CN112986850A - Calculation method and device for self-discharge parameter value and electric vehicle - Google Patents

Calculation method and device for self-discharge parameter value and electric vehicle Download PDF

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CN112986850A
CN112986850A CN202110177549.8A CN202110177549A CN112986850A CN 112986850 A CN112986850 A CN 112986850A CN 202110177549 A CN202110177549 A CN 202110177549A CN 112986850 A CN112986850 A CN 112986850A
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value
power battery
self
electric vehicle
target electric
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CN112986850B (en
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刘荣福
柳志民
刘东秦
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Beijing CHJ Automobile Technology Co Ltd
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Beijing CHJ Automobile Technology Co Ltd
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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]
    • G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • 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
    • G01R31/005—Testing of electric installations on transport means
    • G01R31/006—Testing of electric installations on transport means on road vehicles, e.g. automobiles or trucks
    • G01R31/007—Testing of electric installations on transport means on road vehicles, e.g. automobiles or trucks using microprocessors or computers
    • 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]
    • G01R31/3644—Constructional arrangements
    • G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
    • 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
    • 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]
    • G01R31/385—Arrangements for measuring battery or accumulator variables
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Secondary Cells (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The application discloses a method and a device for calculating a self-discharge parameter value and an electric automobile, and relates to the technical field of power batteries. The method of the present application comprises: acquiring first power battery related data corresponding to a target electric vehicle, wherein the first power battery related data comprises a first time value and first power battery voltage data; determining the first power battery related data as valid power battery related data; acquiring second power battery related data corresponding to the target electric vehicle, wherein the second power battery related data is effective power battery related data determined in the process of calculating the self-discharge parameter value corresponding to the target electric vehicle at the last time, and the second power battery related data comprises a second moment value and second power battery voltage data; and calculating a self-discharge parameter value corresponding to the target electric automobile according to the first time value, the first power battery voltage data, the second time value and the second power battery voltage data.

Description

Calculation method and device for self-discharge parameter value and electric vehicle
Technical Field
The application relates to the technical field of power batteries, in particular to a method and a device for calculating a self-discharge parameter value and an electric automobile.
Background
With the continuous development of society, the living standard of people is continuously improved, the demand of people for automobiles is also larger and larger, and electric automobiles using electric energy as power are produced due to the shortage of energy and the increasingly serious problem of environmental pollution caused by traditional automobiles. In the running process of the electric automobile, a power battery in the electric automobile provides power support for the electric automobile, wherein when the power battery has the self-discharge abnormal problem, the electric quantity stored by the power battery is abnormally attenuated, so that the driving range of the electric automobile is greatly reduced, and therefore, the self-discharge parameter value of the power battery is calculated in time, and the fact whether the power battery has the self-discharge abnormal problem is determined.
Currently, the self-discharge parameter value of the power battery is usually calculated by adopting the following method: when the electric automobile is flamed out or the electric automobile is charged, first voltage data and an ending time value corresponding to the power battery are obtained, second voltage data and a starting time value corresponding to the power battery are obtained when the electric automobile is started or charged next time, and self-discharge parameter values corresponding to the power battery are calculated according to the first voltage data, the second voltage data, the ending time value and the starting time value, so that whether the power battery has the self-discharge abnormal problem or not is determined. However, when the electric vehicle is turned off or the electric vehicle is charged, a large current passes through the power battery, so that each battery cell in the power battery has a polarization phenomenon, and thus when the electric vehicle is turned off or the electric vehicle is charged, the acquired voltage data is not static voltage data, and the accuracy of the self-discharge parameter value obtained through calculation is poor.
Disclosure of Invention
The embodiment of the application provides a method and a device for calculating a self-discharge parameter value and an electric vehicle, and mainly aims to improve the accuracy of calculating the self-discharge parameter value of a power battery.
In order to solve the above technical problem, an embodiment of the present application provides the following technical solutions:
in a first aspect, the present application provides a method for calculating a self-discharge parameter value, the method including:
acquiring first power battery related data corresponding to a target electric vehicle, wherein the first power battery related data comprises a first time value and first power battery voltage data, the first power battery voltage data is voltage data corresponding to a power battery of the target electric vehicle at the first time value, and the first time value is a time value when the target electric vehicle is started at this time or a time value when the target electric vehicle starts to be charged at this time;
determining the first power battery related data as valid power battery related data;
acquiring second power battery related data corresponding to the target electric vehicle, wherein the second power battery related data is effective power battery related data determined in the process of calculating a self-discharge parameter value corresponding to the target electric vehicle last time, the second power battery related data comprises a second time value and second power battery voltage data, and the second power battery voltage data is voltage data corresponding to a power battery of the target electric vehicle at the second time value;
and calculating a self-discharge parameter value corresponding to the target electric automobile according to the first moment value, the first power battery voltage data, the second moment value and the second power battery voltage data.
Optionally, the determining that the first power battery related data is valid power battery related data includes:
acquiring a third time value corresponding to the target electric vehicle, wherein the third time value is a time value when the target electric vehicle is shut down or stops charging before starting or starting charging;
judging whether the time interval between the third time value and the first time value is greater than a preset standing time;
and if so, determining the first power battery related data as valid power battery related data.
Optionally, a power battery of the target electric vehicle includes a plurality of battery cells, the first power battery voltage data includes a first highest voltage value and a first lowest voltage value, the first highest voltage value is a maximum voltage value among a plurality of first voltage values corresponding to the plurality of battery cells, the first lowest voltage value is a minimum voltage value among a plurality of first voltage values corresponding to the plurality of battery cells, the second power battery voltage data includes a second highest voltage value and a second lowest voltage value, the second highest voltage value is a maximum voltage value among a plurality of second voltage values corresponding to the plurality of battery cells, and the second lowest voltage value is a minimum voltage value among a plurality of second voltage values corresponding to the plurality of battery cells;
the calculating the self-discharge parameter value corresponding to the target electric vehicle according to the first time value, the first power battery voltage data, the second time value and the second power battery voltage data includes:
and substituting the first time value, the first highest voltage value, the first lowest voltage value, the second time value, the second highest voltage value and the second lowest voltage value into a preset self-discharge parameter calculation formula to calculate a self-discharge parameter value corresponding to the target electric vehicle.
Optionally, the preset self-discharge parameter calculation formula is specifically as follows:
K＝[(Vmax-Vmin)-(Vmax’-Vmin’)]/(t-t’)
wherein K is a self-discharge parameter value corresponding to the target electric vehicle, VmaxIs the first highest voltage value, VminIs the first lowest voltage value，Vmax' is the second highest voltage value, Vmin'is the second lowest voltage value, t is the first time value, and t' is the second time value.
Optionally, after the calculating a self-discharge parameter value corresponding to the target electric vehicle according to the first time value, the first power battery voltage data, the second time value, and the second power battery voltage data, the method further includes:
judging whether the self-discharge parameter value is larger than a self-discharge parameter threshold value;
and if so, determining that the power battery of the target electric vehicle has the self-discharge abnormity problem.
Optionally, the data related to the first power battery further includes a unique identifier and/or location information corresponding to each battery cell;
the method for determining that the power battery of the target electric automobile has the self-discharge abnormity problem comprises the following steps:
determining that the self-discharge abnormity problem exists in the battery monomer corresponding to the first lowest voltage value;
and sending the unique identification and/or the position information corresponding to the single battery to the terminal equipment of the owner of the target electric vehicle so as to inform the owner that the single battery has the self-discharge abnormity problem.
Optionally, before the determining whether the self-discharge parameter value is greater than the self-discharge parameter threshold, the method further includes:
obtaining self-discharge parameter values of a plurality of electric automobiles, wherein the electric automobiles are the same as the target electric automobile in model;
and determining the self-discharge parameter threshold according to self-discharge parameter values of a plurality of electric automobiles.
In a second aspect, the present application further provides an apparatus for calculating a self-discharge parameter value, the apparatus comprising:
the device comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for obtaining first power battery related data corresponding to a target electric vehicle, the first power battery related data comprises a first time value and first power battery voltage data, the first power battery voltage data is voltage data corresponding to a power battery of the target electric vehicle when the first time value is reached, and the first time value is a time value when the target electric vehicle is started at this time or a time value when the target electric vehicle starts to be charged at this time;
the first determining unit is used for determining that the first power battery related data is valid power battery related data;
a second obtaining unit, configured to obtain second power battery related data corresponding to the target electric vehicle, where the second power battery related data is effective power battery related data determined in a process of calculating a self-discharge parameter value corresponding to the target electric vehicle last time, and the second power battery related data includes a second time value and second power battery voltage data, and the second power battery voltage data is voltage data corresponding to a power battery of the target electric vehicle at the second time value;
and the calculating unit is used for calculating a self-discharge parameter value corresponding to the target electric automobile according to the first time value, the first power battery voltage data, the second time value and the second power battery voltage data.
Optionally, the first determining unit includes:
the acquisition module is used for acquiring a third time value corresponding to the target electric vehicle, wherein the third time value is a time value when the target electric vehicle is shut down or stops charging before starting or starting charging;
the judging module is used for judging whether the time interval between the third moment value and the first moment value is greater than a preset standing time;
and the first determining module is used for determining the first power battery related data as effective power battery related data when the judging module judges that the time interval between the third moment value and the first moment value is greater than a preset standing time.
Optionally, a power battery of the target electric vehicle includes a plurality of battery cells, the first power battery voltage data includes a first highest voltage value and a first lowest voltage value, the first highest voltage value is a maximum voltage value among a plurality of first voltage values corresponding to the plurality of battery cells, the first lowest voltage value is a minimum voltage value among a plurality of first voltage values corresponding to the plurality of battery cells, the second power battery voltage data includes a second highest voltage value and a second lowest voltage value, the second highest voltage value is a maximum voltage value among a plurality of second voltage values corresponding to the plurality of battery cells, and the second lowest voltage value is a minimum voltage value among a plurality of second voltage values corresponding to the plurality of battery cells;
the calculation unit includes:
and the calculation module is used for substituting the first moment value, the first highest voltage value, the first lowest voltage value, the second moment value, the second highest voltage value and the second lowest voltage value into a preset self-discharge parameter calculation formula so as to calculate a self-discharge parameter value corresponding to the target electric vehicle.
Optionally, the preset self-discharge parameter calculation formula is specifically as follows:
K＝[(Vmax-Vmin)-(Vmax’-Vmin’)]/(t-t’)
wherein K is a self-discharge parameter value corresponding to the target electric vehicle, VmaxIs the first highest voltage value, VminIs the first lowest voltage value, Vmax' is the second highest voltage value, Vmin'is the second lowest voltage value, t is the first time value, and t' is the second time value.
Optionally, the apparatus further comprises:
the judgment unit is used for judging whether the self-discharge parameter value is larger than a self-discharge parameter threshold value or not after the calculation unit calculates the self-discharge parameter value corresponding to the target electric automobile according to the first time value, the first power battery voltage data, the second time value and the second power battery voltage data;
and the second determining unit is used for determining that the power battery of the target electric automobile has the self-discharge abnormal problem when the judging unit judges that the self-discharge parameter value is larger than the self-discharge parameter threshold value.
Optionally, the data related to the first power battery further includes a unique identifier and/or location information corresponding to each battery cell;
the second determination unit includes:
the second determining module is used for determining that the self-discharge abnormity problem exists in the battery monomer corresponding to the first lowest voltage value;
and the sending module is used for sending the unique identifier and/or the position information corresponding to the single battery to the terminal equipment of the owner of the target electric vehicle so as to inform the owner that the single battery has the self-discharge abnormity problem.
Optionally, the apparatus further comprises:
a third obtaining unit, configured to obtain self-discharge parameter values of multiple electric vehicles before the determining unit determines whether the self-discharge parameter value is greater than a self-discharge parameter threshold, where the electric vehicles are the same as the target electric vehicle in model;
and the third determining unit is used for determining the self-discharge parameter threshold according to self-discharge parameter values of a plurality of electric automobiles.
In a third aspect, an embodiment of the present application provides an electric vehicle, including: the calculation device of the self-discharge parameter value according to the second aspect.
In a fourth aspect, embodiments of the present application provide an apparatus for calculating a self-discharge parameter value, the apparatus including a storage medium; and one or more processors, the storage medium coupled with the processors, the processors configured to execute program instructions stored in the storage medium; the program instructions, when executed, perform the method for calculating a self-discharge parameter value according to the first aspect.
By means of the technical scheme, the technical scheme provided by the application at least has the following advantages:
the application provides a method and a device for calculating a self-discharge parameter value and an electric vehicle, which can determine whether first power battery related data is effective power battery related data or not by a cloud server after the first power battery related data comprising a first time value and first power battery voltage data uploaded by a target electric vehicle at the time of starting or starting charging at the time is acquired by the cloud server, and when the cloud server determines that the first power battery related data is the effective power battery related data, namely the first power battery related data is the power battery related data uploaded by the target electric vehicle after the target electric vehicle is stood for more than a preset standing time, the cloud server acquires second power battery related data corresponding to the target electric vehicle, wherein the second power battery related data is the second power battery related data corresponding to the target electric vehicle after the last time of standing for more than the preset standing time, uploading the power battery related data to a cloud server when starting or starting charging; and finally, calculating a self-discharge parameter value corresponding to the target electric automobile according to the first moment value contained in the first power battery related data, the second moment value contained in the first power battery voltage data and the second power battery voltage data contained in the second power battery related data. Because no current passes through the power battery when the electric automobile is started or starts to be charged after standing for more than a certain time, namely the voltage of the power battery is not influenced by the current at the moment, the acquired voltage data are static voltage data, and the first power battery related data and the second power battery related data are power battery related data uploaded by a target server when the target electric automobile is started or starts to be charged after standing for more than a preset standing time, the first power battery related data and the second power battery related data are static voltage data, and therefore the self-discharge parameter value calculated based on the first power battery voltage data and the second power battery voltage data is more accurate.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
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The above and other objects, features and advantages of exemplary embodiments of the present application will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the present application are illustrated by way of example and not by way of limitation in the figures of the accompanying drawings and in which like reference numerals refer to similar or corresponding parts and in which:
FIG. 1 is a flow chart of a method for calculating a self-discharge parameter value according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of another method for calculating a self-discharge parameter value according to an embodiment of the present disclosure;
FIG. 3 is a block diagram illustrating a computing apparatus for calculating a self-discharge parameter value according to an embodiment of the present disclosure;
fig. 4 shows a block diagram of another self-discharge parameter value calculation device provided in the embodiments of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which this application belongs.
The embodiment of the present application provides a method for calculating a self-discharge parameter value, as shown in fig. 1, the method includes:
101. and acquiring related data of a first power battery corresponding to the target electric vehicle.
The first power battery related data comprise a first time value and first power battery voltage data, the first power battery voltage data are voltage data corresponding to a power battery of the target electric automobile when the first time value is reached, and the first time value is a time value when the target electric automobile is started at this time or a time value when the target electric automobile starts to be charged at this time; wherein the first power cell voltage data may include: the voltage value (i.e., the first voltage value) corresponding to each battery cell in the power battery may also include: the power battery comprises a maximum voltage value (namely a first highest voltage value) and a minimum voltage value (namely a first lowest voltage value) in a plurality of voltage values (namely a plurality of first voltage values) corresponding to a plurality of battery cells in the power battery.
In the embodiment of the application, the execution subject in each step is a cloud server.
In this application embodiment, when the target electric vehicle starts or starts to charge, a BATTERY management system (BMS, BATTERY MANAGEMENT SYSTEM) in the target electric vehicle collects a current time value and voltage data corresponding to the power BATTERY at the current time, and uploads the collected current time value and the voltage data corresponding to the power BATTERY at the current time to the cloud server, that is, when the target electric vehicle starts or starts to charge at this time, first power BATTERY related data including the first time value and the first power BATTERY voltage data are uploaded to the cloud server, so that the cloud server can obtain the first power BATTERY related data corresponding to the target electric vehicle.
102. And determining the first power battery related data as valid power battery related data.
In this embodiment of the application, after obtaining the first power battery related data corresponding to the target electric vehicle, the cloud server needs to determine whether the first power battery related data is valid power battery related data, so as to execute subsequent operations after determining that the first power battery related data is valid power battery related data.
Specifically, in this step, the effective power battery related data is the power battery related data uploaded by the target electric vehicle after the target electric vehicle is stood for more than a preset standing time, wherein when the target electric vehicle is not started and is not charged, the target electric vehicle is in a standing state, the standing time of the target electric vehicle in the standing state is the standing time corresponding to the target electric vehicle, and when the standing time corresponding to the target electric vehicle is longer than the preset standing time, it is determined that the target electric vehicle is stood for more than the preset standing time; the cloud server may determine whether the first power battery related data is valid power battery related data in the following manner: and judging whether the first power battery related data is power battery related data uploaded by the target electric vehicle after the target electric vehicle is stood for more than a preset standing time, if so, determining the first power battery related data as valid power battery related data, and if not, determining the first power battery related data as invalid power battery related data.
103. And acquiring related data of a second power battery corresponding to the target electric vehicle.
The second power battery related data is effective power battery related data determined in the process of calculating the self-discharge parameter value corresponding to the target electric vehicle last time, the second power battery related data comprises a second time value and second power battery voltage data, and the second power battery voltage data is voltage data corresponding to the power battery of the target electric vehicle when the second time value is reached, namely the second power battery related data is power battery related data uploaded to the cloud server when the target electric vehicle is started or starts to be charged after standing for more than a preset standing time period last time; wherein the second power cell voltage data may include: the voltage value (i.e., the second voltage value) corresponding to each battery cell in the power battery may also include: the maximum voltage value (i.e., the second highest voltage value) and the minimum voltage value (i.e., the second lowest voltage value) of a plurality of voltage values (i.e., a plurality of second voltage values) corresponding to a plurality of battery cells in the power battery.
In this embodiment, when the cloud server determines that the first power battery related data is the valid power battery related data, the cloud server needs to obtain second power battery related data corresponding to the target electric vehicle, so as to calculate a self-discharge parameter value corresponding to the target electric vehicle according to the first power battery related data and the second power battery related data corresponding to the target electric vehicle in the following process.
104. And calculating a self-discharge parameter value corresponding to the target electric automobile according to the first time value, the first power battery voltage data, the second time value and the second power battery voltage data.
In this embodiment of the application, after obtaining the second power battery related data corresponding to the target electric vehicle, the cloud server may calculate the self-discharge parameter value corresponding to the target electric vehicle according to the first time value included in the first power battery related data, the first power battery voltage data, and the second time value included in the second power battery related data, and the second power battery voltage data. Because the electric automobile does not have current passing through the power battery when the electric automobile is started or starts to be charged after standing for more than a certain time, namely, the voltage of the power battery is not influenced by the current at the moment, the acquired voltage data is static voltage data, the first power battery related data and the second power battery related data are effective power battery related data determined by the cloud server, namely the first power battery related data and the second power battery related data are the power battery related data uploaded by the target server when the target electric vehicle is started or starts to be charged after standing for more than the preset standing time, therefore, the first power battery voltage data contained in the first power battery related data and the second power battery voltage data contained in the second power battery related data are static voltage data, therefore, the self-discharge parameter value calculated based on the first power battery voltage data and the second power battery voltage data is more accurate.
The embodiment of the present application provides a method for calculating a self-discharge parameter value, which can determine whether first power battery related data is valid power battery related data or not by a cloud server after the cloud server obtains the first power battery related data comprising a first time value and first power battery voltage data uploaded when a target electric vehicle is started or starts to be charged at this time, and obtain second power battery related data corresponding to the target electric vehicle when the cloud server determines that the first power battery related data is valid power battery related data, that is, determines that the first power battery related data is power battery related data uploaded after the target electric vehicle is allowed to stand for more than a preset standing time period, wherein the second power battery related data is obtained after the target electric vehicle is allowed to stand for more than the preset standing time period last time period, uploading the power battery related data to a cloud server when starting or starting charging; and finally, calculating a self-discharge parameter value corresponding to the target electric automobile according to the first moment value contained in the first power battery related data, the second moment value contained in the first power battery voltage data and the second power battery voltage data contained in the second power battery related data. Because no current passes through the power battery when the electric automobile is started or starts to be charged after standing for more than a certain time, namely the voltage of the power battery is not influenced by the current at the moment, the acquired voltage data are static voltage data, and the first power battery related data and the second power battery related data are power battery related data uploaded by a target server when the target electric automobile is started or starts to be charged after standing for more than a preset standing time, the first power battery related data and the second power battery related data are static voltage data, and therefore the self-discharge parameter value calculated based on the first power battery voltage data and the second power battery voltage data is more accurate.
To explain in more detail below, an embodiment of the present application provides another method for calculating a self-discharge parameter value, specifically as shown in fig. 2, the method includes:
201. and acquiring related data of a first power battery corresponding to the target electric vehicle.
In step 201, the description of the corresponding portion in fig. 1 may be referred to for obtaining the data related to the first power battery corresponding to the target electric vehicle, and details of the embodiment of the present application will not be repeated here.
202. And determining the first power battery related data as valid power battery related data.
In this embodiment of the application, after obtaining the first power battery related data corresponding to the target electric vehicle, the cloud server needs to determine whether the first power battery related data is valid power battery related data, so as to execute subsequent operations after determining that the first power battery related data is valid power battery related data.
Specifically, in this step, the cloud server may determine whether the first power battery related data is valid power battery related data by using the following method: firstly, acquiring a third time value corresponding to the target electric vehicle, wherein the third time value corresponding to the target electric vehicle is a time value when the target electric vehicle is shut down or stops charging before the target electric vehicle is started or starts charging; secondly, whether the time interval between the third time value and the first time value is greater than a preset standing time is judged, wherein the preset standing time may be, but is not limited to: 4 hours, 5 hours, 6 hours, etc.; if the time interval between the third moment value and the first moment value is greater than the preset standing time, determining the first power battery related data as effective power battery related data; and if the time interval between the third moment value and the first moment value is less than or equal to the preset standing time, determining the first power battery related data as invalid power battery related data, and discarding the first power battery related data.
203. And acquiring related data of a second power battery corresponding to the target electric vehicle.
In step 203, the description of the corresponding portion in fig. 1 may be referred to for obtaining the data related to the second power battery corresponding to the target electric vehicle, and details of the embodiment of the present application will not be repeated here.
204. And calculating a self-discharge parameter value corresponding to the target electric automobile according to the first time value, the first power battery voltage data, the second time value and the second power battery voltage data.
In this embodiment of the application, after obtaining the second power battery related data corresponding to the target electric vehicle, the cloud server may calculate the self-discharge parameter value corresponding to the target electric vehicle according to the first time value included in the first power battery related data, the first power battery voltage data, and the second time value included in the second power battery related data, and the second power battery voltage data.
Specifically, in this step, the cloud server may calculate the self-discharge parameter value corresponding to the target electric vehicle according to the first time value, the first power battery voltage data, the second time value, and the second power battery voltage data in the following two ways:
(1) when the first power battery voltage data includes a first highest voltage value and a first lowest voltage value, and the second power battery voltage data includes a second highest voltage value and a second lowest voltage value, that is, after the battery management system of the target electric vehicle acquires the voltage value corresponding to each battery cell in the power battery, the maximum voltage value and the minimum voltage value of the multiple voltage values corresponding to the multiple battery cells are uploaded to the cloud server as the power battery voltage data, the cloud server may directly substitute the first time value, the first highest voltage value, the first lowest voltage value, the second time value, the second highest voltage value, and the second lowest voltage value into the preset self-discharge parameter calculation formula, thereby calculating the self-discharge parameter value corresponding to the target electric vehicle, wherein the preset self-discharge parameter calculation formula is specifically as follows:
K＝[(Vmax-Vmin)-(Vmax’-Vmin’)]/(t-t’)
wherein K is a self-discharge parameter value corresponding to the target electric automobile, VmaxIs the first highest voltage value, VminIs the first lowest voltage value, Vmax' is the second highest voltage value, Vmin'is the second lowest voltage value, t is the first time value, and t' is the second time value.
(2) When the first power battery voltage data includes a first voltage value corresponding to each battery cell in the power battery, and the second power battery voltage data includes a second voltage value corresponding to each battery cell in the power battery, that is, after the battery management system of the target electric vehicle acquires the voltage value corresponding to each battery cell in the power battery, the voltage value corresponding to each battery cell is uploaded to the cloud server as the power battery voltage data, the cloud server needs to determine a maximum voltage value of a plurality of first voltage values corresponding to the plurality of battery cells as a first highest voltage value corresponding to the plurality of battery cells, and determine a minimum voltage value of the plurality of first voltage values corresponding to the plurality of battery cells as a first lowest voltage value corresponding to the plurality of battery cells; determining a maximum voltage value of a plurality of second voltage values corresponding to the plurality of battery cells as a second maximum voltage value corresponding to the plurality of battery cells, and determining a minimum voltage value of the plurality of second voltage values corresponding to the plurality of battery cells as a second minimum voltage value corresponding to the plurality of battery cells; and finally, substituting the first time value, the first highest voltage value, the first lowest voltage value, the second time value, the second highest voltage value and the second lowest voltage value into a preset self-discharge parameter calculation formula so as to calculate the self-discharge parameter value corresponding to the target electric automobile, wherein the preset self-discharge parameter calculation formula is as follows:
K＝[(Vmax-Vmin)-(Vmax’-Vmin’)]/(t-t’)
wherein K is a self-discharge parameter value corresponding to the target electric automobile, VmaxIs the first highest voltage value, VminIs the first lowest voltage value, Vmax' is the second highest voltage value, Vmin'is the second lowest voltage value, t is the first time value, and t' is the second time value.
205. And determining whether the power battery of the target electric automobile has the self-discharge abnormal problem or not according to the self-discharge parameter value corresponding to the target electric automobile.
In the embodiment of the application, after the self-discharge parameter value corresponding to the target electric vehicle is obtained through calculation, the cloud server also needs to determine whether the power battery of the target electric vehicle has a self-discharge abnormal problem according to the self-discharge parameter value corresponding to the target electric vehicle, that is, whether the self-discharge parameter value corresponding to the target electric vehicle is greater than a self-discharge parameter threshold value is judged; and if the self-discharge parameter value corresponding to the target electric automobile is larger than the self-discharge parameter threshold value, determining that the power battery of the target electric automobile has the self-discharge abnormal problem.
Specifically, in this step, the first power battery related data uploaded by the target electric vehicle further includes unique identifiers and/or location information corresponding to each battery cell in the power battery, and the specific process in which the cloud server determines that the power battery of the target electric vehicle has the self-discharge abnormality problem is as follows: determining that the self-discharge abnormity problem exists in the battery monomer corresponding to the first lowest voltage value, and sending unique identification and/or position information corresponding to the battery monomer to terminal equipment of a vehicle owner of the target electric vehicle, so that the vehicle owner of the target electric vehicle is informed that the self-discharge abnormity problem exists in the battery monomer, and the vehicle owner of the target electric vehicle can replace the battery monomer in time; the position information corresponding to the battery cell is used for indicating the position of the battery cell in the power battery.
Further, in this embodiment of the application, the cloud server further needs to determine a self-discharge parameter threshold in advance: the cloud server stores self-discharge parameter values of a plurality of electric vehicles with the same type as the target electric vehicle, and can obtain the self-discharge parameter values of the electric vehicles firstly and determine self-discharge parameter thresholds according to the self-discharge parameter values of the electric vehicles. Specifically, in this step, the cloud server may determine an average value of self-discharge parameter values of the plurality of electric vehicles as a self-discharge parameter threshold; the self-discharge parameter values of a plurality of electric vehicles may be grouped, a plurality of self-discharge parameter values having the same value may be divided into the same set, and the self-discharge parameter value in the set having the largest number of elements included in the plurality of sets may be determined as the self-discharge parameter threshold, but the present invention is not limited thereto.
Further, as an implementation of the method shown in fig. 1 and fig. 2, another embodiment of the present application further provides a device for calculating a self-discharge parameter value. The embodiment of the apparatus corresponds to the embodiment of the method, and for convenience of reading, details in the embodiment of the apparatus are not repeated one by one, but it should be clear that the apparatus in the embodiment can correspondingly implement all the contents in the embodiment of the method. The device is applied to improve the accuracy of calculating the self-discharge parameter value of the power battery, and specifically as shown in fig. 3, the device comprises:
a first obtaining unit 31, configured to obtain first power battery related data corresponding to a target electric vehicle, where the first power battery related data includes a first time value and first power battery voltage data, the first power battery voltage data is voltage data corresponding to a power battery of the target electric vehicle at the first time value, and the first time value is a time value when the target electric vehicle is started this time or a time value when the target electric vehicle starts charging this time;
a first determining unit 32, configured to determine that the first power battery related data is valid power battery related data;
a second obtaining unit 33, configured to obtain second power battery related data corresponding to the target electric vehicle, where the second power battery related data is effective power battery related data determined in a process of calculating a self-discharge parameter value corresponding to the target electric vehicle last time, and the second power battery related data includes a second time value and second power battery voltage data, and the second power battery voltage data is voltage data corresponding to a power battery of the target electric vehicle at the second time value;
and the calculating unit 34 is configured to calculate a self-discharge parameter value corresponding to the target electric vehicle according to the first time value, the first power battery voltage data, the second time value, and the second power battery voltage data.
Further, as shown in fig. 4, the first determination unit 32 includes:
an obtaining module 321, configured to obtain a third time value corresponding to the target electric vehicle, where the third time value is a time value when the target electric vehicle is turned off or stops charging before starting or starting charging;
a determining module 322, configured to determine whether a time interval between the third time value and the first time value is greater than a preset standing time;
a first determining module 323, configured to determine the first power battery related data as valid power battery related data when the determining module 322 determines that the time interval between the third time value and the first time value is greater than a preset standing time.
Further, as shown in fig. 4, a power battery of the target electric vehicle includes a plurality of battery cells, the first power battery voltage data includes a first highest voltage value and a first lowest voltage value, the first highest voltage value is a maximum voltage value among a plurality of first voltage values corresponding to the plurality of battery cells, the first lowest voltage value is a minimum voltage value among a plurality of first voltage values corresponding to the plurality of battery cells, the second power battery voltage data includes a second highest voltage value and a second lowest voltage value, the second highest voltage value is a maximum voltage value among a plurality of second voltage values corresponding to the plurality of battery cells, and the second lowest voltage value is a minimum voltage value among a plurality of second voltage values corresponding to the plurality of battery cells;
the calculation unit 34 includes:
a calculating module 341, configured to substitute the first time value, the first highest voltage value, the first lowest voltage value, the second time value, the second highest voltage value, and the second lowest voltage value into a preset self-discharge parameter calculation formula to calculate a self-discharge parameter value corresponding to the target electric vehicle.
Further, as shown in fig. 4, the preset self-discharge parameter calculation formula is specifically as follows:
K＝[(Vmax-Vmin)-(Vmax’-Vmin’)]/(t-t’)
wherein K is a self-discharge parameter value corresponding to the target electric vehicle, VmaxIs the first highest voltage value, VminIs the first lowest voltage value, Vmax' is the second highest voltage value, Vmin' is the second lowestAnd the voltage value t is the first time value, and t' is the second time value.
Further, as shown in fig. 4, the apparatus further includes:
a determining unit 35, configured to determine whether a self-discharge parameter value corresponding to the target electric vehicle is greater than a self-discharge parameter threshold after the calculating unit 34 calculates the self-discharge parameter value according to the first time value, the first power battery voltage data, the second time value, and the second power battery voltage data;
and a second determining unit 36, configured to determine that the power battery of the target electric vehicle has a self-discharge abnormal problem when the determining unit 35 determines that the self-discharge parameter value is greater than the self-discharge parameter threshold value.
Further, as shown in fig. 4, the data related to the first power battery further includes a unique identifier and/or location information corresponding to each battery cell;
the second determination unit 36 includes:
the second determining module 361 is configured to determine that a self-discharge abnormality problem exists in the battery cell corresponding to the first lowest voltage value;
a sending module 362, configured to send the unique identifier and/or the location information corresponding to the battery cell to a terminal device of an owner of the target electric vehicle, so as to notify the owner that the battery cell has a self-discharge abnormality problem.
Further, as shown in fig. 4, the apparatus further includes:
a third obtaining unit 37, configured to obtain self-discharge parameter values of multiple electric vehicles before the determining unit 35 determines whether the self-discharge parameter value is greater than a self-discharge parameter threshold, where the electric vehicles are the same as the target electric vehicle in model;
and a third determining unit 38, configured to determine the self-discharge parameter threshold according to self-discharge parameter values of a plurality of electric vehicles.
The embodiment of the application provides a method and a device for calculating a self-discharge parameter value and an electric vehicle, wherein the method and the device can be used for determining whether first power battery related data is effective power battery related data or not by a cloud server after the cloud server obtains the first power battery related data comprising a first time value and first power battery voltage data uploaded when a target electric vehicle is started or starts to be charged at this time, and when the cloud server determines that the first power battery related data is effective power battery related data, namely the first power battery related data is power battery related data uploaded after the target electric vehicle is stood for longer than a preset standing time, the cloud server obtains second power battery related data corresponding to the target electric vehicle, wherein the second power battery related data is the second power battery related data corresponding to the target electric vehicle when the target electric vehicle is stood for longer than the preset standing time, uploading the power battery related data to a cloud server when starting or starting charging; and finally, calculating a self-discharge parameter value corresponding to the target electric automobile according to the first moment value contained in the first power battery related data, the second moment value contained in the first power battery voltage data and the second power battery voltage data contained in the second power battery related data. Because no current passes through the power battery when the electric automobile is started or starts to be charged after standing for more than a certain time, namely the voltage of the power battery is not influenced by the current at the moment, the acquired voltage data are static voltage data, and the first power battery related data and the second power battery related data are power battery related data uploaded by a target server when the target electric automobile is started or starts to be charged after standing for more than a preset standing time, the first power battery related data and the second power battery related data are static voltage data, and therefore the self-discharge parameter value calculated based on the first power battery voltage data and the second power battery voltage data is more accurate.
The device for calculating the self-discharge parameter value comprises a processor and a memory, wherein the first acquiring unit, the first determining unit, the second acquiring unit, the calculating unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the accuracy of calculating the self-discharge parameter value of the power battery is improved by adjusting the kernel parameters.
The embodiment of the application also provides an electric automobile which comprises the self-discharge parameter value calculating device.
The embodiment of the application also provides a device for calculating the self-discharge parameter value, which comprises a storage medium; and one or more processors, the storage medium coupled with the processors, the processors configured to execute program instructions stored in the storage medium; when the program instructions are operated, the method for calculating the self-discharge parameter value is executed.
The embodiment of the application provides equipment, the equipment comprises a processor, a memory and a program which is stored on the memory and can run on the processor, and the following steps are realized when the processor executes the program:
acquiring first power battery related data corresponding to a target electric vehicle, wherein the first power battery related data comprises a first time value and first power battery voltage data, the first power battery voltage data is voltage data corresponding to a power battery of the target electric vehicle at the first time value, and the first time value is a time value when the target electric vehicle is started at this time or a time value when the target electric vehicle starts to be charged at this time;
determining the first power battery related data as valid power battery related data;
acquiring second power battery related data corresponding to the target electric vehicle, wherein the second power battery related data is effective power battery related data determined in the process of calculating a self-discharge parameter value corresponding to the target electric vehicle last time, the second power battery related data comprises a second time value and second power battery voltage data, and the second power battery voltage data is voltage data corresponding to a power battery of the target electric vehicle at the second time value;
and calculating a self-discharge parameter value corresponding to the target electric automobile according to the first moment value, the first power battery voltage data, the second moment value and the second power battery voltage data.
Further, the determining that the first power battery related data is valid power battery related data includes:
acquiring a third time value corresponding to the target electric vehicle, wherein the third time value is a time value when the target electric vehicle is shut down or stops charging before starting or starting charging;
judging whether the time interval between the third time value and the first time value is greater than a preset standing time;
and if so, determining the first power battery related data as valid power battery related data.
Further, a power battery of the target electric vehicle includes a plurality of battery cells, the first power battery voltage data includes a first highest voltage value and a first lowest voltage value, the first highest voltage value is a maximum voltage value among a plurality of first voltage values corresponding to the plurality of battery cells, the first lowest voltage value is a minimum voltage value among a plurality of first voltage values corresponding to the plurality of battery cells, the second power battery voltage data includes a second highest voltage value and a second lowest voltage value, the second highest voltage value is a maximum voltage value among a plurality of second voltage values corresponding to the plurality of battery cells, and the second lowest voltage value is a minimum voltage value among a plurality of second voltage values corresponding to the plurality of battery cells;
the calculating the self-discharge parameter value corresponding to the target electric vehicle according to the first time value, the first power battery voltage data, the second time value and the second power battery voltage data includes:
and substituting the first time value, the first highest voltage value, the first lowest voltage value, the second time value, the second highest voltage value and the second lowest voltage value into a preset self-discharge parameter calculation formula to calculate a self-discharge parameter value corresponding to the target electric vehicle.
Further, the preset self-discharge parameter calculation formula is specifically as follows:
K＝[(Vmax-Vmin)-(Vmax’-Vmin’)]/(t-t’)
wherein K is a self-discharge parameter value corresponding to the target electric vehicle, VmaxIs the first highest voltage value, VminIs the first lowest voltage value, Vmax' is the second highest voltage value, Vmin'is the second lowest voltage value, t is the first time value, and t' is the second time value.
Further, after the calculating the self-discharge parameter value corresponding to the target electric vehicle according to the first time value, the first power battery voltage data, the second time value and the second power battery voltage data, the method further includes:
judging whether the self-discharge parameter value is larger than a self-discharge parameter threshold value;
and if so, determining that the power battery of the target electric vehicle has the self-discharge abnormity problem.
Further, the first power battery related data further comprises a unique identifier and/or position information corresponding to each battery cell;
the method for determining that the power battery of the target electric automobile has the self-discharge abnormity problem comprises the following steps:
determining that the self-discharge abnormity problem exists in the battery monomer corresponding to the first lowest voltage value;
and sending the unique identification and/or the position information corresponding to the single battery to the terminal equipment of the owner of the target electric vehicle so as to inform the owner that the single battery has the self-discharge abnormity problem.
Further, before the determining whether the self-discharge parameter value is greater than a self-discharge parameter threshold value, the method further includes:
obtaining self-discharge parameter values of a plurality of electric automobiles, wherein the electric automobiles are the same as the target electric automobile in model;
and determining the self-discharge parameter threshold according to self-discharge parameter values of a plurality of electric automobiles.
The present application further provides a computer program product adapted to perform program code for initializing the following method steps when executed on a data processing device: acquiring first power battery related data corresponding to a target electric vehicle, wherein the first power battery related data comprises a first time value and first power battery voltage data, the first power battery voltage data is voltage data corresponding to a power battery of the target electric vehicle at the first time value, and the first time value is a time value when the target electric vehicle is started at this time or a time value when the target electric vehicle starts to be charged at this time; determining the first power battery related data as valid power battery related data; acquiring second power battery related data corresponding to the target electric vehicle, wherein the second power battery related data is effective power battery related data determined in the process of calculating a self-discharge parameter value corresponding to the target electric vehicle last time, the second power battery related data comprises a second time value and second power battery voltage data, and the second power battery voltage data is voltage data corresponding to a power battery of the target electric vehicle at the second time value; and calculating a self-discharge parameter value corresponding to the target electric automobile according to the first moment value, the first power battery voltage data, the second moment value and the second power battery voltage data.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described 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 flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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 apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, 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.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (15)

1. A method for calculating a self-discharge parameter value, comprising:
acquiring first power battery related data corresponding to a target electric vehicle, wherein the first power battery related data comprises a first time value and first power battery voltage data, the first power battery voltage data is voltage data corresponding to a power battery of the target electric vehicle at the first time value, and the first time value is a time value when the target electric vehicle is started at this time or a time value when the target electric vehicle starts to be charged at this time;
determining the first power battery related data as valid power battery related data;
acquiring second power battery related data corresponding to the target electric vehicle, wherein the second power battery related data is effective power battery related data determined in the process of calculating a self-discharge parameter value corresponding to the target electric vehicle last time, the second power battery related data comprises a second time value and second power battery voltage data, and the second power battery voltage data is voltage data corresponding to a power battery of the target electric vehicle at the second time value;
and calculating a self-discharge parameter value corresponding to the target electric automobile according to the first moment value, the first power battery voltage data, the second moment value and the second power battery voltage data.
2. The method of claim 1, wherein said determining that said first power-cell-related data is valid power-cell-related data comprises:
acquiring a third time value corresponding to the target electric vehicle, wherein the third time value is a time value when the target electric vehicle is shut down or stops charging before starting or starting charging;
judging whether the time interval between the third time value and the first time value is greater than a preset standing time;
and if so, determining the first power battery related data as valid power battery related data.
3. The method according to claim 1, wherein the power battery of the target electric vehicle includes a plurality of battery cells, the first power battery voltage data includes a first highest voltage value and a first lowest voltage value, the first highest voltage value is a maximum voltage value of a plurality of first voltage values corresponding to the plurality of battery cells, the first lowest voltage value is a minimum voltage value of the plurality of first voltage values corresponding to the plurality of battery cells, the second power battery voltage data includes a second highest voltage value and a second lowest voltage value, the second highest voltage value is a maximum voltage value of a plurality of second voltage values corresponding to the plurality of battery cells, and the second lowest voltage value is a minimum voltage value of a plurality of second voltage values corresponding to the plurality of battery cells;
the calculating the self-discharge parameter value corresponding to the target electric vehicle according to the first time value, the first power battery voltage data, the second time value and the second power battery voltage data includes:
and substituting the first time value, the first highest voltage value, the first lowest voltage value, the second time value, the second highest voltage value and the second lowest voltage value into a preset self-discharge parameter calculation formula to calculate a self-discharge parameter value corresponding to the target electric vehicle.
4. The method according to claim 3, wherein the preset self-discharge parameter calculation formula is specifically as follows:
K＝[(Vmax-Vmin)-(Vmax’-Vmin’)]/(t-t’)
wherein K is a self-discharge parameter value corresponding to the target electric vehicle, VmaxIs the first highest voltage value, VminIs the first lowest voltage value, Vmax' is the second highest voltage value, Vmin'is the second lowest voltage value, t is the first time value, and t' is the second time value.
5. The method according to claim 3 or 4, wherein after the calculating the self-discharge parameter value corresponding to the target electric vehicle according to the first time value, the first power battery voltage data, the second time value and the second power battery voltage data, the method further comprises:
judging whether the self-discharge parameter value is larger than a self-discharge parameter threshold value;
and if so, determining that the power battery of the target electric vehicle has the self-discharge abnormity problem.
6. The method of claim 5, wherein the first power cell-related data further comprises unique identification and/or location information corresponding to each of the battery cells;
the method for determining that the power battery of the target electric automobile has the self-discharge abnormity problem comprises the following steps:
determining that the self-discharge abnormity problem exists in the battery monomer corresponding to the first lowest voltage value;
and sending the unique identification and/or the position information corresponding to the single battery to the terminal equipment of the owner of the target electric vehicle so as to inform the owner that the single battery has the self-discharge abnormity problem.
7. The method of claim 5, wherein prior to said determining whether the self-discharge parameter value is greater than a self-discharge parameter threshold value, the method further comprises:
obtaining self-discharge parameter values of a plurality of electric automobiles, wherein the electric automobiles are the same as the target electric automobile in model;
and determining the self-discharge parameter threshold according to self-discharge parameter values of a plurality of electric automobiles.
8. An apparatus for calculating a self-discharge parameter value, comprising:
the device comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for obtaining first power battery related data corresponding to a target electric vehicle, the first power battery related data comprises a first time value and first power battery voltage data, the first power battery voltage data is voltage data corresponding to a power battery of the target electric vehicle when the first time value is reached, and the first time value is a time value when the target electric vehicle is started at this time or a time value when the target electric vehicle starts to be charged at this time;
the first determining unit is used for determining that the first power battery related data is valid power battery related data;
a second obtaining unit, configured to obtain second power battery related data corresponding to the target electric vehicle, where the second power battery related data is effective power battery related data determined in a process of calculating a self-discharge parameter value corresponding to the target electric vehicle last time, and the second power battery related data includes a second time value and second power battery voltage data, and the second power battery voltage data is voltage data corresponding to a power battery of the target electric vehicle at the second time value;
and the calculating unit is used for calculating a self-discharge parameter value corresponding to the target electric automobile according to the first time value, the first power battery voltage data, the second time value and the second power battery voltage data.
9. The apparatus according to claim 8, wherein the first determining unit comprises:
the acquisition module is used for acquiring a third time value corresponding to the target electric vehicle, wherein the third time value is a time value when the target electric vehicle is shut down or stops charging before starting or starting charging;
the judging module is used for judging whether the time interval between the third moment value and the first moment value is greater than a preset standing time;
and the first determining module is used for determining the first power battery related data as effective power battery related data when the judging module judges that the time interval between the third moment value and the first moment value is greater than a preset standing time.
10. The apparatus according to claim 8, wherein the power battery of the target electric vehicle includes a plurality of battery cells, the first power battery voltage data includes a first highest voltage value and a first lowest voltage value, the first highest voltage value is a maximum voltage value among a plurality of first voltage values corresponding to the plurality of battery cells, the first lowest voltage value is a minimum voltage value among a plurality of first voltage values corresponding to the plurality of battery cells, the second power battery voltage data includes a second highest voltage value and a second lowest voltage value, the second highest voltage value is a maximum voltage value among a plurality of second voltage values corresponding to the plurality of battery cells, and the second lowest voltage value is a minimum voltage value among a plurality of second voltage values corresponding to the plurality of battery cells;
the calculation unit includes:
and the calculation module is used for substituting the first moment value, the first highest voltage value, the first lowest voltage value, the second moment value, the second highest voltage value and the second lowest voltage value into a preset self-discharge parameter calculation formula so as to calculate a self-discharge parameter value corresponding to the target electric vehicle.
11. The apparatus of claim 10, wherein the preset self-discharge parameter calculation formula is specifically as follows:
K＝[(Vmax-Vmin)-(Vmax’-Vmin’)]/(t-t’)
wherein K is a self-discharge parameter value corresponding to the target electric vehicle, VmaxIs the first highest voltage value, VminIs the first lowest voltage value, Vmax' is the second highest voltage value, Vmin'is the second lowest voltage value, t is the first time value, and t' is the second time value.
12. The apparatus of claim 10 or 11, further comprising:
the judgment unit is used for judging whether the self-discharge parameter value is larger than a self-discharge parameter threshold value or not after the calculation unit calculates the self-discharge parameter value corresponding to the target electric automobile according to the first time value, the first power battery voltage data, the second time value and the second power battery voltage data;
and the second determining unit is used for determining that the power battery of the target electric automobile has the self-discharge abnormal problem when the judging unit judges that the self-discharge parameter value is larger than the self-discharge parameter threshold value.
13. The apparatus of claim 12, wherein the first power cell related data further comprises a unique identifier and/or location information corresponding to each of the battery cells;
the second determination unit includes:
the second determining module is used for determining that the self-discharge abnormity problem exists in the battery monomer corresponding to the first lowest voltage value;
and the sending module is used for sending the unique identifier and/or the position information corresponding to the single battery to the terminal equipment of the owner of the target electric vehicle so as to inform the owner that the single battery has the self-discharge abnormity problem.
14. An electric vehicle, characterized in that the electric vehicle comprises:
calculation means of the self-discharge parameter value according to any of claims 8-13.
15. An apparatus for calculating a self-discharge parameter value, the apparatus comprising a storage medium; and one or more processors, the storage medium coupled with the processors, the processors configured to execute program instructions stored in the storage medium; the program instructions when executed perform the method of calculating a self-discharge parameter value of any one of claims 1 to 7.
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