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 PDF

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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
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electric car
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vehicle
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electricity
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蒋阳川
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Ningbo Xuanyuexing Electric Automobile Service Co Ltd
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    • 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
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    • G06Q10/02Reservations, e.g. for tickets, services or events
    • 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
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    • 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
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    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0645Rental transactions; Leasing transactions
    • 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry
    • 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

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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

One kind based on vehicle performance distribution and dynamic circuit it is matched reservation hire a car system and Method
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.
CN201710471735.6A 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 Pending CN109102091A (en)

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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

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