Charging pile layout planning method and system based on demand analysis

Abstract

The invention relates to a charging pile layout planning method and system based on demand analysis, and relates to the technical field of charging piles. The method comprises the following steps: determining a to-be-expanded area; determining the longitude and latitude of a charging pile station expansion point according to the position of the area to be expanded; determining the number of queuing vehicles in a crowded period; according to the historical charging information, obtaining the number of frequent charging users and the number of secondary charging users; according to the number of queuing vehicles, the number of frequently-charged users, the number of re-charged users and the historical charging information in the crowded period, calculating the total required charging time in the crowded period; and the number of the charging piles needing to be expanded is calculated according to the total charging duration in the crowding period and the number of the installed charging piles in the area needing to be expanded. According to the method, a to-be-expanded area is obtained through analysis, the total required charging duration in a crowding period is analyzed and determined by combining historical charging information of installed charging piles in the to-be-expanded area, the number of the to-be-expanded charging piles is designed according to the number of the installed charging piles and actual planning requirements, and the expansion points of the charging piles are determined by combining the position of the to-be-expanded area.

Description

Technical Field

[0001] The present invention relates to the technical field of charging piles, and particularly to a method and system for planning the layout of charging piles based on demand analysis. Background Art

[0002] As one of the main development directions of new energy vehicles, electric vehicles have received increasing attention. Charging piles are an essential supporting infrastructure for electric vehicles. They not only provide the necessary power supply but also improve the charging efficiency and safety through intelligent management.

[0003] With the rapid growth of the new energy vehicle market, the charging demand has increased sharply. A reasonable planning layout can ensure that the number and distribution of charging piles can meet the growing charging demand and avoid the contradiction of "more vehicles than charging piles".

[0004] Generally, the planning layout of charging piles mainly designs the number of additional charging piles for a single charging station or mainly plans the location of the charging station. Summary of the Invention

[0005] Based on this, in view of the above problems, it is necessary to provide a method and system for planning the layout of charging piles based on demand analysis, which can assist in planning the location and the number of additional charging piles.

[0006] A method for planning the layout of charging piles based on demand analysis provided by the present invention includes:

[0007] Determine the area to be expanded according to the monitoring images in the planning area;

[0008] Determine the longitude and latitude of the expansion points of the charging pile stations according to the location of the area to be expanded;

[0009] Determine the number of queuing vehicles during the peak congestion period according to the monitoring images of the area to be expanded;

[0010] Collect the historical charging information of the installed charging piles in the area to be expanded;

[0011] Obtain the number of regular charging users and the number of occasional charging users according to the historical charging information;

[0012] Calculate the total charging duration required during the peak congestion period according to the number of queuing vehicles during the peak congestion period, the number of regular charging users, the number of occasional charging users, and the historical charging information;

[0013] Calculate the number of additional charging piles required according to the total charging duration required during the peak congestion period and the number of installed charging piles in the area to be expanded.

[0014] In one embodiment, the step of determining the area to be expanded according to the monitoring images in the planning area includes:

[0015] Identify the surveillance images within the planned area to obtain an initial set of crowded images;

[0016] Based on the queuing duration in the initial set of crowded images, determine whether there is a queue. If the queuing duration does not exceed 5 minutes, it is determined that there is no queue. If the queuing duration exceeds 5 minutes, it is determined that there is a queue, and the initial crowded images with a queuing duration exceeding 5 minutes are defined as target crowded images;

[0017] Determine the charging station area corresponding to the target crowded images as the area to be expanded.

[0018] In one embodiment, the steps of determining the longitude and latitude of the charging pile station expansion points based on the location of the area to be expanded include:

[0019] Collect the longitude and latitude of the area to be expanded and convert the geographical coordinate longitude and latitude into coordinates in a plane coordinate system;

[0020] In the plane coordinate system, draw the boundaries of each area based on the converted coordinates;

[0021] Connect adjacent areas with lines to divide into multiple sub-areas;

[0022] For each sub-area, calculate the plane coordinates of its center point;

[0023] Convert the plane coordinates of the center point of each sub-area back to longitude and latitude to obtain multiple sets of longitude and latitude of the charging pile station expansion points.

[0024] In one embodiment, the steps of determining the number of queuing vehicles during crowded periods based on the surveillance images of the area to be expanded include:

[0025] Based on the target crowded images, identify the number of queuing vehicles during crowded periods.

[0026] In one embodiment, the historical charging information includes the charging pile station, charging pile serial number, historical charging start time, historical charging end time, historical charging power, total charging times, and average charging time interval days.

[0027] In one embodiment, the steps of obtaining the number of regular charging users and occasional charging users based on the historical charging information include:

[0028] Divide users into regular charging users and occasional charging users according to the total charging times;

[0029] Determine users with a total charging times greater than 1 as users to be classified, and determine whether the users to be classified are regular charging users or occasional charging users according to the average charging time interval days;

[0030] Determine users with a total charging count of 1 as first-time charging users.

[0031] In one embodiment, for users with a total charging count greater than 1, determine them as users to be classified, and the steps of determining whether the users to be classified are regular charging users or first-time charging users based on the average number of days between charging intervals include:

[0032] If the average number of days between charging intervals ≥ 20 days, then determine as first-time charging users;

[0033] If the average number of days between charging intervals < 20 days, then determine as regular charging users.

[0034] In one embodiment, the steps of calculating the total charging duration required during the crowded period based on the number of queuing vehicles during the crowded period, the number of regular charging users, the number of first-time charging users, and historical charging information include:

[0035] According to the calculation formula Obtain the total charging duration required during the crowded period, where HK is the total charging duration required during the crowded period, P is the number of queuing vehicles during the crowded period, VC is the number of regular charging users, Vj is the number of first-time charging users, is the average charging duration of regular charging users, is the average charging duration of first-time charging users.

[0036] In one embodiment, the steps of calculating the number of charging piles to be expanded based on the total charging duration required during the crowded period and the number of installed charging piles in the area to be expanded include:

[0037] According to the calculation formula Calculate, where HK is the total charging duration required during the crowded period, K is the demand coefficient, I is the number of installed charging piles, M is the number of charging piles to be expanded, N is the number of charging ports of a single charging pile, VC is the number of regular charging users, Vj is the number of first-time charging users, is the average charging duration of regular charging users, is the average charging duration of first-time charging users.

[0038] The present invention also provides a charging pile layout planning system based on demand analysis, and the system includes:

[0039] An identification module, used to determine the area to be expanded according to the monitoring images in the planned area;

[0040] A coordinate conversion module, used to determine the longitude and latitude of the charging pile station expansion point according to the location of the area to be expanded;

[0041] An analysis module, used to determine the number of queuing vehicles during the crowded period according to the monitoring images of the area to be expanded;

[0042] The acquisition module is used to acquire the historical charging information of the charging piles in the area to be expanded;

[0043] The statistics module is used to obtain the number of regular charging users and the number of occasional charging users according to the historical charging information;

[0044] The first operation module is used to calculate the total required charging duration during the congested period according to the number of queuing vehicles during the congested period, the number of regular charging users, the number of occasional charging users, and the historical charging information;

[0045] The second operation module is used to calculate the number of charging piles to be expanded according to the total required charging duration during the congested period and the number of installed charging piles in the area to be expanded.

[0046] The above charging pile layout planning method and system based on demand analysis analyze the image of the planning area to obtain the more congested area to be expanded, divide users into regular charging users and occasional charging users, combine the historical charging information of the installed charging piles in the area to be expanded, analyze and determine the total required charging duration during the congested period, and then design the number of charging piles to be expanded according to the number of installed charging piles and the actual planning requirements. At the same time, the expansion points of the charging piles are determined in combination with the location of the area to be expanded. Description of the Drawings

[0047] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0048] Figure 1 It is a flowchart of the charging pile layout planning method based on demand analysis proposed by the present invention;

[0049] Figure 2 It is a schematic structural diagram of the charging pile layout planning system based on demand analysis proposed by the present invention. Detailed Embodiments

[0050] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0051] Regarding the above problems, the following will be combined with Figure 1 - Figure 2Describe a method and system for planning the layout of charging piles based on demand analysis of the present invention.

[0052] As Figure 1 shown, in one embodiment, a method for planning the layout of charging piles based on demand analysis includes:

[0053] Step S100, determine the area to be expanded according to the monitoring images within the planned area.

[0054] Specifically, determine the preset planned area by means of on-site investigation according to the surrounding traffic conditions and the number of electric vehicles.

[0055] Step S200, determine the longitude and latitude of the expansion points of the charging pile stations according to the location of the area to be expanded.

[0056] Step S300, determine the number of queuing vehicles during the peak congestion period according to the monitoring images of the area to be expanded.

[0057] Step S400, collect the historical charging information of the installed charging piles within the area to be expanded.

[0058] Specifically, obtain the statistical data and analysis reports of the installed electric vehicle charging stations within the area to be expanded through reasonable and legal means.

[0059] Step S500, obtain the number of regular charging users and the number of occasional charging users according to the historical charging information.

[0060] Specifically, the regular charging users are those who charge multiple times in a short period, and the occasional charging users are those who pass by occasionally to charge.

[0061] Step S600, calculate the total required charging duration during the peak congestion period according to the number of queuing vehicles during the peak congestion period, the number of regular charging users, the number of occasional charging users, and the historical charging information.

[0062] Step S700, calculate the number of charging piles to be expanded according to the total required charging duration during the peak congestion period and the number of installed charging piles within the area to be expanded.

[0063] Specifically, first determine the planned area through on-site investigation, then retrieve the monitoring images of the planned area through reasonable means, identify the area to be expanded according to the monitoring images, then set the central position of the area to be expanded as the expansion point of the charging pile station, and thus obtain the longitude and latitude of the expansion point of the charging pile station.

[0064] Identify the number of queuing vehicles during peak congestion periods based on the surveillance images of the area to be expanded, collect the historical charging information of the installed charging piles in the area to be expanded, and then calculate the number of regular charging users and occasional charging users based on the historical charging information, as well as the average charging duration of individual regular charging users and the average charging duration of individual occasional charging users. Then calculate the total charging duration required during peak congestion periods.

[0065] Finally, design the number of charging piles to be expanded in combination with the number of installed charging piles in the area to be expanded and the actual planning requirements.

[0066] In one embodiment, the steps of determining the area to be expanded based on the surveillance images in the planned area include:

[0067] Step S110: Identify the surveillance images in the planned area to obtain an initial set of congested images.

[0068] Step S120: Based on the queuing status duration in the initial set of congested images, determine whether there is a queue. If the queuing status duration does not exceed 5 minutes, it is determined that there is no queue. If the queuing status duration exceeds 5 minutes, it is determined that there is a queue, and the initial congested images with a queuing status duration exceeding 5 minutes are defined as target congested images.

[0069] Step S130: Determine the charging station area corresponding to the target congested images as the area to be expanded.

[0070] Specifically, use the high-definition surveillance cameras installed in the charging stations to obtain the surveillance images of each charging station in the planned area in real time, denoise the obtained surveillance images to improve the image quality, and use a vehicle detection algorithm to identify the vehicles in the queuing state. The vehicle detection algorithm is trained using multiple sets of vehicle queuing image sets based on a deep learning model.

[0071] And in combination with a multi-object tracking algorithm, continuously track the detected vehicles in the queuing state, and determine whether the vehicle is in the queuing state based on whether the relative positions of two groups of vehicles in the queuing state change within five minutes (including 5 minutes). When the relative positions of two groups of vehicles in the queuing state change within five minutes (including 5 minutes), it is determined that the vehicle is not in the queuing state. When it is determined that the relative positions of two groups of vehicles in the queuing state do not change within five minutes (including 5 minutes), it is determined that the vehicle is in the queuing state.

[0072] In one embodiment, the steps of determining the longitude and latitude of the charging pile station expansion point based on the location of the area to be expanded include:

[0073] Step S210: Collect the longitude and latitude of the area to be expanded and convert the geographical coordinate longitude and latitude into coordinates in a plane coordinate system.

[0074] Step S220: In the plane coordinate system, draw the boundaries of each region according to the converted coordinates.

[0075] Step S230: Connect adjacent regions with lines to divide into multiple sub-regions.

[0076] Step S240: For each sub-region, calculate the plane coordinates of its center point.

[0077] Step S250: Convert the plane coordinates of the center point of each sub-region back to longitude and latitude to obtain the longitude and latitude of multiple sets of charging pile station expansion points.

[0078] Specifically, use GIS software to convert longitude and latitude into plane coordinates. On the plane coordinate system, connect each point as needed to form a closed region. For each divided region, the geometric center method can be used to calculate the average value of the x coordinates and y coordinates of all points in the region as the x and y coordinates of the center, and then use GIS software to convert the plane coordinates of the center point back to longitude and latitude coordinates.

[0079] And when determining the location of the added charging piles according to the longitude and latitude of the charging pile station expansion points, give priority to radiating around the charging pile station expansion points and select existing parking lots to install charging piles. And it is necessary to consider the driving distance from the parking lot to the already installed charging piles, and try to minimize the total driving distance from the selected parking lot to the nearby already installed charging piles, so as to facilitate users to change to a neighboring charging station for charging when they arrive at a charging station and find that the charging ports are full.

[0080] In this embodiment, the steps of determining the number of queuing vehicles during the crowded period according to the monitoring images of the area to be expanded include:

[0081] Step S310: Identify the number of queuing vehicles during the crowded period according to the target crowded image.

[0082] Specifically, according to the vehicles in the target crowded image, count the number of queuing vehicles [P1, P2, P3......P n during the crowded period every day, and according to the calculation formula where P is the number of queuing vehicles during the crowded period, n is the number of statistical days, and i is the i-th day.

[0083] In one embodiment, the historical charging information includes the charging pile station, the charging pile serial number, the historical charging start time, the historical charging end time, the historical charging power, the total number of charging times, and the average number of days between charging intervals.

[0084] In this embodiment, the steps of obtaining the number of regular charging users and the number of occasional charging users according to the historical charging information include:

[0085] Step S510: Classify users into frequent chargers and infrequent chargers according to the total number of charging times.

[0086] Step S520: Determine users with a total number of charging times greater than 1 as users to be classified, and determine whether the users to be classified are frequent chargers or infrequent chargers according to the average number of days between charging times.

[0087] Step S530: Determine users with a total number of charging times of 1 as infrequent chargers.

[0088] In this embodiment, the step of determining users with a total number of charging times greater than 1 as users to be classified, and determining whether the users to be classified are frequent chargers or infrequent chargers according to the average number of days between charging times includes:

[0089] Step S522: If the average number of days between charging times ≥ 20 days, then determine as an infrequent charger.

[0090] Step S524: If the average number of days between charging times < 20 days, then determine as a frequent charger.

[0091] In one embodiment, the step of calculating the total required charging duration during peak congestion periods based on the number of queuing vehicles during peak congestion periods, the number of frequent chargers, the number of infrequent chargers, and historical charging information further includes:

[0092] According to the calculation formula Obtain the total required charging duration during peak congestion periods, where HK is the total required charging duration during peak congestion periods, P is the number of queuing vehicles during peak congestion periods, VC is the number of frequent chargers, Vj is the number of infrequent chargers, is the average charging duration of frequent chargers, is the average charging duration of infrequent chargers.

[0093] Specifically, according to the historical charging start time and historical charging end time of a single frequent charger, obtain the charging duration value set [hc1, hc2, hc3......hc i of a single frequent charger, and according to the historical charging start time and historical charging end time of a single infrequent charger, obtain the charging duration value set [hj 1、 hj 2、 hj3......hj i of a single infrequent charger.

[0094] According to the calculation formula Calculate the average charging duration of frequent chargers, where, is the average charging duration of frequent chargers, P is the number of queuing vehicles during peak congestion periods, and i is the vehicle serial number. According to the calculation formula Calculate the average charging duration of frequent chargers, where, Let \(T_c\) be the average charging duration of regular charging users, \(P\) be the number of queuing vehicles during the peak congestion period, and \(i\) be the vehicle serial number. The average charging duration of occasional charging users is calculated as follows.

[0095] In this embodiment, the steps of calculating the number of charging piles to be expanded according to the total charging duration required during the peak congestion period and the number of installed charging piles in the area to be expanded include:

[0096] According to the calculation formula Calculate, where \(HK\) is the total charging duration required during the peak congestion period, \(K\) is the demand coefficient, \(I\) is the number of installed charging piles, \(M\) is the number of charging piles to be expanded, \(N\) is the number of charging ports of a single charging pile, \(VC\) is the number of regular charging users, and \(Vj\) is the number of occasional charging users. \(T_c\) is the average charging duration of regular charging users. \(T_j\) is the average charging duration of occasional charging users.

[0097] Specifically, by substituting the designed demand coefficient \(K\) (approximately twice the restaurant turnover rate) into the above calculation formula and combining the known data, the number of charging piles to be expanded is calculated.

[0098] As Figure 2 shown, in one embodiment, the present invention further provides a charging pile layout planning system based on demand analysis. The system includes:

[0099] An identification module 10 for determining the area to be expanded according to the monitoring images within the planned area.

[0100] A coordinate conversion module 20 for determining the longitude and latitude of the charging pile station expansion point according to the location of the area to be expanded.

[0101] An analysis module 30 for determining the number of queuing vehicles during the peak congestion period according to the monitoring images of the area to be expanded.

[0102] A collection module 40 for collecting the historical charging information of the charging piles within the area to be expanded.

[0103] A statistics module 50 for obtaining the number of regular charging users and the number of occasional charging users according to the historical charging information.

[0104] A first operation module 60 for calculating the total charging duration required during the peak congestion period according to the number of queuing vehicles during the peak congestion period, the number of regular charging users, the number of occasional charging users, and the historical charging information.

[0105] A second operation module 70 for calculating the number of charging piles to be expanded according to the total charging duration required during the peak congestion period and the number of installed charging piles in the area to be expanded.

[0106] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0107] The above-described embodiments merely represent several implementation manners of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the appended claims.

Claims

1. A charging pile layout planning method based on demand analysis, characterized in that: The method comprises: Determine the area to be expanded based on the surveillance images within the planning area; Determine the longitude and latitude of the charging station expansion point based on the location of the area to be expanded; Determine the number of vehicles queuing during congestion periods based on surveillance images of the area to be expanded; Collect historical charging information of installed charging piles in the area to be expanded; According to the historical charging information, the number of regular charging users and the number of occasional charging users are obtained; The total charging time required during the congested period is calculated based on the number of vehicles queuing during the congested period, the number of regular charging users, the number of secondary charging users, and historical charging information; The number of charging piles that need to be expanded is calculated based on the total charging time required during congested periods and the number of installed charging piles in the area that needs to be expanded.

2. A charging pile layout planning method based on demand analysis according to claim 1, characterized in that: The steps to determine the area to be expanded based on the surveillance images within the planning area include: Recognize the monitoring images in the planning area and obtain the initial crowded image set; According to the queue state duration in the initial crowding image set, it is judged whether the person is in a queue. If the queue state duration does not exceed 5 minutes, it is judged that the person is not in a queue. If the queue state duration exceeds 5 minutes, it is judged that the person is in a queue. The initial crowding image with a queue state duration of more than 5 minutes is defined as the target crowding image. The charging station area corresponding to the target congestion image is determined as the area to be expanded.

3. A charging pile layout planning method based on demand analysis according to claim 1, characterized in that: The steps of determining the latitude and longitude of the charging pile station extension point according to the location of the area to be expanded include: Collect the longitude and latitude of the area to be expanded, and convert the geographic coordinates into coordinates in the plane coordinate system; In the plane coordinate system, draw the boundary of each region according to the transformed coordinates; Connect adjacent areas with lines to divide them into multiple sub-areas; For each sub-region, calculate the plane coordinates of its center point; The plane coordinates of the center point of each sub-area are converted back to longitude and latitude to obtain the longitude and latitude of multiple groups of charging station extension points.

4. A charging pile layout planning method based on demand analysis according to claim 2, characterized in that: The steps of determining the number of vehicles queuing during a congested period according to the surveillance image of the area to be expanded include: According to the target congestion image, the number of vehicles queuing during the congestion period is identified.

5. The method for planning the layout of charging piles based on demand analysis according to claim 1, characterized in that: The historical charging information includes the charging pile site, charging pile serial number, historical charging start time, historical charging end time, historical charging power, total charging times and average charging time interval in days.

6. A charging pile layout planning method based on demand analysis according to claim 5, characterized in that: The step of obtaining the number of regular charging users and the number of occasional charging users according to the historical charging information comprises: According to the total number of charging times, users are divided into regular charging users and occasional charging users; Users who have charged more than once in total are identified as users to be classified, and the users to be classified are determined as frequent charging users or occasional charging users based on the average number of days between charging intervals; Users who have charged once in total are identified as secondary charging users.

7. A method for planning the layout of charging piles based on demand analysis according to claim 6, characterized in that: The step of determining a user whose total charging times is greater than 1 as a user to be classified, and determining the user to be classified as a frequent charging user or a secondary charging user according to the average number of days between charging times, comprises: If the average charging interval is ≥ 20 days, the user is considered to be a substandard charger; If the average charging interval is less than 20 days, the user is considered to be a frequent charger.

8. The method for planning the layout of charging piles based on demand analysis according to claim 1, characterized in that: The steps of calculating the total required charging time during the congested period according to the number of vehicles queuing during the congested period, the number of regular charging users, the number of secondary charging users, and historical charging information include: According to the calculation formula The total required charging time during congested periods is obtained, where HK is the total required charging time during congested periods, P is the number of vehicles queuing during congested periods, VC is the number of regular charging users, Vj is the number of secondary charging users, hc is the average charging time for regular charging users, and hj is the average charging time for secondary charging users.

9. A method for planning the layout of charging piles based on demand analysis according to claim 8, characterized in that: The steps of calculating the number of charging piles to be expanded according to the total required charging time during the congested period and the number of installed charging piles in the area to be expanded include: According to the calculation formula Calculation, where HK is the total charging time required during congestion, K is the demand coefficient, I is the number of installed charging piles, M is the number of charging piles that need to be expanded, N is the number of charging ports of a single charging pile, VC is the number of regular charging users, and Vj is the number of secondary charging users. The average charging time for frequent charging users. The average charging time for secondary charging users.

10. A charging pile layout planning system based on demand analysis, applied to a charging pile layout planning method based on demand analysis according to any one of claims 1 to 9, characterized in that: The system comprises: The recognition module is used to determine the area to be expanded based on the monitoring images in the planning area; A coordinate conversion module is used to determine the longitude and latitude of the charging station extension point according to the location of the area to be expanded; An analysis module is used to determine the number of vehicles queuing during a congested period based on surveillance images of the area to be expanded; A collection module, used to collect historical charging information of charging piles in the area to be expanded; A statistics module is used to obtain the number of regular charging users and the number of occasional charging users based on historical charging information; The first calculation module is used to calculate the total required charging time during the congested period according to the number of vehicles queuing during the congested period, the number of regular charging users, the number of secondary charging users, and historical charging information; The second operation module is used to calculate the number of charging piles that need to be expanded according to the total charging time required during the congested period and the number of installed charging piles in the area to be expanded.

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