CN117654928A - Retired battery sorting method, device and equipment based on time distance sequence - Google Patents
Retired battery sorting method, device and equipment based on time distance sequence Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
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Abstract
The invention relates to a retired battery sorting method, a retired battery sorting device and retired battery sorting equipment based on a time distance sequence, wherein the method comprises the following steps: performing charge-discharge pulse test for a first preset time on a plurality of retired batteries to be sorted to obtain a plurality of first voltage curves, and performing charge-discharge pulse test for a second preset time on new batteries of the same type to obtain a second voltage curve; calculating a time distance sequence in the first preset time according to the first voltage curve and the second voltage curve; predicting voltage curves in a third preset time of a plurality of retired batteries to be sorted based on the time distance sequence to obtain a plurality of third voltage curves in the third preset time; and calculating average Euclidean deviation according to the third voltage curve, and sorting the retired batteries according to the average Euclidean deviation. According to the invention, the voltage curve of the retired battery is predicted through pulse test, and the retired battery is sorted according to the predicted voltage curve, so that the sorting efficiency of the battery is improved.
Description
Technical Field
The invention relates to the technical field of battery sorting, in particular to a retired battery sorting method, device and equipment based on a time distance sequence.
Background
With the continuous and rapid development of electric automobiles, the gradient utilization of power batteries and a power grid form deep interaction. The power battery retirement quantity is rapidly increased, and the echelon utilization key technology of retired batteries becomes a hot problem to be solved urgently. Under the development background of comprehensive low carbonization of energy and traffic, the challenges brought by high-proportion renewable energy and strong-fluctuation power load are faced, and research and development of key technology of the retired power battery are in gradient use and meet the requirement of sustainable development of green energy.
In the prior art, the retired batteries are generally sorted through a neural network model, a sorting model can be established according to various different network models, the sorting model is trained, then characteristic parameters are selected after the batteries are tested, and the sorting of the retired batteries can be realized after the characteristic parameters are input into the trained sorting model.
However, in the prior art, the method for sorting the retired battery through the neural network model requires a large amount of data to train the neural network model to obtain the neural network model with higher sorting precision of the retired battery, and the training process of the neural network model takes longer time, so that the sorting efficiency of the retired battery is low.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a method, a device and a device for sorting retired batteries based on a time-distance sequence, so as to solve the problem that in the prior art, a large amount of data is required for training when sorting by a neural network model, and the efficiency of sorting retired batteries is low due to long time consumption in the training process.
In order to achieve the technical purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for sorting retired batteries based on a time-distance sequence, comprising:
performing charge-discharge pulse test for a first preset time on a plurality of retired batteries to be sorted to obtain a plurality of first voltage curves, and performing charge-discharge pulse test for a second preset time on new batteries of the same type to obtain a second voltage curve;
calculating a time distance sequence in a first preset time according to the first voltage curve and the second voltage curve;
predicting voltage curves in a third preset time of the plurality of retired batteries to be sorted based on the time distance sequence to obtain a third voltage curve of the plurality of third preset times; the sum of the first preset time and the third preset time is equal to the second preset time;
and calculating average Euclidean deviation according to the third voltage curve, and sorting the retired batteries through the average Euclidean deviation.
In some possible implementations, calculating the time-distance sequence within the first preset time according to the first voltage curve and the second voltage curve includes:
setting a plurality of time points in a second preset time;
and calculating the curve distance according to the first voltage curve and the second voltage curve for each time point in the first preset time to obtain a time distance sequence.
In some possible implementations, predicting the voltage curves of the plurality of retired batteries to be sorted within the third preset time based on the time-distance sequence to obtain a third voltage curve of the plurality of third preset times includes:
inputting the time distance sequence into a gray prediction model, and outputting to obtain a time distance sequence within a third preset time;
estimating voltage values of a plurality of time points in the third preset time according to the time distance sequence in the third preset time;
and generating a third voltage curve according to the voltage value in the third preset time and the sequence of the time points.
In some possible implementations, estimating the voltage values at the plurality of time points in the third preset time according to the time distance sequence in the third preset time includes:
determining standard voltage values of a plurality of time points in a third preset time according to the second voltage curve;
and subtracting the time distance sequence of the corresponding time points from the standard voltage value to obtain voltage values of a plurality of time points in a third preset time.
In some possible implementations, calculating an average euclidean deviation from the third voltage curve, sorting retired batteries by average euclidean deviation includes:
calculating average curve distances among all third voltage curves, and determining a target center curve according to the average curve distances;
calculating the average Euclidean deviation between the target center curve and the rest third voltage curve;
and sorting the retired batteries according to the average European deviation and the preset interval range.
In some possible implementations, calculating the average curve distance between all third voltage curves, determining the target center curve from the average curve distance includes:
taking the third voltage curve as an alternative central curve in turn;
calculating an average curve distance between the remaining third voltage curve and the alternative center curve;
and taking the alternative center curve corresponding to the minimum average curve distance as a target center curve.
In some possible implementations, sorting retired batteries according to average european deviation and a preset interval range includes:
dividing the classification intervals of the plurality of retired batteries by a preset interval range, and sorting the retired batteries according to the average European deviation and the classification intervals of the plurality of retired batteries.
In a second aspect, the present invention also provides a retired battery sorting apparatus based on a time-distance sequence, including:
the pulse test module is used for carrying out charge and discharge pulse test for a first preset time on a plurality of retired batteries to be sorted to obtain a plurality of first voltage curves, and carrying out charge and discharge pulse test for a second preset time on new batteries of the same type to obtain a second voltage curve;
the sequence calculation module is used for calculating a time distance sequence in a first preset time according to the first voltage curve and the second voltage curve;
the prediction module is used for predicting the voltage curves of the plurality of retired batteries to be sorted in the third preset time based on the time distance sequence to obtain a plurality of third voltage curves of the third preset time; the sum of the first preset time and the third preset time is equal to the second preset time;
and the sorting module is used for calculating the average Euclidean deviation according to the third voltage curve and sorting the retired batteries through the average Euclidean deviation.
In a third aspect, the present invention also provides a retired battery sorting apparatus based on a time-distance sequence, comprising a memory and a processor, wherein,
a memory for storing a program;
and a processor coupled to the memory for executing the program stored in the memory to implement the steps in the retired battery sorting method based on time-distance sequences in any one of the implementations described above.
In a fourth aspect, the present invention further provides a computer readable storage medium storing a computer readable program or instructions, which when executed by a processor, enable the steps in the retired battery sorting method according to any one of the above implementations based on a time-distance sequence.
The beneficial effects of adopting the embodiment are as follows: the invention relates to a retired battery sorting method, a retired battery sorting device and retired battery sorting equipment based on a time distance sequence, wherein the method comprises the following steps: performing charge-discharge pulse test for a first preset time on a plurality of retired batteries to be sorted to obtain a plurality of first voltage curves, and performing charge-discharge pulse test for a second preset time on new batteries of the same type to obtain a second voltage curve; calculating a time distance sequence in the first preset time according to the first voltage curve and the second voltage curve; predicting voltage curves in a third preset time of a plurality of retired batteries to be sorted based on the time distance sequence to obtain a plurality of third voltage curves in the third preset time; the sum of the time of the first preset time and the third preset time is equal to the second preset time; and calculating average Euclidean deviation according to the third voltage curve, and sorting the retired batteries according to the average Euclidean deviation. According to the invention, the first voltage curve of the retired battery and the second voltage curve of the new battery are obtained through pulse test, the third voltage curve of the retired battery is predicted through the first voltage curve and the second voltage curve, and then the retired battery is sorted according to the predicted third voltage curve, so that the sorting of the retired battery can be realized only through pulse test and calculation, and the sorting efficiency of the battery is improved.
Drawings
FIG. 1 is a schematic flow chart of an embodiment of a retired battery sorting method based on a time-distance sequence according to the present invention;
FIG. 2 is a flow chart of an embodiment of the step S103 in FIG. 1 according to the present invention;
FIG. 3 is a flowchart illustrating an embodiment of the step S104 in FIG. 1 according to the present invention;
FIG. 4 is a flowchart illustrating an embodiment of the step S301 in FIG. 3 according to the present invention;
FIG. 5 is a schematic diagram illustrating an embodiment of a retired battery sorting apparatus based on a time-distance sequence according to the present invention;
fig. 6 is a schematic structural diagram of retired battery sorting equipment based on a time distance sequence according to an embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form a part hereof, and together with the description serve to explain the principles of the invention, and are not intended to limit the scope of the invention.
In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The invention provides a retired battery sorting method, device and equipment based on a time distance sequence, which are respectively described below.
Referring to fig. 1, fig. 1 is a flow chart of an embodiment of a retired battery sorting method based on a time-distance sequence according to the present invention, and in one embodiment of the present invention, a retired battery sorting method based on a time-distance sequence is disclosed, including:
s101, performing charge-discharge pulse testing for a first preset time on a plurality of retired batteries to be sorted to obtain a plurality of first voltage curves, and performing charge-discharge pulse testing for a second preset time on new batteries of the same type to obtain a second voltage curve;
s102, calculating a time distance sequence in a first preset time according to a first voltage curve and a second voltage curve;
s103, predicting voltage curves in a third preset time of a plurality of retired batteries to be sorted based on the time distance sequence to obtain third voltage curves of a plurality of third preset times; the sum of the first preset time and the third preset time is equal to the second preset time;
s104, calculating average Euclidean deviation according to the third voltage curve, and sorting the retired batteries through the average Euclidean deviation.
In the above embodiment, there are a plurality of retired batteries to be sorted, so that charge and discharge pulse tests need to be performed on all the batteries to be sorted, each of the retired batteries to be sorted draws a plurality of first voltage curves separately, and the first preset time and the second preset time can be set according to actual needs. The same-type new battery refers to an unused battery which is identical to the retired battery to be sorted in model, so that the specific situation of the retired battery to be sorted is known, and the voltage curve of the same-type new battery is obtained through a charge-discharge pulse test.
The voltage pulse curve is a curve graph of voltage change along with time, and when the same time is determined, the voltage difference between the retired battery and the reference battery in the first preset time is calculated, namely, the time distance sequence between the first voltage curve and the second voltage curve in the first preset time is obtained.
Because the retired battery to be sorted only has the first voltage curve in the first preset time, the voltage curve of the retired battery to be sorted in the third preset time needs to be predicted according to the time distance sequence between the first voltage curve and the second voltage curve in the first preset time, and the third voltage curve is obtained.
And selecting a target center curve from all the third voltage curves, calculating the average Euclidean deviation between the target center curve and the rest third voltage curves based on the target center curve, and finishing the sorting of the retired batteries by the average Euclidean deviation.
Compared with the prior art, the retired battery sorting method based on the time distance sequence provided by the embodiment comprises the following steps: performing charge-discharge pulse test for a first preset time on a plurality of retired batteries to be sorted to obtain a plurality of first voltage curves, and performing charge-discharge pulse test for a second preset time on new batteries of the same type to obtain a second voltage curve; calculating a time distance sequence in the first preset time according to the first voltage curve and the second voltage curve; predicting voltage curves of the plurality of retired batteries to be sorted within the third preset time based on the time distance sequence to obtain a plurality of third voltage curves of the third preset time; the sum of the time of the first preset time and the third preset time is equal to the second preset time; and calculating average Euclidean deviation according to the third voltage curve, and sorting the retired batteries according to the average Euclidean deviation. According to the invention, the first voltage curve of the retired battery and the second voltage curve of the new battery are obtained through pulse test, the third voltage curve of the retired battery is predicted through the first voltage curve and the second voltage curve, and then the retired battery is sorted according to the predicted third voltage curve, so that the sorting of the retired battery can be realized only through pulse test and calculation, and the sorting efficiency of the battery is improved.
In some embodiments of the present invention, calculating a time-distance sequence within a first preset time from a first voltage curve and a second voltage curve includes:
setting a plurality of time points in a second preset time;
and calculating the curve distance according to the first voltage curve and the second voltage curve for each time point in the first preset time to obtain a time distance sequence.
In the above embodiment, the time is a continuous physical quantity, and the voltages in the voltage curve have different values at different times, so, in order to calculate the time-distance sequence conveniently, the voltage corresponding to the time point is selected for calculation, in the present invention, the second may be the time point, or the minute may be the time point, and since the second preset time is the sum of the first preset time and the third preset time, the second preset time includes the first preset time, and therefore, after the time point is set in the second preset time, a certain time exists in the first preset time.
In the invention, the ordinate of all the voltage curves is the actual value of the voltage, so that the curve distance between the first voltage curve and the second voltage curve, namely the difference between the ordinate when the first voltage curve and the second voltage curve correspond to the time points, is calculated, and the distance sequence is also immediately kept.
For each time point t, the voltage V of the retired battery is calculated retired,t And the voltage V of the new battery new,t Difference between them. This difference can be considered as the distance at time point t.
dis tan ce t ＝V retired,t -V new,t
Wherein distance is t Is a time distance sequence at time t.
Referring to fig. 2, fig. 2 is a flowchart of an embodiment of step S103 in fig. 1 provided by the present invention, in some embodiments of the present invention, predicting voltage curves of a plurality of retired batteries to be sorted within a third preset time based on a time-distance sequence to obtain a plurality of third voltage curves of the third preset time, including:
s201, inputting the time distance sequence into a gray prediction model, and outputting to obtain a time distance sequence within a third preset time;
s202, estimating voltage values of a plurality of time points in third preset time according to a time distance sequence in the third preset time;
s203, generating a third voltage curve according to the voltage value in the third preset time and the sequence of time points.
In the above embodiment, the gray prediction model is a prediction method for making predictions by creating a mathematical model with a small amount of incomplete information. Based on the past and present development rules of objective things, the future development trend and condition are described and analyzed by means of a scientific method, and scientific assumption and judgment are formed.
The invention directly utilizes the gray prediction model in the prior art to predict the time distance sequence within the third preset time according to the time distance sequence, and the invention does not redundant description of the gray prediction model.
And reversely estimating the voltage values of a plurality of time points in the third preset time through the time distance sequence in the third preset time, determining specific time points and points corresponding to the voltage values in a rectangular coordinate system, and sequentially connecting the voltage values according to the sequence of the time points to obtain a third voltage curve.
In some embodiments of the present invention, estimating the voltage values at a plurality of time points within the third preset time according to the time distance sequence within the third preset time includes:
determining standard voltage values of a plurality of time points in a third preset time according to the second voltage curve;
and subtracting the time distance sequence of the corresponding time points from the standard voltage value to obtain voltage values of a plurality of time points in a third preset time.
In the above embodiment, the predicted retired battery voltage is calculated using the standard voltage value and the predicted distance value for the new battery:
V predicted,t ＝V new,t -dis tan ce predicted,t
the standard voltage value is directly confirmed through a second voltage curve, the second voltage curve is the voltage curve of a new battery of the same type, the standard voltage value represents the voltage of the new battery, and the predicted voltage value of the retired battery can be obtained by subtracting the predicted time distance sequence from the standard voltage value.
Referring to fig. 3, fig. 3 is a flowchart illustrating an embodiment of step S104 in fig. 1 according to the present invention, in some embodiments of the present invention, calculating an average euclidean deviation according to a third voltage curve, and sorting retired batteries by the average euclidean deviation includes:
s301, calculating average curve distances among all third voltage curves, and determining a target center curve according to the average curve distances;
s302, calculating the average Euclidean deviation between the target center curve and the rest third voltage curve;
and S303, sorting the retired batteries according to the average European deviation and the preset interval range.
In the above embodiment, the voltage curve of the target center curve represents the cells with relatively balanced performance in the same batch of retired cells, and the same batch of retired cells is sorted by determining the target center curve.
After the target center curve is determined, the average Euclidean deviation between the target center curve and the rest of the third voltage curves needs to be calculated, and the average Euclidean deviation reflects the deviation condition between the third voltage curves and the target center curve, so that the retired batteries are sorted.
Referring to fig. 4, fig. 4 is a flowchart of an embodiment of step S301 in fig. 3, where in some embodiments of the present invention, calculating average curve distances between all third voltage curves, determining a target center curve according to the average curve distances includes:
s401, taking the third voltage curve as an alternative central curve in turn;
s402, calculating an average curve distance between the residual third voltage curve and the alternative center curve;
s403, taking the alternative center curve corresponding to the minimum average curve distance as a target center curve.
In the above embodiment, there are a plurality of third voltage curves, in order to determine the most suitable target center curve therefrom, all third voltage curves are alternately used as candidate center curves, the average curve distance between the remaining other third voltage curves and the current candidate center curve is calculated, and when the average curve distance is calculated, the average curve distance is still calculated by the time point, and the specific calculation formula is as follows:
wherein U is i And U centeri The voltage value on the third voltage curve corresponding to the moment i and the voltage value on the alternative center curve are respectively, and n is the number of time points.
And the candidate center curve is the target center curve when the average curve distance between all the third voltage curves and the candidate center curve is the minimum.
In some embodiments of the invention, sorting retired batteries according to average European deviation and a predetermined interval range includes:
dividing the classification intervals of the plurality of retired batteries by a preset interval range, and sorting the retired batteries according to the average European deviation and the classification intervals of the plurality of retired batteries.
In the above embodiment, the plurality of classification intervals are set through the preset interval range, and as a preferred embodiment, the preset interval range may be selected to be 5, that is, each time the average euclidean deviation is separated by 5, the classification intervals are set to be a plurality of classification intervals, for example, 0-5,5-10 … …, and so on, and the specific classification intervals are determined according to the specific numerical value of the average euclidean deviation, so that the sorting of the retired batteries is realized.
In order to better implement the retired battery sorting method based on the time-distance sequence according to the embodiment of the present invention, referring to fig. 5 correspondingly, fig. 5 is a schematic structural diagram of an embodiment of a retired battery sorting device based on the time-distance sequence according to the embodiment of the present invention, and the embodiment of the present invention provides a retired battery sorting device 500 based on the time-distance sequence, which includes:
the pulse test module 510 is configured to perform a charge-discharge pulse test for a first preset time on a plurality of retired batteries to be sorted to obtain a plurality of first voltage curves, and perform a charge-discharge pulse test for a second preset time on new batteries of the same type to obtain a second voltage curve;
the sequence calculating module 520 is configured to calculate a time-distance sequence within a first preset time according to the first voltage curve and the second voltage curve;
the prediction module 530 is configured to predict voltage curves within a third preset time of the plurality of retired batteries to be sorted based on the time distance sequence to obtain a third voltage curve of the plurality of third preset times; the sum of the first preset time and the third preset time is equal to the second preset time;
and the sorting module 540 is configured to calculate an average euclidean deviation according to the third voltage curve, and sort the retired battery according to the average euclidean deviation.
What needs to be explained here is: the apparatus 500 provided in the foregoing embodiments may implement the technical solutions described in the foregoing method embodiments, and the specific implementation principles of the foregoing modules or units may be referred to the corresponding content in the foregoing method embodiments, which is not described herein again.
Referring to fig. 6, fig. 6 is a schematic structural diagram of retired battery sorting equipment based on time-distance sequence according to an embodiment of the present invention. Based on the above-mentioned retired battery sorting method based on the time distance sequence, the invention also correspondingly provides retired battery sorting equipment based on the time distance sequence, and the retired battery sorting equipment based on the time distance sequence can be computing equipment such as a mobile terminal, a desktop computer, a notebook computer, a palm computer, a server and the like. The retired battery sorting apparatus 600 based on a time-distance sequence includes a processor 610, a memory 620, and a display 630. Fig. 6 shows only a portion of the components of the retired battery sorting device based on a time-distance sequence, but it should be understood that not all of the illustrated components are required to be implemented, and that more or fewer components may alternatively be implemented.
Memory 620 may be an internal storage unit of retired battery sorting device 600 based on a time-distance sequence in some embodiments, such as a hard disk or memory of retired battery sorting device 600 based on a time-distance sequence. The memory 620 may also be an external storage device of the retired battery sorting device 600 based on time-distance sequences, such as a plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card) or the like, which is provided on the retired battery sorting device 600 based on time-distance sequences in other embodiments. Further, memory 620 may also include both internal and external memory units of retired battery sorting device 600 based on time-distance sequences. The memory 620 is used for storing application software and various data installed in the retired battery sorting device 600 based on time distance sequences, such as program codes installed in the retired battery sorting device 600 based on time distance sequences. The memory 620 may also be used to temporarily store data that has been output or is to be output. In one embodiment, the memory 620 stores a time-distance-sequence-based retirement battery sorting program 640, where the time-distance-sequence-based retirement battery sorting program 640 is executable by the processor 610 to implement the time-distance-sequence-based retirement battery sorting methods of embodiments of the present application.
Processor 610 may be a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip in some embodiments for executing program code or processing data stored in memory 620, such as performing a time-distance sequence based retired battery sorting method, or the like.
The display 630 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like in some embodiments. The display 630 is used to display information at the retired battery sorting apparatus 600 based on a time-distance sequence and to display a visual user interface. The components 610-630 of the retired battery sorting apparatus 600 based on time-distance sequences communicate with each other via a system bus.
In one embodiment, the steps in the retired battery sorting method based on time-distance sequences as described above are implemented when processor 610 executes retired battery sorting program 640 based on time-distance sequences in memory 620.
The present embodiment also provides a computer-readable storage medium having stored thereon a time-distance sequence based retired battery sorting program that when executed by a processor performs the steps of:
performing charge-discharge pulse test for a first preset time on a plurality of retired batteries to be sorted to obtain a plurality of first voltage curves, and performing charge-discharge pulse test for a second preset time on new batteries of the same type to obtain a second voltage curve;
calculating a time distance sequence in a first preset time according to the first voltage curve and the second voltage curve;
predicting voltage curves in a third preset time of the plurality of retired batteries to be sorted based on the time distance sequence to obtain a third voltage curve of the plurality of third preset times; the sum of the first preset time and the third preset time is equal to the second preset time;
and calculating average Euclidean deviation according to the third voltage curve, and sorting the retired batteries through the average Euclidean deviation.
To sum up, the method, device and equipment for sorting retired batteries based on time distance sequence provided in this embodiment include: performing charge-discharge pulse test for a first preset time on a plurality of retired batteries to be sorted to obtain a plurality of first voltage curves, and performing charge-discharge pulse test for a second preset time on new batteries of the same type to obtain a second voltage curve; calculating a time distance sequence in the first preset time according to the first voltage curve and the second voltage curve; predicting voltage curves of the plurality of retired batteries to be sorted within the third preset time based on the time distance sequence to obtain a plurality of third voltage curves of the third preset time; the sum of the time of the first preset time and the third preset time is equal to the second preset time; and calculating average Euclidean deviation according to the third voltage curve, and sorting the retired batteries according to the average Euclidean deviation. According to the invention, the first voltage curve of the retired battery and the second voltage curve of the new battery are obtained through pulse test, the third voltage curve of the retired battery is predicted through the first voltage curve and the second voltage curve, and then the retired battery is sorted according to the predicted third voltage curve, so that the sorting of the retired battery can be realized only through pulse test and calculation, and the sorting efficiency of the battery is improved.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention.
Claims (10)
1. The retired battery sorting method based on the time distance sequence is characterized by comprising the following steps of:
performing charge-discharge pulse test for a first preset time on a plurality of retired batteries to be sorted to obtain a plurality of first voltage curves, and performing charge-discharge pulse test for a second preset time on new batteries of the same type to obtain a second voltage curve;
calculating a time distance sequence in the first preset time according to the first voltage curve and the second voltage curve;
predicting voltage curves in a third preset time of a plurality of retired batteries to be sorted based on the time distance sequence to obtain a plurality of third voltage curves in the third preset time; the sum of the time of the first preset time and the third preset time is equal to the second preset time;
and calculating average Euclidean deviation according to the third voltage curve, and sorting the retired batteries according to the average Euclidean deviation.
2. The method for sorting retired batteries based on time-distance sequences according to claim 1, wherein said calculating the time-distance sequences within the first preset time from the first voltage curve and the second voltage curve comprises:
setting a plurality of time points in the second preset time;
and calculating curve distances according to the first voltage curve and the second voltage curve for each time point in the first preset time to obtain a time distance sequence.
3. The retired battery sorting method based on time-distance sequence according to claim 1, wherein predicting voltage curves in a third preset time of a plurality of retired batteries to be sorted based on the time-distance sequence to obtain a plurality of third voltage curves in the third preset time comprises:
inputting the time distance sequence into a gray prediction model, and outputting to obtain the time distance sequence within the third preset time;
estimating voltage values of a plurality of time points in the third preset time according to the time distance sequence in the third preset time;
and generating a third voltage curve according to the voltage value in the third preset time and the sequence of the time points.
4. A retired battery sorting method based on time-distance sequences according to claim 3, wherein the estimating the voltage values at a plurality of time points in the third preset time according to the time-distance sequences in the third preset time comprises:
determining standard voltage values of a plurality of time points in the third preset time according to the second voltage curve;
and subtracting the time distance sequence of the corresponding time points from the standard voltage value to obtain voltage values of a plurality of time points in the third preset time.
5. The method for sorting retired batteries based on time-distance sequences according to claim 1, wherein said calculating an average euclidean deviation from said third voltage curve, sorting retired batteries by said average euclidean deviation, comprises:
calculating average curve distances among all the third voltage curves, and determining a target center curve according to the average curve distances;
calculating the average European deviation between the target center curve and the rest of the third voltage curve;
and sorting the retired batteries according to the average European deviation and the preset interval range.
6. The method of time-distance sequence-based retired battery sorting according to claim 5, wherein said calculating an average curve distance between all of the third voltage curves, determining a target center curve based on the average curve distance, comprises:
taking the third voltage curve as an alternative central curve in turn;
calculating an average curve distance between the rest of the third voltage curve and the alternative center curve;
and taking the corresponding alternative center curve when all the average curve distances are minimum as a target center curve.
7. The method for sorting retired batteries based on time-distance sequences according to claim 5, wherein sorting retired batteries according to the average euclidean deviation and a preset interval range comprises:
dividing the classification intervals of the plurality of retired batteries by the preset interval range, and sorting the retired batteries according to the average European deviation and the classification intervals of the plurality of retired batteries.
8. Retired battery sorting unit based on time distance sequence, characterized by, include:
the pulse test module is used for carrying out charge and discharge pulse test for a first preset time on a plurality of retired batteries to be sorted to obtain a plurality of first voltage curves, and carrying out charge and discharge pulse test for a second preset time on new batteries of the same type to obtain a second voltage curve;
the sequence calculation module is used for calculating a time distance sequence in the first preset time according to the first voltage curve and the second voltage curve;
the prediction module is used for predicting the voltage curves of the plurality of retired batteries to be sorted in the third preset time based on the time distance sequence to obtain a plurality of third voltage curves of the third preset time; the sum of the time of the first preset time and the third preset time is equal to the second preset time;
and the sorting module is used for calculating average Euclidean deviation according to the third voltage curve, and sorting the retired batteries according to the average Euclidean deviation.
9. A retired battery sorting device based on a time distance sequence is characterized by comprising a memory and a processor, wherein,
the memory is used for storing programs;
the processor, coupled to the memory, for executing the program stored in the memory to implement the steps in the retired battery sorting method based on time distance sequence according to any of the previous claims 1-7.
10. A computer readable storage medium storing a computer readable program or instructions which, when executed by a processor, is capable of carrying out the steps of the time-distance sequence based retired battery sorting method according to any one of claims 1 to 7.
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