CN110434093A - A kind of lithium-ions battery batch screening technique - Google Patents
A kind of lithium-ions battery batch screening technique Download PDFInfo
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- CN110434093A CN110434093A CN201910617232.4A CN201910617232A CN110434093A CN 110434093 A CN110434093 A CN 110434093A CN 201910617232 A CN201910617232 A CN 201910617232A CN 110434093 A CN110434093 A CN 110434093A
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- ions battery
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting 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
- B07C5/34—Sorting according to other particular properties
- B07C5/344—Sorting according to other particular properties according to electric or electromagnetic properties
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
Abstract
A kind of lithium-ions battery batch screening technique, comprising the following steps: multiple performance parameter tests are successively carried out to the lithium-ions battery monomer that same batch produces；It rejects performance parameter and is unsatisfactory for desired substandard product；Successively count the quantity N of remaining lithium-ions battery1With every lithium-ions battery performance parameter；Certain performance parameter of lithium-ions battery is successively statisticallyd analyze with the i.e. 3 δ criterion of Pauta criterion, and rejects the lithium-ions battery that the performance parameter is greater than 3 δ, and statistic property parameter is greater than the lithium-ions battery quantity n of 3 δ1；Calculate n1With N1Percentage k1If k1> a, then it is assumed that whole batch products existing defects, sentence it is secondary unqualified by the gross, if k1≤ a then carries out next performance parameter differentiation；Calculate X n1The sum of and N1Percentage kXIf kx > f, then it is assumed that whole batch products existing defects, sentence it is secondary unqualified by the gross, if kx≤f, screening after product enter matching and dress group.
Description
Technical field
The present invention relates to lithium-ions battery manufacturing technology fields, in particular to a kind of lithium-ions battery batch screening side
Method.
Background technique
Lithium-ions battery is high with discharge voltage, self-discharge rate is low, efficiency for charge-discharge is high, specific energy is big, cycle life
The features such as long, it has also become the main power source of all trades and professions such as power vehicle, aerospace, military communication, however lithium ion electric power storage
Pond is due to its energy density height, once safety accident occurs, it will the bringing on a disaster property such as personnel, vehicle or equipment are endangered, because
This is to exclude have performance and safety defect battery, to guarantee by sufficiently correct and effective test and screening technique
The important means that lithium-ions battery securely and reliably uses.
It is to lithium-ions battery screening at present more be confined to the several specific performance indexs of single battery some or certain into
The index parameter of row evaluation and screening, evaluation and screening is more single, and efficiency is relatively low, can not find it is some there may be
Latent defect, therefore, industry needs a kind of lithium-ions battery batch screening technique, solves existing screening poor efficiency, has
Defect problem.
Summary of the invention
In response to the problems existing in the prior art, the purpose of the present invention is to provide a kind of lithium-ions battery batch screening sides
Method, in order to achieve the above objectives, the present invention adopt the following technical scheme that:
A kind of lithium-ions battery batch screening technique, comprising the following steps:
Step 1 successively carries out multiple performance parameter tests to the lithium-ions battery monomer that same batch produces；
Step 2 rejects the substandard product that performance parameter is unsatisfactory for requirement；
Step 3, the quantity N for successively counting remaining lithium-ions battery1With every lithium-ions battery performance parameter；
Step 4, certain performance parameter that lithium-ions battery is successively statisticallyd analyze with the i.e. 3 δ criterion of Pauta criterion, and pick
Except the performance parameter is greater than the lithium-ions battery of 3 δ, statistic property parameter is greater than the lithium-ions battery quantity n of 3 δ1；
Step 5 calculates n1With N1Percentage k1If k1> a, then it is assumed that whole batch products existing defects, sentence by the gross it is secondary not
Qualification, if k1≤ a then carries out next performance parameter differentiation and enters step S3；
Step 6 calculates X n1The sum of and N1Percentage kXIf kx > f, then it is assumed that whole batch products existing defects are sentenced whole
Batch is unqualified, if kx≤f, the product after screening enters matching and dress group, according to the quantity N of lithium-ions battery1It is more
It is few, set f value range.
Compared with prior art, a kind of lithium-ions battery batch screening technique that the present invention opens, can be from big batch
It on this macroscopic perspective, is evaluated by Mathematical Statistics Analysis means, while to multiple performance parameters, Lai Faxian lithium ion stores
On the one hand some potential defects in battery batch production can improve screening efficiency, on the other hand reduce product defects, discovery one
A little batch hidden danger of quality, enhance product performance, and have important practice significance.
Detailed description of the invention
Invention is described further with reference to the accompanying drawing:
Fig. 1 is a kind of lithium-ions battery batch screening process figure.
Specific embodiment
Below in conjunction with the drawings and specific embodiments to a kind of lithium-ions battery batch screening technique work proposed by the present invention
It is further described.The method of the present invention includes the following steps:
Step 1 to same batch production lithium-ions battery monomer successively carry out quality, capacity, spray charging precipitator, in direct current
Resistance, AC internal Resistance performance parameter test.
Step 2 rejects performance parameter and is unsatisfactory for desired substandard product.
Step 3 counts the quantity (N of remaining lithium-ions battery1) and every lithium-ions battery mass parameter；
Step 4 statisticallys analyze the mass parameter of lithium-ions battery with Pauta criterion (i.e. 3 δ criterion), and rejects quality
Parameter is greater than the lithium-ions battery of 3 δ, and statistical quality parameter is greater than the lithium-ions battery quantity (n of 3 δ1)；
Step 5 calculates n1With N1Percentage k1If k1> 2%, then it is assumed that whole batch products existing defects are sentenced secondary by the gross
It is unqualified, if k1≤ 2%, then carry out volumetric properties parameter differentiation.
Step 6, the quantity (N for counting remaining lithium-ions battery2) and every lithium-ion battery capacity parameter；
Step 7, the capacity parameter that lithium-ions battery is statisticallyd analyze with Pauta criterion (i.e. 3 δ criterion), and reject capacity
Parameter is greater than the lithium-ions battery of 3 δ, and statistics capacity parameter is greater than the lithium-ions battery quantity (n of 3 δ2)。
Step 8 calculates n2With N2Percentage k2If k2> 4%, then it is assumed that whole batch products existing defects are sentenced secondary by the gross
It is unqualified, if k1≤ 4%, then carry out spray charging precipitator performance parameter differentiation.
Step 9, the quantity (N for counting remaining lithium-ions battery3) and every lithium-ions battery spray charging precipitator parameter.
Step 10, the spray charging precipitator parameter that lithium-ions battery is statisticallyd analyze with Pauta criterion (i.e. 3 δ criterion), and
The lithium-ions battery that spray charging precipitator parameter is greater than 3 δ is rejected, statistics spray charging precipitator parameter is greater than the lithium-ions battery of 3 δ
Quantity (n3)。
Step 11 calculates n3With N3Percentage k3If k3> 1%, then it is assumed that whole batch products existing defects are sentenced secondary by the gross
It is unqualified, if k1≤ 1%, then carry out DC internal resistance performance parameter differentiation.
Step 12, the quantity (N for counting remaining lithium-ions battery4) and every lithium-ions battery DC internal resistance parameter.
Step 13, the DC internal resistance parameter that lithium-ions battery is statisticallyd analyze with Pauta criterion (i.e. 3 δ criterion), and pick
Except DC internal resistance parameter is greater than the lithium-ions battery of 3 δ, statistics DC internal resistance parameter is greater than the lithium-ions battery quantity of 3 δ
(n4)。
Step 14 calculates n4With N4Percentage k4If k4> 7%, then it is assumed that whole batch products existing defects are sentenced secondary by the gross
It is unqualified, if k4≤ 7%, then carry out AC internal Resistance performance parameter differentiation.
Step 15, the quantity (N for counting remaining lithium-ions battery5) and every lithium-ions battery AC internal Resistance parameter.
Step 16, the AC internal Resistance parameter that lithium-ions battery is statisticallyd analyze with Pauta criterion (i.e. 3 δ criterion), and pick
Except DC internal resistance parameter is greater than the lithium-ions battery of 3 δ, statistics AC internal Resistance parameter is greater than the lithium-ions battery quantity of 3 δ
(n5)。
Step 16 calculates n5With N5Percentage k5If k5> 7%, then it is assumed that whole batch products existing defects are sentenced secondary by the gross
It is unqualified, if k4≤ 7%, into next step.
S18, n is calculated1、n2、n3、n4、n5The sum of and N1Percentage k6If k6> 15%, then it is assumed that whole batch products exist
Defect, sentence it is secondary unqualified by the gross, if k6≤ 15%, then the product after screening enters matching and dress group.
Obviously, those skilled in the art can carry out various changes and deformation without departing from essence of the invention to the present invention
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (8)
1. a kind of lithium-ions battery batch screening technique, which comprises the following steps:
Step 1 successively carries out multiple performance parameter tests to the lithium-ions battery monomer that same batch produces；
Step 2 rejects the substandard product that performance parameter is unsatisfactory for requirement；
Step 3, the quantity N for successively counting remaining lithium-ions battery1With every lithium-ions battery performance parameter；
Step 4, certain performance parameter that lithium-ions battery is successively statisticallyd analyze with the i.e. 3 δ criterion of Pauta criterion, and rejecting should
Performance parameter is greater than the lithium-ions battery of 3 δ, and statistic property parameter is greater than the lithium-ions battery quantity n of 3 δ1；
Step 5 calculates n1With N1Percentage k1If k1> a, then it is assumed that whole batch products existing defects, sentence it is secondary unqualified by the gross,
If k1≤ a then carries out next performance parameter differentiation and enters step S3；
Step 6 calculates X n1The sum of and N1Percentage kXIf kx > f, then it is assumed that whole batch products existing defects are sentenced secondary by the gross
Unqualified, if kx≤f, the product after screening enters matching and dress group, according to the quantity N of lithium-ions battery1How much, if
Determine f value range.
2. a kind of lithium-ions battery batch screening technique as described in claim 1, which comprises the following steps:
S1, quality, capacity, spray charging precipitator, DC internal resistance, friendship are successively carried out to the lithium-ions battery monomer that same batch produces
Flow internal resistance performance parameter test；
S2, the substandard product that performance parameter is unsatisfactory for requirement is rejected；
S3, the quantity N for counting remaining lithium-ions battery1With every lithium-ions battery mass parameter；
S4, the mass parameter that lithium-ions battery is statisticallyd analyze with the i.e. 3 δ criterion of Pauta criterion, and mass parameter is rejected greater than 3
The lithium-ions battery of δ, statistical quality parameter are greater than the lithium-ions battery quantity n of 3 δ1；
S5, n is calculated1With N1Percentage k1If k1> a, then it is assumed that whole batch products existing defects, sentence it is secondary unqualified by the gross, if
k1≤ a then carries out the differentiation of volumetric properties parameter and enters step S6；
S6, the quantity N for counting remaining lithium-ions battery2With every lithium-ion battery capacity parameter；
S7, with Pauta criterion statistical analysis lithium-ions battery capacity parameter, and reject capacity parameter greater than 3 δ lithium from
Sub- battery, statistics capacity parameter are greater than the lithium-ions battery quantity n of 3 δ2；
S8, n is calculated2With N2Percentage k2If k2> b, then it is assumed that whole batch products existing defects, sentence it is secondary unqualified by the gross, if
k1≤ b then carries out the differentiation of spray charging precipitator performance parameter and enters step S9；
S9, the quantity N for counting remaining lithium-ions battery3With every lithium-ions battery spray charging precipitator parameter；
S10, the spray charging precipitator parameter that lithium-ions battery is statisticallyd analyze with Pauta criterion, and reject spray charging precipitator parameter
Greater than the lithium-ions battery of 3 δ, the lithium-ions battery quantity n that spray charging precipitator parameter is greater than 3 δ is counted3；
S11, n is calculated3With N3Percentage k3If k3> c, then it is assumed that whole batch products existing defects, sentence it is secondary unqualified by the gross, such as
Fruit k1≤ c then carries out the differentiation of DC internal resistance performance parameter and enters step S12；
S12, the quantity N for counting remaining lithium-ions battery4With every lithium-ions battery DC internal resistance parameter；
S13, the DC internal resistance parameter that lithium-ions battery is statisticallyd analyze with Pauta criterion, and reject DC internal resistance parameter and be greater than
The lithium-ions battery of 3 δ, statistics DC internal resistance parameter are greater than the lithium-ions battery quantity n of 3 δ4；
S14, n is calculated4With N4Percentage k4If k4> d, then it is assumed that whole batch products existing defects, sentence it is secondary unqualified by the gross, such as
Fruit k4≤ d then carries out the differentiation of AC internal Resistance performance parameter and enters step S15；
S15, the quantity N for counting remaining lithium-ions battery5With every lithium-ions battery AC internal Resistance parameter；
S16, the AC internal Resistance parameter that lithium-ions battery is statisticallyd analyze with Pauta criterion, and reject DC internal resistance parameter and be greater than
The lithium-ions battery of 3 δ, statistics AC internal Resistance parameter are greater than the lithium-ions battery quantity n of 3 δ5；
S17, n is calculated5With N5Percentage k5If k5> e, then it is assumed that whole batch products existing defects, sentence it is secondary unqualified by the gross, such as
Fruit k4≤ e, enters step S18；
S18, n is calculated1、n2、n3、n4、n5The sum of and N1Percentage k6If k6> f, then it is assumed that whole batch products existing defects are sentenced
It is secondary unqualified by the gross, if k6≤ f, the then product after screening enter matching and dress group.
3. a kind of lithium-ions battery batch screening technique as claimed in claim 2, which is characterized in that in the S5, according to
The quantity N of lithium-ions battery1How much, a value is between 0~3%, N1It is required that no less than 500.
4. a kind of lithium-ions battery batch screening technique as claimed in claim 3, which is characterized in that in the S8, according to
The quantity N of lithium-ions battery2How much, b value is between 0~5%.
5. a kind of lithium-ions battery batch screening technique as claimed in claim 4, which is characterized in that in the S11, according to
The quantity N of lithium-ions battery3How much, c value is between 0~1%.
6. a kind of lithium-ions battery batch screening technique as claimed in claim 5, which is characterized in that in the S14, according to
The quantity N of lithium-ions battery4How much, d value is between 0~8%.
7. a kind of lithium-ions battery batch screening technique as claimed in claim 6, which is characterized in that in the S17, according to
The quantity N of lithium-ions battery5How much, e value is between 0~8%.
8. a kind of lithium-ions battery batch screening technique as claimed in claim 7, which is characterized in that in the S18, according to
The quantity N of lithium-ions battery1How much, f value is between 0~15%.
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Cited By (1)
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| CN113118055A (en) * | 2021-03-31 | 2021-07-16 | 深圳市磐锋精密技术有限公司 | Product detecting and sorting system based on big data |
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