CN102394315A - Cell characteristic vector based lithium ion cell configuration method - Google Patents
Cell characteristic vector based lithium ion cell configuration method Download PDFInfo
- Publication number
- CN102394315A CN102394315A CN201110367124XA CN201110367124A CN102394315A CN 102394315 A CN102394315 A CN 102394315A CN 201110367124X A CN201110367124X A CN 201110367124XA CN 201110367124 A CN201110367124 A CN 201110367124A CN 102394315 A CN102394315 A CN 102394315A
- Authority
- CN
- China
- Prior art keywords
- lithium ion
- battery
- ion battery
- voltage
- combo
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
- Y02P70/50—Manufacturing or production processes characterised by the final manufactured product
Abstract
The invention discloses a cell characteristic vector based lithium ion cell configuration method, which comprises the following steps of: carrying out one-time 0.2C discharge on cells to be configured, followed by 2C charge and discharge, finally standing for a while, recording the 2C discharge capacity C0.5, the ratio CI of constant voltage capacity to constant current capacity during the 2C charge, the ratio V0 of recovery voltage to discharge lower limit voltage after the final step of standing, and the correlation coefficient rYS of the characteristic vector formed by the 2C constant current charge and 2C constant current discharge voltage values of the cells and the standard characteristic vector, determining an appropriate grading numerical range for grading according to the C0.5, CI, V0 and Rys, and configuring individual cells within the specified range. The method provided by the invention is used to fully present the difference between cells and screen out cells with similar consistency for assembling and usage, thus raising the performance of battery packs.
Description
Technical field
The present invention relates to the lithium ion battery combo, particularly a kind of lithium ion battery grouping method based on the battery characteristics vector.
Background technology
Along with the development of society, the application of lithium ion battery also more and more widely.In actual applications, often need tens of even hundreds of cells are fitted together by polyphone or parallel connection, to satisfy the demand of high voltage high power capacity.On the theory; Inconsistency between the cell is an absolute being; So in practical application, must through the combo Policy Filtering go out consistency relatively preferably cell carry out combo, assembling, just might make the overall performance of battery pack reach gratifying degree.
The method for group matching that generally adopts at present is: according to the capacity behind the cell partial volume, internal resistance, voltage, self discharge or the like, draft the parameter area of each group, in same scope, be classified as one grade, same shelves then can assemble use.The defective of this method is that these combo parameters can not fully reflect the difference between the battery, and after causing assembling use, the overall performance performance of battery pack is relatively poor.
Summary of the invention
To the deficiency that exists in the prior art; The object of the present invention is to provide a kind of lithium ion battery grouping method based on the battery characteristics vector that can fully reflect difference between the battery; After making that the battery assembling is used, the overall performance of battery pack is brought into play better.
Technical scheme of the present invention is achieved in that a kind of lithium ion battery grouping method based on the battery characteristics vector, comprises the steps:
(1) lithium ion battery that will treat combo discharges and recharges detection, and testing process is set to:
(1.1) with the electric current constant-current discharge of 0.2C to lower voltage limit,
(1.2) leave standstill 10~30 minutes,
(1.3) with the supreme pressure of rationing the power supply of the electric current constant current charge of 2C,
(1.4) charge to upper voltage limit after, constant voltage charge to electric current is less than 0.02C,
(1.5) leave standstill 10~30 minutes,
(1.6) with the electric current constant-current discharge of 2C to lower voltage limit,
(1.7) leave standstill 120~240 minutes;
(2) (1.3) step of record charging capacity C1 and (1.4) goes on foot charging capacity C2, calculates the ratio C I=C2/C1 of the two;
(3) (1.6) step of record discharge capacity C
0.5
(4) magnitude of voltage V1 after record (1.7) the step completion calculates the V0=V1/ lower voltage limit;
The voltage data in (5) collection (1.3), (1.6) step that is: is captured in the time interval T, waits the numerical value of lithium ion battery voltage that divides into groups, and is arranged in chronological order together, forms a vectorial Y (y
1, y
2... Y
n), the battery characteristics that is the monomer lithium ion battery of treating combo is vectorial; Each treats that the voltage data of combo lithium ion battery counts should be one by one correspondingly, promptly is synchronous on time shaft; According to formula (I), the similitude of counting cell characteristic vector and standard feature vector:
Wherein, y
iExpression wait the to divide into groups i dimension of lithium ion battery characteristics vector, i.e. i data points, n representes the dimension of vector, the i.e. number of cell voltage data point;
Represent to wait to divide into groups the vectorial mean value of lithium ion battery characteristics; s
iThe i dimension of expression standard feature vector,
The mean value of expression standard feature vector; r
YSBattery characteristics vector and the coefficient correlation between the standard feature vector of the lithium ion battery of combo treated in expression; Need to prove: standard feature vector S (s
1, s
2... S
n) confirm according to creation data; Concrete confirm that method is following: in the lithium ion battery of same steady production batch; 500 lithium ion batteries of picked at random are gathered first " standard cell " voltage data in the 1.3rd, 1.6 steps as " standard cell " according to above-mentioned steps 1.1~1.7, are captured in the numerical value of first " standard cell " voltage in the time interval T that is:; And be arranged in chronological order together, form the vector of first " standard cell "
Be the battery characteristics vector of first " standard cell "; All the other " standard cells " are gathered after the same method, thereby obtain the battery characteristics vector of every " standard cell "
" i " expression i is " standard cell " only; The voltage data of 500 standard cells is counted should be corresponding one by one, promptly is synchronous on time shaft; Standard feature vector S (s
1, s
2... S
n) in
In addition, " standard cell " number of elements of picked at random is The more the better, can make standard feature vector S (s like this
1, s
2... S
n) more accurate; If " standard cell " of picked at random is less than 100, standard feature vector S (s then
1, s
2... S
n) accuracy just poor, generally answer the batch process lithium ion battery of picked at random more than 100 as " standard cell ".
(6) according to C
0.5, CI, V0, r
YSValue is carried out stepping by the stepping number range, remaining combo lithium ion battery is sorted out, parameters all same stepping number range be one grade, the battery of same class then can combo uses.The stepping number range is the artificial number range of confirming, those skilled in the art can confirm according to actual needs, are that those skilled in the art can freely select; Use as long as guarantee the battery combo of same class, just can realize " the battery assembling uses the overall performance of back battery pack to be brought into play better ", the concrete numerical value of above-mentioned stepping number range does not influence the realization of the goal of the invention of the invention.
Above-mentioned lithium ion battery grouping method based on the battery characteristics vector, said lower voltage limit is 2.7V~3.0V for lithium manganate battery, ternary material battery or cobalt acid lithium battery; Said lower voltage limit is 2.0V~2.3V for ferric phosphate lithium cell.
Above-mentioned lithium ion battery grouping method based on the battery characteristics vector, said upper voltage limit is 4.1V~4.25V for lithium manganate battery, ternary material battery or cobalt acid lithium battery; Said upper voltage limit is 3.5~3.9V for ferric phosphate lithium cell.
Above-mentioned lithium ion battery grouping method based on the battery characteristics vector; Time interval T in (5) step is smaller or equal to 60S; Data collection point is more than or equal to 300; (1.3) data collection point equates that with (1.6) step data collection point quantity that is: (1.3) data collection point is more than or equal to 150, and (1.6) step data collection point is more than or equal to 150.
Above-mentioned lithium ion battery grouping method based on battery characteristics vector, the voltage data collection of each lithium ion battery of waiting to divide into groups is counted identical.
Above-mentioned lithium ion battery grouping method based on battery characteristics vector, the voltage data of each lithium ion battery of waiting to divide into groups o'clock according to the test in (1.3), (1.6) step successively is arranged in together in chronological order.
Above institute all carries out on lithium ion battery partial volume equipment in steps, data extract, analyze, be sorted on the corresponding DAS of tester on carry out.
The invention has the beneficial effects as follows: (1) the present invention is through CI value, C
0.5Value, V0 value, r
YSThe combo of value; The overall performance situation that can fully reflect cell capacity, internal polarization and battery charging and discharging; Fully characterized the difference between the battery, filtered out the close battery of consistency and assemble use, avoided the deficiency of general method for separating the sign ability of battery consistency; Improve the combo quality, made the performance of battery pack be improved.(2) combo required time of the present invention is short, the method for separating operation is directly perceived, simple, be easy to programming operations, is convenient to suitability for industrialized production.
Description of drawings
Fig. 1 is the (charging: CC, 5000mA constant current charge, cut-ff voltage 42V of battery pack loop test curve in the embodiment of the invention 1; CV, 42V constant voltage charge, cut-off current 200mA.Discharge: 5000mA constant-current discharge, cut-ff voltage 27V.Temperature: room temperature).
Embodiment
Present embodiment is chosen the IMP1865130 battery (nominal capacity 10Ah) that our company produces based on the lithium ion battery grouping method of battery characteristics vector, and production batch is 20110706; It comprises the steps:
1, the lithium ion battery that will treat combo is placed on the lithium ion battery program control test equipment and discharges and recharges detection, and testing process is set to:
1.1, constant-current discharge: constant current 2A, cut-ff voltage 2.7V,
1.2, leave standstill: time of repose 30 minutes,
1.3, constant current charge: constant current 20A, cut-ff voltage 4.2V,
1.4, constant voltage charge: constant voltage 4.2V, cut-off current 200mA,
1.5, leave standstill: time of repose 30 minutes,
1.6, constant-current discharge: constant current 20A, cut-ff voltage 2.7V,
1.7, leave standstill: time of repose 240 minutes;
2, the 1.3rd step of acquisition and recording constant current charge capacity C 1, the 1.4 goes on foot charging capacity C2 in corresponding testing software, calculates the ratio C I=C2/C1 of the two;
3, the 1.6th step of record discharge capacity C
0.5
4, magnitude of voltage V1 after record the 1.7th step completion calculates V0=V1/2.7;
5, in testing software, gather the voltage detailed data in the 1.3rd, 1.6 steps.Acquisition method is: since the 0th second of the 1.3rd step, write down the 1st data, whenever at a distance from voltage data of 10 seconds records, end to collecting 150 data points then; The above acquisition method of the 1.6th step repetition is also gathered 150 points; 300 data points that collect are arranged in a vector in chronological order, are designated as Y (y
1, y
2... Y
n), the battery characteristics that is the monomer lithium ion battery of treating combo is vectorial; Each treats that the voltage data of combo lithium ion battery counts should be one by one correspondingly, promptly is synchronous on time shaft.Simultaneously, according to creation data, the characteristic vector that settles the standard S (s
1, s
2... S
n); Concrete confirm that method is following: in the lithium ion battery of same steady production batch; 500 lithium ion batteries of picked at random are gathered first " standard cell " voltage data in the 1.3rd, 1.6 steps as " standard cell " according to above-mentioned steps 1.1~1.7, whenever gather the numerical value of first " standard cell " voltage at a distance from 10 seconds that is:; And be arranged in chronological order together, form the vector of first " standard cell "
Be the battery characteristics vector of first " standard cell "; All the other " standard cells " are gathered after the same method, thereby obtain the battery characteristics vector of every " standard cell "
" i " expression i is " standard cell " only; The voltage data of 500 standard cells is counted should be corresponding one by one, promptly is synchronous on time shaft; Standard feature vector S (s
1, s
2... S
n) in
In addition, " standard cell " number of elements of picked at random is The more the better, can make standard feature vector S (s like this
1, s
2... S
n) more accurate; If " standard cell " of picked at random is less than 100, standard feature vector S (s then
1, s
2... S
n) accuracy just poor, generally answer the batch process lithium ion battery of picked at random more than 100 as " standard cell ".
According to following formula, calculate the battery characteristics vector and the vectorial coefficient correlation of standard feature of treating the combo lithium ion battery:
Wherein, y
iThe i dimension of sorting battery characteristics vector is treated in expression, i.e. i data points, and n representes the dimension of vector, the i.e. number of cell voltage data point;
The mean value of sorting battery characteristics vector is treated in expression; s
iThe i dimension of expression standard feature vector,
The mean value of expression standard feature vector.r
YSThe characteristic vector of sorting battery and the coefficient correlation between the standard feature vector are treated in expression.
6, according to C
0.5, CI, V0, r
YSValue, carry out stepping by following stepping number range:
C
0.5≥9.2Ah;
CI 10%~15%,16%~20%,21%~25%,26%~30%;
V0?1.05~1.10 1.11~1.15,1.16~1.20;
r
YS?0.90~0.95,0.96~1.0;
Above-mentioned stepping number range is the artificial number range of confirming, those skilled in the art can confirm according to actual needs, are that those skilled in the art can freely select; As long as guaranteeing the battery combo of same class uses; Just can realize the goal of the invention of " the battery assembling uses the overall performance of back battery pack to be brought into play better ", that is: the concrete numerical value of above-mentioned stepping number range does not influence the realization of the goal of the invention of the invention.
In testing software, set corresponding stepping number range; Remaining combo lithium ion battery is sorted out, parameters all same stepping number range be one grade, utilize the LED lamp prompting machine down on the tester; Sub-category machine is down placed, and the battery of same class then can combo use.
Wherein, parameters is not participated in combo outside the above value scope, is defective item.
7, form a battery pack 36V10Ah battery pack according to selected following 10 batteries of the stepping scope in the 6th step, the combo data of monocell are (battery pack loop test curve is as shown in Figure 1):
The battery numbering | C 0.5 | CI | V0 | r YS |
002 | 9.28Ah | 22% | 1.18 | 0.98 |
006 | 9.26Ah | 23% | 1.17 | 0.99 |
007 | 9.30Ah | 22% | 1.16 | 0.97 |
012 | 9.29Ah | 24% | 1.19 | 0.96 |
013 | 9.32Ah | 21% | 1.19 | 0.97 |
015 | 9.27Ah | 22% | 1.18 | 0.96 |
024 | 9.28Ah | 23% | 1.17 | 0.96 |
028 | 9.31Ah | 22% | 1.18 | 0.98 |
032 | 9.31Ah | 24% | 1.18 | 0.98 |
033 | 9.30Ah | 25% | 1.17 | 0.97 |
Claims (6)
1. the lithium ion battery grouping method based on the battery characteristics vector is characterized in that, comprises the steps:
(1) lithium ion battery that will treat combo discharges and recharges detection, and testing process is set to:
(1.1) with the electric current constant-current discharge of 0.2C to lower voltage limit,
(1.2) leave standstill 10~30 minutes,
(1.3) with the supreme pressure of rationing the power supply of the electric current constant current charge of 2C,
(1.4) charge to upper voltage limit after, constant voltage charge to electric current is less than 0.02C,
(1.5) leave standstill 10~30 minutes,
(1.6) with the electric current constant-current discharge of 2C to lower voltage limit,
(1.7) leave standstill 120~240 minutes;
(2) (1.3) step of record charging capacity C1 and (1.4) goes on foot charging capacity C2, calculates the ratio C I=C2/C1 of the two;
(3) (1.6) step of record discharge capacity C
0.5
(4) magnitude of voltage V1 after record (1.7) the step completion calculates the V0=V1/ lower voltage limit;
The voltage data in (5) collection (1.3), (1.6) step that is: is captured in the time interval T, waits the numerical value of lithium ion battery voltage that divides into groups, and is arranged in chronological order together, forms a vectorial Y (y
1, y
2... Y
n), the battery characteristics that is the monomer lithium ion battery of treating combo is vectorial; Each treats that the voltage data of combo lithium ion battery counts should be one by one correspondingly, promptly is synchronous on time shaft; According to formula (I), the similitude of counting cell characteristic vector and standard feature vector:
Wherein, y
iExpression wait the to divide into groups i dimension of lithium ion battery characteristics vector, i.e. i data points, n representes the dimension of vector, the i.e. number of cell voltage data point;
Represent to wait to divide into groups the vectorial mean value of lithium ion battery characteristics; s
iThe i dimension of expression standard feature vector,
The mean value of expression standard feature vector; r
YSBattery characteristics vector and the coefficient correlation between the standard feature vector of the lithium ion battery of combo treated in expression;
(6) according to C
0.5, CI, V0, r
YSValue is carried out stepping by the stepping number range, remaining combo lithium ion battery is sorted out, parameters all same stepping number range be one grade, the battery of same class then can combo uses.
2. the lithium ion battery grouping method based on the battery characteristics vector according to claim 1 is characterized in that said lower voltage limit is 2.7V~3.0V for lithium manganate battery, ternary material battery or cobalt acid lithium battery; Said lower voltage limit is 2.0V~2.3V for ferric phosphate lithium cell.
3. the lithium ion battery grouping method based on the battery characteristics vector according to claim 1 is characterized in that said upper voltage limit is 4.1V~4.25V for lithium manganate battery, ternary material battery or cobalt acid lithium battery; Said upper voltage limit is 3.5~3.9V for ferric phosphate lithium cell.
4. the lithium ion battery grouping method based on the battery characteristics vector according to claim 1; It is characterized in that; Time interval T in (5) step is smaller or equal to 60S, and data collection point is more than or equal to 300, and (1.3) data collection point equates with (1.6) step data collection point quantity; That is: (1.3) data collection point is more than or equal to 150, and (1.6) step data collection point is more than or equal to 150.
5. the lithium ion battery grouping method based on battery characteristics vector according to claim 1 is characterized in that, the voltage data collection of each lithium ion battery of waiting to divide into groups is counted identical.
6. the lithium ion battery grouping method based on battery characteristics vector according to claim 1 is characterized in that, the voltage data of each lithium ion battery of waiting to divide into groups o'clock according to the test in (1.3), (1.6) step successively is arranged in together in chronological order.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201110367124.XA CN102394315B (en) | 2011-11-18 | 2011-11-18 | Cell characteristic vector based lithium ion cell configuration method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201110367124.XA CN102394315B (en) | 2011-11-18 | 2011-11-18 | Cell characteristic vector based lithium ion cell configuration method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN102394315A true CN102394315A (en) | 2012-03-28 |
CN102394315B CN102394315B (en) | 2014-02-19 |
Family
ID=45861570
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201110367124.XA Expired - Fee Related CN102394315B (en) | 2011-11-18 | 2011-11-18 | Cell characteristic vector based lithium ion cell configuration method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102394315B (en) |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102728564A (en) * | 2012-07-02 | 2012-10-17 | 四川长虹电源有限责任公司 | Screening method of lithium cobaltate monomer batteries |
CN102769152A (en) * | 2012-07-25 | 2012-11-07 | 广州鹏辉能源科技股份有限公司 | Method for repairing lithium iron phosphate power battery material |
CN102903959A (en) * | 2012-10-30 | 2013-01-30 | 长城汽车股份有限公司 | Matching method of lithium ion batteries |
CN103178307A (en) * | 2013-03-26 | 2013-06-26 | 奇瑞汽车股份有限公司 | Power battery assembling method |
CN103176138A (en) * | 2013-02-15 | 2013-06-26 | 中国南方电网有限责任公司调峰调频发电公司 | Battery pack maintaining and detecting method |
CN103487758A (en) * | 2013-09-16 | 2014-01-01 | 向勇 | Lithium ion battery matching method |
CN103545567A (en) * | 2013-10-16 | 2014-01-29 | 宁波世捷新能源科技有限公司 | Method used for rapid sorting of lithium ion batteries |
CN104316877A (en) * | 2014-01-09 | 2015-01-28 | 中航锂电(洛阳)有限公司 | Self-discharge detection method of lithium iron phosphate battery |
CN104681851A (en) * | 2015-02-09 | 2015-06-03 | 威睿电动汽车技术(苏州)有限公司 | Method for matching lithium ion power batteries for automobiles |
CN109742461A (en) * | 2018-12-29 | 2019-05-10 | 惠州市纬世新能源有限公司 | A method of to more string assembled battery combos |
CN109786874A (en) * | 2018-12-26 | 2019-05-21 | 江苏春兰清洁能源研究院有限公司 | A kind of partial volume method of lithium ion battery |
CN111564669A (en) * | 2020-04-26 | 2020-08-21 | 天能电池集团股份有限公司 | Lead storage battery matching method based on internal formation process |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101764259A (en) * | 2010-01-15 | 2010-06-30 | 苏州星恒电源有限公司 | Method for group matching of power lithium-ion rechargeable battery |
CN101924247A (en) * | 2010-07-29 | 2010-12-22 | 江苏双登集团有限公司 | Lithium ion battery grouping method |
-
2011
- 2011-11-18 CN CN201110367124.XA patent/CN102394315B/en not_active Expired - Fee Related
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101764259A (en) * | 2010-01-15 | 2010-06-30 | 苏州星恒电源有限公司 | Method for group matching of power lithium-ion rechargeable battery |
CN101924247A (en) * | 2010-07-29 | 2010-12-22 | 江苏双登集团有限公司 | Lithium ion battery grouping method |
Cited By (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102728564A (en) * | 2012-07-02 | 2012-10-17 | 四川长虹电源有限责任公司 | Screening method of lithium cobaltate monomer batteries |
CN102769152B (en) * | 2012-07-25 | 2014-10-22 | 广州鹏辉能源科技股份有限公司 | Method for repairing lithium iron phosphate power battery material |
CN102769152A (en) * | 2012-07-25 | 2012-11-07 | 广州鹏辉能源科技股份有限公司 | Method for repairing lithium iron phosphate power battery material |
CN102903959A (en) * | 2012-10-30 | 2013-01-30 | 长城汽车股份有限公司 | Matching method of lithium ion batteries |
CN102903959B (en) * | 2012-10-30 | 2014-12-03 | 长城汽车股份有限公司 | Matching method of lithium ion batteries |
CN103176138A (en) * | 2013-02-15 | 2013-06-26 | 中国南方电网有限责任公司调峰调频发电公司 | Battery pack maintaining and detecting method |
CN103176138B (en) * | 2013-02-15 | 2015-09-09 | 中国南方电网有限责任公司调峰调频发电公司 | A kind of electric battery preservation & testing method |
CN103178307A (en) * | 2013-03-26 | 2013-06-26 | 奇瑞汽车股份有限公司 | Power battery assembling method |
CN103487758A (en) * | 2013-09-16 | 2014-01-01 | 向勇 | Lithium ion battery matching method |
CN103487758B (en) * | 2013-09-16 | 2016-03-09 | 向勇 | A kind of lithium ion battery grouping method |
CN103545567B (en) * | 2013-10-16 | 2016-02-03 | 宁波世捷新能源科技有限公司 | A kind of method of quick sorting lithium ion battery |
CN103545567A (en) * | 2013-10-16 | 2014-01-29 | 宁波世捷新能源科技有限公司 | Method used for rapid sorting of lithium ion batteries |
CN104316877A (en) * | 2014-01-09 | 2015-01-28 | 中航锂电(洛阳)有限公司 | Self-discharge detection method of lithium iron phosphate battery |
CN104316877B (en) * | 2014-01-09 | 2017-12-05 | 中航锂电(江苏)有限公司 | A kind of self discharge detection method of ferric phosphate lithium cell |
CN104681851A (en) * | 2015-02-09 | 2015-06-03 | 威睿电动汽车技术(苏州)有限公司 | Method for matching lithium ion power batteries for automobiles |
CN109786874A (en) * | 2018-12-26 | 2019-05-21 | 江苏春兰清洁能源研究院有限公司 | A kind of partial volume method of lithium ion battery |
CN109786874B (en) * | 2018-12-26 | 2022-06-07 | 江苏春兰清洁能源研究院有限公司 | Capacity grading method of lithium ion battery |
CN109742461A (en) * | 2018-12-29 | 2019-05-10 | 惠州市纬世新能源有限公司 | A method of to more string assembled battery combos |
CN111564669A (en) * | 2020-04-26 | 2020-08-21 | 天能电池集团股份有限公司 | Lead storage battery matching method based on internal formation process |
Also Published As
Publication number | Publication date |
---|---|
CN102394315B (en) | 2014-02-19 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102394315B (en) | Cell characteristic vector based lithium ion cell configuration method | |
CN104502859B (en) | The detection of battery charge amount and cell health state, diagnostic method | |
CN107658511B (en) | Power lithium battery combination method and dynamic lithium battery method for group matching | |
CN107511340B (en) | A kind of lithium-ion-power cell sorting method for group matching | |
CN106684475B (en) | A kind of method for separating of ferric phosphate lithium cell | |
CN103611692B (en) | Lithium iron phosphate power battery consistency matching screening method | |
CN107607881A (en) | A kind of evaluation method of lithium-ion-power cell self discharge uniformity | |
CN108923080B (en) | Lithium ion battery matching method | |
CN105903692A (en) | Lithium ion battery consistency screening method | |
CN107123825B (en) | A kind of lead storage battery method for group matching | |
CN107607874B (en) | The bikini screening technique of quick charge/discharge lithium ion battery | |
CN105203965B (en) | A kind of energy storage battery test method | |
CN109768342B (en) | Matching method of power lead storage batteries | |
CN102903957B (en) | Method for rapidly screening self discharge of lithium iron phosphate battery | |
CN103956513B (en) | A kind of method for group matching of high-capacity lithium electrokinetic cell | |
CN104577226B (en) | A kind of method for group matching improving power battery pack service life cycle | |
CN105589040A (en) | Battery regulation and control method based on aging adjustment battery operation interval | |
CN103316852A (en) | Battery selecting method | |
CN110749832B (en) | Method for quickly estimating actual capacity of retired lithium ion battery of electric vehicle | |
CN110031771A (en) | A method of description battery consistency | |
CN102879743B (en) | Lithium ion battery residual electric quantity real-time analysis computing method | |
CN104269574A (en) | Battery pack sorting method | |
CN106207284A (en) | A kind of method promoting ferric phosphate lithium cell partial volume Capacity uniformity | |
CN101614793B (en) | Method for evaluating consistency of batteries | |
CN109759354A (en) | One kind retracting battery and shunts screening technique |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20140219 Termination date: 20181118 |
|
CF01 | Termination of patent right due to non-payment of annual fee |