WO2016176864A1 - 电动汽车预约充电控制方法及装置 - Google Patents

电动汽车预约充电控制方法及装置 Download PDF

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Publication number
WO2016176864A1
WO2016176864A1 PCT/CN2015/078499 CN2015078499W WO2016176864A1 WO 2016176864 A1 WO2016176864 A1 WO 2016176864A1 CN 2015078499 W CN2015078499 W CN 2015078499W WO 2016176864 A1 WO2016176864 A1 WO 2016176864A1
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WIPO (PCT)
Prior art keywords
charging
information
reserved
vehicle
reserved charging
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PCT/CN2015/078499
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English (en)
French (fr)
Inventor
张禄
潘鸣宇
孙舟
朱洁
迟忠君
陈艳霞
李香龙
王伟贤
梁飞宇
Original Assignee
国家电网公司
国网北京市电力公司
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Application filed by 国家电网公司, 国网北京市电力公司 filed Critical 国家电网公司
Priority to PCT/CN2015/078499 priority Critical patent/WO2016176864A1/zh
Publication of WO2016176864A1 publication Critical patent/WO2016176864A1/zh

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    • 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
    • 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

Definitions

  • the present invention relates to the field of electric vehicles, and in particular to an electric vehicle reservation charging control method and apparatus.
  • the industrialization process of electric vehicles depends on both the vehicle itself and the hardware and software infrastructure. With the maturity of electric vehicle product technology, the importance of infrastructure construction and supporting charging operation service system is further highlighted.
  • the existing charging reservation mechanism can be divided into two categories, one is a local operation reservation: the charging system is built on the local software system of the charging facility.
  • the charging system When making a reservation for charging, the user must perform a field operation at the location where the charging facility is located, and the predetermined content is that the reserved charging facility starts charging for a predetermined period of time.
  • the limitation of this method is that the user must arrive at the charging facility locally before the charging can be performed. It is very inconvenient to make an appointment.
  • the other type is remote operation reservation: using Internet technology, the user can make a reservation application to the available charging facility to the centralized service platform, complete the reservation operation remotely, and enjoy the charging service at the appointed time and place. But at this stage, the remote operation reservation implementation scheme. It is limited to making a reservation for the charging facility according to the subjective charging demand of the applicant, and the result of the remote reservation cannot be optimized according to the occupancy of the charging facility. This caused a waste of resources in the charging facility.
  • Embodiments of the present invention provide a method and apparatus for controlling charging and charging of an electric vehicle to at least solve the technical problem of waste of charging equipment resources and poor user charging experience due to the inability to optimize the scheduled charging of the electric vehicle.
  • an electric vehicle reservation charging control including: acquiring scheduled charging information and preset optimization control parameters; acquiring vehicle state information pre-bound with the reserved charging information; charging according to the reservation Information and vehicle status information, determining a set of reserved charging schemes for the vehicle; screening the recommended charging scheme from the set of reserved charging schemes using preset optimization control parameters.
  • the vehicle state information includes at least any one or more of the following: vehicle location information, vehicle remaining battery information, and battery rated capacity information, wherein the step of determining the set of reserved charging schemes of the vehicle according to the reserved charging information and the vehicle state information
  • the method includes: determining a remaining mileage of the vehicle according to the remaining power information of the vehicle; determining a driving range of the vehicle according to the vehicle location information and the remaining mileage of the vehicle; and traversing state information of the charging port of the charging station within the driving range, the status information includes at least: , occupation and failure; according to the reservation charging information and the status information of the charging port, a set of reserved charging plans is generated.
  • the step of generating the set of reserved charging plans includes: determining, according to the reserved charging position in the reserved charging information, a relative distance between each charging station and the reserved charging position within the driving range; According to the reserved charging time in the reserved charging information, a time parameter in which the state of each charging port changes from occupied to idle is determined; and the set of reserved charging plans is determined according to the relative distance and the time parameter.
  • determining the set of reserved charging schemes according to the relative distance and the time parameter comprises: determining, according to the relative distance, a distance weight value of each of the reserved charging schemes in the set of reserved charging schemes; determining, according to the time parameter, each of the subscriptions in the set of reserved charging schemes a time weight value of the charging scheme; calculating, according to the distance weight value and the time weight value, a reference value of each of the reserved charging schemes in the set of reserved charging schemes; and acquiring an appointment charging scheme that satisfies the preset condition according to the reference value, forming an appointment charging Program collection.
  • selecting the recommended charging scheme from the set of reserved charging schemes by using the optimized control parameter comprises: determining, according to the optimized control parameter, an optimized parameter value of each of the reserved charging schemes in the set of reserved charging schemes; and selecting each charging scheme according to the optimized parameter value Sorting; determining the recommended charging scheme by the order of the respective scheduled charging schemes.
  • the reservation charging information further includes: account information, wherein acquiring the reservation charging information and the preset optimization control parameter comprises: acquiring a charging history record corresponding to the account information; and analyzing the charging history record to obtain the credit of the account information Rating.
  • the method further includes: adjusting the optimal control parameters according to the credit rating.
  • the method further includes: acquiring grid load information; screening the reserved charging scheme in the set of reserved charging schemes according to the grid load information, and obtaining an appointment A collection of charging schemes.
  • an electric vehicle reservation charging control apparatus including: a first acquisition module, configured to acquire reserved charging information and preset optimization control parameters; and a second acquisition module, configured to: Obtaining vehicle state information of the vehicle pre-bound with the reserved charging information; determining a module for charging according to the reservation The electrical information and the vehicle status information determine a set of reserved charging schemes of the vehicle; and the first processing module is configured to filter the recommended charging scheme from the set of reserved charging schemes by using the optimized control parameter.
  • the determining module includes: a first sub-determining module, configured to determine a remaining mileage of the vehicle according to the remaining battery power information; and a second sub-determination module configured to determine a driving range of the vehicle according to the vehicle location information and the remaining mileage of the vehicle a first sub-processing module, configured to traverse status information of a charging port of the charging station within the driving range, the status information includes at least: idle, occupied, and faulty; and a sub-generation module configured to reserve charging information and a status of the charging port Information, generating a set of appointment charging plans.
  • the sub-generation module includes: a third sub-determination module, configured to determine, according to the reserved charging position in the reserved charging information, a relative distance between each charging station and the reserved charging position within the driving range; the fourth sub-determination module uses And determining, according to the reserved charging time in the reserved charging information, a time parameter that the state of each charging port changes from occupied to idle; and a fifth sub-determining module configured to determine the set of reserved charging plans according to the relative distance and the time parameter.
  • the first processing module includes: a sixth sub-determining module, configured to determine, according to the optimized control parameter, an optimized parameter value of each of the reserved charging schemes in the set of reserved charging schemes; and a second sub-processing module, configured to: according to the optimized parameter value, Sorting each of the reserved charging schemes; and a seventh sub-determining module for determining a recommended charging scheme by the order of the respective scheduled charging schemes.
  • the reservation charging information further includes: account information, wherein the first obtaining module includes: a sub-acquisition module, configured to acquire a charging history record corresponding to the account information; and a sub-analysis module configured to analyze the charging history record , get the credit rating of the account information.
  • account information wherein the first obtaining module includes: a sub-acquisition module, configured to acquire a charging history record corresponding to the account information; and a sub-analysis module configured to analyze the charging history record , get the credit rating of the account information.
  • the first processing module further includes: a sub-adjustment module, configured to adjust the optimization control parameter according to the credit rating.
  • the device further includes: a third obtaining module, configured to acquire grid load information; and a second processing module, configured to filter the reserved charging scheme in the set of reserved charging schemes according to the grid load information, to obtain a set of reserved charging schemes.
  • the present application also provides a computer terminal for executing program code of the steps provided by the electric vehicle reservation charging control method.
  • the present application further provides a storage medium for storing program code executed by an electric vehicle reservation charging control method.
  • the acquisition of the preset charging information and the preset optimization control parameters are adopted; acquiring the vehicle state information of the vehicle pre-bound with the reserved charging information; and determining the set of the reserved charging scheme of the vehicle according to the reserved charging information and the vehicle state information.
  • the first obtaining module is configured to obtain the reserved charging information and the preset optimized control parameters
  • the second acquiring module is configured to obtain Pre-binding vehicle state information of the vehicle with the reservation charging information
  • determining module configured to determine a set of reserved charging schemes of the vehicle according to the reserved charging information and the vehicle state information
  • the recommended charging scheme is selected in the collection, which achieves the combination of the optimization goal of the charging system and the charging requirement of the user, optimizes the use of the charging resource, and solves the charging device caused by the inability to optimize the charging of the electric vehicle.
  • FIG. 1 is a flow chart of a method for controlling an electric car reservation charge according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of a reservation charging control method according to an embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of an electric car reservation charging control device according to an embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of a determining module of a preferred electric vehicle reservation charging control device according to an embodiment of the present invention
  • FIG. 5 is a schematic structural diagram of a sub-generation module in a determining module of a preferred electric vehicle reservation charging control device according to an embodiment of the present invention
  • FIG. 6 is a schematic structural diagram of a first processing module of a preferred electric vehicle reservation charging control device according to an embodiment of the present invention
  • FIG. 7 is a schematic structural diagram of a first acquisition module of a preferred electric vehicle reservation charging control device according to an embodiment of the present invention.
  • FIG. 8 is a schematic structural diagram of a first processing module of a preferred electric vehicle reservation charging control device according to an embodiment of the present invention.
  • FIG. 9 is a schematic structural diagram of a preferred electric vehicle reservation charging control apparatus according to an embodiment of the present invention.
  • an electric vehicle reservation charging control method there is provided an embodiment of an electric vehicle reservation charging control method, and it is to be noted that the steps illustrated in the flowchart of the accompanying drawings may be executed in a computer system such as a set of computer executable instructions, and Although the logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in a different order than the ones described herein.
  • FIG. 1 is a flow chart of a method for controlling an electric car reservation charge according to an embodiment of the present invention. As shown in FIG. 1, the method includes the following steps:
  • step S11 the reservation charging information and the preset optimization control parameters are acquired.
  • Step S13 acquiring vehicle state information of the vehicle pre-bound with the reserved charging information.
  • Step S15 determining a set of reserved charging plans of the vehicle based on the reserved charging information and the vehicle state information.
  • step S17 the recommended charging scheme is selected from the set of reserved charging schemes by using optimized control parameters.
  • the scheduled charging scheme can be optimized according to the vehicle state information, and the optimized charging scheme is filtered according to the optimized control parameters to obtain an optimal charging scheme.
  • the optimized charging scheme is filtered according to the optimized control parameters to obtain an optimal charging scheme.
  • each charging port in the vehicle, the charging station, and even the charging station can establish a network connection for collecting state information through the Internet, so that the vehicle, the charging station, and the real-time can be obtained through the Internet. Status information of each charging port in the charging station.
  • the subscription charging information may include the user's account information, the reserved charging location, and the reserved charging time.
  • the reserved charging location may be a certain available charging port, or may be any available charging port in one or more charging stations.
  • the scheduled charging time may include a start charging time and an ending charging time.
  • the remaining power information charge state SOC
  • vehicle position information the remaining power information
  • battery rated capacity information the like of the electric vehicle
  • the remaining power information and the rated battery capacity can be used to estimate the time required to fully charge the vehicle's battery.
  • the cruising range of the vehicle can be estimated.
  • the range of motion of the vehicle can be estimated by the cruising range of the vehicle and the vehicle position information.
  • an alternative charging scheme can be accurately provided for the system.
  • the steps may include:
  • Step S151 determining the remaining mileage of the vehicle according to the remaining battery amount information of the vehicle.
  • step S153 the driving range of the vehicle is determined according to the vehicle position information and the remaining mileage of the vehicle.
  • Step S155 traversing the status information of the charging port of the charging station within the driving range, and the status information includes at least: idle, occupied, and faulty.
  • Step S157 Generate a set of reserved charging plans according to the reserved charging information and the state information of the charging port.
  • the system acquires the vehicle state information through the vehicle networking technology. Determining the driving range of the vehicle by using the vehicle state information, traversing the state information of the charging port in all charging stations within the driving range by determining the obtained driving range, and composing a plurality of meeting requirements by scheduling the charging information and the state information of the charging port.
  • the charging scheme comprises a set of reserved charging schemes by the above several charging schemes. Wherein, the charging scheme includes at least a charging location and a charging time.
  • the steps may include:
  • Step S1571 determining the relative distance between each charging station and the reserved charging position within the driving range according to the reserved charging position in the reserved charging information.
  • Step S1573 determining a time parameter that the state of each charging port changes from occupied to idle according to the reserved charging time in the reserved charging information.
  • Step S1575 determining a set of reserved charging schemes according to the relative distance and time parameters.
  • a preferred method of generating a set of reserved charging schemes is proposed. First, calculating the relative distance between each charging station and the reserved charging position within the driving range of the vehicle, and calculating the state of each charging port within the driving range of the vehicle based on the reserved charging time, from the time point when the occupancy becomes idle, The time parameter for the scheduled charging time point. If the state of the charging port is idle at the time of the scheduled charging, the time parameter is 0. The relative distance and time parameters are used as attribute values of each set of reserved charging schemes to obtain a set of reserved charging schemes.
  • each reserved charging scheme is calculated according to the relative distance and the time parameter according to the relative distance and the time parameter, according to the calculation.
  • each of the scheduled charging schemes is sorted, and a predetermined number of scheduled charging schemes are selected to form a set of reserved charging schemes, thereby narrowing the selection range and improving the accuracy of the recommendation.
  • step S1575 determining the set of reserved charging schemes according to the relative distance and the time parameter, the steps may include:
  • Step S15751 Determine, according to the relative distance, a distance weight value of each of the reserved charging schemes in the set of reserved charging schemes.
  • Step S15753 Determine, according to the time parameter, a time weight value of each of the reserved charging schemes in the set of reserved charging schemes.
  • Step S15755 Calculate, according to the distance weight value and the time weight value, a reference value of each of the reserved charging schemes in the set of reserved charging schemes.
  • Step S15757 Acquire a reserved charging scheme that meets a preset condition according to the reference value, and form a set of reserved charging schemes.
  • each of the reserved charging schemes may be calculated by other algorithms such as the least squares method, and each of the reserved charging schemes is sorted according to the calculation result, and the set of the scheduled charging schemes is determined, and the specific calculation method is not described herein.
  • the optimized control parameters can be set according to the optimized control objectives.
  • the optimization control target the operation principle of the reservation charging algorithm is adjusted, and different optimization control targets will obtain different output results.
  • Optimizing control objectives can include: minimizing user charging latency, minimizing grid load peak-to-valley differences, minimizing distribution network line losses, maximizing charging facility utilization, and maximizing user charging economy.
  • a matching recursive algorithm is adopted for each of the reserved charging schemes in the set of reserved charging schemes. That is, an optimized one-to-one pairing result is sought according to information conditions on both sides of the user side and the charging facility side.
  • the adaptive mutation particle swarm algorithm is used to determine the recommended charging scheme.
  • step S17 the optimized charging parameter is used to select a recommended charging solution from the set of reserved charging schemes, and the steps include:
  • Step S171 determining, according to the optimization control parameter, an optimization parameter value of each of the reserved charging schemes in the set of reserved charging schemes.
  • Step S173 sorting each reserved charging scheme according to the optimized parameter value.
  • Step S175 determining a recommended charging scheme by the arrangement order of the respective reserved charging schemes.
  • the account information may be established for the user who subscribes to the charging, and the default or late history of the current account is obtained through the account information.
  • the gray clustering algorithm such as the whitening weight function is used to apply for the credit rating of the subscriber, and the subscription charging scheme is screened according to the credit rating.
  • the subscription charging information further includes: account information, wherein, in step S11, the acquiring the charging information and the preset optimization control parameters, the step may include:
  • Step S111 obtaining a charging history record corresponding to the account information.
  • Step S113 obtaining a credit rating of the account information by analyzing the charging history.
  • the historical charging record in the account information is analyzed, and the credit rating of the account corresponding to the account information is analyzed based on contents such as the lost date record, the late arrival record, and the like in the history charging record.
  • contents such as the lost date record, the late arrival record, and the like in the history charging record.
  • the method before the step of sorting each reserved charging scheme according to the optimized parameter value, the method further includes:
  • Step S172 adjusting the optimization control parameter according to the credit rating.
  • step S172 different adjustment parameters may be set for each credit rating, and the optimization parameter values determined in step S171 are further adjusted according to the adjustment parameters, and the optimized parameter values for sorting in step S173 are obtained.
  • the method further includes:
  • Step S161 acquiring grid load information.
  • Step S163 screening the reserved charging scheme in the set of reserved charging schemes according to the grid load information to obtain a set of reserved charging schemes.
  • the grid load information includes at least: a daily load prediction curve (history data and a prediction curve) of the charging port area, a distribution network structure, a distribution capacity, and a peak-to-valley time-of-use price.
  • Steps S161 to S163 are used to calculate, according to the grid load information, the area where the reserved charging location is located in each of the reserved charging schemes, and the load rate of the reserved charging time, when the load rate exceeds a preset peak threshold, the predetermined charging scheme is Filter to reduce the optimization parameter values. Thereby, the purpose of screening the reserved charging scheme in the charging scheme set according to the grid resources is achieved.
  • FIG. 2 is a schematic diagram of a reservation charging control method, and the user can charge the reservation through the electric vehicle intelligent service platform website, the smart phone APP software or the driving computer of the electric vehicle.
  • the system proposes an appointment charging application information (ie, a user application request), and the reservation charging control system can optimize the control parameters (ie, optimize the control target) and the state information of the charging facility (ie, the state of the charging facility) according to the vehicle state information (ie, the state of the electric vehicle).
  • the reservation charging control system accepts or rejects the reservation charging scheme (reservation recommendation scheme) provided by the reservation charging control system according to the reserved charging control method, and if accepted, determines the charging period and the charging facility location (a certain charging) that the user goes to the appointment. Port ID information or any charging port within a certain range). If rejected, the system will provide other subscription charging schemes in the set of reserved charging schemes for the user to select. Finally, a complete appointment result is generated based on the user's selection.
  • an embodiment of an electric car reservation charging control device is provided.
  • 3 is a schematic structural view of an electric car reservation charging control device according to an embodiment of the present invention.
  • the apparatus may include: a first acquisition module 21, a second acquisition module 23, a determination module 25, and a first processing module 27.
  • the first obtaining module 21 is configured to acquire reserved charging information and preset optimization control parameters.
  • the second obtaining module 23 is configured to acquire vehicle state information of the vehicle pre-bound with the reserved charging information.
  • the determining module 25 is configured to determine a set of reserved charging schemes of the vehicle according to the reserved charging information and the vehicle state information.
  • the first processing module 27 is configured to filter the recommended charging scheme from the set of reserved charging schemes by using optimized control parameters.
  • first obtaining module 21, the second obtaining module 23, the determining module 25 and the first processing module 27 may be run in a computer terminal as part of the device, and may be executed by a processor in the computer terminal.
  • the functions implemented by the above modules may also be terminal devices such as smart phones (such as Android phones, iOS phones, etc.), tablet computers, applause computers, and mobile Internet devices (MIDs) and PADs.
  • the first sub-determination module 251, the second sub-determination module 253, the first sub-processing module 255, and the sub-generation module 257 may be included.
  • the first sub-determination module 251 is configured to determine a remaining mileage of the vehicle according to the remaining battery power information
  • the second sub-determination module 253 is configured to determine a driving range of the vehicle according to the vehicle location information and the remaining mileage of the vehicle
  • a sub-processing module 255 configured to traverse status information of a charging port of the charging station within a driving range, The status information includes at least: idle, occupied, and faulty
  • a sub-generation module 257 configured to generate a set of reserved charging plans according to the reserved charging information and the status information of the charging port.
  • the system acquires the vehicle state information through the vehicle networking technology. Determining the driving range of the vehicle by using the vehicle state information, traversing the state information of the charging port in all charging stations within the driving range by determining the obtained driving range, and composing a plurality of meeting requirements by scheduling the charging information and the state information of the charging port.
  • the charging scheme comprises a set of reserved charging schemes by the above several charging schemes. Wherein, the charging scheme includes at least a charging location and a charging time.
  • the first sub-determination module 251, the second sub-determination module 253, the first sub-processing module 255, and the sub-generation module 257 may be run in a computer terminal as part of the device, and may be processed by the computer terminal.
  • the computer terminal can also be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, and a mobile Internet device (MID), a PAD, and the like.
  • the sub-generation module 257 may include a third sub-determination module 2571, a fourth sub-determination module 2573, and a fifth sub-determination module 2575.
  • the third sub-determination module 2571 is configured to determine a relative distance between each charging station and the reserved charging position within the driving range according to the reserved charging position in the reserved charging information.
  • the fourth sub-determining module 2573 is configured to charge according to the reservation.
  • the reserved charging time in the information determines a time parameter in which the state of each charging port changes from occupied to idle; and a fifth sub-determining module 2575 is configured to determine a set of reserved charging plans according to the relative distance and the time parameter.
  • a preferred method of generating a set of reservation charging schemes can be implemented. First, calculating the relative distance between each charging station and the reserved charging position within the driving range of the vehicle, and calculating the state of each charging port within the driving range of the vehicle based on the reserved charging time, from the time point when the occupancy becomes idle, The time parameter for the scheduled charging time point. If the state of the charging port is idle at the time of the scheduled charging, the time parameter is 0. The relative distance and time parameters are used as attribute values of each set of reserved charging schemes to obtain a set of reserved charging schemes.
  • the third sub-determination module 2571, the fourth sub-determination module 2573, and the fifth sub-determination module 2575 may be run in a computer terminal as part of the apparatus, and may be executed by a processor in the computer terminal.
  • the functions implemented by the module, the computer terminal can also be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, and a mobile Internet device (MID), a PAD, and the like.
  • each reserved charging scheme is calculated according to the relative distance and the time parameter according to the relative distance and the time parameter, according to the calculation.
  • each of the scheduled charging schemes is sorted, and a predetermined number of scheduled charging schemes are selected to form a set of reserved charging schemes, thereby narrowing the selection range and improving the accuracy of the recommendation.
  • step 43 determining the set of reserved charging schemes according to the relative distance and the time parameter, the steps may include:
  • Step 431 Determine, according to the relative distance, a distance weight value of each of the reserved charging schemes in the set of reserved charging schemes.
  • Step 432 Determine, according to the time parameter, a time weight value of each of the reserved charging schemes in the set of reserved charging schemes.
  • Step 433 Calculate, according to the distance weight value and the time weight value, a reference value of each of the reserved charging schemes in the set of reserved charging schemes.
  • Step 434 Acquire a reserved charging scheme that meets a preset condition according to the reference value, and form a set of reserved charging schemes.
  • each of the reserved charging schemes may be calculated by other algorithms such as the least squares method, and each of the reserved charging schemes is sorted according to the calculation result, and the set of the scheduled charging schemes is determined, and the specific calculation method is not described herein.
  • the sixth sub-determination module 271, the second sub-processing module 273, and the seventh sub-determination module 275 may be included.
  • the sixth sub-determination module 271 is configured to determine, according to the optimized control parameter, an optimized parameter value of each of the reserved charging schemes in the set of reserved charging schemes; the second sub-processing module 273 is configured to: each of the scheduled charging schemes according to the optimized parameter value Sorting; and a seventh sub-determination module 275 for determining a recommended charging scheme by an arrangement order of the respective subscription charging schemes.
  • the sixth sub-determination module 271, the second sub-processing module 273, and the seventh sub-determination module 275 may be run in a computer terminal as part of the apparatus, and may be executed by a processor in the computer terminal.
  • the functions implemented by the module, the computer terminal can also be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, and a mobile Internet device (MID), a PAD, and the like.
  • the subscription charging information further includes: account information, wherein the first obtaining module 21 may include: a sub-acquisition module 211 and a sub-analysis module 213.
  • the sub-acquisition module 211 is configured to obtain a charging history record corresponding to the account information
  • the sub-analysis module 213 is configured to obtain a credit rating of the account information by analyzing the charging history record.
  • the historical charging record in the account information is analyzed by the sub-acquisition module 211 and the sub-analysis module 213 described above, and the credit rating of the account corresponding to the account information is analyzed based on, for example, the missed record, the late record, and the like in the historical charging record.
  • rating the account you can provide different services for users with different credit ratings. Thereby, the user is encouraged to charge as much as possible to further improve the utilization rate of the charging facility.
  • sub-acquisition module 211 and the sub-analysis module 213 may be run in a computer terminal as part of the device, and the functions implemented by the module may be performed by a processor in the computer terminal, and the computer terminal may also be a smart phone. (such as Android phones, iOS phones, etc.), tablets, applause computers and mobile Internet devices (Mobile Internet Devices, MID), PAD and other terminal devices.
  • the first processing module 27 may further include: a sub-adjustment module 272 .
  • the sub-adjustment module is configured to adjust the optimal control parameters according to the credit rating.
  • the sub-adjustment module 272 can be run in a computer terminal as part of the device, and the functions implemented by the module can be performed by a processor in the computer terminal, and the computer terminal can also be a smart phone (such as an Android mobile phone). , iOS phones, etc.), tablet computers, applause computers, and mobile Internet devices (MID), PAD and other terminal devices.
  • a smart phone such as an Android mobile phone. , iOS phones, etc.
  • tablet computers tablet computers, applause computers, and mobile Internet devices (MID), PAD and other terminal devices.
  • MID mobile Internet devices
  • the foregoing apparatus further includes: a third obtaining module 261 and a second processing module 263.
  • the third obtaining module 261 is configured to obtain grid load information.
  • the second processing module 263 is configured to filter the reserved charging scheme in the set of reserved charging schemes according to the grid load information, to obtain a set of reserved charging schemes.
  • the foregoing third obtaining module 261 and the second processing module 263 may be run in a computer terminal as part of the device, and the functions implemented by the foregoing module may be performed by a processor in the computer terminal, and the computer terminal may also be It is a smart phone (such as Android phone, iOS phone, etc.), tablet computer, applause computer, and mobile Internet devices (MID), PAD and other terminal devices.
  • the grid load information includes at least: a daily load prediction curve (history data and a prediction curve) of the charging port area, a distribution network structure, a distribution capacity, and a peak-to-valley time-of-use price.
  • Embodiments of the present invention may provide a computer terminal, which may be any one of computer terminal groups.
  • the foregoing computer terminal may also be replaced with a terminal device such as a mobile terminal.
  • the computer terminal may be located in at least one network device of the plurality of network devices of the computer network.
  • the computer terminal may execute the program code of the following steps in the electric vehicle reservation charging control method: vehicle position information, vehicle remaining battery amount information, battery rated capacity information, wherein, according to the reserved charging information and the vehicle state information, determining
  • the step of the set of reserved charging schemes of the vehicle includes: determining the remaining mileage of the vehicle according to the remaining battery information of the vehicle; determining the driving range of the vehicle according to the vehicle location information and the remaining mileage of the vehicle; and traversing the state of the charging port of the charging station within the driving range
  • the information, the status information includes at least: idle, occupied, and faulted; and generates a set of reserved charging plans according to the reserved charging information and the status information of the charging port.
  • the computer terminal can include: one or more processors, memory, and transmission means.
  • the memory can be used to store software programs and modules, such as the electric vehicle reservation charging control method and device method and the program instruction/module corresponding to the device in the embodiment of the present invention, and the processor runs the software program and module stored in the memory. Thereby, various functional applications and data processing are performed, that is, the above-described electric vehicle reservation charging control method and apparatus method are realized.
  • the memory may include a high speed random access memory, and may also include non-volatile memory such as one or more magnetic storage devices, flash memory, or other non-volatile solid state memory.
  • the memory can further include memory remotely located relative to the processor, which can be connected to the terminal over a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • the above transmission device is for receiving or transmitting data via a network.
  • Specific examples of the above network may include a wired network and a wireless network.
  • the transmission device includes a Network Interface Controller (NIC) that can be connected to other network devices and routers through a network cable to be interconnected. Network or LAN for communication.
  • the transmission device is a Radio Frequency (RF) module for communicating with the Internet wirelessly.
  • NIC Network Interface Controller
  • RF Radio Frequency
  • the memory is used to store preset action conditions and information of the preset rights user, and an application.
  • the processor can call the memory stored information and the application by the transmitting device to execute the program code of the method steps of each of the alternative or preferred embodiments of the above method embodiments.
  • the computer terminal can also be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, an applause computer, and a mobile Internet device (MID), a PAD, and the like.
  • a smart phone such as an Android phone, an iOS phone, etc.
  • a tablet computer such as an iPad, Samsung Galaxy Tab, Samsung Galaxy Tab, etc.
  • MID mobile Internet device
  • PAD PAD
  • Embodiments of the present invention also provide a storage medium.
  • the storage medium may be used to save the program code executed by the electric vehicle reservation charging control method and apparatus provided by the foregoing method embodiment and the device embodiment.
  • the foregoing storage medium may be located in any one of the computer terminal groups in the computer network, or in any one of the mobile terminal groups.
  • the storage medium is configured to store program code for performing the following steps: acquiring the scheduled charging information and the preset optimization control parameter; acquiring the vehicle state information of the vehicle pre-bound with the reserved charging information. And determining, according to the reserved charging information and the vehicle state information, the set of reserved charging schemes of the vehicle; and filtering the recommended charging scheme from the set of reserved charging schemes by using preset optimization control parameters.
  • the storage medium may also be arranged to store program code for performing various preferred or optional method steps provided by the electric vehicle reservation charging control method.
  • the disclosed technical contents may be implemented in other manners.
  • the device embodiments described above are only schematic.
  • the division of the unit may be a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, unit or module, and may be electrical or otherwise.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • the technical solution of the present invention which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium.
  • a number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes: a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and the like. .

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Abstract

一种电动汽车预约充电控制方法及装置。其中，该方法包括：获取预约充电信息和预先设置的优化控制参数（S11）；获取与预约充电信息预先绑定车辆的车辆状态信息（S13）；根据预约充电信息和车辆状态信息，确定车辆的预约充电方案集合（S15）；使用优化控制参数从预约充电方案集合中筛选得到推荐充电方案（S17）。解决了由于无法对电动车的预约充电进行优化，导致的充电设备资源浪费和用户充电体验欠佳的技术问题。

Description

电动汽车预约充电控制方法及装置 技术领域
本发明涉及电动汽车领域，具体而言，涉及一种电动汽车预约充电控制方法及装置。
背景技术
电动汽车的产业化进程，取决于车辆本身和软硬件基础设施两方面条件。随着电动汽车产品技术的日趋成熟，基础设施建设及配套充电运营服务系统的重要性正在进一步凸显。
目前已有的充电预约机制可以分两类，一类是本地操作预约：充电系统建立在充电设施的本地软件系统之上。在对充电进行预约时，用户必须在充电设施所处的位置进行实地操作，预定内容为预约充电设施在预定时间段启动充电，这种方式的局限性是用户必须到达充电设施本地，才可以进行预约操作，十分不方便。
另一类是远程操作预约：利用互联网技术，用户可以向集中服务平台对可用充电设施提出预约申请，远程完成预约操作，并在约定时间和地点赴约享受充电服务。但是现阶段的远程操作预约实现方案。仅局限于根据申请用户的主观充电需求，对充电设施进行预约，无法根据充电设施的占用情况对远程预约的结果进行优化。造成了充电设施的资源浪费。
针对上述由于无法对电动车的预约充电进行优化，导致的充电设备资源浪费和用户充电体验欠佳的问题，目前尚未提出有效的解决方案。
发明内容
本发明实施例提供了一种电动汽车预约充电控制方法及装置方法及装置，以至少解决由于无法对电动车的预约充电进行优化，导致的充电设备资源浪费和用户充电体验欠佳的技术问题。
根据本发明实施例的一个方面，提供了一种电动汽车预约充电控制，包括：获取预约充电信息和预先设置的优化控制参数；获取与预约充电信息预先绑定车辆的车辆状态信息；根据预约充电信息和车辆状态信息，确定车辆的预约充电方案集合；使用预先设置的优化控制参数从预约充电方案集合中筛选得到推荐充电方案。
进一步地，车辆状态信息至少包括如下任意一个或多个信息：车辆位置信息、车辆剩余电量信息、电池额定容量信息，其中，根据预约充电信息和车辆状态信息，确定车辆的预约充电方案集合的步骤包括：根据车辆剩余电量信息，确定车辆剩余行驶里程；根据车辆位置信息和车辆剩余行驶里程，确定车辆的行驶范围；遍历在行驶范围内充电站的充电口的状态信息，状态信息至少包括：空闲、占用和故障；根据预约充电信息和充电口的状态信息，生成预约充电方案集合。
进一步地，根据预约充电信息和充电口的状态信息，生成预约充电方案集合的步骤包括：根据预约充电信息中的预约充电位置，确定在行驶范围内的各个充电站与预约充电位置的相对距离；根据预约充电信息中的预约充电时间，确定各个充电口的状态由占用变为空闲的时间参数；根据相对距离和时间参数，确定预约充电方案集合。
进一步地，根据相对距离和时间参数，确定预约充电方案集合包括：根据相对距离，确定预约充电方案集合中的各个预约充电方案的距离权重值；根据时间参数，确定预约充电方案集合中的各个预约充电方案的时间权重值；根据距离权重值和时间权重值，计算得出预约充电方案集合中的各个预约充电方案的参考值；根据参考值获取到满足预设条件的预约充电方案，组成预约充电方案集合。
进一步地，使用优化控制参数从预约充电方案集合中筛选得到推荐充电方案包括：根据优化控制参数，确定预约充电方案集合中各个预约充电方案的优化参数值；根据优化参数值，对各个预约充电方案进行排序；通过各个预约充电方案的排列顺序，确定推荐充电方案。
进一步地，预约充电信息还包括：账户信息，其中，获取预约充电信息和预先设置的优化控制参数包括：获取与账户信息对应的充电历史记录；通过对充电历史记录进行分析，得到账户信息的信用评级。
进一步地，在根据优化参数值，对各个预约充电方案进行排序之前，方法还包括：根据信用评级，调整优化控制参数。
进一步地，在根据预约充电信息和车辆状态信息，确定车辆的预约充电方案集合之后，方法还包括：获取电网负荷信息；根据电网负荷信息对预约充电方案集合中的预约充电方案进行筛选，得到预约充电方案集合。
根据本发明实施例的另一方面，还提供了一种电动汽车预约充电控制装置，包括：第一获取模块，用于获取预约充电信息和预先设置的优化控制参数；第二获取模块，用于获取与预约充电信息预先绑定车辆的车辆状态信息；确定模块，用于根据预约充 电信息和车辆状态信息，确定车辆的预约充电方案集合；第一处理模块，用于使用优化控制参数从预约充电方案集合中筛选得到推荐充电方案。
进一步地，确定模块包括：第一子确定模块，用于根据车辆剩余电量信息，确定车辆剩余行驶里程；第二子确定模块，用于根据车辆位置信息和车辆剩余行驶里程，确定车辆的行驶范围；第一子处理模块，用于遍历在行驶范围内充电站的充电口的状态信息，状态信息至少包括：空闲、占用和故障；以及子生成模块，用于根据预约充电信息和充电口的状态信息，生成预约充电方案集合。
进一步地，子生成模块包括：第三子确定模块，用于根据预约充电信息中的预约充电位置，确定在行驶范围内的各个充电站与预约充电位置的相对距离；第四子确定模块，用于根据预约充电信息中的预约充电时间，确定各个充电口的状态由占用变为空闲的时间参数；以及第五子确定模块，用于根据相对距离和时间参数，确定预约充电方案集合。
进一步地，第一处理模块包括：第六子确定模块，用于根据优化控制参数，确定预约充电方案集合中各个预约充电方案的优化参数值；第二子处理模块，用于根据优化参数值，对各个预约充电方案进行排序；以及第七子确定模块，用于通过各个预约充电方案的排列顺序，确定推荐充电方案。
进一步地，预约充电信息还包括：账户信息，其中，第一获取模块包括：子获取模块，用于获取与账户信息对应的充电历史记录；以及子分析模块，用于通过对充电历史记录进行分析，得到账户信息的信用评级。
进一步地，第一处理模块还包括：子调整模块，用于根据信用评级，调整优化控制参数。
进一步地，装置还包括：第三获取模块，用于获取电网负荷信息；第二处理模块，用于根据电网负荷信息对预约充电方案集合中的预约充电方案进行筛选，得到预约充电方案集合。
根据本发明实施例的另一方面，本申请还提供了一种计算机终端，用于执行电动汽车预约充电控制方法提供的步骤的程序代码。
根据本发明实施例的另一方面，本申请还提供了一种存储介质，用于保存电动汽车预约充电控制方法所执行的程序代码。
在本发明实施例中，采用获取预约充电信息和预先设置的优化控制参数；获取与预约充电信息预先绑定车辆的车辆状态信息；根据预约充电信息和车辆状态信息，确定车辆的预约充电方案集合；使用预先设置的优化控制参数从预约充电方案集合中筛选得到推荐充电方案的方式，通过第一获取模块，用于获取预约充电信息和预先设置的优化控制参数；第二获取模块，用于获取与预约充电信息预先绑定车辆的车辆状态信息；确定模块，用于根据预约充电信息和车辆状态信息，确定车辆的预约充电方案集合；第一处理模块，用于使用优化控制参数从预约充电方案集合中筛选得到推荐充电方案，达到了将充电系统全局的优化目标和用户的充电需求相结合，优化充电资源使用的目的，进而解决了由于无法对电动车的预约充电进行优化，导致的充电设备资源浪费和用户充电体验欠佳的技术问题。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。通过附图所示，本发明的上述及其它目的、特征和优势将更加清晰。在全部附图中相同的附图标记指示相同的部分。并未刻意按实际尺寸等比例缩放绘制附图，重点在于示出本发明的主旨。
图1是根据本发明实施例的一种电动汽车预约充电控制方法的流程图；
图2是根据本发明实施例的预约充电控制方法的原理图；
图3是根据本发明实施例的一种电动汽车预约充电控制装置的结构示意图；
图4是根据本发明实施例的一种优选的电动汽车预约充电控制装置的确定模块的结构示意图；
图5是根据本发明实施例的一种优选的电动汽车预约充电控制装置的确定模块中的子生成模块结构示意图；
图6是根据本发明实施例的一种优选的电动汽车预约充电控制装置的第一处理模块的结构示意图；
图7是根据本发明实施例的一种优选的电动汽车预约充电控制装置的第一获取模块的结构示意图；
图8是根据本发明实施例的一种优选的电动汽车预约充电控制装置的第一处理模块的结构示意图；以及
图9是根据本发明实施例的一种优选的电动汽车预约充电控制装置的结构示意图。
具体实施方式
为了使本技术领域的人员更好地理解本发明实施例中的技术方案，并使本发明实施例解决在浏览页面过程中，对于定位操作繁琐的问题时，可以实现的目的、特征和优点能够更加明显易懂，下面结合附图对本发明提供的定位页面内容的方法和装置的实施例中技术方案作进一步详细的说明。
为了使本技术领域的人员更好地理解本发明方案，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分的实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本发明保护的范围。
需要说明的是，本发明的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本发明的实施例能够以除了在这里图示或描述的那些以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
根据本发明实施例，提供了一种电动汽车预约充电控制方法实施例，需要说明的是，在附图的流程图示出的步骤可以在诸如一组计算机可执行指令的计算机系统中执行，并且，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。
图1是根据本发明实施例电动汽车预约充电控制方法的流程图，如图1所示，该方法包括如下步骤：
步骤S11，获取预约充电信息和预先设置的优化控制参数。
步骤S13，获取与预约充电信息预先绑定车辆的车辆状态信息。
步骤S15，根据预约充电信息和车辆状态信息，确定车辆的预约充电方案集合。
步骤S17，使用优化控制参数从预约充电方案集合中筛选得到推荐充电方案。
通过上述步骤S11至步骤S17，可以实现根据车辆状态信息对预约充电方案进行优化，并根据优化控制参数对经过优化的充电方案进行筛选，得到最优的充电方案。达到将充电系统全局的优化目标和用户的充电需求相结合，优化充电资源使用的目的，解决由于无法对电动车的预约充电进行优化，导致的充电设备资源浪费和用户充电体验欠佳的技术问题。
作为一个可选的实施方式，基于互联网技术，可以通过互联网将车辆、充电站、乃至充电站中的各个充电口建立用于采集状态信息的网络连接，从而可以通过互联网实时获取车辆、充电站、充电站中的各个充电口的状态信息。
作为一个可选的实施方式，在预约充电信息中，可以包含用户的账户信息、预约充电位置、预约充电时间。其中，预约充电位置可以是某一个明确的可用的充电口，也可以是一个或多个充电站内的任意一个可用的充电口。预约充电时间可以包括开始充电时间和结束充电时间。
作为一个可选的实施方式，在获取车辆状态信息时，可以从车辆的行车电脑中，直接读取电动汽车的剩余电量信息(荷电状态SOC)、车辆位置信息、电池额定容量信息等。通过剩余电量信息和电池额定容量，可以推算得到将车辆的电池充满所需要的时间。通过剩余电量信息，可以推算得到车辆的续航里程。进一步的，通过车辆的续航里程和车辆位置信息，可以推算得到车辆的活动范围。根据上述信息，可以准确的为系统提供备选的充电方案。当然，为了进一步提高为系统提供备选充电方案的准确性，在获取上述车辆状态信息外，还可以同时获取车辆的行驶速度和方向等，从而确定车辆的形势趋势信息。
作为一个可选的实施方式，在上述步骤S15根据预约充电信息和车辆状态信息，确定车辆的预约充电方案集合中，步骤可以包括：
步骤S151，根据车辆剩余电量信息，确定车辆剩余行驶里程。
步骤S153，根据车辆位置信息和车辆剩余行驶里程，确定车辆的行驶范围。
步骤S155，遍历在行驶范围内充电站的充电口的状态信息，状态信息至少包括：空闲、占用和故障。
步骤S157，根据预约充电信息和充电口的状态信息，生成预约充电方案集合。
通过上述步骤S151至步骤S157，在接收到预约充电信息后，系统通过车联网技术，获取到车辆状态信息。通过车辆状态信息确定车辆的行驶范围，通过确定得到的行驶范围，遍历在行驶范围内的所有充电站中充电口的状态信息，通过预约充电信息和充电口的状态信息，组成若干个符合需求的充电方案，由上述若干个充电方案组成预约充电方案集合。其中，充电方案中，至少包括充电地点和充电时间。
作为一个可选的实施方式，在上述步骤S157根据预约充电信息和充电口的状态信息，生成预约充电方案集合中，步骤可以包括：
步骤S1571，根据预约充电信息中的预约充电位置，确定在行驶范围内的各个充电站与预约充电位置的相对距离。
步骤S1573，根据预约充电信息中的预约充电时间，确定各个充电口的状态由占用变为空闲的时间参数。
步骤S1575，根据相对距离和时间参数，确定预约充电方案集合。
通过上述步骤S1571至步骤S1575，提出一种优选的生成预约充电方案集合的方法。首先，计算在车辆行驶范围内的各个充电站与预约充电位置的相对距离，并以预约充电时间为基础，计算在车辆行驶范围内的各个充电口的状态，由占用变为空闲的时间点，距离预约充电时间点的时间参数。如果在预约充电时间点，充电口的状态为空闲，则时间参数为0。将相对距离和时间参数作为各套预约充电方案的属性值，得到预约充电方案集合。
作为一个可选的实施方式，可以在根据相对距离和时间参数，确定预约充电方案集合时，根据相对距离和时间参数，以加权计算的方式，计算得出各个预约充电方案的计算结果，根据计算结果对各个预约充电方案进行排序，选择预定数量的预约充电方案，组成预约充电方案集合，从而缩小选择范围，提高推荐的精准度。
具体的，在步骤S1575根据相对距离和时间参数，确定预约充电方案集合中，步骤可以包括：
步骤S15751，根据相对距离，确定预约充电方案集合中的各个预约充电方案的距离权重值。
步骤S15753，根据时间参数，确定预约充电方案集合中的各个预约充电方案的时间权重值。
步骤S15755，根据距离权重值和时间权重值，计算得出预约充电方案集合中的各个预约充电方案的参考值。
步骤S15757，根据参考值获取到满足预设条件的预约充电方案，组成预约充电方案集合。
当然，还可以通过例如最小二乘法等其他算法，对各个预约充电方案进行计算，根据计算结果对各个预约充电方案进行排序，确定预约充电方案集合，具体计算方法，此处不做阐述。
作为一个可选的实施方式，优化控制参数可以根据优化控制目标进行设置。根据优化控制目标调整预约充电算法的运算原则，不同的优化控制目标将得到不同的输出结果。优化控制目标可以包括：最小化用户充电等待时间，最小化电网负荷峰谷差，最小化配电网线路损耗，最大化充电设施利用率，最大化用户充电经济性等。
作为一个可选的实施方式，基于用户提供的预约充电信息和充电设施(充电站及充电站中的各个充电口)的占用情况考虑，对预约充电方案集合中的各个预约充电方案采用匹配递归算法，即根据用户侧和充电设施侧两侧的信息条件寻求优化的一一配对结果。并根据优化控制目标，采用自适应变异粒子群算法，确定推荐充电方案。
作为一个可选的实施方式，在步骤S17使用优化控制参数从预约充电方案集合中筛选得到推荐充电方案中，步骤包括：
步骤S171，根据优化控制参数，确定预约充电方案集合中各个预约充电方案的优化参数值。
步骤S173，根据优化参数值，对各个预约充电方案进行排序。
步骤S175，通过各个预约充电方案的排列顺序，确定推荐充电方案。
作为一个可选的实施方式，可以为预约充电的用户建立账户信息，通过账户信息获取当前账户的失约或迟到历史记录。通过失约记录、迟到记录以及当前电动汽车状态等信息，采用白化权函数等灰色聚类算法，将申请预约用户进行信用评级，根据信用评级对预约充电方案进行筛选。
作为一个可选的实施方式，预约充电信息还包括：账户信息，其中，在步骤S11获取预约充电信息和预先设置的优化控制参数中，步骤可以包括：
步骤S111，获取与账户信息对应的充电历史记录。
步骤S113，通过对充电历史记录进行分析，得到账户信息的信用评级。
通过上述步骤S111至步骤S113，分析账户信息中的历史充电记录，根据历史充电记录中的例如失约纪录、迟到记录等内容，分析与账户信息对应的账户的信用评级。通过对账户进行信用评级，可以针对不同信用评级的用户，提供不同的服务。从而鼓励用户如约充电，进一步提高充电设施的利用率。
作为一个可选的实施方式，在步骤S173根据优化参数值，对各个预约充电方案进行排序之前，方法还包括：
步骤S172，根据信用评级，调整优化控制参数。
通过步骤S172，可以为各个信用评级设置不同的调整参数，根据调整参数进一步的对步骤S171中确定的优化参数值进行调整，得到步骤S173中用于排序的优化参数值。
作为一个可选的实施方式，在步骤S15根据预约充电信息和车辆状态信息，确定车辆的预约充电方案集合之后，方法还包括：
步骤S161，获取电网负荷信息。
步骤S163，根据电网负荷信息对预约充电方案集合中的预约充电方案进行筛选，得到预约充电方案集合。
随着电动汽车的发展趋势，电动汽车的电池作为负载接入电力系统进行充电，对电网区域负荷变化的影响将日益凸显。所以，为了实现对电网负荷的优化，以及更高效的利用电网资源，可以在上述方法中加入获取电网负荷信息。其中电网负荷信息至少包括：充电口所在区域的日负荷预测曲线(历史数据和预测曲线)、配电网网架结构、配电容量、峰谷分时电价等。
通过步骤S161至步骤S163，根据上述电网负荷信息，计算各个预约充电方案中预约充电位置所在区域，在预约充电时间的负载率，当该负载率超过预先设置的峰值阈值时，对上述预约充电方案进行筛选，降低优化参数值。从而达到根据电网资源，对充电方案集合中的预约充电方案进行筛选的目的。
作为一个可选的实施方式，如图2所示，图2为预约充电控制方法的原理图，用户可以通过电动汽车智能服务平台网站、智能手机APP软件或者电动汽车的行车电脑，向预约充电控制系统提出预约充电申请信息(即用户申请需求)，预约充电控制系统可以根据车辆状态信息(即电动汽车状态)、优化控制参数(即优化控制目标)、充电设施的状态信息(即充电设施状态)、电网负荷信息(即电网需求侧信息)、预约账户的信用评级(即用户信用评级)，向用户推荐包括可预约充电的充电设施信息(即预约充电位置)和可用的充电时段(预约充电时间)的预约充电方案。预约结果是预约充电控制系统接受或者拒绝预约充电控制系统根据预约充电控制方法提供的预约充电方案(预约推荐方案)，如果接受，则确定了用户赴约的充电时段和充电设施地点(一个确定的充电口ID信息或者一定范围内的任意充电口)。如果拒绝，则系统会提供预约充电方案集合中的其它预约充电方案供用户选择。最后，根据用户的选择，生成完整的预约结果。
根据本发明实施例，提供了一种电动汽车预约充电控制装置实施例。图3根据本发明实施例电动汽车预约充电控制装置的结构示意图。
如图3所示，该装置可以包括：第一获取模块21、第二获取模块23、确定模块25和第一处理模块27。
其中，第一获取模块21，用于获取预约充电信息和预先设置的优化控制参数。第二获取模块23，用于获取与预约充电信息预先绑定车辆的车辆状态信息。确定模块25，用于根据预约充电信息和车辆状态信息，确定车辆的预约充电方案集合。第一处理模块27，用于使用优化控制参数从预约充电方案集合中筛选得到推荐充电方案。
此处需要说明的是，上述第一获取模块21、第二获取模块23、确定模块25和第一处理模块27可以作为装置的一部分运行在计算机终端中，可以通过计算机终端中的处理器来执行上述模块实现的功能，计算机终端也可以是智能手机(如Android手机、iOS手机等)、平板电脑、掌声电脑以及移动互联网设备(Mobile Internet Devices，MID)、PAD等终端设备。
作为一个可选的实施方式，如图4所示，在上述确定模块25中，可以包括：第一子确定模块251、第二子确定模块253、第一子处理模块255和子生成模块257。
其中，第一子确定模块251，用于根据车辆剩余电量信息，确定车辆剩余行驶里程；第二子确定模块253，用于根据车辆位置信息和车辆剩余行驶里程，确定车辆的行驶范围；第一子处理模块255，用于遍历在行驶范围内充电站的充电口的状态信息， 状态信息至少包括：空闲、占用和故障；以及子生成模块257，用于根据预约充电信息和充电口的状态信息，生成预约充电方案集合。
通过上述第一子确定模块251、第二子确定模块253、第一子处理模块255和子生成模块257，在接收到预约充电信息后，系统通过车联网技术，获取到车辆状态信息。通过车辆状态信息确定车辆的行驶范围，通过确定得到的行驶范围，遍历在行驶范围内的所有充电站中充电口的状态信息，通过预约充电信息和充电口的状态信息，组成若干个符合需求的充电方案，由上述若干个充电方案组成预约充电方案集合。其中，充电方案中，至少包括充电地点和充电时间。
此处需要说明的是，上述第一子确定模块251、第二子确定模块253、第一子处理模块255和子生成模块257可以作为装置的一部分运行在计算机终端中，可以通过计算机终端中的处理器来执行上述模块实现的功能，计算机终端也可以是智能手机(如Android手机、iOS手机等)、平板电脑、掌声电脑以及移动互联网设备(Mobile Internet Devices，MID)、PAD等终端设备。
作为一个可选的实施方式，如图5所示，在上述子生成模块257中可以包括：第三子确定模块2571、第四子确定模块2573和第五子确定模块2575。
其中，第三子确定模块2571，用于根据预约充电信息中的预约充电位置，确定在行驶范围内的各个充电站与预约充电位置的相对距离；第四子确定模块2573，用于根据预约充电信息中的预约充电时间，确定各个充电口的状态由占用变为空闲的时间参数；以及第五子确定模块2575，用于根据相对距离和时间参数，确定预约充电方案集合。
通过上述第三子确定模块2571、第四子确定模块2573和第五子确定模块2575，可以实现一种优选的生成预约充电方案集合的方法。首先，计算在车辆行驶范围内的各个充电站与预约充电位置的相对距离，并以预约充电时间为基础，计算在车辆行驶范围内的各个充电口的状态，由占用变为空闲的时间点，距离预约充电时间点的时间参数。如果在预约充电时间点，充电口的状态为空闲，则时间参数为0。将相对距离和时间参数作为各套预约充电方案的属性值，得到预约充电方案集合。
此处需要说明的是，上述第三子确定模块2571、第四子确定模块2573和第五子确定模块2575可以作为装置的一部分运行在计算机终端中，可以通过计算机终端中的处理器来执行上述模块实现的功能，计算机终端也可以是智能手机(如Android手机、iOS手机等)、平板电脑、掌声电脑以及移动互联网设备(Mobile Internet Devices，MID)、PAD等终端设备。
作为一个可选的实施方式，可以在根据相对距离和时间参数，确定预约充电方案集合时，根据相对距离和时间参数，以加权计算的方式，计算得出各个预约充电方案的计算结果，根据计算结果对各个预约充电方案进行排序，选择预定数量的预约充电方案，组成预约充电方案集合，从而缩小选择范围，提高推荐的精准度。
具体的，在步骤43根据相对距离和时间参数，确定预约充电方案集合中，步骤可以包括：
步骤431，根据相对距离，确定预约充电方案集合中的各个预约充电方案的距离权重值。
步骤432，根据时间参数，确定预约充电方案集合中的各个预约充电方案的时间权重值。
步骤433，根据距离权重值和时间权重值，计算得出预约充电方案集合中的各个预约充电方案的参考值。
步骤434，根据参考值获取到满足预设条件的预约充电方案，组成预约充电方案集合。
当然，还可以通过例如最小二乘法等其他算法，对各个预约充电方案进行计算，根据计算结果对各个预约充电方案进行排序，确定预约充电方案集合，具体计算方法，此处不做阐述。
作为一个可选的实施方式，如图6所示，在第一处理模块27中，可以包括：第六子确定模块271、第二子处理模块273和第七子确定模块275。
其中，第六子确定模块271，用于根据优化控制参数，确定预约充电方案集合中各个预约充电方案的优化参数值；第二子处理模块273，用于根据优化参数值，对各个预约充电方案进行排序；以及第七子确定模块275，用于通过各个预约充电方案的排列顺序，确定推荐充电方案。
此处需要说明的是，上述第六子确定模块271、第二子处理模块273和第七子确定模块275可以作为装置的一部分运行在计算机终端中，可以通过计算机终端中的处理器来执行上述模块实现的功能，计算机终端也可以是智能手机(如Android手机、iOS手机等)、平板电脑、掌声电脑以及移动互联网设备(Mobile Internet Devices，MID)、PAD等终端设备。
作为一个可选的实施方式，如图7所示，预约充电信息还包括：账户信息，其中，第一获取模块21可以包括：子获取模块211和子分析模块213。
其中，子获取模块211，用于获取与账户信息对应的充电历史记录；以及子分析模块213，用于通过对充电历史记录进行分析，得到账户信息的信用评级。
通过上述子获取模块211和子分析模块213分析账户信息中的历史充电记录，根据历史充电记录中的例如失约纪录、迟到记录等内容，分析与账户信息对应的账户的信用评级。通过对账户进行信用评级，可以针对不同信用评级的用户，提供不同的服务。从而鼓励用户如约充电，进一步提高充电设施的利用率。
此处需要说明的是，上述子获取模块211和子分析模块213可以作为装置的一部分运行在计算机终端中，可以通过计算机终端中的处理器来执行上述模块实现的功能，计算机终端也可以是智能手机(如Android手机、iOS手机等)、平板电脑、掌声电脑以及移动互联网设备(Mobile Internet Devices，MID)、PAD等终端设备。
作为一个可选的实施方式，如图8所示，第一处理模块27还可以包括：子调整模块272。其中，子调整模块，用于根据信用评级，调整优化控制参数。
此处需要说明的是，上述子调整模块272可以作为装置的一部分运行在计算机终端中，可以通过计算机终端中的处理器来执行上述模块实现的功能，计算机终端也可以是智能手机(如Android手机、iOS手机等)、平板电脑、掌声电脑以及移动互联网设备(Mobile Internet Devices，MID)、PAD等终端设备。
作为一个可选实施例，如图9所示，上述装置还包括：第三获取模块261和第二处理模块263。
其中，第三获取模块261，用于获取电网负荷信息。第二处理模块263，用于根据电网负荷信息对预约充电方案集合中的预约充电方案进行筛选，得到预约充电方案集合。
此处需要说明的是，上述第三获取模块261和第二处理模块263可以作为装置的一部分运行在计算机终端中，可以通过计算机终端中的处理器来执行上述模块实现的功能，计算机终端也可以是智能手机(如Android手机、iOS手机等)、平板电脑、掌声电脑以及移动互联网设备(Mobile Internet Devices，MID)、PAD等终端设备。
随着电动汽车的发展趋势，电动汽车的电池作为负载接入电力系统进行充电，对电网区域负荷变化的影响将日益凸显。所以，为了实现对电网负荷的优化，以及更高 效的利用电网资源，可以在上述方法中加入获取电网负荷信息。其中电网负荷信息至少包括：充电口所在区域的日负荷预测曲线(历史数据和预测曲线)、配电网网架结构、配电容量、峰谷分时电价等。
通过第三获取模块261和第二处理模块263，根据上述电网负荷信息，计算各个预约充电方案中预约充电位置所在区域，在预约充电时间的负载率，当该负载率超过预先设置的峰值阈值时，对上述预约充电方案进行筛选，降低优化参数值。从而达到根据电网资源，对充电方案集合中的预约充电方案进行筛选的目的。
本发明的实施例可以提供一种计算机终端，该计算机终端可以是计算机终端群中的任意一个计算机终端设备。可选地，在本实施例中，上述计算机终端也可以替换为移动终端等终端设备。
可选地，在本实施例中，上述计算机终端可以位于计算机网络的多个网络设备中的至少一个网络设备。
在本实施例中，上述计算机终端可以执行电动汽车预约充电控制方法中以下步骤的程序代码：车辆位置信息、车辆剩余电量信息、电池额定容量信息，其中，根据预约充电信息和车辆状态信息，确定车辆的预约充电方案集合的步骤包括：根据车辆剩余电量信息，确定车辆剩余行驶里程；根据车辆位置信息和车辆剩余行驶里程，确定车辆的行驶范围；遍历在行驶范围内充电站的充电口的状态信息，状态信息至少包括：空闲、占用和故障；根据预约充电信息和充电口的状态信息，生成预约充电方案集合。
可选地，该计算机终端可以包括：一个或多个处理器、存储器、以及传输装置。
其中，存储器可用于存储软件程序以及模块，如本发明实施例中的电动汽车预约充电控制方法及装置方法及装置对应的程序指令/模块，处理器通过运行存储在存储器内的软件程序以及模块，从而执行各种功能应用以及数据处理，即实现上述的电动汽车预约充电控制方法及装置方法。存储器可包括高速随机存储器，还可以包括非易失性存储器，如一个或者多个磁性存储装置、闪存、或者其他非易失性固态存储器。在一些实例中，存储器可进一步包括相对于处理器远程设置的存储器，这些远程存储器可以通过网络连接至终端。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
上述的传输装置用于经由一个网络接收或者发送数据。上述的网络具体实例可包括有线网络及无线网络。在一个实例中，传输装置包括一个网络适配器(Network Interface Controller，NIC)，其可通过网线与其他网络设备与路由器相连从而可与互联 网或局域网进行通讯。在一个实例中，传输装置为射频(Radio Frequency，RF)模块，其用于通过无线方式与互联网进行通讯。
其中，具体地，存储器用于存储预设动作条件和预设权限用户的信息、以及应用程序。
处理器可以通过传输装置调用存储器存储的信息及应用程序，以执行上述方法实施例中的各个可选或优选实施例的方法步骤的程序代码。
本领域普通技术人员可以理解，计算机终端也可以是智能手机(如Android手机、iOS手机等)、平板电脑、掌声电脑以及移动互联网设备(Mobile Internet Devices，MID)、PAD等终端设备。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过程序来指令终端设备相关的硬件来完成，该程序可以存储于一计算机可读存储介质中，存储介质可以包括：闪存盘、只读存储器(Read-Only Memory，ROM)、随机存取器(Random Access Memory，RAM)、磁盘或光盘等。
本发明的实施例还提供了一种存储介质。可选地，在本实施例中，上述存储介质可以用于保存上述方法实施例和装置实施例所提供的电动汽车预约充电控制方法及装置所执行的程序代码。
可选地，在本实施例中，上述存储介质可以位于计算机网络中计算机终端群中的任意一个计算机终端中，或者位于移动终端群中的任意一个移动终端中。
可选地，在本实施例中，存储介质被设置为存储用于执行以下步骤的程序代码：获取预约充电信息和预先设置的优化控制参数；获取与预约充电信息预先绑定车辆的车辆状态信息；根据预约充电信息和车辆状态信息，确定车辆的预约充电方案集合；使用预先设置的优化控制参数从预约充电方案集合中筛选得到推荐充电方案。
可选地，在本实施例中，存储介质还可以被设置为存储用于执行电动汽车预约充电控制方法提供的各种优选地或可选的方法步骤的程序代码。
上述本发明实施例序号仅仅为了描述，不代表实施例的优劣。
在本发明的上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的技术内容，可通过其它的方式实现。其中，以上所描述的装置实施例仅仅是示意性的，例如所述单元的划分，可以为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，单元或模块的间接耦合或通信连接，可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网络设备等)执行本发明各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述仅是本发明的优选实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本发明原理的前提下，还可以做出若干改进和润饰，这些改进和润饰也应视为本发明的保护范围。

Claims (17)

  1. 一种电动汽车预约充电控制方法，其特征在于，包括：
    获取预约充电信息和预先设置的优化控制参数；
    获取与所述预约充电信息预先绑定车辆的车辆状态信息；
    根据所述预约充电信息和所述车辆状态信息，确定所述车辆的预约充电方案集合；以及
    使用所述优化控制参数从所述预约充电方案集合中筛选得到推荐充电方案。
  2. 根据权利要求1所述的方法，其特征在于，所述车辆状态信息至少包括如下任意一个或多个信息：车辆位置信息、车辆剩余电量信息、电池额定容量信息，其中，根据所述预约充电信息和所述车辆状态信息，确定所述车辆的预约充电方案集合的步骤包括：
    根据所述车辆剩余电量信息，确定车辆剩余行驶里程；
    根据所述车辆位置信息和所述车辆剩余行驶里程，确定所述车辆的行驶范围；
    遍历在所述行驶范围内充电站的充电口的状态信息，所述状态信息至少包括：空闲、占用和故障；以及
    根据所述预约充电信息和所述充电口的状态信息，生成预约充电方案集合。
  3. 根据权利要求2所述的方法，其特征在于，根据所述预约充电信息和所述充电口的状态信息，生成预约充电方案集合的步骤包括：
    根据所述预约充电信息中的预约充电位置，确定在所述行驶范围内的各个充电站与所述预约充电位置的相对距离；
    根据所述预约充电信息中的预约充电时间，确定所述各个充电口的状态由所述占用变为所述空闲的时间参数；以及
    根据所述相对距离和所述时间参数，确定所述预约充电方案集合。
  4. 根据权利要求3所述的方法，其特征在于，根据所述相对距离和所述时 间参数，确定所述预约充电方案集合包括：
    根据所述相对距离，确定所述预约充电方案集合中的各个预约充电方案的距离权重值；
    根据所述时间参数，确定所述预约充电方案集合中的各个预约充电方案的时间权重值；
    根据所述距离权重值和所述时间权重值，计算得出所述预约充电方案集合中的各个预约充电方案的参考值；以及
    根据所述参考值获取到满足预设条件的预约充电方案，组成所述预约充电方案集合。
  5. 根据权利要求3所述的方法，其特征在于，使用所述优化控制参数从所述预约充电方案集合中筛选得到推荐充电方案包括：
    根据所述优化控制参数，确定所述预约充电方案集合中各个预约充电方案的优化参数值；
    根据所述优化参数值，对所述各个预约充电方案进行排序；以及
    通过所述各个预约充电方案的排列顺序，确定所述推荐充电方案。
  6. 根据权利要求5所述的方法，其特征在于，所述预约充电信息还包括：账户信息，其中，获取预约充电信息和预先设置的优化控制参数包括：
    获取与所述账户信息对应的充电历史记录；以及
    通过对所述充电历史记录进行分析，得到所述账户信息的信用评级。
  7. 根据权利要求6所述的方法，其特征在于，在根据所述优化参数值，对所述各个预约充电方案进行排序之前，所述方法还包括：
    根据所述信用评级，调整所述优化控制参数。
  8. 根据权利要求1所述的方法，其特征在于，在根据所述预约充电信息和所述车辆状态信息，确定所述车辆的预约充电方案集合之后，所述方法还包括：
    获取电网负荷信息；以及
    根据所述电网负荷信息对所述预约充电方案集合中的所述预约充 电方案进行筛选，得到预约充电方案集合。
  9. 一种电动汽车预约充电控制装置，其特征在于，包括：
    第一获取模块，用于获取预约充电信息和预先设置的优化控制参数；
    第二获取模块，用于获取与所述预约充电信息预先绑定车辆的车辆状态信息；
    确定模块，用于根据所述预约充电信息和所述车辆状态信息，确定所述车辆的预约充电方案集合；以及
    第一处理模块，用于使用所述优化控制参数从所述预约充电方案集合中筛选得到推荐充电方案。
  10. 根据权利要求9所述的装置，其特征在于，所述车辆状态信息至少包括如下任意一个或多个信息：车辆位置信息、车辆剩余电量信息、电池额定容量信息，其中，所述确定模块包括：
    第一子确定模块，用于根据所述车辆剩余电量信息，确定车辆剩余行驶里程；
    第二子确定模块，用于根据所述车辆位置信息和所述车辆剩余行驶里程，确定所述车辆的行驶范围；
    第一子处理模块，用于遍历在所述行驶范围内充电站的充电口的状态信息，所述状态信息至少包括：空闲、占用和故障；以及
    子生成模块，用于根据所述预约充电信息和所述充电口的状态信息，生成预约充电方案集合。
  11. 根据权利要求10所述的装置，其特征在于，所述子生成模块包括：
    第三子确定模块，用于根据所述预约充电信息中的预约充电位置，确定在所述行驶范围内的各个充电站与所述预约充电位置的相对距离；
    第四子确定模块，用于根据所述预约充电信息中的预约充电时间，确定所述各个充电口的状态由所述占用变为所述空闲的时间参数；以及
    第五子确定模块，用于根据所述相对距离和所述时间参数，确定所述预约充电方案集合。
  12. 根据权利要求11所述的装置，其特征在于，所述第一处理模块包括：
    第六子确定模块，用于根据所述优化控制参数，确定所述预约充电方案集合中各个预约充电方案的优化参数值；
    第二子处理模块，用于根据所述优化参数值，对所述各个预约充电方案进行排序；以及
    第七子确定模块，用于通过所述各个预约充电方案的排列顺序，确定所述推荐充电方案。
  13. 根据权利要求12所述的装置，其特征在于，所述预约充电信息还包括：账户信息，其中，所述第一获取模块包括：
    子获取模块，用于获取与所述账户信息对应的充电历史记录；以及
    子分析模块，用于通过对所述充电历史记录进行分析，得到所述账户信息的信用评级。
  14. 根据权利要求13所述的装置，其特征在于，所述第一处理模块还包括：
    子调整模块，用于根据所述信用评级，调整所述优化控制参数。
  15. 根据权利要求9所述的装置，其特征在于，所述装置还包括：
    第三获取模块，用于获取电网负荷信息；以及
    第二处理模块，用于根据所述电网负荷信息对所述预约充电方案集合中的所述预约充电方案进行筛选，得到预约充电方案集合。
  16. 一种计算机终端，用于执行所述权利要求1所述的电动汽车预约充电控制方法提供的步骤的程序代码。
  17. 一种存储介质，用于保存所述权利要求1所述的电动汽车预约充电控制方法所执行的程序代码。
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