Charging station screening method and device, electronic equipment and storage medium

Abstract

The invention provides a charging station screening method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a first evaluation index of each first charging station in a plurality of to-be-screened first charging stations, the first evaluation index comprises charging operation data, and according to the index value of the first evaluation index of each first charging station, calculating the charging operation data of each first charging station; at least one candidate charging field station is determined from the at least one first charging field station, a second evaluation index of each candidate charging field station is obtained, the second evaluation index comprises charging attribute data, and a target charging field station is determined from the at least one candidate charging field station according to an index value of the second evaluation index. The charging operation data and the charging attribute data are screened and filtered for multiple times, so that the quality of the determined target charging station is improved, and the charging efficiency is improved.

Description

Technical Field

[0001] This application relates to the technical field of electric vehicle charging, and particularly relates to a screening method, device, electronic device, and storage medium for charging stations. Background Art

[0002] With the increasing use of new energy electric vehicles, the number of charging stations for charging them has also increased.

[0003] Users usually recommend and screen charging stations to the users through the application APP on the in-vehicle terminal or terminal device. Currently, the screening method usually finds charging stations based on simple or single screening conditions, resulting in poor quality of the screened charging stations and reducing the charging efficiency of the vehicle. Summary of the Invention

[0004] This application aims to at least solve one of the technical problems in the related art to some extent.

[0005] To this end, this application proposes a screening method, device, electronic device, and storage medium for charging stations, which improves the quality of the screened charging stations and the charging efficiency of the vehicle for the user.

[0006] An embodiment of one aspect of this application proposes a screening method for charging stations, including:

[0007] Obtain the first evaluation indicators of each of at least one first charging station to be screened; wherein, the first evaluation indicators include charging operation data;

[0008] Determine at least one candidate charging station from the at least one first charging station according to the index values of the first evaluation indicators of each of the first charging stations;

[0009] Obtain the second evaluation indicators of each of the candidate charging stations; wherein, the second evaluation indicators include charging attribute data;

[0010] Determine the target charging station from the at least one candidate charging station according to the index values of the second evaluation indicators of each of the candidate charging stations.

[0011] An embodiment of another aspect of this application proposes a screening device for charging stations, including:

[0012] A first acquisition module, configured to obtain the first evaluation indicators of each of at least one first charging station to be screened; wherein, the first evaluation indicators include charging operation data;

[0013] The first determination module is configured to determine at least one candidate charging station from the at least one first charging station according to the index values of the first evaluation indexes of the respective first charging stations;

[0014] The second acquisition module is configured to acquire the second evaluation indexes of the respective candidate charging stations; wherein, the second evaluation indexes include charging attribute data;

[0015] The second determination module is configured to determine a target charging station from the at least one candidate charging station according to the index values of the second evaluation indexes of the respective candidate charging stations.

[0016] In another aspect of the embodiments of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the method described in the foregoing aspect is implemented.

[0017] In another aspect of the embodiments of the present application, a non-transitory computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method described in the foregoing aspect is implemented.

[0018] In another aspect of the embodiments of the present application, a computer program product is provided, on which a computer program is stored. When the program is executed by a processor, the method described in the foregoing aspect is implemented.

[0019] The screening method, device, electronic device, and storage medium for charging stations proposed in the present application acquire the first evaluation indexes of each of the at least one first charging station to be screened. The first evaluation indexes include charging operation data. According to the index values of the first evaluation indexes of the respective first charging stations, at least one candidate charging station is determined from the at least one first charging station. The second evaluation indexes of the respective candidate charging stations are acquired, wherein the second evaluation indexes include charging attribute data. According to the index values of the second evaluation indexes of the respective candidate charging stations, a target charging station is determined from the at least one candidate charging station. First, screening is performed based on the charging operation data of the first charging stations to determine multiple candidate charging stations, and then the target charging station is further screened out from the candidate charging stations based on the charging attribute data of the candidate charging stations. Through multiple rounds of screening and filtering, the quality of the determined target charging station is improved, thereby improving the charging efficiency.

[0020] The additional aspects and advantages of the present application will be partly given in the following description, partly will become obvious from the following description, or will be understood through the practice of the present application. Description of the Drawings

[0021] The above and / or additional aspects and advantages of the present application will become apparent and readily understood from the following description of embodiments in conjunction with the accompanying drawings, where:

[0022] Figure 1 It is a schematic flowchart of a screening method for a charging station provided by an embodiment of the present application;

[0023] Figure 2 It is a schematic flowchart of another screening method for a charging station provided by an embodiment of the present application;

[0024] Figure 3 It is a schematic flowchart of another screening method for a charging station provided by an embodiment of the present application;

[0025] Figure 4 It is a schematic structural diagram of a screening device for a charging station provided by an embodiment of the present application. Detailed Embodiments

[0026] The embodiments of the present application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary and are intended to explain the present application, and should not be construed as limiting the present application.

[0027] The screening method, device, electronic device, and storage medium of a charging station according to an embodiment of the present application are described below with reference to the accompanying drawings.

[0028] Figure 1 It is a schematic flowchart of a screening method for a charging station provided by an embodiment of the present application.

[0029] The execution subject of the screening method for a charging station in an embodiment of the present application is a screening device for a charging station. This device can be set in the cloud or on a server, and no limitation is made in this embodiment.

[0030] As Figure 1 shown, the method may include the following steps:

[0031] Step 101, obtain first evaluation indicators of each of at least one first charging station to be screened.

[0032] Among them, the first evaluation indicator includes charging operation data. The charging operation data can indicate the operation situation of the corresponding first charging station in terms of charging. The better the charging operation situation, the better the operation of the first charging station, the more users come to charge, and the stronger the availability of the first charging station. On the contrary, if the charging operation situation is poor, it indicates that the first charging station may have aging equipment or poor service, and fewer users choose the first charging station, that is, the availability of the first charging station is poor.

[0033] Step 102: Determine at least one candidate charging station from multiple first charging stations according to the index values of the first evaluation indexes of each first charging station.

[0034] Among them, the index value of the evaluation index is the corresponding numerical value of the evaluation index. For example, if the first evaluation index is the code scanning success rate, and the code scanning success rate is 78% or 95%, then both 78% and 95% are the index values of the code scanning success rate.

[0035] In the embodiment of the present application, according to the index values of the first evaluation indexes of each first charging station, determine the first score values of each first charging station. As a implementation method, for each first charging station, the score values of each first evaluation index can be determined according to the index values of each first evaluation index and the corresponding set mapping relationship (set evaluation criteria). According to the score values of each first evaluation index, determine the first score value of this first charging station. Furthermore, according to the first score values of each first charging station, determine multiple candidate charging stations with the first score value greater than the first threshold from multiple first charging stations, realizing the screening of multiple candidate charging stations with better operation data from the first charging stations based on the charging operation data, and excluding the charging stations with poor quality.

[0036] Step 103: Obtain the second evaluation indexes of each candidate charging station.

[0037] Among them, the second evaluation index includes charging attribute data. The charging attribute data is used to indicate the performance of the candidate charging station during charging, and can be used to distinguish the quality of the candidate charging stations. Among them, the charging attribute data includes the compatibility of the charging pile with the product to be charged, the charging price, the charging power, the number of idle charging piles, etc.

[0038] Step 104: Determine the target charging station from at least one candidate charging station according to the index values of the second evaluation indexes of each candidate charging station.

[0039] Among them, the description of the index value of the second evaluation index can refer to the description of the index value of the first evaluation index, and the principle is the same, so it will not be elaborated here.

[0040] In the embodiments of the present application, according to the index values of the second evaluation indexes of each candidate charging station, the second score values of each candidate charging station are determined. As an implementation manner, for each candidate charging station, the score values of each second evaluation index can be determined according to the index values of each second evaluation index and the corresponding set mapping relationship (set evaluation criteria), and according to the score values of each second evaluation index, the second score value of the candidate charging station is determined. Furthermore, according to the second score values of each candidate charging station, multiple target charging stations with the second score value greater than the second threshold are determined from multiple candidate charging stations, realizing the screening of multiple candidate charging stations with better charging parameters from the candidate charging stations based on the charging attribute data, further screening the quality of the candidate charging stations, screening out the target charging stations with better quality, improving the quality of the determined target charging stations, and then when the user requests to obtain a charging station, pushing the target charging station to the user, which can ensure that the user can find a good charging station and improve the user's charging efficiency and charging experience.

[0041] In the screening method of the charging station in the embodiments of the present application, the first evaluation indexes of each first charging station in at least one first charging station to be screened are obtained. The first evaluation indexes include charging operation data. According to the index values of the first evaluation indexes of each first charging station, at least one candidate charging station is determined from at least one first charging station. The second evaluation indexes of each candidate charging station are obtained, where the second evaluation indexes include charging attribute data. According to the index values of the second evaluation indexes of each candidate charging station, the target charging station is determined from at least one candidate charging station. First, screening is performed based on the charging operation data of the first charging station to determine multiple candidate charging stations, and then based on the charging attribute data of the candidate charging stations, the target charging station is further screened out from the candidate charging stations. Through multiple rounds of screening and filtering, the quality of the determined target charging station is improved, thereby improving the charging efficiency.

[0042] Based on the above embodiments, Figure 2 is a schematic flowchart of another screening method of the charging station provided by the embodiments of the present application. As Figure 2 shown, the method includes the following steps:

[0043] Step 201, obtain the first evaluation indexes of each first charging station in at least one first charging station to be screened.

[0044] Among them, the first evaluation indexes are used to indicate that the first charging station is an available charging station with normal operation and quality meeting requirements, and include at least one of the following indexes: the average daily charging volume of the charging pile, the charging service success rate, the charging pile online rate, the code scanning charging success rate, and the charging station turnover rate.

[0045] Among them, the daily average charging amount of the charging pile is used to indicate the daily average charging amount of a single charging pile in the first charging station. The service success rate is used to indicate the ratio of the number of successfully charged orders to the total number of charging orders in the first charging station. The equipment online rate is used to indicate the ratio of the total number of available charging piles to the total number of registered charging piles in the first charging station. The code scanning success rate is used to indicate the ratio of the number of successful code scanning charging times to the total number of code scanning charging times within a set time period in the first charging station. The turnover rate is used to indicate the ratio of the daily average charging amount of the first charging station to the daily total power of the charging station.

[0046] Step 202: Determine the first score value of each first charging station according to the index values of the first evaluation indicators of each first charging station.

[0047] In an implementation manner of the embodiment of the present application, for each first charging station, obtain the weights of the first evaluation indicators of the first charging station, determine the score values corresponding to the index values of each first evaluation indicator according to the index values of each first evaluation indicator and the corresponding evaluation criteria, and perform weighted calculation according to the score values and weights of the first evaluation indicators of the first charging station to obtain the first score value of the first charging station. Among them, the weights of each first evaluation indicator can be set and adjusted based on the requirements of the scenario, and are not limited in this embodiment.

[0048] As an example, Table 1 shows the weights, index value ranges, and corresponding evaluation criteria of the first evaluation indicators of the first charging station.

[0049] Table 1:

[0050]

[0051] As shown in Table 1, different first evaluation indicators have different corresponding weights. When the index values of the first evaluation indicators are different, different score values are determined according to the corresponding evaluation criteria. For example, the first evaluation indicator is the daily average charging amount of the charging pile, marked as a, and the corresponding weight is 20%. When the index value corresponding to the daily average charging amount of the charging pile is 95 kwh (kilowatt-hour), according to the evaluation criteria, when the index value corresponding to the daily average charging amount of the charging pile is between 60 and 100 kwh, the corresponding score value is 80 points.

[0052] According to Table 1, the first score values of each first charging station can be calculated. The first score value y1 is calculated by the following formula:

[0053] y1 = 20% * a + 20% * b + 30% * c + 15 * d + 15% * e;

[0054] Among them, y1 >= 90 points indicates that the availability of the first charging station is 5 stars;

[0055] 80 ≤ y1 < 90 indicates that the availability of the first charging station is 4 stars;

[0056] y1 < 80 indicates that the availability of the first charging station is 3 stars.

[0057] Therefore, the higher the first score value of the first charging station, the higher the availability of the first charging station.

[0058] Step 203: Determine at least one candidate charging station with a first score value greater than the first threshold from at least one first charging station according to the first score values of the respective first charging stations.

[0059] In the embodiment of the present application, by comparing the first threshold with the first score values of the respective first charging stations, at least one candidate charging station with a first score value greater than the first threshold is determined from at least one first charging station, realizing the screening of candidate charging stations with better quality, ensuring that the selected candidate charging stations are available stations, so that users can find available charging piles to achieve charging when arriving at the charging station.

[0060] Step 204: Obtain the second evaluation indicators of the respective candidate charging stations.

[0061] The second evaluation indicators include charging attribute data and are used to indicate whether the candidate charging station further meets the quality requirements of a high-quality charging station, including at least one of the following indicators:

[0062] Single charging pile power, voltage platform, whether parking is free, charging station score, new station identification, charging price, number of charging piles, number of idle charging piles.

[0063] Among them, the single charging pile power is used to indicate the maximum charging power or charging current of a single charging pile. The greater the single charging pile power, the higher the score value of the second evaluation indicator.

[0064] The voltage platform is used to indicate the types of charging voltages supported by the candidate charging station. The more types of charging voltages that can be supported, the higher the score value of the second evaluation indicator. Among them, the charging voltages include 500V, 750V, 1000V, etc.; among them, 1000V is compatible with 800V.

[0065] Whether parking is free is used to indicate whether the candidate charging station offers free parking for charging, whether it offers free parking for a limited time, whether it offers free parking by binding the license plate, and whether the score for the limited-time free parking fee is higher.

[0066] The evaluation result of the charging station refers to the evaluation result of the user on the charging station after charging at the charging station, which can be indicated by a score or star rating. For example, it is 1 - 5 points or 1 - 5 stars. The higher the score or star rating, the better the evaluation result, and the corresponding score value is higher.

[0067] New station identifier, used to indicate whether the charging station is a new charging station, that is, a newly built charging station within half a year, or an old charging station with new charging equipment replaced.

[0068] Charging price, used to indicate the charging rate of the charging station.

[0069] Number of charging piles, used to indicate the total number of charging piles in the charging station. The more the total number, the better the quality of the charging station, and the higher the corresponding score value.

[0070] Number of idle charging piles, used to indicate the number of idle charging piles in the charging station. The more the number of idle charging piles, the better the quality of the charging station, and the higher the corresponding score value.

[0071] Step 205: Determine the second score value of each candidate charging station according to the index values of the second evaluation indexes of each candidate charging station.

[0072] In an implementation manner of the embodiment of the present application, for each candidate charging station, obtain the weights of the second evaluation indexes of the candidate charging station, determine the score values corresponding to the index values of the second evaluation indexes according to the index values of the second evaluation indexes and the corresponding evaluation criteria, and perform weighted calculation according to the score values and weights of the second evaluation indexes of the candidate charging station to obtain the second score value of the candidate charging station. Among them, the weights of the second evaluation indexes can be set and adjusted based on the requirements of the scenario, and are not limited in this embodiment.

[0073] As an example, Table 2 shows the weights, the intervals to which the index values belong, and the corresponding evaluation criteria of the second evaluation indexes of the candidate charging stations.

[0074] Table 2

[0075]

[0076]

[0077] As shown in Table 2, different second evaluation indexes have different corresponding weights. When the index values of the second evaluation indexes are different, the corresponding score values are determined according to the corresponding evaluation criteria. For example, the second evaluation index is the charging station score, marked as d’, and the corresponding weight is 5%. If the index value corresponding to the charging station score is four stars, then according to the evaluation criteria, when the index value corresponding to the charging station score is four stars, the corresponding score value is 80 points. Among them, the index value corresponding to the charging station score is determined based on the evaluation of users, and can be three stars, four stars or five stars. The higher the number of stars, the higher the satisfaction of users with the charging station, and the higher the satisfaction, the higher the corresponding score value.

[0078] According to Table 2, the second score value of each candidate charging station can be calculated. The second score value y2 is calculated by the following formula:

[0079] y2 = 10% * a' + 10% * b' + 20% * c' + 5 * d' + 5% * e' + 20% * f' + 10% * g' + 20% * h';

[0080] Among them, when y2 >= 90 points, it indicates that the availability of the candidate charging station is 5 stars;

[0081] When 80 < y2 < 90, it indicates that the availability of the candidate charging station is 4 stars;

[0082] When y2 < 80, it indicates that the availability of the candidate charging station is 3 stars.

[0083] Therefore, the higher the second score value of the candidate charging station, the higher the availability of the candidate charging station.

[0084] Step 206: Determine the target charging station from at least one candidate charging station according to the second score value of each candidate charging station.

[0085] In the embodiment of the present application, by comparing the second threshold with the second score value of each candidate charging station, at least one target charging station with a second score value greater than the second threshold is determined from multiple candidate charging stations, realizing further screening of the target charging stations with better quality, ensuring that the selected target charging stations are high-quality charging stations, so that users can find useful or high-quality charging piles to achieve charging when arriving at the target charging station, thereby improving the charging effect. As an example, if the target charging station offers free parking, the charging piles are newly built equipment, the charging power of the charging piles is high, and the charging rate is low, then after recommending the target charging station to the user through the application program, when the user goes to the target charging station to charge the electric vehicle, it takes less time and cost, improving the charging efficiency and effect, and the user satisfaction is high.

[0086] In the screening method of the charging station in the embodiment of the present application, the first evaluation value of each first charging station is obtained by weighted calculation based on the charging operation data of the first charging station, and screening is performed according to the first score value of each first charging station to determine multiple candidate charging stations that meet the quality requirements. Then, according to the second evaluation index and the corresponding weight of each candidate charging station, the second evaluation value of each candidate charging station is determined, and the target charging station is further screened from the candidate charging stations according to the second evaluation value of each candidate charging station. Through multiple rounds of screening and filtering, the quality of the determined target charging station is improved, thereby improving the charging efficiency.

[0087] Based on the above embodiments, the embodiment of the present application provides another screening method for charging stations.Figure 3 The flowchart of another screening method for charging stations provided by an embodiment of the present application is shown as Figure 3 follows. The method includes the following steps:

[0088] Step 301: Obtain the operation data of at least one operator to which at least one second charging station to be screened belongs.

[0089] In an implementation manner of an embodiment of the present application, each operator manages at least one second charging station, and each operator uploads at least one second charging station it manages to a cloud platform. The cloud platform is used to manage, screen, and maintain the data of the second charging stations uploaded by each operator. When a user requests charging station data through a vehicle-mounted device or the APP of a terminal, it is pushed to the APP of each vehicle-mounted device or terminal for display, so as to facilitate the user's query and realize the user's query of charging stations.

[0090] Among them, the operation data of the operator reflects the comprehensive strength of the operator. The stronger the comprehensive strength of the operator, the stronger the management ability, operation ability, and financial strength of the operator, and the higher the quality of the second charging stations managed by the operator is usually.

[0091] Among them, the operation data includes at least one of the number of charging devices, the quality of charging devices, market coverage rate, and operation maturity. For details, see Table 3 below. As an example, Table 3 below shows the weights of each operation data and the specific index data included in each operation data.

[0092] Table 3

[0093]

[0094] Step 302: Determine the level of each operator according to the operation data of each operator.

[0095] In an embodiment of the present application, the levels of each operator are determined by weighted summation of the operation data of the operators to which each second charging station belongs and the weights of the operation data. As an implementation manner, the operation data of the operators to which each second charging station belongs can be normalized and then weighted and summed to obtain the levels of each operator. Among them, the level of the operator can also be called the operation score. Among them, the operation data includes at least one of the number of charging devices, the quality of charging devices, market coverage rate, and operation maturity. From the levels of the operators to which multiple second charging stations belong, target operators with operator levels higher than the set level are determined.

[0096] As an example, the operation data includes the number of charging devices, the quality of charging devices, the market coverage rate, and the operation maturity. The more evaluation indicators are used to judge the level of the operator, the higher the accuracy of the level assessment. For each operator, the more the number of charging devices, the higher the quality of charging devices, the higher the market coverage rate, and the higher the operation maturity, it indicates that the operation ability of the operator is stronger, the score level of the operator is higher, and the quality of the charging stations operated by the operator with a higher level is higher.

[0097] As an example, the operation data includes the number of charging devices, the quality of charging devices, the market coverage rate, and the operation maturity. For different operation data, the corresponding scoring rules are described as follows:

[0098] When the operation data is the number of charging devices, marked as "a", the scoring rule is:

[0099] If the total number of charging piles > 30,000 and the annual growth rate > 30% (industry average level), then a = 100 points;

[0100] If the total number of charging piles > 30,000 and the annual growth rate < 30% (industry average level), then a = 90 points;

[0101] If the total number of charging piles is between 10,000 and 30,000, then a" = 80 points;

[0102] If the total number of charging piles < 10,000, then a" = 60 points;

[0103] When the operation data is the quality of charging devices, marked as "b", the scoring rule is:

[0104] (The pile installation time is later than 2021) && (the equipment abnormality rate < 3%) && (the proportion of 1000V voltage platform > 90%), then b" = 100 points;

[0105] (The pile installation time is later than 2019) && (the equipment abnormality rate < 5%) && (the proportion of 1000V voltage platform > 70%), then b" = 80 points;

[0106] In other cases, b" = 60 points.

[0107] When the operation data is the market coverage rate, marked as "c", the scoring rule is:

[0108] If the proportion of first-tier cities + provincial capital cities > 50% and the number of the top 30 cities > 10,000, then c" = 100 points;

[0109] In other cases, c" = 80 points;

[0110] When the operation data is the operation maturity, marked as: "d", the scoring rule is:

[0111] Self - operation rate > 50%, equipment management cycle frequency > 1 time / month, count d” = 100 points;

[0112] For the rest, count d” = 80 points;

[0113] Thus, according to the score values corresponding to each operation data and the weights of each operation data, weighted addition is performed to calculate the levels of each operator. The operator level y3 is calculated by the following formula:

[0114] y3 = 50% * a” + 20% * b” + 20% * c” + 10 * d”;

[0115] If y3 >= 90 points, the operator level is 5 stars;

[0116] If 80 <= y3 < 90, the operator level is 4 stars;

[0117] If y3 < 80, the operator level is 3 stars.

[0118] Among them, the higher the star level, the higher the operator level. For example, the 5 - star level is greater than the 4 - star level.

[0119] Step 303: In response to the existence of a first target level among the levels of at least one operator, use the second charging station corresponding to the operator with the first target level as the first charging station. In the embodiments of the present application, based on the operation data of the operator, filtering is performed to screen out the operator with the first target level from the levels of at least one operator, where the first target level is greater than the set level, so as to screen out the operator with a relatively high level. Use the second charging station corresponding to the operator with the first target level as the first charging station, which realizes the analysis, screening, and filtering of operators based on the operator level, excludes operators with poor quality, low operation efficiency, and bad user experience, so as to screen out operators with better quality or stronger capabilities. And the level of the operator is positively correlated with the quality of the corresponding second charging station, thus ensuring the quality of the first charging station.

[0120] Step 304: In response to the levels of all operators being less than or equal to the set level, determine a second target level from the levels of at least one operator.

[0121] Among them, the second target level is the level of the set number of operators ranked at the front according to the ranking of the levels of at least one operator.

[0122] In the embodiments of the present application, if the levels of all operators are less than or equal to the set level, the screening requirements can be reduced, that is, determine the second target level from the levels of each operator, and the second target level is the level of the set number of operators ranked at the front according to the ranking of the levels of each operator.

[0123] Among them, the set quantity can be set based on demand and can be one or more, which is not limited in the embodiments of the present application.

[0124] Step 305: Use the third charging station corresponding to the operator of the second target level as the first charging station.

[0125] In the embodiment of the present application, the third charging station corresponding to the operator of the second target level is used as the first charging station, so that even if there is no operator of the first target level, a better operator can still be screened out, thereby improving the robustness of operator screening.

[0126] Step 306: Obtain a first evaluation index of each first charging station in the at least one first charging station to be screened.

[0127] Step 307 : determining at least one candidate charging station from at least one first charging station according to the index value of the first evaluation index of each first charging station.

[0128] Step 308: Obtain a second evaluation index for each candidate charging station.

[0129] Step 309 : determining a target charging station from at least one candidate charging station according to the index value of the second evaluation index of each candidate charging station.

[0130] Among them, steps 306 to 309 can refer to the explanations in the aforementioned embodiments, and the principles are the same, so they will not be repeated here.

[0131] In the method for screening charging stations in the embodiment of the present application, based on the level of the operator indicated by the operating data, the quality of the charging station itself, the charging price, the power of the charging pile, the number of idle piles and other factors, a comprehensive assessment is made to determine the top-ranked charging stations, which are pushed to the user through the vehicle computer / APP to ensure that the user finds available and easy-to-use charging stations, and then finds available and easy-to-use charging piles, thereby improving the user's charging experience.

[0132] Based on the above embodiments, the method for screening charging stations in the embodiments of the present application is applicable to the scenario where a user is looking for a charging station. As an example, the process is as follows:

[0133] In the first step, each operator platform uploads the data of the corresponding charging stations and the charging piles in the charging stations to the charging pile management platform of the electric vehicle enterprise. This platform can be set in the cloud or on the server side and is used to analyze, screen, and filter the data of the charging stations and the charging piles in the charging stations, excluding the charging stations and charging piles with poor quality, low operating efficiency, and bad user experience. Furthermore, the data of the selected charging stations and the charging piles in the charging stations are pushed to the application program of the in-vehicle device or the terminal device. When the user queries the charging stations and charging piles through the application program of the in-vehicle device or the terminal device, they are displayed through the application program of the in-vehicle device or the terminal device, so that the user can navigate to the corresponding target charging station. Among them, the method for determining the target charging station can refer to the explanation in the foregoing embodiment, with the same principle and will not be elaborated here.

[0134] To implement the above embodiment, the embodiment of the present application also proposes a screening device for charging stations.

[0135] Figure 4 It is a schematic structural diagram of a screening device for charging stations provided by an embodiment of the present application.

[0136] As Figure 4 shown, the device may include:

[0137] A first acquisition module 41, configured to acquire first evaluation indicators of each of at least one first charging station to be screened; wherein, the first evaluation indicators include charging operation data.

[0138] A first determination module 42, configured to determine at least one candidate charging station from the at least one first charging station according to the index values of the first evaluation indicators of each of the first charging stations.

[0139] A second acquisition module 43, configured to acquire second evaluation indicators of each of the candidate charging stations; wherein, the second evaluation indicators include charging attribute data.

[0140] A second determination module 44, configured to determine a target charging station from the at least one candidate charging station according to the index values of the second evaluation indicators of each of the candidate charging stations.

[0141] Furthermore, in an implementation manner of the embodiment of the present application, the device further includes:

[0142] A third determination module, configured to obtain operation data of at least one operator to which at least one second charging station to be screened belongs; determine the levels of the respective operators according to the operation data of the respective operators; in response to the existence of a first target level among the levels of the at least one operator, use at least one second charging station corresponding to the operator of the first target level as the at least one first charging station; wherein the first target level is greater than a set level.

[0143] In an implementation manner of the embodiment of the present application, the third determination module is further configured to:

[0144] In response to the levels of all the operators being less than or equal to the set level, determine a second target level from the levels of the at least one operator; wherein the second target level is the level of a set number of operators sorted in the front according to the levels of the at least one operator; use a third charging station corresponding to the operator of the second target level as the first charging station.

[0145] In an implementation manner of the embodiment of the present application, the third determination module is further configured to:

[0146] Determine the levels of the respective operators according to the operation data of the respective operators and the weights of the operation data; wherein the operation data includes at least one of the number of charging devices, the quality of charging devices, market coverage rate, and operation maturity.

[0147] In an implementation manner of the embodiment of the present application, the first determination module 42 is specifically configured to:

[0148] Determine the first score values of the respective first charging stations according to the index values of the first evaluation indexes of the respective first charging stations; determine at least one candidate charging station with a first score value greater than a first threshold from the at least one first charging station according to the first score values of the respective first charging stations.

[0149] In an implementation manner of the embodiment of the present application, the first determination module 42 is specifically configured to:

[0150] For each of the first charging stations, obtain the weights of the respective first evaluation indexes of the first charging station; determine the score values corresponding to the index values of the respective first evaluation indexes according to the index values of the respective first evaluation indexes and the corresponding evaluation criteria; perform weighted calculation according to the score values and weights of the respective first evaluation indexes of the first charging station to obtain the first score value of the first charging station.

[0151] In an implementation manner of the embodiment of the present application, the first evaluation index includes at least one of the following indexes:

[0152] The daily average charging amount, charging service success rate, charging pile online rate, code scanning charging success rate, and charging station turnover rate of the charging piles.

[0153] In one implementation manner of the embodiment of the present application, the second evaluation index includes at least one of the following indexes:

[0154] The power of a single charging pile, voltage platform, whether parking is free, charging station evaluation result, new station identification, charging price, number of charging piles, number of idle charging piles.

[0155] It should be noted that the foregoing explanation of the method embodiment is also applicable to the device of this embodiment, and will not be elaborated here.

[0156] In the screening device of the charging station of the embodiment of the present application, based on the operator quality, the operators are analyzed, screened, and filtered to exclude operators with poor quality, low operation efficiency, and bad user experience, so as to screen out operators with better quality or stronger capabilities. And the capabilities of the operators are positively correlated with the quality of the corresponding second charging stations, thereby ensuring the quality of the first charging stations. Furthermore, based on the charging operation data of the first charging stations, weighted calculations are performed to obtain the first evaluation values of each first charging station. According to the first scoring values of each first charging station, screening is performed to determine multiple candidate charging stations whose quality meets the requirements. Then, according to the second evaluation index and the corresponding weight of each candidate charging station, the second evaluation value of each candidate charging station is determined. According to the second evaluation values of each candidate charging station, the target charging stations are further screened out from the candidate charging stations. Through multiple rounds of screening and filtering, the quality of the determined target charging stations is improved, thereby improving the charging efficiency.

[0157] To implement the above embodiment, the present application also proposes an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the method described in the foregoing method embodiment is implemented. Among them, the electronic device is a server.

[0158] To implement the above embodiment, the present application also proposes a non-temporary computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the method described in the foregoing method embodiment is implemented.

[0159] To implement the above embodiment, the present application also proposes a computer program product, on which a computer program is stored. When the computer program is executed by a processor, the method described in the foregoing method embodiment is implemented.

[0160] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions, such as a memory including instructions, is also provided. The instructions can be executed by a processor of an electronic device to complete the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc. In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0161] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" can explicitly or implicitly include at least one of the features. In the description of the present application, "a plurality of" means at least two, such as two, three, etc., unless otherwise specifically and clearly defined.

[0162] Any process or method description shown in the flowchart or described in other ways herein can be understood to represent a module, segment, or part of code including one or more executable instructions for implementing a customized logic function or process. The scope of the preferred embodiments of the present application includes additional implementations, where the functions can be executed in a substantially simultaneous manner or in a reverse order according to the involved functions, rather than in the order shown or discussed, which should be understood by those skilled in the art of the embodiments of the present application.

[0163] The logic and / or steps represented in the flowchart or otherwise described herein can, for example, be considered as a definable sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or used in conjunction with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection portion having one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or otherwise processing as appropriate, and then storing it in a computer memory.

[0164] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), and the like.

[0165] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the method of the above-described embodiments can be completed by a program instructing relevant hardware, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0166] In addition, each functional unit in various embodiments of the present application may be integrated into one processing module, may exist separately as individual physical units, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0167] The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disc, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A screening method for charging stations, characterized in that, it includes: Obtaining first evaluation indicators of each of at least one first charging station to be screened; wherein, the first evaluation indicators include charging operation data; Determining at least one candidate charging station from the at least one first charging station according to the indicator values of the first evaluation indicators of each of the first charging stations; Obtaining second evaluation indicators of each of the candidate charging stations; wherein, the second evaluation indicators include charging attribute data; Determining a target charging station from the at least one candidate charging station according to the indicator values of the second evaluation indicators of each of the candidate charging stations.

2. The method according to claim 1, characterized in that, before obtaining the indicator values of the first evaluation indicators of each of at least one first charging station to be screened, it further includes: Obtaining operation data of at least one operator to which at least one second charging station to be screened belongs; Determining the level of each of the operators according to the operation data of each of the operators; In response to the existence of a first target level among the levels of the at least one operator, taking the second charging stations corresponding to the operator of the first target level as the first charging stations; wherein, the first target level is greater than a set level.

3. The method according to claim 2, characterized in that, the method further includes: In response to the levels of each of the operators being less than or equal to the set level, determining a second target level from the levels of the at least one operator; wherein, the second target level is the level of a set number of operators ranked ahead according to the ranking of the levels of the at least one operator; Taking the third charging stations corresponding to the operator of the second target level as the first charging stations.

4. The method according to claim 2, characterized in that, the determining the level of each of the operators according to the operation data of each of the operators includes: Determining the level of each of the operators according to the operation data of each of the operators and the weight of the operation data; wherein, the operation data includes at least one of the number of charging devices, the quality of charging devices, market coverage rate, and operation maturity.

5. The method according to claim 1, characterized in that, determining at least one candidate charging station from the at least one first charging station according to the indicator values of the first evaluation indicators of each of the first charging stations includes: Determining the first score value of each of the first charging stations according to the indicator values of the first evaluation indicators of each of the first charging stations; Determining at least one candidate charging station with a first score value greater than a first threshold from the at least one first charging station according to the first score values of each of the first charging stations.

6. The method according to claim 5, characterized in that, the determining the first score value of each of the first charging stations according to the indicator values of the first evaluation indicators of each of the first charging stations includes: For each of the first charging stations, obtaining the weight of each of the first evaluation indicators of the first charging station; Determine the score value corresponding to the index value of each of the first evaluation indexes according to the index value of each of the first evaluation indexes and the corresponding evaluation criteria; Perform weighted calculation based on the score values and weights of each of the first evaluation indexes of the first charging station to obtain the first score value of the first charging station.

7. The method according to claim 5, wherein, the first evaluation index includes at least one of the following indexes: The daily average charging volume of the charging pile, the charging service success rate, the charging pile online rate, the scanning code charging success rate, and the turnover rate of the charging station.

8. The method according to claim 1, wherein, the second evaluation index includes at least one of the following indexes: The power of a single charging pile, the voltage platform, whether parking is free, the evaluation result of the charging station, the new station logo, the charging price, the number of charging piles, and the number of idle charging piles.

9. A screening device for a charging station, wherein, comprising: A first obtaining module, configured to obtain the first evaluation indexes of each of at least one first charging station to be screened; wherein, the first evaluation index includes charging operation data; A first determining module, configured to determine at least one candidate charging station from the at least one first charging station according to the index values of the first evaluation indexes of each of the first charging stations; A second obtaining module, configured to obtain the second evaluation indexes of each of the candidate charging stations; wherein, the second evaluation index includes charging attribute data; A second determining module, configured to determine a target charging station from the at least one candidate charging station according to the index values of the second evaluation indexes of each of the candidate charging stations.

10. An electronic device, wherein, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the method according to any one of claims 1-8 is implemented.

11. A non-transitory computer-readable storage medium, on which a computer program is stored, wherein, when the computer program is executed by a processor, the method according to any one of claims 1-8 is implemented.

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