CN107728072A - A kind of method for quick predicting of cycle life of lithium ion battery - Google Patents

A kind of method for quick predicting of cycle life of lithium ion battery Download PDF

Info

Publication number
CN107728072A
CN107728072A CN201710936497.1A CN201710936497A CN107728072A CN 107728072 A CN107728072 A CN 107728072A CN 201710936497 A CN201710936497 A CN 201710936497A CN 107728072 A CN107728072 A CN 107728072A
Authority
CN
China
Prior art keywords
battery
cycle
cycle life
volume change
lithium ion
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.)
Pending
Application number
CN201710936497.1A
Other languages
Chinese (zh)
Inventor
姚丹
彭文
李亚金
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hefei Gotion High Tech Power Energy Co Ltd
Original Assignee
Hefei Guoxuan High Tech Power Energy Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hefei Guoxuan High Tech Power Energy Co Ltd filed Critical Hefei Guoxuan High Tech Power Energy Co Ltd
Priority to CN201710936497.1A priority Critical patent/CN107728072A/en
Publication of CN107728072A publication Critical patent/CN107728072A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385Arrangements for measuring battery or accumulator variables

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Secondary Cells (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The present invention discloses a kind of method for quick predicting of cycle life of lithium ion battery, comprises the following steps:The charge-discharge performance that battery to be evaluated is carried out to different cycle-indexes is tested, and records voltage in the charging process of different cycle-indexes, capacity and the relation curve of time;Calculating under different cycle-indexes voltage in battery charging process according to these curves increases to from 3.95V the changes delta C of this section inner capacities of 4.15V;Calculating is fitted according to volume change Δ C and cycle-index test data, the cycle life of battery is predicted.The present invention is compared with the cycle life method of testing of routine, it is simple and easy, substantially reduce the test period of cycle life, and compared with pure theory is calculated and empirical model is predicted, with more universality, it is more preferable with actual test result uniformity, research and development of products speed is accelerated, there is larger application in fields such as new energy.

Description

A kind of method for quick predicting of cycle life of lithium ion battery
Technical field
The present invention relates to cycle life of lithium ion battery technical field of measurement and test, specifically a kind of cycle life of lithium ion battery Method for quick predicting.
Background technology
Lithium ion battery is because its is environment-friendly, pollution is small, have extended cycle life, does not have the advantages that memory effect, extensive use In mobile digital product, or even it is used for as energy-storage system among electric automobile.Service life is to weigh the weight of battery performance Index is wanted, with the high speed development of battery technology, the battery cycle life in electric automobile field has reached 2000 times even More than 2500 times.At present during the research and development, inspection and type selecting of lithium ion battery widely used life testing method be Loop test is carried out under certain operating mode, it is well known that the major defect of these circulation test algorithms is that time-consuming, and this is not only caused very Big equipment and energy resource consumption, it is slow to also result in research and development of products progress.Therefore if obtaining battery life correlation in a short time Information will greatly shorten development time of Related product, and have in the field such as lithium ion battery exploitation and type selecting it is very big should With value.
Researchers are largely studied in the rapid testing technology field of cycle life of lithium ion battery, have obtained one A little accelerated test schemes, for example test etc. from quick charge and discharge operating mode and in high temperature environments, generally still need to thousands of small Shi Caike completes test, however it remains the phenomenon of the wasting of resources.Therefore the cycle of shortening life assessment has become urgently to be resolved hurrily The problem of.
The content of the invention
It is an object of the invention to provide a kind of method for quick predicting of cycle life of lithium ion battery, by battery Charge-discharge test, the cycles left life-span of battery can be predicted, and required time is not grown, and need not expensive accurate survey Try equipment and complicated theoretical calculation, by short-term loop test can fast prediction battery cycle life, greatly reduce Time and the wasting of resources caused by conventionally test.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of method for quick predicting of cycle life of lithium ion battery, comprises the following steps:
Step 1, the charge-discharge performance test by the different cycle-indexes of battery progress to be evaluated, record different cycle-indexes Charging process in voltage, capacity and the relation curve of time;
Step 2, calculate under different cycle-indexes according to these curves that voltage increases to from 3.95V in battery charging process Volume change Δ C in this section of 4.15V;
Step 3, calculating is fitted according to volume change Δ C and cycle-index test data, the circulation longevity to battery Life is predicted:
1) it is fitted to obtain linear functional relation formula according to volume change Δ C and corresponding capability retention:Y= 0.002x-0.3349;Wherein, x represents that volume change Δ C (mAh), y represent capability retention;
2) it is fitted to obtain linear functional relation formula according to circulating battery number and corresponding volume change Δ C:y =-0.1x+667.55, wherein, x represents circulating battery number, and y represents volume change Δ C;
3) corresponding circulating battery number when battery capacity conservation rate is 80% is calculated.
Further scheme, in step 1, the cycle-index is 200~500 times, stops the battery after loop test and is in Discharge condition.
Further scheme, in the charge-discharge performance test in step 1, charging process is that constant current 1C charges to 4.2V, turns perseverance Pressure charging 0.05C cut-offs;Constant-current discharge electric current is 1C.
Further scheme, charging voltage section corresponding to the volume change Δ C in step 2 is 3.95V to 4.15V.
Beneficial effects of the present invention:
1st, the present invention does not change original method of testing, it is only necessary to especially pick out by being circulated in short term to battery Volume change in a certain section of voltage range, establishes model, so as to finally establish it is a kind of by short-term test realize to lithium from The method of the sub- long-term Cycle life prediction of battery.
2nd, the inventive method can be applied in lithium ion battery R&D process study in Cycle life prediction in, so as to for Corresponding battery exploitation provides Fast Evaluation means, shortens the Performance Evaluation time caused by time-consuming because of regular circulation test and grows The problem of.
3rd, the inventive method is by carrying out short-term loop test to battery to be evaluated, you can according to cycle-index, circulation Relation between tri- numerical value of capability retention and Δ C is fitted calculating, so as to predict the battery in this test condition Cycle life, this substantially reduces test period compared with regular circulation is tested, and also therefore avoids by long-term test is produced Raw energy consumption and the wasting of resources;In addition, Forecasting Methodology of the present invention is the data fitting carried out on the basis of short-term measured data, with Pure theory calculates and empirical model is compared and has more universality, therefore prediction accuracy is higher.
4th, the inventive method is only to carry out certain processing in original loop test data to can be achieved to follow battery for a long time The prediction in ring life-span, therefore there is universal applicability.
Brief description of the drawings
Fig. 1 is Δ C and capability retention fit correlation figure in the different number charge and discharge cycles tests of the present invention;
Fig. 2 is Δ C and cycle-index fit correlation figure in the different number charge and discharge cycles tests of the present invention.
Embodiment
The present invention is described in further detail with specific embodiment below in conjunction with the accompanying drawings.
Embodiment
A kind of method for quick predicting of cycle life of lithium ion battery, specifically includes following steps:
Step 1:The charge-discharge performance that battery to be evaluated is carried out to different cycle-indexes is tested, and records different circulations time Voltage, capacity and the relation curve of time in several charging processes;
Step 2:Voltage is calculated under different cycle-indexes in battery charging process from 3.95V increases according to these curves To the changes delta C of this section inner capacities of 4.15V;
Step 3:Calculating is fitted according to volume change Δ C and cycle-index test data, the circulation longevity to battery Life is predicted;
As shown in Figure 1, 2, the method for the Fitting Calculation, specifically includes following steps:
(1) it is fitted to obtain linear functional relation formula according to volume change Δ C and corresponding capability retention:Y= 0.002x-0.3349;X represents that volume change Δ C (mAh), y represent capability retention;
(2) it is fitted to obtain linear functional relation formula according to circulating battery number and correspondingly volume change Δ C:y =-0.1x+667.55, wherein, x represents circulating battery number, and y represents volume change Δ C;
(3) corresponding circulating battery number when battery capacity conservation rate is 80% is calculated.
The present embodiment is by taking battery core model 2.95Ah ternary battery core batteries as an example, initial discharge capacity 2.94Ah;Charging Volume change Δ C of the voltage range between 3.95-4.15V is 647.3mAh;Loop test condition is with 1C multiplying powers at 25 DEG C Carrying out cycle charge-discharge experiment, charge and discharge mode is constant-current constant-voltage charging-shelve-constant-current discharge, charge cutoff voltage 4.2V, Discharge cut-off voltage is 3.0V, and it is 30min to shelve dormancy time, and the test equipment used is the new prestige charge-discharge tests of 5V/10A Cabinet.Choose 10 with batch battery circulate respectively 10 times, 20 times, 30 times, 40 times, 50 times, 100 times, 200 times, 300 times, 400 It is secondary, 500 times, correspondingly capability retention is recorded, in the charging process for then calculating different cycle-index battery cores respectively ΔC.In order to which more intuitively the variation relation between explanation cycle-index, capability retention, Δ C, this example test data are summarized as follows Table 1.
Table 1
Circulating battery number, capability retention, the data of electrolyte retention during 10-50 times according to listed by table 1 circulation, Can be to these short-term data digital simulations and predicting long-term cycle life.First, using volume change Δ C as X-axis, capacity is kept Rate is that Y-axis does linear relationship chart, and fits linear relation y=0.002x-0.3349 with software, as shown in figure 1, closing accordingly Be formula can calculate battery capacity conservation rate for 80% when volume change Δ C=567.45mAh;Secondly, with circulating battery Number is X-axis, and volume change Δ C is Y-axis, does linear relationship chart, and fit linear relation y=-0.1x+ with software 667.55, as shown in Fig. 2 the electrolyte that previous step is calculated, which possesses rate score 567.45mAh, substitutes into this relation, can calculate It is 1000 times to obtain corresponding cycle life when battery capacity conservation rate is 80%, as can be seen from Table 1 should in actual test Cycle-index is 1057 times when batch battery capacity decays to 80%, and relative error is about 5.4%, it is seen that the inventive method is to lithium Ion battery Cycle life prediction result is more accurate.
The above-mentioned description to embodiment is understood that for ease of those skilled in the art and using this hair It is bright.Person skilled in the art obviously can easily make various modifications to case study on implementation, and described herein one As principle be applied in other embodiment without by performing creative labour.Therefore, the invention is not restricted to implementation case here Example, for those skilled in the art according to the announcement of the present invention, not departing from improvement that scope made and modification all should be Within protection scope of the present invention.

Claims (4)

1. a kind of method for quick predicting of cycle life of lithium ion battery, it is characterised in that comprise the following steps:
Step 1, the charge-discharge performance test by the different cycle-indexes of battery progress to be evaluated, record filling for different cycle-indexes Voltage, capacity and the relation curve of time in electric process;
Step 2, calculate under different cycle-indexes according to these curves that voltage increases to from 3.95V in battery charging process Volume change Δ C in this section of 4.15V;
Step 3, calculating is fitted according to volume change Δ C and cycle-index test data, the cycle life of battery is entered Row prediction:
1)It is fitted to obtain linear functional relation formula according to volume change Δ C and corresponding capability retention:Y= 0.002x-0.3349;Wherein, x represents volume change Δ C(mAh), y expression capability retentions;
2)It is fitted to obtain linear functional relation formula according to circulating battery number and corresponding volume change Δ C:Y=- 0.1x+667.55, wherein, x represents circulating battery number, and y represents volume change Δ C;
3)Calculate corresponding circulating battery number when battery capacity conservation rate is 80%.
2. the method for quick predicting of cycle life of lithium ion battery according to claim 1, it is characterised in that in step 1, The cycle-index is 200~500 times, stops the battery after loop test and is in discharge condition.
3. the method for quick predicting of cycle life of lithium ion battery according to claim 1, it is characterised in that in step 1 Charge-discharge performance test in, charging process be constant current 1C charge to 4.2V, turn constant-voltage charge 0.05C cut-off;Constant-current discharge electricity Flow for 1C.
4. the method for quick predicting of cycle life of lithium ion battery according to claim 1, it is characterised in that in step 2 Volume change Δ C corresponding to charging voltage section be 3.95V to 4.15V.
CN201710936497.1A 2017-10-10 2017-10-10 A kind of method for quick predicting of cycle life of lithium ion battery Pending CN107728072A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710936497.1A CN107728072A (en) 2017-10-10 2017-10-10 A kind of method for quick predicting of cycle life of lithium ion battery

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710936497.1A CN107728072A (en) 2017-10-10 2017-10-10 A kind of method for quick predicting of cycle life of lithium ion battery

Publications (1)

Publication Number Publication Date
CN107728072A true CN107728072A (en) 2018-02-23

Family

ID=61210066

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710936497.1A Pending CN107728072A (en) 2017-10-10 2017-10-10 A kind of method for quick predicting of cycle life of lithium ion battery

Country Status (1)

Country Link
CN (1) CN107728072A (en)

Cited By (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108445414A (en) * 2018-04-26 2018-08-24 合肥国轩高科动力能源有限公司 A kind of method for rapidly testing of ternary cycle life of lithium ion battery
CN109116259A (en) * 2018-10-22 2019-01-01 中兴高能技术有限责任公司 Cycle life of lithium ion battery prediction technique, equipment, system and storage medium
CN109188303A (en) * 2018-08-13 2019-01-11 莱茵技术监护(深圳)有限公司 Fast charge system detection method, equipment and storage medium
CN109633475A (en) * 2018-11-30 2019-04-16 天合光能股份有限公司 A kind of LiFePO4 energy-type cells life prediction method
CN109856559A (en) * 2019-02-28 2019-06-07 武汉理工大学 A kind of prediction technique of lithium battery cycle life
CN110687470A (en) * 2019-10-03 2020-01-14 天合光能股份有限公司 Method and system for on-line prediction of service life of lithium battery in energy storage system
CN110806544A (en) * 2018-07-18 2020-02-18 北汽福田汽车股份有限公司 Method and device for predicting remaining life of battery
CN111077457A (en) * 2019-12-26 2020-04-28 国网河南省电力公司电力科学研究院 Method and device for evaluating accelerated attenuation of lithium iron phosphate battery by gradient utilization
CN111208160A (en) * 2020-02-20 2020-05-29 东莞维科电池有限公司 Method for evaluating cycle performance of ternary material
CN111448469A (en) * 2018-03-07 2020-07-24 株式会社Lg化学 Apparatus and method for predicting state of health of battery
CN111707954A (en) * 2020-06-18 2020-09-25 中汽研汽车检验中心(天津)有限公司 Lithium iron phosphate power battery life prediction method
CN111856298A (en) * 2020-07-23 2020-10-30 上海空间电源研究所 On-orbit residual capacity prediction method for lithium ion storage battery for spacecraft
CN111896880A (en) * 2020-09-01 2020-11-06 湖州快驴科技有限公司 Method for detecting service life of lithium ion battery for electric vehicle
CN112034367A (en) * 2020-11-06 2020-12-04 瑞浦能源有限公司 Lithium ion battery capacity prediction method and system
CN112114260A (en) * 2020-08-04 2020-12-22 中汽研汽车检验中心(天津)有限公司 Method for testing and evaluating overcharge stability of lithium ion battery monomer
CN112198444A (en) * 2020-10-10 2021-01-08 联动天翼新能源有限公司 Method for predicting cycle life of lithium ion battery based on expansion degree of pole piece
CN112946505A (en) * 2019-12-11 2021-06-11 珠海冠宇电池股份有限公司 Method for rapidly testing cycle life of lithium ion battery
CN112946502A (en) * 2019-12-11 2021-06-11 珠海冠宇电池股份有限公司 Method for rapidly testing cycle life of lithium ion battery
CN112946500A (en) * 2019-12-11 2021-06-11 珠海冠宇电池股份有限公司 Method for rapidly testing cycle life of lithium ion battery
CN113406506A (en) * 2021-05-12 2021-09-17 天能电池集团股份有限公司 Method for predicting service life of lead storage battery
CN113495212A (en) * 2020-03-18 2021-10-12 北京好风光储能技术有限公司 Method for estimating maintenance regeneration times and cycle life of maintainable regenerative battery
CN113655397A (en) * 2020-05-12 2021-11-16 北京京东乾石科技有限公司 Method, device and storage medium for determining full charge and discharge frequency of battery
CN113702852A (en) * 2021-09-13 2021-11-26 合肥国轩高科动力能源有限公司 Calculation method for direct current internal resistance of lithium ion batteries in same batch
CN113761716A (en) * 2021-08-12 2021-12-07 惠州市豪鹏科技有限公司 Lithium ion battery cycle life prediction method and application thereof
CN113884932A (en) * 2021-10-28 2022-01-04 广东电网有限责任公司 Method and device for evaluating service life of battery
CN114047452A (en) * 2022-01-13 2022-02-15 浙江玥视科技有限公司 Method and device for determining cycle life of battery
CN114217238A (en) * 2021-11-24 2022-03-22 浙江南都电源动力股份有限公司 Method for predicting cycle life of lithium ion battery
CN115219902A (en) * 2022-07-06 2022-10-21 山东大学 Method and system for rapidly testing service life of power battery
CN116754981A (en) * 2023-08-16 2023-09-15 宁德新能源科技有限公司 Battery capacity prediction method and device, electronic equipment and storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130166233A1 (en) * 2011-12-23 2013-06-27 Seung Bum Suh Device for estimating a lifetime of a secondary battery and method thereof
CN103344917A (en) * 2013-06-13 2013-10-09 北京交通大学 Lithium battery cycle life quick testing method
CN103698712A (en) * 2013-12-20 2014-04-02 天津力神电池股份有限公司 Method for predicating cycle life of lithium ion battery
CN104793144A (en) * 2015-03-31 2015-07-22 中国人民解放军92537部队 Rapid detection method for battery life
CN105068009A (en) * 2015-07-14 2015-11-18 盐城工学院 Battery cycle life prediction method
CN106324524A (en) * 2016-10-11 2017-01-11 合肥国轩高科动力能源有限公司 Rapid prediction method of cycle life of lithium-ion battery

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130166233A1 (en) * 2011-12-23 2013-06-27 Seung Bum Suh Device for estimating a lifetime of a secondary battery and method thereof
CN103344917A (en) * 2013-06-13 2013-10-09 北京交通大学 Lithium battery cycle life quick testing method
CN103698712A (en) * 2013-12-20 2014-04-02 天津力神电池股份有限公司 Method for predicating cycle life of lithium ion battery
CN104793144A (en) * 2015-03-31 2015-07-22 中国人民解放军92537部队 Rapid detection method for battery life
CN105068009A (en) * 2015-07-14 2015-11-18 盐城工学院 Battery cycle life prediction method
CN106324524A (en) * 2016-10-11 2017-01-11 合肥国轩高科动力能源有限公司 Rapid prediction method of cycle life of lithium-ion battery

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
孟祥峰等: "动力电池循环寿命预测方法研究", 《电源技术》 *
谭江等: "湿法球磨制备LiCo1/3Mn1/3Ni1/3O2 材料及表征", 《电源技术》 *

Cited By (44)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111448469A (en) * 2018-03-07 2020-07-24 株式会社Lg化学 Apparatus and method for predicting state of health of battery
US11307263B2 (en) 2018-03-07 2022-04-19 Lg Energy Solution, Ltd. Device and method for predicting state-of-health of battery
CN111448469B (en) * 2018-03-07 2022-07-08 株式会社Lg新能源 Apparatus and method for predicting state of health of battery
CN108445414B (en) * 2018-04-26 2020-12-04 合肥国轩高科动力能源有限公司 Method for rapidly testing cycle life of ternary lithium ion battery
CN108445414A (en) * 2018-04-26 2018-08-24 合肥国轩高科动力能源有限公司 A kind of method for rapidly testing of ternary cycle life of lithium ion battery
CN110806544A (en) * 2018-07-18 2020-02-18 北汽福田汽车股份有限公司 Method and device for predicting remaining life of battery
CN109188303A (en) * 2018-08-13 2019-01-11 莱茵技术监护(深圳)有限公司 Fast charge system detection method, equipment and storage medium
CN109116259A (en) * 2018-10-22 2019-01-01 中兴高能技术有限责任公司 Cycle life of lithium ion battery prediction technique, equipment, system and storage medium
CN109116259B (en) * 2018-10-22 2020-07-07 中兴高能技术有限责任公司 Lithium ion battery cycle life prediction method, device, system and storage medium
CN109633475A (en) * 2018-11-30 2019-04-16 天合光能股份有限公司 A kind of LiFePO4 energy-type cells life prediction method
CN109856559B (en) * 2019-02-28 2021-10-22 武汉理工大学 Lithium battery cycle life prediction method
CN109856559A (en) * 2019-02-28 2019-06-07 武汉理工大学 A kind of prediction technique of lithium battery cycle life
CN110687470A (en) * 2019-10-03 2020-01-14 天合光能股份有限公司 Method and system for on-line prediction of service life of lithium battery in energy storage system
CN112946500B (en) * 2019-12-11 2023-09-15 珠海冠宇电池股份有限公司 Method for rapidly testing cycle life of lithium ion battery
CN112946505B (en) * 2019-12-11 2023-03-14 珠海冠宇电池股份有限公司 Method for rapidly testing cycle life of lithium ion battery
CN112946502B (en) * 2019-12-11 2023-03-14 珠海冠宇电池股份有限公司 Method for rapidly testing cycle life of lithium ion battery
CN112946505A (en) * 2019-12-11 2021-06-11 珠海冠宇电池股份有限公司 Method for rapidly testing cycle life of lithium ion battery
CN112946502A (en) * 2019-12-11 2021-06-11 珠海冠宇电池股份有限公司 Method for rapidly testing cycle life of lithium ion battery
CN112946500A (en) * 2019-12-11 2021-06-11 珠海冠宇电池股份有限公司 Method for rapidly testing cycle life of lithium ion battery
CN111077457A (en) * 2019-12-26 2020-04-28 国网河南省电力公司电力科学研究院 Method and device for evaluating accelerated attenuation of lithium iron phosphate battery by gradient utilization
CN111208160A (en) * 2020-02-20 2020-05-29 东莞维科电池有限公司 Method for evaluating cycle performance of ternary material
CN113495212A (en) * 2020-03-18 2021-10-12 北京好风光储能技术有限公司 Method for estimating maintenance regeneration times and cycle life of maintainable regenerative battery
CN113655397A (en) * 2020-05-12 2021-11-16 北京京东乾石科技有限公司 Method, device and storage medium for determining full charge and discharge frequency of battery
CN111707954A (en) * 2020-06-18 2020-09-25 中汽研汽车检验中心(天津)有限公司 Lithium iron phosphate power battery life prediction method
CN111856298A (en) * 2020-07-23 2020-10-30 上海空间电源研究所 On-orbit residual capacity prediction method for lithium ion storage battery for spacecraft
CN112114260A (en) * 2020-08-04 2020-12-22 中汽研汽车检验中心(天津)有限公司 Method for testing and evaluating overcharge stability of lithium ion battery monomer
CN111896880A (en) * 2020-09-01 2020-11-06 湖州快驴科技有限公司 Method for detecting service life of lithium ion battery for electric vehicle
CN112198444B (en) * 2020-10-10 2022-07-26 联动天翼新能源有限公司 Method for predicting cycle life of lithium ion battery based on expansion degree of pole piece
CN112198444A (en) * 2020-10-10 2021-01-08 联动天翼新能源有限公司 Method for predicting cycle life of lithium ion battery based on expansion degree of pole piece
CN112034367B (en) * 2020-11-06 2021-01-15 瑞浦能源有限公司 Lithium ion battery capacity prediction method and system
CN112034367A (en) * 2020-11-06 2020-12-04 瑞浦能源有限公司 Lithium ion battery capacity prediction method and system
CN113406506A (en) * 2021-05-12 2021-09-17 天能电池集团股份有限公司 Method for predicting service life of lead storage battery
CN113761716A (en) * 2021-08-12 2021-12-07 惠州市豪鹏科技有限公司 Lithium ion battery cycle life prediction method and application thereof
CN113761716B (en) * 2021-08-12 2024-02-02 惠州市豪鹏科技有限公司 Lithium ion battery cycle life prediction method and application thereof
CN113702852B (en) * 2021-09-13 2023-10-10 合肥国轩高科动力能源有限公司 Calculation method of direct current internal resistance of lithium ion batteries in same batch
CN113702852A (en) * 2021-09-13 2021-11-26 合肥国轩高科动力能源有限公司 Calculation method for direct current internal resistance of lithium ion batteries in same batch
CN113884932B (en) * 2021-10-28 2024-04-09 广东电网有限责任公司 Method and device for evaluating service life of battery
CN113884932A (en) * 2021-10-28 2022-01-04 广东电网有限责任公司 Method and device for evaluating service life of battery
CN114217238A (en) * 2021-11-24 2022-03-22 浙江南都电源动力股份有限公司 Method for predicting cycle life of lithium ion battery
CN114047452A (en) * 2022-01-13 2022-02-15 浙江玥视科技有限公司 Method and device for determining cycle life of battery
CN114047452B (en) * 2022-01-13 2022-05-13 浙江玥视科技有限公司 Method and device for determining cycle life of battery
CN115219902A (en) * 2022-07-06 2022-10-21 山东大学 Method and system for rapidly testing service life of power battery
CN116754981A (en) * 2023-08-16 2023-09-15 宁德新能源科技有限公司 Battery capacity prediction method and device, electronic equipment and storage medium
CN116754981B (en) * 2023-08-16 2024-01-19 宁德新能源科技有限公司 Battery capacity prediction method and device, electronic equipment and storage medium

Similar Documents

Publication Publication Date Title
CN107728072A (en) A kind of method for quick predicting of cycle life of lithium ion battery
Zheng et al. A novel capacity estimation method for lithium-ion batteries using fusion estimation of charging curve sections and discrete Arrhenius aging model
CN109856559B (en) Lithium battery cycle life prediction method
CN106291372B (en) A kind of new lithium-ion-power cell method for predicting residual useful life
CN106324524B (en) Method for rapidly predicting cycle life of lithium ion battery
CN110031770B (en) Method for rapidly obtaining capacity of all single batteries in battery pack
CN110161425B (en) Method for predicting remaining service life based on lithium battery degradation stage division
CN107271913B (en) A method of it is predicted applied to power battery residual capacity
CN108919129A (en) When a kind of under variable working condition power battery life-span prediction method
CN103698712B (en) A kind of method of predicting cycle life of lithium ion battery
CN106055775B (en) A kind of service life of secondary cell prediction technique that particle filter is combined with mechanism model
CN112198444B (en) Method for predicting cycle life of lithium ion battery based on expansion degree of pole piece
CN109856542B (en) Calibration method of lithium battery SOC-OCV curve cluster, SOC correction method and device
CN106772064A (en) A kind of health state of lithium ion battery Forecasting Methodology and device
CN105866700B (en) A kind of method that lithium ion battery quickly screens
CN105634063B (en) A kind of active equalization method based on battery history data
CN103091639A (en) Battery service life detecting method and detecting device
CN105353316B (en) SOC variable quantities and charge capacity conversion factor measuring method during power battery charging
CN109782190A (en) Method for estimating the remaining life of single battery or single batch of battery
CN109061478A (en) A method of it is tested using EIS and carries out lithium ion battery service life qualitative forecasting
CN103424712A (en) Method for measuring residual capacity of battery in online manner on basis of particle swarm optimization
Jiang et al. An aging-aware soc estimation method for lithium-ion batteries using xgboost algorithm
CN108732499A (en) A kind of method and system of detection cycle life of lithium ion battery
CN106707179A (en) Method and device for predicting capacity of battery
CN110221210A (en) A kind of cycle life of lithium ion battery method for quick predicting

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20180223

RJ01 Rejection of invention patent application after publication