CN112108400A - Test method for predicting cycle performance of soft package battery - Google Patents

Test method for predicting cycle performance of soft package battery Download PDF

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CN112108400A
CN112108400A CN202010788721.9A CN202010788721A CN112108400A CN 112108400 A CN112108400 A CN 112108400A CN 202010788721 A CN202010788721 A CN 202010788721A CN 112108400 A CN112108400 A CN 112108400A
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standard
soft package
battery
cycle
tested
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CN112108400B (en
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路遥
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Hefei Gotion High Tech Power Energy Co Ltd
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Hefei Guoxuan High Tech Power Energy Co Ltd
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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
    • 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]
    • G01R31/378Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator

Abstract

The invention discloses a test method for predicting the cycle performance of a soft package battery, which comprises the following steps: s1, taking m standard soft package batteries, discharging the standard soft package batteries to empty power, and standing to balance the temperature of the standard soft package batteries; then adjusting the initial constraint force F0 to fix the standard soft package battery in an expansion force testing device, performing cycle performance test on the standard soft package battery, and detecting the expansion force of the standard soft package battery in the cycle process, wherein the cycle number is N, and the expansion force of the standard soft package battery at each cycle of 100 cycles is recorded as F; s2, calculating the expansion force change rate
Figure DDA0002622983270000011
Taking the cycle number N as an abscissa and the expansion force change rate delta F% as an ordinate to obtain m standard curves of N-delta F%; s3, obtaining an N-delta F% curve of the soft package battery to be tested according to the operation in S1 and S2; s4, mixingAnd comparing the N-delta F% curve of the soft package battery to be tested with the m N-delta F% standard curves.

Description

Test method for predicting cycle performance of soft package battery
Technical Field
The invention relates to the technical field of soft package batteries, in particular to a test method for predicting the cycle performance of a soft package battery.
Background
The cycle life is the most important index for evaluating the performance of a lithium ion battery, and with the continuous expansion of the application range of power batteries, the requirement of a vehicle enterprise on the cycle life of a battery core is improved to more than 2000 weeks.
There are various factors that cause the degradation of lithium ion batteries, such as: the method comprises the following steps of precipitation of metal lithium, growth of an SEI film, side reactions of positive and negative electrode materials and electrolyte, electrolyte consumption, diaphragm blockage or damage and the like, so developers need to comprehensively consider the factors to develop a DOE experiment to screen out a performance-up-to-standard electric core system, but development of the DOE experiment involves a series of variable factors, a plurality of electric cores need to be evaluated simultaneously, the test period is long, a large amount of test resources are occupied, and therefore a new evaluation mode is urgently needed to be found to shorten the evaluation period.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides the test method for predicting the cycle performance of the soft package battery, the operation is simple, a complex algorithm and data fitting are not needed, the cycle performance can be evaluated in a short period, the test cost is reduced, and the product development period is shortened.
The invention provides a test method for predicting the cycle performance of a soft package battery, which comprises the following steps:
s1, taking m standard soft package batteries, discharging the standard soft package batteries to empty power, and standing to balance the temperature of the standard soft package batteries; then adjusting the initial constraint force F0 to fix the standard soft package battery in an expansion force testing device, performing cycle performance test on the standard soft package battery, and detecting the expansion force of the standard soft package battery in the cycle process, wherein the cycle number is recorded as N, and the expansion force of the standard soft package battery at each cycle of 100 cycles is recorded as F;
s2, calculating the expansion force change rate
Figure BDA0002622983250000021
Taking the cycle number N as an abscissa and the expansion force change rate delta F% as an ordinate to obtain m N-delta F% standard curves;
s3, obtaining an N-delta F% curve of the soft package battery to be tested according to the operation in S1 and S2;
s4, comparing the N-delta F% curve of the soft package battery to be tested with the m N-delta F% standard curves, wherein the cycle life of the standard soft package battery corresponding to the 2N-delta F% standard curves adjacent to the N-delta F% curve of the soft package battery to be tested is the cycle life interval of the soft package battery to be tested.
Preferably, in S1, the cycle life of the m standard pouch batteries is different and distributed in a gradient manner.
The cycle life is in a gradient distribution state as follows: 500 weeks, 800 weeks, 1000 weeks, 1200 weeks, 1500 weeks, 1800 weeks, etc.
Preferably, m.gtoreq.2.
Preferably, in S1, the standard pouch cell temperature is equilibrated by standing for 30 min.
Preferably, in S1, the initial restraining force F0 is adjusted to fix the standard pouch battery in the swelling force testing device, and after standing for 1h, the standard pouch battery is subjected to a cycle performance test, and the swelling force of the standard pouch battery during the cycle is detected.
Preferably, in S3, the initial restraining force F0 of the pouch battery to be tested is the same as that of the standard pouch battery.
The initial constraint force can be adjusted to a proper value according to the size of the battery cell of the soft package battery; such as 0-500kgf, etc.
Preferably, in S3, the pouch battery to be tested and the standard pouch battery have the same detection conditions in the cycle performance test.
The detection condition during the cycle performance test can be adjusted to appropriate parameters according to the electric core system of the soft package battery, such as: the charge cutoff current in the constant voltage stage is 0.05C, the charge and discharge multiplying power is 1C, the charge and discharge interval standing time is 30min, the upper limit of the charge voltage is 4.2V, and the lower limit of the discharge voltage is 3.65V, 3.0V, 2.75V or 2.5V, etc.
Preferably, in S3, when testing the pouch battery to be tested, F is the swelling force of the pouch battery to be tested at 100 cycles.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the conditions that the internal pressure of a soft package battery is increased and the expansion force is increased due to the fact that the soft package battery is subjected to the phenomena that an SEI film in the battery core is thickened, side reactions are increased, internal gas is generated, active substances are separated from a foil and the like along with the circulation, the inventor proposes that an N-delta F% curve is obtained by detecting the relation between the circulation period of the soft package battery to be detected and the expansion force change rate, the N-delta F% curve is compared with N-delta F% standard curves of a plurality of standard soft package batteries, the circulation life of the standard soft package battery corresponding to 2N-delta F% standard curves adjacent to the N-delta F% curve of the soft package battery to be detected is the circulation life interval of the soft package battery to be detected, and therefore the circulation life of the soft package battery to be detected;
2. the testing method is simple to operate, complex algorithms and data fitting are not needed, the soft package battery to be tested does not need to be circulated for a long time, the number of the circulation cycles of the soft package battery to be tested is less than or equal to 500 weeks, an N-delta F% curve is obtained, the N-delta F% curve can be compared with an N-delta F% standard curve, a circulation period interval is predicted, the circulation performance can be evaluated in a short time, the testing time is greatly saved, the testing cost is reduced, and the product research and development period is shortened;
3. the testing conditions of the soft package battery to be tested and the standard soft package battery are completely consistent, the cycle life is obtained by comparing a plurality of N-delta F% standard curves of a similar chemical system with the N-delta F% curve of the soft package battery to be tested, and the testing result has higher accuracy and practical applicability than a theoretical model; and according to the principle that the slope of the N-delta F% curve is inversely related to the cycle performance, the excellence of the cycle performance of each battery cell can be predicted.
Drawings
Figure 1 is a standard curve of N- Δ F% for 6 standard pouch cells.
Figure 2 is a standard N-C% curve for 6 standard pouch cells.
Fig. 3 is an N- Δ F% standard curve of the pouch battery to be tested and 6 standard pouch batteries.
Fig. 4 is an N-C% standard curve of the pouch battery to be tested and 6 standard pouch batteries.
Detailed Description
The technical solution of the present invention will be described in detail below with reference to specific examples.
Example 1
A test method for predicting the cycle performance of a soft package battery comprises the following steps:
s1, taking standard soft package batteries with cycle lives of 500 weeks, 800 weeks, 1000 weeks, 1200 weeks, 1500 weeks and 1800 weeks respectively, discharging the standard soft package batteries to empty power, and standing for 30min to balance the temperature of the standard soft package batteries; then placing the standard soft package battery in an expansion force testing device, adjusting the initial constraint force F0 to be 100kgf to fix the standard soft package battery, standing for 1h, starting a cycle performance test, and detecting the expansion force of the standard soft package battery in the cycle process, wherein the cycle number is recorded as N, and the expansion force of the standard soft package battery at each cycle of 100 cycles is recorded as F;
the testing temperature of the cycle performance test is 23-27 ℃, the charging and discharging voltage range is 3.0-4.2V, the charging and discharging multiplying power is 1C, the cutoff current is 0.05C, the charging and discharging interval standing time is 30min, and the detection is stopped after the cycle is performed for N weeks until the capacity retention rate of the soft package battery is lower than 80%;
s2, calculating the expansion force change rate
Figure BDA0002622983250000041
Taking the cycle number N as an abscissa and the expansion force change rate delta F% as an ordinate to obtain 6N-delta F% standard curves (figure 1);
calculated capacity retention
Figure BDA0002622983250000042
Wherein C0 is the initial capacity of the standard soft package battery, and C is the capacity of the standard soft package battery at 100 weeks per cycle; taking the cycle number N as an abscissa and the capacity retention rate C% as an ordinate to obtain m N-C% standard curves (figure 2);
s3, obtaining an N-delta F% curve of the soft package battery to be tested according to the operation in S1 and S2;
s4, comparing the N-delta F% curve of the soft package battery to be tested with 6N-delta F% standard curves (figure 3), and comparing the N-C% curve of the soft package battery to be tested with 6N-C% standard curves (figure 4); and the cycle life of the standard soft package battery corresponding to the 2N-delta F% standard curves adjacent to the N-delta F% curve of the soft package battery to be tested is the cycle life interval of the soft package battery to be tested.
Fig. 3 shows that the cycle period range of the pouch battery to be tested is 500-800 weeks, and fig. 4 shows that the actual cycle trend of the pouch battery to be tested is 700 weeks, and the predicted value is consistent with the actual measurement value.
It can be seen from FIGS. 3 and 4 that the N-C% curve shows a significant circulation trend after 500 weeks of circulation, but the N- Δ F% curve shows a significant circulation trend at less than 300 weeks, illustrating the feasibility of the process of the present invention.
In fig. 1-4, 500, 800, 1000, 1200, 1500, 1800 refer to standard pouch cells with cycle life of 500, 800, 1000, 1200, 1500, 1800 weeks, respectively; the evaluation sample refers to the soft package battery to be tested.
Table 1 shows the results of the capacity retention rate C% corresponding to 100 weeks per cycle for the standard pouch battery (standard sample) and the pouch battery to be tested (evaluation sample).
TABLE 1
Figure BDA0002622983250000051
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (8)

1. A test method for predicting the cycle performance of a soft package battery is characterized by comprising the following steps:
s1, taking m standard soft package batteries, discharging the standard soft package batteries to empty power, and standing to balance the temperature of the standard soft package batteries; then adjusting the initial constraint force F0 to fix the standard soft package battery in an expansion force testing device, performing cycle performance test on the standard soft package battery, and detecting the expansion force of the standard soft package battery in the cycle process, wherein the cycle number is recorded as N, and the expansion force of the standard soft package battery at each cycle of 100 cycles is recorded as F;
s2, calculating the expansion force change rate
Figure FDA0002622983240000011
Taking the cycle number N as an abscissa and the expansion force change rate delta F% as an ordinate to obtain m standard curves of N-delta F%;
s3, obtaining an N-delta F% curve of the soft package battery to be tested according to the operation in S1 and S2;
s4, comparing the N-delta F% curve of the soft package battery to be tested with the m N-delta F% standard curves, wherein the cycle life of the standard soft package battery corresponding to the 2N-delta F% standard curves adjacent to the N-delta F% curve of the soft package battery to be tested is the cycle life interval of the soft package battery to be tested.
2. The test method for predicting the cycle performance of the pouch battery according to claim 1, wherein the cycle lives of the m standard pouch batteries are different and are distributed in a gradient manner in S1.
3. The test method for predicting the cycle performance of the pouch battery according to claim 1 or 2, wherein m.gtoreq.2 in S1.
4. The test method for predicting the cycle performance of pouch batteries according to any one of claims 1 to 3, wherein the standard pouch battery temperature is equilibrated by standing for 30min in S1.
5. The test method for predicting the cycle performance of pouch batteries according to any one of claims 1 to 4, wherein the initial restraining force F0 is adjusted to fix the standard pouch battery in the swelling force test device at S1, and after standing for 1 hour, the cycle performance of the standard pouch battery is tested and the swelling force of the standard pouch battery is measured during the cycle.
6. The test method for predicting the cycle performance of the pouch battery according to claim 5, wherein in S3, the pouch battery to be tested has the same initial binding force F0 as the standard pouch battery.
7. The test method for predicting the cycle performance of the pouch battery according to any one of claims 1 to 6, wherein in S3, the pouch battery to be tested and the standard pouch battery have the same detection conditions in the cycle performance test.
8. The test method for predicting the cycle performance of the pouch battery according to any one of claims 1 to 7, wherein in S3, F is the swelling force of the pouch battery to be tested at 100 cycles when the pouch battery to be tested is tested.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113985293A (en) * 2021-10-26 2022-01-28 远景动力技术(江苏)有限公司 Lithium ion battery expansion rate prediction method and device, electronic device and storage medium
CN116577679A (en) * 2023-07-12 2023-08-11 苏州精控能源科技有限公司 Thermal runaway early warning method and system for large energy storage battery, electronic equipment and medium

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002525794A (en) * 1998-09-15 2002-08-13 アライドシグナル・インコーポレイテッド Apparatus and method for determining the capacity of a nickel cadmium battery
CN105808914A (en) * 2014-12-31 2016-07-27 北京航天测控技术有限公司 Method and device for predicting life of satellite lithium ion battery
CN106680726A (en) * 2016-12-22 2017-05-17 力神动力电池系统有限公司 Method for examining cycle performance of lithium ion battery
CN107748338A (en) * 2017-12-07 2018-03-02 力信(江苏)能源科技有限责任公司 The detection means and appraisal procedure of a kind of cycle life of lithium ion battery
CN109061478A (en) * 2018-06-14 2018-12-21 深圳市比克动力电池有限公司 A method of it is tested using EIS and carries out lithium ion battery service life qualitative forecasting
CN109655186A (en) * 2018-12-30 2019-04-19 惠州亿纬锂能股份有限公司 A kind of test method of battery modules expansive force
CN110224192A (en) * 2019-05-30 2019-09-10 安徽巡鹰新能源科技有限公司 A kind of echelon utilizes power battery life-span prediction method
CN110261791A (en) * 2019-07-22 2019-09-20 天能电池集团股份有限公司 A kind of battery group cycle life fast appraisement method
CN110988718A (en) * 2019-12-20 2020-04-10 荣盛盟固利新能源科技有限公司 Test system and method for measuring expansion stress of lithium ion battery

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002525794A (en) * 1998-09-15 2002-08-13 アライドシグナル・インコーポレイテッド Apparatus and method for determining the capacity of a nickel cadmium battery
CN105808914A (en) * 2014-12-31 2016-07-27 北京航天测控技术有限公司 Method and device for predicting life of satellite lithium ion battery
CN106680726A (en) * 2016-12-22 2017-05-17 力神动力电池系统有限公司 Method for examining cycle performance of lithium ion battery
CN107748338A (en) * 2017-12-07 2018-03-02 力信(江苏)能源科技有限责任公司 The detection means and appraisal procedure of a kind of cycle life of lithium ion battery
CN109061478A (en) * 2018-06-14 2018-12-21 深圳市比克动力电池有限公司 A method of it is tested using EIS and carries out lithium ion battery service life qualitative forecasting
CN109655186A (en) * 2018-12-30 2019-04-19 惠州亿纬锂能股份有限公司 A kind of test method of battery modules expansive force
CN110224192A (en) * 2019-05-30 2019-09-10 安徽巡鹰新能源科技有限公司 A kind of echelon utilizes power battery life-span prediction method
CN110261791A (en) * 2019-07-22 2019-09-20 天能电池集团股份有限公司 A kind of battery group cycle life fast appraisement method
CN110988718A (en) * 2019-12-20 2020-04-10 荣盛盟固利新能源科技有限公司 Test system and method for measuring expansion stress of lithium ion battery

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
王中旭: "锂离子软包电池容量衰减和厚度膨胀预测方法研究", 《广东化工》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113985293A (en) * 2021-10-26 2022-01-28 远景动力技术(江苏)有限公司 Lithium ion battery expansion rate prediction method and device, electronic device and storage medium
CN113985293B (en) * 2021-10-26 2023-12-12 远景动力技术(江苏)有限公司 Lithium ion battery expansion rate prediction method and device, electronic equipment and storage medium
CN116577679A (en) * 2023-07-12 2023-08-11 苏州精控能源科技有限公司 Thermal runaway early warning method and system for large energy storage battery, electronic equipment and medium
CN116577679B (en) * 2023-07-12 2023-09-12 苏州精控能源科技有限公司 Thermal runaway early warning method and system for large energy storage battery, electronic equipment and medium

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