Electric vehicle charging control strategy integrating path planning and target charging area

Abstract

The present invention provides an electric vehicle charging control strategy integrating path planning and target charging areas, comprising: responding to a binding request of a user end to an electric vehicle, binding a corresponding account of the user end to the electric vehicle, obtaining vehicle status information, wherein the vehicle status information includes the current constant speed endurance; obtaining the real-time position of the vehicle and the riding end position, calling a preset decision strategy to determine a target shared charging area within a preset search range; generating a travel path according to the real-time position of the vehicle and the target shared charging area, and sending the travel path to the user end, wherein the travel path includes a walking section and a riding section; when recognizing that the electric vehicle moves to the target shared charging area based on the travel path, obtaining vehicle model information, determining an adapted charging pile according to the vehicle model information, and generating an indication signal to guide the user to move the electric vehicle to a designated charging position for charging.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle charging, and in particular to an electric vehicle charging control strategy integrating path planning and target charging area. Background Art

[0002] As an economical, easy-to-use and environmentally friendly means of transportation, electric vehicles are becoming more and more popular in daily travel and are gradually becoming the preferred means of short-distance travel for people. However, the battery life of electric vehicles is limited. During riding, they are often unable to reach their destination smoothly due to insufficient power, which brings many inconveniences to users. The emergence and widespread use of shared charging piles have greatly alleviated the range anxiety of electric vehicle users and improved the convenience of using electric vehicles.

[0003] However, when an electric vehicle is running low on power during riding, users are mostly forced to find shared charging areas and shared charging piles compatible with electric vehicles in the area, which consumes a lot of time and energy. In addition, the fixed charging standards cannot meet the users' personalized charging needs. Summary of the invention

[0004] The present invention provides an electric vehicle charging control strategy that integrates path planning and target charging areas, which solves the problem of how to automatically match suitable shared charging piles for electric vehicles that are low on power during riding and set flexible charging billing standards, thereby reducing the user's time and energy consumption and meeting the user's personalized charging needs.

[0005] According to one aspect of the present invention, there is provided an electric vehicle charging control strategy integrating path planning and a target charging area, the method comprising: responding to a binding request of a user terminal to an electric vehicle, binding a corresponding account of the user terminal to the electric vehicle, obtaining vehicle status information, the vehicle status information including the current constant speed endurance, obtaining the real-time position of the vehicle and the position of the end point of riding, calling a preset decision strategy to determine a target shared charging area within a preset search range, performing path planning according to the real-time position of the vehicle and the target shared charging area, generating a travel path, sending the travel path to the user terminal, identifying that when the electric vehicle moves to the target shared charging area based on the travel path, obtaining vehicle model information, determining an adapted charging pile according to the vehicle model information, and generating an indication signal to guide the user to move the electric vehicle to a designated charging position for charging.

[0006] Optionally, the real-time position of the vehicle and the position of the end point of the ride are obtained, and a preset decision strategy is called to determine a target shared charging area within a preset search range, including: obtaining the GPS positioning coordinates of the electric vehicle, determining the GPS positioning coordinates as the real-time position of the vehicle of the electric vehicle, receiving the end point of the ride sent by the user end, determining an original moving path according to the real-time position of the vehicle and the end point of the ride, determining the distance corresponding to the original moving path as a target travel distance, comparing the target travel distance with the current constant speed endurance, and when the target travel distance is greater than the current constant speed endurance, calling a preset decision strategy to obtain a candidate shared charging area within the preset search range, and obtaining the candidate shared charging area. The center position of the candidate shared charging area is determined, the shortest vertical distance from the center position to the original moving path is calculated, the shortest vertical distance is determined as the yaw distance of the candidate shared charging area, the charging path is determined based on the real-time position of the vehicle and the center position, the angle between the original moving path and the charging path is determined as the yaw angle of the candidate shared charging area, the required endurance distance of the candidate shared charging area is obtained, the required endurance distance represents the distance that the electric vehicle travels from the candidate shared charging area to the riding end position, the evaluation value corresponding to each candidate shared charging area is calculated based on the yaw distance, the yaw angle and the required endurance distance, and the target shared charging area is determined according to the evaluation values.

[0007] Optionally, calculating the evaluation value corresponding to each candidate shared charging area based on the yaw distance, the yaw angle and the required endurance distance includes:

[0008] The evaluation value is calculated by the following formula: ;

[0009] in, is the evaluation value of the pth candidate shared charging zone, is the yaw distance of the pth candidate shared charging area, is the yaw angle of the pth candidate shared charging zone, is the required driving distance of the pth candidate shared charging area, is the normalized value of the yaw distance, is the normalized value of the yaw angle, is the normalized value of the required distance, is the yaw distance weight value, is the yaw angle weight value, is the required distance weight value.

[0010] Optionally, based on the yaw distance, the yaw angle and the required endurance distance, an evaluation value corresponding to each candidate shared charging area is calculated. Before determining the target shared charging area according to each evaluation value, the method further includes: comparing each yaw distance with a preset error distance respectively, and when the yaw distance is less than the preset error distance, determining the corresponding candidate shared charging area as a first shared charging area set; comparing each yaw angle with a preset error angle respectively, and when the yaw angle is less than the preset error angle, determining the corresponding candidate shared charging area as a second shared charging area set; determining an overlapping shared charging area based on the first shared charging area set and the second shared charging area set, and determining the overlapping shared charging area as a route shared charging area; determining a route distance based on the real-time position of the vehicle and the route shared charging area, comparing the route distance with the current constant speed endurance, and when the route distance is less than or equal to the current constant speed endurance, determining the route shared charging area as the target shared charging area.

[0011] Optionally, path planning is performed according to the real-time position of the vehicle and the target shared charging area to generate a travel path, and the travel path is sent to the user end, including: obtaining the riding entrance position of the target shared charging area, performing path planning based on the real-time position of the vehicle and each riding entrance position, generating multiple candidate paths, comparing the riding distances corresponding to each candidate path, obtaining the shortest riding distance, determining the candidate path corresponding to the shortest riding distance as the planned path, identifying the planned path, obtaining the terrain characteristics of the road section, segmenting the planned path based on the terrain characteristics of the road section, obtaining a first partitioned section, the first partitioned section including an upward section, a straight section and a downward section, determining that the path movement attribute of the upward section and the downward section is a riding attribute, marking each first partitioned section corresponding to the riding attribute as a riding section in the planned path, determining the path movement attribute of the straight section as a walking attribute, marking each first partitioned section corresponding to the walking attribute as a walking section in the planned path, determining the marked planned path as the travel path, and sending the travel path to the user end.

[0012] Optionally, the method also includes: identifying the planned path, obtaining road friction characteristics, segmenting the planned path based on the road friction characteristics, obtaining second partitioned sections, the second partitioned sections including rough sections and smooth sections, determining that the path movement attribute of the rough section is a riding attribute, marking each second partitioned section corresponding to the riding attribute as a riding section in the planned path, determining that the path movement attribute of the smooth section is a walking attribute, and marking each second partitioned section corresponding to the walking attribute as a walking section in the planned path.

[0013] Optionally, when identifying that the electric vehicle moves to the target shared charging area based on the travel path, obtaining vehicle model information, determining an adaptive charging pile according to the vehicle model information, and generating an indication signal, including: obtaining boundary positioning data of the target shared charging area, constructing a geographic fence based on the boundary positioning data, obtaining the current travel position of the electric vehicle, and when the current travel position is the same as the edge position of the geographic fence, determining that the electric vehicle moves to the target shared charging area based on the travel path, triggering a vehicle model acquisition request, calling a shooting device according to the vehicle model acquisition request, shooting the electric vehicle based on the shooting device, obtaining a vehicle model identification image, detecting the vehicle model identification image, obtaining vehicle model features, traversing a vehicle model database based on the vehicle model features, obtaining the vehicle model information, matching the electric vehicle with each preset charging pile in the target shared charging area according to the vehicle model information, determining an adaptive charging pile and obtaining matching data, and generating a prompt signal according to the matching data.

[0014] Optionally, the prompt signal includes a terminal prompt signal and a frame prompt signal; determining an adaptive charging pile and obtaining matching data, and generating a prompt signal according to the matching data, including: determining an adaptive charging pile corresponding to the electric vehicle, obtaining matching data between the adaptive charging pile and the electric vehicle, the matching data including matching color and frame position, performing path planning within the geographic fence according to the current travel position and the frame position, generating a charging pilot path, calling a pile model of the adaptive charging pile, configuring the color of the pile model according to the matching color, generating an indication model, generating an indication space in the charging pilot path based on the indication model and the frame position, generating a terminal prompt signal based on the indication space and the charging pilot path, sending the terminal prompt signal to a user end, configuring the color of the signal light corresponding to the adaptive charging pile according to the matching color, and generating a frame prompt signal to guide the user to move the electric vehicle to a designated charging position.

[0015] Optionally, receiving charging selection information, and obtaining charging tariffs according to the charging selection information, includes: detecting the connection status between the electric vehicle and the compatible charging pile, and when the connection status is connected, receiving the charging selection information sent by the user end, the charging selection information including the charging speed type and the charging distance type, calling the pre-designed charging rules to obtain a benchmark electricity price, determining a tariff coefficient according to the charging speed type, the tariff coefficient including a normal coefficient and a fast charging coefficient, obtaining the charging power according to the charging distance type, the charging power including a target charging power and a full charging power, and determining the charging tariff by multiplying the benchmark electricity price, the tariff coefficient and the charging power.

[0016] The electric vehicle charging control strategy integrating path planning and target charging area proposed in the present invention reduces the user's time and energy consumption by automatically matching a suitable shared charging area for an electric vehicle that is low on power during riding and determining a shared charging pile compatible with the electric vehicle in the area, and meets the user's personalized charging needs by setting flexible charging billing standards. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a flow chart of an electric vehicle charging control strategy integrating path planning and a target charging area provided by an embodiment of the present invention;

[0018] Figure 2 is a schematic diagram of a path planning provided by an embodiment of the present invention;

[0019] Figure 3 It is a schematic diagram of a geographic fence provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0021] It should be noted that, if there is no conflict, the various features in the embodiments of the present invention can be combined with each other, and all are within the protection scope of the present invention. In addition, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flow chart, in some cases, the steps shown or described can be performed in a different order from the module division in the device schematic diagram or the order in the flow chart.

[0022] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in sequences other than those illustrated or described herein.

[0023] It should be understood that in the present invention, "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0024] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0025] See also Figure 1 , Figure 1 It is a flow chart of an electric vehicle charging control strategy integrating path planning and a target charging area provided by an embodiment of the present invention, including steps S1 to S5, which are specifically as follows:

[0026] S1. Respond to a binding request from a user terminal to an electric vehicle, bind the corresponding account of the user terminal to the electric vehicle, and obtain vehicle status information, wherein the vehicle status information includes a current constant speed endurance.

[0027] Among them, the destination substation represents a specific power supply area or site, such as: an area that provides power for electric vehicles; the user end represents the operating device of the electric vehicle owner, such as a smart phone, tablet, etc.; the electric vehicle represents a two-wheeled electric vehicle, usually an electric bicycle and an electric motorcycle; the binding request represents a request initiated by the electric vehicle owner through a smart phone, tablet, etc., for associating his account with a specific electric vehicle; the account represents the identity of the electric vehicle owner in the system, including basic information (name, contact information, etc.), charging records, payment information, etc.; the vehicle status information represents the current real-time information of the electric vehicle collected by the system, such as power, speed, endurance and other data; the current constant speed endurance represents the distance that the remaining power of the electric vehicle can support at a constant speed.

[0028] Specifically, the owner of an electric vehicle can initiate a binding request by launching an application on his or her operating device (such as a smartphone or tablet) and selecting the "Bind electric vehicle" option, manually entering the electric vehicle's unique identification information (such as license plate number, device ID, etc.) and submitting it to the system server. After the system server receives and verifies the correctness of the account and electric vehicle information, it updates the associated information of the account and electric vehicle in the database, generates a confirmation message of successful binding and sends it back to the operating device. The system then connects to the electric vehicle via wireless communication, obtains the electric vehicle's current real-time information, and determines the real-time information as vehicle status information and stores it in the system database.

[0029] It should be noted that binding the user account with the electric vehicle can ensure the association between the electric vehicle and the user identity, avoid confusion between the electric vehicle information and the user, and improve the accuracy and reliability of the service; the system obtains the real-time status information of the electric vehicle through wireless communication, and can timely understand the current status of the electric vehicle, which is crucial for the monitoring and management of the electric vehicle. The current constant speed endurance obtained can provide data basis for subsequent judgment on whether it is necessary to find a shared charging pile, which can assist electric vehicle owners to understand the status of the electric vehicle and make reasonable vehicle use decisions.

[0030] S2. Obtain the real-time location of the vehicle and the location of the end point of the ride, and call the preset decision strategy to determine the target shared charging area within the preset search range.

[0031] Among them, the real-time vehicle position indicates the current physical position of the electric vehicle, which is usually the geographic coordinate information obtained by the GPS positioning system of the electric vehicle; the riding end position indicates the destination set by the user in the application of the operating device, indicating the end position the user hopes to reach; the preset decision strategy indicates the judgment rule set by the system to determine the best shared charging area; the preset search range indicates the geographical range allowed by the system when selecting a shared charging area; the target shared charging area indicates the charging area finally determined by the system where the electric vehicle should go.

[0032] It should be noted that by calling the preset decision strategy to determine the target shared charging area within the preset search range, the shared charging pile that best suits the current needs can be found, reducing the time and energy consumed by users in searching for shared charging areas on their own, and the obtained target shared charging area can provide a basis for subsequent path planning.

[0033] In some embodiments, step S2 (obtaining the real-time location of the vehicle and the location of the end point of the ride, and calling a preset decision strategy to determine the target shared charging area within a preset search range) specifically includes steps S21 to S27:

[0034] S21. Obtain the GPS positioning coordinates of the electric vehicle, and determine the GPS positioning coordinates as the real-time position of the electric vehicle.

[0035] The GPS positioning coordinates represent the geographical location data acquired by the GPS positioning system of the electric vehicle, which are usually latitude and longitude.

[0036] Specifically, the system obtains the GPS positioning coordinates through the GPS positioning system on the electric vehicle, and the GPS positioning coordinates are the current geographic location of the electric vehicle (the real-time location of the vehicle).

[0037] It should be noted that real-time acquisition of the GPS positioning coordinates of the electric vehicle can ensure that the system can grasp the current location of the electric vehicle at any time, which is the basis for all subsequent decisions.

[0038] S22, receiving the riding end position sent by the user terminal, determining the original moving path according to the real-time position of the vehicle and the riding end position, and determining the distance corresponding to the original moving path as the target travel distance.

[0039] The original moving path represents the direct path of the electric vehicle from the current real-time position of the vehicle to the end point of the ride; the target travel distance represents the total distance of the electric vehicle from the real-time position of the vehicle to the end point of the ride along the original moving path.

[0040] Specifically, the electric vehicle owner uses an application on an operating device such as a smartphone or tablet computer to input a destination into the system. The destination may be an address, landmark, GPS coordinates, etc. The system verifies the destination input by the electric vehicle owner to ensure that the location data is valid and can be used for route planning, and determines the complete moving path of the electric vehicle from the real-time position of the vehicle to the end point of the ride as the original moving path. The total driving distance corresponding to the original moving path is the target travel distance.

[0041] Example: See Figure 2 , Figure 2 is a schematic diagram of a path planning provided by an embodiment of the present invention. Point A is the real-time position of the vehicle, point B is the end point of the ride, the path from point A to point B is the original moving path, and the total travel distance between point A and point B is the target travel distance.

[0042] It should be noted that the system converts the destination entered by the electric vehicle owner into longitude and latitude coordinates, which can be calculated with the vehicle's real-time location.

[0043] S23: Compare the target travel distance with the current constant speed cruising range, and when the target travel distance is greater than the current constant speed cruising range, call a preset decision strategy to obtain a candidate shared charging area within the preset search range.

[0044] The candidate shared charging area refers to a potential area for charging electric vehicles found by the system within a preset search range, and the number may be one or more.

[0045] Specifically, the current constant speed range indicates the maximum distance that the vehicle can travel at a constant speed, and the target travel distance indicates the total distance of the electric vehicle from the current real-time position of the vehicle to the end point of the ride. By comparing the current constant speed range with the target travel distance, it can be determined whether the current constant speed range can support the electric vehicle to complete the ride to the end point of the ride. If the target travel distance is greater than the current constant speed range, it means that the current power of the electric vehicle is not enough to complete the ride from the real-time position of the vehicle to the end point of the ride, so you need to go to the shared charging area to charge the electric vehicle on the way, and then continue to the end point after the electric vehicle is charged.

[0046] For example: If the current constant speed range is 10km and the target travel distance is 15km, 15>10, it is judged that the current power of the electric vehicle is insufficient to complete the journey from the vehicle's real-time position to the destination. The electric vehicle must first be charged in the shared charging area on the way, and then continue to the destination after the electric vehicle is charged.

[0047] It should be noted that different shared charging areas may be at different distances from the current location of the vehicle. Selecting the shared charging pile that best suits the current needs can improve charging efficiency and reduce the user's time and energy consumption. For example, priority is given to shared charging areas that are closer. Calling a preset decision strategy to obtain one or more candidate shared charging areas within a preset search range is the basis for subsequently obtaining the shared charging pile that best suits the current needs. Among them, the preset search range can be adjusted according to actual conditions, and the present invention does not impose specific restrictions on this. For example, a preset search range with a radius of 8km is set based on the current location of the vehicle.

[0048] S24: Acquire the center position of the candidate shared charging area, calculate the shortest vertical distance from the center position to the original moving path, and determine the shortest vertical distance as the yaw distance of the candidate shared charging area.

[0049] Among them, the center position represents the coordinates of the geographic center point of the candidate charging area; the shortest vertical distance represents the vertical distance from the center position of the candidate shared charging area to the original moving path; the yaw distance represents the shortest distance that the electric vehicle needs to deviate from the original moving path to reach the center position of the candidate shared area.

[0050] Example: See Figure 2 The driving distance between point C and point H represents the yaw distance corresponding to the shared charging area C, and the driving distance between point D and point Q represents the yaw distance corresponding to the shared charging pile D.

[0051] It should be noted that the yaw distance indicates the degree of deviation of the candidate shared charging area from the original moving path of the electric vehicle. It can be used to evaluate whether each candidate shared charging area is easy for electric vehicle users to reach. If the yaw distance is small, it means that the candidate shared charging area is relatively easy to reach and the electric vehicle needs to travel a shorter distance.

[0052] S25. Determine a charging path based on the real-time position of the vehicle and the center position, and determine an angle between the original moving path and the charging path as a yaw angle of the candidate shared charging area.

[0053] Among them, the charging path represents the path of the electric vehicle from the real-time position of the vehicle to the center position of the shared charging area; the angle represents the angle formed between the original path of the electric vehicle to the riding end position and its deflection path to the charging area.

[0054] Example: See Figure 2 , the center position of the shared charging pile is determined as the position corresponding to the shared charging pile, the charging path corresponding to the shared charging pile C is the path from A to C, and the charging path corresponding to the shared charging pile D is the path from A to D. The original moving path is the path from A to B. The yaw angle corresponding to the shared charging pile C is the angle between the original moving path (the path from A to B) and the charging path (the path from A to C), that is, θ1; the yaw angle corresponding to the shared charging pile D is the angle between the original moving path (the path from A to B) and the charging path (the path from A to D), that is, θ2.

[0055] It should be noted that the yaw angle indicates the degree of deviation of the candidate shared charging area from the original moving path of the electric vehicle. By calculating the angle between the original moving path (i.e. the destination that the electric vehicle was originally going to) and the charging path (the path that the electric vehicle needs to deviate to reach the charging pile), it can be intuitively reflected how much the electric vehicle needs to deviate to charge. The smaller the angle, the smaller the degree of deviation of the electric vehicle's driving route, and for users, it is more convenient and ideal to choose this shared charging area.

[0056] S26. Obtain a required endurance distance of the candidate shared charging zone, where the required endurance distance represents a distance that the electric vehicle needs to travel from the candidate shared charging zone to the riding end point.

[0057] The required endurance distance represents the total travel distance of the electric vehicle from the real-time position of the vehicle through the candidate charging area to the end point of the ride.

[0058] For example, the required range distance of candidate charging zone C represents the sum of the driving distance from A to C and the driving distance from C to H, and the required range distance of candidate charging zone D represents the sum of the driving distance from A to D and the driving distance from D to Q.

[0059] It should be noted that the required range distance includes two parts. The first part is the driving distance from the current location of the vehicle to the candidate shared charging area, and the second part is the driving distance from the candidate shared charging area to the end of the ride. When choosing a shared charging area, a relatively shorter required range distance may be more ideal, which means that the electric vehicle requires less power and the journey is more efficient.

[0060] S27: Calculate evaluation values ​​corresponding to the candidate shared charging areas based on the yaw distance, the yaw angle, and the required endurance distance, and determine a target shared charging area according to the evaluation values.

[0061] The evaluation value represents the score obtained by the system through comprehensive evaluation of each candidate shared charging area.

[0062] Specifically, the evaluation values ​​corresponding to the candidate shared charging areas are calculated to obtain multiple evaluation values, and all the evaluation values ​​are compared. The shared charging area corresponding to the minimum evaluation value is the target shared charging area.

[0063] It should be noted that the calculation of the evaluation value takes into account multiple factors such as yaw distance, yaw angle, and endurance requirement distance, which can comprehensively reflect the actual applicability of each shared charging area to electric vehicles. Obtaining the evaluation value of each candidate shared charging area can comprehensively determine the shared charging area that best suits the current needs of electric vehicles, optimize the charging path, reduce the user's time and energy consumption, and improve charging efficiency.

[0064] In some embodiments, calculating the evaluation value corresponding to each candidate shared charging area based on the yaw distance, the yaw angle, and the required endurance distance includes:

[0065] The evaluation value is calculated by the following formula: ;

[0066] in, is the evaluation value of the pth candidate shared charging zone, is the yaw distance of the pth candidate shared charging area, is the yaw angle of the pth candidate shared charging zone, is the required driving distance of the pth candidate shared charging area, is the normalized value of the yaw distance, is the normalized value of the yaw angle, is the normalized value of the required distance, is the yaw distance weight value, is the yaw angle weight value, is the required distance weight value.

[0067] Specifically, in order to be able to normalize the corresponding yaw distance, yaw angle and endurance requirement distance, the three need to be normalized accordingly to facilitate subsequent analysis and calculation (the units of yaw distance and endurance requirement distance are kilometers, and the unit of yaw angle is degree. The purpose of normalization is to convert the units of the three into the same numerical coefficient for easy calculation).

[0068] It should be noted that Indicates the importance of the deviation distance. Indicates the importance of the yaw angle. Indicates the importance of the required range, which can be set according to actual needs and preferences. , , The size of =0.5, =0.3, =0.2, which is not specifically limited in the present invention.

[0069] In this embodiment, the evaluation value is calculated based on the yaw distance, yaw angle and endurance requirement distance. The smaller the evaluation value, the better the performance of the selected shared charging pile in various indicators. For example, the yaw distance is shorter, the yaw angle is smaller, or the total distance of the electric vehicle riding is shorter. The selected shared charging pile is more in line with the user's charging needs.

[0070] In some embodiments, based on the yaw distance, the yaw angle and the required endurance distance, an evaluation value corresponding to each candidate shared charging area is calculated. Before determining the target shared charging area according to each evaluation value, the method further includes steps A1-A4:

[0071] A1. Compare each yaw distance with a preset error distance. When the yaw distance is less than the preset error distance, determine the corresponding candidate shared charging area as the first shared charging area set.

[0072] Among them, the preset error distance represents a predefined threshold for measuring whether the shortest vertical distance from the candidate shared charging area to the original moving path is within an acceptable range. It is usually set by designers based on actual needs and user experience to ensure that the deviation of the candidate shared charging area is within a reasonable range; the first shared charging area set includes all shared charging areas with a smaller deviation from the original moving path.

[0073] A2. Compare each yaw angle with a preset error angle respectively. When the yaw angle is less than the preset error angle, determine the corresponding candidate shared charging area as the second shared charging area set.

[0074] Among them, the preset error angle represents a predefined angle used to measure whether the angle deviation between the charging path of the candidate shared charging area and the original moving path is within an acceptable range, ensuring that the selected shared charging area will not cause excessive direction deviation; the second shared charging area set includes all shared charging areas with a smaller deviation angle from the original moving path.

[0075] A3. Determine an overlapping shared charging area based on the first shared charging area set and the second shared charging area set, and determine the overlapping shared charging area as a transit shared charging area.

[0076] Among them, the overlapping shared charging area refers to a shared charging area that meets the conditions of the first shared charging area set and the second shared charging area set at the same time; the en route shared charging area refers to a shared charging area located on the original moving path of the electric vehicle from the current position of the vehicle to the riding end position, or very close to the original moving path, and the deviation between the shared charging area and the original driving direction of the electric vehicle is very small, so it can be used as a shared charging station passed by on the way without significantly increasing the driving distance or time.

[0077] It should be noted that the shared charging area is equivalent to a shared charging station that the electric vehicle passes by "on the way" on the original route. By choosing the shared charging area as the target shared charging area, the electric vehicle does not need to make an extra detour, which can save time and electricity, while ensuring that the electric vehicle can continue to reach the destination as planned.

[0078] A4. Determine a route distance based on the real-time position of the vehicle and the shared charging area along the route, compare the route distance with the current constant speed endurance, and when the route distance is less than or equal to the current constant speed endurance, determine that the shared charging area along the route is the target shared charging area.

[0079] The route distance represents the distance from the real-time position of the vehicle to the center position of the shared charging area along the route.

[0080] It should be noted that when the route distance is less than or equal to the current constant speed endurance, it means that the electric vehicle can successfully reach the shared charging area along the route under the existing power conditions.

[0081] In the embodiment, it is first determined whether the shared charging area is a shared charging station on the way. If so and the power is sufficient to reach it, it is directly determined as the target shared charging station, which minimizes deviation and ensures that the electric vehicle does not detour as much as possible, and keeps consistent with the original route, thereby improving the travel efficiency. In this case, the shared charging station is almost "passing by", so driving time and power will not be wasted, which can ensure a smoother and more efficient driving process. If the shared charging station on the way is feasible (that is, the power is sufficient to reach and the station location is suitable), the shared charging station on the way is directly selected as the target shared charging station, avoiding complex multi-factor evaluation, simplifying the decision-making process, and saving computing resources and decision-making time. If there is no shared charging station on the way, or the power is insufficient to reach the shared charging station on the way, the system will comprehensively evaluate each candidate shared charging area based on the offset angle, offset distance, and endurance requirement distance, and select the minimum evaluation value based on the multiple evaluation values ​​obtained, and determine the shared charging area corresponding to the minimum evaluation value as the target shared charging area. The logical core of this preset decision-making strategy is to minimize unnecessary detours and deviations, so that electric vehicles can complete the charging process with minimal energy consumption based on the current power, which helps to reduce unnecessary power loss and improve charging efficiency.

[0082] S3. Perform path planning according to the real-time position of the vehicle and the target shared charging area, generate a travel path, and send the travel path to the user end, wherein the travel path includes a walking segment and a riding segment.

[0083] Among them, the walking path represents the complete route from the current real-time location of the electric vehicle to the target shared charging area; the walking segment represents a section of the route where the user needs to get off the electric vehicle and push the vehicle to walk; and the riding segment represents the part of the route where the user can continue to ride the electric vehicle.

[0084] It should be noted that obtaining the travel path and sending it to the user side can ensure that the user can smoothly reach the target shared charging area for charging according to the planned travel path. Especially when the battery is low, by planning detailed walking and riding segments, clear navigation guidance can be provided to the user.

[0085] In some embodiments, step S3 (planning a path according to the real-time location of the vehicle and the target shared charging area, generating a travel path, and sending the travel path to the user end, wherein the travel path includes a walking segment and a riding segment) specifically includes steps S31-S36:

[0086] S31. Obtain the riding entrance position of the target shared charging area, perform path planning based on the real-time position of the vehicle and the riding entrance positions, and generate multiple candidate paths.

[0087] Among them, the riding entrance location represents the designated entrance around the target shared charging area where users can enter through electric vehicles. The target shared charging area may have multiple entrances; the candidate path represents multiple potential paths generated according to the real-time location of the electric vehicle and the riding entrance locations of the target shared charging area.

[0088] Specifically, the location of each riding entrance can be obtained based on the layout information of the target shared charging area. The system needs to perform path planning according to the current real-time position of the electric vehicle and the location of each riding entrance. Each riding entrance location may correspond to one or more different paths, so multiple candidate paths can be generated for selection.

[0089] It should be noted that the system usually combines map data, road information, etc. for route planning. Through multi-entry route planning, it can provide users with more flexible choices and ensure that the subsequent selected route is the most ideal.

[0090] S32: Compare the riding distances corresponding to the candidate paths to obtain the shortest riding distance, and determine the candidate path corresponding to the shortest riding distance as the planned path.

[0091] The shortest riding distance indicates the total distance corresponding to the path with the shortest riding distance among all candidate paths; and the planned path indicates the best route selected based on comprehensive factors such as candidate paths and riding distances.

[0092] It should be noted that obtaining a planned path (i.e., a path with the shortest riding distance) from various candidate paths can optimize the user's riding experience and ensure that the target shared charging area is reached with the shortest riding distance.

[0093] S33, identifying the planned path, acquiring terrain features of the road section, segmenting the planned path based on the terrain features of the road section, and acquiring a first partitioned road section, wherein the first partitioned road section includes an upward section, a straight section, and a downward section.

[0094] Among them, the road section terrain characteristics represent the terrain characteristics of each section of the planned path, such as slope (uphill, downhill) or straightness; the first partitioned section represents the different sections of the planned path after terrain division; the upward section represents the section with a slope and tends to climb upward in the path planning; the straight section represents the part of the path with relatively flat terrain and no obvious slope; the downward section represents the part of the path that is inclined downward.

[0095] Specifically, the terrain characteristics of the road section can be obtained through tools such as digital elevation model (DEM), map data, geographic information system (GIS), and then the planned path is segmented according to the terrain characteristics of the road section.

[0096] S34: Determine that the path movement attributes of the upward segment and the downward segment are cycling attributes, and mark each first partitioned road segment corresponding to the cycling attribute as a cycling segment in the planned path.

[0097] The path movement attribute represents the system's marking of driving strategies for different parts of the path; and the cycling attribute represents the attribute label used by the system to mark a road section as suitable for cycling.

[0098] It should be noted that driving in uphill sections requires overcoming gravity. If the user gets off the vehicle and pushes it, he or she will face significant physical exertion and fatigue, so additional power support is needed. Downhill sections can use gravity to save power. Electric vehicles naturally gain downward momentum when going downhill and do not require additional power support. Therefore, the path movement attributes of both the uphill and downhill sections can be set as riding attributes. There may be multiple first partition sections corresponding to the riding attributes, all of which are marked as riding sections.

[0099] S35: Determine that the path movement attribute of the straight section is a walking attribute, and mark each first partitioned road section corresponding to the walking attribute as a walking segment in the planned path.

[0100] The walking attribute represents an attribute label that the system marks as a road section suitable for walking (strolling a cart).

[0101] It should be noted that the terrain of the straight section does not have a significant slope change. Compared with the uphill section, the ground is flat, so when the user pushes the electric vehicle, there is no need to overcome additional gravity, and the pushing difficulty is relatively low. When the electric vehicle is low on power, the user can get off the vehicle and push it in this section to effectively save power. Therefore, the path movement attribute of the straight section can be set to the walking attribute. There may be multiple first partition sections corresponding to the walking attribute, all of which are marked as walking sections.

[0102] S36: Determine the marked planned path as the travel path, and send the travel path to the user terminal.

[0103] Specifically, the marked planned path includes a riding segment and a walking segment, which is determined as a walking path and sent to the user end. When the electric vehicle is low on power, the user can view the walking path on the user end, ride according to the riding segment in the walking path, and get off and push the vehicle according to the walking segment in the walking path, thereby effectively saving the power of the electric vehicle.

[0104] In an embodiment, when the power of an electric vehicle is insufficient to support riding directly from the current location of the vehicle to a target shared charging area, the user may need to combine walking and riding to reach the target shared charging area. In this case, the planned walking and riding segments can help the user arrange the itinerary reasonably with limited power. For example, the system may plan a walking route to reserve power for subsequent riding segments, thereby maximizing the available mileage of riding and providing users with an efficient riding path.

[0105] In some embodiments, the method further comprises steps B1-B3:

[0106] B1. Identify the planned path, obtain road friction characteristics, segment the planned path based on the road friction characteristics, and obtain second partitioned sections, where the second partitioned sections include a rough section and a smooth section.

[0107] Among them, the road surface friction characteristics represent the surface friction of different sections on the path; the second partitioned sections represent the result of segmenting the path based on different road surface friction characteristics; the rough section represents the part of the path with greater road surface friction, such as mud and gravel roads; the smooth section represents the part of the path with less friction, such as asphalt roads.

[0108] Specifically, the road friction characteristics can be obtained through tools such as map data and geographic information system (GIS), and then the planned path is segmented according to the road friction characteristics.

[0109] It should be noted that the road surface friction characteristics represent the impact of the road surface material on the friction resistance of electric vehicles or pedestrians, which can affect the selection of subsequent driving strategies.

[0110] B2. Determine that the path movement attribute of the rough section is a cycling attribute, and mark each second partitioned road section corresponding to the cycling attribute as a cycling section in the planned path.

[0111] It should be noted that the ground friction in the rough section is large and the road surface is uneven, which increases the friction resistance between the tire and the ground. If the user gets off the vehicle and pushes it, he needs to overcome great resistance and consumes a lot of physical energy. Therefore, the path movement attribute of the rough section can be set to the cycling attribute. There may be multiple second partition sections corresponding to the cycling attribute, all of which are marked as cycling sections.

[0112] B3. Determine that the path movement attribute of the smooth section is a walking attribute, and mark each second partition road section corresponding to the walking attribute as a walking segment in the planned path.

[0113] It should be noted that the ground friction in the smooth section is small, and the frictional resistance between the tires and the ground is not large. If the user gets off the vehicle and pushes it, there is no need to overcome much resistance, and the physical energy consumption is small. Therefore, the path movement attribute of the smooth section can be set to a walking attribute. There may be multiple sections of the second partition road corresponding to the walking attribute, all of which are marked as walking sections.

[0114] S4. When the electric vehicle moves to the target shared charging area based on the travel path, vehicle type information is obtained, a suitable charging pile is determined according to the vehicle type information, and an indication signal is generated to guide the user to move the electric vehicle to a designated charging position.

[0115] Among them, the vehicle model information includes vehicle type information obtained by photographing and identifying the electric vehicle and based on the appearance characteristics of the electric vehicle, including but not limited to the brand, model, charging interface type, etc. of the electric vehicle; the compatible charging pile represents a charging device that matches the charging interface, power and other characteristics of the electric vehicle, and can provide charging services for the electric vehicle; the indication signal represents a guidance signal provided by the system to the user, prompting the user how to correctly park the electric vehicle at a designated location around the compatible charging pile; the user represents a person who uses the electric vehicle and needs charging services, and may be the owner of the electric vehicle; the designated charging location represents a specific charging area where the system guides the electric vehicle to park, ensuring that the electric vehicle can be aligned with the compatible charging pile and charged smoothly.

[0116] Specifically, the user receives the instruction signal through the terminal device and moves the vehicle to the designated charging location according to the prompt.

[0117] It should be noted that obtaining the model information of the electric vehicle and determining the compatible charging pile based on the model information can ensure that the interface of the electric vehicle matches the shared charging pile, preventing charging failure or equipment damage caused by device mismatch. Generating an indication signal based on the compatible charging pile can guide the user to park the electric vehicle correctly at a designated location next to the compatible charging pile, reducing the time and energy consumed by the user to manually find the compatible charging pile and adjust the location.

[0118] In some embodiments, step S4 (identifying that when the electric vehicle moves to the target shared charging area based on the travel path, acquiring vehicle model information, determining a suitable charging pile according to the vehicle model information, and generating an indication signal) specifically includes steps S41-S45:

[0119] S41. Obtain boundary positioning data of the target shared charging area, and construct a geo-fence based on the boundary positioning data.

[0120] Among them, the boundary positioning data is geographic information data that defines the scope of the target shared charging area; the geographic fence represents a virtual area constructed based on the boundary positioning data, which is used to monitor whether electric vehicles enter the target shared charging area. The virtual boundary of the geographic fence can be set according to the physical location, size and layout of the target shared charging area.

[0121] S42: Acquire the current travel position of the electric vehicle, and when the current travel position is the same as the edge position of the geographic fence, determine that the electric vehicle moves to the target shared charging area based on the travel path, and trigger a vehicle model acquisition request.

[0122] Among them, the current moving position represents the real-time position information of the electric vehicle during movement, which is used to determine whether the vehicle is close to the geographic fence; the edge position represents the boundary of the geographic fence. When the vehicle reaches this position, the system will trigger a vehicle model identification request and prepare to obtain detailed information about the vehicle; the vehicle model acquisition request is a signal sent by the system, which is used to trigger the shooting device to capture vehicle information and identify the vehicle model.

[0123] See also Figure 3 , Figure 3 is a schematic diagram of a geo-fence provided by an embodiment of the present invention. A user rides an electric vehicle to point F, which is an edge position of the geo-fence. Therefore, it can be determined that the electric vehicle has moved to the target shared charging area based on the travel path, and a request for obtaining the model of the electric vehicle can be triggered.

[0124] S43: calling a photographing device according to the vehicle model acquisition request, photographing the electric vehicle based on the photographing device, and acquiring a vehicle model identification image.

[0125] Among them, the shooting device refers to a device that captures images of electric vehicles, helping the system to obtain vehicle model information through visual recognition; the vehicle model identification map refers to the image of the electric vehicle taken by the shooting device.

[0126] S44, detecting the vehicle model identification image to obtain vehicle model features, traversing the vehicle model database based on the vehicle model features to obtain the vehicle model information.

[0127] Among them, the vehicle model features are key appearance features extracted from the vehicle model identification map, which are used to classify and identify electric vehicles, including but not limited to the appearance, size, interface, etc. of electric vehicles; the vehicle model database represents a database that stores information of different vehicle models, which is used for system comparison and identification of vehicle models and related information.

[0128] Specifically, the vehicle model information may be identified through image processing technology, which is well known to those skilled in the art and will not be described in detail in the present invention.

[0129] S45. Match the electric vehicle with each preset charging pile in the target shared charging area according to the vehicle model information, determine the compatible charging pile and obtain matching data, and generate a prompt signal according to the matching data.

[0130] Among them, the preset charging pile indicates that the preset charging pile is a shared charging pile that has been set up in the charging area, and the specifications, power and interface type of each shared charging pile are pre-defined; the matching data represents relevant information about the matching situation between the electric vehicle and the shared charging pile, and the generated prompt signal can be used to guide the user to park the electric vehicle at a designated location around the compatible shared charging pile.

[0131] Specifically, information such as the specifications, power, and interface type of each preset charging pile in the charging area is obtained, the vehicle model information of the electric vehicle is compared with the preset information of each preset charging pile, the shared charging pile suitable for the vehicle model is determined to be the adapted charging pile, the matching data is obtained, and then a prompt signal to guide the user is generated based on the matching data.

[0132] It should be noted that generating a prompt signal can guide users to park their electric vehicles accurately next to a compatible charging pile, ensure that the charging interface is correctly docked, avoid safety problems caused by incorrect connection, and reduce the time and energy spent by users in finding a compatible charging pile on their own.

[0133] In some embodiments, the prompt signal includes a terminal prompt signal and a frame prompt signal, and step S45 (determining the matching charging pile and obtaining matching data, and generating a prompt signal according to the matching data) specifically includes steps S451 to S455:

[0134] S451, determining a compatible charging pile corresponding to the electric vehicle, and obtaining matching data between the compatible charging pile and the electric vehicle, wherein the matching data includes matching color and frame position.

[0135] Among them, the matching color is the color used by the system as a prompt signal, which is used to mark the compatible charging pile for easy user identification; the frame position indicates the specific geographical location of the compatible charging pile.

[0136] It should be noted that the system assigns a specific color mark to the match between the electric vehicle and the compatible charging pile. The matching color is usually used to distinguish between compatible and incompatible shared charging piles. For example, the matching color between the electric vehicle and the compatible charging pile is blue. The position of the frame indicates the specific geographical location of the compatible charging pile, which can provide basic data for subsequent route planning.

[0137] S452: Perform path planning within the geographic fence according to the current traveling position and the frame position to generate a charging pilot path.

[0138] The charging pilot path guides the user to drive from the current location to the path of the adapted charging pile, ensuring that the user can accurately find the correct charging pile location.

[0139] Specifically, a path planning algorithm, such as the Dijkstra algorithm, may be used to calculate the best path from the current travel position to the frame position within the geographic fence, and the best path may be determined as the charging pilot path, which may be sent to the user end for the user to view.

[0140] It should be noted that geo-fences are used to limit path planning to a specific area to ensure the accuracy of the charging pilot path. Obtaining the charging pilot path can provide a clear route from the current location to a suitable charging pile, reducing the user's time and energy in searching for a suitable charging pile in the charging area and improving the overall efficiency of the charging process.

[0141] S453, calling the pile body model of the adapted charging pile, configuring the color of the pile body model according to the matching color, generating an indication model, and generating an indication space in the charging pilot path based on the indication model and the frame position.

[0142] Among them, the pile model represents a virtual model of the charging pile, which is used to visually guide the parking of the electric vehicle; the shown indication model represents a virtual or digital representation of the charging pile, which is color-configured to show its status or matching status, and can be used to visualize the position of the adapted charging pile in the user terminal interface, and provide information about the status and adaptation status of the adapted charging pile; the color configuration is the color identification set by the system for the adapted charging pile; the shown indication space represents a virtual area generated in the charging pilot path according to the indication model and the actual position of the charging pile. The indication space represents the specific location of the adapted charging pile, and can provide users with clear parking position guidance.

[0143] Specifically, the virtual model of the charging pile is extracted, and the color of the pile model is adjusted according to the matching color of the electric vehicle and the adapted charging pile time. For example, if the matching color is blue, the pile model is adjusted to blue, and a visual indication model is generated and displayed on the visual interface in the charging pilot path to help users identify the location and status of the adapted charging pile.

[0144] S454: Generate a terminal prompt signal based on the indicated space and the charging pilot path, and send the terminal prompt signal to the user terminal.

[0145] Among them, the terminal prompt signal is the location prompt information sent by the system to the user terminal device (such as a mobile phone, tablet computer), including but not limited to a visual display interface including a charging guide path and an indication space, which can be displayed on the user side to help the user find a suitable charging pile.

[0146] S455: configure the color of the signal light corresponding to the adapted charging pile according to the matching color, and generate a frame prompt signal to guide the user to move the electric vehicle to a designated charging position.

[0147] Among them, the signal light can be an LED light adapted to the charging pile, used to guide the user or display the charging status; the frame prompt signal represents a visual signal provided by the system to the user, which prompts the user to correctly park the electric vehicle at the designated location for charging through information such as color and position.

[0148] S5. Receive charging selection information, obtain charging charges according to the charging selection information, respond to the user's confirmation instruction on the charging charges, and start the charging process.

[0149] Among them, the charging selection information represents the selection provided by the user when preparing to start charging; the charging fee represents the fee that the user needs to pay when charging; the confirmation instruction represents the confirmation information sent by the user after viewing the charging fee, indicating that the user agrees with the current fee and starts the charging process.

[0150] Specifically, after the user moves the electric vehicle to the designated charging location, the user physically connects the electric vehicle to the compatible charging pile for charging. When the connection is successful, the user can select the charging type for the electric vehicle through the user terminal. The system determines the charging fee based on the selection result and sends an instruction to confirm the fee to the user terminal. Upon receiving the user terminal's confirmation instruction for the charging fee, the charging process is immediately started to charge the electric vehicle.

[0151] It should be noted that obtaining charging selection information can help understand the user's charging needs and preferences, provide corresponding charging services, and meet the user's personalized charging needs.

[0152] In some embodiments, step S5 (receiving charging selection information, and obtaining charging charges according to the charging selection information) specifically includes steps S51-S54:

[0153] S51, detecting the connection state between the electric vehicle and the adapted charging pile, and when the connection state is a connected state, receiving charging selection information sent by a user end, wherein the charging selection information includes a charging speed type and a charging distance type.

[0154] Among them, the connection status indicates the physical connection between the electric vehicle and the charging pile, including connected or disconnected status; the charging speed type indicates the charging speed method selected by the user, usually including normal charging and fast charging; the charging distance type defines the relationship between the electric vehicle and the destination or charging completion status during charging, including "destination-based charging" and "fully charged".

[0155] S52: Call the pre-designed charging rule to obtain the benchmark electricity price, and determine the charging factor according to the charging speed type, where the charging factor includes a normal factor and a fast charging factor.

[0156] Among them, the pre-designed charging rules represent a set of rules for calculating charging fees pre-set in the system; the benchmark electricity price represents the standard or basic price per unit of electricity, such as the benchmark electricity price is 1 yuan / kWh; the charging speed type represents the charging speed type selected by the user, which may be normal charging or fast charging; the tariff coefficient represents a multiplier (adjustment coefficient) for adjusting the benchmark electricity price according to specific factors; the normal coefficient represents the corresponding adjustment coefficient when the user selects the normal charging speed, such as setting the normal coefficient to 1; the fast charging coefficient represents the corresponding adjustment coefficient when the user selects fast charging, such as setting the fast charging coefficient to 1.2.

[0157] It should be noted that ordinary charging and fast charging correspond to different tariff coefficients. Generally, the tariff coefficient of fast charging is higher than that of ordinary charging.

[0158] S53. Obtain charging power according to the charging distance type, where the charging power includes a target charging power and a fully charged charging power.

[0159] Among them, the charging capacity represents the total amount of electricity required for one charge; the target charging capacity includes the capacity that just supports the electric vehicle to reach the riding end position (destination) from the designated charging location, that is, the capacity corresponding to "destination-based charging"; the full charge capacity represents the capacity required to charge the battery to 100%, that is, the capacity corresponding to "full charge".

[0160] S54: Determine the charging tariff by multiplying the base electricity price, the tariff coefficient and the charging power.

[0161] For example: If Wang Wei moves the electric vehicle to the designated charging location and successfully connects the electric vehicle to the compatible charging pile, the charging distance type selected through his user end is "destination-based charging", and the corresponding target charging power is 1.5 kWh. The selected charging speed type is fast charging, the fast charging coefficient is 1.2, and the base electricity price is 1 yuan / kWh, then the charging fee is 1×1.2×1.5=1.8 (yuan).

[0162] By setting flexible billing standards, customized charging services can be provided according to the user's charging needs (such as charging speed and charging amount), which can meet the user's personalized charging needs and improve the overall charging experience.

[0163] In this embodiment, a charging control strategy for an electric vehicle integrating path planning and a target charging area is proposed, and the method includes: responding to a binding request of a user terminal to an electric vehicle, binding a corresponding account of the user terminal to the electric vehicle, and obtaining vehicle status information, wherein the vehicle status information includes the current constant speed endurance; obtaining the real-time position of the vehicle and the riding end position, calling a preset decision strategy to determine a target shared charging area within a preset search range; performing path planning according to the real-time position of the vehicle and the target shared charging area, generating a travel path, and sending the travel path to the user terminal, wherein the travel path includes a walking segment and a riding segment; when identifying that the electric vehicle moves to the target shared charging area based on the travel path, obtaining vehicle model information, determining an adapted charging pile according to the vehicle model information, and generating an indication signal to guide the user to move the electric vehicle to a designated charging position; receiving charging selection information, obtaining a charging fee according to the charging selection information, responding to a confirmation instruction of the user terminal on the charging fee, and starting a charging process. The present invention reduces the user's time and energy consumption by automatically matching a suitable shared charging area for an electric vehicle that is low on power during riding and determining a shared charging pile compatible with the electric vehicle in the area, and meets the user's personalized charging needs by setting flexible charging billing standards.

[0164] Through the description of the above embodiments, it can be clearly understood by those skilled in the art that each embodiment can be implemented by means of software plus a general hardware platform, or by hardware. It can be understood by those skilled in the art that all or part of the processes in the above embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0165] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Under the concept of the present invention, the technical features in the above embodiments or different embodiments may also be combined, the steps may be implemented in any order, and there are many other changes in different aspects of the present invention as described above, which are not provided in detail for the sake of simplicity. Although the present invention has been described in detail with reference to the aforementioned embodiments, a person of ordinary skill in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.

Claims

1. An electric vehicle charging control strategy integrating path planning and target charging area, characterized in that: The strategies include: In response to the user's request for binding the electric vehicle, the user's corresponding account is bound to the electric vehicle, and the vehicle status information is obtained, wherein the vehicle status information includes the current constant speed endurance; Obtain the real-time location of the vehicle and the location of the end point of the ride, and call the preset decision-making strategy to determine the target shared charging area within the preset search range; Performing path planning according to the real-time location of the vehicle and the target shared charging area, generating a travel path, and sending the travel path to the user end; When the electric vehicle moves to the target shared charging area based on the travel path, the vehicle model information is obtained, a suitable charging pile is determined according to the vehicle model information, and an indication signal is generated to guide the user to move the electric vehicle to a designated charging position for charging; Get the real-time location of the vehicle and the location of the end point of the ride, and call the preset decision strategy to determine the target shared charging area within the preset search range, including: Obtaining the GPS positioning coordinates of the electric vehicle, and determining the GPS positioning coordinates as the real-time vehicle position of the electric vehicle; Receiving the riding end point position sent by the user terminal, determining the original moving path according to the real-time position of the vehicle and the riding end point position, and determining the distance corresponding to the original moving path as the target travel distance; Comparing the target travel distance with the current constant speed cruising range, and when the target travel distance is greater than the current constant speed cruising range, calling a preset decision strategy to obtain a candidate shared charging area within the preset search range; Acquire the center position of the candidate shared charging area, calculate the shortest vertical distance from the center position to the original moving path, and determine the shortest vertical distance as the yaw distance of the candidate shared charging area; Determine a charging path based on the real-time position of the vehicle and the center position, and determine an angle between the original moving path and the charging path as a yaw angle of the candidate shared charging area; Obtaining a required endurance distance of the candidate shared charging zone, where the required endurance distance represents a distance that the electric vehicle needs to travel from the candidate shared charging zone to the riding end point; Calculate the evaluation value corresponding to each candidate shared charging area based on the yaw distance, the yaw angle and the required endurance distance, and determine the target shared charging area according to each evaluation value; Calculating the evaluation value corresponding to each candidate shared charging area based on the yaw distance, the yaw angle, and the required endurance distance includes: The evaluation value is calculated by the following formula: ; in, is the evaluation value of the pth candidate shared charging zone, is the yaw distance of the pth candidate shared charging area, is the yaw angle of the pth candidate shared charging zone, is the required driving distance of the pth candidate shared charging area, is the normalized value of the yaw distance, is the normalized value of the yaw angle, is the normalized value of the required distance, is the yaw distance weight value, is the yaw angle weight value, is the required distance weight value; The strategy further includes calculating evaluation values ​​corresponding to each candidate shared charging area based on the yaw distance, the yaw angle, and the required endurance distance, and determining a target shared charging area according to each evaluation value: Compare each yaw distance with a preset error distance, and when the yaw distance is less than the preset error distance, determine the corresponding candidate shared charging area as a first shared charging area set; Compare each yaw angle with a preset error angle, and when the yaw angle is less than the preset error angle, determine the corresponding candidate shared charging area as the second shared charging area set; Determine an overlapping shared charging area based on the first shared charging area set and the second shared charging area set, and determine the overlapping shared charging area as a passing shared charging area; Determine a route distance based on the real-time position of the vehicle and the route shared charging area, compare the route distance with the current constant speed cruising range, and determine the route shared charging area as the target shared charging area when the route distance is less than or equal to the current constant speed cruising range; Performing path planning according to the real-time location of the vehicle and the target shared charging area, generating a travel path, and sending the travel path to the user end, including: Obtaining the riding entrance position of the target shared charging area, performing path planning based on the real-time position of the vehicle and the riding entrance positions, and generating multiple candidate paths; Compare the riding distances corresponding to the candidate paths to obtain the shortest riding distance, and determine the candidate path corresponding to the shortest riding distance as the planned path; Identify the planned path, obtain road section terrain features, segment the planned path based on the road section terrain features, and obtain a first subdivided road section, wherein the first subdivided road section includes an upward section, a straight section, and a downward section; Determining that the path movement attributes of the upward segment and the downward segment are cycling attributes, and marking each first sub-area road segment corresponding to the cycling attribute as a cycling segment in the planned path; Determining that the path movement attribute of the straight section is a walking attribute, and marking each first partitioned road section corresponding to the walking attribute as a walking segment in the planned path; The marked planned path is determined as a travel path, and the travel path is sent to a user terminal.

2. The electric vehicle charging control strategy integrating path planning and target charging area according to claim 1 is characterized in that: The strategy also includes: Identify the planned path, obtain road friction characteristics, segment the planned path based on the road friction characteristics, and obtain second segmented sections, where the second segmented sections include a rough section and a smooth section; Determining that the path movement attribute of the rough section is a cycling attribute, and marking each second partitioned road section corresponding to the cycling attribute as a cycling section in the planned path; The path movement attribute of the smooth section is determined to be a walking attribute, and each second partition road section corresponding to the walking attribute is marked as a walking segment in the planned path.

3. The electric vehicle charging control strategy integrating path planning and target charging area according to claim 1 is characterized in that: When the electric vehicle moves to the target shared charging area based on the travel path, the vehicle type information is obtained, a suitable charging pile is determined according to the vehicle type information, and an indication signal is generated, including: Acquire boundary positioning data of the target shared charging area, and construct a geo-fence based on the boundary positioning data; Acquire the current travel position of the electric vehicle, and when the current travel position is the same as the edge position of the geo-fence, determine that the electric vehicle moves to the target shared charging area based on the travel path, and trigger a vehicle model acquisition request; Invoking a photographing device according to the vehicle model acquisition request, photographing the electric vehicle based on the photographing device, and acquiring a vehicle model identification image; Detecting the vehicle model identification image to obtain vehicle model features, traversing the vehicle model database based on the vehicle model features to obtain the vehicle model information; The electric vehicle is matched with each preset charging pile in the target shared charging area according to the vehicle model information, the compatible charging pile is determined and matching data is obtained, and a prompt signal is generated according to the matching data.

4. The electric vehicle charging control strategy integrating path planning and target charging area according to claim 3 is characterized in that: The prompt signal includes a terminal prompt signal and a frame prompt signal; Determining a compatible charging pile and obtaining matching data, and generating a prompt signal according to the matching data, including: Determine a compatible charging pile corresponding to the electric vehicle, and obtain matching data between the compatible charging pile and the electric vehicle, wherein the matching data includes matching color and frame position; Performing path planning within the geographic fence according to the current travel position and the frame position to generate a charging pilot path; Calling the pile body model of the adapted charging pile, configuring the color of the pile body model according to the matching color, generating an indication model, and generating an indication space in the charging pilot path based on the indication model and the frame position; generating a terminal prompt signal based on the indicated space and the charging pilot path, and sending the terminal prompt signal to a user terminal; The signal light corresponding to the adapted charging pile is configured in color according to the matching color, and a frame prompt signal is generated to guide the user to move the electric vehicle to a designated charging position.

5. The electric vehicle charging control strategy integrating path planning and target charging area according to claim 1 is characterized in that: The method further includes receiving charging selection information, obtaining charging charges according to the charging selection information, responding to a confirmation instruction of the user terminal to the charging charges, and starting a charging process; Receiving charging selection information, and obtaining charging charges according to the charging selection information, including: Detecting the connection state between the electric vehicle and the adapted charging pile, and when the connection state is a connected state, receiving charging selection information sent by a user end, wherein the charging selection information includes a charging speed type and a charging distance type; Calling the pre-designed charging rule to obtain the base electricity price, and determining the charging factor according to the charging speed type, wherein the charging factor includes a normal factor and a fast charging factor; Acquire charging power according to the charging distance type, where the charging power includes target charging power and full charging power; The charging tariff is determined by multiplying the base electricity price, the tariff coefficient and the charging power.

Images