CN113997805B - Charging control method and system for new energy automobile, vehicle-mounted terminal and medium - Google Patents

Charging control method and system for new energy automobile, vehicle-mounted terminal and medium Download PDF

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Publication number
CN113997805B
CN113997805B CN202111369330.4A CN202111369330A CN113997805B CN 113997805 B CN113997805 B CN 113997805B CN 202111369330 A CN202111369330 A CN 202111369330A CN 113997805 B CN113997805 B CN 113997805B
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charging
user
data
vehicle
daily
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CN113997805A (en
Inventor
王文伟
魏波
陈填
潘明锐
陈远
黄成凯
杨逢江
杨鑫畅
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Shenzhen Automotive Research Institute of Beijing University of Technology
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Shenzhen Automotive Research Institute of Beijing University of Technology
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/10Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles characterised by the energy transfer between the charging station and the vehicle
    • B60L53/14Conductive energy transfer
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/68Off-site monitoring or control, e.g. remote control
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/12Electric charging stations
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/14Plug-in electric vehicles
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/16Information or communication technologies improving the operation of electric vehicles

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The charging control method comprises the steps of obtaining battery data, performing data cleaning on the battery data, determining the validity of the data in the battery data, and therefore keeping the valid battery data; determining that a vehicle is connected with a charging pile, and acquiring charging pile information, vehicle information and daily settings of a user; determining at least one charging curve matched with the daily setting of the user according to the battery data, the charging pile information, the vehicle information and the daily setting of the user; and acquiring a charging curve selected by a user, and charging the battery according to the charging curve. Therefore, by acquiring various data of the vehicle, a charging curve suitable for the current vehicle needs is comprehensively obtained, the requirements of users are met, and the service life of the battery is prolonged.

Description

Charging control method and system for new energy automobile, vehicle-mounted terminal and medium
Technical Field
The invention relates to the technical field of new energy automobile charging, in particular to a charging control method and system of a new energy automobile, a vehicle-mounted terminal and a medium.
Background
In the current field of charging, the main problems to be solved include safety and high efficiency, the interactive function of charging the power battery is single at present, and the charging time is long. In order to correctly grasp the compatibility of safety and high efficiency, the actual use conditions of various vehicles and unreasonable charging modes must be considered, the use efficiency of energy is inevitably affected, the whole vehicle cannot completely run in the safest use range of electric quantity, and the service life of a battery is further reduced.
In the prior art, a charging curve obtained based on initial battery characteristics is built in when leaving a factory, namely, current battery information such as initial temperature, voltage and electric quantity SOC (State of Charge) is obtained, and a current maximum charging current value is obtained comprehensively, wherein the value is mainly obtained through a three-dimensional table look-up mode.
At present, a charging strategy on an electric vehicle is built in a controller when leaving a factory, and later modification can be performed only by carrying out manual configuration through OTA (Over-the-Air Technology) or going to a service end. This results in the vehicle's charging strategy remaining substantially consistent throughout its life cycle, which can affect its battery life, resulting in reduced user satisfaction.
Disclosure of Invention
The invention mainly solves the technical problems that the existing new energy automobile has a single charging method and cannot meet the actual charging requirement of a user.
According to a first aspect, in one embodiment, a method for controlling charging of a new energy automobile is provided, including:
a data acquisition step of acquiring battery data;
A data cleaning step, namely performing data cleaning on the battery data to determine the validity of the data in the battery data, thereby retaining the valid battery data;
A charging connection step, namely determining that the vehicle is connected with a charging pile, and acquiring charging pile information, vehicle information and daily setting of a user;
A curve acquisition step, namely determining at least one charging curve matched with daily settings of a user according to battery data, charging pile information, vehicle information and daily settings of the user;
and a charging step, acquiring a charging curve selected by a user, and charging the battery according to the charging curve.
According to a second aspect, in one embodiment, a charging control system for a new energy automobile is provided, including a server side and a vehicle-mounted terminal;
The vehicle-mounted terminal is used for acquiring battery data and sending the battery data to the server, acquiring vehicle information and daily setting of a user and sending the vehicle information and daily setting of the user to the server; determining that a vehicle is connected with a charging pile, acquiring charging pile information, and sending the charging pile information to a server side; acquiring a charging curve selected by a user, and charging the battery according to the charging curve selected by the user;
The server side is used for acquiring battery data; performing data cleaning on the battery data to determine the validity of the data in the battery data, thereby retaining the valid battery data; acquiring charging pile information, vehicle information and daily settings of a user; determining at least one charging curve matched with the daily setting of the user according to the battery data, the charging pile information, the vehicle information and the daily setting of the user; and sending the charging curve to the vehicle-mounted terminal.
According to a third aspect, in one embodiment, there is provided a vehicle-mounted terminal, including:
The collecting module is used for collecting battery data, collecting vehicle information and collecting charging pile information;
the communication module is used for sending the battery data, the vehicle information and the charging pile information to the server side; receiving daily user settings sent by a server or a mobile terminal; receiving a charging curve sent by a server or a mobile terminal;
The setting module is used for acquiring daily settings of a user and setting the vehicle according to the daily settings of the user;
And the control module is used for acquiring a charging curve selected by a user and controlling a charging device of the vehicle to charge the battery according to the charging curve.
According to a fourth aspect, an embodiment provides a computer readable storage medium having a program stored thereon, the program being executable by a processor to implement the charge control method according to the first aspect.
According to the charging control method, the charging control system, the vehicle-mounted terminal and the medium of the new energy automobile, the charging control method comprises the steps of obtaining battery data, performing data cleaning on the battery data, determining the validity of the data in the battery data, and therefore keeping the valid battery data; determining that a vehicle is connected with a charging pile, and acquiring charging pile information, vehicle information and daily settings of a user; determining at least one charging curve matched with the daily setting of the user according to the battery data, the charging pile information, the vehicle information and the daily setting of the user; and acquiring a charging curve selected by a user, and charging the battery according to the charging curve. Therefore, by acquiring various data of the vehicle, a charging curve suitable for the current vehicle needs is comprehensively obtained, the requirements of users are met, and the service life of the battery is prolonged.
Drawings
Fig. 1 is a schematic structural diagram of a charging control system of a new energy automobile according to an embodiment;
fig. 2 is a schematic structural diagram of a vehicle-mounted terminal according to an embodiment;
Fig. 3 is a flowchart of a charging control method of a new energy automobile according to an embodiment;
Fig. 4 is a schematic diagram of a charging curve according to an embodiment.
Reference numerals: 1-a vehicle-mounted terminal; 101-an acquisition module; 102-a communication module; 103-setting up a module; 104-a control module; 2-a server side; 3-a mobile terminal; 4-charging pile.
Detailed Description
The application will be described in further detail below with reference to the drawings by means of specific embodiments. Wherein like elements in different embodiments are numbered alike in association. In the following embodiments, numerous specific details are set forth in order to provide a better understanding of the present application. However, one skilled in the art will readily recognize that some of the features may be omitted, or replaced by other elements, materials, or methods in different situations. In some instances, related operations of the present application have not been shown or described in the specification in order to avoid obscuring the core portions of the present application, and may be unnecessary to persons skilled in the art from a detailed description of the related operations, which may be presented in the description and general knowledge of one skilled in the art.
Furthermore, the described features, operations, or characteristics of the description may be combined in any suitable manner in various embodiments. Also, various steps or acts in the method descriptions may be interchanged or modified in a manner apparent to those of ordinary skill in the art. Thus, the various orders in the description and drawings are for clarity of description of only certain embodiments, and are not meant to be required orders unless otherwise indicated.
The numbering of the components itself, e.g. "first", "second", etc., is used herein merely to distinguish between the described objects and does not have any sequential or technical meaning. The term "coupled" as used herein includes both direct and indirect coupling (coupling), unless otherwise indicated.
The charging curve acquisition modes in the prior art are all estimated in an off-line mode, which means that the related algorithm is determined when the vehicle leaves the factory, and the charging curve acquisition modes are all calculated in an off-line estimation mode in the subsequent whole vehicle operation process. The current automobile running working conditions are complex and various, various testing and calibration works are needed to meet the rationality of the residual charging time estimation algorithm in factory, so that on one hand, the development period is prolonged, and on the other hand, the complexity of the part of algorithms is also caused.
Meanwhile, because a built-in algorithm is adopted, a user does not have controllability on charging in the whole life cycle of the vehicle, if the algorithm does not have enough capacity reservation, unreasonable charging can cause the service life of a battery to be influenced, and service life attenuation is more serious in the later running of the vehicle.
Secondly, the storage space of the vehicle hardware and the calculation power (namely the calculation capability of the vehicle-mounted chip) determine that the off-line algorithm can not be built-in by using a very complex algorithm, otherwise, the whole vehicle-mounted terminal 1 of the vehicle is expensive, and the hardware to be configured is correspondingly required to be upgraded. .
Finally, dynamic charging adjustment cannot be performed according to the thought of the user and the actual running situation, and the user may select a method for damaging the service life of the battery for a long time due to the unintelligible battery characteristics and cannot perform battery service life maintenance, so that the user has poor use experience and has adverse effects on the evaluation of the vehicle enterprise.
The application aims to provide a charging control method, a system, a vehicle-mounted terminal and a medium for a new energy automobile, which are used for processing battery data by utilizing big data and arranging a main algorithm in cloud big data (server side) equipment. The application can ensure the simplicity of the algorithm carried by the vehicle-mounted terminal of the automobile and reduce the corresponding storage space; on the other hand, the charging algorithm of the automobile can be adjusted in real time by perfecting the algorithm of cloud big data and by means of monitoring the past data of the automobile, and the whole automobile end algorithm is not required to be changed, so that the service cost is reduced. Finally, the charging strategy which is most suitable for the user can be obtained through interaction with different user groups.
In the present application, the battery data may include, but is not limited to, the following battery-related data: the current per charge-discharge cycle, the temperature change of the battery during charging, the current accumulated charge-discharge capacity of the battery, the change in the total capacity of the battery, the state of health of the battery, fault information of the battery, and the power charged. The above battery data are transmitted to the server side through the network, that is, are acquired by the large data platform.
In the present application, the vehicle information of the vehicle may include, but is not limited to, the following related data: initial charging data (such as the electric quantity and voltage of the current battery), indoor and outdoor temperature information (such as the current temperature inside and outside the vehicle), and in-vehicle electric equipment information (such as power).
In the present application, after the vehicle is connected with the charging pile, the relevant information of the charging pile may be obtained, and the charging pile information may include, but is not limited to: charging power (such as maximum voltage and maximum current), charging efficiency (i.e., the ratio of charging power to battery power when charging), ac/dc information, whether fast charging is supported, and the like.
In the present application, the charging profile may include, but is not limited to, the following data: cut-off charge quantity, predicted charge time, predicted charge current, and battery temperature regulation curve.
In the application, the daily setting of the user refers to the setting of the charging mode and the driving mode by the user, wherein the charging module reflects the charging speed, and correspondingly has the charging speed and the charging speed, namely, the charging is carried out under the maximum charging voltage/current allowed by the battery, at the moment, the battery is in high-load charging, the service life is influenced to a certain extent, the influence of the charging speed is small, and the long-term use of the battery is facilitated. The driving mode is used for reflecting the daily driving requirement of the user, and can be divided into long distance and short distance, and the long distance and the short distance respectively correspond to the electric quantity requirement of the user on the daily driving.
Example 1
As shown in fig. 1, the present embodiment provides a charging control system for a new energy automobile, which includes a server 2 and a vehicle-mounted terminal 1, where when a charging port of a vehicle is connected with a charging pile 4, the vehicle-mounted terminal 1 is connected with the charging pile 4.
The vehicle-mounted terminal 1 is used for acquiring battery data and sending the battery data to the server 2, acquiring vehicle information and daily setting of a user and sending the vehicle information and daily setting of the user to the server 2; determining that the vehicle is connected with the charging pile 4, acquiring charging pile information, and sending the charging pile information to the server side 2; and acquiring a charging curve selected by the user, and charging the battery according to the charging curve selected by the user.
The in-vehicle terminal 1 collects various data of the battery and the vehicle, transmits the data to the server side 2 through a wired network or a wireless network, and acquires the data transmitted by the server side 2. Existing automobiles (including but not limited to electric vehicles) are typically equipped with TBOX terminals for communication. In the present application, the vehicle-mounted terminal 1 includes, but is not limited to, adopting communication modes such as TBOX, wifi, 4/5G, etc., to implement data interaction with the server side 2 (also referred to as a big data platform).
The server side 2 is used for acquiring battery data; performing data cleaning on the battery data to determine the validity of the data in the battery data, thereby retaining the valid battery data; acquiring charging pile information, vehicle information and daily settings of a user; determining at least one charging curve matched with the daily setting of the user according to the battery data, the charging pile information, the vehicle information and the daily setting of the user; the charging curve is transmitted to the in-vehicle terminal 1.
Strictly speaking, the server side 2 may be one or more terminals with computing capabilities, and uses a processor to perform computing, such as a computer, a mobile phone, etc., but based on the current state of the art, a plurality of computers are generally required to form a big data platform to perform data computing, so as to reduce the limitation of computing capabilities. That is, the server 2 is preferably big data and cloud, and after the technology level is improved, the computing capability of the vehicle-mounted terminal 1 is improved, and the vehicle-mounted terminal 1 can also implement the functions of the server 2, and the vehicle may include a common central control system and a system responsible for the computing of the server 2. However, in the present day, the function of the server side 2 is implemented by using a large data platform, which is the easiest way to implement.
Therefore, the data provided by the vehicle-mounted terminal 1 is calculated by adopting big data (cloud), the most suitable charging curve can be provided under the current charging working condition, and a user can autonomously select a desired charging curve so as to meet the requirements of the user, and the service life of the battery is prolonged.
In a possible implementation manner, the above charging control system may further include a mobile terminal 3, where the mobile terminal 3 is connected to the vehicle terminal 1 and the server 2, respectively. The server side 2 is also configured to send the charging profile to the mobile terminal 3.
The mobile terminal 3 is used for acquiring daily settings of a user and sending the daily settings to the vehicle-mounted terminal 1; the receiving server side 2 sends a charging curve; the charging curve selected by the user is acquired and sent to the in-vehicle terminal 1. In the conventional charging operation, the user needs to get off to perform the charging gun operation, and is inconvenient to operate on the vehicle-mounted terminal 1, so that the operation of separating the person from the vehicle can be realized through the mobile terminal 3, wherein the mobile terminal 3 can be an operable device such as a mobile phone, a computer, a tablet, an automobile diagnostic instrument and the like, and is used for a charging curve obtained by the operation of the real server 2, and the user can select a proper charging curve through the mobile terminal 3 and transmit the related information of the charging curve to the vehicle-mounted terminal 1. Meanwhile, the user can also make daily settings through the mobile terminal 3. The mobile terminal 3 and the vehicle-mounted terminal 1 can communicate through a mobile network, a WiFi module or a Bluetooth module.
As shown in fig. 2, the present embodiment further provides a vehicle-mounted terminal 1, including:
The acquisition module 101 is used for acquiring battery data, vehicle information and charging pile information. The collection module 101 is used for being connected with a management system (BMS) of the battery, collecting battery data, and the collection module 101 can further comprise various sensors for collecting vehicle information, and can be devices including a temperature sensor, a current sensor, a voltage sensor and the like. It can also be used to obtain charging pile information when the vehicle is connected with the charging pile 4.
The communication module 102 is configured to send battery data, vehicle information, and charging pile information to the server 2; receiving daily user settings sent by a server side 2 or a mobile terminal 3; the charging profile sent by the server side 2 or the mobile terminal 3 is received. The communication module may adopt a TBOX or radio frequency communication module or a WiFi communication module, so as to implement the data transmission to the server 2.
The setting module 103 is configured to obtain a daily setting of a user, and set the vehicle according to the daily setting of the user. The daily setting may be set through a central control panel of the vehicle, and the user may also transmit related operation information through the mobile terminal 3 to achieve the daily setting.
The control module 104 is configured to obtain a charging curve selected by a user, and control a charging device of the vehicle to charge the battery according to the charging curve. The processor or controller of the control module 104 may also be used to control the operation of the above modules, which may also be provided with a separate processor or controller.
Each of the above modules may be a plurality of functional modules implemented by the same processor, or may be implemented by separate processors.
By adopting the vehicle-mounted terminal 1, the function requirement in the charging control system can be met, the data of the vehicle is transmitted to the big data platform, and the charging curve provided by the big data platform is acquired, so that the charging requirement is met.
Example two
As shown in fig. 3, the present embodiment provides a charging control method for a new energy automobile. The following describes in detail a charging control system and a vehicle-mounted terminal 1 according to the first embodiment, wherein the charging control system includes:
And a data acquisition step, acquiring battery data.
Specifically, the in-vehicle terminal 1 acquires battery data through the acquisition module 101, and transmits the battery data to the server side 2 through the communication module 102, whereby the server side 2 acquires the battery data at a time.
And a data cleaning step, namely performing data cleaning on the battery data to determine the validity of the data in the battery data, thereby retaining the valid battery data.
Specifically, the large data platform (i.e., the server side 2) needs to clean the battery data to achieve accurate calculations. The big data platform has a data cleaning function to remove abnormal or lost data.
In this embodiment, the following cleaning rule may be adopted:
And (5) vacant assignment: in this embodiment, interpolation assignment is mainly performed by using an average value or an adjacent characteristic value in a period of time before and after the missing of the variable.
Error value removal: when the variable value transmitted to the cloud big data platform exceeds or is smaller than the data with the specific threshold value, the data is corrected, and if the variable value does not meet the set correction rule, the data is deleted.
Cross-checking: and (3) carrying out mutual logic comparison on the acquired battery data, if the data which are unreasonable or contradictory in logic are deleted or corrected, as an example of cross check, if no battery cell voltage fault information occurs at the whole vehicle end and an abnormal condition exists in certain cell voltage data transmitted to cloud big data, removing the cell voltage and then carrying out subsequent processing.
Meanwhile, counting the proportion of data cleaning on a cloud big data platform, recording a data cleaning proportion value, and when the data cleaning proportion value is smaller than a first data cleaning proportion value, such as 2%, assuming that the counted data in the period of time is valid, wherein the confidence or validity of the data in the period of the cloud big data is 100%; when the data cleaning proportion value is more than or equal to the first data cleaning proportion value, such as 2%, the confidence or effectiveness of the data of the large cloud data segment is 0%. It should be clear that the 2-segment interval is used in this embodiment, and as an option, the interval may be adjusted after matching according to the actual application.
And a charging connection step, namely determining that the vehicle is connected with the charging pile 4, and acquiring charging pile information, vehicle information and daily settings of a user.
Specifically, after the vehicle-mounted terminal 1 determines that the vehicle is connected with the charging pile 4, the charging pile information and the vehicle information are acquired through the acquisition module 101, the daily setting of the user is acquired through the setting module 103, then the data are sent to the server side 2 through the communication module 102, and the server side 2 acquires the data.
And a curve acquisition step, namely determining at least one charging curve matched with the daily setting of the user according to the battery data, the charging pile information, the vehicle information and the daily setting of the user.
The big data platform (server end 2) obtains a charging curve meeting the user requirement by integrating battery data, charging pile information, vehicle information and daily user settings, and the charging curve can comprise a plurality of charging curves, each charging curve corresponds to one daily user setting, and the charging curve matched with the current daily user setting is preferentially provided.
In one possible implementation, the battery data includes at least historical charge and discharge data, the charging stake information includes at least charging stake power, and the vehicle information includes at least initial charging data.
The curve acquisition step may include:
step 51: and determining the charge cut-off electric quantity according to the historical charge and discharge data.
For example, the average value of the use depth of the historical charge and discharge and the average value of the use depth of the last N times of charge and discharge may be obtained according to the historical charge and discharge data, and the charge cut-off power may be determined according to the average value of the use depth of the historical charge and discharge, the average value of the use depth of the last N times of charge and discharge, and the preset reserved power. The preset reserved power may further include an error range, that is, a minimum preset reserved power and an error reserved power.
There are various specific algorithms, and the charge cutoff amount can be calculated by referring to the following formula:
D=a×20% +b×80% +c, where D is the charge cut-off amount, a is the average value of the use depths of the historic charge and discharge, B is the average value of the using depth of the last N times of charge and discharge, and C is the preset reserved electric quantity. Wherein the value range of D is limited to 0-100%.
As an example, for example, a is 50%, B is 70%, the error range is 8%, and the minimum reserved S charge amount is 10%, and the charge cut-off amount for daily use is d=20% ×50% +80% ×70% +8% +10% =84% can be obtained.
Step 52: and judging the charging working condition of the vehicle according to the charging pile power, the daily setting of the user and the historical charging and discharging data.
The large data platform acquires battery data of a plurality of vehicles at the same time, the batteries of the vehicles of the users have related data of the same type of batteries in the large data platform, and the related information about the charging piles 4 and the like is acquired when the same type of batteries are charged. The server side 2 judges the charging working condition of the vehicle through the current charging pile power, the daily setting of the user and the historical charging and discharging data.
Step 53: and acquiring the charging current matched with the charging working condition according to the charging working condition.
After calculating the charging curves of the batteries, the server side 2 can form a corresponding relation between the charging curves and corresponding charging conditions, and can obtain the matched charging current by judging the current charging conditions. The matching relationship can be obtained by a plurality of batteries of the same type, or can be edited at the server side 2, so that a proper charging current can be obtained according to the judged charging condition.
And analyzing the data of the same type of battery based on the big data platform to obtain an optimal charging current curve under similar working conditions. As one example, it is assumed that the battery capacity attenuation rate is the lowest at a statistically obtained charging rate of 0.3C (1C represents that the electric quantity is fully charged from 0% in 1 hour, and 0.3C is fully charged in 1/0.3 hour), that is, the maximum charging rate is ensured to be less than or equal to 0.3C in the intelligent charging mode.
Step 54: and obtaining at least one charging curve matched with the daily setting of the user according to the initial charging data, the charging current, the charging pile power and the charging cut-off electric quantity.
According to the charging curve, the relevant information such as the expected charging time, the expected charging current and the like can be obtained, and the user can know the relevant information. The charging profile may be presented to the user in the form of a visualization profile or a table.
In one possible implementation, the battery data may further include historical battery temperature change data, and the vehicle information further includes indoor and outdoor temperature information and in-vehicle electrical equipment information;
The step 54 may include:
and obtaining the temperature regulation energy consumption of the battery in the charging process according to the historical battery temperature change data and the indoor and outdoor temperature information.
And obtaining the charging efficiency according to the temperature regulation energy consumption and the information of the electric equipment in the vehicle.
And obtaining at least one charging curve matched with the daily setting of the user according to the charging efficiency, the initial charging data, the charging current, the charging pile power and the charging cut-off electric quantity.
In low temperature environment, battery charge and discharge all need be under suitable operating temperature, therefore, in battery charging's in-process, the battery needs to carry out temperature regulation and control, and server side 2 can obtain in charging time according to historical battery temperature change data and indoor outer temperature information, and the temperature regulation and control energy consumption that the battery needs, from this, combines in-vehicle consumer information, can obtain charging efficiency.
In one possible implementation, the daily settings of the user may include a driving mode setting and a charging mode setting, the driving mode is used for reflecting a driving distance selected by the user, the driving mode includes a long-distance driving mode and a short-distance driving mode, the charging module is used for reflecting a charging speed selected by the user, and the charging mode includes a fast charging mode and a slow charging mode; the user daily settings include a variety of user daily settings;
In the above step 54, determining at least one charging curve matching the daily settings of the user may include:
at least one matching charging profile is determined for each user daily setting.
As shown in fig. 4, the server 2 sends four selectable and matched charging curves to the vehicle-mounted terminal 1 or the mobile terminal 3, corresponding to four modes set by the user in daily life, namely, a long-distance running mode+a fast charging mode, a long-distance running mode+a slow charging mode, a short-distance running mode+a fast charging mode, a short-distance running mode+a slow charging mode.
Besides the charging curves, the charging information of the estimated four charging curves can be fed back to the user, and as an example, the following visual charging table can be seen:
and a charging step, acquiring a charging curve selected by a user, and charging the battery according to the charging curve.
Specifically, the user may perform a selection operation on the vehicle-mounted terminal 1, or perform a selection operation through the mobile terminal 3, and after determining a charging curve required for charging, the control module 104 of the vehicle-mounted terminal 1 performs charging by controlling a charging device of the vehicle, and controls the voltage and current of the charging according to the charging curve.
For example, after the server side 2 feeds back the charging curve to the user through the vehicle-mounted terminal 1 or the mobile terminal 3, the user may observe the relevant charging curve on the mobile device or the central control panel, and explicitly distinguish the charging curve selected by the user in the mobile device or the central control system. And analyzing daily use habits in combination with big data, and recommending one of the plurality of matched charging curves.
For another example, if there is one long mileage running (e.g., the depth of discharge (power consumption) reaches 80% after charging and then charging is performed next time) in the last 5 charge-discharge cycles of the user, the recommended running mode is long mileage running, otherwise, the daily mode is recommended; if the user has one charge in the last 5 charge-discharge cycles, running is performed in a short time (for example, starting the vehicle to run within 30min after the charge is finished), namely, a quick charge mode is recommended, otherwise, an intelligent charge mode is recommended. In combination with the above analysis, a recommended charging profile may be obtained for user selection.
For example, the user may select a charging profile through the mobile device or the in-vehicle terminal 1, and if reselection is not performed, the charging profile that has been previously selected is maintained. In the charging process, the user can also select a charging curve according to actual requirements. If the ending condition of one of the curves is reached, the curve cannot be selected, for example, the cut-off SOC of the intelligent charging is 80%, and when the SOC of the current charging is higher than 80%, the corresponding charging curve of the intelligent charging cannot be selected any more, but at this time, the user terminal can still stop charging through the mobile device or the vehicle-mounted terminal 1.
After determining the charging curve, the control module 104 performs intelligent charging according to the charging curve newly selected by the user, and controls the charging parameter to approach the charging curve. The charging information is dynamically adjusted, such as charging mode (constant-current charging, constant-voltage charging), requested charging current (requested charging current is adjusted upwards when actual charging current is smaller than requested charging current, requested charging current is adjusted downwards when actual charging current is larger than requested charging current).
By adopting the charging control method, data acquisition and analysis are carried out based on the big data platform (the server end 2), a proper charging curve is provided for a user, and the user can autonomously select a required charging curve through the vehicle-mounted terminal 1 or the mobile terminal 3, so that the requirements of the user are met, and the service life of a battery is prolonged.
Those skilled in the art will appreciate that all or part of the functions of the various methods in the above embodiments may be implemented by hardware, or may be implemented by a computer program. When all or part of the functions in the above embodiments are implemented by means of a computer program, the program may be stored in a computer readable storage medium, and the storage medium may include: read-only memory, random access memory, magnetic disk, optical disk, hard disk, etc., and the program is executed by a computer to realize the above-mentioned functions. For example, the program is stored in the memory of the device, and when the program in the memory is executed by the processor, all or part of the functions described above can be realized. In addition, when all or part of the functions in the above embodiments are implemented by means of a computer program, the program may be stored in a storage medium such as a server, another computer, a magnetic disk, an optical disk, a flash disk, or a removable hard disk, and the program in the above embodiments may be implemented by downloading or copying the program into a memory of a local device or updating a version of a system of the local device, and when the program in the memory is executed by a processor.
The foregoing description of the invention has been presented for purposes of illustration and description, and is not intended to be limiting. Several simple deductions, modifications or substitutions may also be made by a person skilled in the art to which the invention pertains, based on the idea of the invention.

Claims (10)

1. The charging control method of the new energy automobile is characterized by comprising the following steps of:
a data acquisition step, wherein a vehicle-mounted terminal acquires battery data and sends the battery data to a server; the battery data at least comprises historical charge and discharge data;
a data cleaning step, wherein the server side performs data cleaning on the battery data to determine the validity of the data in the battery data, so that the valid battery data is reserved;
A charging connection step, wherein the vehicle-mounted terminal determines that a vehicle is connected with a charging pile, acquires charging pile information, vehicle information and daily setting of a user, and sends the charging pile information, the vehicle information and the daily setting of the user to the server, wherein the vehicle information comprises initial charging data; the user daily setting comprises a running mode setting and a charging mode setting, wherein the running mode is used for reflecting the running distance selected by the user, the running mode comprises a long-distance running mode and a short-distance running mode, the charging mode is used for reflecting the charging speed selected by the user, and the charging mode comprises a fast charging mode and a slow charging mode; the user daily settings include a plurality of user daily settings;
A curve acquisition step, wherein the server determines a plurality of charging curves matched with the daily user settings according to the historical charging and discharging data, the charging pile information, the initial charging data and the daily user settings, and each charging curve corresponds to one daily user setting; the server side sends the charging curve to the vehicle-mounted terminal; the charging information of the charging curve comprises at least one of cut-off charging quantity, predicted charging time and predicted charging current;
and a charging step, wherein the vehicle-mounted terminal acquires the charging curve selected by the user, and controls a charging device of the vehicle to charge the battery according to the charging curve.
2. The charge control method according to claim 1, wherein the charging pile information includes charging pile power;
the curve acquisition step comprises the following steps:
Determining the charge cut-off electric quantity according to the historical charge and discharge data;
judging the charging working condition of the vehicle according to the charging pile power, the daily setting of the user and the historical charging and discharging data;
acquiring charging current matched with a charging working condition according to the charging working condition;
And obtaining at least one charging curve matched with the daily setting of the user according to the initial charging data, the charging current, the charging pile power and the charging cut-off electric quantity.
3. The charge control method according to claim 2, wherein the determining a charge cutoff amount based on the historical charge-discharge data includes:
And determining the charge cut-off electric quantity according to the average value of the historical charge and discharge use depths, the average value of the latest N charge and discharge use depths and the preset reserved electric quantity, wherein N is a positive integer.
4. The charge control method according to claim 3, wherein the charge cutoff amount is obtained according to the following formula:
D=a×20% +b×80% +c, where D is the charge cutoff amount, a is an average value of the use depths of the historic charge and discharge, B is the average value of the using depth of the last N times of charge and discharge, and C is the preset reserved electric quantity.
5. The charge control method of claim 2, wherein said determining at least one charge profile matching said user daily settings comprises:
and determining at least one matched charging curve corresponding to each daily setting of the user.
6. The charge control method according to claim 2, wherein the battery data further includes historical battery temperature change data, and the vehicle information further includes indoor and outdoor temperature information and in-vehicle electric equipment information;
according to the initial charging data, the charging current, the charging pile power and the charging cut-off electric quantity, at least one charging curve matched with the daily setting of the user is obtained, and the method comprises the following steps:
According to the historical battery temperature change data and indoor and outdoor temperature information, obtaining the temperature regulation energy consumption of the battery in the charging process;
according to the temperature regulation energy consumption, indoor and outdoor temperature information and the information of the electric equipment in the vehicle, charging efficiency is obtained;
And obtaining at least one charging curve matched with the daily setting of the user according to the charging efficiency, the initial charging data, the charging current, the charging pile power and the charging cut-off electric quantity.
7. The charging control system of the new energy automobile is characterized by comprising a server side and a vehicle-mounted terminal;
The vehicle-mounted terminal is used for acquiring battery data and sending the battery data to the server; determining that the vehicle is connected with the charging pile, acquiring charging pile information, vehicle information and daily settings of a user, and sending the charging pile information, the vehicle information and the daily settings of the user to the server; acquiring a charging curve selected by a user, and controlling a charging device of a vehicle to charge the battery according to the charging curve selected by the user; the battery data at least comprises historical charge and discharge data, the daily settings of the user comprise running mode settings and charging mode settings, the running modes are used for reflecting the running distance selected by the user, the running modes comprise long-distance running modes and short-distance running modes, the charging modes are used for reflecting the charging speed selected by the user, and the charging modes comprise a fast charging mode and a slow charging mode; the user daily settings include a plurality of user daily settings;
The server side is used for acquiring the battery data; performing data cleaning on the battery data to determine the validity of the data in the battery data, thereby retaining the valid battery data; acquiring charging pile information, vehicle information and daily user settings, wherein the vehicle information comprises initial charging data; determining a plurality of charging curves matched with the daily user settings according to the historical charging and discharging data, the charging pile information, the initial charging data and the daily user settings, wherein each charging curve corresponds to one daily user setting; transmitting the charging curve to the vehicle-mounted terminal; the charging information of the charging curve includes at least one of a cut-off charge amount, an estimated charging time, and an estimated charging current.
8. The charge control system of claim 7, further comprising a mobile terminal connected to the vehicle terminal and a server, respectively;
The server side is also used for sending the charging curve to the mobile terminal;
The mobile terminal is used for acquiring daily settings of a user and sending the daily settings to the vehicle-mounted terminal; receiving the charging curve sent by the server side; and acquiring the charging curve selected by the user and sending the charging curve to the vehicle-mounted terminal.
9. A vehicle-mounted terminal, characterized by comprising:
The acquisition module is used for acquiring battery data; determining that a vehicle is connected with a charging pile, collecting vehicle information, and collecting charging pile information; the battery data at least comprises historical charge and discharge data, and the vehicle information comprises initial charge data;
The communication module is used for acquiring the battery data, the vehicle information, the charging pile information and the daily setting of a user and sending the daily setting to the server side; receiving daily user settings sent by a mobile terminal; receiving a charging curve sent by a server or a mobile terminal; the charging curves comprise a plurality of charging curves, and each charging curve corresponds to one user daily setting; the server obtains the charging curve according to the historical charging and discharging data, charging pile information, initial charging data and daily setting of a user; the charging curve is sent to the vehicle-mounted terminal or the mobile terminal by the server;
The setting module is used for acquiring daily settings of a user and setting the vehicle according to the daily settings of the user; the user daily setting comprises a running mode setting and a charging mode setting, wherein the running mode is used for reflecting the running distance selected by the user, the running mode comprises a long-distance running mode and a short-distance running mode, the charging mode is used for reflecting the charging speed selected by the user, and the charging mode comprises a fast charging mode and a slow charging mode; the user daily settings include a plurality of user daily settings;
the control module is used for acquiring a charging curve selected by a user through the vehicle-mounted terminal or the mobile terminal and controlling a charging device of the vehicle to charge a battery according to the charging curve; the charging information of the charging curve includes at least one of a cut-off charge amount, an estimated charging time, and an estimated charging current.
10. A computer-readable storage medium, characterized in that the medium has stored thereon a program executable by a processor to implement the charge control method according to any one of claims 1 to 6.
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