Station recommendation method, electronic equipment, storage medium and vehicle

Abstract

The invention discloses a station recommendation method, electronic equipment, a storage medium and a vehicle, relates to the technical field of vehicle charging, and aims to solve the problem of poor charging experience of a user due to the fact that station information and a vehicle state are dynamically changed and a recommended charging station is not matched with a charging demand of the user in related technologies. The station recommendation method comprises the following steps: in response to a station recommendation request, displaying station recommendation information at target time; the target time comprises first time and second time, and the second time is after the first time; the charging stations recommended by the station recommendation information displayed at the second time are at least partially different from the charging stations recommended by the station recommendation information displayed at the first time.

Description

Technical Field

[0001] This application relates to the field of vehicle charging technology, and in particular to a site recommendation method, electronic equipment, storage medium, and vehicle. Background Technology

[0002] With the rapid development of the electric vehicle market and the continuous increase in the number of electric vehicles on the road, the demand for charging is also increasing. Furthermore, users have increasingly higher expectations for the charging experience at charging stations, making the selection of a suitable charging station a crucial part of daily commutes. Currently, most charging station recommendations are based on current station information and vehicle status. However, as users travel to recommended charging stations, station information and vehicle status can change dynamically. Upon arrival at a recommended charging station, there may be a mismatch between the recommended station and the user's charging needs, leading to situations where the user cannot charge or has to wait in line, resulting in a poor charging experience. Summary of the Invention

[0003] The purpose of this application is to provide a charging station recommendation method, electronic device, storage medium, and vehicle, aiming to solve the problem in related technologies where the dynamic changes in charging station information and vehicle status lead to a mismatch between recommended charging stations and user charging needs, resulting in a poor user charging experience.

[0004] To achieve the above objectives, the embodiments of this application adopt the following technical solutions:

[0005] In a first aspect, embodiments of this application provide a charging station recommendation method, the method comprising: in response to a charging station recommendation request, displaying charging station recommendation information at a target time; the target time includes a first time and a second time, the second time being after the first time; the charging stations recommended by the charging station recommendation information displayed at the second time are at least partially different from the charging stations recommended by the charging station recommendation information displayed at the first time.

[0006] The charging station recommendation method provided in this application dynamically updates the displayed charging station recommendation information when the station information and vehicle status change during the user's journey to the charging station. This makes the currently displayed charging station recommendation information more in line with the user's charging needs, avoiding situations where the charging pile is occupied or malfunctioning when the user arrives at the charging station, and improving the user's charging experience.

[0007] In some embodiments, the site recommendation information is determined based on the attribute parameters of the candidate charging sites at the target time and the site data within a historical time period, where the historical time period is the historical time period prior to the target time.

[0008] In some embodiments, the charging station recommendation information is determined in the following ways: based on the charging station data of the candidate charging stations in the historical time period, the attribute parameters of the candidate charging stations at the target time are verified to obtain the verified attribute parameters of the candidate charging stations; the recommendation score of the candidate charging stations is determined based on the verified attribute parameters of the candidate charging stations; and the charging station recommendation information is determined based on the recommendation score of the candidate charging stations.

[0009] In some embodiments, the station data of the candidate charging stations within a historical time period includes the charging power of the candidate charging stations within that historical time period; the attribute parameters include the charging power; based on the station data of the candidate charging stations within the historical time period, the attribute parameters of the candidate charging stations at the target time are verified to obtain the verified attribute parameters of the candidate charging stations, including: determining the average charging power based on the charging power of the candidate charging stations within the historical time period; and obtaining the verified charging power based on the average charging power and the charging power of the candidate charging stations at the target time.

[0010] In some embodiments, the verified charging power is obtained based on the average charging power and the charging power of the candidate charging stations at the target time, including: weighted summation of the average charging power and the charging power of the candidate charging stations at the target time to obtain the verified charging power.

[0011] In some embodiments, the station data of candidate charging stations within a historical time period also includes user ratings of charging power; the weighted summation of the average charging power and the charging power of the candidate charging stations at the target time to obtain the verified charging power includes: adjusting a first weight and a second weight based on the user ratings of charging power, where the first weight is the weight corresponding to the average charging power and the second weight is the weight corresponding to the charging power of the candidate charging stations at the target time; and the weighted summation of the average charging power and the charging power of the candidate charging stations at the target time based on the first weight and the second weight to obtain the verified charging power.

[0012] In some embodiments, the station data of the candidate charging stations within a historical time period includes the power changes of the candidate charging stations within the historical time period; the attribute parameters include the station type; based on the station data of the candidate charging stations within the historical time period, the attribute parameters of the candidate charging stations at the target time are verified to obtain the verified attribute parameters of the candidate charging stations, including: based on the power changes of the candidate charging stations within the historical time period, the station type of the candidate charging stations at the target time is verified to obtain the verified station type.

[0013] In some embodiments, the site data of candidate charging stations within a historical time period includes user ratings for charging fees; the attribute parameters include charging fees; based on the site data of candidate charging stations within a historical time period, the attribute parameters of candidate charging stations at a target time are verified to obtain the verified attribute parameters of candidate charging stations, including: when the user rating for charging fees is lower than a preset rating threshold, obtaining the implicit cost information of candidate charging stations, and verifying the charging fees of candidate charging stations based on the implicit cost information to obtain the verified charging fees.

[0014] In some embodiments, the charging cost is determined based on the time it takes for the vehicle to arrive at a candidate charging station, the vehicle charging time curve, and the time rate of the candidate charging station; the vehicle charging time curve is used to characterize the amount of electricity charged by the vehicle at different times.

[0015] In some embodiments, determining station recommendation information based on the recommendation scores of candidate charging stations includes: identifying candidate charging stations that meet the screening criteria from among the candidate charging stations; and determining station recommendation information based on the recommendation scores of the candidate charging stations that meet the screening criteria.

[0016] In some embodiments, determining station recommendation information based on the recommendation scores of candidate charging stations that meet the screening criteria includes: identifying candidate charging stations whose recommendation scores are greater than or equal to a preset score threshold as charging stations in the station recommendation information.

[0017] In some embodiments, the filtering criteria include at least one of the following: the candidate charging station supports a preset charging method, or the candidate charging station has a service site of the target type.

[0018] In some embodiments, the preset charging method includes at least one of the following: fast charging, slow charging, and full charging.

[0019] In some embodiments, the above method further includes: determining a preset charging method based on historical vehicle charging data.

[0020] In some embodiments, vehicle historical charging data includes at least one of the following: charging amount, number of charging cycles, vehicle battery temperature difference, vehicle battery voltage difference, and vehicle battery health.

[0021] In some embodiments, if the first number of times the vehicle is charged is greater than a preset number of times, the preset charging method is slow charging and full charging, and the first number of times the vehicle's charging capacity is lower than a preset capacity.

[0022] In some embodiments, when the vehicle battery temperature difference is greater than a preset temperature difference and / or the vehicle battery voltage difference is greater than a preset voltage difference, the preset charging method is slow charging.

[0023] In some embodiments, when the vehicle battery health is greater than a preset health level, the preset charging method is fast charging.

[0024] In some embodiments, determining the recommended score of a candidate charging station based on the verified attribute parameters of the candidate charging station includes: determining a recommended sub-score for each attribute parameter of the candidate charging station based on the verified attribute parameters of the candidate charging station; and determining the recommended score of the candidate charging station based on the recommended sub-scores for each attribute parameter of the candidate charging station.

[0025] In some embodiments, determining the recommendation score of a candidate charging station based on the recommendation sub-scores of each attribute parameter of the candidate charging station includes: weighted summing of the recommendation sub-scores of each attribute parameter of the candidate charging station based on the weights of each attribute parameter of the candidate charging station to obtain the recommendation score of the candidate charging station.

[0026] In some embodiments, the above method further includes: determining a charging station recommendation strategy based on the user's historical charging behavior data, and obtaining the weights of each attribute parameter of the candidate charging stations.

[0027] In some embodiments, the method further includes: determining the weights of each attribute parameter of the charging station based on the charging station recommendation strategy specified by the user-input charging station recommendation strategy selection instruction.

[0028] In some embodiments, the site recommendation strategy includes at least one of the following: a price-priority site recommendation strategy; a time-priority site recommendation strategy; a service-priority site recommendation strategy; and a distance-priority site recommendation strategy.

[0029] In some embodiments, the attribute parameters include at least one of the following: charging power, charging cost, station type, user rating, and distance between the vehicle and the candidate charging station.

[0030] In some embodiments, when the site recommendation strategy is a price-priority site recommendation strategy, the weight of charging cost is greater than the weight of other attribute parameters.

[0031] In some embodiments, when the site recommendation strategy is a time-priority site recommendation strategy, the weights of charging power, site type, and distance between the vehicle and the candidate charging site are greater than the weights of other attribute parameters.

[0032] In some embodiments, when the site recommendation strategy is a service-first site recommendation strategy, the weight of user rating is greater than the weight of other attribute parameters.

[0033] In some embodiments, under a distance-first site recommendation strategy, the weight of the distance between the vehicle and the candidate charging station is greater than the weight of other attribute parameters.

[0034] Secondly, embodiments of this application provide another charging station recommendation method, which includes: sending charging station recommendation information to the sender of a recommendation request message at a target time; the recommendation request message is used to request recommended charging stations; the target time includes a first time and a second time, the second time being after the first time; the charging stations recommended by the charging station recommendation information displayed at the second time are at least partially different from the charging stations recommended by the charging station recommendation information displayed at the first time.

[0035] Thirdly, an electronic device is provided, comprising: a processor and a memory for storing processor-executable instructions; wherein the processor is configured to execute instructions to implement the site recommendation method described above.

[0036] Fourthly, a computer-readable storage medium is provided, on which computer program instructions are stored, which, when executed by a processor, implement the site recommendation method of any of the above embodiments.

[0037] Fifthly, a vehicle is provided, comprising: the electronic device described above, or the computer-readable storage medium described above.

[0038] Sixthly, a computer program product is provided, the computer program product including computer program instructions that, when executed by a processor, implement the site recommendation method of any of the above embodiments.

[0039] For a detailed description of aspects two through six and their various implementations in this application, please refer to the detailed description in aspect one and its various implementations; and for a detailed description of the beneficial effects of aspects two through six and their various implementations, please refer to the beneficial effect analysis in aspect one and its various implementations, which will not be repeated here. Attached Figure Description

[0040] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 A flowchart illustrating a site recommendation method provided in this application embodiment;

[0042] Figure 2 A flowchart illustrating another site recommendation method provided in this application embodiment;

[0043] Figure 3 A flowchart illustrating yet another site recommendation method provided in this application embodiment;

[0044] Figure 4 A schematic diagram of the structure of a site recommendation device provided in an embodiment of this application;

[0045] Figure 5 A schematic diagram of another site recommendation device provided in this application embodiment;

[0046] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0047] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0048] 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. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0049] In embodiments of this application, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, article, or apparatus that includes that element.

[0050] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0051] In the description of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. "And / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, and B alone. Furthermore, "at least one" means one or more, and "multiple" means two or more.

[0052] Fast charging stations are a crucial way for electric vehicles to quickly replenish their batteries. A major technical challenge is how to intelligently recommend charging stations that meet the user's charging needs during the actual charging process. Related technologies utilize big data analysis of data from vehicles, charging piles, and charging stations, combined with user behavior patterns, charging habits, and preferences, to build charging station selection models and recommend suitable stations. However, the process of a user traveling to a charging station is dynamic and requires real-time updates. During this process, a more suitable charging station might become available, or the chosen station might be occupied. Without updating the recommended charging stations, the user's charging experience may suffer.

[0053] Furthermore, charging stations have numerous attribute parameters, and users' charging needs vary widely. With the increasing prevalence of vehicle-to-grid (V2G) charging stations, including both orderly charging piles and V2G charging piles, are becoming more common. This attracts users to participate in V2G interactions during extended charging periods, significantly reducing charging costs. Consequently, more factors influence users' choice of charging stations, and existing station recommendation methods cannot meet their individual needs. For example, some users prioritize the amenities at charging stations (restrooms, restaurants, etc.), while others focus on charging prices and disregard amenities and distance. Some users prioritize charging time costs and place greater emphasis on station location and charging power. Therefore, current charging station recommendation methods cannot satisfy the personalized needs of users with different consumption habits and charging behaviors.

[0054] To address the aforementioned issues, this application provides a charging station recommendation method. When the station information and vehicle status change during a user's journey to a charging station, the displayed charging station recommendation information is dynamically updated. This ensures that the currently displayed recommendation information better meets the user's charging needs, preventing situations where charging piles are already occupied or malfunctioning when the user arrives at the charging station, thus improving the user's charging experience.

[0055] In addition, the attribute parameters of charging stations are verified by using station data within historical time periods, so that the attribute parameters of charging stations can more realistically reflect the status of charging stations, and the station recommendation information can more accurately recommend charging stations to users.

[0056] Furthermore, it can recommend suitable charging methods to users based on vehicle status, filter recommended charging stations, and suggest more suitable ones. It can also analyze users' charging habits and preferences through historical vehicle charging behavior to recommend charging stations that meet their personalized needs.

[0057] For ease of understanding, the site recommendation method provided in this application will be described in detail below with reference to the accompanying drawings.

[0058] Figure 1 This is a flowchart illustrating a site recommendation method provided in an embodiment of this application. This method can be applied to vehicles (e.g., pure electric vehicles, hybrid electric vehicles, plug-in hybrid electric vehicles, range-extended electric vehicles, gasoline vehicles, etc.) or to electronic devices equipped with vehicle service programs (e.g., mobile phones, computers, in-vehicle displays, etc.). The following description uses an application to vehicles as an example. Figure 1 As shown, the recommended method for this site includes the following steps:

[0059] S101. In response to the site recommendation request, display site recommendation information at the target time.

[0060] In some embodiments, the vehicle can monitor its remaining battery power and issue a power level warning when the remaining power falls below a preset threshold, reminding the user to charge the vehicle. The user can then initiate a depot recommendation request based on this warning. Alternatively, the user can proactively initiate a depot recommendation request based on their needs, vehicle status, and environmental conditions. In response to the user's depot recommendation request, the vehicle can display depot recommendation information on its screen.

[0061] The site recommendation information is used to recommend charging stations. This information can be displayed as text, a list, or an image. For example, a list might include information about the recommended station (e.g., station name, recommendation rating, charging cost, distance, other user reviews, and feature tags), arranged in descending order of recommendation rating. Another example is a map or similar image, where recommended stations can be marked, displaying a recommendation marker or rating. Users can then select a recommended station on the map to view its detailed information.

[0062] For example, the aforementioned feature tags can be used to characterize the features of the recommended charging stations, such as low cost, proximity, and abundance of available charging piles, without limitation. In other words, by displaying feature tags, users can quickly understand the advantages of the recommended charging stations.

[0063] In some embodiments, the vehicle may generate its own depot recommendation information after receiving a depot recommendation request; or, the vehicle may obtain the depot recommendation information from the server after receiving a depot recommendation request.

[0064] The target time includes a first time and a second time, with the second time occurring after the first time. Information from the first station can be recommended at the first time, and information from the second station can be recommended at the second time.

[0065] The charging stations recommended in the second-time site recommendation information are at least partially different from those recommended in the first-time site recommendation information.

[0066] In other words, the charging stations recommended in the second set-top station recommendation information are at least partially different from those recommended in the first set-top station recommendation information. This allows for dynamic updates to the set-top station recommendation information, improving the accuracy of the recommendations.

[0067] In some embodiments, the site recommendation information is determined based on the attribute parameters of the candidate charging sites at the target time and the site data within a historical time period, where the historical time period is the time period prior to the target time.

[0068] As one possible implementation, the first site recommendation information is determined based on the attribute parameters of the candidate charging sites at the first time and the site data within the first historical time period, where the first historical time period is the historical time period prior to the first time.

[0069] The second site recommendation information is determined based on the attribute parameters of the candidate charging sites at the second time and the site data within the second historical time period, which is the historical time period before the second time.

[0070] It should be noted that after a user determines their target charging station based on the initial charging station recommendations displayed immediately, the station data and attribute parameters of the candidate charging stations are dynamically updated during the user's journey to the target charging station. This may result in charging stations that better meet the user's needs appearing, or the target charging station being occupied or experiencing a malfunction. Therefore, during the user's journey to the target charging station (after the initial display), the initial charging station recommendations can be updated based on the updated station data and attribute parameters of the candidate charging stations. If the charging station recommended in the updated initial recommendations differs from the one recommended in the initial recommendations, the updated initial recommendations (i.e., the second set of recommendations) will be displayed in a second display after the initial display.

[0071] The process of determining the recommended information for the site is described below.

[0072] like Figure 2 As shown, the recommended information for the site is determined through the following steps S201-S203:

[0073] S201. Based on the station data of the candidate charging stations within the historical time period, the attribute parameters of the candidate charging stations at the target time are verified to obtain the verified attribute parameters of the candidate charging stations.

[0074] In some embodiments, a preset charging area can be determined based on the vehicle's current location and / or the target charging location, thereby identifying charging stations within the preset charging area as candidate charging stations.

[0075] In some embodiments, the process of determining the preset charging area is as follows:

[0076] One possible implementation is to define a preset charging area as the region within a first preset distance range between the vehicle's current location and the current location. For example, the remaining driving range of the vehicle can be predicted based on its remaining battery power and vehicle status. The region within the vehicle's remaining driving range range of the current location can then be defined as the preset charging area. This ensures that the distance between the candidate charging station and the vehicle is within the vehicle's remaining driving range, preventing the vehicle from running out of power while traveling to a charging station recommended in the station recommendation information.

[0077] Another possible implementation is to determine the target charging location based on the user's settings, such as their home address. Alternatively, the target charging location can be determined within the user's daily activity area based on the vehicle's historical charging behavior. The area within a second preset distance range from the vehicle's current location is then defined as the preset charging zone.

[0078] The following describes the verification process of each attribute parameter of the candidate charging station at the target time in step S201 above:

[0079] (1) Charging power:

[0080] In some embodiments, the station data for candidate charging stations over a historical time period includes the charging power of the candidate charging stations over that historical time period. An average charging power can be determined based on the charging power of the candidate charging stations over the historical time period, and then the verified charging power can be obtained based on the average charging power and the charging power of the candidate charging stations at the target time.

[0081] One possible implementation is to perform a weighted summation of the average charging power and the charging power of the candidate charging stations at the target time to obtain the verified charging power.

[0082] In some embodiments, the station data of candidate charging stations within a historical time period also includes user scores for charging power. A first weight and a second weight can be adjusted based on the user scores for charging power. The first weight is the weight corresponding to the average charging power, and the second weight is the weight corresponding to the charging power of the candidate charging station at a first time. Based on the first and second weights, the average charging power and the charging power of the candidate charging station at the target time are weighted and summed to obtain the verified charging power.

[0083] It should be noted that the user rating of charging power is negatively correlated with the first weight, while it is positively correlated with the second weight. When the user rating of charging power is low, the first weight is increased and the second weight is decreased, so that the verified charging power is closer to the average charging power, avoiding the possibility that the charging power of the candidate charging stations at the target time is not accurate. The verified charging power more accurately reflects the situation of the candidate charging stations.

[0084] As an example, the verified charging power can be determined based on the following expressions (1) and (2):

[0085]

[0086] Where P represents the verified charging power, and k1 represents the first weight. Let W represent the average charging power, W represent the charging power of the candidate charging station at the first moment, k2 represent the second weight, and W1, W2, ..., W2 represent the average charging power. n This indicates the charging power of the candidate charging station within the target historical time period.

[0087] (2) Station type:

[0088] In some embodiments, the station data for candidate charging stations within a historical time period includes the power changes of the candidate charging stations within that historical time period. Based on the power changes of the candidate charging stations within the historical time period, the station type of the candidate charging stations at a target time can be verified to obtain the verified station type.

[0089] The candidate charging stations include the following types: candidate charging stations mainly consisting of integrated charging piles and candidate charging stations mainly consisting of power dispatch charging piles.

[0090] One possible implementation is that if the power fluctuation of a candidate charging station exceeds the power fluctuation range within a historical period, the verified station type is a candidate charging station mainly composed of integrated charging piles.

[0091] Another possible implementation is that if the power fluctuation of the candidate charging station is within the power fluctuation range during the historical period, the verified station type is a candidate charging station mainly composed of power dispatch charging piles.

[0092] It's important to note that integrated charging stations generally do not support power scheduling. This means that during charging at an integrated charging station, the charging power only changes with the vehicle's charging power, and is not affected by whether adjacent charging guns are charging. Power scheduling charging stations, including those with dual charging guns or multiple charging guns, have their charging power affected by the status of adjacent charging guns. For example, in a dual-gun power scheduling charging station, the charging power of the current charging gun will significantly decrease after another charging gun is connected, impacting the user's charging time.

[0093] (3) Charging costs:

[0094] In some embodiments, the site data for candidate charging stations within a historical time period includes user ratings of charging fees. If the user rating for charging fees is lower than a preset rating threshold, implicit cost information of the candidate charging stations can be obtained. The charging fees of the candidate charging stations can then be verified based on this implicit cost information to obtain the verified charging fees.

[0095] One possible approach is to identify hidden costs at candidate charging stations if the user rating for charging fees is lower than a preset rating threshold. These costs could include excessively high parking fees or charging spot fees. The hidden cost information of the candidate charging stations can be obtained and added to their charging fees to arrive at the verified charging fees.

[0096] In some embodiments, the charging cost is determined based on the time the vehicle arrives at a candidate charging station, the vehicle charging time curve, and the time rate of the candidate charging station. The vehicle charging time curve is used to characterize the amount of electricity charged by the vehicle at different times.

[0097] One possible implementation involves predicting the vehicle's charging time based on its remaining battery level and charging time curve, and predicting the vehicle's arrival time at a candidate charging station based on the distance between the vehicle and the candidate charging station, the vehicle's current speed, and road conditions. The charging cost at the selected charging station can then be calculated based on the arrival time, charging duration, and the time rate of the candidate charging station.

[0098] It should be noted that the attribute parameters of candidate charging stations also include user ratings and the distance between the vehicle and the candidate charging station. User ratings can be verified based on the average rating of candidate charging stations over a historical period. The distance between candidate charging stations can be verified based on the vehicle's current location.

[0099] It should also be noted that if the verified user rating is lower than the lower limit, the recommended rating of the candidate charging station can be reduced by a preset value, or the candidate charging station can be removed from the first set of recommended stations to avoid affecting the user's charging experience.

[0100] S202. Determine the recommended score for the candidate charging stations based on the verified attribute parameters of the candidate charging stations.

[0101] In some embodiments, the recommended sub-scores for each attribute parameter of the candidate charging station can be determined based on the verified attribute parameters of the candidate charging station, and then the recommended score of the candidate charging station can be determined based on the recommended sub-scores for each attribute parameter of the candidate charging station.

[0102] One possible approach is to determine the recommendation sub-scores for each attribute parameter of a candidate charging station, and then, based on the weights of each attribute parameter, to perform a weighted summation of the recommendation sub-scores to obtain the recommendation score for the candidate charging station.

[0103] In some embodiments, the attribute parameters include at least one of the following: charging power, charging cost, station type, user rating, and distance between the vehicle and the candidate charging station. The following describes the methods for determining the recommendation sub-ratings for each attribute parameter of the candidate charging station.

[0104] (1) Charging power: The charging power and the recommended sub-score of the charging power are positively correlated. That is, the higher the charging power of the candidate charging station, the higher the vehicle charging efficiency and the higher the recommended sub-score of the charging power.

[0105] (2) Charging cost: The charging cost and the recommendation sub-score for charging cost are negatively correlated. That is, the lower the charging cost, the higher the recommendation sub-score for charging cost.

[0106] (3) Charging Pile Types: Charging piles include integrated charging piles and split charging piles. The recommended sub-score for integrated charging piles is higher than that for split charging piles.

[0107] Integrated charging stations include: single-gun charging stations, dual-gun charging stations, and multi-gun charging stations. The recommended sub-rating for single-gun charging stations is higher than that for dual-gun charging stations, which in turn is higher than that for multi-gun charging stations.

[0108] Split-type charging piles include: flexible distribution split-type charging piles, power distribution split-type charging piles, and ring distribution split-type charging piles. The recommended sub-score for flexible distribution split-type charging piles is higher than that for power distribution split-type charging piles, which in turn is higher than that for ring distribution split-type charging piles.

[0109] It should be noted that each candidate charging station includes at least one charging pile, and the recommended sub-score for the charging pile type can be the average of the recommended sub-scores for the charging pile type of all charging piles in the candidate charging station.

[0110] (4) User ratings: User ratings include at least one of the following: charging power user rating and charging cost user rating. The charging power user rating, charging cost user rating, and the recommended sub-ratings of the user ratings all show a positive correlation. That is, the higher the charging power user rating and charging cost user rating of the candidate charging station, the higher the recommended sub-ratings of the user ratings.

[0111] (5) Distance between vehicle and candidate charging station: The distance between vehicle and candidate charging station is negatively correlated with the recommendation sub-score of the distance between vehicle and candidate charging station. That is, the smaller the distance between vehicle and candidate charging station, the faster the user can reach the charging station to charge the vehicle, and the higher the recommendation sub-score of the distance between vehicle and candidate charging station.

[0112] In some embodiments, the weights of certain attribute parameters can be set to 0, thereby ignoring the influence of attribute parameters with a weight of 0 on the recommendation results during the recommendation process for charging stations.

[0113] In some embodiments, an attribute parameter may have a weight set to 1, meaning that only this attribute parameter with a weight of 1 is considered in the charging station recommendation process.

[0114] The following section introduces how the weights of each attribute parameter of a charging station are determined.

[0115] Method 1: The weights of each attribute parameter of the charging station are predefined. For example, fixed weight values ​​are configured for each attribute parameter of the charging station based on expert experience.

[0116] Method 2: Determine the weights of each attribute parameter of the charging station based on the user's historical charging behavior data.

[0117] In other words, it can obtain behavioral data such as the location of charging stations, charging time, charging amount, charging power, and charging cost of users' historical charging, and then perform self-learning analysis on the user's historical charging behavior data to determine the user's charging preferences and thus determine the weight of each attribute parameter of the charging station.

[0118] For example, based on historical charging behavior data, the location of charging stations can be analyzed to determine whether users consider the distance between the charging station and their vehicle as a primary factor when charging. If the number of times a user charges a vehicle at a distance less than a third preset distance is greater than the number of times a user charges a vehicle at a distance less than a third preset distance, then the user's charging preference is distance-oriented. Therefore, the weight of the distance between the charging station and the vehicle can be set higher than the weight of other attribute parameters of the charging station.

[0119] For example, based on historical charging behavior data, analysis can be conducted to determine whether users prioritize time when charging their vehicles. If, in the historical charging behavior data, the number of times a user charges for a duration less than a preset time exceeds a third preset number of times, the number of times a user charges for a quantity less than a preset number of times exceeds a fourth preset number of times, or the number of times a user charges for a power exceeding a preset power threshold exceeds a fifth preset number of times, then the user's charging preference is time-priority. In this case, the weights of charging pile type and charging pile power in the charging station's attribute parameters can be set higher than the weights of other attribute parameters of the charging station.

[0120] For example, based on historical charging behavior data, analysis can be conducted to determine whether users consider charging cost as a primary factor when charging their vehicles. If the number of times the charging cost is less than a preset cost exceeds a sixth preset number, the user's charging preference is cost-priority. Therefore, the current electricity price of the charging station can be weighted higher than other attribute parameters of the charging station.

[0121] Method 3: Determine the weight of each attribute parameter of the charging station based on the user's input instruction for selecting the charging station recommendation strategy.

[0122] The vehicle's infotainment screen can display the depot recommendation strategy selection interface and introductory information about the recommended strategies. Users can trigger the depot recommendation strategy selection command via buttons, touch, or voice.

[0123] In some embodiments, the charging station recommendation strategy includes at least one of the following: a price-priority charging station recommendation strategy; a time-priority charging station recommendation strategy; a service-priority charging station recommendation strategy; and a distance-priority charging station recommendation strategy. The method for determining the weights of each attribute parameter of the candidate charging station under different charging station recommendation strategies is as follows:

[0124] When the site recommendation strategy is a price-priority strategy, the weight of charging cost is greater than the weight of other attribute parameters.

[0125] When the site recommendation strategy is time-priority, the weights of charging power, site type, and distance between the vehicle and candidate charging sites are greater than the weights of other attribute parameters.

[0126] When the site recommendation strategy is a service-first strategy, the weight of user rating is greater than the weight of other attribute parameters.

[0127] In the case of a distance-first site recommendation strategy, the distance between the vehicle and the candidate charging station has a greater weight than other attribute parameters.

[0128] In some embodiments, multiple weight templates can be set, each indicating the weight of each attribute parameter of the charging station. Different charging station recommendation strategies can be associated with different weight templates.

[0129] S203. Based on the recommendation scores of candidate charging stations, determine the station recommendation information.

[0130] In some embodiments, candidate charging stations that meet the screening criteria can be identified from the candidate charging stations, and station recommendation information can be determined based on the recommendation scores of the candidate charging stations that meet the screening criteria.

[0131] The above screening criteria include at least one of the following:

[0132] Candidate charging stations support preset charging methods;

[0133] The candidate charging stations have service sites of the target type.

[0134] The target type of service site may include at least one of the following: restrooms, restaurants, and repair stations. The target type of service site can be determined by the user.

[0135] The preset charging methods include at least one of the following: fast charging, slow charging, and full charging. The preset charging method is determined based on the vehicle's historical charging data and is suitable for the vehicle's current state, or it is the charging method selected by the user. The user-selected charging method has higher priority than the charging method determined based on the vehicle's historical charging data. If the user has set automatic charging method selection or has not selected a charging method, a charging method will be recommended based on the vehicle's historical charging data.

[0136] In some embodiments, in response to a user's command to select a charging method, the selected charging method is used as the default charging method. It should be noted that the charging method selection interface and introductory information about the charging method can be displayed on the vehicle's infotainment screen or terminal device. Users can trigger the charging method selection command via buttons, touch, or sound.

[0137] In other embodiments, a preset charging method is determined based on historical vehicle charging data. This historical charging data includes at least one of the following: charging capacity, number of charging cycles, vehicle battery temperature difference, vehicle battery voltage difference, and vehicle battery health. The preset charging method is determined as follows: if the first number of charging cycles is greater than a preset number, the preset charging method is slow charging and full charging. The first number of charging cycles is the number of times the vehicle's charging capacity is lower than a preset capacity. If the vehicle battery temperature difference is greater than a preset temperature difference and / or the vehicle battery voltage difference is greater than a preset voltage difference, the preset charging method is slow charging. If the vehicle battery health is greater than a preset health level, the preset charging method is fast charging. It should be understood that historical vehicle charging data can reflect the vehicle's status. By using historical vehicle charging data, a charging method suitable for the vehicle's status can be recommended, which can improve the vehicle's charging efficiency and protect the vehicle battery.

[0138] One possible implementation is to determine the number of candidate charging stations with the highest recommendation scores among those that meet the screening criteria as the charging stations for the station recommendation information.

[0139] Another possible implementation is to identify candidate charging stations with a recommended score greater than or equal to a preset score threshold from among the candidate charging stations that meet the screening criteria as the charging stations in the station recommendation information.

[0140] It should be noted that the recommended charging stations can be one or more. When displaying the recommended charging stations, the stations can be sorted and displayed according to their recommendation ratings, with charging stations with higher recommendation ratings being displayed first.

[0141] This application provides a site recommendation method, which is applied to a server, such as a physical server or a cloud service. The method includes the following steps: sending site recommendation information to the sender of the recommendation request message at a target time.

[0142] The recommendation request message is used to request recommended charging stations. The target time includes a first time and a second time. The second time is after the first time. The charging stations recommended in the station recommendation information displayed in the second time are at least partially different from the charging stations recommended in the station recommendation information displayed in the first time.

[0143] It should be noted that the method for determining the charging stations recommended in the site recommendation information can be found in the description above, and will not be repeated here.

[0144] One possible implementation is that after a user triggers a depot recommendation request, the vehicle controller or terminal device can respond by forwarding the depot recommendation request message to the server. The server can then perform depot recommendation based on the depot recommendation request message and the vehicle's current location, sending the corresponding depot recommendation information to the vehicle controller or terminal device at different times, allowing the vehicle controller to dynamically display the depot recommendation information.

[0145] Figure 3 A flowchart of another site recommendation method provided in the embodiments of this application is shown below. Figure 3 As shown, the site recommendation method provided in this application embodiment includes the following steps:

[0146] S301, User initiates site recommendation request.

[0147] S302. Obtain the attribute parameters and historical data of the candidate charging stations.

[0148] S303. Based on historical charging station data, the attribute parameters of the candidate charging stations are verified to obtain the verified attribute parameters.

[0149] S304. Determine the preset charging method based on the user's selection instruction for the charging method or the vehicle's historical charging data.

[0150] S305. Based on historical charging behavior data or user site recommendation strategy selection instructions, determine the weight of each attribute parameter of the candidate charging site.

[0151] S306. Based on the weights of each attribute parameter of the candidate charging station and the verified attribute parameters, determine the recommended score of the candidate charging station.

[0152] S307. Based on the recommended scores of candidate charging stations and the preset charging methods, determine the recommended station information.

[0153] S308: The user selects a charging station from the station recommendation information and goes there to charge.

[0154] The foregoing mainly describes the solutions of the embodiments of this application from a methodological perspective. It is understood that, in order to achieve the above functions, the site recommendation device includes at least one of the hardware structures and software modules corresponding to each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, the embodiments of this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this application.

[0155] This application embodiment can divide the site recommendation device into functional modules according to the above method embodiment. For example, each function can be divided into a separate functional module, or two or more functions can be integrated into one functional module. The integrated module can be implemented in hardware or software. It should be noted that the module division in this application embodiment is illustrative and only represents one logical functional division. In actual implementation, there may be other division methods. The following description uses the example of dividing each functional module according to each function.

[0156] Figure 4 This is a schematic diagram of a site recommendation device provided in an embodiment of this application. The site recommendation device can execute the site recommendation method provided in the above-described method embodiment. Figure 4 As shown, the site recommendation device 400 includes: a display module 401.

[0157] The display module 401 is used to respond to the charging station recommendation request and display charging station recommendation information at a target time. The target time includes a first time and a second time, with the second time being after the first time. The charging stations recommended by the charging station recommendation information displayed at the second time are at least partially different from the charging stations recommended by the charging station recommendation information displayed at the first time.

[0158] In some embodiments, the site recommendation information is determined based on the attribute parameters of the candidate charging sites at the target time and the site data within a historical time period, where the historical time period is the historical time period prior to the target time.

[0159] In some embodiments, the charging station recommendation information is determined in the following ways: based on the charging station data of the candidate charging stations in the historical time period, the attribute parameters of the candidate charging stations at the target time are verified to obtain the verified attribute parameters of the candidate charging stations; the recommendation score of the candidate charging stations is determined based on the verified attribute parameters of the candidate charging stations; and the charging station recommendation information is determined based on the recommendation score of the candidate charging stations.

[0160] In some embodiments, the charging station recommendation device 400 further includes a verification module 402. The verification module 402 is used to: collect charging station data for candidate charging stations within a historical time period, including the charging power of candidate charging stations within the historical time period; and collect attribute parameters including charging power; determine an average charging power based on the charging power of candidate charging stations within the historical time period; and obtain a verified charging power based on the average charging power and the charging power of candidate charging stations at a target time.

[0161] In some embodiments, the verification module 402 is specifically used to perform a weighted summation of the average charging power and the charging power of the candidate charging stations at the target time to obtain the verified charging power.

[0162] In some embodiments, the station data of candidate charging stations within a historical time period also includes user scores for charging power; the verification module 402 is specifically used to adjust a first weight and a second weight based on the user scores for charging power, wherein the first weight is the weight corresponding to the average charging power and the second weight is the weight corresponding to the charging power of the candidate charging station at the target time; and based on the first weight and the second weight, the average charging power and the charging power of the candidate charging station at the target time are weighted and summed to obtain the verified charging power.

[0163] In some embodiments, the station data of the candidate charging station in the historical time period includes the power change of the candidate charging station in the historical time period; the attribute parameters include the station type; the verification module 402 is used to verify the station type of the candidate charging station at the target time based on the power change of the candidate charging station in the historical time period, so as to obtain the verified station type.

[0164] In some embodiments, the site data of the candidate charging stations within a historical time period includes user ratings for charging fees; the attribute parameters include charging fees; the verification module 402 is used to obtain implicit cost information of the candidate charging stations when the user rating for charging fees is lower than a preset rating threshold, and to verify the charging fees of the candidate charging stations based on the implicit cost information to obtain the verified charging fees.

[0165] In some embodiments, the charging cost is determined based on the time it takes for the vehicle to arrive at a candidate charging station, the vehicle charging time curve, and the time rate of the candidate charging station; the vehicle charging time curve is used to characterize the amount of electricity charged by the vehicle at different times.

[0166] In some embodiments, the charging station recommendation device 400 further includes a determination module 403. The determination module 403 is configured to determine candidate charging stations that meet the screening criteria from the candidate charging stations; and to determine charging station recommendation information based on the recommendation scores of the candidate charging stations that meet the screening criteria.

[0167] In some embodiments, the determining module 403 is specifically used to determine the candidate charging stations whose recommended score is greater than or equal to a preset score threshold among the candidate charging stations that meet the screening conditions as the charging stations in the station recommendation information.

[0168] In some embodiments, the filtering criteria include at least one of the following: the candidate charging station supports a preset charging method, or the candidate charging station has a service site of the target type.

[0169] In some embodiments, the preset charging method includes at least one of the following: fast charging, slow charging, and full charging.

[0170] In some embodiments, the determining module 403 is further configured to determine a preset charging method based on the vehicle's historical charging data.

[0171] In some embodiments, vehicle historical charging data includes at least one of the following: charging amount, number of charging cycles, vehicle battery temperature difference, vehicle battery voltage difference, and vehicle battery health.

[0172] In some embodiments, if the first number of times the vehicle is charged is greater than a preset number of times, the preset charging method is slow charging and full charging, and the first number of times the vehicle's charging capacity is lower than a preset capacity.

[0173] In some embodiments, when the vehicle battery temperature difference is greater than a preset temperature difference and / or the vehicle battery voltage difference is greater than a preset voltage difference, the preset charging method is slow charging.

[0174] In some embodiments, when the vehicle battery health is greater than a preset health level, the preset charging method is fast charging.

[0175] In some embodiments, the determining module 403 is further configured to determine the recommended sub-scores for each attribute parameter of the candidate charging station based on the verified attribute parameters of the candidate charging station; and to determine the recommended score of the candidate charging station based on the recommended sub-scores for each attribute parameter of the candidate charging station.

[0176] In some embodiments, the determining module 403 is specifically used to perform a weighted summation of the recommendation sub-scores of each attribute parameter of the candidate charging station based on the weights of each attribute parameter of the candidate charging station, so as to obtain the recommendation score of the candidate charging station.

[0177] In some embodiments, the determining module 403 is further configured to determine a charging station recommendation strategy based on the user's historical charging behavior data, and obtain the weights of each attribute parameter of the candidate charging stations.

[0178] In some embodiments, the determining module 403 is further configured to determine the weights of each attribute parameter of the charging station based on the station recommendation strategy specified by the user-input station recommendation strategy selection instruction.

[0179] In some embodiments, the site recommendation strategy includes at least one of the following: a price-priority site recommendation strategy; a time-priority site recommendation strategy; a service-priority site recommendation strategy; and a distance-priority site recommendation strategy.

[0180] In some embodiments, the attribute parameters include at least one of the following: charging power, charging cost, station type, user rating, and distance between the vehicle and the candidate charging station.

[0181] In some embodiments, when the site recommendation strategy is a price-priority site recommendation strategy, the weight of charging cost is greater than the weight of other attribute parameters.

[0182] In some embodiments, when the site recommendation strategy is a time-priority site recommendation strategy, the weights of charging power, site type, and distance between the vehicle and the candidate charging site are greater than the weights of other attribute parameters.

[0183] In some embodiments, when the site recommendation strategy is a service-first site recommendation strategy, the weight of user rating is greater than the weight of other attribute parameters.

[0184] In some embodiments, under a distance-first site recommendation strategy, the weight of the distance between the vehicle and the candidate charging station is greater than the weight of other attribute parameters.

[0185] Figure 5 This is a schematic diagram of another site recommendation device provided in an embodiment of this application. The site recommendation device can execute the site recommendation method provided in the above-described method embodiments. For example... Figure 5 As shown, the site recommendation device 500 includes: a sending module 501.

[0186] The sending module 501 is used to send charging station recommendation information to the sending end of the recommendation request message at a target time; the recommendation request message is used to request recommended charging stations; the target time includes a first time and a second time, the second time being after the first time; the charging stations recommended by the charging station recommendation information displayed at the second time are at least partially different from the charging stations recommended by the charging station recommendation information displayed at the first time.

[0187] When implementing the functions of the integrated modules described above in hardware, this application provides a possible structure for the electronic device involved in the above embodiments. For example... Figure 6 As shown, the electronic device 600 includes: a processor 602 and a bus 604. Optionally, the electronic device 600 may also include a memory 601; optionally, the electronic device 600 may also include a communication interface 603.

[0188] Processor 602 may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with embodiments of this application. Processor 602 may be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with embodiments of this application. Processor 602 may also be a combination that implements computing functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0189] Communication interface 603 is used to connect with other devices via a communication network. This communication network can be Ethernet, wireless access network, wireless local area network (WLAN), etc.

[0190] The memory 601 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), disk storage medium or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto.

[0191] As one possible implementation, the memory 601 can exist independently of the processor 602. The memory 601 can be connected to the processor 602 via a bus 604 and is used to store instructions or program code. When the processor 602 calls and executes the instructions or program code stored in the memory 601, it can implement the site recommendation method provided in the embodiments of this application.

[0192] In another possible implementation, the memory 601 can also be integrated with the processor 602.

[0193] Bus 604 can be an extended industry standard architecture (EISA) bus, etc. Bus 604 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 6 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0194] Some embodiments of this application provide a computer-readable storage medium (e.g., a non-transitory computer-readable storage medium) storing computer program instructions that, when executed on a computer, cause the computer to perform a site recommendation method as described in any of the above embodiments.

[0195] For example, the aforementioned computer-readable storage media may include, but are not limited to: magnetic storage devices (e.g., hard disks, floppy disks, or magnetic tapes), optical discs (e.g., compact disks (CDs), digital versatile disks (DVDs), etc.), smart cards, and flash memory devices (e.g., erasable programmable read-only memory (EPROMs), cards, sticks, or key drives, etc.). The various computer-readable storage media described in this application may represent one or more devices and / or other machine-readable storage media for storing information. The term "machine-readable storage medium" may include, but is not limited to, wireless channels and various other media capable of storing, containing, and / or carrying instructions and / or data.

[0196] This application provides a computer program product containing instructions that, when run on a computer, cause the computer to execute the site recommendation method of any of the above embodiments.

[0197] In the description of this specification, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0198] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A site recommendation method, characterized in that, The method includes: In response to the site recommendation request, display the site recommendation information at the target time; The target time includes a first time and a second time, the second time being after the first time; the charging stations recommended by the station recommendation information displayed at the second time are at least partially different from the charging stations recommended by the station recommendation information displayed at the first time.

2. The method according to claim 1, characterized in that, The site recommendation information is determined based on the attribute parameters of the candidate charging sites at the target time and the site data within a historical time period, where the historical time period is the time period prior to the target time.

3. The method according to claim 2, characterized in that, The recommended site information is determined in the following ways: Based on the station data of the candidate charging stations within the historical time period, the attribute parameters of the candidate charging stations at the target time are verified to obtain the verified attribute parameters of the candidate charging stations. The recommended score for the candidate charging stations is determined based on the verified attribute parameters of the candidate charging stations. Based on the recommendation scores of the candidate charging stations, the station recommendation information is determined.

4. The method according to claim 3, characterized in that, The candidate charging station data within the historical time period includes the charging power of the candidate charging station within the historical time period; the attribute parameters include charging power. The step involves verifying the attribute parameters of the candidate charging stations at the target time based on the station data within the historical time period, resulting in verified attribute parameters of the candidate charging stations, including: The average charging power is determined based on the charging power of the candidate charging stations during the historical time period; Based on the average charging power and the charging power of the candidate charging stations at the target time, the verified charging power is obtained.

5. The method according to claim 4, characterized in that, The process of obtaining the verified charging power based on the average charging power and the charging power of the candidate charging stations at the target time includes: The average charging power and the charging power of the candidate charging stations at the target time are weighted and summed to obtain the verified charging power.

6. The method according to claim 5, characterized in that, The data of the candidate charging stations during the historical time period also includes user ratings of charging power. The step of weighted summing of the average charging power and the charging power at the target time of the candidate charging stations to obtain the verified charging power includes: The first weight and the second weight are adjusted based on the user rating of the charging power. The first weight is the weight corresponding to the average charging power, and the second weight is the weight corresponding to the charging power of the candidate charging station at the target time. Based on the first weight and the second weight, the average charging power and the charging power of the candidate charging stations at the target time are weighted and summed to obtain the verified charging power.

7. The method according to claim 3, characterized in that, The candidate charging station data within the historical time period includes the power changes of the candidate charging station within the historical time period; the attribute parameters include the station type. The step involves verifying the attribute parameters of the candidate charging stations at the target time based on the station data within the historical time period, resulting in verified attribute parameters of the candidate charging stations, including: Based on the power changes of the candidate charging stations during the historical time period, the station type of the candidate charging stations at the target time is verified to obtain the verified station type.

8. The method according to claim 3, characterized in that, The candidate charging stations' station data within the historical time period includes user ratings of charging fees; the attribute parameters include charging fees. The step involves verifying the attribute parameters of the candidate charging stations at the target time based on the station data within the historical time period, resulting in verified attribute parameters of the candidate charging stations, including: If the user rating for charging fees is lower than a preset rating threshold, the implicit cost information of the candidate charging stations is obtained, and the charging fees of the candidate charging stations are verified based on the implicit cost information to obtain the verified charging fees.

9. The method according to claim 8, characterized in that, The charging fee is determined based on the time the vehicle arrives at the candidate charging station, the vehicle charging time curve, and the time rate of the candidate charging station; the vehicle charging time curve is used to characterize the amount of electricity charged by the vehicle at different time periods.

10. The method according to claim 3, characterized in that, The process of determining the charging station recommendation information based on the recommendation scores of the candidate charging stations includes: Candidate charging stations that meet the screening criteria are selected from the candidate charging stations. Based on the recommendation scores of the candidate charging stations that meet the screening criteria, the station recommendation information is determined.

11. The method according to claim 10, characterized in that, The process of determining the recommended charging station information based on the recommendation scores of the candidate charging stations that meet the screening criteria includes: Candidate charging stations that meet the screening criteria and whose recommended score is greater than or equal to a preset score threshold are identified as the charging stations in the station recommendation information.

12. The method according to claim 10, characterized in that, The screening criteria include at least one of the following: the candidate charging station supports a preset charging method, or the candidate charging station has a service site of the target type.

13. The method according to claim 12, characterized in that, The preset charging method includes at least one of the following: fast charging, slow charging, and full charging.

14. The method according to claim 13, characterized in that, The method further includes: The preset charging method is determined based on the vehicle's historical charging data.

15. The method according to claim 14, characterized in that, The vehicle's historical charging data includes at least one of the following: charging amount, number of charging cycles, vehicle battery temperature difference, vehicle battery voltage difference, and vehicle battery health.

16. The method according to claim 15, characterized in that, If the first number of times the vehicle is charged is greater than a preset number, the preset charging method is slow charging and full charging, and the first number of times the vehicle's charging capacity is lower than the preset capacity.

17. The method according to claim 15, characterized in that, If the temperature difference of the vehicle battery is greater than a preset temperature difference and / or the voltage difference of the vehicle battery is greater than a preset voltage difference, the preset charging method is slow charging.

18. The method according to claim 15, characterized in that, If the vehicle battery health level is greater than a preset health level, the preset charging method is fast charging.

19. The method according to claim 3, characterized in that, The process of determining the recommendation score for the candidate charging stations based on their verified attribute parameters includes: Based on the verified attribute parameters of the candidate charging stations, a recommendation sub-score for each attribute parameter of the candidate charging stations is determined; Based on the recommendation sub-scores of each attribute parameter of the candidate charging stations, the recommendation score of the candidate charging stations is determined.

20. The method according to claim 19, characterized in that, The process of determining the recommendation score for a candidate charging station based on its attribute parameters includes: Based on the weights of each attribute parameter of the candidate charging station, the recommendation sub-scores of each attribute parameter of the candidate charging station are weighted and summed to obtain the recommendation score of the candidate charging station.

21. The method according to claim 20, characterized in that, The method further includes: Based on users' historical charging behavior data, a site recommendation strategy is determined, and the weights of each attribute parameter of the candidate charging sites are obtained.

22. The method according to claim 20, characterized in that, The method further includes: Based on the site recommendation strategy selected by the user-input site recommendation strategy selection instruction, the weights of each attribute parameter of the charging site are determined.

23. The method according to claim 21 or 22, characterized in that, The site recommendation strategy includes at least one of the following: Price-price-first site recommendation strategy; Time-priority site recommendation strategy; Service-first site recommendation strategy; Distance-based site recommendation strategy.

24. The method according to claim 23, characterized in that, The attribute parameters include at least one of the following: charging power, charging cost, station type, user rating, and distance between the vehicle and the candidate charging station.

25. The method according to claim 24, characterized in that, When the site recommendation strategy is a price-priority site recommendation strategy, the weight of the charging cost is greater than the weight of other attribute parameters.

26. The method according to claim 24, characterized in that, When the site recommendation strategy is a time-priority site recommendation strategy, the weights of the charging power, the site type, and the distance between the vehicle and the candidate charging site are greater than the weights of other attribute parameters.

27. The method according to claim 24, characterized in that, When the site recommendation strategy is a service-first site recommendation strategy, the weight of the user rating is greater than the weight of other attribute parameters.

28. The method according to claim 24, characterized in that, In the case of the distance-first site recommendation strategy, the weight of the distance between the vehicle and the candidate charging station is greater than the weight of other attribute parameters.

29. A site recommendation method, characterized in that, The method includes: Send the site recommendation information to the sender of the recommendation request message at the target time; The recommendation request message is used to request recommended charging stations; the target time includes a first time and a second time, the second time being after the first time; the charging stations recommended in the station recommendation information displayed in the second time are at least partially different from the charging stations recommended in the station recommendation information displayed in the first time.

30. An electronic device, characterized in that, include: A processor and a memory for storing processor-executable instructions; The processor is configured to execute the instructions to implement the method as described in any one of claims 1 to 28, or the method as described in claim 29.

31. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed on a computer, cause the computer to perform the method as claimed in any one of claims 1 to 28, or the method as claimed in claim 29.

32. A vehicle, characterized in that, include: The electronic device as claimed in claim 30, or the computer-readable storage medium as claimed in claim 31.

33. A computer program product, characterized in that, The computer program product includes computer instructions that, when executed on an electronic device, cause the electronic device to perform the method as claimed in any one of claims 1 to 28, or the method as claimed in claim 29.

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