CN109063260B - Aging trend judging method and device for power battery - Google Patents
Aging trend judging method and device for power battery Download PDFInfo
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- CN109063260B CN109063260B CN201810712192.7A CN201810712192A CN109063260B CN 109063260 B CN109063260 B CN 109063260B CN 201810712192 A CN201810712192 A CN 201810712192A CN 109063260 B CN109063260 B CN 109063260B
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Abstract
The embodiment of the invention provides a method and a device for judging the aging trend of a power battery, wherein the method comprises the following steps: acquiring alarm information of the power battery; the alarm information comprises a characteristic label; extracting a specified characteristic label from the alarm; acquiring corresponding working condition data according to the characteristic tag; generating sample data by adopting the working condition data; acquiring principal component data in the sample data; and determining the main component data as an aging factor of the power battery. The embodiment of the invention can extract the key aging factors influencing the aging of the power battery from the working condition data corresponding to the alarm types of different programs, and improves the accuracy of extracting the aging factors of the power battery.
Description
Technical Field
The invention relates to the technical field of storage batteries, in particular to a method and a device for judging the aging trend of a power battery.
Background
The power battery is a core component of an electric automobile, and the health state of the power battery directly influences the running performance and safety of the automobile. Unlike conventional automobiles, the aging of power cells tends to be more pronounced. The industry's decommissioning requirement for power cells is typically a capacity decay to 80% of the initial capacity, after which the power cells' health and state of life will exhibit a tendency to slip down.
In the practical environment, the individual condition of each power battery is different, and the use condition is also different, so that even the power battery with the compliant surface can have certain accelerated aging condition.
Over the life of a battery, as many as 30 alarm types can occur in varying degrees of conditions, which more or less affect the remaining life of the battery pack, and therefore, how accurately the primary factors affecting battery aging are determined is of great importance.
Disclosure of Invention
In view of the above problems, the embodiments of the present invention provide a method for determining an aging trend of a power battery and a corresponding apparatus for determining an aging trend of a power battery.
In order to solve the above problems, an embodiment of the present invention discloses a method for determining an aging trend of a power battery, including:
acquiring alarm information of the power battery; the alarm information comprises a characteristic label;
extracting a specified characteristic label from the alarm;
acquiring corresponding working condition data according to the characteristic tag;
generating sample data by adopting the working condition data;
acquiring principal component data in the sample data;
and determining the main component data as an aging factor of the power battery.
Preferably, the specified feature tag includes a capacity and an internal resistance; the working condition data corresponding to the capacity comprises voltage, current and temperature, and the working condition data corresponding to the internal resistance comprises temperature.
Preferably, before the step of generating the sample data using the operating condition data, the method further includes:
judging whether the working condition data are valid or not;
if yes, the working condition data are reserved; and if not, discarding the working condition data.
Preferably, the step of generating sample data using the operating mode data includes:
carrying out centering treatment or normalization treatment on the working condition data to obtain treated working condition data;
and taking the processed working condition data as sample data.
Preferably, principal component data in the sample data is obtained by a principal component analysis method.
Correspondingly, the embodiment of the invention discloses an aging trend judging device of a power battery, which comprises the following steps:
the alarm information acquisition module is used for acquiring the alarm information of the power battery; the alarm information comprises a characteristic label;
the feature tag extraction module is used for extracting a specified feature tag from the alarm;
the working condition data acquisition module is used for acquiring corresponding working condition data according to the characteristic tag;
the sample data generation module is used for generating sample data by adopting the working condition data;
the principal component acquisition module is used for acquiring principal component data in the sample data;
and the judging module is used for determining the main component data as an aging factor of the power battery.
Preferably, the specified feature tag includes a capacity and an internal resistance; the working condition data corresponding to the capacity comprises voltage, current and temperature, and the working condition data corresponding to the internal resistance comprises temperature.
Preferably, the method further comprises:
the validity judging module is used for judging whether the working condition data are valid or not;
and the filtering module is used for reserving the working condition data or discarding the working condition data.
Preferably, the sample data generating module includes:
the preprocessing sub-module is used for carrying out centering processing or normalization processing on the working condition data to obtain processed working condition data;
and the determining submodule is used for taking the processed working condition data as sample data.
Preferably, principal component data in the sample data is obtained by a principal component analysis method.
The embodiment of the invention has the following advantages:
in the embodiment of the invention, firstly, the alarm information of the power battery is acquired; the alarm information comprises a characteristic label; and extracting a specified characteristic tag from the alarm, acquiring corresponding working condition data according to the characteristic tag, generating sample data by adopting the working condition data, and finally acquiring main component data in the sample data, and determining the main component data as an aging factor of the power battery. The embodiment of the invention can extract the key aging factors influencing the aging of the power battery from the working condition data corresponding to the alarm types of different programs, and improves the accuracy of extracting the aging factors of the power battery.
Drawings
FIG. 1 is a flowchart illustrating steps of an embodiment of a method for determining a trend of aging of a power battery according to the present invention;
fig. 2 is a block diagram showing an embodiment of a power cell aging trend judging apparatus according to the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Referring to fig. 1, a flowchart illustrating steps of an embodiment of a method for determining an aging trend of a power battery according to the present invention may specifically include the following steps:
in the embodiment of the invention, the alarm information can be extracted from the calendar data. The historical data may include data of voltage, current, temperature, state of charge, state of health, power state, alert information, capacity, internal resistance, differential pressure, self-discharge, etc. of the power battery during service. In practical application, the historical data can be collected through a battery management system, and the collected data can be stored in a local database to be used as the historical data of the power battery; the collected data can also be uploaded to a server and stored in a database of the server to be used as historical data of the power battery. The process and mode of collecting data and storing data can be set according to actual requirements, and the embodiment of the invention is not limited in this way.
The historical data can be obtained directly from the database, whether the database is local or the database in the server.
It should be noted that, the "history data" is a time node for determining the aging trend, and because these data are collected before the time node for determining the aging trend, they are called "history data", and the collection of the data is actually collected in real time.
In addition, the embodiment of the invention can evaluate the power battery which is in service besides the power battery which is out of service.
In practical applications, the alarm information may include a plurality of types, each type corresponding to a characteristic tag, such as voltage, current, capacity, internal resistance, and the like. Such as: the alarm types related to the voltage include overhigh total voltage, overlow total voltage, overhigh single voltage and overlow single voltage, and in the summary alarm types, the four alarm types can be combined and integrated and are all used as the voltage alarm types.
in practical applications, the aging factors of the power battery mainly include two problems of capacity fading and internal resistance increase, so in the embodiment of the invention, the designated feature tag may include capacity and internal resistance.
specifically, the factors related to the capacity include voltage, current and temperature, and thus the operating condition data corresponding to the capacity may include a voltage value, a current value and a temperature value, and the main factors related to the internal resistance include temperature, and thus the data corresponding to the internal resistance may include a temperature value.
Of course, the working condition data may include other working condition data besides the above items, such as the time of uploading information by the BMS (BATTERY MANAGEMENT SYSTEM ), the serial number, the number of charging times, the rated capacity, the current charge accumulation capacity, the charging state, etc., and some features may relate to the data of the unit cell and the BATTERY pack, and may be specifically adjusted according to the requirements in practical application, which is not limited by the embodiment of the present invention.
Since the BMS is also used to upload information time, serial number, charging times, rated capacity, current charge accumulation capacity, charge state, etc. when preprocessing data, certain features also relate to fields such as data of the unit cell and the battery pack, only fields related to capacity or internal resistance are reserved before the principal component analysis is performed, for example, the capacity is saved: voltage related field, current related field, temperature related field, days of use, equivalent number of cycles.
Before the step of generating the sample data by using the working condition data, the method further comprises the following steps:
judging whether the working condition data are valid or not;
if yes, the working condition data are reserved; if not, discarding the working condition data
Specifically, the duplicate value and the null value are removed from the working condition data, and then the abnormal value is removed according to the technical protocol standard, so that the reasonable and effective available data can be ensured, and the effective working condition data can be reserved; if some of the operating condition data are invalid data, the invalid operating condition data are discarded.
104, generating sample data by adopting the working condition data;
the step of generating sample data by using the working condition data comprises the following steps:
carrying out centering treatment or normalization treatment on the working condition data to obtain treated working condition data;
and taking the processed working condition data as sample data.
Specifically, the effective working condition data is subjected to centering treatment or normalization treatment, and then the treated working condition data is manufactured into sample data, wherein x can be used for the working condition data 1 ,x 2 ,...,x n To represent.
in the embodiment of the invention, the principal component data in the sample data is obtained by a principal component analysis method. Specifically, first, orthogonal transformation is performed:
where i represents a feature number and j represents the number of data for each feature.
Then, covariance matrix is calculated on the sample, and the m values of the number of principal components are determined according to the characteristic root:
each feature root corresponds to a feature vector b j Finally, the standardized index variable is converted into a main component:
u j ＝z i T *b j ；
where j=1, 2, m, m is main component data, u j I.e. the j-th principal component. And carrying out weighted summation on the m principal components to obtain a final evaluation value, wherein the weight is the variance contribution rate of each principal component.
And 106, determining the main component data as an aging factor of the power battery.
For example, V, I, T, time _ date, chrstate, packstate, such as these 6 features, V and I become U1 by principal component analysis, the variance contribution ratio is 0.5; t and Time_date become U2, and the variance contribution rate is 0.4; the christate and the pack become U3, and the variance contribution ratio is 0.1. And u1+u2=0.9 >0.85, then U3 can be discarded, and U1 and U2 are the last determined principal component data, namely the aging factor.
Note that, the sum of the variance contribution rates of the respective principal components is 1, for example, if there are three variance contribution rates U1, U2, U3, u1+u2+u3=1; if there are four variance contribution rates U1, U2, U3, U4, u1+u2+u3+u4=1.
In the embodiment of the invention, firstly, the alarm information of the power battery is acquired; the alarm information comprises a characteristic label; and extracting a specified characteristic tag from the alarm, acquiring corresponding working condition data according to the characteristic tag, generating sample data by adopting the working condition data, and finally acquiring main component data in the sample data, and determining the main component data as an aging factor of the power battery. The embodiment of the invention can extract the key aging factors influencing the aging of the power battery from the working condition data corresponding to the alarm types of different programs, and improves the accuracy of extracting the aging factors of the power battery.
It should be noted that, for simplicity of description, the method embodiments are shown as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts are not necessarily required by the embodiments of the invention.
Referring to fig. 2, a block diagram of an embodiment of an aging trend determining apparatus for a power battery according to the present invention may specifically include the following modules:
an alarm information acquisition module 201, configured to acquire alarm information of the power battery; the alarm information comprises a characteristic label;
a feature tag extraction module 202, configured to extract a specified feature tag from the alert;
the working condition data acquisition module 203 is configured to acquire corresponding working condition data according to the feature tag;
a sample data generating module 204, configured to generate sample data using the working condition data;
a principal component acquisition module 205, configured to acquire principal component data in the sample data;
a determination module 206 is configured to determine the principal component data as an aging factor of the power battery.
In a preferred embodiment of the present invention, the specified feature label includes a capacity and an internal resistance; the working condition data corresponding to the capacity comprises voltage, current and temperature, and the working condition data corresponding to the internal resistance comprises temperature.
In a preferred embodiment of the present invention, further comprising:
the validity judging module is used for judging whether the working condition data are valid or not;
and the filtering module is used for reserving the working condition data or discarding the working condition data.
In a preferred embodiment of the present invention, the sample data generating module includes:
the preprocessing sub-module is used for carrying out centering processing or normalization processing on the working condition data to obtain processed working condition data;
and the determining submodule is used for taking the processed working condition data as sample data.
In a preferred embodiment of the present invention, the principal component data in the sample data is obtained by principal component analysis.
For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the invention may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or 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, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The method and the device for judging the aging trend of the power battery provided by the invention are described in detail, and specific examples are applied to illustrate the principle and the implementation mode of the invention, and the description of the examples is only used for helping to understand the method and the core idea of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (6)
1. The method for judging the aging trend of the power battery is characterized by comprising the following steps of:
acquiring alarm information of the power battery; the alarm information comprises a characteristic label;
extracting a specified characteristic label from the alarm information;
acquiring corresponding working condition data according to the characteristic tag;
generating sample data by adopting the working condition data;
acquiring principal component data in the sample data;
determining the principal component data as an aging factor of the power battery;
before the step of generating the sample data by using the working condition data, the method further comprises the following steps:
judging whether the working condition data are valid or not;
if yes, the working condition data are reserved; if not, discarding the working condition data;
the step of generating sample data by using the working condition data comprises the following steps:
carrying out centering treatment or normalization treatment on the working condition data to obtain treated working condition data;
and taking the processed working condition data as sample data.
2. The method of claim 1, wherein the specified signature tag comprises a capacity and an internal resistance; the working condition data corresponding to the capacity comprises voltage, current and temperature, and the working condition data corresponding to the internal resistance comprises temperature.
3. The method of claim 1, wherein principal component data in the sample data is obtained using principal component analysis.
4. An aging trend judging device for a power battery, comprising:
the alarm information acquisition module is used for acquiring the alarm information of the power battery; the alarm information comprises a characteristic label;
the feature tag extraction module is used for extracting a specified feature tag from the alarm information;
the working condition data acquisition module is used for acquiring corresponding working condition data according to the characteristic tag;
the validity judging module is used for judging whether the working condition data are valid or not;
the filtering module is used for reserving the working condition data or discarding the working condition data;
the sample data generation module is used for generating sample data by adopting the working condition data;
the principal component acquisition module is used for acquiring principal component data in the sample data;
a determination module for determining the principal component data as an aging factor of the power battery;
the sample data generation module includes:
the preprocessing sub-module is used for carrying out centering processing or normalization processing on the working condition data to obtain processed working condition data;
and the determining submodule is used for taking the processed working condition data as sample data.
5. The apparatus of claim 4, wherein the specified signature tag comprises a capacity and an internal resistance; the working condition data corresponding to the capacity comprises voltage, current and temperature, and the working condition data corresponding to the internal resistance comprises temperature.
6. The apparatus of claim 4, wherein principal component data in the sample data is obtained using principal component analysis.
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| JP2007067661A (en) * | 2005-08-30 | 2007-03-15 | Konica Minolta Business Technologies Inc | Image processor |
| CN103559401A (en) * | 2013-11-08 | 2014-02-05 | 渤海大学 | Failure monitoring method based on semi-supervised principal component analysis |
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| CN103033759B (en) * | 2012-12-11 | 2015-02-18 | 上海市电力公司 | An Intelligent Judgment Method for Battery Thermal Runaway |
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