CN113093040A - Method, device and system for evaluating health degree of battery of electric vehicle - Google Patents
Method, device and system for evaluating health degree of battery of electric vehicle Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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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]
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Abstract
The invention provides a method, a device, a system, equipment and a storage medium for evaluating the health degree of an electric vehicle battery, wherein the method applied to a server comprises the following steps: receiving a battery health degree evaluation request; wherein the battery health assessment request includes a vehicle identification number; inquiring in a preset database to obtain charging electric quantity data matched with the vehicle identification number; and calculating the SOH of the battery according to the charging capacity data, and sending the SOH to the terminal for display. Therefore, the charging electric quantity data are processed, and the efficiency and the accuracy of the health degree evaluation of the battery of the electric automobile are improved.
Description
Technical Field
The invention relates to the technical field of batteries of electric vehicles, in particular to a method, a device and a system for evaluating the health degree of a battery of an electric vehicle.
Background
Electric vehicles generally use power batteries as energy storage devices and sources, and the conventional power batteries are generally chemical batteries, which may cause a reduction in the maximum capacity of the batteries after a period of charging and discharging. Generally, the State Of Health (SOH) Of a battery refers to a ratio Of a full-charged capacity Of the battery to a rated capacity, the SOH can reflect a current State Of Health Of the battery, and accurately acquiring the SOH Of the battery Of the electric vehicle can effectively help the electric vehicle to calculate a remaining driving distance.
In the related art, the method depends on field test conditions, electric vehicle interior design and a specific electric vehicle Battery Management System (BMS), and the acquisition modes of each vehicle type are different, so that the calculation efficiency and the accuracy are low.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
The invention provides a method, a device and a system for evaluating the health degree of an electric vehicle battery, which are used for realizing that SOH can be further evaluated through vehicle historical information by recording and processing charging record data of a charging pile based on the actual condition that all vehicles are charged through the charging pile, and the efficiency and the accuracy of evaluating the health degree of the electric vehicle battery are improved.
The embodiment of the first aspect of the invention provides an electric vehicle battery health degree evaluation method, which is applied to a server and comprises the following steps:
receiving a battery health degree evaluation request; wherein the battery health assessment request includes a vehicle identification number;
inquiring in a preset database to obtain charging electric quantity data matched with the vehicle identification number;
and calculating the SOH of the battery according to the charging electric quantity data, and sending the SOH to a terminal for display.
According to the method for evaluating the battery health degree of the electric vehicle, disclosed by the embodiment of the invention, the battery health degree evaluation request is received; wherein the battery health assessment request includes a vehicle identification number; inquiring in a preset database to obtain charging electric quantity data matched with the vehicle identification number; and calculating the SOH of the battery according to the charging capacity data, and sending the SOH to the terminal for display. Therefore, the charging electric quantity data are processed, and the efficiency and the accuracy of the health degree evaluation of the battery of the electric automobile are improved.
Optionally, in an embodiment of the present invention, the method further includes:
receiving electric vehicle charging information sent by a charging pile; wherein, the electric automobile charging information includes: the vehicle identification number;
and storing the charging information of the electric automobile in the database according to the vehicle identification number.
Optionally, in an embodiment of the present invention, the method further includes:
identifying vehicle type information according to the vehicle identification number;
determining vehicle models of different vehicles according to the vehicle model information, and determining a correction coefficient of the vehicle model information according to the vehicle models; wherein the correction coefficient comprises a charging efficiency correction coefficient and a charging temperature correction coefficient.
Optionally, in an embodiment of the present invention, when the number of times of charging of the vehicle corresponding to the vehicle identification number is equal to 1, the calculating the battery health SOH according to the charging capacity data is as shown in formula (1):
SOH＝C*η/V/D/f(T) (1)
wherein V is the rated capacity of the battery, D is the percentage capacity change of the battery, C is the total output electric quantity of the charging pile, T is the average ambient temperature in the charging process, eta is the charging efficiency correction coefficient of the vehicle identification number, and f (T) is the charging correction coefficient of the vehicle type at different temperatures.
Optionally, in an embodiment of the present invention, when the number of times of charging the vehicle corresponding to the vehicle identification number is greater than 1, the calculating the battery health level SOH according to the charging capacity data includes:
inquiring to obtain the target charging times as n times, wherein the vehicle charging times corresponding to the vehicle identification number are k times, and if k is more than n times, D1+D2+…+Dn-1<M<＝D1+D2+…+DnAnd calculating the SOH as shown in formula (2):
SOH＝(S1*D1+S2*D2+…+Sn*Dn)/(D1+D2+…+Dn) (2)
wherein D isnChange in percent capacity of battery for the nth charge, n being the number of charge recordings and being largeA positive integer of 1, SnFor the health SOH of the battery charged for the nth time, M is a variable threshold parameter, which represents M times of complete 100% charge.
Optionally, in an embodiment of the present invention, the method further includes:
the number of times of charging the vehicle corresponding to the vehicle identification number is k times, wherein k is less than or equal to n and D1+D2+…+Dk<M calculates the SOH as shown in equation (3):
SOH＝(S1*D1+S2*D2+…+Sk*Dk)/(D1+D2+…+Dk) (3)
wherein D iskChange of percentage capacity of battery for k-th charging, k being number of charging records and being positive integer greater than 1, SkFor the k-th charge, SOH, M is a variable threshold parameter, representing M full 100% charge.
The embodiment of the second aspect of the invention provides another device for evaluating the battery health degree of an electric vehicle, which is applied to a server and comprises:
the first receiving module is used for receiving a battery health degree evaluation request; wherein the battery health assessment request includes a vehicle identification number;
the acquisition module is used for inquiring in a preset database and acquiring charging electric quantity data matched with the vehicle identification number;
the calculation module is used for calculating the SOH (state of health) of the battery according to the charging electric quantity data;
and the sending module is used for sending the SOH to a terminal for displaying.
According to the device for evaluating the battery health degree of the electric vehicle, disclosed by the embodiment of the invention, the request for evaluating the battery health degree is received; wherein the battery health assessment request includes a vehicle identification number; inquiring in a preset database to obtain charging electric quantity data matched with the vehicle identification number; and calculating the SOH of the battery according to the charging capacity data, and sending the SOH to the terminal for display. Therefore, the charging electric quantity data are processed, and the efficiency and the accuracy of the health degree evaluation of the battery of the electric automobile are improved.
Optionally, in an embodiment of the present invention, the apparatus is further characterized by further comprising:
the second receiving module is used for receiving the electric automobile charging information sent by the charging pile; wherein, the electric automobile charging information includes: the vehicle identification number;
and the storage module is used for storing the charging information of the electric automobile in the database according to the vehicle identification number.
Optionally, in an embodiment of the present invention, the apparatus further includes:
the identification module is used for identifying vehicle type information according to the vehicle identification number;
the determining module is used for determining vehicle models of different vehicles according to the vehicle model information and determining a correction coefficient of the vehicle model information according to the vehicle models; wherein the correction coefficient comprises a charging efficiency correction coefficient and a charging temperature correction coefficient.
Optionally, in an embodiment of the present invention, when the number of times of charging of the vehicle corresponding to the vehicle identification number is equal to 1, the calculation module calculates the SOH as shown in formula (1):
SOH＝C*η/V/D/f(T) (1)
wherein V is the rated capacity of the battery, D is the percentage capacity change of the battery, C is the total output electric quantity of the charging pile, T is the average ambient temperature in the charging process, eta is the charging efficiency correction coefficient of the vehicle identification number, and f (T) is the charging correction coefficient of the vehicle type at different temperatures.
Optionally, in an embodiment of the present invention, when the number of times of charging the vehicle corresponding to the vehicle identification number is greater than 1, the calculating module is specifically configured to:
inquiring to obtain the target charging times as n times, wherein the vehicle charging times corresponding to the vehicle identification number are k times, and if k is more than n times, D1+D2+…+Dn-1<M<＝D1+D2+…+DnAnd calculating the SOH as shown in formula (2):
SOH＝(S1*D1+S2*D2+…+Sn*Dn)/(D1+D2+…+Dn) (2)
wherein D isnChange in the percentage capacity of the battery for the nth charge, n being the number of charge recordings and being a positive integer greater than 1, SnFor the health SOH of the battery charged for the nth time, M is a variable threshold parameter, which represents M times of complete 100% charge.
Optionally, in an embodiment of the present invention, the calculation module is further specifically configured to:
the number of times of charging the vehicle corresponding to the vehicle identification number is k times, wherein k is less than or equal to n and D1+D2+…+Dk<M calculates the SOH as shown in equation (3):
SOH＝(S1*D1+S2*D2+…+Sk*Dk)/(D1+D2+…+Dk) (3)
wherein D iskChange of percentage capacity of battery for k-th charging, k being number of charging records and being positive integer greater than 1, SkFor the k-th charge, SOH, M is a variable threshold parameter, representing M full 100% charge.
In a third aspect of the present invention, an electric vehicle battery health assessment system is provided, including the server, the charging pile, and the electric vehicle of any one of claims 7 to 12; the charging pile is respectively connected with the server and the electric automobile;
the charging pile is used for acquiring charging information of the electric automobile; wherein the charging information includes the vehicle identification number;
the server is used for receiving the charging information, storing the charging information in a database according to the vehicle identification number so as to receive a battery health degree evaluation request, inquiring in a preset database, acquiring charging electric quantity data matched with the vehicle identification number, calculating the SOH of the battery health degree according to the charging electric quantity data, and sending the SOH to a terminal for display.
An embodiment of a fourth aspect of the present invention provides a server, including: the battery health assessment method for the electric vehicle is provided by the embodiment of the first aspect of the invention.
In an embodiment of the fifth aspect of the present invention, a non-transitory computer-readable storage medium is provided, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for evaluating the health of a battery of an electric vehicle as set forth in the embodiment of the first aspect of the present invention.
An embodiment of a sixth aspect of the present invention provides a computer program product, wherein when the instructions in the computer program product are executed by a processor, the method for evaluating the health of a battery of an electric vehicle as set forth in the embodiment of the first aspect of the present invention is performed.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart illustrating a method for evaluating health of a battery of an electric vehicle according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating a method for evaluating the health degree of a battery of an electric vehicle according to a second embodiment of the present invention;
FIG. 3 is a schematic diagram of a system during charging in an embodiment of the present invention;
FIG. 4 is a schematic diagram of a system for obtaining SOH according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a device for evaluating health of a battery of an electric vehicle according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electric vehicle battery health degree evaluation apparatus according to a fourth embodiment of the present invention;
FIG. 7 illustrates a block diagram of an exemplary electronic device or server suitable for use in implementing embodiments of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The following describes an electric vehicle battery health degree evaluation method, device and system according to an embodiment of the invention with reference to the drawings.
Fig. 1 is a schematic flow chart of a method for evaluating health of a battery of an electric vehicle according to an embodiment of the present invention.
The conversation identification method of the embodiment of the invention can be applied to a server. The server may be any device with computing power.
As shown in fig. 1, the method for evaluating the health degree of a battery of an electric vehicle may include the following steps:
In the embodiment of the invention, the server can be connected with one or more terminals, receives the battery health degree evaluation request sent by the terminal, and can acquire the vehicle identification number after analyzing the battery health degree evaluation request.
In the embodiment of the invention, the vehicle identification number can uniquely identify one vehicle, namely different vehicle identification numbers correspond to different vehicles, and the server can simultaneously receive one or more battery health degree evaluation requests, so that the battery health degrees can be calculated for different vehicles and sent to the terminal for display.
And 102, inquiring in a preset database, and acquiring charging electric quantity data matched with the vehicle identification number.
In the embodiment of the invention, the charging electric quantity data stored in the historical charging of each vehicle is stored in the database, the charging electric quantity data matched with the vehicle identification number can be acquired in various ways, and the setting can be selected according to the application scene requirements, for example, the charging electric quantity data recorded for one or more times can be acquired according to the way of inquiring the mapping table by the vehicle identification number; for another example, a query command including a vehicle identification number is input, and one or more recorded charging capacity data is directly acquired.
The charging electric quantity data can be rated capacity of a V battery, percentage capacity change of a D battery, total electric quantity output by a C charging pile, average ambient temperature in the T charging process, charging efficiency correction coefficients of eta vehicle identification numbers, charging correction coefficients of (T) vehicle types at different temperatures and the like, and is specifically selected and set according to application scenes.
And 103, calculating the SOH of the battery according to the charging electric quantity data, and sending the SOH to the terminal for display.
In the embodiment of the invention, when the charging times of the vehicle corresponding to the vehicle identification number are equal to 1, the battery health degree SOH is calculated according to the charging electric quantity data and is shown in a formula (1):
SOH＝C*η/V/D/f(T) (1)
wherein V is the rated capacity of the battery, D is the percentage capacity change of the battery, C is the total output electric quantity of the charging pile, T is the average ambient temperature in the charging process, eta is the charging efficiency correction coefficient of the vehicle identification number, and f (T) is the charging correction coefficient of the vehicle type at different temperatures.
In the embodiment of the invention, when the number of times of charging the vehicle corresponding to the vehicle identification number is greater than 1, the SOH of the battery health degree is calculated according to the charging electric quantity data, and the method comprises the following steps: inquiring to obtain the target charging times as n times, the vehicle charging times corresponding to the vehicle identification number as k times, if k is more than n times, then D1+D2+…+Dn-1<M<＝D1+D2+…+DnThe SOH is calculated as shown in equation (2):
SOH＝(S1*D1+S2*D2+…+Sn*Dn)/(D1+D2+…+Dn) (2)
wherein D isnChange in the percentage capacity of the battery for the nth charge, n being the number of charge recordings and being a positive integer greater than 1, SnFor the health SOH of the battery charged for the nth time, M is a variable threshold parameter, which represents M times of complete 100% charge.
In the embodiment of the invention, the charging times of the vehicle corresponding to the vehicle identification number are k times, k is less than or equal to n, and D1+D2+…+Dk<M calculates SOH as shown in equation (3):
SOH＝(S1*D1+S2*D2+…+Sk*Dk)/(D1+D2+…+Dk) (3)
wherein D iskChange of percentage capacity of battery for k-th charging, k being number of charging records and being positive integer greater than 1, SkFor the k-th charge, SOH, M is a variable threshold parameter, representing M full 100% charge.
According to the method for evaluating the battery health degree of the electric vehicle, disclosed by the embodiment of the invention, the battery health degree evaluation request is received; wherein the battery health assessment request includes a vehicle identification number; inquiring in a preset database to obtain charging electric quantity data matched with the vehicle identification number; and calculating the SOH of the battery according to the charging capacity data, and sending the SOH to the terminal for display. Therefore, the charging electric quantity data are processed, and the efficiency and the accuracy of the health degree evaluation of the battery of the electric automobile are improved.
The following describes the process of the method for evaluating the health degree of the battery of the electric vehicle in further detail with reference to the second embodiment.
Fig. 2 is a schematic flow chart of a method for evaluating the health degree of a battery of an electric vehicle according to a second embodiment of the present invention.
As shown in fig. 2, the method for evaluating the health degree of the battery of the electric vehicle may include the following steps:
In the embodiment Of the present invention, as shown in fig. 3, the server is connected to the charging pile, and the charging pile is connected to the electric vehicle, specifically, when the electric vehicle is connected to the charging pile for charging, the BMS transmits basic data Of the vehicle, including a vehicle Identification number vin (vehicle Identification number), a battery Identification code, a battery type, a battery rated capacity, a current battery capacity percentage soc (state Of charge), and the like, to the charging pile through a connected communication line.
In the embodiment of the invention, in the charging process, the BMS continuously and periodically transmits the change information of the SOC to the charging pile in real time, and the charging pile records the change information of the SOC, the electric quantity output by the charging pile and the temperature of the external environment at the moment in real time. Therefore, after the charging is finished or the charging connection is disconnected, the charging pile records the following information of the charging process, including: the charging method comprises the steps of obtaining vehicle frame number VIN, battery identification codes, battery types, battery rated capacity, initial battery capacity percentage, final battery capacity percentage, charging start time, charging end time, charging pile output total electric quantity, environment average temperature in the charging process and other electric vehicle charging information, and uploading the electric vehicle charging information to a server.
Further, the server records the electric vehicle charging information reported by the charging pile, and stores the charging data information of the vehicle according to the electric vehicle charging information VIN.
In the embodiment of the invention, the server identifies the specific vehicle type according to the vehicle frame number VIN, and continuously iteratively calculates the correction coefficient of the specific vehicle type according to models of different vehicles of the same vehicle type.
And step 204, inquiring in a preset database, acquiring charging electric quantity data matched with the vehicle identification number, calculating the SOH (state of health) of the battery according to the charging electric quantity data, and sending the SOH to a terminal for display.
In the embodiment of the invention, when the SOH information of the specified vehicle needs to be obtained, the client (such as an App, a webpage, a third-party application and the like) can inquire the server through the VIN code of the specified vehicle, and the server calculates according to the charging electric quantity data of the vehicle and returns the SOH information to the client.
Specifically, in the data reported by the single charge, the health of the single-charge battery SOH is:
SOH＝C*η/V/D/f(T) (1)
wherein V is the rated capacity of the battery, D is the percentage capacity change of the battery, C is the total output electric quantity of the charging pile, T is the average ambient temperature in the charging process, eta is the charging efficiency correction coefficient of the vehicle identification number, and f (T) is the charging correction coefficient of the vehicle type at different temperatures.
It will be appreciated that the weight of the single charge data is related to the change in battery capacity, with higher weights being given for greater changes in battery capacity. In addition, the more recent data is, the higher the weight thereof is. A variable threshold parameter M may be set, representing M complete 100% charge.
For example, the charging data of the vehicle type is sorted according to the time, the serial number is from 1, and D1+D2+…+Dn-1<M<＝D1+D2+…+DnThe SOH is calculated as shown in equation (2):
SOH＝(S1*D1+S2*D2+…+Sn*Dn)/(D1+D2+…+Dn) (2)
wherein D isnChange in the percentage capacity of the battery for the nth charge, n being the number of charge recordings and being a positive integer greater than 1, SnFor the health SOH of the battery charged for the nth time, M is a variable threshold parameter, which represents M times of complete 100% charge.
The charging times of the vehicle corresponding to the vehicle identification number are k times, k is less than or equal to n, D1+D2+…+Dk<M calculates SOH as shown in equation (3):
SOH＝(S1*D1+S2*D2+…+Sk*Dk)/(D1+D2+…+Dk) (3)
wherein D iskChange of percentage capacity of battery for k-th charging, k being number of charging records and being positive integer greater than 1, SkFor the k-th charge, SOH, M is a variable threshold parameter, representing M full 100% charge.
It should be noted that the charging efficiency correction coefficient η is a charging efficiency correction coefficient of a specific vehicle type, and may be calibrated by setting an initial value according to the vehicle type.
It should be noted that the charging temperature correction coefficient f (t) is a charging correction coefficient curve of a specific vehicle type at different temperatures, and may be calibrated by setting an initial value according to the vehicle type according to different changes of the temperatures.
Further, as shown in fig. 4, the server is connected to the client, and sends the battery health degree to the terminal for display.
Therefore, the vehicle-mounted SOH data acquisition system has good universality, can be adapted to different vehicle types, and can conveniently acquire SOH data.
According to the method for evaluating the health degree of the battery of the electric automobile, the charging information of the electric automobile sent by the charging pile is received; wherein, electric automobile charging information includes: the system comprises a vehicle identification number, a database, a vehicle model information database and a correction coefficient database, wherein the vehicle identification number stores electric vehicle charging information in the database according to the vehicle identification number, identifies vehicle model information according to the vehicle identification number, determines vehicle models of different vehicles according to the vehicle model information, and determines the correction coefficient of the vehicle model information according to the vehicle models; and the correction coefficient comprises a charging efficiency correction coefficient and a charging temperature correction coefficient, the charging efficiency correction coefficient and the charging temperature correction coefficient are inquired in a preset database, charging electric quantity data matched with the vehicle identification number are obtained, the battery health degree SOH is calculated according to the charging electric quantity data, and the SOH is sent to a terminal for display. From this, based on all vehicles can be through the actual conditions that fills electric pile charging, through the record and the processing to filling electric pile charging record data, can and then estimate SOH through this vehicle historical information, the difference of charging efficiency under different motorcycle types and the different temperatures of having considered simultaneously, and then estimation SOH that can be more accurate to and through setting up the M parameter, can estimate SOH through the record of charging recently, and then more accurate.
Corresponding to the method for evaluating the health degree of the battery of the electric vehicle provided in the embodiment of fig. 1 to 4, the present invention further provides a device for evaluating the health degree of the battery of the electric vehicle, and since the device for evaluating the health degree of the battery of the electric vehicle provided in the embodiment of the present invention corresponds to the method for evaluating the health degree of the battery of the electric vehicle provided in the embodiment of fig. 1 to 4, the embodiment of the method for evaluating the health degree of the battery of the electric vehicle is also applicable to the device for evaluating the health degree of the battery of the electric vehicle provided in the embodiment of the present invention, and will not be described in detail in the embodiment of the present.
Fig. 5 is a schematic structural diagram of an apparatus for evaluating health of a battery of an electric vehicle according to a third embodiment of the present invention.
As shown in fig. 5, the device 500 for evaluating the battery health of an electric vehicle is applied to a server, and includes: a first receiving module 501, an obtaining module 502, a calculating module 503 and a sending module 504.
A first receiving module 501, configured to receive a battery health degree evaluation request; wherein the battery health assessment request includes a vehicle identification number.
The obtaining module 502 is configured to query a preset database to obtain charging capacity data matched with the vehicle identification number.
And a calculating module 503, configured to calculate a battery health level SOH according to the charging capacity data.
A sending module 504, configured to send the SOH to a terminal for display.
Further, in a possible implementation manner of the embodiment of the present invention, the apparatus further includes: the second receiving module is used for receiving the electric automobile charging information sent by the charging pile; wherein, the electric automobile charging information includes: the vehicle identification number; and the storage module is used for storing the charging information of the electric automobile in the database according to the vehicle identification number.
Further, in a possible implementation manner of the embodiment of the present invention, the apparatus further includes: the identification module is used for identifying vehicle type information according to the vehicle identification number; the determining module is used for determining vehicle models of different vehicles according to the vehicle model information and determining a correction coefficient of the vehicle model information according to the vehicle models; wherein the correction coefficient comprises a charging efficiency correction coefficient and a charging temperature correction coefficient.
Further, in a possible implementation manner of the embodiment of the present invention, when the number of times of charging of the vehicle corresponding to the vehicle identification number is equal to 1, the calculating module calculates the SOH as shown in formula (1):
SOH＝C*η/V/D/f(T) (1)
wherein V is the rated capacity of the battery, D is the percentage capacity change of the battery, C is the total output electric quantity of the charging pile, T is the average ambient temperature in the charging process, eta is the charging efficiency correction coefficient of the vehicle identification number, and f (T) is the charging correction coefficient of the vehicle type at different temperatures.
Further, in a possible implementation manner of the embodiment of the present invention, when the number of times of charging the vehicle corresponding to the vehicle identification number is greater than 1, the calculating module is specifically configured to:
inquiring to obtain the target charging times as n times, wherein the vehicle charging times corresponding to the vehicle identification number are k times, and if k is more than n times, D1+D2+…+Dn-1<M<＝D1+D2+…+DnAnd calculating the SOH as shown in formula (2):
SOH＝(S1*D1+S2*D2+…+Sn*Dn)/(D1+D2+…+Dn) (2)
wherein D isnChange in the percentage capacity of the battery for the nth charge, n being the number of charge recordings and being a positive integer greater than 1, SnFor the health SOH of the battery charged for the nth time, M is a variable threshold parameter, which represents M times of complete 100% charge.
Further, in a possible implementation manner of the embodiment of the present invention, the calculation module is specifically further configured to:
the number of times of charging the vehicle corresponding to the vehicle identification number is k times, wherein k is less thanIs equal to said n, D1+D2+…+Dk<M calculates the SOH as shown in equation (3):
SOH＝(S1*D1+S2*D2+…+Sk*Dk)/(D1+D2+…+Dk) (3)
wherein D iskChange of percentage capacity of battery for k-th charging, k being number of charging records and being positive integer greater than 1, SkFor the k-th charge, SOH, M is a variable threshold parameter, representing M full 100% charge.
According to the device for evaluating the battery health degree of the electric vehicle, disclosed by the embodiment of the invention, the request for evaluating the battery health degree is received; wherein the battery health assessment request includes a vehicle identification number; inquiring in a preset database to obtain charging electric quantity data matched with the vehicle identification number; and calculating the SOH of the battery according to the charging capacity data, and sending the SOH to the terminal for display. Therefore, the charging electric quantity data are processed, and the efficiency and the accuracy of the health degree evaluation of the battery of the electric automobile are improved.
Fig. 6 is a schematic structural diagram of a battery health degree evaluation system of an electric vehicle according to a fourth embodiment of the present invention.
As shown in fig. 6, the system for evaluating the health degree of a battery of an electric vehicle includes: the charging pile 100, the electric vehicle 300 and the server 500 according to the previous embodiment.
The charging pile 100 is respectively connected with the server 500 and the electric vehicle 300; the charging pile 100 is used for acquiring charging information of the electric vehicle 300; wherein the charging information includes a vehicle identification number; the server 500 is configured to receive the charging information, store the charging information in a database according to the vehicle identification number, so as to receive the battery health degree evaluation request, query the battery health degree evaluation request in a preset database, obtain charging electric quantity data matched with the vehicle identification number, calculate a battery health degree SOH according to the charging electric quantity data, and send the SOH to the terminal for display.
Therefore, the charging electric quantity data are processed, and the efficiency and the accuracy of the health degree evaluation of the battery of the electric automobile are improved.
In order to implement the foregoing embodiments, the present invention further provides a server, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the method for evaluating the health of a battery of an electric vehicle as set forth in any of the foregoing embodiments of the present invention is implemented.
In order to achieve the above embodiments, the present invention further provides a non-transitory computer readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method for evaluating the health of a battery of an electric vehicle according to any of the above embodiments of the present invention.
In order to implement the foregoing embodiments, the present invention further provides a computer program product, wherein when instructions in the computer program product are executed by a processor, the method for evaluating the health of a battery of an electric vehicle according to any of the foregoing embodiments of the present invention is performed.
FIG. 7 illustrates a block diagram of an exemplary electronic device or server suitable for use in implementing embodiments of the present invention. The electronic device or server 12 shown in fig. 7 is only an example and should not bring any limitations to the functionality and scope of use of the embodiments of the present invention.
As shown in fig. 7, the electronic device or server 12 is in the form of a general purpose computing device. The components of the electronic device or server 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The electronic device or server 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by the electronic device or server 12 and includes both volatile and nonvolatile media, removable and non-removable media.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The electronic device or server 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with the electronic device or server 12, and/or with any devices (e.g., network card, modem, etc.) that enable the electronic device or server 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the electronic device or server 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public Network such as the Internet) via the Network adapter 20. As shown, the network adapter 20 communicates with the electronic device or other module of the server 12 over the bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device or server 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing, for example, implementing the methods mentioned in the foregoing embodiments, by executing programs stored in the system memory 28.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (16)
1. The method for evaluating the battery health degree of the electric automobile is applied to a server and comprises the following steps:
receiving a battery health degree evaluation request; wherein the battery health assessment request includes a vehicle identification number;
inquiring in a preset database to obtain charging electric quantity data matched with the vehicle identification number;
and calculating the SOH of the battery according to the charging electric quantity data, and sending the SOH to a terminal for display.
2. The method of claim 1, further comprising:
receiving electric vehicle charging information sent by a charging pile; wherein, the electric automobile charging information includes: the vehicle identification number;
and storing the charging information of the electric automobile in the database according to the vehicle identification number.
3. The method of claim 2, further comprising:
identifying vehicle type information according to the vehicle identification number;
determining vehicle models of different vehicles according to the vehicle model information, and determining a correction coefficient of the vehicle model information according to the vehicle models; wherein the correction coefficient comprises a charging efficiency correction coefficient and a charging temperature correction coefficient.
4. The method according to claim 1, wherein said calculating the battery health SOH from said charging capacity data is as shown in formula (1) when said vehicle identification number corresponds to a vehicle charging number equal to 1:
SOH＝C*η/V/D/f(T) (1)
wherein V is the rated capacity of the battery, D is the percentage capacity change of the battery, C is the total output electric quantity of the charging pile, T is the average ambient temperature in the charging process, eta is the charging efficiency correction coefficient of the vehicle identification number, and f (T) is the charging correction coefficient of the vehicle type at different temperatures.
5. The method of claim 1, wherein when the vehicle identification number corresponds to a vehicle charge count greater than 1, said calculating a battery health SOH from the charge capacity data comprises:
inquiring to obtain the target charging times as n times, wherein the vehicle charging times corresponding to the vehicle identification number are k times, and if k is more than n times, D1+D2+…+Dn-1<M<＝D1+D2+…+DnAnd calculating the SOH as shown in formula (2):
SOH＝(S1*D1+S2*D2+…+Sn*Dn)/(D1+D2+…+Dn) (2)
wherein D isnChange in the percentage capacity of the battery for the nth charge, n being the number of charge recordings and being a positive integer greater than 1, SnFor the health SOH of the battery charged for the nth time, M is a variable threshold parameter, which represents M times of complete 100% charge.
6. The method of claim 5, further comprising:
the number of times of charging the vehicle corresponding to the vehicle identification number is k times, wherein k is less than or equal to n and D1+D2+…+Dk<M calculates the SOH as shown in equation (3):
SOH＝(S1*D1+S2*D2+…+Sk*Dk)/(D1+D2+…+Dk) (3)
wherein D iskChange of percentage capacity of battery for k-th charging, k being number of charging records and being positive integer greater than 1, SkThe SOH of the battery for the k-th charging, M is a variable threshold parameter representing M timesThe full 100% charge.
7. The utility model provides an electric automobile battery health degree evaluation device which is characterized in that, is applied to the server, includes:
the first receiving module is used for receiving a battery health degree evaluation request; wherein the battery health assessment request includes a vehicle identification number;
the acquisition module is used for inquiring in a preset database and acquiring charging electric quantity data matched with the vehicle identification number;
the calculation module is used for calculating the SOH (state of health) of the battery according to the charging electric quantity data;
and the sending module is used for sending the SOH to a terminal for displaying.
8. The apparatus of claim 7, further comprising:
the second receiving module is used for receiving the electric automobile charging information sent by the charging pile; wherein, the electric automobile charging information includes: the vehicle identification number;
and the storage module is used for storing the charging information of the electric automobile in the database according to the vehicle identification number.
9. The apparatus of claim 8, further comprising:
the identification module is used for identifying vehicle type information according to the vehicle identification number;
the determining module is used for determining vehicle models of different vehicles according to the vehicle model information and determining a correction coefficient of the vehicle model information according to the vehicle models; wherein the correction coefficient comprises a charging efficiency correction coefficient and a charging temperature correction coefficient.
10. The apparatus of claim 7, wherein the calculation module calculates the SOH as shown in formula (1) when the vehicle identification number corresponds to a vehicle charge number equal to 1:
SOH＝C*η/V/D/f(T) (1)
wherein V is the rated capacity of the battery, D is the percentage capacity change of the battery, C is the total output electric quantity of the charging pile, T is the average ambient temperature in the charging process, eta is the charging efficiency correction coefficient of the vehicle identification number, and f (T) is the charging correction coefficient of the vehicle type at different temperatures.
11. The apparatus according to claim 7, wherein when the vehicle identification number corresponds to a vehicle charge count greater than 1, the calculation module is specifically configured to:
inquiring to obtain the target charging times as n times, wherein the vehicle charging times corresponding to the vehicle identification number are k times, and if k is more than n times, D1+D2+…+Dn-1<M<＝D1+D2+…+DnAnd calculating the SOH as shown in formula (2):
SOH＝(S1*D1+S2*D2+…+Sn*Dn)/(D1+D2+…+Dn) (2)
wherein D isnChange in the percentage capacity of the battery for the nth charge, n being the number of charge recordings and being a positive integer greater than 1, SnFor the health SOH of the battery charged for the nth time, M is a variable threshold parameter, which represents M times of complete 100% charge.
12. The apparatus of claim 11, wherein the computing module is further specifically configured to:
the number of times of charging the vehicle corresponding to the vehicle identification number is k times, wherein k is less than or equal to n and D1+D2+…+Dk<M calculates the SOH as shown in equation (3):
SOH＝(S1*D1+S2*D2+…+Sk*Dk)/(D1+D2+…+Dk) (3)
wherein D iskChange of percentage capacity of battery for k-th charging, k being number of charging records and being positive integer greater than 1, SkFor the k time chargingThe electrical battery health, SOH, M, is a variable threshold parameter that represents M complete 100% charge.
13. An electric vehicle battery health assessment system, characterized by comprising the server, the charging pile and the electric vehicle of any one of claims 7 to 12; the charging pile is respectively connected with the server and the electric automobile;
the charging pile is used for acquiring charging information of the electric automobile; wherein the charging information includes the vehicle identification number;
the server is used for receiving the charging information, storing the charging information in a database according to the vehicle identification number so as to receive a battery health degree evaluation request, inquiring in a preset database, acquiring charging electric quantity data matched with the vehicle identification number, calculating the SOH of the battery health degree according to the charging electric quantity data, and sending the SOH to a terminal for display.
14. A server, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the method for assessing battery health of an electric vehicle according to any one of claims 1 to 6.
15. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the program, when executed by a processor, implements the method for evaluating the health of a battery of an electric vehicle according to any one of claims 1 to 6.
16. A computer program product, characterized in that when the instructions in the computer program product are executed by a processor, the method for evaluating the health of a battery of an electric vehicle according to any one of claims 1 to 6 is performed.
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