CN107008671A - The sorting technique and device of a kind of electrokinetic cell - Google Patents

The sorting technique and device of a kind of electrokinetic cell Download PDF

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Publication number
CN107008671A
CN107008671A CN201710196053.9A CN201710196053A CN107008671A CN 107008671 A CN107008671 A CN 107008671A CN 201710196053 A CN201710196053 A CN 201710196053A CN 107008671 A CN107008671 A CN 107008671A
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China
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electrokinetic cell
evaluating
fuzzy
matrix
line
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黄荣
赵亮
王彦红
杨重科
李玉军
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Beijing Electric Vehicle Co Ltd
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Beijing Electric Vehicle Co Ltd
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Priority to CN201710196053.9A priority Critical patent/CN107008671A/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34Sorting according to other particular properties
    • B07C5/344Sorting according to other particular properties according to electric or electromagnetic properties
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques

Abstract

The invention provides a kind of sorting technique of electrokinetic cell and device, wherein method includes:Obtain the evaluating of multiple electrokinetic cells;Data normalization pretreatment is carried out to the evaluating of electrokinetic cell, pretreated evaluating is obtained;According to the pretreated evaluating of each electrokinetic cell, fuzzy similarity matrix is set up;Fuzzy similarity matrix is converted into the fuzzy equivalent matrix with transitivity;Electrokinetic cell is classified according to fuzzy equivalent matrix.The embodiment of the present invention is based on fuzzy cluster analysis principle, cell classification method is transported there is provided a kind of big, with a high credibility, highly reliable the moving back of flexibility, it is acquired without the historical data to battery core, under the conditions of independent of priori theoretical, scientific classification directly and quickly can be carried out to battery core, workload is relatively fewer, greatly improves and moves back the sifting sort efficiency that fortune battery echelon is utilized.

Description

The sorting technique and device of a kind of electrokinetic cell
Technical field
The present invention relates to the sorting technique and device in power battery technology field, more particularly to a kind of electrokinetic cell.
Background technology
Electric automobile is as a kind of vehicles of use new energy, under the situation of environmental pressure and energy crisis, by Gradually favored by people, and start to promote the use of interior on a large scale.
Electric automobile uses lithium ion battery as energy-storage units, under normal circumstances when electrokinetic cell capacity attenuation is to initially , it is necessary to be changed after the 80% of capacity.More and more universal with the use of electric automobile, the battery changed is increasingly It is many, how effectively to utilize and handle retired electrokinetic cell just turn into one it is urgent to be solved the problem of.Wherein to electrokinetic cell ladder The secondary research utilized has obtained the attention of industry generally, during in the prior art to lithium ion battery echelon using analyzing, and leads to Often include two ways:
1st, estimate cell available capacity, and according to this by they be reassembled into new power battery pack with applied to Different occasions;2nd, analyzed, each battery core is carried out by battery management system instant using the whole historical data of battery core Data acquisition, and according to the evolution of data calculating battery core, in addition it is also necessary to sampling carries out CT (Computed Tomography, electricity Sub- computed tomography) imaging, apparent test and disassemble analysis, form bad battery core rejecting standard.Finally according to evolution Uniformity and new battery combo parameter carry out combo to retired battery.
Above-mentioned mode one only accounts for the actual active volume of electrokinetic cell and internal resistance under specified temp, working condition The two parameters are to influence of the battery echelon using screening, and the factor considered is more single, it is impossible to which fortune battery is moved back in reflection comprehensively Attribute, cause analysis confidence level it is relatively low.Above-mentioned mode two needs that the whole historical data of battery core is acquired and counted Battery core evolution is calculated, workload needed for causing the method is very big.In addition, the method also needs to be imaged by CT, apparent test With disassemble analysis etc. mode, carry out bad battery core reject standard formulation, it is necessary to using a variety of large-scale instruments and equipment, cause to be parsed into This is higher.
The content of the invention
The embodiment of the present invention provides the sorting technique and device of a kind of electrokinetic cell, to solve in the prior art to moving back fortune electricity The problem of parameter selects weak single, flexibility, high analysis cost and big workload during the attribute evaluation classification of pond.
The embodiment of the present invention provides a kind of sorting technique of electrokinetic cell, including:
Obtain the evaluating of multiple electrokinetic cells;
Data normalization pretreatment is carried out to the evaluating of the electrokinetic cell, pretreated evaluating is obtained;
According to the pretreated evaluating of each electrokinetic cell, fuzzy similarity matrix is set up;
The fuzzy similarity matrix is converted into the fuzzy equivalent matrix with transitivity;
The electrokinetic cell is classified according to the fuzzy equivalent matrix.
Wherein, the step of evaluating of the multiple electrokinetic cells of acquisition includes:
Obtain field to be applied belonging to multiple electrokinetic cells evaluating type of interest;
In the parameter database of the electrokinetic cell, the corresponding parameter value of the evaluating type is filtered out as institute State the evaluating of electrokinetic cell.
Wherein, data normalization pretreatment is carried out to the evaluating of the electrokinetic cell, obtains pretreated evaluation The step of parameter, includes:
It is interval according to the standard storage pre-set, order of magnitude conversion is carried out to each evaluating of the electrokinetic cell Processing;
The evaluating after order of magnitude conversion processing is stored interval interior to the standard storage, pre- place is obtained Evaluating after reason.
Wherein, described according to the pretreated evaluating of each electrokinetic cell, the step of setting up fuzzy similarity matrix is wrapped Include:
The quantity of the electrokinetic cell is obtained, and the fuzzy similarity matrix is determined according to the quantity of the electrokinetic cell Exponent number;
It is 1 to determine the element on the fuzzy similarity matrix leading diagonal;
According to the pretreated evaluating of each electrokinetic cell, the fuzzy similar square is determined using apart from calculation formula Each element on non-leading diagonal in battle array;
Each element on the non-leading diagonal of determination is placed in correspondence position, the fuzzy similarity matrix is formed.
Wherein, it is described fuzzy using being determined apart from calculation formula according to the pretreated evaluating of each electrokinetic cell Include in similar matrix the step of each element on non-leading diagonal:
For each electrokinetic cell, a vector is determined according to the pretreated evaluating of the electrokinetic cell;
The distance between the corresponding vector of electrokinetic cell vector corresponding with other each electrokinetic cells is calculated, will be obtained Distance value be multiplied with the first predetermined coefficient and obtain the first distance value;
Determine 1 and the difference of each first distance value be the element on non-leading diagonal.
Wherein, described according to the pretreated evaluating of each electrokinetic cell, the step of setting up fuzzy similarity matrix is wrapped Include:
The quantity of the electrokinetic cell is obtained, and the fuzzy similarity matrix is determined according to the quantity of the electrokinetic cell Exponent number;
It is 1 to determine the element on the fuzzy similarity matrix leading diagonal;
For any two electrokinetic cell, the product between corresponding pretreated evaluating is calculated, and to described Product addition is obtained and is worth, and regard described and value and the second predetermined coefficient ratio as the first reference value;
The correspondence position that each described first reference value is placed on non-leading diagonal forms the fuzzy similarity matrix;
Wherein, when first reference value is negative value, it is the second ginseng with the 1/2 of 1 sum to determine first reference value Value is examined, the span for the element that second reference value is placed on corresponding position, non-leading diagonal is between 0~1.
Wherein, it is described the fuzzy similarity matrix is converted into transitivity fuzzy equivalent matrix the step of include:
Fuzzy product computing is carried out to the fuzzy similarity matrix R using following formula;
Work as RkWith REWhen equal, R is determinedkFor the fuzzy equivalence square with transitivity corresponding with the fuzzy similarity matrix R Battle array.
Wherein, it is described to include the step of classified according to the fuzzy equivalent matrix to electrokinetic cell:
For the fuzzy equivalent matrix RkIn element value, determine classification factor λ;
According to the classification factor λ, the electrokinetic cell is classified in the fuzzy equivalent matrix.
Wherein, the fuzzy equivalent matrix RkIn every a line or each column element characterize the corresponding member of an electrokinetic cell Element, it is described according to the classification factor λ when the quantity of the electrokinetic cell is 5, to described in the fuzzy equivalent matrix The step of electrokinetic cell is classified includes:
And a1﹥ a3﹥ a2﹥ a5﹥ a4In the state of;
As λ >=a1When, a will be less than1Element be set to 0, will be greater than or equal to a1Element be set to 1, determine each power Battery corresponds to a classification;
As λ >=a3When, a will be less than3Element be set to 0, will be greater than or equal to a3Element be set to 1, determine the first row and The corresponding electrokinetic cell of the third line is a class, and the corresponding electrokinetic cell of the second row, fourth line, fifth line is respectively a class;
As λ >=a2When, a will be less than2Element be set to 0, will be greater than or equal to a2Element be set to 1, determine the first row, Second row and the corresponding electrokinetic cell of the third line are a class, and the corresponding electrokinetic cell of fourth line, fifth line is respectively a class;
As λ >=a5When, a will be less than5Element be set to 0, will be greater than or equal to a5Element be set to 1, determine the first row, Second row, the third line and the corresponding electrokinetic cell of fifth line are a class, and the corresponding electrokinetic cell of fourth line is a class;
As λ >=a4When, a will be less than4Element be set to 0, will be greater than or equal to a4Element be set to 1, determine the first row, Second row, the third line, fourth line and the corresponding electrokinetic cell of fifth line are a class.
The embodiment of the present invention also provides a kind of sorter of electrokinetic cell, including:
Acquisition module, the evaluating for obtaining multiple electrokinetic cells;
Processing module, carries out data normalization pretreatment for the evaluating to the electrokinetic cell, is pre-processed Evaluating afterwards;According to the pretreated evaluating of each electrokinetic cell, fuzzy similarity matrix is set up;By the fuzzy phase The fuzzy equivalent matrix with transitivity is converted into like matrix;
Sort module, for being classified according to the fuzzy equivalent matrix to the electrokinetic cell.
The beneficial effect of technical scheme of the embodiment of the present invention at least includes:
Technical solution of the present invention, by obtain electrokinetic cell evaluating carry out data normalization pretreatment, and according to The pretreated evaluating of electrokinetic cell, sets up fuzzy similarity matrix;Fuzzy similarity matrix is converted into transitivity After fuzzy equivalent matrix;Electrokinetic cell is classified according to fuzzy equivalent matrix, each of electrokinetic cell can considered On the basis of evaluating, the evaluating paid close attention to according to electrokinetic cell in new opplication field carry out flexibly selection and Independent assortment, and the present invention to the historical data of battery core without be acquired, can be direct under the conditions of independent of priori theoretical Scientific classification rapidly is carried out to battery core, workload is relatively fewer, greatly improve and move back the sifting sort that fortune battery echelon is utilized Efficiency, while without using large-scale instrument and equipment, analysis cost is low.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed for description of the embodiment of the present invention The accompanying drawing to be used is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, For those of ordinary skill in the art, without having to pay creative labor, it can also be obtained according to these accompanying drawings Obtain other accompanying drawings.
Fig. 1 represents the sorting technique schematic diagram for the electrokinetic cell that the embodiment of the present invention one is provided;
Fig. 2 represents the sorting technique schematic diagram for the electrokinetic cell that the embodiment of the present invention two is provided;
Fig. 3 represents the sorting technique schematic diagram for the electrokinetic cell that the embodiment of the present invention three is provided;
Fig. 4 represents the sorter schematic diagram for the electrokinetic cell that the embodiment of the present invention four is provided.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation is described, it is clear that described embodiment is a part of embodiment of the invention, rather than whole embodiments.Based on this hair Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made Example, belongs to the scope of protection of the invention.
Embodiment one
The embodiment of the present invention one provides a kind of sorting technique of electrokinetic cell, including:
Step 101, the evaluating for obtaining multiple electrokinetic cells.
When obtaining the evaluating of multiple electrokinetic cells, it can be selected according to the form of expression of battery inconsistency It is fixed.The actual capacity of battery, internal resistance, self-discharge rate, peak power, open-circuit voltage, short circuit current flow, constant current can be for example chosen to fill Capacitance accounts for the ratio of total charging capacity, cryogenic property etc. as evaluating.Enter in the embodiment of the present invention to multiple batteries During row classification, the evaluating that each electrokinetic cell is selected is identical.When carrying out overall merit to electrokinetic cell attribute, The parameter that can be paid close attention to according to electrokinetic cell in field to be applied carries out flexibly selection and independent assortment.
Step 102, the evaluating to electrokinetic cell carry out data normalization pretreatment, obtain pretreated evaluate and join Number.
For multiple electrokinetic cells, same evaluating is obtained, and data normalization is carried out to the evaluating of acquisition Pretreatment.Wherein to evaluating carry out data normalization pretreatment when, can to evaluating carry out standard deviation conversion or Person's range transformation, to obtain pretreated evaluating.It is certainly not limited to both approaches, those skilled in the art can be with According to demand come set other methods come to evaluating carry out data normalization pretreatment.
Due to that can be multiple for the evaluating selected by electrokinetic cell, each evaluating has different amounts Guiding principle, and order of magnitude difference is larger, in order that different dimensions and the data of the order of magnitude can be also compared, it is necessary to be marked to data Standardization is pre-processed.It is standardized to evaluating after pretreatment, obtains pretreated evaluating.Wherein each is pre- The order of magnitude of evaluating after processing is identical, and in a default interval range.After electrokinetic cell pretreatment is obtained Evaluating after, perform step 103.
Step 103, according to the pretreated evaluating of each electrokinetic cell, set up fuzzy similarity matrix.
After the pretreated evaluating of electrokinetic cell is obtained, according to each electrokinetic cell each be pretreated Evaluating, sets up fuzzy similarity matrix.Wherein when setting up fuzzy similarity matrix, for N number of electrokinetic cell, it is determined that each dynamic L evaluating corresponding to power battery.For each electrokinetic cell one sample of formation, using corresponding computing, for N Individual sample, it is determined that each sample corresponding element in N rank matrixes.The element formed according to each sample in N rank matrixes, really Determine fuzzy similarity matrix.
Specially:For N number of electrokinetic cell, formation sets domain U={ u1, u2..., un, wherein u1Represent the first power electric Pond, u2Represent the second electrokinetic cell ..., unRepresent N electrokinetic cells.For each electrokinetic cell, the similar pass set up on U It is R, R represents fuzzy similarity matrix.Wherein rij=R (ui, uj) represent fuzzy similarity matrix in element, R (ui, uj) represent pin Related operation is carried out to any two electrokinetic cell.Each electrokinetic cell corresponds to a L dimensional vectors, wherein ui={ xi1, xi2..., xiLRepresent the vector that the corresponding L pretreated evaluating of electrokinetic cell is constituted.Fuzzy phase is being obtained using related operation After the element in matrix, step 104 is performed.
Step 104, fuzzy similarity matrix is converted into the fuzzy equivalent matrix with transitivity.
For fuzzy similarity matrix R, only with reflexivity and symmetry, transitivity is unsatisfactory for.Only when R is converted into It could be clustered during fuzzy equivalent matrix with transitivity, it is therefore desirable to which R is transformed into fuzzy equivalent matrix.The present invention is using biography Pass Closure to transform fuzzy similarity matrix, i.e., obscured by asking transmission bag that N rank fuzzy similarity matrixs R is transformed into N ranks Equivalent matrice.Specifically process is:From fuzzy similarity matrix R, fuzzy product computing is carried out successively,When first appearanceWhen, show RkThere is transitivity, RkIt is exactly Required fuzzy equivalent matrix.
Step 105, according to fuzzy equivalent matrix electrokinetic cell is classified.
It is determined that after fuzzy equivalent matrix, being come the process classified to electrokinetic cell according to fuzzy equivalent matrix: According to classification factor is to the element progressization zero in fuzzy equivalent matrix or changes a processing.Fuzzy equivalent matrix after treatment In element in, N number of element after the corresponding arrangement of each electrokinetic cell is determined, for the corresponding N number of member of each electrokinetic cell Element is compared, and when the value and sequence all identical electrokinetic cells that there is N number of element, these electrokinetic cells are divided into one Class.Classification factor is converted according to mentioned above principle, electrokinetic cell classified according in the element of fuzzy equivalent matrix.Wherein most Thin classification can be that each electrokinetic cell corresponds to a classification, it is most thick be categorized as N number of electrokinetic cell belong to it is same Class.
The embodiment of the present invention one, by obtain electrokinetic cell evaluating carry out data normalization pretreatment, and according to The pretreated evaluating of electrokinetic cell, sets up fuzzy similarity matrix;Fuzzy similarity matrix is converted into transitivity After fuzzy equivalent matrix;Electrokinetic cell is classified according to fuzzy equivalent matrix, each of electrokinetic cell can considered On the basis of item evaluating, flexibly selection and independent assortment are carried out to evaluating, and the present invention is without the history to battery core Data are acquired, under the conditions of independent of priori theoretical, directly and quickly can carry out scientific classification, workload phase to battery core To less, greatly improve and move back the sifting sort efficiency that fortune battery echelon is utilized, while without using large-scale instrument and equipment, analysis Cost is low.
Embodiment two
The embodiment of the present invention two provides a kind of sorting technique of electrokinetic cell, including:
Step 201, obtain field to be applied belonging to multiple electrokinetic cells evaluating type of interest.
For multiple electrokinetic cells to be sorted, the evaluation ginseng of its field to be applied electrokinetic cell of interest is determined Several classes of types.The evaluating type of wherein electrokinetic cell includes:Actual capacity, internal resistance, self-discharge rate, peak power, open circuit electricity Pressure, short circuit current flow, constant-current charge capacity account for the ratio of total charging capacity, cryogenic property etc..It is determined that multiple power to be sorted , it is necessary to obtain focus of the field to be applied of multiple electrokinetic cells to electrokinetic cell, i.e. institute before the evaluating of battery The evaluating type of concern, corresponding evaluating is determined according to evaluating type of interest.
Step 202, in the parameter database of electrokinetic cell, filter out the corresponding parameter value of evaluating type as dynamic The evaluating of power battery.
It is determined that after the evaluating type of interest of field to be applied belonging to electrokinetic cell, in the ginseng of electrokinetic cell In number database, filter out the evaluation that the field to be applied corresponding parameter value of evaluating type of interest is electrokinetic cell and join Number.For example:Field to be applied evaluating type of interest includes:Internal resistance, peak power and short circuit current flow, then need in bag Include actual capacity parameter, internal resistance parameter, self-discharge rate parameter, peak power parameter, open-circuit voltage parameter, short circuit current flow parameter, In constant-current charge capacity is accounted for and filtered out in the parameter databases of parameter such as the ratio parameter of total charging capacity, cryogenic property parameter Resistance, peak power and the corresponding parameter value of short circuit current flow as electrokinetic cell evaluating.
It is determined that after the evaluating of electrokinetic cell, step 203 is performed, to the evaluating progress data of electrokinetic cell Standardization pretreatment.
The standard storage that step 203, basis are pre-set is interval, and the order of magnitude is carried out to each evaluating of electrokinetic cell Conversion processing.
Because the evaluating of electrokinetic cell is multiple, each evaluating has different dimensions, and quantity is differential It is not larger, in order that different dimensions and the data of the order of magnitude can be also compared, it is necessary to which data are standardized with pretreatment.
The order of magnitude of each evaluating is converted, standard storage is compressed to interval interior.The embodiment of the present invention is got the bid Accurate storage interval is (- 1~1), 0.02 ohm of the internal resistance of electrokinetic cell can be converted into 0.2;By the maximum of electrokinetic cell Power 8.64KW is converted into 0.864;The short circuit current flow 3.2A of electrokinetic cell is converted into 0.32.
Step 204, by the evaluating after order of magnitude conversion processing store to standard storage it is interval in, obtain pre- place Evaluating after reason.
After each of electrokinetic cell evaluating to be carried out to order of magnitude conversion processing, the evaluating after conversion is deposited Storage is interval interior to standard storage, it is determined that it is pretreated evaluating to store to the evaluating in standard storage interval.Example Such as:The internal resistance for translating into 0.2 electrokinetic cell stores interval interior to standard storage;Translate into 0.864 electrokinetic cell Peak power stores interval interior to standard storage;The short circuit current flow for translating into 0.32 electrokinetic cell is stored to standard storage area In.
Step 205, the quantity for obtaining electrokinetic cell, and determine according to the quantity of electrokinetic cell the rank of fuzzy similarity matrix Number.
After the evaluating of pretreated electrokinetic cell is obtained, the quantity N of electrokinetic cell is obtained, power is being obtained After the quantity N of battery, determine that fuzzy similarity matrix is N rank matrixes according to the quantity N of electrokinetic cell.
Step 206, the element determined on fuzzy similarity matrix leading diagonal are 1.It is determined that after N rank matrixes, setting N ranks N number of element on the leading diagonal of fuzzy similarity matrix is 1.
Step 207, according to the pretreated evaluating of each electrokinetic cell, determine fuzzy phase using apart from calculation formula Like each element on the non-leading diagonal in matrix.
It is determined that after N number of element on the leading diagonal of N rank fuzzy similarity matrixs, being pre-processed according to each electrokinetic cell Evaluating afterwards, each element on non-leading diagonal is determined using apart from calculation formula.
Specially:For each electrokinetic cell, a vector is determined according to the pretreated evaluating of the electrokinetic cell;Meter Calculate the distance between the corresponding vector of electrokinetic cell vector corresponding with other each electrokinetic cells, by obtained distance value with First predetermined coefficient, which is multiplied, obtains the first distance value;Determine 1 and the difference of each the first distance value be the element on non-leading diagonal.
For each electrokinetic cell, according to the electrokinetic cell one parameter vector of pretreated evaluating formation.When The quantity of electrokinetic cell is N, then, can for the first electrokinetic cell when the quantity of the corresponding evaluating of each electrokinetic cell is L Using determine the first parameter vector of its pretreated evaluating formation as:u1={ x11, x12..., x1L, wherein x11Represent First evaluating, x12Represent second evaluating ..., x1LRepresent l-th evaluating.
Calculate corresponding each electrokinetic cell of first parameter vector and other of the first electrokinetic cell it is corresponding vector between Distance.The distance between the first parameter vector second parameter vector corresponding with the second electrokinetic cell is calculated, the first parameter is calculated The distance between vector the 3rd parameter vector corresponding with three-power electric pond;…;Calculate the first parameter vector and N power electrics The distance between corresponding N parameter vectors in pond.
For example:Calculate between the first parameter vector and the second parameter vector apart from when, calculate u1={ x11, x12..., x1LAnd u2={ x21, x22..., x2LThe distance between, wherein the distance between the first parameter vector and the second parameter vector u12 For:
The distance between the first parameter vector and the 3rd parameter vector u are calculated according to mentioned above principle13;…;First parameter to The distance between amount and N parameter vectors u1n.The distance between the second parameter vector and other specification vector, the 3rd are calculated simultaneously The distance between the distance between parameter vector and other specification vector ..., and N parameter vectors and other specification vector.
It is determined that the corresponding vector of any electrokinetic cell it is corresponding with other each electrokinetic cells vector between distance it Afterwards, obtained distance value is multiplied with the first predetermined coefficient and obtains the first distance value, determine 1 and first distance value difference be standard Distance value, the element on non-leading diagonal is defined as by gauged distance value.It should be noted that the first predetermined coefficient is positive number, First distance value is more than 0 and is less than 1.
Step 208, each element on the non-leading diagonal of determination is placed in correspondence position, forms fuzzy similarity matrix.
After each element on non-leading diagonal is obtained, each element on non-leading diagonal is placed in corresponding position Put, form fuzzy similarity matrix.When each element on non-leading diagonal is placed in into corresponding position, by u12Corresponding standard Distance value is placed in the position of the first row secondary series in fuzzy similarity matrix, by u13Corresponding gauged distance value is placed in fuzzy similar square The tertial position ... of the first row in battle array, by u1nCorresponding gauged distance value is placed in the first row Nth column in fuzzy similarity matrix Position.Simultaneously by u21Corresponding gauged distance value is placed in the position of the second row first row in fuzzy similarity matrix, by u23It is corresponding Gauged distance value is placed in the tertial position ... of the second row in fuzzy similarity matrix, by u2nCorresponding gauged distance value is placed in mould Paste the position of the second row Nth column in similar matrix.
Each element on non-leading diagonal is placed in corresponding position, wherein u according to mentioned above principle11、u22u33、…、unn It is respectively positioned on leading diagonal, its corresponding gauged distance value is 1.u11For between the first parameter vector and the first parameter vector away from From u22For the distance between the second parameter vector and the second parameter vector ...;unnFor N parameter vectors and N parameter vectors The distance between, its value is 0, then corresponding first distance value is 0, and corresponding gauged distance value is 1.
Step 209, fuzzy similarity matrix is converted into the fuzzy equivalent matrix with transitivity.
After fuzzy similarity matrix is formed, when fuzzy similarity matrix is converted into fuzzy equivalent matrix:Using following public affairs Formula carries out fuzzy product computing to fuzzy similarity matrix R;
Work as RkWith REWhen equal, R is determinedkFor the fuzzy equivalent matrix with transitivity corresponding with fuzzy similarity matrix R.
Specially:Computing is carried out to fuzzy similarity matrix R using fuzzy product algorithm, when m value is 0, then corresponded to K value be 1, E value be 2, now formulaIt is converted intoWhen m value is 1, The value that then corresponding k value is 2, E is 4, now formulaIt is converted intoAccording to above-mentioned Rule is calculated successively, whenWhen, now Rk=RE, it is determined that RkFor fuzzy equivalence corresponding with fuzzy similarity matrix R Matrix.
The calculating process of wherein fuzzy product is as follows:
For example
S11=(0.3 ∧ 0.3) ∨ (0.7 ∧ 1) ∨ (0.2 ∧ 0)=∨ 0=0.7 of 0.3 ∨ 0.7;
S12=(0.3 ∧ 0.7) ∨ (0.7 ∧ 0) ∨ (0.2 ∧ 0.5)=∨ 0.2=0.3 of 0.3 ∨ 0;
S13=(0.3 ∧ 0.2) ∨ (0.7 ∧ 0.4) ∨ (0.2 ∧ 1)=∨ 0.2=0.4 of 0.2 ∨ 0.4;
S21=(1 ∧ 0.3) ∨ (0 ∧ 1) ∨ (0.4 ∧ 0)=∨ 0=0.3 of 0.3 ∨ 0;
S22=(1 ∧ 0.7) ∨ (0 ∧ 0) ∨ (0.4 ∧ 0.5)=∨ 0.4=0.7 of 0.7 ∨ 0;
S23=(1 ∧ 0.2) ∨ (0 ∧ 0.4) ∨ (0.4 ∧ 1)=∨ 0.4=0.4 of 0.2 ∨ 0;
S31=(0 ∧ 0.3) ∨ (0.5 ∧ 1) ∨ (1 ∧ 0)=∨ 0=0.5 of 0 ∨ 0.5;
S32=(0 ∧ 0.7) ∨ (0.5 ∧ 0) ∨ (1 ∧ 0.5)=∨ 0.5=0.5 of 0 ∨ 0;
S33=(0 ∧ 0.2) ∨ (0.5 ∧ 0.4) ∨ (1 ∧ 1)=∨ 1=1 of 0 ∨ 0.4;
Then
It should be noted that the process of fuzzy product and common matrix multiplication is identical, its distinctive points is:It will add Method is changed into taking maximum, and multiplication is changed into take minimum value.
Step 210, for fuzzy equivalent matrix RkIn element value, classification factor λ is determined, according to classification factor λ, in mould Electrokinetic cell is classified in paste equivalent matrice.
It is determined that after fuzzy similarity matrix, the element value in fuzzy equivalent matrix determines classification factor λ.True Determine after classification factor λ, the classification of electrokinetic cell is carried out according to classification factor λ.
Fuzzy equivalent matrix RkIn every a line or each column element characterize the corresponding element of an electrokinetic cell, obscure etc. Valency matrix is symmetrical matrix, and the corresponding element of the first row element corresponding with first row is identical, the corresponding element of the second row and the The corresponding element of two row is identical ..., and the corresponding element of Nth row element corresponding with Nth column is identical.
When the quantity of electrokinetic cell is 5, according to classification factor λ, electrokinetic cell is divided in fuzzy equivalent matrix The step of class, includes:
And a1﹥ a3﹥ a2﹥ a5﹥ a4In the state of;
As λ >=a1When, a will be less than1Element be set to 0, will be greater than or equal to a1Element be set to 1, determine each power Battery corresponds to a classification;
As λ >=a3When, a will be less than3Element be set to 0, will be greater than or equal to a3Element be set to 1, determine the first row and The corresponding electrokinetic cell of the third line is a class, and the corresponding electrokinetic cell of the second row, fourth line, fifth line is respectively a class;
As λ >=a2When, a will be less than2Element be set to 0, will be greater than or equal to a2Element be set to 1, determine the first row, Second row and the corresponding electrokinetic cell of the third line are a class, and the corresponding electrokinetic cell of fourth line, fifth line is respectively a class;
As λ >=a5When, a will be less than5Element be set to 0, will be greater than or equal to a5Element be set to 1, determine the first row, Second row, the third line and the corresponding electrokinetic cell of fifth line are a class, and the corresponding electrokinetic cell of fourth line is a class;
As λ >=a4When, a will be less than4Element be set to 0, will be greater than or equal to a4Element be set to 1, determine the first row, Second row, the third line, fourth line and the corresponding electrokinetic cell of fifth line are a class.
Specifically, carrying out the explanation of electrokinetic cell classification below with a specific application.
When, classified according to different λ.
In λ >=1:The element for being now less than 1 becomes 0, and the element more than or equal to 1 becomes 1, that is, has:
Fuzzy equivalent matrix RkIn every a line or each column element characterize the corresponding element of an electrokinetic cell, the present invention The differentiation of electrokinetic cell can be carried out in embodiment with the standard of behaviour, the differentiation of electrokinetic cell can also be carried out for benchmark with row.
When with the standard of behaviour, the arrangement of elements in the first row, the second row, the third line, fourth line, fifth line is different, Now each electrokinetic cell corresponds to a classification, now corresponding to be categorized as most thin classification.Five electrokinetic cells are divided into Five classes.Wherein the first row or first row correspond to the first electrokinetic cell, the second row or secondary series the second electrokinetic cell of correspondence, the Three rows or the 3rd row correspondence three-power electric pond, fourth line or the 4th row the 4th electrokinetic cell of correspondence, fifth line or the Five row the 5th electrokinetic cells of correspondence.
In λ >=0.62:The element for being now less than 0.62 becomes 0, and the element more than or equal to 0.62 becomes 1, that is, has:
When with the standard of behaviour, the first row is identical with the arrangement of elements in the third line, the first electrokinetic cell and the 3rd power The arrangement of elements that battery belongs in a classification, the second row, fourth line, fifth line is different, now the second row corresponding second Electrokinetic cell belongs to a classification, and corresponding 4th electrokinetic cell of fourth line belongs to a classification, and fifth line the corresponding 5th is moved Power battery belongs to a classification, and now five electrokinetic cells are divided into four classes.
In λ >=0.48:The element for being now less than 0.48 becomes 0, and the element more than or equal to 0.48 becomes 1, that is, has:
When with the standard of behaviour, the first row, the second row are identical with the arrangement of elements in the third line, the first electrokinetic cell, The arrangement of elements that two electrokinetic cells and three-power electric pond belong in a classification, fourth line, fifth line is different, fourth line pair The 4th electrokinetic cell answered belongs to a classification, and corresponding 5th electrokinetic cell of fifth line corresponds to a classification, now five Electrokinetic cell is divided into three classes.
In λ >=0.47:The element for being now less than 0.47 becomes 0, and the element more than or equal to 0.47 becomes 1, that is, has:
When with the standard of behaviour, the first row, the second row, the third line are identical with the arrangement of elements in fifth line, the first power Battery, the second electrokinetic cell, three-power electric pond and the 5th electrokinetic cell belong to a classification, fourth line element the corresponding 4th Electrokinetic cell corresponds to a classification, and now five electrokinetic cells are divided into two classes.
In λ >=0.41:The element for being now less than 0.41 becomes 0, and the element more than or equal to 0.41 becomes 1, that is, has:
When with the standard of behaviour, the first row, the second row, the third line, fourth line are identical with the arrangement of elements in fifth line, the One electrokinetic cell, the second electrokinetic cell, three-power electric pond, the 4th electrokinetic cell and the 5th electrokinetic cell belong to a classification, Now be categorized as most thick classification, five electrokinetic cells are divided into a class.
The embodiment of the present invention two, by obtain electrokinetic cell evaluating carry out data normalization pretreatment, and according to The pretreated evaluating of electrokinetic cell, sets up fuzzy similarity matrix;Fuzzy similarity matrix is converted into transitivity After fuzzy equivalent matrix;Electrokinetic cell is classified according to fuzzy equivalent matrix, each of electrokinetic cell can considered On the basis of evaluating, the evaluating paid close attention to according to electrokinetic cell in new opplication field carry out flexibly selection and Independent assortment, and the present invention to the historical data of battery core without be acquired, can be direct under the conditions of independent of priori theoretical Scientific classification rapidly is carried out to battery core, workload is relatively fewer, greatly improve and move back the sifting sort that fortune battery echelon is utilized Efficiency, while without using large-scale instrument and equipment, analysis cost is low.
Embodiment three
The embodiment of the present invention three provides a kind of sorting technique of electrokinetic cell, including:
Step 301, obtain field to be applied belonging to multiple electrokinetic cells evaluating type of interest.
For multiple electrokinetic cells to be sorted, the evaluation ginseng of its field to be applied electrokinetic cell of interest is determined Several classes of types.The evaluating type of wherein electrokinetic cell includes:Actual capacity, internal resistance, self-discharge rate, peak power, open circuit electricity Pressure, short circuit current flow, constant-current charge capacity account for the ratio of total charging capacity, cryogenic property etc..It is determined that multiple power to be sorted , it is necessary to obtain focus of the field to be applied of multiple electrokinetic cells to electrokinetic cell, i.e. institute before the evaluating of battery The evaluating type of concern, corresponding evaluating is determined according to evaluating type of interest.
Step 302, in the parameter database of electrokinetic cell, filter out the corresponding parameter value of evaluating type as dynamic The evaluating of power battery.
It is determined that after the evaluating type of interest of field to be applied belonging to electrokinetic cell, in the ginseng of electrokinetic cell In number database, filter out the evaluation that the field to be applied corresponding parameter value of evaluating type of interest is electrokinetic cell and join Number.
The standard storage that step 303, basis are pre-set is interval, and the order of magnitude is carried out to each evaluating of electrokinetic cell Conversion processing.
Because the evaluating of electrokinetic cell is multiple, each evaluating has different dimensions, and quantity is differential It is not larger, in order that different dimensions and the data of the order of magnitude can be also compared, it is necessary to which data are standardized with pretreatment.Will The order of magnitude of each evaluating is converted, and is compressed to standard storage interval interior.The memory block of Plays of the embodiment of the present invention Between be (- 1~1), the storage that those skilled in the art can also carry out established standardses according to demand is interval.
Step 304, by the evaluating after order of magnitude conversion processing store to standard storage it is interval in, obtain pre- place Evaluating after reason.
After each of electrokinetic cell evaluating to be carried out to order of magnitude conversion processing, the evaluating after conversion is deposited Storage is interval interior to standard storage, it is determined that it is pretreated evaluating to store to the evaluating in standard storage interval.
Step 305, the quantity for obtaining electrokinetic cell, and determine according to the quantity of electrokinetic cell the rank of fuzzy similarity matrix Number.
After the evaluating of pretreated electrokinetic cell is obtained, the quantity N of electrokinetic cell is obtained, power is being obtained After the quantity N of battery, determine that fuzzy similarity matrix is N rank matrixes according to the quantity N of electrokinetic cell.
Step 306, the element determined on fuzzy similarity matrix leading diagonal are 1.It is determined that after N rank matrixes, setting N ranks N number of element on the leading diagonal of fuzzy similarity matrix is 1.
Step 307, for any two electrokinetic cell, calculate the product between corresponding pretreated evaluating, And product addition is obtained and is worth, the first reference value will be used as with value and the ratio of the second predetermined coefficient.
It is determined that after element on leading diagonal, for the pretreated evaluating of any two electrokinetic cell, meter The product of corresponding evaluating is calculated, and obtained product is added up, by obtained accumulated value and the second predetermined coefficient phase Than to determine the first reference value.
For each electrokinetic cell, according to the electrokinetic cell one parameter vector of pretreated evaluating formation.When The quantity of electrokinetic cell is N, then, can for the first electrokinetic cell when the quantity of the corresponding evaluating of each electrokinetic cell is L Using determine the first parameter vector of its pretreated evaluating formation as:u1={ x11, x12..., x1L, wherein x11Represent First evaluating, x12Represent second evaluating ..., x1LRepresent l-th evaluating.Second can be determined simultaneously Parameter vector is:u2={ x21, x22..., x2L}.For the first electrokinetic cell and the second electrokinetic cell, join calculating first When examining value, x is calculated11With x21Product, x12With x22Product ..., x1LWith x2LProduct, then L obtained product is entered Row is cumulative, is added up and is worth.After being added up and being worth, cumulative and value is divided by with the second predetermined coefficient, first is obtained Reference value.Wherein the second predetermined coefficient is that for N number of electrokinetic cell, corresponding maximum is cumulative and is worth.
Step 308, the correspondence position formation fuzzy similarity matrix that each first reference value is placed on non-leading diagonal.
After the first reference value is obtained, the correspondence position that each first reference value is placed on non-leading diagonal.For example: For the first electrokinetic cell and the second electrokinetic cell, the first resulting reference value be placed in the position of the first row secondary series with And second row first row position;For the first electrokinetic cell and three-power electric pond, the first resulting reference value is put In the tertial position of the first row and the position of the third line first row;For the second electrokinetic cell and three-power electric pond Speech, the first resulting reference value is placed in the tertial position of the second row and the position of the third line secondary series.
Wherein, when the first reference value is negative value, it is the second reference value to determine the 1/2 of the first reference value and 1 sum, by the The span for the element that two reference values are placed on corresponding position, non-leading diagonal is between 0~1.
Step 309, fuzzy similarity matrix is converted into the fuzzy equivalent matrix with transitivity.
After fuzzy similarity matrix is formed, when fuzzy similarity matrix is converted into fuzzy equivalent matrix:Using following public affairs Formula carries out fuzzy product computing to fuzzy similarity matrix R;
Work as RkWith REWhen equal, R is determinedkFor the fuzzy equivalent matrix with transitivity corresponding with fuzzy similarity matrix R.
Specially:Computing is carried out to fuzzy similarity matrix R using fuzzy product algorithm, when m value is 0, then corresponded to K value be 1, E value be 2, now formulaIt is converted intoWhen m value is 1, The value that then corresponding k value is 2, E is 4, now formulaIt is converted intoAccording to above-mentioned Rule is calculated successively, whenWhen, now Rk=RE, it is determined that RkFor fuzzy equivalence corresponding with fuzzy similarity matrix R Matrix.
The calculating process of wherein fuzzy product is as follows:
For example
S11=(0.2 ∧ 0.2) ∨ (0.7 ∧ 1) ∨ (0.6 ∧ 0.3)=∨ 0.3=0.7 of 0.2 ∨ 0.7;
S12=(0.2 ∧ 0.7) ∨ (0.7 ∧ 0.1) ∨ (0.6 ∧ 0.5)=∨ 0.5=0.5 of 0.2 ∨ 0.1;
S13=(0.2 ∧ 0.6) ∨ (0.7 ∧ 0.4) ∨ (0.6 ∧ 1)=∨ 0.6=0.6 of 0.2 ∨ 0.4;
S21=(1 ∧ 0.2) ∨ (0.1 ∧ 1) ∨ (0.4 ∧ 0.3)=∨ 0.3=0.3 of 0.2 ∨ 0.1;
S22=(1 ∧ 0.7) ∨ (0.1 ∧ 0.1) ∨ (0.4 ∧ 0.5)=∨ 0.4=0.7 of 0.7 ∨ 0.1;
S23=(1 ∧ 0.6) ∨ (0.1 ∧ 0.4) ∨ (0.4 ∧ 1)=∨ 0.4=0.6 of 0.6 ∨ 0.1;
S31=(0.3 ∧ 0.2) ∨ (0.5 ∧ 1) ∨ (1 ∧ 0.3)=∨ 0.3=0.5 of 0.2 ∨ 0.5;
S32=(0.3 ∧ 0.7) ∨ (0.5 ∧ 0.1) ∨ (1 ∧ 0.5)=∨ 0.5=0.5 of 0.3 ∨ 0.1;
S33=(0.3 ∧ 0.6) ∨ (0.5 ∧ 0.4) ∨ (1 ∧ 1)=∨ 1=1 of 0.3 ∨ 0.4;
Then
It should be noted that the process of fuzzy product and common matrix multiplication is identical, its distinctive points is:It will add Method is changed into taking maximum, and multiplication is changed into take minimum value.
Step 310, for fuzzy equivalent matrix RkIn element value, classification factor λ is determined, according to classification factor λ, in mould Electrokinetic cell is classified in paste equivalent matrice.
It is determined that after fuzzy similarity matrix, the element value in fuzzy equivalent matrix determines classification factor λ.True Determine after classification factor λ, the classification of electrokinetic cell is carried out according to classification factor λ.
Fuzzy equivalent matrix RkIn every a line or each column element characterize the corresponding element of an electrokinetic cell, obscure etc. Valency matrix is symmetrical matrix, and the corresponding element of the first row element corresponding with first row is identical, the corresponding element of the second row and the The corresponding element of two row is identical ..., and the corresponding element of Nth row element corresponding with Nth column is identical.
When the quantity of electrokinetic cell is 5, according to classification factor λ, electrokinetic cell is divided in fuzzy equivalent matrix The step of class, includes:
And a1﹥ a3﹥ a2﹥ a5﹥ a4In the state of;
As λ >=a1When, a will be less than1Element be set to 0, will be greater than or equal to a1Element be set to 1, determine each power Battery corresponds to a classification;
As λ >=a3When, a will be less than3Element be set to 0, will be greater than or equal to a3Element be set to 1, determine the first row and The corresponding electrokinetic cell of the third line is a class, and the corresponding electrokinetic cell of the second row, fourth line, fifth line is respectively a class;
As λ >=a2When, a will be less than2Element be set to 0, will be greater than or equal to a2Element be set to 1, determine the first row, Second row and the corresponding electrokinetic cell of the third line are a class, and the corresponding electrokinetic cell of fourth line, fifth line is respectively a class;
As λ >=a5When, a will be less than5Element be set to 0, will be greater than or equal to a5Element be set to 1, determine the first row, Second row, the third line and the corresponding electrokinetic cell of fifth line are a class, and the corresponding electrokinetic cell of fourth line is a class;
As λ >=a4When, a will be less than4Element be set to 0, will be greater than or equal to a4Element be set to 1, determine the first row, Second row, the third line, fourth line and the corresponding electrokinetic cell of fifth line are a class.
Specifically, carrying out the explanation of electrokinetic cell classification below with a specific application.
When, classified according to different λ.
In λ >=1:The element for being now less than 1 becomes 0, and the element more than or equal to 1 becomes 1, that is, has:
Fuzzy equivalent matrix RkIn every a line or each column element characterize the corresponding element of an electrokinetic cell, the present invention The differentiation of electrokinetic cell can be carried out in embodiment with the standard of behaviour, the differentiation of electrokinetic cell can also be carried out for benchmark with row.
When with the standard of behaviour, the arrangement of elements in the first row, the second row, the third line, fourth line, fifth line is different, Now each electrokinetic cell corresponds to a classification, now corresponding to be categorized as most thin classification.Five electrokinetic cells are divided into Five classes.Wherein the first row or first row correspond to the first electrokinetic cell, the second row or secondary series the second electrokinetic cell of correspondence, the Three rows or the 3rd row correspondence three-power electric pond, fourth line or the 4th row the 4th electrokinetic cell of correspondence, fifth line or the Five row the 5th electrokinetic cells of correspondence.
In λ >=0.7:The element for being now less than 0.7 becomes 0, and the element more than or equal to 0.7 becomes 1, that is, has:
When with the standard of behaviour, the first row is identical with the arrangement of elements in the third line, the first electrokinetic cell and the 3rd power The arrangement of elements that battery belongs in a classification, the second row, fourth line, fifth line is different, now the second row corresponding second Electrokinetic cell belongs to a classification, and corresponding 4th electrokinetic cell of fourth line belongs to a classification, and fifth line the corresponding 5th is moved Power battery belongs to a classification, and now five electrokinetic cells are divided into four classes.
In λ >=0.5:The element for being now less than 0.5 becomes 0, and the element more than or equal to 0.5 becomes 1, that is, has:
When with the standard of behaviour, the first row, the second row are identical with the arrangement of elements in the third line, the first electrokinetic cell, The arrangement of elements that two electrokinetic cells and three-power electric pond belong in a classification, fourth line, fifth line is different, fourth line pair The 4th electrokinetic cell answered belongs to a classification, and corresponding 5th electrokinetic cell of fifth line corresponds to a classification, now five Electrokinetic cell is divided into three classes.
In λ >=0.4:The element for being now less than 0.4 becomes 0, and the element more than or equal to 0.4 becomes 1, that is, has:
When with the standard of behaviour, the first row, the second row, the third line are identical with the arrangement of elements in fifth line, the first power Battery, the second electrokinetic cell, three-power electric pond and the 5th electrokinetic cell belong to a classification, fourth line element the corresponding 4th Electrokinetic cell corresponds to a classification, and now five electrokinetic cells are divided into two classes.
In λ >=0.3:The element for being now less than 0.3 becomes 0, and the element more than or equal to 0.3 becomes 1, that is, has:
When with the standard of behaviour, the first row, the second row, the third line, fourth line are identical with the arrangement of elements in fifth line, the One electrokinetic cell, the second electrokinetic cell, three-power electric pond, the 4th electrokinetic cell and the 5th electrokinetic cell belong to a classification, Now be categorized as most thick classification, five electrokinetic cells are divided into a class.
The embodiment of the present invention three, by obtain electrokinetic cell evaluating carry out data normalization pretreatment, and according to The pretreated evaluating of electrokinetic cell, sets up fuzzy similarity matrix;Fuzzy similarity matrix is converted into transitivity After fuzzy equivalent matrix;Electrokinetic cell is classified according to fuzzy equivalent matrix, each of electrokinetic cell can considered On the basis of evaluating, the evaluating paid close attention to according to electrokinetic cell in new opplication field carry out flexibly selection and Independent assortment, and the present invention to the historical data of battery core without be acquired, can be direct under the conditions of independent of priori theoretical Scientific classification rapidly is carried out to battery core, workload is relatively fewer, greatly improve and move back the sifting sort that fortune battery echelon is utilized Efficiency, while without using large-scale instrument and equipment, analysis cost is low.
It should be noted that the embodiment of the present invention is carrying out category filter using fuzzy clustering algorithm to moving back motoricity battery When, after carrying out data normalization pretreatment to battery core to be evaluated and parameter and setting up fuzzy similarity matrix, it can not also set up Fuzzy equivalent matrix.But fuzzy similarity matrix is directly used, pass through Boolean matrix method, Direct Cluster Analysis, Maximum Tree Method, netting Method etc. realizes the Cluster Assessment that electrokinetic cell is utilized to echelon.
And the embodiment of the present invention two, embodiment three are illustrated using the quantity of electrokinetic cell as five, wherein to one When criticizing electrokinetic cell progress category filter, the quantity of electrokinetic cell can be other quantity, can be with five power in classification The example that battery is classified is classified as template according to the sorting technique of template to a number of electrokinetic cell.
Wherein, when setting up fuzzy similarity matrix, corresponding method includes Similar operator and Furthest Neighbor, and the present invention is real It is to be Similar operator employed in euclidean distance method in Furthest Neighbor, the embodiment of the present invention three to apply employed in example two Quantity area method.Also include other methods in certain Similar operator, for example:Cosin method, correlation coefficient process, index phase Like Y-factor method Y, minimax method, the minimum method of arithmetic mean, the minimum method of geometric average etc.;Also include absolute value in Furthest Neighbor reciprocal Method, absolute exponent method, direct range method (Hamming distances, Chebyshev's distance) etc..No longer illustrate one by one herein, this area skill Art personnel can determine corresponding method according to the demand of itself.
In summary, it is ladder in order to which the attribute to electrokinetic cell makes the more comprehensive confidence level evaluated, improve evaluation The screening of secondary utilization electrokinetic cell provides the foundation of more science, improves the reliability used after combo.The present invention is to battery Attribute can consider electrokinetic cell parameters and carry out overall merit to moving back fortune battery attributes when being evaluated, the present invention exists The upper flexibility of electrokinetic cell parameter selection is strong, also can transport the parameter progress spirit that battery is paid close attention in new opplication field according to moving back Selection living and independent assortment.The Fuzzy Cluster Analysis method that the present invention is applied is under the conditions of independent of priori theoretical, Neng Gouzhi Connect and scientific classification rapidly is carried out to retired rear battery core, workload is relatively fewer, greatly improve and move back what fortune battery echelon was utilized Sifting sort efficiency.
Example IV
The embodiment of the present invention provides a kind of sorter of electrokinetic cell, as shown in figure 4, including:
Acquisition module 10, the evaluating for obtaining multiple electrokinetic cells;
Processing module 20, carries out data normalization pretreatment for the evaluating to electrokinetic cell, obtains after pretreatment Evaluating;According to the pretreated evaluating of each electrokinetic cell, fuzzy similarity matrix is set up;By fuzzy similarity matrix It is converted into the fuzzy equivalent matrix with transitivity;
Sort module 30, for being classified according to fuzzy equivalent matrix to electrokinetic cell.
Wherein, acquisition module 10 includes:
Acquisition submodule 11, the evaluating class of interest for obtaining field to be applied belonging to multiple electrokinetic cells Type;
Submodule 12 is screened, in the parameter database of electrokinetic cell, filtering out the corresponding ginseng of evaluating type Numerical value as electrokinetic cell evaluating.
Wherein processing module 20 includes:
Submodule 21 is converted, for interval according to the standard storage pre-set, to each evaluating of electrokinetic cell Carry out order of magnitude conversion processing;
Sub-module stored 22, for the evaluating after order of magnitude conversion processing to be stored into interval to standard storage It is interior, obtain pretreated evaluating.
Wherein, processing module 20 includes:
First determination sub-module 23, the quantity for obtaining electrokinetic cell, and it is fuzzy according to the determination of the quantity of electrokinetic cell The exponent number of similar matrix;
Second determination sub-module 24, for determining that the element on fuzzy similarity matrix leading diagonal is 1;
3rd determination sub-module 25, for according to the pretreated evaluating of each electrokinetic cell, being calculated using distance Formula determines each element on the non-leading diagonal in fuzzy similarity matrix;By each element on the non-leading diagonal of determination Correspondence position is placed in, fuzzy similarity matrix is formed.
Wherein, the 3rd determination sub-module 25 includes:
First determining unit 251, for for each electrokinetic cell, according to the pretreated evaluating of the electrokinetic cell Determine a vector;
Computing unit 252, for calculating the corresponding vector of electrokinetic cell vector corresponding with other each electrokinetic cells The distance between, obtained distance value is multiplied with the first predetermined coefficient and obtains the first distance value;
Second determining unit 253, for determining that the difference of 1 and each the first distance value is the element on non-leading diagonal.
Wherein, processing module 20 includes:
4th determination sub-module 26, obtains the quantity of electrokinetic cell, and fuzzy similar according to the determination of the quantity of electrokinetic cell Order of matrix number;
5th determination sub-module 27, it is 1 to determine the element on fuzzy similarity matrix leading diagonal;
6th determination sub-module 28, for any two electrokinetic cell, calculate corresponding pretreated evaluating it Between product, and product addition is obtained and is worth, the first reference value will be used as with value and the ratio of the second predetermined coefficient;
7th determination sub-module 29, the correspondence position that each first reference value is placed on non-leading diagonal forms fuzzy phase Like matrix;
Wherein, when the first reference value is negative value, it is the second reference value to determine the 1/2 of the first reference value and 1 sum, by the The span for the element that two reference values are placed on corresponding position, non-leading diagonal is between 0~1.
Wherein, processing module 20 is further used for:
Fuzzy product computing is carried out to fuzzy similarity matrix R using following formula;
(k=2m, E=2m+1, m=0,1,2,3 ...);Work as RkWith REWhen equal, R is determinedkFor with obscuring The corresponding fuzzy equivalent matrixs with transitivity of similar matrix R.
Wherein, sort module 30 includes:
8th determination sub-module 31, for for fuzzy equivalent matrix RkIn element value, determine classification factor λ;
Classification submodule 32, for according to classification factor λ, classifying in fuzzy equivalent matrix to electrokinetic cell.
Wherein, fuzzy equivalent matrix RkIn every a line or each column element characterize the corresponding element of an electrokinetic cell, When the quantity of electrokinetic cell is 5, classification submodule 32 is further used for:
And a1﹥ a3﹥ a2﹥ a5﹥ a4In the state of;
As λ >=a1When, a will be less than1Element be set to 0, will be greater than or equal to a1Element be set to 1, determine each power Battery corresponds to a classification;
As λ >=a3When, a will be less than3Element be set to 0, will be greater than or equal to a3Element be set to 1, determine the first row and The corresponding electrokinetic cell of the third line is a class, and the corresponding electrokinetic cell of the second row, fourth line, fifth line is respectively a class;
As λ >=a2When, a will be less than2Element be set to 0, will be greater than or equal to a2Element be set to 1, determine the first row, Second row and the corresponding electrokinetic cell of the third line are a class, and the corresponding electrokinetic cell of fourth line, fifth line is respectively a class;
As λ >=a5When, a will be less than5Element be set to 0, will be greater than or equal to a5Element be set to 1, determine the first row, Second row, the third line and the corresponding electrokinetic cell of fifth line are a class, and the corresponding electrokinetic cell of fourth line is a class;
As λ >=a4When, a will be less than4Element be set to 0, will be greater than or equal to a4Element be set to 1, determine the first row, Second row, the third line, fourth line and the corresponding electrokinetic cell of fifth line are a class.
The embodiment of the present invention four, can be on the basis of every evaluating of electrokinetic cell be considered, according to power The evaluating that battery is paid close attention in new opplication field carries out flexibly selection and independent assortment, and the sorting technique of the present invention It is acquired, under the conditions of independent of priori theoretical, directly and quickly battery core can be carried out without the historical data to battery core Scientific classification, workload is relatively fewer, greatly improves and moves back the sifting sort efficiency that fortune battery echelon is utilized, while without using Large-scale instrument and equipment, analysis cost is low.
Above-described is the preferred embodiment of the present invention, it should be pointed out that come for the ordinary person of the art Say, some improvements and modifications can also be made under the premise of principle of the present invention is not departed from, and these improvements and modifications also exist In protection scope of the present invention.

Claims (10)

1. a kind of sorting technique of electrokinetic cell, it is characterised in that including:
Obtain the evaluating of multiple electrokinetic cells;
Data normalization pretreatment is carried out to the evaluating of the electrokinetic cell, pretreated evaluating is obtained;
According to the pretreated evaluating of each electrokinetic cell, fuzzy similarity matrix is set up;
The fuzzy similarity matrix is converted into the fuzzy equivalent matrix with transitivity;
The electrokinetic cell is classified according to the fuzzy equivalent matrix.
2. sorting technique according to claim 1, it is characterised in that the evaluating of the multiple electrokinetic cells of acquisition Step includes:
Obtain field to be applied belonging to multiple electrokinetic cells evaluating type of interest;
In the parameter database of the electrokinetic cell, the corresponding parameter value of the evaluating type is filtered out as described dynamic The evaluating of power battery.
3. sorting technique according to claim 1, it is characterised in that data are carried out to the evaluating of the electrokinetic cell Standardization pretreatment, the step of obtaining pretreated evaluating includes:
It is interval according to the standard storage pre-set, each evaluating of the electrokinetic cell is carried out at order of magnitude conversion Reason;
The evaluating after order of magnitude conversion processing is stored interval interior to the standard storage, obtained after pretreatment Evaluating.
4. sorting technique according to claim 1, it is characterised in that described to be commented according to each electrokinetic cell is pretreated Valency parameter, the step of setting up fuzzy similarity matrix includes:
The quantity of the electrokinetic cell is obtained, and determines according to the quantity of the electrokinetic cell rank of the fuzzy similarity matrix Number;
It is 1 to determine the element on the fuzzy similarity matrix leading diagonal;
According to the pretreated evaluating of each electrokinetic cell, determined using apart from calculation formula in the fuzzy similarity matrix Non- leading diagonal on each element;
Each element on the non-leading diagonal of determination is placed in correspondence position, the fuzzy similarity matrix is formed.
5. sorting technique according to claim 4, it is characterised in that joined according to pretreated evaluate of each electrokinetic cell Number, includes using the step of determining each element in the fuzzy similarity matrix on non-leading diagonal apart from calculation formula:
For each electrokinetic cell, a vector is determined according to the pretreated evaluating of the electrokinetic cell;
Calculate the distance between the corresponding vector of electrokinetic cell vector corresponding with other each electrokinetic cells, will obtain away from It is multiplied from value with the first predetermined coefficient and obtains the first distance value;
Determine 1 and the difference of each first distance value be the element on non-leading diagonal.
6. sorting technique according to claim 1, it is characterised in that described to be commented according to each electrokinetic cell is pretreated Valency parameter, the step of setting up fuzzy similarity matrix includes:
The quantity of the electrokinetic cell is obtained, and determines according to the quantity of the electrokinetic cell rank of the fuzzy similarity matrix Number;
It is 1 to determine the element on the fuzzy similarity matrix leading diagonal;
For any two electrokinetic cell, the product between corresponding pretreated evaluating is calculated, and to the product Addition is obtained and is worth, and regard described and value and the second predetermined coefficient ratio as the first reference value;
The correspondence position that each described first reference value is placed on non-leading diagonal forms the fuzzy similarity matrix;
Wherein, when first reference value is negative value, it is the second reference value with the 1/2 of 1 sum to determine first reference value, The span for the element that second reference value is placed on corresponding position, non-leading diagonal is between 0~1.
7. sorting technique according to claim 1, it is characterised in that described be converted into the fuzzy similarity matrix has The step of fuzzy equivalent matrix of transitivity, includes:
Fuzzy product computing is carried out to the fuzzy similarity matrix R using following formula;
Work as RkWith REWhen equal, R is determinedkFor the fuzzy equivalent matrix with transitivity corresponding with the fuzzy similarity matrix R.
8. sorting technique according to claim 7, it is characterised in that it is described according to the fuzzy equivalent matrix to power electric The step of pond is classified includes:
For the fuzzy equivalent matrix RkIn element value, determine classification factor λ;
According to the classification factor λ, the electrokinetic cell is classified in the fuzzy equivalent matrix.
9. sorting technique according to claim 8, it is characterised in that the fuzzy equivalent matrix RkIn every a line or Each column element characterizes the corresponding element of an electrokinetic cell, described according to the classification when the quantity of the electrokinetic cell is 5 Coefficient lambda, the step of classifying in the fuzzy equivalent matrix to the electrokinetic cell includes:
And a1﹥ a3﹥ a2﹥ a5﹥ a4In the state of;
As λ >=a1When, a will be less than1Element be set to 0, will be greater than or equal to a1Element be set to 1, determine each electrokinetic cell Corresponding to a classification;
As λ >=a3When, a will be less than3Element be set to 0, will be greater than or equal to a3Element be set to 1, determine the first row and the 3rd The corresponding electrokinetic cell of row is a class, and the corresponding electrokinetic cell of the second row, fourth line, fifth line is respectively a class;
As λ >=a2When, a will be less than2Element be set to 0, will be greater than or equal to a2Element be set to 1, determine the first row, second Row electrokinetic cell corresponding with the third line is a class, and the corresponding electrokinetic cell of fourth line, fifth line is respectively a class;
As λ >=a5When, a will be less than5Element be set to 0, will be greater than or equal to a5Element be set to 1, determine the first row, second Row, the third line and the corresponding electrokinetic cell of fifth line are a class, and the corresponding electrokinetic cell of fourth line is a class;
As λ >=a4When, a will be less than4Element be set to 0, will be greater than or equal to a4Element be set to 1, determine the first row, second Row, the third line, fourth line and the corresponding electrokinetic cell of fifth line are a class.
10. a kind of sorter of electrokinetic cell, it is characterised in that including:
Acquisition module, the evaluating for obtaining multiple electrokinetic cells;
Processing module, carries out data normalization pretreatment for the evaluating to the electrokinetic cell, obtains pretreated Evaluating;According to the pretreated evaluating of each electrokinetic cell, fuzzy similarity matrix is set up;Similar square is obscured by described Battle array is converted into the fuzzy equivalent matrix with transitivity;
Sort module, for being classified according to the fuzzy equivalent matrix to the electrokinetic cell.
CN201710196053.9A 2017-03-29 2017-03-29 The sorting technique and device of a kind of electrokinetic cell Pending CN107008671A (en)

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