CN117196265A - Electric vehicle charging station site selection planning method, system and readable storage medium - Google Patents
Electric vehicle charging station site selection planning method, system and readable storage medium Download PDFInfo
- Publication number
- CN117196265A CN117196265A CN202311464459.2A CN202311464459A CN117196265A CN 117196265 A CN117196265 A CN 117196265A CN 202311464459 A CN202311464459 A CN 202311464459A CN 117196265 A CN117196265 A CN 117196265A
- Authority
- CN
- China
- Prior art keywords
- charging station
- parking lot
- addressed
- electric vehicle
- target electric
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 29
- 230000000875 corresponding effect Effects 0.000 claims description 20
- 238000012216 screening Methods 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 6
- 230000002596 correlated effect Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 description 10
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 9
- 238000009825 accumulation Methods 0.000 description 4
- 230000008030 elimination Effects 0.000 description 4
- 238000003379 elimination reaction Methods 0.000 description 4
- 230000007547 defect Effects 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Landscapes
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention provides an electric vehicle charging station site selection planning method, an electric vehicle charging station site selection planning system and a readable storage medium. The electric vehicle charging station site selection planning method comprises the following steps: acquiring historical typhoon disaster data of all public parking lots in a target site selection area; wherein, the historical typhoon disaster data comprises: historical typhoon weather times, ponding depth and ponding area; determining the anti-typhoon capacity of each public parking lot according to the historical typhoon disaster data; determining an anti-parking capacity threshold value of the target site selection area according to the average number of the anti-parking capacities of all public parking lots; and selecting the public parking lot with the anti-station capability greater than or equal to the anti-station capability threshold as a pre-selected parking lot in the target site selection area. The charging station layout method and the charging station layout device solve the technical problem that the charging station layout is unreasonable.
Description
Technical Field
The invention relates to the technical field of electric vehicle charging station site selection, in particular to an electric vehicle charging station site selection planning method, an electric vehicle charging station site selection planning system and a readable storage medium.
Background
With the increasing level of urban resident living and the rapid economic development, the possession rate and daily necessities of private cars are increasing. The electric automobile is used as a novel energy automobile, and rapidly enters the field of view of the public with the characteristics of low emission and low noise, so that more and more attention is paid to the electric automobile, and the number of the electric automobiles and the duty ratio of the electric automobiles in private automobiles are gradually increased. However, the charging facilities of the electric vehicle are imperfect, the problems of unreasonable address selection of the charging station and the like are increasingly remarkable, so that the electric vehicle is inconvenient to charge when going out, the charging requirements of electric vehicle users cannot be met, and the promotion of the electric vehicle industry is inconvenient. However, in the existing electric vehicle charging station location method, the rejecting process is usually performed according to whether the charging station position landmarks meet the geographical distance constraint of the charging station, and the phenomena of more vehicles, fewer piles and long queuing time of the short supply are often caused. In addition, the influence of typhoon weather on the electric vehicle charging station is rarely considered in the related art.
Disclosure of Invention
In order to solve the problems that in the existing electric vehicle charging station location method, rejecting processing is usually carried out according to whether the charging station position landmarks meet the geographical distance constraint of a charging station, and supply shortage is frequently caused, and queuing time is long, the invention provides an electric vehicle charging station location planning method. The electric vehicle charging station site selection planning method comprises the following steps: acquiring historical typhoon disaster data of all public parking lots in a target site selection area; wherein, the historical typhoon disaster data comprises: historical typhoon weather times, ponding depth and ponding area; determining the anti-typhoon capacity of each public parking lot according to the historical typhoon disaster data; determining an anti-parking capacity threshold value of the target site selection area according to the average number of the anti-parking capacities of all public parking lots; selecting a public parking lot with the anti-station capability greater than or equal to the anti-station capability threshold as a pre-selected parking lot in a target site selection area; obtaining the geographic positions of all the pre-selected parking lots in the target site selection area and the vehicle access data of each pre-selected parking lot; the vehicle access data comprises a vehicle type, an access time and a parking duration; counting the number of target electric vehicles with the single parking time exceeding one hour in the counting period of each public parking lot; dividing the pre-address parking lot into a first pre-address parking lot, a second pre-address parking lot and a third pre-address parking lot according to the magnitude relation between the number of the target electric vehicles and the first electric vehicle number threshold value and the second electric vehicle number threshold value; selecting the first pre-selected address parking lot and the second pre-selected address parking lot as charging station to-be-addressed places in a target site selection area; screening the charging station site to be addressed according to the geographic position, the number of parking spaces and the number of target electric vehicles of the charging station site to be addressed to obtain a final charging station site to be addressed; and determining the number of the charging piles of the charging station site according to the type of the charging station site, the charging willingness of the target electric vehicle and the in-out frequency of the target electric vehicle.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: according to the times of being flooded, the water accumulation depth and the water accumulation area of the historical typhoon weather of each public parking lot, the anti-platform capacity of each public parking lot can be determined; determining the average level of the anti-parking capability of all public parking lots in the target site selection area by determining an anti-parking capability threshold value of the target site selection area according to the average of the anti-parking capability of all public parking lots; by selecting the public parking lot with the anti-platform capacity larger than or equal to the threshold value of the anti-platform capacity as the pre-selected parking lot in the target site selection area, the public parking lot with the anti-platform capacity lower than the average level of the anti-platform capacity in the target site selection area can be removed, and the situation that the charging pile is submerged by water due to poor anti-platform capacity after the electric automobile charging station is built is avoided. By pre-screening all public parking lots in the target site selection area according to the anti-station capability of each public parking lot before screening according to the geographic position of the parking lot and the vehicle access data, the problems that the planned site selection layout of the charging stations causes coverage blind areas of the charging stations due to anti-station capability elimination, and the adjacent charging stations of the removed site selection area have the defects of more and less vehicles and long queuing time due to the fact that the anti-station capability screening is performed after screening according to the geographic position of the parking lot and the vehicle access data can be avoided. By counting the number of target electric vehicles of which the single parking time of each pre-selected parking lot exceeds one hour in the counting period, the number of electric vehicles possibly charged in each pre-selected parking lot can be determined according to the number of target electric vehicles, so that the charging requirement of each pre-selected parking lot is determined. The pre-selected address parking lot is divided into a first pre-selected address parking lot, a second pre-selected address parking lot and a third pre-selected address parking lot according to the magnitude relation between the number of target electric vehicles and the number threshold value of the first electric vehicles and the number threshold value of the second electric vehicles, the types of the pre-selected address parking lots can be divided according to the charging demands of the pre-selected address parking lots, and the pre-selected address parking lot with higher charging demands is selected as a charging station site to be selected in the target site selection area. Because the geographical position distribution of the pre-site parking lots is likely to be centralized, and the number of parking spaces of each pre-site parking lot is different, the charging station site to be selected needs to be further screened according to the geographical position of the power station site to be selected, the number of the parking spaces and the number of target electric vehicles, so that the layout and planning of the final charging station site selection are more reasonable.
In one example of the present invention, the dividing the pre-site parking lot into a first pre-site parking lot, a second pre-site parking lot, and a third pre-site parking lot according to the magnitude relation between the number of the target electric vehicles and the first electric vehicle number threshold value, the second electric vehicle number threshold value includes: if the number of the target electric vehicles is greater than or equal to the first electric vehicle number threshold, marking the corresponding pre-selected parking lot as a first pre-selected parking lot; if the number of the target electric vehicles is smaller than the first electric vehicle number threshold value and the number of the target electric vehicles is larger than or equal to the second electric vehicle number threshold value, acquiring a number change value of the target electric vehicles in the current statistical period and the last statistical period; if the quantity change value of the target electric vehicles is greater than or equal to a change value threshold, marking the corresponding pre-selected parking lot as a second pre-selected parking lot; if the number of the target electric vehicles is smaller than the threshold value of the number of the second electric vehicles, marking the corresponding pre-selected parking lot as a third pre-selected parking lot; the first electric automobile quantity threshold value is larger than the second electric automobile quantity threshold value; and the change value threshold is positively correlated with the ratio of the first electric automobile quantity threshold to the second electric automobile quantity threshold.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: if the number of the target electric vehicles is greater than or equal to the first electric vehicle number threshold, the charging requirement of the pre-selected parking lot is larger, so that the corresponding pre-selected parking lot is marked as a first pre-selected parking lot; if the number of the target electric vehicles is smaller than the first electric vehicle number threshold and the number of the target electric vehicles is larger than or equal to the second electric vehicle number threshold, the charging requirement of the pre-selected parking lot is not very high, so that the number change value of the target electric vehicles in the current statistical period and the last statistical period is obtained, the growing trend of the charging requirement of the pre-selected parking lot is known according to the number change value of the target electric vehicles, whether the potential of the pre-selected parking lot becomes the first pre-selected parking lot exists or not, and if the growing trend of the charging requirement of the pre-selected parking lot is better, the corresponding pre-selected parking lot is marked as the second pre-selected parking lot; if the number of the target electric vehicles is smaller than the threshold value of the number of the second electric vehicles, the charging requirement of the pre-selected parking lot is lower, and the corresponding pre-selected parking lot is marked as a third pre-selected parking lot; further, the first pre-address parking lot and the second pre-address parking lot are selected as charging station site to be selected in the target site selection area, and the third pre-address parking lot is removed.
In one example of the present invention, the screening the charging station site to be addressed according to the geographic location, the number of parking spaces, and the number of target electric vehicles of the charging station site to be addressed, to obtain a final charging station site comprises: obtaining the driving distance between the sites to be addressed of all the charging stations according to the geographical positions of the sites to be addressed of the charging stations; if the driving distance between the two charging station address selecting places is smaller than the driving distance threshold value, marking the two charging station address selecting places as adjacent charging station address selecting places; the adjacent charging station to-be-addressed places comprise an adjacent charging station to-be-addressed place I and an adjacent charging station to-be-addressed place II; calculating the sum of the number of the target electric vehicles of the adjacent charging station to be addressed according to the number of the target electric vehicles of the first adjacent charging station to be addressed and the number of the target electric vehicles of the second adjacent charging station to be addressed; and if the sum of the number of the target electric vehicles of the adjacent charging station to be addressed is larger than the number of parking spaces of the first adjacent charging station to be addressed and the sum of the number of the target electric vehicles of the adjacent charging station to be addressed is larger than the number of the parking spaces of the second adjacent charging station to be addressed, marking the first adjacent charging station to be addressed and the second adjacent charging station to be the charging station to be addressed.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: if the driving distance between the two charging station address selecting places is smaller than the driving distance threshold value, the fact that the distance between the two charging station address selecting places is relatively close is indicated, and if the two charging station address selecting places are marked as charging station address selecting places, the risk that charging piles are idle due to too dense charging station layout exists; the two charging station sites are marked as adjacent charging station sites, and whether the two charging station sites are necessary to be marked as the charging station sites is judged by the sum of the target electric automobile numbers of the adjacent charging station sites and the parking space numbers of the two charging station sites. If the sum of the number of the target electric vehicles is larger than the number of parking spaces of the first adjacent charging station to be addressed and larger than the number of parking spaces of the second adjacent charging station to be addressed, the charging requirement of the target electric vehicles of the two charging station to be addressed cannot be met if only one charging station to be addressed is set at the two charging station to be addressed, so that one charging station to be addressed is not removed according to the traditional distance requirement, and the first adjacent charging station to be addressed and the second adjacent charging station to be addressed are marked as the charging station to be addressed.
In an example of the present invention, the screening the charging station site to be addressed according to the geographic location, the number of parking spaces, and the number of target electric vehicles of the charging station site to be addressed, to obtain a final charging station site further includes: and if the sum of the number of the target electric vehicles of the adjacent charging station to be addressed is not satisfied and is larger than the number of parking spaces of the first adjacent charging station to be addressed and the sum of the number of the target electric vehicles of the adjacent charging station to be addressed is larger than the number of the parking spaces of the second adjacent charging station to be addressed, performing one-out-of-two rejection processing on the adjacent charging station to be addressed according to the number of the second pre-selected parking lots existing in the adjacent charging station to be addressed.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: if the sum of the number of the target electric vehicles is not satisfied and is greater than the number of the parking spaces of the first site selection place of the adjacent charging stations and is greater than the number of the parking spaces of the second site selection place of the adjacent charging stations, the charging requirement of the target electric vehicles of the two site selection places of the two charging stations can be satisfied only by setting one site selection place of the two charging stations in the site selection place of the two charging stations, and therefore the second-choice elimination processing is carried out on the site selection place of the adjacent charging stations. Because the charging station to be addressed comprises a first pre-address parking lot and a second pre-address parking lot, and the second pre-address parking lot has a better growing trend of charging requirements, the second pre-address parking lot is subjected to the second-to-first-out processing according to the number of the second pre-address parking lots existing in the adjacent charging station to be addressed.
In one example of the invention, if two second pre-selected parking lots exist in the adjacent charging station to-be-addressed places, selecting the adjacent charging station to-be-addressed places with larger quantity change values of the target electric vehicles as the charging station to-be-addressed places; if a second pre-selected parking lot exists in the adjacent charging station to-be-addressed places, selecting the adjacent charging station to-be-addressed place corresponding to the first pre-selected parking lot as the charging station to-be-addressed place; and if zero second pre-selected parking lots exist in the adjacent charging station to-be-addressed places, selecting the adjacent charging station to-be-addressed places with smaller difference between the sum of the parking spaces and the target electric vehicles as the charging station to-be-addressed places.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: if two second pre-selected parking lots exist in the adjacent charging station to-be-addressed places, the first adjacent charging station to-be-addressed places and the second adjacent charging station to-be-addressed places are both second pre-selected parking lots and have a growing trend of good charging demands, and then the adjacent charging station to-be-addressed places with the large quantity change value of the target electric vehicles are selected, namely, the one with the better growing trend of the charging demands in the two is selected as the charging station to-be-addressed place. If a second pre-selected parking lot exists in the adjacent charging station to-be-addressed places, selecting the adjacent charging station to-be-addressed place corresponding to the first pre-selected parking lot as the charging station to-be-addressed place; if zero second pre-selected parking lots exist in the adjacent charging station to-be-addressed places, the fact that the first adjacent charging station to-be-addressed places and the second adjacent charging station to-be-addressed places are the first pre-selected parking lots is indicated, and then the adjacent charging station to-be-addressed places with smaller difference between the sum of the parking spaces and the target electric vehicles are selected as the charging station to-be-addressed places, so that the problem of waste of charging piles is avoided.
In one example of the present invention, the determining the number of charging piles of the charging station site according to the type of the charging station site, the charging willingness of the target electric vehicle, and the frequency of the in-out of the target electric vehicle includes: acquiring the charging willingness of the target electric vehicle and the in-out frequency of the target electric vehicle of the first pre-address parking lot; calculating a total charging willingness value of the first pre-selected address parking lot according to the charging willingness of the target electric automobile of the first pre-selected address parking lot and the in-out frequency of the target electric automobile; and determining the number of the charging piles of the first pre-selected parking lot according to the total charging willingness value of the first pre-selected parking lot.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: it can be appreciated that the willingness to charge of the target electric vehicle in the first pre-site parking lot characterizes whether the owner of the target electric vehicle is willing to pay for charging in the first pre-site parking lot; the in-out frequency of the target electric vehicle of the first pre-address parking lot represents the importance degree of the charging willingness of the target electric vehicle; the charging intention total value of the first pre-selected address parking lot is calculated according to the charging intention of the target electric automobile and the in-out frequency of the target electric automobile of the first pre-selected address parking lot, so that the number of the charging piles of the first pre-selected address parking lot can be more accurately determined, and errors caused by the fact that the target electric automobile with high in-out frequency and the target electric automobile with low in-out frequency are not distinguished are avoided.
In one example of the present invention, the determining the number of charging piles of the charging station site according to the type of the charging station site, the charging willingness of the target electric vehicle, and the frequency of the in-out of the target electric vehicle further includes: calculating a total charging willingness value of the second pre-selected address parking lot according to the charging willingness of the target electric automobile of the second pre-selected address parking lot and the in-out frequency of the target electric automobile; correcting the charging willingness total value of the second pre-selected address parking lot according to the quantity change value of the target electric automobile to obtain a corrected charging willingness total value of the second pre-selected address parking lot; and determining the number of the charging piles of the second pre-selected parking lot according to the corrected total charging willingness value of the second pre-selected parking lot.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: it can be appreciated that the willingness to charge of the target electric vehicle in the second pre-site parking lot characterizes whether the owner of the target electric vehicle is willing to pay for charging in the second pre-site parking lot; the in-out frequency of the target electric vehicle of the second pre-address parking lot represents the importance degree of the charging willingness of the target electric vehicle; the charging intention total value of the second pre-selected address parking lot is calculated according to the charging intention of the target electric automobile and the in-out frequency of the target electric automobile of the second pre-selected address parking lot, so that the number of charging piles of the second pre-selected address parking lot can be more accurately determined, and errors caused by the fact that the target electric automobile with high in-out frequency and the target electric automobile with low in-out frequency are not distinguished are avoided. The total charging willingness value of the second pre-selected parking lot is corrected according to the quantity change value of the target electric vehicles, so that the phenomenon of insufficient quantity setting of charging piles, more vehicles and less supply and demand of the vehicles caused by neglecting the quantity change value of the target electric vehicles of the second pre-selected parking lot can be avoided.
The embodiment of the invention provides an electric vehicle charging station site selection planning system, which comprises a computer readable storage medium and a processor, wherein the computer readable storage medium stores a computer program, and when the computer program is read and run by the processor, any electric vehicle charging station site selection planning method is realized.
The embodiment of the invention provides a readable storage medium, wherein an electric vehicle charging station site selection planning program is stored on the readable storage medium, and when the electric vehicle charging station site selection planning program is executed by a processor, any electric vehicle charging station site selection planning method is realized.
After the technical scheme of the invention is adopted, the following technical effects can be achieved:
(1) According to the times of being flooded, the water accumulation depth and the water accumulation area of the historical typhoon weather of each public parking lot, the anti-platform capacity of each public parking lot can be determined; determining the average level of the anti-parking capability of all public parking lots in the target site selection area by determining an anti-parking capability threshold value of the target site selection area according to the average of the anti-parking capability of all public parking lots; by selecting the public parking lot with the anti-platform capacity larger than or equal to the threshold value of the anti-platform capacity as the pre-selected parking lot in the target site selection area, the public parking lot with the anti-platform capacity lower than the average level of the anti-platform capacity in the target site selection area can be removed, and the situation that the charging pile is submerged by water due to poor anti-platform capacity after the electric automobile charging station is built is avoided.
(2) By pre-screening all public parking lots in the target site selection area according to the anti-station capability of each public parking lot before screening according to the geographic position of the parking lot and the vehicle access data, the problems that the planned site selection layout of the charging stations causes coverage blind areas of the charging stations due to anti-station capability elimination, and the adjacent charging stations of the removed site selection area have the defects of more and less vehicles and long queuing time due to the fact that the anti-station capability screening is performed after screening according to the geographic position of the parking lot and the vehicle access data can be avoided.
(3) By counting the number of target electric vehicles of which the single parking time of each pre-selected parking lot exceeds one hour in the counting period, the number of electric vehicles possibly charged in each pre-selected parking lot can be determined according to the number of target electric vehicles, so that the charging requirement of each pre-selected parking lot is determined. The pre-selected address parking lot is divided into the first pre-selected address parking lot, the second pre-selected address parking lot and the third pre-selected address parking lot according to the magnitude relation between the number of the target electric vehicles and the first electric vehicle number threshold value and the second electric vehicle number threshold value, the types of the pre-selected address parking lots can be divided according to the charging requirements of the pre-selected address parking lots, and the pre-selected address parking lot with higher charging requirements can be selected as a charging station to-be-selected place in the target site selection area. Because the geographical position distribution of the pre-site parking lots is likely to be centralized, and the number of parking spaces of each pre-site parking lot is different, the charging station site to be selected needs to be further screened according to the geographical position of the power station site to be selected, the number of the parking spaces and the number of target electric vehicles, so that the layout and planning of the final charging station site selection are more reasonable.
Drawings
Fig. 1 is a schematic flow chart of an electric vehicle charging station location planning method according to an embodiment of the present invention.
Detailed Description
In order that the above objects, features and advantages of the invention will be readily understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
Referring to fig. 1, a flow chart of an electric vehicle charging station location planning method according to an embodiment of the invention is shown. The electric vehicle charging station site selection planning method comprises the following steps:
s10: acquiring historical typhoon disaster data of all public parking lots in a target site selection area; wherein, the historical typhoon disaster data comprises: historical typhoon weather times, ponding depth and ponding area;
s20: determining the anti-typhoon capacity of each public parking lot according to the historical typhoon disaster data; determining an anti-parking capacity threshold value of the target site selection area according to the average number of the anti-parking capacities of all public parking lots; selecting a public parking lot with the anti-station capability greater than or equal to the anti-station capability threshold as a pre-selected parking lot in a target site selection area;
s30: obtaining the geographic positions of all the pre-selected parking lots in the target site selection area and the vehicle access data of each pre-selected parking lot; the vehicle access data comprises a vehicle type, an access time and a parking duration; counting the number of target electric vehicles with the single parking time exceeding one hour in the counting period of each public parking lot;
S40: dividing the pre-address parking lot into a first pre-address parking lot, a second pre-address parking lot and a third pre-address parking lot according to the magnitude relation between the number of the target electric vehicles and the first electric vehicle number threshold value and the second electric vehicle number threshold value; selecting the first pre-selected address parking lot and the second pre-selected address parking lot as charging station to-be-addressed places in a target site selection area;
s50: screening the charging station site to be addressed according to the geographic position, the number of parking spaces and the number of target electric vehicles of the charging station site to be addressed to obtain a final charging station site to be addressed;
s60: and determining the number of the charging piles of the charging station site according to the type of the charging station site, the charging willingness of the target electric vehicle and the in-out frequency of the target electric vehicle.
It can be understood that the anti-typhoon capacity of each public parking lot can be determined according to the flooded times, the accumulated water depth and the accumulated water area of the historical typhoon weather of each public parking lot; determining the average level of the anti-parking capability of all public parking lots in the target site selection area by determining an anti-parking capability threshold value of the target site selection area according to the average of the anti-parking capability of all public parking lots; by selecting the public parking lot with the anti-platform capacity larger than or equal to the threshold value of the anti-platform capacity as the pre-selected parking lot in the target site selection area, the public parking lot with the anti-platform capacity lower than the average level of the anti-platform capacity in the target site selection area can be removed, and the situation that the charging pile is submerged by water due to poor anti-platform capacity after the electric automobile charging station is built is avoided.
By pre-screening all public parking lots in the target site selection area according to the anti-station capability of each public parking lot before screening according to the geographic position of the parking lot and the vehicle access data, the problems that planned charging stations are arranged in site selection, coverage blind areas appear in the charging stations due to anti-station capability elimination, supply and demand of 'multiple vehicles are less and queuing time is long' appear in adjacent charging stations in site selection of the eliminated charging stations can be avoided after screening according to the geographic position of the parking lot and the vehicle access data.
By counting the number of target electric vehicles of which the single parking time of each pre-selected parking lot exceeds one hour in the counting period, the number of electric vehicles possibly charged in each pre-selected parking lot can be determined according to the number of target electric vehicles, so that the charging requirement of each pre-selected parking lot is determined.
The pre-selected address parking lot is divided into a first pre-selected address parking lot, a second pre-selected address parking lot and a third pre-selected address parking lot according to the magnitude relation between the number of target electric vehicles and the number threshold value of the first electric vehicles and the number threshold value of the second electric vehicles, the types of the pre-selected address parking lots can be divided according to the charging demands of the pre-selected address parking lots, and the pre-selected address parking lot with higher charging demands is selected as a charging station site to be selected in the target site selection area.
Because the geographical position distribution of the pre-site parking lots is likely to be centralized, and the number of parking spaces of each pre-site parking lot is different, the charging station site to be selected needs to be further screened according to the geographical position of the power station site to be selected, the number of the parking spaces and the number of target electric vehicles, so that the layout and planning of the final charging station site selection are more reasonable.
Further, dividing the pre-address parking lot into a first pre-address parking lot, a second pre-address parking lot, and a third pre-address parking lot according to the magnitude relation between the number of target electric vehicles and the first electric vehicle number threshold value and the second electric vehicle number threshold value includes: if the number of the target electric vehicles is greater than or equal to the first electric vehicle number threshold, marking the corresponding pre-selected parking lot as a first pre-selected parking lot; if the number of the target electric vehicles is smaller than the first electric vehicle number threshold value and the number of the target electric vehicles is larger than or equal to the second electric vehicle number threshold value, acquiring a number change value of the target electric vehicles in the current statistical period and the last statistical period; if the number change value of the target electric vehicles is greater than or equal to the change value threshold, marking the corresponding pre-selected parking lot as a second pre-selected parking lot; if the number of the target electric vehicles is smaller than the threshold value of the number of the second electric vehicles, marking the corresponding pre-selected parking lot as a third pre-selected parking lot; the first electric automobile quantity threshold value is larger than the second electric automobile quantity threshold value; the change value threshold is positively correlated with the ratio of the first electric vehicle number threshold to the second electric vehicle number threshold. For example, the statistical period is a quarter, i.e., 3 months is a statistical period.
It can be understood that if the number of the target electric vehicles is greater than or equal to the first electric vehicle number threshold, it is indicated that the charging requirement of the pre-selected parking lot is relatively large, so that the corresponding pre-selected parking lot is marked as a first pre-selected parking lot; if the number of the target electric vehicles is smaller than the first electric vehicle number threshold and the number of the target electric vehicles is larger than or equal to the second electric vehicle number threshold, the charging requirement of the pre-selected parking lot is not very high, so that the number change value of the target electric vehicles in the current statistical period and the last statistical period is obtained, the growing trend of the charging requirement of the pre-selected parking lot is known according to the number change value of the target electric vehicles, whether the potential of the pre-selected parking lot becomes the first pre-selected parking lot exists or not, and if the growing trend of the charging requirement of the pre-selected parking lot is better, the corresponding pre-selected parking lot is marked as the second pre-selected parking lot; if the number of the target electric vehicles is smaller than the threshold value of the number of the second electric vehicles, the charging requirement of the pre-selected parking lot is lower, and the corresponding pre-selected parking lot is marked as a third pre-selected parking lot; further, the first pre-address parking lot and the second pre-address parking lot are selected as charging station site to be selected in the target site selection area, and the third pre-address parking lot is removed.
Further, according to the geographic position of the charging station to be addressed, the number of parking spaces and the number of target electric vehicles, the charging station to be addressed is screened, and the obtaining of the final charging station to be addressed comprises: obtaining the driving distance between the sites to be addressed of all the charging stations according to the geographical positions of the sites to be addressed of the charging stations; if the driving distance between the two charging station address selecting places is smaller than the driving distance threshold value, marking the two charging station address selecting places as adjacent charging station address selecting places; the adjacent charging station to-be-addressed places comprise an adjacent charging station to-be-addressed place I and an adjacent charging station to-be-addressed place II; calculating the sum of the number of the target electric vehicles of the adjacent charging station to be addressed according to the number of the target electric vehicles of the first adjacent charging station to be addressed and the number of the target electric vehicles of the second adjacent charging station to be addressed; if the sum of the number of the target electric vehicles of the adjacent charging station to be addressed is larger than the number of parking spaces of the adjacent charging station to be addressed, and the sum of the number of the target electric vehicles of the adjacent charging station to be addressed is larger than the number of the parking spaces of the adjacent charging station to be addressed, marking the adjacent charging station to be addressed and the adjacent charging station to be addressed as charging station to be addressed.
It can be understood that if there is a situation that the driving distance between two charging station sites is smaller than the driving distance threshold value, it is indicated that the distance between the two charging station sites is relatively close, and if both the charging station sites are marked as charging station site sites, there is a risk that the charging stations are laid out too densely, resulting in idle charging piles; the two charging station sites are marked as adjacent charging station sites, and whether the two charging station sites are necessary to be marked as the charging station sites is judged by the sum of the target electric automobile numbers of the adjacent charging station sites and the parking space numbers of the two charging station sites.
If the sum of the number of the target electric vehicles is larger than the number of parking spaces of the first adjacent charging station to be addressed and larger than the number of parking spaces of the second adjacent charging station to be addressed, the charging requirement of the target electric vehicles of the two charging station to be addressed cannot be met if only one charging station to be addressed is set at the two charging station to be addressed, so that one charging station to be addressed is not removed according to the traditional distance requirement, and the first adjacent charging station to be addressed and the second adjacent charging station to be addressed are marked as the charging station to be addressed.
Further, according to the geographic position of the location to be addressed of the charging station, the number of parking spaces, and the number of target electric vehicles, the method for screening the location to be addressed of the charging station to obtain the final location to be addressed of the charging station further comprises: and if the sum of the number of the target electric vehicles of the adjacent charging station to be addressed is not satisfied and is larger than the number of parking spaces of the first adjacent charging station to be addressed and the sum of the number of the target electric vehicles of the adjacent charging station to be addressed is larger than the number of the parking spaces of the second adjacent charging station to be addressed, performing one-out-of-two rejection processing on the adjacent charging station to be addressed according to the number of the second pre-selected parking lots existing in the adjacent charging station to be addressed.
It can be understood that if the sum of the number of target electric vehicles is not satisfied and is greater than the number of parking spaces of the first site to be addressed to the adjacent charging station and is greater than the number of parking spaces of the second site to be addressed to the adjacent charging station, it is indicated that the charging requirements of the target electric vehicles of the two sites to be addressed to the two charging stations can be satisfied only by setting one site to be addressed to the two charging stations, so that the second-choice rejection process is performed on the sites to be addressed to the adjacent charging stations. Because the charging station to be addressed comprises a first pre-address parking lot and a second pre-address parking lot, and the second pre-address parking lot has a better growing trend of charging requirements, the second pre-address parking lot is subjected to the second-to-first-out processing according to the number of the second pre-address parking lots existing in the adjacent charging station to be addressed.
Further, if two second pre-selected parking lots exist in the adjacent charging station to-be-addressed places, selecting the adjacent charging station to-be-addressed places with larger quantity change values of the target electric vehicles as the charging station to-be-addressed places; if a second pre-selected parking lot exists in the adjacent charging station to-be-addressed places, selecting the adjacent charging station to-be-addressed place corresponding to the first pre-selected parking lot as the charging station to-be-addressed place; and if zero second pre-selected parking lots exist in the adjacent charging station to-be-addressed places, selecting the adjacent charging station to-be-addressed places with smaller difference between the sum of the parking spaces and the target electric vehicles as the charging station to-be-addressed places.
It can be understood that if two second pre-selected parking lots exist in the adjacent charging station to-be-addressed places, it is indicated that the first adjacent charging station to-be-addressed place and the second adjacent charging station to-be-addressed place are both the second pre-selected parking lots and have a better growing trend of the charging demand, then the adjacent charging station to-be-addressed place with the larger number change value of the target electric automobile is selected, that is, the one with the better growing trend of the charging demand is selected as the charging station to-be-addressed place. If a second pre-selected parking lot exists in the adjacent charging station to-be-addressed places, a first pre-selected parking lot and a second pre-selected parking lot exist in the adjacent charging station to-be-addressed place I and the adjacent charging station to-be-addressed place II, so that the adjacent charging station to-be-addressed place corresponding to the first pre-selected parking lot is selected as the charging station to-be-addressed place; if zero second pre-selected parking lots exist in the adjacent charging station to-be-addressed places, the fact that the first adjacent charging station to-be-addressed places and the second adjacent charging station to-be-addressed places are the first pre-selected parking lots is indicated, and then the adjacent charging station to-be-addressed places with smaller difference between the sum of the parking spaces and the target electric vehicles are selected as the charging station to-be-addressed places, so that the problem of waste of charging piles is avoided.
Further, the determining the number of the charging piles of the charging station site according to the type of the charging station site, the charging willingness of the target electric vehicle, and the frequency of the in-out of the target electric vehicle includes: acquiring the charging willingness of the target electric vehicle and the in-out frequency of the target electric vehicle of the first pre-address parking lot; calculating a total charging willingness value of the first pre-selected address parking lot according to the charging willingness of the target electric automobile of the first pre-selected address parking lot and the in-out frequency of the target electric automobile; and determining the number of the charging piles of the first pre-selected parking lot according to the total charging willingness value of the first pre-selected parking lot.
It can be appreciated that the willingness to charge of the target electric vehicle in the first pre-site parking lot characterizes whether the owner of the target electric vehicle is willing to pay for charging in the first pre-site parking lot; the in-out frequency of the target electric vehicle of the first pre-address parking lot represents the importance degree of the charging willingness of the target electric vehicle; the charging intention total value of the first pre-selected address parking lot is calculated according to the charging intention of the target electric automobile and the in-out frequency of the target electric automobile of the first pre-selected address parking lot, so that the number of charging piles of the first pre-selected address parking lot can be more accurately determined, and errors caused by the fact that the target electric automobile with high in-out frequency and the target electric automobile with low in-out frequency are not distinguished are avoided.
Further, determining the number of charging piles of the charging station site according to the type of the charging station site, the charging willingness of the target electric vehicle, and the frequency of the access of the target electric vehicle further includes: calculating a total charging willingness value of the second pre-selected address parking lot according to the charging willingness of the target electric automobile of the second pre-selected address parking lot and the in-out frequency of the target electric automobile; correcting the charging willingness total value of the second pre-selected address parking lot according to the quantity change value of the target electric automobile to obtain a corrected charging willingness total value of the second pre-selected address parking lot; and determining the number of the charging piles of the second pre-selected parking lot according to the corrected total charging willingness value of the second pre-selected parking lot.
It can be appreciated that the willingness to charge of the target electric vehicle in the second pre-site parking lot characterizes whether the owner of the target electric vehicle is willing to pay for charging in the second pre-site parking lot; the in-out frequency of the target electric vehicle of the second pre-address parking lot represents the importance degree of the charging willingness of the target electric vehicle; the charging intention total value of the second pre-selected address parking lot is calculated according to the charging intention of the target electric automobile and the in-out frequency of the target electric automobile of the second pre-selected address parking lot, so that the number of the charging piles of the second pre-selected address parking lot can be more accurately determined, and errors caused by the fact that the target electric automobile with high in-out frequency and the target electric automobile with low in-out frequency are not distinguished are avoided. The total charging willingness value of the second pre-selected parking lot is corrected according to the quantity change value of the target electric vehicles, so that the phenomenon of insufficient quantity setting of charging piles, more vehicles and less supply and demand of the vehicles caused by neglecting the quantity change value of the target electric vehicles of the second pre-selected parking lot can be avoided.
Further, the embodiment of the invention provides an electric vehicle charging station site selection planning system, which comprises a computer readable storage medium storing a computer program and a processor, wherein the computer program is read and run by the processor, so that any one of the electric vehicle charging station site selection planning methods described above is realized, the same effect can be achieved, and the repetition is avoided, and the description is omitted here.
Further, the embodiment of the present invention provides a readable storage medium, on which an electric vehicle charging station location planning program is stored, where the electric vehicle charging station location planning program is executed by a processor to implement any one of the foregoing electric vehicle charging station location planning methods, and the same effect can be achieved, so that repetition is avoided, and no further description is given here.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention, and the scope of the invention should be assessed accordingly to that of the appended claims.
Claims (9)
1. The electric vehicle charging station site selection planning method is characterized by comprising the following steps of:
Acquiring historical typhoon disaster data of all public parking lots in a target site selection area; wherein, the historical typhoon disaster data comprises: historical typhoon weather times, ponding depth and ponding area;
determining the anti-typhoon capacity of each public parking lot according to the historical typhoon disaster data; determining an anti-parking capacity threshold value of the target site selection area according to the average number of the anti-parking capacities of all public parking lots; selecting a public parking lot with the anti-station capability greater than or equal to the anti-station capability threshold as a pre-selected parking lot in a target site selection area;
obtaining the geographic positions of all the pre-selected parking lots in the target site selection area and the vehicle access data of each pre-selected parking lot; the vehicle access data comprises a vehicle type, an access time and a parking duration; counting the number of target electric vehicles with single parking time exceeding one hour in each pre-selected parking lot in a counting period;
dividing the pre-address parking lot into a first pre-address parking lot, a second pre-address parking lot and a third pre-address parking lot according to the magnitude relation between the number of the target electric vehicles and the first electric vehicle number threshold value and the second electric vehicle number threshold value; selecting the first pre-selected address parking lot and the second pre-selected address parking lot as charging station to-be-addressed places in a target site selection area;
Screening the charging station site to be addressed according to the geographic position, the number of parking spaces and the number of target electric vehicles of the charging station site to be addressed to obtain a final charging station site to be addressed;
and determining the number of the charging piles of the charging station site according to the type of the charging station site, the charging willingness of the target electric vehicle and the in-out frequency of the target electric vehicle.
2. The electric vehicle charging station location planning method of claim 1, wherein the dividing the pre-selected location parking lot into a first pre-selected location parking lot, a second pre-selected location parking lot, and a third pre-selected location parking lot according to a magnitude relation of the number of target electric vehicles to a first electric vehicle number threshold, a second electric vehicle number threshold comprises:
if the number of the target electric vehicles is greater than or equal to the first electric vehicle number threshold, marking the corresponding pre-selected parking lot as a first pre-selected parking lot;
if the number of the target electric vehicles is smaller than the first electric vehicle number threshold value and the number of the target electric vehicles is larger than or equal to the second electric vehicle number threshold value, acquiring a number change value of the target electric vehicles in the current statistical period and the last statistical period; if the quantity change value of the target electric vehicles is greater than or equal to a change value threshold, marking the corresponding pre-selected parking lot as a second pre-selected parking lot;
If the number of the target electric vehicles is smaller than the threshold value of the number of the second electric vehicles, marking the corresponding pre-selected parking lot as a third pre-selected parking lot;
the first electric automobile quantity threshold value is larger than the second electric automobile quantity threshold value; and the change value threshold is positively correlated with the ratio of the first electric automobile quantity threshold to the second electric automobile quantity threshold.
3. The method for planning address selection of electric vehicle charging station according to claim 1, wherein the screening the charging station address selection place according to the geographic location of the charging station address selection place, the number of parking spaces, and the number of target electric vehicles, and obtaining a final charging station address selection place comprises:
obtaining the driving distance between the sites to be addressed of all the charging stations according to the geographical positions of the sites to be addressed of the charging stations;
if the driving distance between the two charging station address selecting places is smaller than the driving distance threshold value, marking the two charging station address selecting places as adjacent charging station address selecting places; the adjacent charging station to-be-addressed places comprise an adjacent charging station to-be-addressed place I and an adjacent charging station to-be-addressed place II;
calculating the sum of the number of the target electric vehicles of the adjacent charging station to be addressed according to the number of the target electric vehicles of the first adjacent charging station to be addressed and the number of the target electric vehicles of the second adjacent charging station to be addressed;
And if the sum of the number of the target electric vehicles of the adjacent charging station to be addressed is larger than the number of parking spaces of the first adjacent charging station to be addressed and the sum of the number of the target electric vehicles of the adjacent charging station to be addressed is larger than the number of the parking spaces of the second adjacent charging station to be addressed, marking the first adjacent charging station to be addressed and the second adjacent charging station to be the charging station to be addressed.
4. The method for planning address selection of electric vehicle charging station according to claim 3, wherein said screening said charging station address selection field according to the geographic location of said charging station address selection field, the number of parking spaces, and the number of target electric vehicles, and obtaining a final charging station address selection field further comprises:
and if the sum of the number of the target electric vehicles of the adjacent charging station to be addressed is not satisfied and is larger than the number of parking spaces of the first adjacent charging station to be addressed and the sum of the number of the target electric vehicles of the adjacent charging station to be addressed is larger than the number of the parking spaces of the second adjacent charging station to be addressed, performing one-out-of-two rejection processing on the adjacent charging station to be addressed according to the number of the second pre-selected parking lots existing in the adjacent charging station to be addressed.
5. The method for locating an electric vehicle charging station according to claim 4,
if two second pre-selected parking lots exist in the adjacent charging station to-be-addressed places, selecting the adjacent charging station to-be-addressed places with larger quantity change values of the target electric vehicles as the charging station to-be-addressed places;
if a second pre-selected parking lot exists in the adjacent charging station to-be-addressed places, selecting the adjacent charging station to-be-addressed place corresponding to the first pre-selected parking lot as the charging station to-be-addressed place;
and if zero second pre-selected parking lots exist in the adjacent charging station to-be-addressed places, selecting the adjacent charging station to-be-addressed places with smaller difference between the sum of the parking spaces and the target electric vehicles as the charging station to-be-addressed places.
6. The electric vehicle charging station site selection planning method of claim 1, wherein the determining the number of charging piles of the charging station site according to the type of the charging station site, the willingness to charge of the target electric vehicle, and the frequency of access of the target electric vehicle comprises:
acquiring the charging willingness of the target electric vehicle and the in-out frequency of the target electric vehicle of the first pre-address parking lot;
Calculating a total charging willingness value of the first pre-selected address parking lot according to the charging willingness of the target electric automobile of the first pre-selected address parking lot and the in-out frequency of the target electric automobile;
and determining the number of the charging piles of the first pre-selected parking lot according to the total charging willingness value of the first pre-selected parking lot.
7. The electric vehicle charging station site selection planning method of claim 6, wherein the determining the number of charging piles for the charging station site according to the type of the charging station site, the willingness to charge of the target electric vehicle, and the frequency of access of the target electric vehicle further comprises:
calculating a total charging willingness value of the second pre-selected address parking lot according to the charging willingness of the target electric automobile of the second pre-selected address parking lot and the in-out frequency of the target electric automobile; correcting the charging willingness total value of the second pre-selected address parking lot according to the quantity change value of the target electric automobile to obtain a corrected charging willingness total value of the second pre-selected address parking lot;
and determining the number of the charging piles of the second pre-selected parking lot according to the corrected total charging willingness value of the second pre-selected parking lot.
8. An electric vehicle charging station site selection planning system, characterized in that it comprises a computer readable storage medium storing a computer program and a processor, which computer program, when read and run by the processor, implements the electric vehicle charging station site selection planning method according to any of claims 1-7.
9. A readable storage medium, wherein an electric vehicle charging station site selection planning program is stored on the readable storage medium, and when executed by a processor, the electric vehicle charging station site selection planning program implements the electric vehicle charging station site selection planning method according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311464459.2A CN117196265A (en) | 2023-11-07 | 2023-11-07 | Electric vehicle charging station site selection planning method, system and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311464459.2A CN117196265A (en) | 2023-11-07 | 2023-11-07 | Electric vehicle charging station site selection planning method, system and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117196265A true CN117196265A (en) | 2023-12-08 |
Family
ID=88992781
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311464459.2A Pending CN117196265A (en) | 2023-11-07 | 2023-11-07 | Electric vehicle charging station site selection planning method, system and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117196265A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105938514A (en) * | 2016-04-07 | 2016-09-14 | 浙江万马新能源有限公司 | Method for deployment and location selection of charging piles based on 0-1 integer programming model |
| CN113486262A (en) * | 2021-09-07 | 2021-10-08 | 深圳市光明顶照明科技有限公司 | Electric vehicle charging station site selection method, system and readable storage medium |
| CN115204712A (en) * | 2022-07-26 | 2022-10-18 | 中国气象局上海台风研究所(上海市气象科学研究所) | Offshore and coastal wind power plant site selection evaluation method |
| CN115271551A (en) * | 2022-09-26 | 2022-11-01 | 国网浙江省电力有限公司宁波供电公司 | Electric vehicle charging station site selection planning method and device |
-
2023
- 2023-11-07 CN CN202311464459.2A patent/CN117196265A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105938514A (en) * | 2016-04-07 | 2016-09-14 | 浙江万马新能源有限公司 | Method for deployment and location selection of charging piles based on 0-1 integer programming model |
| CN113486262A (en) * | 2021-09-07 | 2021-10-08 | 深圳市光明顶照明科技有限公司 | Electric vehicle charging station site selection method, system and readable storage medium |
| CN115204712A (en) * | 2022-07-26 | 2022-10-18 | 中国气象局上海台风研究所(上海市气象科学研究所) | Offshore and coastal wind power plant site selection evaluation method |
| CN115271551A (en) * | 2022-09-26 | 2022-11-01 | 国网浙江省电力有限公司宁波供电公司 | Electric vehicle charging station site selection planning method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108537391B (en) | Taxi stop station setting optimization method based on taxi track data | |
| CN109840640B (en) | Method and system for site selection of electric vehicle charging pile | |
| CN109800940B (en) | Charging pile site selection method and device | |
| CN112734124B (en) | Public parking lot point arrangement planning method based on supply-demand balance and optimal accessibility | |
| CN111932933B (en) | Urban intelligent parking space detection method and equipment and readable storage medium | |
| CN108062591A (en) | Electric vehicle charging load spatial and temporal distributions Forecasting Methodology | |
| CN113077085A (en) | Mobile charging car station planning method for serving electric car | |
| CN114692962A (en) | Charging infrastructure satisfaction degree evaluation method and system based on big data | |
| CN117196265A (en) | Electric vehicle charging station site selection planning method, system and readable storage medium | |
| CN116703132B (en) | Management method and device for dynamic scheduling of shared vehicles and computer equipment | |
| CN116653658A (en) | Charging control method and device for mobile charging pile, terminal and readable storage medium | |
| CN115938155A (en) | Intelligent detection method for roadside parking space | |
| CN114331633A (en) | Pairing method and device for shared parking, computer program product and electronic device | |
| CN114331138A (en) | Price adjusting method for charging pile | |
| CN113689185A (en) | Analog simulation scheduling method based on historical passenger flow analysis of urban public transport | |
| Xiaodi et al. | The method of charging piles planning in parking lot | |
| CN112785070A (en) | Load prediction method and device for parking and charging of electric automobile | |
| CN110738373A (en) | land traffic generation and distribution prediction method and system | |
| CN117787583A (en) | Parking lot charging berth calculating method and system based on demand side | |
| CN114691758B (en) | Blind spot parking lot garage problem diagnosis method, device and application | |
| CN115394087B (en) | Parking resource supply gap evaluation method | |
| CN117973817B (en) | Public charging infrastructure layout method for trunk highway network | |
| CN117173898B (en) | Method for extracting travel OD (optical density) based on parking lot flow data in time-division and destination-division manner | |
| CN112927058B (en) | Urban public bicycle leasing point layout and scheduling method based on user requirements | |
| CN116834594B (en) | Charging management method and device based on charging parking space, electronic equipment and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |