CN117192383A

CN117192383A - Method, device, equipment and medium for determining service life of battery

Info

Publication number: CN117192383A
Application number: CN202311461153.1A
Authority: CN
Inventors: 李洪雷; 王茂旭
Original assignee: Contemporary Amperex Technology Co Ltd
Current assignee: Contemporary Amperex Technology Co Ltd
Priority date: 2023-11-06
Filing date: 2023-11-06
Publication date: 2023-12-08
Anticipated expiration: 2043-11-06
Also published as: CN117192383B

Abstract

The application discloses a method, a device, equipment and a medium for determining the service life of a battery, wherein the method comprises the following steps: obtaining a target corresponding relation corresponding to the first battery, wherein the target corresponding relation is a corresponding relation between a target parameter and a terminal voltage of the first battery in an N-th charge and discharge process, the target parameter is determined based on the change amount of energy in unit time length and the change amount of the terminal voltage in unit time length, and N is a positive integer; obtaining target characteristic parameters of the target corresponding relation; the life of the first battery is determined based on the target characteristic parameter. In this way, battery life may be quickly and accurately determined.

Description

Method, device, equipment and medium for determining service life of battery

Technical Field

The present application relates to the field of battery technologies, and in particular, to a method, an apparatus, a device, and a medium for determining a battery life.

Background

With the continuous development of battery technology, users have increasingly high requirements for accuracy in evaluating battery life.

Currently, the actual measured life of a battery sample is taken as the life of the batch battery, typically by repeatedly charging and discharging the battery sample. However, such determination of battery life is not only inefficient, but also inaccurate.

Therefore, a method capable of quickly and accurately determining the life of a battery is required.

Disclosure of Invention

The application provides a method, a device, equipment and a medium for determining the service life of a battery, which can rapidly and accurately determine the service life of the battery.

In a first aspect, the present application provides a method for determining battery life, comprising: obtaining a target corresponding relation corresponding to the first battery, wherein the target corresponding relation is a corresponding relation between a target parameter and a terminal voltage of the first battery in an N-th charge and discharge process, the target parameter is determined based on the change amount of energy in unit time length and the change amount of the terminal voltage in unit time length, and N is a positive integer; obtaining target characteristic parameters of the target corresponding relation; the life of the first battery is determined based on the target characteristic parameter.

Therefore, the service life of the battery can be determined based on the data of the battery in a certain charge and discharge process, the service life of the battery is not required to be actually measured through repeated charge and discharge, the efficiency is high, and prediction can be carried out on each battery independently, so that the accuracy is high.

In some embodiments, the target correspondence includes a first curve and/or a second curve; the first curve is a curve of the first parameter of the first battery in the N-th charge and discharge process along with the change of the terminal voltage, the first parameter is a ratio of the change amount of the energy in the unit time length to the change amount of the terminal voltage in the unit time length, the second curve is a curve of the second parameter of the first battery in the N-th charge and discharge process along with the change of the energy, and the second parameter is a ratio of the change amount of the terminal voltage in the unit time length to the change amount of the energy in the unit time length.

In this way, the lifetime of the first battery may be determined based on the first curve, the lifetime of the first battery may be determined based on the second curve, and the lifetime of the first battery may be determined based on the first curve and the second curve, so that the lifetime of the first battery may be determined more accurately.

In some embodiments, in a case where the target correspondence includes a first curve, obtaining the target correspondence corresponding to the first battery includes: obtaining a third curve of the first battery, wherein the third curve is a curve of energy variation of the first battery along with terminal voltage in the Nth charge and discharge process; obtaining a derivative of energy opposite terminal voltage in a third curve to obtain a first parameter; the first curve is determined based on the first parameter and the terminal voltage corresponding to the first parameter in the third curve.

Thus, through the above-mentioned process, the first curve can be determined based on the third curve, so that a more accurate target correspondence is obtained.

In some embodiments, in a case where the target correspondence includes the second curve, obtaining the target correspondence corresponding to the first battery includes: obtaining a fourth curve of the first battery, wherein the fourth curve is a curve of the terminal voltage of the first battery changing along with energy in the Nth charge and discharge process; obtaining a derivative of the terminal voltage in the fourth curve to the energy to obtain a second parameter; the second curve is determined based on the second parameter and the corresponding energy of the second parameter in the fourth curve.

Thus, through the above-mentioned process, the second curve can be determined based on the fourth curve, thereby obtaining a more accurate target correspondence.

In some embodiments, obtaining a third curve for the first battery includes: obtaining a plurality of energies and corresponding terminal voltages of the first battery in the Nth charge and discharge process; and determining a third curve according to the plurality of energies and the terminal voltages corresponding to the energies respectively.

Therefore, the charging and discharging curve of the first battery in the Nth charging and discharging process can be calibrated through the process, and a more accurate third curve is obtained.

In some embodiments, obtaining a fourth curve for the first battery includes: obtaining a plurality of energies and corresponding terminal voltages of the first battery in the Nth charge and discharge process; and determining a fourth curve according to the plurality of energies and the terminal voltages corresponding to the energies respectively.

Therefore, the charging and discharging curve of the first battery in the Nth charging and discharging process can be calibrated through the process, and a more accurate fourth curve is obtained.

In some embodiments, the target characteristic parameter comprises a characteristic parameter corresponding to at least one of a characteristic peak position, a characteristic peak value, a characteristic peak intensity, a characteristic peak-to-peak energy difference, a characteristic peak-to-peak voltage difference, a characteristic valley position, and a characteristic Gu Gu value.

In this way, the lifetime of the first battery can be determined more accurately based on the above-described target feature parameters.

In some embodiments, determining the lifetime of the first battery based on the target feature parameter comprises: and predicting the service life of the first battery based on the target characteristic parameters by using the target battery service life prediction model to obtain the service life of the first battery.

In this way, the life of the first battery can be more accurately determined by predicting the life of the first battery based on the target characteristic parameter using the target battery life prediction model.

In some embodiments, before predicting the lifetime of the first battery based on the target feature parameter using the target battery lifetime prediction model, the method further comprises: obtaining a plurality of training samples, wherein the training samples comprise historical characteristic parameters and historical service lives corresponding to the second battery, the historical characteristic parameters are characteristic parameters of historical corresponding relations corresponding to the second battery, the historical corresponding relations are corresponding relations between historical parameters of the second battery in the N-th charge and discharge process and terminal voltages, and the historical parameters are determined based on the change amount of energy in unit time and the change amount of the terminal voltages in unit time; and training the initial battery life prediction model based on a plurality of training samples to obtain a target battery life prediction model.

In this way, the initial battery life prediction model is trained based on a plurality of training samples, so that a target battery life prediction model can be obtained, and the life of the first battery can be predicted based on the target characteristic parameters by using the target battery life prediction model, so that the life of the first battery can be more accurately determined.

In some embodiments, the historical correspondence includes a fifth curve and/or a sixth curve; the fifth curve is a curve of the change of the first historical parameter of the second battery along with the terminal voltage in the Nth charge and discharge process, the first historical parameter is a ratio of the change amount of energy in unit time length to the change amount of the terminal voltage in unit time length, the sixth curve is a curve of the change of the second historical parameter of the second battery along with the energy in the Nth charge and discharge process, and the second historical parameter is a ratio of the change amount of the terminal voltage in unit time length to the change amount of energy in unit time length.

In this way, the historical characteristic parameters can be extracted based on the fifth curve, the historical characteristic parameters can be extracted based on the sixth curve, and the historical characteristic parameters can be extracted based on the fifth curve and the sixth curve, so that more accurate historical characteristic parameters can be obtained as training samples, and the accuracy of predicting the battery life of the target battery life prediction model can be improved.

In some embodiments, obtaining a historical lifetime includes: obtaining the battery capacity of the second battery under the condition that the cycle number of the second battery is M, wherein M is a positive integer; the battery capacity is determined as a historical lifetime.

Therefore, through the process, the battery capacity of the second battery when the second battery circulates to M times can be measured, the accurate historical service life is obtained, and the accuracy of predicting the service life of the battery by the target battery service life prediction model can be improved by performing model training based on the historical service life.

In some embodiments, obtaining a historical lifetime includes: obtaining the cycle number of the second battery under the condition that the battery capacity of the second battery reaches a capacity threshold value; the number of cycles is determined as the historical lifetime.

Thus, through the process, the cycle times when the battery capacity attenuation of the second battery reaches the capacity threshold can be determined, the accurate historical service life is obtained, and the accuracy of predicting the battery life by the target battery life prediction model can be improved by performing model training based on the historical service life.

In some embodiments, after obtaining the plurality of training samples, the method further comprises: obtaining a plurality of first samples, wherein the first samples comprise characteristic parameters and historical service lives of a plurality of characteristics corresponding to the second battery; for each of the plurality of features, the following steps are performed: determining a correlation coefficient between the feature and the historical life based on a plurality of feature parameters corresponding to the feature in the first samples and the historical life corresponding to the feature parameters respectively; and under the condition that the correlation coefficient is larger than the coefficient threshold value, determining the characteristic as the characteristic corresponding to the historical characteristic parameter.

Thus, the characteristics with larger correlation with the service life of the battery can be screened out through the process, and the service life of the battery can be predicted more accurately based on the characteristics.

In a second aspect, the present application provides a battery life determining apparatus comprising: the first obtaining module is used for obtaining a target corresponding relation corresponding to the first battery, wherein the target corresponding relation is a corresponding relation between a target parameter and a terminal voltage of the first battery in an N-th charge and discharge process, the target parameter is determined based on the change amount of energy in unit time length and the change amount of the terminal voltage in unit time length, and N is a positive integer; the second obtaining module is used for obtaining target characteristic parameters of the target corresponding relation; and the determining module is used for determining the service life of the first battery based on the target characteristic parameters.

In a third aspect, the present application provides an electronic device, the device comprising: a processor and a memory storing computer program instructions;

The processor, when executing the computer program instructions, implements a method of determining battery life as shown in any of the embodiments of the first aspect.

In a fourth aspect, the present application provides a computer storage medium having stored thereon computer program instructions which, when executed by a processor, implement a method of determining battery life as shown in any of the embodiments of the first aspect.

In a fifth aspect, embodiments of the present application provide a computer program product, instructions in which, when executed by a processor of an electronic device, cause the electronic device to perform the method of determining battery life shown in any one of the embodiments of the first aspect.

The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to designate like parts throughout the accompanying drawings. In the drawings:

FIG. 1 is a flow chart of a method for determining battery life according to some embodiments of the present application;

FIG. 2 is a schematic diagram of a first curve and a third curve according to some embodiments of the present application;

FIG. 3 is a schematic diagram of a second curve and a fourth curve according to some embodiments of the present application;

FIG. 4 is a graph showing SOH values of a second battery according to some embodiments of the present application;

FIG. 5 is a schematic diagram of a BPNN provided in some embodiments of the present application;

FIG. 6 is a schematic diagram of a battery life determining apparatus according to some embodiments of the present application;

fig. 7 is a schematic structural diagram of an electronic device according to some embodiments of the present application.

Detailed Description

Embodiments of the technical scheme of the present application will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present application, and thus are merely examples, and are not intended to limit the scope of the present application.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion.

In the description of embodiments of the present application, the technical terms "first," "second," and the like are used merely to distinguish between different objects and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated, a particular order or a primary or secondary relationship. In the description of the embodiments of the present application, the meaning of "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 application. 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.

In the description of the embodiments of the present application, the term "and/or" is merely an association relationship describing an association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.

In the description of the embodiments of the present application, the term "plurality" means two or more (including two), and similarly, "plural sets" means two or more (including two), and "plural sheets" means two or more (including two).

The life of the battery may specifically be the cycle life of the battery. Cycle life is the number of repeated charges and discharges a battery can experience, and is an important performance indicator of a battery, and in determining the life of a battery, it is often necessary to conduct hundreds or even thousands of cyclic aging tests. However, the service life of the battery is determined as the service life of the battery to be tested, and even the cycle life of the battery in the same batch is not the same due to the fluctuation of the process parameters in the battery production process, so that the cycle life of a certain battery obtained through the cycle aging test cannot represent the service life of the battery in the same batch.

In order to quickly and accurately determine the service life of the battery, in some embodiments of the present application, the service life of the battery can be determined based on the data of the battery in a certain charge and discharge process, without actually measuring the service life of the battery through repeated charge and discharge, so that the efficiency is high, and each battery can be individually predicted, so that the accuracy is high.

First, a method for determining battery life according to an embodiment of the present application will be described in detail with reference to fig. 1.

Fig. 1 is a schematic flow chart of a method for determining a battery life according to an embodiment of the present application, and it should be noted that the method for determining a battery life may be applied to a device for determining a battery life.

As shown in fig. 1, the method for determining the lifetime of the battery may include the steps of:

s110, obtaining a target corresponding relation corresponding to the first battery;

s120, obtaining target characteristic parameters of the target corresponding relation;

and S130, determining the service life of the first battery based on the target characteristic parameters.

Referring to S110, the target correspondence may be a correspondence between a target parameter and a terminal voltage of the first battery in the nth charge and discharge process. The target parameter may be determined based on the amount of change in the energy per unit time period and the amount of change in the terminal voltage per unit time period. N can be a positive integer, and the specific value of N can be set according to actual requirements. The unit time length can be set according to actual requirements, for example, the unit time length can be 1s.

Specifically, the charging and discharging process may be a charging process, a discharging process, or a charging and discharging process.

For example, N may be 1, and the target correspondence may be a correspondence between a target parameter of the first battery during the first charging and a terminal voltage. That is, the lifetime of the first battery may be determined based on data during the first charge of the first battery.

In some embodiments, to more accurately determine the life of the first battery, the target correspondence may include a first curve and/or a second curve.

The first curve may be a curve of a first parameter of the first battery in the nth charge and discharge process along with the change of the terminal voltage, the first parameter may be a ratio of a change amount of energy in a unit time period to a change amount of the terminal voltage in the unit time period, the second curve may be a curve of a second parameter of the first battery in the nth charge and discharge process along with the change of energy, and the second parameter may be a ratio of a change amount of the terminal voltage in the unit time period to a change amount of energy in the unit time period.

Here, the first curve may be a differential energy curve and the second curve may be a differential voltage curve. Energy may refer to the total amount of electrical energy that the battery is capable of providing.

The first curve may be, for example, a V (k) -IC (k) curve, where k is time, V (k) is the terminal voltage of the battery at time k, IC (k) is a first parameter of the battery at time k,dV is the variation of the terminal voltage of the battery in unit time, dQ is the variation of the energy of the battery in unit time, V (k-1) is the terminal voltage of the battery at the time of k-1, Q (k) is the energy of the battery at the time of k, and Q (k-1) is the energy of the battery at the time of k-1.

The second curve may be a Q (k) -DV (k) curve, where k is time, Q (k) is the energy of the battery at time k, DV (k) is a second parameter of the battery at time k,dV is the variation of the terminal voltage of the battery in unit time, dQ is the batteryThe change amount of energy in unit time length is Q (k-1) which is the energy of the battery at the time of k-1, V (k) which is the terminal voltage of the battery at the time of k, and V (k-1) which is the terminal voltage of the battery at the time of k-1.

In some embodiments, in order to obtain a more accurate target correspondence, where the target correspondence includes a first curve, S110 may include:

Obtaining a third curve of the first battery;

obtaining a derivative of energy opposite terminal voltage in a third curve to obtain a first parameter;

the first curve is determined based on the first parameter and the terminal voltage corresponding to the first parameter in the third curve.

Here, the third curve may be a curve in which energy of the first battery varies with the terminal voltage during the nth charge and discharge. The third curve may be a V (k) -Q (k) curve, for example.

Illustratively, the derivative of Q (k) with respect to V (k) in the V (k) -Q (k) curve may be calculated after the V (k) -Q (k) curve is obtained to obtainThen, based on IC (k) and the corresponding V (k) of IC (k) in the V (k) -Q (k) curve, the V (k) -IC (k) curve can be determined.

In some embodiments, to obtain a more accurate third curve, the obtaining the third curve of the first battery may include:

obtaining a plurality of energies and corresponding terminal voltages of the first battery in the Nth charge and discharge process;

and determining a third curve according to the plurality of energies and the terminal voltages corresponding to the energies respectively.

Here, the first battery may be controlled to perform the nth charge and discharge, and a plurality of energies and terminal voltages corresponding to each energy of the first battery during the nth charge and discharge are obtained, and then the third curve is determined according to the plurality of energies and the terminal voltages corresponding to each energy.

In some embodiments, in order to obtain a more accurate target correspondence, where the target correspondence includes a second curve, S110 may include:

obtaining a fourth curve of the first battery;

obtaining a derivative of the terminal voltage in the fourth curve to the energy to obtain a second parameter;

the second curve is determined based on the second parameter and the corresponding energy of the second parameter in the fourth curve.

Here, the fourth curve may be a curve in which a terminal voltage of the first battery varies with energy during the nth charge and discharge. The fourth curve may be, for example, a Q (k) -V (k) curve.

Illustratively, the derivative of V (k) with respect to Q (k) in the Q (k) -V (k) curve may be calculated after the Q (k) -V (k) curve is obtained to obtainThen, based on DV (k) and corresponding Q (k) of DV (k) in the Q (k) -V (k) curve, the Q (k) -DV (k) curve can be determined.

In some embodiments, to obtain a more accurate fourth curve, the obtaining the fourth curve of the first battery may include:

and determining a fourth curve according to the plurality of energies and the terminal voltages corresponding to the energies respectively.

Here, the first battery may be controlled to perform the nth charge and discharge, and a plurality of energies and terminal voltages corresponding to each energy of the first battery during the nth charge and discharge are obtained, and then the fourth curve is determined according to the plurality of energies and the terminal voltages corresponding to each energy.

In some examples, first, the ambient temperature at which the first battery is located may be adjusted to 25 ℃ and the first battery is left to stand for 10 minutes before the first battery leaves the factory, then the first battery is controlled to discharge to a lower cutoff voltage of 2.0V at a constant power of 0.3P or to discharge to a current of less than 0.05C at a constant voltage of 2.0V for another 30 minutes, then the first battery is controlled to charge to an upper cutoff voltage of 3.8V at a constant power of 0.3P or to charge to a current of less than 0.05C at a constant voltage of 3.8V for another 30 minutes, then the first battery is controlled to discharge to a lower cutoff voltage of 2.0V at a constant power of 0.3P or to discharge to a current of less than 0.05C at a constant voltage of 2.0V for another 30 minutes.

Then, a plurality of Q (k) and V (k) corresponding thereto, respectively, of the first battery in the above-described charging process may be obtained, and a V (k) -Q (k) curve and a Q (k) -V (k) curve may be drawn based on the plurality of Q (k) and V (k) corresponding thereto, respectively.

Finally, the V (k) -IC (k) curve may be determined based on the derivative of Q (k) to V (k) by the V (k) -Q (k) curve, and the Q (k) -DV (k) curve may be determined based on the derivative of V (k) to Q (k) by the Q (k) -V (k) curve.

Wherein the V (k) -Q (k) curve and the V (k) -IC (k) curve may be as shown in fig. 2, and the Q (k) -V (k) curve and the Q (k) -DV (k) curve may be as shown in fig. 3.

Referring to S120, the target feature parameter may include a first feature parameter of the first curve and/or a second feature parameter of the second curve.

The first curve may be subjected to a filtering process before the first characteristic parameter of the first curve is obtained. The second curve may be subjected to a filtering process before the second characteristic parameter of the second curve is obtained.

In some embodiments, to more accurately determine the lifetime of the first battery, the target characteristic parameter may include a characteristic parameter corresponding to at least one of a characteristic peak position, a characteristic peak-to-peak value, a characteristic peak intensity, a characteristic peak-to-peak energy difference, a characteristic peak-to-peak voltage difference, a characteristic valley position, and a characteristic Gu Gu value.

Here, the characteristic peak position may be the abscissa of the peak of the first curve and/or the second curve. The characteristic peak-to-peak value may be the ordinate of the peak of the first curve and/or the second curve. The characteristic peak intensity may be the area of the peak of the first curve and/or the second curve. The characteristic peak-to-peak energy difference may be a peak of the first curve and/or the second curve. The characteristic peak-to-peak voltage difference may be a peak of the first curve and/or the second curve. The feature valley position may be the abscissa of the peak of the first curve and/or the second curve. The feature Gu Guzhi can be the ordinate of the trough of the first curve and/or the second curve.

For example, taking the first curve as an example, as shown in fig. 2, the characteristic peak position may be an abscissa of the first point 210, the characteristic peak value may be an ordinate of the first point 210, the characteristic peak intensity may be an area of the region 220, the characteristic peak-to-peak energy difference may be a difference between energies respectively corresponding to the second point 230 and the third point 240, the characteristic peak-to-peak voltage difference may be a difference between end voltages respectively corresponding to the second point 230 and the third point 240, the characteristic valley position may be an abscissa of the second point 230, and the characteristic Gu Guzhi may be an ordinate of the second point 230. It should be noted that, while a peak and a trough are described herein as an example, the first curve may have one or more peaks, or may have one or more troughs, and the second curve may have one or more peaks, or may have one or more troughs.

Referring to S130, a lifetime of the first battery may be determined based on the target feature parameter. For example, the lifetime of the first battery may be determined before shipment.

The lifetime of the first battery may be the battery capacity of the first battery when the number of cycles is M, or may be the number of cycles when the capacity of the first battery reaches the capacity threshold. M can be a positive integer, and the specific value of M can be set according to actual requirements. The capacity threshold may be set according to actual requirements.

In some embodiments, to more accurately determine the life of the first battery, S130 may include:

and predicting the service life of the first battery based on the target characteristic parameters by using the target battery service life prediction model to obtain the service life of the first battery.

Here, the target battery life prediction model may include, but is not limited to, one of an artificial neural network, a deep learning network, a machine learning network.

The target battery life prediction model may be, for example, a back-propagation artificial neural network (Back Propagation Neural Network, BPNN). BPNN is a network that is capable of automatically extracting and adapting to "rational rules" between learning data through a training and learning process of a large amount of data, and recording it.

Specifically, the target characteristic parameter may be input into the BPNN, and the life of the first battery may be predicted by using the BPNN, and output to obtain the life of the first battery.

In some embodiments, to determine the lifetime of the first battery more accurately, before predicting the lifetime of the first battery based on the target feature parameter by using the target battery lifetime prediction model, the method may further include:

obtaining a plurality of training samples;

and training the initial battery life prediction model based on a plurality of training samples to obtain a target battery life prediction model.

Here, the training sample may include a historical characteristic parameter and a historical lifetime corresponding to the second battery, the model numbers of the second battery and the first battery may be the same, the historical characteristic parameter may be a characteristic parameter of a historical correspondence corresponding to the second battery, the historical correspondence may be a correspondence between a historical parameter of the second battery in an nth charge and discharge process and a terminal voltage, and the historical parameter may be determined based on a variation of energy in a unit duration and a variation of the terminal voltage in the unit duration.

The historical characteristic parameters may include characteristic parameters corresponding to at least one of characteristic peak positions, characteristic peak values, characteristic peak intensities, characteristic peak-to-peak capacity differences, characteristic peak-to-peak voltage differences, characteristic valley positions, and characteristic valley valleys. The feature types corresponding to the feature parameters included in the history feature parameters and the target feature parameters may be the same.

Specifically, a training sample can be input into an initial battery life prediction model, and the life of the second battery is predicted based on historical characteristic parameters by utilizing the initial battery life prediction model to obtain a predicted life; determining a loss function value based on the predicted lifetime and the historical lifetime; and under the condition that the loss function value does not meet the training stop condition, adjusting the model parameters of the initial battery life prediction model until the loss function value meets the training stop condition.

For example, the predicted life and the historical life of the plurality of second batteries may be as shown in fig. 4. The abscissa may be the number of the second battery, the ordinate may be the SOH, and the SOH may be a ratio of the battery capacity of the second battery when the cycle number is M to the initial capacity of the second battery, where the SOH may be used to characterize the lifetime of the battery. The predicted life may be a predicted SOH curve 410 and the historical life may be a historical SOH curve 420.

The initial battery life prediction model may include, but is not limited to, one of an artificial neural network, a deep learning network.

For example, the initial battery life prediction model may be BPNN. As shown in fig. 5, the BPNN includes an input layer 510, a hidden layer 520, and an output layer 530. The process of model training the BPNN may include: forward transfer of information and reverse transfer of error information. The weight value and the threshold value between layers can be adjusted according to the gradient descent method, and iteration is repeated until the error meets the requirement.

In some embodiments, to obtain more accurate historical feature parameters, obtaining the historical feature parameters may include:

obtaining a history corresponding relation corresponding to the second battery;

and obtaining the history characteristic parameters of the history corresponding relation.

Thus, by extracting the characteristics of the history corresponding relation, more accurate history characteristic parameters can be obtained.

In some embodiments, to improve the accuracy of the target battery life prediction model in predicting battery life, the historical correspondence may include a fifth curve and/or a sixth curve.

The fifth curve may be a curve of a first historical parameter of the second battery in the nth charge and discharge process along with the change of the terminal voltage, the first historical parameter may be a ratio of a change amount of energy in a unit time period to a change amount of the terminal voltage in the unit time period, the sixth curve may be a curve of a second historical parameter of the second battery in the nth charge and discharge process along with the change of energy, and the second historical parameter may be a ratio of a change amount of the terminal voltage in the unit time period to a change amount of energy in the unit time period.

Here, the fifth curve may be a differential energy curve, and the sixth curve may be a differential voltage curve.

The fifth curve may be, for example, a V (t) -IC (t) curve, where t is time, V (t) is the terminal voltage of the battery at time t, IC (t) is the first historical parameter of the battery at time t,dV is the variation of the terminal voltage of the battery in unit time, dQ is the variation of the energy of the battery in unit time, V (t-1) is the terminal voltage of the battery at the time t-1, Q (t) is the energy of the battery at the time t, and Q (t-1) is the energy of the battery at the time t-1.

The sixth curve may be a Q (t) -DV (t) curve, where t is time, Q (t) is the energy of the battery at time t, DV (t) is the second historical parameter of the battery at time t,dV is the variation of the terminal voltage of the battery in unit time, dQ is the variation of the energy of the battery in unit time, Q (t-1) is the energy of the battery at the time t-1, V (t) is the terminal voltage of the battery at the time t, and V (t-1) is the terminal voltage of the battery at the time t-1.

In some embodiments, in order to obtain a more accurate history correspondence, in a case where the history correspondence includes a fifth curve, the obtaining the history correspondence corresponding to the second battery may include:

obtaining a seventh curve of the second battery;

obtaining a derivative of energy opposite terminal voltage in a seventh curve to obtain a first historical parameter;

a fifth curve is determined based on the first history parameter and the terminal voltages corresponding to the first history parameter in the seventh curve.

Here, the seventh curve may be a curve in which energy of the second battery varies with the terminal voltage during the nth charge and discharge. Illustratively, the seventh curve may be a V (t) -Q (t) curve.

Illustratively, the derivative of Q (t) with respect to V (t) in the V (t) -Q (t) curve may be calculated after the V (t) -Q (t) curve is obtained to obtainThen, the V (t) -IC (t) curve can be determined based on IC (t) and the corresponding V (t) of IC (t) in the V (t) -Q (t) curve.

Thus, through the above-described process, the fifth curve can be determined based on the seventh curve, thereby obtaining a more accurate history correspondence.

In some embodiments, to obtain a more accurate seventh curve, obtaining the seventh curve of the second battery may include:

obtaining a plurality of energies and corresponding terminal voltages of the second battery in the Nth charge and discharge process;

and determining a seventh curve according to the plurality of energies and the terminal voltages corresponding to the energies respectively.

Here, the second battery may be controlled to perform the nth charge and discharge, and a plurality of energies and terminal voltages corresponding to each energy of the second battery during the nth charge and discharge are obtained, and then the seventh curve is determined according to the plurality of energies and the terminal voltages corresponding to each energy.

Therefore, the charging and discharging curve of the second battery in the Nth charging and discharging process can be calibrated through the process, and a more accurate seventh curve is obtained.

In some embodiments, in order to obtain a more accurate history correspondence, in a case where the history correspondence includes a sixth curve, the obtaining the history correspondence corresponding to the second battery may include:

obtaining an eighth curve of the second battery;

obtaining a derivative of the terminal voltage in the eighth curve to the energy to obtain a second historical parameter;

a sixth curve is determined based on the second historical parameter and the corresponding energy of the second historical parameter in the eighth curve.

Here, the eighth curve may be a curve in which a terminal voltage of the second battery varies with energy during the nth charge and discharge. Illustratively, the eighth curve may be a Q (t) -V (t) curve.

Illustratively, the derivative of V (t) with respect to Q (t) in the Q (t) -V (t) curve may be calculated after the Q (t) -V (t) curve is obtained to obtainThen, based on DV (t) and corresponding Q (t) in the Q (t) -V (t) curve, the Q (t) -DV (t) curve can be determined.

Thus, through the above-described process, the sixth curve can be determined based on the eighth curve, thereby obtaining a more accurate history correspondence.

In some embodiments, to obtain a more accurate eighth curve, the obtaining the eighth curve of the second battery may include:

and determining an eighth curve according to the plurality of energies and the terminal voltages corresponding to the energies respectively.

Here, the second battery may be controlled to perform the nth charge and discharge, and a plurality of energies and terminal voltages corresponding to each energy of the second battery during the nth charge and discharge are obtained, and then the eighth curve is determined according to the plurality of energies and the terminal voltages corresponding to each energy.

Therefore, the charging and discharging curve of the second battery in the Nth charging and discharging process can be calibrated through the process, and a more accurate eighth curve is obtained.

In some examples, first, the ambient temperature at which the second battery is located may be adjusted to 25 ℃ and the second battery is left to stand for 10 minutes before the second battery leaves the factory, then the second battery is controlled to discharge to a lower cutoff voltage at a constant power of 0.3P or to discharge to a current of less than 0.05C at a constant voltage of 2.0V for another 30 minutes, then the second battery is controlled to charge to an upper cutoff voltage at a constant power of 0.3P or to charge to a current of less than 0.05C at a constant voltage of 3.8V for another 30 minutes, then the second battery is controlled to discharge to a lower cutoff voltage at a constant power of 0.3P or to discharge to a current of less than 0.05C at a constant voltage of 2.0V for another 30 minutes.

Then, a plurality of Q (t) and V (t) corresponding to the Q (t) respectively in the charging process of the second battery can be obtained, and a V (t) -Q (t) curve and a Q (t) -V (t) curve are drawn based on the plurality of Q (t) and V (t) corresponding to the Q (t) respectively.

Finally, the V (t) -IC (t) curve may be determined based on the derivative of the Q (t) to V (t) from the V (t) -Q (t) curve, and the Q (t) -DV (t) curve may be determined based on the derivative of the V (t) to Q (t) from the Q (t) -V (t) curve.

In some embodiments, to improve the accuracy of the target battery life prediction model in predicting battery life, obtaining historical life may include:

obtaining the battery capacity of the second battery under the condition that the cycle number of the second battery is M;

the battery capacity is determined as a historical lifetime.

Here, M may be a positive integer.

Specifically, the second battery may be controlled to be repeatedly charged and discharged, and when the number of cycles of the second battery reaches M, the battery capacity of the second battery is obtained and taken as the historical life of the second battery.

Illustratively, S1: the second cell was left to rest for 10 minutes, S2: the second battery is controlled to discharge to the lower cut-off voltage of 2.0V at constant power of 0.3P or to discharge to the current of less than 0.05C at constant voltage of 2.0V, S3: resting for 30 minutes, S4: the second battery is controlled to charge to an upper cut-off voltage of 3.8V at a constant power of 0.3P or to charge to a current of less than 0.05C at a constant voltage of 3.8V, S5: rest for 30 minutes, S6: the second battery is controlled to discharge to the lower cut-off voltage of 2.0V at constant power of 0.3P or to discharge to the current of less than 0.05C at constant voltage of 2.0V. S7: after repeating S4 to S6 for 500 times, the battery capacity of the second battery is acquired, and the battery capacity is taken as the history lifetime.

obtaining the cycle number of the second battery under the condition that the battery capacity of the second battery reaches a capacity threshold value;

the number of cycles is determined as the historical lifetime.

Here, the capacity threshold may be set according to actual demands.

Specifically, the second battery may be controlled to be repeatedly charged and discharged, and when the battery capacity of the second battery decays to the capacity threshold, the number of cycles of the second battery is obtained and taken as the history lifetime of the second battery.

Illustratively, S1: the second cell was left to rest for 10 minutes, S2: the second battery is controlled to discharge to the lower cut-off voltage of 2.0V at constant power of 0.3P or to discharge to the current of less than 0.05C at constant voltage of 2.0V, S3: resting for 30 minutes, S4: the second battery is controlled to charge to an upper cut-off voltage of 3.8V at a constant power of 0.3P or to charge to a current of less than 0.05C at a constant voltage of 3.8V, S5: rest for 30 minutes, S6: the second battery is controlled to discharge to the lower cut-off voltage of 2.0V at constant power of 0.3P or to discharge to the current of less than 0.05C at constant voltage of 2.0V. S7: and repeatedly executing S4-S6 until the battery capacity of the second battery is attenuated to the capacity threshold value, acquiring the cycle number of the second battery, and taking the cycle number as the historical service life.

In some embodiments, to more accurately predict battery life, the method may further include, prior to obtaining the plurality of training samples, the following:

obtaining a plurality of first samples;

for each of the plurality of features, the following steps are performed:

determining a correlation coefficient between the feature and the historical life based on a plurality of feature parameters corresponding to the feature in the first samples and the historical life corresponding to the feature parameters;

and under the condition that the correlation coefficient is larger than the coefficient threshold value, determining the characteristic as the characteristic corresponding to the historical characteristic parameter.

Here, the first sample may include characteristic parameters and historical lives of various characteristics corresponding to the second battery.

The plurality of features may include, but are not limited to, a plurality of feature peak locations, feature peak values, feature peak intensities, feature peak-to-peak capacity differences, feature peak-to-peak voltage differences, feature valley locations, and feature valley valleys.

The correlation coefficient may be a pearson correlation coefficient.

Specifically, based on a plurality of feature parameters corresponding to each feature in the plurality of first samples and historical lifetimes respectively corresponding to the plurality of feature parameters, a pearson correlation coefficient between the feature and the historical lifetime is calculated. If the pearson correlation coefficient is greater than the coefficient threshold, it indicates that the correlation between the feature and the lifetime of the battery is greater, so the lifetime of the battery can be predicted based on the feature, the feature can be determined as a feature corresponding to the historical feature parameter, and model training is performed based on the feature. Further, the target characteristic parameter used in actually predicting the lifetime of the first battery may be a characteristic parameter of such a characteristic.

Based on the same inventive concept, the embodiment of the application also provides a device for determining the service life of the battery. The battery life determining apparatus according to the embodiment of the present application will be described in detail with reference to fig. 6.

Fig. 6 is a schematic diagram showing the construction of a battery life determining apparatus according to an embodiment of the present application.

As shown in fig. 6, the battery life determining apparatus may include:

the first obtaining module 601 is configured to obtain a target corresponding relationship corresponding to the first battery, where the target corresponding relationship is a corresponding relationship between a target parameter of the first battery in an nth charge/discharge process and a terminal voltage, the target parameter is determined based on a variation of energy in a unit duration and a variation of the terminal voltage in the unit duration, and N is a positive integer;

a second obtaining module 602, configured to obtain a target feature parameter of the target correspondence;

a determining module 603 is configured to determine a lifetime of the first battery based on the target feature parameter.

In some embodiments, to more accurately determine the life of the first battery, the target correspondence includes a first curve and/or a second curve;

the first curve is a curve of the first parameter of the first battery in the N-th charge and discharge process along with the change of the terminal voltage, the first parameter is a ratio of the change amount of the energy in the unit time length to the change amount of the terminal voltage in the unit time length, the second curve is a curve of the second parameter of the first battery in the N-th charge and discharge process along with the change of the energy, and the second parameter is a ratio of the change amount of the terminal voltage in the unit time length to the change amount of the energy in the unit time length.

In some embodiments, in order to obtain a more accurate target correspondence, in a case where the target correspondence includes a first curve, the first obtaining module 601 may include:

the first obtaining submodule is used for obtaining a third curve of the first battery, wherein the third curve is a curve of energy variation along with terminal voltage of the first battery in the Nth charge and discharge process;

the second obtaining submodule is used for obtaining the derivative of the energy opposite terminal voltage in the third curve to obtain a first parameter;

the first determining submodule is used for determining a first curve based on the first parameter and the terminal voltage corresponding to the first parameter in the third curve.

In some embodiments, in order to obtain a more accurate target correspondence, in a case where the target correspondence includes a second curve, the first obtaining module 601 may include:

the third obtaining submodule is used for obtaining a fourth curve of the first battery, wherein the fourth curve is a curve of the terminal voltage of the first battery changing along with energy in the Nth charge and discharge process;

the fourth obtaining submodule is used for obtaining the derivative of the terminal voltage in the fourth curve to the energy to obtain a second parameter;

and a second determining sub-module for determining a second curve based on the second parameter and the corresponding energy of the second parameter in the fourth curve.

In some embodiments, to obtain a more accurate third curve, the first obtaining sub-module may include:

the first obtaining unit is used for obtaining a plurality of energies and corresponding terminal voltages of the energies in the Nth charge and discharge process of the first battery;

the first determining unit is used for determining a third curve according to the plurality of energies and the terminal voltages corresponding to the energies respectively.

In some embodiments, to obtain a more accurate fourth curve, the third obtaining sub-module may include:

the second obtaining unit is used for obtaining a plurality of energies and corresponding terminal voltages of the energies in the Nth charge and discharge process of the first battery;

and the second determining unit is used for determining a fourth curve according to the plurality of energies and the terminal voltages corresponding to the energies respectively.

In some embodiments, to more accurately determine the lifetime of the first battery, the target characteristic parameter includes a characteristic parameter corresponding to at least one of a characteristic peak position, a characteristic peak value, a characteristic peak intensity, a characteristic peak-to-peak capacity difference, a characteristic peak-to-peak voltage difference, a characteristic valley position, and a characteristic valley value.

In some embodiments, to more accurately determine the life of the first battery, the determination module 603 may include:

and the prediction sub-module is used for predicting the service life of the first battery based on the target characteristic parameters by using the target battery service life prediction model to obtain the service life of the first battery.

In some embodiments, to more accurately determine the lifetime of the first battery, the apparatus may further include:

the third obtaining module is used for obtaining a plurality of training samples before predicting the service life of the first battery based on the target characteristic parameter by utilizing the target battery service life prediction model to obtain the service life of the first battery, wherein the training samples comprise historical characteristic parameters and historical service lives corresponding to the second battery, the historical characteristic parameters are characteristic parameters of a historical corresponding relation corresponding to the second battery, the historical corresponding relation is a corresponding relation between the historical parameters of the second battery in the N-th charge and discharge process and the terminal voltage, and the historical parameters are determined based on the change amount of energy in unit duration and the change amount of the terminal voltage in unit duration;

and the model training module is used for training the initial battery life prediction model based on a plurality of training samples to obtain a target battery life prediction model.

In some embodiments, to improve the accuracy of the target battery life prediction model in predicting battery life, the historical correspondence includes a fifth curve and/or a sixth curve;

the fifth curve is a curve of the change of the first historical parameter of the second battery along with the terminal voltage in the Nth charge and discharge process, the first historical parameter is a ratio of the change amount of energy in unit time length to the change amount of the terminal voltage in unit time length, the sixth curve is a curve of the change of the second historical parameter of the second battery along with the energy in the Nth charge and discharge process, and the second historical parameter is a ratio of the change amount of the terminal voltage in unit time length to the change amount of energy in unit time length.

In some embodiments, to improve the accuracy of the target battery life prediction model in predicting battery life, the third obtaining module may include:

a seventh obtaining submodule, configured to obtain a battery capacity of the second battery when the cycle number of the second battery is M, where M is a positive integer;

and a third determination sub-module for determining the battery capacity as a historical lifetime.

an eighth obtaining submodule, configured to obtain a cycle number of the second battery when the battery capacity of the second battery reaches a capacity threshold;

and a fourth determination sub-module for determining the number of cycles as a historical lifetime.

In some embodiments, to more accurately predict the life of the battery, the apparatus may further include:

a fourth obtaining module, configured to obtain a plurality of first samples, where the first samples include feature parameters and historical lives of a plurality of features corresponding to the second battery;

the processing module is used for respectively executing the following steps aiming at each of the plurality of characteristics:

determining a correlation coefficient between the feature and the historical life based on a plurality of feature parameters corresponding to the feature in the first samples and the historical life corresponding to the feature parameters respectively;

Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

As shown in fig. 7, the electronic apparatus 7 is capable of realizing a structural diagram of an exemplary hardware architecture of the electronic apparatus according to the battery life determining method and the battery life determining device in the embodiment of the present application. The electronic device may refer to an electronic device in an embodiment of the present application.

The electronic device 7 may comprise a processor 701 and a memory 702 storing computer program instructions.

In particular, the processor 701 may comprise a Central Processing Unit (CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured as one or more integrated circuits implementing embodiments of the present application.

Memory 702 may include mass storage for data or instructions. By way of example, and not limitation, memory 702 may comprise a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, magnetic tape, or universal serial bus (Universal Serial Bus, USB) Drive, or a combination of two or more of the foregoing. The memory 702 may include removable or non-removable (or fixed) media, where appropriate. Memory 702 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 702 is a non-volatile solid state memory. In particular embodiments, memory 702 may include Read Only Memory (ROM), random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory 702 includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors) it is operable to perform the operations described with reference to a method in accordance with an aspect of the application.

The processor 701 implements the method of determining the battery life of any of the above embodiments by reading and executing the computer program instructions stored in the memory 702.

In one example, the electronic device may also include a communication interface 703 and a bus 704. As shown in fig. 7, the processor 701, the memory 702, and the communication interface 703 are connected by a bus 704 and perform communication with each other.

The communication interface 703 is mainly used for implementing communication between each module, device, unit and/or apparatus in the embodiment of the present application.

Bus 704 includes hardware, software, or both that couple components of the electronic device to one another. By way of example, and not limitation, the buses may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a micro channel architecture (MCa) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus, or a combination of two or more of the above. Bus 704 may include one or more buses, where appropriate. Although embodiments of the application have been described and illustrated with respect to a particular bus, the application contemplates any suitable bus or interconnect.

The electronic device may execute the method for determining the battery life in the embodiment of the present application, thereby implementing the method and apparatus for determining the battery life described in connection with fig. 1 to 6.

In addition, in combination with the method for determining the battery life in the above embodiment, the embodiment of the present application may be implemented by providing a computer storage medium. The computer storage medium has stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement a method of determining battery life in any of the above embodiments.

It should be understood that the application is not limited to the particular arrangements and instrumentality described above and shown in the drawings. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between steps, after appreciating the spirit of the present application.

The functional blocks shown in the above-described structural block diagrams may be implemented in hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, the elements of the application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine readable medium or transmitted over transmission media or communication links by a data signal carried in a carrier wave. A "machine-readable medium" may include any medium that can store or transfer information. Examples of machine-readable media include electronic circuitry, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio Frequency (RF) links, and the like. The code segments may be downloaded via computer networks such as the internet, intranets, etc.

It should also be noted that the exemplary embodiments mentioned in this disclosure describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, or may be performed in a different order from the order in the embodiments, or several steps may be performed simultaneously.

Aspects of the present application are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to being, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware which performs the specified functions or acts, or combinations of special purpose hardware and computer instructions.

While the application has been described with reference to a preferred embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the application, and in particular, the technical features set forth in the various embodiments may be combined in any manner so long as there is no structural conflict. The present application is not limited to the specific embodiments disclosed herein, but encompasses all technical solutions falling within the scope of the claims.

Claims

1. A method of determining battery life, comprising:

obtaining a target corresponding relation corresponding to a first battery, wherein the target corresponding relation is a corresponding relation between a target parameter and a terminal voltage of the first battery in an N-th charge and discharge process, the target parameter is determined based on the change amount of energy in unit time length and the change amount of the terminal voltage in unit time length, and N is a positive integer;

obtaining target characteristic parameters of the target corresponding relation;

a lifetime of the first battery is determined based on the target characteristic parameter.

2. The method according to claim 1, wherein the target correspondence comprises a first curve and/or a second curve;

The first curve is a curve of a first parameter of the first battery in the N-th charge and discharge process along with the change of the terminal voltage, the first parameter is a ratio of the change of the energy in the unit time length to the change of the terminal voltage in the unit time length, the second curve is a curve of a second parameter of the first battery in the N-th charge and discharge process along with the change of the energy, and the second parameter is a ratio of the change of the terminal voltage in the unit time length to the change of the energy in the unit time length.

3. The method according to claim 2, wherein, in the case where the target correspondence includes the first curve, the obtaining the target correspondence corresponding to the first battery includes:

obtaining a third curve of the first battery, wherein the third curve is a curve of energy variation of the first battery along with terminal voltage in the Nth charge and discharge process;

obtaining a derivative of energy opposite terminal voltage in the third curve to obtain the first parameter;

4. The method according to claim 2, wherein, in the case where the target correspondence includes the second curve, the obtaining the target correspondence corresponding to the first battery includes:

Obtaining a fourth curve of the first battery, wherein the fourth curve is a curve of the terminal voltage of the first battery changing along with energy in the Nth charge and discharge process;

obtaining a derivative of the terminal voltage in the fourth curve to energy to obtain the second parameter;

5. The method of claim 3, wherein said obtaining a third curve for said first battery comprises:

obtaining a plurality of energies and corresponding terminal voltages of the energies respectively in the Nth charge and discharge process of the first battery;

and determining the third curve according to the plurality of energies and the terminal voltages corresponding to the energies respectively.

6. The method of claim 4, wherein the obtaining a fourth curve of the first battery comprises:

and determining the fourth curve according to the plurality of energies and the terminal voltages corresponding to the energies respectively.

7. The method of claim 1, wherein the target characteristic parameter comprises a characteristic parameter corresponding to at least one of a characteristic peak position, a characteristic peak value, a characteristic peak intensity, a characteristic peak-to-peak energy difference, a characteristic peak-to-peak voltage difference, a characteristic valley position, and a characteristic Gu Gu value.

8. The method of claim 1, wherein the determining the lifetime of the first battery based on the target characteristic parameter comprises:

and predicting the service life of the first battery based on the target characteristic parameters by using a target battery service life prediction model to obtain the service life of the first battery.

9. The method of claim 8, wherein prior to predicting the life of the first battery based on the target characteristic parameter using a target battery life prediction model, the method further comprises:

obtaining a plurality of training samples, wherein the training samples comprise historical characteristic parameters and historical service lives corresponding to a second battery, the historical characteristic parameters are characteristic parameters of a historical corresponding relation corresponding to the second battery, the historical corresponding relation is a corresponding relation between the historical parameters of the second battery in an N-th charge and discharge process and terminal voltages, and the historical parameters are determined based on the change amount of energy in unit time and the change amount of the terminal voltages in unit time;

and training the initial battery life prediction model based on the plurality of training samples to obtain the target battery life prediction model.

10. The method according to claim 9, wherein the historical correspondence comprises a fifth curve and/or a sixth curve;

the fifth curve is a curve of the change of a first historical parameter of the second battery along with the terminal voltage in the N-th charge and discharge process, the first historical parameter is a ratio of the change of energy in unit time length to the change of the terminal voltage in unit time length, the sixth curve is a curve of the change of a second historical parameter of the second battery along with the energy in the N-th charge and discharge process, and the second historical parameter is a ratio of the change of the terminal voltage in unit time length to the change of energy in unit time length.

11. The method of claim 9, wherein obtaining the historical lifetime comprises:

obtaining the battery capacity of the second battery under the condition that the cycle number of the second battery is M, wherein M is a positive integer;

the battery capacity is determined as the historical lifetime.

12. The method of claim 9, wherein obtaining the historical lifetime comprises:

The number of cycles is determined as the historical lifetime.

13. The method of claim 9, wherein prior to the obtaining the plurality of training samples, the method further comprises:

obtaining a plurality of first samples, wherein the first samples comprise characteristic parameters and historical service lives of a plurality of characteristics corresponding to the second battery;

for each of the plurality of features, the following steps are performed:

determining a correlation coefficient between the feature and the historical life based on a plurality of feature parameters corresponding to the feature in the plurality of first samples and the historical life corresponding to the plurality of feature parameters respectively;

and under the condition that the correlation coefficient is larger than a coefficient threshold value, determining the characteristic as the characteristic corresponding to the historical characteristic parameter.

14. A battery life determining apparatus, the apparatus comprising:

the first obtaining module is used for obtaining a target corresponding relation corresponding to the first battery, wherein the target corresponding relation is a corresponding relation between a target parameter and a terminal voltage of the first battery in an N-th charge and discharge process, the target parameter is determined based on the change amount of energy in unit time length and the change amount of the terminal voltage in unit time length, and N is a positive integer;

The second obtaining module is used for obtaining target characteristic parameters of the target corresponding relation;

and the determining module is used for determining the service life of the first battery based on the target characteristic parameters.

15. An electronic device, the device comprising: a processor and a memory storing computer program instructions;

the processor, when executing the computer program instructions, implements the method of determining battery life as claimed in any one of claims 1-13.

16. A computer storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method of determining battery life as claimed in any one of claims 1 to 13.