Charging station recommendation degree calculation method and device, equipment, medium and program product

Abstract

The invention relates to a recommendation degree calculation method and device for a charging station, equipment, a medium and a program product. The recommendation degree calculation method comprises the following steps: acquiring current position information of a vehicle, charging waiting time of the vehicle at the current charging station, an environment recommendation score of the charging station and a user recommendation score of a user to the current charging station; the distance score of the current charging station is determined according to the current position information, and the waiting score of the current charging station is determined according to the charging waiting duration; and obtaining a total recommendation score of the current charging station according to the environment recommendation score, the user recommendation score, the distance score and the waiting score, and determining the recommendation degree of the charging station according to the total recommendation score. According to the method, various factors in the charging process are comprehensively considered, the recommendation degree of the charging station is determined according to the total recommendation score of the charging station, the problem that user experience data collection and personalized recommendation are neglected in an existing charging station recommendation technology is solved, and more personalized and comfortable charging service recommendation is provided for users.

Description

Technical Field

[0001] The present invention relates to the field of automobile technology, and in particular to a method, device, equipment, medium and program product for calculating a recommendation degree of a charging station. Background Art

[0002] With the development of new energy vehicles, more and more new energy vehicles are entering thousands of households. The demand for charging stations is gradually expanding. New energy vehicles need to continue to innovate to optimize users' charging experience.

[0003] In the related art, the vehicle analyzes and recommends charging stations based on data information such as the location of the charging station, the distance between the vehicle and the charging station, and the charging power of the charging station.

[0004] However, the relevant technologies lack multi-dimensional data collection, ignore the impact of environmental conditions, lack personalized recommendations, lack real-time data updates, have an imperfect user experience feedback mechanism, and lack a comprehensive scoring system, which need to be urgently addressed. Summary of the invention

[0005] One of the objects of the present invention is to provide a method for calculating the recommendation degree of a charging station, so as to solve the problem of neglecting the collection of user experience data and personalized recommendations in the existing charging station recommendation technology, and provide users with more personalized and comfortable charging service recommendations; the second object is to provide a device for calculating the recommendation degree of a charging station; the third object is to provide an electronic device; the fourth object is to provide a computer-readable storage medium; the fifth object is to provide a computer program product.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is as follows:

[0007] A method for calculating the recommendation degree of a charging station comprises obtaining current position information of a vehicle, a charging waiting time of the vehicle at a current charging station, an environmental recommendation score of the charging station and a user recommendation score of the user for the current charging station; determining a distance score of the current charging station according to the current position information, and determining a waiting score of the current charging station according to the charging waiting time; obtaining a total recommendation score of the current charging station according to the environmental recommendation score, the user recommendation score, the distance score and the waiting score, and determining the recommendation degree of the charging station according to the total recommendation score.

[0008] According to the above technical means, since the present invention not only considers the location and distance of the charging station (by calculating the distance score), but also combines the user's actual experience feedback (user recommendation score), environmental conditions (environmental recommendation score) and waiting time (waiting score), this multi-dimensional scoring system can more comprehensively reflect the overall service quality of a charging station. The introduction of user experience data includes the distance between the vehicle and surrounding vehicles, parking space conditions and congestion conditions; environmental factors include meteorological information and rain and snow shelter facilities; real-time and personalization can obtain and update relevant information of the charging station in real time, and provide personalized recommendations based on the user's current location and personal preferences; by carefully scoring the charging stations, users can find the charging station that best meets their needs, thereby improving the overall user experience and satisfaction. The present invention establishes a more comprehensive and personalized charging station recommendation system by introducing more user experience data and environmental factors.

[0009] Furthermore, obtaining the environmental recommendation score of the charging station includes obtaining meteorological information of the current charging station, and obtaining the meteorological score of the current charging station based on the meteorological information; judging whether the current charging station meets preset rain and snow shelter conditions; if the current charging station meets the preset rain and snow shelter conditions, obtaining the environmental recommendation score based on the rain and snow shelter score and the meteorological score of the current charging station, otherwise, obtaining the environmental recommendation score based on the meteorological score.

[0010] According to the above-mentioned technical means, since the meteorological information and rain and snow protection conditions of the current charging station are obtained to provide users with a comprehensive score on the environmental suitability of the charging station, users can choose a more suitable charging station for charging, thereby ensuring charging safety, improving user experience, and contributing to the popularization of new energy vehicles; at the same time, for charging station operators, this process also helps to optimize the layout and facility configuration of charging stations and improve service quality.

[0011] Furthermore, obtaining the user recommendation score for the current charging station includes obtaining a first score confirmed by the user for the distance between the vehicle and surrounding vehicles, a second score confirmed by the user for the parking space of the current charging station, and a third score confirmed by the user for the congestion situation of the current charging station; the user recommendation score is obtained based on the first score, the second score, and the third score.

[0012] According to the above technical means, a more comprehensive and accurate user recommendation score can be provided to the user.

[0013] Further, determining the distance score of the current charging station based on the current location information includes determining the distance from the vehicle to multiple surrounding charging stations based on the current location information; determining a ranking result of the multiple surrounding charging stations based on the distance from the vehicle to the multiple surrounding charging stations; and obtaining the distance score based on the ranking position of the current charging station in the ranking result.

[0014] According to the above technical means, since distance points are assigned to charging stations, users can more intuitively understand the convenience of the current charging station relative to other charging stations.

[0015] Further, determining the waiting score of the current charging station according to the charging waiting time includes obtaining the waiting score according to a ratio of the charging waiting time to a preset threshold.

[0016] Based on the above technical means, the waiting time is divided into two parts, which provides users with an intuitive indicator to help them quickly understand the current busyness of the charging station and the possible waiting time, which helps users make more informed choices of charging stations.

[0017] A device for calculating the recommendation degree of a charging station, comprising an acquisition module for acquiring current position information of a vehicle, a charging waiting time of the vehicle at a current charging station, an environmental recommendation score of the charging station and a user recommendation score of the user for the current charging station; a determination module for determining a distance score of the current charging station according to the current position information, and a waiting score of the current charging station according to the charging waiting time; and a calculation module for obtaining a total recommendation score of the current charging station according to the environmental recommendation score, the user recommendation score, the distance score and the waiting score, and determining the recommendation degree of the charging station according to the total recommendation score.

[0018] Furthermore, the acquisition module is specifically used to: acquire the meteorological information of the current charging station, and obtain the meteorological score of the current charging station based on the meteorological information; determine whether the current charging station meets the preset rain and snow shelter conditions; if the current charging station meets the preset rain and snow shelter conditions, obtain the environmental recommendation score based on the rain and snow shelter score and the meteorological score of the current charging station, otherwise, obtain the environmental recommendation score based on the meteorological score.

[0019] Furthermore, the acquisition module is specifically used to: acquire the meteorological information of the current charging station, and obtain the meteorological score of the current charging station based on the meteorological information; determine whether the current charging station meets the preset rain and snow shelter conditions; if the current charging station meets the preset rain and snow shelter conditions, obtain the environmental recommendation score based on the rain and snow shelter score and the meteorological score of the current charging station, otherwise, obtain the environmental recommendation score based on the meteorological score.

[0020] Furthermore, the acquisition module is specifically used to: obtain a first score confirmed by the user for the distance between the vehicle and surrounding vehicles, a second score confirmed by the user for the parking space of the current charging station, and a third score confirmed by the user for the congestion situation of the current charging station; and obtain the user recommendation score based on the first score, the second score, and the third score.

[0021] Furthermore, the determination module is specifically used to: determine the distance from the vehicle to multiple surrounding charging stations based on the current position information; determine the sorting results of the multiple surrounding charging stations based on the distance from the vehicle to multiple surrounding charging stations; and obtain the distance score according to the sorting position of the current charging station in the sorting results.

[0022] Furthermore, the determination module is specifically used to obtain the waiting score according to the ratio of the charging waiting time and a preset threshold.

[0023] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the above-mentioned method for calculating the recommendation degree of a charging station.

[0024] A computer-readable storage medium stores a computer program thereon, wherein the program is executed by a processor to implement the above-mentioned method for calculating the recommendation degree of a charging station.

[0025] A computer program product includes a computer program, wherein the computer program implements the above-mentioned method for calculating the recommendation degree of a charging station when executed by a processor.

[0026] Beneficial effects of the present invention:

[0027] (1) The present invention can provide users with a more comfortable and convenient charging experience by comprehensively considering multiple factors such as the location of the charging station, waiting time, environmental conditions, and user feedback;

[0028] (2) The present invention uses data collected by the new energy vehicle's own sensors to calculate the score, making the recommendation more accurate and reliable, and can be continuously optimized as the data accumulates, making the recommendation results more valuable for reference. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a flow chart of a method for calculating the recommendation degree of a charging station according to an embodiment of the present invention;

[0030] Figure 2 This is a schematic diagram of the current sunlight exposure condition of a charging station according to an embodiment of the present invention;

[0031] Figure 3A schematic diagram of the distance of surrounding vehicles when charging at a charging station according to an embodiment of the present invention;

[0032] Figure 4 A flowchart of experience optimization of a charging map according to an embodiment of the present invention;

[0033] Figure 5 is a block diagram of a device for calculating a recommendation degree of a charging station according to an embodiment of the present invention;

[0034] Figure 6 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0035] The following will describe the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, not for limiting the scope of protection of the present invention.

[0036] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0037] Specifically, Figure 1 A flowchart of a method for calculating a recommendation degree of a charging station provided in an embodiment of the present application.

[0038] like Figure 1 As shown, this embodiment proposes a method for calculating the recommendation degree of a charging station, including the following steps:

[0039] In step S101, the current location information of the vehicle, the charging waiting time of the vehicle at the current charging station, the environmental recommendation score of the charging station and the user recommendation score of the user for the current charging station are obtained.

[0040] Specifically, obtaining the vehicle's current location information is usually achieved through the vehicle's GPS system or mobile phone positioning function to provide the system with the vehicle's precise location; obtaining the vehicle's charging waiting time at the current charging station requires communication with the charging station's management system or data interface to obtain the current vehicle waiting time for charging; obtaining the charging station's environmental recommendation score may be based on a variety of environmental factors, such as weather conditions, the condition of the charging station's facilities, and the surrounding safety conditions; obtaining the user's recommendation score for the current charging station usually comes from user reviews, ratings or feedback, reflecting the user's views on the charging station's service quality.

[0041] Optionally, in some embodiments, obtaining the environmental recommendation score of the charging station includes: obtaining meteorological information of the current charging station, and obtaining the meteorological score of the current charging station based on the meteorological information; determining whether the current charging station meets preset rain and snow shelter conditions; if the current charging station meets the preset rain and snow shelter conditions, obtaining the environmental recommendation score based on the rain and snow shelter score and meteorological score of the current charging station, otherwise, obtaining the environmental recommendation score based on the meteorological score.

[0042] In this embodiment, the embodiment of the present application obtains the meteorological information of the current charging station through a meteorological data interface or sensor, such as temperature, humidity, rainfall / snow conditions, light, etc., and calculates a meteorological score reflecting the impact of the current weather conditions on the charging experience according to the preset scoring criteria and meteorological information. For example, the brightness of the sun is detected by the vehicle's camera, and the meteorological score is calculated in combination with the weather. Strong sunshine may increase the meteorological score, such as Figure 2 As shown; high temperature or heavy rain may reduce the meteorological score. The preset rain and snow shelter condition is to evaluate the protection measures provided by the charging station in rainy and snowy weather. The embodiment of the present application checks whether the current charging station has rain and snow shelter facilities, such as rain shelters, snow shelters, etc., and determines whether these facilities can meet the preset rain and snow shelter conditions, which may include the size, coverage, durability, etc. of the facilities. If the current charging station meets the preset rain and snow shelter conditions, the system will calculate a comprehensive environmental recommendation score based on the rain and snow shelter score (a score reflecting the quality and effect of rain and snow shelter facilities) and the meteorological score of the current charging station through weighted summation or other algorithms. Charging stations with higher rain and snow shelter scores may obtain higher environmental recommendation scores in bad weather. If the current charging station does not meet the preset rain and snow shelter conditions, the system will only calculate the environmental recommendation score based on the meteorological score, without considering the impact of the rain and snow shelter score; in this case, the meteorological score will become the main factor in determining the environmental recommendation score. That is to say, the embodiment of the present application can use the new energy vehicle to judge the ambient light during the charging process, and judge whether the current time is day or night, whether the surrounding area is in an indoor environment or has conditions to shelter from rain and snow, and can also judge based on the situation of wipers to determine whether the charging environment is good, thereby obtaining the environmental recommendation score s of the charging station.

[0043] Optionally, in some embodiments, obtaining a user recommendation score for the current charging station includes: obtaining a first score confirmed by the user for the distance between the vehicle and surrounding vehicles, a second score confirmed by the user for the parking space of the current charging station, and a third score confirmed by the user for the congestion situation of the current charging station; and obtaining a user recommendation score based on the first score, the second score, and the third score.

[0044] In this embodiment, the first score of the distance between the vehicle and the surrounding vehicles is that the user may evaluate the distance between the vehicle and the surrounding vehicles after the vehicle is parked based on his or her own preferences or safety considerations. Figure 3 As shown; obtaining the second score of the user's confirmation of the parking space at the current charging station means that the user may evaluate the clarity of the parking space markings, the number of parking spaces, and whether it is easy to find a parking space at the charging station; obtaining the third score of the user's congestion at the current charging station means that the user may evaluate the degree of congestion at the charging station, including the number of vehicles waiting to charge, the convenience of entering and exiting the charging station, and the overall traffic flow of the charging station. According to the actual situation or user preference, a weight is set for each score (first score, second score, third score), and these weights reflect the importance of each dimension in the user's evaluation. The score is calculated to obtain a comprehensive user recommendation score. If necessary, the user recommendation score can be standardized to ensure that the score is within a specific range (such as 0-100). In other words, the user can score the surrounding charging environment and the distance from the surrounding vehicles (the vehicle panorama is calculated according to a certain distance of 100cm). After the user completes charging, the charging experience is prompted, the vehicle computer analysis is provided, and it is provided to the user for confirmation, or directly stored, so as to obtain the user's user recommendation score d for the current charging station.

[0045] In step S102, the distance score of the current charging station is determined according to the current location information, and the waiting score of the current charging station is determined according to the charging waiting time.

[0046] Specifically, the score calculation stage determines the distance score of the current charging station based on the current location information, uses a geographic information system (GIS) algorithm to calculate the distance based on the current location of the vehicle and the location of the charging station, and derives the distance score based on a preset mapping relationship between the distance and the score; based on a mapping relationship between the waiting time at the charging station and the score (which may be a preset function or threshold table), the waiting time is converted into a waiting score.

[0047] Optionally, in some embodiments, the distance score of the current charging station is determined based on the current location information, including: determining the distance from the vehicle to multiple surrounding charging stations based on the current location information; determining a ranking result of multiple surrounding charging stations based on the distance from the vehicle to multiple surrounding charging stations; and obtaining a distance score based on the ranking position of the current charging station in the ranking result.

[0048] In this embodiment, the embodiment of the present application obtains the current location information of the vehicle, which is usually achieved through the vehicle's GPS system or mobile phone positioning function, and uses geographic information system (GIS) technology or related algorithms to calculate the straight-line distance or actual driving distance from the vehicle to multiple surrounding charging stations; the embodiment of the present application sorts the calculated distances, usually in order from near to far, and this sorting result reflects the relative distance between the vehicle and each charging station; according to the position of the current charging station in the sorting result, a distance score is assigned to it. The allocation of distance points can be based on a preset scoring rule or algorithm; for example, it can be set that the charging station closest to the vehicle gets the highest score (such as 100 points), and then as the distance increases, the score gradually decreases.

[0049] It is understandable that the SDK of common map providers can be used to search for charging stations and obtain the number of fast and slow charging stations and the current occupancy status. Sort by distance first, and according to the distance score, generally the top ten are ranked and calculated as 1 point; in the following formula, i represents the ranking position of the charging station, and those exceeding the top ten are calculated as negative points.

[0050] x=10-(i*0.5)

[0051] Optionally, in some embodiments, determining the waiting score of the current charging station according to the charging waiting time includes: obtaining the waiting score according to a ratio of the charging waiting time to a preset threshold.

[0052] Specifically, the embodiments of the present application usually obtain the charging waiting time of the current charging station by real-time monitoring of the usage, queuing or user feedback of the charging station; the charging waiting time may refer to the actual length of time that the vehicle needs to wait for charging after arriving at the charging station. The preset threshold is a parameter used to determine the upper and lower limits of the waiting score, which can be set according to system requirements or user preferences; for example, the preset threshold can be set to 100 (indicating the highest waiting score) and 0 (indicating the lowest waiting score). The system of the embodiment of the present application compares the charging waiting time with the preset threshold and calculates their ratio, which reflects the length of the charging waiting time relative to the preset threshold. Based on the calculated ratio, a preset scoring rule or algorithm is used to determine the waiting score. The preset threshold may be a threshold pre-set by the user, a threshold obtained through a limited number of experiments, or a threshold obtained through a limited number of computer simulations, which is not specifically limited here.

[0053] For example, to reduce the psychological experience score, the preset threshold is assumed to be calculated every 5 minutes. After the vehicle reaches the parking lot destination, the consumption time starts to be calculated, and the consumption time of parking and charging is calculated. New energy vehicles can obtain the time after the navigation arrives at the destination, and then obtain the consumption time of the new energy vehicle plugging in the charging plug. This time is calculated according to t1 minutes. The calculation formula for waiting points can be as follows:

[0054]

[0055] Among them, tim e is the waiting time, and t1 is the charging waiting time.

[0056] In step S103, the total recommendation score of the current charging station is obtained according to the environment recommendation score, the user recommendation score, the distance score and the waiting score, and the recommendation degree of the charging station is determined according to the total recommendation score.

[0057] Specifically, in the comprehensive evaluation stage, the recommended total score of the current charging station is obtained based on the environmental recommendation score, user recommendation score, distance score and waiting score. The above four scores are weighted and summed according to certain weights, or integrated through more complex algorithms to obtain a comprehensive recommended total score. For example, the recommended total score of the current charging station is:

[0058] sum = x - time + d + s

[0059] Therefore, after obtaining the total recommendation score of the current charging station, the embodiment of the present application can compare the total recommendation score with a preset score range or threshold to determine the recommendation degree of the charging station. For example, different recommendation levels (such as "strongly recommended", "recommended", "general", "not recommended", etc.) can be set, and a corresponding score range can be set for each level, providing users with a comprehensive and objective evaluation of the recommendation degree of the charging station.

[0060] It should be noted that the embodiment of the present application can store the experience scores and characteristics of all charging stations, upload them to the cloud, and save them for different vehicles. In addition, when calculating the recommendation test, the vehicle can use the value scored by the vehicle itself. If the vehicle has not been to a charging station, the average score value is used, and when sending the charging station experience data, the characteristics of the charging station, such as various environments, are provided.

[0061] The following describes in detail a method for calculating the recommendation degree of a charging station in conjunction with a specific embodiment of the present application.

[0062] Specifically, Figure 4 As shown, the method for calculating the recommended degree of the charging station includes the following steps:

[0063] 1. Start: The system starts and obtains the preliminary charging station experience score from the cloud.

[0064] 2. Charging station ranking: The charging stations are ranked according to the charging station experience scores provided by the cloud.

[0065] 3. Charging station information: Get relevant information of the charging station, such as address, number of charging piles, etc., through the map provider SDK.

[0066] 4. Calculate score by distance: Based on the vehicle’s location information, the charging station’s score is calculated based on the principle of distance priority.

[0067] 5. Timing starts: When the vehicle arrives at the destination, the time it takes to reach the charging station begins to be recorded.

[0068] 6. Charging starts: The vehicle starts charging and the timing stops at the same time.

[0069] 7. Detection environment: Detect the environment around the charging station, including vehicle spacing, sunlight, rain and snow, etc.

[0070] 8. Calculate total score: Calculate the total score of the charging station based on the detected environmental information and timing results.

[0071] According to the method for calculating the recommendation degree of a charging station proposed in the embodiment of the present application, the current location information of the vehicle, the charging waiting time of the vehicle at the current charging station, the environmental recommendation score of the charging station, and the user recommendation score of the user for the current charging station are obtained; the distance score of the current charging station is determined according to the current location information, and the waiting score of the current charging station is determined according to the charging waiting time; the total recommendation score of the current charging station is obtained according to the environmental recommendation score, the user recommendation score, the distance score, and the waiting score, and the recommendation degree of the charging station is determined according to the total recommendation score. The present invention comprehensively considers various factors in the charging process, determines the recommendation degree of the charging station according to the total recommendation score of the charging station, solves the problem of ignoring the collection of user experience data and personalized recommendations in the existing charging station recommendation technology, and provides users with more personalized and comfortable charging service recommendations.

[0072] Next, a device for calculating the recommendation degree of a charging station according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0073] Figure 5 4 is a block diagram of a device for calculating a recommendation degree of a charging station according to an embodiment of the present application.

[0074] like Figure 5 As shown, the charging station recommendation degree calculation device 10 includes: an acquisition module 100 , a determination module 200 , and a calculation module 300 .

[0075] The acquisition module 100 is used to acquire the current location information of the vehicle, the charging waiting time of the vehicle at the current charging station, the environmental recommendation score of the charging station, and the user recommendation score of the user for the current charging station;

[0076] The determination module 200 is used to determine the distance score of the current charging station according to the current location information, and determine the waiting score of the current charging station according to the charging waiting time;

[0077] The calculation module 300 is used to obtain the total recommendation score of the current charging station according to the environment recommendation score, the user recommendation score, the distance score and the waiting score, and determine the recommendation degree of the charging station according to the total recommendation score.

[0078] In an embodiment of the present application, the acquisition module is specifically used to: obtain the meteorological information of the current charging station, and obtain the meteorological score of the current charging station based on the meteorological information; determine whether the current charging station meets the preset rain and snow shelter conditions; if the current charging station meets the preset rain and snow shelter conditions, then obtain the environmental recommendation score based on the rain and snow shelter score and meteorological score of the current charging station, otherwise, obtain the environmental recommendation score based on the meteorological score.

[0079] In an embodiment of the present application, the acquisition module is specifically used to: obtain the meteorological information of the current charging station, and obtain the meteorological score of the current charging station based on the meteorological information; determine whether the current charging station meets the preset rain and snow shelter conditions; if the current charging station meets the preset rain and snow shelter conditions, then obtain the environmental recommendation score based on the rain and snow shelter score and meteorological score of the current charging station, otherwise, obtain the environmental recommendation score based on the meteorological score.

[0080] In an embodiment of the present application, the acquisition module is specifically used to: obtain a first score confirmed by the user for the distance between the vehicle and surrounding vehicles, a second score confirmed by the user for the parking space at the current charging station, and a third score confirmed by the user for the congestion situation at the current charging station; and obtain a user recommendation score based on the first score, the second score, and the third score.

[0081] In an embodiment of the present application, the determination module is specifically used to: determine the distance from the vehicle to multiple surrounding charging stations based on the current location information; determine the ranking results of multiple surrounding charging stations based on the distance from the vehicle to multiple surrounding charging stations; and obtain a distance score according to the ranking position of the current charging station in the ranking result.

[0082] In the embodiment of the present application, the determination module is specifically used to obtain a waiting score according to the ratio of the charging waiting time and a preset threshold.

[0083] It should be noted that the above explanations of the embodiment of the method for calculating the recommendation degree of a charging station are also applicable to the device for calculating the recommendation degree of a charging station in this embodiment, and will not be repeated here.

[0084] According to the embodiment of the present application, a device for calculating the recommendation degree of a charging station is proposed, which obtains the current location information of the vehicle, the charging waiting time of the vehicle at the current charging station, the environmental recommendation score of the charging station, and the user recommendation score of the current charging station by the user; determines the distance score of the current charging station according to the current location information, and determines the waiting score of the current charging station according to the charging waiting time; obtains the total recommendation score of the current charging station according to the environmental recommendation score, the user recommendation score, the distance score, and the waiting score, and determines the recommendation degree of the charging station according to the total recommendation score. The present invention comprehensively considers various factors in the charging process, determines the recommendation degree of the charging station according to the total recommendation score of the charging station, solves the problem of ignoring the collection of user experience data and personalized recommendations in the existing charging station recommendation technology, and provides users with more personalized and comfortable charging service recommendations.

[0085] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0086] A memory 601 , a processor 602 , and a computer program stored in the memory 601 and executable on the processor 602 .

[0087] When the processor 602 executes the program, the method for calculating the recommendation degree of the charging station provided in the above embodiment is implemented.

[0088] Furthermore, the electronic device further comprises:

[0089] The communication interface 603 is used for communication between the memory 601 and the processor 602 .

[0090] The memory 601 is used to store computer programs that can be executed on the processor 602 .

[0091] The memory 601 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0092] If the memory 601, the processor 602 and the communication interface 603 are implemented independently, the communication interface 603, the memory 601 and the processor 602 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0093] Optionally, in a specific implementation, if the memory 601, the processor 602 and the communication interface 603 are integrated on a chip, the memory 601, the processor 602 and the communication interface 603 can communicate with each other through an internal interface.

[0094] The processor 602 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0095] The embodiment of the present application further proposes a computer-readable storage medium on which a computer program is stored, wherein the program is executed by a processor to implement the above-mentioned method for calculating the recommendation degree of a charging station.

[0096] The embodiment of the present application further proposes a computer program product, including a computer program, characterized in that when the computer program is executed by a processor, the above-mentioned method for calculating the recommendation degree of a charging station is implemented.

[0097] The present invention adopts a charging station recommendation method, which comprehensively considers the current location of the vehicle, the charging waiting time, the environmental conditions and the user feedback, calculates the distance score, the waiting score, the environmental recommendation score and the user recommendation score to obtain the total recommendation score of the charging station, thereby realizing a more intelligent, personalized and comprehensive charging station recommendation service and improving the user experience.

[0098] The above embodiments are only preferred embodiments for fully illustrating the present invention, and the protection scope of the present invention is not limited thereto. Any equivalent substitution or change made by a person skilled in the art based on the present invention is within the protection scope of the present invention.

Claims

1. A method for calculating the recommendation degree of a charging station, characterized in that: The following steps are involved: Acquire the current location information of the vehicle, the charging waiting time of the vehicle at the current charging station, the environmental recommendation score of the charging station, and the user recommendation score of the user for the current charging station; Determine the distance score of the current charging station according to the current location information, and determine the waiting score of the current charging station according to the charging waiting time; The total recommendation score of the current charging station is obtained according to the environment recommendation score, the user recommendation score, the distance score and the waiting score, and the recommendation degree of the charging station is determined according to the total recommendation score.

2. The method according to claim 1, characterized in that The obtaining of the environmental recommendation score of the charging station includes: Acquire the meteorological information of the current charging station, and obtain the meteorological score of the current charging station according to the meteorological information; Determining whether the current charging station meets the preset rain and snow protection conditions; If the current charging station meets the preset rain and snow shelter condition, the environmental recommendation score is obtained according to the rain and snow shelter score and the meteorological score of the current charging station; otherwise, the environmental recommendation score is obtained according to the meteorological score.

3. The method according to claim 1 is characterized in that The obtaining of the user recommendation score of the current charging station includes: Obtaining a first score confirmed by the user for the distance between the vehicle and surrounding vehicles, a second score confirmed by the user for the parking space of the current charging station, and a third score confirmed by the user for the congestion situation of the current charging station; The user recommendation score is obtained according to the first score, the second score and the third score.

4. The method according to claim 1, characterized in that: The determining the distance score of the current charging station according to the current location information includes: Based on the current location information, determining the distance from the vehicle to a plurality of surrounding charging stations; Determine a ranking result of the plurality of surrounding charging stations based on the distances from the vehicle to the plurality of surrounding charging stations; The distance score is obtained according to the ranking position of the current charging station in the ranking result.

5. The method according to claim 1, characterized in that: The determining the waiting time of the current charging station according to the charging waiting time includes: The waiting score is obtained according to a ratio of the charging waiting time to a preset threshold.

6. A device for calculating the recommended degree of a charging station, characterized in that: The following steps are involved: An acquisition module, used to acquire the current location information of the vehicle, the charging waiting time of the vehicle at the current charging station, the environmental recommendation score of the charging station and the user recommendation score of the user for the current charging station; a determination module, configured to determine a distance point of the current charging station according to the current location information, and determine a waiting point of the current charging station according to the charging waiting time; A calculation module is used to obtain a total recommendation score of the current charging station according to the environment recommendation score, the user recommendation score, the distance score and the waiting score, and determine a recommendation degree of the charging station according to the total recommendation score.

7. The device for calculating the recommended degree of a charging station according to claim 6, characterized in that: The acquisition module is specifically used for: Acquire the meteorological information of the current charging station, and obtain the meteorological score of the current charging station according to the meteorological information; Determining whether the current charging station meets the preset rain and snow protection conditions; If the current charging station meets the preset rain and snow shelter condition, the environmental recommendation score is obtained according to the rain and snow shelter score and the meteorological score of the current charging station; otherwise, the environmental recommendation score is obtained according to the meteorological score.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for calculating the recommendation degree of a charging station as described in any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the method for calculating the recommendation degree of a charging station as described in any one of claims 1 to 5.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for calculating the recommendation degree of a charging station as described in any one of claims 1 to 5 is implemented.

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