CN105844432A - VANET based electric automobile charge scheduling system and method - Google Patents

VANET based electric automobile charge scheduling system and method Download PDF

Info

Publication number
CN105844432A
CN105844432A CN201610285940.9A CN201610285940A CN105844432A CN 105844432 A CN105844432 A CN 105844432A CN 201610285940 A CN201610285940 A CN 201610285940A CN 105844432 A CN105844432 A CN 105844432A
Authority
CN
China
Prior art keywords
charging
charging station
user
electric automobile
intelligent electric
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201610285940.9A
Other languages
Chinese (zh)
Inventor
苏洲
惠慧
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
University of Shanghai for Science and Technology
Original Assignee
University of Shanghai for Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by University of Shanghai for Science and Technology filed Critical University of Shanghai for Science and Technology
Priority to CN201610285940.9A priority Critical patent/CN105844432A/en
Publication of CN105844432A publication Critical patent/CN105844432A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/30Constructional details of charging stations
    • B60L53/31Charging columns specially adapted for electric vehicles
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/12Electric charging stations
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/16Information or communication technologies improving the operation of electric vehicles
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/16Information or communication technologies improving the operation of electric vehicles
    • Y02T90/167Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S30/00Systems supporting specific end-user applications in the sector of transportation
    • Y04S30/10Systems supporting the interoperability of electric or hybrid vehicles
    • Y04S30/12Remote or cooperative charging

Abstract

The invention discloses a VANET (Vehicular Ad-hoc Network) based electric automobile charge scheduling system and method. The system includes an electric automobile intelligent electric meter system, a road side unit RSU, a server and a charge station intelligent electric meter system. The electric automobile intelligent electric meter system includes an intelligent electric meter, a vehicle GPS positioning device, an application unit AU and an onboard unit OBU. The charge station intelligent electric meter system includes an intelligent electric meter and a charge station control and management unit. The method includes that charge stations make charge prices according to geographic locations and lining conditions; a server calculates and obtains an optimal charge station strategy according to real time dynamic information of the charge stations and electric automobiles; and a user determines whether to charge or not according to the received optical strategy and stands in a line in an interface of a target charge station through an application unit.

Description

Charging electric vehicle dispatching patcher based on VANET and method
Technical field
The invention belongs to electric vehicle engineering field, more specifically, relate to a kind of based on VANET (vehicular ad-hoc Network, vehicle self-organizing network) charging electric vehicle dispatching patcher and method.
Background technology
Along with rising and the enhancing of mankind's environmental consciousness of Fossil fuel cost, electric automobile has as a kind of green traffic instrument Help relax greenhouse gas emission.Along with the extensive introducing of the new forms of energy with intermittence, unpredictability, bring the biggest Undulatory property, brings impact to the safe and stable operation of electrical network, and the scheduling of electric automobile contributes to relaxing this problem.Additionally, grind Study carefully and show to replace fuel-engined vehicle will bring the biggest economy return with electric automobile.Therefore electric automobile is paid close attention to by each side, and by Gradually occupy the increasing market share.And large-scale electric automobile is so uncontrolled that to be connected to the grid and also can work the mischief electrical network, And the charging station with geography superiority often attracts more charge requirement, cause the imbalance of demand, therefore to electric automobile Scheduling problem is also the focus of research.
Owing to wireless technology and the progress of auto industry and people are gone on a journey custom, VANET is as a kind of special movable self-organization Network arises at the historic moment.VANET can improve traffic safety factor, optimizes traffic flow, reduces traffic jam, it is provided that network connects Enter and entertainment applications, data sharing etc., bring the biggest facility and benefit to the life of people.VANET is used for electric automobile Scheduling can bring the biggest facility, contribute to user faster Information.
Summary of the invention
For problem above, in order to make user faster convenient queuing request charging service and equilibrium charging demand, the present invention Purpose be to provide a kind of charging electric vehicle dispatching patcher based on VANET and method, for user time-consuming while, Improve the stability of electrical network.
The technical solution adopted in the present invention is:
A kind of charging electric vehicle dispatching patcher based on VANET, including electric automobile intelligent electric meter system, roadside unit RSU (road-side unit, drive test unit), server, charging station intelligent electric meter system;Described electric automobile intelligent electric meter system bag Include intelligent electric meter SM (smart meter, intelligent electric meter), vehicle GPS (global position system, global positioning system) Positioner, and applying unit AU (application unit, applying unit), board units OBU (on board unit, vehicle-mounted Unit), described charging station intelligent electric meter system includes intelligent electric meter, and charging station controls administrative unit;Described electric automobile Intelligent electric The intelligent electric meter of table system, vehicle-mounted GPS positioning system respectively with board units wired connection, described applying unit and board units Wired or wireless connection, between described board units and board units, board units and roadside unit are respectively through V2V (vehicle-to-vehicle, car and car), V2R (vehicle-to-RSU, car and base station) realizes radio communication, described trackside Being wired connection between unit and roadside unit, described roadside unit, charging station controls administrative unit company wired with server respectively Connecing, the intelligent electric meter of described charging station intelligent electric meter system and charging station control wired connection between administrative unit.
Wherein the function of the intelligent electric meter of electric automobile intelligent electric meter system is state of charge SoC (the state of of detection battery Charge, state of charge), the speed of electric automobile, discharge and recharge and the phase contrast according to voltage and current waveform judge energy The direction of flowing, i.e. electric automobile carries energy to electrical network energy feeding or electrical network to electric automobile, according to historical data and use Family input data calculate the discharge and recharge custom of user, when meeting certain state of charge and meeting user's discharge and recharge custom by application Unit pushes discharge and recharge suggestion to user;Described vehicle-mounted GPS positioning system is used for positioning electric automobile position and providing extremely The shortest path navigation of target charging station;Described applying unit is mobile phone Mobile solution or the embedded single being integrated in board units Unit, when electric automobile user needs charging service, directly by this applying unit queuing number-taking, and has Push Service, gives User saves the regular hour;Described board units is loaded on electric automobile, and electric automobile information is logical between board units Cross V2V wireless communications relay to forward;Described roadside unit is uniformly deployed in road both sides, is collected by V2R radio communication The electric automobile information transmitted by board units;The function of the intelligent electric meter in described charging station intelligent electric meter system is to gather electricity The history of net and real-time electric power pricing information, detect the charge volume to electric automobile conveying, calculates situation of queuing up in real time, formulates real Time charging price;It is to transmit real time charging station information to server that described charging station controls the function of administrative unit, will be single in application The user queued up in unit and the user arriving charging station are queued up;Described server controls according to roadside unit and charging station The information that administrative unit conveying comes is calculated optimum charging station strategy;Described roadside unit transmits receiving server After dominant strategy, send electric automobile user to through R2V (RSU-to-vehicle, base station and car) and V2V radio communication.
When the intelligent electric meter of electric automobile intelligent electric meter system detects that SoC is less than certain threshold value set in advance or meets user's During charging custom, electric automobile will consider charging service;Mode of operation to applying unit can be keystroke pattern, touch screen pattern Or audio control pattern;Charging station controls administrative unit and includes positional information to the real time charging station information that server sends, and fills in real time Electricity price lattice, surcharge and queuing situation, wherein real time charging price relates to areal variation and demand adjusts;Charging station control Tubulation reason Elementary Function may also include and pushes prompting message to user, and the setting to PUSH message can be according to the preference of user and life Custom set, including reminder time starting point, alert interval time.Equally, when the Intelligent electric of electric automobile intelligent electric meter system Table detects that SoC meets user when the custom of electrical network energy feeding while being higher than certain threshold value set in advance, electric automobile To consider to discharge to electrical network.
The present invention makes discussion with regard to charging electric vehicle situation.Consider the different user characteristic and not of different user under practical situation Same living habit, user is eager to charging electric vehicle sometimes, is willing to seek preferential charging service with higher price, for people Propertyization considers, introduces priority so that the user seeking Priority Service can enjoy a kind of non-conversion formula Priority Service, but wants extra Pay certain expense, thus electric automobile user is divided into two classes: a. seek Priority Service VIP (very important person, Honored guest) user;B. domestic consumer.
Non-conversion formula Priority Service, i.e. has when the VIP user of higher priority arrives charging station (for using applying unit row When the user of team is confirmation charging selection), if charging pile is all providing charging service, that no matter accept charging service is VIP User or domestic consumer, it all can not seize charging pile.
A kind of charging electric vehicle dispatching method based on VANET, comprises the steps:
The intelligent electric meter of the most each charging station combines residing ground fragment position and power price information, according to situation of currently queuing up, system Determine real time charging price, and controlled administrative unit to server transmission real time charging station information by charging station;
S200. detect that SoC is less than certain threshold value or meets the charging of user when the intelligent electric meter in electric automobile intelligent electric meter system During custom, board units sends charging service demand and electric automobile real time information to server;
S300. server is according to the electric automobile received and the real time information of charging station, is calculated the optimum charging of electric automobile Stand strategy and function value of utility;
S400. the optimum charging station strategy that board units will receive, function value of utility and this charge station information pass through applying unit It is pushed to user;
S500. user's judgement according to self-demand and to function value of utility chooses whether charging, if confirming, charging selects, directly By applying unit in target charging station interface queuing number-taking;
S600. after the charging station control administrative unit of target charging station receives the queueing message transmitted by applying unit, by user Enter charging queue;
S700., during user's target to be gone to charging station, decision-making, vehicle GPS are sent by applying unit to vehicle-mounted GPS positioning system The shortest path provided to target charging station is navigated by positioner.
Step S600A can also be included: judge that user reminds service the need of pushing, be, then by user after step S600 Arrange, send pushed information at special time to applying unit;No, then carry out step S700.
Concretely comprising the following steps of described step S100:
S110. calculate average queuing latency, averagely wait in line team leader;
S120. charging station j is according to setting area, residing location price fj (1), calculate demand according to queuing situation and adjust price fj (2), Charging price f is tried to achieve in weightingj
S130. real time charging station information is transmitted to server, including charging price, surcharge, positional information, queuing situation.
In described step S200, when SoC is less than predetermined threshold or meets the charging custom of user, electric automobile considers charging, The setting of this threshold value can be arranged by producer, it is possible to by User Defined.The once intelligent electric meter in electric automobile intelligent electric meter system Detect that SoC is less than setting value, then board units sends charge requirement and electric automobile real time information to server.Letter in real time Breath includes real time position, demand electricity, user's weighting parameter.
Concretely comprising the following steps of described step S300:
S310. according to user personality, the every weights of utility function and customer parameter value are determined;
S320. calculate each charging station value of utility to user according to electric automobile and charging station real time information, obtain object function;
S330. optimization object function, obtains optimum charging station selection strategy.
The present invention has a following remarkable advantage:
By means of VANET environment, it is allowed to user, when charging service sought by needs, directly can be filled in target by applying unit Queuing number-taking under interface, power station, saves a certain amount of time.
Dispatching patcher can arrange prompting service, according to the PUSH message setting directional user's dispatcher queue situation of user, it is not necessary to stop Stay charging station, provide effective scheme waiting in charging interval too long of problem.
Allow user to seek Priority Service under conditions of paying additional expense, provide the user a kind of hommization dispatching method.
Consider that location difference and demand adjust, propose a kind of pricing mechanism, make charging price dynamically change along with queuing situation, It is beneficial to adjust charge requirement, improves grid stability.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of present invention charging electric vehicle based on VANET dispatching patcher.
Fig. 2 is the present invention applying unit interface schematic diagram without push function.
Fig. 3 is the applying unit interface schematic diagram that the present invention possesses push function.
Fig. 4 is the present invention flow chart without the charging electric vehicle dispatching method based on VANET of push function.
Fig. 5 is the flow chart that the present invention possesses the charging electric vehicle dispatching method based on VANET of push function.
Fig. 6 is the particular flow sheet of step S100 in Fig. 4 or Fig. 5.
Fig. 7 is the particular flow sheet of step S300 in Fig. 4 or Fig. 5.
Detailed description of the invention
Below in conjunction with the accompanying drawings, the specific embodiment of the present invention is described in further detail.
Fig. 1 is the schematic diagram of present invention charging electric vehicle based on VANET dispatching patcher.
1, in the present embodiment, as it is shown in figure 1, a kind of charging electric vehicle dispatching patcher based on VANET, including electronic Automobile intelligent electric meter system 100, roadside unit 200, server 300, charging station intelligent electric meter system 400;Described electronic vapour Car intelligent electric meter system 100 includes intelligent electric meter 110, vehicle-mounted GPS positioning system 120, applying unit 130, board units 140, described charging station intelligent electric meter system 400 includes intelligent electric meter 410, and charging station controls administrative unit 420;Described intelligence Ammeter 110, vehicle-mounted GPS positioning system 120 respectively with board units 140 wired connection, described applying unit 130 is with vehicle-mounted The wired or wireless connection of unit 140, between described board units 140 and board units 140, board units 140 and trackside list Unit 200 realizes radio communication through V2V, V2R respectively, wired connection between described roadside unit 200 and roadside unit 200, Described roadside unit 200, charging station control administrative unit 420 respectively with server 300 wired connection, described intelligent electric meter 410 And charging station controls wired connection between administrative unit 420.
Intelligent electric meter 110 in electric automobile intelligent electric meter system 100 is for detecting the state of charge of battery, the car of electric automobile Speed, discharge and recharge and the phase contrast according to voltage and current waveform judge that the direction of energy Flow, i.e. electric automobile are presented to electrical network Send energy or electrical network carry energy to electric automobile, calculate the discharge and recharge custom of user according to historical data and user input data, Push discharge and recharge by applying unit 130 to user when meeting certain state of charge and meeting user's discharge and recharge custom to advise;Car Carry GPS positioner 120 for positioning electric automobile position and the shortest path provided when needed to target charging station Navigation;Board units 140 is loaded on electric automobile, for dynamic by V2V wireless communication technology relay forwarding electric automobile Information;Roadside unit 200 is uniformly deployed in road both sides, for being collected by board units 140 by V2R wireless communication technology Transmit the electric automobile multidate information of coming, and transmitted to server 300 by wired connection;Charging station intelligent electric meter system 400 In intelligent electric meter 410 for gathering history and the power price information of electrical network, detect the charge volume to electric automobile input, Calculate situation of queuing up in real time, formulate real time charging price;Charging station controls the function of administrative unit 420 and includes to server 300 Transmit real time charging station information, the user of the user queued up on applying unit 130 and arrival charging station is queued up;Clothes The real time information that business device 300 then controls administrative unit 420 conveying next according to roadside unit 200 and charging station is calculated optimum Charging station strategy.Roadside unit 200 is after receiving the optimal strategy that server 300 transmission comes, wireless through R2V and V2V Communication technology sends electric automobile user to.
Charging station controls administrative unit 420 and includes positional information, real time charging to the real time charging station information that server 300 sends Price, seeks surcharge and the queuing situation of Priority Service, and wherein real time charging price relates to areal variation and demand is adjusted Whole.
When the intelligent electric meter 110 in electric automobile intelligent electric meter system 100 detects that battery state of charge is less than certain and presets Threshold value or meet user charging custom time, electric automobile will consider charging service, and the setting to threshold value can be fixed value, also Can set according to the living habit of user and actual demand.
Fig. 2 is the applying unit 130 interface schematic diagram without push function.
In the present embodiment, move app (application: application program) as in figure 2 it is shown, applying unit 130 can be mobile phone, The embedded unit of board units 140 can also be integrated with, when electric automobile user needs charging service, can directly pass through This applying unit 130 queuing number-taking, and there is Push Service, save the regular hour to user;To applying unit 130 Mode of operation can be keystroke pattern, touch screen pattern or audio control pattern.
Considering the different user characteristic of different user under practical situation and different living habit, user is eager to electronic vapour sometimes Car charges, and is willing to seek preferential charging service with higher price, considers for hommization, introduces priority so that seek preferential The user of service can enjoy a kind of non-conversion formula Priority Service, but additionally to pay certain expense, therefore electric automobile user is divided into Two classes: a. seeks the VIP user of Priority Service;B. domestic consumer.The user being not excluded for is out of habit or nearby principle considers, Select directly to arrive charging station queuing number-taking, but the present invention relates to the scheduling using applying unit 130 queuing number-taking user, And only will directly arrive user's factor as an influence of charging station queuing number-taking.
Non-conversion formula Priority Service, i.e. has when the VIP user of higher priority arrives charging station (for using applying unit 130 When the user queued up is confirmation charging selection), if charging pile is all providing charging service, that no matter accept charging service is VIP User or domestic consumer, it all can not seize charging pile.The average queuing latency of VIP user is two parts time sum: The average charge temporal summation coming VIP user above and the average latency having the charging pile free time to get off;Domestic consumer Average queuing latency be three part sums: come VIP user above and domestic consumer average charge temporal summation, Have average latency that the charging pile free time gets off and the Priority Service of VIP user that arrives at waiting time to cause averagely to delay Temporal summation.
Assuming that VIP user and domestic consumer arrive charging station j with separate Poisson flow respectively, then the user of charging station j arrives Rate is:
λjv,ju,j,
In formula, λjThe arrival rate of charging station j is arrived for all users;λv,jThe arrival rate of charging station j is arrived for VIP user;λu,j The arrival rate of charging station j is arrived for domestic consumer.
In the most any moment, the user of arrival charging station j is that the probability of VIP user and domestic consumer is respectively λv,jjAnd λu,jj
It is separate for supposing that again each charging pile of charging station j charges, and service time all obeys quantum condition entropy, it is assumed that VIP The average charge time of user and domestic consumer is equal, then in charging station j, the average charge time of all users is:
ct j ‾ = E ( ct j ) = ( λ v , j / λ j ) * ( 1 / μ j ) + ( λ u , j / λ j ) * ( 1 / μ j ) = 1 / μ j ,
In formula,The average charge time for users all in charging station j;ctjCharging interval for users all in charging station j; μjAverage service rate for the single charging pile of charging station j.
Fig. 3 is the applying unit 130 interface schematic diagram possessing push function.
In the present embodiment, as it is shown on figure 3, charging station control administrative unit 420 function may also include pushes prompting letter to user Breath, wherein the setting to PUSH message can set according to the preference of user and living habit, including reminder time starting point, reminds Interval time.
Fig. 4,5 respectively the present invention without push function and possess push function charging electric vehicle based on VANET scheduling The flow chart of method.
In the present embodiment, such as Fig. 4, shown in 5, charging electric vehicle dispatching method based on VANET, comprise the steps:
The intelligent electric meter 410 of the most each charging station combines residing ground fragment position and power price information, according to situation of currently queuing up, Formulate real time charging price, and transmitted real time charging station information by charging station control administrative unit 420 to server 300;
S200. detect that SoC is less than certain threshold value or meets user when the intelligent electric meter 110 in electric automobile intelligent electric meter system 100 Charging custom time, board units 140 sends charging service demand and electric automobile real time information to server 300;
S300. server 300 is according to the electric automobile received and the real time information of charging station, is calculated the optimum of electric automobile Charging station strategy and function value of utility;
S400. the optimum charging station strategy that board units 140 will receive, function value of utility and this charge station information are by application Unit 130 is pushed to user;
S500. user's judgement according to self-demand and to function value of utility chooses whether charging, if confirming, charging selects, directly Connected applying unit 130 in target charging station interface queuing number-taking;
S600. the charging station control administrative unit 420 of target charging station receives the queueing message transmitted by applying unit 130 After, user is entered charging queue;
S700., during user's target to be gone to charging station, decision-making is sent by applying unit 130 to vehicle-mounted GPS positioning system 120, The shortest path provided to target charging station is navigated by vehicle-mounted GPS positioning system 120.
Step S600A can also be included after step S600: judge that user, the need of reminding service, is, then by user setup, Propelling movement prompting message is sent to applying unit 130 at special time;No, then carry out step S700.
Fig. 6 is the particular flow sheet of step S100 in Fig. 4 or Fig. 5.
In the present embodiment, as shown in Figure 6, the concretely comprising the following steps of described step S100:
S110. calculate average queuing latency, averagely wait in line team leader:
When all charging piles are all when providing service, and no matter arrive charging station is VIP user or domestic consumer, is required for The stake free time to be charged gets off.Charging pile take unrelated class of subscriber, therefore wait that the average time having the charging pile free time to get off answers root Calculate according to charging station numbers distribution in system, and the average charge time of VIP user and domestic consumer is equal, therefore calculating charging During the average latency that the stake free time gets off, unrelated with the Queue sequence of user, without considering class of subscriber.
Being obtained by Ireland delay formula, after user arrives charging station j, each charging pile of this charging station is all providing charging service Probability be:
Σ n j = N j ∞ p n j = p N j 1 - ρ j ,
Wherein,
ρjj/(μj*Nj)=ρ1j/Nj, ρ1jv,ju,jv,jju,jjjj,
ρv,jv,jj, ρu,ju,jj,
In formula, njNumber for users all in charging station j;NjCharging pile quantity for charging station j;pnjFor in charging station j All user's numbers are njProbability;All user's numbers for charging station j are NjProbability;ρjService for charging station j Intensity;p0jIt is the probability of 0 for user's numbers all in charging station j;ρ1jFor charging pile single in charging station j to all users' Charging service intensity;ρv,jFor the charging pile single in the charging station j charging service intensity to VIP user;ρu,jFor in charging station j The single charging pile charging service intensity to domestic consumer.
Then any user waits having be the average time that the charging pile free time gets off:
Σ n j = N j ∞ p n j * E ( et j ) = Σ n j = N j ∞ p n j * et j ‾ = p N j 1 - ρ j * et j ‾ ,
In formula, etjFor the Residual service time of charging station j, i.e. when user arrives charging station j, if NjIndividual charging pile is the most occupied With, then will also be subjected to etjJust can vacate a charging pile and provide charging service for next user;Average for charging station j Residual service time.
Owing to when calculating the average latency that the charging pile free time gets off, not differentiating between class of subscriber, then user's queue waiting time It is two parts time sum: when coming user's average charge temporal summation above and have average waiting that the charging pile free time gets off Between:
Coming user's average charge temporal summation above is:
ct j ‾ * lq j = lq j / μ j = ρ 1 j * wq j ,
Wherein, lqjj*wqj,
In formula, lqjFor charging station j waits in line the mean number of all users of charging service.
The average latency that the charging pile free time gets off is had to be
,
wq j = p N j 1 - ρ j * et j ‾ + ρ 1 j * wq j ,
,
et j ‾ = ( 1 - ρ j ) * ( 1 - ρ 1 j ) p N j * wq j ,
In formula, wqjAverage queuing latency for users all in charging station j.
By M/M/NjWait that the derivation conclusion of queuing model processed obtains:
wq j = ( ρ j * N j ) N j * p 0 j μ j * N j * N j ! * ( 1 - ρ j ) 2 ,
,
et j ‾ = ( 1 - ρ j ) * ( 1 - ρ 1 j ) p N j * ( ρ j * N j ) N j * p 0 j μ j * N j * N j ! * ( 1 - ρ j ) 2 = 1 - N j * ρ j μ j * N j * ( 1 - ρ j ) ,
The average latency that the charging pile free time gets off then is had to be:
p N j 1 - ρ j * et j ‾ = p N j 1 - ρ j * 1 - N j * ρ j μ j * N j * ( 1 - ρ j ) ,
A. calculate the average queuing latency when VIP user enters the queue of charging station j, averagely wait in line team leader:
VIP user can not seize the charging pile providing charging service, can only come before domestic consumer, its average queuing etc. Treat that the time is made up of two parts:
1) VIP user's average charge temporal summation above is come:
ct v , j ‾ * lq v , j = ct j ‾ * lq v , j = lq v , j / μ j = ρ v , j * wq v , j ,
Wherein, lqv,jv,j*wqv,j,
In formula,For the average charge time of VIP user in charging station j;lqv,jAveragely queue up for VIP user in charging station j Congestion lengths;wqv,jFor the average queuing latency of VIP user in charging station j.
2) average latency that the charging pile free time gets off is had to be
:
wq v , j = ρ v , j * wq v , j + p N j 1 - ρ j * et j ‾ = ρ v , j * wq v , j + p N j 1 - ρ j * 1 - N j * ρ j μ j * N j * ( 1 - ρ j ) ,
Then VIP user at the average queuing latency of charging station j and averagely waits in line team leader and is respectively as follows:
wq v , j = p N j 1 - ρ v , j * 1 - N j * ρ j μ j * N j * ( 1 - ρ j ) 2 ,
lq v , j = λ v , j * wq v , j = λ v , j * p N j 1 - ρ v , j * 1 - N j * ρ j μ j * N j * ( 1 - ρ j ) 2 ,
Wherein:
ρjj/(μj*Nj), ρv,jv,jj, λjv,ju,j,
B. calculate the average queuing latency when domestic consumer enters the queue of charging station j, averagely wait in line team leader:
The average queuing latency of domestic consumer is made up of three parts:
1) the average charge temporal summation coming VIP user above and domestic consumer is respectively as follows:
ct v , j ‾ * lq v , j = ct j ‾ * lq v , j = lq v , j / μ j = ρ v , j * wq v , j ,
ct u , j ‾ * lq u , j = ct j ‾ * lq u , j = lq u , j / μ j = ρ u , j * wq u , j ,
Wherein, lqv,jv,j*wqv,j, lqu,ju,j*wqu,j,
In formula,For the average charge time of domestic consumer in charging station j;lqu,jAveragely queue up for domestic consumer in charging station j Congestion lengths;wqu,jFor the average queuing latency of domestic consumer in charging station j.
2) average latency that the charging pile free time gets off is had to be
3) summation that averagely wastes time that the Priority Service of the VIP user arrived at waiting time causes:
VIP user has Priority Service privilege, during domestic consumer is queued up accepting charging service to it, if there being VIP User arrives charging station j, then VIP user will preferentially be come before this domestic consumer.Owing to waiting in line needed for domestic consumer Time wqu,jPeriod, the average number that VIP user arrives is wqu,jv,j, then its average charge temporal summation needed is:
wq u , j * λ v , j * ct v , j ‾ = wq u , j * ρ v , j ,
,
wq u , j = ρ v , j * wq v , j + ρ u , j * wq u , j + p N j 1 - ρ j * 1 - N j * ρ j μ j * N j * ( 1 - ρ j ) + wq u , j * ρ v , j ,
Then domestic consumer at the average queuing latency of charging station j and averagely waits in line team leader and is respectively as follows:
wq u , j = p N j 1 - ρ j * 1 - N j * ρ j μ j * N j * ( 1 - ρ j ) * 1 1 - ρ u , j - ρ v , j + ρ v , j 1 - ρ u , j - ρ v , j * wq v , j = p N j 1 - ρ j * 1 μ j * N j * ( 1 - ρ j ) + p N j 1 - ρ v , j * ρ v , j μ j * N j * ( 1 - ρ j ) 2 ,
lq u , j = λ u , j * wq u , j = λ u , j * ( p N j 1 - ρ j * 1 μ j * N j * ( 1 - ρ j ) + p N j 1 - ρ v , j * ρ v , j μ j * N j * ( 1 - ρ j ) 2 ) ,
Wherein,
ρjj/(μj*Nj), ρu,ju,jj, ρv,jv,jj, λjv,ju,j,
By calculating process above, the mean number that can obtain all users waiting in line charging service in charging station j is:
lq j = lq v , j + lq u , j = λ v , j * wq v , j + λ u , j * wq u , j = λ v , j * p N j 1 - ρ v , j * 1 - N j * ρ j μ j * N j * ( 1 - ρ j ) 2 + λ u , j * ( p N j 1 - ρ j * 1 μ j * N j * ( 1 - ρ j ) + p N j 1 - ρ v , j * ρ v , j μ j * N j * ( 1 - ρ j ) 2 ) .
S120. charging station j is according to setting area, residing location price fj (1), calculate demand according to queuing situation and adjust price fj (2), Charging price f is tried to achieve in weightingj:
The charging station being located in vantage point often can attract more client, the most just can arrange higher charging price, based on This, area is divided into z region, and the zone price f of charging station in the same area according to certain criterion by the present inventionj (1)Equal. The criterion such as volume of the flow of passengers divided, from intown distance, if for residential quarter, shopping centre or industrial occupancy etc..
According to defined criterion, the zone price f of charging stationj (1)For:
fj (1)=fz
In formula, fzFor the zone price of charging station in the z of region.
In order to adjust charge requirement, the arrival rate of customers of each charging station is made to move close to optimal value, charging price along with queuing situation State changes, and what the actual team leader of waiting in line was corresponding more than under optimal value waits in line team leader, then raise charging price;Actual row What team's congestion lengths was corresponding less than under optimal value waits in line team leader, then reduce charging price.Optimum arrival rate can be according to charging station Charging pile number, service intensity, network load etc. sets.
Price f is adjusted according to the demand that queuing situation calculatesj (2)For:
f j ( 2 ) = f j ( 2 ) lq j ( λ v , j , λ u , j ) - lq j * ( λ v , j * , λ u , j * ) lq j * ( λ v , j * , λ u , j * ) ,
In formula, lqjv,ju,j) averagely wait in line team leader for actual;lqj *v,j *u,j *) it is average queuing etc. under optimum arrival rate Treat team leader.
Wherein, demand adjustment cost function should meet:
1) functional value is along with lqjv,ju,j) increase and increase;
2)
Illustrate,
f j ( 2 ) = k j * lq j ( λ v , j , λ u , j ) - lq j * ( λ v , j * , λ u , j * ) lq j * ( λ v , j * , λ u , j * ) ,
In formula, kjThe slope of cost function is adjusted for demand.
Then charging cost function is:
f j = β j ( 1 ) * f z + β j ( 2 ) * f j ( 2 ) ( lq j ( λ v , j , λ u , j ) - lq j * ( λ v , j * , λ u , j * ) lq j * ( λ v , j * , λ u , j * ) ) .
Wherein, β is metj (1)j (2)=1, βj (1)>=0, βj (2)>=0,
In formula, βj (1), βj (2)For charging station j weights coefficient.
S130. real time charging station information is transmitted to server 300, including charging price, surcharge, positional information, queuing feelings Condition.
Fig. 7 is the particular flow sheet of step S300 in Fig. 4 or Fig. 5.
In the present embodiment, as it is shown in fig. 7, the concretely comprising the following steps of described step S300:
S310. according to user personality, the every weights of utility function and customer parameter value are determined:
The utility function of user i selection charging station j is:
Ui,j=zii (1)*li,ji (2)*(bi,j*wqv,j+(1-bi,j)*wqu,j)-αi (3)*(fj+bi,j*cj),
Wherein, z is meti>=0, αi (1)i (2)i (3)=1, αi (1)>=0, αi (2)>=0, αi (3)>=0, bi,j∈ 0,1},
In formula, ziCharging willingness parameter for user i;αi (1), αi (2), αi (3)Weighting parameter for user i;li,jFor user i institute In position to the distance of charging station j;bi,jWhether select to seek Priority Service for user i, the most whether be selected to VIP user, bi,j=1 is VIP user, bi,j=0 is domestic consumer;wqv,jFor VIP user's average queuing latency;wqu,jFor commonly User's average queuing latency;fjCharging price for charging station j;cjExtra paying is needed for seeking Priority Service at charging station j The expense gone out.
Wherein, zi, αi (1), αi (2), αi (3)Can be set on applying unit 130 interface by user, it is also possible to go through according to user History data estimation;cjSet by charging station;bi,jIt is calculated by optimization.
S320. calculate each charging station value of utility to user according to electric automobile and charging station real time information, obtain object function:
Object function is:
max U i = m a x Σ j = 1 J U i , j * x i , j ,
Wherein, meet
In formula, J is charging station number;xi,jVariable, x is selected for binary systemi,j=1 user i selects charging station j, xi,j=0 with Family i does not select charging station j.
S330. optimization object function, obtains optimum charging station selection strategy:
By optimized algorithm, try to achieve optimal solution, including user to the selection of charging station and Priority Service to be sought, i.e. xi,j And bi,jValue.IfThen optimal strategy is not select any charging station.
Visible, the invention have the advantages that
1) by means of VANET environment, it is allowed to user passes through applying unit 130 queuing number-taking, saves a certain amount of time, i.e. The charging interval of arrived user in during arriving at charging station.In the present embodiment, for VIP user, the time of saving isFor domestic consumer, the time of saving is
In formula, viAverage speed for electric automobile i.
2) push the setting of prompting service, make user without resting on charging station, reciprocity time to be charged too long of problem is given A kind of effective scheme.
3) user is allowed to seek Priority Service under conditions of paying additional expense.
4) considering that location difference and demand adjust, the pricing mechanism of proposition makes charging price dynamically change along with queuing situation, profit In adjusting charge requirement, improve grid stability.

Claims (9)

1. a charging electric vehicle dispatching patcher based on VANET, it is characterised in that include electric automobile intelligent electric meter system (100), roadside unit (200), server (300), charging station intelligent electric meter system (400);Described electric automobile intelligent electric meter system (100) includes intelligent electric meter (110), vehicle-mounted GPS positioning system (120), applying unit (130), board units (140), described charging station intelligent electric meter system (400) includes intelligent electric meter (410), and charging station controls administrative unit (420);Described intelligent electric meter (110), vehicle-mounted GPS positioning system (120) respectively with board units (140) wired connection, described applying unit (130) is wired or wireless with board units (140) to be connected, between described board units (140) and board units (140), board units (140) and roadside unit (200) are respectively through V2V, V2R realizes radio communication, wired connection between described roadside unit (200) and roadside unit (200), described roadside unit (200), charging station control administrative unit (420) respectively with server (300) wired connection, described intelligent electric meter (410) and charging station control wired connection between administrative unit (420).
A kind of charging electric vehicle dispatching patcher based on VANET the most according to claim 1, it is characterized in that, the function of the intelligent electric meter (110) in described electric automobile intelligent electric meter system (100) is the state of charge of detection battery, the speed of electric automobile, discharge and recharge and the phase contrast according to voltage and current waveform judge the direction of energy Flow, calculate the discharge and recharge custom of user according to historical data and user input data, push discharge and recharge by applying unit (130) to user when meeting certain state of charge and meeting user's discharge and recharge custom and advise;Described vehicle-mounted GPS positioning system (120) is for positioning electric automobile position and providing the shortest path navigation to target charging station;Described applying unit (130) is mobile phone Mobile solution or the embedded unit being integrated in board units (140), when electric automobile user needs charging service, directly by this applying unit (130) queuing number-taking, and can have Push Service, save the regular hour to user;Described board units (140) is loaded on electric automobile, and electric automobile information is forwarded by V2V wireless communications relay between board units (140);Described roadside unit (200) is uniformly deployed in road both sides, is collected by V2R radio communication and is transmitted, by board units (140), the electric automobile information of coming;The function of the intelligent electric meter (410) in described charging station intelligent electric meter system (400) is the power price information gathering electrical network, detects the charge volume to electric automobile input, calculates situation of queuing up in real time, formulates real time charging price;It is to transmit real time charging station information to server (300) that described charging station controls the function of administrative unit (420), will be queued up the user of the upper user queued up of applying unit (130) and arrival charging station;Described server (300) controls the next information of administrative unit (420) conveying according to roadside unit (200) and charging station and is calculated optimum charging station strategy;Described roadside unit (200), after receiving the optimal strategy that server (300) transmission comes, sends electric automobile user to through R2V and V2V radio communication.
A kind of charging electric vehicle dispatching patcher based on VANET the most according to claim 1 and 2, it is characterised in that between described board units (140) and board units (140), V2V wireless relay forwards is single-hop or multi-hop.
A kind of charging electric vehicle dispatching patcher based on VANET the most according to claim 1 and 2, it is characterized in that, described charging station controls administrative unit (420) and includes positional information, real time charging price, queuing situation to the real time charging station information that server (300) transmits;Being additionally operable to push prompting message to user, preference and living habit according to user set, including reminder time starting point, alert interval time.
A kind of charging electric vehicle dispatching patcher based on VANET the most according to claim 4, it is characterised in that the real time charging price that the intelligent electric meter (410) in described charging station intelligent electric meter system (400) is formulated relates to location difference and demand adjusts.
6. a charging electric vehicle dispatching method based on VANET, it is characterised in that comprise the steps:
The intelligent electric meter (410) of the most each charging station combines residing ground fragment position and power price information, according to situation of currently queuing up, formulates real time charging price, and is controlled administrative unit (420) to server (300) transmission real time charging station information by charging station;
S200., when the intelligent electric meter (110) in electric automobile intelligent electric meter system (100) detects that the state of charge of battery is less than certain threshold value or meets the charging custom of user, board units (140) sends charging service demand and electric automobile real time information to server (300);
S300. server (300) is according to the electric automobile received and the real time information of charging station, is calculated optimum charging station strategy and the function value of utility of electric automobile;
S400. the optimum charging station strategy that board units (140) will receive, function value of utility and this charge station information are pushed to user by applying unit (130);
S500. user's judgement according to self-demand and to function value of utility chooses whether charging, if confirming, charging selects, directly by applying unit (130) in target charging station interface queuing number-taking;
S600., after charging station control administrative unit (420) of target charging station receives and transmitted, by applying unit (130), the queueing message come, user is entered charging queue;
S700. during user's target to be gone to charging station, sending decision-making by applying unit (130) to vehicle-mounted GPS positioning system (120), the shortest path provided to target charging station is navigated by vehicle-mounted GPS positioning system (120).
A kind of charging electric vehicle dispatching method based on VANET the most according to claim 6, it is characterized in that, step S600A is also included: judge that user reminds service the need of pushing after step S600, it is, then by user setup, send pushed information at special time to applying unit (130);No, then carry out step S700.
A kind of charging electric vehicle dispatching method based on VANET the most according to claim 6, it is characterised in that concretely comprising the following steps of described step S100:
S110. calculate average queuing latency, averagely wait in line team leader;
S120. charging station j is according to setting area, residing location price fj (1 ), calculate demand according to queuing situation and adjust price fj (2 ), charging price f is tried to achieve in weightingj
S130. real time charging station information is transmitted to server (300), including charging price, surcharge, positional information, queuing situation.
A kind of charging electric vehicle dispatching method based on VANET the most according to claim 6, it is characterised in that concretely comprising the following steps of described step S300:
S310. according to user personality, the every weights of utility function and customer parameter value are determined;
S320. calculate each charging station value of utility to user according to electric automobile and charging station real time information, obtain object function;
S330. optimization object function, obtains optimum charging station selection strategy.
CN201610285940.9A 2016-05-01 2016-05-01 VANET based electric automobile charge scheduling system and method Pending CN105844432A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610285940.9A CN105844432A (en) 2016-05-01 2016-05-01 VANET based electric automobile charge scheduling system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610285940.9A CN105844432A (en) 2016-05-01 2016-05-01 VANET based electric automobile charge scheduling system and method

Publications (1)

Publication Number Publication Date
CN105844432A true CN105844432A (en) 2016-08-10

Family

ID=56591246

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610285940.9A Pending CN105844432A (en) 2016-05-01 2016-05-01 VANET based electric automobile charge scheduling system and method

Country Status (1)

Country Link
CN (1) CN105844432A (en)

Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106373248A (en) * 2016-09-13 2017-02-01 珠海小可乐科技有限公司 Charging pile number arranging method and system
CN106515494A (en) * 2016-12-02 2017-03-22 北京邮电大学 Information obtaining method and system for state of charging station based on road side unit
CN106849065A (en) * 2017-03-06 2017-06-13 四川大学 A kind of power distribution network multiple target collaborative planning method of meter and charging station
CN107009909A (en) * 2017-04-01 2017-08-04 成都为蓝科技有限公司 A kind of electric automobile continuation of the journey system and its application method
CN107392336A (en) * 2017-07-17 2017-11-24 哈尔滨工程大学 Distributed electric automobile charging dispatching method based on reservation in intelligent transportation
CN107491980A (en) * 2017-07-05 2017-12-19 上海大学 Stood firm valency system and method based on the mobile charging under Wireless Heterogeneous Networks
CN108215819A (en) * 2016-12-22 2018-06-29 郑州宇通客车股份有限公司 Off-board charger data transmission method, system, BMS and monitor terminal
CN108307347A (en) * 2017-05-18 2018-07-20 哈尔滨工程大学 Distributed electric automobile charge information distribution method based on vehicular ad hoc network
CN108422873A (en) * 2018-02-06 2018-08-21 浙江齐享科技有限公司 The charging management system and method for Moped Scooter are shared in a kind of no stake
CN108528233A (en) * 2018-02-28 2018-09-14 哈尔滨工程大学 The multifactor charging method of electric vehicle of energy information is considered in a kind of intelligent transportation
CN109080487A (en) * 2018-08-24 2018-12-25 北京轻享科技有限公司 A kind of control method, control device and the user terminal of shared Vehicular charging
CN109130940A (en) * 2018-09-25 2019-01-04 迟同胜 charging method and device
CN109305055A (en) * 2018-08-13 2019-02-05 青岛海汇德电气有限公司 Garage automatic charging system and charge control method, garage setting method
CN109747461A (en) * 2019-01-22 2019-05-14 成都昆朋新能科技有限公司 A kind of Intellectualized electric automobile charging pile recommended method
CN109808531A (en) * 2017-11-20 2019-05-28 奥迪股份公司 For giving the method and charging pile of multiple electric vehicle chargings
US10343536B2 (en) 2017-08-07 2019-07-09 Cisco Technology, Inc. Intelligent coil control for vehicle wireless power transfer (WPT)
WO2019228455A1 (en) * 2018-05-31 2019-12-05 比亚迪股份有限公司 Station type charging system and method for vehicles
CN110549896A (en) * 2019-08-28 2019-12-10 哈尔滨工程大学 charging station selection method based on reinforcement learning
CN111469700A (en) * 2019-01-24 2020-07-31 本田技研工业株式会社 Charging management device, charging management method, and storage medium
CN112092670A (en) * 2020-09-22 2020-12-18 南京林洋电力科技有限公司 Charging pile queuing and charging management method
CN112183882A (en) * 2020-10-19 2021-01-05 武汉理工大学 Intelligent charging station charging optimization method based on electric vehicle quick charging requirement
CN113505912A (en) * 2021-06-10 2021-10-15 广东工业大学 Electric vehicle charging planning method based on road network information and computing resource compensation
CN114572043A (en) * 2020-11-30 2022-06-03 丰田自动车株式会社 Charging control system, charging control device, and storage medium
CN114643903A (en) * 2020-12-18 2022-06-21 宝能汽车集团有限公司 Vehicle-mounted electric energy sharing method and system, storage medium and electronic equipment

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110001356A1 (en) * 2009-03-31 2011-01-06 Gridpoint, Inc. Systems and methods for electric vehicle grid stabilization
CN102541010A (en) * 2012-01-06 2012-07-04 中国电力科学研究院 Monitoring system for electric automobile and control method thereof
CN103840549A (en) * 2012-11-20 2014-06-04 北京交通大学 System and method for dispatching charging load space of electric vehicle
CN105186592A (en) * 2015-07-16 2015-12-23 许继电气股份有限公司 Charging management system and method of fast charging stations

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110001356A1 (en) * 2009-03-31 2011-01-06 Gridpoint, Inc. Systems and methods for electric vehicle grid stabilization
CN102541010A (en) * 2012-01-06 2012-07-04 中国电力科学研究院 Monitoring system for electric automobile and control method thereof
CN103840549A (en) * 2012-11-20 2014-06-04 北京交通大学 System and method for dispatching charging load space of electric vehicle
CN105186592A (en) * 2015-07-16 2015-12-23 许继电气股份有限公司 Charging management system and method of fast charging stations

Cited By (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106373248A (en) * 2016-09-13 2017-02-01 珠海小可乐科技有限公司 Charging pile number arranging method and system
CN106515494A (en) * 2016-12-02 2017-03-22 北京邮电大学 Information obtaining method and system for state of charging station based on road side unit
CN106515494B (en) * 2016-12-02 2019-03-26 北京邮电大学 A kind of charging station status information acquiring method and system based on roadside unit
CN108215819A (en) * 2016-12-22 2018-06-29 郑州宇通客车股份有限公司 Off-board charger data transmission method, system, BMS and monitor terminal
CN108215819B (en) * 2016-12-22 2024-03-01 宇通客车股份有限公司 Data transmission method and system of off-board charger, BMS and monitoring terminal
CN106849065A (en) * 2017-03-06 2017-06-13 四川大学 A kind of power distribution network multiple target collaborative planning method of meter and charging station
CN106849065B (en) * 2017-03-06 2019-06-11 四川大学 It is a kind of meter and charging station power distribution network multiple target collaborative planning method
CN107009909A (en) * 2017-04-01 2017-08-04 成都为蓝科技有限公司 A kind of electric automobile continuation of the journey system and its application method
CN108307347A (en) * 2017-05-18 2018-07-20 哈尔滨工程大学 Distributed electric automobile charge information distribution method based on vehicular ad hoc network
CN108307347B (en) * 2017-05-18 2021-03-30 哈尔滨工程大学 Distributed electric vehicle charging information distribution method based on vehicle-mounted ad hoc network
CN107491980A (en) * 2017-07-05 2017-12-19 上海大学 Stood firm valency system and method based on the mobile charging under Wireless Heterogeneous Networks
CN107392336B (en) * 2017-07-17 2021-04-02 哈尔滨工程大学 Reservation-based distributed electric vehicle charging scheduling method in intelligent transportation
CN107392336A (en) * 2017-07-17 2017-11-24 哈尔滨工程大学 Distributed electric automobile charging dispatching method based on reservation in intelligent transportation
US10343536B2 (en) 2017-08-07 2019-07-09 Cisco Technology, Inc. Intelligent coil control for vehicle wireless power transfer (WPT)
US11685272B2 (en) 2017-11-20 2023-06-27 Audi Ag Method and charging column for recharging a plurality of electric vehicles
CN109808531A (en) * 2017-11-20 2019-05-28 奥迪股份公司 For giving the method and charging pile of multiple electric vehicle chargings
CN108422873A (en) * 2018-02-06 2018-08-21 浙江齐享科技有限公司 The charging management system and method for Moped Scooter are shared in a kind of no stake
CN108528233A (en) * 2018-02-28 2018-09-14 哈尔滨工程大学 The multifactor charging method of electric vehicle of energy information is considered in a kind of intelligent transportation
WO2019228455A1 (en) * 2018-05-31 2019-12-05 比亚迪股份有限公司 Station type charging system and method for vehicles
CN110549898A (en) * 2018-05-31 2019-12-10 比亚迪股份有限公司 Station type charging system and method for vehicle
CN110549898B (en) * 2018-05-31 2021-07-20 比亚迪股份有限公司 Station type charging system and method for vehicle
CN109305055A (en) * 2018-08-13 2019-02-05 青岛海汇德电气有限公司 Garage automatic charging system and charge control method, garage setting method
CN109080487A (en) * 2018-08-24 2018-12-25 北京轻享科技有限公司 A kind of control method, control device and the user terminal of shared Vehicular charging
CN109130940A (en) * 2018-09-25 2019-01-04 迟同胜 charging method and device
CN109747461A (en) * 2019-01-22 2019-05-14 成都昆朋新能科技有限公司 A kind of Intellectualized electric automobile charging pile recommended method
CN111469700A (en) * 2019-01-24 2020-07-31 本田技研工业株式会社 Charging management device, charging management method, and storage medium
CN111469700B (en) * 2019-01-24 2023-08-08 本田技研工业株式会社 Charging management device, charging management method, and storage medium
CN110549896B (en) * 2019-08-28 2022-08-02 哈尔滨工程大学 Charging station selection method based on reinforcement learning
CN110549896A (en) * 2019-08-28 2019-12-10 哈尔滨工程大学 charging station selection method based on reinforcement learning
CN112092670A (en) * 2020-09-22 2020-12-18 南京林洋电力科技有限公司 Charging pile queuing and charging management method
CN112183882A (en) * 2020-10-19 2021-01-05 武汉理工大学 Intelligent charging station charging optimization method based on electric vehicle quick charging requirement
CN114572043B (en) * 2020-11-30 2023-08-04 丰田自动车株式会社 Charge control system, charge control device, and storage medium
CN114572043A (en) * 2020-11-30 2022-06-03 丰田自动车株式会社 Charging control system, charging control device, and storage medium
CN114643903A (en) * 2020-12-18 2022-06-21 宝能汽车集团有限公司 Vehicle-mounted electric energy sharing method and system, storage medium and electronic equipment
CN113505912B (en) * 2021-06-10 2023-08-25 广东工业大学 Electric Vehicle Charging Planning Method Based on Road Network Information and Computing Resource Compensation
CN113505912A (en) * 2021-06-10 2021-10-15 广东工业大学 Electric vehicle charging planning method based on road network information and computing resource compensation

Similar Documents

Publication Publication Date Title
CN105844432A (en) VANET based electric automobile charge scheduling system and method
US11900819B2 (en) Determining VTOL departure time in an aviation transport network for efficient resource management
CN106207290B (en) A kind of electric car charging aid decision optimization method based on multi-source data
CN107392336B (en) Reservation-based distributed electric vehicle charging scheduling method in intelligent transportation
Cao et al. An electric vehicle charging management scheme based on publish/subscribe communication framework
Wang et al. Mobility-aware coordinated charging for electric vehicles in VANET-enhanced smart grid
US10192448B2 (en) Method to control vehicle fleets to deliver on-demand transportation services
CN107036617B (en) Travel route planning method and system combining taxi and subway
CN105070037B (en) A kind of public traffic information platform and progress control method that integrated management is reported
CN104021667B (en) Integrate subscription services and the taxi dispatching system called a taxi in real time and scheduling method
CN108390421B (en) Electric vehicle double-scale charging guiding method and system considering user satisfaction degree
CN109308574B (en) Real-time response Internet semi-flexible bus scheduling method
CN103514737B (en) Intelligence share-car control system and intelligence car pooling control method
CN107101643B (en) A kind of share-car matching process
Li et al. Direct vehicle-to-vehicle charging strategy in vehicular ad-hoc networks
CN102117073A (en) Method and device for determining driving route of vehicle during non-contact charging process
Wang et al. A semi-distributed V2V fast charging strategy based on price control
CN106372757A (en) Complete distributed charging scheduling management method based on mobile public transportation buses
CN110363986A (en) A kind of centralized merging area car speed optimization method based on the game of vehicle vehicle and driving potential field power
CN107256627A (en) Automatic driving vehicle dispatching method, apparatus and system
CN106170417A (en) The charging pile of Self management
CN111397620A (en) Electric vehicle charging navigation method and system in fast charging/slow charging mode
CN106981189B (en) intelligent bus running route setting method and system
El-Fedany et al. A smart coordination system integrates MCS to minimize EV trip duration and manage the EV charging, mainly at peak times
Fescioglu-Unver et al. Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20160810

RJ01 Rejection of invention patent application after publication