Method and device for selecting charging pile, vehicle and storage medium

CN118024932BActive Publication Date: 2026-10-09GREAT WALL MOTOR CO LTD
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Patent Information

Application Number
CN202410378503.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-03-29
Publication Date
2026-10-09
Estimated Expiration
2044-03-29

AI Technical Summary

Technical Problem

但由于充电桩的类型越来越多,不同的充电桩对应的充电速度或充电功率不同,导致用户所选择的充电桩存在无法匹配充电需求的情况,从而影响用户的充电体验

Benefits of technology

[0022] The beneficial effects of the technical solutions provided in some embodiments of this application include at least the following: The charging pile selection method provided in this application determines the duration score data corresponding to the first charging pile based on the charging parameter information of the first charging pile, the vehicle's power parameter information, and the vehicle's estimated parking time; determines the power score data corresponding to the first charging pile based on the charging parameter information and power parameter information; performs weighted processing on the duration score data and the power score data to obtain the comprehensive score data of the first charging pile; and determines the second charging pile for charging the vehicle from the multiple candidate charging piles based on the comprehensive score data of each candidate charging pile. The relevant information of the charging pile and the vehicle serves as a condition for selecting the charging pile, improving the matching between the selected charging pile and the charging demand, and enhancing the charging experience.

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Abstract

The application provides a charging pile selection method and device, a vehicle and a storage medium, which are applied to a vehicle. The method comprises the following steps: acquiring charging parameter information of a first charging pile, the first charging pile being any charging pile in a plurality of to-be-selected charging piles for the vehicle; acquiring electric quantity parameter information of the vehicle and an estimated parking duration of the vehicle; determining time duration score data corresponding to the first charging pile based on the charging parameter information, the electric quantity parameter information and the estimated parking duration; determining electric quantity score data corresponding to the first charging pile based on the charging parameter information and the electric quantity parameter information; performing weighted processing on the time duration score data and the electric quantity score data to obtain comprehensive score data of the first charging pile; and determining a second charging pile for charging the vehicle from the plurality of to-be-selected charging piles based on the comprehensive score data of each to-be-selected charging pile in the plurality of to-be-selected charging piles. The matching between the selected charging pile and the charging demand and the charging experience are improved.
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Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method, apparatus, vehicle, and storage medium for selecting a charging pile. Background Technology

[0002] With the rapid development of the automotive industry, electric vehicles are gradually becoming the industry trend. To meet the charging needs of more users, charging piles are installed in most parking locations or charging stations. However, due to the increasing variety of charging piles, and the different charging speeds or powers offered by different piles, users may find that the chosen charging pile is incompatible with their charging needs, thus affecting their charging experience. Summary of the Invention

[0003] This application provides a method, device, vehicle, and storage medium for selecting charging piles. The method can improve the matching between the selected charging pile and charging demand, as well as the charging experience.

[0004] Firstly, a method for selecting charging stations is provided, applied to vehicles, the method comprising:

[0005] Obtain the charging parameter information of the first charging pile, wherein the first charging pile is any one of a plurality of selectable charging piles for the vehicle.

[0006] Obtain the vehicle's battery level and estimated parking time.

[0007] Based on the charging parameter information, the power parameter information, and the estimated parking duration, the duration score data corresponding to the first charging pile is determined;

[0008] Based on the charging parameter information and the power parameter information, determine the power rating data corresponding to the first charging pile;

[0009] The duration score data and the power consumption score data are weighted and processed to obtain the comprehensive score data of the first charging pile;

[0010] Based on the comprehensive score data of each of the plurality of candidate charging piles, a second charging pile for charging the vehicle is determined from the plurality of candidate charging piles.

[0011] Secondly, a charging pile selection device is provided for use in vehicles, the device comprising:

[0012] The first acquisition module is used to acquire the charging parameter information of the first charging pile, wherein the first charging pile is any one of a plurality of selectable charging piles for the vehicle.

[0013] The second acquisition module is used to acquire the vehicle's battery power parameters and the vehicle's estimated parking time.

[0014] The first determining module is used to determine the duration score data corresponding to the first charging pile based on the charging parameter information, the power parameter information and the expected parking duration;

[0015] The second determining module is used to determine the power rating data corresponding to the first charging pile based on the charging parameter information and the power parameter information.

[0016] The processing module is used to perform weighted processing on the duration score data and the power score data to obtain the comprehensive score data of the first charging pile;

[0017] The selection module is used to determine a second charging pile for charging the vehicle from the plurality of charging piles, based on the comprehensive scoring data of each of the plurality of charging piles to be selected.

[0018] Thirdly, a vehicle is provided, the vehicle comprising:

[0019] Memory, used to store executable program code;

[0020] A processor is configured to call and run the executable program code from the memory, causing the vehicle to perform the charging station selection method as described in any of the preceding claims.

[0021] Fourthly, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program that, when executed, implements the charging pile selection method as described in any of the preceding claims.

[0022] The beneficial effects of the technical solutions provided in some embodiments of this application include at least the following: The charging pile selection method provided in this application determines the duration score data corresponding to the first charging pile based on the charging parameter information of the first charging pile, the vehicle's power parameter information, and the vehicle's estimated parking time; determines the power score data corresponding to the first charging pile based on the charging parameter information and power parameter information; performs weighted processing on the duration score data and the power score data to obtain the comprehensive score data of the first charging pile; and determines the second charging pile for charging the vehicle from the multiple candidate charging piles based on the comprehensive score data of each candidate charging pile. The relevant information of the charging pile and the vehicle serves as a condition for selecting the charging pile, improving the matching between the selected charging pile and the charging demand, and enhancing the charging experience. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art 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.

[0024] Figure 1 This is a schematic diagram of the first method for selecting charging piles provided in the embodiments of this application.

[0025] Figure 2 This is a schematic diagram of the second process for selecting charging piles provided in the embodiments of this application.

[0026] Figure 3 This is a schematic diagram of the third scenario of the charging pile selection method provided in the embodiments of this application.

[0027] Figure 4 This is a schematic diagram of the structure of the charging pile selection device provided in the embodiments of this application.

[0028] Figure 5 This is a schematic diagram of the first structure of the vehicle provided in the embodiments of this application.

[0029] Figure 6 This is a schematic diagram of a second structural representation of the vehicle provided in this application embodiment. Detailed Implementation

[0030] To make the features and advantages of this application more apparent and understandable, the technical solutions in 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.

[0031] In the following description, when referring to the accompanying drawings, the same numbers in different drawings denote the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0032] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.

[0033] With the rapid development of the automotive industry, electric vehicles are gradually becoming the industry trend. To meet the charging needs of more users, charging piles are installed in most parking locations or charging stations. However, due to the increasing variety of charging piles, and the different charging speeds or powers offered by different piles, users may find that the chosen charging pile is incompatible with their charging needs, thus affecting their charging experience.

[0034] For example, if a user needs to charge a small amount of electricity, but the selected charging station has a high charging power, the charging time for the vehicle will be relatively short. If the user cannot return to the location of the charging station when charging is complete, the charging station will be unused and a parking fee will be incurred.

[0035] For example, if a user needs a large amount of electricity to charge, but the selected charging station has a low charging power, the charging time will be relatively long, thus increasing the vehicle's charging time, parking fees, and the user's charging experience.

[0036] To meet users' charging needs and improve their charging experience, this application provides a method for selecting charging piles, which will be described in detail below. It should be noted that the order of description of the following embodiments is not intended to limit the preferred order of the embodiments.

[0037] Please see Figure 1 , Figure 1 This is a schematic flowchart of the first method for selecting a charging pile provided in this application embodiment. The subject executing this method can be a vehicle, such as an electric vehicle or a hybrid vehicle. The specific process of this method is as follows:

[0038] S101, Obtain the charging parameter information of the first charging pile, where the first charging pile is any one of a plurality of selectable charging piles for the vehicle.

[0039] In this embodiment, when a user has a need to charge their vehicle, if the user has a destination they wish to reach, the system can search for charging stations near that destination; if the user does not have a destination, the system can search for charging stations near the vehicle's current location. The method for searching for charging stations involves using location software to pinpoint the relevant location based on the user's location requirements and then searching for all charging stations near that location.

[0040] After finding charging stations near the relevant location, the status information of each charging station can be obtained. This status information can include whether the charging station is occupied, whether it is damaged, and the distance between the charging station and the located location.

[0041] After obtaining the status information of each charging station, multiple candidate charging stations can be identified based on this information. From these candidate stations, a charging station that meets the user's current charging needs can be selected. It's understood that the identified candidate charging stations are those capable of meeting the user's current charging needs. For example, multiple candidate charging stations might be those that are functioning normally (i.e., their damage status is undamaged); or multiple candidate charging stations might be those that are available (i.e., their occupancy status is unoccupied).

[0042] In some embodiments, the first charging pile obtained is any one of a plurality of selectable charging piles for the vehicle, and the charging parameter information of the first charging pile is obtained. The charging parameter information may include the charging power of the charging pile, the voltage information of the charging pile, the charging mode information of the charging pile, the charging cost of the charging pile, and the charging interface information of the charging pile, etc.

[0043] Optionally, the charging power of a charging station can include its maximum charging power, which is the maximum electrical energy the charging station can provide to the vehicle per hour. The maximum charging power is positively correlated with the charging speed; that is, the higher the maximum charging power, the faster the charging speed. Understandably, different charging stations have different maximum charging powers, allowing users to choose different charging stations based on their specific charging needs. For example, slow charging stations typically have a maximum charging power below 7kW, fast charging stations typically have a maximum charging power between 7kW and 50kW, and super-fast charging stations typically have a maximum charging power above 50kW.

[0044] Optionally, the voltage information of the charging pile can include input voltage and output voltage. The input voltage of the charging pile refers to the voltage required when it is connected to the power grid, such as 220V single-phase AC voltage or 380V three-phase AC voltage. The output voltage of the charging pile refers to the voltage supplied by the charging pile to the vehicle, such as 220V or 400V DC voltage or 220V AC voltage.

[0045] Optionally, the charging mode information of the charging pile refers to the charging methods supported by the charging pile. The charging mode information may include DC charging mode and AC charging mode.

[0046] Optionally, the charging interface information of the charging pile refers to the way to establish a connection with the vehicle. The charging interface of the charging pile may include a Type 1 interface with AC charging standard based on SAE J1772, a Type 2 interface with DC charging standard based on IEC 62196-2, and fast charging interfaces such as CCS Combo 1, CCS Combo 2 and CHAdeMO.

[0047] S102, obtain the vehicle's battery level parameters and the vehicle's estimated parking time.

[0048] It should be noted that there is no specific order of execution between steps S101 and S102. That is, step S101 can be executed first, followed by step S102; or step S102 can be executed first, followed by step S101; or steps S101 and S102 can be executed simultaneously.

[0049] When a user selects to charge, they can send a corresponding charging command to the vehicle using preset methods, such as voice commands or touch commands. In response to the driver's command, the system can obtain the vehicle's battery level and estimated parking time, thus determining the user's charging needs, which include both battery capacity and time requirements.

[0050] The vehicle's battery parameters may include the required charging capacity and remaining battery capacity; the estimated parking time corresponds to the time interval between when the vehicle enters the parking location of the selected charging station and when it leaves the parking location.

[0051] S103 determines the duration score data corresponding to the first charging pile based on charging parameter information, power parameter information, and estimated parking time.

[0052] It is understandable that by considering factors such as the vehicle's power and time requirements, the company can try its best to meet users' charging needs and improve their charging experience.

[0053] In some embodiments, the estimated charging time of the first charging pile is determined based on the charging parameter information of the first charging pile and the battery parameter information of the vehicle; the difference between the estimated charging time and the estimated parking time is calculated; and the time score data corresponding to the first charging pile is determined based on the difference, wherein there is a mapping relationship between the difference and the time score data, that is, each difference corresponds to a time score data.

[0054] The difference between the estimated charging time and the estimated parking time of the first charging station reflects the degree to which the first charging station matches the user's charging needs in terms of time. If the difference is greater than zero, meaning the estimated charging time is longer than the estimated parking time, it indicates that when the vehicle's charging time reaches the user's set parking time, the vehicle has not yet reached the user's required charging capacity; that is, the vehicle's current charging capacity has not reached the required charging capacity. Conversely, if the difference is less than zero, meaning the estimated charging time is shorter than the estimated parking time, it indicates that when the vehicle's current charging capacity reaches the required charging capacity, the vehicle has not yet met the user's time requirements; that is, the vehicle's current parking time has not reached the set estimated parking time. Understandably, both of these scenarios deviate from the user's charging needs to some extent.

[0055] Of course, the difference between the estimated charging time and the estimated parking time can be zero, meaning the estimated charging time equals the estimated parking time. This indicates that when the vehicle's charging time reaches the user's set parking time, the vehicle will have just reached the user's battery capacity, meaning the vehicle's current charging level has reached the required level. In this case, the selected charging station meets the user's time requirements. Therefore, the estimated charging time can be greater than, equal to, or less than the estimated parking time.

[0056] To improve the matching degree between selected charging stations and user charging needs, the matching degree of the first charging station can be divided according to the absolute value of the difference between the estimated charging time and the estimated parking time, and a corresponding score can be assigned, thus establishing a mapping relationship between the difference and the time score data. Specifically, the smaller the absolute value of the difference between the estimated charging time and the estimated parking time, the higher the matching degree between the estimated charging time and the estimated parking time, and the higher the corresponding time score data. Conversely, the larger the absolute value of the difference between the estimated charging time and the estimated parking time, the lower the matching degree between the estimated charging time and the estimated parking time, and the lower the corresponding time score data. Therefore, the time score can reflect the degree of matching between the charging station and the user's time requirements. Users can choose charging stations with relatively high time score data, thereby improving the user's charging experience.

[0057] S104. Based on the charging parameter information and the power parameter information, determine the power rating data corresponding to the first charging pile.

[0058] Correspondingly, in some embodiments, based on the power parameter information of the first charging pile, the expected charging power of the first charging pile within the expected parking time is obtained; the difference between the expected charging power and the power parameter information is calculated; and the power rating data corresponding to the first charging pile is determined based on the difference. There is a mapping relationship between the difference and the power rating data, that is, each difference corresponds to a power rating data, and the power parameter information can correspond to the required charging power of the vehicle.

[0059] The difference between the estimated charging capacity and the required charging capacity of the first charging station reflects the degree to which the charging capacity of the first charging station matches the user's charging needs. If the difference between the estimated charging capacity and the required charging capacity is greater than zero, that is, the estimated charging capacity is greater than the required charging capacity, it means that the selected charging station has already completed the charging of the vehicle's required charging capacity before the estimated parking time has been reached. In other words, the above situation deviates from the user's charging needs to some extent.

[0060] Understandably, if the difference between the expected charging capacity and the required charging capacity is less than zero, that is, if the expected charging capacity is less than the required charging capacity, it means that the selected charging station cannot meet the charging needs within the parking time. Therefore, the charging stations corresponding to the difference between the expected charging capacity and the required charging capacity being less than zero are not within the range of charging stations selected by the user and can be ignored.

[0061] Of course, if the difference between the expected charging amount and the required charging amount is zero, that is, the expected charging amount equals the required charging amount, it means that when the expected parking time is reached, the selected charging station will just meet the vehicle's charging needs, and the selected charging station is the optimal charging station to meet the user's power requirements. Therefore, the expected charging amount can be greater than or equal to the required charging amount.

[0062] To improve the matching degree between selected charging stations and user charging needs, the first charging station can be categorized into matching degree classes based on the difference between the expected and required charging capacity, and a corresponding score can be assigned. This establishes a mapping relationship between the difference and the power rating data. Specifically, the smaller the difference between the expected and required charging capacity, the higher the matching degree, and the higher the corresponding power rating. Conversely, the larger the difference, the lower the matching degree, and the lower the corresponding power rating. Therefore, the power rating data reflects the degree of matching between the charging station's power demand and the user's needs. Users can choose charging stations with relatively higher power ratings, improving their charging experience.

[0063] S105 performs weighted processing on the duration score data and the power consumption score data to obtain the comprehensive score data of the first charging pile.

[0064] It is understandable that the charging stations selected based on the above duration rating data can meet the user's charging time requirements, and the charging stations selected based on the above power rating data can meet the user's charging power requirements. However, when choosing a charging station, users need to consider both time and power requirements.

[0065] Therefore, this embodiment considers both time and power requirements holistically. By weighting the duration and power rating data, the selected charging station can meet the user's charging needs. Specifically, corresponding weighting coefficients can be set for the duration and power rating data. Taking the first charging station as an example, the duration rating data is weighted separately with the power rating to obtain the comprehensive rating data for the first charging station. Of course, each of the multiple charging stations to be selected has corresponding comprehensive rating data. The second charging station corresponding to the highest comprehensive rating data is selected from these multiple comprehensive rating data. The second charging station is the one that best matches the user's charging time and power requirements.

[0066] S106, based on the comprehensive score data of each of the multiple candidate charging piles, determine the second charging pile for charging the vehicle from the multiple candidate charging piles.

[0067] It should be noted that in this embodiment, the first charging pile and the second charging pile can be the same charging pile, meaning the first charging pile is the recommended charging pile for the user. Alternatively, the first charging pile and the second charging pile can be different charging piles, meaning the comprehensive score of the second charging pile is higher than that of the first charging pile; in this case, the second charging pile is the recommended charging pile for the user. The specific values ​​of the weighting parameters corresponding to the duration score and the battery level score can be set according to the user's charging needs and are not specifically limited here.

[0068] As described above, this embodiment obtains the charging parameter information of a first charging pile (which is any one of multiple selectable charging piles for the vehicle); obtains the vehicle's battery level parameter information and estimated parking time; determines the duration score data corresponding to the first charging pile based on the charging parameter information, battery level parameter information, and estimated parking time; determines the battery level score data corresponding to the first charging pile based on the charging parameter information and battery level parameter information; performs weighted processing on the duration score data and battery level score data to obtain the comprehensive score data of the first charging pile; and determines the second charging pile for charging the vehicle from the multiple selectable charging piles based on the comprehensive score data of each selectable charging pile. By using the relevant information of the charging pile and the vehicle as conditions for selecting the charging pile, the matching between the selected charging pile and the charging demand, as well as the charging experience, are improved.

[0069] Based on the methods described in the preceding embodiments, the following examples will provide further detailed explanations. Please refer to... Figure 2 , Figure 2 This is a schematic diagram of a second method for selecting a charging pile according to an embodiment of this application. The specific process of this method for selecting a charging pile may include:

[0070] S201, obtain the status information of multiple charging piles, and determine multiple charging piles to be selected based on the status information of multiple charging piles.

[0071] In this embodiment, when a user has a charging need for the vehicle, they can select a charging station in a relevant location based on their actual needs. For example, if the vehicle is in motion, meaning the navigation system is active during the current journey, a charging station near the destination can be selected to reach the destination as quickly as possible. Alternatively, if the vehicle is waiting to start and the user only needs charging or does not have a specific destination in mind, a charging station near the vehicle's current location can be selected. Of course, even while the vehicle is in motion, the distance between the current location and the destination can be used to determine the charging station location that best suits the user's needs. It is understood that the area selected for the charging station can also be determined based on both the vehicle's remaining battery power and the distance between the current location and the destination. If the remaining battery power is insufficient to reach the destination, a charging station near the current location will be selected. The specific location of the selected charging station can be set according to the user's needs and the actual situation of the vehicle; the above examples are merely illustrative and not specifically limited.

[0072] Optionally, if the vehicle is in motion and has a corresponding destination, the distance between the vehicle's current location and the destination location can be obtained; if the distance between the current location and the destination is greater than a first distance threshold, multiple charging piles in the first area where the destination location is located, and the status information of each charging pile can be obtained; if the distance between the current location and the destination location is less than or equal to the first distance threshold, multiple charging piles in the second area where the current location is located, and the status information of each charging pile can be obtained.

[0073] Understandably, after obtaining the distance between the current location and the destination, if the distance between the current location and the destination is greater than a first distance threshold, it means the vehicle is in motion and the destination is not nearby. If a charging station near the current location is selected at this time, charging takes time, and there is a possibility that the user may not be able to reach the destination in time, thus affecting the user. Therefore, when the distance between the current location and the destination is greater than the first distance threshold, the vehicle can be kept in motion, and a charging station near the destination can be searched for when the vehicle is about to arrive, thus not affecting the user's normal journey and improving the user experience.

[0074] If the distance between the current location and the destination is less than or equal to the first distance threshold, it means that the distance between the current location and the destination is small. Therefore, the user can choose to charge at a charging station near the current location and can choose to walk or other convenient means to reach the destination.

[0075] In some embodiments, the first distance threshold can be set to 1 kilometer, 1.5 kilometers, etc. The search range for charging piles, i.e., the radius of the first and second regions where the current or destination location is located, can be set to 100 meters, 200 meters, etc. Depending on the actual situation, existing charging piles are searched within the first and second regions where the current or destination location is located, thereby obtaining the status information of multiple charging piles. The status information of the charging piles may include their occupancy status, damage status, and distance from the located location.

[0076] After obtaining the status information of each charging station, multiple candidate charging stations can be identified based on this information. From these candidate stations, a charging station that meets the user's current charging needs can be selected. It's understood that the identified candidate charging stations are those capable of meeting the user's current charging needs. For example, multiple candidate charging stations might be those that are functioning normally (i.e., their damage status is undamaged); or multiple candidate charging stations might be those that are available (i.e., their occupancy status is unoccupied).

[0077] S202, Obtain the charging parameter information of the first charging pile.

[0078] In some embodiments, the first charging pile obtained is any one of a plurality of selectable charging piles for the vehicle, and the charging parameter information of the first charging pile is obtained. The charging parameter information may include the charging power of the charging pile, the voltage information of the charging pile, the charging mode information of the charging pile, the charging cost of the charging pile, and the charging interface information of the charging pile, etc.

[0079] Optionally, since charging power is positively correlated with charging speed—that is, the higher the charging power, the faster the charging speed—the charging power of multiple charging stations can be obtained during the selection process. It's understandable that the charging power of a charging station can include its maximum charging power, which varies between different stations. Users can choose different charging stations based on their specific charging needs. For example, the maximum charging power of slow charging stations is typically below 7kW, while the maximum charging power of fast charging stations is usually between 7kW and 50kW, and the maximum charging power of super-fast charging stations is typically above 50kW.

[0080] S203 obtains the vehicle's battery level and estimated parking time.

[0081] When a user selects to charge, they can send a corresponding charging command to the vehicle using preset methods, such as voice commands or touch commands. In response to the driver's command, the system can obtain the vehicle's battery level and estimated parking time, thus determining the user's charging needs, which include both battery capacity and time requirements.

[0082] The vehicle's battery parameters may include the required charging capacity and remaining battery capacity; the estimated parking time corresponds to the time interval between when the vehicle enters the parking location of the selected charging station and when it leaves the parking location.

[0083] In some embodiments, in response to an operation command, the required charging power of the vehicle is obtained so as to make subsequent selections based on the required charging power.

[0084] In some embodiments, in response to an operation command, the required charging power and remaining power information of the vehicle are obtained, so as to make subsequent selections based on the required charging power and remaining power information.

[0085] S204. Based on the charging parameter information and the power parameter information, determine the estimated charging time of the first charging pile.

[0086] It is understandable that by considering factors such as the vehicle's power and time requirements, the company can try its best to meet users' charging needs and improve their charging experience.

[0087] In some embodiments, if the charging parameter information includes charging power, the energy parameter information includes the required charging capacity and the remaining energy. Optionally, a first estimated charging time corresponding to the first charging pile is determined based on the charging power and the required charging capacity.

[0088] Understandably, different charging stations have different charging power, resulting in varying charging speeds. Since different vehicles require different amounts of electricity, the time it takes for different charging stations to fully charge a vehicle can be estimated using deep learning. This allows for the generation of multiple estimated charging times for different charging stations. By understanding these estimated times, users can choose the appropriate charging station. For example, among multiple charging stations capable of fulfilling a vehicle's charging needs, the one with the shortest charging time can be selected.

[0089] Optionally, a second estimated charging time for the first charging pile can be determined based on the charging power, the required charging capacity, and the remaining power information.

[0090] Understandably, while the above methods can roughly select a suitable charging station based on the required charging capacity and charging power, different vehicles have different remaining battery levels. Using only the required charging capacity as a selection criterion may not yield the most suitable charging station. It's important to note that the more battery a vehicle has remaining, the slower the charging speed; conversely, the less battery a vehicle has remaining, the faster the charging speed. If a vehicle has excessive remaining battery power, selecting the charging station with the highest charging power based solely on the required charging capacity is somewhat one-sided. Choosing a charging station with a lower charging power might complete the required charging in the same or less time. Therefore, selecting a high-power charging station would waste charging station resources and increase user costs. Thus, deep learning is used to estimate a more accurate second estimated charging time based on charging power, required charging capacity, and remaining battery power information as input data.

[0091] In some embodiments, in addition to the charging power, required charging capacity, and remaining battery capacity information affecting the charging time, temperature also affects the charging time. For example, excessively high external ambient temperature or excessively high battery temperature inside the vehicle will reduce the charging speed. If a charging station with a high charging power is selected at this time, some electrical energy cannot be directly charged to the vehicle's battery, resulting in a waste of resources. Furthermore, excessively high charging power will affect the lifespan of the vehicle's battery.

[0092] Optionally, temperature information can be acquired, including the vehicle's battery temperature and / or ambient temperature. Based on the charging power, required charging capacity, remaining battery power, and temperature information, a third estimated charging time corresponding to the first charging station is determined. This involves using the charging power, required charging capacity, remaining battery power, and temperature information as input data for deep learning to estimate a more accurate third estimated charging time.

[0093] S205, calculate the difference between the estimated charging time and the estimated parking time.

[0094] The difference between the estimated charging time and the estimated parking time of the first charging station reflects the degree to which the first charging station matches the user's charging needs in terms of time.

[0095] If the difference between the estimated charging time and the estimated parking time is greater than zero (i.e., the estimated charging time is longer than the estimated parking time), it means that when the vehicle's charging time reaches the user's set parking time, the vehicle has not yet reached the user's required charging capacity; that is, the vehicle's current charging capacity has not reached the required charging capacity. Conversely, if the difference is less than zero (i.e., the estimated charging time is shorter than the estimated parking time), it means that when the vehicle's current charging capacity reaches the required charging capacity, the vehicle has not yet met the user's time requirement; that is, the vehicle's current parking time has not reached the set parking time. Understandably, both of these scenarios deviate from the user's charging needs to some extent.

[0096] Of course, the difference between the estimated charging time and the estimated parking time can be zero, meaning the estimated charging time equals the estimated parking time. This indicates that when the vehicle's charging time reaches the user's set parking time, the vehicle will have just reached the user's battery capacity, meaning the vehicle's current charging level has reached the required level. In this case, the selected charging station is the optimal one to meet the user's time requirements. Therefore, the estimated charging time can be greater than, equal to, or less than the estimated parking time.

[0097] Optionally, the difference between the first estimated charging time and the estimated parking time can be calculated to obtain the first difference.

[0098] Optionally, the difference between the second estimated charging time and the estimated parking time can be calculated to obtain the second difference.

[0099] Optionally, the difference between the third estimated charging time and the estimated parking time can be calculated to obtain the third difference.

[0100] S206, determine the duration score data corresponding to the first charging pile based on the difference, wherein there is a mapping relationship between the difference and the duration score data.

[0101] To improve the matching degree between the selected charging piles and the user's charging needs, the matching degree of each of the multiple selected charging piles can be divided according to the absolute value of the difference between the expected charging time and the expected parking time, and corresponding scores can be assigned. In other words, a mapping relationship between the difference and the time score data can be established.

[0102] Optionally, the duration rating data corresponding to the first charging pile is determined based on the first difference, wherein the first difference and the duration rating data have a mapping relationship; the duration rating data corresponding to the first charging pile is determined based on the second difference, wherein the second difference and the duration rating data have a mapping relationship; and the duration rating data corresponding to the first charging pile is determined based on the third difference, wherein the third difference and the duration rating data have a mapping relationship.

[0103] Specifically, the smaller the absolute value of the difference between the estimated charging time and the estimated parking time, the higher the match between the two, and the higher the corresponding time score. Conversely, the larger the absolute value of the difference, the lower the match between the two, and the lower the corresponding time score. Therefore, the time score data reflects the degree to which the charging station matches the user's time requirements. Users can choose charging stations with relatively higher time scores, thus improving their charging experience.

[0104] S207, based on the charging parameter information of the first charging pile, obtain the expected charging capacity of the first charging pile within the expected parking time.

[0105] S208, calculate the difference between the expected charging capacity and the power parameter information, and determine the power rating data corresponding to the first charging pile based on the difference, wherein there is a mapping relationship between the difference and the power rating data.

[0106] It is understandable that the charging parameter information of the first charging pile corresponds to the charging power, and the energy parameter information corresponds to the required charging energy of the vehicle. Specifically, based on the charging power of the first charging pile, the expected charging energy of the first charging pile during the expected parking time is obtained; the difference between the expected charging energy and the required charging energy is calculated to obtain the fourth difference; based on the fourth difference, the energy score data corresponding to the first charging pile is determined, wherein there is a mapping relationship between the fourth difference and the energy score data.

[0107] The difference between the estimated charging capacity and the required charging capacity of the first charging station reflects the degree to which the charging capacity of the first charging station matches the user's charging needs. If the difference between the estimated charging capacity and the required charging capacity is greater than zero, that is, the estimated charging capacity is greater than the required charging capacity, it means that the selected charging station has already completed the charging of the vehicle's required charging capacity before the estimated parking time has been reached. In other words, the above situation deviates from the user's charging needs to some extent.

[0108] Understandably, if the difference between the expected charging capacity and the required charging capacity is less than zero, that is, if the expected charging capacity is less than the required charging capacity, it means that the selected charging station cannot meet the charging needs within the parking time. Therefore, the charging stations corresponding to the difference between the expected charging capacity and the required charging capacity being less than zero are not within the range of charging stations selected by the user and can be ignored.

[0109] Of course, if the difference between the expected charging amount and the required charging amount is zero, that is, the expected charging amount equals the required charging amount, it means that when the expected parking time is reached, the selected charging station will just meet the vehicle's charging needs, and the selected charging station is the optimal charging station to meet the user's power requirements. Therefore, the expected charging amount can be greater than or equal to the required charging amount.

[0110] To improve the matching degree between selected charging stations and user charging needs, the matching degree of selected charging stations can be divided according to the difference between the expected charging capacity and the required charging capacity, and a corresponding score can be assigned, thus establishing a mapping relationship between the difference and the energy consumption score. Specifically, the smaller the difference between the expected and required charging capacity, the higher the matching degree, and the higher the corresponding energy consumption score; conversely, the larger the difference, the lower the matching degree, and the lower the corresponding energy consumption score. Therefore, the energy consumption score data reflects the degree of matching between the charging station's energy consumption needs and the user's needs. Users can choose charging stations with relatively higher energy consumption scores, improving their charging experience.

[0111] S209, the duration score data and the power score data are weighted and processed to obtain the comprehensive score data of the first charging pile, and based on the comprehensive score data of each of the multiple candidate charging piles, the second charging pile for charging the vehicle is determined from the multiple candidate charging piles.

[0112] It is understandable that the charging stations selected based on the above duration rating data can meet the user's charging time requirements, and the charging stations selected based on the above power rating data can meet the user's charging power requirements. However, when choosing a charging station, users need to consider both time and power requirements.

[0113] Therefore, this embodiment considers both time and power requirements holistically. By weighting the duration and power rating data, the selected charging station can meet all of the user's charging needs. Specifically, corresponding weighting coefficients can be set for the duration and power rating data. Taking the first charging station as an example, the duration rating data is weighted separately with the power rating data to obtain the comprehensive rating data for the first charging station. Of course, each of the multiple charging stations to be selected has corresponding comprehensive rating data. The second charging station corresponding to the highest comprehensive rating data is selected from these multiple comprehensive rating data. The second charging station is the one that best matches the user's charging time and power requirements.

[0114] It should be noted that in this embodiment, the first charging pile and the second charging pile can be the same charging pile, meaning the first charging pile is the recommended charging pile for the user. Alternatively, the first charging pile and the second charging pile can be different charging piles, meaning the comprehensive score of the second charging pile is higher than that of the first charging pile; in this case, the second charging pile is the recommended charging pile for the user. The specific values ​​of the weighting parameters corresponding to the duration score and the battery level score can be set according to the user's charging needs and are not specifically limited here.

[0115] Optionally, the product of the duration score data and the first preset weight coefficient is calculated to obtain a first result; the product of the battery score data and the second preset weight coefficient is calculated to obtain a second result, wherein the sum of the first preset weight coefficient and the second preset weight coefficient is 100%; the sum of the first result and the second result is obtained to obtain comprehensive score data; based on the comprehensive score data, a second charging pile for charging the vehicle is determined from multiple selectable charging piles.

[0116] Optionally, if the user has a higher demand for charging time, the first preset weighting coefficient can be set to be greater than the second preset weighting coefficient. For example, if the first preset weighting coefficient is 60% and the second preset weighting coefficient is 40%, and the duration score data corresponding to the second charging station is A1 and the power score data is B1, then the comprehensive score data W = 60%A1 + 40%B1, and the second charging station is determined based on the comprehensive score data W.

[0117] Of course, if a user's demand for charging time is lower than or equal to their demand for charging capacity, then the first preset weight coefficient can be set to be less than or equal to the second preset weight coefficient. The magnitude of the first preset weight coefficient and the second preset weight coefficient can be set according to the actual situation, and no specific limitation is made here.

[0118] As can be seen from the above, this embodiment uses the charging power of the charging pile, the vehicle's remaining battery power, the required charging power, and the temperature information as factors influencing the selection of the charging pile to match the user's charging time and power requirements. Corresponding weight coefficients and matching scores are set for the time and power requirements, thereby selecting the charging pile corresponding to the target score with the highest comprehensive score as the target charging pile. This improves the matching between the selected charging pile and the charging requirements, thereby improving the user's charging experience.

[0119] In some alternative embodiments, please refer to Figure 3 , Figure 3 This is a schematic diagram of the third process for selecting a charging pile according to an embodiment of this application. The specific process of this charging pile selection method may include:

[0120] S301, obtain the status information of multiple charging piles, and determine the first charging pile based on the status information of multiple charging piles.

[0121] In this embodiment, the description of steps S301-S306 can be found in the description of steps S201-S209 above, and will not be repeated here.

[0122] S302, obtain the charging parameter information and charging price information of the first charging pile.

[0123] Understandably, users' charging needs for a chosen charging station should not only consider the vehicle's battery and time requirements, but also the charging costs and parking fees incurred during the charging process. In other words, users' charging needs include not only battery and time requirements, but also cost requirements, thus increasing the considerations for choosing a charging station and maximizing the satisfaction of users' charging needs and improving their charging experience.

[0124] In some embodiments, while obtaining the charging parameter information of the first charging pile, the charging price information of the first charging pile can also be obtained. The charging price information corresponds to the price per unit time of charging at the charging pile. Different maximum charging power of the charging pile corresponds to different charging prices per unit time. For example, a charging pile with a maximum charging power of 0-150W corresponds to a price of 0.2 yuan for one hour of charging; a charging pile with a maximum charging power of 150-285W corresponds to a price of 0.25 yuan for one hour of charging; a charging pile with a maximum charging power of 285-400W corresponds to a price of 0.35 yuan for one hour of charging; a charging pile with a maximum charging power of 400-600W corresponds to a price of 0.55 yuan for one hour of charging; and a charging pile with a maximum charging power of 600-1200W corresponds to a price of 0.8 yuan for one hour of charging, etc.

[0125] S303: Obtain the vehicle's battery parameter information and the vehicle's estimated parking time, and determine the estimated charging time of the first charging pile based on the battery parameter information.

[0126] S304, calculate the difference between the expected charging time and the expected parking time, and determine the time score data corresponding to the first charging pile based on the difference, wherein there is a mapping relationship between the difference and the time score data.

[0127] S305: Based on the charging parameter information of the first charging pile, the expected charging capacity of the first charging pile during the expected parking time is obtained.

[0128] S306, calculate the difference between the expected charging capacity and the power parameter information, and determine the power rating data corresponding to the first charging pile based on the difference, wherein there is a mapping relationship between the difference and the power rating data.

[0129] S307, based on the charging price information and power parameter information of the first charging pile, determines the charging cost for the vehicle to be charged by the first charging pile.

[0130] In some embodiments, the acquired vehicle battery parameter information can correspond to the vehicle's required charging capacity. Different charging piles have different charging times and corresponding charging prices for reaching the required charging capacity. Therefore, based on the charging price information and battery parameter information of the first charging pile, multiple charging costs for the vehicle can be determined. Specifically, charging piles with higher maximum charging power require less charging time to reach the required charging capacity, and thus have lower charging costs. Users can select appropriate charging piles based on their cost requirements.

[0131] For example, if the required charging power is M, charging station N1 with a maximum charging power of 150-285W requires 4 hours to reach the required charging power M, and the corresponding charging cost is 4 × 0.25 = 1 yuan; charging station N2 with a maximum charging power of 600-1200W requires one hour to reach the required charging power M, and the corresponding charging cost is 1 × 0.8 = 0.80 yuan. Therefore, choosing charging station N2 not only requires less charging time but also costs less.

[0132] S308 determines the parking fee based on the estimated parking duration.

[0133] In some embodiments, when considering the charging cost of charging at a charging station, it is also necessary to consider the parking cost of the vehicle during the charging process. The less parking cost, the more beneficial it is to the user while meeting the user's charging needs. In other words, the parking cost of the vehicle is considered as one of the factors influencing the selection of a charging station.

[0134] S309, calculate the sum of charging cost and parking cost to obtain the total cost, and determine the cost score data corresponding to the first charging pile based on the total cost, wherein there is a mapping relationship between the total cost and the cost score data.

[0135] To improve the matching between selected charging stations and user charging needs, each potential charging station can be categorized based on its total charging cost, and a corresponding score can be assigned. This establishes a mapping between total cost and cost score data. Specifically, the lower the total cost, the higher the corresponding cost score; conversely, the higher the total cost, the lower the corresponding cost score. Therefore, the cost score data reflects the degree to which the charging station matches the user's cost requirements. Users can then choose charging stations with relatively higher cost scores, thus improving their charging experience.

[0136] S310: Weight the duration score data, power score data, and cost score data to obtain the comprehensive score data of the first charging pile. Based on the comprehensive score data of each of the multiple candidate charging piles, determine the second charging pile for charging the vehicle from the multiple candidate charging piles.

[0137] It is understandable that the charging stations selected based on the above duration rating data can meet the user's charging time requirements, the charging stations selected based on the above power rating data can meet the user's charging power requirements, and the charging stations selected based on the above cost rating data can meet the user's charging cost requirements. However, when choosing a charging station, users need to consider their time, power, and cost requirements simultaneously.

[0138] Therefore, this embodiment considers time requirements, power requirements, and cost requirements holistically. It weights the duration rating data, power rating data, and cost rating data to ensure that the selected charging pile can meet all of the user's charging needs. Specifically, corresponding weighting coefficients can be set for the duration rating data, power rating data, and cost rating data. Taking the first charging pile as an example, the duration rating data is weighted with the power rating data to obtain the comprehensive rating data for the first charging pile. Of course, each of the multiple charging piles to be selected has corresponding comprehensive rating data. The second charging pile corresponding to the highest comprehensive rating data is selected from these multiple comprehensive rating data. The second charging pile is the one that best matches the user's charging time and power requirements.

[0139] It should be noted that in this embodiment, the first charging pile and the second charging pile can be the same charging pile, meaning the first charging pile is the recommended charging pile for the user. Alternatively, the first charging pile and the second charging pile can be different charging piles, meaning the comprehensive score of the second charging pile is higher than that of the first charging pile; in this case, the second charging pile is the recommended charging pile for the user. The specific values ​​of the weighting parameters corresponding to the duration score and the battery level score can be set according to the user's charging needs and are not specifically limited here.

[0140] Optionally, the product of the duration score data and the first preset weight coefficient is calculated to obtain a first result; the product of the battery power score data and the second preset weight coefficient is calculated to obtain a second result; the product of the cost score data and the third preset weight coefficient is calculated to obtain a third result, wherein the sum of the first preset weight coefficient, the second preset weight coefficient, and the third preset weight coefficient is 100%; the sum of the first result, the second result, and the third result is obtained to obtain comprehensive score data; based on the comprehensive score data, a second charging pile for charging the vehicle is determined from multiple selectable charging piles.

[0141] Optionally, if a user's need for charging time exceeds their need for charging power, and their need for charging power exceeds their need for charging cost, then a first preset weighting coefficient can be set to be greater than a second preset weighting coefficient, and a second preset weighting coefficient can be set to be greater than a third preset weighting coefficient. For example, if the first preset weighting coefficient is 50%, the second preset weighting coefficient is 30%, and the third preset weighting coefficient is 20%, and the duration score data for the second charging station is A1, the power score data is B1, and the cost score data is C1, then the comprehensive score data V = 50%A1 + 30%B1 + 20%C1, and the second charging station is determined based on the comprehensive score data V.

[0142] As can be seen from the above, this embodiment uses the charging power of the charging pile, charging price information, vehicle remaining battery information, required charging power, and temperature information as influencing factors for selecting a charging pile, in order to match the user's charging time requirements, power requirements, and cost requirements. Corresponding weight coefficients and matching scores are set for time requirements, power requirements, and cost requirements, so as to select the charging pile corresponding to the target score with the highest comprehensive score as the target charging pile, thereby improving the matching between the selected charging pile and the charging needs, and thus improving the user's charging experience.

[0143] In addition, this application also provides a charging pile selection device. Please refer to... Figure 4 , Figure 4 This is a schematic diagram of the charging pile selection device provided in an embodiment of this application. The charging pile selection device 400 can be applied to vehicles, such as electric vehicles and hybrid vehicles. The charging pile selection device 400 may include a first acquisition module 401, a second acquisition module 402, a first determination module 403, a second determination module 404, a processing module 405, and a selection module 406, as detailed below:

[0144] The first acquisition module 401 is used to acquire the charging parameter information of the first charging pile, wherein the first charging pile is any one of a plurality of selectable charging piles for the vehicle.

[0145] The second acquisition module 402 is used to acquire the vehicle's battery power parameters and the vehicle's estimated parking time.

[0146] The first determining module 403 is used to determine the duration score data corresponding to the first charging pile based on charging parameter information, power parameter information and expected parking duration;

[0147] The second determining module 404 is used to determine the power rating data corresponding to the first charging pile based on the charging parameter information and the power parameter information.

[0148] The processing module 405 is used to perform weighted processing on the duration score data and the power score data to obtain the comprehensive score data of the first charging pile.

[0149] The selection module 406 is used to determine a second charging pile for charging the vehicle from multiple charging piles based on comprehensive scoring data for each of the multiple charging piles to be selected.

[0150] In some embodiments, the first acquisition module 401 can also be used to: acquire the charging power of the first charging pile; the second acquisition module 402 can also be used to: acquire the required charging power of the vehicle.

[0151] Optionally, the first determining module 403 can also be used to: determine the first estimated charging time corresponding to the first charging pile based on the charging power and the required charging amount; calculate the difference between the first estimated charging time and the estimated parking time to obtain a first difference; and determine the time score data corresponding to the first charging pile based on the first difference, wherein the first difference and the time score data have a mapping relationship.

[0152] Optionally, the second determining module 402 can also be used to: obtain the required charging power and remaining power of the vehicle.

[0153] Accordingly, the first determining module 403 can also be used to: determine the second estimated charging time corresponding to the first charging pile based on the charging power, the required charging power and the remaining power; calculate the difference between the second estimated charging time and the estimated parking time to obtain the second difference; and determine the time score data corresponding to the first charging pile based on the second difference, wherein the second difference and the time score data have a mapping relationship.

[0154] Optionally, the charging pile selection device 400 may further include a third acquisition module, which may be used to: acquire temperature information, wherein the temperature information includes at least the vehicle's battery temperature and / or ambient temperature.

[0155] Correspondingly, the first determining module 403 can also be used to: determine the third estimated charging time corresponding to the first charging pile based on the charging power, the required charging power, the remaining power and temperature information; calculate the difference between the third estimated charging time and the estimated parking time to obtain the third difference; and determine the time score data corresponding to the first charging pile based on the third difference, wherein there is a mapping relationship between the third difference and the time score data.

[0156] In some embodiments, the second determining module 404 may also be used to: obtain the expected charging amount of the first charging pile within the expected parking time based on the charging power of the first charging pile; calculate the difference between the expected charging amount and the required charging amount to obtain a fourth difference; and determine the power rating data corresponding to the first charging pile based on the fourth difference, wherein the fourth difference and the power rating data have a mapping relationship.

[0157] In some embodiments, the charging pile selection device 400 may further include a fourth acquisition module, which may be used to: acquire the distance between the vehicle's current location and its destination location; if the distance is greater than a first distance threshold, acquire multiple charging piles in a first area and the status information of each charging pile, wherein the first area corresponds to the destination location; or if the distance is less than or equal to the first distance threshold, acquire multiple charging piles in a second area and the status information of each charging pile, wherein the second area corresponds to the current location; and determine multiple charging piles to be selected based on the status information of each charging pile, wherein the status information of the charging pile is used to indicate the occupancy status and / or the damage status of the charging pile.

[0158] In some embodiments, the charging pile selection device 400 may further include a third determining module, which may be used to: obtain charging price information of the first charging pile; determine the charging cost of the first charging pile for charging the vehicle based on the charging price information and the required charging amount; determine the parking cost of the vehicle based on the estimated parking time; calculate the sum of the charging cost and the parking cost to obtain the total cost; and determine the cost rating data corresponding to the first charging pile based on the total cost, wherein there is a mapping relationship between the total cost and the cost rating data.

[0159] Correspondingly, the processing module 405 can also be used to: perform weighted processing on the duration rating data, power rating data and cost rating data to obtain the comprehensive rating data of the first charging pile.

[0160] It should be noted that the charging pile selection device provided in this application embodiment and the charging pile selection method in the above embodiment belong to the same concept. Any of the methods provided in the charging pile selection method embodiment can be run on the charging pile selection device. For details of its implementation process, please refer to the charging pile selection method embodiment, which will not be repeated here.

[0161] In this embodiment, the charging pile selection device 400 acquires the charging parameter information of a first charging pile through a first acquisition module 401. The first charging pile is any one of a plurality of selectable charging piles for the vehicle. The second acquisition module 402 acquires the vehicle's battery level parameter information and the vehicle's estimated parking time. Based on the charging parameter information, battery level parameter information, and estimated parking time, a first determination module 403 determines the duration score data corresponding to the first charging pile. Based on the charging parameter information and battery level parameter information, a second determination module 404 determines the battery level score data corresponding to the first charging pile. A processing module 405 performs weighted processing on the duration score data and the battery level score data to obtain the comprehensive score data of the first charging pile. Based on the comprehensive score data of each selectable charging pile, a selection module 405 determines a second charging pile from the plurality of selectable charging piles for charging the vehicle. By using the relevant information of the charging pile and the vehicle as conditions for selecting the charging pile, the matching between the selected charging pile and the charging demand, as well as the charging experience, are improved.

[0162] Optionally, this embodiment also provides a computer-readable storage medium storing computer program code. When the computer program code is run on a computer, the computer executes the above-described related method steps to implement the charging pile selection method provided in the above embodiment.

[0163] The storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0164] Since the instructions stored in the storage medium can execute the steps in any of the charging pile selection methods provided in the embodiments of this application, the beneficial effects that any of the charging pile selection methods provided in the embodiments of this application can achieve can be realized. For details, please refer to the previous embodiments, which will not be repeated here.

[0165] Accordingly, this application also provides a vehicle, please refer to the embodiments thereof. Figure 5 , Figure 5 This is a schematic diagram of a first structural embodiment of a vehicle provided in this application. The vehicle 500 can be an electric vehicle, a hybrid vehicle, etc. The vehicle 500 includes a processor 501 and a memory 502. The processor 501 and the memory 502 are electrically connected.

[0166] The processor 501 is the control center of the vehicle 500. It connects to various parts of the vehicle through various interfaces and lines. By running or calling computer programs stored in the memory 502, and calling data stored in the memory 502, it performs various functions of the vehicle and processes data, thereby monitoring the vehicle as a whole.

[0167] The memory 502 can be used to store software programs and modules. The processor 501 executes various functional applications and data processing by running the computer programs and modules stored in the memory 502. The memory 502 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, computer programs required for at least one function, etc.; the data storage area may store data created based on the use of the vehicle, etc.

[0168] Furthermore, memory 502 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, memory 502 may also include a memory controller to provide processor 501 with access to memory 502.

[0169] In this embodiment, the processor 501 in the vehicle 500 loads the instructions corresponding to the processes of one or more computer programs into the memory 502 according to the following steps, and the processor 501 runs the computer programs stored in the memory 502 to realize various functions, as follows:

[0170] Obtain the charging parameter information of the first charging pile, which is any one of multiple selectable charging piles for the vehicle.

[0171] Obtain vehicle battery level information and estimated parking time;

[0172] Based on charging parameter information, power parameter information, and estimated parking duration, determine the duration score data corresponding to the first charging pile;

[0173] Based on charging parameter information and power parameter information, determine the power rating data corresponding to the first charging pile;

[0174] The duration score data and the power consumption score data are weighted and processed to obtain the comprehensive score data of the first charging pile;

[0175] Based on the comprehensive score data of each of the multiple candidate charging piles, a second charging pile for charging the vehicle is determined from the multiple candidate charging piles.

[0176] In some embodiments, please refer to Figure 6 , Figure 6This is a schematic diagram of a second structural embodiment of a vehicle provided in this application. The vehicle 500 may include: a processor 501, a memory 502, a display screen 503, a camera assembly 504, an audio circuit 505, a sensor 506, and a power supply 507. The processor 501 is electrically connected to the display screen 503, the camera assembly 504, the audio circuit 505, the sensor 506, and the power supply 507.

[0177] The display screen 503 can be used to display information input by the user or information provided to the user, as well as various graphical user interfaces of the vehicle, which can be composed of images, text, icons, videos, and any combination thereof.

[0178] The camera assembly 504 may include image processing circuitry, which may be implemented using hardware and / or software components and may include various processing units defining an image signal processing (ISP) pipeline. The image processing circuitry may include at least: multiple cameras, an image signal processor (ISP), control logic, and image memory. Each camera may include at least one or more lenses and an image sensor. The image sensor may include a color filter array (such as a Bayer filter). The image sensor acquires light intensity and wavelength information captured by each imaging pixel of the image sensor and provides a set of raw image data that can be processed by the image signal processor.

[0179] The audio circuit 505 can be used to provide an audio interface between the user and the vehicle through a speaker and a microphone. The audio circuit 505 includes a microphone. The microphone is electrically connected to the processor 501. The microphone is used to receive voice information input by the user.

[0180] Sensor 506 is used to collect information about the vehicle itself, the user, or the external environment. For example, sensor 506 may include one or more of the following sensors: vibration sensor, temperature sensor, distance sensor, magnetic field sensor, light sensor, acceleration sensor, fingerprint sensor, Hall sensor, position sensor, gyroscope, inertial sensor, attitude sensor, barometer, heart rate sensor, etc.

[0181] Power supply 507 is used to supply power to various components of vehicle 500. In some embodiments, power supply 507 can be logically connected to processor 501 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system.

[0182] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0183] Regarding the charging pile selection device in this application embodiment, its functional modules can be integrated into a single processing chip, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0184] The selection method, device, vehicle, and storage medium for charging piles provided in the embodiments of this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The above embodiments are only for the purpose of helping to understand the methods and core ideas of this application; at the same time, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for selecting charging piles, characterized in that, Applied to vehicles, the method includes: Obtain the charging parameter information of the first charging pile, wherein the first charging pile is any one of a plurality of selectable charging piles for the vehicle. Obtain the vehicle's battery level and estimated parking time. Based on the charging parameter information, the power parameter information, and the estimated parking duration, the duration rating data corresponding to the first charging pile is determined; wherein, determining the duration rating data corresponding to the first charging pile based on the charging parameter information, the power parameter information, and the estimated parking duration includes: determining the estimated charging duration of the first charging pile based on the charging parameter information and the power parameter information; calculating the difference between the estimated charging duration and the estimated parking duration; and determining the duration rating data corresponding to the first charging pile based on the difference. Based on the charging parameter information and the power parameter information, the power rating data corresponding to the first charging pile is determined; wherein, determining the power rating data corresponding to the first charging pile based on the charging parameter information and the power parameter information includes: obtaining the expected charging power of the first charging pile within the expected parking time based on the power parameter information; calculating the difference between the expected charging power and the power parameter information; and determining the power rating data corresponding to the first charging pile based on the difference; The duration score data and the power consumption score data are weighted and processed to obtain the comprehensive score data of the first charging pile; Based on the comprehensive score data of each of the plurality of candidate charging piles, a second charging pile for charging the vehicle is determined from the plurality of candidate charging piles.

2. The method for selecting charging piles according to claim 1, characterized in that, The process of obtaining the charging parameter information of the first charging pile includes: Obtain the charging power of the first charging pile.

3. The method for selecting charging piles according to claim 2, characterized in that, The process of obtaining the vehicle's battery parameter information includes: Obtain the required charging power for the vehicle; The step of determining the duration score data corresponding to the first charging pile based on the charging parameter information, the power parameter information, and the estimated parking duration includes: Based on the charging power and the required charging amount, the first estimated charging time corresponding to the first charging pile is determined; Calculate the difference between the first estimated charging time and the estimated parking time to obtain the first difference; The duration score data corresponding to the first charging pile is determined based on the first difference, wherein the first difference and the duration score data have a mapping relationship.

4. The method for selecting charging piles according to claim 2, characterized in that, The process of obtaining the vehicle's battery parameter information includes: Obtain the required charging power and remaining power of the vehicle; The step of determining the duration score data corresponding to the first charging pile based on the charging parameter information, the power parameter information, and the estimated parking duration includes: Based on the charging power, the required charging power, and the remaining power, the second estimated charging time corresponding to the first charging pile is determined. Calculate the difference between the second estimated charging time and the estimated parking time to obtain the second difference; The duration score data corresponding to the first charging pile is determined based on the second difference, wherein the second difference and the duration score data have a mapping relationship.

5. The method for selecting charging piles according to claim 4, characterized in that, After obtaining the vehicle's battery parameters and the vehicle's estimated parking duration, the method further includes: Acquire temperature information, wherein the temperature information includes at least the battery temperature of the vehicle and / or the ambient temperature; The step of determining the duration score data corresponding to the first charging pile based on the charging parameter information, the power parameter information, and the estimated parking duration includes: Based on the charging power, the required charging capacity, the remaining power, and the temperature information, the third estimated charging time corresponding to the first charging pile is determined. Calculate the difference between the third estimated charging time and the estimated parking time to obtain the third difference; The duration score data corresponding to the first charging pile is determined based on the third difference, wherein the third difference and the duration score data have a mapping relationship.

6. The method for selecting charging piles according to any one of claims 3 to 5, characterized in that, The step of determining the power rating data corresponding to the first charging pile based on the charging parameter information and the power parameter information includes: Based on the charging power of the first charging pile, the expected charging amount of the first charging pile during the expected parking time is obtained; Calculate the difference between the expected charging capacity and the required charging capacity to obtain a fourth difference; The power rating data corresponding to the first charging pile is determined based on the fourth difference, wherein the fourth difference and the power rating data have a mapping relationship.

7. The method for selecting charging piles according to claim 1, characterized in that, Before obtaining the charging parameter information of the first charging pile, the method further includes: Obtain the distance between the vehicle's current location and its destination location; If the distance is greater than a first distance threshold, then multiple charging piles within a first area and the status information of each charging pile are obtained, where the first area corresponds to the destination location; or If the distance is less than or equal to the first distance threshold, then multiple charging piles in the second area and the status information of each charging pile are obtained, and the second area corresponds to the current location; Based on the status information of each charging pile, multiple charging piles to be selected are determined, wherein the status information of the charging pile is used to indicate the occupancy status and / or the damage status of the charging pile.

8. The method for selecting charging piles according to claim 6, characterized in that, The method further includes: Obtain the charging price information of the first charging pile; Based on the charging price information and the required charging amount, the charging cost for the vehicle to be charged by the first charging pile is determined. Based on the estimated parking duration, the parking fee for the vehicle is determined; Calculate the sum of the charging cost and the parking cost to obtain the total cost; The cost score data corresponding to the first charging pile is determined based on the total cost, wherein there is a mapping relationship between the total cost and the cost score data.

9. The method for selecting charging piles according to claim 8, characterized in that, The weighted processing of the duration score data and the power consumption score data to obtain the comprehensive score data of the first charging pile includes: The duration score data, the power consumption score data, and the cost score data are weighted and processed to obtain the comprehensive score data of the first charging pile.

10. A charging pile selection device, characterized in that, Applied to vehicles, the device includes: The first acquisition module is used to acquire the charging parameter information of the first charging pile, wherein the first charging pile is any one of a plurality of selectable charging piles for the vehicle. The second acquisition module is used to acquire the vehicle's battery power parameters and the vehicle's estimated parking time. A first determining module is configured to determine the duration rating data corresponding to the first charging pile based on the charging parameter information, the power parameter information, and the estimated parking duration; wherein, determining the duration rating data corresponding to the first charging pile based on the charging parameter information, the power parameter information, and the estimated parking duration includes: determining the estimated charging duration of the first charging pile based on the charging parameter information and the power parameter information; calculating the difference between the estimated charging duration and the estimated parking duration; and determining the duration rating data corresponding to the first charging pile based on the difference. The second determining module is used to determine the power rating data corresponding to the first charging pile based on the charging parameter information and the power parameter information; wherein, determining the power rating data corresponding to the first charging pile based on the charging parameter information and the power parameter information includes: obtaining the expected charging power of the first charging pile within the expected parking time based on the power parameter information; calculating the difference between the expected charging power and the power parameter information; and determining the power rating data corresponding to the first charging pile based on the difference; The processing module is used to perform weighted processing on the duration score data and the power score data to obtain the comprehensive score data of the first charging pile; The selection module is used to determine a second charging pile for charging the vehicle from the plurality of charging piles based on the comprehensive score data of each of the plurality of charging piles to be selected.

11. A vehicle, characterized in that, The vehicles include: Memory, used to store executable program code; A processor is configured to call and run the executable program code from the memory, causing the vehicle to perform the method for selecting a charging station as described in any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed, implements the method for selecting charging piles as described in any one of claims 1 to 9.

Citation Information

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