WO2018108018A1 - 用于交通工具的充电控制方法和装置 - Google Patents

用于交通工具的充电控制方法和装置 Download PDF

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Publication number
WO2018108018A1
WO2018108018A1 PCT/CN2017/114909 CN2017114909W WO2018108018A1 WO 2018108018 A1 WO2018108018 A1 WO 2018108018A1 CN 2017114909 W CN2017114909 W CN 2017114909W WO 2018108018 A1 WO2018108018 A1 WO 2018108018A1
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WO
WIPO (PCT)
Prior art keywords
vehicle
charging station
drone
charging
searched
Prior art date
Application number
PCT/CN2017/114909
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English (en)
French (fr)
Inventor
张奇伟
赵自强
高英亚
王明利
赵炳根
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比亚迪股份有限公司
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Application filed by 比亚迪股份有限公司 filed Critical 比亚迪股份有限公司
Publication of WO2018108018A1 publication Critical patent/WO2018108018A1/zh

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L50/00—Electric propulsion with power supplied within the vehicle
    • B60L50/50—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells
    • B60L50/60—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries
    • H02J7/0027—
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/44—Methods for charging or discharging
    • 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
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from 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
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using 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
    • Y02T10/70—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
    • 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
    • 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
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles

Definitions

  • the present application relates to the field of vehicles, and more particularly to the field of vehicles, and in particular to a charging control method and apparatus for a vehicle.
  • Electric vehicles have a history of development for many years. However, the short-lived mileage of electric vehicles has not been well solved.
  • an embodiment of the present application provides a charging control method for a vehicle, the method comprising:
  • the embodiment of the present application further provides a charging control apparatus for a vehicle, the apparatus comprising:
  • Obtaining a module configured to acquire a power quantity of a power battery of the vehicle
  • the drone determining module is configured to determine that the drone or the charging station drone carried by the vehicle is used to charge the vehicle when the power of the power battery is lower than a preset threshold.
  • the drone or the charging station drone carried by the vehicle can be used to charge the vehicle, thereby effectively increasing the cruising range of the vehicle. .
  • FIG. 1 is a flow chart of a charging control method for a vehicle provided by an embodiment of the present application
  • FIG. 2 is a flow chart of a charging control method for a vehicle according to still another embodiment of the present application.
  • FIG. 3 is a flowchart of a charging control method for a vehicle according to another embodiment of the present application.
  • FIG. 4 is a flowchart of a charging control method for a vehicle according to still another embodiment of the present application.
  • FIG. 5 is a flowchart of a charging control method for a vehicle according to still another embodiment of the present application.
  • FIG. 6 is a schematic block diagram of a charging control apparatus for a vehicle according to an embodiment of the present application.
  • FIG. 7 is a schematic block diagram of a charging control apparatus for a vehicle according to still another embodiment of the present application.
  • the embodiment of the present application provides a charging control method for a vehicle, which can be applied to a cloud server, and the cloud server can communicate with a vehicle to be charged, a drone, a charging station, and the like through the Internet.
  • the vehicle may be a vehicle such as an electric car.
  • the charging control method provided by the embodiment of the present application may include the following steps:
  • S101 Acquire a power quantity of a power battery of the vehicle.
  • the cloud server can obtain the power information of the power battery from the vehicle through the Internet.
  • S102 When the power of the power battery is lower than a preset threshold, determine to use the drone or charging station drone carried by the vehicle to charge the vehicle.
  • the preset threshold can be set according to actual conditions.
  • the preset threshold may be in the range of 10% to 80% of the full charge of the power battery, preferably in the range of 15% to 30%.
  • the scope is merely an example.
  • S102 it can be automatically determined according to the default setting that the vehicle is carried without The human-machine vehicle is charged or the charging station drone is used to charge the vehicle.
  • the charging station drone can be set by default to use the drone carried by the vehicle to charge the vehicle when the power of the power battery is lower than the preset threshold, and then use the charging when the drone carried by the vehicle cannot complete the charging task.
  • the station drone charges the vehicle.
  • the charging request may be first sent to the driver through the display instrument of the vehicle, and after the driver agrees to charge the vehicle, the driver may display the power-taking option, and then determine the use of the traffic according to the driver's choice. Whether the drone carried by the tool charges the vehicle or the charging station drone charges the vehicle.
  • the power-taking options may include, but are not limited to, the following: the drone pick-up option carried by the vehicle, the drone pick-up option of the charging station, and the charging option to the charging station.
  • the drone or the charging station drone carried by the vehicle is used to charge the vehicle, thereby effectively increasing the cruising range of the vehicle.
  • the vehicle is a pure electric vehicle, it is even possible to achieve unlimited running of a pure electric vehicle.
  • the technical solution is also capable of reducing the volume of the vehicle power battery, contributing to energy saving of the vehicle, and reducing its weight, and correspondingly shortening the charging time of the vehicle.
  • the charging method is convenient and quick, there is no need to drive to the charging station to charge the vehicle, so it is also possible to avoid wasting time caused by charging in the charging station.
  • the method may further include the following steps S201 to S203.
  • the driving information may include a driving route and a traveling speed, and the traveling speed of the vehicle may be zero or greater than zero.
  • the traveling speed of the vehicle When the driving speed of the vehicle is zero, the vehicle is parking charging; when the traveling speed of the vehicle is greater than zero, the vehicle is driving charging.
  • the cruising range m of the drone carried by the tool is used to select one of the charging stations as the target charging station;
  • a power take-up command is sent to a drone carried by the vehicle to charge the vehicle by a drone carried by the vehicle, the power take-up instruction including about the target charging station Information.
  • the drone carried by the vehicle can be sent to a suitable target charging station to collect power to charge the vehicle, thereby effectively improving the cruising range of the vehicle.
  • the charging station may include the following steps S301 to S304.
  • a charging station is searched based on the current location and the travel information.
  • the cloud server may search for a charging station whose distance from the current location of the vehicle is less than a preset distance. Moreover, the searched charging station can be located in front of or behind the direction of travel of the vehicle.
  • the cloud server may search for a charging station that is less than the preset distance from the current location of the vehicle and that is located in front of the direction of travel. This can reduce the flight distance of the drone carried by the vehicle as much as possible, and improve the charging efficiency.
  • the cloud server when the cloud server searches for the charging station, it can search for the charging station based on the locally stored charging station database, or search the charging station by searching the charging station database stored in other devices through the Internet.
  • search method is only an example, and the search method does not limit the search mode, and any search method capable of searching for the charging station can be performed.
  • a distance m1 of the drone carried by the vehicle from the vehicle to the searched respective charging stations and a distance m2 from the searched respective charging stations to the vehicle are determined.
  • the m2 can be estimated based on the current location of the vehicle, the traveling speed, the driving route, the flight time required by the drone carried by the vehicle to each of the searched charging stations, and the like.
  • the power required for the drone of the vehicle to fly by itself is a low-voltage power source
  • the power source for charging the vehicle is a high-voltage power source
  • the cruising range m3 can be based on the charging time T of the high-voltage power source and the charging rate of the low-voltage power source.
  • the power source can both charge the vehicle and provide the energy required for the drone of the vehicle to carry the vehicle through the voltage conversion module, then the vehicle The cruising range m3 that the carried drone can replenish at each of the searched charging stations is actually very large.
  • one of the searched charging stations satisfying the condition of (m+m3) ⁇ x(m1+m2) and m ⁇ m1 is selected as the target charging station, where x is a coefficient greater than one. .
  • x can be selected to be a value of 1.25 or more.
  • the purpose of setting (m+m3) ⁇ x(m1+m2) and m ⁇ m1 is to ensure that the carrying capacity of the drone carried by the vehicle can both cause the drone carried by the vehicle to fly to the charging.
  • the station takes power and ensures that the drone carried by the vehicle returns to the vehicle from the charging station.
  • a drone carried by a vehicle has two power sources, that is, one of the power sources is a low-voltage power source, which is used to provide energy required for the drone carried by the vehicle to fly by itself, and the other is a high-voltage power source.
  • the power consumption of the low-voltage power supply of the drone carried by the vehicle needs to ensure that the drone carried by the vehicle flies to the charging station to take power and ensures traffic.
  • the drone carried by the tool returns to the vehicle from the charging station.
  • the high-voltage power supply of the drone carried by the vehicle can charge the low-voltage power supply
  • the sum of the load capacities of the high-voltage power supply and the low-voltage power supply needs to satisfy the drone that can ensure that the vehicle carries the fly to the charging station to take power. It is also possible to ensure that the drone carried by the vehicle returns to the vehicle from the charging station.
  • the power source can both charge the vehicle, and can provide the low-voltage energy required for the drone of the vehicle to carry the flight through the voltage conversion module.
  • the drone carried by the vehicle can fly to the charging station to take power and return to the vehicle from the charging station.
  • the drone that is carried by the vehicle at the charging station is sufficient to cause the drone carried by the vehicle to return to the vehicle and charge the vehicle.
  • the drone carried by the vehicle can be made to fly to a reasonable charging station to take power, and return to the vehicle to charge the vehicle, and improve the cruising range of the vehicle.
  • one of the searched charging stations that satisfies the condition of (m+m3) ⁇ x(m1+m2) and m ⁇ m1 is selected as the target charging station. This can be done based on any of the following:
  • the cloud server may select the target charging station in the order of (m1+m2) from small to large, for example, selecting a charging station that minimizes (m1+m2) as the target charging station, and the target charging station is preferably located in the traveling direction of the vehicle. In front. In this way, the cruising range of the vehicle can be improved, the flying distance of the drone carried by the vehicle can be minimized, energy consumption can be saved, and the efficiency of charging the vehicle can be improved.
  • the cloud server may not select the charging station that minimizes (m1+m2) as the target charging station.
  • the charging station that satisfies the condition of (m+m3) ⁇ x(m1+m2) and m ⁇ m1 may be first displayed to the driver in the order of (m1+m2) from small to large by the display instrument of the vehicle.
  • the cloud server can determine the target charging station based on the user's selection.
  • the cloud server may be based on the user input charging station drone A power take command or default setting determines to charge the vehicle using the charging station drone. That is, in this case, the cloud server can automatically determine to charge the vehicle using the charging station drone.
  • the cloud server first informs the driver through the display instrument of the vehicle that the unmanned aerial vehicle carrying the vehicle cannot be used to charge the vehicle, and provides the driver with the charging station drone power selection option, driving to the charging station charging option, etc. If the driver selects the charging station drone power-off option, the cloud server can determine to use the charging station drone to charge the vehicle.
  • the cloud server determines to use the charging station.
  • the method according to the embodiment of the present application may further include the following S401 to S403.
  • the cloud server may send an acquisition request to the vehicle via the Internet to obtain the current location of the vehicle, the required power, and the driving information. It is also possible that the vehicle periodically feeds back to the cloud server its current location, required power and driving information.
  • the travel information may include a travel route and a travel speed. If the driving speed is zero, the vehicle is parking charging, and if the driving speed is greater than zero, the vehicle is charging.
  • the charging station drone is searched based on the current location of the vehicle and the driving information.
  • the cloud server may search for a charging station drone whose distance from the current location of the vehicle is less than a preset distance, and the searched charging station drone may be located in front of the driving direction of the vehicle. Or rear.
  • the cloud server may search for a charging station drone that is less than a preset distance from the current location of the vehicle and is located in front of the vehicle to reduce the flight of the charging station drone. Distance and increase the efficiency of charging the vehicle.
  • the cloud server can search for charging station drones based on a charging station drone database stored locally or located on other devices.
  • the charging station drone may be a charging station drone currently located in the charging station, or may be a charging station drone that has been charged for other vehicles but has not returned to the charging station.
  • the charging station drone in the process of performing the charging task for the vehicle, the charging station drone preferably transmits its own location information, the amount of power amount information, and the like to the cloud server in real time, so that the cloud server can perform the charging station in real time. The machine is monitored.
  • the target charging station drone is selected from the searched charging station drones to charge the vehicle.
  • selecting a target charging station drone from the searched charging station drones in S403 to charge the vehicle may include the following steps S501 to S504.
  • the cruising range n of the searched individual charging station drones is determined.
  • the cloud server may first obtain the searched power amount of each charging station drone, and then determine the cruising range of each charging station drone based on the load capacity and the power consumption of the unit cruising range of each charging station drone. n.
  • the distance n1 of the searched respective charging station drones flying to the vehicle is determined.
  • n1 is the distance between the current location of the vehicle and the current location of the charging station drone.
  • n1 is merely an example. In fact, any manner in which n1 can be determined is feasible, and the embodiment of the present application does not limit this.
  • the distance n2 of the searched respective charging station drones from the vehicle to the nearest charging station after the vehicle is fully charged is determined.
  • n2 may be determined based on the distance between the current location of the vehicle and the nearest charging station.
  • the cloud server may first determine the time t1 required for the charging station drone to meet with the vehicle based on the current position and flight speed of the charging station drone and the current position and traveling speed of the vehicle. The amount of charge and the charging speed of the vehicle are determined to the time t2 required to charge the vehicle, and then the position of the charging station drone at the time of charging is estimated based on t1 and t2 and the traveling speed of the vehicle, and finally based on the estimation The distance between the location and the nearest charging station determines n2.
  • y is a factor greater than one.
  • y can be selected as a value of 1.25 or more.
  • n ⁇ y(n1+n2) The purpose of setting the condition n ⁇ y(n1+n2) is to ensure that the charging capacity of the charging station drone can enable the charging station drone to fly to the vehicle and ensure that the charging station drone can charge the vehicle after it is fully charged. Return to the nearest charging station from the vehicle.
  • the charging station drone has two power sources, that is, one of the power sources is a low-voltage power source, which is used to provide the energy required for the charging station drone to fly by itself, and the other is a high-voltage power source for charging the vehicle.
  • the charging capacity of the low-voltage power supply of the charging station drone needs to satisfy the requirements that both the charging station drone can fly to the vehicle and the charging station drone can be charged after the vehicle is fully charged. Return to the nearest charging station.
  • the high-voltage power supply of the charging station drone can charge the low-voltage power supply
  • the sum of the power-carrying power of the high-voltage power supply and the low-voltage power supply needs to satisfy both the charging station drone flying to the vehicle and the charging station drone. Return to the nearest charging station from the vehicle after charging the vehicle.
  • the power source can both charge the vehicle and provide the low voltage energy required for the charging station drone to fly through the voltage conversion module.
  • the power supply of the power supply needs to meet the requirements of both the charging station drone flying to the vehicle and the charging station drone to return the vehicle to the nearest charging station after charging the vehicle.
  • the selecting a target charging station drone from the searched charging station drones satisfying the condition of n ⁇ y(n1+n2) may charge the vehicle Based on one of the following:
  • the cloud server may first determine whether the amount of charge of the searched charging station drone that satisfies the condition of n ⁇ y(n1+n2) is greater than the required amount of power of the vehicle;
  • the target charging station drone is selected from the charging station drones whose charging capacity is greater than the vehicle demand and meets the condition of n ⁇ y(n1+n2) according to the sequence of (n1+n2) from small to large;
  • the vehicle is based on the required power of the vehicle, according to (n1+n2)
  • the order from small to large or the order of the amount of charge from the largest to the smallest select one or more target charging station drones from the charging station drone that satisfies the condition of n ⁇ y (n1 + n2) to charge the vehicle.
  • the selected charging station drone's load capacity needs to be greater than the preset power, for example, the preset power can be set to be within 30% to 90% of the charging station drone full power, because if dispatched It is meaningless to charge the vehicle with a charging station drone that is too small.
  • the cloud server may first determine whether the amount of charge of the searched charging station drone that satisfies the condition of n ⁇ y(n1+n2) is greater than the required amount of power of the vehicle;
  • charging station drone If there is a charging station drone whose carrying capacity is greater than the required power of the vehicle and satisfies the condition of n ⁇ y(n1+n2), it can be displayed to the driver in the order of (n1+n2) from small to large by the display instrument of the vehicle.
  • the searched charging station drone with a load capacity greater than the vehicle demand and satisfying the condition of n ⁇ y(n1+n2), after the driver makes a selection, determine which charging station drone to use based on the driver's selection. Charging the vehicle;
  • the vehicle can be displayed by the display instrument of the vehicle (n1+n2).
  • the searched charging station drone that satisfies the condition of n ⁇ y (n1 + n2) is displayed to the driver in descending order or from the order of the amount of electric load, after the driver makes a choice, based on the driver The choice is to determine which charging station or drones to use to charge the vehicle.
  • the selected charging station drone's load capacity needs to be greater than the preset power, for example, the preset power can be set to be within 30% to 90% of the charging station drone full power, because if dispatched It is meaningless to charge the vehicle with a charging station drone that is too small.
  • the cloud server can indicate to the driver through the display instrument of the vehicle that the charging station drone cannot be used to charge the vehicle.
  • the embodiment of the present application further provides a charging control apparatus for a vehicle, which can be applied to a cloud server.
  • the apparatus may include:
  • An obtaining module 601, configured to acquire a power quantity of a power battery of the vehicle
  • the drone determination module 602 is configured to determine to use the drone or charging station drone carried by the vehicle to charge the vehicle when the power of the power battery is lower than a preset threshold.
  • the drone or the charging station drone carried by the vehicle can be used to charge the vehicle, thereby effectively increasing the cruising range of the vehicle.
  • the vehicle is a pure electric vehicle, it is even possible to achieve unlimited running of a pure electric vehicle.
  • the technical solution is also capable of reducing the volume of the vehicle power battery, contributing to energy saving of the vehicle, and reducing its weight, and correspondingly shortening the charging time of the vehicle.
  • the charging method is convenient and quick, there is no need to drive to the charging station to charge the vehicle, so it is also possible to avoid wasting time caused by charging in the charging station.
  • the acquiring module 601 may further be configured to acquire the The current location and driving information of the vehicle and the cruising range m of the drone carried by the vehicle; as shown in FIG. 7, the apparatus may further include:
  • the charging station selection module 603 is configured to select one of the charging stations as the target charging station based on the information acquired by the obtaining module 601;
  • the power-off instruction sending module 604 is configured to send a power-off instruction to the drone carried by the vehicle, so that the drone carried by the vehicle charges the vehicle, and the power-taking instruction includes The information of the target charging station.
  • the charging station selection module 603 selects one of the charging stations as the target charging station based on the information acquired by the obtaining module 601, and may include:
  • One of the searched charging stations that satisfies (m + m3) ⁇ x (m1 + m2) and m ⁇ m1 is selected as the target charging station, where x is a coefficient greater than one.
  • the charging station selection module 603 selects one of the charging stations from the searched charging stations that satisfy the condition of (m+m3) ⁇ x(m1+m2) and m ⁇ m1 based on one of the following. Station as the target charging station:
  • the drone determination module 602 can also be used to:
  • the charging of the charging station drone based on the user input or the default setting determines to use the charging.
  • the station drone charges the vehicle.
  • the acquiring module 601 may further be configured to acquire the vehicle.
  • the current location, the required power, and the driving information; as shown in FIG. 7, the device may further include:
  • a charging station drone search module 605, configured to search for a charging station drone based on information acquired by the obtaining module 601;
  • the charging station drone selection module 606 is configured to select a target charging station drone from the charging station drones searched by the charging station drone search module 605 to charge the vehicle.
  • the charging station drone selection module 606 selects a target charging station drone from the charging station drones searched by the charging station drone search module 605 to charge the vehicle.
  • a target charging station drone is selected from the searched charging station drones satisfying the condition of n ⁇ y (n1 + n2) to charge the vehicle, where y is a coefficient greater than one.
  • the charging station drone selection module 606 can select a target charging station from the searched charging station drones that satisfy the condition of n ⁇ y(n1+n2) based on one of the following.
  • the drone charges the vehicle:
  • the vehicle referred to in the embodiment of the present application may be a vehicle such as a pure electric vehicle, a hybrid vehicle, or the like.

Abstract

一种用于交通工具的充电控制方法和装置，其能够有效地增加交通工具的续航里程。该方法包括：获取所述交通工具的动力电池的电量（S101）；在所述动力电池的电量低于预设阈值时，确定使用交通工具携载的无人机或充电站无人机为所述交通工具充电（S102）。

Description

用于交通工具的充电控制方法和装置
本申请要求于2016年12月15日提交中国专利局、申请号为201611162082.5、发明名称为“用于交通工具的充电控制方法和装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及交通工具领域，尤其涉及车辆领域，具体地，涉及一种用于交通工具的充电控制方法和装置。
背景技术
电动汽车已经有多年的发展历史，然而，电动汽车的续航里程短等问题一直没有得到很好的解决。
发明内容
本申请的目的是提供一种用于交通工具的充电控制方法和装置，其能够有效地增加交通工具的续航里程。
为了实现上述目的，本申请实施例提供一种用于交通工具的充电控制方法，该方法包括：
获取所述交通工具的动力电池的电量；
当所述动力电池的电量低于预设阈值时，确定使用所述交通工具携载的无人机或充电站无人机为所述交通工具充电。
本申请实施例还提供一种用于交通工具的充电控制装置，该装置包括：
获取模块，用于获取所述交通工具的动力电池的电量；
无人机确定模块，用于当所述动力电池的电量低于预设阈值时，确定使用所述交通工具携载的无人机或充电站无人机为所述交通工具充电。
通过上述技术方案，能够在交通工具的动力电池电量低于预设阈值时，利用交通工具携载的无人机或充电站无人机为交通工具充电，从而有效地增加了交通工具的续航里程。
本申请实施例的其他特征和优点将在随后的具体实施方式部分予以详细说明。
附图说明
图1是本申请一种实施例提供的用于交通工具的充电控制方法的流程图；
图2是根据本申请又一实施例提供的用于交通工具的充电控制方法的流程图；
图3是根据本申请另一实施例提供的用于交通工具的充电控制方法的流程图；
图4是根据本申请再一实施例提供的用于交通工具的充电控制方法的流程图；
图5是根据本申请又一实施例提供的用于交通工具的充电控制方法的流程图；
图6是根据本申请一种实施例提供的用于交通工具的充电控制装置的示意框图；
图7是根据本申请又一实施例提供的用于交通工具的充电控制装置的示意框图。
具体实施方式
以下结合附图对本申请实施例的具体实施方式进行详细说明。应当理解的是，此处所描述的具体实施方式仅用于说明和解释本申请实施例，并不用于限制本申请实施例。
本申请实施例提供一种用于交通工具的充电控制方法，该方法可以应用于云服务器，该云服务器可以通过互联网分别与待充电交通工具、无人机、充电站等进行通信。该交通工具可以为电动汽车等车辆。
如图1所示，本申请实施例提供的充电控制方法可以包括以下步骤：
S101：获取所述交通工具的动力电池的电量。
其中，云服务器可以通过互联网从交通工具获得其动力电池的电量信息。
S102：当所述动力电池的电量低于预设阈值时，确定使用交通工具携载的无人机或充电站无人机为所述交通工具充电。
其中，预设阈值可以依据实际情况进行设置。例如，预设阈值可以位于动力电池满电量的10％～80％的范围内，优选位于15％～30％的范围内。本领域技术人员应当理解的是，该范围仅是示例。
另外，在S102中，可以依据默认设置自动确定是使用交通工具携载的无 人机交通工具充电还是使用充电站无人机为交通工具充电。例如，可以默认设置为当动力电池的电量低于预设阈值时，首先使用交通工具携载的无人机为交通工具充电，当交通工具携载的无人机无法完成充电任务时再使用充电站无人机为交通工具充电。
当然，S102中，还可以首先通过交通工具的显示仪表向驾驶员发出充电请求，驾驶员同意为交通工具充电之后，再向驾驶员显示取电选项，进而依据驾驶员的选择来确定是使用交通工具携载的无人机为交通工具充电还是充电站无人机为交通工具充电。
其中，取电选项可以包括但不限于以下几种：交通工具携载的无人机取电选项、充电站无人机取电选项和开车到充电站充电选项等。
通过S101和S102，当交通工具的动力电池电量低于预设阈值时，利用交通工具携载的无人机或充电站无人机为交通工具充电，从而有效地增加交通工具的续航里程。当交通工具是纯电动汽车时，甚至有可能实现纯电动汽车的无限续航行驶。另外，该技术方案还能够减小交通工具动力电池的体积，有助于交通工具的节能，并且减轻其重量，并能够相应地缩短交通工具的充电时间。另外，由于该充电方式方便快捷，无需开车到充电站为交通工具充电，因此还能够避免在充电站排队充电导致的时间浪费。
在一种可能的实施方式中，当S102中确定使用所述交通工具携载的无人机为所述交通工具充电时，如图2所示，该方法还可以包括以下步骤S201至S203。
在S201中，获取所述交通工具的当前位置和行驶信息以及所述交通工具携载的无人机的可续航里程m。
其中，行驶信息可以包括行驶路线和行驶速度，而且交通工具的行驶速度可以为零或者大于零。当交通工具的行驶速度为零时，交通工具是停车充电；当交通工具的行驶速度大于零时，交通工具是行车充电。
交通工具携载的无人机的可续航里程m可以基于交通工具携载的无人机的载电量和单位续航里程的电量消耗来预估，例如假设交通工具携载的无人机的目前载电量为S，单位续航里程的电量消耗为A，则m＝S/A。
在S202中，基于所获取的交通工具的当前位置和行驶信息以及所述交通 工具携载的无人机的可续航里程m来选择其中一个充电站作为目标充电站；
在S203中，向所述交通工具携载的无人机发送取电指令以便由所述交通工具携载的无人机为所述交通工具充电，所述取电指令包括关于所述目标充电站的信息。
通过步骤S201至S203，能够使交通工具携载的无人机飞往合适的目标充电站去取电，以便为交通工具充电，有效地提高交通工具的续航里程。
在一种可能的实施方式中，如图3所示，S202中的基于所获取的交通工具的当前位置和行驶信息以及所述交通工具携载的无人机的可续航里程m来选择其中一个充电站作为目标充电站，可以包括以下步骤S301至S304。
在S301中，基于所述当前位置和所述行驶信息搜索充电站。
在S301中，当交通工具是停车充电时，例如云服务器可以搜索与交通工具的当前位置的距离小于预设距离的充电站。而且，搜索到的充电站可以位于交通工具行驶方向的前方或后方。
另外，若交通工具是行车充电，例如云服务器可以搜索与交通工具的当前位置的距离小于预设距离且位于行驶方向的前方的充电站。这样能够尽可能地减小交通工具携载的无人机的飞行距离，提高充电效率。
另外，云服务器搜索充电站时可以基于本地存储的充电站数据库搜索充电站，也可以通过互联网搜索其他设备中存储的充电站数据库来搜索充电站。
而且，以上搜索方式仅是示例，本申请实施例不对搜索方式进行限制，任何能够搜索到充电站的搜索方式均可行。
在S302中，确定所述交通工具携载的无人机从所述交通工具飞到搜索到的各个充电站的距离m1和从搜索到的各个充电站返回所述交通工具的距离m2。
当交通工具是停车充电时，即在交通工具携载的无人机飞向充电站去取电的过程中交通工具是停止行驶时，m1＝m2。
当交通工具是行车充电时，即在交通工具携载的无人机飞向充电站去取电的过程中交通工具仍然在行驶，则m1与m2之间没有关系。m2可以依据交通工具的当前位置、行驶速度、行驶路线、交通工具携载的无人机飞到搜索到的各个充电站所需的飞行时间等进行预估。
在S303中，确定所述交通工具携载的无人机在搜索到的各个充电站能补充的续航里程m3。
通常，交通工具携载的无人机自身飞行所需的电源是低压电源，而为交通工具充电的电源是高压电源，因此该续航里程m3可以依据高压电源的充电时间T、低压电源的充电速率V和交通工具携载的无人机的单位续航里程的电量消耗H来确定，例如m3＝TV/H。
另外，若交通工具携载的无人机自身只有一个电源，该电源既能够为交通工具充电，又能够通过电压转换模块来提供交通工具携载的无人机飞行所需的能量，则交通工具携载的无人机在搜索到的各个充电站能补充的续航里程m3实际上是非常大的。
在S304中，从满足(m+m3)≥x(m1+m2)且m≥m1条件的搜索到的充电站中选择其中一个充电站作为所述目标充电站，其中，x是大于1的系数。另外，x越大，交通工具携载的无人机完成充电任务的安全性就越大，例如，x可以选为1.25或更大的数值。
其中，设置(m+m3)≥x(m1+m2)且m≥m1条件的目的是为了确保交通工具携载的无人机的载电量既能够使交通工具携载的无人机飞到充电站取电又能够确保交通工具携载的无人机从充电站返回交通工具。
例如，当交通工具携载的无人机具备两个电源时，也即其中一个电源是低压电源，用于提供交通工具携载的无人机自身飞行所需的能量，另一个是高压电源，用于为交通工具充电，则在这种情况下，交通工具携载的无人机的低压电源的载电量需要既能够确保交通工具携载的无人机飞到充电站取电又能够确保交通工具携载的无人机从充电站返回交通工具。当然，若交通工具携载的无人机的高压电源能够为低压电源充电，则高压电源和低压电源的载电量之和需要满足既能够确保交通工具携载的无人机飞到充电站取电又能够确保交通工具携载的无人机从充电站返回交通工具。
再例如，当交通工具携载的无人机自身只有一个电源时，也即该电源既能够为交通工具充电，又能够通过电压转换模块提供交通工具携载的无人机飞行所需的低压能量，则在这种情况下，其实只要满足m≥m1条件就能够使得交通工具携载的无人机既能够飞到充电站取电又能够从充电站返回交通工具，原因 在于交通工具携载的无人机在充电站的取电量足够使交通工具携载的无人机返回交通工具又给交通工具充电。
通过S301至S304，能够使交通工具携载的无人机飞向合理的充电站去取电，并且返回交通工具以便为交通工具充电，提高交通工具的续航里程。
在一种可能的实施方式中，在S304中，从满足(m+m3)≥x(m1+m2)且m≥m1条件的搜索到的充电站中选择其中一个充电站作为所述目标充电站可以基于以下任一种来完成：
(1)所述动力电池的电量、所述行驶信息以及各个(m1+m2)的大小中的至少一者。
例如，云服务器可以按照(m1+m2)从小到大的顺序来选择目标充电站，例如选择使(m1+m2)最小的充电站作为目标充电站，而且目标充电站优选位于交通工具行驶方向的前方。这样，既能够提高交通工具的续航里程，又能够使交通工具携载的无人机的飞行距离最小，节省能耗，提高为交通工具充电的效率。
再例如，若动力电池的电量能够使交通工具行驶一定的距离，则云服务器也可以不选择使(m1+m2)最小的充电站作为目标充电站。
(2)用户输入的目标充电站选择指令。
在这种情况下，可以首先通过交通工具的显示仪表按照(m1+m2)从小到大的顺序向驾驶员显示满足(m+m3)≥x(m1+m2)且m≥m1条件的充电站，待驾驶员做出选择之后，云服务器就可以基于用户的选择来确定目标充电站。
在一种可能的实施方式中，在搜索到的充电站中没有一个满足(m+m3)≥x(m1+m2)且m≥m1条件时，云服务器可以基于用户输入的充电站无人机取电指令或者默认设置来确定使用所述充电站无人机为所述交通工具充电。也即，在这种情况下，云服务器可以自动地确定使用充电站无人机为交通工具充电。或者，云服务器首先通过交通工具的显示仪表告知驾驶员无法使用交通工具携载的无人机为交通工具充电，并向驾驶员提供充电站无人机取电选项、开车到充电站充电选项等，若驾驶员选择了充电站无人机取电选项，则云服务器就可以确定使用充电站无人机为交通工具充电。
在一种可能的实施方式中，如图4所示，在云服务器确定使用所述充电站 无人机为所述交通工具充电时，根据本申请实施例的方法还可以包括以下S401至S403。
在S401中，获取所述交通工具的当前位置、需求电量和行驶信息。
其中，在该步骤中，云服务器可以通过互联网向交通工具发送获取请求，以获取交通工具的当前位置、需求电量和行驶信息。也可以是，交通工具定期向云服务器反馈其当前位置、需求电量和行驶信息。
另外，行驶信息可以包括行驶路线和行驶速度。若行驶速度为零，则交通工具是停车充电，若行驶速度大于零，则交通工具是行车充电。
在S402中，基于所述交通工具的当前位置和行驶信息来搜索充电站无人机。
例如，若交通工具是停车充电，则云服务器可以搜索与交通工具的当前位置的距离小于预设距离的充电站无人机，且搜索到的充电站无人机可以位于交通工具行驶方向的前方或后方。
再例如，若交通工具是行车充电，则云服务器可以搜索与交通工具的当前位置的距离小于预设距离且位于交通工具行驶前方的充电站无人机，以减小充电站无人机的飞行距离，并提高为交通工具充电的效率。
另外，云服务器可以基于本地存储的或者位于其他设备上的充电站无人机数据库来搜索充电站无人机。而且，充电站无人机可以是目前位于充电站内的充电站无人机，也可以是为其他交通工具充完电但尚未返回充电站的充电站无人机。另外，充电站无人机在执行给交通工具的充电任务的过程中，优选实时地将其自身的位置信息、载电量信息等发送给云服务器，以便于云服务器能够实时地对充电站无人机进行监控。
在S403中，从搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电。
通过S401至S403，就能够选择合适的充电站无人机为交通工具充电，有效地提高交通工具的续航里程。
在一种可能的实施方式中，如图5所示，S403中的从搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电，可以包括以下步骤S501至S504。
在S501中，确定搜索到的各个充电站无人机的可续航里程n。
其中，云服务器可以首先获取搜索到的各个充电站无人机的载电量，然后基于载电量和各个充电站无人机的单位续航里程的电量消耗来确定各个充电站无人机的可续航里程n。
在S502中，基于搜索到的各个充电站无人机的当前位置和所述交通工具的当前位置与行驶信息，确定搜索到的各个充电站无人机飞到所述交通工具的距离n1。
例如，若交通工具是停车充电，则n1为交通工具的当前位置与充电站无人机的当前位置之间的距离。
再例如，若交通工具是行车充电，则n1与交通工具和充电站无人机的行驶速度有关。举例而言，若充电站无人机位于交通工具行驶的前方，交通工具的行驶速度是V1，充电站无人机的飞行速度是V2，交通工具的当前位置与充电站无人机的当前位置之间的距离是N，则n1＝NV2/(V1+V2)。
本领域技术人员应当理解的是，以上关于n1的确定方式仅是示例。实际上，任何能够确定n1的方式都是可行的，本申请实施例不对此进行限制。
在S503中，基于所述交通工具的当前位置与行驶信息，确定搜索到的各个充电站无人机为所述交通工具充完电后从所述交通工具返回最近充电站的距离n2。
其中，若交通工具是停车充电，则n2可以基于交通工具的当前位置与最近充电站之间的距离来确定。
若交通工具是行车充电，则云服务器可以首先基于充电站无人机的当前位置和飞行速度以及交通工具的当前位置和行驶速度确定充电站无人机与交通工具汇合所需的时间t1、基于给交通工具的充电量和充电速度确定给交通工具充电所需的时间t2，然后基于t1和t2以及交通工具的行驶速度预估充完电时充电站无人机的位置，最后基于该预估的位置与最近充电站之间的距离来确定n2。
本领域技术人员应当理解的是，上述关于t2的确定方式仅是示例，本申请实施例不限制具体的确定方式。
在S504中，从满足n≥y(n1+n2)条件的搜索到的充电站无人机中选择目 标充电站无人机为所述交通工具充电，其中y是大于1的系数。另外，y越大，充电站无人机完成充电任务的安全性就越大，例如，y可以选为1.25或更大的数值。
设置n≥y(n1+n2)条件的目的是为了确保充电站无人机的载电量既能够使充电站无人机飞到交通工具又确保充电站无人机给交通工具充完电之后能够从交通工具返回最近充电站。
例如，若充电站无人机具备两个电源，也即其中一个电源是低压电源，用于提供充电站无人机自身飞行所需的能量，另一个是高压电源，用于为交通工具充电，则在这种情况下，充电站无人机的低压电源的载电量需要满足既能够使充电站无人机飞到交通工具又能够确保充电站无人机给交通工具充完电之后从交通工具返回最近充电站。当然，若充电站无人机的高压电源能够给低压电源充电，则高压电源和低压电源的载电量之和需要满足既能够使充电站无人机飞到交通工具又能够确保充电站无人机给交通工具充完电之后从交通工具返回最近充电站。
再例如，当充电站无人机自身只有一个电源时，也即该电源既能够为交通工具充电，又能够通过电压转换模块提供充电站无人机飞行所需的低压能量，则在这种情况下，该电源的载电量需要满足既能够使充电站无人机飞到交通工具又能够确保充电站无人机给交通工具充完电之后从交通工具返回最近充电站。
通过S501至S504，就能够选择合适的充电站无人机为交通工具充电，提高交通工具的续航里程，增加交通工具充电的便利性和快捷性。
在一种可能的实施方式中，在S504中，所述从满足n≥y(n1+n2)条件的搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电可以基于以下一者来完成：
(1)各个(n1+n2)的大小、满足n≥y(n1+n2)条件的搜索到的充电站无人机的载电量和所述交通工具的需求电量。
例如，云服务器可以首先确定满足n≥y(n1+n2)条件的搜索到的充电站无人机的载电量是否大于交通工具的需求电量；
若存在载电量大于交通工具需求电量且满足n≥y(n1+n2)条件的充电站 无人机，则按照(n1+n2)从小到大的顺序从载电量大于交通工具需求电量且满足n≥y(n1+n2)条件的充电站无人机中选择目标充电站无人机；
若满足n≥y(n1+n2)条件的搜索到的充电站无人机中没有一个充电站无人机的载电量大于交通工具需求电量，则基于交通工具的需求电量、按照(n1+n2)从小到大的顺序或者载电量从大到小的顺序从满足n≥y(n1+n2)条件的充电站无人机中选择一个或多个目标充电站无人机为交通工具充电。而且，被选择的充电站无人机的载电量需要大于预设电量，例如该预设电量可以被设置成位于充电站无人机满电量的30％至90％的范围内，因为如果派遣载电量太小的充电站无人机为交通工具充电是没有意义的。
(2)用户输入的充电站无人机选择指令。
例如，云服务器可以首先确定满足n≥y(n1+n2)条件的搜索到的充电站无人机的载电量是否大于交通工具的需求电量；
若存在载电量大于交通工具需求电量且满足n≥y(n1+n2)条件的充电站无人机，则可以通过交通工具的显示仪表按照(n1+n2)从小到大的顺序向驾驶员显示载电量大于交通工具需求电量且满足n≥y(n1+n2)条件的搜索到的充电站无人机，待驾驶员做出选择之后，基于驾驶员的选择来确定使用哪个充电站无人机为交通工具充电；
若满足n≥y(n1+n2)条件的搜索到的充电站无人机中没有一个充电站无人机的载电量大于交通工具需求电量，则可以通过交通工具的显示仪表按照(n1+n2)从小到大的顺序或者载电量从大到小的顺序向驾驶员显示满足n≥y(n1+n2)条件的搜索到的充电站无人机，待驾驶员做出选择之后，基于驾驶员的选择来确定使用哪些或哪个充电站无人机为交通工具充电。而且，被选择的充电站无人机的载电量需要大于预设电量，例如该预设电量可以被设置成位于充电站无人机满电量的30％至90％的范围内，因为如果派遣载电量太小的充电站无人机为交通工具充电是没有意义的。
本领域技术人员应当理解的是，上述关于目标充电站无人机的选择方式仅是示例，本申请实施例不对各种选择方式进行限制，只要能够选择为交通工具充电的充电站无人机即可。
在一种可能的实施方式中，若搜索到的充电站无人机中没有一个满足条件 n≥y(n1+n2)，则云服务器可以通过交通工具的显示仪表向驾驶员提示无法利用充电站无人机为交通工具充电。
基于以上实施例提供的一种用于交通工具的充电控制方法，本申请实施例还提供一种用于交通工具的充电控制装置，该装置可以应用于云服务器。
如图6所示，该装置可以包括：
获取模块601，用于获取所述交通工具的动力电池的电量；
无人机确定模块602，用于在所述动力电池的电量低于预设阈值时，确定使用交通工具携载的无人机或充电站无人机为所述交通工具充电。
通过该技术方案，能够在交通工具的动力电池电量低于预设阈值时，利用交通工具携载的无人机或充电站无人机为交通工具充电，从而有效增加交通工具的续航里程，在交通工具是纯电动汽车时，甚至有可能实现纯电动汽车的无限续航行驶。另外，该技术方案还能够减小交通工具动力电池的体积，有助于交通工具的节能，并且减轻其重量，并能够相应地缩短交通工具的充电时间。另外，由于该充电方式方便快捷，无需开车到充电站为交通工具充电，因此还能够避免在充电站排队充电导致的时间浪费。
在一种可能的实施方式中，在所述无人机确定模块602确定使用所述交通工具携载的无人机为所述交通工具充电时，所述获取模块601还可以用于获取所述交通工具的当前位置和行驶信息以及所述交通工具携载的无人机的可续航里程m；如图7所示，该装置还可以包括：
充电站选择模块603，用于基于所述获取模块601所获取的信息来选择其中一个充电站作为目标充电站；
取电指令发送模块604，用于向所述交通工具携载的无人机发送取电指令以便由所述交通工具携载的无人机为所述交通工具充电，所述取电指令包括关于所述目标充电站的信息。
在一种可能的实施方式中，所述充电站选择模块603基于所述获取模块601所获取的信息来选择其中一个充电站作为目标充电站，可以包括：
基于所述当前位置和所述行驶信息搜索充电站；
确定所述交通工具携载的无人机从所述交通工具飞到搜索到的各个充电站的距离m1和从搜索到的各个充电站返回所述交通工具的距离m2；
确定所述交通工具携载的无人机在搜索到的各个充电站能补充的续航里程m3；
从满足(m+m3)≥x(m1+m2)且m≥m1条件的搜索到的充电站中选择其中一个充电站作为所述目标充电站，其中，x是大于1的系数。
在一种可能的实施方式中，所述充电站选择模块603基于以下一者从满足(m+m3)≥x(m1+m2)且m≥m1条件的搜索到的充电站中选择其中一个充电站作为所述目标充电站：
(1)所述动力电池的电量、所述行驶信息以及各个(m1+m2)的大小中的至少一者；以及
(2)用户输入的目标充电站选择指令。
在一种可能的实施方式中，所述无人机确定模块602还可以用于：
在搜索到的充电站中没有一个满足(m+m3)≥x(m1+m2)且m≥m1条件时，基于用户输入的充电站无人机取电指令或者默认设置来确定使用所述充电站无人机为所述交通工具充电。
在一种可能的实施方式中，在所述无人机确定模块602确定使用所述充电站无人机为所述交通工具充电时，所述获取模块601还可以用于获取所述交通工具的当前位置、需求电量和行驶信息；如图7所示，所述装置还可以包括：
充电站无人机搜索模块605，用于基于所述获取模块601获取的信息来搜索充电站无人机；以及
充电站无人机选择模块606，用于从充电站无人机搜索模块605搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电。
在一种可能的实施方式中，所述充电站无人机选择模块606从充电站无人机搜索模块605搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电，可以包括：
确定搜索到的各个充电站无人机的可续航里程n；
基于搜索到的各个充电站无人机的当前位置和所述交通工具的当前位置与行驶信息，确定搜索到的各个充电站无人机飞到所述交通工具的距离n1；
基于所述交通工具的当前位置与行驶信息，确定搜索到的各个充电站无人机为所述交通工具充完电后从所述交通工具返回最近充电站的距离n2；
从满足n≥y(n1+n2)条件的搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电，其中y是大于1的系数。
在一种可能的实施方式中，所述充电站无人机选择模块606可以基于以下一者来从满足n≥y(n1+n2)条件的搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电：
(1)各个(n1+n2)的大小、满足n≥y(n1+n2)条件的搜索到的充电站无人机的载电量和所述交通工具的需求电量；以及
(2)用户输入的充电站无人机选择指令。
根据本申请实施例的用于交通工具的充电控制装置中各个模块所执行的操作的具体实施方式已经在根据本申请实施例的充电控制方法中进行了详细描述，此处不再赘述。
另外，根据本申请实施例中提及的交通工具可以是车辆，例如纯电动汽车、混合动力汽车等车辆。
以上所述，仅是本发明的较佳实施例而已，并非对本发明作任何形式上的限制。虽然本发明已以较佳实施例揭露如上，然而并非用以限定本发明。任何熟悉本领域的技术人员，在不脱离本发明技术方案范围情况下，都可利用上述揭示的方法和技术内容对本发明技术方案做出许多可能的变动和修饰，或修改为等同变化的等效实施例。因此，凡是未脱离本发明技术方案的内容，依据本发明的技术实质对以上实施例所做的任何简单修改、等同变化及修饰，均仍属于本发明技术方案保护的范围内。

Claims (16)

  1. 一种用于交通工具的充电控制方法，其特征在于，该方法包括：
    获取所述交通工具的动力电池的电量；
    当所述动力电池的电量低于预设阈值时，确定使用所述交通工具携载的无人机或充电站无人机为所述交通工具充电。
  2. 根据权利要求1所述的方法，其特征在于，在确定使用所述交通工具携载的无人机为所述交通工具充电时，该方法还包括：
    获取所述交通工具的当前位置和行驶信息以及所述交通工具携载的无人机的可续航里程m；
    基于所获取的所述交通工具的当前位置和行驶信息以及所述交通工具携载的无人机的可续航里程m来选择其中一个充电站作为目标充电站；
    向所述交通工具携载的无人机发送取电指令以便由所述交通工具携载的无人机为所述交通工具充电，所述取电指令包括关于所述目标充电站的信息。
  3. 根据权利要求2所述的方法，其特征在于，所述基于所获取的所述交通工具的当前位置和行驶信息以及所述交通工具携载的无人机的可续航里程m来选择其中一个充电站作为目标充电站，包括：
    基于所述当前位置和所述行驶信息搜索充电站；
    确定所述交通工具携载的无人机从所述交通工具飞到搜索到的各个充电站的距离m1和从搜索到的各个充电站返回所述交通工具的距离m2；
    确定所述交通工具携载的无人机在搜索到的各个充电站能补充的续航里程m3；
    从满足(m+m3)≥x(m1+m2)且m≥m1条件的搜索到的充电站中选择其中一个充电站作为所述目标充电站，其中，x是大于1的系数。
  4. 根据权利要求3所述的方法，其特征在于，所述从满足(m+m3)≥x(m1+m2)且m≥m1条件的搜索到的充电站中选择其中一个充电站作为所述目标充电站基于以下任一种来完成：
    (1)所述动力电池的电量、所述行驶信息以及各个(m1+m2)的大小中的至少一者；以及
    (2)用户输入的目标充电站选择指令。
  5. 根据权利要求3所述的方法，其特征在于，在搜索到的充电站中没有一个满足(m+m3)≥x(m1+m2)且m≥m1条件时，基于用户输入的充电站无人机取电指令或者默认设置来确定使用所述充电站无人机为所述交通工具充电。
  6. 根据权利要求1或5所述的方法，其特征在于，在确定使用所述充电站无人机为所述交通工具充电时，该方法还包括：
    获取所述交通工具的当前位置和行驶信息；
    基于所述交通工具的当前位置和行驶信息来搜索充电站无人机；以及
    从搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电。
  7. 根据权利要求6所述的方法，其特征在于，所述从搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电，包括：
    确定搜索到的各个充电站无人机的可续航里程n；
    基于搜索到的各个充电站无人机的当前位置和所述交通工具的当前位置与行驶信息，确定搜索到的各个充电站无人机飞到所述交通工具的距离n1；
    基于所述交通工具的当前位置与行驶信息，确定搜索到的各个充电站无人机为所述交通工具充完电后从所述交通工具返回最近充电站的距离n2；
    从满足n≥y(n1+n2)条件的搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电，其中y是大于1的系数。
  8. 根据权利要求7所述的方法，其特征在于，所述从满足n≥y(n1+n2)条件的搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电基于以下任一种来完成：
    (1)各个(n1+n2)的大小、满足n≥y(n1+n2)条件的搜索到的充电站无人机的载电量和所述交通工具的需求电量；以及
    (2)用户输入的充电站无人机选择指令。
  9. 一种用于交通工具的充电控制装置，其特征在于，该装置包括：
    获取模块，用于获取所述交通工具的动力电池的电量；
    无人机确定模块，用于当所述动力电池的电量低于预设阈值时，确定使用所述交通工具携载的无人机或充电站无人机为所述交通工具充电。
  10. 根据权利要求9所述的装置，其特征在于，在所述无人机确定模块确 定使用所述交通工具携载的无人机为所述交通工具充电时，所述获取模块，还用于获取所述交通工具的当前位置和行驶信息以及所述交通工具携载的无人机的可续航里程m；
    该装置还包括：
    充电站选择模块，用于基于所述获取模块所获取的所述交通工具的当前位置和行驶信息以及所述交通工具携载的无人机的可续航里程m来选择其中一个充电站作为目标充电站；
    取电指令发送模块，用于向所述交通工具携载的无人机发送取电指令以便由所述交通工具携载的无人机为所述交通工具充电，所述取电指令包括关于所述目标充电站的信息。
  11. 根据权利要求10所述的装置，其特征在于，所述充电站选择模块基于所述获取模块所获取的所述交通工具的当前位置和行驶信息以及所述交通工具携载的无人机的可续航里程m来选择其中一个充电站作为目标充电站，包括：
    基于所述当前位置和所述行驶信息搜索充电站；
    确定所述交通工具携载的无人机从所述交通工具飞到搜索到的各个充电站的距离m1和从搜索到的各个充电站返回所述交通工具的距离m2；
    确定所述交通工具携载的无人机在搜索到的各个充电站能补充的续航里程m3；
    从满足(m+m3)≥x(m1+m2)且m≥m1条件的搜索到的充电站中选择其中一个充电站作为所述目标充电站，其中，x是大于1的系数。
  12. 根据权利要求11所述的装置，其特征在于，所述充电站选择模块基于以下一者从满足(m+m3)≥x(m1+m2)且m≥m1条件的搜索到的充电站中选择其中一个充电站作为所述目标充电站：
    (1)所述动力电池的电量、所述行驶信息以及各个(m1+m2)的大小中的至少一者；以及
    (2)用户输入的目标充电站选择指令。
  13. 根据权利要求11所述的装置，其特征在于，所述无人机确定模块还用于：
    在搜索到的充电站中没有一个满足且(m+m3)≥x(m1+m2)条件时，基于用户输入的充电站无人机取电指令或者默认设置来确定使用所述充电站无人机为所述交通工具充电。
  14. 根据权利要求9或13所述的装置，其特征在于，在所述无人机确定模块确定使用所述充电站无人机为所述交通工具充电时，所述获取模块还用于获取所述交通工具的当前位置和行驶信息；
    所述装置还包括：
    充电站无人机搜索模块，用于基于所述获取模块获取的当前位置和行驶信息来搜索充电站无人机；以及
    充电站无人机选择模块，用于从搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电。
  15. 根据权利要求14所述的装置，其特征在于，所述充电站无人机选择模块从搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电，包括：
    确定搜索到的各个充电站无人机的可续航里程n；
    基于搜索到的各个充电站无人机的当前位置和所述交通工具的当前位置与行驶信息，确定搜索到的各个充电站无人机飞到所述交通工具的距离n1；
    基于所述交通工具的当前位置与行驶信息，确定搜索到的各个充电站无人机为所述交通工具充完电后从所述交通工具返回最近充电站的距离n2；
    从满足n≥y(n1+n2)条件的搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电，其中y是大于1的系数。
  16. 根据权利要求15所述的装置，其特征在于，所述充电站无人机选择模块基于以下任一种来从满足n≥y(n1+n2)条件的搜索到的充电站无人机中选择目标充电站无人机为所述交通工具充电：
    (1)各个(n1+n2)的大小、满足n≥y(n1+n2)条件的搜索到的充电站无人机的载电量和所述交通工具的需求电量；以及
    (2)用户输入的充电站无人机选择指令。
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