CN113240216A - Charging station service range calculation method, system, device, and computer storage medium - Google Patents
Charging station service range calculation method, system, device, and computer storage medium Download PDFInfo
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Abstract
The application discloses a charging station service range calculation method, which comprises the steps of obtaining evaluation indexes of a charging station, processing the evaluation indexes to obtain the weight of each evaluation index, and establishing a comprehensive strength model of the charging station; acquiring position information of the attracted area and the charging station, and analyzing to obtain a field intensity coefficient of the influence of the charging station; establishing a charging station influence field strength model according to the charging station comprehensive strength model, the charging station influence field strength coefficient and the position information of the attracted area and the charging station; and calculating all attracted areas according to the charging station influence field intensity model, and analyzing to obtain the service ranges of all charging stations. The service range of the charging station can be accurately reflected, a new method and basis are provided for researching the radiation area and site selection of the electric vehicle charging station and planning and construction of a city, and a reasonable suggestion is provided for a user to select the charging station when the user goes out. The charging station service range calculation system, the charging station service range calculation equipment and the computer storage medium solve the corresponding technical problems.
Description
Technical Field
The present disclosure relates to the field of electric vehicle charging station technologies, and in particular, to a charging station service range calculation method, system, device, and computer storage medium.
Background
Electric vehicle charging stations are emerging with the rapid development of the electric vehicle industry. Under the support of intensive national industrial policies and the strong subsidy, the sales volume of electric automobiles in China realizes explosive growth in the last years, wherein the sales volume in 2014 is 8.5 thousands of electric automobiles, and the sales volume is increased by 382.9% on a year-by-year basis; the sales volume in 2015 is 33.1 million, and the year-on-year increase is 289.5%; in 2016 + 2017, the increase trend of the electric automobile is still higher although the sales of the electric automobile is increased and slides down. The increase of electric automobile sales volume has more driven the increase of charging station quantity, and the charging station also provides good development basis for the development of electric automobile trade. In the future, the distribution of electric vehicle charging stations or charging piles in China will be more extensive, and therefore the development of the China electric vehicle industry is promoted.
At present, the charging station market in China is developed by first involving several large-scale enterprises with industrial advantages, and with the release of the charging station market, civil enterprises gradually enter the market. Electric vehicle charging station construction main parts can be divided into five types: the power grid company mainly comprises a national power grid and a southern power grid, the energy companies comprise medium petrochemicals, medium sea oil, medium petroleum and the like, the automobile manufacturers comprise new northern steam energy, a gasoline supply group, Tesla, BYD and the like, and the other enterprises comprise common new energy, rich electricity technology, special incoming calls and the like with high popularity. The new thinking industry analysts show that the china charging station industry is in a fast growth period, more enterprises will enter the field in the future, and the market competition will be further intensified. Therefore, in order to provide users with a charging station having market competitiveness, it is necessary to accurately calculate a service range of the charging station.
How to achieve accurate calculation of the service range of the charging station, so as to provide the charging station with market competitiveness for users, is a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
In order to solve the above technical problems, an object of the present invention is to provide a method for calculating a service range of a charging station, which can accurately calculate the service range of the charging station, thereby providing a charging station with market competitiveness for users; the invention also provides a charging station service range calculation system, equipment and a computer storage medium.
The technical scheme provided by the invention is as follows:
a charging station service range calculation method, comprising:
obtaining evaluation indexes of the charging station, processing to obtain the weight of each evaluation index, and establishing a comprehensive strength model of the charging station;
acquiring position information of the attracted area and the charging station, and analyzing to obtain a field intensity coefficient of the influence of the charging station;
establishing a charging station influence field strength model according to the charging station comprehensive strength model, the charging station influence field strength coefficient and the position information of the attracted area and the charging station;
and calculating all attracted areas according to the charging station influence field intensity model, and analyzing to obtain the service ranges of all charging stations.
Further, the evaluation index of the charging station includes: contract capacity, number of fast-charging piles, number of slow-charging piles, service charge price and charging price.
Further, obtaining evaluation indexes of the charging station, processing to obtain weights of the evaluation indexes, and establishing a comprehensive strength model of the charging station, including:
obtaining an evaluation index of a charging station and carrying out standardization processing to obtain a standardized evaluation index;
carrying out translation processing on the standardized evaluation index to obtain a standardized translation evaluation index;
calculating to obtain entropy values of all standardized translation evaluation indexes;
calculating the difference coefficient of each standardized translation evaluation index according to the entropy value to obtain the weight of each standardized translation evaluation index;
and establishing a charging station comprehensive strength model according to the evaluation indexes and the weights, and calculating to obtain the average comprehensive strength of the charging station.
Further, the location information includes longitude information and latitude information;
the position information of the attracted area and the charging station is acquired, and the influence field intensity coefficient of the charging station is obtained through analysis, and the method comprises the following steps:
acquiring position information of the attracted area and a charging station, and calculating to obtain the distance between the charging station and the attracted area and the average distance between the charging station and the attracted area;
constructing a Wilson model according to the distance between the charging station and the attracted area, the average distance between the charging station and the attracted area, the charging station comprehensive strength model and the charging station average comprehensive strength;
and analyzing to obtain the field intensity coefficient of the influence of the charging station based on the Wilson model.
Further, according to the comprehensive strength model of the charging station, the influence field strength coefficient of the charging station and the position information of the attracted area and the charging station, a charging station influence field strength model is established, which includes:
establishing a charging station influence field intensity formula taking a charging station as a center;
and obtaining a charging station influence field intensity model according to the charging station comprehensive strength model, the charging station influence field intensity coefficient, the distance between the charging station and the attracted area and a charging station influence field intensity formula.
Further, all attracted areas are calculated according to the charging station influence field intensity model, and the service ranges of all charging stations are obtained through analysis, wherein the method comprises the following steps:
establishing an Isaacs method model according to the position information of the attracted area and the charging station;
according to the Isaded method model, obtaining data information of the charging station with the largest influence of each attracted area on the attracted area;
and processing the data information of all the charging stations with the largest influence on the attracted area according to the data information of all the charging stations to obtain the service ranges of all the charging stations.
A charging station service range computing system, comprising:
the comprehensive strength acquisition module is used for acquiring evaluation indexes of the charging station, processing the evaluation indexes to obtain the weight of each evaluation index, and establishing a comprehensive strength model of the charging station;
the influence field intensity coefficient acquisition module is used for acquiring the position information of the attracted area and the charging station and analyzing the position information to obtain the influence field intensity coefficient of the charging station;
the influence field intensity acquisition module is used for establishing a charging station influence field intensity model according to the charging station comprehensive strength model, the charging station influence field intensity coefficient and the position information of the attracted area and the charging station;
and the calculation module is used for calculating all attracted areas according to the charging station influence field intensity model and analyzing to obtain the service ranges of all charging stations.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method as claimed in any one of the above when the computer program is executed by the processor.
A computer storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the method according to any one of the preceding claims.
The invention provides a charging station service range calculation method, which comprises the steps of obtaining evaluation indexes of a charging station, processing the evaluation indexes to obtain the weight of each evaluation index, and establishing a comprehensive strength model of the charging station; acquiring position information of the attracted area and the charging station, and analyzing to obtain a field intensity coefficient of the influence of the charging station; establishing a charging station influence field strength model according to the charging station comprehensive strength model, the charging station influence field strength coefficient and the position information of the attracted area and the charging station; and calculating all attracted areas according to the charging station influence field intensity model, and analyzing to obtain the service ranges of all charging stations. The method can more accurately obtain and reflect the service range of the charging station, not only provides a new method for researching the radiation area of the charging station of the electric automobile, provides a new basis for researching the site selection of the charging station and the planning and construction of the city, but also can provide a reasonable suggestion for the selection of the charging station when a user goes out. For enterprise companies, a strength calculation method of the charging station is provided, and reference is also provided for market competition among the charging stations. The charging station service range calculation system, the charging station service range calculation equipment and the computer storage medium solve the corresponding technical problems.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flow chart of a charging station service range calculation method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of establishing a charging station comprehensive strength model according to an embodiment of the present invention;
fig. 3 is a schematic diagram of analyzing the influence field intensity coefficient of the charging station according to the embodiment of the present invention;
fig. 4 is a schematic diagram illustrating a charging station influence field strength model according to an embodiment of the present invention;
fig. 5 is a schematic view of calculating and analyzing all attracted areas according to a charging station influence field strength model to obtain service ranges of all charging stations according to the embodiment of the present invention;
FIG. 6 is a schematic structural diagram of a charging station service area calculation system according to an embodiment of the present invention;
FIG. 7 is a schematic structural diagram of a charging station service area computer device according to an embodiment of the present invention;
fig. 8 is an exemplary diagram of a service range of a charging station related to a hibiscus area according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It will be understood that when an element is referred to as being "fixed" or "disposed" on another element, it can be directly on the other element or be indirectly disposed on the other element; when an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
It will be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like, refer to an orientation or positional relationship illustrated in the drawings for convenience in describing the present application and to simplify description, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present application.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "plurality" or "a plurality" means two or more unless specifically limited otherwise.
It should be understood that the structures, ratios, sizes, and the like shown in the drawings are only used for matching the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the practical limit conditions of the present application, so that the modifications of the structures, the changes of the ratio relationships, or the adjustment of the sizes, do not have the technical essence, and the modifications, the changes of the ratio relationships, or the adjustment of the sizes, are all within the scope of the technical contents disclosed in the present application without affecting the efficacy and the achievable purpose of the present application.
The embodiments of the present application are written in a progressive manner.
As shown in fig. 1, an embodiment of the present invention provides a charging station service range calculation method, including:
101. obtaining evaluation indexes of the charging station, processing to obtain the weight of each evaluation index, and establishing a comprehensive strength model of the charging station;
in this embodiment, the evaluation index of the charging station includes: contract capacity, number of fast-charging piles, number of slow-charging piles, service fee price and charging price, and the number of evaluation indexes is 5. The contract capacity, the number of the fast-charging piles and the number of the slow-charging piles are forward evaluation indexes, and the larger the numerical value is, the larger the service range of the charging station is; the service cost price and the total charging price are negative evaluation indexes, and the larger the numerical value is, the smaller the service range of the charging station is. Of course, the evaluation index may be set to other contents, and is not limited to the above 5 indexes. And processing the evaluation indexes of the charging station according to an entropy method to obtain the weight of each index of the charging station, and establishing a model for representing the comprehensive strength of the charging station.
102. Acquiring position information of the attracted area and the charging station, and analyzing to obtain a field intensity coefficient of the influence of the charging station;
in this embodiment, position information of the attracted area and the charging station is obtained, where the position information includes longitude information and latitude information, a distance between the attracted area and the charging station is calculated according to the position information of the attracted area and the charging station, and then a field intensity coefficient of an influence of the charging station is obtained based on a wilson model.
103. Establishing a charging station influence field strength model according to the charging station comprehensive strength model, the charging station influence field strength coefficient and the position information of the attracted area and the charging station;
in this embodiment, the charging station influence field strength model is obtained according to the charging station comprehensive strength model calculated in steps 101 and 102, the charging station influence field strength coefficient, the distance between the attracted area and the charging station position information, and the point-charge electric field strength formula.
104. And calculating all attracted areas according to the charging station influence field intensity model, and analyzing to obtain the service ranges of all charging stations.
In this embodiment, all attracted areas are calculated within a certain range of the city according to the charging station influence field strength model obtained in step 103, and the service ranges of all charging stations are determined by using the service ranges of the charging stations having the largest influence on the attracted areas. After obtaining the evaluation indexes of the charging stations belonging to all the attracted areas, performing point-to-point grid operation on the point data by adopting an ArcGIS, and drawing the service ranges of all the charging stations.
In the embodiment of the invention, the evaluation indexes of the charging station are obtained, the weight of each evaluation index is obtained through processing, and a comprehensive strength model of the charging station is established; acquiring position information of the attracted area and the charging station, and analyzing to obtain a field intensity coefficient of the influence of the charging station; establishing a charging station influence field strength model according to the charging station comprehensive strength model, the charging station influence field strength coefficient and the position information of the attracted area and the charging station; and calculating all attracted areas according to the charging station influence field intensity model, and analyzing to obtain the service ranges of all charging stations. The method can more accurately obtain and reflect the service range of the charging station, not only provides a new method for researching the radiation area of the charging station of the electric automobile, provides a new basis for researching the site selection of the charging station and the planning and construction of the city, but also can provide a reasonable suggestion for the selection of the charging station when a user goes out. For enterprise companies, a strength calculation method of the charging station is provided, and reference is also provided for market competition among the charging stations.
Specifically, as shown in fig. 2, fig. 2 is a schematic diagram of establishing a charging station comprehensive strength model according to an embodiment of the present invention, and includes:
201. obtaining an evaluation index of a charging station and carrying out standardization processing to obtain a standardized evaluation index;
in this embodiment, the evaluation indexes of all charging stations are standardized, and the extreme method is adopted as the method for standardizing the evaluation indexes of the charging stations in this patent, and for the forward direction index, the following formula can be used for processing:
in the formula (I), the compound is shown in the specification,
is composed of
The maximum value of the number of the first and second,
is composed of
A minimum value.
For the inverse index, the following formula can be used:
thus, a standardized evaluation index is obtained.
202. Carrying out translation processing on the standardized evaluation index to obtain a standardized translation evaluation index;
in this embodiment, since zero and negative values must be clear for meaningful data calculation processing, the standardized evaluation index needs to be translated as a whole, that is, the evaluation index needs to be translated as a whole
But in order to not destroy the intrinsic rule of the original data, the original data is retained to the maximum extent,
the ground value must be as small as possible, i.e.
Is closest to
Is taken herein as the minimum value of
。
203. Calculating to obtain an entropy value of each standardized translation evaluation index;
in this embodiment, the first step is calculated
Under the individual index, the first
The characteristic weight or contribution of the individual study objects.
Calculating the second degree according to the characteristic proportion or contribution degree
Entropy of term index.
And obtaining the entropy value of each standardized translation evaluation index.
204. Calculating a difference coefficient of each standardized translation evaluation index according to the entropy value to obtain the weight of each standardized translation evaluation index;
in this embodiment, the entropy value of the normalized translational evaluation index is calculated
The coefficient of variation of the item index,
the calculation of the weight of the normalized translation evaluation index is performed according to the following formula,
and then toObtaining the weight of each standard translation evaluation index
。
205. And establishing a charging station comprehensive strength model according to the evaluation index and the weight, and calculating to obtain the average comprehensive strength of the charging station.
In this embodiment, according to the evaluation index and the weight, a charging station comprehensive strength model is constructed:
in the above formula, the first and second carbon atoms are,
is as follows
The weight of each of the indices is,
is a sign of a correlation coefficient, if
Is a positive correlation evaluation index
If, if
Is a negative correlation index
，
Is as follows
The term is indicative of the original value of the index,
is as follows
The maximum value of the index is calculated according to the comprehensive strength model of the charging station to obtain the average comprehensive strength of the charging station
。
To explain in detail the acquisition of the position information of the attracted area and the charging station and the analysis of the field intensity coefficient of the charging station influence obtained in step 102 in the embodiment in fig. 1, as shown in fig. 3, fig. 3 is a schematic diagram of the analysis of the field intensity coefficient of the charging station influence provided in the embodiment of the present invention, which includes:
301. acquiring position information of an attracted area and a charging station, and calculating to obtain the distance between the charging station and the attracted area and the average distance between the charging station and the attracted area;
in this embodiment, the position information of the attracted area and the charging station is obtained, and the distance between the charging station and the attracted area is calculated according to the following formula:
in the above formula, the first and second carbon atoms are,
and
respectively representing the longitude and latitude of the attracted area and the charging station;
is the radius of the earth;
and calculating the average distance between the charging station and the attracted area according to the distance between the charging station and the attracted area
。
302. Constructing a Wilson model according to the distance between the charging station and the attracted area, the average distance between the charging station and the attracted area, the charging station comprehensive strength model and the charging station average comprehensive strength;
in this embodiment, the wilson model discloses an interaction relationship between two areas, and is constructed as follows according to a distance between the charging station and the attracted area, the charging station comprehensive strength model, and the charging station average comprehensive strength:
in the above formula: balance
As interaction nuclei, parameters
In order to be able to use the attenuation factor,
then it is used as a normalization factor.
Indicating area
The total amount of the material actually supplied,
is a region
Total amount of material actually required.
in the above formula:
the number of the transfer factors in the field element, namely the number of the charging stations in the field;
representing the area of the field element, namely the average area of the area where each charging station is located;
the number of charging stations with the radiation function.
303. And analyzing to obtain the field intensity coefficient of the influence of the charging station based on the Wilson model.
In this embodiment, according to the wilson model, a calculation formula of the field intensity coefficient of the influence force of the charging station is established:
in the formula (I), the compound is shown in the specification,
as the square of the average combined strength of the charging stations,
which is the square of the average distance of the charging station from the attracted area.
Explaining in detail the establishment of the charging station influence field strength model according to the charging station comprehensive strength model, the charging station influence field strength coefficient, and the location information of the attracted area and the charging station in step 103 of the embodiment in fig. 1, as shown in fig. 4, fig. 4 is a schematic diagram of the establishment of the charging station influence field strength model according to the embodiment of the present invention, and includes:
401. establishing a charging station influence field intensity formula taking a charging station as a center;
in this embodiment, the electric field intensity formula of the point-charge is derived, and the electric field intensity formula is as follows:
establishing a charging station influence force field intensity formula taking a charging station as a center by taking a point charge field intensity calculation formula as a reference, wherein the point charge field intensity calculation formula comprises the following steps:
in the formula (I), the compound is shown in the specification,
is as follows
The influence field intensity coefficient of each charging station.
402. And obtaining a charging station influence field strength model according to the charging station comprehensive strength model, the charging station influence field strength coefficient, the distance between the charging station and the attracted area and the charging station influence field strength formula.
In this embodiment, according to the charging station comprehensive strength model, the charging station influence field strength coefficient, and the distance between the charging station and the attracted area obtained in steps 101 and 102, the charging station influence field strength formula is substituted to obtain a charging station influence field strength model:
as shown in fig. 5, fig. 5 is a schematic diagram of calculating and analyzing all attracted areas according to the charging station influence field strength model to obtain service ranges of all charging stations in step 104 of the embodiment in fig. 1, and includes:
501. establishing an Isaacs method model according to the position information of the attracted area and the charging station;
in this embodiment, the basis for dividing the attracted area into charging stations is the "strongest occupation method" proposed by the assaded, and an assaded model is established according to the position information of the attracted area and the charging stations as follows:
502. according to the Isaacs method model, obtaining data information of the charging station with the largest influence of each attracted area on the attracted area;
in this embodiment, in a certain range of the city, each attracted area is calculated according to the charging station influence model in step 103 and the assade model in step 501, and data information of the charging station having the largest influence on each attracted area is obtained.
503. And processing the data information of all the charging stations with the largest influence on the attracted area to obtain the service ranges of all the charging stations.
In this embodiment, the ArcGIS is adopted to perform the dot-to-grid operation on the data information of all the attracted areas, so as to obtain the service range of each charging station. Similarly, all the charging stations in the urban area can calculate the service ranges of all the charging stations according to the method, and the service ranges of all the charging stations are displayed on the ArcGIS software interface.
The charging station service range calculation method is explained in detail in the above embodiment, and the charging station service range calculation system is explained below.
As shown in fig. 6, the present invention provides a charging station service range calculation system including:
the comprehensive strength acquisition module 601 is used for acquiring evaluation indexes of the charging station, processing the evaluation indexes to obtain weights of the evaluation indexes, and establishing a comprehensive strength model of the charging station;
an influence field strength coefficient acquisition module 602, configured to acquire position information of the attracted area and the charging station, and analyze the position information to obtain an influence field strength coefficient of the charging station;
the influence field intensity acquisition module 603 is configured to establish a charging station influence field intensity model according to the charging station comprehensive strength model, the charging station influence field intensity coefficient, and the position information of the attracted area and the charging station;
and the calculating module 604 is configured to calculate all attracted areas according to the charging station influence field strength model, and analyze the calculation result to obtain service ranges of all charging stations.
For specific limitations of the charging station service range calculation system, see the above limitations of the charging station service range calculation method, which are not described herein again. The various modules in the charging station service area computing system described above may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
The invention also provides charging station service range computer equipment and a computer storage medium, which have the corresponding effects of the charging station service range calculation method provided by the embodiment of the invention. Referring to fig. 7, fig. 7 is a schematic structural diagram of a charging station service area computer device according to an embodiment of the present invention.
The embodiment of the invention provides computer equipment, which comprises:
a memory 701 for storing a computer program;
a processor 702 for implementing the steps of the charging station service range calculation method as described in any of the above embodiments when executing the computer program.
Embodiments of the present invention provide a computer storage medium having a computer program stored thereon, where the computer program is executed by a processor to implement the steps of the charging station service range calculation method described in any of the above embodiments.
For a description of a related part of the charging station service range computer device and the computer storage medium provided in the embodiments of the present invention, reference is made to detailed descriptions of a corresponding part of the charging station service range calculation method provided in the embodiments of the present invention, and details are not repeated herein. In addition, parts of the above technical solutions provided in the embodiments of the present invention that are consistent with the implementation principles of the corresponding technical solutions in the prior art are not described in detail, so as to avoid redundant description.
For further explanation of the present invention, the following detailed description will be made of a charging station service range calculation method according to an embodiment of the present invention, but the present invention is not to be construed as being limited to the scope of the present invention.
In this example, the data of the charging station in the hibiscus area in changsha is taken as an example to verify the calculation method of the service range of the charging station provided by this embodiment.
The charging pile data table in Changsha city comprises 271 charging stations, and for convenience of analysis and calculation, calculation verification is only carried out on all the charging stations in the hibiscus area in Changsha city. The invention adopts ArcGIS software to carry out drawing operation, and an ArcGIS product line provides a telescopic and comprehensive GIS platform for users. ArcObjects contain many programmable components, ranging from fine-grained objects (e.g., single geometric objects) to coarse-grained objects (e.g., map objects that interact with existing ArcMap documents) that integrate full GIS functionality for developers.
According to the formula in step 101, entropy weight method calculation is performed on 271 charging station data in Changsha city to obtain the weight of each index of the charging station as follows:
TABLE 1 charging station index weights
53 lotus district charging stations in Changsha city are extracted by ArcGIS, wherein the longitude and latitude of individual charging stations are the same due to over aggregation, for example, the charging station data near the rural areas in the lotus district are as follows:
TABLE 2 charging station related data near Nagao
The four charging stations have the same longitude and latitude, and are combined to be regarded as one charging station for facilitating subsequent calculation and analysis. The contract capacity of the combined charging station, the number of the fast and slow charging piles are processed according to accumulation, the service charge and the charging price are processed according to an average number, and the combined charging station data are as follows:
TABLE 3 Combined farm charging station data
The charging station data of the hibiscus area in Changsha city are processed to obtain the following 36 charging station data:
table 4 charging station related data for hibiscus area
And processing a hibiscus map of Changsha city, and dividing the hibiscus map into 16289 attracted areas with the longitude and latitude precision of 0.0005. The data of the attracted area and the charging stations were calculated by Matlab, and these 16289 attracted areas were divided into the service areas of 36 charging stations in the hibiscus area based on the charging station influence field intensity formula in step 103.
The ArcGIS is adopted to import the data of the divided attracted area and the charging stations, and a dot-grid tool is utilized to obtain an exemplary diagram of the service range of the charging stations of the cotton rose area provided by the embodiment of the invention as shown in FIG. 8, wherein the charging station addresses represented by the numbers 1-36 are shown in Table 4.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A charging station service range calculation method is characterized by comprising the following steps:
obtaining evaluation indexes of the charging station, processing to obtain the weight of each evaluation index, and establishing a comprehensive strength model of the charging station;
acquiring position information of the attracted area and the charging station, and analyzing to obtain a field intensity coefficient of the influence of the charging station;
establishing a charging station influence field strength model according to the charging station comprehensive strength model, the charging station influence field strength coefficient and the position information of the attracted area and the charging station;
and calculating all attracted areas according to the charging station influence field intensity model, and analyzing to obtain the service ranges of all charging stations.
2. The method of claim 1, wherein the evaluation index of the charging station comprises: contract capacity, number of fast-charging piles, number of slow-charging piles, service charge price and charging price.
3. The method of claim 1, wherein the obtaining evaluation indexes of the charging station, processing the obtained weights of the evaluation indexes, and establishing a comprehensive strength model of the charging station comprises:
obtaining an evaluation index of a charging station and carrying out standardization processing to obtain a standardized evaluation index;
carrying out translation processing on the standardized evaluation index to obtain a standardized translation evaluation index;
calculating to obtain an entropy value of each standardized translation evaluation index;
calculating a difference coefficient of each standardized translation evaluation index according to the entropy value to obtain the weight of each standardized translation evaluation index;
and establishing a charging station comprehensive strength model according to the evaluation index and the weight, and calculating to obtain the average comprehensive strength of the charging station.
4. The method of claim 3, wherein the location information comprises longitude information and latitude information;
the position information of the attracted area and the charging station is obtained, and the influence field intensity coefficient of the charging station is obtained through analysis, and the method comprises the following steps:
acquiring position information of an attracted area and a charging station, and calculating to obtain the distance between the charging station and the attracted area and the average distance between the charging station and the attracted area;
constructing a Wilson model according to the distance between the charging station and the attracted area, the average distance between the charging station and the attracted area, the charging station comprehensive strength model and the charging station average comprehensive strength;
and analyzing to obtain the field intensity coefficient of the influence of the charging station based on the Wilson model.
5. The method of claim 4, wherein the establishing a charging station influence field strength model based on the charging station integrated force model, the charging station influence field strength coefficients, and the location information of the attracted area and the charging station comprises:
establishing a charging station influence field intensity formula taking a charging station as a center;
and obtaining a charging station influence field strength model according to the charging station comprehensive strength model, the charging station influence field strength coefficient, the distance between the charging station and the attracted area and the charging station influence field strength formula.
6. The method of claim 5, wherein the calculating of all attracted regions from the charging station impact field strength model and the analyzing of the service areas of all charging stations comprises:
establishing an Isaacs method model according to the position information of the attracted area and the charging station;
according to the Isaacs method model, obtaining data information of the charging station with the largest influence of each attracted area on the attracted area;
and processing the data information of all the charging stations with the largest influence on the attracted area to obtain the service ranges of all the charging stations.
7. A charging station service range computing system, comprising:
the comprehensive strength acquisition module is used for acquiring evaluation indexes of the charging station, processing the evaluation indexes to obtain the weight of each evaluation index, and establishing a comprehensive strength model of the charging station;
the influence field intensity coefficient acquisition module is used for acquiring the position information of the attracted area and the charging station and analyzing the position information to obtain the influence field intensity coefficient of the charging station;
the influence field intensity acquisition module is used for establishing a charging station influence field intensity model according to the charging station comprehensive strength model, the charging station influence field intensity coefficient and the position information of the attracted area and the charging station;
and the calculation module is used for calculating all attracted areas according to the charging station influence field intensity model and analyzing to obtain the service ranges of all charging stations.
8. A computer arrangement comprising a memory storing a computer program and a processor implementing the steps of the method according to any of claims 1-6 when the processor executes the computer program.
9. A computer storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps of the method of any one of claims 1-6.
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