CN113009347A - Method and device for setting power of battery at end of life stage and related product - Google Patents
Method and device for setting power of battery at end of life stage and related product Download PDFInfo
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The application discloses a method and a device for setting power of a battery at an end-of-life stage and a related product. The method comprises the following steps: screening out a reference cell with the durability performance worse than the average level from a plurality of cells of the target battery; carrying out durability test on the reference battery cell, and measuring the power and the internal resistance of the reference battery cell in a test stage to obtain internal resistance change data and power change data before the reference battery cell reaches a life termination stage; and obtaining the power deviation of the reference battery cell by using the internal resistance change data and the power change data, and obtaining the predicted power of the reference battery cell at the service life ending stage by using the internal resistance change data. The method makes up the problem that the accuracy of the predicted power is insufficient relative to the actual power at the EOL stage of the reference battery cell. And setting the EOL power of the target battery based on the corrected EOL power of the reference battery cell, and compared with the prior art, improving the accuracy of the set EOL power.
Description
Technical Field
The present disclosure relates to the field of battery technologies, and in particular, to a method and an apparatus for setting power at an end of life stage of a battery, and a related product.
Background
The power of the battery cells decreases with increasing duration of use. If the battery cell is used at the later stage of the battery cell according to the power of the initial Life (BOL), potential safety hazards are easy to generate. In order to safely use the Battery, it is necessary to set a maximum value and a minimum value of power in a Battery Management System (BMS), wherein the maximum value of power corresponds to the power of the BOL and the minimum value of power corresponds to the End of Life (EOL) power of the Battery.
Currently, the EOL power is generally set after estimation through an empirical value of a battery cell or a typical value of the battery cell. The estimated EOL power has a large deviation from the real situation, so the accuracy of the set EOL power is insufficient, and the effective use of the battery cell is affected.
Disclosure of Invention
Based on the above problems, the present application provides a method and an apparatus for setting power at an end of life stage of a battery, and a related product, so as to improve accuracy of the set EOL power.
The embodiment of the application discloses the following technical scheme:
in a first aspect, the present application provides a method for setting power of a battery at an end-of-life stage, including:
screening out a reference cell from a plurality of cells of a target battery, wherein the durability of the reference cell is lower than an average level;
carrying out durability test on the reference battery cell, and measuring the power and the internal resistance of the reference battery cell in a test stage to obtain internal resistance change data and power change data before the reference battery cell reaches a life termination stage;
obtaining a power deviation of the reference battery cell by using the internal resistance change data and the power change data;
obtaining the predicted power of the reference battery cell at the service life termination stage by using the internal resistance change data;
and correcting the predicted power by using the power deviation, and setting the corrected power as the power of the end-of-life stage of the target battery.
Optionally, the obtaining the power deviation of the reference battery cell by using the internal resistance change data and the power change data includes:
a first power change curve of the reference battery cell is obtained through estimation according to the internal resistance change data, and a second power change curve of the reference battery cell is formed according to the power change data;
and obtaining the power deviation of the reference battery cell according to the first power change curve and the second power change curve.
Optionally, the obtaining of the first change curve of the power of the reference battery cell according to the estimated internal resistance change data includes:
estimating the power of the reference battery cell before the reference battery cell reaches the end-of-life stage according to the internal resistance change data and the relation between the internal resistance and the power to obtain power estimation data corresponding to the internal resistance change data;
and fitting the power estimation data to form a first power change curve of the reference battery cell.
Optionally, the obtaining the predicted power of the reference cell at the end-of-life stage by using the internal resistance change data includes:
predicting the internal resistance of the reference battery cell at the service life termination stage according to the internal resistance increase rate of the internal resistance change data;
and obtaining the predicted power of the reference battery cell at the end-of-life stage according to the predicted internal resistance of the reference battery cell at the end-of-life stage and the relationship between the internal resistance and the power.
Optionally, the performing an endurance test on the reference cell, and measuring the power and the internal resistance of the reference cell in a test stage includes:
and carrying out a circulation experiment test or a storage experiment test on the reference battery cell, and carrying out a hybrid power pulse capability characteristic (HPPC) test on the reference battery cell at intervals in a test stage.
Optionally, the screening out a reference cell from a plurality of cells of the target battery includes:
obtaining capacity normal distribution data of the plurality of battery cells and internal resistance normal distribution data of the plurality of battery cells;
screening out the capacity distribution in mu according to the capacity normal distribution data1-3σ1Screening out the internal resistance distribution in mu according to the internal resistance normal distribution data by the following first battery cell set2+3σ2The second cell set above; the mu1And the sigma1Respectively representing the mean value and the standard deviation of the capacity normal distribution data; the mu2And the sigma2Respectively representing the mean value and the standard deviation of the internal resistance normal distribution data;
and taking the superposed cells in the first cell set and the second cell set as the reference cells.
In a second aspect, the present application provides a device for setting power of a battery in an end-of-life stage, including:
the screening module is used for screening out a reference battery cell from a plurality of battery cells of a target battery, wherein the durability of the reference battery cell is lower than the average level;
the test module is used for carrying out durability test on the reference battery cell, measuring the power and the internal resistance of the reference battery cell in a test stage, and obtaining internal resistance change data and power change data before the reference battery cell reaches a service life termination stage;
the power deviation calculation module is used for obtaining the power deviation of the reference battery cell by using the internal resistance change data and the power change data;
the EOL power prediction module is used for obtaining the predicted power of the reference battery cell at the end of life stage by using the internal resistance change data;
the correction module is used for correcting the predicted power by using the power deviation;
and the setting module is used for setting the corrected power as the power of the service life end stage of the target battery.
Optionally, the power deviation calculating module includes:
a curve first forming unit, configured to obtain a first power change curve of the reference cell according to the internal resistance change data by prediction;
a second curve forming unit, configured to form a second power variation curve of the reference cell according to the power variation data;
and the power deviation calculation unit is used for obtaining the power deviation of the reference battery cell according to the first power variation curve and the second power variation curve.
In a third aspect, the present application provides a device for setting power of a battery in an end-of-life stage, including a processor and a memory; the memory is used for storing a computer program; the processor is configured to execute the method for setting the power of the end-of-life stage of the battery according to the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium for storing a computer program, which when executed by a processor performs the method for setting the power of the end-of-life stage of the battery as provided in the first aspect.
Compared with the prior art, the method has the following beneficial effects:
the method for setting the power of the battery at the end of life stage comprises the following steps: screening out a reference cell with the durability performance worse than the average level from a plurality of cells of the target battery; carrying out durability test on the reference battery cell, and measuring the power and the internal resistance of the reference battery cell in a test stage to obtain internal resistance change data and power change data before the reference battery cell reaches a life termination stage; and obtaining the power deviation of the reference battery cell by using the internal resistance change data and the power change data, and obtaining the predicted power of the reference battery cell at the service life ending stage by using the internal resistance change data. Because the predicted power is obtained by prediction according to the internal resistance change data, and the accuracy of the predicted power is insufficient compared with the actually-measured power, the previously obtained power deviation can be used for correcting the predicted power, and the problem that the accuracy of the predicted power is insufficient relative to the actual power at the EOL stage of the reference battery cell is solved. The performance of the battery in the whole vehicle depends on the battery core with poor durability, and the EOL power of the target battery is set on the basis of the corrected EOL power of the reference battery core because the durability of the reference battery core is poor than the average level.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a flowchart of a method for setting power at an end-of-life stage of a battery according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a first power curve and a second power curve;
FIG. 3 is a schematic illustration of another first power curve and a second power curve;
fig. 4 is a schematic diagram of predicted power of a reference cell at an EOL stage;
fig. 5 is a schematic structural diagram of a device for setting power at an end-of-life stage of a battery according to an embodiment of the present disclosure.
Detailed Description
As described previously, the EOL power of a battery is currently typically set according to the EOL power of a typical cell (generally referring to an average cell). Because the performance of the whole vehicle under some working conditions depends on the electric core with poor durability, the setting of the EOL power of the battery according to a typical electric core is often not matched with the real use scene, the accuracy is not enough, and the use effect of the battery is poor after the EOL power is set.
In order to solve the above problems, the inventors have studied and provided a method and an apparatus for setting the power of the end-of-life stage of a battery, and a related product. In the technical scheme of the application, the EOL power of the battery is set according to the test performance of the reference battery cell with the endurance performance worse than the average level, so that the set EOL power is more accurate than the EOL power set according to a typical battery cell. In addition, before the EOL power is set, the EOL power of the reference cell predicted by the internal resistance is corrected by combining the predicted power and the actual measured power according to the internal resistance, so that the set EOL power is closer to the true power value. This also further improves the accuracy of the set battery EOL power.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Method embodiment
Referring to fig. 1, the figure is a flowchart of a method for setting power at an end-of-life stage of a battery according to an embodiment of the present application. As shown in fig. 1, the method for setting the EOL power of the battery includes:
step 101: and screening out a reference cell from a plurality of cells of the target battery, wherein the durability of the reference cell is lower than the average level.
The durability of the reference cell is generally related to the capacity and internal resistance of the cell when it leaves the factory. Generally speaking, in a batch of cells with the same specification, the lower the capacity of the cell, the higher the internal resistance, and the worse the endurance performance of the cell produced in the same batch. Therefore, when selecting the reference cell, selection may be performed according to the capacity and the internal resistance of the cell.
When the step is specifically implemented, the reference cell can be screened out according to a preset screening standard. As an example, the screening criteria are that the factory cell has the smallest capacity and the largest internal resistance.
As another example, the screening criteria is the 3-fold standard deviation rule for normal distributions. For normally distributed data, if the value is below the difference between the standard deviation and 3 times the standard deviation, or above the sum of the standard deviation and 3 times the standard deviation, it is generally considered that erroneous data should be rejected. In a specific implementation of this example:
obtaining capacity normal distribution data of a plurality of battery cells and internal resistance normal distribution data of the plurality of battery cells; screening out the capacity distribution on mu according to the capacity normal distribution data1-3σ1Screening out the internal resistance distribution on mu according to the internal resistance normal distribution data by the following first battery cell set2+3σ2The second cell set above; mu.s1And σ1Respectively representing the mean value and the standard deviation of the volume normal distribution data; mu.s2And σ2Respectively is the mean value and the standard deviation of the normal distribution data of the internal resistance. If a cell is included in both the first and second sets of cells, this indicates that the cell has a durability much worse than that of a typical cell, i.e., a durability worse than average. At this time, the cells overlapped in the first cell set and the second cell set may be used as reference cells.
Step 102: and carrying out durability test on the reference battery cell, and measuring the power and the internal resistance of the reference battery cell in a test stage to obtain internal resistance change data and power change data before the reference battery cell reaches the end-of-life stage.
Current means of endurance testing include a variety of. Such as testing to perform cycling experiments or storage experiments. During the endurance test, the power and the internal resistance of the battery cell may change continuously as the battery cell is used. In order to accurately monitor the change, power measurement and internal resistance measurement may be performed periodically or aperiodically during the test period.
During measurement, the endurance test can be stopped, and the endurance test can be continued after the completion of a single measurement. As an example, 2000 cycles of experiments are required before the reference cell reaches EOL. The Hybrid Pulse Power Charateristic (HPPC) test was stopped at an interval of 200 cycles as a test phase. Since the HPPC test belongs to a relatively mature technology in the field of battery testing, it is not described herein too much. After one round of HPPC testing, the last 200 cycles were continued. The above-mentioned steps can obtain 10 groups of power data and 10 groups of internal resistance data. The power data and the internal resistance data present a certain variation trend in the testing process, which is not fixed and constant, so the power data obtained by the HPPC test is hereinafter referred to as power variation data, and the internal resistance data obtained by the HPPC test is referred to as internal resistance variation data. It should be noted that the manner of actually measuring the power and the internal resistance of the reference battery during the endurance test is not limited to the HPPC test. The measurement method is not particularly limited.
Step 103: and obtaining the power deviation of the reference battery cell by using the internal resistance change data and the power change data.
As a possible implementation manner of this step, since the internal resistance of the battery cell is associated with the power, the internal resistance change data obtained in step 102 may be used as a basis for estimating the power change at a corresponding time to the estimated data, so as to form a power curve of the reference battery cell estimated from the internal resistance change data. For the sake of convenience of distinction, in the embodiment of the present application, the power curve estimated and formed by the internal resistance change data is referred to as a first power change curve.
The internal resistance of the battery cell and the power have an incidence relation, and the incidence relation can be obtained through pre-calibration. The internal resistance is inversely proportional to the power. To obtain the first power profile, this procedure may comprise in particular: the method includes the following steps of obtaining a first power change curve of a reference battery cell according to internal resistance change data in an estimation mode:
and estimating the power before the reference battery cell reaches the end-of-life stage according to the internal resistance change data and the relation between the internal resistance and the power to obtain power estimation data corresponding to the internal resistance change data. These power estimates are scattered data points. The power estimation data is used for fitting, so that a curve can be formed and used as a first change curve of the power of the reference battery cell.
In addition, a series of power variation data is obtained in step 102, and these data can also be used to form a power variation curve, which is referred to as a second power variation curve in the embodiment of the present application for convenience of distinction. The horizontal axes of the first power change curve and the second power change curve are uniform and are both power; the vertical axes of the first power change curve and the second power change curve are uniform and are times or time.
On the basis of the two obtained power change curves, the power deviation of the reference cell can be obtained according to the two power change curves. As a possible implementation manner, the power deviation of the reference cell is obtained by correspondingly subtracting the ordinate values of the first power variation curve and the second power variation curve.
Fig. 2 shows two curves, wherein curve s1 represents a first curve of the power and curve s2 represents a second curve of the power. In the example of fig. 2, for the curve s1 and the curve s2, the ordinate value of the curve s1 is larger than the ordinate value of the curve s2 when the abscissa is the same. It should be noted that, in the specific implementation, a case that the ordinate value of the curve s1 is smaller than the ordinate value of the curve s2 may also occur, as shown in fig. 3. In FIGS. 2 and 3, PBOLThe power of the reference cell in the BOL phase is indicated. The definition of entering the EOL phase may generally be determined according to the SOH of the cell. For example, when the current SOH of the reference cell is 80% of the SOH in the BOL stage, it is considered that the EOL stage is entered.
The first power change curve is estimated based on the internal resistance change data, the second power change curve is formed according to the actually measured power change data, and the estimated effect is different from the actual value, so that the power deviation of the reference battery cell obtained according to the first power change curve and the second power change curve represents the deviation of the estimated power from the actually measured power. The power deviation can be used for correcting the power of the reference electric core EOL stage predicted by the internal resistance, so that the corrected result is closer to the real measured value.
Step 104: and obtaining the predicted power of the reference battery cell at the end of life by using the internal resistance change data.
The internal resistance continuously changes in the endurance test process, and since a series of internal resistance change data are actually measured in step 102 in the early stage, the internal resistance at the EOL stage which is not actually measured can be predicted by combining the increase rate of the internal resistance change data. With the continuous accumulation of the internal resistance change data, the predicted internal resistance at the EOL stage gradually tends to be accurate. As mentioned above, reference is made to the internal resistance and power of the cellTherefore, it can be understood that the measured internal resistance change data and the predicted internal resistance in the EOL stage form an internal resistance curve, and a power curve is correspondingly obtained by combining the relationship between the internal resistance and the power based on the internal resistance curve. The power curve can be seen schematically as curve s1 and its extension shown in fig. 4. In fig. 4, the power predicted and estimated from the internal resistance based on the curve s1 is represented by the dashed extension of the curve s1, PEOLThe predicted power of the reference cell at the EOL stage is obtained by using the internal resistance change data.
Step 105: and correcting the predicted power by using the power deviation, and setting the corrected power as the power of the end-of-life stage of the target battery.
If the power deviation is obtained from the difference between the vertical coordinates of the curve s1 and the curve s2, the power deviation may be subtracted from the predicted power, and the resulting difference may be used as the corrected power. If the power deviation is obtained from the difference between the vertical coordinates of the curve s2 and the curve s1, the sum of the power deviation and the predicted power can be used as the corrected power.
The above is the method for setting the power at the end of life stage of the battery provided by the embodiment of the present application. The method comprises the following steps: screening out a reference cell with the durability performance worse than the average level from a plurality of cells of the target battery; carrying out durability test on the reference battery cell, and measuring the power and the internal resistance of the reference battery cell in a test stage to obtain internal resistance change data and power change data before the reference battery cell reaches a life termination stage; and obtaining the power deviation of the reference battery cell by using the internal resistance change data and the power change data, and obtaining the predicted power of the reference battery cell at the service life ending stage by using the internal resistance change data. Because the predicted power is obtained by prediction according to the internal resistance change data, and the accuracy of the predicted power is insufficient compared with the actually-measured power, the previously obtained power deviation can be used for correcting the predicted power, and the problem that the accuracy of the predicted power is insufficient relative to the actual power at the EOL stage of the reference battery cell is solved. The performance of the battery in the whole vehicle depends on the battery core with poor durability, and the EOL power of the target battery is set on the basis of the corrected EOL power of the reference battery core because the durability of the reference battery core is poor than the average level.
On the basis of the foregoing method embodiment, correspondingly, the present application embodiment further provides a device for setting the power of the battery at the end of life stage. The following describes a specific implementation of the apparatus with reference to the embodiments and the drawings.
Device embodiment
Referring to fig. 5, the diagram is a schematic structural diagram of a device for setting power at an end-of-life stage of a battery according to an embodiment of the present disclosure. As shown in fig. 5, the setting device 500 for the battery EOL power includes:
a screening module 501, configured to screen out a reference cell from a plurality of cells of a target battery, where durability of the reference cell is worse than an average level;
a test module 502, configured to perform an endurance test on the reference cell, and measure power and internal resistance of the reference cell in a test stage, so as to obtain internal resistance change data and power change data before the reference cell reaches a life termination stage;
a power deviation calculation module 503, configured to obtain a power deviation of the reference cell by using the internal resistance change data and the power change data;
an EOL power prediction module 504, configured to obtain, by using the internal resistance change data, a predicted power of the reference battery cell at a lifetime end stage;
a correction module 505, configured to correct the predicted power by using the power deviation;
a setting module 506, configured to set the corrected power as the power of the end-of-life stage of the target battery.
Because the predicted power is obtained by prediction according to the internal resistance change data, and the accuracy of the predicted power is insufficient compared with the actually-measured power, the previously obtained power deviation can be used for correcting the predicted power, and the problem that the accuracy of the predicted power is insufficient relative to the actual power at the EOL stage of the reference battery cell is solved. The performance of the battery in the whole vehicle depends on the battery core with poor durability, and the EOL power of the target battery is set on the basis of the corrected EOL power of the reference battery core because the durability of the reference battery core is poor than the average level.
Optionally, the power deviation calculating module 503 includes:
a curve first forming unit, configured to obtain a first power change curve of the reference cell according to the internal resistance change data by prediction;
a second curve forming unit, configured to form a second power variation curve of the reference cell according to the power variation data;
and the power deviation calculation unit is used for obtaining the power deviation of the reference battery cell according to the first power variation curve and the second power variation curve.
Optionally, the first curve forming unit is specifically configured to estimate, according to the internal resistance change data and the relationship between the internal resistance and the power, the power of the reference battery cell before the reference battery cell reaches the end-of-life stage, so as to obtain power estimation data corresponding to the internal resistance change data; and fitting the power estimation data to form a first power change curve of the reference battery cell.
Optionally, the EOL power prediction module 504 includes:
the internal resistance prediction unit is used for predicting the internal resistance of the reference battery cell at the service life termination stage according to the internal resistance increase rate of the internal resistance change data;
and the power prediction unit is used for obtaining the predicted power of the reference battery cell at the service life end stage according to the predicted internal resistance of the reference battery cell at the service life end stage and the relation between the internal resistance and the power.
Optionally, a test module 502, comprising;
the circulation test unit is used for carrying out circulation experiment test or storage experiment test on the reference electric core;
and the measurement unit is used for carrying out hybrid power pulse capability characteristic HPPC (Power Per second Power controller) test on the reference battery cell at intervals in a test stage.
Optionally, the screening module 501 includes:
the data acquisition unit is used for acquiring capacity normal distribution data of the plurality of battery cells and internal resistance normal distribution data of the plurality of battery cells;
a battery set acquisition unit for screening out the capacity distribution in mu according to the capacity normal distribution data1-3σ1Screening out the internal resistance distribution in mu according to the internal resistance normal distribution data by the following first battery cell set2+3σ2The second cell set above; the mu1And the sigma1Respectively representing the mean value and the standard deviation of the capacity normal distribution data; the mu2And the sigma2Respectively representing the mean value and the standard deviation of the internal resistance normal distribution data;
a reference cell determining unit, configured to use a cell that is overlapped in the first cell set and the second cell set as the reference cell.
According to the data acquisition unit, the battery set acquisition unit, and the reference cell determination unit, the screening module 501 can determine a cell with very poor durability as a reference cell from among the multiple cells of the target battery. Therefore, the EOL power which is more suitable for the performance of the whole battery car can be conveniently set, and the accuracy of EOL power setting is improved.
On the basis of the foregoing method embodiment and apparatus embodiment, the present application embodiment further provides a device for setting power of a battery end-of-life stage, where the device includes a processor and a memory; the memory is used for storing a computer program; the processor is configured to execute one or more steps of any one of the methods for setting battery end-of-life power as described in the method embodiments according to the computer program.
Furthermore, a computer-readable storage medium is provided in an embodiment of the present application, and is used for storing a computer program, where the computer program is executed by a processor to perform one or more steps of any one of the methods for setting battery end-of-life power as described in the method embodiment.
The above description is only one specific embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for setting power of a battery at an end-of-life stage is characterized by comprising the following steps:
screening out a reference cell from a plurality of cells of a target battery, wherein the durability of the reference cell is lower than an average level;
carrying out durability test on the reference battery cell, and measuring the power and the internal resistance of the reference battery cell in a test stage to obtain internal resistance change data and power change data before the reference battery cell reaches a life termination stage;
obtaining a power deviation of the reference battery cell by using the internal resistance change data and the power change data;
obtaining the predicted power of the reference battery cell at the service life termination stage by using the internal resistance change data;
and correcting the predicted power by using the power deviation, and setting the corrected power as the power of the end-of-life stage of the target battery.
2. The method of claim 1, wherein the obtaining the power deviation of the reference cell using the internal resistance variation data and the power variation data comprises:
a first power change curve of the reference battery cell is obtained through estimation according to the internal resistance change data, and a second power change curve of the reference battery cell is formed according to the power change data;
and obtaining the power deviation of the reference battery cell according to the first power change curve and the second power change curve.
3. The method of claim 2, wherein the estimating the first change curve of the power of the reference cell according to the internal resistance change data includes:
estimating the power of the reference battery cell before the reference battery cell reaches the end-of-life stage according to the internal resistance change data and the relation between the internal resistance and the power to obtain power estimation data corresponding to the internal resistance change data;
and fitting the power estimation data to form a first power change curve of the reference battery cell.
4. The method of claim 3, wherein the obtaining the predicted power of the reference cell at the end-of-life stage using the internal resistance change data comprises:
predicting the internal resistance of the reference battery cell at the service life termination stage according to the internal resistance increase rate of the internal resistance change data;
and obtaining the predicted power of the reference battery cell at the end-of-life stage according to the predicted internal resistance of the reference battery cell at the end-of-life stage and the relationship between the internal resistance and the power.
5. The method of claim 1, wherein the endurance testing the reference cell and measuring the power and the internal resistance of the reference cell during a testing phase comprises:
and carrying out a circulation experiment test or a storage experiment test on the reference battery cell, and carrying out a hybrid power pulse capability characteristic (HPPC) test on the reference battery cell at intervals in a test stage.
6. The method of claim 1, wherein the screening out the reference cell from the plurality of cells of the target battery comprises:
obtaining capacity normal distribution data of the plurality of battery cells and internal resistance normal distribution data of the plurality of battery cells;
screening out the capacity distribution in mu according to the capacity normal distribution data1-3σ1The following are providedThe first battery cell set screens out the internal resistance distribution mu according to the internal resistance normal distribution data2+3σ2The second cell set above; the mu1And the sigma1Respectively representing the mean value and the standard deviation of the capacity normal distribution data; the mu2And the sigma2Respectively representing the mean value and the standard deviation of the internal resistance normal distribution data;
and taking the superposed cells in the first cell set and the second cell set as the reference cells.
7. An apparatus for setting a power of an end-of-life stage of a battery, comprising:
the screening module is used for screening out a reference battery cell from a plurality of battery cells of a target battery, wherein the durability of the reference battery cell is lower than the average level;
the test module is used for carrying out durability test on the reference battery cell, measuring the power and the internal resistance of the reference battery cell in a test stage, and obtaining internal resistance change data and power change data before the reference battery cell reaches a service life termination stage;
the power deviation calculation module is used for obtaining the power deviation of the reference battery cell by using the internal resistance change data and the power change data;
the EOL power prediction module is used for obtaining the predicted power of the reference battery cell at the end of life stage by using the internal resistance change data;
the correction module is used for correcting the predicted power by using the power deviation;
and the setting module is used for setting the corrected power as the power of the service life end stage of the target battery.
8. The apparatus of claim 7, wherein the power offset calculation module comprises:
a curve first forming unit, configured to obtain a first power change curve of the reference cell according to the internal resistance change data by prediction;
a second curve forming unit, configured to form a second power variation curve of the reference cell according to the power variation data;
and the power deviation calculation unit is used for obtaining the power deviation of the reference battery cell according to the first power variation curve and the second power variation curve.
9. The device for setting the power of the end-of-life stage of the battery is characterized by comprising a processor and a memory; the memory is used for storing a computer program; the processor is configured to execute the method for setting battery end-of-life power according to any one of claims 1-6 according to the computer program.
10. A computer-readable storage medium for storing a computer program which, when executed by a processor, performs the method of setting battery end-of-life stage power according to any one of claims 1-6.
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