CN113505149A - Charging station recommendation method, server, medium and computer equipment - Google Patents
Charging station recommendation method, server, medium and computer equipment Download PDFInfo
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- CN113505149A CN113505149A CN202110826426.2A CN202110826426A CN113505149A CN 113505149 A CN113505149 A CN 113505149A CN 202110826426 A CN202110826426 A CN 202110826426A CN 113505149 A CN113505149 A CN 113505149A
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- 238000009826 distribution Methods 0.000 claims description 27
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- 230000004931 aggregating effect Effects 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 16
- 238000003860 storage Methods 0.000 claims description 7
- 238000010586 diagram Methods 0.000 description 12
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
- Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
Abstract
The invention provides a method, a server, a medium and a computer device for recommending a charging station, wherein the method comprises the following steps: determining each charging hot spot area and each vehicle gathering hot spot area; determining an overlapping area between each charging hot spot area and each vehicle gathering hot spot area, and eliminating charging stations in the overlapping area to obtain at least one target charging station; presenting the at least one target charging station to a user; so, get rid of the interference information in other words, recommend preferred charging station for the user, both can avoid taking place to block up and have sufficient charging pile to supply the user to select, consequently can improve user experience and recommend the matching degree, ensure charging efficiency.
Description
Technical Field
The invention belongs to the technical field of charging of new energy vehicles, and particularly relates to a method, a server, a medium and computer equipment for recommending a charging station.
Background
With the development of the technological level and the social progress, numerous types of new energy vehicles have appeared on the market, wherein, for example, pure electric vehicles, hybrid vehicles and the like exhibit blowout-type development.
The problem of charging has become the problem that the user paid more attention to, when needs charge to the car, can utilize the map in the APP to look for a function and look for corresponding electric pile that fills for the car, realize charging.
In the prior art, when charging piles are displayed on a map, as shown in fig. 1, the number of the remaining charging piles of the charging station is displayed on the map according to a corresponding scale, and when a user reduces the map, the number of the available piles in different administrative areas is combined into one bubble for display. However, the display method cannot accurately recommend proper charging stations for users with different requirements, and user experience is affected.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a method, a server, a medium and computer equipment for recommending a charging station, which are used for solving the technical problem that in the prior art, a proper charging station cannot be accurately recommended for a user, so that the user cannot timely charge a vehicle, and further the charging efficiency of the vehicle is influenced.
In a first aspect, the present invention provides a method of recommending charging stations, the method comprising:
determining each charging hot spot area and each vehicle gathering hot spot area;
determining overlapping areas between each charging hot spot area and each vehicle gathering hot spot area, and eliminating charging stations in the overlapping areas to obtain at least one target charging station;
displaying the at least one target charging station to a user.
Optionally, the determining each charging hot spot region includes:
determining each hot charging station based on the load rate of each charging station;
and aggregating all the hot spot charging stations in a preset range to form all the charging hot spot areas.
Optionally, the determining each hot spot charging station includes:
acquiring the actual load rate of each charging station at the current moment and the predicted load rate in a future time period;
determining each of the hot spot charging stations based on the actual load rate and/or the predicted load rate.
Optionally, the determining the vehicle aggregation hotspot areas includes:
obtaining the vehicle distribution density of each first vehicle gathering area; the first vehicle gathering area is an area formed by taking a reference landmark as a center and taking a first preset distance as a radius;
if the vehicle distribution density of the first vehicle gathering area is determined to be greater than the density threshold value, determining that the first vehicle gathering area is a vehicle gathering hot spot area.
Optionally, before aggregating each of the hot spot charging stations within the preset range, the method further includes:
determining an aggregation center, the aggregation center comprising: the hot spot charging station is arranged at a position, where the distance between the reference landmark and the hot spot charging station is smaller than a preset distance threshold;
and determining the preset range by taking the polymerization center as a circle center and a second preset distance as a radius.
Optionally, the displaying the at least one target charging station to the user includes:
for each target charging station, obtaining the number of available piles in the target charging station and the number of vehicles in a second vehicle gathering area; the second vehicle gathering area is an area formed by taking the target charging station as a center and taking a third preset distance as a radius;
determining a charging score for the target charging station based on the number of available piles and the number of vehicles;
in each administrative area, aggregating the target charging stations based on the charging scores and the distances among the target charging stations to form aggregated charging stations;
summing the number of available piles of each target charging station contained in the aggregation charging station to obtain the sum of the number of available charging piles;
and displaying the sum of the aggregation charging stations and the number of the available charging piles in the charging pile distribution map.
Optionally, the displaying the at least one target charging station to the user includes:
generating station prompt information based on the station information of the at least one target charging station and the available charging pile number of the at least one target charging station;
and pushing the site prompt information to a terminal corresponding to the user.
In a second aspect, the present invention provides a server, comprising:
the determining unit is used for determining each charging hot spot area and each vehicle gathering hot spot area;
the removing unit is used for determining the overlapping area between each charging hot spot area and each vehicle gathering hot spot area, removing the charging stations in the overlapping area and obtaining at least one target charging station;
a presentation unit for presenting the at least one target charging station to a user.
In a third aspect, the invention provides a storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any of the first aspects.
In a fourth aspect, the invention provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of the first aspects when executing the program.
The invention provides a method, a server, a medium and computer equipment for recommending a charging station, wherein the method comprises the following steps: determining each charging hot spot area and each vehicle gathering hot spot area; determining overlapping areas between each charging hot spot area and each vehicle gathering hot spot area, and eliminating charging stations in the overlapping areas to obtain at least one target charging station; displaying the at least one target charging station to a user; therefore, as the number of available piles in the charging hot spot area is small, if an area near a certain charging station is a vehicle gathering hot spot area, the user can go to the charging station and congestion is likely to occur; therefore, the overlapping area between the charging hot spot area and the vehicle gathering area is determined firstly, then the charging stations in the overlapping area are removed, namely the interference information is removed, the target charging station shown to the user is the preferred charging station, the user can avoid congestion when going to the target charging station, and enough charging piles are provided for the user to select, so that the user can be ensured to charge the vehicle in time, and the charging efficiency is further ensured.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic diagram illustrating a recommended manner of a charging station according to the prior art;
fig. 2 is a flowchart illustrating a method for recommending a charging station according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a server of a recommended charging station according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a computer device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a computer storage medium according to an embodiment of the present invention.
Detailed Description
In order to better understand the technical solutions, the technical solutions of the embodiments of the present specification are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features of the embodiments and embodiments of the present specification are detailed descriptions of the technical solutions of the embodiments of the present specification, and are not limitations of the technical solutions of the present specification, and the technical features of the embodiments and embodiments of the present specification may be combined with each other without conflict.
One or more embodiments of the invention disclose a method, a server, a medium and a computer device for recommending charging stations, so as to solve or partially solve the technical problem that in the prior art, a proper charging station cannot be accurately recommended for a user, so that the user cannot charge a vehicle in time, and further the charging efficiency of the vehicle is influenced.
The embodiment provides a method for recommending a charging station, which is applied to a server, wherein the server can be understood as a cloud server which assembles pile cloud platforms of a plurality of different manufacturers; therefore, charging station position information of different manufacturers and charging pile information in each charging station are gathered in the server. When the user needs to charge the vehicle, the user can search for the cardioscope power station through a charging pile distribution map on the terminal APP, and the server responds to the operation of the user and displays at least one target charging station for the user on the map.
The following describes a method for recommending a charging station in detail with reference to an embodiment, and as shown in fig. 2, the method includes:
s210, determining each charging hot spot area and each vehicle gathering hot spot area;
in order to facilitate vehicle charging, a user may register information through a terminal side APP in advance; the registration information may include: user information, identity information, account information, vehicle characteristic information, and the like. In order to ensure the reliability of charging, the charging is generally authenticated by real name, and then the user information may be a user name; the identity information is used for identifying the uniqueness of the user, for example, the identity information can be an identity card number; the account is for paying charging fees; the vehicle characteristic information may be: license plate number, vehicle identification number VIN code, vehicle color, vehicle type, etc.
When a user needs to charge a target vehicle, a proper charging station needs to be found to charge the vehicle. At this time, the user can execute the operation of sending the charging request from the terminal side APP, and then the server receives the charging request sent by the user and determines each charging hot spot area and each vehicle gathering hot spot area based on the charging request; wherein, the charging station in the hot spot charging region generally is that the load factor is higher, and the less charging station of surplus charging stake quantity.
In addition, if the target vehicle does not need to be charged, the user only wants to browse the map, the user may also send a browsing request (for example, perform a map reduction operation or a map enlargement operation) from the terminal APP, and the server may also determine each charging hot spot area and each vehicle aggregation hot spot area based on the browsing request, perform the subsequent operation, and display the operation result to the user.
In this embodiment, the determining, by the server, each charging hotspot area includes:
determining each hot charging station based on the load rate of each charging station;
and aggregating all the hot spot charging stations in the preset range to form all the charging hot spot areas.
In this embodiment, the server determines each hot charging station based on the load factor of each charging station, including:
acquiring the actual load rate of each charging station at the current moment and the predicted load rate in a future time period;
and determining each hot spot charging station based on the actual load rate and/or the predicted load rate.
Specifically, the server can obtain the charging station position information of different manufacturers and the charging pile information in each charging station, so that the actual load rate of each charging station can be determined according to the number of the used charging piles in each charging station at the current moment; the load factor is the ratio of the used number of the charging piles in the total number in the charging station.
And for each charging station, the server can predict the load rate of the current time in the future time period based on the pre-trained load rate prediction model to obtain the predicted load rate of each charging station in the current time in the future time period. Wherein the load rate prediction model may be trained based on the load rate over a historical period of time (such as one month prior to the current time). Wherein the future time period can be 20-30 min after the current time; alternatively, the predicted load rate is determined according to the following:
acquiring the distance between the target vehicle and each charging station, and determining the corresponding arrival time when the target vehicle arrives at each charging station according to the distance and the current time;
and predicting the load rate of each charging station at the arrival time to obtain the predicted load rate.
Further, if the actual load rate and/or the predicted load rate of the charging station exceed the load threshold, the charging station is determined to be a hot charging station; and if the actual load rate and the predicted load rate of the charging station are determined not to exceed the load threshold, determining that the charging station is a non-hotspot charging station.
For example, if the actual load rate is 0.88, the predicted load rate is 0.8, assuming that the load threshold is 0.85; at this time, it is determined that the actual load rate exceeds the load threshold, and the predicted load rate is smaller than the load threshold, so that the charging station can be determined as a hot charging station.
In addition, if a user wants to find a suitable charging station, the map needs to be enlarged or reduced on the map, and the charging pile service conditions of each charging station are checked one by one. And the available charging stake in the hot charging station is very few in fact, has caused certain interference for user's search process, leads to the unable suitable charging station of quick determination.
In order to improve the search efficiency of the user, the present embodiment considers that the usage conditions of the charging stations within a certain range are basically similar, and if a certain charging station a is a hot charging station, there is a high probability that the charging stations within a range near the certain charging station a are also hot charging stations. Therefore, in this embodiment, all the hot spot charging stations within the preset range are aggregated to form a charging hot spot area for displaying, so as to reduce interference information.
In this embodiment, before aggregating each hot spot charging station within the preset range, the method further includes:
determining an aggregation center, the aggregation center comprising: the hot spot charging station is arranged at a position, where the distance between the reference landmark and the hot spot charging station is smaller than a preset distance threshold; or a hot spot charging station with a load factor greater than a certain value (e.g., 90%).
And determining a preset range by taking the polymerization center as a circle center and the second preset distance as a radius.
The reference landmark can be a market, a station, a hospital, a government affair service center and the like; the second preset distance is 3-4 km.
After the preset range is determined, aggregating all the hot spot charging stations in the preset range to form a charging hot spot area. It can be understood that the charging hot spot area includes hot spot charging stations and also includes non-hot spot charging stations.
Meanwhile, in the embodiment, it is considered that if an area near a certain charging station is a vehicle gathering hotspot area, at this time, a user may be congested when traveling to the charging station, and the vehicle charging efficiency may also be reduced. Therefore, the present embodiment needs to further determine the vehicle concentration hotspot areas.
As an alternative embodiment, determining each vehicle focus hot spot area includes:
obtaining the vehicle distribution density of each first vehicle gathering area; the first vehicle gathering area is an area formed by taking a reference landmark as a center and taking a first preset distance as a radius; the first predetermined distance may be 0.5-1 km.
If the vehicle distribution density of the first vehicle gathering area is larger than the density threshold value, the first vehicle gathering area is determined to be a vehicle gathering hot spot area.
For example, if the vehicle distribution density of the first vehicle gathering area is 0.6 and the density threshold is 0.5, it may be determined that the first vehicle gathering area is the vehicle gathering hot spot area.
Here, the server acquiring the vehicle distribution density of each first vehicle aggregation area may include:
the server acquires the position of the reference landmark, determines the number of vehicles in the first vehicle gathering area based on the position of the reference landmark, and determines the vehicle distribution density based on the number of vehicles.
S211, determining overlapping areas among the charging hot spot areas and the vehicle gathering hot spot areas, and eliminating charging stations in the overlapping areas to obtain at least one target charging station;
after the charging hot spot areas and the vehicle gathering hot spot areas are determined, overlapping areas between the charging hot spot areas and the vehicle gathering hot spot areas are determined, charging stations in the overlapping areas are removed, and at least one target charging station is obtained.
Specifically, the charging hot spot area and the vehicle gathering hot spot area are areas with low charging efficiency, so that after the charging hot spot area and the vehicle gathering hot spot area are determined, charging stations in the overlapping area are removed without recommendation, that is, interference information is removed (for example, charging stations with a small number of charging piles are removed, charging stations with congestion are removed), and all charging stations subsequently recommended to a user are available charging stations with high charging efficiency, so that the vehicle charging efficiency is improved.
S212, displaying the at least one target charging station to a user.
And after the target charging stations are determined, displaying at least one target charging station for the user on the charging pile distribution map.
As an alternative embodiment, presenting at least one target charging station to a user includes:
for each target charging station, obtaining the number of available piles in the target charging station and the number of vehicles in the second vehicle gathering area; the second vehicle gathering area is an area formed by taking the target charging station as a center and taking a third preset distance as a radius; the third preset distance can be 0.5-1 km
Determining a charging score of the target charging station based on the number of available piles and the number of vehicles;
in each administrative area, aggregating all target charging stations based on the charging scores and the distances among all the target charging stations to form aggregated charging stations;
summing the number of available piles of each target charging station contained in the aggregation charging station to obtain the sum of the number of available charging piles;
and displaying the sum of the aggregation charging stations and the number of the available charging piles in a charging pile distribution map.
Wherein determining the number of vehicles in the second vehicle aggregation area comprises:
the server obtains a number of vehicles within the second vehicle aggregation area based on the location of each target charging station.
Specifically, after the number of available piles and the number of vehicles are determined for each target charging station, a ratio between the number of available piles and the number of vehicles is obtained, and the ratio is a charging score. And then, sequencing all target charging stations according to the charging scores, and aggregating at least two target charging stations with the charging scores being close (for example, the charging scores are different by 1-3) and the interval distance meeting the distance threshold value in the same administrative area to form an aggregation charging station. Wherein, the distance threshold value can be 1-2 km.
For example, if the determined target charging stations include a charging station a and a charging station B, the charging station a and the charging station B are in the same administrative area. The distance between the charging station A and the charging station B is 1.5 km; the charging score of the charging station A is 10 points, and the score of the charging station B is 8 points; at this time, the charging pile number a and the charging pile number B may be displayed in an aggregate manner in the charging pile distribution map, for example, the display position is selected between the charging pile number a and the charging pile number B, and the available pile numbers of the charging pile number a and the charging pile number B are summed and displayed.
As an alternative embodiment, presenting at least one target charging station to a user includes:
generating station prompt information based on the station information of at least one target charging station and the available charging pile number of at least one target charging station; the site information may include: information such as location information and charging price of a station;
and pushing the site prompt information to a terminal corresponding to the user.
Therefore, site information of the target charging stations and the number of available charging piles can be directly fed back to the user in a short message or instant messaging information mode, and the user can check specific conditions of each target charging station more intuitively.
According to the method for recommending the charging stations, the overlapping area between the charging hot spot area and the vehicle gathering area is determined, then the charging stations in the overlapping area are removed, which is equivalent to removing interference information (for example, removing the charging stations with a small number of charging piles, removing the charging stations with congestion, and the like), a target charging station recommended for a user on a charging pile distribution map is a preferred charging station, and the user can avoid congestion and has enough charging piles for the user to select when going to the target charging station, so that the user can be ensured to charge the vehicle in time, and further the charging efficiency is ensured; and a proper charging station can be pushed for the user according to the charging intention price of the user, so that the individual requirements of the user are met.
Based on the same inventive concept as the foregoing embodiment, an embodiment of the present invention further provides a server, as shown in fig. 3, where the server includes:
a determining unit 31, configured to determine each charging hot spot area and each vehicle aggregation hot spot area;
the removing unit 32 is configured to determine overlapping areas between each charging hot spot area and each vehicle aggregation hot spot area, remove charging stations in the overlapping areas, and obtain at least one target charging station;
a presentation unit 33 for presenting the at least one target charging station to a user.
The server in the embodiment can be understood as a cloud server which assembles a plurality of pile cloud platforms of different manufacturers; therefore, charging station position information of different manufacturers and charging pile information in each charging station are gathered in the server. When a user needs to charge a vehicle, the user can search and select a charging pile distribution map on the terminal APP, and the server responds to the operation of the user and displays at least one target charging station for the user on the map.
In order to facilitate vehicle charging, a user may register information through a terminal side APP in advance; the registration information may include: user information, identity information, account information, vehicle characteristic information, and the like. In order to ensure the reliability of charging, the charging is generally authenticated by real name, and then the user information may be a user name; the identity information is used for identifying the uniqueness of the user, for example, the identity information can be an identity card number; the account is for paying charging fees; the vehicle characteristic information may be: license plate number, vehicle identification number VIN code, vehicle color, vehicle type, etc.
When the user needs to charge the target vehicle, a proper charging station and a charging pile need to be searched for charging the vehicle. At this time, the user can execute the operation of sending the charging request from the terminal side APP, and then the server can determine each charging hotspot area and each vehicle gathering hotspot area based on the charging request; wherein, the charging station in the hot spot charging region generally is that the load factor is higher, and the less charging station of surplus charging stake quantity.
In addition, if the target vehicle does not need to be charged, the user only wants to browse the map, the user may also send a browsing request (for example, perform a map reduction operation or a map enlargement operation) from the terminal APP, and the server may also determine each charging hot spot area and each vehicle aggregation hot spot area based on the browsing request.
In this embodiment, the determining unit 31 is configured to:
determining each hot charging station based on the load rate of each charging station;
and aggregating all the hot spot charging stations in the preset range to form all the charging hot spot areas.
In this embodiment, the determining unit 31 is configured to:
acquiring the actual load rate of each charging station at the current moment and the predicted load rate in a future time period;
and determining each hot spot charging station based on the actual load rate and/or the predicted load rate.
Specifically, the server can obtain the charging station position information of different manufacturers and the charging pile information in each charging station, so that the actual load rate of each charging station can be determined according to the number of the used charging piles in each charging station at the current moment; the load factor is the ratio of the used number of the charging piles in the total number in the charging station.
And for each charging station, the server can predict the load rate of the current time in the future time period based on the pre-trained load rate prediction model to obtain the predicted load rate of each charging station in the current time in the future time period. Wherein the load rate prediction model may be trained based on the load rate over a historical period of time (such as one month prior to the current time). Wherein the future time period can be 20-30 min after the current time; alternatively, the determination unit 31 determines the predicted load amount according to:
acquiring the distance between the target vehicle and each charging station, and determining the corresponding arrival time when the target vehicle arrives at each charging station according to the distance and the current time;
and predicting the load capacity of each charging station at the arrival time to obtain the predicted load capacity.
Further, if the actual load rate and/or the predicted load rate of the charging station exceed the load threshold, the charging station is determined to be a hot charging station; and if the actual load rate and the predicted load rate of the charging station are determined not to exceed the load threshold, determining that the charging station is a non-hotspot charging station.
In order to improve the search efficiency of the user, the present embodiment considers that the usage conditions of the charging stations within a certain range are basically similar, and if a certain charging station a is a hot charging station, there is a high probability that the charging stations within a range near the certain charging station a are also hot charging stations. Therefore, in the embodiment, all the hot spot charging stations within the preset range are aggregated to form a charging hot spot area, so as to reduce interference information.
In this embodiment, before aggregating all hot spot charging stations within the preset range, the determining unit 31 is further configured to:
determining an aggregation center, the aggregation center comprising: the hot spot charging station is arranged at a position, where the distance between the reference landmark and the hot spot charging station is smaller than a preset distance threshold;
and determining a preset range by taking the polymerization center as a circle center and the second preset distance as a radius.
The reference landmark can be a market, a station, a hospital, a government affair service center and the like; the second preset distance is 3-4 km.
After the preset range is determined, aggregating all the hot spot charging stations in the preset range to form a charging hot spot area. It is understood that the charging hot spot area includes aggregation hot spot charging stations and non-hot spot charging stations.
Meanwhile, in the embodiment, it is considered that if an area near a certain charging station is a vehicle gathering hotspot area, at this time, a user may be congested when traveling to the charging station, and the vehicle charging efficiency may also be reduced. Therefore, the present embodiment needs to further determine the vehicle concentration hotspot areas.
As an alternative embodiment, the determining unit 31 is configured to:
obtaining the vehicle distribution density of each first vehicle gathering area; the first vehicle gathering area is an area formed by taking a reference landmark as a center and taking a first preset distance as a radius; the first predetermined distance may be 0.5-1 km.
If the vehicle distribution density of the first vehicle gathering area is larger than the density threshold value, the first vehicle gathering area is determined to be a vehicle gathering hot spot area.
For example, if the vehicle distribution density of the first vehicle gathering area is 0.6 and the density threshold is 0.5, it may be determined that the first vehicle gathering area is the vehicle gathering hot spot area.
Here, the server acquiring the vehicle distribution density of each first vehicle aggregation area may include:
the server acquires the position of the reference landmark, determines the number of vehicles in the first vehicle gathering area based on the position of the reference landmark, and determines the vehicle distribution density based on the number of vehicles.
After the charging hot spot areas and the vehicle gathering hot spot areas are determined, the removing unit 32 is configured to determine overlapping areas between each charging hot spot area and each vehicle gathering hot spot area, remove charging stations in the overlapping areas, and obtain at least one target charging station.
Specifically, the charging hot spot area and the vehicle gathering hot spot area are areas with low charging efficiency, so that after the charging hot spot area and the vehicle gathering hot spot area are determined, charging stations in the overlapping area are removed without recommendation, that is, interference information is removed (for example, charging stations with a small number of charging piles are removed, charging stations with congestion are removed), and all charging stations subsequently recommended to a user are available charging stations with high charging efficiency, so that the vehicle charging efficiency is improved.
After the target charging stations are determined, the display unit 33 is configured to display at least one target charging station for the user on the charging pile distribution map.
As an alternative embodiment, the display unit 33 is configured to:
for each target charging station, obtaining the number of available piles in the target charging station and the number of vehicles in the second vehicle gathering area; the second vehicle gathering area is an area formed by taking the target charging station as a center and taking a third preset distance as a radius; the first predetermined distance may be 0.5-1 km.
Determining a charging score of the target charging station based on the number of available piles and the number of vehicles;
in each administrative area, aggregating all target charging stations based on the charging scores and the distances among all the target charging stations to form aggregated charging stations;
summing the number of available piles of each target charging station contained in the aggregation charging station to obtain the sum of the number of available charging piles;
and displaying the sum of the aggregation charging stations and the number of the available charging piles in a charging pile distribution map.
In this embodiment, the display unit 33 may obtain the number of vehicles in the second vehicle gathering area based on the location of each target charging station.
Specifically, after the number of available piles and the number of vehicles are determined for each target charging station, a quotient between the number of available piles and the number of vehicles is obtained, and the quotient is a charging score. And then, sequencing all target charging stations according to the charging scores, and aggregating at least two target charging stations with the charging scores being close (for example, the charging scores are different by 1-3) and the interval distance meeting the distance threshold value in the same administrative area to form an aggregation charging station. Wherein, the distance threshold value can be 1-2 km.
For example, if the determined target charging stations include a charging station a and a charging station B, the charging station a and the charging station B are in the same administrative area. The distance between the charging station A and the charging station B is 1.5 km; the charging score of the charging station A is 10 points, and the score of the charging station B is 8 points; at this time, the charging stations A and the charging stations B can be aggregated in the charging pile distribution map.
As an alternative embodiment, the display unit 33 is configured to:
generating station prompt information based on the station information of at least one target charging station and the available charging pile number of at least one target charging station; the site information may include: information such as location information and charging price of a station;
and pushing the site prompt information to a terminal corresponding to the user.
Therefore, site information of the target charging stations and the number of available charging piles can be directly fed back to the user in a short message or instant messaging information mode, and the user can check specific conditions of each target charging station more intuitively.
According to the method for recommending the charging stations, the overlapping area between the charging hot spot area and the vehicle gathering area is determined, then the charging stations in the overlapping area are removed, which is equivalent to removing interference information (for example, removing the charging stations with a small number of charging piles, removing the charging stations with congestion, and the like), a target charging station recommended for a user on a charging pile distribution map is a preferred charging station, and the user can avoid congestion and has enough charging piles for the user to select when going to the target charging station, so that the user can be ensured to charge the vehicle in time, and further the charging efficiency is ensured; and a proper charging station can be pushed for the user according to the charging intention price of the user, so that the individual requirements of the user are met.
Based on the same inventive concept as the previous embodiment, the present embodiment provides a computer apparatus 400, as shown in fig. 4, including a memory 410, a processor 420, and a computer program 411 stored on the memory 410 and operable on the processor 420, wherein when the processor 420 executes the computer program 411, any one of the methods in the above embodiments is implemented.
Since the computer device described in this embodiment is a device used for implementing the method for recommending a charging station according to this embodiment of the present application, a person skilled in the art can understand the specific implementation manner of the computer device of this embodiment and its various modifications based on the methods described in the foregoing embodiments of the present application, and therefore, a detailed description of how to implement the method in this embodiment of the present application by the server is omitted here. The equipment used by those skilled in the art to implement the methods in the embodiments of the present application is within the scope of the present application.
Based on the same inventive concept as the previous embodiment, the present embodiment further provides a computer-readable storage medium 500, as shown in fig. 5, on which a computer program 511 is stored, and when the computer program 511 is executed by a processor, the computer program 511 can implement any of the previous embodiments.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The method, the server, the medium and the computer equipment for recommending the charging station provided by the invention have the beneficial effects that at least:
the invention provides a method, a server, a medium and computer equipment for recommending a charging station, wherein the method comprises the following steps: determining each charging hot spot area and each vehicle gathering hot spot area; determining an overlapping area between each charging hot spot area and a vehicle gathering hot spot area of each charging station, and eliminating the charging stations in the overlapping area to obtain at least one target charging station; displaying the at least one target charging station to a user; therefore, as the number of available piles in the charging hot spot area is small, if an area near a certain charging station is a vehicle gathering hot spot area, the user can go to the charging station and congestion is likely to occur; therefore, the overlapping area between the charging hot spot area and the vehicle gathering area is determined firstly, then the charging stations in the overlapping area are removed, namely the interference information is removed, the target charging station recommended for the user on the charging pile distribution map is a preferable charging station, and the user can avoid congestion and has enough charging piles for the user to select when going to the target charging station, so that the user can be ensured to charge the vehicle in time, and the charging efficiency is further ensured.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
The above description is only exemplary of the present invention and should not be taken as limiting the scope of the present invention, and any modifications, equivalents, improvements, etc. that are within the spirit and principle of the present invention should be included in the present invention.
Claims (10)
1. A method of recommending charging stations, the method comprising:
determining each charging hot spot area and each vehicle gathering hot spot area;
determining overlapping areas between each charging hot spot area and each vehicle gathering hot spot area, and eliminating charging stations in the overlapping areas to obtain at least one target charging station;
displaying the at least one target charging station to a user.
2. The method of claim 1, wherein the determining each charging hotspot zone comprises:
determining each hot charging station based on the load rate of each charging station;
and aggregating all the hot spot charging stations in a preset range to form all the charging hot spot areas.
3. The method of claim 2, wherein determining each hot spot charging station based on a load rate of each charging station comprises:
acquiring the actual load rate of each charging station at the current moment and the predicted load rate in a future time period;
determining each of the hot spot charging stations based on the actual load rate and/or the predicted load rate.
4. The method of claim 1, wherein the determining each vehicle focus hotspot area comprises:
obtaining the vehicle distribution density of each first vehicle gathering area; the first vehicle gathering area is an area formed by taking a reference landmark as a center and taking a first preset distance as a radius;
if the vehicle distribution density of the first vehicle gathering area is determined to be greater than the density threshold value, determining that the first vehicle gathering area is a vehicle gathering hot spot area.
5. The method of claim 2, wherein prior to aggregating each of the hot spot charging stations within the predetermined range, further comprising:
determining an aggregation center, the aggregation center comprising: the hot spot charging station is arranged at a position, where the distance between the reference landmark and the hot spot charging station is smaller than a preset distance threshold;
and determining the preset range by taking the polymerization center as a circle center and a second preset distance as a radius.
6. The method of claim 1, wherein the presenting the at least one target charging station to a user comprises:
for each target charging station, obtaining the number of available piles in the target charging station and the number of vehicles in a second vehicle gathering area; the second vehicle gathering area is an area formed by taking the target charging station as a center and taking a third preset distance as a radius;
determining a charging score for the target charging station based on the number of available piles and the number of vehicles;
in each administrative area, aggregating the target charging stations based on the charging scores and the distances among the target charging stations to form aggregated charging stations;
summing the number of available piles of each target charging station contained in the aggregation charging station to obtain the sum of the number of available charging piles;
and displaying the sum of the aggregation charging stations and the number of the available charging piles in the charging pile distribution map.
7. The method of claim 1, wherein the presenting the at least one target charging station to a user comprises:
generating station prompt information based on the station information of the at least one target charging station and the available charging pile number of the at least one target charging station;
and pushing the site prompt information to a terminal corresponding to the user.
8. A server, characterized in that the server comprises:
the determining unit is used for determining each charging hot spot area and each vehicle gathering hot spot area;
the removing unit is used for determining the overlapping area between each charging hot spot area and each vehicle gathering hot spot area, removing the charging stations in the overlapping area and obtaining at least one target charging station;
a presentation unit for presenting the at least one target charging station to a user.
9. A storage medium on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 7.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 7 when executing the program.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115660223A (en) * | 2022-12-12 | 2023-01-31 | 佛山隆深机器人有限公司 | Big data based hydrogenation scheduling system and method |
| WO2023125608A1 (en) * | 2021-12-30 | 2023-07-06 | 奥动新能源汽车科技有限公司 | Map display method and system for battery swapping station, electronic device, and storage medium |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013053394A1 (en) * | 2011-10-13 | 2013-04-18 | Nokia Siemens Networks Oy | Method and device for determining a position for a charging station |
| US20140156108A1 (en) * | 2011-07-22 | 2014-06-05 | Audi Ag | Method for assisting a person in planning a journey with an electric vehicle, and motor vehicle having a navigation device |
| US20160275400A1 (en) * | 2015-03-19 | 2016-09-22 | Microsoft Technology Licensing, Llc | Device Charging Discovery Service |
| WO2017185832A1 (en) * | 2016-04-27 | 2017-11-02 | Beijing Didi Infinity Technology And Development Co., Ltd. | System and method for determining routes of transportation service |
| CN108199100A (en) * | 2018-01-08 | 2018-06-22 | 哈尔滨工程大学 | The long-distance operation charging planing method of electric vehicle in intelligent transportation |
| US20180233054A1 (en) * | 2014-10-03 | 2018-08-16 | Infinium Robotics Pte Ltd | Method and apparatus for controlling agent movement in an operating space |
| CN109146129A (en) * | 2018-07-03 | 2019-01-04 | 蔚来汽车有限公司 | Charging pile group recommended method can use stake prediction, result acquisition methods and controller |
| US20190381908A1 (en) * | 2019-07-29 | 2019-12-19 | Lg Electronics Inc. | Electric vehicle charging system and operation method thereof |
| CN111179506A (en) * | 2018-11-09 | 2020-05-19 | 上海仪电（集团）有限公司中央研究院 | Shared charging pile self-service charging system and shared charging pile recommendation method |
| CN111429014A (en) * | 2020-03-30 | 2020-07-17 | 南京邮电大学 | Electric vehicle charging station selection method based on double-queue dynamic pricing model |
| CN112319299A (en) * | 2020-10-09 | 2021-02-05 | 合肥阳光新能源科技有限公司 | Charging station determination method, determination device, processor and charging system |
| JP2021018608A (en) * | 2019-07-19 | 2021-02-15 | 株式会社東芝 | Aggregation system, aggregation apparatus, and aggregation method |
| CN112381313A (en) * | 2020-11-23 | 2021-02-19 | 国网北京市电力公司 | Charging pile address determination method and device |
| CN112398895A (en) * | 2019-08-19 | 2021-02-23 | 阿里巴巴集团控股有限公司 | Method and device for providing service information |
| KR102259675B1 (en) * | 2020-01-17 | 2021-06-01 | 한전케이디엔주식회사 | System and method for recommending optimal location of electric vehicle charging station |
-
2021
- 2021-07-21 CN CN202110826426.2A patent/CN113505149A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140156108A1 (en) * | 2011-07-22 | 2014-06-05 | Audi Ag | Method for assisting a person in planning a journey with an electric vehicle, and motor vehicle having a navigation device |
| WO2013053394A1 (en) * | 2011-10-13 | 2013-04-18 | Nokia Siemens Networks Oy | Method and device for determining a position for a charging station |
| US20180233054A1 (en) * | 2014-10-03 | 2018-08-16 | Infinium Robotics Pte Ltd | Method and apparatus for controlling agent movement in an operating space |
| US20160275400A1 (en) * | 2015-03-19 | 2016-09-22 | Microsoft Technology Licensing, Llc | Device Charging Discovery Service |
| WO2017185832A1 (en) * | 2016-04-27 | 2017-11-02 | Beijing Didi Infinity Technology And Development Co., Ltd. | System and method for determining routes of transportation service |
| CN108199100A (en) * | 2018-01-08 | 2018-06-22 | 哈尔滨工程大学 | The long-distance operation charging planing method of electric vehicle in intelligent transportation |
| CN109146129A (en) * | 2018-07-03 | 2019-01-04 | 蔚来汽车有限公司 | Charging pile group recommended method can use stake prediction, result acquisition methods and controller |
| CN111179506A (en) * | 2018-11-09 | 2020-05-19 | 上海仪电（集团）有限公司中央研究院 | Shared charging pile self-service charging system and shared charging pile recommendation method |
| JP2021018608A (en) * | 2019-07-19 | 2021-02-15 | 株式会社東芝 | Aggregation system, aggregation apparatus, and aggregation method |
| US20190381908A1 (en) * | 2019-07-29 | 2019-12-19 | Lg Electronics Inc. | Electric vehicle charging system and operation method thereof |
| CN112398895A (en) * | 2019-08-19 | 2021-02-23 | 阿里巴巴集团控股有限公司 | Method and device for providing service information |
| KR102259675B1 (en) * | 2020-01-17 | 2021-06-01 | 한전케이디엔주식회사 | System and method for recommending optimal location of electric vehicle charging station |
| CN111429014A (en) * | 2020-03-30 | 2020-07-17 | 南京邮电大学 | Electric vehicle charging station selection method based on double-queue dynamic pricing model |
| CN112319299A (en) * | 2020-10-09 | 2021-02-05 | 合肥阳光新能源科技有限公司 | Charging station determination method, determination device, processor and charging system |
| CN112381313A (en) * | 2020-11-23 | 2021-02-19 | 国网北京市电力公司 | Charging pile address determination method and device |
Non-Patent Citations (6)
| Title |
|---|
| ISURU VIDANALAGE 等: "Scheduling of Merchant-Owned EV Charging at a Charging Facility with Multiple Chargers", 2018 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC), pages 1 - 6 * |
| OSULIVAN: "几个常用找充电桩APP对比评测", pages 1, Retrieved from the Internet <URL:https://zhuanlan.zhihu.com/p/359961091> * |
| 严弈遥 等: "融合电网和交通网信息的电动车辆最优充电路径推荐策略", 中国电机工程学报, no. 02, pages 310 - 318 * |
| 张书玮;冯桂璇;樊月珍;万爽;罗禹贡;: "基于信息交互的大规模电动汽车充电路径规划", 清华大学学报(自然科学版), no. 03, pages 279 - 285 * |
| 罗禹贡;严弈遥;朱陶;李克强;: "智能电动车辆最优充电路径规划方法", 工程研究-跨学科视野中的工程, no. 01, pages 92 - 98 * |
| 陈姝敏 等: "基于电动汽车充电价格机制的配电网调峰方法", 云南电力技术, no. 03, pages 93 - 97 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023125608A1 (en) * | 2021-12-30 | 2023-07-06 | 奥动新能源汽车科技有限公司 | Map display method and system for battery swapping station, electronic device, and storage medium |
| CN115660223A (en) * | 2022-12-12 | 2023-01-31 | 佛山隆深机器人有限公司 | Big data based hydrogenation scheduling system and method |
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