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CN113791352A - Battery testing method based on capacity dispersion - Google Patents

Battery testing method based on capacity dispersion Download PDF

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CN113791352A
CN113791352A CN202111092911.8A CN202111092911A CN113791352A CN 113791352 A CN113791352 A CN 113791352A CN 202111092911 A CN202111092911 A CN 202111092911A CN 113791352 A CN113791352 A CN 113791352A
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capacity
test
channel
scatter
range
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CN113791352B (en
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肖映宏
李永玉
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Shenzhen Xinweier Electronics Co Ltd
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Shenzhen Xinweier Electronics Co Ltd
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    • 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]
    • G01R31/367Software therefor, e.g. for battery testing using modelling or look-up tables
    • 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
    • G01R31/3865Arrangements for measuring battery or accumulator variables related to manufacture, e.g. testing after manufacture

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Secondary Cells (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a battery testing method based on capacity dispersion, which comprises the steps of firstly setting a capacity dispersion sample amount on a battery testing system, clicking on the battery testing system to start testing, then judging whether the testing is the first testing of a channel after the testing is finished, judging whether the battery testing system reaches the set sample amount according to the capacity dispersion testing, if the battery testing system reaches the set sample amount according to the capacity dispersion testing, calculating a capacity dispersion point according to a formula, and after the capacity dispersion point is calculated, automatically setting a protection condition and automatically locking the channel by the battery testing system according to the calculated capacity dispersion point, and has the advantages that: the problem of equipment in the in-service use process, because power equipment precision has the discreteness between the different passageways and leads to the test result uniformity effect good to realize carrying out Sigma calculation with the sample size and obtaining that the channel capacity scatter reaches the sample size after according to capacity scatter automatic calculation protective limit value is solved.

Description

Battery testing method based on capacity dispersion
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of battery detection, in particular to a battery testing method based on capacity dispersion.
[ background of the invention ]
The battery performance test runs through the battery production process flow and is important for the production process of the battery. The battery performance test result comprises a large amount of original capacity test data, a user needs to check the original capacity test data in the test software, and the quality of the battery performance is determined according to the original capacity test data.
Equipment is in the in-service use in-process, because of the precision has the discreteness between the different passageways of equipment, the not good passageway of discreteness in the unable quick recognition anchor clamps leads to electric core test result uniformity effect poor.
[ summary of the invention ]
The invention aims to solve the problems that the precision discreteness among the current battery core testing channels is poor, and the consistency effect of the battery core testing result is poor, and provides a novel battery testing method based on capacity discreteness.
The invention is realized by the following technical scheme:
a battery testing method based on capacity dispersion comprises the following steps:
s1: setting a capacity discrete sample amount on a battery detection system;
s2: clicking on the battery test system to start the test according to step S1;
s3: judging whether the test is the first test of the channel or not after the test is finished according to the step S2, and if the test is the first start test, counting again; if the test is not started for the first time, judging whether the test and the previous test of the channel are tested in the same batch, if not, counting the test times again from the test, if so, detecting the test cells in the same batch to determine whether the set number of samples is reached;
s4: and judging whether the battery detection system reaches the set sample number according to the capacity dispersion test in the step S3: if the battery detection system does not reach the set number of samples according to the capacity dispersion test, the capacity dispersion point is not calculated, and the steps S2 and S3 are executed again in the next test; if the battery detection system achieves the set sample number according to the capacity dispersion test, calculating capacity dispersion points according to a formula;
s5: after the capacity scatter is calculated in step S4, the battery detection system automatically sets a protection condition and automatically locks the channel according to the calculated capacity scatter.
Further, the formula for calculating the capacity scatter point is as follows:
Figure BDA0003268224810000021
where σ is expressed as Sigma, the calculation formula: the square root is calculated by adding the number of samples to the square of the difference between the measured value and the mean value ÷ the number of samples.
Further, the step S5 of automatically setting the protection condition according to the calculated capacity scatter includes the following steps:
1) clicking to start testing;
2) when the test is carried out, calculating a normal voltage range according to the capacity scatter, and testing by taking the voltage range as a protection condition;
3) according to whether the voltage is in the range in the test process in the step 2), if the voltage is not in the range in the test process, protecting the channel; and if the voltage is within the range in the test process, normally testing.
Further, the voltage range includes an upper voltage limit, a lower voltage limit, the upper voltage limit being an upper limit (mean value) + Sigma N, where the upper limit (mean value) is an average of all sample specified step maximum voltages; the lower voltage limit (mean value) -Sigma N, where the lower limit (mean value) is the average of all samples specified step minimum voltages.
Further, the lower limit (mean value) -Sigma N, where N is an empirical value summarized for multiple tests.
Further, the step S5 of automatically locking the channel according to the calculated capacity scatter includes the following steps:
1) clicking to start testing;
2) detecting whether the channel is locked, and if the channel is locked, terminating the test flow; if the channel is not locked, performing a charge and discharge test according to the flow until the flow is finished;
3) calculating a normal capacity range according to the capacity scatter;
4) whether the test capacity range in the step 3) is in a scatter range or not; and if the test capacity range is not in the scatter range, locking the channel.
Further, the capacity range calculated according to the capacity scatter in the step 3) comprises a capacity upper limit and a capacity lower limit; the upper capacity limit (mean value) + Sigma N, where the upper limit (mean value) is the average of the maximum capacities of all sample designated steps; the lower limit of capacity (mean value) -Sigma N, where the lower limit (mean value) is the average of all samples specified step minimum capacity.
Further, the lower limit (mean value) -Sigma N, where N is an empirical value summarized for multiple tests.
The invention has the beneficial effects that:
(1) the problem that the consistency effect of the test result is good due to the fact that precision of different channels of power supply equipment has discreteness in the actual use process of the equipment is solved, and channel capacity scatter points are obtained by carrying out Sigma calculation on the sample size;
(2) the battery detection system takes the battery core test capacity data as sample volume for statistics, calculates the capacity dispersion point according to a Sigma formula after the capacity dispersion point reaches the sample volume, automatically calculates the protection limit value according to the capacity dispersion point, protects the channel exceeding the calculated protection limit value in the test process, automatically calculates the capacity limit value according to the capacity dispersion point, and locks the channel exceeding the capacity limit value after the test is finished.
[ description of the drawings ]
FIG. 1 is a schematic flow chart of a battery testing method based on capacity dispersion according to the present invention;
FIG. 2 is a schematic diagram of a capacity dispersion-based battery testing method according to the present invention;
FIG. 3 is a schematic diagram of the present invention for automatically setting protection conditions;
FIG. 4 is a schematic view of the automatic locking channel of the present invention.
[ detailed description ] embodiments
The invention is further described with reference to the accompanying drawings and the detailed description:
as shown in fig. 1 and 2, a battery testing method based on capacity dispersion includes the following steps:
s1: setting a capacity discrete sample amount on a battery detection system;
s2: clicking on the battery test system to start the test according to step S1;
s3: judging whether the test is the first test of the channel or not after the test is finished according to the step S2, and if the test is the first start test, counting again; if the test is not started for the first time, judging whether the test and the previous test of the channel are tested in the same batch, if not, counting the test times again from the test, if so, detecting the test cells in the same batch to determine whether the set number of samples is reached;
s4: and judging whether the battery detection system reaches the set sample number according to the capacity dispersion test in the step S3: if the battery detection system does not reach the set number of samples according to the capacity dispersion test, the capacity dispersion point is not calculated, and the steps S2 and S3 are executed again in the next test; if the battery detection system achieves the set sample number according to the capacity dispersion test, calculating capacity dispersion points according to a formula;
s5: after the capacity scatter is calculated in step S4, the battery detection system automatically sets a protection condition and automatically locks the channel according to the calculated capacity scatter.
Preferably, the formula for calculating the capacity scatter is as follows:
Figure BDA0003268224810000041
wherein Sigma calculated formula: the square root is calculated by adding the number of samples to the square of the difference between the measured value and the mean value ÷ the number of samples.
As shown in fig. 3, the step S5 of automatically setting the protection condition according to the calculated capacity scatter includes the following steps:
1) clicking to start testing;
2) when the test is carried out, calculating a normal voltage range according to the capacity scatter, and testing by taking the voltage range as a protection condition;
3) according to whether the voltage is in the range in the test process in the step 2), if the voltage is not in the range in the test process, protecting the channel; and if the voltage is within the range in the test process, normally testing.
Preferably, the voltage range includes an upper voltage limit, a lower voltage limit, the upper voltage limit being an upper limit (mean value) + Sigma N, wherein the upper limit (mean value) is an average of all sample specified step maximum voltages; the lower voltage limit (mean value) -Sigma N, where the lower limit (mean value) is the average of all samples specified step minimum voltages.
Preferably, the lower limit (mean value) -Sigma N, where N is an empirical value summarized in multiple tests, typically 3Sigma or 4 Sigma.
As shown in fig. 4, the step S5 of automatically locking the channel according to the calculated capacity scatter includes the following steps:
1) clicking to start testing;
2) detecting whether the channel is locked, and if the channel is locked, terminating the test flow; if the channel is not locked, performing a charge and discharge test according to the flow until the flow is finished;
3) calculating a normal capacity range according to the capacity scatter;
4) whether the test capacity range in the step 3) is in a scatter range or not; and if the test capacity range is not in the scatter range, locking the channel.
Preferably, the calculating the capacity range according to the capacity scatter in the step 3) includes an upper capacity limit and a lower capacity limit; the upper capacity limit (mean value) + Sigma N, where the upper limit (mean value) is the average of the maximum capacities of all sample designated steps; the lower limit of capacity (mean value) -Sigma N, where the lower limit (mean value) is the average of all samples specified step minimum capacity.
Preferably, the lower limit (mean value) -Sigma N, where N is an empirical value summarized in multiple tests, typically 3Sigma or 4 Sigma.
Appropriate changes and modifications to the embodiments described above will become apparent to those skilled in the art from the disclosure and teachings of the foregoing description. Therefore, the present invention is not limited to the specific embodiments disclosed and described above, and some modifications and variations of the present invention should fall within the scope of the claims of the present invention. Furthermore, although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.

Claims (8)

1. A battery testing method based on capacity dispersion is characterized by comprising the following steps:
s1: setting a capacity discrete sample amount on a battery detection system;
s2: clicking on the battery test system to start the test according to step S1;
s3: judging whether the test is the first test of the channel or not after the test is finished according to the step S2, and if the test is the first start test, counting again; if the test is not started for the first time, judging whether the test and the previous test of the channel are tested in the same batch, if not, counting the test times again from the test, if so, detecting the test cells in the same batch to determine whether the set number of samples is reached;
s4: and judging whether the battery detection system reaches the set sample number according to the capacity dispersion test in the step S3: if the battery detection system does not reach the set number of samples according to the capacity dispersion test, the capacity dispersion point is not calculated, and the steps S2 and S3 are executed again in the next test; if the battery detection system achieves the set sample number according to the capacity dispersion test, calculating capacity dispersion points according to a formula;
s5: after the capacity scatter is calculated in step S4, the battery detection system automatically sets a protection condition and automatically locks the channel according to the calculated capacity scatter.
2. The discrete-capacity-based battery testing method of claim 1, wherein: the formula for calculating the dispersion point of the capacity is as follows:
Figure FDA0003268224800000011
where σ is expressed as Sigma, the calculation formula: the square root is calculated by adding the number of samples to the square of the difference between the measured value and the mean value ÷ the number of samples.
3. The discrete-capacity-based battery testing method of claim 1, wherein: the step S5 of automatically setting the protection conditions according to the calculated capacity scatter includes the following steps:
1) clicking to start testing;
2) when the test is carried out, calculating a normal voltage range according to the capacity scatter, and testing by taking the voltage range as a protection condition;
3) according to whether the voltage is in the range in the test process in the step 2), if the voltage is not in the range in the test process, protecting the channel; and if the voltage is within the range in the test process, normally testing.
4. The discrete-capacity-based battery testing method of claim 3, wherein: the voltage range includes an upper voltage limit (mean value) + Sigma N, which is the average of the maximum voltages of all sample specified steps; the lower voltage limit (mean value) -Sigma N, where the lower limit (mean value) is the average of all samples specified step minimum voltages.
5. The discrete-capacity-based battery testing method of claim 4, wherein: the lower limit (mean value) -Sigma N, where N is the empirical value summarized for multiple tests.
6. The discrete-capacity-based battery testing method of claim 1, wherein: the step S5 of automatically locking the channel according to the calculated capacity scatter includes the following steps:
1) clicking to start testing;
2) detecting whether the channel is locked, and if the channel is locked, terminating the test flow; if the channel is not locked, performing a charge and discharge test according to the flow until the flow is finished;
3) calculating a normal capacity range according to the capacity scatter;
4) whether the test capacity range in the step 3) is in a scatter range or not; and if the test capacity range is not in the scatter range, locking the channel.
7. The discrete-capacity-based battery testing method of claim 6, wherein: calculating a capacity range including a capacity upper limit and a capacity lower limit according to the capacity scatter in the step 3); the upper capacity limit (mean value) + Sigma N, where the upper limit (mean value) is the average of the maximum capacities of all sample designated steps; the lower limit of capacity (mean value) -Sigma N, where the lower limit (mean value) is the average of all samples specified step minimum capacity.
8. The discrete-capacity-based battery testing method of claim 7, wherein: the lower limit (mean value) -Sigma N, where N is the empirical value summarized for multiple tests.
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