CN-122024958-A - Sodium iron phosphate electrode material performance optimization method

CN122024958ACN 122024958 ACN122024958 ACN 122024958ACN-122024958-A

Abstract

The application provides a sodium iron phosphate electrode material performance optimization method which comprises the steps of obtaining image data of an electrode material through imaging equipment, determining particle size distribution characteristics by adopting an image processing technology, grouping particles according to the particle size distribution characteristics by using a classification method, determining potential influence indexes of conduction efficiency and reactivity, adjusting particle size distribution parameters according to a surface property evaluation result, simulating reaction area change, judging reaction area lifting degree, inputting optimization parameters through the reaction area lifting degree in combination with a performance simulation model, running a cyclic test simulation to obtain capacity attenuation rate prediction data, constructing an objective function according to the capacity attenuation rate prediction data, adopting an optimization algorithm to carry out iterative solution to determine a balance configuration scheme of particle size and surface property, generating material synthesis control parameters according to the balance configuration scheme, and obtaining a final performance optimization result through numerical simulation verification application effect.

Inventors

WU TIAN
ZHANG YU
WU HAIFENG
LIU CHUANGANG
CHEN YUE
WU WENXUE

Assignees

湖北第二师范学院
中凝科技(湖北)有限公司

Dates

Publication Date: 20260512
Application Date: 20260126

Claims (8)

1. The method for optimizing the performance of the sodium iron phosphate electrode material is characterized by comprising the following steps of: Acquiring image data of the electrode material by using imaging equipment, and determining particle size distribution characteristics by using an image processing technology; Grouping particles according to the particle size distribution characteristics by using a classification method, and determining potential influence indexes of the conduction efficiency and the reactivity; Response data in an electrochemical test are obtained aiming at the conduction efficiency and the reactivity index, and quantitative values of adsorption capacity and chemical stability are calculated through data analysis, so that a surface property evaluation result is obtained; According to the surface property evaluation result, adjusting particle size distribution parameters, simulating reaction area change, and judging the reaction area lifting degree; Inputting optimization parameters by combining the reaction area lifting degree with a performance simulation model, and running a cyclic test simulation to obtain capacity attenuation rate prediction data; Constructing an objective function according to the capacity attenuation rate prediction data, adopting an optimization algorithm to carry out iterative solution, and determining a balance configuration scheme of particle size and surface properties; And generating material synthesis control parameters aiming at the balance configuration scheme, and verifying the application effect through numerical simulation to obtain a final performance optimization result.
2. The method of optimizing the performance of an electrode material according to claim 1, wherein the acquiring image data of the electrode material by an imaging device, determining the particle size distribution characteristics using an image processing technique, comprises: acquiring raw image data of the electrode material by an imaging device; Processing the original image data by adopting an image segmentation technology, and separating out a single particle area; determining grain contour boundaries for the single grain region by applying a boundary detection method; calculating the diameter value of each particle according to the particle contour boundary to obtain particle size information; if abnormal data exist in the particle size information, screening is carried out through a preset threshold range, and diameter values which do not meet the conditions are removed, so that corrected particle size information is obtained; determining the particle size distribution characteristics by performing statistical analysis on the corrected particle size information; and generating a distribution data table aiming at the particle size distribution characteristics, and recording the particle quantity ratio in different size ranges.
3. The method of optimizing the performance of an electrode material according to claim 1, wherein said grouping particles according to said particle size distribution characteristics using a classification method to determine potential impact indicators of conduction efficiency and reactivity comprises: Processing the particle size distribution characteristics by adopting a pre-established classification model, and grouping the particle sizes by using a support vector machine algorithm to obtain preliminary division results of a small-size group and a large-size group; Acquiring two groups of particle quantity ratio information according to the preliminary division result, and determining proportion characteristics; aiming at the proportion characteristic, acquiring electrochemical response data of two groups of particles in a specific environment; if the response data of the small-size group is higher than a preset threshold value, marking the response data of the small-size group as a high-activity group; If the response data of the large-size group is lower than a preset threshold value, marking the response data of the large-size group as a low-activity group; And obtaining conduction efficiency difference data through the identification information of the high-activity group and the low-activity group, processing the difference data by adopting a statistical tool, judging a significance distinguishing result, and determining potential association indexes of the reactivity and the particle size grouping.
4. The method for optimizing the performance of an electrode material according to claim 1, wherein the step of obtaining response data in an electrochemical test for the conductive efficiency and the reactivity index, calculating quantitative values of adsorption capacity and chemical stability by data analysis, and obtaining a surface property evaluation result comprises: Acquiring response data of materials from an electrochemical test, and recording a plurality of groups of response data to obtain an initial test data set; Cleaning and normalizing the initial test data set by adopting a data processing method to obtain a standard data set; according to the standard data set, analyzing response data by using a curve fitting method, and calculating a quantized value of adsorption capacity to obtain adsorption performance evaluation data; the quantitative value of the chemical stability is determined by the adsorption performance evaluation data and combining with the response data of the chemical stability and adopting a statistical tool for comparative analysis; If the quantized value of the chemical stability is lower than a preset threshold value, performing secondary extraction on the response data to obtain a supplementary data set; And comprehensively analyzing according to the supplementary data set and the adsorption performance evaluation data to obtain the surface property evaluation result.
5. The method for optimizing the performance of an electrode material according to claim 1, wherein the step of adjusting the particle size distribution parameter according to the surface property evaluation result, simulating the change of the reaction area, and judging the degree of improvement of the reaction area comprises: acquiring adsorption capacity data according to the surface property evaluation result; If the adsorption capacity data is lower than a preset threshold value, adjusting particle size distribution parameters by adopting an optimization algorithm to obtain a preliminary distribution parameter scheme; according to the preliminary distribution parameter scheme, performing simulation calculation aiming at different size ratios, obtaining corresponding data of the size ratios and the reaction areas, and determining a change trend; Screening out parameter configuration with higher reaction area lifting amplitude by combining the change trend with the size proportion adjustment range to obtain an optimized size distribution scheme; aiming at the optimized size distribution scheme, obtaining distribution data, carrying out standardized arrangement through a data processing tool, and determining a final parameter configuration result; and simulating the reaction area expression data according to the final parameter configuration result, judging the stability of the lifting amplitude, and obtaining the optimized effect data.
6. The method for optimizing the performance of an electrode material according to claim 1, wherein the step of obtaining the capacity-fading-rate prediction data by inputting the optimization parameters through the degree of reaction area improvement in combination with a performance simulation model and running a cyclic test simulation comprises the steps of: carrying out standardized arrangement by adopting a data processing tool according to the reaction area lifting degree to obtain a structured lifting data record; According to the structured lifting data record, parameter initialization configuration is carried out by combining a performance simulation model, and basic parameter setting of a simulation environment is determined; through the basic parameter setting, adopting a genetic algorithm to screen the optimized parameter combination to obtain an adaptive parameter configuration scheme; According to the adaptive parameter configuration scheme, performing a cyclic simulation test, acquiring capacity attenuation data, and determining a change trend; carrying out subsection statistics by adopting a data processing tool according to the variation trend to obtain attenuation rate distribution conditions of different simulation stages; if the attenuation rate at a certain stage exceeds a preset threshold, marking the simulation data at the stage, judging abnormal fluctuation, and obtaining a final capacity attenuation rate prediction result.
7. The method for optimizing the performance of an electrode material according to claim 1, wherein constructing an objective function based on the capacity-fade prediction data, iteratively solving by an optimization algorithm, determining a balanced configuration scheme of particle size and surface properties, comprises: Acquiring an initial data set through the capacity attenuation rate prediction data, and adopting a pretreatment tool to carry out cleaning and standardization treatment to obtain a structured basic data set; Constructing an objective function according to the structured basic data set, and determining a mathematical expression form of the objective function by taking the particle size and the surface property as variables to be input by combining a collaborative optimization method; Performing iterative solution by adopting a genetic algorithm aiming at the mathematical expression form of the objective function to obtain an approximate solution set of the minimum value of the function; Analyzing the corresponding relation between the particle size and the surface property through the approximate solution set; if the deviation exceeds the preset threshold range, adjusting the variable weight, and re-acquiring a new approximate solution set; and generating a balanced configuration scheme according to the new approximate solution set, and determining a final configuration scheme set through multiple rounds of iterative verification.
8. The method for optimizing the performance of an electrode material according to claim 1, wherein the generating the material synthesis control parameters for the balanced configuration scheme, verifying the application effect through numerical simulation, and obtaining the final performance optimization result includes: acquiring initial data through the balance configuration scheme, constructing a material synthesis preliminary model, and determining a control parameter range; according to the preliminary model, a numerical simulation tool is adopted to simulate the synthesis process, and synthesis results under different control parameters are obtained; if the synthesis result has deviation from the actual environmental condition, adjusting control parameters, carrying out numerical simulation again, and judging the adjusted synthesis effect; Determining an environmental adaptability evaluation result by combining the adjusted synthetic effect data with actual environmental key indexes; Screening control parameters by adopting a support vector machine algorithm according to the environmental adaptability evaluation result to obtain an optimized parameter combination; And generating a final synthesis process flow through the optimized parameter combination, determining an application effect and generating an effect evaluation report.

Description

Sodium iron phosphate electrode material performance optimization method Technical Field The invention relates to the technical field of information, in particular to a method for optimizing the performance of a sodium iron phosphate electrode material. Background In the fields of material science and new energy, research and optimization of battery material properties are considered as one of the core powers for promoting technical innovation. Particularly, the performance of the positive electrode material such as sodium iron phosphate is directly related to the energy density and the cycle stability of the battery, and the positive electrode material has irreplaceable value for the development of electric automobiles and energy storage equipment. However, how to improve overall performance through fine tuning of material properties is always a focus of industry attention. Currently, while many studies and methods have been directed to improving the performance of such materials, complex interactions between different properties of the materials are often ignored. The existing scheme is mainly focused on the improvement of a single attribute, and the synergy among the attributes cannot be fully considered, so that the optimization effect is limited. A further problem is that the lack of a comprehensive understanding of the microscopic nature of the material, especially in practical application scenarios, is often affected by a combination of factors, the dynamics and complexity of which are underestimated. In this context, particle size and surface properties become key technical factors affecting material properties. The size of the particles not only determines the conductivity and reactivity of the material in the cell, but also further influences the performance of surface properties such as surface adsorption capacity and chemical stability. If the particle size is not suitable, it may result in insufficient effect of the surface properties, for example, when the particle is too large, the surface reaction area is reduced, thereby limiting the electrochemical performance of the material. In practical production, the problem is often reflected in the phenomenon that the material reaction is uneven and even capacity is attenuated in the charging and discharging process of the battery, and the service life and the safety of the product are seriously influenced. Therefore, how to find the optimal balance point between the particle size and the surface property and realize the cooperative optimization of the particle size and the surface property through comprehensive regulation and control becomes a key problem for improving the performance of the sodium iron phosphate material. The solution of this problem, not only with respect to the improvement of the material itself, but also directly affects the overall progress of the battery technology and the feasibility of the market application. Disclosure of Invention The invention provides a method for optimizing the performance of a sodium iron phosphate electrode material, which mainly comprises the following steps: The method comprises the steps of obtaining image data of electrode materials through imaging equipment, determining particle size distribution characteristics by adopting an image processing technology, grouping particles according to the particle size distribution characteristics, determining potential influence indexes of conduction efficiency and reactivity by using a classification method, obtaining response data in an electrochemical test according to the conduction efficiency and reactivity indexes, obtaining a surface property evaluation result by calculating quantitative values of adsorption capacity and chemical stability through data analysis, adjusting particle size distribution parameters according to the surface property evaluation result, simulating reaction area change, judging reaction area lifting degree, inputting optimization parameters according to the reaction area lifting degree by combining a performance simulation model, operating a cyclic test simulation to obtain capacity attenuation rate prediction data, constructing an objective function according to the capacity attenuation rate prediction data, adopting an optimization algorithm to carry out iterative solution to determine a balance configuration scheme of particle size and surface properties, generating material synthesis control parameters according to the balance configuration scheme, and obtaining a final performance optimization result through numerical simulation verification application effect. Further, the method comprises the steps of obtaining image data of electrode materials through imaging equipment, determining particle size distribution characteristics through an image processing technology, collecting original image data of the electrode materials through the imaging equipment, processing the original image data through an image segmentation tech