CN108182508A - A kind of method and system of electric automobile charging station planning - Google Patents
A kind of method and system of electric automobile charging station planning Download PDFInfo
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Abstract
The present invention relates to a kind of electric automobile charging station planning method and system, the method includes:City is divided into the equal region of the length of side;It is set out according to the vehicle GPS track data in each region and UGC and the traffic index in each region is determined with destination data, and the traffic index in each region is normalized;The utilization rate index of the electrically-charging equipment in each region is determined according to the utilization rate of charging pile in the charging station quantity and charging station in each region;The charging station construction demand index in each region is determined according to the traffic index of the traffic index after the normalized in each region and each region;Charging pile installation region is chosen according to the charging station construction demand index in each region, technical solution provided by the invention, it is analyzed based on regional traffic index and existing charging station utilization rate situation, obtains scientific and reasonable Optimizing Site Selection as a result, promoting the charging experience of automobile user.
Description
Technical field
The present invention relates to electric vehicle charging fields, and in particular to the method and be that a kind of electric automobile charging station is planned
System.
Background technology
Electric vehicle has the advantage alleviated environmental pollution and improve automobile industry structure, therefore has obtained helping energetically for country
It holds, possesses vast potential for future development.In recent years, China's electric vehicle is fast-developing, the charging as electric vehicle infrastructure
System, rational charging station installation location affect the utilization rate of charging station.
At present, electric automobile charging station planning has selected different theories and algorithm, as queuing theory, particle cluster algorithm,
Genetic algorithm etc., has been mainly in view of investment cost of charging station etc., has ignored the utilization rate of charging station in itself so that portion
Divide charging station utilization rate itself not high, cause wasting of resources phenomenon.Therefore, it is necessary to provide a kind of electric automobile charging station planning
Method, promote the utilization rate of charging station, accelerate the popularization of electric vehicle.
Invention content
The present invention provides a kind of method and system of electric automobile charging station planning, and its purpose is to scientific and reasonable realities
The planning of existing electric automobile charging station addressing promotes the charging experience of automobile user, saves electric vehicle charging charging station
Construction cost, improve the utilization rate of electric automobile charging station.
The purpose of the present invention is what is realized using following technical proposals:
A kind of method of electric automobile charging station planning, it is improved in that including:
City is divided into the equal region of the length of side;
It is set out according to the vehicle GPS track data in each region and UGC and determines each region with destination data
Traffic index, and the traffic index in each region is normalized;
The electrically-charging equipment in each region is determined according to the utilization rate of charging pile in the charging station quantity and charging station in each region
Utilization rate index;
Each area is determined according to the traffic index in the traffic index after the normalized in each region and each region
The charging station construction demand index in domain;
Charging pile installation region is chosen according to the charging station construction demand index in each region.
Preferably, the vehicle GPS track data according to each region sets out with UGC and determines institute with destination data
The traffic index in each region is stated, and the traffic index in each region is normalized, including:
Vehicle GPS track data and UGC set out and destination data in pickup area i, if a vehicle occurs in region i
GPS track data or UGC set out and destination data, then the traffic index T of region iiAdd 1, TiInitial value be 0;
The traffic index of the region i is normalized as the following formula:
In above formula, T 'iTraffic index for region i be normalized after value, TiFor the traffic index of region i,
TmaxTraffic index maximum value for all areas.
Preferably, the utilization rate of charging pile determines each region in the charging station quantity and charging station according to each region
Electrically-charging equipment utilization rate index, including:
The utilization rate index U of the electrically-charging equipment of region i is determined as the following formulai:
In above formula, UiThe utilization rate index of electrically-charging equipment for region i, umiThe use of m-th of charging pile for region i
Rate, NiThe sum of charging pile for region i.
Preferably, the traffic index after the normalized according to each region and the traffic in each region refer to
Number determines the charging station construction demand index in each region, including:
The charging station construction demand index D is determined as the following formulai:
Di=α * T 'i+β*Ui
In above formula, α is the weight coefficient of the traffic index of region i, and β is the utilization rate index of the electrically-charging equipment of region i
Weight coefficient, T 'iFor region i traffic index carry out normalization after as a result, UiThe utilization rate of electrically-charging equipment for region i
Index.
Preferably, it is described that charging pile installation region is chosen according to the charging station construction demand index in each region, including:
If the charging station construction demand index of region i is more than charging station construction demand index threshold, region i is charging pile
Installation region.
Further, charging station construction demand index threshold P is determined as the following formula:
In above formula, P be charging station construction demand index threshold, DavgCharging station construction demand index for all areas
Average value, DiFor the charging station construction demand index of region i, N is the region quantity divided.
A kind of system of electric automobile charging station planning, it is improved in that including:
Division unit, for city to be divided into the equal region of the length of side;
First determination unit, sets out and destination data for the vehicle GPS track data according to each region and UGC
It determines the traffic index in each region, and the traffic index in each region is normalized;
Second determination unit, the utilization rate for charging pile in the charging station quantity and charging station according to each region determine
The utilization rate index of the electrically-charging equipment in each region;
Third determination unit, for the traffic index after the normalized according to each region and each region
Traffic index determines the charging station construction demand index in each region;
Planning unit, for choosing charging pile installation region according to the charging station construction demand index in each region.
Preferably, first determination unit, including:
Acquisition module, sets out and destination data for vehicle GPS track data in pickup area i and UGC, if region i
There is a vehicle GPS track data or UGC sets out and destination data, then the traffic index T of region iiAdd 1, TiInitial value
It is 0;
Processing module, for the traffic index of the region i to be normalized as the following formula:
In above formula, T 'iTraffic index for region i be normalized after value, TiFor the traffic index of region i,
TmaxTraffic index maximum value for all areas.
Preferably, second determination unit, including:
First determining module, for determining the utilization rate index U of the electrically-charging equipment of region i as the following formulai:
In above formula, UiThe utilization rate index of electrically-charging equipment for region i, umiThe use of m-th of charging pile for region i
Rate, NiThe sum of charging pile for region i.
Preferably, the third determination unit, including:
Second determining module, for determining the charging station construction demand index D as the following formulai:
Di=α * T 'i+β*Ui
In above formula, α is the weight coefficient of the traffic index of region i, and β is the utilization rate index of the electrically-charging equipment of region i
Weight coefficient, T 'iFor region i traffic index carry out normalization after as a result, UiThe utilization rate of electrically-charging equipment for region i
Index.
Preferably, the planning unit, including:
Planning module, if the charging station construction demand index for region i is more than charging station construction demand index threshold,
Region i is charging pile installation region.
Further, the 4th determination unit, for determining charging station construction demand index threshold P as the following formula:
In above formula, P be charging station construction demand index threshold, DavgCharging station construction demand index for all areas
Average value, DiFor the charging station construction demand index of region i, N is the region quantity divided.
Beneficial effects of the present invention:
City is divided into the equal region of the length of side by technical solution provided by the invention;According to the vehicle in each region
GPS track data set out with UGC and the traffic index in each region are determined with destination data, and to the traffic in each region
Index is normalized;Each region is determined according to the utilization rate of charging pile in the charging station quantity and charging station in each region
Electrically-charging equipment utilization rate index;According to the friendship in the traffic index after the normalized in each region and each region
Logical index determines the charging station construction demand index in each region;It is filled according to the selection of the charging station construction demand index in each region
Electric stake installation region.
The siteselecting planning of charging station is carried out according to the utilization rate of actual traffic flow and existing charging station, avoids charging station
Unchecked construction, the service efficiency of charging station can be improved.Based on technical solution provided by the invention, reasonable science can be realized
Electric automobile charging station siteselecting planning, promoted automobile user charging experience, save the construction cost of electrically-charging equipment, add
Fast electric vehicle popularizes.
Description of the drawings
Fig. 1 is a kind of flow chart of the method for electric automobile charging station planning of the present invention;
Fig. 2 is a kind of system structure diagram of electric automobile charging station planning of the present invention.
Specific embodiment
It elaborates below in conjunction with the accompanying drawings to the specific embodiment of the present invention.
Purpose, technical scheme and advantage to make the embodiment of the present invention are clearer, below in conjunction with the embodiment of the present invention
In attached drawing, the technical solution in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
The all other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
A kind of method of electric automobile charging station planning provided by the invention, as shown in Figure 1, including:
Step 1:City is divided into the equal region of the length of side;
Step 2:Being set out according to the vehicle GPS track data in each region and UGC, it is described each to be determined with destination data
The traffic index in region, and the traffic index in each region is normalized;
Step 3:Filling for each region is determined according to the utilization rate of charging pile in the charging station quantity and charging station in each region
The utilization rate index of electric facility;
Step 4:It is true according to the traffic index after the normalized in each region and the traffic index in each region
The charging station construction demand index in fixed each region;
Step 5:Charging pile installation region is chosen according to the charging station construction demand index in each region.
For example, city is divided by several square net areas that the length of side is 1000 meters according to the size to plan a city
Domain records the latitude and longitude coordinates information at four angles of each net region.
It, need to be according to the vehicle GPS track data and UGC in each region after city is divided into the equal region of the length of side
It sets out and the traffic index in each region is determined with destination data, and place is normalized to the traffic index in each region
Reason, therefore, the step 2 includes:
Vehicle GPS track data and UGC set out and destination data in pickup area i, if a vehicle occurs in region i
GPS track data or UGC set out and destination data, then the traffic index T of region iiAdd 1, TiInitial value be 0;
For example, acquire the GPS track data of each vehicle in each net region and UGC sets out and destination data, traversal
All data according to the latitude and longitude coordinates information that GPS track data and UGC set out with destination data data, determine data point
Corresponding net region, GPS track data or UGC, which set out with destination data, often to be occurred once, and the traffic of the net region refers to
Numerical value increases by 1.
The traffic index of the region i is normalized as the following formula:
In above formula, T 'iTraffic index for region i be normalized after value, TiFor the traffic index of region i,
TmaxTraffic index maximum value for all areas.
It is set out according to the vehicle GPS track data in each region and UGC and determines each region with destination data
Traffic index, and after the traffic index in each region is normalized, need the charging station number according to each region
The utilization rate of charging pile determines the utilization rate index of the electrically-charging equipment in each region in amount and charging station, and therefore, the step 3 is wrapped
It includes:
The utilization rate index U of the electrically-charging equipment of region i is determined as the following formulai:
In above formula, UiThe utilization rate index of electrically-charging equipment for region i, umiThe use of m-th of charging pile for region i
Rate, NiThe sum of charging pile for region i.
For example, obtain charging station, charging pile and the fortune in parking lot from related systems such as car networking, managing system of car parking
Data are sought, determine the data such as the average daily disengaging train number of the utilization rate of charging pile and parking lot, calculate the utilization rate of electrically-charging equipment
Index.
The electrically-charging equipment in each region is determined according to the utilization rate of charging pile in the charging station quantity and charging station in each region
Utilization rate index after, need the traffic index after the normalized according to each region and the traffic in each region
Index determines the charging station construction demand index in each region, and therefore, the step 4 includes:
The charging station construction demand index D is determined as the following formulai:
Di=α * T 'i+β*Ui
In above formula, α is the weight coefficient of the traffic index of region i, and β is the utilization rate index of the electrically-charging equipment of region i
Weight coefficient, T 'iFor region i traffic index carry out normalization after as a result, UiThe utilization rate of electrically-charging equipment for region i
Index.
α default settings are that 0.4, β default settings are 0.6, can be adjusted according to actual conditions.
Each area is determined according to the traffic index in the traffic index after the normalized in each region and each region
After the charging station construction demand index in domain, need to choose charging pile installation according to the charging station construction demand index in each region
Region, therefore, the step 5 include:
If the charging station construction demand index of region i is more than charging station construction demand index threshold, region i is charging pile
Installation region.
Wherein, average value or cumulative frequency way may be used in the setting method of charging station construction demand index threshold P.
It is to calculate all areas charging station construction demand index D using mean value methodiAverage value, determine to fill as the following formula
Power plant construction demand index threshold value P:
In above formula, P be charging station construction demand index threshold, DavgCharging station construction demand index for all areas
Average value, DiFor the charging station construction demand index of region i, N is the region quantity divided.
Using cumulative frequency way by charging station construction demand index DiIt is divided into 10 grades, range is respectively 0-9,10-19,
20-29,30-39,40-49,50-59,60-69,70-79,80-89,90-100.All net regions are traversed, judge each area
The charging station construction demand index D in domainiWhich class range is value belong to, which, which counts, increases by 1, is counted according to each class
The accounting value of each class is worth to, according to the accounting value of each class, it is corresponding that accumulative accounting 90% is found by interpolation method
DiValue is as charging station construction demand index threshold P.
According to charging station construction demand index threshold P, charging station construction demand index D is filtered outiMore than charging station construction
All net regions of demand index threshold value P, in the net region filtered out, selection has the parking of charging pile mounting condition
, in the parking lot for having charging pile mounting condition, operation cost is installed according to charging station and parking lot is average daily
The practical problems such as stop frequency consider, and select installation addressing of the suitable parking lot as charging pile.
A kind of system of electric automobile charging station planning, as shown in Figure 2, which is characterized in that the system comprises:
Division unit, for city to be divided into the equal region of the length of side;
First determination unit, sets out and destination data for the vehicle GPS track data according to each region and UGC
It determines the traffic index in each region, and the traffic index in each region is normalized;
Second determination unit, the utilization rate for charging pile in the charging station quantity and charging station according to each region determine
The utilization rate index of the electrically-charging equipment in each region;
Third determination unit, for the traffic index after the normalized according to each region and each region
Traffic index determines the charging station construction demand index in each region;
Planning unit, for choosing charging pile installation region according to the charging station construction demand index in each region.
By map partitioning it is net region of the same size by network graticule for example, the division unit.
Preferably, first determination unit, including:
Acquisition module, sets out and destination data for vehicle GPS track data in pickup area i and UGC, if region i
There is a vehicle GPS track data or UGC sets out and destination data, then the traffic index T of region iiAdd 1, TiInitial value
It is 0;
Processing module, for the traffic index of the region i to be normalized as the following formula:
In above formula, T 'iTraffic index for region i be normalized after value, TiFor the traffic index of region i,
TmaxTraffic index maximum value for all areas.
It is obtained for example, network traffic exponent data is calculated by big data.
Preferably, second determination unit, including:
First determining module, for determining the utilization rate index U of the electrically-charging equipment of region i as the following formulai:
In above formula, UiThe utilization rate index of electrically-charging equipment for region i, umiThe use of m-th of charging pile for region i
Rate, NiThe sum of charging pile for region i.
For example, the operation data from the related systems such as car networking, managing system of car parking acquisition charging pile, parking lot, meter
Calculate the data such as the utilization rate of charging station and disengaging of the average day train number in parking lot.
Preferably, the third determination unit, including:
Second determining module, for determining the charging station construction demand index D as the following formulai:
Di=α * T 'i+β*Ui
In above formula, α is the weight coefficient of the traffic index of region i, and β is the utilization rate index of the electrically-charging equipment of region i
Weight coefficient, T 'iFor region i traffic index carry out normalization after as a result, UiThe utilization rate of electrically-charging equipment for region i
Index.
Preferably, the planning unit, including:
Planning module, if the charging station construction demand index for region i is more than charging station construction demand index threshold,
Region i is charging pile installation region.
Preferably, the 4th determination unit, for determining charging station construction demand index threshold P as the following formula:
In above formula, P be charging station construction demand index threshold, DavgCharging station construction demand index for all areas
Average value, DiFor the charging station construction demand index of region i, N is the region quantity divided.
For example, user can adjust charging station construction demand index threshold P, setting charging station construction demand index threshold P
Afterwards, planning module filters out qualified region according to planing method.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware can be used in the application
Apply the form of example.Moreover, the computer for wherein including computer usable program code in one or more can be used in the application
The computer program production that usable storage medium is implemented on (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The application is with reference to the flow according to the method for the embodiment of the present application, equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
The processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices is generated for real
The device of function specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction generation being stored in the computer-readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps are performed on calculation machine or other programmable devices to generate computer implemented processing, so as in computer or
The instruction offer performed on other programmable devices is used to implement in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Finally it should be noted that:The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, to the greatest extent
Pipe is described in detail the present invention with reference to above-described embodiment, those of ordinary skills in the art should understand that:Still
The specific embodiment of the present invention can be modified or replaced equivalently, and without departing from any of spirit and scope of the invention
Modification or equivalent replacement should all cover within the claims of the present invention.
Claims (12)
- A kind of 1. method of electric automobile charging station planning, which is characterized in that the method includes:City is divided into the equal region of the length of side;It is set out according to the vehicle GPS track data in each region and UGC and the traffic in each region is determined with destination data Index, and the traffic index in each region is normalized;Making for the electrically-charging equipment in each region is determined according to the utilization rate of charging pile in the charging station quantity and charging station in each region With rate index;Each region is determined according to the traffic index in the traffic index after the normalized in each region and each region Charging station construction demand index;Charging pile installation region is chosen according to the charging station construction demand index in each region.
- 2. the method as described in claim 1, which is characterized in that the vehicle GPS track data according to each region with UGC sets out and the traffic index in each region is determined with destination data, and carries out normalizing to the traffic index in each region Change is handled, including:Vehicle GPS track data and UGC set out and destination data in pickup area i, if a vehicle GPS rail occurs in region i Mark data or UGC set out and destination data, then the traffic index T of region iiAdd 1, TiInitial value be 0;The traffic index of the region i is normalized as the following formula:In above formula, T 'iTraffic index for region i be normalized after value, TiFor the traffic index of region i, TmaxFor The traffic index maximum value of all areas.
- 3. the method as described in claim 1, which is characterized in that in the charging station quantity and charging station according to each region The utilization rate of charging pile determines the utilization rate index of the electrically-charging equipment in each region, including:The utilization rate index U of the electrically-charging equipment of region i is determined as the following formulai:In above formula, UiThe utilization rate index of electrically-charging equipment for region i, umiThe utilization rate of m-th of charging pile for region i, NiFor The sum of the charging pile of region i.
- 4. the method as described in claim 1, which is characterized in that the traffic after the normalized according to each region Index and the traffic index in each region determine the charging station construction demand index in each region, including:The charging station construction demand index D is determined as the following formulai:Di=α * T 'i+β*UiIn above formula, α is the weight coefficient of the traffic index of region i, and β is the weight of the utilization rate index of the electrically-charging equipment of region i Coefficient, T 'iFor region i traffic index carry out normalization after as a result, UiThe utilization rate index of electrically-charging equipment for region i.
- 5. the method as described in claim 1, which is characterized in that the charging station construction demand index according to each region Charging pile installation region is chosen, including:If the charging station construction demand index of region i is more than charging station construction demand index threshold, region i is installed for charging pile Region.
- 6. method as claimed in claim 5, which is characterized in that determine charging station construction demand index threshold P as the following formula:In above formula, P be charging station construction demand index threshold, DavgCharging station construction demand index for all areas is averaged Value, DiFor the charging station construction demand index of region i, N is the region quantity divided.
- 7. a kind of system of electric automobile charging station planning, which is characterized in that the system comprises:Division unit, for city to be divided into the equal region of the length of side;First determination unit determines for being set out according to the vehicle GPS track data in each region with UGC with destination data The traffic index in each region, and the traffic index in each region is normalized;Second determination unit, the utilization rate for charging pile in the charging station quantity and charging station according to each region determine each area The utilization rate index of the electrically-charging equipment in domain;Third determination unit, for the traffic in the traffic index after the normalized according to each region and each region Index determines the charging station construction demand index in each region;Planning unit, for choosing charging pile installation region according to the charging station construction demand index in each region.
- 8. system as claimed in claim 7, which is characterized in that first determination unit, including:Acquisition module, sets out and destination data for vehicle GPS track data in pickup area i and UGC, if region i occurs Vehicle GPS track data or UGC sets out and destination data, then the traffic index T of region iiAdd 1, TiInitial value be 0;Processing module, for the traffic index of the region i to be normalized as the following formula:In above formula, T 'iTraffic index for region i be normalized after value, TiFor the traffic index of region i, TmaxFor The traffic index maximum value of all areas.
- 9. system as claimed in claim 7, which is characterized in that second determination unit, including:First determining module, for determining the utilization rate index U of the electrically-charging equipment of region i as the following formulai:In above formula, UiThe utilization rate index of electrically-charging equipment for region i, umiThe utilization rate of m-th of charging pile for region i, NiFor The sum of the charging pile of region i.
- 10. system as claimed in claim 7, which is characterized in that the third determination unit, including:Second determining module, for determining the charging station construction demand index D as the following formulai:Di=α * T 'i+β*UiIn above formula, α is the weight coefficient of the traffic index of region i, and β is the weight of the utilization rate index of the electrically-charging equipment of region i Coefficient, T 'iFor region i traffic index carry out normalization after as a result, UiThe utilization rate index of electrically-charging equipment for region i.
- 11. system as claimed in claim 7, which is characterized in that the planning unit, including:Planning module, if the charging station construction demand index for region i is more than charging station construction demand index threshold, region I is charging pile installation region.
- 12. system as claimed in claim 11, which is characterized in that the 4th determination unit, for determining that charging station is built as the following formula If demand index threshold value P:In above formula, P be charging station construction demand index threshold, DavgCharging station construction demand index for all areas is averaged Value, DiFor the charging station construction demand index of region i, N is the region quantity divided.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2013053394A1 (en) * | 2011-10-13 | 2013-04-18 | Nokia Siemens Networks Oy | Method and device for determining a position for a charging station |
CN107169605A (en) * | 2017-05-18 | 2017-09-15 | 东南大学 | City electric car charging station site selecting method based on vehicle location information |
CN107274035A (en) * | 2017-07-18 | 2017-10-20 | 东南大学 | A kind of transportation network and the method for electric automobile charging station coordinated planning |
-
2017
- 2017-12-07 CN CN201711285280.5A patent/CN108182508A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2013053394A1 (en) * | 2011-10-13 | 2013-04-18 | Nokia Siemens Networks Oy | Method and device for determining a position for a charging station |
CN107169605A (en) * | 2017-05-18 | 2017-09-15 | 东南大学 | City electric car charging station site selecting method based on vehicle location information |
CN107274035A (en) * | 2017-07-18 | 2017-10-20 | 东南大学 | A kind of transportation network and the method for electric automobile charging station coordinated planning |
Non-Patent Citations (1)
Title |
---|
张娟 等: "电动汽车充电桩设施网合理规划研究" * |
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