WO2020049364A2 - 用于推荐充电站的方法和装置 - Google Patents

用于推荐充电站的方法和装置 Download PDF

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Publication number
WO2020049364A2
WO2020049364A2 PCT/IB2019/001022 IB2019001022W WO2020049364A2 WO 2020049364 A2 WO2020049364 A2 WO 2020049364A2 IB 2019001022 W IB2019001022 W IB 2019001022W WO 2020049364 A2 WO2020049364 A2 WO 2020049364A2
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WO
WIPO (PCT)
Prior art keywords
charging
electric vehicle
stations
candidate
station
Prior art date
Application number
PCT/IB2019/001022
Other languages
English (en)
French (fr)
Other versions
WO2020049364A3 (zh
Inventor
张欣
段宁
孙伟
高航
刘卫东
Original Assignee
大众汽车股份公司
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 大众汽车股份公司 filed Critical 大众汽车股份公司
Priority to EP19813931.3A priority Critical patent/EP3848868A2/en
Priority to US17/274,011 priority patent/US20210310819A1/en
Publication of WO2020049364A2 publication Critical patent/WO2020049364A2/zh
Publication of WO2020049364A3 publication Critical patent/WO2020049364A3/zh

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34—Route searching; Route guidance
    • G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3476—Special cost functions, i.e. other than distance or default speed limit of road segments using point of interest [POI] information, e.g. a route passing visible POIs
    • 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
    • G06Q10/10—Office automation; Time management
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
    • 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
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34—Route searching; Route guidance
    • G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3484—Personalized, e.g. from learned user behaviour or user-defined profiles
    • 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
    • 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
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/60—Navigation input
    • 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
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/60—Navigation input
    • B60L2240/62—Vehicle position
    • 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
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/70—Interactions with external data bases, e.g. traffic centres
    • 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
    • Y02T90/14—Plug-in electric vehicles

Definitions

  • the present invention relates to the field of electric vehicles, and in particular, to a method and a device for recommending a charging station.
  • Electric vehicles use electric power provided by batteries as the driving force for endurance. Therefore, searching and recommending charging stations is a very basic and important function for electric vehicles.
  • POI points of interest
  • embodiments of the present invention provide a method and apparatus for recommending a charging station, and a computing device and a machine-readable storage medium, which can recommend an appropriate charging station to an electric vehicle for charging.
  • a method for recommending a charging station includes: when receiving a request for searching for a charging station for an electric vehicle, determining that the electric vehicle is reachable based on personal preference information of a user of the electric vehicle And is suitable for a specific area for charging the electric vehicle; a suitable charging station located in the specific area is recommended to the electric vehicle for charging.
  • An apparatus for recommending a charging station includes: a first determining module, configured to, when receiving a request for searching for a charging station for an electric vehicle, based on personal preference information of a user of the electric vehicle, Determining a specific area reachable by the electric vehicle and suitable for charging the electric vehicle; and a first recommendation module for placing the A suitable charging station in the specific area is recommended to the electric vehicle for charging.
  • a device for recommending a charging station includes: a processor; and, a memory, which stores executable instructions, which when executed, cause the processor to perform the foregoing method .
  • a machine-readable storage medium stores executable instructions thereon, the division: executing instructions, when executed, causes a machine to execute the foregoing method.
  • the charging station is recommended to the electric vehicle for charging according to the personal preference information of the user of the electric vehicle. Therefore, compared with the prior art, the solution of the embodiment of the present invention can recommend a matching The charging station is used for charging.
  • FIG. 1 shows a schematic architecture diagram of a system for recommending a charging station according to an embodiment of the present invention.
  • FIG. 2 shows an overall flowchart of a method for information update according to an embodiment of the present invention
  • FIG. 3 shows an overall flowchart of a method for recommending a charging station according to an embodiment of the present invention
  • FIG. 4 shows a flowchart of a method for recommending a charging station according to an embodiment of the present invention
  • FIG. 5 shows a schematic diagram of an apparatus for recommending a charging station according to an embodiment of the present invention.
  • FIG. 6 shows a schematic diagram of a device for recommending a charging station according to an embodiment of the present invention.
  • the system 10 for recommending a charging station may include a monitoring device 20, a server 30, and a client device 40.
  • the server 30 communicates with the client device 40 in a wireless manner, and the server 30 can communicate with the monitoring device 20 in a wired or wireless manner.
  • the monitoring device 20 is located in a charging station, and each charging station has one monitoring device 20.
  • the measurement device 20 uses sensors and the like to collect and store the charging time, occupation time, and current status of each charging pile in the charging station where it is located.
  • the charging time of the charging pile refers to the total accumulated time that the charging pile is occupied by the vehicle for charging within a certain period of time (such as, but not limited to, one month, one quarter, six months, or one year, etc.).
  • Occupation time of the charging pile refers to the total accumulated time that the charging pile is occupied by the vehicle for charging and parking in a certain period of time.
  • the monitoring device 20 periodically observes the status (free or occupied) of each charging station of the charging station ST where it is located in each of the multiple observation windows, and counts each of the charging stations ST in each cycle ZQi The number of times the charging pile is observed to be idle, and then the false idle index FFi of any charging pile STi in the charging station ST is calculated according to the following equation.
  • p (i) represents the number of times that the charging makeup STi was observed to be idle during the period ZQi
  • PG represents that each charging makeup of the charging station ST other than the charging pile STi was observed to be in the period ZQi.
  • the number of idle times, n represents the number of charging posts of the charging station ST.
  • the larger the false idle index FFi indicates that the charging makeup STi is more likely to be occupied due to some unknown reasons.
  • the monitoring device 20 may use the occupancy time of the charging stations ST other than the charging station STi to correct the occupation time of the charging makeup STi, such as but not limited to Therefore, the average value of the occupancy time of each charging station other than the charging station STi in the charging station ST is calculated as the occupancy time of the charging makeup STi.
  • the server 30 is configured to periodically obtain each charge from the monitoring device 20 of each charging station Charging time, occupation time and current status of each charging pile in the station.
  • the server 30 uses the obtained charging time and occupancy time of any charging makeup CTi to calculate the charging round of the charging makeup CTi, which is equal to the ratio of the charging time to the charging time of the charging pile CTi.
  • the server 30 updates the charging round and current state of the charging makeup CTi stored in the server 30 by using the calculated charging round of the charging makeup CTi and the obtained current status of the charging pile CTi.
  • the client device 40 is an electric vehicle, electric vehicle and each having a ⁇ - client device 40.
  • the client device 40i located in the electric vehicle EVi determines the area applicable to the electric vehicle EVi charging that can be reached by the electric vehicle EVi according to personal preference information of the user of the electric vehicle EVi.
  • the client device 40i determines the charging intention of the electric vehicle EVi, which may be to go after charging or to park in place after charging.
  • the client device 40i searches for a charging station located in the determined area to obtain a plurality of candidate charging stations.
  • the client device 40i obtains, from the server 30, the charging round and the current state of each charging pile of each of the plurality of candidate charging stations.
  • the client device 40i recommends the appropriate charging station among the plurality of candidate charging stations to the electric vehicle EVi for charging.
  • the client device 40 may be a navigation device on an electric vehicle, an on-board computer, or any other suitable device.
  • FIG. 2 shows an overall flowchart of a method for information update according to an embodiment of the present invention. Hereinafter, the method 200 of FIG. 2 is described in detail with reference to the system 10 shown in FIG. 1.
  • the server 30 periodically obtains the charging time, occupation time, and current status of each charging station in each charging station from the monitoring device 20 of each charging station.
  • the server 30 calculates the ratio of the charging time to the occupied time of any of the charging piles CTi obtained as the charging cycle of the charging makeup CTi.
  • FIG. 3 shows a method for recommending a charging station according to an embodiment of the present invention Overall flowchart. Hereinafter, the method 300 of FIG. 3 is described in detail with reference to the system 10 shown in FIG. 1.
  • the client device 40j of the electric vehicle W receives a request Q for the electric vehicle W to search for a charging station.
  • the request Q may be input by the user (driver or passenger, etc.) of the electric vehicle W to the client device 40j, or may be the on-board computer of the electric vehicle W according to the remaining power of the battery of the electric vehicle W. Sent to the client device 40j.
  • the client device 40j after receiving the request Q, the client device 40j W electric vehicle user's personal preference information of the PPI, the electric vehicle determines W reachable area CA is applicable to an electric vehicle charging W o
  • personal preference information block PPI indicates electric vehicles
  • the user of W has a personal preference for parking and charging, and the determined area CA matches the personal preference information PPI.
  • the area CA is an area containing the park.
  • the personal preference information PPI indicates that the user of the electric vehicle W prefers to park and charge in and around a large shopping center
  • the area CA is an area containing the large shopping center.
  • the personal preference information PPI may be preset by a user of the electric vehicle W, or may be obtained based on the historical parking charge record of the electric vehicle W
  • the client device 40j determines the charging intention of the electric vehicle W.
  • the charging intent may be to walk immediately after charging or to park in place after charging. Going after charging means that the electric vehicle is driven away after charging at the charging place, and will not park in place at the charging place, so other electric vehicles can then use this charging pile to charge. In-situ parking after charging means that the electric vehicle does not leave after charging at the charging pile, but continues to park in place, so that other electric vehicles cannot use the charging pile for charging next.
  • the client device 40j may use the remaining power of the battery of the electric vehicle W to determine the charging intention of the electric vehicle W. For example, but not limited to, if the remaining power of the battery of the electric vehicle W is still greater than 80% of the total power when the request Q is received, it can be determined that the charging intention of the electric vehicle W is to park in place after charging, because the remaining power is 80% of the total power indicates that the battery of the electric vehicle W is still sufficient. In fact, it is not necessary to charge the battery. In this case, the purpose of searching for the charging station is obviously to Find a place to park your car and charge the car while parking.
  • the client device 40j may use the navigation route of the electric vehicle W to determine the charging intention of the electric vehicle W. Specifically, if the position of the electric vehicle W is not near the destination of the navigation route when the request Q is received, it can be determined that the charging intention of the electric vehicle W is to go after charging, and if the electric vehicle W is electrically charged when the request Q is received If the position of the vehicle W is the destination of the navigation route or in the vicinity of the navigation route, it can be determined that the charging intention of the electric vehicle W is to park the vehicle after charging.
  • the client device 40j may use the historical driving trajectory of the electric vehicle W to judge the charging intention of the electric vehicle W. For example, if the position of the electric vehicle W is in a region where the electric vehicle W often reaches and parks in the historical driving trajectory of the electric vehicle W when the request Q is received, it can be determined that the charging map of the electric vehicle W is fully charged. Parking in place.
  • the client device 40j may use the historical driving trajectory of the electric vehicle W and the remaining battery power to determine the charging intention of the electric vehicle W. For example, but not limited to, if the position of the electric vehicle W is not within the area where the electric vehicle W often reaches and parks in the historical driving trajectory of the electric vehicle W when the request Q is received, and the remaining power of the battery of the electric vehicle W If it is less than 30% of the total power, it can be determined that the charging intention of the electric vehicle W is to leave immediately after charging. '
  • the client device 40j may allow a user of the electric vehicle W to input or select a charging intention of the electric vehicle W, thereby determining the charging intention of the electric vehicle W.
  • the client device 40j searches for charging stations located in the area CA to obtain a plurality of candidate charging stations.
  • the client device 40j obtains, from the server 30, the charging cycle and current state of each charging makeup included in each of the plurality of candidate charging stations.
  • the client device 40j determines whether or not the charging intention of the electric vehicle W is to leave immediately after charging. In block 326, if the determination result in block 322 is affirmative, that is, the charging intention of the electric vehicle W is to go after charging, then the client device 40j according to the current status of each charging makeup included in each of the plurality of candidate charging stations. State, check whether there is at least one charging station AL in the plurality of candidate charging stations, where each of the at least one charging station AL includes a plurality of charging posts that are currently in an idle state.
  • the client device 40j selects the charging station closest to the electric vehicle W from the at least one charging station AL as the charging station recommended to the charging vehicle W, and then Flow proceeds to block 362.
  • the client device 40j calculates the respective charging wheels of the plurality of candidate charging stations according to the charging rounds of each charging pile included in each of the plurality of candidate charging stations. Times, where the charging rounds of each candidate charging station are equal to the average of the charging rounds of each charging pile in the candidate charging station
  • the client device by selecting its charging charging station 40j round charging station as the maximum recommended charging station to charge the vehicle W from the candidate, and then the flow proceeds to block 362 o
  • the client device 40j finds a charging station FD whose charging round is less than the charging round threshold CLT from the plurality of candidate charging stations.
  • the charging round threshold CLT is appropriately set such that charging stations whose charging rounds are smaller than the charging round threshold CLT are all charging and parkingable charging stations, and that their charging rounds are not less than the charging round threshold.
  • CLT charging stations are charging stations that can only be charged and not parked.
  • the client device 40j detects whether there are one or more charging stations in the found charging station FD according to the current status of each charging station of the charging stations FD found, where the one or more Each of the charging stations contains a plurality of charging makeups currently in an idle state.
  • the client device 40j The charging station closest to the charging vehicle W is selected from the one or more charging stations as the charging station recommended to the charging vehicle w, and then the flow proceeds to block 362.
  • the client device 40j selects the charging station with the largest charging round from the found charging stations FD as the charging station recommended to the charging vehicle W, The flow then proceeds to block 362.
  • the client device 40j presents the recommended charging station to the user of the charging vehicle W.
  • the solution of this embodiment recommends the charging station to the electric vehicle for charging according to the personal preference information of the user of the electric vehicle, the charging intention of the electric vehicle, and the charging round that characterizes the use of the charging station. Therefore, the solution of this embodiment can Electric vehicles recommend the appropriate charging station for charging.
  • Electric vehicles recommend the appropriate charging station for charging.
  • the charging cycle of the charging makeup is calculated by the server 30, ' however, the present invention is not limited to this.
  • the charging round charging pole may be calculated and stored with the charging time and the charging time occupied by the monitoring device 20 makeup periodically.
  • the server 30 periodically obtains the charging round and current status of each charging pile in each charging station from the monitoring device 20 of each charging station, and uses the obtained charging round and current status of each charging makeup. Status to update the charging round and current status of each charging pile stored in the server 30.
  • blocks 302-362 are implemented by the client device 40j in the above embodiment, the present invention is not limited thereto. In some other embodiments of the present invention, the operation of blocks 302-362 may be a server device ⁇ ⁇
  • the client device 40j receives the request Q and sends it to the server 30, and after the server 30 has selected a charging station to be recommended to the electric vehicle W for charging, the server 30 sends the selected charging station to the customer The terminal device 40j then the client device 40j presents the received charging station to the user of the electric vehicle W.
  • FIG. 4 shows a flowchart of a method for recommending a charging station according to an embodiment of the present invention.
  • the method 400 shown in FIG. 4 may be implemented by the client device 40, the server 30, or any other suitable device.
  • the method 400 may include, at block 402, when a request for searching for a charging station for an electric vehicle is received, determining that the electric vehicle is reachable based on personal preference information of a user of the electric vehicle. And suitable for charging a specific area of the electric vehicle.
  • the method 400 may further include, at block 404, recommending a suitable charging station located in the specific area to the electric vehicle for charging.
  • block 404 includes: determining a charging of the electric vehicle is intended; Search for the specific region in the charging station, charging station to obtain a plurality of candidate; acquiring the respective plurality of candidate charging each charging stations The charging round and current state of the makeup, wherein the charging round of each charging pile indicates the ratio of the charging time to the occupied time of the charging pile, and the current state of each charging pile indicates whether the charging pile is currently idle; and Based on the determined charging intention and the obtained charging round and current state, recommending an appropriate charging station among the plurality of candidate charging stations to the electric vehicle for charging.
  • recommending a suitable charging station of the plurality of candidate charging stations to the electric vehicle for charging includes: if the determined charging intention is to go after charging, based on the acquired current state Checking whether there is at least one charging station among the plurality of candidate charging stations, wherein each of the at least one charging station includes a plurality of charging stations that are currently idle; and, if the result of the check is affirmative, selecting from at least one The charging station is selected to be the closest charging station to the electric vehicle to recommend to the electric vehicle.
  • a suitable one of the plurality of candidate charging stations is recommended to all stations.
  • the charging of the electric vehicle further includes: if the result of the check is negative, calculating the respective charging rounds of the plurality of candidate charging stations based on the obtained charging rounds, wherein The charging round indicates an average value of the charging rounds of each charging makeup in the candidate charging station; and a charging station with the largest charging round is selected from the plurality of candidate charging stations to recommend to the electric vehicle.
  • recommending a suitable charging station of the plurality of candidate charging stations to the electric vehicle for charging includes: if the determined charging intention is to park the vehicle on site after charging, based on the obtained Charging rounds, calculating respective charging rounds of the plurality of candidate charging stations, wherein the charging round of each candidate charging station represents an average value of the charging rounds of each charging makeup in the candidate charging station; Among the candidate charging stations, a charging station whose charging round is less than the charging round threshold is found; based on the obtained current state, it is detected whether there are one or more charging stations in the found charging stations, wherein the one or The plurality of charging stations each include a plurality of currently idle charging piles; and if the detection result is positive, selecting the charging station closest to the charging vehicle from the one or more charging stations to recommend to the charging station. Electric vehicle.
  • recommending a suitable charging station of the plurality of candidate charging stations to the electric vehicle for charging further includes: if the result of the detection is negative, selecting from the found charging stations. The charging station with the largest number of charging rounds is recommended to the electric vehicle.
  • determining the charging intention of the electric vehicle includes determining the electric vehicle based on a remaining power of a battery of the electric vehicle, a historical driving trajectory of the electric vehicle, and / or a navigation route of the electric vehicle.
  • Fig. 5 shows a schematic diagram of an apparatus for recommending a charging station according to an embodiment of the present invention.
  • the apparatus 500 shown in FIG. 5 may be implemented by using software, hardware, or a combination of software and hardware.
  • the device 500 may be installed in the client device 40, the server 30, or any other suitable device.
  • the apparatus 500 may include a first determination module 502 and a first recommendation module 504.
  • the first determining module 502 is configured to, when receiving a request for searching for a charging station for an electric vehicle, determine, based on personal preference information of a user of the electric vehicle, a specific reachable electric vehicle and suitable for charging the electric vehicle. region.
  • First recommendation module 504 For recommending a suitable charging station located in the specific area to the electric vehicle for charging.
  • the first recommendation module 504 includes: a second determination module for determining a charging intention of the electric vehicle; a search module for searching a charging station located in the specific area to obtain a plurality of candidate charging Station: an acquisition module for acquiring the charging round and current status of each charging pile of the plurality of candidate charging stations, wherein the charging round of each charging pile represents the ratio of the charging time to the occupied time of the charging pile And, the current status of each charging makeup indicates whether the charging pile is currently idle; and a second recommendation module, configured to, based on the determined charging intention, and the obtained charging round and current status, select the plurality of candidates A suitable charging station among the charging stations is recommended for the electric vehicle for charging.
  • the second recommendation module may include: a first checking module, configured to check the plurality of candidate charging stations based on the obtained current state if the determined charging intention is to go on a full charge. Whether there is at least one charging station, wherein each of the at least one charging station includes a plurality of charging makeups that are currently in an idle state; and a first selection module, configured to: A charging station closest to the electric vehicle is selected from at least one charging station to recommend to the electric vehicle.
  • the second recommendation module may further include: a first calculation module, configured to calculate a respective one of the plurality of candidate charging stations based on the obtained charging rounds if the result of the check is negative. Charging rounds, wherein the charging rounds of each candidate charging station represent the average value of the charging rounds of each charging pile in the candidate charging station; and a second selection module configured to select from among the plurality of candidate charging stations The charging station with the largest number of charging rounds is selected to recommend to the electric vehicle.
  • a first calculation module configured to calculate a respective one of the plurality of candidate charging stations based on the obtained charging rounds if the result of the check is negative.
  • Charging rounds wherein the charging rounds of each candidate charging station represent the average value of the charging rounds of each charging pile in the candidate charging station
  • a second selection module configured to select from among the plurality of candidate charging stations The charging station with the largest number of charging rounds is selected to recommend to the electric vehicle.
  • the second recommendation module may include: a second calculation module, configured to calculate the plurality of charging cycles based on the obtained charging rounds if the determined charging intention is to park on-site after being charged.
  • the respective charging rounds of the candidate charging stations wherein the charging rounds of each candidate charging station represent the average value of the charging rounds of each charging pile in the candidate charging station;
  • a searching module is configured to select the charging stations from the plurality of candidate charging stations; Find a charging station whose charging round is less than the charging round threshold; a detection module, configured to detect, based on the acquired current state, whether one or more charging stations exist in the found charging station, wherein the one Or more Each charging station includes a plurality of charging piles that are currently in an idle state; and a third selection module for selecting the one or more charging stations closest to the charging vehicle if the detection result is positive.
  • the charging station is recommended to fans of electric vehicles.
  • the second recommendation module may further include: a fourth selection module, configured to select a charging station whose charging round is the largest from the found charging stations if the result of the check is negative. Take the recommendation to the electric vehicle.
  • the second determination module is further configured to determine the electric vehicle based on a remaining power of a battery of the electric vehicle, a historical driving trajectory of the electric vehicle, and / or a navigation route of the electric vehicle.
  • Charging intent Fig. 6 shows a schematic diagram of an apparatus for recommending a charging station according to an embodiment of the present invention.
  • the device 600 shown in FIG. 6 may be, for example, a client device 40, a server 30, or any other suitable device.
  • the device 600 may include a processor 602 and a memory 604 o.
  • the memory 604 stores executable instructions that, when executed, cause the processor 602 to perform the method 300 or the method 400.
  • An embodiment of the present invention also provides a machine-readable storage medium having executable instructions stored thereon. When the executable instructions are executed, the machine executes the method 300 or the method 400.

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Abstract

本发明涉及用于推荐充电站的方法和装置，该方法包括：当接收到给电动车辆搜索充电站的请求时，基于所述电动车辆的用户的个人偏好信息，确定所述电动车辆可到达的且适用于所述电动车辆充电的特定区域；将位于所述特定区域中的合适的充电站推荐给所述电动车辆用于充电。利用该方法和装置，能够向电动车辆推荐恰当的充电站用于充电。

Description

用于推荐充电站的方法和装置 技术领域
本发明涉及电动车辆领域，尤其涉及用于推荐充电站的方法和装 置 技术背景
电动车辆使用电池提供的电能作为续航的动力， 因此，对于电动 车辆而言， 搜索和推荐充电站是非常基本和重要的功能。
目前， 充电站通常被作为兴趣点（POI） 对待， 由导航系统搜索 并推荐给电动车辆。
然而，现有的充电站搜索经常发生向电动车辆推荐了不恰当的充 电站用于充电。 例如， 用户想在公园附近停车充电， 但他 /她却被推 荐到商场或购物中心附近停车充电。 发明内容
考虑到现有技术的以上问题，本发明实施例提供用于推荐充电站 的方法和装置以及计算设备和机器可读存储介质，其能够向电动车辆 推荐恰当的充电站用于充电。
按照本发明实施例的一种用于推荐充电站的方法，包括： 当接收 到给电动车辆搜索充电站的请求时，基于所述电动车辆的用户的个人 偏好信息，确定所述电动车辆可到达的且适用于所述电动车辆充电的 特定区域；将位于所述特定区域中的合适的充电站推荐给所述电动车 辆用于充电。
按照本发明实施例的一种用于推荐充电站的装置， 包括： 第一确 定模块， 用于当接收到给电动车辆搜索充电站的请求时，基于所述电 动车辆的用户的个人偏好信息，确定所述电动车辆可到达的且适用于 所述电动车辆充电的特定区域； 以及， 第一推荐模块， 用于将位于所 述特定区域中的合适的充电站推荐给所述电动车辆用于充电。
按照本发明实施例的一种用于推荐充电站的设备，包括：处理器; 以及， 存储器， 其上存储可执行指令， 所述可执行指令当被执行时使 得所述处理器执行前述的方法。
按照本发明实施例的一种机器可读存储介质，其上存储有可执行 指令， 所述司:执行指令当被执行时使得机器执行前述的方法。
本发明的实施例的方案根据电动车辆的用户的个人偏好信息来 向电动车辆推荐充电站用于充电， 因此， 与现有技术相比， 本发明的 实施例的方案能够向电动车辆推荐匹配的充电站用于充电。 附图说明
本发明的特点、特征、优点和益处通过以下结合附图的详细描述 将变得更加淸楚。 其中：
图 1 示出了按照本发明的一个实施例的用于推荐充电站的系统 的架构示意图
图 2 示出了按照本发明的一个实施例的用于信息更新的方法的 总体流程图；
图 3 示出了按照本发明的一个实施例的用于推荐充电站的方法 的总体流程图；
图 4 示出了按照本发明的一个实施例的用于推荐充电站的方法 的流程图；
图 5 示出了按照本发明的一个实施例的用于推荐充电站的装置 的示意图： 以及
图 6 示出了按照本发明的一个实施例的用于推荐充电站的设备 的示意图。 具体实施方式 下面， 将结合附图详细描述本发明的各个实施例。 图 1 示出了按照本发明的一个实施例的用于推荐充电站的系统 的架构示意图。 如图 I所示， 用于推荐充电站的系统 10可以包括监 测设备 20、 服务器 30和客户端设备 40。 服务器 30通过无线的方式 与客户端设备 40通信， 以及， 服务器 30可以通过有线或无线的方式 与监测设备 20通信。
监测设备 20位于充电站中， 并且每一个充电站具有一个监测设 备 20。 聛测设备 20利用传感器等来收集和存储其所位于的充电站中 的各个充电桩的充电时间、 占用时间和当前状态。充电桩的充电时间 指在某一时间段（例如但不局限于， 一个月、 一个季度、 半年或一年 等）内充电桩被车辆占用进行充电的总累积时间。充电桩的占用时间 指在某一时间段内充电桩被车辆占用进行充电和泊车的总累积时间。 当充电桩当前被车辆占用进行充电或泊车时，充电粧的当前状态为占 用， 以及， 当充电桩当前未被车辆占用时，充电桩的当前状态为空闲。
在一个方面， 监测设备 20周期地在多个观测窗口的每一个观测 窗口观测其所在充电站 ST的各个充电桩的状态（空闲或占用），并且 统计在每一个周期 ZQi中充电站 ST的各个充电桩被观测到处于空闲 的次数， 然后按照以下等式计算充电站 ST中的任一充电桩 STi的虚 假空闲指数 FFi。
n
FFi = z pii) * log ( pU\
PU)
其中， p（i）表示在周期 ZQi中充电粧 STi的被观测到处于空闲的 次数， PG）表示在周期 ZQi中充电站 ST的除了充电桩 STi之外的其它 各个充电粧的被观测到处于空闲的次数， n表示充电站 ST的充电桩 的个数。 虚假空闲指数 FFi越大， 表明充电粧 STi由于某些不知道的 原因而被占用的可能性越大。如果充电桩 STi的虚假空闲指数大于指 定虚假阈值， 则监测设备 20可以利用充电站 ST中的除了充电桩 STi 之外的其它充电桩的占用时间来校正充电粧 STi的占用时间，例如但 不局限于， 计算充电站 ST中的除了充电桩 STi之外的其它各个充电 桩的占用时间的均值作为充电粧 STi的占用时间。
服务器 30用于周期地从各个充电站的监测设备 20获取各个充电 站中的各个充电桩的充电时间、 占用时间和当前状态。 服务器 30利 用所获取的任一充电粧 CTi的充电时间和占用时间， 计算充电粧 CTi 的充电轮次，其等于充电桩 CTi的充电时间与占用时间之比。服务器 30利用所计算的充电粧 CTi的充电轮次和所获取的充电桩 CTi的当 前状态，更新服务器 30中存储的充电粧 CTi的充电轮次和当前状态。
客户端设备 40位于电动车辆中， 并且每一个电动车辆具有 · -个 客户端设备 40。 当欲对电动车辆 EVi充电时， 位于电动车辆 EVi中 的客户端设备 40i根据电动车辆 EVi的用户的个人偏好信息确定电动 车辆 EVi可到达的适用于电动车辆 EVi充电的区域。然后，客户端设 备 40i确定电动车辆 EVi的充电意图，该充电意图可以是充完电即走 或充完电原地泊车。 接着， 客户端设备 40i搜索位于所确定的区域中 的充电站， 以得到多个候选充电站。 客户端设备 40i从服务器 30获 取该多个候选充电站各自的各个充电桩的充电轮次和当前状态。基于 电动车辆 EVi的充电意图以及所获取的充电轮次和当前状态，客户端 设备 40i将该多个候选充电站中的合适的充电站推荐给电动车辆 EVi 用于充电。 例如但不局限于， 客户端设备 40可以是电动车辆上的导 航设备、 车载电脑或任何其它合适的设备。 图 2 示出了按照本发明的一个实施例的用于信息更新的方法的 总体流程图。下面，结合图 1所示的系统 10详细描述图 2的方法 200。
如图 2所示， 在方框 202, 服务器 30周期地从各个充电站的监 测设备 20中获取各个充电站中的各个充电桩的充电时间、 占用时间 和当前状态。
在方框 206, 服务器 30计算所获取的任一充电桩 CTi的充电时 间与占用时间之比， 作为充电粧 CTi的充电轮次。
在方框 210, 服务器 30利用所计算的充电桩 CTi的充电轮次和 所获取的充电桩 CTi的当前状态，更新服务器 30中存储的充电粧 CTi 的充电轮次和当前状态。 图 3 示出了按照本发明的一个实施例的用于推荐充电站的方法 的总体流程图。 下面， 结合图 1所示的系统 10详细描述图 3的方法 300。
如图 3所示，在方框 302, 电动车辆 W的客户端设备 40j接收给 电动车辆 W搜索充电站的请求 Q。 例如但不局限于， 请求 Q可以是 电动车辆 W的用户 （驾驶员或乘客等）输入给客户端设备 40j的， 或者，可以是电动车辆 W的车载电脑根据电动车辆 W的电池的剩余 电量而发送给客户端设备 40j的。
在方框 306, 在接收到请求 Q之后， 客户端设备 40j根据电动车 辆 W的用户的个人偏好信息 PPI， 确定电动车辆 W可到达的适用于 电动车辆 W充电的区域 CAo这里，个人偏好信息 PPI指示电动车辆
W的用户停车充电的个人偏好，并且，所确定的区域 CA与个人偏好 信息 PPI相匹配。 例如， 如果个人偏好信息 PW指示电动车辆 W的 用户偏好在公园及其附近停车充电，则区域 CA是包含有公园的区域。 又例如， 如果个人偏好信息 PPI指示电动车辆 W的用户偏好在大型 购物中心及其附近停车充电，则区域 CA是包含有大型购物中心的区 域。 例如但不局限于， 个人偏好信息 PPI可以是电动车辆 W的用户 预先设定的， 或者， 是根据电动车辆 W的历史停车充电记录统计得 到
在方框 310,客户端设备 40j确定电动车辆 W的充电意图。充电 意图可以是充完电即走或充完电原地泊车。充完电即走是指电动车辆 在充电粧处充完电之后被驾驶离开，并不会在充电粧处原地泊车，从 而其它电动车辆可以接下来利用该充电桩进行充电。充完电原地泊车 是指电动车辆在充电桩处充完电之后并不离开， 而是继续在原地泊 车， 从而其它电动车辆接下来不能利用该充电桩进行充电。
在一个方面， 客户端设备 40j可以利用电动车辆 W的电池的剩 余电量来判断电动车辆 W的充电意图。 例如但不局限于， 如果当接 收到请求 Q时电动车辆 W的电池的剩余电量仍然大于 80%总电量， 则可以判定电动车辆 W的充电意图是充完电原地泊车， 因为剩余电 量大于 80%总电量表明电动车辆 W的电池的电量仍然很充足， 实际 上并不需要对电池进行充电，在这种情况搜索充电站的目的显然是想 找地方泊车， 并且在泊车的同时顺便给车辆充电。
在一个方面，在电动车辆 W当前正基于导航路线行驶的情况下, 客户端设备 40j可以利用电动车辆 W的导航路线来判断电动车辆 W 的充电意图。 具体地， 如果当接收到请求 Q时电动车辆 W的位置不 是在导航路线的目的地附近， 则可以判定电动车辆 W的充电意图是 充完电即走， 以及， 如果当接收到请求 Q时电动车辆 W的位置是导 航路线的目的地或者在导航路线的附近， 则可以判定电动车辆 W的 充电意图是充完电原地泊车。
在一个方面， 在电动车辆 W当前行驶没有使用导航路线行驶的 情况下， 客户端设备 40j可以利用电动车辆 W的历史行驶轨迹来判 断电动车辆 W的充电意图。 例如， 如果当接收到请求 Q时电动车辆 W的位置处于在电动车辆 W的历史行驶轨迹中电动车辆 W经常到达 并泊车的区域内， 则可以判定电动车辆 W的充电韋图是充完电原地 泊车。
在一个方面， 在电动车辆 w当前行驶没有使用导航路线行驶的 情况下， 客户端设备 40j可以利用电动车辆 W的历史行驶轨迹和电 池剩余电量来判断电动车辆 W的充电意图。 例如但不局限于， 如果 当接收到请求 Q时电动车辆 W的位置未处于在电动车辆 W的历史行 驶轨迹中电动车辆 W经常到达并泊车的区域内，并且电动车辆 W的 电池的剩余电量已经小于 30%总电量， 则可以判定电动车辆 W的充 电意图是充完电即走。 '
在一个方面，在接收到请求 Q之后，客户端设备 40j可以让电动 车辆 W的用户输入或选择电动车辆 W的充电意图， 以此来确定电动 车辆 W的充电意图。
在方框 314, 客户端设备 40j搜索位于区域 CA中的充电站， 以 得到多个候选充电站。
在方框 318,客户端设备 40j从服务器 30获取该多个候选充电站 各自所包含的各个充电粧的充电轮次和当前状态。
在方框 322,客户端设备 40j判断电动车辆 W的充电意图是否是 充完电即走。 在方框 326,如果方框 322的判断结果为肯定，即电动车辆 W的 充电意图是充完电即走， 则客户端设备 40j根据该多个候选充电站各 自所包含的各个充电粧的当前状态，检査该多个候选充电站中是否存 在至少一个充电站 AL, 其中， 该至少一个充电站 AL中的每一个充 电站包含多个当前处于空闲状态的充电桩。
在方框 330,如果方框 326的检查结果为肯定，则夸户端设备 40j 从该至少一个充电站 AL中选取其与电动车辆 W最近的充电站作为 向充电车辆 W推荐的充电站， 然后流程进行到方框 362。
在方框 334,如果方框 326的检查 果为否定，则客户端设备 40j 根据该多个候选充电站各自所包含的各个充电桩的充电轮次，计算该 多个候选充电站各自的充电轮次，其中，每一个候选充电站的充电轮 次等于该候选充电站中的各个充电桩的充电轮次的均值
徉方框 338, 客户端设备 40j从该多个候选充电站中选取其充电 轮次最大的充电站作为向充电车辆 W推荐的充电站， 然后流程进行 到方框 362 o
在方框 342,如果方框 322的判断结果为否定，即电动车辆 W的 充电意图是充完电原地泊车， 则客户端设备 40j根据该多个候选充电 站各自所包含的各个充电桩的充电轮次，计算所述多个候选充电站各 自.的充电轮次，其中， 每一个候选充电站的充电轮次等于该候选充电 站中的各个充电粧的充电轮次的均值。
在方框 346, 客户端设备 40j从该多个候选充电站中找出其充电 轮次小于充电轮次阈值 CLT的充电站 FD。这里， 充电轮次阈值 CLT 被适当地设置以使得其充电轮次小于充电轮次阈值 CLT的充电站都 属于可充电且可泊车的充电站， 以及，其充电轮次不小于充电轮次阈 值 CLT的充电站都属于仅可充电且不可泊车的充电站。
在方框 350, 客户端设备 40j根据所找出的充电站 FD各自的各 个充电桩的当前状态， 检测所找出的充电站 FD中是否存在一个或多 个充电站， 其中， 该一个或多个充电站中的每一个充电站包含多个当 前处于空闲状态的充电粧。
在方框 354,如果方框 350的检测结果为肯定，则客户端设备 40j 从该一个或多个充电站中选取其与充电车辆 W最近的充电站作为向 充电车辆 w推荐的充电站， 然后流程进行到方框 362。
在方框 358,如果方框 350的检 .测结果为否定，则客户端设备 40j 从所找出的充电站 FD中选取其充电轮次最大的充电站作为向充电车 辆 W推荐的充电站， 然后流程进行到方框 362。
在方框 362 ,客户端设备 40j向充电车辆 W的用户呈现所推荐的 充电站。 本实施例的方案根据电动车辆的用户的个人偏好信息、电动车辆 的充电意图和表征充电站的用途的充电轮次来向电动车辆推荐充电 站用于充电， 因此，本实施例的方案能够向电动车辆推荐恰当的充电 站用于充电。 其它变型
本领域技术人员应当理解， 虽然在上面的实施例中，充电粧的充 电轮次是由服务器 30来计算的,’然而， 本发明并不局限于此。 在本 发明的其它 ·些实施例中， 充电桩的充电轮次也可以由监测设备 20 周期地利用充电粧的充电时间和占用时间计算得到并存储起来。在这 种情况下，服务器 30周期地从各个充电站的监测设备 20中获取各个 充电站中的各个充电桩的充电轮次和当前状态，并利用所获取的各个 充电粧的充电轮次和当前状态来更新服务器 30中存储的各个充电桩 的充电轮次和当前状态。
本领域技术人员应当理解，虽然在上面的实施例中，方框 302-362 的操作是由客户端设备 40j来实现的， 然而， 本发明并不局限于此。 在本发明的其它一些实施例中， 方框 302-362的操作也可以由服^ ·器
30来实现。 在这种情况下， 客户端设备 40j接收请求 Q并发送给服 务器 30， 以及当服务器 30已选取要推荐给电动车辆 W用于充电的 充电站之后，服务器 30把该选取的充电站发送给客户端设备 40j，然 后客户端设备 40j将接收的充电站呈现给电动车辆 W的用户。
本领域技术人员应当理解， 虽然在上面的实施例中，根据电动车 辆的用户的个人偏好信息、电动车辆的充电意图和表征充电站的用途 的充电轮次来向电动车辆推荐充电站用于充电， 然而，本发明并不局 限于此。在本发明的其它一些实施例中，也可以仅根据电动车辆的用 户的个人偏好信息来向电动车辆推荐充电站用于充电， 在这种情况 下， 方法 300不包括方框 310-358， 并且在方框 362中将区域 CA中 的一个合适的充电站推荐给电动车辆用于充电。 图 4示出了按照本发明的一个实施例的用于推荐充电站的方法 的流程图。 图 4所示的方法 400可以由客户端设备 40、 服务器 30或 任何其它合适的设备来实现。
如图 4所示， 方法 400可以包括， 在方框 402， 当接收到给电动 车辆搜索充电站的请求时， 基于所述电动车辆的用户的个人偏好信 息，确定所述电动车辆可到.达的且适用于所述电动车辆充电的特定区 域。
方法 400还可以包括， 在方框 404, 将位于所述特定区域中的合 适的充电站推荐给所述电动车辆用于充电。
在第 ·方面， 方框 404包括： 确定所述电动车辆的充电意图； 搜 索位于所述特定区域中的充电站， 以得到多个候选充电站； 获取所述 多个候选充电站各自的各个充电粧的充电轮次和当前状态，其中，每 一个充电桩的充电轮次表示该充电桩的充电时间与占用时间之比，以 及， 每一个充电桩的当前状态表示该充电桩当前是否空闲； 以及， 基 于所确定的充电意图以及所获取的充电轮次和当前状态，将所述多个 候选充电站中的合适的充电站推荐给所述电动车辆用于充电。
在第二方面，将所述多个候选充电站中的合适的充电站推荐给所 述电动车辆用于充电包括： 如果所确定的充电意图是充完电即走， 则 基于所获取的当前状态，检查所述多个候选充电站中是否存在至少一 个充电站,其中， 所述至少一个充电站各自包含多个当前空闲的充电 桩； 以及， 如果检查的结果为肯定， 则从所述至少一个充电站中选取 '其与所述电动车辆最近的充电站以推荐给所述电动车辆。
在第三方面，将所述多个候选充电站中的合适的充电站推荐给所 述电动车辆用于充电还包括： 如果所述检査的结果为否定，则基于所 获取的充电轮次， 计算所述多个候选充电站各自的充电轮次， 其中， 每一个候选充电站的充电轮次表示该候选充电站中的各个充电粧的 充电轮次的均值； 以及，从所述多个候选充电站中选取其充电轮次最 大的充电站以推荐给所述电动车辆。
在第四方面，将所述多个候选充电站中的合适的充电站推荐给所 述电动车辆用于充电包括： 如果所确定的充电意图是充完电原地泊 车， 则基于所获取的充电轮次，计算所述多个候选充电站各自的充电 轮次，其中，每一个候选充电站的充电轮次表示该候选充电站中的各 个充电粧的充电轮次的均值；从所述多个候选充电站中找出其充电轮 次小于充电轮次阈值的充电站；基于所获取的当前状态，检测所找出 的充电站中是否存在一个或多个充电站，其中，所述一个或多个充电 站各自包含多个当前空闲的充电桩； 以及， 如果检测的结果为肯定， 则从所述一个或多个充电站中选取其与所述充电车辆最近的充电站 以推荐给所述电动车辆。
在第五方面，将所述多个候选充电站中的合适的充电站推荐给所 述电动车辆用于充电还包括：如果所述检测的结果为否定， 则从所找 出的充电站中选取其充电轮次最大的充电站以推荐给所述电动车辆。
在第六方面，确定所述电动车辆的充电意图包括：基于所述电动 车辆的电池的剩余电量、 所述电动车辆的历史行驶轨迹和 /或所述电 动车辆的导航路线， 确定所述电动车辆的充电意图。 图 5 示出了按照本发明的一个实施例的用于推荐充电站的装置 的示意图。 图 5所示的装置 500可以利用软件、硬件或软硬件结合的 方式来实现。 装置 500可以安装在客户端设备 40、 服务器 30或任何 其它合适的设备中。
如图 5所示，装置 500可以包括第一确定模块 502和第 推荐模 块 504。 第一确定模块 502用于当接收到给电动车辆搜索充电站的请 求时，基于所述电动车辆的用户的个人偏好信息，确定所述电动车辆 可到达的且适用于所述电动车辆充电的特定区域。 第一推荐模块 504 用于将位于所述特定区域中的合适的充电站推荐给所述电动车辆用 于充电。
在笫一方面， 第一推荐模块 504包括： 第二确定模块，用于确定 所述电动车辆的充电意图;搜索模块，用于搜索位于所述特定区域中 的充电站， 以得到多个候选充电站： 获取模块， 用于获取所述多个候 选充电站各自的各个充电桩的充电轮次和当前状态，其中，每一个充 电桩的充电轮次表示该充电桩的充电时间与占用时间之比， 以及，每 一个充电粧的当前状态表示该充电桩当前是否空闲； 以及，第二推荐 模块， 用于基于所确定的充电意图以及所获取的充电轮次和当前状 态，将所述多个候选充电站中的合适的充电站推荐给所述电动车辆用 于充电。
在第二方面，所述第二推荐模块可以包括： 第一检查模块， 用于 如果所确定的充电意图是充完电即走,则基于所获取的当前状态，检 查所述多个候选充电站中是否存在至少一个充电站， 其中，所述至少 —个充电站各自包含多个当前处于空闲状态的充电粧； 以及，第一选 取模块，用于如果检査的结果为肯定，则从所述至少一个充电站中选 取其与所述电动车辆最近的充电站以推荐给所述电动车辆。
在第三方面， 所述第二推荐模块还可以包括： 第一计算模块， 用 于如果所述检查的结果为否定，则基于所获取的充电轮次，计算所述 多个候选充电站各自的充电轮次，其中，每一个候选充电站的充电轮 次表示该候选充电站中的各个充电桩的充电轮次的均值； 以及， 第二 选取模块，用于从所述多个候选充电站中选取其充电轮次最大的充电 站以推荐给所述电动车辆。
在第四方面， 所述第二推荐模块可以包括： 第二计算模块， 用于 如果所确定的充电意图是充完电原地泊车， 则基于所获取的充电轮 次， 计算所述多个候选充电站各自的充电轮次，其中， 每一个候选充 电站的充电轮次表示该候选充电站中的各个充电桩的充电轮次的均 值； 査找模块，用于从所述多个候选充电站中找出其充电轮次小于充 电轮次阈值的充电站； 检测模块， 用于基于所获取的当前状态， 检测 所找出的充电站中是否存在一个或多个充电站，其中，所述一个或多 个充电站各自包含多个当前处于空闲状态的充电桩； 以及，第三选取 模块，用于如果检测的结果为肯定，则从所述一个或多个充电站中选 取其与所述充电车辆最近的充电站以推荐给所迷电动车辆。
在第五方面， 所述第二推荐模块还可以包括： 第四选取模块， 用 于如果所述检 _的结果为否定，则从所找出的充电站中选取其充电轮 次最大的充电站以推荐给所述电动车辆。
在第六方面，所述第二确定模块进一步用于：基于所述电动车辆 的电池的剩余电量、 所述电动车辆的历史行驶轨迹和 /或所述电动车 辆的导航路线， 确定所述电动车辆的充电意图。 图 6示出了按照本发明的一个实施例的用于推荐充电站的设备 的示意图。 图 6所示的设备 600例如可以是客户端设备 40、 服务器 30或任何其它合适的设备。
如图 6所示，设备 600可以包括处理器 602和存储器 604o其中， 存储器 604存储有可执行指令，所述可执行指令当被执行时使得处理 器 602执行方法 300或方法 400。 本发明实施例还提供一种机器可读存储介质，其上存储有可执行 指令，所述可执行指令当被执行时使得机器执行方法 300或方法 400。 上面结合附图阐述的具体实施方式描述了示例性 施例，但并不 表示可以实现的或者落入权利要求书的保护范围的所有实施例。在整 个本说明书中使用的术语“示例性”意味着“用作示例、实例或例示”， 并不意味着比其它实施例 ·“优选”或“具有优势”。 出于提供对所描 述技术的理解的目的， 具体实施方式包括具体细节。然而， 可以在没 有这些具体细节的情况下实施这些技术。在一些实例中，为了避免对 · 所描述的实施例的概念造成难以理解，公知的结构和装置以框图形式 示出。
本公开内容的上述描述被提供来使得本领域任何普通技术人员 能够实现或者使用本公开内容。对于本领域普通技术人员来说， 对本 公开内容进行的各种修改是显而易见的，并且，也可以在不脱离本公 开内容的保护范围的情况下，将本文所定义的一般性原理应用于其它 变型。因此， 本公开内容并不限于本文所描述的示例和设计， 而是与 符合本文公开的原理和新颖性特征的最广范围相一致。

Claims

权利要求书
1、 一种用于推荐充电站的方法， 包括：
当接收到给电动车辆搜索充电站的请求时，基于所述电动车辆的 用户的个人偏好信息，确定所述电动车辆可到达的且适用于所述电动 车辆充电的特定区域； 以及
将位于所述特定区域中的合适的充电站推荐给所述电动车辆用 于充电。
2、 如权利要求 1所述的方法， 其中， 所述将位于所述特定区域 中的合适的充电站推荐给所述电动车辆用于充电包括：
确定所述电动车辆的充电意图；
搜索位于所述特定区域中的充电站， 以得到多个候选充电站； 获取所述多个候选充电站各自的各个充电桩的充电轮次和当前 状态，其中，每一个充电桩的充电轮次表示该充电粧的充电时间与占 用时间之比， 以及，每一个充电桩的当前状态表示该充电粧当前是否 空闲； 以及
基于所确定的充电意图以及所获取的充电轮次和当前状态，将所 述多个候选充电站中的合适的充电站推 给所述电动车辆用于充电。
3、如权利要求 2所述的方法， 其中， 所述将所述多个候选充电 站中的合适的充电站推荐给所述电动车辆用于充电包括：
如果所确定的充电意图是充完电即走， 则基于所获取的当前状 态， 检查所述多个候选充电站中是否存在至少一个充电站， 其中， 所 述至少一个充电站各自包含多个当前空闲的充电桩； 以及
如果检查的结果为肯定，则从所述至少一个充电站中选取其与所 述电动车辆最近的充电站以推荐给所述电动车辆。
4、 如权利要求 3所述的方法， 其中， 所述将所述多个候选充电 站中的合适的充电站推荐给所述电动车辆用于充电还包括： 如果所述检査的结果为否定， 则基于所获取的充电轮次，计算所 述多个候选充电站各自的充电轮次，其中，每一个候选充电站的充电 轮次表示该候选充电站中的各个充电桩的充电轮次的均值； 以及 从所述多个候选充电站中选取其充电轮次最大的充电站以推荐 给所述电动车辆。
5、 如权利要求 2所述的方法的， 其中， 所述将所述多个候选充 电站中的合适的充电站推荐给所述电动车辆用于充电包括：
如果所确定的充电意图是充完电原地泊车，则基于所获取的充电 轮次， 计算所述多个候选充电站各自的充电轮次， 其中，每一个候选 充电站的充电轮次表示该候选充电站中的各个充电桩的充电轮次的 均值；
从所述多个候选充电站中找出其充电轮次小于充电轮次阈值的 充电站；
基于所获取的当前状态，检测所找出的充电站中是否存在一个或 多个充电站，其中，所述一个或多个充电站各自包含多个当前空闲的 充电桩； 以及 .
如果检测的结果为肯定，则从所述一个或多个充电站中选取其与 所述充电车辆最近的充电站以推荐给所述电动车辆。
6、 如权利要求 5所述的方法， 其中， 所述将所述多个候选充电 站中的合适的充电站推荐给所述电动车辆用于充电还包括：
如果所述检测的结果为否定，则从所找出的充电站中选取其充电 轮次最大的充电站以推荐给所述电动车辆。
7、 如权利要求 2所述的方法， 其中， 所述确定所述电动车辆的 充电意图包括：
基于所述电动车辆的电池的剩余电量、所述电动车辆的历史行驶 轨迹和 /或所述电动车辆的导航路线， 确定所述电动车辆的充电意图。
8、 一种用于推荐充电站的装置， 包括：
第一确定模块， 用于当接收到给电动车辆搜索充电站的请求时， 基于所述电动车辆的用户的个人偏好信息，确定所述电动车辆可到达 的且适用于所述电动车辆充电的特定 E域； 以及
第一推荐模块，用于将位于所述特定区域中的合适的充电站推荐 给所述电动车辆用于充电。
9、 如权利要求 8所述的装置， 其中， 所述第一推荐模块包括： 第二确定模块， 用于确定所述电动车辆的充电意图；
搜索模块，用于搜索位于所述电动车辆可到达的指定区域中的充 电站， 以得到多个候选充电站；
获取模块，用于获取所述多个候选充电站各自的各个充电桩的充 电轮次和当前状态，其中，每一个充电桩的充电轮次表示该充电桩的 充电时间与占用时间之比， 以及，每一个充电粧的当前状态表示该充 电桩当前是否空闲； 以及
第二推荐模块，用于基于所确定的充电意图以及所获取的充电轮 次和当前状态，将所述多个候选充电站中的合适的充电站推荐给所述 电动车辆用于充电。
10、 如权利要求 9所述的装置， 其中， 所述第二推荐模块包括： 第一检査模块，用于如果所确定的充电意图是充完电即走，则基 于所获取的当前状态，检查所述多个候选充电站中是否存在至少一个 充电站，其中，所述至少一个充电站各自包含多个当前处于空闲状态 的充电桩； 以及
第一选取模块，用于如果检査的结果为肯定， 则从所述至少一个 充电站中选取其与所述电动车辆最近的充电站以推荐给所述电动车 辆。
11、 如权利要求 10所述的装置， 其中， 所述第二推荐模块还包 括: 第一计算模块，用于如果所述检査的结果为否定， 则基于所获取 的充电轮次， 计算所述多个候选充电站各自的充电轮次， 其中， 每一 个候选充电站的充电轮次表示该候选充电站中的各个充电桩的充电 轮次的均值 ·， 以及
第二选取模块，用于从所述多个候选充电站中选取其充电轮次最 大的充电站以推荐给所述电动车辆。
12、 如权利要求 9所述的装置， 其中， 所述第二推荐模块包括： 第二计算模块， 用于如果所确定的充电意图是充完电原地泊车， 则基于所获取的充电轮次， 计算所述多个候选充电站各自的充电轮 次，其中， 每一个候选充电站的充电轮次表示该候选充电站中的各个 充电桩的充电轮次的均值；
查找模块，用于从所述多个候选充电站中找出其充电轮次小于充 电轮次阈值的充电站；
检测模块，用于基于所获取的当前状态，检测所找出的充电站中 是否存在一个或多个充电站，其中，所述一个或多个充电站各自包含 多个当前处于空闲状态的充电桩； 以及
第三选取模块，用于如果检测的结果为肯定， 则从所述一个或多 个充电站中选取其与所述充电车辆最近的充电站以推荐给所述电动 车辆。
13、 如权利要求 12所述的装置， 其中， 所述第二推荐模块还包 括：
第四选取模块，用于如果所述检测的结果为否定，则从所找出的 充电站中选取其充电轮次最大的充电站以推荐给所述电动车辆。
14、 如权利要求 9所述的装置， 其中，
所述第二确定模块进 步用于：基于所述电动车辆的电池的剩余 电量、所述电动车辆的历史行驶轨迹和 /或所述电动车辆的导航路线， 确定所述电动车辆的充电意图。
15、 一种用于推荐充电站的设备， 包括：
处理器； 以及
存储器，其上存储可执行指令，所述可执行指令当被执行时使得 所述处理器执行权利要求 1-7中的任意一个所述的方法。
16、一种机器可读存储介质， 其上存储有可执行指令， 所述可执 行指令当被执行时使得机器执行权利要求 1-7中的任意一个所述的方 法。
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