CN108734313A - A kind of electricity matching reservation of combination traffic congestion situation is hired a car system and method - Google Patents

A kind of electricity matching reservation of combination traffic congestion situation is hired a car system and method Download PDF

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Publication number
CN108734313A
CN108734313A CN201710241567.1A CN201710241567A CN108734313A CN 108734313 A CN108734313 A CN 108734313A CN 201710241567 A CN201710241567 A CN 201710241567A CN 108734313 A CN108734313 A CN 108734313A
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electricity
unit
section
vehicle
car
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CN201710241567.1A
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Chinese (zh)
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蒋阳川
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Ningbo Xuanyuexing Electric Automobile Service Co Ltd
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Ningbo Xuanyuexing Electric Automobile Service Co Ltd
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Priority to CN201710241567.1A priority Critical patent/CN108734313A/en
Publication of CN108734313A publication Critical patent/CN108734313A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/02—Reservations, e.g. for tickets, services or events
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0645—Rental transactions; Leasing transactions
    • G06Q50/40—
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
    • G07F17/0042—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for hiring of objects
    • G07F17/0057—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for hiring of objects for the hiring or rent of vehicles, e.g. cars, bicycles or wheelchairs
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles
    • Y02T90/167—Systems 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]
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS 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
    • Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
    • Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
    • Y04S30/12—Remote or cooperative charging

Abstract

The present invention relates to a kind of matchings of the electricity of combination traffic congestion situation to preengage system and method for hiring a car.System includes user hand generator terminal, server, traffic monitoring server, environment measuring end, several charging piles, and server includes mileage calculation unit, time calculating unit, electricity computing unit, air-conditioning state analytic unit, congestion index computing unit, vehicle selection unit.Present system can estimate user's vehicle institute electricity demand, and the electric vehicle of user's appropriate circuitry is pushed according to electricity, is conducive to user and selects vehicle, and further improve the differentiated demand that vehicle current electric quantity meets different crowd.

Description

A kind of electricity matching reservation of combination traffic congestion situation is hired a car system and method
Technical field
The present invention relates to a kind of automobile leasing technical fields, more particularly, to a kind of electricity of combination traffic congestion situation It hires a car system and method with reservation.
Background technology
It is to be provided conveniently for the people of some plan trips, but if vehicle electricity is insufficient for car user that reservation, which is hired a car, Stroke need, then can make troubles the trip of car user.And provided that vehicle electricity far more than car user use Electricity, and can result in waste of resources, it may result in the need for that more the few vehicle of electricity can only be leased using the car user of electricity, Inconvenience is brought to using, reduces the efficiency hired a car on the whole.
Invention content
The present invention mainly solves rent-a-car power energy allocation in the prior art and mismatches, and causes user inconvenient and resource The problem of waste, provides a kind of according to user's differentiation, the electricity matching reservation of the combination traffic congestion situation of reasonable distribution It hires a car system and method.
The above-mentioned technical problem of the present invention is mainly to be addressed by following technical proposals：A kind of combination traffic congestion The electricity matching reservation of situation is hired a car system, if including user hand generator terminal, server, traffic monitoring server, environment measuring end, The dry charging pile being connect with electric vehicle, the server include mileage calculation unit, time calculating unit, electricity calculating list Member, air-conditioning state analytic unit, congestion index computing unit, vehicle selection unit, mileage calculation unit, congestion index calculate single Member is connected with time calculating unit respectively, and time calculating unit, air-conditioning state analytic unit are connected with electricity computing unit respectively, Electricity computing unit is connected with vehicle selection unit, congestion index computing unit by network respectively with environment measuring end, traffic Monitoring server is connected, and user hand generator terminal is connected with mileage calculation unit, vehicle selection unit respectively by network, and vehicle is chosen Unit is connected with each charging pile respectively by network.
User generates planning driving path to hiring a car starting point and destination selects in user hand generator terminal in the present invention.In Journey computing unit leases electric automobile during traveling mileage for calculating user.Environmental monitoring end is used to detect the weather feelings for period of hiring a car Condition.Congestion index computing unit calculates congestion index according to weather condition and traffic conditions.Time calculating unit is according to congestion Index, mileage travelled calculate the electric automobile during traveling time.Air-conditioning state analytic unit makes for calculating air-conditioning under Current Temperatures Electricity consumption.Electricity computing unit according to running time and air-conditioning using electricity simulate electric vehicle arrive at it is required Electricity.Vehicle selection unit can read the circuit of electric vehicle by charging pile, and the electric vehicle of corresponding electricity is distributed to User selects.Present system can estimate user's vehicle institute electricity demand, and the electronic vapour of user's appropriate circuitry is pushed according to electricity Vehicle is conducive to user and selects vehicle, and further improves the differentiated demand that vehicle current electric quantity meets different crowd.
As a preferred embodiment, the charging pile is installed in each infield in the form of charging pile cluster, often A charging pile cluster is mounted on clustered control unit and communication unit, and clustered control unit is connect with communication unit, charging pile Including electric power detection unit, the electric power detection unit of each charging pile in charging pile cluster connects with clustered control unit respectively It connects, communication module is connected with the communication of vehicle selection unit.Charging pile uses trunking mode management, each charging pile to be examined by electricity Unit is surveyed to detect electric vehicle current electric quantity.Communication unit is connected on clustered control unit, realizes charging pile and server Communication.
As a preferred embodiment, further include temperature detection end, temperature detection end is analyzed single by network and air-conditioning state Member is connected.
A kind of electricity matching reservation of combination traffic congestion situation is hired a car method, is included the following steps：
S1. user hand generator terminal carries out request of hiring a car, and generates travel route；
S2. server calculates the congestion index on every section of road according to traffic congestion situation and weather condition, while according to traveling Then route calculation mileage travelled calculates the running time for covering travel route according to congestion index and mileage travelled；
S3. air-conditioning use state is analyzed according to temperature regime, electricity is simulated further according to air-conditioning use state and running time Electrical automobile institute electricity demand；
S4. the electric vehicle for being suitble to electricity is chosen according to institute's electricity demand.
The present invention estimates user's vehicle institute electricity demand, and the electric vehicle of the suitable electricity of user is pushed according to electricity, is conducive to User selects vehicle, and further improves the differentiated demand that vehicle current electric quantity meets different crowd.
As a preferred embodiment, travel route generation includes following procedure in step S1：
S11. the electric vehicle that user hand generator terminal record user chooses is hired a car a little and destination；
S12. travel route is a little generated on map with destination according to hiring a car；
S13. travel route is recorded, and travel route is issued into server.
This programme automatically generates optimization route according to the starting point and destination of lease electric vehicle.
As a preferred embodiment, running time calculating process includes in step S2：
If travel route is S21. divided into trunk section by major trunk roads crossing, the mileage S in each section is calculatedi, i is section Number；
S22. the flow value L that each section current time counts is obtained from traffic monitoring serveri, each section setting Road saturated flow magnitude BLi, calculate the traffic saturation degree B in current each sectioni=Li/BLi；
S23. jam level is preset, each jam level includes the threshold range of a traffic saturation degree, and corresponding One simulation congestion value, according to each road section traffic volume saturation degree BiThe threshold range fallen into obtains corresponding simulation congestion value Zi；
S24. it is set in advance in fine day or rush hour or environment congestion coefficient H when low peak period in the case of the rainy dayx, x For the number that the fine, rainy day combines with the high and low peak phase, a kind of combination is respectively represented per number, the congestion value in each section is Zi*Hx；
S25. each section mileage S is covered according to the average speed v calculating of settingiRequired road-section average running time PTi, obtain initial time QT of the subscription time as first section of traveling1；The average speed set as it is initial when it is pre-defined Get off.Here the vehicle collection reservation time that subscription time, that is, user selects when user hand generator terminal operation appointment is hired a car.
S26. it is fine day or the information of rainy day to obtain weather from environmental monitoring end, according to initial time QTiJudge in friendship Logical peak period or low peak period, and corresponding environment congestion coefficient H is chosen according to the combination of Weather information and the high ebb of trafficx；.
S27. it calculates and covers first section mileage S1Required running time t1=PT1*Z1*Hx1, Hx1Indicate first road The environment congestion coefficient of section selection, according to T1Calculate the initial time QT for starting running second section2, selected according to step S26 It selects corresponding environment congestion coefficient and then calculates the congestion value Z in second section2*Hx2, then calculate and cover second section mileage S2Required running time t2；
S28. it so repeats the time required to the traveling covered in all sections has been calculated, by the running time in all sections Addition obtains the final running time for covering travel route
As a preferred embodiment, the acquisition of electric vehicle institute electricity demand includes following procedure in step S3：
S31. according to the temperature data of monitoring temperature server, judge whether to need to open air-conditioning, if according to when driving Between T calculate air-conditioning institute electricity demand；
S32. electric vehicle institute electricity demand is calculated according to running time；
S33. air-conditioning institute's electricity demand is added with automobile institute electricity demand and obtains total institute's electricity demand.According to the time according to setting Electricity is consumed per unit time to calculate required battery capacity.
As a preferred embodiment, the process of the selection matched electric vehicle of electricity includes in step S4：
S41. server obtains electric vehicle voltage value to be leased from charging pile；
S42. the electric vehicle that electricity is more than the institute's electricity demand calculated is judged whether there is, electricity therein is randomly choosed if having Electrical automobile preengages vehicle as user, and to the prompt of user hand generator terminal without available electric vehicle if not, reservation terminates.We The electric vehicle of suitable electricity can be pushed to user by case, improve target user's matching degree of vehicle so that use more adduction Reason, improves efficiency of hiring a car.
Therefore, it is an advantage of the invention that：System can estimate user's vehicle institute electricity demand, and it is suitable to push user according to electricity The electric vehicle of circuit is conducive to user and selects vehicle, and further improves the differentiation that vehicle current electric quantity meets different crowd Demand.
Description of the drawings
Attached drawing 1 is a kind of structural frames diagram of the present invention
1- user hand generator terminal 2- server 21- mileage calculation unit 22- time calculating unit 23- vehicle selection units 24- electricity computing unit 25- air-conditioning state analytic unit 3- charging pile cluster 31- charging pile 311- electric power detection units 32- communication unit 33- clustered control unit 4- environment measurings end 41- traffic monitoring server 42- monitoring temperature servers 43- environment measurings end.
Specific implementation mode
Below with reference to the embodiments and with reference to the accompanying drawing the technical solutions of the present invention will be further described.
Embodiment：
System of hiring a car is preengage in a kind of electricity matching of combination traffic congestion situation of the present embodiment, as shown in Figure 1, including user Mobile phone terminal 1, server 2, traffic monitoring server 41, environment measuring end 43, several charging piles 31 being connect with electric vehicle.Clothes Business device includes mileage calculation unit 21, time calculating unit 22, electricity computing unit 24, air-conditioning state analytic unit 25, congestion Exponent calculation unit 26, vehicle selection unit 23, temperature detection end 42, mileage calculation unit, congestion index computing unit difference It is connected with time calculating unit, time calculating unit, air-conditioning state analytic unit are connected with electricity computing unit respectively, voltameter It calculates unit with vehicle selection unit to be connected, congestion index computing unit is taken with environment measuring end, traffic monitoring respectively by network Being engaged in, device is connected, and user hand generator terminal is connected with mileage calculation unit, vehicle selection unit respectively by network, and vehicle selection unit is logical Network is crossed respectively to be connected with each charging pile.Temperature detection end is connected by network with air-conditioning state analytic unit.
Charging pile 31 is installed in each infield in the form of charging pile cluster 3, and each charging pile cluster 3 is respectively mounted There are clustered control unit 33 and communication unit 32, clustered control unit to be connect with communication unit, charging pile includes electric power detection list The electric power detection unit of member 311, each charging pile in charging pile cluster connect with clustered control unit respectively, communication module and The communication connection of vehicle selection unit.
A kind of electricity matching reservation of combination traffic congestion situation is hired a car method, is included the following steps：
S1. user hand generator terminal carries out request of hiring a car, and generates travel route；Detailed process includes：
S11. the electric vehicle that user hand generator terminal record user chooses is hired a car a little and destination；
S12. travel route is a little generated on map with destination according to hiring a car；
S13. travel route is recorded, and travel route is issued into server.
S2. server calculates the congestion index on every section of road according to traffic congestion situation and weather condition, while according to traveling Then route calculation mileage travelled calculates the running time for covering travel route according to congestion index and mileage travelled；Specific mistake Journey includes：
If travel route is S21. divided into trunk section by major trunk roads crossing, the mileage S in each section is calculatedi, i is section Number；
S22. the flow value L that each section current time counts is obtained from traffic monitoring serveri, each section setting Road saturated flow magnitude BLi, calculate the traffic saturation degree B in current each sectioni=Li/BLi；
S23. jam level is preset, each jam level includes the threshold range of a traffic saturation degree, and corresponding One simulation congestion value, according to each road section traffic volume saturation degree BiThe threshold range fallen into obtains corresponding simulation congestion value Zi；
S24. it is set in advance in fine day or rush hour or environment congestion coefficient H when low peak period in the case of the rainy dayx, x For the number that the fine, rainy day combines with the high and low peak phase, a kind of combination is respectively represented per number, the congestion value in each section is Zi*Hx；
S25. each section mileage S is covered according to the average speed v calculating of settingiRequired road-section average running time PTi, obtain initial time QT of the subscription time as first section of traveling1；
S26. it is fine day or the information of rainy day to obtain weather from environmental monitoring end, according to initial time QTiJudge in friendship Logical peak period or low peak period, and corresponding environment congestion coefficient H is chosen according to the combination of Weather information and the high ebb of trafficx；.
S27. it calculates and covers first section mileage S1Required running time t1=PT1*Z1*Hx1, Hx1Indicate first road The environment congestion coefficient of section selection, according to T1Calculate the initial time QT for starting running second section2, selected according to step S26 It selects corresponding environment congestion coefficient and then calculates the congestion value Z in second section2*Hx2, then calculate and cover second section mileage S2Required running time t2；
S28. it so repeats the time required to the traveling covered in all sections has been calculated, by the running time in all sections Addition obtains the final running time for covering travel route
S3. air-conditioning use state is analyzed according to temperature regime, electricity is simulated further according to air-conditioning use state and running time Electrical automobile institute electricity demand；Detailed process includes：
S31. according to the temperature data of monitoring temperature server, judge whether to need to open air-conditioning, if according to when driving Between T calculate air-conditioning institute electricity demand；
S32. electric vehicle institute electricity demand is calculated according to running time；
S33. air-conditioning institute's electricity demand is added with automobile institute electricity demand and obtains total institute's electricity demand.
S4. the electric vehicle for being suitble to electricity is chosen according to institute's electricity demand.Detailed process includes：
S41. server obtains electric vehicle voltage value to be leased from charging pile；
S42. the electric vehicle that electricity is more than the institute's electricity demand calculated is judged whether there is, electricity therein is randomly choosed if having Electrical automobile preengages vehicle as user, and to the prompt of user hand generator terminal without available electric vehicle if not, reservation terminates.
Specific embodiment described herein is only an example for the spirit of the invention.Technology belonging to the present invention is led The technical staff in domain can make various modifications or additions to the described embodiments or replace by a similar method In generation, however, it does not deviate from the spirit of the invention or beyond the scope of the appended claims.
Although the arts such as user hand generator terminal, server, mileage calculation unit, time calculating unit are used more herein Language, but it does not preclude the possibility of using other terms.The use of these items is only for more easily describe and explain this The essence of invention；Any one of the additional limitations is construed as all to disagree with spirit of that invention.

Claims (8)

  1. System, including user hand generator terminal, server, traffic prison 1. a kind of electricity matching reservation of combination traffic congestion situation is hired a car Control server, environment measuring end, several charging piles being connect with electric vehicle, the server include mileage calculation unit, when Between computing unit, electricity computing unit, air-conditioning state analytic unit, congestion index computing unit, vehicle selection unit, odometer Calculate unit, congestion index computing unit is connected with time calculating unit respectively, time calculating unit, air-conditioning state analytic unit point It is not connected with electricity computing unit, electricity computing unit is connected with vehicle selection unit, and congestion index computing unit passes through network Be connected respectively with environment measuring end, traffic monitoring server, user hand generator terminal by network respectively with mileage calculation unit, vehicle Selection unit is connected, and vehicle selection unit is connected with each charging pile respectively by network.
  2. The system 2. a kind of electricity matching reservation of combination traffic congestion situation according to claim 1 is hired a car, it is characterized in that The charging pile is installed in each infield in the form of charging pile cluster, and each charging pile cluster is mounted on collection team control Unit and communication unit processed, clustered control unit are connect with communication unit, and charging pile includes electric power detection unit, charging pile cluster In the electric power detection unit of each charging pile connect respectively with clustered control unit, communication module is communicated with vehicle selection unit Connection.
  3. The system 3. a kind of electricity matching reservation of combination traffic congestion situation according to claim 1 is hired a car, it is characterized in that Further include temperature detection end, temperature detection end is connected by network with air-conditioning state analytic unit.
  4. 4. method of hiring a car is preengage in a kind of electricity matching of combination traffic congestion situation, it is using in claim any one of 1-3 System, it is characterized in that including the following steps：
    S1. user hand generator terminal carries out request of hiring a car, and generates travel route；
    S2. server calculates the congestion index on every section of road according to traffic congestion situation and weather condition, while according to travel route Mileage travelled is calculated, the running time for covering travel route is then calculated according to congestion index and mileage travelled；
    S3. air-conditioning use state is analyzed according to temperature regime, electronic vapour is simulated further according to air-conditioning use state and running time Vehicle institute electricity demand；
    S4. the electric vehicle for being suitble to electricity is chosen according to institute's electricity demand.
  5. The method 5. a kind of electricity matching reservation of combination traffic congestion situation according to claim 4 is hired a car, it is characterized in that Travel route generation includes following procedure in step S1：
    S11. the electric vehicle that user hand generator terminal record user chooses is hired a car a little and destination；
    S12. travel route is a little generated on map with destination according to hiring a car；
    S13. travel route is recorded, and travel route is issued into server.
  6. The method 6. a kind of electricity matching reservation of combination traffic congestion situation according to claim 4 is hired a car, it is characterized in that Running time calculating process includes in step S2：
    If travel route is S21. divided into trunk section by major trunk roads crossing, the mileage S in each section is calculatedi, i is section number；
    S22. the flow value L that each section current time counts is obtained from traffic monitoring serveri, each section setting road Road saturated flow magnitude BLi, calculate the traffic saturation degree B in current each sectioni=Li/BLi；
    S23. jam level is preset, each jam level includes the threshold range of a traffic saturation degree, and one corresponding Congestion value is simulated, according to each road section traffic volume saturation degree BiThe threshold range fallen into obtains corresponding simulation congestion value Zi；
    S24. it is set in advance in fine day or rush hour or environment congestion coefficient H when low peak period in the case of the rainy dayx, x be it is fine, The number that rainy day combines with the high and low peak phase respectively represents a kind of combination per number, and the congestion value in each section is Zi*Hx；
    S25. each section mileage S is covered according to the average speed v calculating of settingiRequired road-section average running time PTi, obtain Take subscription time as the initial time QT in first section of traveling1；
    S26. it is fine day or the information of rainy day to obtain weather from environmental monitoring end, according to initial time QTiJudge to be in traffic peak Phase or low peak period, and corresponding environment congestion coefficient H is chosen according to the combination of Weather information and the high ebb of trafficx；.
    S27. it calculates and covers first section mileage S1Required running time t1=PT1*Z1*Hx1, Hx1Indicate first section choosing The environment congestion coefficient selected, according to T1Calculate the initial time QT for starting running second section2, according to step S26 selections pair Environment congestion coefficient is answered then to calculate the congestion value Z in second section2*Hx2, then calculate and cover second section mileage S2Institute The running time t needed2；
    S28. it so repeats the time required to the traveling covered in all sections has been calculated, the running time in all sections is added Obtain the final running time for covering travel route
  7. The method 7. a kind of electricity matching reservation of combination traffic congestion situation according to claim 6 is hired a car, it is characterized in that The acquisition of electric vehicle institute electricity demand includes following procedure in step S3：
    S31. according to the temperature data of monitoring temperature server, judge whether to need to open air-conditioning, if being counted according to running time T Calculate air-conditioning institute electricity demand；
    S32. electric vehicle institute electricity demand is calculated according to running time；
    S33. air-conditioning institute's electricity demand is added with automobile institute electricity demand and obtains total institute's electricity demand.
  8. The method 8. a kind of electricity matching reservation of combination traffic congestion situation according to claim 4 is hired a car, it is characterized in that The process of the selection matched electric vehicle of electricity includes in step S4：
    S41. server obtains electric vehicle voltage value to be leased from charging pile；
    S42. the electric vehicle that electricity is more than the institute's electricity demand calculated is judged whether there is, electronic vapour therein is randomly choosed if having Vehicle preengages vehicle as user, and to the prompt of user hand generator terminal without available electric vehicle if not, reservation terminates.
CN201710241567.1A 2017-04-13 2017-04-13 A kind of electricity matching reservation of combination traffic congestion situation is hired a car system and method Pending CN108734313A (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101182408B1 (en) * 2010-04-21 2012-09-13 한국전자통신연구원 Electric Vehicle Sharing Device, System and an Electric Vehicle Sharing Method
CN103177570A (en) * 2012-12-25 2013-06-26 北京交通发展研究中心 Method for predicting traffic jam indexes for rush hours in morning and evening
CN106326992A (en) * 2016-08-12 2017-01-11 宁波轩悦行电动汽车服务有限公司 APP car rental reserving system and method based on electric quantity matching
CN106326993A (en) * 2016-08-12 2017-01-11 宁波轩悦行电动汽车服务有限公司 Electric automobile reserving and renting method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101182408B1 (en) * 2010-04-21 2012-09-13 한국전자통신연구원 Electric Vehicle Sharing Device, System and an Electric Vehicle Sharing Method
CN103177570A (en) * 2012-12-25 2013-06-26 北京交通发展研究中心 Method for predicting traffic jam indexes for rush hours in morning and evening
CN106326992A (en) * 2016-08-12 2017-01-11 宁波轩悦行电动汽车服务有限公司 APP car rental reserving system and method based on electric quantity matching
CN106326993A (en) * 2016-08-12 2017-01-11 宁波轩悦行电动汽车服务有限公司 Electric automobile reserving and renting method

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Application publication date: 20181102