CN110554322B - Method and device for predicting service life of secondary battery - Google Patents
Method and device for predicting service life of secondary battery Download PDFInfo
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- CN110554322B CN110554322B CN201910936739.6A CN201910936739A CN110554322B CN 110554322 B CN110554322 B CN 110554322B CN 201910936739 A CN201910936739 A CN 201910936739A CN 110554322 B CN110554322 B CN 110554322B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
Abstract
After acquiring historical use information, performance test information and a target use scene of the secondary battery, determining an SOH historical attenuation trend, an actual energy storage parameter and an SOH use attenuation factor according to the historical use information, the performance test information and the target use scene, and determining the service life of the secondary battery in the target use scene according to the SOH historical attenuation trend, the actual energy storage parameter and the SOH use attenuation factor. Because the historical SOH attenuation trend, the actual energy storage parameter and the SOH use attenuation factor are all important parameters influencing the service life of the secondary battery, the service life of the secondary battery in a target service scene can be accurately predicted when the service life of the secondary battery is determined according to the historical SOH attenuation trend, the actual energy storage parameter and the SOH use attenuation factor, and therefore the secondary battery can be effectively utilized secondarily.
Description
Technical Field
The application relates to the technical field of vehicles, in particular to a method and a device for predicting the service life of a secondary battery.
Background
With the spread of electric vehicles, the amount of battery usage has increased dramatically. At present, when the battery is determined to be incapable of meeting the energy supply requirement of the electric automobile, the old battery needs to be replaced by the new battery so as to continue to supply energy to the electric automobile by using the new battery.
The replaced old battery (hereinafter, referred to as a second-hand battery) still has energy storage and energy supply functions, and the second-hand battery can supply energy in other application scenes, so that the second-hand battery can be applied to other application scenes to fully utilize battery resources, and secondary utilization of the second-hand battery is realized.
However, different used batteries have different energy storage parameters, so that the service lives of the different used batteries are different, and the secondary utilization of the used batteries is influenced by the length of the service lives of the used batteries, so that how to accurately determine the service lives of the used batteries is a problem which needs to be solved when the used batteries are secondarily utilized.
Disclosure of Invention
In order to solve the technical problems in the prior art, the application provides a method and a device for predicting the service life of a secondary battery, which can accurately predict the service life of the secondary battery, so that the secondary battery can be effectively utilized.
In order to achieve the above purpose, the technical solutions provided in the embodiments of the present application are as follows:
the embodiment of the application provides a method for predicting the service life of a secondary battery, which comprises the following steps:
acquiring historical use information, performance test information and a target use scene of the secondary battery;
determining the historical attenuation trend of the storage battery capacity SOH according to the historical use information; determining actual energy storage parameters according to the performance test information; determining an SOH use attenuation factor according to a target use scene;
and determining the service life of the secondary battery under a target use scene according to the historical SOH attenuation trend, the actual energy storage parameters and the SOH use attenuation factor.
Optionally, the determining the service life of the secondary battery in the target usage scenario according to the SOH historical attenuation trend, the actual energy storage parameter, and the SOH usage attenuation factor specifically includes:
obtaining an SOH use attenuation trend according to the SOH historical attenuation trend, the actual energy storage parameters and the SOH use attenuation factor;
and determining the service life of the secondary battery under the target use scene according to the SOH use attenuation trend.
Optionally, when the historical usage information includes alarm information and abnormal information, the method further includes:
determining an SOH correction attenuation factor according to the alarm information and the abnormal information;
determining the service life of the secondary battery under a target use scene according to the historical SOH attenuation trend, the actual energy storage parameters and the SOH use attenuation factor, and specifically comprising the following steps:
and determining the service life of the secondary battery under a target use scene according to the historical SOH attenuation trend, the actual energy storage parameters, the SOH use attenuation factor and the SOH correction attenuation factor.
Optionally, the determining an SOH correction attenuation factor according to the alarm information and the abnormal information specifically includes:
determining the unsafe score of the battery according to the alarm information and the abnormal information;
and according to the battery unsafe score, inquiring by using a mapping relation between the battery unsafe score and the SOH correction attenuation factor to determine the SOH correction attenuation factor.
Optionally, the determining, according to the alarm information and the abnormal information, an unsafe score of the battery specifically includes:
acquiring a first score according to the alarm information, and acquiring a second score according to the abnormal information;
carrying out weighted summation by using the first score, the second score, the first weight and the second weight to obtain a battery insecurity score; wherein the first score corresponds to the first weight and the second score corresponds to the second weight.
Optionally, the obtaining of the target usage scenario specifically includes:
and according to the actual energy storage parameters, inquiring by using the mapping relation between the use scene and the battery energy storage requirement, and determining a target use scene.
The embodiment of the present application further provides a device for predicting the service life of a secondary battery, including:
the first acquisition unit is used for acquiring historical use information, performance test information and a target use scene of the secondary battery;
a first determination unit for determining a historical decay trend of the battery capacity SOH according to the historical use information; determining actual energy storage parameters according to the performance test information; determining an SOH use attenuation factor according to a target use scene;
and the second determining unit is used for determining the service life of the secondary battery in a target use scene according to the historical SOH attenuation trend, the actual energy storage parameter and the SOH use attenuation factor.
Optionally, the second determining unit specifically includes:
the first acquisition subunit is used for acquiring the SOH use attenuation trend according to the SOH historical attenuation trend, the actual energy storage parameter and the SOH use attenuation factor;
and the first determining subunit is used for determining the service life of the secondary battery in a target use scene according to the SOH use attenuation trend.
Optionally, the apparatus further comprises:
a third determination unit configured to determine an SOH correction attenuation factor based on alarm information and abnormality information when the history use information includes the alarm information and the abnormality information;
the second determining unit is specifically configured to:
and determining the service life of the secondary battery under a target use scene according to the historical SOH attenuation trend, the actual energy storage parameters, the SOH use attenuation factor and the SOH correction attenuation factor.
Optionally, the third determining unit specifically includes:
the second determining subunit is used for determining the unsafe score of the battery according to the alarm information and the abnormal information;
and the third determining subunit is used for querying by using the mapping relation between the battery unsafe score and the SOH correction attenuation factor according to the battery unsafe score, and determining the SOH correction attenuation factor.
Optionally, the second determining subunit specifically includes:
the first acquisition module is used for acquiring a first score according to the alarm information and acquiring a second score according to the abnormal information;
the second acquisition module is used for carrying out weighted summation by utilizing the first score, the second score, the first weight and the second weight to acquire a battery unsafe score; wherein the first score corresponds to the first weight and the second score corresponds to the second weight.
Optionally, the first obtaining unit specifically includes:
and the fourth determining subunit is used for querying by using the mapping relation between the use scene and the battery energy storage requirement according to the actual energy storage parameter, and determining the target use scene.
Compared with the prior art, the method has the advantages that:
according to the method for predicting the service life of the secondary battery, after historical use information, performance test information and a target use scene of the secondary battery are obtained, the historical SOH attenuation trend of the capacity of the storage battery is determined according to the historical use information, the actual energy storage parameter is determined according to the performance test information, and the SOH use attenuation factor is determined according to the target use scene, so that the service life of the secondary battery in the target use scene is determined according to the SOH historical attenuation trend, the actual energy storage parameter and the SOH use attenuation factor. The SOH historical attenuation trend, the actual energy storage parameter and the SOH use attenuation factor are all important parameters influencing the service life of the secondary battery, so that the service life of the secondary battery in a target use scene can be accurately predicted when the service life of the secondary battery is determined according to the SOH historical attenuation trend, the actual energy storage parameter and the SOH use attenuation factor, and the secondary battery can be effectively utilized in the target use scene.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for predicting the service life of a secondary battery according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a device for predicting the service life of a secondary battery according to an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Method embodiment
Referring to fig. 1, the figure is a flowchart of a method for predicting the service life of a secondary battery according to an embodiment of the present application.
The method for predicting the service life of the second-hand battery provided by the embodiment of the application comprises the following steps of S1-S5:
s1: acquiring historical use information, performance test information and a target use scene of the secondary battery.
The historical use information is used for recording historical use parameter information of the secondary battery; also, the historical usage information may include at least one of parameter information of a battery capacity (State of Health, SOH), abnormality information, and alarm information.
The SOH parameter information may include at least one of an SOH value, a battery internal resistance value, and a charge/discharge performance.
It should be noted that the present embodiment does not limit the source of the historical usage information, for example, the historical usage information may be provided by a vehicle manufacturer or a battery manufacturer.
The performance test information is used for recording the actual energy storage performance information of the second-hand battery; moreover, the performance test information may include actual energy storage parameters of the second-hand battery, where the actual energy storage parameters may include at least one of parameters such as an actual SOH value, an actual battery internal resistance value, and an actual battery charge-discharge performance.
It should be noted that, the source of the performance test information is not limited in the embodiments of the present application, for example, the performance test information may be obtained when a second-hand battery is subjected to a performance test in a laboratory.
The target use scene is used for recording an application scene when the secondary utilization of the secondary battery is carried out; moreover, the target use scene can be an application scene such as a base station, a power station, power scheduling and the like.
It should be noted that, the embodiment of the present application does not limit the manner of acquiring the target usage scenario, for example, the target usage scenario may be directly provided by a user.
In addition, because the energy storage requirements of different target use scenes on the battery are different, the batteries with different energy storage capacities are suitable for different target use scenes, and therefore the target use scenes can be determined according to the actual energy storage parameters of the secondary battery. In this way, an embodiment of the present application further provides another implementation manner of "obtaining a target usage scenario", and in this implementation manner, the obtaining of the target usage scenario may specifically be: and according to the actual energy storage parameters, inquiring by using the mapping relation between the use scene and the battery energy storage requirement, and determining a target use scene.
The mapping relation between the use scene and the battery energy storage requirement is used for recording battery energy storage parameters required under different use scenes.
In the embodiment, when the actual energy storage parameters of the secondary battery are determined, the actual energy storage parameters of the secondary battery are utilized to query the mapping relation between the use scenes and the battery energy storage requirements, so that the use scenes corresponding to the battery energy storage parameter requirements which can be met by the actual energy storage parameters of the secondary battery are screened out, and the use scenes are used as target use scenes.
The above is a specific embodiment of step S1.
S2: and determining the historical attenuation trend of the storage battery capacity SOH according to the historical use information.
The historical SOH attenuation trend is used for recording the attenuation change trend of the secondary battery in the historical use process; furthermore, the SOH history decay tendency may be determined according to the history use information of the secondary battery.
It should be noted that, the embodiment of the present application does not limit the obtaining manner of the SOH historical attenuation trend, for example, a curve fitting may be performed according to the historical SOH related parameter data, and the fitted curve may be used as the SOH historical attenuation trend.
It should be noted that the present embodiment does not limit the expression of the SOH history attenuation trend, for example, regarding the independent variable of the SOH history attenuation trend, the SOH history attenuation trend may be described by using the vehicle mileage as the independent variable, may be described by using the time as the independent variable, or may be described by using the accumulated charge and discharge amount as the independent variable. In addition, as for the dependent variable of the SOH history attenuation tendency, the SOH history attenuation tendency may be described by using the SOH value as the dependent variable, may be described by using the battery internal resistance value as the dependent variable, or may be described by using the battery charge and discharge performance value as the dependent variable.
S3: and determining actual energy storage parameters according to the performance test information.
The actual energy storage parameter is used for recording the actual energy storage capacity of the second-hand battery; moreover, the actual energy storage parameters may include: at least one parameter of an actual SOH value, an actual battery internal resistance value, and an actual charge-discharge performance value.
S4: and determining an SOH use attenuation factor according to the target use scene.
The SOH uses the attenuation factor to record the attenuation speed of the energy storage performance of the secondary battery when the secondary battery is applied to a target use scene; moreover, the larger the SOH use attenuation factor is, the faster the energy storage performance of the secondary battery is attenuated in the target application scene.
The embodiment of the present application does not limit the acquisition mode of the SOH using the attenuation factor. For example, when there is a mapping relationship between the usage scenario and the SOH usage attenuation factor, S4 may specifically be: and according to the target use scene, inquiring by using the mapping relation between the use scene and the SOH use attenuation factor, and determining the SOH use attenuation factor.
It should be noted that the embodiments of the present application do not limit the expression form of the SOH using the attenuation factor. For example, the SOH attenuation factor may be expressed by the rate of decay of the SOH value, the rate of decay of the internal resistance value of the battery, or the rate of decay of the charge/discharge performance of the battery.
S5: and determining the service life of the secondary battery under a target use scene according to the historical SOH attenuation trend, the actual energy storage parameters and the SOH use attenuation factor.
In the embodiment of the application, the historical SOH attenuation trend, the actual energy storage parameter and the SOH use attenuation factor of the secondary battery are all important factors influencing the service life of the secondary battery, so that the service life of the secondary battery in a target service scene can be determined according to the historical SOH attenuation trend, the actual energy storage parameter and the SOH use attenuation factor in order to accurately obtain the service life of the secondary battery.
As an implementation manner, S5 may specifically include steps S51-S52:
s51: and obtaining the SOH use attenuation trend according to the SOH historical attenuation trend, the actual energy storage parameter and the SOH use attenuation factor.
The SOH use attenuation trend is used for recording the attenuation change trend of the energy storage performance of the secondary battery when the secondary battery is applied to a target use scene.
It should be noted that, the embodiment of the present application does not limit the obtaining manner of the SOH use attenuation trend, for example, a curve may be fitted according to the SOH historical attenuation trend, the actual energy storage parameter, and the SOH use attenuation factor, and the fitted curve is used as the SOH use attenuation trend.
It should be noted that the present embodiment does not limit the expression of the SOH use attenuation trend, for example, for the independent variable of the SOH use attenuation trend, the SOH use attenuation trend may be described by using the vehicle mileage as the independent variable, may be described by using the time as the independent variable, or may be described by using the accumulated charge and discharge amount as the independent variable. In addition, as for the dependent variable of the SOH use decay tendency, the SOH use decay tendency may be described by using the SOH value as the dependent variable, may be described by using the battery internal resistance value as the dependent variable, or may be described by using the battery charge and discharge performance value as the dependent variable.
S52: and determining the service life of the secondary battery under the target use scene according to the SOH use attenuation trend.
In the embodiment of the application, when the energy storage performance of the secondary battery is attenuated to a level that cannot meet the battery energy storage performance requirement corresponding to the target usage scenario, it indicates that the secondary battery cannot perform a function for the target usage scenario, that is, the service life of the secondary battery in the target scenario is finished. Therefore, in step S52, the service life of the secondary battery in the target usage scenario may be determined according to the SOH usage decay trend and the battery energy storage performance requirement corresponding to the target usage scenario.
It should be noted that, in the embodiment of the present application, different usage scenarios all correspond to different battery energy storage performance requirements, and different usage scenarios all correspond to different SOH usage attenuation factors, so that the service lives of the same secondary battery in different usage scenarios are different.
The above is a specific embodiment of step S5.
It should be noted that the embodiment of the present application does not limit the execution sequence among steps S2, S3, and S4. For example, steps S2, S3, and S4 may be performed in sequence; steps S3, S2, and S4 may also be performed in sequence; steps S2, S3, and S4 may also be performed in a preset order, wherein the preset order is preset; at least two of the steps S2, S3, and S4 may also be performed simultaneously.
In addition, in practical application, both abnormal events and alarm events which occur in the historical use process of the secondary battery can affect the service life of the secondary battery, so in order to further improve the accuracy of predicting the service life of the secondary battery, the embodiment of the present application further provides another implementation of the method for predicting the service life of the secondary battery, and in this implementation, the method for predicting the service life of the secondary battery may further include steps S6 to S7 in addition to steps S1 to S4:
s6: and when the historical use information comprises alarm information and abnormal information, determining an SOH correction attenuation factor according to the alarm information and the abnormal information.
The alarm information is used for recording relevant information of alarm events of the second-hand battery in the historical use process; the abnormal information is used for recording the related information of the abnormal events of the second-hand battery in the historical use process. In addition, in the practical application process, the abnormal information and the alarm information may be related, for example, both the abnormal information and the alarm information are included in the abnormal alarm information. The specific content of the alarm information and the abnormal information is not limited in the embodiment of the application, for example, the alarm information and the abnormal information may include at least one of battery pack abnormal alarm information, vehicle accident information affecting the battery pack, and battery pack maintenance information.
The SOH correction attenuation factor is used for recording an attenuation speed correction factor of the change of the attenuation speed of the energy storage performance of the secondary battery in the secondary utilization process due to abnormal events and alarm events of the secondary battery in the historical use process.
In addition, in practical application, some secondary batteries are safe to use, but some secondary batteries are unsafe to use, so that in order to avoid unsafe factors brought by the unsafe secondary batteries, the unsafe secondary batteries can be scored first, so that the SOH correction attenuation factors of the secondary batteries can be determined according to the unsafe scores. Thus, the present embodiment also provides an implementation manner of step S6, in which step S6 may specifically include steps S61 to S62:
s61: and determining the unsafe score of the battery according to the alarm information and the abnormal information.
The battery insecurity score is used for recording the insecurity degree of the second-hand battery; moreover, the higher the unsafe score value of the battery, the more unsafe the secondary battery is.
In the embodiment of the present application, both the historical alarm event and the abnormal event of the battery can affect the safety of the battery, but the adverse effect of different alarm events and different abnormal events on the safety of the battery is different, so in order to accurately determine the battery insecurity score, the present application further provides an implementation manner of step S61, in which step S61 specifically includes steps S611 to S612:
s611: and acquiring a first score according to the alarm information.
The first score is used for recording the degree of insecurity caused by the alarm event of the second-hand battery.
The embodiment of the present application does not limit the obtaining manner of the first score, for example, when there is a mapping relationship between the alarm information and the score, step S611 may specifically be: and according to the alarm information, inquiring by using a mapping relation between the alarm information and the score to acquire a first score.
In the embodiment of the present application, the representation form of the first score is not limited. If the number of the alarm information is 1, the first score is a score corresponding to the alarm information, and at the moment, the first score is a numerical value; if the alarm information comprises at least two alarm information, the first score is a set comprising scores corresponding to the plurality of alarm information, and at the moment, the first score is a set.
S612: and acquiring a second score according to the abnormal information.
The second score is used for recording the degree of insecurity caused by the abnormal events of the second-hand battery.
The embodiment of the present application does not limit the obtaining manner of the second score, for example, when there is a mapping relationship between the abnormal information and the score, step S612 may specifically be: and according to the abnormal information, inquiring by using a mapping relation between the abnormal information and the score to obtain a second score.
In the present embodiment, the representation form of the second score is not limited. If the number of the abnormal information is 1, the second score is the score corresponding to the abnormal information, and at the moment, the second score is a numerical value; if the abnormal information includes at least two, the second score is a set including scores corresponding to the abnormal information, and at this time, the second score is a set.
S613: carrying out weighted summation by using the first score, the second score, the first weight and the second weight to obtain a battery insecurity score; wherein the first score corresponds to the first weight and the second score corresponds to the second weight.
The first weight is used to represent the degree of impact of the alarm event on battery safety. It should be noted that, if the first score is a numerical value, the first weight is also a numerical value; if the first score is a set, then the first weight is also a set.
The second weight is used to indicate the degree of influence of the abnormal event on the safety of the battery. It should be noted that, if the second score is a numerical value, the second weight is also a numerical value; if the second score is a set, then the second weight is also a set.
It should be noted that there is no fixed execution order between steps S611 and S612. For example, steps S611 and S612 may be performed sequentially, steps S612 and S611 may be performed sequentially, and steps S611 and S612 may be performed simultaneously.
It should be noted that the first weight and the second weight may be set according to an application scenario, or may be obtained by learning a large amount of data using algorithms such as big data analysis and deep learning.
The above is a specific embodiment of step S61.
S62: and according to the battery unsafe score, inquiring by using a mapping relation between the battery unsafe score and the SOH correction attenuation factor to determine the SOH correction attenuation factor.
And recording the SOH correction attenuation factor corresponding to the unsafe score of the secondary battery according to the mapping relation between the battery unsafe score and the SOH correction attenuation factor.
The above is a specific embodiment of step S6.
S7: and determining the service life of the secondary battery under a target use scene according to the historical SOH attenuation trend, the actual energy storage parameters, the SOH use attenuation factor and the SOH correction attenuation factor.
As an implementation manner, S7 may specifically include steps S71-S72:
s71: determining an actual attenuation factor for the SOH based on the SOH using an attenuation factor and the SOH correction attenuation factor.
It should be noted that the embodiment of the present application does not limit the method for acquiring the actual SOH attenuation factor. For example, S71 may specifically be: and adding the SOH by using an attenuation factor and the SOH correction attenuation factor to obtain an SOH actual attenuation factor.
S72: and determining the service life of the secondary battery under a target use scene according to the historical SOH attenuation trend, the actual energy storage parameter and the actual SOH attenuation factor.
The step S72 may be implemented by any embodiment of the step S5, and the "SOH use damping factor" in the step S5 may be replaced with the "SOH actual damping factor", and please refer to the step S5 for detailed technical details.
The above is a specific embodiment of step S7.
It should be noted that the embodiment of the present application does not limit the execution sequence among steps S2, S3, S4 and S6. For example, steps S2, S3, S4, and S6 may be performed in sequence; steps S3, S2, S4, and S6 may also be performed in sequence; steps S2, S3, S4 and S6 may also be performed in a preset order, wherein the preset order is preset; at least two of the steps S2, S3, S4, and S6 may also be performed simultaneously.
In the specific implementation of the method for predicting the service life of the secondary battery provided above for the method embodiment, after acquiring historical usage information, performance test information, and a target usage scenario of the secondary battery, a historical SOH attenuation trend of the storage battery capacity is determined according to the historical usage information, an actual energy storage parameter is determined according to the performance test information, and an SOH usage attenuation factor is determined according to the target usage scenario, so that the service life of the secondary battery in the target usage scenario is determined according to the historical SOH attenuation trend, the actual energy storage parameter, and the SOH usage attenuation factor. Because the historical SOH attenuation trend, the actual energy storage parameter and the SOH use attenuation factor are all important parameters influencing the service life of the secondary battery, the service life of the secondary battery in a target use scene can be accurately predicted when the service life of the secondary battery is determined according to the historical SOH attenuation trend, the actual energy storage parameter and the SOH use attenuation factor, and the secondary battery can be effectively utilized secondarily in the target use scene.
Based on the method for predicting the service life of the secondary battery provided by the method embodiment, the embodiment of the application also provides a device for predicting the service life of the secondary battery, which is explained and explained with reference to the accompanying drawings.
Device embodiment
For the technical details of the device for predicting the service life of the secondary battery provided by the embodiment of the device, please refer to the embodiment of the method.
Referring to fig. 2, the diagram is a schematic structural diagram of a device for predicting the service life of a secondary battery according to an embodiment of the present application.
The utility model provides a used battery life's prediction unit who provides of this application embodiment includes:
the first acquisition unit 21 is used for acquiring historical use information, performance test information and a target use scene of the secondary battery;
a first determination unit 22 for determining a history decay trend of the battery capacity SOH based on the history use information; determining actual energy storage parameters according to the performance test information; determining an SOH use attenuation factor according to a target use scene;
and the second determining unit 23 is configured to determine the service life of the secondary battery in a target usage scenario according to the SOH historical attenuation trend, the actual energy storage parameter, and the SOH usage attenuation factor.
As an embodiment, in order to improve the accuracy of predicting the service life of the secondary battery, the second determining unit 23 specifically includes:
the first acquisition subunit is used for acquiring the SOH use attenuation trend according to the SOH historical attenuation trend, the actual energy storage parameter and the SOH use attenuation factor;
and the first determining subunit is used for determining the service life of the secondary battery in a target use scene according to the SOH use attenuation trend.
As an embodiment, in order to improve the accuracy of predicting the service life of the secondary battery, the apparatus further includes:
a third determination unit configured to determine an SOH correction attenuation factor based on alarm information and abnormality information when the history use information includes the alarm information and the abnormality information;
the second determining unit 23 is specifically configured to:
and determining the service life of the secondary battery under a target use scene according to the historical SOH attenuation trend, the actual energy storage parameters, the SOH use attenuation factor and the SOH correction attenuation factor.
As an embodiment, in order to improve the accuracy of predicting the service life of the secondary battery, the third determining unit specifically includes:
the second determining subunit is used for determining the unsafe score of the battery according to the alarm information and the abnormal information;
and the third determining subunit is used for querying by using the mapping relation between the battery unsafe score and the SOH correction attenuation factor according to the battery unsafe score, and determining the SOH correction attenuation factor.
As an embodiment, in order to improve the accuracy of predicting the service life of the secondary battery, the second determining subunit specifically includes:
the first acquisition module is used for acquiring a first score according to the alarm information and acquiring a second score according to the abnormal information;
the second acquisition module is used for carrying out weighted summation by utilizing the first score, the second score, the first weight and the second weight to acquire a battery unsafe score; wherein the first score corresponds to the first weight and the second score corresponds to the second weight.
As an embodiment, in order to improve the accuracy of predicting the service life of the secondary battery, the first obtaining unit 21 specifically includes:
and the fourth determining subunit is used for querying by using the mapping relation between the use scene and the battery energy storage requirement according to the actual energy storage parameter, and determining the target use scene.
In the specific implementation of the device for predicting the service life of the secondary battery provided above for the device embodiment, after acquiring historical usage information, performance test information, and a target usage scenario of the secondary battery, a historical SOH attenuation trend of the storage battery capacity is determined according to the historical usage information, an actual energy storage parameter is determined according to the performance test information, and an SOH usage attenuation factor is determined according to the target usage scenario, so that the service life of the secondary battery in the target usage scenario is determined according to the historical SOH attenuation trend, the actual energy storage parameter, and the SOH usage attenuation factor. Because the historical SOH attenuation trend, the actual energy storage parameter and the SOH use attenuation factor are all important parameters influencing the service life of the secondary battery, the service life of the secondary battery in a target use scene can be accurately predicted when the service life of the secondary battery is determined according to the historical SOH attenuation trend, the actual energy storage parameter and the SOH use attenuation factor, and the secondary battery can be effectively utilized secondarily in the target use scene.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
The foregoing is merely a preferred embodiment of the invention and is not intended to limit the invention in any manner. Although the present invention has been described with reference to the preferred embodiments, it is not intended to be limited thereto. Those skilled in the art can make numerous possible variations and modifications to the present teachings, or modify equivalent embodiments to equivalent variations, without departing from the scope of the present teachings, using the methods and techniques disclosed above. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (4)
1. A method for predicting the service life of a secondary battery is characterized by comprising the following steps:
acquiring historical use information, performance test information and a target use scene of the secondary battery; the acquiring of the target use scene specifically includes: according to the actual energy storage parameters, inquiring by using the mapping relation between the use scene and the battery energy storage requirement, and determining a target use scene;
determining the historical attenuation trend of the storage battery capacity SOH according to the historical use information; determining actual energy storage parameters according to the performance test information; determining an SOH use attenuation factor according to a target use scene; the SOH use attenuation factor is used for recording the attenuation speed of the energy storage performance of a secondary battery when the secondary battery is applied to the target application scene, and the higher the SOH use attenuation factor is, the higher the attenuation speed of the energy storage performance of the secondary battery in the target application scene is;
determining the service life of the secondary battery under a target use scene according to the historical SOH attenuation trend, the actual energy storage parameters and the SOH use attenuation factor;
when the historical usage information includes alarm information and anomaly information, the method further includes:
acquiring a first score according to the alarm information, and acquiring a second score according to the abnormal information;
carrying out weighted summation by using the first score, the second score, the first weight and the second weight to obtain a battery insecurity score; wherein the first score corresponds to the first weight and the second score corresponds to the second weight;
according to the battery unsafe score, utilizing a mapping relation between the battery unsafe score and the SOH correction attenuation factor to query, and determining the SOH correction attenuation factor; the SOH correction attenuation factor is used for recording an attenuation speed correction factor of the change of the attenuation speed of the energy storage performance of the secondary battery in the secondary utilization process caused by abnormal events and alarm events of the secondary battery in the historical use process;
determining the service life of the secondary battery under a target use scene according to the historical SOH attenuation trend, the actual energy storage parameters and the SOH use attenuation factor, and specifically comprising the following steps:
and determining the service life of the secondary battery under a target use scene according to the historical SOH attenuation trend, the actual energy storage parameters, the SOH use attenuation factor and the SOH correction attenuation factor.
2. The method according to claim 1, wherein the determining the service life of the secondary battery in a target usage scenario according to the SOH historical decay trend, the actual energy storage parameter and the SOH usage decay factor specifically comprises:
obtaining an SOH use attenuation trend according to the SOH historical attenuation trend, the actual energy storage parameters and the SOH use attenuation factor; the SOH use attenuation trend is used for recording the attenuation change trend of the energy storage performance of a secondary battery when the secondary battery is applied to the target use scene;
and determining the service life of the secondary battery under the target use scene according to the SOH use attenuation trend.
3. A device for predicting the service life of a secondary battery, comprising:
the first acquisition unit is used for acquiring historical use information, performance test information and a target use scene of the secondary battery; the acquiring of the target use scene specifically includes: according to the actual energy storage parameters, inquiring by using the mapping relation between the use scene and the battery energy storage requirement, and determining a target use scene;
a first determination unit for determining a historical decay trend of the battery capacity SOH according to the historical use information; determining actual energy storage parameters according to the performance test information; determining an SOH use attenuation factor according to a target use scene; the SOH use attenuation factor is used for recording the attenuation speed of the energy storage performance of a secondary battery when the secondary battery is applied to the target application scene, and the higher the SOH use attenuation factor is, the higher the attenuation speed of the energy storage performance of the secondary battery in the target application scene is;
the second determining unit is used for determining the service life of the secondary battery in a target use scene according to the historical SOH attenuation trend, the actual energy storage parameters and the SOH use attenuation factor;
the device further comprises:
a third determination unit configured to determine an SOH correction attenuation factor based on alarm information and abnormality information when the history use information includes the alarm information and the abnormality information; the SOH correction attenuation factor is used for recording an attenuation speed correction factor of the change of the attenuation speed of the energy storage performance of the secondary battery in the secondary utilization process caused by abnormal events and alarm events of the secondary battery in the historical use process;
the third determining unit specifically includes:
the second determining subunit is used for determining the unsafe score of the battery according to the alarm information and the abnormal information;
the third determining subunit is used for querying by using the mapping relation between the battery unsafe score and the SOH correction attenuation factor according to the battery unsafe score and determining the SOH correction attenuation factor;
the second determining subunit specifically includes:
the first acquisition module is used for acquiring a first score according to the alarm information and acquiring a second score according to the abnormal information;
the second acquisition module is used for carrying out weighted summation by utilizing the first score, the second score, the first weight and the second weight to acquire a battery unsafe score; wherein the first score corresponds to the first weight and the second score corresponds to the second weight;
the second determining unit is specifically configured to:
and determining the service life of the secondary battery under a target use scene according to the historical SOH attenuation trend, the actual energy storage parameters, the SOH use attenuation factor and the SOH correction attenuation factor.
4. The apparatus according to claim 3, wherein the second determining unit specifically includes:
the first acquisition subunit is used for acquiring the SOH use attenuation trend according to the SOH historical attenuation trend, the actual energy storage parameter and the SOH use attenuation factor; the SOH use attenuation trend is used for recording the attenuation change trend of the energy storage performance of a secondary battery when the secondary battery is applied to the target use scene;
and the first determining subunit is used for determining the service life of the secondary battery in a target use scene according to the SOH use attenuation trend.
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| CN111596222B (en) * | 2020-04-23 | 2022-08-05 | 东软睿驰汽车技术（沈阳）有限公司 | Method and related device for obtaining state of health of vehicle battery |
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