CN115471093A - Method and device for determining schedulable charging and discharging capacity of electric vehicle charging station - Google Patents

Method and device for determining schedulable charging and discharging capacity of electric vehicle charging station Download PDF

Info

Publication number
CN115471093A
CN115471093A CN202211158175.6A CN202211158175A CN115471093A CN 115471093 A CN115471093 A CN 115471093A CN 202211158175 A CN202211158175 A CN 202211158175A CN 115471093 A CN115471093 A CN 115471093A
Authority
CN
China
Prior art keywords
electric vehicles
charging
schedulable
capacity
electric
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211158175.6A
Other languages
Chinese (zh)
Inventor
袁小溪
李香龙
周文斌
王立永
孙舟
陈振
李卓群
刘祥璐
钱梓锋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
State Grid Beijing Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
State Grid Beijing Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, State Grid Beijing Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN202211158175.6A priority Critical patent/CN115471093A/en
Publication of CN115471093A publication Critical patent/CN115471093A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • 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
    • B60L53/63—Monitoring or controlling charging stations in response to network capacity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • 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
    • 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
    • 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

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Quality & Reliability (AREA)
  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Educational Administration (AREA)
  • General Health & Medical Sciences (AREA)
  • Mechanical Engineering (AREA)
  • Transportation (AREA)
  • Power Engineering (AREA)
  • Primary Health Care (AREA)
  • Water Supply & Treatment (AREA)
  • Public Health (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a method and a device for determining schedulable charging and discharging capacities of an electric vehicle charging station. The method comprises the following steps: determining a plurality of electric vehicles accessed to a target charging station; acquiring charging required electric quantity corresponding to each of the plurality of electric vehicles, and acquiring the uncharged time length of each of the plurality of electric vehicles when the plurality of electric vehicles are connected to a power grid within a preset time period, wherein the power grid comprises a power grid for charging the plurality of electric vehicles through the target charging station; and determining the schedulable charging capacity of the target charging station according to the charging demand electric quantity respectively corresponding to the plurality of electric vehicles and the duration of the plurality of electric vehicles which are respectively connected to the power grid and are not charged in the preset time period. The invention solves the technical problem that the schedulable charging capacity of the charging station is difficult to calculate in the related art.

Description

Method and device for determining schedulable charging and discharging capacity of electric vehicle charging station
Technical Field
The invention relates to the field of power systems, in particular to a method and a device for determining schedulable charging and discharging capacities of an electric vehicle charging station.
Background
The charging and discharging power at a certain moment in the station can be scheduled and controlled by taking the electric vehicle charging station as a unit. When the charging and discharging power of the electric vehicle charging station is scheduled, the schedulable charging capacity of the charging station needs to be obtained. In the related art, it is generally required to calculate the schedulable charging capacity of the charging station by acquiring parameters such as an initial SOC (State of Charge, a State of Charge of the battery, a remaining capacity representing a remaining capacity of the battery, a ratio of the remaining capacity to a total capacity), a desired SOC, and the like of the electric vehicle, and in practical applications, these parameters are difficult to acquire, resulting in difficulty in calculating the schedulable charging capacity of the charging station. That is, in the related art, there is a technical problem that it is difficult to determine the schedulable charging capacity of the charging station.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining schedulable charging and discharging capacity of an electric vehicle charging station, which at least solve the technical problem that the schedulable charging capacity of the charging station is difficult to calculate in the related technology.
According to an aspect of the embodiment of the invention, a method for determining schedulable charge-discharge capacity of an electric vehicle charging station is provided, which includes: determining a plurality of electric vehicles accessed to a target charging station; acquiring charging required electric quantity corresponding to each of the plurality of electric vehicles, and acquiring the uncharged time length of each of the plurality of electric vehicles when the plurality of electric vehicles are connected to a power grid within a preset time period, wherein the power grid comprises a power grid for charging the plurality of electric vehicles through the target charging station; and determining the schedulable charging capacity of the target charging station according to the charging demand electric quantity corresponding to each electric vehicle and the duration of the plurality of electric vehicles which are connected to the power grid and are not charged in the preset time period.
Optionally, the obtaining the duration that the plurality of electric vehicles are respectively connected to the power grid within a predetermined time period and are not charged includes: acquiring the time length and the charging time length of the plurality of electric automobiles respectively accessing the power grid within the preset time period; and acquiring the duration that the plurality of electric vehicles are respectively connected into the power grid and are not charged in the preset time period according to the duration that the plurality of electric vehicles are respectively connected into the power grid in the preset time period and the charging duration.
Optionally, the determining the schedulable charging capacity of the target charging station according to the charging demand electric quantities respectively corresponding to the plurality of electric vehicles and the durations of the plurality of electric vehicles which are respectively connected to the power grid and are not charged in the preset time period includes: acquiring the number of the plurality of electric vehicles; respectively acquiring the ratio of the uncharged time length of the plurality of electric vehicles which are respectively accessed to the power grid in the preset time period to the time length of the preset time period; acquiring the time length ratio and the charging demand electric quantity of the corresponding electric automobile, and determining the schedulable charging capacities of the plurality of electric automobiles; and acquiring the sum of the schedulable charging capacities of the plurality of electric vehicles, and acquiring the schedulable charging capacity of the target charging station according to the sum of the schedulable charging capacities of the plurality of electric vehicles.
Optionally, comprising: determining a plurality of electric vehicles with discharge capacity accessed to a target charging station; acquiring available capacity and charging and discharging flexibility of vehicle-mounted batteries respectively corresponding to the plurality of electric vehicles with discharging capacity; determining schedulable discharge capacities corresponding to the plurality of electric vehicles with the discharge capacity according to the vehicle-mounted battery available capacity and the charge-discharge flexibility corresponding to the plurality of electric vehicles with the discharge capacity respectively; and determining the schedulable discharge capacity of the target charging station according to the schedulable discharge capacities corresponding to the electric vehicles with the discharge capacity respectively, wherein the target charging station has a discharge function.
Optionally, the obtaining available capacities of vehicle-mounted batteries respectively corresponding to the plurality of electric vehicles with discharging capabilities includes: acquiring vehicle-mounted power battery capacities corresponding to the plurality of electric vehicles with the discharging capacity respectively; and acquiring the available capacities of the vehicle-mounted batteries respectively corresponding to the electric automobiles with the discharging capacity according to the capacities of the vehicle-mounted power batteries respectively corresponding to the electric automobiles with the discharging capacity and the required charging electric quantity.
Optionally, the obtaining of the charging and discharging flexibility degrees respectively corresponding to the plurality of electric vehicles with the discharging capability includes: obtaining rated discharge power respectively corresponding to the plurality of electric automobiles with discharge capacity; and acquiring the charging and discharging flexibility corresponding to the electric vehicles with the discharging capability respectively according to the rated discharging power corresponding to the electric vehicles with the discharging capability respectively and the duration of the electric vehicles with the discharging capability which are connected to the power grid and are not charged in the preset time period respectively.
Optionally, the determining the schedulable discharge capacities of the target charging station according to the schedulable discharge capacities respectively corresponding to the plurality of electric vehicles with discharge capability includes: and acquiring the sum of the schedulable discharge capacities of the plurality of electric vehicles with the discharge capacity based on the schedulable discharge capacities corresponding to the plurality of electric vehicles with the discharge capacity respectively, and acquiring the discharge schedulable capacity of the target charging station according to the sum of the schedulable discharge capacities of the plurality of electric vehicles with the discharge capacity.
According to another aspect of the embodiments of the present invention, there is also provided a charge schedulable capacity determination apparatus, including: the device comprises a determining module, a judging module and a judging module, wherein the determining module is used for determining a plurality of electric vehicles accessed to a target charging station; the acquisition module is used for acquiring the charging demand electric quantity corresponding to each of the plurality of electric vehicles and acquiring the uncharged time length of each of the plurality of electric vehicles when the plurality of electric vehicles are connected to a power grid within a preset time period, wherein the power grid comprises a power grid for charging the plurality of electric vehicles through the target charging station; the determining module is used for determining the schedulable charging capacity of the target charging station according to the charging demand electric quantity respectively corresponding to the plurality of electric vehicles and the duration of the plurality of electric vehicles which are respectively connected to the power grid and are not charged in the preset time period.
According to another aspect of the embodiments of the present invention, there is also provided a device for determining schedulable capacity of charging and discharging of an electric vehicle charging station, including: the third determination module is used for determining a plurality of electric vehicles with discharging capacity accessed to the target charging station; the second acquisition module is used for acquiring the available capacity and the charging and discharging flexibility of the vehicle-mounted batteries respectively corresponding to the plurality of electric vehicles with the discharging capacity; a fourth determining module, configured to determine schedulable discharge capacities corresponding to the plurality of electric vehicles with discharge capabilities according to available capacities and charging and discharging flexibility of vehicle-mounted batteries corresponding to the plurality of electric vehicles with discharge capabilities, respectively; and the fifth determining module is used for determining the schedulable discharge capacities of the target charging station according to the schedulable discharge capacities corresponding to the electric vehicles with the discharge capacity respectively, wherein the target charging station has a discharge function.
According to another aspect of the embodiments of the present invention, there is also provided a non-volatile storage medium, where the storage medium includes a stored program, and when the program runs, a device on which the storage medium is located is controlled to execute the method described in any one of the above.
In the embodiment of the invention, by determining a plurality of electric vehicles accessed to a target charging station, charging demand electric quantities corresponding to the plurality of electric vehicles respectively are obtained, and the time lengths of the plurality of electric vehicles which are accessed to a power grid and are not charged in a preset time period are obtained, wherein the power grid comprises the power grid for charging the plurality of electric vehicles through the target charging station; the schedulable charging capacity of the target charging station is determined according to the charging demand electric quantity corresponding to each electric vehicle and the duration of the electric vehicles which are connected to the power grid and are not charged in the preset time period, and therefore the technical problem that the schedulable charging capacity of the charging station is difficult to determine in the related art is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention and do not constitute a limitation of the invention. In the drawings:
FIG. 1 is a flow chart of a method of schedulable charge and discharge capacity determination for an electric vehicle charging station in accordance with an embodiment of the present invention;
FIG. 2 is a flow chart of an alternative method of schedulable discharge capacity determination for an electric vehicle charging station in accordance with an embodiment of the present invention;
fig. 3 is a block diagram of an alternative schedulable discharge capacity determining device according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in other sequences than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present invention, there is provided an embodiment of a schedulable charge and discharge capacity determination method for an electric vehicle charging station, where the steps illustrated in the flowchart of the accompanying drawings may be executed in a computer system such as a set of computer executable instructions and where a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be executed in an order different than that illustrated or described herein.
Fig. 1 is a flowchart of a schedulable charge-discharge capacity determination method of an electric vehicle charging station according to an embodiment of the present invention, as shown in fig. 1, the method may include the following steps:
and step S102, determining a plurality of electric vehicles accessed to the target charging station.
In some optional embodiments, the target charging station is an electric vehicle charging station that can charge electric vehicles of multiple models, and the electric vehicle charging station includes a plurality of bidirectional charging poles.
Step S104, acquiring the charging demand electric quantity corresponding to each of the plurality of electric vehicles, and acquiring the duration of the plurality of electric vehicles which are connected to the power grid and are not charged within a preset time period, wherein the power grid comprises the power grid for charging the plurality of electric vehicles through the target charging station.
In some optional embodiments, the charging status of the electric vehicle after accessing the power grid includes multiple types, for example, one of the following may be included: the charging state is that the electric automobile is connected with the charging pile in the power grid and is in a charging state, and the state is that the electric automobile is connected with the charging pile in the power grid but is not in a charging state. Wherein, electric automobile can carry out wired connection through the rifle that charges with filling electric pile and link to each other, also can carry out wireless connection through wireless charging device.
And S106, determining the schedulable charging capacity of the target charging station according to the charging demand electric quantity corresponding to each electric vehicle and the uncharged time length of each electric vehicle which is connected to the power grid within the preset time period.
In this optional embodiment, by determining a plurality of electric vehicles accessed to a target charging station, charging demand electric quantities corresponding to the plurality of electric vehicles respectively are obtained, and durations when the plurality of electric vehicles are accessed to a power grid and are not charged respectively within a predetermined time period are obtained, wherein the power grid includes a power grid for charging the plurality of electric vehicles through the target charging station; and determining the schedulable charging capacity of the target charging station according to the charging demand electric quantity respectively corresponding to the plurality of electric vehicles and the uncharged time length of the plurality of electric vehicles respectively connected to the power grid within the preset time period. In the method of this optional embodiment, several parameters used for calculating the schedulable charging capacity of the target charging station are parameters that are convenient to obtain, and the schedulable charging capacity of the target charging station is calculated based on these parameters, thereby solving the technical problem that it is difficult to calculate the schedulable charging capacity of the charging station in the related art.
In some optional embodiments, the method for acquiring the uncharged time duration of the plurality of electric vehicles respectively connected to the power grid within the predetermined time period may include the following steps: acquiring the time length and the charging time length of a plurality of electric vehicles respectively accessing a power grid in a preset time period; according to the time length of the electric vehicles respectively accessing the power grid in the preset time period and the charging time length, the time length of the electric vehicles respectively accessing the power grid in the preset time period and not being charged is obtained. In an optional embodiment, the time length of the electric vehicle accessing the power grid and the charging time length within the preset time period can be accurately obtained through historical charging data, and the time length difference between the time length of the electric vehicle accessing the power grid and the charging time length is obtained, and the difference value is the time length of the electric vehicle accessing the power grid and not being charged within the preset time period. Based on the method of the optional embodiment, the uncharged time lengths of the electric vehicles respectively connected to the power grid within the preset time period can be accurately obtained.
In some optional embodiments, determining the schedulable charging capacity of the target charging station according to the charging demand electric quantity corresponding to each of the plurality of electric vehicles and the duration of the plurality of electric vehicles accessing the power grid and not being charged in the predetermined time period includes: acquiring the number of a plurality of electric vehicles; respectively acquiring the ratio of the uncharged time length to the time length of a preset time period of a plurality of electric vehicles which are respectively accessed to a power grid within the preset time period; determining schedulable charging capacities of the plurality of electric vehicles according to the time length ratio and the charging demand electric quantity of the corresponding electric vehicle; the sum of the schedulable charging capacities of the plurality of electric vehicles is obtained, and the schedulable charging capacity of the target charging station can be accurately obtained according to the sum of the schedulable charging capacities of the plurality of electric vehicles. In one embodiment, the sum of the schedulable charging capacities of the plurality of electric vehicles is determined to be the schedulable charging capacity of the target charging station. In another embodiment, the schedulable charging capacity of the target charging station is obtained according to a preset correction value and a sum of the schedulable charging capacities of the plurality of electric vehicles.
In this optional embodiment, according to the ratio of the uncharged time length to the time length of the predetermined time period and the charging demand electric quantity of the corresponding electric vehicle, which are connected to the power grid within the predetermined time period, of the electric vehicles respectively, the schedulable charging capacities of the electric vehicles are determined, the schedulable charging capacity of the target charging station is obtained according to the schedulable charging capacities of the electric vehicles, and when the schedulable charging capacity of the target charging station is calculated, parameters which are difficult to obtain by the charging station, such as the SOC of the electric vehicle, are not depended on. Therefore, the schedulable charging capacity of the target charging station can be conveniently and accurately acquired.
Fig. 2 is a flowchart of an alternative method for schedulable discharge capacity determination for an electric vehicle charging station in accordance with an embodiment of the present invention. Referring to fig. 2, the method may include the steps of:
step S202, determining a plurality of electric vehicles with discharging capacity accessed to a target charging station;
step S204, acquiring available capacity and charging and discharging flexibility of vehicle-mounted batteries respectively corresponding to a plurality of electric automobiles with discharging capacity;
step S206, determining schedulable discharge capacities corresponding to the plurality of electric vehicles with the discharge capability according to the vehicle-mounted battery available capacities and the charge-discharge flexibility corresponding to the plurality of electric vehicles with the discharge capability.
In an optional embodiment, the available capacity of the vehicle-mounted battery of the electric vehicle with the discharging capability and the charging and discharging flexibility are compared, and the smaller value of the available capacity and the charging and discharging flexibility is determined as the schedulable discharging capacity of the electric vehicle with the discharging capability.
And S208, determining the schedulable discharge capacity of the target charging station according to the schedulable discharge capacities corresponding to the plurality of electric vehicles with the discharge capacity, wherein the target charging station has a charging function.
It should be understood that, in the related art, when scheduling the charging and discharging power of the electric vehicle charging station with discharging capability, the schedulable discharging capacity of the charging station needs to be obtained. In the related art, it is generally necessary to calculate the schedulable discharge capacity of the charging station by acquiring parameters such as an initial SOC (state of charge, a state of charge of the battery, a remaining capacity representing a remaining capacity of the battery, and a ratio of the remaining capacity to a total capacity), a desired SOC, and the like of the electric vehicle having the discharge capability, and in practical applications, these parameters are difficult to acquire, which results in difficulty in calculating the schedulable discharge capacity of the charging station. That is, in the related art, there is a technical problem that it is difficult to calculate a schedulable discharge capacity of the charging station. In the optional embodiment, the available capacity and the charging and discharging flexibility of the vehicle-mounted battery respectively corresponding to the plurality of electric vehicles with the discharging capacity are obtained; determining schedulable discharge capacities corresponding to the plurality of electric vehicles with the discharge capacity according to the available capacities and the charge-discharge flexibility of the vehicle-mounted batteries corresponding to the plurality of electric vehicles with the discharge capacity; and determining the schedulable discharge capacity of the target charging station according to the schedulable discharge capacities corresponding to the electric vehicles with the discharge capacity respectively. Therefore, the technical problem that the schedulable discharge capacity of the charging station is difficult to calculate in the related art can be solved.
In some optional embodiments, the method for obtaining available capacities of on-board batteries respectively corresponding to a plurality of electric vehicles with discharge capability may include the following steps: acquiring vehicle-mounted power battery capacities corresponding to a plurality of electric vehicles with discharge capacity respectively; and acquiring the available capacities of the vehicle-mounted batteries corresponding to the electric vehicles with the discharging capacity respectively according to the capacities of the vehicle-mounted power batteries corresponding to the electric vehicles with the discharging capacity respectively and the required charging electric quantity. The corresponding vehicle-mounted battery available capacity is obtained through the vehicle-mounted power battery capacity and the charging required electric quantity respectively corresponding to the plurality of electric vehicles with the discharging capacity, and in the processing process, the vehicle-mounted battery available capacity does not need to be calculated through related parameters obtained by the electric vehicles or other systems except the target charging station, so that the problem that the vehicle-mounted battery available capacity is difficult to obtain due to the fact that external parameters are difficult to obtain in the related technology is solved.
In some optional embodiments, obtaining the charging and discharging flexibility corresponding to each of the plurality of electric vehicles with discharging capability may include the following steps: obtaining rated discharge power corresponding to each of a plurality of electric vehicles with discharge capacity; according to the rated discharge power corresponding to each of the plurality of electric vehicles with the discharge capability and the duration of the plurality of electric vehicles with the discharge capability which are connected to the power grid and are not charged within the preset time period, the charging and discharging flexibility corresponding to each of the plurality of electric vehicles with the discharge capability can be accurately obtained.
In some optional embodiments, determining the schedulable discharge capacity of the target charging station according to the schedulable discharge capacities respectively corresponding to the plurality of electric vehicles with discharge capability includes: the method comprises the steps of obtaining the sum of the schedulable discharge capacities of the electric vehicles with the discharge capacity based on the schedulable discharge capacities corresponding to the electric vehicles with the discharge capacity respectively, and obtaining the schedulable discharge capacity of a target charging station according to the sum of the schedulable discharge capacities of the electric vehicles with the discharge capacity. In one embodiment, the sum of the schedulable discharge capacities of the plurality of electric vehicles with discharge capability is determined as the schedulable discharge capacity of the target charging station. From this, can accurately acquire the schedulable discharge capacity of target charging station.
Based on the above embodiments and optional embodiments, the present invention provides an optional implementation manner of a method for determining schedulable charge and discharge capacities of an electric vehicle charging station.
With the increase of the sales volume of electric automobiles, the movable energy storage characteristic of the electric automobiles is increasingly prominent.
The technology for evaluating the dispatchable capacity of the vehicle-mounted power battery of the electric vehicle is a prediction evaluation method which takes an electric vehicle charging station as a unit and can dispatch and control the charging and discharging power in a certain time in the station, can accurately and quantitatively calculate the dispatchable charging and discharging capacity of each vehicle, is very important, is the basis of multiple subsequent research works, and can be used for subsequent ordered charging dispatching strategy formulation, regional power grid cooperative dispatching and the like.
In the related art, schedulable charge-discharge capacity is calculated by mostly depending on multiple real-time parameters of a single electric vehicle, for example: through the initial SOC, the expected leaving time and the like, the acquisition channel of the parameters is lacked in the actual charging station scene, and the popularization and application difficulty is high, so that the problem that a method for calculating the capacity of the dispatchable zone is lacked in the related art exists.
In view of this, the optional embodiment provides a schedulable charging and discharging capacity determination method for an electric vehicle charging station, which determines a plurality of electric vehicles accessing a target charging station;
acquiring charging required electric quantity corresponding to each of the plurality of electric vehicles, and acquiring uncharged time length of each of the plurality of electric vehicles when the plurality of electric vehicles are connected to a power grid within a preset time period, wherein the power grid comprises a power grid for charging the plurality of electric vehicles through a target charging station;
and determining the schedulable charging capacity of the target charging station according to the charging demand electric quantity respectively corresponding to the plurality of electric vehicles and the uncharged time length of the plurality of electric vehicles respectively connected to the power grid within the preset time period. Therefore, the problem that a method for calculating the capacity of the schedulable dash zone is lacked in the related art is solved.
The application scenario of this optional embodiment is an electric vehicle charging station that includes a plurality of bidirectional charging piles, and the charging station is used for charging or discharging for the drive car of multiple model.
In this alternative embodiment, the method of obtaining a schedulable charge capacity includes the steps of:
the size of the schedulable electric quantity is not larger than the charging demand electric quantity of the user, so that the charging demand of the electric automobile on the day is met as a prerequisite in the calculation process. Assuming that the ordered charging schedulable capacity of the ith electric vehicle charging station connected to the charging pile is C i By the following method:
Figure BDA0003859762520000081
obtaining the ordered charging schedulable capacity of the ith electric vehicle charging station as C i 。
N is the number of electric vehicles accessed in the ith electric vehicle charging station; e n The required electric quantity for charging the nth electric automobile is obtained; t represents a predetermined time period, which in this alternative embodiment is 24 hours, i.e. one day as the calculation period; t is t d,n The time length of the nth electric vehicle which is not connected to the power grid on the current day is obtained; t is t c,n The length of time spent charging the nth electric vehicle on the same day. It should be understood that the duration of time that the electric vehicle is not connected to the power grid includes the duration of time that the electric vehicle is driving on the same day, etc.
In this optional embodiment, the method for obtaining the schedulable discharge capacity includes the following steps:
the discharge capacity of the electric automobile to the power grid depends on two factors of charge-discharge flexibility and available capacity of the vehicle-mounted battery, and the smaller value of the two factors is the discharge capacity of the electric automobile. The charging and discharging flexibility is equal to the product of rated charging and discharging power and idle available parking time, the available capacity of the vehicle-mounted battery is equal to the difference between the rated capacity of the vehicle-mounted battery and the daily average power consumption of the vehicle, and the formula is shown as formula 2:
Figure BDA0003859762520000082
Figure BDA0003859762520000083
in the formula, V2G i Regulating the dischargeable capacity of the ith electric vehicle charging station; m represents the number of electric vehicles with dischargeable capacity accessed in the ith electric vehicle charging station; c m The schedulable discharge capacity of the mth electric automobile with the discharge capacity is obtained; p m Rated discharge power of the mth electric vehicle with discharge capability; b m Capacity of a vehicle-mounted power battery for the m-th electric vehicle having a discharge capability, E m And the required electric quantity is the electric quantity for charging the mth electric automobile. t is t d,m The time length that the m electric vehicle with the discharging capability is not connected to the power grid on the current day; t is t c,m The length of time spent charging the mth electric vehicle on the day.
In the optional embodiment, a method for evaluating the schedulable capacity of the electric vehicle charging station is provided, and specifically, a method for schedulable charging capacity of the electric vehicle charging station and a method for schedulable discharging capacity of the electric vehicle charging station are provided, the parameters used in the calculation process can be obtained through a related system and a historical database of the electric vehicle charging station, and related calculation is not needed through external data, so that the actual applicability of the method is improved.
According to an embodiment of the present invention, there is also provided an apparatus for implementing the method for determining schedulable charging capacity, and fig. 3 is a block diagram of an alternative schedulable discharging capacity determining apparatus according to an embodiment of the present invention. Referring to fig. 3, the apparatus includes a first determination module 302, a first acquisition module 304, and a second determination module 306. This will be explained in detail below.
A first determining module 302, configured to determine a plurality of electric vehicles accessing a target charging station; a first obtaining module 304, connected to the first determining module 302, configured to obtain required charging electric quantities corresponding to the plurality of electric vehicles, respectively, and obtain durations that the plurality of electric vehicles are connected to a power grid and are not charged within a predetermined time period, where the power grid includes a power grid for charging the plurality of electric vehicles through a target charging station; the second determining module 306 is connected to the first obtaining module 304, and configured to determine the schedulable charging capacity of the target charging station according to charging required electric quantities corresponding to the plurality of electric vehicles respectively and time durations during which the plurality of electric vehicles are connected to the power grid and are not charged within a predetermined time period.
It should be noted here that the first determining module 302, the first obtaining module 304, and the second determining module 306 respectively correspond to steps S102 to S106 in the embodiment, and the three modules are the same as the corresponding steps in the implementation example and the application scenario, but are not limited to the disclosure in the embodiment.
According to another aspect of the embodiments of the present invention, there is also provided an electric vehicle charging station charging/discharging schedulable capacity determination apparatus, including: the third determining module is used for determining a plurality of electric vehicles with discharging capacity accessed to the target charging station; the second acquisition module is used for acquiring the available capacity and the charging and discharging flexibility of the vehicle-mounted battery respectively corresponding to the plurality of electric vehicles with the discharging capacity; the fourth determining module is used for determining schedulable discharge capacities corresponding to the plurality of electric vehicles with the discharging capability according to the vehicle-mounted battery available capacities and the charging and discharging flexibility corresponding to the plurality of electric vehicles with the discharging capability respectively; and the fifth determining module is used for determining the schedulable discharge capacities of the target charging station according to the schedulable discharge capacities respectively corresponding to the electric vehicles with the discharge capacity, wherein the target charging station has a discharge function.
Embodiments of the present invention also provide a non-volatile storage medium. Optionally, in this embodiment, the nonvolatile storage medium may be configured to store program codes executed by the schedulable discharge capacity determination method provided in the foregoing embodiment.
Optionally, in this embodiment, the nonvolatile storage medium may be located in any one of computer terminals in a computer terminal group in a computer network, or in any one of mobile terminals in a mobile terminal group.
Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: determining a plurality of electric vehicles accessed to a target charging station; acquiring charging required electric quantity corresponding to each of the plurality of electric vehicles, and acquiring uncharged time length of each of the plurality of electric vehicles when the plurality of electric vehicles are connected to a power grid within a preset time period, wherein the power grid comprises a power grid for charging the plurality of electric vehicles through a target charging station; and determining the schedulable charging capacity of the target charging station according to the charging demand electric quantity respectively corresponding to the plurality of electric vehicles and the uncharged time length of the plurality of electric vehicles respectively connected to the power grid within the preset time period.
Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: the duration that a plurality of electric automobile insert the electric wire netting and do not charge respectively in the scheduled time period is obtained, includes: acquiring the time length and the charging time length of a plurality of electric vehicles respectively accessing a power grid in a preset time period; according to the time length of the electric vehicles respectively accessing the power grid in the preset time period and the charging time length, the time length of the electric vehicles respectively accessing the power grid in the preset time period and not being charged is obtained.
Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: according to the charging demand electric quantity corresponding to each electric vehicle and the time length of each electric vehicle which is connected to the power grid and is not charged in the preset time period, the schedulable charging capacity of the target charging station is determined, and the schedulable charging capacity determining method comprises the following steps: acquiring the number of a plurality of electric vehicles; respectively acquiring the ratio of the uncharged time length to the time length of a preset time period of a plurality of electric vehicles which are respectively accessed to a power grid within the preset time period; acquiring the time length ratio and the charging demand electric quantity of the corresponding electric automobile, and determining schedulable charging capacities of the plurality of electric automobiles; and acquiring the sum of the schedulable charging capacities of the plurality of electric vehicles, and acquiring the schedulable charging capacity of the target charging station according to the sum of the schedulable charging capacities of the plurality of electric vehicles.
Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: the method comprises the following steps: acquiring available capacity and charging and discharging flexibility of vehicle-mounted batteries respectively corresponding to a plurality of electric automobiles; determining schedulable discharge capacities corresponding to the plurality of electric vehicles respectively according to the available capacities and the charge-discharge flexibility of the vehicle-mounted batteries corresponding to the plurality of electric vehicles respectively; and determining the schedulable discharge capacity of the target charging station according to the schedulable discharge capacities corresponding to the plurality of electric vehicles respectively.
Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: the method for acquiring the available capacity of the vehicle-mounted battery corresponding to the plurality of electric vehicles respectively comprises the following steps: acquiring the capacities of vehicle-mounted power batteries respectively corresponding to a plurality of electric vehicles; and acquiring the available capacities of the vehicle-mounted batteries respectively corresponding to the electric vehicles according to the capacities of the vehicle-mounted power batteries respectively corresponding to the electric vehicles and the required electric quantity for charging.
Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: acquire the charge-discharge flexibility ratio that a plurality of electric automobile correspond respectively, include: obtaining rated discharge power respectively corresponding to a plurality of electric automobiles; and acquiring the charging and discharging flexibility degrees corresponding to the electric vehicles respectively according to the rated discharging power corresponding to the electric vehicles respectively and the uncharged time length of the electric vehicles which are connected to the power grid respectively within the preset time period.
Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: according to the schedulable discharge capacities corresponding to the plurality of electric vehicles respectively, determining the schedulable discharge capacity of the target charging station, including: acquiring available capacity and charging and discharging flexibility of vehicle-mounted batteries respectively corresponding to a plurality of electric automobiles; determining the discharge schedulable capacities corresponding to the electric vehicles respectively according to the available capacities and the charge and discharge flexibility of the vehicle-mounted batteries corresponding to the electric vehicles respectively; and determining the discharge schedulable capacity of the target charging station according to the discharge schedulable capacities corresponding to the plurality of electric vehicles respectively.
Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: according to the schedulable discharge capacities corresponding to the plurality of electric vehicles respectively, determining the schedulable discharge capacity of the target charging station, including: and acquiring the sum of the schedulable discharge capacities of the plurality of electric vehicles based on the schedulable discharge capacities corresponding to the plurality of electric vehicles respectively, and acquiring the discharge schedulable capacity of the target charging station according to the sum of the schedulable discharge capacities of the plurality of electric vehicles.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the description of each embodiment has its own emphasis, and reference may be made to the related description of other embodiments for parts that are not described in detail in a certain embodiment.
In the embodiments provided in the present application, it should be understood that the disclosed technical content can be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit may be a division of a logic function, and an actual implementation may have another division, 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 may not be 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, units or modules, and may be in an electrical 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 position, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
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, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (10)

1. A method for determining schedulable charging and discharging capacity of an electric vehicle charging station is characterized by comprising the following steps:
determining a plurality of electric vehicles accessed to a target charging station;
acquiring charging required electric quantity corresponding to each of the plurality of electric vehicles, and acquiring the uncharged time length of each of the plurality of electric vehicles when the plurality of electric vehicles are connected to a power grid within a preset time period, wherein the power grid comprises a power grid for charging the plurality of electric vehicles through the target charging station;
and determining the schedulable charging capacity of the target charging station according to the charging demand electric quantity respectively corresponding to the plurality of electric vehicles and the duration of the plurality of electric vehicles which are respectively connected to the power grid and are not charged in the preset time period.
2. The method according to claim 1, wherein the obtaining the duration of the plurality of electric vehicles which are respectively connected to the power grid and not charged within the predetermined time period comprises:
acquiring the time length and the charging time length of the plurality of electric automobiles respectively accessing the power grid within the preset time period;
and acquiring the duration that the plurality of electric vehicles are respectively connected into the power grid and are not charged in the preset time period according to the duration that the plurality of electric vehicles are respectively connected into the power grid in the preset time period and the charging duration.
3. The method of claim 1, wherein determining the schedulable charging capacity of the target charging station according to the charging demand amounts corresponding to the plurality of electric vehicles and the time periods during which the plurality of electric vehicles are not charged when connected to the power grid within the predetermined time period comprises:
acquiring the number of the plurality of electric vehicles;
respectively acquiring the ratio of the uncharged time length of the plurality of electric vehicles which are respectively accessed to the power grid in the preset time period to the time length of the preset time period;
acquiring the time length ratio and the charging demand electric quantity of the corresponding electric automobile, and determining the schedulable charging capacities of the plurality of electric automobiles;
and acquiring the sum of the schedulable charging capacities of the plurality of electric vehicles, and acquiring the schedulable charging capacity of the target charging station according to the sum of the schedulable charging capacities of the plurality of electric vehicles.
4. The method of claim 1, comprising:
determining a plurality of electric vehicles with discharge capacity accessed to the target charging station;
acquiring available capacity and charging and discharging flexibility of vehicle-mounted batteries respectively corresponding to the plurality of electric vehicles with discharging capacity;
determining schedulable discharge capacities corresponding to the electric vehicles with the discharge capacity respectively according to the available capacities and the charge and discharge flexibility of the vehicle-mounted batteries corresponding to the electric vehicles with the discharge capacity respectively;
and determining the schedulable discharge capacity of the target charging station according to the schedulable discharge capacities respectively corresponding to the plurality of electric vehicles with the discharge capacity, wherein the target charging station has a discharge function.
5. The method according to claim 4, wherein the obtaining available capacities of on-board batteries respectively corresponding to the plurality of electric vehicles with discharging capability comprises:
acquiring vehicle-mounted power battery capacities corresponding to the plurality of electric vehicles with the discharging capacity respectively;
and acquiring the available capacities of the vehicle-mounted batteries respectively corresponding to the electric automobiles with the discharging capacity according to the capacities of the vehicle-mounted power batteries respectively corresponding to the electric automobiles with the discharging capacity and the required charging electric quantity.
6. The method according to claim 4, wherein the obtaining of the charging and discharging flexibility corresponding to each of the plurality of electric vehicles with discharging capability comprises:
obtaining rated discharge power respectively corresponding to the plurality of electric automobiles with discharge capacity;
and acquiring the charging and discharging flexibility corresponding to the electric vehicles with the discharging capability respectively according to the rated discharging power corresponding to the electric vehicles with the discharging capability respectively and the duration of the electric vehicles with the discharging capability which are connected to the power grid and are not charged in the preset time period respectively.
7. The method of claim 4, wherein the determining the schedulable discharge capacity of the target charging station according to the schedulable discharge capacities of the plurality of electric vehicles with discharge capability respectively comprises:
and acquiring the sum of the schedulable discharge capacities of the electric vehicles with the discharge capacity based on the schedulable discharge capacities corresponding to the electric vehicles with the discharge capacity respectively, and acquiring the discharge schedulable capacity of the target charging station according to the sum of the schedulable discharge capacities of the electric vehicles with the discharge capacity.
8. The utility model provides an electric automobile charging station charge-discharge schedulable capacity confirms device which characterized in that includes:
the first determining module is used for determining a plurality of electric vehicles accessed to the target charging station;
the first acquisition module is used for acquiring the charging demand electric quantity corresponding to each of the plurality of electric vehicles and acquiring the uncharged time length of each of the plurality of electric vehicles which are connected to a power grid within a preset time period, wherein the power grid comprises a power grid for charging the plurality of electric vehicles through the target charging station;
and the second determining module is used for determining the schedulable charging capacity of the target charging station according to the charging demand electric quantity corresponding to each electric vehicle and the uncharged time length of each electric vehicle which is connected to the power grid within the preset time period.
9. The apparatus of claim 8, further comprising:
the third determining module is used for determining a plurality of electric vehicles with discharging capacity accessed to the target charging station;
the second acquisition module is used for acquiring the available capacity and the charging and discharging flexibility of the vehicle-mounted batteries respectively corresponding to the plurality of electric vehicles with the discharging capacity;
a fourth determining module, configured to determine schedulable discharge capacities corresponding to the plurality of electric vehicles with discharge capabilities according to available capacities and charging and discharging flexibility of vehicle-mounted batteries corresponding to the plurality of electric vehicles with discharge capabilities, respectively;
and the fifth determining module is used for determining the schedulable discharge capacities of the target charging station according to the schedulable discharge capacities corresponding to the electric vehicles with the discharge capacity respectively, wherein the target charging station has a discharge function.
10. A non-volatile storage medium, comprising a stored program, wherein when the program is run, an apparatus on which the storage medium is located is controlled to perform the method of any one of claims 1 to 7.
CN202211158175.6A 2022-09-22 2022-09-22 Method and device for determining schedulable charging and discharging capacity of electric vehicle charging station Pending CN115471093A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211158175.6A CN115471093A (en) 2022-09-22 2022-09-22 Method and device for determining schedulable charging and discharging capacity of electric vehicle charging station

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211158175.6A CN115471093A (en) 2022-09-22 2022-09-22 Method and device for determining schedulable charging and discharging capacity of electric vehicle charging station

Publications (1)

Publication Number Publication Date
CN115471093A true CN115471093A (en) 2022-12-13

Family

ID=84334172

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211158175.6A Pending CN115471093A (en) 2022-09-22 2022-09-22 Method and device for determining schedulable charging and discharging capacity of electric vehicle charging station

Country Status (1)

Country Link
CN (1) CN115471093A (en)

Similar Documents

Publication Publication Date Title
CN102439779B (en) Estimating and enhancing residual performance in an energy storage system
CN110774929A (en) Real-time control strategy and optimization method for orderly charging of electric automobile
CN106356922A (en) Charging control method and system for charging station
CN110605983B (en) Method and device for determining charging speed of electric automobile
CN111106635A (en) Method and device for determining charging mode
CN113466716A (en) Battery health state measuring and calculating method and related equipment
CN113997805A (en) Charging control method and system of new energy automobile, vehicle-mounted terminal and medium
CN105869298B (en) A kind of electric vehicle leasing system and parking stall management method
CN110929921A (en) Charging station load prediction method, charging station load prediction device, computer equipment and storage medium
CN114597992A (en) Acquisition and setting method of charge cut-off electric quantity and charge management system
CN104463464A (en) Power distribution system comprehensive planning method suitable for electric car large-scale application
CN108808781A (en) Electric vehicle reservation charging method and apparatus based on big data
CN109672199B (en) Method for estimating peak clipping and valley filling capacity of electric vehicle based on energy balance
CN117104062A (en) Charging control method and device for charging pile, storage medium and equipment
CN113619443A (en) Charging and discharging management method based on Internet of vehicles, terminal equipment and medium
CN112937436A (en) Vehicle parking early warning method and device and electronic equipment
CN115471093A (en) Method and device for determining schedulable charging and discharging capacity of electric vehicle charging station
CN110861508B (en) Charging control method and system shared by residential area direct current chargers and storage medium
CN111361443A (en) Charging control method and device for photovoltaic charging station
CN116562427A (en) Charging load prediction method and device of charging station, storage medium and equipment
CN113650515B (en) Electric automobile charging control method and device, terminal equipment and storage medium
CN109471034B (en) Method and device for acquiring energy efficiency of electric automobile
CN114255612B (en) Charging pile parking space management and control method and device, computer equipment and storage medium
CN108899924B (en) Power distribution network scheduling method based on electric vehicle state
US20140217979A1 (en) Method and device for optimized recharging of an electric battery

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination