CN111055725A - Electric vehicle battery aging identification method and device, terminal equipment and storage medium - Google Patents
Electric vehicle battery aging identification method and device, terminal equipment and storage medium Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
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- 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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- 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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- 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
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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- 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
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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Abstract
The embodiment of the application discloses a method and a device for identifying aging of an electric vehicle battery, terminal equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring charging data of the electric vehicle; determining whether the charging data meets a preset condition; and if the charging data meet the preset conditions, judging that the battery of the electric vehicle is aged. According to the embodiment of the application, whether the battery of the electric vehicle is aged or not is judged by judging whether the electric vehicle charging data accord with the preset condition or not, the identification of the electric vehicle battery aging is realized, whether the electric vehicle battery is aged or not is known in time, the potential safety hazard of the electric vehicle charging process is reduced, and the safety of the electric vehicle charging process is improved.
Description
Technical Field
The application belongs to the technical field of electric vehicles, and particularly relates to an electric vehicle battery aging identification method and device, terminal equipment and a computer readable storage medium.
Background
In the field of transportation, motorization of vehicles has gradually become a trend. The electric vehicle not only can obviously improve the energy conversion efficiency, but also is beneficial to reducing the emission of greenhouse gases, improving the air quality and reducing the noise pollution. However, as an important vehicle, the electric vehicle brings convenience and brings many potential safety hazards, and a battery explosion event frequently occurs, which requires that the safety of the electric vehicle battery in the charging process is high.
At present, an effective identification method for the aging of the battery of the electric vehicle does not exist. In addition, the battery of the electric vehicle is generally placed in the electric vehicle, and the user of the electric vehicle cannot see the battery, and cannot judge whether the battery is aged even if the user sees the battery occasionally. Furthermore, electric vehicle users are generally not concerned about the battery health of the electric vehicle. Therefore, if the battery aging phenomenon of the electric vehicle cannot be known in time, potential safety hazards can be brought to the charging process of the electric vehicle.
Disclosure of Invention
The embodiment of the application provides an electric vehicle battery aging identification method, an electric vehicle battery aging identification device, terminal equipment and a computer readable storage medium, so that the electric vehicle battery aging condition is automatically identified according to electric vehicle charging data, and the safety of an electric vehicle charging process is improved. .
In a first aspect, an embodiment of the present application provides an electric vehicle battery aging identification method, including:
acquiring charging data of the electric vehicle;
determining whether the charging data meets a preset condition, wherein the preset condition comprises at least one of the following items: the charging time is less than or equal to the charging time threshold; the oscillation number is greater than or equal to an oscillation number threshold value, and the average voltage is less than a preset threshold value; the charging data has a second stage, the duration time of the second stage is greater than or equal to a first preset time threshold, the starting point of the second stage is smaller than a preset time point, and the total charging amount of the charging process corresponding to the charging data is smaller than a preset charging amount threshold; the charging data has a second stage, the duration time of the second stage is longer than the first preset duration threshold and is less than or equal to a second preset duration threshold, and the current of the second stage is less than a preset current threshold; the total power of the charging data is smaller than a first preset power threshold value, and the average power is smaller than a second preset power threshold value;
and if the charging data meet the preset conditions, judging that the battery of the electric vehicle is aged.
It can be seen that this application embodiment judges whether the battery of electric motor car appears ageing phenomenon through judging whether electric motor car charging data accords with the condition of predetermineeing, has realized the discernment to electric motor car battery ageing phenomenon to and learn out in time whether electric motor car battery is ageing, reduce electric motor car charging process's potential safety hazard, thereby improve electric motor car charging process's security.
With reference to the first aspect, in a possible implementation manner, the determining whether the charging data meets a preset condition includes:
judging whether the charging time of the charging data is less than or equal to the charging time threshold;
if the charging time is less than or equal to the charging time threshold, judging that the charging data meets the preset condition;
if the charging duration is greater than the charging duration threshold, respectively judging whether the oscillation quantity of the charging data is greater than or equal to the oscillation quantity threshold and whether the average voltage of the charging data is less than the preset threshold;
if the oscillation quantity is greater than or equal to the oscillation quantity threshold value and the average voltage is less than the preset threshold value, judging that the charging data meets the preset condition;
if the oscillation quantity is smaller than the oscillation quantity threshold and/or the average voltage is larger than or equal to the preset threshold, respectively judging whether the charging data has a second stage, whether the duration time of the second stage is larger than or equal to the first preset duration threshold, whether the starting time point of the second stage is smaller than the preset time point and whether the total charging amount of the charging process corresponding to the charging data is smaller than the preset charging amount threshold;
if the charging data has a second stage, the duration of the second stage is greater than or equal to the first preset duration threshold, the starting time point of the second stage is less than the preset time point, and the total charging amount of the charging process corresponding to the charging data is less than the preset charging amount threshold, determining that the charging data meets the preset condition;
when at least one of the charging data does not have a second stage, the duration of the second stage is less than the first preset time threshold, the starting time point of the second stage is greater than or equal to the preset time point, or the total charging amount of the charging process corresponding to the charging data is greater than or equal to the preset charging amount threshold exists, whether the charging data has the second stage, whether the duration of the second stage is greater than the first preset time threshold and less than or equal to the second preset time threshold, and whether the current of the charging data is less than a preset current threshold are respectively judged;
if the charging data has a second stage, the duration of the second stage is greater than the first preset time threshold and less than or equal to the second preset time threshold, and the current of the charging data is less than a preset current threshold, determining that the charging data meets the preset condition;
when at least one of the charging data does not have a second phase, the duration of the second phase is less than or equal to a first preset time threshold or is greater than or equal to a second preset time threshold, and the current of the charging data is greater than or equal to a preset current threshold exists, whether the total power of the charging data is less than a first preset power threshold and whether the average power is less than a second preset power threshold is respectively judged;
if the total power of the charging data is smaller than the first preset power threshold and the average power is smaller than the second preset power threshold, determining that the charging data meets the preset condition;
and if the total power of the charging data is greater than or equal to the first preset power threshold value and/or the average power is greater than or equal to the second preset power threshold value, determining that the charging data does not meet the preset condition.
With reference to the first aspect, in a possible implementation manner, after determining that the battery of the electric vehicle has an aging phenomenon, the method further includes:
generating prompt information and/or suggestion information of battery aging;
and sending the prompt information and/or the suggestion information to a terminal device of a user of the electric vehicle to instruct the terminal device to present the prompt information and/or the suggestion information to the user of the electric vehicle.
With reference to the first aspect, in a possible implementation manner, before the acquiring the charging data of the electric vehicle, the method further includes:
acquiring charging order data of a user of the electric vehicle;
detecting whether the electric vehicle has been analyzed according to the charging order data;
and if not, entering the step of acquiring the charging data of the electric vehicle.
With reference to the first aspect, in a possible implementation manner, the acquiring charging data of an electric vehicle includes:
and acquiring telemetering data corresponding to the charging pile through charging order data of the user of the electric vehicle, wherein the telemetering data comprises the charging data.
In a second aspect, an embodiment of the present application provides an apparatus for identifying battery aging of an electric vehicle, including:
the acquisition module is used for acquiring charging data of the electric vehicle;
an identification module, configured to determine whether the charging data meets a preset condition, where the preset condition includes at least one of the following: the charging time is less than or equal to the charging time threshold; the oscillation number is greater than or equal to an oscillation number threshold value, and the average voltage is less than a preset threshold value; the charging data has a second stage, the duration time of the second stage is greater than or equal to a first preset time threshold, the starting point of the second stage is smaller than a preset time point, and the total charging amount of the charging process corresponding to the charging data is smaller than a preset charging amount threshold; the charging data has a second stage, the duration time of the second stage is greater than a first preset duration threshold and less than or equal to a second preset duration threshold, and the current of the second stage is less than a preset current threshold; the total power of the charging data is smaller than a first preset power threshold value, and the average power is smaller than a second preset power threshold value;
and the judging module is used for judging that the battery of the electric vehicle is aged if the charging data meets the preset condition.
With reference to the second aspect, in a possible implementation manner, the identification module is specifically configured to:
judging whether the charging time of the charging data is less than or equal to the charging time threshold;
if the charging time is less than or equal to the charging time threshold, judging that the charging data meets the preset condition;
if the charging duration is greater than the charging duration threshold, respectively judging whether the oscillation quantity of the charging data is greater than or equal to the oscillation quantity threshold and whether the average voltage of the charging data is less than the preset threshold;
if the oscillation quantity is greater than or equal to the oscillation quantity threshold value and the average voltage is less than the preset threshold value, judging that the charging data meets the preset condition;
if the oscillation quantity is smaller than the oscillation quantity threshold and/or the average voltage is larger than or equal to the preset threshold, respectively judging whether the charging data has a second stage, whether the duration time of the second stage is larger than or equal to the first preset duration threshold, whether the starting time point of the second stage is smaller than the preset time point and whether the total charging amount of the charging process corresponding to the charging data is smaller than the preset charging amount threshold;
if the charging data has a second stage, the duration of the second stage is greater than or equal to the first preset duration threshold, the starting time point of the second stage is less than the preset time point, and the total charging amount of the charging process corresponding to the charging data is less than the preset charging amount threshold, determining that the charging data meets the preset condition;
when at least one of the charging data does not have a second stage, the duration of the second stage is less than the first preset time threshold, the starting time point of the second stage is greater than or equal to the preset time point, or the total charging amount of the charging process corresponding to the charging data is greater than or equal to the preset charging amount threshold exists, whether the charging data has the second stage, whether the duration of the second stage is greater than the first preset time threshold and less than or equal to the second preset time threshold, and whether the current of the charging data is less than a preset current threshold are respectively judged;
if the charging data has a second stage, the duration of the second stage is greater than the first preset time threshold and less than or equal to the second preset time threshold, and the current of the charging data is less than a preset current threshold, determining that the charging data meets the preset condition;
when at least one of the charging data does not have a second phase, the duration of the second phase is less than or equal to a first preset time threshold or is greater than or equal to a second preset time threshold, and the current of the charging data is greater than or equal to a preset current threshold exists, whether the total power of the charging data is less than a first preset power threshold and whether the average power is less than a second preset power threshold is respectively judged;
if the total power of the charging data is smaller than the first preset power threshold and the average power is smaller than the second preset power threshold, determining that the charging data meets the preset condition;
and if the total power of the charging data is greater than or equal to the first preset power threshold value and/or the average power is greater than or equal to the second preset power threshold value, determining that the charging data does not meet the preset condition.
With reference to the second aspect, in a possible implementation manner, the method further includes:
the generating module is used for generating prompt information and/or suggestion information of battery aging;
and the prompting module is used for sending the prompting information and/or the suggestion information to terminal equipment of a user of the electric vehicle so as to instruct the terminal equipment to present the prompting information and/or the suggestion information to the user of the electric vehicle.
In a third aspect, an embodiment of the present application provides a terminal device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor, when executing the computer program, implements the method according to any one of the above first aspects.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the method according to any one of the above first aspects.
In a fifth aspect, embodiments of the present application provide a computer program product, which, when run on a terminal device, causes the terminal device to perform the method of any one of the first aspect.
It is understood that the beneficial effects of the second aspect to the fifth aspect can be referred to the related description of the first aspect, and are not described herein again.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic block diagram of a structure of an electric vehicle charging system provided in an embodiment of the present application;
fig. 2 is a schematic block diagram of a flow of an electric vehicle battery aging identification method according to an embodiment of the present application;
fig. 3 is a schematic block diagram of a specific flow of step S202 provided in the embodiment of the present application;
fig. 4 is another schematic flow chart of a method for identifying battery aging of an electric vehicle according to an embodiment of the present application;
fig. 5 is a block diagram of a structure of an electric vehicle battery aging identification apparatus provided in an embodiment of the present application;
fig. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application.
The following first describes a system architecture and application scenarios that may be involved in the embodiments of the present application.
Referring to fig. 1, a schematic block diagram of a structure of an electric vehicle charging system provided in an embodiment of the present application includes a charging station 11, an electric vehicle 12, a user terminal device 13, and a server 14, where the charging station includes a plurality of charging piles, and each charging pile includes a plurality of charging sockets. Corresponding APP can be installed in the user terminal equipment to realize corresponding functions in the charging process, such as code scanning payment, charging order generation, charging order uploading and the like. The user terminal device may be, but is not limited to, a mobile phone, a smart wearable device, a tablet computer, or the like. The electric vehicle may be any type of electric vehicle, for example, an electric two-wheeled vehicle or an electric four-wheeled vehicle.
The electric vehicle charging process based on the system can comprise the following steps: after a user drives the electric vehicle to arrive at a charging station, scanning the two-dimensional code on the charging pile through a mobile phone to generate a charging order; after the corresponding socket of the charging pile supplies power, a user can connect the electric vehicle to the charging pile through the plug and the power adapter to start charging the electric vehicle; when the charging time reaches the preset charging time, the charging fee reaches the prepayment fee or the electric vehicle is full, the charging plug can be unplugged, and a charging process is completed.
In the charging process of the electric vehicle, the charging pile can record the charging data of the electric vehicle in real time, report the charging data to the charging pile management platform, and store the charging data to the database. The charging data generally includes charging current data, charging voltage data, charging power data, and the like. In addition, the charging order data of the user can be uploaded to the server for storage.
Based on the system architecture shown in fig. 1, the server may analyze charging data corresponding to a certain charging order of a certain user through the recorded data to determine whether the battery of the electric vehicle of the user is aged, and if it is analyzed that the aging phenomenon of the battery of the electric vehicle of the certain user occurs, prompt information may be generated to warn the user about the health condition of the battery of the electric vehicle. For example, after a user completes a charging order, the server acquires telemetering data corresponding to a charging pile according to the charging order of the user so as to obtain charging current data of the electric vehicle of the user during the current charging, and then judges whether the charging current data meets a preset condition, if so, the battery of the user is judged to be aged; and then, the server generates aging prompt information, the aging prompt information is sent to a user mobile phone, and the aging prompt information is displayed to the user through the user mobile phone APP, so that the user can timely know the battery health condition of the electric vehicle.
Of course, the embodiments of the present application may not be based on the above system architecture or application scenario, and the purposes of the embodiments of the present application may also be achieved.
The technical solutions provided in the embodiments of the present application will be described below by specific embodiments.
Referring to fig. 2, a schematic flow chart of a method for identifying battery aging of an electric vehicle according to an embodiment of the present application may include the following steps:
and step S201, acquiring charging data of the electric vehicle.
It should be noted that the charging data generally refers to data of a charging process of the electric vehicle. Based on the system architecture or the application scenario of fig. 1, a charging process refers to a process corresponding to one charging order, that is, the charging data is charging data corresponding to one charging order, and at this time, the charging data is reported by the charging pile. In other words, in some embodiments, the telemetry data uploaded by the corresponding charging pile may be acquired through charging order data of a user of the electric vehicle, where the telemetry data includes charging data. The charging data includes, but is not limited to, charging current data, charging voltage data, charging power data and the like, and the charging order data includes information such as a user unique identifier, charging start time, charging end time, charging pile number and the like. Specifically, after a user completes a charging order, the server searches telemetering data reported by a corresponding charging pile from a database according to information of a user unique identifier, charging start time, charging end time, a charging pile number and the like in the charging order, and then searches charging data corresponding to the user unique identifier, the charging start time, the charging end time and the like from the telemetering data so as to obtain charging data corresponding to the current charging of the user.
Of course, the technical solution of the embodiment of the present application may not be applied to the system architecture or the application scenario shown in fig. 1, and in this case, the charging data may refer to charging data recorded when the electric vehicle is charged by a certain charging device.
Step S202, determining whether the charging data meets a preset condition.
Wherein the preset condition comprises at least one of the following conditions:
the first item: the charging time is less than or equal to the charging time threshold;
the second term is: the oscillation number is greater than or equal to an oscillation number threshold value, and the average voltage is less than a preset threshold value;
the third item: the charging data has a second stage, the duration time of the second stage is greater than or equal to a first preset time threshold, the starting point of the second stage is smaller than a preset time point, and the total charging amount of the charging process corresponding to the charging data is smaller than a preset charging amount threshold;
the fourth item: the charging data has a second stage, the duration time of the second stage is greater than or equal to a first preset duration threshold and less than or equal to a second preset duration threshold, and the current of the second stage is less than a preset current threshold;
the fifth item: the total power of the charging data is smaller than a first preset power threshold value and the average power is smaller than a second preset power threshold value.
It is understood that the charging period may be calculated by the charging start time and the charging end time. When the charging time period is less than or equal to the charging time period threshold, it may be determined that the charging time is too short. The charging duration threshold is an empirical threshold, for example, the charging duration threshold is 5 hours.
In the embodiment of the present application, the oscillation may be defined as: the number of rising times is more than 4 and the number of falling times is more than 4 in a certain time period. Wherein, the rising amplitude is greater than 0.49 and defined as a rise, and the falling amplitude is greater than 0.49 and defined as a fall. And counting the current oscillation times in the charging data according to the oscillation definition and the charging current data in the charging data. In the charging process of the electric vehicle, the charging voltage is generally constant, the charging current data can change along with the change of the charging time, and the oscillation mainly aims at the charging current data.
The oscillation number threshold and the preset threshold are empirical thresholds. In this embodiment, the oscillation number threshold may be 5, and the preset threshold may be an electricity consumption threshold for one hour, where the threshold is 0.05. In specific application, after the average voltage is calculated according to charging voltage data, the average voltage and the unit of the preset threshold are unified, and then the average voltage and the unit of the preset threshold are compared. When the oscillation quantity of the charging data is greater than or equal to the oscillation quantity threshold and the average voltage is less than the preset threshold, it can be determined that the charging amount is small and the charging is oscillating.
It is understood that the complete charging process of the electric vehicle generally includes a first stage, a second stage and a third stage, wherein the first stage is a steady charging of current and voltage, the second stage is a descending charging with a constant voltage and a small current, and the third stage is a trickle charging with a constant voltage and a small current until the current voltage is zero.
The duration of the second phase may be calculated by the time of the end point of the first phase and the time of the end point of the second phase. In this embodiment of the application, the first preset duration threshold may be specifically 0.5 h. The predetermined time may be 79min, for example. The preset charge amount threshold value may be, for example, 0.59508C. The second preset time threshold may be, for example, 1.5h, and the preset current threshold is 0.16A. The first preset power threshold may be, for example, 0.24 and the second preset power threshold may be, for example, 0.05.
And when the charging data meets at least one item of the five items, judging that the battery of the electric vehicle has an aging phenomenon. On the contrary, when none of the above five items is satisfied, it is determined that the charging data does not satisfy the preset condition, at this time, it may be further determined whether the charging data satisfies other types, for example, whether the charging data is normal charging, whether the charging data is simultaneously charging for a plurality of vehicles, and the like, and of course, it may also be directly determined that the battery of the electric vehicle is not aged.
And S203, if the charging data meets the preset conditions, judging that the battery of the electric vehicle is aged.
According to the embodiment of the application, whether the battery of the electric vehicle is aged or not is judged by judging whether the electric vehicle charging data accord with the preset condition or not, the identification of the electric vehicle battery aging is realized, whether the electric vehicle battery is aged or not is known in time, the potential safety hazard of the electric vehicle charging process is reduced, and the safety of the electric vehicle charging process is improved.
The above step S202 will be further described below.
Referring to fig. 3, which is a schematic block diagram illustrating a specific process of step S202 provided in the embodiment of the present application, the specific process of determining whether the charging data meets the preset condition may include:
step S301, judging whether the charging time of the charging data is less than or equal to the charging time threshold. If the charging duration is less than or equal to the charging duration threshold, go to step S302. If the charging duration is greater than the charging duration threshold, the process proceeds to step S303.
And step S302, judging that the charging data meets the preset conditions.
Step S303, respectively judging whether the oscillation quantity of the charging data is greater than or equal to an oscillation quantity threshold value and whether the average voltage of the charging data is less than a preset threshold value; if the oscillation number is greater than or equal to the oscillation number threshold and the average voltage is less than the predetermined threshold, the process returns to step S302. Otherwise, if the oscillation number is smaller than the oscillation number threshold and/or the average voltage is greater than or equal to the preset threshold, the process proceeds to step S304.
Step S304, respectively determining whether the charging data has a second phase, whether the duration of the second phase is greater than or equal to a first preset duration threshold, whether the starting time point of the second phase is less than a preset time point, and whether the total charging amount of the charging process corresponding to the charging data is less than a preset charging amount threshold.
If the charging data has a second phase, the duration of the second phase is greater than or equal to the first preset duration threshold, the starting time point of the second phase is less than the preset time point, and the total charging amount of the charging process corresponding to the charging data is less than the preset charging amount threshold, the process returns to the step S302.
When at least one of the charging data does not have the second phase, the duration of the second phase is less than the first preset duration threshold, the starting time point of the second phase is equal to or greater than the preset time point, or the total charging amount of the charging process corresponding to the charging data is equal to or greater than the preset charging amount threshold exists, the flow proceeds to step S305.
Step S305, respectively determining whether the charging data has a second phase, whether the duration of the second phase is greater than the first preset duration threshold and less than or equal to the second preset duration threshold, and whether the current of the charging data is less than the preset current threshold.
If the charging data has a second phase, the duration of the second phase is greater than the first preset duration threshold and less than or equal to the second preset duration threshold, and the current of the charging data is less than the preset current threshold, the process returns to the step S302.
Otherwise, when at least one of the charging data does not have the second phase, the duration of the second phase is less than or equal to the first preset duration threshold or is greater than or equal to the second preset duration threshold, and the current of the charging data is greater than or equal to the preset current threshold, the step S306 is performed.
Step S306, respectively determining whether the total power of the charging data is smaller than a first preset power threshold and whether the average power is smaller than a second preset power threshold. If the total power of the charging data is smaller than the first preset power threshold and the average power is smaller than the second preset power threshold, the step S302 is returned to. Otherwise, if the total power of the charging data is greater than or equal to the first preset power threshold, and/or the average power is greater than or equal to the second preset power threshold, the step S307 is performed.
And step S307, judging that the charging data does not meet the preset condition.
It should be noted that the judgment process of the above 5 conditions may also be executed in parallel.
The manner of identifying whether the charging data meets the preset condition may be any, for example, the charging data is identified by a pre-trained neural network. However, compared with other identification methods, the method corresponding to fig. 3 performs intelligent calculation on the charging data directly according to the predefined condition, and the identification precision and the identification accuracy are higher.
The technical scheme for identifying the aging of the battery of the electric vehicle can be applied to various scenes. The charging pile scenario based on the system architecture shown in fig. 1 will be described below.
Referring to fig. 4, another schematic flow chart of a method for identifying battery degradation of an electric vehicle according to an embodiment of the present application may include the following steps:
step S401, charging order data of a user of the electric vehicle are obtained.
Specifically, after a user generates a charging order through a mobile phone or other terminal equipment, the user terminal equipment uploads the charging order to the server. The charging order data comprises but is not limited to information such as a user ID, an order electric quantity, a user mobile phone number, an order duration, an equipment ID of a charging pile, a socket serial number of the charging pile, an order ending reason code, an equipment type of the charging pile, an order starting time, an order ending time, a site ID of the charging pile, a site name of the charging pile, a box delivery number of the charging pile and the like.
And step S402, detecting whether the electric vehicle is analyzed according to the charging order data.
Specifically, after receiving the charging order data of the user, the server determines whether the electric vehicle of the user has been subjected to intelligent process charging curve analysis or not based on unique identification information such as a user ID of the charging order data, and if the electric vehicle of the user has been analyzed, generates prompt information according to a previous analysis result, and sends the prompt information to the user terminal device. And if the order is not analyzed, acquiring the charging data corresponding to the order for intelligent analysis.
Step S403, acquiring telemetering data corresponding to the charging pile through charging order data of a user of the electric vehicle, wherein the telemetering data comprises charging data.
Specifically, the server searches corresponding telemetering data from a database of the charging pile management platform according to a user ID, charging pile information, charging site information, order start/end time and the like in the charging order data, wherein the telemetering data is reported by the charging pile and generally comprises charging current data and charging voltage data.
And step S404, determining whether the charging data meets a preset condition.
And S405, if the charging data meet the preset conditions, judging that the battery of the electric vehicle is aged.
It should be noted that steps S404 to S405 are the same as steps S202 to S203, and for related introduction, reference is made to the above corresponding contents, which are not described herein again.
And step S406, generating prompt information and/or suggestion information of battery aging.
And step S407, sending the prompt information and/or the suggestion information to the terminal equipment of the user of the electric vehicle to instruct the terminal equipment to present the prompt information and/or the suggestion information to the user of the electric vehicle.
Specifically, the server may generate a prompt or advice message if it is determined that the battery of the electric vehicle is aged. The prompting information is used for prompting a user that the electric vehicle is aged, and the suggestion information is a countermeasure which can be adopted by the user aiming at the battery aging phenomenon. For example, the server generates information including prompt information and advice information, which is specifically "according to the intelligent analysis of the charging curve, you change little in the amount of electricity although charging for a long time, presumably due to aging of the battery, and advise you to repair or replace the battery".
It can be understood that, in the prior art, when a charging station is on fire or an electric vehicle spontaneously ignites in the charging process, a great part of safety accidents occur, namely, the battery health condition of the electric vehicle cannot be concerned or known in time by an electric vehicle owner, so that potential safety hazards in the charging process cannot be eliminated in time or in advance. And this application embodiment carries out intelligent analysis through the electric motor car charging data to filling electric pile report, judges whether user's electric motor car battery appears the battery phenomenon of ageing, if the battery ages, then generates tip information in order to warn the user for the user in time learns and concerns the battery health status of self electric motor car, in order to reduce or eliminate the potential safety hazard in the electric motor car charging process, improves the security of electric motor car charging process.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Corresponding to the method for identifying the degradation of the battery of the electric vehicle in the above embodiment, fig. 5 shows a block diagram of the device for identifying the degradation of the battery of the electric vehicle provided by the embodiment of the present application, and for convenience of description, only the relevant parts of the embodiment of the present application are shown.
Referring to fig. 5, the apparatus includes:
an obtaining module 51, configured to obtain charging data of an electric vehicle;
an identifying module 52, configured to determine whether the charging data meets a preset condition, where the preset condition includes at least one of the following: the charging time is less than or equal to the charging time threshold; the oscillation number is greater than or equal to an oscillation number threshold value, and the average voltage is less than a preset threshold value; the charging data has a second stage, the duration time of the second stage is greater than or equal to a first preset time threshold, the starting point of the second stage is smaller than a preset time point, and the total charging amount of the charging process corresponding to the charging data is smaller than a preset charging amount threshold; the charging data has a second stage, the duration time of the second stage is greater than a first preset duration threshold value and less than or equal to a second preset duration threshold value, and the current is less than a preset current threshold value; the total power of the second stage is smaller than a first preset power threshold value, and the average power is smaller than a second preset power threshold value;
and the judging module 53 is used for judging that the battery of the electric vehicle has the aging phenomenon if the charging data meets the preset condition.
In a possible implementation manner, the identification module is specifically configured to:
judging whether the charging time of the charging data is less than or equal to a charging time threshold;
if the charging time is less than or equal to the charging time threshold, judging that the charging data meets the preset condition;
if the charging duration is greater than the charging duration threshold, respectively judging whether the oscillation quantity of the charging data is greater than or equal to the oscillation quantity threshold and whether the average voltage of the charging data is less than a preset threshold;
if the oscillation number is larger than or equal to the oscillation number threshold and the average voltage is smaller than a preset threshold, judging that the charging data meets the preset condition;
if the oscillation quantity is smaller than the oscillation quantity threshold value and/or the average voltage is larger than or equal to the preset threshold value, respectively judging whether the charging data has a second stage, whether the duration time of the second stage is larger than or equal to a first preset duration threshold value, whether the starting time point of the second stage is smaller than a preset time point and whether the total charging amount of the charging process corresponding to the charging data is smaller than a preset charging amount threshold value;
if the charging data has a second stage, the duration of the second stage is greater than or equal to a first preset time threshold, the starting time point of the second stage is less than a preset time point, and the total charging amount of the charging process corresponding to the charging data is less than a preset charging amount threshold, determining that the charging data meets a preset condition;
when at least one of the charging data does not have a second stage, the duration of the second stage is less than a first preset time threshold, the starting time point of the second stage is greater than or equal to a preset time point, or the total charging amount of the charging process corresponding to the charging data is greater than or equal to a preset charging amount threshold, respectively judging whether the charging data has the second stage, whether the duration of the second stage is greater than the first preset time threshold and less than or equal to a second preset time threshold, and whether the current of the charging data is less than a preset current threshold;
if the charging data has a second stage, the duration of the second stage is greater than a first preset duration threshold and less than or equal to a second preset duration threshold, and the current of the charging data is less than a preset current threshold, judging that the charging data meets a preset condition;
when the charging data does not have a second stage, the duration of the second stage is less than or equal to a first preset time threshold or is greater than or equal to a second preset time threshold, and the current of the charging data is greater than or equal to at least one of the preset current thresholds, respectively judging whether the total power of the charging data is less than the first preset power threshold and whether the average power is less than the second preset power threshold;
if the total power of the charging data is smaller than a first preset power threshold and the average power is smaller than a second preset power threshold, judging that the charging data meets a preset condition;
and if the total power of the charging data is greater than or equal to a first preset power threshold value and/or the average power is greater than or equal to a second preset power threshold value, judging that the charging data does not meet the preset condition.
In a possible implementation manner, the apparatus may further include:
the generating module is used for generating prompt information and/or suggestion information of battery aging;
and the prompting module is used for sending the prompting information and/or the suggestion information to the terminal equipment of the user of the electric vehicle so as to instruct the terminal equipment to present the prompting information and/or the suggestion information to the user of the electric vehicle.
In a possible implementation manner, the apparatus may further include:
the order data acquisition module is used for acquiring charging order data of a user of the electric vehicle;
the detection module is used for detecting whether the electric vehicle is analyzed or not according to the charging order data; and if not, entering a step of acquiring the charging data of the electric vehicle.
In a possible implementation manner, the obtaining module is specifically configured to:
and acquiring remote measuring data corresponding to the charging pile through charging order data of a user of the electric vehicle, wherein the remote measuring data comprises charging data.
The electric vehicle battery aging identification device has the function of realizing the electric vehicle battery aging identification method, the function can be realized by hardware, and can also be realized by hardware executing corresponding software, the hardware or the software comprises one or more modules corresponding to the function, and the modules can be software and/or hardware.
It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.
Fig. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present application. As shown in fig. 6, the terminal device 6 of this embodiment includes: at least one processor 60, a memory 61, and a computer program 62 stored in the memory 61 and executable on the at least one processor 60, the processor 60 implementing the steps in any of the various method embodiments described above when executing the computer program 62.
The terminal device 6 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor 60, a memory 61. Those skilled in the art will appreciate that fig. 6 is only an example of the terminal device 6, and does not constitute a limitation to the terminal device 6, and may include more or less components than those shown, or combine some components, or different components, such as an input/output device, a network access device, and the like.
The Processor 60 may be a Central Processing Unit (CPU), and the Processor 60 may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 61 may in some embodiments be an internal storage unit of the terminal device 6, such as a hard disk or a memory of the terminal device 6. The memory 61 may also be an external storage device of the terminal device 6 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are equipped on the terminal device 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the terminal device 6. The memory 61 is used for storing an operating system, an application program, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in the above-mentioned method embodiments.
The embodiments of the present application provide a computer program product, which when running on a terminal device, enables the terminal device to implement the steps in the above method embodiments when executed.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, Read-Only Memory (ROM), random-access Memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc. In certain jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and patent practice.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. An electric vehicle battery aging identification method is characterized by comprising the following steps:
acquiring charging data of the electric vehicle;
determining whether the charging data meets a preset condition, wherein the preset condition comprises at least one of the following items: the charging time is less than or equal to the charging time threshold; the oscillation number is greater than or equal to an oscillation number threshold value, and the average voltage is less than a preset threshold value; the charging data has a second stage, the duration time of the second stage is greater than or equal to a first preset time threshold, the starting point of the second stage is smaller than a preset time point, and the total charging amount of the charging process corresponding to the charging data is smaller than a preset charging amount threshold; the charging data has a second stage, the duration time of the second stage is longer than the first preset duration threshold and is less than or equal to a second preset duration threshold, and the current of the second stage is less than a preset current threshold; the total power of the charging data is smaller than a first preset power threshold value, and the average power is smaller than a second preset power threshold value;
and if the charging data meet the preset conditions, judging that the battery of the electric vehicle is aged.
2. The method of claim 1, wherein determining whether the charging data satisfies a preset condition comprises:
judging whether the charging time of the charging data is less than or equal to the charging time threshold;
if the charging time is less than or equal to the charging time threshold, judging that the charging data meets the preset condition;
if the charging duration is greater than the charging duration threshold, respectively judging whether the oscillation quantity of the charging data is greater than or equal to the oscillation quantity threshold and whether the average voltage of the charging data is less than the preset threshold;
if the oscillation quantity is greater than or equal to the oscillation quantity threshold value and the average voltage is less than the preset threshold value, judging that the charging data meets the preset condition;
if the oscillation quantity is smaller than the oscillation quantity threshold and/or the average voltage is larger than or equal to the preset threshold, respectively judging whether the charging data has a second stage, whether the duration time of the second stage is larger than or equal to the first preset duration threshold, whether the starting time point of the second stage is smaller than the preset time point and whether the total charging amount of the charging process corresponding to the charging data is smaller than the preset charging amount threshold;
if the charging data has a second stage, the duration of the second stage is greater than or equal to the first preset duration threshold, the starting time point of the second stage is less than the preset time point, and the total charging amount of the charging process corresponding to the charging data is less than the preset charging amount threshold, determining that the charging data meets the preset condition;
when at least one of the charging data does not have a second stage, the duration of the second stage is less than the first preset time threshold, the starting time point of the second stage is greater than or equal to the preset time point, or the total charging amount of the charging process corresponding to the charging data is greater than or equal to the preset charging amount threshold exists, whether the charging data has the second stage, whether the duration of the second stage is greater than the first preset time threshold and less than or equal to the second preset time threshold, and whether the current of the charging data is less than a preset current threshold are respectively judged;
if the charging data has a second stage, the duration of the second stage is greater than the first preset time threshold and less than or equal to the second preset time threshold, and the current of the charging data is less than a preset current threshold, determining that the charging data meets the preset condition;
when at least one of the charging data does not have a second phase, the duration of the second phase is less than or equal to a first preset time threshold or is greater than or equal to a second preset time threshold, and the current of the charging data is greater than or equal to a preset current threshold exists, whether the total power of the charging data is less than a first preset power threshold and whether the average power is less than a second preset power threshold is respectively judged;
if the total power of the charging data is smaller than the first preset power threshold and the average power is smaller than the second preset power threshold, determining that the charging data meets the preset condition;
and if the total power of the charging data is greater than or equal to the first preset power threshold value and/or the average power is greater than or equal to the second preset power threshold value, determining that the charging data does not meet the preset condition.
3. The method according to claim 1 or 2, further comprising, after determining that the battery of the electric vehicle is aged:
generating prompt information and/or suggestion information of battery aging;
and sending the prompt information and/or the suggestion information to a terminal device of a user of the electric vehicle to instruct the terminal device to present the prompt information and/or the suggestion information to the user of the electric vehicle.
4. The method of claim 3, prior to said obtaining charging data for the electric vehicle, further comprising:
acquiring charging order data of a user of the electric vehicle;
detecting whether the electric vehicle has been analyzed according to the charging order data;
and if not, entering the step of acquiring the charging data of the electric vehicle.
5. The method of claim 4, wherein the obtaining charging data for the electric vehicle comprises:
and acquiring telemetering data corresponding to the charging pile through charging order data of the user of the electric vehicle, wherein the telemetering data comprises the charging data.
6. An electric vehicle battery aging recognition device, comprising:
the acquisition module is used for acquiring charging data of the electric vehicle;
an identification module, configured to determine whether the charging data meets a preset condition, where the preset condition includes at least one of the following: the charging time is less than or equal to the charging time threshold; the oscillation number is greater than or equal to an oscillation number threshold value, and the average voltage is less than a preset threshold value; the charging data has a second stage, the duration time of the second stage is greater than or equal to a first preset time threshold, the starting point of the second stage is smaller than a preset time point, and the total charging amount of the charging process corresponding to the charging data is smaller than a preset charging amount threshold; the charging data has a second stage, the duration time of the second stage is longer than the first preset duration threshold and is less than or equal to a second preset duration threshold, and the current of the second stage is less than a preset current threshold; the total power of the charging data is smaller than a first preset power threshold value, and the average power is smaller than a second preset power threshold value;
and the judging module is used for judging that the battery of the electric vehicle is aged if the charging data meets the preset condition.
7. The apparatus of claim 6, wherein the identification module is specifically configured to:
judging whether the charging time of the charging data is less than or equal to the charging time threshold;
if the charging time is less than or equal to the charging time threshold, judging that the charging data meets the preset condition;
if the charging duration is greater than the charging duration threshold, respectively judging whether the oscillation quantity of the charging data is greater than or equal to the oscillation quantity threshold and whether the average voltage of the charging data is less than the preset threshold;
if the oscillation quantity is greater than or equal to the oscillation quantity threshold value and the average voltage is less than the preset threshold value, judging that the charging data meets the preset condition;
if the oscillation quantity is smaller than the oscillation quantity threshold and/or the average voltage is larger than or equal to the preset threshold, respectively judging whether the charging data has a second stage, whether the duration time of the second stage is larger than or equal to the first preset duration threshold, whether the starting time point of the second stage is smaller than the preset time point and whether the total charging amount of the charging process corresponding to the charging data is smaller than the preset charging amount threshold;
if the charging data has a second stage, the duration of the second stage is greater than or equal to the first preset duration threshold, the starting time point of the second stage is less than the preset time point, and the total charging amount of the charging process corresponding to the charging data is less than the preset charging amount threshold, determining that the charging data meets the preset condition;
when at least one of the charging data does not have a second stage, the duration of the second stage is less than the first preset time threshold, the starting time point of the second stage is greater than or equal to the preset time point, or the total charging amount of the charging process corresponding to the charging data is greater than or equal to the preset charging amount threshold exists, whether the charging data has the second stage, whether the duration of the second stage is greater than the first preset time threshold and less than or equal to the second preset time threshold, and whether the current of the charging data is less than a preset current threshold are respectively judged;
if the charging data has a second stage, the duration of the second stage is greater than the first preset time threshold and less than or equal to the second preset time threshold, and the current of the charging data is less than a preset current threshold, determining that the charging data meets the preset condition;
when at least one of the charging data does not have a second phase, the duration of the second phase is less than or equal to a first preset time threshold or is greater than or equal to a second preset time threshold, and the current of the charging data is greater than or equal to a preset current threshold exists, whether the total power of the charging data is less than a first preset power threshold and whether the average power is less than a second preset power threshold is respectively judged;
if the total power of the charging data is smaller than the first preset power threshold and the average power is smaller than the second preset power threshold, determining that the charging data meets the preset condition;
and if the total power of the charging data is greater than or equal to the first preset power threshold value and/or the average power is greater than or equal to the second preset power threshold value, determining that the charging data does not meet the preset condition.
8. The apparatus of claim 6 or 7, further comprising:
the generating module is used for generating prompt information and/or suggestion information of battery aging;
and the prompting module is used for sending the prompting information and/or the suggestion information to terminal equipment of a user of the electric vehicle so as to instruct the terminal equipment to present the prompting information and/or the suggestion information to the user of the electric vehicle.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 5.
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| CN110098437A (en) * | 2019-05-10 | 2019-08-06 | 天津科技大学 | A kind of new-energy automobile power battery aging analysis system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115495900A (en) * | 2022-09-19 | 2022-12-20 | 广州汽车集团股份有限公司 | Whole vehicle storage battery aging analysis method and device and storage medium |
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