Charging station position determination method and device, electronic equipment and storage medium

Abstract

The application provides a charging station position determination method and device, electronic equipment and a storage medium. The method comprises the following steps: in response to a selected site selection range in an interactive interface, performing regional division on the site selection range to obtain a candidate region; querying positioning information of a vehicle in the site selection range and charging monitoring data of a built charging station in the candidate region; determining charging demand parameters of the vehicle in the candidate region according to the positioning information of the vehicle; determining charging supply parameters of the candidate region according to the charging monitoring data of the built charging station in the candidate region; and performing classification processing on the candidate region according to the charging demand parameters and the charging supply parameters, so as to display a type label of the candidate region on the interactive interface. In this way, the type label of the candidate region is displayed on the interactive interface, the site selection of the charging station position is considered from the perspective of whether the charging supply and demand of the charging station in the candidate region are balanced, and the utilization efficiency of the charging gun in the subsequently selected charging station is improved.

Description

Technical Field

[0001] This application relates to the field of charging station location determination technology, and in particular to a charging station location determination method, device, electronic device and storage medium. Background Technology

[0002] With the increasing number of electric vehicles, the demand for charging is growing, necessitating the construction of more charging stations. The selected area contains many existing charging stations, and the efficiency of charging guns varies across different areas. Therefore, selecting suitable locations within the selected area to build charging stations is crucial.

[0003] In related technologies, the planning of electric vehicle charging station locations usually involves constructing an electric vehicle charging station planning model to determine the charging station with the lowest required cost, and then determining the location of the charging station. However, charging stations built at locations obtained in this way cannot effectively meet the charging supply requirements of the area and are also affected by other charging stations in the area. The location of the charging station determined in this way results in the charging guns within the charging station not being used well, thus causing a waste of resources. Summary of the Invention

[0004] This application aims to at least partially address one of the technical problems in the related art.

[0005] Therefore, the first objective of this application is to propose a method for determining the location of charging stations. This method considers the location of charging stations from the perspective of whether the charging supply and demand of charging stations in the candidate areas are balanced by using the charging supply parameters and charging demand parameters of vehicles in the candidate areas. This results in the type of candidate area, which is further divided into candidate areas within the selection range. Then, by displaying the type label of the candidate area on the interactive interface, a suitable location for a charging station is determined within the selection range to determine whether the location of the charging station determined within the area is reasonable.

[0006] The second objective of this application is to provide a charging station location determination device.

[0007] The third objective of this application is to propose an electronic device.

[0008] The fourth objective of this application is to provide a computer-readable storage medium.

[0009] The fifth objective of this application is to provide a computer program product.

[0010] To achieve the above objectives, a first aspect of this application proposes a method for determining the location of a charging station, comprising: in response to a selected location range on an interactive interface, dividing the selected location range into regions to obtain candidate regions; querying the location information of vehicles within the selected location range and the charging monitoring data of existing charging stations within the candidate regions; determining the charging demand parameters of the vehicles in the candidate regions based on the vehicle location information; determining the charging supply parameters of the candidate regions based on the charging monitoring data of existing charging stations within the candidate regions; and classifying the candidate regions according to the charging demand parameters and the charging supply parameters to display type labels of the candidate regions on the interactive interface, wherein the type labels are used for charging station location selection.

[0011] To achieve the above objectives, a second aspect of this application provides a charging station location determination device, comprising: a division unit configured to, in response to a selected location range on an interactive interface, divide the selected location range into regions to obtain candidate regions; a query unit configured to query the location information of vehicles within the selected location range and the charging monitoring data of existing charging stations within the candidate regions; a first determination unit configured to determine the charging demand parameters of the vehicles in the candidate regions based on the vehicle location information; a second determination unit configured to determine the charging supply parameters of the candidate regions based on the charging monitoring data of existing charging stations within the candidate regions; and a classification unit configured to classify the candidate regions according to the charging demand parameters and the charging supply parameters, so as to display type labels of the candidate regions on the interactive interface, wherein the type labels are used for charging station location selection.

[0012] To achieve the above objectives, a third aspect of this application provides an electronic device, comprising: at least one processing unit; and

[0013] At least one memory is coupled to the at least one processing unit and stores instructions for execution by the at least one processing unit, which, when executed by the at least one processing unit, cause the electronic device to perform the charging station location determination method described above.

[0014] To achieve the above objectives, a fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, characterized in that the computer program can be executed by a processor to implement the above-described charging station location determination method.

[0015] To achieve the above objectives, a fifth aspect of this application provides a computer program product comprising computer-executable instructions that, when executed by a processor, implement the above-described charging station location determination method.

[0016] The charging station location determination method, apparatus, electronic device, and storage medium provided in this application, in response to a selected location range on an interactive interface, divide the location range into regions to obtain candidate regions; query the location information of vehicles within the location range and the charging monitoring data of existing charging stations within the candidate regions; determine the charging demand parameters of vehicles in the candidate regions based on the vehicle location information; determine the charging supply parameters of the candidate regions based on the charging monitoring data of existing charging stations within the candidate regions; classify the candidate regions based on the charging demand parameters and charging supply parameters, and display type labels for the candidate regions on the interactive interface. These type labels are used for charging station location processing. Thus, by considering whether the charging supply and demand of charging stations within the candidate regions are balanced based on the charging supply and demand parameters of vehicles in the candidate regions, the location of the charging station is determined, thereby obtaining the type of candidate region. The candidate regions within the location range are further divided, and by displaying the type labels of the candidate regions on the interactive interface, suitable charging station locations are determined within the location range, thereby improving the utilization efficiency of charging guns in subsequently selected charging stations.

[0017] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0018] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0019] Figure 1 A flowchart illustrating a method for determining the location of a charging station provided in an embodiment of this application. Figure 1 ;

[0020] Figure 2 A flowchart illustrating a method for determining the location of a charging station provided in an embodiment of this application. Figure 2 ;

[0021] Figure 3 A flowchart illustrating a method for determining the location of a charging station provided in an embodiment of this application. Figure 3 ;

[0022] Figure 4 A schematic diagram of the framework corresponding to the candidate region type label classification process provided in the embodiments of this application;

[0023] Figure 5 This is a schematic diagram of the charging station location determination device provided in the embodiments of this application;

[0024] Figure 6 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0025] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0026] Currently, the common approach in related technologies is to construct an electric vehicle charging station planning model to determine the charging station with the lowest required cost, and then determine the location of the charging station. However, this method has the following problems:

[0027] 1. The calculation only considers cost and does not take into account the actual market demand in the area where the location is located, or the balance between charging supply and demand at the charging station.

[0028] 2. This method generally yields relatively detailed locations, but in reality, there may be other charging stations in the area where these locations are located, or the area may not be suitable for building charging stations, which can easily lead to investment losses.

[0029] The following description, with reference to the accompanying drawings, describes a method, apparatus, electronic device, and storage medium for determining the location of a charging station according to embodiments of this application.

[0030] Figure 1 A flowchart illustrating a method for determining the location of a charging station provided in an embodiment of this application. Figure 1 .

[0031] This application example illustrates the use of the charging station location determination method configured in a charging station location determination device. This charging station location determination device can be applied to any electronic device so that the electronic device can perform the charging station location determination function.

[0032] Among them, electronic devices can be any device with computing capabilities, such as personal computers, mobile terminals, servers (or cloud computing), etc. Mobile terminals can be hardware devices with various operating systems, touch screens and / or displays, such as in-vehicle devices, mobile phones, tablets, personal digital assistants, wearable devices, etc.

[0033] like Figure 1 As shown, the method for determining the location of the charging station includes the following steps:

[0034] Step 101: In response to the location range selected in the interactive interface, the location range is divided into regions to obtain candidate regions.

[0035] For example, the interactive interface can be a graphical configuration interface, allowing users to select a location range by checking boxes or dragging and dropping.

[0036] It should be noted that the specific range of the site selection area can be selected according to actual needs. This embodiment does not make specific limitations. The determined site selection area is the entire range of the charging station to be selected that can be considered for site selection.

[0037] It is understood that the candidate area can be any area within the site selection range.

[0038] It is important to understand that the determined site selection area is usually not regular, and the actual geographical environment within the site selection area is also quite complex. These factors will affect the operation of dividing the site selection area into regions. However, a reasonable division of regions not only needs to cover the entire site selection area, but will also further affect the candidate areas obtained.

[0039] For example, in order to achieve a reasonable division of the site selection area, as a possible implementation method, the site selection area is divided into grids to obtain multiple grid areas corresponding to the site selection area, and the grid areas are used as candidate areas.

[0040] As an example, the center point of the selected area is obtained. Starting from the center point of the selected area, the selected area is divided into grids by breadth-first traversal with a set separation distance until the selected area is covered, so as to obtain multiple grid areas. The grid areas are used as candidate areas.

[0041] Step 102: Query the location information of vehicles within the selected area, as well as the charging monitoring data of existing charging stations within the candidate area.

[0042] It is understandable that existing charging stations can be divided into two types: directly operated charging stations and non-directly operated charging stations.

[0043] It is important to understand that the actual conditions of vehicles within different site selection ranges vary. Even within the same site selection range, the actual conditions of vehicles in different areas also differ. This can affect the rationality of the supply and demand of charging at the selected charging station locations within the area, and consequently affect the utilization efficiency of the charging guns at the selected charging stations in the chosen area.

[0044] It is understood that the charging monitoring data of existing charging stations within the candidate area can be determined from the existing charging operation data of the existing charging stations, which will not be elaborated further in this embodiment.

[0045] It is understood that the vehicle's location information can be determined from a positioning device connected to the vehicle or from a positioning program, which will not be elaborated further in this embodiment.

[0046] Step 103: Determine the charging demand parameters of the vehicle in the candidate area based on the vehicle's location information.

[0047] It is understandable that the charging demand parameter includes: the number of demand orders for charging in the candidate area per unit time.

[0048] It should be noted that the unit time is used to represent the set time period. The specific time period value is determined according to the actual situation. This embodiment does not limit it. For example, 1 day or 7 days.

[0049] Step 104: Determine the charging supply parameters of the candidate area based on the charging monitoring data of the existing charging stations in the candidate area.

[0050] It should be noted that the charging supply parameters include: charging gun utilization efficiency, number of charging guns, and order share ratio. Charging gun utilization efficiency refers to the utilization efficiency of charging guns in the candidate area belonging to the set target object. The number of charging guns refers to the number of charging guns in the candidate area that do not belong to the target object. The order share ratio refers to the order share ratio of the candidate area that belongs to the target object.

[0051] It should be noted that the target object can be anyone interested in the location of a charging station, and this embodiment does not impose any specific limitations. For example, it could be anyone operating a directly managed charging station.

[0052] In order to accurately obtain the order share of the target object's existing charging stations in the candidate area, as a possible implementation method, the order share of the target object in the candidate area is determined based on the charging monitoring data of the target object's existing charging stations in the candidate area.

[0053] As an example, for the existing charging stations belonging to the target object in the candidate area, the actual number of orders is determined from the charging monitoring data. Based on the actual number of orders and the actual total number of orders of the existing charging stations in the candidate area, the order share of the target object in the candidate area is calculated.

[0054] Step 105: Based on the charging demand parameters and charging supply parameters, the candidate areas are classified and processed to display the type labels of the candidate areas on the interactive interface; wherein, the type labels are used for the site selection of charging stations.

[0055] It should be noted that the type labels of the candidate areas can be displayed on the interactive interface in the form of prompts or annotations.

[0056] It is understandable that different candidate area type labels will have different effects on the site selection of charging stations.

[0057] In order to obtain the various existing area type labels and determine the type labels of different areas for the effect of charging station site selection, as a possible implementation method, the type labels of historical areas are determined based on the historical site selection range and multiple historical areas within the historical site selection range.

[0058] As an example, the historical site selection range and multiple historical areas within the historical site selection range are obtained. For each historical area, the type label of the historical area is determined based on the site selection effect of building charging stations in the historical area. Based on the type label of the historical area, multiple area type labels are determined.

[0059] For example, the type labels for a region can be divided into region type labels for suitable construction of charging stations, region type labels for site review, region type labels for priority share, region type labels for saturated charging stations, and region type labels for blank areas with potential for charging station construction.

[0060] The charging station location determination method provided in this application, in response to a selected location range on an interactive interface, divides the location range into regions to obtain candidate regions; queries the location information of vehicles within the location range and the charging monitoring data of existing charging stations within the candidate regions; determines the charging demand parameters of vehicles in the candidate regions based on the vehicle location information; determines the charging supply parameters of the candidate regions based on the charging monitoring data of existing charging stations within the candidate regions; and classifies the candidate regions according to the charging demand parameters and charging supply parameters, displaying type labels for the candidate regions on the interactive interface. These type labels are used for charging station location selection. Thus, by considering whether the charging supply and demand of charging stations within the candidate regions are balanced based on the charging supply and demand parameters of vehicles in the candidate regions, the method obtains the type of candidate region, further divides the candidate regions within the location range, and then determines suitable charging station locations within the location range by displaying type labels for the candidate regions on the interactive interface, thereby improving the utilization efficiency of charging guns in subsequently selected charging stations.

[0061] Based on the above embodiments, in order to clearly understand how to determine the charging supply parameters of a candidate area based on the charging monitoring data of existing charging stations within the candidate area, the following will be combined with... Figure 2 The method of this embodiment will be further described exemplarily.

[0062] Figure 2 The flowchart of a charging station location determination method provided in the embodiments of this application Figure 2 .

[0063] Step 201: In response to the location range selected in the interactive interface, the location range is divided into regions to obtain candidate regions.

[0064] Step 202: Query the location information of vehicles within the selected area, as well as the charging monitoring data of existing charging stations within the candidate area.

[0065] It should be noted that the execution process of steps 201 and 202 can be implemented in any of the embodiments of this application. The embodiments of this application do not limit this, nor will they be described in detail.

[0066] Step 203: Based on at least one of the vehicle's location information, including charging location, idle location, order start point location, and end point location, predict the probability of the vehicle charging within the candidate area.

[0067] To accurately determine the charging probability of a vehicle charging within a candidate area, one possible implementation involves weighting the proportion of charging stops within the candidate area, the proportion of permanent locations within the candidate area, and the proportions of order start and end points within the candidate area to obtain the charging probability of a vehicle charging within the candidate area.

[0068] As an example, the following data is obtained: charging stop locations of vehicles within candidate areas, charging stop locations of vehicles within selected locations, vehicle's permanent locations within candidate areas, vehicle's order start and end locations within candidate areas, and vehicle's order start and end locations within candidate areas. The charging probability of a vehicle being charged within a candidate area is obtained by weighting the percentages of charging stop locations within candidate areas, permanent locations within candidate areas, and order start and end locations within candidate areas.

[0069] It should be noted that the percentage of charging stops within the candidate area is the ratio of charging stops within the candidate area to charging stops within the selected area; the percentage of permanent locations within the candidate area is the ratio of permanent locations within the candidate area to permanent locations within the candidate area; and the percentage of order origin and destination locations within the candidate area is the ratio of order origin and destination locations within the candidate area to order origin and destination locations within the candidate area.

[0070] For example, the charging probability of a vehicle being charged within a candidate area can be expressed by the formula: Charging probability of a vehicle being charged within a candidate area = Coefficient a * (Percentage of charging locations within the candidate area) + Coefficient b * (Percentage of permanent locations within the candidate area) + Coefficient c * (Percentage of order start and end locations within the candidate area).

[0071] It should be noted that the sum of coefficients a, b, and c is 1. The specific values ​​of coefficients a, b, and c are determined according to the actual situation, and are not limited in this embodiment.

[0072] Step 204: Determine the charging demand parameters of the vehicle in the candidate area based on the charging probability.

[0073] The charging demand parameter includes the number of demand orders for charging in the candidate area per unit time.

[0074] To accurately determine the charging demand parameters of vehicles in the candidate area, as a possible implementation method, the demand order volume for charging in the candidate area per unit time is determined by the charging probability, the number of vehicles within the selected area, and the statistical value of the number of times a single vehicle charges per unit time.

[0075] As an example, the total demand order volume within the selected area is determined based on the number of vehicles within the selected area and the statistical value of the number of times a single vehicle charges within a unit of time; the demand order volume for charging in the candidate area is predicted based on the charging probability and the total demand order volume.

[0076] It should be noted that the unit time is used to represent the set time period. The specific time period value is determined according to the actual situation. This embodiment does not limit it. For example, 1 day or 7 days.

[0077] It should be noted that the charging count of a single vehicle within a unit of time can be the charging count of any vehicle within the selected location within a unit of time.

[0078] For example, the total demand order volume within the selected location area per unit time can be expressed by the formula: Total demand order volume within the selected location area per unit time = Number of vehicles within the selected location area * Statistical value of the number of times a single vehicle charges per unit time. The demand order volume for charging in the candidate area per unit time can be expressed by the formula: Demand order volume for charging in the candidate area per unit time = Charging probability * Total demand order volume within the selected location area per unit time.

[0079] Step 205: Determine the charging supply parameters of the candidate area based on the charging monitoring data of the existing charging stations in the candidate area.

[0080] Step 206: Based on the charging demand parameters and charging supply parameters, the candidate areas are classified and processed to display the type labels of the candidate areas on the interactive interface; wherein, the type labels are used for the site selection of charging stations.

[0081] It should be noted that the execution processes of steps 205 and 206 can be implemented in any of the embodiments of this application. The embodiments of this application do not limit this, nor will they be described in detail.

[0082] In this embodiment, based on at least one of the vehicle's location information, including its charging stop location, idle location, order start location, and end location, the probability of the vehicle charging within a candidate area is predicted. Based on the charging probability, the charging demand parameters of the vehicle in the candidate area are determined. Thus, the charging demand parameters are determined using the vehicle's location information and the charging probability. The charging demand parameters include the number of orders for charging in the candidate area per unit time, so that the charging demand of charging stations in the candidate area can be considered based on the charging demand parameters to improve the utilization efficiency of charging guns in the subsequently selected charging stations.

[0083] Based on the above embodiments, in order to clearly understand how candidate areas are classified according to charging demand parameters and charging supply parameters, and to display type labels of candidate areas on the interactive interface; wherein, the type labels are used for charging station site selection, the following will be combined with Figure 3 The method of this embodiment will be further described exemplarily.

[0084] Figure 3 The flowchart of a charging station location determination method provided in the embodiments of this application Figure 3 .

[0085] Step 301: In response to the location range selected in the interactive interface, the location range is divided into regions to obtain candidate regions.

[0086] Step 302: Query the location information of vehicles within the selected area, as well as the charging monitoring data of existing charging stations within the candidate area.

[0087] Step 303: Determine the charging demand parameters of the vehicle in the candidate area based on the vehicle's location information.

[0088] Step 304: Determine the charging supply parameters of the candidate area based on the charging monitoring data of the existing charging stations in the candidate area.

[0089] It should be noted that the execution process of steps 301 to 304 can be implemented in any of the embodiments of this application. The embodiments of this application do not limit this, nor will they be described in detail.

[0090] Step 305: Compare the demand order quantity (including the charging demand parameter) and the charging gun utilization efficiency (including the charging supply parameter) with the corresponding first threshold.

[0091] In some examples, before comparing the demand order volume and charging gun usage efficiency with the corresponding first threshold, the method further includes: comparing the order share percentage included in the charging supply parameters with a set second threshold; if the order share percentage is less than or equal to the second threshold, obtaining the first threshold to perform the step of comparing the demand order volume and charging gun usage efficiency with the corresponding first threshold; if the order share percentage is greater than the second threshold, determining that the candidate region belongs to the third region type label.

[0092] It should be noted that the specific values ​​of the first threshold and the second threshold are determined according to the actual situation, and this embodiment does not impose specific limitations.

[0093] For example, based on the historical comparison of order share percentage with the second threshold, it was found that when the second threshold is 50%, it can be clearly distinguished that when the order share percentage is greater than 50%, the effect of charging station site selection in the historical candidate area belongs to the third area type label. Therefore, 50% can be set as the second threshold on the charging station location determination device.

[0094] Step 306: If either the demand order quantity or the charging gun usage efficiency is greater than the corresponding first threshold, compare the charging gun usage efficiency statistics and the charging gun usage efficiency within the selected area.

[0095] It should be noted that the specific values ​​of the charging gun usage efficiency statistics within the selected site area are determined based on existing technology and experience, and this embodiment does not impose specific limitations.

[0096] In this example, if both the demand order volume and the charging gun usage efficiency are less than or equal to the corresponding first threshold, the candidate region is determined to belong to the fourth region type label.

[0097] In this example, when both the demand order volume and the charging gun utilization efficiency are less than or equal to the corresponding first threshold, the method further includes: obtaining a third threshold to perform a step of comparing the number of charging guns of the built charging stations in the candidate area that are not attributed to the target object with the third threshold; and determining that the candidate area belongs to the fourth area type label when the number of charging guns of the built charging stations in the candidate area that are not attributed to the target object is less than the third threshold.

[0098] It should be noted that the specific value of the third threshold is determined according to the actual situation, and this embodiment does not impose any specific limitations.

[0099] In this example, before comparing the charging gun usage efficiency statistics within the selected area with the charging gun usage efficiency, the method further includes: if there are existing charging stations belonging to the target object in the candidate area, comparing the charging gun usage efficiency statistics within the selected area with the charging gun usage efficiency.

[0100] In this example, before comparing the charging gun usage efficiency statistics and the charging gun usage efficiency within the selected area, the method further includes: if there are no existing charging stations belonging to the target object in the candidate area, determining that the candidate area belongs to the fifth area type label.

[0101] Step 307: Classify the charging guns based on the statistical values ​​of their usage efficiency within the selected area and the relationship between their usage efficiency and the actual usage efficiency.

[0102] In some examples, if the charging gun usage efficiency is greater than the charging gun usage efficiency statistics, the candidate region is determined to belong to the first region type label; if the charging gun usage efficiency is less than or equal to the charging gun usage efficiency statistics, the candidate region is determined to belong to the second region type label.

[0103] It should be noted that the site selection effect of charging stations in the candidate areas to which the first area type label belongs is better than that of the third area type label; the site selection effect of charging stations in the candidate areas to which the third area type label belongs is better than that of the second area type label; the site selection effect of charging stations in the candidate areas to which the first area type label belongs is better than that of the fourth area type label; the site selection effect of charging stations in the candidate areas to which the fourth area type label belongs is better than that of the second area type label; the site selection effect of charging stations in the candidate areas to which the first area type label belongs is better than that of the fifth area type label; and the site selection effect of charging stations in the candidate areas to which the fifth area type label belongs is better than that of the second area type label.

[0104] For example, candidate area type labels can be divided into candidate area type labels for suitable construction of charging stations, candidate area type labels for site review, candidate area type labels for priority of market share, candidate area type labels for charging station saturation, and candidate area type labels for blank areas with potential for charging station construction. Based on the priority of the operational effectiveness of candidate area type labels, the first area type label can be used as a candidate area type label for suitable construction of charging stations, the second area type label can be used as a candidate area type label for site review, the third area type label can be used as a candidate area type label for priority of market share, the fourth area type label can be used as a candidate area type label for charging station saturation, and the fifth area type label can be used as a candidate area type label for blank areas with potential for charging station construction.

[0105] It should be noted that the site selection process for charging stations is prioritized in candidate areas with suitable charging station construction type labels. Site selection in candidate areas with priority share type labels is superior to site selection in candidate areas with verified site selection type labels. Site selection in candidate areas with saturated charging stations is superior to site selection in candidate areas with verified site selection type labels. Site selection in candidate areas with blank to potential charging station construction type labels is superior to site selection in candidate areas with verified site selection type labels.

[0106] For example, the framework diagram corresponding to the candidate region type label classification process can be as follows: Figure 4 As shown, the process begins with classifying candidate area type labels. The order share of existing charging stations belonging to the target object within the candidate area is compared with a second threshold m. If the order share is less than or equal to the second threshold m, a first threshold n is obtained, and the step of comparing the demand order volume for charging in the candidate area per unit time with the first threshold n is executed. If the order share is greater than the second threshold m, the candidate area is determined to belong to a third area type label (share-priority candidate area type label). If the demand order volume is less than or equal to the first threshold n, a third threshold k is obtained, and the step of comparing the number of charging guns of existing charging stations not belonging to the target object in the candidate area with the third threshold k is executed. If the number of charging guns of existing charging stations not belonging to the target object in the candidate area is less than the third threshold k, the candidate area is determined to belong to a fourth area type label (charging station). (Saturated candidate area type label). When the demand order volume is greater than the first threshold n, it is determined whether there is an existing charging station belonging to the target object in the candidate area. If there is no existing charging station belonging to the target object in the candidate area, the candidate area is determined to belong to the fifth area type label (blank - candidate area type label with potential for building charging stations). If there is an existing charging station belonging to the target object in the candidate area, it is determined whether the charging gun utilization efficiency is greater than the charging gun utilization efficiency statistics within the site selection range. If the charging gun utilization efficiency is greater than the charging gun utilization efficiency statistics, the candidate area is determined to belong to the first area type label (candidate area type label suitable for building charging stations). Correspondingly, if the charging gun utilization efficiency is less than or equal to the charging gun utilization efficiency statistics, the candidate area is determined to belong to the second area type label (candidate area type label for site selection verification).

[0107] Here, it can be understood that m is used to represent the second threshold, n is used to represent the first threshold, and k is used to represent the third threshold.

[0108] Figure 5 This is a schematic diagram of a charging station location determination device provided in an embodiment of this application.

[0109] like Figure 5 As shown, the charging station location determination device includes: a division unit 501, a query unit 502, a first determination unit 503, a second determination unit 504, and a classification unit 505.

[0110] The partitioning unit 501 is configured to partition the selected location range into regions in response to the location range selected in the interactive interface, thereby obtaining candidate regions;

[0111] The query unit 502 is configured to query the location information of vehicles within the selected area, as well as the charging monitoring data of existing charging stations within the candidate area;

[0112] The first determining unit 503 is configured to determine the charging demand parameters of the vehicle in the candidate area based on the vehicle's positioning information.

[0113] The second determining unit 504 is configured to determine the charging supply parameters of the candidate area based on the charging monitoring data of the existing charging stations in the candidate area.

[0114] The classification unit 505 is configured to classify candidate areas according to charging demand parameters and charging supply parameters, so as to display the type labels of the candidate areas on the interactive interface; wherein, the type labels are used for the site selection of charging stations.

[0115] In one embodiment of this application, the charging supply parameters include: charging gun utilization efficiency and the number of charging guns, wherein the charging gun utilization efficiency is the charging gun utilization efficiency of the existing charging stations in the candidate area belonging to the set target object, and the number of charging guns is the number of charging guns of the existing charging stations in the candidate area not belonging to the target object; the charging demand parameters include: the number of demand orders for charging in the candidate area per unit time, and the classification unit 505 is specifically used for:

[0116] Compare the demand order volume and charging gun usage efficiency with the corresponding first threshold;

[0117] If either the demand order volume or the charging gun utilization efficiency exceeds the corresponding first threshold, the statistical value of the charging gun utilization efficiency within the selected area will be compared with the charging gun utilization efficiency.

[0118] The charging guns are categorized based on the statistical values ​​of their usage efficiency within the selected site area and the relationship between their usage efficiency and the actual usage efficiency.

[0119] In one embodiment of this application, the classification unit 505 is further specifically used for:

[0120] If the charging gun usage efficiency is greater than the charging gun usage efficiency statistical value, the candidate region is determined to belong to the first region type label.

[0121] When the charging gun utilization efficiency is less than or equal to the statistical value of the charging gun utilization efficiency, the candidate area is determined to belong to the second area type label. Among them, the site selection of charging stations in the candidate area to which the first area type label belongs is more effective than that in the second area type label.

[0122] In one embodiment of this application, the charging supply parameters further include: the order share ratio of existing charging stations belonging to the target object in the candidate area. Before comparing the demand order volume and charging gun usage efficiency with the corresponding first threshold, the classification unit 505 is further specifically used for:

[0123] Compare the order share percentage with the set second threshold;

[0124] If the order share is less than or equal to the second threshold, obtain the first threshold to perform the step of comparing the demand order volume and the charging gun usage efficiency with the corresponding first threshold;

[0125] If the order share ratio is greater than the second threshold, the candidate area is determined to belong to the third area type label; among them, the site selection effect of charging station in the candidate area to which the first area type label belongs is better than that of the third area type label, and the site selection effect of charging station in the candidate area to which the third area type label belongs is better than that of the second area type label.

[0126] In one embodiment of this application, the classification unit 505 is further specifically used for:

[0127] When both the demand order volume and the charging gun utilization efficiency are less than or equal to the corresponding first threshold, the candidate area is determined to belong to the fourth area type label; among them, the site selection effect of charging station in the candidate area to which the first area type label belongs is better than that of the fourth area type label, and the site selection effect of charging station in the candidate area to which the fourth area type label belongs is better than that of the second area type label.

[0128] In one embodiment of this application, the classification unit 505 is further specifically used for:

[0129] If there are existing charging stations belonging to the target object in the candidate area, compare the charging gun utilization efficiency statistics and the charging gun utilization efficiency within the selected area.

[0130] In one embodiment of this application, before comparing the statistical value of the charging gun usage efficiency within the selected area with the charging gun usage efficiency, the classification unit 505 is further specifically used for:

[0131] If there are no existing charging stations belonging to the target object in the candidate area, the candidate area is determined to belong to the fifth area type label. Among them, the site selection effect of charging stations in the candidate area belonging to the first area type label is better than that of the fifth area type label, and the site selection effect of charging stations in the candidate area belonging to the fifth area type label is better than that of the second area type label.

[0132] In one embodiment of this application, the first determining unit 503 is specifically used for:

[0133] Based on at least one of the vehicle's location information, including charging location, idle location, order start point, and end point, predict the probability that the vehicle is charging within the candidate area.

[0134] Based on the charging probability, determine the charging demand parameters of the vehicle in the candidate area.

[0135] In one embodiment of this application, the charging supply parameters include setting the order share ratio of the target object in the candidate area, and the second determining unit 504 is specifically used for:

[0136] For existing charging stations belonging to the target entity within the candidate area, the actual number of orders is determined from charging monitoring data;

[0137] Based on the actual number of orders and the total number of orders for existing charging stations in the candidate areas, the order share of the target object in the candidate areas is calculated.

[0138] It should be noted that the foregoing explanation of the charging station location determination method embodiment also applies to the charging station location determination device of this embodiment, and will not be repeated here.

[0139] The charging station location determination device provided in this application, in response to a selected location range on an interactive interface, divides the location range into regions to obtain candidate regions; queries the location information of vehicles within the location range and the charging monitoring data of existing charging stations within the candidate regions; determines the charging demand parameters of vehicles in the candidate regions based on the vehicle location information; determines the charging supply parameters of the candidate regions based on the charging monitoring data of existing charging stations within the candidate regions; and classifies the candidate regions according to the charging demand parameters and charging supply parameters, displaying type labels for the candidate regions on the interactive interface. These type labels are used for charging station location processing. Thus, by considering the charging supply parameters and charging demand parameters of vehicles in the candidate regions from the perspective of whether the charging supply and demand of charging stations within the candidate regions are balanced, the type of candidate region is obtained. The candidate regions within the location range are further divided, and by displaying the type labels of the candidate regions on the interactive interface, suitable charging station locations are determined within the location range, thereby improving the utilization efficiency of charging guns in subsequently selected charging stations.

[0140] In an exemplary embodiment, an electronic device is also proposed.

[0141] The electronic devices include:

[0142] processor;

[0143] Memory used to store processor-executable instructions;

[0144] The processor is configured to execute instructions to implement the charging station location determination method as proposed in any of the foregoing embodiments.

[0145] As an example, Figure 6 This is a schematic diagram of the structure of an electronic device 600 as shown in an exemplary embodiment of this disclosure, as follows: Figure 6 As shown, the aforementioned electronic device 600 may further include:

[0146] The system includes a memory 610 and a processor 620, and a bus 630 connecting different components (including the memory 610 and the processor 620). The memory 610 stores a computer program, which, when executed by the processor 620, implements the charging station location determination method described in this embodiment.

[0147] Bus 630 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. Examples of these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0148] Electronic device 600 typically includes a variety of electronic device readable media. These media can be any available media that can be accessed by electronic device 600, including volatile and non-volatile media, removable and non-removable media.

[0149] Memory 610 may also include computer system readable media in the form of volatile memory, such as random access memory (RAM) 640 and / or cache memory 650. Server 600 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 660 may be used to read and write non-removable, non-volatile magnetic media (… Figure 6 Not shown; usually referred to as a "hard drive package"). Although Figure 6 Not shown, a disk drive package for reading and writing to removable non-volatile disks (e.g., "floppy disks") and an optical disk drive package for reading and writing to removable non-volatile optical disks (e.g., CD-ROMs, DVD-ROMs, or other optical media) may be provided. In these cases, each drive package may be connected to bus 630 via one or more data media interfaces. Memory 610 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of this disclosure.

[0150] A program / utility 680 having a set (at least one) of program modules 670 may be stored, for example, in memory 610. Such program modules 670 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 670 typically perform the functions and / or methods described in the embodiments of this disclosure.

[0151] Electronic device 600 can also communicate with one or more external devices 660 (e.g., keyboard, pointing device, display 691, etc.), and with one or more devices that enable a user to interact with electronic device 600, and / or with any device that enables electronic device 600 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interface 692. Furthermore, electronic device 600 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 693. As shown, network adapter 693 communicates with other modules of electronic device 600 via bus 630. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with electronic device 600, including but not limited to: microcode, device driver packages, redundant processing units, external disk drive package arrays, RAID systems, tape drive packages, and data backup storage systems.

[0152] The processor 620 executes various functional applications and data processing by running programs stored in the memory 610.

[0153] It should be noted that the implementation process and technical principles of the electronic device in this embodiment are explained in the foregoing description of the charging station location determination method of this disclosure embodiment, and will not be repeated here.

[0154] In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as a memory including instructions, which can be executed by a processor of an electronic device to perform the charging station location determination method proposed in any of the above embodiments. Optionally, the computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0155] In an exemplary embodiment, a computer program product is also provided, including a computer program / instructions, characterized in that the computer program / instructions, when executed by a processor, implement the charging station location determination method proposed in any of the above embodiments.

[0156] The collection, storage, access, processing, transmission, provision, and disclosure of user personal information involved in this application all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0157] It should be noted that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate accesses. Furthermore, such collection / sharing should only be conducted after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes authorization of relevant user information before the user accesses the function. In addition, any necessary steps must be taken to protect and safeguard access to such personal information data and ensure that others authorized to access personal information data comply with their privacy policies and procedures.

[0158] This application is intended to provide an implementation scheme for users to selectively block access to or access to personal information data. That is, this disclosure is intended to provide hardware and / or software to prevent or block access to such personal information data. Once personal information data is no longer needed, risks can be minimized by restricting data collection and deleting data. Furthermore, where applicable, such personal information is de-identified to protect user privacy.

[0159] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0160] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0161] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0162] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0163] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or accessed as an independent product, it can also be stored in a computer-readable storage medium.

[0164] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for determining the location of a charging station, characterized in that, The method is executed by one or more processors, and the method includes: In response to the location range selected in the interactive interface, the location range is divided into regions to obtain candidate regions; Query the location information of vehicles within the selected area, as well as the charging monitoring data of existing charging stations within the candidate area; Based on the vehicle's location information, determine the vehicle's charging demand parameters in the candidate area; Based on the charging monitoring data of the existing charging stations in the candidate area, the charging supply parameters of the candidate area are determined. Based on the charging demand parameters and the charging supply parameters, the candidate areas are classified and processed to display type labels of the candidate areas on the interactive interface; wherein, the type labels are used for the site selection of charging stations.

2. The method according to claim 1, characterized in that, The charging supply parameters include: charging gun utilization efficiency and number of charging guns, wherein the charging gun utilization efficiency is the charging gun utilization efficiency of the built charging stations in the candidate area belonging to the set target object, and the number of charging guns is the number of charging guns of the built charging stations in the candidate area not belonging to the target object. The charging demand parameters include: the number of demand orders for charging in the candidate area per unit time. The step of classifying the candidate regions based on the charging demand parameters and the charging supply parameters, and displaying type labels for the candidate regions on the interactive interface, includes: Compare the demand order volume and the charging gun usage efficiency with the corresponding first threshold; If either the demand order volume or the charging gun usage efficiency is greater than the corresponding first threshold, the charging gun usage efficiency statistics within the selected area are compared with the charging gun usage efficiency. The charging guns are classified according to the statistical values ​​of their usage efficiency within the selected location range and the relationship between their usage efficiency and the actual usage efficiency.

3. The method according to claim 2, characterized in that, The classification based on the statistical values ​​of charging gun usage efficiency within the selected location range and the relationship between the charging gun usage efficiency includes: If the charging gun usage efficiency is greater than the charging gun usage efficiency statistical value, the candidate region is determined to belong to the first region type label. If the charging gun utilization efficiency is less than or equal to the statistical value of the charging gun utilization efficiency, the candidate area is determined to belong to the second area type label. In this case, the site selection effect of the charging station in the candidate area to which the first area type label belongs is better than that of the second area type label.

4. The method according to claim 3, characterized in that, The charging supply parameters also include: the order share of existing charging stations belonging to the target object in the candidate area; Before comparing the demand order volume and the charging gun usage efficiency with the corresponding first threshold, the method further includes: Compare the order share percentage with the set second threshold; If the order share percentage is less than or equal to the second threshold, the first threshold is obtained to perform the step of comparing the demand order volume and the charging gun usage efficiency with the corresponding first threshold; If the order share ratio is greater than the second threshold, the candidate area is determined to belong to the third area type label; wherein, the site selection effect of charging station in the candidate area to which the first area type label belongs is better than that of the third area type label, and the site selection effect of charging station in the candidate area to which the third area type label belongs is better than that of the second area type label.

5. The method according to claim 3, characterized in that, The step of classifying the candidate regions based on the charging demand parameters and the charging supply parameters, and displaying type labels of the candidate regions on the interactive interface, further includes: When both the demand order volume and the charging gun utilization efficiency are less than or equal to the corresponding first threshold, the candidate area is determined to belong to the fourth area type label; wherein, the site selection effect of charging station in the candidate area to which the first area type label belongs is better than that of the fourth area type label, and the site selection effect of charging station in the candidate area to which the fourth area type label belongs is better than that of the second area type label.

6. The method according to claim 2, characterized in that, The comparison of the charging gun usage efficiency statistics within the selected location range with the charging gun usage efficiency includes: If there is an existing charging station belonging to the target object in the candidate area, the statistical value of the charging gun utilization efficiency within the selected area is compared with the charging gun utilization efficiency.

7. The method according to claim 3, characterized in that, Before comparing the statistical value of the charging gun usage efficiency within the selected location range with the charging gun usage efficiency, the method further includes: If no existing charging station belonging to the target object exists in the candidate area, the candidate area is determined to belong to the fifth area type label; wherein, the site selection effect of charging station in the candidate area to which the first area type label belongs is better than that of the fifth area type label, and the site selection effect of charging station in the candidate area to which the fifth area type label belongs is better than that of the second area type label.

8. The method according to any one of claims 1-7, characterized in that, The step of determining the charging demand parameters of the vehicle in the candidate area based on the vehicle's location information includes: Based on at least one of the following in the vehicle's location information: charging location, idle location, order start point location, and order end point location, predict the probability that the vehicle is charging within the candidate area. Based on the charging probability, the charging demand parameters of the vehicle in the candidate area are determined.

9. The method according to any one of claims 1-7, characterized in that, The charging supply parameters include setting the order share percentage of the target object in the candidate area; The step of determining the charging supply parameters of the candidate area based on the charging monitoring data of the existing charging stations within the candidate area includes: For the existing charging stations belonging to the target object in the candidate areas, the actual number of orders is determined from the charging monitoring data; Based on the actual number of orders and the total number of actual orders for existing charging stations in the candidate areas, the order share of the target object in the candidate areas is calculated.

10. A charging station location determination device, characterized in that, The device is executed by one or more processors, the device comprising: The partitioning unit is configured to, in response to a selected location range in the interactive interface, divide the selected location range into regions to obtain candidate regions; The query unit is configured to query the location information of vehicles within the selected area, as well as the charging monitoring data of existing charging stations within the candidate area; The first determining unit is configured to determine the charging demand parameters of the vehicle in the candidate area based on the vehicle's positioning information. The second determining unit is configured to determine the charging supply parameters of the candidate area based on the charging monitoring data of the existing charging stations in the candidate area. The classification unit is configured to classify the candidate areas according to the charging demand parameters and the charging supply parameters, so as to display the type labels of the candidate areas on the interactive interface; wherein the type labels are used for the site selection of charging stations.

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