A new energy charging pile planning method for smart communities

Abstract

The present invention relates to the field of intelligent site selection technology, and specifically discloses a new energy charging pile planning method for a smart community, comprising the following steps: S1: determine a target road, determine a target point, and connect the target points on the same target road in sequence to obtain a target road section; S2: collect the driving speed of the vehicle when it passes through a speed measurement point during the monitoring period, and calculate the average speed of the vehicle; determine a reference point, determine the speed measurement points adjacent to the reference point, and calculate the speed change rate; generate an average speed set, and count the proportion of convenient speeds in the average speed set; S3: calculate a convenience coefficient, and determine whether to use the initial site selection as the charging pile site selection according to the convenience coefficient. The present invention can determine the traffic convenience of the initial site selection, determine whether to use the initial site selection as the charging pile site selection, and improve the convenience of the charging pile when it is used.

Description

Technical Field

[0001] The present invention relates to the field of intelligent site selection technology, and in particular to a new energy charging pile planning method for a smart community. Background Art

[0002] New energy charging piles are devices used to charge new energy vehicles such as electric vehicles, electric bicycles, and electric buses. They are mainly divided into AC charging piles and DC charging piles. New energy charging piles are an indispensable part of the electric vehicle ecosystem and are of great significance for promoting the popularization of new energy vehicles and reducing carbon emissions.

[0003] In a Chinese patent with the patent announcement number CN118333352A, a charging pile planning method, device, equipment and medium are disclosed. The scheme mainly includes dividing the parking lot into multiple first parking lot partitions through clustering algorithm and the location information of the parking lot, and the first parking lot partition includes multiple parking lots; for each first parking lot partition, considering the location information of the multiple parking lots and the number of parking spaces respectively, a sub-parking point distribution model is constructed; according to the sub-parking point distribution model, the three-dimensional reference center point of each first parking lot partition is determined; information is extracted from the three-dimensional reference center point to obtain the corresponding location center, and the location center is used as the charging pile site selection. Among them, the location center is the horizontal and vertical coordinates (i.e., longitude and latitude) of the three-dimensional reference center point. However, in actual situations, the location center may be located in some locations where transportation is not convenient, such as dead ends in the road network, which will reduce the convenience of users using charging piles for charging. Summary of the invention

[0004] The purpose of the present invention is to provide a new energy charging pile planning method for a smart community to solve the following technical problems:

[0005] The location center may be located in a location with inconvenient transportation, such as a blind spot or complex intersection in the road network, which will reduce the convenience for users to charge using charging piles.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A new energy charging pile planning method for a smart community includes the following steps:

[0008] S1: Determine the location of the charging pile in the first parking lot partition and use it as the initial location, draw a ray starting from the initial location and with an azimuth of A as ray A, and use the first road intersecting with ray A as the target road RoadA, and use the intersection of ray A and target road RoadA as the target point, and repeat the above steps to determine the target points at different azimuths, and connect the target points on the same target road in sequence to obtain the target road section;

[0009] S2: setting a number of speed measuring points at a preset first distance interval on the target road section, collecting the driving speed of the vehicle when passing the speed measuring points within a preset monitoring period, and calculating the average value as the average speed of the vehicle at the speed measuring points;

[0010] Draw a straight line through the initial site and perpendicular to the target section, and use the intersection of the straight line and the target section as the reference point F, determine the previous speed measurement point F-1 adjacent to the reference point F, and determine the next speed measurement point F+1 adjacent to the reference point F, and calculate the speed change rate P=(V F+1 -V F-1 ) / 2L, where VF+1 represents the average speed of the vehicle at the speed measurement point F+1;

[0011] Generate average speed set V jh = (V1, V2, …, V y ), y represents the total number of speed measurement points, when the average speed of the vehicle is greater than or equal to V F , take it as the convenient speed, and count the proportion G of the convenient speed in the average speed set;

[0012] S3: Calculate the convenience coefficient, and determine whether to use the initial site selection as the charging pile site selection based on the convenience coefficient.

[0013] As a further solution of the present invention: in the step S1, the process of setting the monitoring period specifically includes:

[0014] Set m collection cycles, where m is a preset value. Set several time nodes at preset time intervals within the collection cycle, obtain the number of vehicles using the charging pile at time node a and calculate the average value C a , and generate data points (a, C a ), fitting the data points to obtain a curve f(t) showing the number of vehicles using the charging piles over time, and using it as a usage curve;

[0015] Solve f(t) = C' to get the initial time t', C' represents the preset threshold of the number of vehicles using the charging pile, and the average number of vehicles is calculated by the following formula:

[0016] ;

[0017] Among them, t b ' represents the bth initial time, b<n-1, n represents the total number of initial times, when C b，mean ≥C', [t b ',t b+1 '] as the monitoring period.

[0018] As a further solution of the present invention: the process of calculating the average number of vehicles further includes the following steps:

[0019] When the first difference ΔC=|max(f(t))-C b，mean |≥ΔC', remove max(f(t)), t∈[t b ',t b+1 '], ΔC' represents the preset difference threshold, and the average is calculated again, and the above steps are repeated until the first difference ΔC < ΔC';

[0020] When the second difference ΔC=|min(f(t))-C b，mean |≥ΔC', remove min(f(t)), t∈[t b ',t b+1 '], and calculate the average again, and repeat the above steps until the second difference ΔC<ΔC'.

[0021] As a further solution of the present invention: the process of determining the monitoring period also includes the following steps:

[0022] When t b+1 '-t b '≤Δt', [t b ',t b+1 '] as the monitoring period, Δt' represents the preset monitoring period length threshold;

[0023] Draw a straight line through (0, C') and parallel to the x-axis, and use it as a reference line. When the usage curve has a portion overlapping with the reference line, and when the time interval corresponding to the overlapping portion is greater than or equal to Δt', the time interval corresponding to the overlapping portion is used as the monitoring period.

[0024] As a further solution of the present invention: in the step S3, the process of judging whether to use the initial site selection as the charging pile site selection according to the convenience coefficient specifically includes:

[0025] The convenience coefficient is calculated by the formula, which is:

[0026] ;

[0027] η represents a preset correction coefficient, P' represents a preset speed change rate threshold, and D' represents a target distance, which is the average straight-line distance between the initial site and the preset living area;

[0028] Generate convenient coefficient set K jh =(K1,K2,…,Kv),Kv represents the convenience coefficient corresponding to the vth target road segment. When the maximum convenience coefficient Kmax=max(Kjh )≥K', the initial site selection is used as the charging pile address, and K' represents the preset convenience coefficient threshold.

[0029] As a further solution of the present invention: the process of determining the target distance specifically includes:

[0030] Taking the parking lot in the first parking lot partition as the center of the circle, a circle with a preset radius r is drawn to obtain the living area, and the distance d between the initial site and the center of the circle is calculated;

[0031] Calculate the first distance D, when the initial site is within the living area, D=rd; when the initial site is on the boundary of the living area, D=d; when the initial site is outside the living area, D=dr;

[0032] Calculate the average of the first distance D as the living distance D';

[0033] When the area S of the overlapping part of two adjacent living areas B and B' is greater than or equal to S', the minimum circumscribed circle of the living areas B and B' is determined and used as the living area B, and S' represents a preset overlapping area threshold.

[0034] As a further solution of the present invention: when the minimum convenience coefficient Kmin<K', perform the following steps:

[0035] Taking the initial site selection as the center and a preset radius R as the center, a circle is drawn to obtain the site selection area;

[0036] In the site selection area, a plurality of candidate locations are set at a preset second distance interval, and the maximum convenience coefficient of each candidate location is determined, and the maximum value is obtained, and the candidate location corresponding to the maximum value is used as the charging pile site.

[0037] As a further solution of the present invention: in the step S2, during the process of setting the speed measurement points, after setting the cth speed measurement point, when the distance between the cth speed measurement point and the end point of the target section is less than the first distance interval, the distance between the cth speed measurement point and the end point of the target section is no longer used as the target section.

[0038] Beneficial effects of the present invention: In the present invention, first, target points corresponding to different azimuths are determined, and the target points on the same target road are connected as target sections; it is worth noting that when there are multiple roads that can reach the initial position, the user generally chooses the road closest to the initial position, explores roads at different azimuths through geometric methods, and determines all target sections, providing a basis for subsequent analysis of the traffic convenience of the initial site selection; then, a speed measurement point is set on the target section, and the average speed of the vehicle when passing the speed measurement point is determined, which is the basis for subsequent analysis of the traffic convenience of the initial site selection; then, the reference point is determined, and the speed change rate is calculated; it should be noted that if a charging pile is set at the initial position, going from the reference point on the target road to the charging pile can reduce the driving distance and improve efficiency, so the reference point is used as the basis for evaluation; the reason for calculating the speed change rate is: in the process of traveling from the speed measurement point F-1 to the speed measurement point F+1 , the greater the speed change rate, the faster the average speed of the vehicle between the speed measurement point F-1 and the speed measurement point F+1, the faster the average speed, the higher the traffic convenience of the target road; it is worth noting that when the speed measurement point is within the range of the traffic light, only the speed of the vehicle when the green light is obtained is used to calculate the average speed. This is because when the speed measurement point is within the range of the traffic light, the vehicle may start to slow down due to the red light when it travels within the range of the traffic light, reducing the error caused by waiting for the red light. The traffic light range is a rectangular area with the traffic light as the center point, and the specific size can be determined by experience; then the proportion of convenient speed in the average speed set is counted; it can be understood that the higher the proportion of convenient speed, the more the number of speed measurement points with a speed higher than the reference point on the target section, which can reflect that the initial site selection has a lower traffic convenience in the target section than the other positions; finally, the convenience coefficient is calculated, and the convenience coefficient is used to determine whether the initial site selection is used as the charging pile site selection. The present invention can determine the traffic convenience of the initial site selection, determine whether the initial site selection is used as the charging pile site selection, and improve the convenience of the charging pile when it is used. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Figure 1 It is a flow chart of a new energy charging pile planning method for a smart community according to the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] See also Figure 1 As shown, the present invention is a new energy charging pile planning method for a smart community, comprising the following steps:

[0043] S1: Determine the location of the charging pile in the first parking lot partition and use it as the initial location, draw a ray starting from the initial location and with an azimuth of A as ray A, and use the first road intersecting with ray A as the target road RoadA, and use the intersection of ray A and target road RoadA as the target point, and repeat the above steps to determine the target points at different azimuths, and connect the target points on the same target road in sequence to obtain the target road section;

[0044] S2: Draw a straight line through the initial site and perpendicular to the target section, and use the intersection of the straight line and the target section as the reference point F, determine the previous speed measurement point F-1 adjacent to the reference point F, and determine the next speed measurement point F+1 adjacent to the reference point F, and calculate the speed change rate P=(V F+1 -V F-1 ) / 2L, where VF+1 represents the average speed of the vehicle at the speed measurement point F+1;

[0045] Generate average speed set V jh = (V1, V2, …, V y ), y represents the total number of speed measurement points, when the average speed of the vehicle is greater than or equal to V F , take it as the convenient speed, and count the proportion G of the convenient speed in the average speed set;

[0046] S3: Calculate the convenience coefficient, and determine whether to use the initial site selection as the charging pile site selection based on the convenience coefficient.

[0047] It should be noted that first, the target points corresponding to different azimuths are determined, and the target points on the same target road are connected as the target section; it is worth noting that when there are multiple roads that can reach the initial position, the user will generally choose the road closest to the initial position, explore the roads at different azimuths through geometric methods, and determine all the target sections, which provides a basis for the subsequent analysis of the traffic convenience of the initial site selection; then, a speed measurement point is set on the target section, and the average speed of the vehicle when passing the speed measurement point is determined, which is the basis for the subsequent analysis of the traffic convenience of the initial site selection; then, the reference point is determined, and the speed change rate is calculated; it should be noted that if a charging pile is set at the initial position, going from the reference point on the target road to the charging pile can reduce the driving distance and improve efficiency, so the reference point is used as the basis for evaluation; the reason for calculating the speed change rate is: in the process of driving from the speed measurement point F-1 to the speed measurement point F+1, the speed changes The larger the rate, the faster the average speed of vehicles between speed measurement point F-1 and speed measurement point F+1, and the faster the average speed, the higher the traffic convenience of the target road; it is worth noting that when the speed measurement point is within the range of the traffic light, only the speed of the vehicle when the light is green is used to calculate the average speed. This is because when the speed measurement point is within the range of the traffic light, the vehicle may start to slow down due to the red light when it enters the range of the traffic light, reducing the error caused by waiting for the red light. The traffic light range is a rectangular area with the traffic light as the center point, and the specific size can be determined by experience; then the proportion of convenient speed in the average speed set is counted; it can be understood that the higher the proportion of convenient speed, the more speed measurement points on the target section have a speed higher than that on the reference point, which can reflect that the initial site selection has lower traffic convenience in the target section than the other locations; finally, the convenience coefficient is calculated, and the convenience coefficient is used to determine whether the initial site selection is used as the charging pile site selection.

[0048] In another preferred implementation of the present invention, in step S1, the process of setting the monitoring period specifically includes:

[0049] Set m collection cycles, where m is a preset value. Set several time nodes at preset time intervals within the collection cycle, obtain the number of vehicles using the charging pile at time node a and calculate the average value C a , and generate data points (a, C a ), fitting the data points to obtain a curve f(t) showing the number of vehicles using the charging piles over time, and using it as a usage curve;

[0050] Solve f(t) = C' to get the initial time t', C' represents the preset threshold of the number of vehicles using the charging pile, and the average number of vehicles is calculated by the following formula:

[0051] ;

[0052] Among them, t b ' represents the bth initial time, b<n-1, n represents the total number of initial times, when C b，mean ≥C', [t b ',t b+1 '] as the monitoring period.

[0053] It is worth noting that by collecting vehicle number data and fitting it, we can determine the change of the number of vehicles using charging piles over time, understand the user's demand for charging piles at different times, and determine the number of vehicles using charging piles is large (i.e., C b，mean ≥C') and use it as the monitoring period, thereby reducing the amount of data that needs to be processed; the reasons for determining the monitoring period also include: the traffic conditions of the target section at different time periods are not the same. For example, there may be significant differences in traffic flow during rush hour and non-peak hours. By determining the monitoring period, the accuracy of the evaluation can be improved, and data collection can be carried out during high-demand periods to ensure accurate evaluation of the traffic convenience during these key periods.

[0054] In another preferred embodiment of the present invention, the process of calculating the average number of vehicles further includes the following steps:

[0055] When the first difference ΔC=|max(f(t))-C b，mean |≥ΔC', remove max(f(t)), t∈[t b ',t b+1 '], ΔC' represents the preset difference threshold, and the average is calculated again, and the above steps are repeated until the first difference ΔC < ΔC';

[0056] When the second difference ΔC=|min(f(t))-C b，mean |≥ΔC', remove min(f(t)), t∈[t b ',t b+1 '], and calculate the average again, and repeat the above steps until the second difference ΔC<ΔC'.

[0057] It is worth noting that in actual data collection, there may be some abnormal values, such as abnormally high maximum values ​​or abnormally low minimum values. These values ​​may be caused by accidental events, measurement errors or special circumstances in a short period of time. By removing these extreme values, the significant impact of abnormal values ​​on the average value can be avoided, thereby obtaining more accurate representative data; extreme values ​​often introduce noise and affect the results of data analysis. Removing these noisy data helps to improve the quality of the data and make the calculated average value more reflective of actual usage.

[0058] In another preferred implementation of the present invention, the process of determining the monitoring period further includes the following steps:

[0059] When t b+1 '-t b '≤Δt', [t b ',t b+1 '] as the monitoring period, Δt' represents the preset monitoring period length threshold;

[0060] Draw a straight line through (0, C') and parallel to the x-axis, and use it as a reference line. When the usage curve has a portion overlapping with the reference line, and when the time interval corresponding to the overlapping portion is greater than or equal to Δt', the time interval corresponding to the overlapping portion is used as the monitoring period.

[0061] In another preferred implementation of the present invention, in step S3, the process of determining whether to use the initial site selection as the charging pile site selection according to the convenience coefficient specifically includes:

[0062] The convenience coefficient is calculated by the formula, which is:

[0063] ;

[0064] η represents a preset correction coefficient, P' represents a preset speed change rate threshold, and D' represents a target distance, which is the average straight-line distance between the initial site and the preset living area;

[0065] Generate convenient coefficient set K jh =(K1,K2,…,Kv),Kv represents the convenience coefficient corresponding to the vth target road segment. When the maximum convenience coefficient Kmax=max(K jh )≥K', the initial site selection is used as the charging pile address, and K' represents the preset convenience coefficient threshold.

[0066] In another preferred implementation of the present invention, the process of determining the target distance specifically includes:

[0067] Taking the parking lot in the first parking lot partition as the center of the circle, a circle with a preset radius r is drawn to obtain the living area, and the distance d between the initial site and the center of the circle is calculated;

[0068] Calculate the first distance D, when the initial site is within the living area, D=rd; when the initial site is on the boundary of the living area, D=d; when the initial site is outside the living area, D=dr;

[0069] Calculate the average of the first distance D as the living distance D';

[0070] When the area S of the overlapping part of two adjacent living areas B and B' is greater than or equal to S', the minimum circumscribed circle of the living areas B and B' is determined and used as the living area B, and S' represents a preset overlapping area threshold.

[0071] It should be noted that a circle with a preset radius r is drawn with the parking lot as the center, and the circle is taken as the range of some areas that the user may go to after charging the vehicle at the charging pile. Considering the distance between the initial site and the living area, the distance from the user to the living area is determined and the average is calculated as the living distance to quantify whether the initial site is convenient for the user's daily life. The farther the living distance, the less convenient it is for the user's daily life.

[0072] In another preferred implementation of the present invention, when the minimum convenience coefficient Kmin<K', the following steps are performed:

[0073] Taking the initial site selection as the center and a preset radius R as the center, a circle is drawn to obtain the site selection area;

[0074] In the site selection area, a plurality of candidate locations are set at a preset second distance interval, and the maximum convenience coefficient of each candidate location is determined, and the maximum value is obtained, and the candidate location corresponding to the maximum value is used as the charging pile site.

[0075] In another preferred implementation of the present invention, in the step S2, during the process of setting the speed measurement points, after the cth speed measurement point is set, when the distance between the cth speed measurement point and the end point of the target section is less than the first distance interval, the distance between the cth speed measurement point and the end point of the target section is no longer used as the target section.

[0076] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A new energy charging pile planning method for a smart community, characterized in that: The following steps are involved: S1: Determine the location of the charging pile in the first parking lot partition and use it as the initial location, draw a ray starting from the initial location and with an azimuth of A as ray A, and use the first road intersecting with ray A as the target road RoadA, and use the intersection of ray A and target road RoadA as the target point, and repeat the above steps to determine the target points at different azimuths, and connect the target points on the same target road in sequence to obtain the target road section; S2: setting a number of speed measuring points at a preset first distance interval L on the target road section, collecting the driving speed of vehicles passing through the speed measuring points within a preset monitoring period, and calculating the average value as the average speed of the vehicles at the speed measuring points; Draw a straight line through the initial site and perpendicular to the target section, and use the intersection of the straight line and the target section as the reference point F, determine the previous speed measurement point F-1 adjacent to the reference point F, and determine the next speed measurement point F+1 adjacent to the reference point F, and calculate the speed change rate P = (V F+1 -V F-1 ) / 2L, where V F+1 Indicates the average speed of the vehicle at the speed measurement point F+1; Generate an average speed set Vjh = (V1, V2, ..., Vy), y represents the total number of speed measurement points, when the average speed of the vehicle is greater than or equal to V F , take it as the convenient speed, and count the proportion G of the convenient speed in the average speed set; S3: Calculate the convenience coefficient, and determine whether to use the initial site selection as the charging pile site selection according to the convenience coefficient; The process of determining whether to use the initial site selection as the charging pile site selection according to the convenience coefficient specifically includes: The convenience coefficient is calculated by the formula, which is: η represents a preset correction coefficient, P' represents a preset speed change rate threshold, and D' represents a target distance, which is the average straight-line distance between the initial site and the preset living area; Generate a convenience coefficient set Kjh = (K1, K2, ..., Kv), where Kv represents the convenience coefficient corresponding to the vth target road section. When the maximum convenience coefficient Kmax = max(Kjh) ≥ K', the initial site selection is used as the charging pile address, and K' represents a preset convenience coefficient threshold; The process of determining the target distance specifically includes: Taking the parking lot in the first parking lot partition as the center of the circle, a circle with a preset radius r is drawn to obtain the living area, and the distance d between the initial site and the center of the circle is calculated; Calculate the first distance D, when the initial site is within the living area, D=rd; when the initial site is on the boundary of the living area, D=d; when the initial site is outside the living area, D=dr; Calculate the average of the first distance D as the living distance D'; When the area S of the overlapped part of two adjacent living areas B and B' is greater than or equal to S', the minimum circumscribed circle of the living areas B and B' is determined and used as the living area B, and S' represents a preset overlapped area threshold; When the minimum convenience coefficient Kmin<K', perform the following steps: Taking the initial site selection as the center and a preset radius R as the center, a circle is drawn to obtain the site selection area; In the site selection area, a plurality of candidate locations are set at a preset second distance interval, and the maximum convenience coefficient of each candidate location is determined, and the maximum value is obtained, and the candidate location corresponding to the maximum value is used as the charging pile site.

2. According to claim 1, a new energy charging pile planning method for a smart community is characterized in that: In step S1, the process of setting the monitoring period specifically includes: m collection cycles are set, where m is a preset value. Several time nodes are set at preset time intervals within the collection cycle. The number of vehicles using the charging pile at time node a is obtained and the average Ca is calculated. Data points (a, Ca) are generated. The data points are fitted to obtain a curve f(t) showing the number of vehicles using the charging pile over time, and the curve is used as the usage curve. Solve f(t) = C' to get the initial time t', C' represents the preset threshold of the number of vehicles using the charging pile, and the average number of vehicles is calculated by the following formula: Where tb' represents the bth initial time, b<n-1, n represents the total number of initial times, when Cb,mean≥C', [tb',tb +1 '] as the monitoring period.

3. A new energy charging pile planning method for a smart community according to claim 2, characterized in that: The process of calculating the average number of vehicles also includes the following steps: When the first difference ΔC=|max(f(t))-Cb,mean|≥ΔC', remove max(f(t)), t∈[tb', tb +1 '], ΔC' represents the preset difference threshold, and the average is calculated again, and the above steps are repeated until the first difference ΔC < ΔC'; When the second difference ΔC=|min(f(t))-Cb,mean|≥ΔC', minf(t)) is removed, t∈[tb', tb +1 '], and calculate the average again, and repeat the above steps until the second difference ΔC<ΔC'.

4. A new energy charging pile planning method for a smart community according to claim 2, characterized in that: The process of determining the monitoring period also includes the following steps: When tb +1 When '-tb'≤Δt', [tb', tb +1 '] as the monitoring period, Δt' represents the preset monitoring period length threshold; Draw a straight line through (0, C') and parallel to the x-axis, and use it as a reference line. When the usage curve has a portion overlapping with the reference line, and when the time interval corresponding to the overlapping portion is greater than or equal to Δt', the time interval corresponding to the overlapping portion is used as the monitoring period.

5. A new energy charging pile planning method for a smart community according to claim 1, characterized in that: In the step S2, during the process of setting the speed measurement points, after the cth speed measurement point is set, if the distance between the cth speed measurement point and the end point of the target section is less than the first distance interval, the distance between the cth speed measurement point and the end point of the target section is no longer used as the target section.

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