CN109102091A - One kind is distributed based on vehicle performance and dynamic circuit is matched reserves system and method for hiring a car - Google Patents
One kind is distributed based on vehicle performance and dynamic circuit is matched reserves system and method for hiring a car Download PDFInfo
- Publication number
- CN109102091A CN109102091A CN201710471735.6A CN201710471735A CN109102091A CN 109102091 A CN109102091 A CN 109102091A CN 201710471735 A CN201710471735 A CN 201710471735A CN 109102091 A CN109102091 A CN 109102091A
- Authority
- CN
- China
- Prior art keywords
- electric car
- car
- vehicle
- performance
- electricity
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 29
- 230000005611 electricity Effects 0.000 claims abstract description 58
- 238000007600 charging Methods 0.000 claims abstract description 33
- 238000004364 calculation method Methods 0.000 claims abstract description 10
- 239000011159 matrix material Substances 0.000 claims description 24
- 238000004891 communication Methods 0.000 claims description 15
- 238000001514 detection method Methods 0.000 claims description 8
- 230000001174 ascending effect Effects 0.000 claims description 3
- 238000010219 correlation analysis Methods 0.000 claims description 3
- 238000005265 energy consumption Methods 0.000 claims description 3
- 108010014173 Factor X Proteins 0.000 claims 1
- 230000004888 barrier function Effects 0.000 claims 1
- 230000032683 aging Effects 0.000 description 2
- 238000004378 air conditioning Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 238000003483 aging Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Accounting & Taxation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Finance (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The present invention relates to one kind to be hired a car system and method based on vehicle performance distribution and the matched reservation of dynamic circuit.System includes user hand generator terminal, server, several charging piles, and server includes mileage calculation unit, time calculating unit, electricity computing unit, congestion index computing unit, vehicle selection unit.Present system can estimate user with vehicle institute electricity demand, performance arrangement is carried out to eligible electric car, the electric car for pushing the suitable electricity of user and best performance, is conducive to user and selects vehicle, and further improve the differentiated demand that vehicle current electric quantity meets different crowd.The vehicle allocation of best performance can be obtained to user, reduce in use process and go wrong.
Description
Technical field
The present invention relates to a kind of automobile leasing technical fields, more particularly, to one kind based on vehicle performance distribution and dynamic electric
Road is matched to reserve system and method for hiring a car.
Background technique
It is to provide 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 will cause the wasting of resources, it may cause and need 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.In addition performance has differences between vehicle, some vehicles make
With more agings, user is assigned to these aging vehicles and is easy to appear problem during use, therefore is also required to vehicle
It can be carried out assessment, it can be by the vehicle allocation of best performance to user.
Summary of the invention
The present invention mainly solves rent-a-car power energy allocation in the prior art and mismatches, and causes user inconvenient and resource
Waste, and distribution vehicle performance difference influence the problem of user uses, and provide a kind of based on vehicle performance distribution and dynamic electric
Road is matched to reserve system and method for hiring a car.
Above-mentioned technical problem of the invention is mainly to be addressed by following technical proposals: one kind is based on vehicle performance
Distribution and the matched reservation of dynamic circuit are hired a car system, including user hand generator terminal, server, it is several connect with electric car fill
Electric stake, the server include mileage calculation unit, time calculating unit, electricity computing unit, vehicle selection unit, odometer
It calculates unit to be connected with time calculating unit, time calculating unit is connected with electricity computing unit, and electricity computing unit and vehicle select
Unit is taken to be connected, user hand generator terminal is connected with mileage calculation unit, vehicle selection unit respectively by network, vehicle selection unit
It is connected respectively with each charging pile by network.
User generates planning driving path to starting point is hired a car 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.Time calculating unit calculates the electric automobile during traveling time.
Air-conditioning state analytical unit uses electricity for calculating air-conditioning under Current Temperatures.Electricity computing unit is according to running time and sky
Tune simulates electric car using electricity and arrives at the destination required electricity.Vehicle selection unit can read electricity by charging pile
Electricity, the performance factor of electrical automobile, are compared the performance of electric car, by corresponding electricity and the electric car of best performance
Distribute to user.Present system can estimate user's vehicle institute electricity demand, push the electronic of user's appropriate circuitry according to electricity
Automobile is conducive to user and selects vehicle, and further improves the differentiated demand that vehicle current electric quantity meets different crowd.And it can obtain
It takes the vehicle allocation of best performance to user, reduces in use process and go wrong.
As a preferred embodiment, the charging pile is installed in the form of charging pile cluster in each infield, 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
Electric power detection unit including each charging pile in electric power detection unit charging pile cluster is connect with clustered control unit respectively,
Communication module and vehicle selection unit communication connection.Charging pile uses trunking mode management, and each charging pile passes through electric power detection
Unit detects electric car current electric quantity.Communication unit is connected on clustered control unit, realizes charging pile and server
Communication.
A kind of electricity matching reservation of combination traffic congestion situation is hired a car method, comprising the following steps:
S1. user hand generator terminal carries out request of hiring a car, and generates travel route;
S2. server calculates mileage travelled according to travel route, and calculates the running time for covering mileage travelled;
S3. electric car institute electricity demand is simulated according to running time;According to time disappearing per unit time according to setting
Power consumption calculates required battery capacity.
S4. electric car institute's electricity demand is floated 10% as final electric vehicle institute electricity demand;
S5. the electric car for being suitble to electricity is chosen according to institute's electricity demand;
S6. selected electric car performance is calculated, the electric car of best performance is distributed into user.
The present invention estimates user's vehicle institute electricity demand, and the electric car 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.Best performance can be obtained
Vehicle allocation reduces in use process and goes wrong to user.
As a preferred embodiment, it includes following procedure that travel route, which generates, in step S1:
S11. the electric car 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 car.
As a preferred embodiment, running time calculating process includes: in step S2
S21. according to travel route and in conjunction with map scale, the mileage travelled S of travel route is calculated;
S22. according to the form average speed v of setting, t=S/v the time required to covering travel route is calculated.
As a preferred embodiment, the process of the selection matched electric car of electricity includes: in step S5
S51. server obtains electric car voltage value to be leased from charging pile;
S52. the electric car that electricity is greater than the institute's electricity demand calculated is judged whether there is, is chosen if having and all meets condition
Electric car be used as vehicle to be reserved, to the prompt of user hand generator terminal without available electric car if not, reservation terminates.This
The electric car of suitable electricity can be pushed to user by scheme, target user's matching degree of vehicle be improved, so that using more
Rationally, efficiency of hiring a car is improved.
As a preferred embodiment, electric car distributes to the detailed process of user and includes: in step S6
S61. all electric car performance factors for meeting condition are obtained, when performance factor includes mileage number, battery use
Between, failure rate information, original matrix is established according to electric car and performance factor
X*=[cmk]i×j, m=1,2 ..., i;K=1 ..., j,
Wherein cmkFor k-th of performance factor of the m electric car, i indicates i qualified electric car, j table
It is shown with j performance factor;
S62. performance factor optimal in each electric car is chosen to hire a car R-matrix
To R-matrixOriginal matrix X*It is standardized, standardizes formula are as follows:
R-matrix X after being standardized0, degree of association matrix X is standardized,
X=[xmk]i×j, m=1,2 ..., i;K=1 ..., j;
S63. reference sequences x is established0, it is denoted as:
x0(k)=[x0(1) ..., x0(k)], k=1 ..., j,
Sequence x is compared in foundationm, it is denoted as:
xm(k)=[xm(1) ..., xm(k)], m=1,2 ..., i;
The absolute difference of reference sequences sequence compared with is obtained, difference includes maximum value and minimum value, then it represents that are as follows:
Δ max=maxmmaxk|x0(k)-xm(k)|
Δ min=minmmink|x0(k)-xm(k)|;
S64. the incidence coefficient of k-th of performance factor of the m electric car is acquired according to grey correlation analysis are as follows:
Wherein ρ is resolution ratio;Incidence coefficient matrix E is obtained,
E=[ξm(k)]m×k。
S65. according to original matrix X*, the performance factor of wherein each electric car is standardized:
Here standardization mode is that all own each performance factor of each electric car divided by under the performance factor
The sum of performance factor of electric car;
The entropy of each performance factor after standardizing is calculated:
SkFor the entropy of k-th of performance factor,
Work as bmkWhen=0, b is enabledmk·lnbmk=0, obtain the entropy weight of each node energy consumption:
ωkFor the entropy weight of k-th of performance factor, the weight W=[ω of electric car performance factor is finally obtainedk]。
S66. according to Grey Relational Model R=E × W, the performance number R=[r of each electric car is calculatedm], m=1,
2 ..., i, wherein
S67. according to rmBe worth it is ascending each electric car is ranked up, the forward electric car that will sort preferentially distributes
To user.
Therefore, the invention has the advantages that system can estimate user's vehicle institute electricity demand, it is suitable that user is pushed according to electricity
The electric car of circuit is conducive to user and selects vehicle, and further improves the differentiation that vehicle current electric quantity meets different crowd
Demand.And the vehicle allocation that can obtain best performance reduces in use process and goes wrong to user, improves user's use
Impression.
Detailed description of the invention
Attached drawing 1 is a kind of structural frames diagram of the invention
1- user hand generator terminal 2- server 21- mileage calculation unit 22- time calculating unit 23- vehicle selection unit
24- electricity computing unit 3- charging pile cluster 31- charging pile 311- electric power detection unit 32- communication unit 33- collection team control
Unit processed.
Specific embodiment
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 that the present embodiment one kind is distributed based on vehicle performance and the matched reservation of dynamic circuit is hired a car, as shown in Figure 1, packet
Include user hand generator terminal 1, server 2, traffic monitoring server 41, environment measuring end 42, several chargings connecting with electric car
Stake 31.Server includes mileage calculation unit 21, time calculating unit 22, electricity computing unit 24, vehicle selection unit 23, inner
Journey computing unit is connected with time calculating unit, and time calculating unit is connected with electricity computing unit, electricity computing unit and vehicle
Selection unit is connected, and user hand generator terminal is connected with mileage calculation unit, vehicle selection unit respectively by network, vehicle selection
Unit is connected with each charging pile respectively by network.
Charging pile 31 is installed in the form of charging pile cluster 3 in each infield, and each charging pile cluster 3 is respectively mounted
There are clustered control unit 33 and communication unit 32, clustered control unit is connect with communication unit, and charging pile includes electric power detection list
The electric power detection unit of each charging pile in first charging pile cluster is connect with clustered control unit respectively, communication module and vehicle
Selection unit communication connection.
Method that one kind is distributed based on vehicle performance and the matched reservation of dynamic circuit is hired a car, comprising 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 car 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 mileage travelled according to travel route, and calculates the running time for covering mileage travelled;Specific mistake
Journey includes:
S21. according to travel route and in conjunction with map scale, the mileage travelled S of travel route is calculated;
S22. according to the form average speed v of setting, t=S/v the time required to covering travel route is calculated.
S3. electric car institute electricity demand is simulated according to running time;
S4. electric car institute's electricity demand is floated 10% as final electric vehicle institute electricity demand.
S5. the electric car for being suitble to electricity is chosen according to institute's electricity demand.Detailed process includes:
S51. server obtains electric car voltage value to be leased from charging pile;
S52. the electric car that electricity is greater than the institute's electricity demand calculated is judged whether there is, is chosen if having and all meets condition
Electric car be used as vehicle to be reserved, to the prompt of user hand generator terminal without available electric car if not, reservation terminates.
S6. selected electric car performance is calculated, the electric car of best performance is distributed into user.Detailed process
Include:
S61. all electric car performance factors for meeting condition are obtained, when performance factor includes mileage number, battery use
Between, failure rate information, original matrix is established according to electric car and performance factor
X*=[cmk]i×j, m=1,2 ..., i;K=1 ..., j,
Wherein cmkFor k-th of performance factor of the m electric car, i indicates i qualified electric car, j table
It is shown with j performance factor;
S62. performance factor optimal in each electric car is chosen to hire a car R-matrix
To R-matrixOriginal matrix X*It is standardized, standardizes formula are as follows:
R-matrix X after being standardized0, degree of association matrix X is standardized,
X=[xmk]i×j, m=1,2 ..., i;K=1 ..., j;
S63. reference sequences x is established0, it is denoted as:
x0(k)=[x0(1) ..., x0(k)], k=1 ..., j,
Sequence x is compared in foundationm, it is denoted as:
xm(k)=[xm(1) ..., xm(k)], m=1,2 ..., i;
The absolute difference of reference sequences sequence compared with is obtained, difference includes maximum value and minimum value, then it represents that are as follows:
Δ max=maxmmaxk|x0(k)-xm(k)|
Δ min=minmmink|x0(k)-xm(k)|;
S64. the incidence coefficient of k-th of performance factor of the m electric car is acquired according to grey correlation analysis are as follows:
Wherein ρ is resolution ratio;Incidence coefficient matrix E is obtained,
E=[ξm(k)]m×k。
S65. according to original matrix X*, the performance factor of wherein each electric car is standardized:
Here standardization mode is that all own each performance factor of each electric car divided by under the performance factor
The sum of performance factor of electric car;
The entropy of each performance factor after standardizing is calculated:
SkFor the entropy of k-th of performance factor,
Work as bmkWhen=0, b is enabledmk·lnbmk=0, obtain the entropy weight of each node energy consumption:
ωkFor the entropy weight of k-th of performance factor, the weight W=[ω of electric car performance factor is finally obtainedk]。
S66. according to Grey Relational Model R=E × W, the performance number R=[r of each electric car is calculatedm], m=1,
2 ..., i, wherein
S67. according to rmBe worth it is ascending each electric car is ranked up, the forward electric car that will sort preferentially distributes
To user.
Specific embodiment described herein is only an example for the spirit of the invention.The neck of technology belonging to the present invention
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 exclude the possibility of using other terms.The use of these items is only for be more convenient to describe and explain this
The essence of invention;Being construed as any additional limitation is disagreed with spirit of that invention.
Claims (7)
1. one kind is hired a car system based on vehicle performance distribution and the matched reservation of dynamic circuit, including user hand generator terminal, server,
Several charging piles connecting with electric car, the server include mileage calculation unit, time calculating unit, electricity calculating list
Member, vehicle selection unit, mileage calculation unit are connected with time calculating unit, time calculating unit and electricity computing unit phase
Even, electricity computing unit is connected with vehicle selection unit, and user hand generator terminal is selected with mileage calculation unit, vehicle respectively by network
Unit is taken to be connected, vehicle selection unit is connected with each charging pile respectively by network.
System that 2. one kind according to claim 1 is distributed based on vehicle performance and the matched reservation of dynamic circuit is hired a car,
It is characterized in that the charging pile is installed in the form of charging pile cluster in each infield, each charging pile cluster is mounted on
Clustered control unit and communication unit, clustered control unit are connect with communication unit, and charging pile includes the charging of electric power detection unit
The electric power detection unit of each charging pile in stake cluster is connect with clustered control unit respectively, and communication module and vehicle choose list
First communication connection.
Method that 3. one kind is distributed based on vehicle performance and the matched reservation of dynamic circuit is hired a car, using any one of claim 1-2
In system, it is characterized in that the following steps are included:
S1. user hand generator terminal carries out request of hiring a car, and generates travel route;
S2. server calculates mileage travelled according to travel route, and calculates the running time for covering mileage travelled;
S3. electric car institute electricity demand is simulated according to running time;
S4. electric car institute's electricity demand is floated 10% as final electric vehicle institute electricity demand;
S5. the electric car for being suitble to electricity is chosen according to institute's electricity demand;
S6. selected electric car performance is calculated, the electric car of best performance is distributed into user.
Method that 4. one kind according to claim 3 is distributed based on vehicle performance and the matched reservation of dynamic circuit is hired a car,
Being characterized in step S1 that travel route generates includes following procedure:
S11. the electric car 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.
Method that 5. one kind according to claim 3 is distributed based on vehicle performance and the matched reservation of dynamic circuit is hired a car,
It is characterized in step S2 that running time calculating process includes:
S21. according to travel route and in conjunction with map scale, the mileage travelled S of travel route is calculated;
S22. according to the form average speed v of setting, t=S/v the time required to covering travel route is calculated.
Method that 6. one kind according to claim 3 is distributed based on vehicle performance and the matched reservation of dynamic circuit is hired a car,
It is characterized in that the process that the matched electric car of electricity is chosen in step S5 includes:
S51. server obtains electric car voltage value to be leased from charging pile;
S52. the electric car that electricity is greater than the institute's electricity demand calculated is judged whether there is, all electricity for meeting condition are chosen if having
Electrical automobile is used as vehicle to be reserved, and to the prompt of user hand generator terminal without available electric car if not, reservation terminates.
Method that 7. one kind according to claim 6 is distributed based on vehicle performance and the matched reservation of dynamic circuit is hired a car,
It is characterized in that electric car in step S6 distributes to the detailed process of user and includes:
S61. all electric car performance factors for meeting condition are obtained, performance factor includes mileage number, service time of battery, event
Barrier rate information, establishes original matrix according to electric car and performance factor
X*=[cmk]i×j, m=1,2 ..., i;K=1 ..., j,
Wherein cmkFor k-th of performance factor of the m electric car, i indicates that i qualified electric car, j indicate
J performance factor;
S62. performance factor optimal in each electric car is chosen to hire a car R-matrix
To R-matrixOriginal matrix X*It is standardized, standardizes formula are as follows:
R-matrix X after being standardized0, degree of association matrix X is standardized,
X=[xmk]i×j, m=1,2 ..., i;K=1 ..., j;
S63. reference sequences x is established0, it is denoted as:
x0(k)=[x0(1),…,x0(k)], k=1 ..., j,
Sequence x is compared in foundationm, it is denoted as:
xm(k)=[xm(1),…,xm(k)], m=1,2 ..., i;
The absolute difference of reference sequences sequence compared with is obtained, difference includes maximum value and minimum value, then it represents that are as follows:
Δ max=maxmmaxk|x0(k)-xm(k)|
Δ min=minmmink|x0(k)-xm(k)|;
S64. the incidence coefficient of k-th of performance factor of the m electric car is acquired according to grey correlation analysis are as follows:
Wherein ρ is resolution ratio;Incidence coefficient matrix E is obtained,
E=[ξm(k)]m×k。
S65. according to original matrix X*, the performance factor of wherein each electric car is standardized:
Here standardization mode is by each performance factor of each electric car all divided by all electronic under the performance factor
The sum of performance factor of automobile;
The entropy of each performance factor after standardizing is calculated:
SkFor the entropy of k-th of performance factor, a=- (lni)-1,
Work as bmkWhen=0, b is enabledmk·lnbmk=0, obtain the entropy weight of each node energy consumption:
ωkFor the entropy weight of k-th of performance factor, the weight W=[ω of electric car performance factor is finally obtainedk]。
S66. according to Grey Relational Model B=E × W, the performance number B=[r of each electric car is calculatedm], m=1,2 ..., i,
Wherein
S67. according to rmBe worth it is ascending each electric car is ranked up, the forward electric car that will sort preferentially distributes to use
Family.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710471735.6A CN109102091A (en) | 2017-06-20 | 2017-06-20 | One kind is distributed based on vehicle performance and dynamic circuit is matched reserves system and method for hiring a car |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710471735.6A CN109102091A (en) | 2017-06-20 | 2017-06-20 | One kind is distributed based on vehicle performance and dynamic circuit is matched reserves system and method for hiring a car |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109102091A true CN109102091A (en) | 2018-12-28 |
Family
ID=64796006
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710471735.6A Pending CN109102091A (en) | 2017-06-20 | 2017-06-20 | One kind is distributed based on vehicle performance and dynamic circuit is matched reserves system and method for hiring a car |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109102091A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113706925A (en) * | 2021-09-05 | 2021-11-26 | 绿城科技产业服务集团有限公司 | Parking space lock system for parking lot operation management and management method thereof |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106296355A (en) * | 2016-08-12 | 2017-01-04 | 宁波轩悦行电动汽车服务有限公司 | System and method of hiring a car preengage by a kind of WEB door based on electricity coupling |
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 |
CN106709625A (en) * | 2016-11-20 | 2017-05-24 | 国网江西省电力公司电力科学研究院 | Electricity market demand response planning evaluation method |
-
2017
- 2017-06-20 CN CN201710471735.6A patent/CN109102091A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106296355A (en) * | 2016-08-12 | 2017-01-04 | 宁波轩悦行电动汽车服务有限公司 | System and method of hiring a car preengage by a kind of WEB door based on electricity coupling |
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 |
CN106709625A (en) * | 2016-11-20 | 2017-05-24 | 国网江西省电力公司电力科学研究院 | Electricity market demand response planning evaluation method |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113706925A (en) * | 2021-09-05 | 2021-11-26 | 绿城科技产业服务集团有限公司 | Parking space lock system for parking lot operation management and management method thereof |
CN113706925B (en) * | 2021-09-05 | 2022-07-12 | 绿城科技产业服务集团有限公司 | Parking space lock system for parking lot operation management and management method thereof |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106326992A (en) | APP car rental reserving system and method based on electric quantity matching | |
CN106157459B (en) | It is a kind of that method of hiring a car is reserved based on the system of hiring a car for estimating electricity | |
CN109165879A (en) | A kind of shared automobile automatic scheduling method and system | |
CN103094950A (en) | Personalized charging management for a vehicle | |
CN106296355A (en) | System and method of hiring a car preengage by a kind of WEB door based on electricity coupling | |
CN105139222A (en) | Self adaptive electric vehicle charging service rate floating calculation system and method | |
CN106203652A (en) | A kind of hire a car method based on the system WEB reservation of hiring a car estimating electricity | |
CN109816417A (en) | Car sharing expense sets server, system and method | |
CN106295823A (en) | A kind of APP based on user's differentiation preengages system and method for hiring a car | |
CN112018794B (en) | Management device, management method, and storage medium | |
CN106203657A (en) | A kind of reservation based on system APP of hiring a car estimating electricity is hired a car method | |
CN109460853A (en) | A kind of electric car charging workload demand determines method and system | |
CN109754111A (en) | Electrical efficiency prediction technique, server and electric vehicle for electric vehicle | |
CN109291826A (en) | A kind of method and apparatus that charging equipment is searched for according to electric car feature automatically | |
CN107633701A (en) | A kind of parking space intelligent match control method | |
CN113085655A (en) | Vehicle-mounted electric automobile comprehensive service system | |
Diab et al. | Toward a better estimation of the charging corridor length of in-motion-charging trolleybuses | |
CN109102092A (en) | A kind of reservation based on vehicle performance distribution is hired a car system and method | |
CN108734981A (en) | It hires a car system and method in conjunction with the reservation of traffic congestion situation | |
DE102017208691A1 (en) | Method, storage medium and server device for switching a charging opportunity for a motor vehicle | |
CN108734310A (en) | It is a kind of that method of hiring a car is preengage based on the system of hiring a car for estimating electricity and stand-by period | |
CN109102091A (en) | One kind is distributed based on vehicle performance and dynamic circuit is matched reserves system and method for hiring a car | |
US20240067039A1 (en) | Server and vehicle management method | |
CN109102090A (en) | It is hired a car system and method based on vehicle performance distribution and the matched reservation of dynamic circuit | |
CN109598356A (en) | A kind of reservation that the matched more people of electricity share is hired a car system and method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181228 |
|
RJ01 | Rejection of invention patent application after publication |