CN113933736A - Battery pack consistency evaluation method based on cloud discharge data - Google Patents
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Abstract
The invention discloses a battery pack consistency evaluation method based on cloud discharge data, which comprises the following steps of: step 1, performing data cleaning on cloud data to obtain discharge voltage data of a plurality of groups of battery monomers; step 2, carrying out envelope processing on the discharge voltage data of the battery monomer to obtain an upper envelope line and a lower envelope line; step 3, respectively judging the upper envelope line and the lower envelope line to obtain a maximum and minimum difference accumulation curve of the upper envelope line at each moment and a maximum and minimum difference accumulation curve of the lower envelope line at each moment; step 4, accumulating the maximum and minimum difference accumulation curve of the upper envelope line at each moment and the maximum and minimum difference accumulation curve of the lower envelope line at each moment to obtain a final addition curve; and 5, quantitatively evaluating the consistency of the battery pack through the slope of the final addition curve.
Description
Technical Field
The invention relates to the technical field of battery safety, in particular to a battery pack consistency evaluation method based on cloud discharge data.
Background
In recent years, with the change of energy structures, new energy is continuously promoted, and batteries are widely applied to the fields of energy storage systems, electric vehicles and the like. The battery energy storage is an energy storage technology for realizing mutual conversion between electric energy and chemical energy by utilizing an electrochemical reaction. Among them, the lithium ion battery is distinguished from many batteries by virtue of its advantages of high energy density, low self-discharge rate, no memory, etc., and is one of the most widely used batteries. Because the manufacturing technology of the lithium ion battery is limited, in order to meet the requirements of the electric equipment on battery power and energy, a plurality of single batteries are often connected in series and in parallel to form a battery pack to supply power to the electric equipment. However, due to the use of materials, the manufacturing process, and the like, the difference between the battery cells may be gradually deepened in the use process due to the influence of the use environment. The variation difference of the voltage, the internal resistance and the capacity of the battery is shown, so that the available capacity of the battery pack is reduced, the service life is shortened, and the economical efficiency, the stability and the safety of electric equipment are directly influenced. Therefore, timely and accurately detecting out inconsistent single batteries in the battery pack and replacing the inconsistent single batteries have important significance for maintaining safe and stable operation of the battery pack.
Non-uniformity of a battery is an important factor in its performance, which can reduce the usable capacity and cycle life of the battery. The non-uniformity of the decay rate of the cells in the parallel circuit accelerates the degradation of the system. The most intuitive expression of the inconsistency of the battery pack is the inconsistency of the voltage of the single battery, and the statistical research on the consistency of the voltage of the battery pack is common in the existing literature. At present, the forming reasons of the inconsistency of the battery pack and the influence of the inconsistency on the service life of the battery pack mainly focus on the power battery of the electric automobile and relevant research on experiment and test environments.
At present, most of data analysis of the battery pack adopts charging section data, the charging section data has the advantages of high quality, stable data fluctuation and the like, and discharging data often cannot obtain use value due to too low quality.
Disclosure of Invention
The present invention is made to solve the above problems, and an object of the present invention is to provide a battery pack consistency evaluation method based on cloud discharge data.
The invention provides a battery pack consistency evaluation method based on cloud discharge data, which is characterized by comprising the following steps of: step 1, performing data cleaning on cloud data to obtain discharge voltage data of a plurality of groups of battery monomers; step 2, carrying out envelope processing on the discharge voltage data of the battery monomer to obtain an upper envelope line and a lower envelope line; step 3, respectively judging the upper envelope line and the lower envelope line to obtain a maximum and minimum difference accumulation curve of the upper envelope line at each moment and a maximum and minimum difference accumulation curve of the lower envelope line at each moment; step 4, accumulating the maximum and minimum difference accumulation curve of the upper envelope line at each moment and the maximum and minimum difference accumulation curve of the lower envelope line at each moment to obtain a final addition curve; and 5, quantitatively evaluating the consistency of the battery pack through the slope of the final addition curve.
In the battery pack consistency evaluation method based on cloud discharge data provided by the invention, the method can also have the following characteristics: in step 2, the method adopted when performing envelope processing is as follows: recording the voltage of a single battery pack as U, and calling an envelope function in MATLAB
[Uup,Udown]＝envelope(U) (1)
In the formula of UupIs an upper envelope, UdownThe lower envelope.
In the battery pack consistency evaluation method based on cloud discharge data provided by the invention, the method can also have the following characteristics: in step 3, the method adopted in the judgment is as follows:
Vupmax，i＝max{Uup，1，Uup，2，Uup，3...Uup，i},i＝1,2,3...k (2)
Vupmin，i＝min{Uup，1，Uup，2，Uup，3...Uup，i},i＝1,2,3...k (3)
Vdownmax，i＝max{Udown，1，Udown，2，Udown，3...Udown，i},i＝1,2,3...k (4)
Vdownmin，i＝min{Udown，1，Udown，2，Udown，3...Udown，i},i＝1,2,3...k (5)
wherein k is the number of battery cells, i is the number of time nodes of valid data, Vupmax，iCorresponding to the maximum value of the upper envelope, V, for each time nodeupmin，iFor each time node corresponding to the minimum value of the upper envelope, Vdownmax，iFor each time node, the maximum value of the lower envelope, Vdownmin，iFor each time node, a lower envelope minimum is assigned.
In the battery pack consistency evaluation method based on cloud discharge data provided by the invention, the method can also have the following characteristics: in step 4, when performing the accumulation, the method adopted is as follows: v of each moment calculated in the step 3upmaxAnd VupminSubtracting to obtain Uup，VdownmaxAnd VdownminSubtracting to obtain UdownAt each time UupAnd UdownAdd up and add UupAnd UdownThe summation of the accumulation curves adopts the following method:
in the formula, Vupsum，iFor each moment UupMaximum difference accumulation value, Vdownsum，iFor each moment UdownThe maximum difference accumulation value.
In the battery pack consistency evaluation method based on cloud discharge data provided by the invention, the method can also have the following characteristics: in step 5, the method for quantitatively evaluating consistency comprises the following steps:
and judging the consistency condition of the battery pack by using the final addition curve, namely if the slope of the final addition curve is gradually increased, the consistency is gradually deteriorated, and if the slope of the final addition curve is stable, the consistency condition is kept unchanged.
In the battery pack consistency evaluation method based on cloud discharge data provided by the invention, the method can also have the following characteristics: the discharge voltage data of the battery monomers are five groups, wherein in the step 5, the specific process of the method for quantitatively evaluating the consistency is as follows: drawing a final addition curve with the slope of 0 through five groups of same battery monomer discharge voltage data, a final addition curve with a slope of 0.05 was plotted with an additional 25mV at each time instant for one cell in the five identical sets of cell discharge voltage data, a final addition curve with a slope of 0.1 was plotted with 50mV added at each time instant for one cell in five sets of identical cell discharge voltage data, a final addition curve with a slope of 0.15 was plotted with an additional 75mV at each time instant for one cell in the five identical sets of cell discharge voltage data, and adding 100mV at each moment of one battery in the five groups of same battery cell discharge voltage data to draw a final addition curve with the slope of 0.2, determining the threshold value of the slope by adopting a highest score and a lowest score determination threshold value method, setting the full score threshold value to be 0, and setting the threshold value (0 score) of the slope k to be t.vCalculating the score of the slope by adopting a piecewise linear interpolation method, and when the slope is in an interval [0,0.05 ]]Time correspondence score [100,90 ]]Linear interpolation when the slope is in the interval 0.05,0.1]Time correspondence score [90,70]Linear interpolation when the slope is in the interval [0.1,0.15 ]]Time correspondence score [70,40]Linear interpolation when the slope is in the interval [0.15,0.2 ]]Time correspondence score [40,0]Linear interpolation, i.e.:
action and Effect of the invention
According to the battery pack consistency evaluation method based on the cloud discharge data, the cloud data is subjected to data cleaning to obtain a plurality of groups of battery monomer discharge voltage data, the battery monomer discharge voltage data is subjected to envelope processing to obtain an upper envelope line and a lower envelope line, the upper envelope line and the lower envelope line are respectively judged to obtain an upper envelope line and a lower envelope line maximum and minimum difference accumulation curve at each moment of the upper envelope line and a lower envelope line maximum and minimum difference accumulation curve at each moment, the upper envelope line maximum and minimum difference accumulation curve at each moment and the lower envelope line maximum and minimum difference accumulation curve at each moment are accumulated to obtain a final addition curve, and the battery pack consistency is quantitatively evaluated according to the slope of the final addition curve. The method and the device have the advantages that the consistency is quantitatively evaluated according to the slope, the consistency change condition of the battery pack is intuitively reflected, the dependence degree on the charging data is reduced to a certain degree, the inconsistent condition of the battery pack is detected through the discharging data to a certain degree, the important significance is realized on maintaining the safe and stable operation of the battery pack, the certain significance is realized on the re-development of the discharging data, the blindness of the utilization of the charging data at present is solved, and scientific guidance is provided for the effective utilization of the discharging data.
Drawings
Fig. 1 is a flowchart of a battery pack consistency evaluation method based on cloud discharge data in embodiment 1 of the present invention;
fig. 2 is upper and lower envelope diagrams of a battery pack consistency evaluation method based on cloud discharge data in embodiment 2 of the present invention;
fig. 3 is a final addition curve and a first linear fitting curve of the battery pack consistency evaluation method based on cloud discharge data in embodiment 2 of the present invention;
fig. 4 is upper and lower envelope diagrams of a battery pack consistency evaluation method based on cloud discharge data in embodiment 3 of the present invention; and
fig. 5 is a final addition curve and a first linear fitting curve of the battery pack consistency evaluation method based on cloud discharge data in embodiment 3 of the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the present invention easy to understand, the following embodiments specifically describe the method for evaluating the consistency of the battery pack based on the cloud discharge data in combination with the accompanying drawings.
< example 1>
In the embodiment, a battery pack consistency evaluation method based on cloud discharge data is provided.
Fig. 1 is a flowchart of a battery pack consistency evaluation method based on cloud discharge data in this embodiment.
As shown in fig. 1, the method for evaluating consistency of a battery pack based on cloud discharge data according to the present embodiment includes the following steps:
and step S1, performing data cleaning on the cloud data to obtain discharge voltage data of the five groups of single batteries.
And step S2, carrying out envelope processing on the discharge voltage data of the battery monomer to obtain an upper envelope line and a lower envelope line.
When the envelope processing is carried out, the method is as follows: recording the voltage of a single battery pack as U, and calling an envelope function in MATLAB
[Uup,Udown]＝envelope(U) (1)
In the formula of UupIs an upper envelope, UdownThe lower envelope.
Step S3, the upper envelope and the lower envelope are respectively determined to obtain a maximum-minimum difference accumulation curve at each time of the upper envelope and a maximum-minimum difference accumulation curve at each time of the lower envelope.
In the determination, the following method is adopted:
Vupmax，i＝max{Uup，1，Uup，2，Uup，3...Uup，i},i＝1,2,3...k (2)
Vupmin，i＝min{Uup，1，Uup，2，Uup，3...Uup，i},i＝1,2,3...k (3)
Vdownmax，i＝max{Udown，1，Udown，2，Udown，3...Udown，i},i＝1,2,3...k (4)
Vdownmin，i＝min{Udown，1，Udown，2，Udown，3...Udown，i},i＝1,2,3...k (5)
wherein k is a battery packNumber of cells, i number of time nodes for valid data, Vupmax，iCorresponding to the maximum value of the upper envelope, V, for each time nodeupmin，iFor each time node corresponding to the minimum value of the upper envelope, Vdownmax，iFor each time node, the maximum value of the lower envelope, Vdownmin，iFor each time node, a lower envelope minimum is assigned.
And step S4, accumulating the maximum and minimum difference accumulation curve of the upper envelope curve at each moment and the maximum and minimum difference accumulation curve of the lower envelope curve at each moment to obtain a final addition curve.
When accumulation is performed, the method adopted is as follows: v of each moment calculated in the step 3upmaxAnd VupminSubtracting to obtain Uup，VdownmaxAnd VdownminSubtracting to obtain UdownAt each time UupAnd UdownAdd up and add UupAnd UdownThe summation of the accumulation curves adopts the following method:
in the formula, Vupsum，iFor each moment UupMaximum difference accumulation value, Vdownsum，iFor each moment UdownThe maximum difference accumulation value.
In step S5, the battery pack consistency is quantitatively evaluated by the magnitude of the slope of the final sum curve.
The method for quantitatively evaluating the consistency comprises the following steps: and judging the consistency condition of the battery pack by using the final addition curve, namely if the slope of the final addition curve is gradually increased, the consistency is gradually deteriorated, and if the slope of the final addition curve is stable, the consistency condition is kept unchanged.
The specific process of the consistency quantitative evaluation method comprises the following steps:drawing a final addition curve with the slope of 0 through five groups of same battery monomer discharge voltage data, a final addition curve with a slope of 0.05 was plotted with an additional 25mV at each time instant for one cell in the five identical sets of cell discharge voltage data, a final addition curve with a slope of 0.1 was plotted with 50mV added at each time instant for one cell in five sets of identical cell discharge voltage data, a final addition curve with a slope of 0.15 was plotted with an additional 75mV at each time instant for one cell in the five identical sets of cell discharge voltage data, and adding 100mV at each moment of one battery in the five groups of same battery cell discharge voltage data to draw a final addition curve with the slope of 0.2, determining the threshold value of the slope by adopting a highest score and a lowest score determination threshold value method, setting the full score threshold value to be 0, and setting the threshold value (0 score) of the slope k to be t.vCalculating the score of the slope by adopting a piecewise linear interpolation method, and when the slope is in an interval [0,0.05 ]]Time correspondence score [100,90 ]]Linear interpolation when the slope is in the interval 0.05,0.1]Time correspondence score [90,70]Linear interpolation when the slope is in the interval [0.1,0.15 ]]Time correspondence score [70,40]Linear interpolation when the slope is in the interval [0.15,0.2 ]]Time correspondence score [40,0]Linear interpolation, i.e.:
< example 2>
In example 2, a specific application in example 1 is provided.
In this example, the consistency of the battery pack 1 is evaluated, and the battery pack 1 is formed by connecting 5% of square-shell batteries with a nominal capacity of 100Ah in series with 5 fresh batteries with a nominal capacity of 100 Ah.
The specific implementation mode of the composition is as follows:
and step S1, performing data cleaning on the cloud data to obtain a group of battery monomer discharge voltage data.
And step S2, carrying out envelope processing on the discharge voltage data of the battery monomer to obtain an upper envelope line and a lower envelope line.
Fig. 2 is a diagram of an upper envelope and a lower envelope of the battery pack consistency evaluation method based on cloud discharge data in the present embodiment.
Step S3, the upper envelope and the lower envelope are respectively determined to obtain a maximum-minimum difference accumulation curve at each time of the upper envelope and a maximum-minimum difference accumulation curve at each time of the lower envelope.
And step S4, accumulating the maximum and minimum difference accumulation curve of the upper envelope curve at each moment and the maximum and minimum difference accumulation curve of the lower envelope curve at each moment to obtain a final addition curve with gradually reduced slope in the initial stage, stable slope in the transition stage and gradually increased slope in the final stage.
Fig. 3 is a final addition curve and a first linear fitting curve of the battery pack consistency evaluation method based on cloud discharge data in the embodiment.
As shown in fig. 3, the fitted curve slope was 0.0618.
In step S5, the battery pack consistency is quantitatively evaluated by the magnitude of the slope of the final sum curve.
As shown in fig. 3, the interpolation scores according to the evaluation criteria corresponding to the slope of the fitted curve are: 85.2719.
< example 3>
In example 3, a specific application in example 1 is provided.
In this example, the consistency of the battery pack 2 is evaluated, and the battery pack 2 is formed by connecting 5 fresh batteries with a nominal capacity of 100Ah in series and square-shell batteries with a nominal capacity of 100Ah attenuated by 10%. The specific implementation mode is as follows:
and step S1, performing data cleaning on the cloud data to obtain a group of battery monomer discharge voltage data.
And step S2, carrying out envelope processing on the discharge voltage data of the battery monomer to obtain an upper envelope line and a lower envelope line.
Fig. 4 is a graph of an upper envelope and a lower envelope of the battery pack consistency evaluation method based on cloud discharge data in the present embodiment.
Step S3, the upper envelope and the lower envelope are respectively determined to obtain a maximum-minimum difference accumulation curve at each time of the upper envelope and a maximum-minimum difference accumulation curve at each time of the lower envelope.
And step S4, accumulating the maximum and minimum difference accumulation curve of the upper envelope curve at each moment and the maximum and minimum difference accumulation curve of the lower envelope curve at each moment to obtain a final addition curve with gradually reduced slope in the initial stage, stable slope in the transition stage and gradually increased slope in the final stage.
Fig. 5 is a final addition curve and a first linear fitting curve of the battery pack consistency evaluation method based on cloud discharge data in the embodiment.
As shown in fig. 5, the slope of the fitted curve is 0.0838.
In step S5, the battery pack consistency is quantitatively evaluated by the magnitude of the slope of the final sum curve.
As shown in fig. 5, the interpolation scores according to the evaluation criteria corresponding to the slope of the fitted curve are: 76.4453.
effects and effects of the embodiments
According to the battery pack consistency evaluation method based on the cloud discharge data in embodiments 1 to 3, the cloud data is subjected to data cleaning to obtain discharge voltage data of a plurality of battery cells, the discharge voltage data of the battery cells is subjected to envelope processing to obtain an upper envelope curve and a lower envelope curve, the upper envelope curve and the lower envelope curve are respectively judged to obtain a maximum-minimum difference accumulation curve of the upper envelope curve at each moment and a maximum-minimum difference accumulation curve of the lower envelope curve at each moment, the maximum-minimum difference accumulation curve of the upper envelope curve at each moment and the maximum-minimum difference accumulation curve of the lower envelope curve at each moment are accumulated to obtain a final sum curve, and the battery pack consistency is quantitatively evaluated according to the slope of the final sum curve. The method and the device have the advantages that the consistency is quantitatively evaluated according to the slope, the consistency change condition of the battery pack is intuitively reflected, the dependence degree on the charging data is reduced to a certain degree, the inconsistent condition of the battery pack is detected through the discharging data to a certain degree, the important significance is realized on maintaining the safe and stable operation of the battery pack, the certain significance is realized on the re-development of the discharging data, the blindness of the utilization of the charging data at present is solved, and scientific guidance is provided for the effective utilization of the discharging data.
The above embodiments are preferred examples of the present invention, and are not intended to limit the scope of the present invention.
Claims (6)
1. A battery pack consistency evaluation method based on cloud discharge data is characterized by comprising the following steps:
step 1, performing data cleaning on cloud data to obtain discharge voltage data of a plurality of groups of battery monomers;
step 2, enveloping the discharge voltage data of the single battery to obtain an upper envelope line and a lower envelope line;
step 3, respectively judging the upper envelope line and the lower envelope line to obtain a maximum and minimum difference accumulation curve of the upper envelope line at each moment and a maximum and minimum difference accumulation curve of the lower envelope line at each moment;
step 4, accumulating the maximum and minimum difference accumulation curve of the upper envelope line at each moment and the maximum and minimum difference accumulation curve of the lower envelope line at each moment to obtain a final addition curve;
and 5, quantitatively evaluating the consistency of the battery pack according to the slope of the final addition curve.
2. The battery pack consistency evaluation method based on cloud discharge data according to claim 1, wherein the battery pack consistency evaluation method comprises the following steps:
in step 2, the envelope processing is performed by the following method:
recording the voltage of a single battery pack as U, and calling an envelope function in MATLAB
[Uup,Udown]＝envelope(U) (1)
In the formula of UupIs an upper envelope, UdownThe lower envelope.
3. The battery pack consistency evaluation method based on cloud discharge data according to claim 1, wherein the battery pack consistency evaluation method comprises the following steps:
in step 3, the method adopted in the judgment is as follows:
Vupmax，i＝max{Uup，1，Uup，2，Uup，3...Uup，i},i＝1,2,3...k (2)
Vupmin，i＝min{Uup，1，Uup，2，Uup，3...Uup，i},i＝1,2,3...k (3)
Vdownmax，i＝max{Udown，1，Udown，2，Udown，3...Udown，i},i＝1,2,3...k (4)
Vdownmin，i＝min{Udown，1，Udown，2，Udown，3...Udown，i},i＝1,2,3...k (5)
wherein k is the number of battery cells, i is the number of time nodes of valid data, Vupmax，iCorresponding to the maximum value of the upper envelope, V, for each time nodeupmin，iFor each time node corresponding to the minimum value of the upper envelope, Vdownmax，iFor each time node, the maximum value of the lower envelope, Vdownmin，iFor each time node, a lower envelope minimum is assigned.
4. The battery pack consistency evaluation method based on cloud discharge data according to claim 1, wherein the battery pack consistency evaluation method comprises the following steps:
in step 4, when performing the accumulation, the method adopted is as follows:
v of each moment calculated in the step 3upmaxAnd VupminSubtracting to obtain Uup，VdownmaxAnd VdownminSubtracting to obtain UdownAt each time UupAnd UdownAdd up and add UupAnd UdownThe summation of the accumulation curves adopts the following method:
in the formula, Vupsum，iFor each moment UupMaximum difference accumulation value, Vdownsum，iFor each moment UdownThe maximum difference accumulation value.
5. The battery pack consistency evaluation method based on cloud discharge data according to claim 1, wherein the battery pack consistency evaluation method comprises the following steps:
in step 5, the method for quantitatively evaluating consistency comprises the following steps:
and judging the consistency condition of the battery pack by using the final addition curve, namely if the slope of the final addition curve is gradually increased, the consistency is gradually deteriorated, and if the slope of the final addition curve is stable, the consistency condition is kept unchanged.
6. The battery pack consistency evaluation method based on cloud discharge data according to claim 1, wherein the battery pack consistency evaluation method comprises the following steps:
the discharge voltage data of the battery single cells are five groups,
in step 5, the specific process of the method for quantitatively evaluating consistency is as follows:
drawing a final addition curve with the slope of 0 through five groups of same battery monomer discharge voltage data, adding 25mV to each moment of one monomer in the five groups of same battery monomer discharge voltage data to draw a final addition curve with the slope of 0.05, adding 50mV to each moment of one monomer in the five groups of same battery monomer discharge voltage data to draw a final addition curve with the slope of 0.1, adding 75mV to each moment of one monomer in the five groups of same battery monomer discharge voltage data to draw a final addition curve with the slope of 0.15, adding 100mV to each moment of one monomer in the five groups of same battery monomer discharge voltage data to draw a final addition curve with the slope of 0.2,
determining threshold value by adopting highest score and lowest score, determining threshold value of slope, setting threshold value of full score to be 0, setting threshold value (0 score) of slope k to be tvCalculating the score of the slope by adopting a piecewise linear interpolation method, and when the slope is in an interval [0,0.05 ]]Time correspondence score [100,90 ]]Linear interpolation when the slope is in the interval 0.05,0.1]Time correspondence score [90,70]Linear interpolation when the slope is in the interval [0.1,0.15 ]]Time correspondence score [70,40]Linear interpolation when the slope is in the interval [0.15,0.2 ]]Time correspondence score [40,0]Linear interpolation, i.e.:
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Cited By (2)
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| CN115343649A (en) * | 2022-10-18 | 2022-11-15 | 力高(山东)新能源技术股份有限公司 | Method for detecting consistency of battery cells of battery pack |
| CN115343649B (en) * | 2022-10-18 | 2023-03-14 | 力高(山东)新能源技术股份有限公司 | Method for detecting consistency of battery cells of battery pack |
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