Electric vehicle charging pile arrangement method and system

Abstract

The invention discloses an electric vehicle charging pile arrangement method and system, and relates to the technical field of charging pile operation. The method comprises the following steps: demand initiation and statistics; demand research and judgment; analyzing candidate positions; performing quantity analysis; and arranging the electric piles. The electric vehicle charging pile arrangement system corresponds to the method. According to the method, the arrangement strategy of the charging piles is analyzed on the basis of the charging pile arrangement requirement initiated by the user in combination with the actual electric vehicle ownership, the arrangement positions and number of the charging piles are matched with the actual use requirement of the user to the maximum extent, then the arrangement reasonability of the charging piles is ensured, and the arrangement efficiency is improved on the premise that the arrangement cost is reduced. And the use experience of the user is improved.

Description

A method and system for arranging electric vehicle charging piles Technical Field

[0001] This application relates to the field of charging pile operation technology, specifically a method and system for deploying electric vehicle charging piles. Background Technology

[0002] Currently, more and more people are buying new energy vehicles, most of which are electric vehicles. However, when the vehicle's battery power is insufficient, it needs to be charged. However, among the complaints from users about electric vehicles, the difficulty of charging is a prominent issue; many users cannot find available charging stations in their areas. However, deploying charging stations on a large scale would require excessive upfront investment given the current trend in automotive development. Therefore, it is necessary to rationally deploy charging stations for electric vehicles based on actual needs. Summary of the Invention

[0003] The purpose of this application is to provide a method and system for arranging electric vehicle charging piles to solve the technical problems mentioned in the background art.

[0004] To achieve the above objectives, this application discloses the following technical solutions:

[0005] In a first aspect, this application discloses a method for arranging electric vehicle charging piles, the method comprising the following steps:

[0006] Demand Initiation and Statistics: Users initiate charging pile deployment requests, which include installation location and usage time. The operations backend compiles all deployment requests and performs installation zone statistics according to installation location.

[0007] Demand assessment: Based on the installation locations in the installation zoning statistics, the regions are divided, and the number of electric vehicle users in each region is statistically analyzed on-site. When the number of users in a region is greater than the user deployment threshold, the region is defined as a candidate region.

[0008] Candidate location analysis: Examine and screen the operating addresses in the candidate areas to obtain at least one candidate location;

[0009] Quantitative analysis: The number of charging piles deployed is analyzed based on the number of users and usage time in the candidate areas;

[0010] Charging pile layout: Establish charging stations in the corresponding candidate areas, and install charging piles in the charging stations according to the number of charging piles obtained from the analysis.

[0011] Preferably, the region division specifically includes:

[0012] Information is collected about the area surrounding the installation location in the installation zone statistics to obtain the number of existing charging stations and charging piles;

[0013] Obtain the pressure coefficient (FAC) corresponding to existing charging stations. Among them, avgNUM need NUM is the average daily charging demand in the vicinity of the installation location. provide The number of charging piles provided for existing charging stations;

[0014] When FAC < FAC min When this happens, the deployment request in that area is discarded, and the location information of existing charging stations is fed back to the user who initiated the deployment request;

[0015] When FAC > FAC max At that time, FAC max ≥FAC min FAC max and FAC min All are preset pressure coefficient thresholds. The installation location is taken as a radiation point in a region. With the radiation point as the center, the operation range circle is gradually enlarged on the city map according to the rule of proportional enlargement. When the total number of installation locations in the operation range circle reaches the preset deployment condition threshold, the geographical area corresponding to the operation range circle is taken as a divided region.

[0016] Preferably, the process of examining and screening the operating addresses in the candidate area to obtain at least one candidate location specifically includes:

[0017] A commercial survey was conducted on the installable locations in the candidate areas to select several candidate locations;

[0018] Perform a location analysis on the layout requirements in the candidate areas to obtain the center point of all installation locations;

[0019] Calculate the practical coefficient (COE) between each candidate location and the center point. j =K1*L+K2*T+K3*P, where COE j K1 is the practical coefficient corresponding to the candidate location j, L is the straight-line distance between the candidate location j and the center point, K2 is the time weight value, T is the average time required for the situation between the candidate location j and the center point, K3 is the traffic pressure weight value, and P is the traffic pressure between the candidate location j and the center point. The traffic pressure is obtained through big data or local road traffic pressure provided by the traffic management department.

[0020] Select the candidate position with the highest practical coefficient as the candidate position.

[0021] Preferably, when the number of candidate locations with the highest utility coefficient is greater than or equal to 2, each candidate location is defined as an available location, and a radial circle is drawn with each available location as its center. Analysis is then performed to determine if the number of users within the radial circle corresponding to each available location reaches a preset radiation threshold (Thr). user The diameter of the radiation circle at that time is selected as the candidate position, with the smallest diameter of the radiation circle being chosen.

[0022] Preferably, the analysis of the number of charging piles to be deployed based on the number of users and usage time in the candidate areas specifically includes:

[0023] Get the number of users in the candidate region Q user ;

[0024] Count the number of users whose usage time falls within the same time interval, and extract the number of users Q corresponding to the time interval with the largest number of users. t-user ;

[0025] Obtain the number M of charging piles deployed. Where η is a preset calculation ratio, and, The larger the result, the smaller the value of η. This indicates rounding up to the nearest integer.

[0026] Secondly, this application discloses an electric vehicle charging pile deployment system, including a user terminal and an operation backend. The user terminal is configured to allow users to initiate charging pile deployment requests, the deployment requests including installation location and usage time, and to receive messages sent by the operation backend.

[0027] The operation backend configuration includes: statistically analyzing all deployment requirements and performing installation zoning statistics based on installation locations; dividing regions based on the installation locations in the installation zoning statistics and conducting on-site statistics on the number of electric vehicle users in each region, defining the region as a candidate region when the number of users in a region exceeds the user deployment threshold; examining and filtering the operation addresses in the candidate regions to obtain at least one candidate location; analyzing the number of charging piles to be deployed based on the number of users and usage time in the candidate regions; and generating a charging pile deployment plan for the construction party to deploy charging piles, wherein the charging pile deployment plan includes the location of the candidate region and the number of charging piles deployed corresponding to the candidate region.

[0028] Preferably, the region division specifically includes:

[0029] Information is collected about the area surrounding the installation location in the installation zone statistics to obtain the number of existing charging stations and charging piles;

[0030] Obtain the pressure coefficient (FAC) corresponding to existing charging stations. Among them, avgNUM need NUM is the average daily charging demand in the vicinity of the installation location. provide The number of charging piles provided for existing charging stations;

[0031] When FAC < FAC min When this happens, the deployment request in that area is discarded, and the location information of existing charging stations is fed back to the user who initiated the deployment request;

[0032] When FAC > FAC max At that time, FAC max ≥FAC min FAC max and FAC min All are preset pressure coefficient thresholds. The installation location is taken as a radiation point in a region. With the radiation point as the center, the operation range circle is gradually enlarged on the city map according to the rule of proportional enlargement. When the total number of installation locations in the operation range circle reaches the preset deployment condition threshold, the geographical area corresponding to the operation range circle is taken as a divided region.

[0033] Preferably, the process of examining and screening the operating addresses in the candidate area to obtain at least one candidate location specifically includes:

[0034] A commercial survey was conducted on the installable locations in the candidate areas to select several candidate locations;

[0035] Perform a location analysis on the layout requirements in the candidate areas to obtain the center point of all installation locations;

[0036] Calculate the practical coefficient (COE) between each candidate location and the center point. j =K1*L+K2*T+K3*P, where COE j K1 is the practical coefficient corresponding to the candidate location j, L is the straight-line distance between the candidate location j and the center point, K2 is the time weight value, T is the average time required for the situation between the candidate location j and the center point, K3 is the traffic pressure weight value, and P is the traffic pressure between the candidate location j and the center point. The traffic pressure is obtained through big data or local road traffic pressure provided by the traffic management department.

[0037] Select the candidate position with the highest practical coefficient as the candidate position.

[0038] Preferably, when the number of candidate locations with the highest utility coefficient is greater than or equal to 2, each candidate location is defined as an available location, and a radial circle is drawn with each available location as its center. Analysis is then performed to determine if the number of users within the radial circle corresponding to each available location reaches a preset radiation threshold (Thr). user The diameter of the radiation circle at that time is selected as the candidate position, with the smallest diameter of the radiation circle being chosen.

[0039] Preferably, the analysis of the number of charging piles to be deployed based on the number of users and usage time in the candidate areas specifically includes:

[0040] Get the number of users in the candidate region Q user ;

[0041] Count the number of users whose usage time falls within the same time interval, and extract the number of users Q corresponding to the time interval with the largest number of users. t-user ;

[0042] Obtain the number M of charging piles deployed. Where η is a preset calculation ratio, and, The larger the result, the smaller the value of η. This indicates rounding up to the nearest integer.

[0043] Beneficial effects: The electric vehicle charging pile deployment method and system of this application analyze the deployment strategy of charging piles based on the user-initiated charging pile deployment requirements and the actual number of electric vehicles, so as to match the deployment location and number of charging piles with the actual usage needs of users to the greatest extent, thereby ensuring the rationality of the charging pile deployment and improving the user experience while reducing deployment costs. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 is a flowchart of the electric vehicle charging pile layout method provided in the embodiment of this application. Detailed Implementation

[0046] The technical solutions in the embodiments of this application will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0047] In this document, the term "comprising" is intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0048] In a first aspect, this embodiment discloses a method for arranging electric vehicle charging piles as shown in FIG1, the method comprising the following steps:

[0049] Demand Initiation and Statistics: Users initiate charging pile deployment requests, which include installation location and usage time. The operations backend compiles all deployment requests and performs installation zone statistics according to installation location.

[0050] Demand assessment: Based on the installation locations in the installation zoning statistics, the regions are divided, and the number of electric vehicle users in each region is statistically analyzed on-site. When the number of users in a region is greater than the user deployment threshold, the region is defined as a candidate region.

[0051] Candidate location analysis: Examine and screen the operating addresses in the candidate areas to obtain at least one candidate location;

[0052] Quantitative analysis: The number of charging piles deployed is analyzed based on the number of users and usage time in the candidate areas;

[0053] Charging pile layout: Establish charging stations in the corresponding candidate areas, and install charging piles in the charging stations according to the number of charging piles obtained from the analysis.

[0054] Based on the above, the electric vehicle charging pile deployment method of this embodiment analyzes the deployment strategy of charging piles based on the user-initiated charging pile deployment requirements and the actual number of electric vehicles, so as to match the deployment location and number of charging piles with the actual usage needs of users to the greatest extent, thereby ensuring the rationality of the charging pile deployment and improving the user experience while reducing deployment costs.

[0055] In this embodiment, the region division specifically includes:

[0056] Information is collected about the area surrounding the installation location in the installation zone statistics to obtain the number of existing charging stations and charging piles;

[0057] Obtain the pressure coefficient (FAC) corresponding to existing charging stations. Among them, avgNUMneed NUM is the average daily charging demand in the vicinity of the installation location. provide The number of charging piles provided for existing charging stations;

[0058] When FAC < FAC min When this happens, the deployment request in that area is discarded, and the location information of existing charging stations is fed back to the user who initiated the deployment request;

[0059] When FAC > FAC max At that time, FAC max ≥FAC min FAC max and FAC min All are preset pressure coefficient thresholds. The installation location is taken as a radiation point in a region. With the radiation point as the center, the operation range circle is gradually enlarged on the city map according to the rule of proportional enlargement. When the total number of installation locations in the operation range circle reaches the preset deployment condition threshold, the geographical area corresponding to the operation range circle is taken as a divided region.

[0060] Furthermore, the electric vehicle charging pile layout method in this embodiment, based on the number of existing charging stations and charging piles around the installation location, and taking into account the charging pile layout requirements initiated by users, realizes the actual consideration of users' layout requirements, understands the rationality of the layout requirements, and further verifies the authenticity of the layout requirements, thereby ensuring the rationality of the charging pile layout process.

[0061] In this embodiment, the process of examining and filtering the operating addresses in the candidate area to obtain at least one candidate location specifically includes:

[0062] A commercial survey was conducted on the installable locations in the candidate areas to select several candidate locations;

[0063] Perform a location analysis on the layout requirements in the candidate areas to obtain the center point of all installation locations;

[0064] Calculate the practical coefficient (COE) between each candidate location and the center point. j =K1*L+K2*T+K3*P, where COE j K1 is the practical coefficient corresponding to the candidate location j, L is the straight-line distance between the candidate location j and the center point, K2 is the time weight value, T is the average time required for the situation between the candidate location j and the center point, K3 is the traffic pressure weight value, and P is the traffic pressure between the candidate location j and the center point. The traffic pressure is obtained through big data or local road traffic pressure provided by the traffic management department.

[0065] Select the candidate position with the highest practical coefficient as the candidate position.

[0066] Furthermore, this embodiment analyzes the relationship between the candidate locations and the center point to make the obtained candidate locations more reasonable, so as to match the charging pile layout needs of more users and thus improve the rationality of the charging pile layout.

[0067] Specifically, when the number of candidate locations with the highest utility coefficient is greater than or equal to 2, each candidate location is defined as an available location, and a radial circle is drawn with each available location as its center. Analysis is then performed to determine if the number of users within the radial circle corresponding to each available location reaches a preset radiation threshold (Thr). user The diameter of the radiation circle at that time is selected, and the one with the smallest radiation circle diameter is chosen as the candidate position. The advantage of this setting is that the selection of candidate positions can be accurately achieved through the design of the radiation circle.

[0068] In this embodiment, the analysis of the number of charging piles to be deployed based on the number of users and usage time in the candidate areas specifically includes:

[0069] Get the number of users in the candidate region Q user ;

[0070] Count the number of users whose usage time falls within the same time interval, and extract the number of users Q corresponding to the time interval with the largest number of users. t-user ;

[0071] Obtain the number M of charging piles deployed. Where η is a preset calculation ratio, and, The larger the result, the smaller the value of η. This indicates rounding up to the nearest integer.

[0072] Furthermore, by obtaining the number of charging piles through the content disclosed in this embodiment, the number of charging piles can be matched with the actual charging needs of users (not limited to usage time periods), thereby accurately determining the number of charging piles to be deployed and controlling costs.

[0073] Secondly, this embodiment discloses an electric vehicle charging pile deployment system, including a user terminal and an operation backend.

[0074] The user terminal is configured to allow users to initiate charging pile deployment requests, which include installation location and usage time, as well as receive messages sent by the operation backend.

[0075] The operation backend configuration includes: statistically analyzing all deployment requirements and performing installation zoning statistics based on installation locations; dividing regions based on the installation locations in the installation zoning statistics and conducting on-site statistics on the number of electric vehicle users in each region, defining the region as a candidate region when the number of users in a region exceeds the user deployment threshold; examining and filtering the operation addresses in the candidate regions to obtain at least one candidate location; analyzing the number of charging piles to be deployed based on the number of users and usage time in the candidate regions; and generating a charging pile deployment plan for the construction party to deploy charging piles, wherein the charging pile deployment plan includes the location of the candidate region and the number of charging piles deployed corresponding to the candidate region.

[0076] Specifically, the aforementioned regional division includes:

[0077] Information is collected about the area surrounding the installation location in the installation zone statistics to obtain the number of existing charging stations and charging piles;

[0078] Obtain the pressure coefficient (FAC) corresponding to existing charging stations. Among them, avgNUM need NUM is the average daily charging demand in the vicinity of the installation location. provide The number of charging piles provided for existing charging stations;

[0079] When FAC < FAC min When this happens, the deployment request in that area is discarded, and the location information of existing charging stations is fed back to the user who initiated the deployment request;

[0080] When FAC > FAC max At that time, FAC max ≥FAC min FAC max and FAC min All are preset pressure coefficient thresholds. The installation location is taken as a radiation point in a region. With the radiation point as the center, the operation range circle is gradually enlarged on the city map according to the rule of proportional enlargement. When the total number of installation locations in the operation range circle reaches the preset deployment condition threshold, the geographical area corresponding to the operation range circle is taken as a divided region.

[0081] Specifically, the process of examining and filtering the operational addresses in the candidate areas to obtain at least one candidate location includes:

[0082] A commercial survey was conducted on the installable locations in the candidate areas to select several candidate locations;

[0083] Perform a location analysis on the layout requirements in the candidate areas to obtain the center point of all installation locations;

[0084] Calculate the practical coefficient (COE) between each candidate location and the center point. j =K1*L+K2*T+K3*P, where COE j K1 is the practical coefficient corresponding to the candidate location j, L is the straight-line distance between the candidate location j and the center point, K2 is the time weight value, T is the average time required for the situation between the candidate location j and the center point, K3 is the traffic pressure weight value, and P is the traffic pressure between the candidate location j and the center point. The traffic pressure is obtained through big data or local road traffic pressure provided by the traffic management department.

[0085] Select the candidate position with the highest practical coefficient as the candidate position.

[0086] Specifically, when the number of candidate locations with the highest utility coefficient is greater than or equal to 2, each candidate location is defined as an available location, and a radial circle is drawn with each available location as its center. Analysis is performed to determine if the number of users within the radial circle corresponding to each available location reaches a preset radiation threshold (Thr). user The diameter of the radiation circle at that time is selected as the candidate position, with the smallest diameter of the radiation circle being chosen.

[0087] Specifically, the analysis of the number of charging piles to be deployed based on the number of users and usage time in the candidate areas includes:

[0088] Get the number of users in the candidate region Q user ;

[0089] Count the number of users whose usage time falls within the same time interval, and extract the number of users Q corresponding to the time interval with the largest number of users. t-user ;

[0090] Obtain the number M of charging piles deployed. Where η is a preset calculation ratio, and, The larger the result, the smaller the value of η. Indicates rounding up

[0091] It should be noted that the electric vehicle charging pile layout system disclosed in this embodiment corresponds to the aforementioned electric vehicle charging pile layout method. Therefore, the technical effects of the electric vehicle charging pile layout system in this embodiment correspond to the aforementioned electric vehicle charging pile layout method, and will not be repeated here.

[0092] In this embodiment, for software implementation, some or all of the processes of the embodiment can be implemented by a computer program instructing related hardware. During implementation, the program can be stored in a computer-readable storage medium or transmitted as one or more instructions or code on a computer-readable storage medium. Specifically, the computer-readable storage medium includes computer storage media and communication media, wherein the communication medium includes any medium that facilitates the transmission of a computer program from one place to another. The storage medium can be any available medium that a computer can access. Computer-readable storage media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code having the form of instructions or data structures and accessible by a computer.

[0093] Finally, it should be noted that the above description is only a preferred embodiment of this application and is not intended to limit this application. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for arranging electric vehicle charging piles, characterized in that, The method includes the following steps: Demand Initiation and Statistics: Users initiate charging pile deployment requests, which include installation location and usage time. The operation backend statistics all deployment requests and performs installation zoning statistics according to installation location; Demand Analysis: Based on the installation locations in the installation zoning statistics, regions are divided, and the number of electric vehicle users in each region is statistically analyzed on-site. When the number of users in a region exceeds the user deployment threshold, the region is defined as a candidate region; Candidate Location Analysis: The operation addresses in the candidate regions are examined and screened to obtain at least one candidate location; Quantity Analysis: The number of charging piles to be deployed is analyzed according to the number of users and usage time in the candidate regions; Charging Pile Deployment: Charging stations are established in the corresponding candidate regions, and charging piles are installed in the charging stations according to the number of charging piles obtained from the analysis.

2. The electric vehicle charging pile layout method according to claim 1, characterized in that, The aforementioned area division specifically includes: collecting information on the vicinity of the installation location in the installation zoning statistics to obtain the number of existing charging stations and charging piles; and obtaining the pressure coefficient (FAC) corresponding to the existing charging stations. Among them, avgNUM need NUM is the average daily charging demand in the vicinity of the installation location. provide The number of charging piles provided by existing charging stations; when FAC < FAC min When the FAC > FAC, the deployment request in that area is discarded, and the location information of existing charging stations is fed back to the user who initiated the deployment request; max At that time, FAC max ≥FAC min FAC max and FAC min All are preset pressure coefficient thresholds. The installation location is taken as a radiation point in a region. With the radiation point as the center, the operation range circle is gradually enlarged on the city map according to the rule of proportional enlargement. When the total number of installation locations in the operation range circle reaches the preset deployment condition threshold, the geographical area corresponding to the operation range circle is taken as a divided region.

3. The electric vehicle charging pile layout method according to claim 1, characterized in that, The process of examining and screening operational addresses in the candidate areas to obtain at least one candidate location specifically includes: conducting a commercial survey of installable locations in the candidate areas to select several potential locations; performing a location analysis of the layout requirements in the candidate areas to obtain the center point of all installation locations; and calculating the utilization coefficient (COE) between each potential location and the center point. j =K1*L+K2*T+K3*P, where COE j K1 is the practical coefficient corresponding to the candidate location j, L is the straight-line distance between the candidate location j and the center point, K2 is the time weight value, T is the average time required for the situation between the candidate location j and the center point, K3 is the traffic pressure weight value, and P is the traffic pressure between the candidate location j and the center point, which is obtained through big data or local road traffic pressure provided by the traffic management department; the candidate location with the largest practical coefficient is selected as the candidate location.

4. The electric vehicle charging pile layout method according to claim 3, characterized in that, When the number of candidate locations with the highest utility coefficient is greater than or equal to 2, each candidate location is defined as an available location, and a radial circle is drawn with each available location as its center. Analysis is performed to determine if the number of users within the radial circle corresponding to each available location reaches a preset radiation threshold (Thr). user The diameter of the radiation circle at that time is selected as the candidate position, with the smallest diameter of the radiation circle being chosen.

5. The method for arranging electric vehicle charging piles according to claim 1, characterized in that, The analysis of the number of charging piles to be deployed based on the number of users and usage time in the candidate areas specifically includes: obtaining the number of users Q in the candidate areas. user Count the number of users whose usage time falls within the same time interval, and extract the number of users Q corresponding to the time interval with the largest number of users. t-user ; Obtain the number M of charging piles deployed. Where η is a preset calculation ratio, and, The larger the result, the smaller the value of η. This indicates rounding up to the nearest integer.

6. An electric vehicle charging pile layout system, characterized in that, It includes a user terminal and an operations backend; the user terminal is configured to allow users to initiate charging pile deployment requests, which include installation location and usage time, and to receive messages sent by the operations backend; the operations backend is configured to collect all deployment requests and perform installation zone statistics according to installation location. Based on the installation location in the installation partition statistics, the area is divided, and the number of electric vehicle users in each area is statistically analyzed on-site. When the number of users in an area is greater than the user deployment threshold, the area is defined as a candidate area. And, examine and screen the operating addresses in the candidate areas to obtain at least one candidate location; And, based on the number of users and usage time in the candidate areas, the number of charging piles to be deployed is analyzed; In addition, a charging pile layout plan is generated for the construction party to arrange the charging piles. The charging pile layout plan includes the location of the candidate area and the number of charging piles to be deployed in the candidate area.

7. The electric vehicle charging pile layout system according to claim 6, characterized in that, The aforementioned area division specifically includes: collecting information on the vicinity of the installation location in the installation zoning statistics to obtain the number of existing charging stations and charging piles; and obtaining the pressure coefficient (FAC) corresponding to the existing charging stations. Among them, avgNUM need NUM is the average daily charging demand in the vicinity of the installation location. provide The number of charging piles provided by existing charging stations; when FAC < FAC min When the FAC > FAC, the deployment request in that area is discarded, and the location information of existing charging stations is fed back to the user who initiated the deployment request; max At that time, FAC max ≥FAC min FAC max and FAC min All are preset pressure coefficient thresholds. The installation location is taken as a radiation point in a region. With the radiation point as the center, the operation range circle is gradually enlarged on the city map according to the rule of proportional enlargement. When the total number of installation locations in the operation range circle reaches the preset deployment condition threshold, the geographical area corresponding to the operation range circle is taken as a divided region.

8. The electric vehicle charging pile layout system according to claim 6, characterized in that, The process of examining and screening operational addresses in the candidate areas to obtain at least one candidate location specifically includes: conducting a commercial survey of installable locations in the candidate areas to select several potential locations; performing a location analysis of the layout requirements in the candidate areas to obtain the center point of all installation locations; and calculating the utilization coefficient (COE) between each potential location and the center point. j =K1*L+K2*T+K3*P, where COE j K1 is the practical coefficient corresponding to the candidate location j, L is the straight-line distance between the candidate location j and the center point, K2 is the time weight value, T is the average time required for the situation between the candidate location j and the center point, K3 is the traffic pressure weight value, and P is the traffic pressure between the candidate location j and the center point, which is obtained through big data or local road traffic pressure provided by the traffic management department; the candidate location with the largest practical coefficient is selected as the candidate location.

9. The electric vehicle charging pile layout system according to claim 8, characterized in that, When the number of candidate locations with the highest utility coefficient is greater than or equal to 2, each candidate location is defined as an available location, and a radial circle is drawn with each available location as its center. Analysis is performed to determine if the number of users within the radial circle corresponding to each available location reaches a preset radiation threshold (Thr). user The diameter of the radiation circle at that time is selected as the candidate position, with the smallest diameter of the radiation circle being chosen.

10. The electric vehicle charging pile layout system according to claim 6, characterized in that, The analysis of the number of charging piles to be deployed based on the number of users and usage time in the candidate areas specifically includes: obtaining the number of users Q in the candidate areas. user Count the number of users whose usage time falls within the same time interval, and extract the number of users Q corresponding to the time interval with the largest number of users. t-user ; Obtain the number M of charging piles deployed. Where η is a preset calculation ratio, and, The larger the result, the smaller the value of η. This indicates rounding up to the nearest integer.

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