CN117790962A

CN117790962A - Battery recycling method and device based on dissociation process parameter optimization

Info

Publication number: CN117790962A
Application number: CN202410206992.7A
Authority: CN
Inventors: 丁柏栋; 郑伟鹏; 赵峰; 李艳芹
Original assignee: Jiangsu Jiecheng New Energy Technology Co ltd
Current assignee: Jiangsu Jiecheng New Energy Technology Co ltd
Priority date: 2024-02-26
Filing date: 2024-02-26
Publication date: 2024-03-29
Anticipated expiration: 2044-02-26
Also published as: CN117790962B

Abstract

The invention relates to the technical field of battery dissociation, and discloses a battery recovery method and device based on dissociation process parameter optimization, wherein the method comprises the following steps: calculating a Thiessen segmentation ratio set of a process test point according to the electrode material dissociation rate and the electrode material dissociation rate set by utilizing a segmentation ratio formula, drawing a three-dimensional Thiessen polyhedron according to the Thiessen segmentation ratio set, calculating a process three-dimensional density according to the three-dimensional Thiessen polyhedron by utilizing a test point density formula, extracting a maximum process three-dimensional density value and a target process index value set corresponding to the maximum process three-dimensional density value, and carrying out electrode material dissociation recovery according to the target process index value set. The invention mainly aims to solve the problem of poor optimizing effect on the optimization of the adhesive dissolving process parameters at present.

Description

Battery recycling method and device based on dissociation process parameter optimization

Technical Field

The invention relates to a battery recycling method and device based on dissociation process parameter optimization, and belongs to the technical field of battery dissociation.

Background

The lithium ion battery has the advantages of high working voltage, high energy density, low self-discharge rate, no memory effect and the like, and is widely applied to the fields of automobiles, energy storage and the like. As an important component of "urban mine", lithium batteries contain a large amount of valuable metals such as cobalt, lithium, nickel, and the like. At the same time, the unreasonable disposal of waste lithium batteries poses a great threat to the ecological environment and human health. Therefore, the research on the recovery treatment of the waste batteries is of great significance.

The lithium ion battery consists of a shell, a positive plate, a negative plate, a diaphragm, electrolyte and the like. The positive plate consists of aluminum foil and a positive electrode coating material, wherein the positive electrode coating material comprises a positive electrode active material, namely a lithium ion compound, conductive carbon and a binder (PVDF is mainly). The negative electrode sheet is composed of copper foil and a negative electrode coating material, the negative electrode coating material mainly comprises graphite, conductive carbon and a binder (styrene-butadiene rubber, acrylic resin and the like), wherein the binder is a main reason for preventing the negative electrode sheet from dissociating from a metal substrate in the separation and enrichment process of positive and negative electrode active substances of the battery, and the conventional interface dissociation method comprises the following steps: solvent dissolution, heat treatment and mechanical separation.

The organic solvent dissolving method is to dissolve the adhesive into the organic solvent by using the principle of similar compatibility so as to realize the interface separation between the current collector and the coating material. The influencing factors of the dissolution effect of the binder are: the method for researching the effect of influencing factors on the dissolution of the binder mainly comprises the steps of analyzing the water content of the organic solvent, the dissolution temperature, the solid-liquid ratio of the solvent, the stirring rate, the dissolution time and the like through orthogonal experiments, but the research mode cannot fully utilize orthogonal experimental data to analyze the dissolution effect, so that the problem of poor optimization effect on the optimization of the dissolution process parameters of the binder exists currently.

Disclosure of Invention

The invention provides a battery recycling method and device based on dissociation process parameter optimization and a computer readable storage medium, and mainly aims to solve the problem that the optimization effect is poor in the current binder dissolution process parameter optimization.

In order to achieve the above object, the present invention provides a battery recycling method based on dissociation process parameter optimization, comprising:

acquiring a process index set, and extracting a preset target process index set from the process index set, wherein the target process index set comprises: an organic solvent water content index, a dissolution temperature index and a solvent solid-liquid ratio index;

a process three-dimensional coordinate system is constructed according to the target process index set, and a process test point set is selected from the process three-dimensional coordinate system according to a preset unit test interval group, wherein the three-dimensional distances among process test points in the process test point set are the same;

sequentially extracting process test points from the process test point set, and identifying a process index value set of the process test points, wherein the process index value set comprises: the water content of the organic solvent, the dissolution temperature and the solid-to-liquid ratio of the solvent;

acquiring electrode material dissociation rates of the process test points according to the process index value set, identifying surrounding test point sets of the process test points, and acquiring electrode material dissociation rate sets corresponding to the surrounding test point sets;

Calculating the Thiessen segmentation ratio of the process test point and each peripheral test point in the peripheral test point set by utilizing a pre-constructed segmentation ratio formula according to the electrode material dissociation rate and the electrode material dissociation rate set to obtain a Thiessen segmentation ratio set, wherein the segmentation ratio formula is as follows:

wherein,representing the Thiessen split ratio of the ith process test point to the jth surrounding test points of the ith process test point,/->Electrode material dissociation rate indicating the ith process test point,/->Electrode representing the jth surrounding test point of the ith process test pointDissociation rate of material>A scale adjustment index between the jth peripheral test point representing the ith process test point and the ith process test point,/for each process test point>；

Drawing a three-dimensional Thiessen polyhedron by using the process test points and the surrounding test point sets according to the Thiessen segmentation ratio set;

calculating the process three-dimensional density of the process test point by utilizing a pre-purchased test point density formula according to the three-dimensional Thiessen polyhedron, wherein the test point density formula is as follows:

wherein,representing the process three-dimensional density of the ith process test point, < ->Representing the volume of the three-dimensional Thiessen polyhedron where the ith process test point is located;

Extracting a maximum process three-dimensional density value and a target process index value set corresponding to the maximum process three-dimensional density value from the three-dimensional Thiessen polyhedron;

and carrying out electrode material dissociation recovery according to the target process index value set to finish battery recovery based on dissociation process parameter optimization.

Optionally, the extracting a preset target process index set from the process index set includes:

sequentially extracting process indexes from the process index set, and judging whether the process indexes are preset monotonic influence indexes, wherein the monotonic influence indexes refer to monotonic influence factors of the process indexes, namely the dissociation rate of the electrode material;

if the process index is a monotonic influence index, returning to the step of sequentially extracting the process indexes in the process index set;

if the process index is not a monotonic influence index, classifying the process index as a target process index;

and summarizing all target process indexes to obtain the target process index set.

Optionally, the building a process three-dimensional coordinate system according to the target process index set, selecting a process test point set in the process three-dimensional coordinate system according to a preset unit test interval group, including:

Extracting an organic solvent water content index, a dissolution temperature index and a solvent solid-liquid ratio index from the target process index set;

constructing the process three-dimensional coordinate system according to the water content index, the dissolution temperature index and the solvent solid-liquid ratio index of the organic solvent, wherein the process three-dimensional coordinate system comprises: an organic solvent water content axis, a dissolution temperature axis and a solvent solid-liquid ratio axis;

respectively obtaining a water content value interval, a dissolution temperature value interval and a solvent solid-liquid ratio value interval of the organic solvent water content index, the dissolution temperature index and the solvent solid-liquid ratio index;

intercepting a target process three-dimensional interval in the process three-dimensional coordinate system according to the water content value interval, the dissolution temperature value interval and the solvent solid-liquid ratio value interval;

respectively obtaining unit test intervals of the water content axis, the dissolution temperature axis and the solvent solid-liquid ratio axis of the organic solvent to obtain a unit test interval group, wherein the unit test interval group comprises: organic solvent water content unit interval, dissolution temperature unit interval and solvent solid-liquid ratio unit interval;

and extracting the process test point set in the target process three-dimensional interval according to the unit test interval group.

Optionally, the obtaining the electrode material dissociation rate of the process test point according to the process index value set includes:

obtaining a standard process value of the monotonic influence index;

summarizing all standard process values of monotonically influencing indexes to obtain a standard process value set;

and determining the electrode material dissociation rate of the pretreated electrode fragments according to the standard process value set and the process index value set to obtain the electrode material dissociation rate of the process test point.

Optionally, the identifying the set of surrounding test points of the process test point includes:

constructing a peripheral selection square frame according to the unit test interval group, wherein the length of the edges parallel to the organic solvent water content axis in the peripheral selection square frame is 2 times of the unit interval of the organic solvent water content, the length of the edges parallel to the dissolution temperature axis is 2 times of the unit interval of the dissolution temperature, and the length of the edges parallel to the solvent solid-liquid ratio axis is 2 times of the unit interval of the solvent solid-liquid ratio;

identifying a box center point of the surrounding selected boxes, and moving the box center point to the process test point to obtain in-place selected boxes;

and extracting the process test points on the in-place selection square frame to obtain the surrounding test point set.

Optionally, before calculating the Thiessen division ratio of the process test point to each peripheral test point in the peripheral test point set according to the electrode material dissociation rate and the electrode material dissociation rate set by using a pre-constructed division ratio formula, the method further includes:

sequentially extracting unit interval edge lengths from the target process three-dimensional interval, wherein the unit interval edge lengths comprise: the water content edge length, the dissolution temperature edge length and the solid-liquid ratio edge length are equal to the water content unit spacing of the organic solvent, the dissolution temperature edge length is equal to the dissolution temperature unit spacing, and the solid-liquid ratio edge length is equal to the solid-liquid ratio unit spacing of the solvent;

judging the edge length type of the unit interval edge length;

if the edge length type is the water content edge length, acquiring an edge length interval, an edge length dissolution temperature and an edge length solid-liquid ratio of the water content edge length;

according to the long edge interval, the long edge dissolution temperature and the long edge solid-to-liquid ratio of the long edges of the water content, the horizontal decomposition rate of the electrode fragments on the long edges of the water content is measured by utilizing the standard process value set;

obtaining the dissociation division water content of the horizontal dissociation rate of the water-containing electrode, and calculating the water content horizontal percentage of the water content edge length according to the dissociation division water content;

Obtaining the water content edge length of the electrode material, calculating a water content edge length proportion adjustment index according to the water content percentage and the water content edge length of the electrode material, and utilizing a pre-purchased water content proportion adjustment formula, wherein the water content proportion adjustment formula is as follows:

wherein,indicate->Proportional adjustment index of the length of the ridge of the water content, < >>Indicate->The water content level percentage of the individual water content edge length, < >>The representation represents +.>The electrode material with long water content comprises water dissociation ratio->A first process test point representing the edge length of the dissolution temperature,>a second process test point indicating the edge length of the dissolution temperature,；

if the edge length type is the dissolution temperature edge length, obtaining an edge length interval, an edge length water content and an edge length solid-liquid ratio of the dissolution temperature edge length;

according to the long edge interval, the long edge water content and the long edge solid-liquid ratio of the dissolution temperature edge, the temperature electrode flat dissociation rate of the electrode fragments on the dissolution temperature edge is measured by utilizing the standard process value set;

obtaining a dissociation bisection temperature value of the dissociation rate of the temperature electrode level, and calculating a dissolution temperature level ratio of the dissolution temperature edge length according to the dissociation bisection temperature value;

Obtaining the temperature dissociation ratio of the electrode material with the long dissolution temperature edge, and calculating the proportion adjustment index of the long dissolution temperature edge by using a pre-purchased temperature proportion adjustment formula according to the dissolution temperature leveling ratio and the temperature dissociation ratio of the electrode material, wherein the temperature proportion adjustment formula is as follows:

wherein,indicate->Proportional control index of the edge length of the individual dissolution temperatures, < >>Indicate->Dissolution temperature percentage of the individual dissolution temperature edge length, +.>The representation represents +.>The electrode material with long water content comprises water dissociation ratio->A first process test point representing the edge length of the dissolution temperature,>a second process test point indicating the edge length of the dissolution temperature,；

if the edge length type is that the solid-liquid ratio edge length, obtaining an edge length section, an edge length water content and an edge length dissolution temperature of the solid-liquid ratio edge length;

according to the long edge interval, the long edge water content and the long edge dissolution temperature of the solid-liquid ratio edge, the solid-liquid ratio electrode flat dissociation rate of the electrode fragments on the solid-liquid ratio edge length is measured by utilizing the standard process value set;

obtaining the dissociation halving solid-liquid ratio of the solid-liquid ratio electrode level dissociation rate, and calculating the solid-liquid level ratio of the solid-liquid ratio edge length according to the dissociation halving solid-liquid ratio;

Acquiring the solid-liquid dissociation ratio of the electrode material with the solid-liquid ratio edge length, and calculating the ratio adjustment index of the solid-liquid ratio edge length by utilizing a pre-purchased solid-liquid ratio adjustment formula according to the solid-liquid level ratio and the solid-liquid dissociation ratio of the electrode material, wherein the solid-liquid ratio adjustment formula is as follows:

wherein,indicate->Proportional control index of the edge length of the individual dissolution temperatures, < >>Indicate->The solid-liquid level ratio of the individual solid-liquid ratio to the ridge, < ->The representation represents +.>Electrode material with longer solid-liquid ratio edge has solid-liquid dissociation ratio->A first process test point, which indicates that the solid-liquid ratio is longer than the edge, ">A second process test point representing the solid-to-liquid ratio edge length,；

sequentially extracting unit diagonal lines in the target process three-dimensional interval, and obtaining the water content edge length, the dissolution temperature edge length and the solid-liquid ratio edge length of the unit diagonal lines;

according to the water content edge length, the dissolution temperature edge length and the solid-to-liquid ratio edge length of the unit diagonal, calculating a proportion adjustment index of the unit diagonal by utilizing a pre-constructed unit diagonal proportion adjustment formula, wherein the unit diagonal proportion adjustment formula is as follows:

wherein,indicate->Proportional adjustment index of individual unit diagonal,/- >Indicate->Proportional adjustment index of the length of the water content edge of the unit body diagonal, < >>Indicate->Proportional adjustment index of the length of the dissolution temperature edge of the individual unit diagonal, < >>Indicate->The solid-to-liquid ratio of the unit diagonal is longer than the ridge,；

summarizing the proportion adjustment indexes of all the water content edges, the dissolution temperature edges, the solid-liquid ratio edges and the unit diagonal to obtain the proportion adjustment indexes among all the process test points in the three-dimensional interval of the target process.

Optionally, the drawing the three-dimensional Thiessen polyhedron by using the process test points and the surrounding test point sets according to the Thiessen segmentation ratio set includes:

sequentially extracting every two adjacent process point pairs from the process test point set, and connecting the adjacent process point pairs to obtain adjacent process sections;

extracting the Thiessen segmentation ratios corresponding to the adjacent process point pairs in the Thiessen segmentation ratio set;

determining Thiessen division points on the adjacent process sections according to the Thiessen division ratios corresponding to the adjacent process point pairs;

the Thiessen dividing points are crossed, and planes perpendicular to the adjacent process sections are made to obtain Thiessen dividing surfaces of the adjacent process pairs;

and dividing the adjacent process point pairs by using the Thiessen dividing surface to obtain the three-dimensional Thiessen polyhedron.

Optionally, the extracting the maximum process three-dimensional density value and the target process index value set corresponding to the maximum process three-dimensional density value from the three-dimensional Thiessen polyhedron includes:

extracting a maximum process three-dimensional density value from the three-dimensional Thiessen polyhedron, and identifying a maximum process test point corresponding to the maximum process three-dimensional density value;

acquiring a pole surrounding test point set of the maximum process test point, and acquiring a process index value set corresponding to each pole surrounding test point in the pole surrounding test point set;

constructing a pole three-dimensional interval according to the pole surrounding test point set;

calculating the center point of the pole three-dimensional interval according to the process index value sets corresponding to the test points around each pole, identifying the process index value set of the center point, and taking the process index value set of the center point as the target process index value set.

Optionally, the electrode material dissociation recovery according to the target process index value set includes:

determining the electrode material dissociation rate of the electrode fragments according to the target process number index value set and the standard process value set;

judging whether the dissociation rate of the electrode material reaches a preset dissociation standard or not;

If the electrode material dissociation rate does not reach the dissociation standard, extracting a monotonic process index set in the process index set;

lifting the electrode material dissociation rate according to the monotonic process index set;

and if the dissociation rate of the electrode material reaches the dissociation standard, completing battery recovery optimized based on the dissociation process parameters.

In order to solve the above problems, the present invention also provides a battery recycling apparatus based on dissociation process parameter optimization, the apparatus comprising:

the process index value determining module is used for obtaining a process index set and extracting a preset target process index set from the process index set, wherein the target process index set comprises: an organic solvent water content index, a dissolution temperature index and a solvent solid-liquid ratio index; a process three-dimensional coordinate system is constructed according to the target process index set, and a process test point set is selected from the process three-dimensional coordinate system according to a preset unit test interval group, wherein the three-dimensional distances among process test points in the process test point set are the same; sequentially extracting process test points from the process test point set, and identifying a process index value set of the process test points, wherein the process index value set comprises: the water content of the organic solvent, the dissolution temperature and the solid-to-liquid ratio of the solvent;

The Thiessen segmentation ratio calculation module is used for obtaining the electrode material dissociation rate of the process test point according to the process index value set, identifying a surrounding test point set of the process test point and obtaining an electrode material dissociation rate set corresponding to the surrounding test point set; calculating the Thiessen segmentation ratio of the process test point and each peripheral test point in the peripheral test point set by utilizing a pre-constructed segmentation ratio formula according to the electrode material dissociation rate and the electrode material dissociation rate set to obtain a Thiessen segmentation ratio set, wherein the segmentation ratio formula is as follows:

wherein,representing the Thiessen split ratio of the ith process test point to the jth surrounding test points of the ith process test point,/->Electrode material dissociation rate indicating the ith process test point,/->Electrode material dissociation rate of the jth surrounding test point representing the ith process test point, +.>A scale adjustment index between the jth peripheral test point representing the ith process test point and the ith process test point,/for each process test point>；

The three-dimensional Thiessen polyhedron drawing module is used for drawing the three-dimensional Thiessen polyhedron by utilizing the process test points and the surrounding test point sets according to the Thiessen segmentation ratio set;

The dissociation recovery module is used for calculating the process three-dimensional density of the process test point by utilizing a pre-purchased test point density formula according to the three-dimensional Thiessen polyhedron, wherein the test point density formula is as follows:

wherein,representing the process three-dimensional density of the ith process test point, < ->Representing the volume of the three-dimensional Thiessen polyhedron where the ith process test point is located; extracting a maximum process three-dimensional density value and a target process index value set corresponding to the maximum process three-dimensional density value from the three-dimensional Thiessen polyhedron; and carrying out electrode material dissociation recovery according to the target process index value set.

In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:

at least one processor; the method comprises the steps of,

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to implement the battery recycling method described above based on optimization of the dissociation process parameters.

In order to solve the above-mentioned problems, the present invention also provides a computer-readable storage medium having stored therein at least one instruction that is executed by a processor in an electronic device to implement the above-mentioned battery recycling method based on optimization of dissociation process parameters.

Compared with the prior art, the invention constructs a process three-dimensional coordinate system for conveniently analyzing the relation between each process index and dissociation effect in the process index set, and as the process three-dimensional coordinate system is three-dimensional, the process three-dimensional coordinate system is required to firstly extract a target process index set containing three target process indexes in the process index set, then a process test point set is selected in the process three-dimensional coordinate system according to a unit test interval group, at the moment, the process test points can be sequentially extracted in the process test point set, the process index value set of the process test points is identified, and because each process test point in the process three-dimensional coordinate system can only represent the process index value set of the point and the electrode material dissociation rate, the process three-dimensional coordinate system is required to be subjected to regional characterization analysis by utilizing the relation between each process test point in the process three-dimensional coordinate system, the electrode material dissociation rate of the process test point is firstly acquired through the process index value set, and the surrounding test point sets of the process test points are required to be identified according to the relation between the unit test interval group, the electrode material dissociation point sets of the process test points can be sequentially extracted in the process test point sets at the moment, the process test point sets are identified, the electrode material dissociation rate of the surrounding test point sets are required to be calculated according to the Thiessen on the relation between the cut off point and surrounding the Tarson, the Tarson three-dimensional split, the cut-dimensional split material is calculated by utilizing the relation between the Tarson and the Tarson, and the Tarson three-dimensional split, and the Tatson the three-dimensional split-dimensional curve is compared with the surrounding curve, and the Tab-split-divided by the process has the three-dimensional curve, and the three-dimensional curve is compared with the three-dimensional curve, and the Tab has the three-dimensional curve and the curve is compared and the curve, the process three-dimensional density of the process test points in each area of the three-dimensional Thiessen polygon characterizes the connection and disconnection results of the process test points, so that the process three-dimensional density of the process test points can be calculated according to the three-dimensional Thiessen polygon by utilizing a pre-purchased test point density formula, and finally, the maximum process three-dimensional density value and a target process index value set corresponding to the maximum process three-dimensional density value are extracted from the three-dimensional Thiessen polygon, and electrode material dissociation and recovery are carried out according to the target process index value set. Therefore, the battery recycling method, the battery recycling device, the electronic equipment and the computer readable storage medium based on the dissociation process parameter optimization mainly aim to solve the problem that the optimization effect is poor for the binder dissolution process parameter optimization at present.

Drawings

FIG. 1 is a schematic flow chart of a battery recycling method based on dissociation process parameter optimization according to an embodiment of the present invention;

FIG. 2 is a functional block diagram of a battery recycling apparatus based on optimization of dissociation process parameters according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of an electronic device for implementing the battery recycling method based on dissociation process parameter optimization according to an embodiment of the present invention.

The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.

Detailed Description

It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.

The embodiment of the application provides a battery recycling method based on dissociation process parameter optimization. The execution subject of the battery recycling method based on dissociation process parameter optimization includes, but is not limited to, at least one of a server, a terminal, and the like, which can be configured to execute the method provided by the embodiment of the application. In other words, the battery recycling method based on the optimization of the dissociation process parameters may be performed by software or hardware installed at the terminal device or the server device. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.

Example 1:

referring to fig. 1, a flow chart of a battery recycling method based on dissociation process parameter optimization according to an embodiment of the invention is shown. In this embodiment, the battery recycling method based on dissociation process parameter optimization includes:

s1, acquiring a process index set, and extracting a preset target process index set from the process index set, wherein the target process index set comprises: an index of water content of the organic solvent, an index of dissolution temperature and an index of solid-liquid ratio of the solvent.

The process index set may be explained as a set of factor indices affecting the dissociation effect of the electrode binder, for example: the water content of the organic solvent, the dissolution temperature, the solid-liquid ratio of the solvent, the stirring rate, the dissolution time and the like. The solvent-to-solid ratio refers to the mass or volume ratio of electrode fragments to organic solvent. The target process index set refers to a factor index set having an influence on the binder dissociation effect that is not monotonically influenced, for example: when the electrode to be dissociated and dissolved is positive electrode, the binder is PVDF (polyvinylidene fluoride), the organic solvent can be NMP (N-methyl pyrrolidone), and experiments show that when the water content of the organic solvent is increased from 0 to 10%, the viscosity of NMP/PVDF system is increased from 22.5 mPas to 23.5 mPas and then decreased from 23.5 mPas to 0, so that the influence of the water content of the organic solvent on the dissociation effect of the binder is not monotonic. The dissolution temperature index and the solvent solid-liquid ratio index are the same, and are not described in detail herein.

In the embodiment of the present invention, the extracting a preset target process index set from the process index set includes:

It is understood that the monotonic influence index refers to a factor index in which the influence on the binder dissociation effect is monotonic, for example: stirring rate and dissolution time, etc., when the stirring rate is increased, the dissolution rate of the binder is monotonously increased at the same time, and fluctuation type change of accelerating first and then reducing then accelerating can not occur, and the dissolution time is the same and is not repeated here.

S2, constructing a process three-dimensional coordinate system according to the target process index set, and selecting a process test point set from the process three-dimensional coordinate system according to a preset unit test interval set, wherein the three-dimensional distances among the process test points in the process test point set are the same.

The process three-dimensional index is a three-dimensional coordinate system constructed according to a target process index set, wherein the x-axis of the process three-dimensional index system represents the water content of the organic solvent, the y-axis can represent the dissolution temperature, and the z-axis can represent the solvent-to-solid ratio. The unit test interval group refers to a unit distance combination of each coordinate axis in the process three-dimensional coordinate system, for example: the unit test pitch of the x-axis may be 1%, and each marked point on the x-axis may be 0, 1%, 2%, …, 10%, etc. The three-dimensional distance being the same refers to the distance between each process test point in the process three-dimensional coordinate system being the same in each direction, for example: when the marked points on the x-axis are 0, 1%, 2% and …; the labeling point on the y-axis is 0 ℃, 1 ℃, 2 ℃, 3 ℃ and …; the mark point on the z-axis is 1: 20. 2: 20. 3: 20. 4: 20. 5: 20.…, the process test points may have a pitch of 1% in the x-axis direction, a pitch of 1 ℃ in the y-axis direction, and a pitch of 1/20 in the z-axis direction.

Further, the constructing a process three-dimensional coordinate system according to the target process index set, selecting a process test point set from the process three-dimensional coordinate system according to a preset unit test interval group, including:

It is understood that the water content value interval refers to the value interval of the water content of the organic solvent, the dissolution temperature value interval refers to the value interval of the dissolution temperature, and the solvent solid-liquid ratio value interval refers to the value interval of the solvent solid-liquid ratio, for example: the water content value interval can be: 0-10%, wherein the dissolution temperature value interval can be 0-100 ℃, the solvent solid-liquid ratio value interval can be 1/20-10/20, and the target process three-dimensional interval refers to an interval range defined in the process three-dimensional coordinate system according to the water content value interval, the dissolution temperature value interval and the solvent solid-liquid ratio value interval.

S3, sequentially extracting process test points from the process test point set, and identifying a process index value set of the process test points, wherein the process index value set comprises: the water content of the organic solvent, the dissolution temperature and the solid-to-liquid ratio of the solvent.

It can be appreciated that since the process test points are determined according to the labeling points on the x-axis, the y-axis and the z-axis, each process test point corresponds to an organic solvent water content, a dissolution temperature and a solvent solid-to-liquid ratio.

S4, acquiring electrode material dissociation rates of the process test points according to the process index value set, identifying surrounding test point sets of the process test points, and acquiring electrode material dissociation rate sets corresponding to the surrounding test point sets.

In detail, the dissociation rate of the electrode material refers to the peeling rate of the active material in the electrode material, and may be the ratio of the mass of the positive electrode active material after dissociation to the mass of the active material before dissociation. The surrounding test point set refers to a process test point set surrounding the process test point, and 9+8+9 process test points are included, including right front, right rear, left front, left rear, right front, right rear and the like of the process test point. It is understood that 6 grid-shaped squares are formed to surround the process test points, the process test points are in the center of the square, and the surrounding test points are the top points (8), the edge middle points (12) and the surface center points (6) of the square.

In the embodiment of the present invention, the obtaining the electrode material dissociation rate of the process test point according to the process index value set includes:

obtaining a standard process value of the monotonic influence index;

It is understood that the standard process value refers to a standard value of the monotonically affecting indicator, for example: the standard value of the dissolution time may be 60min. Since it is necessary to measure the influence on the electrode material dissociation rate at different values of the target process index, it is necessary to control the monotonic influence index to be uniform.

Further, the identifying the set of surrounding test points of the process test point includes:

S5, calculating the Thiessen segmentation ratio of the process test point and each peripheral test point in the peripheral test point set by utilizing a pre-constructed segmentation ratio formula according to the electrode material dissociation rate and the electrode material dissociation rate set to obtain a Thiessen segmentation ratio set.

It can be understood that the Thiessen segmentation ratio refers to the segmentation ratio of the connection line between the process test point and the surrounding test points, and because the Thiessen polygon performs midpoint segmentation on the adjacent scattered points on the plane, the density division of the scattered points can be represented, so that the segmentation ratio of the process test point and the surrounding test point is named as the Thiessen segmentation ratio, and the Thiessen segmentation ratio can be any ratio and is not only 1:1.

in detail, the segmentation ratio formula is as follows:

wherein,representing the Thiessen split ratio of the ith process test point to the jth surrounding test points of the ith process test point,/->Electrode material dissociation rate indicating the ith process test point,/->Electrode material dissociation rate of the jth surrounding test point representing the ith process test point, +.>A scale adjustment index between the jth peripheral test point representing the ith process test point and the ith process test point,/for each process test point>。

Further, since the characteristics of the variation of each target process index are different, the adjustment is required by using the proportional adjustment index.

In the embodiment of the present invention, before calculating the taylon division ratio of the process test point to each peripheral test point in the peripheral test point set by using a pre-constructed division ratio formula according to the electrode material dissociation rate and the electrode material dissociation rate set, the method further includes:

judging the edge length type of the unit interval edge length;

wherein,indicate->Proportional adjustment index of individual unit diagonal,/->Indicate->Proportional adjustment index of the length of the water content edge of the unit body diagonal, < >>Indicate->Proportional adjustment index of the length of the dissolution temperature edge of the individual unit diagonal, < >>Indicate->The solid-to-liquid ratio of the unit diagonal is longer than the ridge,；

It is understood that the unit pitch edge length refers to the connection line between each process test point in the x-axis, y-axis and z-axis directions. The edge length interval refers to a value range of unit interval edge length, for example: when the unit interval edge length is parallel to the x axis and the x axis represents the water content of the organic solvent, the unit interval edge length is the water content edge length, and the edge length interval can be 0-1%. And the edge length dissolution temperature and the edge length solid-liquid ratio respectively represent the dissolution temperature and the solvent solid-liquid ratio of the unit interval edge length, and when the unit interval edge length is the water content edge length, the corresponding dissolution temperature and the solvent solid-liquid ratio are fixed values.

Further, the quality and the category of the electrode fragments need to be controlled to be consistent when the electrode fragments are measured, so that other irrelevant variables are avoided. The horizontal dissociation rate of the water-containing electrode refers to the median value of electrode material dissociation rates of two process test points on the length of the water-containing electrode, for example: when the dissociation rates of the electrode materials of the two process test points on the water content edge length are 98% and 96% respectively, the horizontal dissociation rate of the water-containing electrode is 97%. The dissociation divided water content refers to the water content of the organic solvent of the point corresponding to the horizontal dissociation rate of the water-containing electrode on the water content edge length. The water content split ratio refers to a split ratio of a corresponding point of the horizontal split separation ratio of the water-containing electrode on the water content edge length to the water content edge length, for example: when the water content of the organic solvent corresponding to the water content edge length is 5% -6% and the water content of the organic solvent of the corresponding point is 5.8%, the water content level ratio is 1:4.

It can be understood that the electrode material contains a water content ratio of the organic solvent at the two process test points longer than the water content edge. The first process test point refers to a process test point with the serial number of 1 on the water content edge length, and the second process test point refers to a process test point with the serial number of 2 on the water content edge length, and because the ratio of the parameters is related to the ratio of the ratio adjustment index, the serial numbers of all the process test points need to be calibrated, so that confusion is avoided.

Further, the relevant parameters of the dissolution temperature edge length and the solid-liquid ratio edge length are the same, and are not described in detail herein.

The unit diagonal line can be explained to refer to a connecting line between two oblique process test points in the three-dimensional interval of the target process.

And S6, drawing a three-dimensional Thiessen polyhedron by using the process test points and the surrounding test point sets according to the Thiessen segmentation ratio set.

It can be understood that the three-dimensional Thiessen polyhedron refers to a polyhedron obtained by separating two adjacent process test points by using the Thiessen division ratio and a division plane (perpendicular to the connection line of two adjacent process test points), and is similar to a honeycomb.

In the embodiment of the present invention, the drawing of the three-dimensional Thiessen polyhedron by using the process test points and the surrounding test point sets according to the Thiessen segmentation ratio set includes:

It can be appreciated that when the Thiessen dividing plane is divided, the dividing plane is cut off when the dividing plane intersects with the adjacent dividing plane.

S7, calculating the process three-dimensional density of the process test point by utilizing a pre-purchased test point density formula according to the three-dimensional Thiessen polyhedron.

The process three-dimensional density is the number of process test points in a unit volume centered on the process test point.

In detail, the test point density formula is as follows:

wherein,representing the process three-dimensional density of the ith process test point, < - >Representing the volume of the three-dimensional Thiessen polyhedron where the ith process test point is located.

S8, extracting a maximum process three-dimensional density value and a target process index value set corresponding to the maximum process three-dimensional density value from the three-dimensional Thiessen polyhedron.

The maximum process three-dimensional density value refers to the maximum process three-dimensional density in the region of the three-dimensional Thiessen polyhedron, and the target process index value set refers to the process index value set of the process test point corresponding to the maximum process three-dimensional density.

It can be understood that the extracting the maximum process three-dimensional density value and the target process index value set corresponding to the maximum process three-dimensional density value from the three-dimensional Thiessen polyhedron includes:

It can be appreciated that the maximum process three-dimensional density value refers to the process three-dimensional density of the process test point corresponding to the maximum process three-dimensional density in the three-dimensional Thiessen polyhedron. The maximum process test point refers to a process test point corresponding to the maximum process three-dimensional density in the three-dimensional Thiessen polyhedron. The pole surrounding test point set refers to a surrounding process test point set of the maximum process test point. The pole three-dimensional interval refers to a polyhedral interval surrounded by test points around the pole. The center calculation mode of the pole three-dimensional interval can be the geometric center of the polyhedral interval.

And S9, carrying out electrode material dissociation recovery according to the target process index value set, and completing battery recovery based on dissociation process parameter optimization.

Further, the electrode material dissociation recovery according to the target process index value set includes:

As can be appreciated, the dissociation criterion refers to a preset electrode material dissociation rate criterion, for example: may be 99%. When the electrode material dissociation rate does not reach the dissociation standard, the monotonic process index may be used to further increase the electrode material dissociation rate to reach the dissociation standard, for example: the stirring rate can be increased or the dissolution time can be prolonged.

Example 2:

fig. 2 is a functional block diagram of a battery recycling apparatus according to an embodiment of the present invention based on optimization of dissociation process parameters.

The battery recycling apparatus 100 according to the present invention, which is optimized based on the dissociation process parameters, may be installed in an electronic device. Depending on the functions implemented, the battery recycling apparatus 100 based on the optimization of the dissociation process parameters may include a process index value determining module 101, a Thiessen split ratio calculating module 102, a three-dimensional Thiessen polyhedron drawing module 103, and a dissociation recycling module 104. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.

The process index value determining module 101 is configured to obtain a process index set, and extract a preset target process index set from the process index set, where the target process index set includes: an organic solvent water content index, a dissolution temperature index and a solvent solid-liquid ratio index; a process three-dimensional coordinate system is constructed according to the target process index set, and a process test point set is selected from the process three-dimensional coordinate system according to a preset unit test interval group, wherein the three-dimensional distances among process test points in the process test point set are the same; sequentially extracting process test points from the process test point set, and identifying a process index value set of the process test points, wherein the process index value set comprises: the water content of the organic solvent, the dissolution temperature and the solid-to-liquid ratio of the solvent;

The Thiessen segmentation ratio calculation module 102 is configured to obtain an electrode material dissociation rate of the process test point according to the process index value set, identify a surrounding test point set of the process test point, and obtain an electrode material dissociation rate set corresponding to the surrounding test point set; calculating the Thiessen segmentation ratio of the process test point and each peripheral test point in the peripheral test point set by utilizing a pre-constructed segmentation ratio formula according to the electrode material dissociation rate and the electrode material dissociation rate set to obtain a Thiessen segmentation ratio set, wherein the segmentation ratio formula is as follows:

The three-dimensional Thiessen polyhedron drawing module 103 is configured to draw a three-dimensional Thiessen polyhedron by using the process test points and the surrounding test point sets according to the Thiessen segmentation ratio set;

The dissociation recovery module 104 is configured to calculate, according to the three-dimensional Thiessen polyhedron, a process three-dimensional density of the process test point by using a pre-purchased test point density formula, where the test point density formula is as follows:

In detail, the modules in the battery recycling apparatus 100 based on the dissociation process parameter optimization in the embodiment of the present invention use the same technical means as the battery recycling method based on the dissociation process parameter optimization described in fig. 1, and can produce the same technical effects, which are not described herein.

Example 3:

fig. 3 is a schematic structural diagram of an electronic device for implementing a battery recycling method based on optimization of dissociation process parameters according to an embodiment of the present invention.

The electronic device 1 may comprise a processor 10, a memory 11, a bus 12 and a communication interface 13, and may further comprise a computer program stored in the memory 11 and executable on the processor 10, such as a battery recycling program optimized based on dissociation process parameters.

The memory 11 includes at least one type of readable storage medium, including flash memory, a mobile hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard) or the like, provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only for storing application software installed in the electronic device 1 and various types of data, such as codes of battery recycling programs optimized based on dissociation process parameters, but also for temporarily storing data that has been output or is to be output.

The processor 10 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (CentralProcessingunit, CPU), microprocessors, digital processing chips, graphics processors, a combination of various control chips, and the like. The processor 10 is a control unit (control unit) of the electronic device, connects the respective components of the entire electronic device using various interfaces and lines, executes or executes programs or modules (e.g., battery recycling programs optimized based on dissociation process parameters, etc.) stored in the memory 11, and invokes data stored in the memory 11 to perform various functions of the electronic device 1 and process the data.

The bus may be an Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.

Fig. 3 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.

For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to each component, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.

Further, the electronic device 1 may also comprise a network interface, optionally the network interface may comprise a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the electronic device 1 and other electronic devices.

The electronic device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (organic light-emitting diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device 1 and for displaying a visual user interface.

It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.

The battery recycling program stored in the memory 11 of the electronic device 1, which is optimized based on the dissociation process parameters, is a combination of instructions that, when executed in the processor 10, can implement:

Wherein,representing the Thiessen split ratio of the ith process test point to the jth surrounding test points of the ith process test point,/->Representing the ith workerElectrode material dissociation rate of art test point, +.>Electrode material dissociation rate of the jth surrounding test point representing the ith process test point, +.>A scale adjustment index between the jth peripheral test point representing the ith process test point and the ith process test point,/for each process test point>；

Specifically, the specific implementation method of the above instruction by the processor 10 may refer to descriptions of related steps in the corresponding embodiments of fig. 1 to 2, which are not repeated herein.

Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read-only memory (ROM).

The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:

wherein,representing the Thiessen split ratio of the ith process test point to the jth surrounding test points of the ith process test point,/- >Electrode material dissociation rate indicating the ith process test point,/->Electrode material dissociation rate of the jth surrounding test point representing the ith process test point, +.>A scale adjustment index between the jth peripheral test point representing the ith process test point and the ith process test point,/for each process test point>；

wherein,representing the process three-dimensional density of the ith process test point, < ->Representing the three-dimensional Thiessen where the ith process test point is locatedThe volume of the polyhedron;

The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.

Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A battery recycling method based on dissociation process parameter optimization, the method comprising:

wherein (1)>Representing the Thiessen split ratio of the ith process test point to the jth surrounding test points of the ith process test point,/- >Electrode material dissociation rate indicating the ith process test point,/->Electrode material dissociation rate of the jth surrounding test point representing the ith process test point, +.>A scale adjustment index between the jth peripheral test point representing the ith process test point and the ith process test point,/for each process test point>；

wherein (1)>Representing the process three-dimensional density of the ith process test point, < ->Representing the volume of the three-dimensional Thiessen polyhedron where the ith process test point is located;

2. The battery recycling method based on dissociation process parameter optimization of claim 1, wherein the extracting a preset target process index set from the process index sets comprises:

3. The battery recycling method based on dissociation process parameter optimization of claim 2, wherein the constructing a process three-dimensional coordinate system according to the target process index set, selecting a process test point set from the process three-dimensional coordinate system according to a preset unit test interval set, comprises:

4. A battery recycling method based on optimization of dissociation process parameters as claimed in any one of claims 1-3, wherein said obtaining electrode material dissociation rates of the process test points from the process index value set comprises:

obtaining a standard process value of the monotonic influence index;

5. The battery recycling method based on dissociation process parameter optimization of claim 4, wherein said identifying a set of surrounding test points for said process test points includes:

6. The battery recycling method based on dissociation process parameter optimization of claim 5, wherein before calculating the taylon division ratio of the process test point to each of the peripheral test points in the set of peripheral test points using a pre-constructed division ratio formula based on the electrode material dissociation rate and the electrode material dissociation rate set, the method further comprises:

judging the edge length type of the unit interval edge length;

Wherein (1)>Indicate->Proportional adjustment index of the length of the ridge of the water content, < >>Indicate->The water content level percentage of the individual water content edge length, < >>The representation represents +.>The electrode material with long water content comprises water dissociation ratio,a first process test point representing the edge length of the dissolution temperature,>a second process test point representing the edge length of the dissolution temperature,>；

Wherein (1)>Indicate->Proportional control index of the edge length of the individual dissolution temperatures, < >>Represent the firstDissolution temperature percentage of the individual dissolution temperature edge length, +.>The representation represents +.>The electrode material with long water content comprises water dissociation ratio->A first process test point representing the edge length of the dissolution temperature,>a second process test point representing the edge length of the dissolution temperature,>；

Wherein (1)>Indicate->Proportional control index of the edge length of the individual dissolution temperatures, < >>Indicate->The solid-liquid level ratio of the individual solid-liquid ratio to the ridge, < ->The representation represents +.>Electrode material with longer solid-liquid ratio edge has solid-liquid dissociation ratio->A first process test point, which indicates that the solid-liquid ratio is longer than the edge, ">A second process test point representing the solid-to-liquid ratio edge length,；

wherein (1)>Indicate->Proportional adjustment index of individual unit diagonal,/->Indicate->Proportional adjustment index of the length of the water content edge of the unit body diagonal, < >>Indicate->Proportional adjustment index of the length of the dissolution temperature edge of the individual unit diagonal, < >>Indicate->The solid-to-liquid ratio of the unit diagonal is longer than the ridge, ；

7. The battery recycling method based on dissociation process parameter optimization of claim 1, wherein the drawing a three-dimensional Thiessen polyhedron from the Thiessen segmentation ratio set using the process test points and surrounding test point sets comprises:

8. The battery recycling method based on dissociation process parameter optimization of claim 1, wherein the extracting the maximum process three-dimensional density value and the target process index value set corresponding to the maximum process three-dimensional density value from the three-dimensional Thiessen polyhedron comprises:

9. The battery recycling method based on dissociation process parameter optimization of claim 4, wherein the electrode material dissociation recycling based on the target process index value set comprises:

10. A battery recycling apparatus based on dissociation process parameter optimization, the apparatus comprising:

Wherein (1)>Representing the Thiessen split ratio of the ith process test point to the jth surrounding test points of the ith process test point,/->Electrode material dissociation rate indicating the ith process test point,/->Electrode material dissociation rate of the jth surrounding test point representing the ith process test point, +.>A scale adjustment index between the jth peripheral test point representing the ith process test point and the ith process test point,/for each process test point>；

wherein (1)>Representing the process three-dimensional density of the ith process test point, < ->Representing the volume of the three-dimensional Thiessen polyhedron where the ith process test point is located; extracting a maximum process three-dimensional density value and a target process index value set corresponding to the maximum process three-dimensional density value from the three-dimensional Thiessen polyhedron; and carrying out electrode material dissociation recovery according to the target process index value set.