Charging pile recommendation method and device, electronic equipment and storage medium

Abstract

The invention discloses a charging pile recommendation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the vehicle information of a to-be-charged vehicle and the charging pile information of a solar charging pile, determining at least one candidate charging pile, determining the sun angle parameter of the sun relative to each candidate charging pile, obtaining a power generation efficiency coefficient of each candidate charging pile, determining a driving path from the to-be-charged vehicle to each candidate charging pile and a driving duration corresponding to the driving path, determining a charging duration of the to-be-charged vehicle and a charging cost corresponding to the charging duration, and according to the power generation efficiency coefficient, the driving duration, the charging duration and the charging cost, charging the to-be-charged vehicle according to the power generation efficiency coefficient, the driving duration, the charging duration and the charging cost. And determining a target charging pile from the candidate charging piles, recommending the target charging pile to the to-be-charged vehicle, and prompting the to-be-charged vehicle to drive to the target charging pile according to the driving path for charging. According to the embodiment of the invention, the intelligent charging pile recommendation is realized by integrating the vehicle battery demand, the charging pile state, the path cost and the solar power generation efficiency.

Description

Technical Field

[0001] This application belongs to the field of vehicle charging technology, specifically relating to a charging pile recommendation method, device, electronic equipment, and storage medium. Background Technology

[0002] With the rapid development and popularization of electric vehicles, charging convenience and charging experience have become the focus of users' attention. At the same time, charging infrastructure, especially green charging stations that integrate renewable energy, has become the key to supporting the sustainable development of the industry. Among them, solar charging piles, which combine photovoltaic power generation with charging services, are a commonly used green energy replenishment point and their distribution is becoming increasingly widespread.

[0003] Currently, mainstream charging station recommendation systems, such as in-car navigation systems or mobile apps, recommend available charging stations to users based on a single metric, such as proximity, along with the location of the charging station, the vehicle's current location, and remaining driving range. However, existing charging station recommendation systems completely fail to consider the core characteristics of solar charging stations—their power generation efficiency and available green energy quantity dynamically change with time, weather, and season. The system might recommend a solar charging station that is geographically closest but has extremely low power generation efficiency at that time, such as in the evening or on a rainy day. This results in the vehicle's actual charging efficiency being far lower than expected, failing to meet the user's charging needs and failing to effectively utilize green energy, thus affecting charging convenience and the user's charging experience. Summary of the Invention

[0004] The purpose of this application is to provide a charging pile recommendation method, device, electronic device, and storage medium, which can solve the problem that existing charging pile recommendations are based on a single indicator such as proximity, without considering the core characteristics of solar charging piles. This results in the actual charging efficiency of vehicles being far lower than expected, making it difficult to meet users' charging needs and failing to effectively utilize green energy, thus affecting charging convenience and user charging experience.

[0005] To solve the above-mentioned technical problems, this application is implemented as follows: In a first aspect, embodiments of this application provide a method for recommending charging piles, the method comprising: Obtain vehicle information of the vehicle to be charged and charging pile information of the solar charging pile; wherein, the vehicle information includes remaining battery power and vehicle location, and the charging pile information includes charging pile location, usage status, charging power and assembly parameters, and the assembly parameters include the installation tilt angle and orientation angle of the photovoltaic panel of the solar charging pile; Based on the vehicle location, charging pile location, and usage status, at least one candidate charging pile is determined; Based on the current position of the sun and the position of the charging pile, determine the solar angle parameter of the sun relative to each of the candidate charging piles; Based on the solar angle parameters and the assembly parameters, the power generation efficiency coefficient of each candidate charging pile is determined; wherein, the power generation efficiency coefficient is used to represent the power generation efficiency of the solar charging pile; Based on the remaining battery power, vehicle location, and charging pile location, determine the driving path of the vehicle to be charged to each of the candidate charging piles, as well as the driving time corresponding to the driving path; Based on the remaining battery power, charging power, and power generation efficiency coefficient, determine the charging time of the vehicle to be charged, and the charging cost corresponding to the charging time. Based on the power generation efficiency coefficient, driving time, charging time and charging cost, a target charging pile is determined from the candidate charging piles; The system recommends the target charging station to the vehicle to be charged and prompts the vehicle to travel along the specified route to the target charging station for charging.

[0006] Optionally, determining at least one candidate charging station based on the vehicle location, charging station location, and usage status includes: Using the vehicle's location as the search origin, the search area is determined based on a preset search radius; Based on the location of the charging piles, solar charging piles located within the search area are selected; From the solar charging piles in the search area, solar charging piles that are in an idle state are identified as candidate charging piles.

[0007] Optionally, determining the solar angle parameter relative to each candidate charging pile based on the current position of the sun and the position of the charging pile includes: Based on the current standard date, standard time, and the location of the charging pile, determine the current position of the sun at the location of the charging pile; Based on the current position of the sun at the location of the charging pile, the solar angle parameters of each candidate charging pile are calculated, including the solar altitude angle and the solar azimuth angle.

[0008] Optionally, determining the power generation efficiency coefficient of each candidate charging pile based on the solar angle parameter and the assembly parameters includes: Based on the solar angle parameters and the assembly parameters, the solar incidence angle between the sunlight and the photovoltaic panel of the candidate charging pile is determined; The power generation efficiency of the candidate charging pile is determined based on the predetermined correspondence between the solar incident angle and the power generation efficiency. The power generation efficiency of the candidate charging piles is normalized and mapped to obtain the power generation efficiency coefficient of each candidate charging pile.

[0009] Optionally, determining the travel path from the vehicle to each candidate charging station, and the corresponding travel time, based on the remaining battery power, vehicle location, and charging station location, includes: For each candidate charging station, a route is planned based on the vehicle location and the charging station location of the candidate charging station to obtain the planned route and the corresponding travel time. Determine the predicted electricity consumption of the vehicle to be charged as it travels along the planned path to the candidate charging station; The planned path and travel time where the remaining power is greater than the predicted power consumption are determined as the travel path and travel time from the vehicle to be charged to the candidate charging station.

[0010] Optionally, determining the target charging station from the candidate charging stations based on the power generation efficiency coefficient, driving time, charging time, and charging cost includes: Using preset weighting coefficients, the power generation efficiency coefficient, driving time, charging time and charging cost are weighted and fused to obtain the evaluation result of each candidate charging pile; The candidate charging piles are sorted in ascending order of the evaluation results to determine the recommendation priority of the candidate charging piles; Based on the recommendation priority from high to low, at least one target charging station is determined from the candidate charging stations.

[0011] Optionally, recommending the target charging station to the vehicle to be charged and prompting the vehicle to drive along the driving route to the target charging station for charging includes: The target charging station is displayed to the vehicle to be charged, and the target charging station is recommended to the vehicle to be charged; In response to receiving a confirmation command from the charging station returned by the vehicle to be charged, navigation is performed based on the driving path of the vehicle to be charged to the target charging station, prompting the vehicle to be charged to the target charging station for charging.

[0012] Secondly, embodiments of this application provide a charging pile recommendation device, which includes: The information acquisition module is used to acquire vehicle information of the vehicle to be charged and charging pile information of the solar charging pile; wherein, the vehicle information includes the remaining power and vehicle location, and the charging pile information includes the charging pile location, usage status, charging power and assembly parameters, and the assembly parameters include the installation tilt angle and orientation angle of the photovoltaic panel of the solar charging pile; The candidate determination module is used to determine at least one candidate charging pile based on the vehicle location, charging pile location, and usage status. The first determining module is used to determine the solar angle parameter of the sun relative to each of the candidate charging piles based on the current position of the sun and the position of the charging piles. The second determining module is used to determine the power generation efficiency coefficient of each candidate charging pile based on the solar angle parameters and the assembly parameters; wherein the power generation efficiency coefficient is used to represent the power generation efficiency of the solar charging pile. The third determining module is used to determine the driving path of the vehicle to be charged to each of the candidate charging piles, and the driving time corresponding to the driving path, based on the remaining power, vehicle location and charging pile location. The fourth determining module is used to determine the charging time of the vehicle to be charged and the charging cost corresponding to the charging time based on the remaining power, charging power and power generation efficiency coefficient. The charging pile determination module is used to determine the target charging pile from the candidate charging piles based on the power generation efficiency coefficient, driving time, charging time and charging cost. The charging prompt module is used to recommend the target charging station to the vehicle to be charged and prompt the vehicle to drive to the target charging station according to the driving route for charging.

[0013] Thirdly, embodiments of this application provide an electronic device including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the method described in the first aspect.

[0014] Fourthly, embodiments of this application provide a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method described in the first aspect.

[0015] This application provides a charging pile recommendation method. It acquires vehicle information of the vehicle to be charged and charging pile information of a solar charging pile. Based on the vehicle location, charging pile location, and usage status, it determines at least one candidate charging pile. Based on the current solar position and charging pile location, it determines the solar angle parameter relative to each candidate charging pile. Based on the solar angle parameter and assembly parameters, it determines the power generation efficiency coefficient of each candidate charging pile. Based on the remaining battery power, vehicle location, and charging pile location, it determines the driving path from the vehicle to each candidate charging pile and the corresponding driving time. Based on the remaining battery power, charging power, and power generation efficiency coefficient, it determines the charging time of the vehicle to be charged and the corresponding charging cost. Based on the power generation efficiency coefficient, driving time, charging time, and charging cost, it determines a target charging pile from the candidate charging piles, recommends the target charging pile to the vehicle to be charged, and prompts the vehicle to drive to the target charging pile according to the driving path for charging. This application embodiment accurately assesses the actual power generation potential, driving energy consumption, charging energy consumption, and economic cost of each solar charging pile at the current moment by comprehensively considering the static and dynamic information of the vehicle and the charging pile. It integrates the vehicle's battery demand, the charging pile status, the route cost, and the solar power generation efficiency to achieve a multi-objective balance between driving energy consumption, charging energy consumption, economic cost, and real-time solar power generation efficiency. It recommends and navigates users to the solar charging pile with the lowest overall cost and the highest charging efficiency, thereby improving the actual charging efficiency of the vehicle, effectively shortening the user's actual charging waiting time, guiding the vehicle to use solar charging piles with high power generation efficiency, improving the utilization rate of green energy, realizing intelligent charging pile recommendation, and providing users with a more convenient and efficient charging travel experience, further enhancing charging convenience and user charging experience.

[0016] The above description is merely an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below. Attached Figure Description

[0017] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 This is a flowchart illustrating the steps of a charging pile recommendation method provided in an embodiment of this application; Figure 2 This is a schematic diagram of the architecture of a charging pile recommendation method provided in an embodiment of this application; Figure 3This is a flowchart illustrating a charging pile recommendation method provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of a charging pile recommendation device provided in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0018] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, 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.

[0019] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0020] The charging pile recommendation method, device, electronic device, and storage medium provided in this application will be described in detail below with reference to the accompanying drawings and through specific embodiments and application scenarios.

[0021] Reference Figure 1 The flowchart illustrates the steps of a charging pile recommendation method provided in an embodiment of this application. The method may include: Step 101: Obtain vehicle information of the vehicle to be charged and charging pile information of the solar charging pile; wherein, vehicle information includes remaining battery power and vehicle location, and charging pile information includes charging pile location, usage status, charging power and assembly parameters, and assembly parameters include the installation tilt angle and orientation angle of the photovoltaic panel of the solar charging pile.

[0022] In this embodiment, to address the problem that existing charging pile recommendations based on a single indicator such as proximity fail to consider the core characteristics of solar charging piles, resulting in actual vehicle charging efficiency being far lower than expected, failing to meet user charging needs, and failing to effectively utilize green energy, thus affecting charging convenience and user charging experience, this embodiment obtains vehicle information of the vehicle to be charged and charging pile information of the solar charging pile through a cloud service platform. It then performs multi-objective optimization matching by comprehensively considering vehicle battery demand, charging pile status, route cost, and solar power generation efficiency, recommending and navigating the vehicle to the solar charging pile with the lowest overall cost and highest charging efficiency.

[0023] In this embodiment, the cloud-based service platform obtains vehicle information of the vehicle to be charged and charging pile information of the solar charging pile. The vehicle terminal uses a vehicle sensing module to collect vehicle information and uploads the vehicle information to the cloud-based service platform through an on-board communication module, including communication methods such as T-BOX, 4G / 5G, and V2X. The vehicle information includes the remaining battery power and the vehicle location. The remaining battery power (State of Charge, SOC) is the proportion of the available power in the vehicle battery to the nominal capacity, which can be obtained through the Battery Management System (BMS). The vehicle location can be obtained through GPS / BeiDou, reflecting the current location of the vehicle. The vehicle information may also include estimated driving range, battery health status, and destination information input through the navigation system. The cloud stores and dynamically updates the charging pile information of all networked solar charging piles. The charging pile information includes the location, usage status, charging power, and assembly parameters of the charging pile. In this embodiment, the charging pile information includes static information and dynamic information. Static information includes geographical coordinates reflecting the location of the charging pile, charging interface type, etc. Dynamic information includes usage status, such as whether it is currently idle or occupied, actual charging power, assembly parameters, and charging rate, etc. Assembly parameters include the installation tilt angle and orientation angle of the photovoltaic panel of the solar charging pile. The installation tilt angle refers to the angle between the plane of the photovoltaic panel and the horizontal ground. The orientation angle refers to the angle between the projection of the normal of the photovoltaic panel plane (i.e., the direction perpendicular to the panel surface) on the horizontal plane and the due south direction.

[0024] Reference Figure 2This diagram illustrates the architecture of a charging pile recommendation method provided in this application embodiment. Specifically, the vehicle and charging pile terminals interact with the cloud. The vehicle terminal integrates a vehicle status perception module, a human-machine interface, and an in-vehicle communication module. The vehicle status perception module collects or acquires vehicle status parameters, such as battery level, location, driving speed, and driving range. The human-machine interface displays information and interacts with users inside the vehicle. The in-vehicle communication module includes communication methods such as T-BOX, 4G / 5G, and V2X. It can upload vehicle information from the vehicle status perception module to the cloud and receive instructions or data from the cloud. The in-vehicle communication module also supports data transmission within the vehicle. The cloud includes a matching decision module, which, based on the solar position calculation module, charging pile database, and route planning service, combines the vehicle information from the vehicle terminal to comprehensively match and decide on the target charging pile recommended to the vehicle. The cloud is connected to the charging pile terminal, which includes multiple solar charging piles. The charging pile information of each solar charging pile can be synchronized to the charging pile database in the cloud in real time.

[0025] It should be noted that, in order to seamlessly and promptly execute the charging station recommendation function and provide charging services to the vehicle when the user generates a real charging need, in this embodiment, the vehicle continuously or periodically monitors the vehicle's remaining battery power via the BMS / CAN bus, such as every 30 seconds, and compares the real-time remaining battery power with the charging threshold. When the remaining battery power is lower than the charging threshold, the charging station recommendation is automatically triggered. It can also continuously or periodically calculate the estimated battery power after arriving at the destination based on the navigation destination set by the user. Based on the remaining battery power and the estimated battery power, if it is determined that the destination cannot be reached, it will actively prompt and trigger the charging station recommendation. In addition, the user can also manually initiate the command to find a charging station through voice or button to trigger the charging station recommendation, which will not be elaborated here.

[0026] Step 102: Determine at least one candidate charging station based on the vehicle location, charging station location, and usage status.

[0027] In this embodiment of the application, considering the geographical location and accessibility of the vehicle and the charging pile, the cloud performs preliminary screening of the charging pile based on the vehicle information reported by the vehicle to be charged and the charging pile information stored in its own database, by spatial location and usage status. Based on the vehicle location, the charging pile location and usage status, at least one candidate charging pile is determined, and the candidate charging pile that is accessible to the vehicle and currently available is determined.

[0028] In this embodiment, the cloud searches the charging pile database for solar charging piles within a certain area near the vehicle's location based on the charging pile's location and location. To ensure that the charging piles are effective and available, the cloud checks the real-time usage status of each of the initially screened solar charging piles and determines the solar charging piles that are in an idle state as candidate charging piles.

[0029] Step 103: Determine the solar angle parameters of the sun relative to each candidate charging station based on the current position of the sun and the position of the charging station.

[0030] In this embodiment of the application, in order to ensure a comprehensive evaluation of candidate charging piles and recommend and navigate vehicles to solar charging piles with the lowest overall cost and highest charging efficiency, the cloud evaluates the power generation efficiency of the solar charging piles. To determine the solar radiation intensity received by the photovoltaic panels of the charging piles and quantify the power generation efficiency of the charging piles, it is necessary to first determine the solar angle parameters relative to each candidate charging pile. Specifically, based on the current position of the sun and the position of the charging pile, the solar angle parameters relative to each candidate charging pile are determined. The solar angle parameters include the solar altitude angle and the solar azimuth angle. The solar altitude angle is the angle between the sunlight and the plane where the candidate charging pile is located, and the solar azimuth angle is the angle between the projection of the sunlight on the plane where the candidate charging pile is located and the due north direction.

[0031] In this embodiment, the solar angle parameters can be determined based on the current solar position and the location of the charging pile. The current solar position can be obtained by calling astronomical algorithms. Specifically, the cloud uses astronomical algorithms such as PSA algorithm and SPA algorithm to calculate the solar position at the specific geographical location and real time of the charging pile. The solar position can be reflected by intermediate parameters such as declination angle and hour angle in the celestial coordinate system. Then, based on the current solar position of the charging pile, the solar angle parameters of each candidate charging pile are calculated to obtain the solar altitude angle and solar azimuth angle of the sun relative to each candidate charging pile.

[0032] Step 104: Determine the power generation efficiency coefficient of each candidate charging pile based on the solar angle parameters and assembly parameters.

[0033] The power generation efficiency coefficient is used to represent the power generation efficiency of solar charging piles.

[0034] In this embodiment, the power generation efficiency coefficient of each candidate charging pile is determined based on the solar angle parameters and assembly parameters. The power generation efficiency coefficient is used to represent the power generation efficiency of the solar charging pile. The assembly parameters include the installation tilt angle and orientation angle of the photovoltaic panel of the solar charging pile. Specifically, the instantaneous power generation efficiency of the solar charging pile is proportional to the solar radiation intensity received by its photovoltaic panel surface. The solar radiation intensity is directly affected by the solar incident angle. Therefore, it is necessary to first determine the solar incident angle between the sunlight and the photovoltaic panel of the candidate charging pile based on the solar angle parameters and assembly parameters. Then, based on the correspondence between the solar incident angle and the power generation efficiency, a theoretical power generation efficiency is mapped for each candidate charging pile. The correspondence between the solar incident angle and the power generation efficiency is determined by the fact that the solar radiation intensity received by the photovoltaic panel per unit area is proportional to the cosine value of the solar incident angle.

[0035] In this embodiment, the power generation efficiency is used to represent the maximum theoretical ability of the photovoltaic panel of the charging pile to convert solar radiation energy into electrical energy under the current solar position. In order to accurately compare the power generation efficiency of each candidate charging pile, it is necessary to quantify the ability of the candidate charging pile to convert solar radiation energy into electrical energy. Therefore, the power generation efficiency is linearly mapped to a unified range. Specifically, the power generation efficiency of all current candidate charging piles is normalized to a power generation efficiency coefficient between 0 and 1. The power generation efficiency coefficient is used to represent the power generation efficiency of the solar charging pile, and the power generation efficiency coefficient of each candidate charging pile is determined.

[0036] Step 105: Based on the remaining battery power, vehicle location, and charging station location, determine the driving route from the vehicle to be charged to each candidate charging station, as well as the corresponding driving time.

[0037] In this embodiment, to ensure a comprehensive evaluation of candidate charging stations and to recommend and navigate vehicles to solar charging stations with the lowest overall cost and highest charging efficiency, considering the time factor, travel time is a negative factor affecting the total cost of the vehicle traveling to the charging station; that is, the longer the travel time, the higher the overall cost. Specifically, the cloud determines the travel path from the vehicle to each candidate charging station, as well as the corresponding travel time, based on the vehicle's remaining battery power, vehicle location, and the location of the candidate charging stations.

[0038] In practice, the cloud calls the route planning service to determine the planned route from the vehicle's location to each candidate charging station and the corresponding travel time based on real-time traffic conditions. From the planned routes, the path that the vehicle's remaining battery power can reach is selected and determined as the travel route and travel time from the vehicle to the candidate charging station.

[0039] Step 106: Determine the charging time for the vehicle to be charged, and the corresponding charging cost, based on the remaining power, charging power, and power generation efficiency coefficient.

[0040] In this embodiment, to ensure a comprehensive evaluation of candidate charging stations and to recommend and navigate vehicles to solar charging stations with the lowest overall cost and highest charging efficiency, considering the actual charging situation, charging time and charging cost are also negative factors affecting the total cost of the vehicle traveling to the charging station. That is, the longer the charging time, the higher the charging cost and the higher the overall cost. Therefore, the cloud determines the charging time and corresponding charging cost for the vehicle based on the remaining battery power, charging power, and power generation efficiency coefficient. The charging time is the time required from the start of charging to reaching the target battery level, estimated by dividing the vehicle's target battery level by (charging power of the charging station × power generation efficiency coefficient). The charging cost is the total cost to complete the charging process, specifically determined based on the service price of each candidate charging station.

[0041] Step 107: Determine the target charging station from the candidate charging stations based on the power generation efficiency coefficient, driving time, charging time and charging cost.

[0042] In this embodiment, for each candidate charging pile, path planning is performed to estimate the driving cost, and the comprehensive cost is calculated by combining the charging cost and charging efficiency. The comprehensive power generation efficiency coefficient, driving time, charging time and charging cost are weighted and fused to obtain the evaluation result of each candidate charging pile. The evaluation result reflects the comprehensive cost of each candidate charging pile. The lower the comprehensive cost of the charging pile, the higher the recommendation priority. Therefore, the candidate charging piles are sorted according to the evaluation results from smallest to largest to determine the recommendation priority of the candidate charging piles. According to the recommendation priority from high to low, the target charging pile is determined from the candidate charging piles. The target charging pile can be at least one of the candidate charging piles.

[0043] Step 108: Recommend a target charging station to the vehicle to be charged and prompt the vehicle to drive to the target charging station according to the driving route.

[0044] In this embodiment, the cloud displays the target charging station on the human-machine interface of the vehicle to be charged, recommends the target charging station to the vehicle, confirms whether the user accepts the recommended target charging station, and responds to the charging station confirmation instruction returned by the vehicle to be charged, navigates according to the driving path of the vehicle to be charged to the target charging station, and prompts the vehicle to be charged to the target charging station for charging.

[0045] This application provides a charging pile recommendation method. It acquires vehicle information of the vehicle to be charged and charging pile information of a solar charging pile. Based on the vehicle location, charging pile location, and usage status, it determines at least one candidate charging pile. Based on the current solar position and charging pile location, it determines the solar angle parameter relative to each candidate charging pile. Based on the solar angle parameter and assembly parameters, it determines the power generation efficiency coefficient of each candidate charging pile. Based on the remaining battery power, vehicle location, and charging pile location, it determines the driving path from the vehicle to each candidate charging pile and the corresponding driving time. Based on the remaining battery power, charging power, and power generation efficiency coefficient, it determines the charging time of the vehicle to be charged and the corresponding charging cost. Based on the power generation efficiency coefficient, driving time, charging time, and charging cost, it determines a target charging pile from the candidate charging piles, recommends the target charging pile to the vehicle to be charged, and prompts the vehicle to drive to the target charging pile according to the driving path for charging. This application embodiment accurately assesses the actual power generation potential, driving energy consumption, charging energy consumption, and economic cost of each solar charging pile at the current moment by comprehensively considering the static and dynamic information of the vehicle and the charging pile. It integrates the vehicle's battery demand, the charging pile status, the route cost, and the solar power generation efficiency to achieve a multi-objective balance between driving energy consumption, charging energy consumption, economic cost, and real-time solar power generation efficiency. It recommends and navigates users to the solar charging pile with the lowest overall cost and the highest charging efficiency, thereby improving the actual charging efficiency of the vehicle, effectively shortening the user's actual charging waiting time, guiding the vehicle to use solar charging piles with high power generation efficiency, improving the utilization rate of green energy, realizing intelligent charging pile recommendation, and providing users with a more convenient and efficient charging travel experience, further enhancing charging convenience and user charging experience.

[0046] To facilitate understanding of the above-described charging pile recommendation method by those skilled in the art, please refer to... Figure 3This document illustrates a flowchart of a charging pile recommendation method provided in an embodiment of this application. Specifically, when a vehicle to be charged triggers a charging demand, the cloud automatically triggers a charging pile recommendation. The vehicle reports its own status and location information to the cloud. The cloud stores the charging pile information of all networked solar charging piles. Based on the information of the vehicle to be charged and the charging pile information of the solar charging piles, candidate charging piles that are reachable and currently available are determined, resulting in a candidate charging pile list. The candidate charging pile list can include the charging pile information of each individual charging pile. The solar altitude angle and solar azimuth angle of each candidate charging pile are calculated to determine the charging pile information of each candidate charging pile. The system calculates the power generation efficiency coefficient of each charging pile, plans the route, and determines the travel time and charging energy consumption. It then weights and integrates these factors, including the power generation efficiency coefficient, travel time, charging time, and charging cost, to obtain an evaluation result for each candidate charging pile. The total cost of each candidate charging pile is assessed, and it is determined whether all candidate charging piles have been evaluated. If so, the candidate charging piles are sorted in ascending order of evaluation results to determine their recommendation priority. The target charging pile is then selected from the candidate charging piles in descending order of recommendation priority. Otherwise, the candidate charging piles are re-evaluated. After the target charging pile is determined, it is displayed to the vehicle waiting to be charged. The name, type, distance, estimated total travel time (travel and charging), and total cost of the optimal charging pile are highlighted on the vehicle's human-machine interface. Two to three other alternatives with lower overall costs can be provided for the user to compare and choose from. The system determines whether the user has confirmed the recommended target charging station. If so, navigation to the target charging station is initiated; otherwise, navigation to the user-selected charging station is initiated. The vehicle navigation system receives the final route plan from the cloud and begins real-time navigation, guiding the vehicle to the optimal solar charging station for charging.

[0047] In some embodiments of this application, step 102, which determines at least one candidate charging station based on the vehicle location, charging station location, and usage status, may specifically include the following steps: Sub-step 1021: Using the vehicle location as the search origin, determine the search area based on the preset search radius; Sub-step 1022: Based on the location of the charging piles, filter out the solar charging piles located within the search area; Sub-step 1023: From the solar charging piles in the search area, identify the solar charging piles that are in an idle state as candidate charging piles.

[0048] In this embodiment, the cloud platform, based on the vehicle information reported by the vehicle to be charged and the charging pile information stored in its own database, determines candidate charging piles that are reachable, of the same type, and currently available through preliminary screening based on space and usage status. Specifically, the vehicle location is used as the search origin, and a search area is determined based on a preset search radius. The preset search radius can be a pre-configured fixed value or a value estimated based on the vehicle's remaining battery power. The specific value of the search radius is set or adjusted according to the actual vehicle configuration, and this embodiment does not limit this. Therefore, with the current vehicle location as the center and the preset search radius as the radius, a circular area is delineated in geographical space, which is determined as the search area for nearby charging piles.

[0049] In practice, the cloud performs a spatial query in the charging pile database based on the charging pile location and search area to quickly find solar charging piles whose location coordinates fall within the search area. The cloud then filters out solar charging piles located within the search area and checks the real-time usage status of each charging pile in the search area. Charging piles in an idle state are extracted and identified as candidate charging piles. These candidate charging piles are then stored as a candidate charging pile list, where each charging pile is located within the vehicle's preset reachable range and is currently available.

[0050] In this application embodiment, the cloud-based system performs preliminary screening based on vehicle location, charging pile location, and charging pile usage status, identifying candidate charging piles that are accessible to the vehicle, match the type, and are currently available, thus narrowing down the range of charging piles to allow for further refined evaluation of the merits of each solar charging pile.

[0051] In some embodiments of this application, step 103, determining the solar angle parameter of the sun relative to each candidate charging pile based on the current position of the sun and the position of the charging pile, may specifically include the following steps: Sub-step 1031: Determine the current position of the sun at the charging pile location based on the current standard date, standard time, and charging pile location. Sub-step 1032: Based on the current position of the sun at the location of the charging pile, calculate the solar angle parameters of each candidate charging pile. The solar angle parameters include the solar altitude angle and the solar azimuth angle.

[0052] In this embodiment, to accurately measure the power generation efficiency of each solar charging pile and recommend the solar charging pile with the lowest overall cost and highest charging efficiency to the vehicle, the cloud calculates the solar angle parameters relative to the sun for each candidate charging pile based on the precise current date and time and the charging pile location. Specifically, the cloud determines the current solar position of the charging pile location based on the current standard date, standard time, and charging pile location. Based on the current solar position of the charging pile location, the cloud calculates the solar angle parameters for each candidate charging pile, including the solar altitude angle and solar azimuth angle. In the specific implementation, based on high-precision, synchronized world time, and obtaining the location of each charging pile from the candidate charging piles (which can be the latitude and longitude coordinates of the charging pile), the cloud calls the solar position calculation engine. For each candidate charging pile, the solar position calculation engine takes the charging pile location and the current UTC date and time as input parameters and uses sophisticated astronomical algorithms such as the PSA algorithm and SPA algorithm to calculate the solar position at the specific geographical location and real time of the charging pile. The solar position can be reflected by intermediate parameters such as declination angle and hour angle in the celestial coordinate system.

[0053] In this embodiment, based on the current position of the sun at the location of the charging pile, the solar angle parameters of each candidate charging pile are calculated to obtain the solar altitude angle and solar azimuth angle of the sun relative to each candidate charging pile. The solar altitude angle is the angle between the sunlight and the plane where the candidate charging pile is located, where 0° indicates that it is on the horizon and 90° indicates that it is directly overhead. The solar azimuth angle is the angle between the projection of the sunlight on the plane where the candidate charging pile is located and the due north direction.

[0054] In this application embodiment, the cloud performs high-precision calculations on the sun's position and angle for each candidate charging pile, providing real-time solar data to facilitate subsequent evaluation of the charging pile's power generation efficiency and improve the scientific rigor and accuracy of the evaluation.

[0055] In some embodiments of this application, step 104, determining the power generation efficiency coefficient of each candidate charging pile based on solar angle parameters and assembly parameters, may specifically include the following steps: Sub-step 1041: Determine the solar incidence angle between the sunlight and the photovoltaic panel of the candidate charging pile based on the solar angle parameters and assembly parameters; Sub-step 1042: Determine the power generation efficiency of the candidate charging piles based on the predetermined correspondence between the solar incident angle and the power generation efficiency. Sub-step 1043: Normalize the power generation efficiency of the candidate charging piles to obtain the power generation efficiency coefficient of each candidate charging pile.

[0056] In this embodiment, the instantaneous power generation efficiency of a solar charging pile is proportional to the solar radiation intensity received by its photovoltaic panel surface. Since solar radiation intensity is directly affected by the solar incidence angle, this embodiment utilizes solar angle parameters and assembly parameters to determine the solar incidence angle between sunlight and the photovoltaic panel of the candidate charging pile. The solar incidence angle is the angle between sunlight and the normal to the photovoltaic panel. The cosine of the solar incidence angle directly determines the solar radiation intensity received per unit area of ​​the photovoltaic panel of the charging pile. The solar angle parameters include the solar altitude angle and the solar azimuth angle, and the assembly parameters include the installation tilt angle and orientation angle of the photovoltaic panel of the solar charging pile.

[0057] In practice, for each candidate charging pile, the cloud uses the solar altitude angle, azimuth angle, and the installation tilt and orientation angle of the photovoltaic panel, applying spherical trigonometry formulas from three-dimensional geometry to calculate the angle between the sunlight and the normal to the photovoltaic panel, i.e., the solar incidence angle. Based on a pre-determined correspondence between the solar incidence angle and power generation efficiency, the power generation efficiency of the candidate charging pile is determined. This correspondence, stored in the cloud, is a mapping based on photovoltaic physics, the core of which is that the intensity of solar radiation received per unit area of ​​the photovoltaic panel is proportional to the cosine of the solar incidence angle. Based on this correspondence, a theoretical power generation efficiency value is calculated for each candidate charging pile. This value represents the maximum theoretical capacity of the charging pile's photovoltaic panel to convert solar radiation energy into electrical energy under the current solar position.

[0058] In this embodiment, the cloud performs a normalized mapping on the power generation efficiency of candidate charging piles to obtain the power generation efficiency coefficient of each candidate charging pile. The power generation efficiency values ​​of all current candidate charging piles are processed into power generation efficiency coefficients between 0 and 1, which are used to quantify the ability of candidate charging piles to convert solar radiation energy into electrical energy. The normalization mapping can adopt maximum value normalization processing, which normalizes the maximum value of the power generation efficiency value of each candidate charging pile with the theoretical power generation efficiency value of the charging pile to obtain the power generation efficiency coefficient of each candidate charging pile, thereby realizing the linear mapping of power generation efficiency to a unified range.

[0059] For example, at noon, the solar altitude angle is high, such as 70°, and the sunlight shines almost directly on the photovoltaic panel. The angle of incidence between the sunlight and the normal to the photovoltaic panel is very small, resulting in a highly concentrated amount of solar energy received per unit area of ​​the photovoltaic panel and minimal light energy loss. Therefore, the power generation efficiency coefficient is high, with an evaluation of 0.95. In the evening, the solar altitude angle is low, such as 25°, and the sunlight shines obliquely on the photovoltaic panel. The angle of incidence between the sunlight and the normal to the photovoltaic panel is large, and the same amount of solar energy is dispersed over a larger area of ​​the photovoltaic panel, equivalent to a higher efficiency coefficient per unit area. The less energy the photovoltaic panel receives and the more reflection losses, the lower the power generation efficiency coefficient is, with an assessment of 0.40. When the photovoltaic panel is oriented at 180° due south, it matches the current solar azimuth well, allowing sunlight to hit the panel at a small angle of incidence, resulting in high power generation efficiency, with an assessment of 0.90. When the photovoltaic panel is oriented at 90° due east, it is almost perpendicular to the current solar azimuth, allowing sunlight to hit the panel almost parallel to the surface, resulting in a very large angle of incidence, resulting in low power generation efficiency, with an assessment of 0.50.

[0060] This application embodiment dynamically and accurately determines the solar radiation intensity received by the photovoltaic panel of the charging pile in the cloud, quantifies the power generation efficiency of the charging pile, and transforms the solar energy utilization efficiency of charging piles in different geographical locations and with different installation methods into comparable quantitative indicators, so as to conduct a comprehensive evaluation of the charging pile.

[0061] In some embodiments of this application, step 105, which determines the driving path from the vehicle to be charged to each candidate charging station and the corresponding driving time based on the remaining battery power, vehicle location, and charging station location, may specifically include the following steps: Sub-step 1051: For each candidate charging pile, perform path planning based on the vehicle location and the charging pile location of the candidate charging pile to obtain the planned path and the corresponding travel time. Sub-step 1052: Determine the predicted electricity consumption of the vehicle to be charged as it travels along the planned route to the candidate charging station. Sub-step 1053: The planned path and travel time for which the remaining power is greater than the predicted power consumption are determined as the travel path and travel time from the vehicle to be charged to the candidate charging station.

[0062] In this embodiment, the cloud performs path planning for each candidate charging station based on the vehicle's location and the location of the candidate charging station, obtaining the planned path and its corresponding travel time. It then determines the predicted energy consumption of the vehicle traveling along the planned path to the candidate charging station. Paths with remaining energy greater than the predicted energy consumption and their corresponding travel times are identified as the correct travel paths and travel times from the vehicle to the candidate charging station. Specifically, the cloud calls the path planning service corresponding to the path planning API, such as navigation or maps, to perform path planning based on the vehicle's current location and the location of each candidate charging station. For each candidate charging station, one or more planned paths are obtained, and the optimal travel path from the vehicle's current location to each candidate charging station and its corresponding travel time are calculated. This can rely on real-time traffic data to ensure that the calculated travel path and travel time are the optimal solution based on the current traffic conditions.

[0063] In this embodiment, the cloud-based route planning service can calculate the planned routes from the vehicle's location to each candidate charging station and the corresponding travel time based on real-time traffic conditions. According to the travel time of the planned routes and the vehicle's energy consumption model, considering factors such as the vehicle's current remaining battery power, driving speed, and road conditions, it predicts the amount of electricity the vehicle will consume while traveling to each candidate charging station. This is the predicted electricity consumption of the vehicle traveling along the planned routes to the candidate charging stations. The predicted electricity consumption is compared with the remaining battery power. Only when the vehicle's remaining battery power is greater than the predicted electricity consumption is the planned route feasible. The planned routes and travel times where the remaining battery power is greater than the predicted electricity consumption are determined as the travel routes and travel times of the vehicle to the candidate charging stations.

[0064] In this application embodiment, the cloud-based system accurately calculates the driving path and driving time of the vehicle to be charged to the candidate charging station based on the actual situation, so as to comprehensively evaluate the quality of the charging station and ensure that the vehicle is recommended to the solar charging station with the lowest overall cost and the highest charging efficiency.

[0065] In some embodiments of this application, step 107, which determines the target charging pile from the candidate charging piles based on the power generation efficiency coefficient, driving time, charging time, and charging cost, may specifically include the following steps: Sub-step 1071: Using preset weighting coefficients, the power generation efficiency coefficient, driving time, charging time and charging cost are weighted and integrated to obtain the evaluation results of each candidate charging pile. Sub-step 1072: Sort the candidate charging piles according to the evaluation results from smallest to largest, and determine the recommendation priority of the candidate charging piles; Sub-step 1073: Determine at least one target charging station from the candidate charging stations according to the recommendation priority from high to low.

[0066] In this embodiment, the cloud platform uses preset weighting coefficients to weight and fuse the power generation efficiency coefficient, driving time, charging time, and charging cost to calculate the comprehensive cost of each candidate charging pile. The comprehensive cost function is designed to consider multiple factors, including driving time, charging time, charging cost, and the power generation efficiency of the solar charging pile, to ensure that the evaluation results comprehensively reflect the advantages and disadvantages of each charging pile. Specifically, preset weighting coefficients are used to weight and fuse the power generation efficiency coefficient, driving time, charging time, and charging cost to obtain the evaluation results of each candidate charging pile. The candidate charging piles are sorted in ascending order of evaluation results to determine the recommendation priority of the candidate charging piles. Based on the recommendation priority from high to low, at least one target charging pile is determined from the candidate charging piles.

[0067] In practice, for each candidate charging station, route planning is performed to estimate the driving cost. Combined with the charging cost and solar energy revenue, a comprehensive cost is calculated. The evaluation result for each candidate charging station is reflected in the total cost, which includes driving time, charging time, charging cost, and solar power generation efficiency. Driving time, charging time, and charging cost are positive influencing factors; the higher the value, the higher the total cost. The solar power generation efficiency coefficient is a negative influencing factor; the higher the value, the lower the total cost. The formula for calculating the total cost is as follows: Total cost = α × driving time + β × charging time + γ × charging cost δ×Power generation efficiency coefficient Among them, the driving time is the time required to travel from the current vehicle location to the target charging station; the charging time is the time required from the start of charging to reaching the target battery level, estimated by the vehicle's target battery level / (charging power of the charging station × power generation efficiency coefficient); the charging cost is the total cost required to complete the charging; the power generation efficiency coefficient is the maximum theoretical capacity of the charging station's photovoltaic panels to convert solar radiation energy into electrical energy under the current sun position, with a value range of [0, 1]; α, β, γ, and δ are the weighting coefficients of each parameter, and the specific values ​​can be set by user preferences or system strategies. The sum of α, β, γ, and δ is 1. For example, the weighting coefficient α for driving time is 0.1, the weighting coefficient β for charging time is 0.2, the weighting coefficient γ for charging cost is 0.4, and the weighting coefficient δ for power generation efficiency coefficient is 0.3. If more emphasis is placed on time, cost, or energy utilization, the weights of the corresponding parameters can be adjusted.

[0068] In this embodiment, candidate charging piles are sorted according to the comprehensive cost assessment results to determine the recommendation priority of each charging pile. The lower the comprehensive cost of the charging pile, the higher the priority. By sorting, the recommendation priority of each charging pile is clearly displayed so as to quickly select the optimal charging pile. According to the recommendation priority, at least one target charging pile is determined from the candidate charging piles. In general, the charging pile with the highest recommendation priority is selected as the recommended target charging pile. In some special cases, the top three or other preset number of charging piles with the highest recommendation priority can be recommended to the user to meet the user's needs.

[0069] This application embodiment integrates vehicle battery demand, charging pile status, route cost, and solar power generation efficiency in the cloud, achieving a multi-objective balance between driving energy consumption, charging energy consumption, economic cost, and real-time solar power generation efficiency. It recommends and navigates users to solar charging piles with the lowest overall cost and the highest charging efficiency, realizing intelligent charging pile recommendation.

[0070] In some embodiments of this application, step 108, recommending a target charging station to the vehicle to be charged and prompting the vehicle to drive to the target charging station according to the driving route for charging, may specifically include the following steps: Sub-step 1081: Display the target charging station to the vehicle to be charged and recommend the target charging station to the vehicle to be charged. Sub-step 1082: In response to receiving the charging pile confirmation instruction returned by the vehicle to be charged, navigation is performed according to the driving path of the vehicle to be charged to the target charging pile, and the vehicle to be charged is prompted to go to the target charging pile for charging.

[0071] In this embodiment, the vehicle's human-machine interface is deeply integrated with the vehicle navigation. The cloud displays the target charging station on the human-machine interface of the vehicle to be charged, recommends the target charging station to the vehicle, confirms whether the user accepts the recommended target charging station, and in response to receiving the charging station confirmation instruction returned by the vehicle to be charged, directly marks the location of the recommended charging station on the vehicle map, navigates according to the driving path of the vehicle to be charged to the target charging station, and prompts the vehicle to be charged to the target charging station for charging.

[0072] In practice, the cloud displays the recommended target charging station information to the vehicle waiting to be charged and recommends the target charging station to the vehicle. The purpose is to allow vehicle users to intuitively and clearly understand the target charging station recommended by the cloud and decide whether to accept the recommendation. Specifically, the user can be prompted via voice or text: "We recommend going to charging station A for charging. The estimated driving time is 15 minutes, the charging fee is 30 yuan, and the charging time is 60 minutes. Do you accept the recommendation?" Through clear recommendation prompts, users can quickly understand the information of the target charging station and make a decision on whether to accept the recommendation. If the user confirms acceptance of the recommendation, the cloud receives the charging station confirmation instruction from the vehicle waiting to be charged and navigates the vehicle to the target charging station according to the driving route of the vehicle waiting to be charged, prompting the vehicle to go to the target charging station for charging.

[0073] It should be noted that if the user confirms that they do not accept the recommendation, the route can be replanned based on the charging station specified by the user in the human-computer interaction interface. The navigation will be based on the driving route of the vehicle to be charged to the charging station confirmed by the user, and the vehicle will be prompted to charge at the charging station. This embodiment will not elaborate on this step.

[0074] This application embodiment recommends and navigates users to solar charging stations with the lowest overall cost and highest charging efficiency, guiding vehicles to use solar charging stations with high power generation efficiency, realizing intelligent charging station recommendation, and providing users with a more convenient and efficient charging travel experience.

[0075] Reference Figure 4 The diagram shows a structural schematic of a charging pile recommendation device provided in an embodiment of this application. The device includes: The information acquisition module 201 is used to acquire vehicle information of the vehicle to be charged and charging pile information of the solar charging pile; wherein, the vehicle information includes the remaining power and vehicle location, and the charging pile information includes the charging pile location, usage status, charging power and assembly parameters, and the assembly parameters include the installation tilt angle and orientation angle of the photovoltaic panel of the solar charging pile. The candidate determination module 202 is used to determine at least one candidate charging pile based on the vehicle location, charging pile location, and usage status. The first determining module 203 is used to determine the solar angle parameter of the sun relative to each of the candidate charging piles based on the current position of the sun and the position of the charging piles. The second determining module 204 is used to determine the power generation efficiency coefficient of each candidate charging pile based on the solar angle parameters and the assembly parameters; wherein the power generation efficiency coefficient is used to represent the power generation efficiency of the solar charging pile. The third determining module 205 is used to determine the driving path of the vehicle to be charged to each of the candidate charging piles, and the driving time corresponding to the driving path, based on the remaining power, vehicle location and charging pile location. The fourth determining module 206 is used to determine the charging time of the vehicle to be charged and the charging cost corresponding to the charging time based on the remaining power, charging power and power generation efficiency coefficient. The charging pile determination module 207 is used to determine the target charging pile from the candidate charging piles based on the power generation efficiency coefficient, driving time, charging time and charging cost. The charging prompt module 208 is used to recommend the target charging station to the vehicle to be charged and prompt the vehicle to drive to the target charging station according to the driving route for charging.

[0076] Optionally, the candidate determination module 202 includes: The first determining submodule is used to determine the search area based on the vehicle position as the search origin and a preset search radius; The filtering submodule is used to filter out solar charging piles located within the search area based on the location of the charging piles; The second determining submodule is used to determine, from the solar charging piles in the search area, the solar charging piles whose usage status is idle as candidate charging piles.

[0077] Optionally, the first determining module 203 includes: The third determination submodule is used to determine the current position of the sun at the location of the charging pile based on the current standard date, standard time, and location of the charging pile. The calculation submodule is used to calculate the solar angle parameters of each candidate charging pile based on the current solar position of the charging pile location. The solar angle parameters include the solar altitude angle and the solar azimuth angle.

[0078] Optionally, the second determining module 204 includes: The fourth determining submodule is used to determine the solar incidence angle between sunlight and the photovoltaic panel of the candidate charging pile based on the solar angle parameters and the assembly parameters. The fifth determining submodule is used to determine the power generation efficiency of the candidate charging pile based on a pre-determined correspondence between the solar incident angle and the power generation efficiency. The mapping submodule is used to normalize the power generation efficiency of the candidate charging piles to obtain the power generation efficiency coefficient of each candidate charging pile.

[0079] Optionally, the third determining module 205 includes: The route planning submodule is used to perform route planning for each candidate charging pile based on the vehicle location and the charging pile location of the candidate charging pile, so as to obtain the planned route and the corresponding travel time of the planned route. The sixth determining submodule is used to determine the predicted power consumption of the vehicle to be charged when it travels to the candidate charging pile according to the planned path; The seventh determination submodule is used to determine the planned path and travel time of the vehicle to be charged to the candidate charging pile as the path and travel time of the vehicle whose remaining power is greater than the predicted power consumption.

[0080] Optionally, the charging pile determination module 207 includes: The evaluation submodule is used to perform weighted fusion of the power generation efficiency coefficient, driving time, charging time and charging cost using preset weighting coefficients to obtain the evaluation result of each candidate charging pile; The sorting submodule is used to sort the candidate charging piles in ascending order according to the evaluation results, and determine the recommendation priority of the candidate charging piles; The eighth determination submodule is used to determine at least one target charging pile from the candidate charging piles according to the recommendation priority from high to low.

[0081] Optionally, the charging indicator module 208 includes: The display submodule is used to display the target charging pile to the vehicle to be charged and recommend the target charging pile to the vehicle to be charged. The prompting submodule is used to respond to the charging pile confirmation command returned by the vehicle to be charged, navigate according to the driving path of the vehicle to be charged to the target charging pile, and prompt the vehicle to be charged to the target charging pile for charging.

[0082] The charging pile recommendation device provided in this application embodiment can realize each process of the charging pile recommendation method in the above embodiments of this application. To avoid repetition, it will not be described again here.

[0083] This application provides a charging pile recommendation device that obtains vehicle information of a vehicle to be charged and charging pile information of a solar charging pile. Based on the vehicle location, charging pile location, and usage status, it determines at least one candidate charging pile. Based on the current solar position and charging pile location, it determines the solar angle parameter relative to each candidate charging pile. Based on the solar angle parameter and assembly parameters, it determines the power generation efficiency coefficient of each candidate charging pile. Based on the remaining power, vehicle location, and charging pile location, it determines the driving path from the vehicle to each candidate charging pile and the corresponding driving time. Based on the remaining power, charging power, and power generation efficiency coefficient, it determines the charging time of the vehicle to be charged and the corresponding charging cost. Based on the power generation efficiency coefficient, driving time, charging time, and charging cost, it determines a target charging pile from the candidate charging piles, recommends the target charging pile to the vehicle to be charged, and prompts the vehicle to drive to the target charging pile according to the driving path for charging. This application embodiment accurately assesses the actual power generation potential, driving energy consumption, charging energy consumption, and economic cost of each solar charging pile at the current moment by comprehensively considering the static and dynamic information of the vehicle and the charging pile. It integrates the vehicle's battery demand, the charging pile status, the route cost, and the solar power generation efficiency to achieve a multi-objective balance between driving energy consumption, charging energy consumption, economic cost, and real-time solar power generation efficiency. It recommends and navigates users to the solar charging pile with the lowest overall cost and the highest charging efficiency, thereby improving the actual charging efficiency of the vehicle, effectively shortening the user's actual charging waiting time, guiding the vehicle to use solar charging piles with high power generation efficiency, improving the utilization rate of green energy, realizing intelligent charging pile recommendation, and providing users with a more convenient and efficient charging travel experience, further enhancing charging convenience and user charging experience.

[0084] Reference Figure 5 This application also provides an electronic device, such as... Figure 5 As shown, it includes a processor 301, a communication interface 302, a memory 303, and a communication bus 304, wherein the processor 301, the communication interface 302, and the memory 303 communicate with each other through the communication bus 304. Processor 301, memory 303 for storing processor-executable instructions; The processor 501 is configured to execute the instructions to implement the charging pile recommendation method described above: Obtain vehicle information of the vehicle to be charged and charging pile information of the solar charging pile; wherein, the vehicle information includes remaining battery power and vehicle location, and the charging pile information includes charging pile location, usage status, charging power and assembly parameters, and the assembly parameters include the installation tilt angle and orientation angle of the photovoltaic panel of the solar charging pile; Based on the vehicle location, charging pile location, and usage status, at least one candidate charging pile is determined; Based on the current position of the sun and the position of the charging pile, determine the solar angle parameter of the sun relative to each of the candidate charging piles; Based on the solar angle parameters and the assembly parameters, the power generation efficiency coefficient of each candidate charging pile is determined; wherein, the power generation efficiency coefficient is used to represent the power generation efficiency of the solar charging pile; Based on the remaining battery power, vehicle location, and charging pile location, determine the driving path of the vehicle to be charged to each of the candidate charging piles, as well as the driving time corresponding to the driving path; Based on the remaining battery power, charging power, and power generation efficiency coefficient, determine the charging time of the vehicle to be charged, and the charging cost corresponding to the charging time. Based on the power generation efficiency coefficient, driving time, charging time and charging cost, a target charging pile is determined from the candidate charging piles; The system recommends the target charging station to the vehicle to be charged and prompts the vehicle to travel along the specified route to the target charging station for charging.

[0085] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0086] The communication interface is used for communication between the aforementioned terminal and other devices.

[0087] The memory may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0088] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0089] In another embodiment provided in this application, a computer-readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, implements any of the charging pile recommendation methods described in the above embodiments.

[0090] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk (SSD)).

[0091] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0092] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0093] The above description is merely a preferred embodiment of this application and is not intended to limit the scope of protection of this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application are included within the scope of protection of this application.

Claims

1. A method for recommending charging piles, characterized in that, The method includes: Obtain vehicle information of the vehicle to be charged and charging pile information of the solar charging pile; wherein, the vehicle information includes remaining battery power and vehicle location, and the charging pile information includes charging pile location, usage status, charging power and assembly parameters, and the assembly parameters include the installation tilt angle and orientation angle of the photovoltaic panel of the solar charging pile; Based on the vehicle location, charging pile location, and usage status, at least one candidate charging pile is determined; Based on the current position of the sun and the position of the charging pile, determine the solar angle parameter of the sun relative to each of the candidate charging piles; Based on the solar angle parameters and the assembly parameters, the power generation efficiency coefficient of each candidate charging pile is determined; wherein, the power generation efficiency coefficient is used to represent the power generation efficiency of the solar charging pile; Based on the remaining battery power, vehicle location, and charging pile location, determine the driving path of the vehicle to be charged to each of the candidate charging piles, as well as the driving time corresponding to the driving path; Based on the remaining battery power, charging power, and power generation efficiency coefficient, determine the charging time of the vehicle to be charged, and the charging cost corresponding to the charging time. Based on the power generation efficiency coefficient, driving time, charging time and charging cost, a target charging pile is determined from the candidate charging piles; The system recommends the target charging station to the vehicle to be charged and prompts the vehicle to travel along the specified route to the target charging station for charging.

2. The method according to claim 1, characterized in that, The step of determining at least one candidate charging station based on the vehicle location, charging station location, and usage status includes: Using the vehicle's location as the search origin, the search area is determined based on a preset search radius; Based on the location of the charging piles, solar charging piles located within the search area are selected; From the solar charging piles in the search area, solar charging piles that are in an idle state are identified as candidate charging piles.

3. The method according to claim 1, characterized in that, The step of determining the solar angle parameter relative to each candidate charging pile based on the current position of the sun and the position of the charging pile includes: Based on the current standard date, standard time, and the location of the charging pile, determine the current position of the sun at the location of the charging pile; Based on the current position of the sun at the location of the charging pile, the solar angle parameters of each candidate charging pile are calculated, including the solar altitude angle and the solar azimuth angle.

4. The method according to claim 1, characterized in that, The step of determining the power generation efficiency coefficient of each candidate charging pile based on the solar angle parameter and the assembly parameter includes: Based on the solar angle parameters and the assembly parameters, the solar incidence angle between the sunlight and the photovoltaic panel of the candidate charging pile is determined; The power generation efficiency of the candidate charging pile is determined based on the predetermined correspondence between the solar incident angle and the power generation efficiency. The power generation efficiency of the candidate charging piles is normalized and mapped to obtain the power generation efficiency coefficient of each candidate charging pile.

5. The method according to claim 1, characterized in that, The step of determining the travel path from the vehicle to each candidate charging station, and the corresponding travel time, based on the remaining battery power, vehicle location, and charging station location, includes: For each candidate charging station, a route is planned based on the vehicle location and the charging station location of the candidate charging station to obtain the planned route and the corresponding travel time. Determine the predicted electricity consumption of the vehicle to be charged as it travels along the planned path to the candidate charging station; The planned path and travel time where the remaining power is greater than the predicted power consumption are determined as the travel path and travel time from the vehicle to be charged to the candidate charging station.

6. The method according to claim 1, characterized in that, The step of determining the target charging station from the candidate charging stations based on the power generation efficiency coefficient, driving time, charging time, and charging cost includes: Using preset weighting coefficients, the power generation efficiency coefficient, driving time, charging time and charging cost are weighted and fused to obtain the evaluation result of each candidate charging pile; The candidate charging piles are sorted in ascending order of the evaluation results to determine the recommendation priority of the candidate charging piles; Based on the recommendation priority from high to low, at least one target charging station is determined from the candidate charging stations.

7. The method according to claim 6, characterized in that, The step of recommending the target charging station to the vehicle to be charged and prompting the vehicle to drive along the driving route to the target charging station for charging includes: The target charging station is displayed to the vehicle to be charged, and the target charging station is recommended to the vehicle to be charged; In response to receiving a confirmation command from the charging station returned by the vehicle to be charged, navigation is performed based on the driving path of the vehicle to be charged to the target charging station, prompting the vehicle to be charged to the target charging station for charging.

8. A charging pile recommendation device, characterized in that, The device includes: The information acquisition module is used to acquire vehicle information of the vehicle to be charged and charging pile information of the solar charging pile; wherein, the vehicle information includes the remaining power and vehicle location, and the charging pile information includes the charging pile location, usage status, charging power and assembly parameters, and the assembly parameters include the installation tilt angle and orientation angle of the photovoltaic panel of the solar charging pile; The candidate determination module is used to determine at least one candidate charging pile based on the vehicle location, charging pile location, and usage status. The first determining module is used to determine the solar angle parameter of the sun relative to each of the candidate charging piles based on the current position of the sun and the position of the charging piles. The second determining module is used to determine the power generation efficiency coefficient of each candidate charging pile based on the solar angle parameters and the assembly parameters; wherein the power generation efficiency coefficient is used to represent the power generation efficiency of the solar charging pile. The third determining module is used to determine the driving path of the vehicle to be charged to each of the candidate charging piles, and the driving time corresponding to the driving path, based on the remaining power, vehicle location and charging pile location. The fourth determining module is used to determine the charging time of the vehicle to be charged and the charging cost corresponding to the charging time based on the remaining power, charging power and power generation efficiency coefficient. The charging pile determination module is used to determine the target charging pile from the candidate charging piles based on the power generation efficiency coefficient, driving time, charging time and charging cost. The charging prompt module is used to recommend the target charging station to the vehicle to be charged and prompt the vehicle to drive to the target charging station according to the driving route for charging.

9. An electronic device, characterized in that, include: processor; Memory used to store processor-executable instructions; The processor is configured to execute the instructions to implement the charging pile recommendation method as described in any one of claims 1 to 7.

10. A readable storage medium, characterized in that, A computer program is stored on the readable storage medium, which, when executed by a processor, implements the charging pile recommendation method as described in any one of claims 1 to 7.

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