic time point on the time axis, ensuring that all key nodes can be matched with specific reference points. The relative position difference of each node on the time axis refers to the difference between the release node time and the time of its matched crystal phase reference point, which can be positive or negative, reflecting whether it is ahead or behind. The node-level time offset sequence is formed by combining all differences in chronological order into a whole, used to describe the systematic time deviation between the entire release path and the crystal phase evolution process. The time deviation parameter is the core feature variable extracted from this sequence, used to support subsequent synchronization analysis and control scheme design. This process helps to transform complex multi-node release behavior into a quantifiable time-series data structure, enabling accurate identification and dynamic response.

[0045] In the synchronization analysis chain, the response trend of the dopant release path changing with time and the response trend of the lattice expansion response characteristics changing with time are compared in the synchronization segment. The consistency and difference of the two types of response trends in the corresponding time segment are extracted, and the coupling result composed of the consistency and difference of the change is used as the diffusion interference parameter.

[0046] In the synchronicity analysis chain, to analyze the degree of synergy between the dopant release path and the lattice expansion response characteristics, it is necessary to compare the evolution behavior of the two types of response trends within the same time segment. Specifically, based on the heat treatment time axis, the continuous response data reflecting the release intensity, rate, or trend in the dopant release path and the lattice parameter change data during lattice expansion are segmented by time, synchronously dividing the data into several time segments. Within each segment, the consistency of change in that segment is calculated by comparing the direction, magnitude, and slope of the two response trends. For example, whether both show an upward trend simultaneously, or whether they reach a local extremum at the same time point. Simultaneously, the differences in change are also measured to reflect whether there are abrupt, asynchronous, reversed, or inconsistent change magnitudes between the two trends. The consistency and difference of change together constitute the coupling result of this time segment. After summarizing and normalizing the coupling results of all segments, a complete coupling response spectrum is generated. Finally, the perturbation characteristic index in the coupling response spectrum is extracted as a quantitative result of the influence of the dopant release path on the lattice expansion process. This result is defined as the diffusion interference parameter to evaluate the degree of interference of the doping reaction on the continuity of crystal phase growth.

[0047] Synchronous segment comparison involves pairing the response curves of two different physical processes within the same time period to determine their synergy. The consistency of the changes in the two response trends indicates their synchronous characteristics in terms of trend direction and rhythm, while the difference in changes indicates their asynchronous changes. The coupling result composed of the consistency and difference in changes is a comprehensive expression of the degree of mutual influence between the two response processes. The diffusion interference parameter is an overall index composed of multiple coupling results, representing the perturbation intensity and intervention characteristics of doping behavior on the lattice expansion process. This parameter can be used to identify abnormal diffusion paths or regions with limited lattice continuity in subsequent control, thereby improving the accuracy of control.

[0048] S4. Based on the timing deviation parameter and diffusion interference parameter, a joint mapping is performed to generate a doping behavior adaptation parameter set, which includes reaction initiation temperature correction parameter and diffusion rhythm adjustment parameter. In this embodiment, S4 specifically refers to: Based on the timing deviation parameter and the diffusion interference parameter, the two types of parameters are aligned according to the position of the corresponding dopant release node on the heat treatment time axis, and a joint mapping relationship is constructed with the timing deviation parameter as the time dimension and the diffusion interference parameter as the response dimension, so that each set of parameters corresponds to the behavior segment in the dopant release path. When jointly mapping the timing deviation parameter and the diffusion interference parameter, the position of each dopant release node can be calibrated on the heat treatment time axis, and the timing deviation parameter and diffusion interference parameter corresponding to that node in the adsorption-release path can be associated respectively. Then, with time position as the main axis, each release node is constructed as a behavioral segment node with dual-parameter attributes. By combining multiple nodes with dual-parameter attributes in chronological order into a parameter path curve, a two-dimensional joint mapping relationship diagram can be constructed with the degree of timing deviation as the horizontal axis and the degree of diffusion interference as the vertical axis. In practical implementation, the release start node, activation delay node, and release rate change node can be used as key points. At each key point, its time deviation value and diffusion coupling strength are extracted, and the changing trend is supplemented using interpolation or piecewise fitting methods, ultimately forming a joint mapping model covering the entire release path. This mapping method can reveal the intrinsic relationship between time and diffusion during the dopant release process, facilitating further extraction of adaptive control parameters.

[0049] The "joint mapping relationship" is a mapping structure formed by pairing the timing offset parameters corresponding to each release behavior node with diffusion interference parameters one-to-one, and arranging them continuously in the time dimension, with the actual time position of the dopant release node as a reference. Each "parameter corresponds to a behavior segment in the dopant release path" means that each parameter set not only describes the state at a given time point but also characterizes the characteristic segment of the release behavior change before and after that time point. For example, the parameter combination corresponding to the release initiation node reflects the synchronization problem during the initial release, while the parameter combination corresponding to the release rate change node reflects the instability range before and after the diffusion rate change. This behavior segment mapping method allows the doping behavior to be divided into several segments with clearly defined characteristic parameters, facilitating the precise embedding and segment-by-segment adjustment of subsequent control strategies.

[0050] Based on the joint mapping relationship, the timing deviation parameters and diffusion interference parameters in each behavior segment are jointly analyzed to extract the parameter combinations that reflect the degree of dopant release timing deviation and diffusion restriction. The parameter combinations are then arranged according to the heating process to form the basic structure of the doping behavior adaptation parameter group. When jointly analyzing the temporal deviation parameters and diffusion interference parameters in each behavioral segment based on the joint mapping relationship, a multidimensional weighted analysis model can be used. This model takes the corresponding time offset and diffusion coupling strength in each behavioral segment as input variables and introduces an evaluation function to quantitatively score their coupling characteristics. Specifically, a two-dimensional coordinate system is constructed for each segment, with the horizontal axis representing the relative deviation between dopant release time and crystal nucleation time, and the vertical axis representing the degree of coupling change between dopant release behavior and lattice expansion response. Then, the joint influence of each pair of parameters within the behavioral segment is extracted through weight aggregation, deviation amplification, and sensitivity adjustment. Subsequently, the joint parameters extracted from all behavioral segments are linearly sorted according to the heat treatment heating time sequence, forming a time-series-based parameter set. This parameter set constitutes the basic structure of the doping behavior adaptation parameter group, supporting the subsequent construction of local control strategies based on different heat treatment stages.

[0051] "Joint analysis" refers to the quantitative modeling and evaluation of the interaction effects of timing deviation parameters and diffusion interference parameters within a unified evaluation system. This process is not merely a simple superposition of parameters, but rather the establishment of a parameter relationship model with practical physical meaning based on their synchronization relationship in the time dimension and their response characteristics along the diffusion path. "Extracting parameter combinations reflecting the degree of dopant release timing deviation and diffusion restriction" refers to identifying composite parameters in each doping behavior segment that comprehensively represent the current release deviation trend and diffusion anomaly trend. This parameter combination is used to characterize the level of behavioral anomaly and the control priority. "The basic structure of the doping behavior adaptation parameter group" refers to the systematic arrangement of the above composite parameters in the order of the heat treatment process, forming an adaptability parameter framework containing multiple segment-level control units. This framework provides continuous, operable, and targeted basic data support for subsequent adjustment of the doping reaction window.

[0052] Based on the basic structure of the doping behavior adaptation parameter set, the parameter combination corresponding to the dopant release initiation segment is determined as the reaction initiation temperature correction parameter, and the parameter combination corresponding to the dopant continuous release segment is determined as the diffusion rhythm adjustment parameter, so as to generate a doping behavior adaptation parameter set containing the reaction initiation temperature correction parameter and the diffusion rhythm adjustment parameter.

[0053] In the basic structure of the doping behavior adaptation parameter set, when classifying and identifying parameter combinations, it is first necessary to clarify the physical processes corresponding to different segments in the dopant release path. By analyzing the parameter combinations near the release initiation node in the behavior path, the thermal excitation conditions required for the dopant to first transform from the surface state to the free state can be determined. Furthermore, the joint parameters reflecting the degree of time deviation and diffusion restriction in this segment are extracted and constructed as reaction initiation temperature correction parameters. This parameter can be used to adjust the initial reaction temperature setpoint during heating, enabling thermal-temporal matching between dopant release and the crystal phase nucleation window. Simultaneously, during the continuous dopant release phase, parameter combinations in the middle to end segments of the release path are summarized and extracted to form diffusion rhythm adjustment parameters reflecting the consistency of the diffusion process and the difference in response speed. These parameters are used to adjust the diffusion time span or concentration gradient adjustment strategy to optimize the dopant embedding behavior in the crystal lattice. Finally, by classifying and assigning functional positioning to parameter combinations in different segments, a doping behavior adaptation parameter set including reaction initiation temperature correction parameters and diffusion rhythm adjustment parameters is formed, enabling staged and dynamic control of doping behavior throughout the entire heat treatment process.

[0054] "Parameter combinations corresponding to the dopant release initiation segment" refers to the joint parameters identified during the initial dopant release period, typically manifested as the temporal offset and diffusion response coupling degree corresponding to early nodes on the timeline. "Reaction initiation temperature correction parameters" are adjustable variables formed based on these initial segment parameter combinations, aiming to more precisely align the heating temperature initiation point with the dopant excitation and release time point, improving doping synchronization. "Parameter combinations for the continuous dopant release segment" refers to the continuous parameter set formed during the stable unfolding of the release behavior, reflecting the uniformity and constraint of the diffusion process. "Diffusion rhythm adjustment parameters" are the basis for rhythmic intervention in the diffusion trend during this segment, used to regulate the coordination between the release rate and the lattice absorption window. "Doping behavior adaptation parameter set including reaction initiation temperature correction parameters and diffusion rhythm adjustment parameters" is a structured combination of corresponding control parameters from different heat treatment stages, forming a parameter system with dual functions of initiation adjustment and process rhythm control, serving as the core input for subsequent temperature control strategies.

[0055] S5. Introduce the doping behavior adaptation parameter set into the heating and diffusion stages of the high-temperature synthesis process to dynamically control the starting temperature and diffusion rate of the doping reaction, so that the dopant release behavior is synchronized with the crystal phase formation process.

[0056] In this embodiment, S5 specifically refers to: The reaction initiation temperature correction parameter in the doping behavior adaptation parameter group is mapped to the heat treatment temperature of the heating stage in the high-temperature synthesis process, and the initial control node of the heating curve is updated according to the reaction initiation temperature correction parameter to establish the parameter linkage relationship between dopant release behavior and heating start-up conditions. Mapping the reaction initiation temperature correction parameter in the doping behavior adaptation parameter set to the starting point of the heating stage in the high-temperature synthesis process can be achieved by constructing a bidirectional mapping model between the heat treatment time axis and the parameter space. First, on the set heat treatment time axis, the starting point of the heating stage is identified, i.e., the time node when the initial temperature control unit begins heating. Then, by matching the value of the reaction initiation temperature correction parameter with the pyrolysis initiation conditions of the target material, the set temperature corresponding to the heating start point is adjusted to match the energy threshold required for dopant release in the adsorbed state. To implement this parameter mapping process, the heating control module and the parameter scheduling module can be connected. Based on the temperature control logic program, the output value of the correction parameter is converted into the starting point temperature setting in the heat treatment program, achieving automatic updating of the heating control node. For example, if the reaction initiation temperature correction parameter is 280℃, and the original heating program is set to start at 260℃, the updated control program will use 280℃ as the heating start temperature, thus achieving synchronous linkage between dopant release and temperature initiation.

[0057] The reaction initiation temperature correction parameter is a key data unit used to adjust the start-up conditions of the heat treatment process. It is derived from the calculated time difference between the release initiation node and the crystal nucleation boundary characteristics in the adsorption release path. The starting point of the heating stage in the high-temperature synthesis process refers to the time position in the heat treatment process from the start of applying the heat source at ambient temperature to entering a stable heating trajectory. Heat treatment temperature mapping refers to the numerical correspondence established between temperature control parameters and doping behavior characteristic data, used to achieve the integration and linkage of doping behavior and temperature control logic. The initial control node of the heating curve usually refers to the set point of the first temperature plateau or slope inflection point in the heating stage. Updating this control node means adjusting the heating strategy of the heat treatment system. The parameter linkage between dopant release behavior and heating start-up conditions essentially ensures that the dopant is in a release state and synchronized with the crystal nucleation state at the moment of thermal activation through dynamic temperature setting, preventing release deviation from causing doping failure or diffusion runaway, thereby improving the spatial positioning and crystal phase compatibility of doping.

[0058] After the curve is updated during the heating stage, the diffusion rhythm adjustment parameter in the doping behavior adaptation parameter group is matched with the heat treatment time axis of the diffusion stage in the high-temperature synthesis process. The diffusion rhythm adjustment parameter is injected into the time control structure of the diffusion stage to adjust the time distribution and temperature maintenance range of the diffusion section. After the heating stage curve is updated, to achieve precise coordinated control of doping behavior and crystal phase growth, the diffusion rhythm adjustment parameter in the doping behavior adaptation parameter set can be introduced into the diffusion stage of the high-temperature synthesis process. Specifically, a node system for the heat treatment time axis of the diffusion stage is first established, dividing the diffusion segment into multiple time sub-intervals, each with a specific temperature holding time and temperature change rate. Then, based on the time adjustment amount and temperature adjustment factor provided by the diffusion rhythm adjustment parameter, the control node for each sub-interval is located, and the adjustment parameter is injected into the thermal control model. The system adjusts the time distribution of the diffusion stage according to the injected parameters to ensure that the diffusion rate of the dopant is consistent with the lattice expansion rate. For example, when the diffusion rhythm adjustment parameter indicates that doping diffusion is too rapid within the heat treatment window of 600 to 1200 seconds, the control system will automatically extend the isothermal time of that segment or reduce the temperature rise rate, thereby slowing down the diffusion rhythm and preventing the dopant from diffusing outwards before the crystal phase has fully grown, thus affecting the phase formation quality.

[0059] The diffusion rhythm regulation parameter refers to a dynamic control quantity reflecting the temporal coupling relationship between dopant release behavior and lattice expansion response. It is used to adjust the diffusion path length, rate, and diffusion coverage of the dopant under high-temperature conditions. The heat treatment time axis during the diffusion stage is the temperature-controlled time sequence of the lattice expansion-dominant stage in the heat treatment process, typically located in the isothermal phase after heating. Node correspondence establishes a one-to-one correspondence between the control targets in the diffusion rhythm regulation parameter and specific time periods and operation points in the heat treatment time axis, enabling precise application of the control strategy. The time control structure refers to the control model in the heat treatment system used to define the time length, temperature holding time, and slope change of each diffusion segment. The temperature holding interval is the time period during the diffusion stage during which a constant temperature is maintained to promote crystal structure rearrangement and dopant insertion; adjusting this interval allows for rhythmic management of the diffusion rate. Overall linkage enables control of the spatial and temporal distribution of doping behavior while ensuring ordered crystal phase growth, thereby improving doping efficiency and material structural stability.

[0060] During the continuous execution of the heating and diffusion stages, the heat treatment control unit is dynamically commanded based on the parameter mapping results of the doping behavior adaptation parameter group, so as to realize the synchronous control of the onset temperature of the doping reaction and the diffusion rhythm over time.

[0061] During the continuous execution of the heating and diffusion stages, to ensure that the doping behavior can be adjusted in real time with the heat treatment process, dynamic command transmission to the heat treatment control unit is required based on the parameter mapping results of the doping behavior adaptation parameter set. Specifically, a time-driven command scheduling sequence can be established in the heat treatment control program, binding the reaction initiation temperature correction parameter and the diffusion rhythm adjustment parameter to the corresponding time nodes of the heating and diffusion stages, respectively. When the heat treatment timeline advances to a certain node, the control program reads the corresponding parameter mapping results and generates a control command containing the temperature setpoint, temperature change rate, and holding duration, which is then sent to the heat treatment control unit in real time via the communication interface. For example, in the initial stage of the heating stage, the system dynamically adjusts the heating starting point based on the reaction initiation temperature correction parameter; after entering the diffusion stage, it continuously corrects the isothermal duration or temperature fluctuation range based on the diffusion rhythm adjustment parameter, ensuring that the initiation temperature of the doping reaction and the diffusion rhythm remain consistent over time, thereby avoiding timing mismatch problems caused by fixed processes.

[0062] The parameter mapping results of the doping behavior adaptation parameter set refer to the correspondence between the reaction initiation temperature correction parameter and the diffusion rhythm adjustment parameter on the heat treatment time axis, which is used to guide the heat treatment operation at different stages. The heat treatment control unit is the main body that executes temperature regulation, time control, and stage switching. Dynamic command transmission refers to continuously sending updated control commands to the control unit during the heat treatment process, rather than a one-time fixed setting. The continuous execution of the heating stage and the diffusion stage means that the two stages are seamlessly connected on the time axis, and parameter control must be continuous and real-time. The synchronous control of the evolution of the doping reaction initiation temperature and diffusion rhythm over time is achieved by updating the parameters over time, so that the dopant release behavior and the crystal phase formation process remain coordinated throughout the high-temperature synthesis cycle. This design can effectively cope with the uncertainties caused by precursor differences or changes in adsorption state, enabling the heat treatment process to have adaptive adjustment capabilities, thereby supporting stable doping control under high-temperature and rapid conditions.

[0063] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions according to the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means (e.g., infrared, wireless, microwave, etc.). A computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives.

[0064] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0065] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0066] In the several embodiments provided in this application, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0067] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0068] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0069] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for achieving rapid high-temperature synthesis of pure-phase, doped iron phosphate, characterized in that, Specifically, the following steps are included: S1. Collect the particle surface charge migration characteristics, particle contact potential change characteristics, and low temperature desorption energy distribution characteristics of the iron phosphate precursor during the mixing stage and the initial stage of heating. After collection, input them into the dopant adsorption behavior response rule set. Determine whether the dopant attaches to the iron phosphate particles in different adsorption ways through the response path differentiation results. S2. When the dopant is attached to the iron phosphate particles in different adsorption ways, the release behavior of the dopant during the heating process is continuously tracked based on the dopant adsorption behavior response rule set, and the release start node, activation delay node and release rate change node are extracted to generate an adsorption state change path diagram. S3. Based on the adsorption state change path diagram, the nucleation boundary features and lattice expansion response features of the crystal phase are introduced to perform time-series matching between the dopant release path and the crystal phase formation process, construct the synchronization analysis chain between adsorption release and crystal phase growth, and output the time-series deviation parameters and diffusion interference parameters. S4. Based on the timing deviation parameter and diffusion interference parameter, a joint mapping is performed to generate a doping behavior adaptation parameter set, which includes reaction initiation temperature correction parameter and diffusion rhythm adjustment parameter. S5. Introduce the doping behavior adaptation parameter set into the heating and diffusion stages of the high-temperature synthesis process to dynamically control the starting temperature and diffusion rate of the doping reaction, so that the dopant release behavior is synchronized with the crystal phase formation process.

2. The method for achieving rapid high-temperature synthesis of pure-phase, doped iron phosphate according to claim 1, characterized in that, S1 specifically includes the following steps: S101. In the mixing stage of the iron phosphate precursor, a controlled electric excitation signal is applied to the mixing system to record the time-series response data formed by the migration of surface charge between particles, so as to collect the particle surface charge migration characteristics; in the initial stage of heating, the potential of the particle contact interface is monitored to record the continuous response trajectory formed by the change of contact interface potential with temperature, so as to collect the particle contact potential change characteristics; and under low temperature desorption conditions, the energy distribution data corresponding to the initial release of dopant is recorded to collect the low temperature desorption energy distribution characteristics. S102. According to the acquisition time sequence, the particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics are synchronously aligned and used as joint input parameters to input the dopant adsorption behavior response rule set. The adsorption behavior response path corresponding to each input feature is generated through the rule matching process. S103. Perform path differentiation analysis on the adsorption behavior response path. When there are differences in the starting position, evolution direction or bifurcation node of the adsorption behavior response path corresponding to different input characteristics, it is judged that the dopant attaches to the iron phosphate particles in different adsorption ways.

3. The method for rapid high-temperature synthesis of pure-phase, doped iron phosphate according to claim 2, characterized in that, S102 specifically refers to: The particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics are timestamped according to the acquisition time sequence, and a synchronous alignment structure with the heat treatment process as a reference is established on the time axis so that the particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics have a unified response reference relationship. The surface charge migration characteristics of the synchronized particles, the particle contact potential change characteristics, and the low-temperature desorption energy distribution characteristics are used as joint input parameters to construct an input matrix. Each row of the input matrix corresponds to a heat treatment time point, and each column corresponds to a feature dimension. This input matrix is ​​then input into the dopant adsorption behavior response rule set. In the set of dopant adsorption behavior response rules, historical adsorption behavior sample paths that match the input matrix are selected. Based on the node weight matching degree, path turning synchronization and feature evolution direction consistency between the input matrix and the sample paths, adsorption behavior response paths corresponding to particle surface charge migration characteristics, particle contact potential change characteristics and low temperature desorption energy distribution characteristics are generated respectively.

4. The method for achieving rapid high-temperature synthesis of pure-phase, doped iron phosphate according to claim 1, characterized in that, S2 specifically refers to: When dopants are attached to iron phosphate particles in different adsorption modes, based on the dopant adsorption behavior response rule set, the particle surface charge migration characteristics, particle contact potential change characteristics, and low-temperature desorption energy distribution characteristics during the heating process are continuously mapped to the heat treatment time axis to form a release behavior tracking sequence covering the entire heating process, so as to realize continuous tracking of dopant release behavior. In the release behavior tracking sequence, the continuous segments of each feature change over time are analyzed. The time position when the release behavior changes from a stable state to a release state is determined as the release start node. The position corresponding to the time segment where the release behavior maintains a low rate of change over the duration is determined as the activation delay node. The position where the rate of change of the release behavior changes in adjacent time segments is determined as the release rate change node. By connecting the release initiation node, activation delay node, and release rate change node in the order of heating time, an adsorption state change path diagram characterizing the adsorption state evolution of the dopant during the heating process is constructed.

5. The method for achieving rapid high-temperature synthesis of pure-phase, doped iron phosphate according to claim 1, characterized in that, S3 specifically includes the following steps: S301. Based on the adsorption state change path diagram, crystal phase nucleation boundary features and lattice expansion response features are introduced on the heat treatment time axis. The crystal phase nucleation boundary features are obtained by calibrating the time segment corresponding to the transformation of the crystal phase structure from a disordered state to an ordered lattice state. The lattice expansion response features are obtained by extracting the time response trajectory formed by the change of lattice parameters with the heat treatment process. The crystal phase nucleation boundary features and lattice expansion response features are mapped to the time positions corresponding to the adsorption state change path diagram. S302. After completing the time position mapping, the release start node, activation delay node and release rate change node in the dopant release path are compared with the time segment corresponding to the crystal phase nucleation boundary feature and the time response trajectory corresponding to the lattice expansion response feature, respectively. The time matching relationship between the dopant release path and the crystal phase formation process is established based on the time difference and response change relationship between each node. S303. Construct a synchronization analysis chain between adsorption release and crystal growth based on the time-series matching relationship. Extract the time difference between each node in the dopant release path and the crystal nucleation boundary features as a time-series deviation parameter in the synchronization analysis chain. Extract the changing coupling relationship between the dopant release path and the lattice expansion response features as a diffusion interference parameter.

6. The method for achieving rapid high-temperature synthesis of pure-phase, doped iron phosphate according to claim 5, characterized in that, S303 specifically refers to: Based on the temporal matching relationship, the release start node, activation delay node and release rate change node in the dopant release path are embedded into the time axis corresponding to the crystal phase formation process in the order of heating time. This forms a multi-node temporal correlation structure with the dopant release node and the crystal phase nucleation boundary characteristics and lattice expansion response characteristics as the correlation objects, which serves as the basic framework of the synchronization analysis chain. In the synchronization analysis chain, each node in the dopant release path is aligned with the time segment corresponding to the crystal phase nucleation boundary feature. The relative position difference of each node on the time axis is calculated, and the relative position difference is summarized to form a node-level time offset sequence. This node-level time offset sequence is used as the timing deviation parameter. In the synchronization analysis chain, the response trend of the dopant release path changing with time and the response trend of the lattice expansion response characteristics changing with time are compared in the synchronization segment. The consistency and difference of the two types of response trends in the corresponding time segment are extracted, and the coupling result composed of the consistency and difference of the change is used as the diffusion interference parameter.

7. The method for achieving rapid high-temperature synthesis of pure-phase, doped iron phosphate according to claim 1, characterized in that, S4 specifically refers to: Based on the timing deviation parameter and the diffusion interference parameter, the two types of parameters are aligned according to the position of the corresponding dopant release node on the heat treatment time axis, and a joint mapping relationship is constructed with the timing deviation parameter as the time dimension and the diffusion interference parameter as the response dimension, so that each set of parameters corresponds to the behavior segment in the dopant release path. Based on the joint mapping relationship, the timing deviation parameters and diffusion interference parameters in each behavior segment are jointly analyzed to extract the parameter combinations that reflect the degree of dopant release timing deviation and diffusion restriction. The parameter combinations are then arranged according to the heating process to form the basic structure of the doping behavior adaptation parameter group. Based on the basic structure of the doping behavior adaptation parameter set, the parameter combination corresponding to the dopant release initiation segment is determined as the reaction initiation temperature correction parameter, and the parameter combination corresponding to the dopant continuous release segment is determined as the diffusion rhythm adjustment parameter, so as to generate a doping behavior adaptation parameter set containing the reaction initiation temperature correction parameter and the diffusion rhythm adjustment parameter.

8. The method for achieving rapid high-temperature synthesis of pure-phase, doped iron phosphate according to claim 1, characterized in that, S5 specifically refers to: The reaction initiation temperature correction parameter in the doping behavior adaptation parameter group is mapped to the heat treatment temperature of the heating stage in the high-temperature synthesis process, and the initial control node of the heating curve is updated according to the reaction initiation temperature correction parameter to establish the parameter linkage relationship between dopant release behavior and heating start-up conditions. After the curve is updated during the heating stage, the diffusion rhythm adjustment parameter in the doping behavior adaptation parameter group is matched with the heat treatment time axis of the diffusion stage in the high-temperature synthesis process. The diffusion rhythm adjustment parameter is injected into the time control structure of the diffusion stage to adjust the time distribution and temperature maintenance range of the diffusion section. During the continuous execution of the heating and diffusion stages, the heat treatment control unit is dynamically commanded based on the parameter mapping results of the doping behavior adaptation parameter group, so as to realize the synchronous control of the onset temperature of the doping reaction and the diffusion rhythm over time.

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