Energy sharing scheduling method, charging method, vehicle and server

By adopting the energy sharing scheduling method in electric vehicles, the problem of difficulty in charging when driving in high-speed or remote areas is solved, and low-cost energy sharing and efficient matching speed are achieved.

CN119953225AActive Publication Date: 2025-05-09CHONGQING CHANGAN AUTOMOBILE CO LTD
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Patent Information

Application Number
CN202311493986.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-11-09
Publication Date
2025-05-09
Estimated Expiration
2043-11-09

AI Technical Summary

Technical Problem

In the prior art, when an electric aircraft is driving at a high speed or remote area, there is a problem of difficulty in charging due to being far away from the charging pile or not being found.

Method used

It provides an energy sharing scheduling method, by receiving charging requests from charging vehicles, reading information in the power supply vehicle database, determining charging costs and power supply profits, and selecting target power supply vehicles to control energy sharing between charging vehicles and target power supply vehicles.

Benefits of technology

It realizes finding power supply vehicles for charging vehicles at low charging costs, while ensuring that power supply vehicles obtain power supply profits, and improving the matching speed and energy sharing efficiency of charging vehicles and power supply vehicles.

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Abstract

The invention discloses an energy sharing scheduling method, a charging method, a vehicle and a server. The method comprises the following steps: receiving a charging request for charging the vehicle; reading power supply vehicle information in a power supply vehicle library, and determining the charging cost of the charging vehicle relative to each power supply vehicle and the power supply profit of each power supply vehicle relative to the charging vehicle based on the charging vehicle information and each power supply vehicle information, determining a target power supply vehicle based on all the determined charging costs and all the determined power supply profits; and energy sharing is carried out between the charging vehicle and the target power supply vehicle. According to the embodiment of the invention, the charging vehicle can find the power supply vehicle under the low charging cost, the power supply vehicle can obtain the power supply profit, the matching speed of the charging vehicle and the power supply vehicle can be improved, and the energy sharing efficiency is improved.
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Description

Technical Field

[0001] The present application relates to the field of energy sharing technology for intelligent connected vehicles, and in particular to an energy sharing scheduling method, a charging method, a vehicle and a server. Background Art

[0002] With the acceleration of urbanization and the continuous growth of transportation demand, urban traffic congestion is getting worse, which makes people focus on electric aircraft. As an emerging mode of transportation, electric aircraft have the advantages of being fast and convenient, but they also have the problem of high energy consumption, which will inevitably make the problem of difficulty in charging electric vehicles more prominent. Although charging piles have been included in the new infrastructure and become the focus of national infrastructure construction, in fact, during the use of electric aircraft, especially when driving on highways or in remote areas, there should be problems with charging difficulties due to reasons such as being far away from the charging pile or not finding the charging pile. Summary of the invention

[0003] The main purpose of this application is to provide an energy sharing scheduling method, a charging method, a vehicle and a service end, aiming to solve the problem of difficulty in charging electric vehicles in the prior art.

[0004] The first aspect of the present application provides an energy sharing scheduling method, the method comprising:

[0005] receiving a charging request from a charging vehicle, wherein the charging request carries charging vehicle information of the charging vehicle itself;

[0006] Reading the power supply vehicle information in the power supply vehicle library, and determining the charging cost of the charging vehicle relative to each power supply vehicle, and the power supply profit of each power supply vehicle relative to the charging vehicle based on the charging vehicle information and each power supply vehicle information;

[0007] Based on all determined charging costs and all determined power supply profits, selecting a target power supply vehicle corresponding to the charging vehicle from the power supply vehicle library;

[0008] The charging scheduling information is sent to the charging vehicle, and the power supply scheduling information is sent to the target power supply vehicle, so that energy is shared between the charging vehicle and the target power supply vehicle.

[0009] According to the above-mentioned technical means, after receiving a charging request, the embodiment of the present application selects a target power supply vehicle from the power supply vehicle set based on the charging cost and power supply profit, and controls the energy sharing between the charging vehicle and the target power supply vehicle. In this way, based on the charging cost and power supply profit, the charging vehicle can find a power supply vehicle at a low charging cost, and at the same time, it can also ensure that the power supply vehicle can obtain the power supply profit, thereby improving the matching speed of the charging vehicle and the power supply vehicle and improving the energy sharing efficiency.

[0010] Optionally, the charging vehicle information includes the location of the charging vehicle, the amount of energy required, and the charging travel speed, and the power supply vehicle information includes the location of the power supply vehicle, the amount of energy supplied, and the power supply travel speed; the determining the charging cost of the charging vehicle relative to each power supply vehicle, and the power supply profit of each power supply vehicle relative to the charging vehicle based on the charging vehicle information and each power supply vehicle information specifically includes:

[0011] Determine the meeting address corresponding to each power supply vehicle according to the location of the charging vehicle and the locations of each power supply vehicle, and determine the target energy amount corresponding to each power supply vehicle based on the required energy amount and each supplied energy amount;

[0012] Determining the charging cost of the charging vehicle relative to each power supply vehicle based on the merging address, the target energy amount corresponding to each power supply vehicle, and the charging driving speed;

[0013] The power supply cost corresponding to each power supply vehicle is determined based on the merging address, the target energy amount corresponding to each power supply vehicle, and the power supply travel speed of each power supply vehicle, and the power supply profit is determined based on the charging cost and the power supply cost.

[0014] According to the above-mentioned technical means, the embodiment of the present application determines the charging cost according to the merging address, the target energy amount corresponding to each power supply vehicle and the charging driving speed, and determines the power supply profit based on the merging address, the target energy amount corresponding to each power supply vehicle and the charging driving speed of each power supply vehicle, thereby improving the accuracy of the charging cost and the power supply profit.

[0015] Optionally, the charging cost includes the energy acquisition cost of obtaining the supply energy from the power supply vehicle, the charging convergence cost and the charging time cost; the power supply cost includes the original purchase cost of the supply energy, the power supply convergence cost and the power supply time cost.

[0016] According to the above technical means, the embodiments of the present application consider charging costs and power supply profits from multiple aspects, which can improve user satisfaction with energy sharing between target power supply vehicles and charging vehicles determined based on charging costs and power supply profits.

[0017] Optionally, the selecting a target power supply vehicle corresponding to the charging vehicle from the power supply vehicle library based on all determined charging costs and all determined power supply profits specifically includes:

[0018] Construct the objective function based on charging cost and power supply profit;

[0019] Based on all determined charging costs and all determined power supply profits, a target power supply vehicle corresponding to the charging vehicle is selected from the power supply vehicle library by adopting a greedy algorithm of the objective function.

[0020] According to the above-mentioned technical means, the embodiment of the present application adopts a greedy algorithm to select the target power supply vehicle corresponding to the charging vehicle in the power supply vehicle library, which can reduce the charging cost of the charging vehicle and ensure the power supply profit of the power supply vehicle, thereby further improving user satisfaction.

[0021] Optionally, the selecting a target power supply vehicle corresponding to the charging vehicle from the power supply vehicle library by adopting a greedy algorithm of the objective function based on all determined charging costs and all power supply profits specifically includes:

[0022] Constructing an initial supply relationship matrix based on the charging cost and the power supply profit of each power supply vehicle;

[0023] The initial supply relationship matrix is ​​used as the supply relationship matrix, and a target data group is selected from the supply relationship matrix with the goal of minimizing the charging cost and making the power supply profit a positive value;

[0024] adding the target data group to a preset matching set, and deleting the target data group from the supply relationship matrix to update the supply relationship matrix;

[0025] The updated supply relationship matrix is ​​used as the supply relationship matrix, and the step of selecting the target data group from the supply relationship matrix with the initial supply relationship matrix as the supply relationship matrix with the goal of minimizing the charging cost and making the power supply profit a positive value is continued, until the amount of data of the target data group included in the preset matching set reaches a preset amount;

[0026] A target data group is selected from the preset matching set, and the power supply vehicle corresponding to the target data group is used as the target power supply vehicle corresponding to the charging vehicle.

[0027] According to the above technical means, the embodiment of the present application can quickly and accurately select the target power supply vehicle corresponding to the charging vehicle from the power supply vehicle library, thereby improving the matching speed and matching accuracy of energy sharing vehicles.

[0028] Optionally, the generation process of the charging scheduling information specifically includes:

[0029] Obtaining a meeting address of the charging vehicle and the target power supply vehicle;

[0030] Acquiring charging road condition information from the charging vehicle to the merging address, and determining a predicted charging driving speed based on the charging road condition information;

[0031] Charging schedule information is generated based on the merging address, the predicted power supply travel speed, and power supply vehicle information of the target power supply vehicle, and the charging schedule information is sent to the charging vehicle.

[0032] According to the above technical means, the embodiment of the present application can accurately control the charging vehicle, and comprehensively consider the road condition information of the charging vehicle, so that the charging vehicle and the target power supply vehicle can reach the meeting address synchronously, reducing the waiting time between the charging vehicle and the target power supply vehicle.

[0033] Optionally, the process of generating the power supply scheduling information specifically includes:

[0034] Obtaining a meeting address of the charging vehicle and the target power supply vehicle;

[0035] Acquire power supply road condition information from the target power supply vehicle to the merging address; and determine a predicted power supply driving speed based on the power supply road condition information;

[0036] Power supply scheduling information is generated based on the merging address, the predicted power supply travel speed, and the power supply vehicle information of the target power supply vehicle, and the power supply scheduling information is sent to the target power supply vehicle.

[0037] According to the above technical means, the embodiment of the present application can accurately control the target power supply vehicle, and comprehensively consider the road condition information of the target power supply vehicle, so that the charging vehicle and the target power supply vehicle can reach the meeting address synchronously, reducing the waiting time between the charging vehicle and the target power supply vehicle.

[0038] Optionally, the sending of charging scheduling information to the charging vehicle and the sending of power supply scheduling information to the target power supply vehicle so as to enable energy sharing between the charging vehicle and the target power supply vehicle specifically includes:

[0039] Sending power supply scheduling information to the target power supply vehicle so that the target power supply vehicle transmits microwave energy based on the receiving position of the charging vehicle;

[0040] The charging scheduling information is sent to the charging vehicle so that the charging vehicle receives microwave energy based on the sending position of the target power supply vehicle, thereby realizing energy sharing between the charging vehicle and the target power supply vehicle.

[0041] According to the above technical means, the embodiment of the present application controls the charging vehicle and the power supply vehicle and shares energy through microwave energy, thereby ensuring the energy sharing efficiency between the charging vehicle and the target power supply vehicle.

[0042] Optionally, after sending the charging scheduling information to the charging vehicle and sending the power supply scheduling information to the target power supply vehicle so that energy is shared between the charging vehicle and the target power supply vehicle, the method further includes:

[0043] When the charging vehicle and the target power supply vehicle complete energy sharing, receiving the actual amount of energy sent by the charging vehicle, and generating a payment request based on the actual amount of energy;

[0044] The energy sharing fee is shared with the charging vehicle and the target power supply vehicle through blockchain technology to complete the settlement of the energy sharing fee.

[0045] According to the above-mentioned technical means, the embodiments of the present application can ensure the security of payment of energy sharing fees and bring a sense of security to users.

[0046] Optionally, the charging vehicle and the target power supply vehicle are both land vehicles or aircraft.

[0047] According to the above-mentioned technical means, the embodiments of the present application fully consider the energy sharing between land vehicles and land vehicles, land vehicles and aircraft, and aircraft and aircraft, thereby improving the application scope of the energy sharing scheduling method provided by the embodiments of the present application.

[0048] A second aspect of an embodiment of the present application provides a server, including: a first processor and a first memory;

[0049] The first memory stores a computer-readable program executable by the first processor;

[0050] When the first processor executes the computer-readable program, the steps in the energy sharing scheduling method described above are implemented.

[0051] A third aspect of an embodiment of the present application provides a charging method, the method comprising:

[0052] A charging request is formed based on the vehicle information of the charging vehicle itself, and charging scheduling information formed by a server for processing the charging request based on the charging request is received, wherein the charging scheduling information includes power supply vehicle information, and the power supply vehicle information is the vehicle information of a target power supply vehicle corresponding to the charging vehicle selected from the power supply vehicle library based on all determined charging costs and all power supply profits;

[0053] Energy is shared with the target power supply vehicle based on the charging scheduling information, so as to charge the charging vehicle through the target power supply vehicle.

[0054] According to the above-mentioned technical means, when charging is needed, the embodiment of the present application forms a charging request based on its own display information, and selects the vehicle information of the target power supply vehicle corresponding to the charging vehicle in the power supply vehicle library through the server according to all the determined charging costs and all the power supply profits. In this way, the charging vehicle can find the power supply vehicle at a low charging cost, and at the same time, it can also ensure that the power supply vehicle can obtain the power supply profit, thereby improving the matching speed of the charging vehicle and the power supply vehicle and improving the energy sharing efficiency.

[0055] Optionally, before forming a charging request based on the vehicle information of the charging vehicle itself, the method further includes:

[0056] Acquiring remaining power information and auxiliary information of the charging vehicle itself, wherein the auxiliary information is used to reflect the current state of the charging vehicle;

[0057] Determine the time series characteristics of the remaining power information based on the remaining power information and the time series module in the trained travel prediction model;

[0058] Determining a predicted trip corresponding to the remaining power information based on the time series feature, the auxiliary information, and a regression module in the trained trip prediction model;

[0059] When the predicted distance is less than a preset distance threshold, the step of forming a charging request based on the vehicle information of the charging vehicle itself is performed.

[0060] According to the above technical means, the embodiment of the present application can accurately predict the predicted itinerary corresponding to the remaining power information through the trained itinerary prediction model, and can further improve the accuracy of the predicted itinerary by adding auxiliary information, thereby ensuring the rationality of forming a charging request.

[0061] Optionally, the auxiliary information includes one or more of driving speed, environmental information and driver information.

[0062] According to the above technical means, the embodiment of the present application can further improve the accuracy of the predicted itinerary by adopting a variety of auxiliary information.

[0063] Optionally, when the predicted travel distance is less than a preset travel distance threshold, executing the step of forming a charging request based on the vehicle information of the charging vehicle itself specifically includes:

[0064] When the predicted journey is less than a preset journey threshold, query whether there is an available fixed charging device, wherein the distance between the available fixed charging device and the charging vehicle is less than the predicted journey;

[0065] If available fixed charging equipment is found, drive to the fixed charging equipment;

[0066] If no available fixed charging equipment is found, the step of forming a charging request based on the vehicle information of the charging vehicle itself is performed.

[0067] According to the above technical means, the embodiments of the present application can check the fixed charging equipment so that the charging vehicle can be charged in the way with the lowest charging cost, thereby reducing the use cost of the electric vehicle.

[0068] Optionally, the charging scheduling information carries a merging address; before sharing energy with the target power supply vehicle based on the charging scheduling information to charge the charging vehicle through the target power supply vehicle, the method further includes:

[0069] Drive to the meeting point;

[0070] Energy sharing is established with the target power supply vehicle at the merging location, so as to charge the charging vehicle through the target power supply vehicle.

[0071] According to the above technical means, the embodiment of the present application can ensure the success rate of energy sharing between the charging vehicle and the target power supply vehicle by establishing energy sharing with the target power supply vehicle at the merging address.

[0072] Optionally, during the process of the charging vehicle and the target power supply vehicle sharing energy, the method further includes:

[0073] Determine a tracking trajectory corresponding to the target power supply vehicle, and control the target power supply vehicle to travel according to the tracking trajectory, so that the charging vehicle and the target power supply vehicle travel in a coordinated formation.

[0074] According to the above-mentioned technical means, the embodiment of the present application can ensure the success rate of energy sharing between the charging vehicle and the target power supply vehicle by coordinating the charging vehicle and the target power supply vehicle to drive in formation, and can ensure that the power supply vehicle and the target power supply vehicle maintain a certain safety distance, thereby improving the driving safety of the charging vehicle and the target power supply vehicle during the energy sharing process.

[0075] Optionally, the sharing of energy with the target power supply vehicle based on the charging scheduling information so as to charge the charging vehicle through the target power supply vehicle specifically includes:

[0076] Sending charging request information to the target power supply vehicle;

[0077] Receive microwave energy emitted by a target power-supply vehicle based on the charging request information to establish energy sharing with the target power-supply vehicle so as to charge the charging vehicle through the target power-supply vehicle, wherein the target power-supply vehicle emits microwave energy based on a receiving position of the charging vehicle, and the charging vehicle receives microwave energy from the target power-supply vehicle based on a sending position of the target power-supply vehicle.

[0078] According to the above technical means, the embodiment of the present application can ensure that the charging vehicle can receive the microwave energy emitted by the target power supply vehicle by transmitting and receiving microwave energy at the confluence address.

[0079] Optionally, after establishing wireless power supply at the merging address according to the power supply vehicle information and the target power supply vehicle corresponding to the power supply vehicle information, the method further includes:

[0080] When charging is completed, obtaining the actual amount of energy, and sending the actual amount of energy to the server;

[0081] Receive the payment request for the energy sharing fee fed back by the server, and respond to the payment request through blockchain technology to complete the settlement of the energy sharing fee.

[0082] According to the above-mentioned technical means, the embodiments of the present application can ensure the security of payment of energy sharing fees and bring a sense of security to users.

[0083] Optionally, the charging vehicle and the target power supply vehicle are both land vehicles or aircraft.

[0084] According to the above-mentioned technical means, the embodiments of the present application fully consider the energy sharing between land vehicles and land vehicles, land vehicles and aircraft, and aircraft and aircraft, and increase the scope of shared energy that can be obtained by charging vehicles.

[0085] A fourth aspect of the embodiments of the present application provides a vehicle, the vehicle comprising a second processor and a second memory;

[0086] The second memory stores a computer-readable program executable by the second processor;

[0087] When the second processor executes the computer-readable program, the steps in the charging method described above are implemented.

[0088] A fifth aspect of an embodiment of the present application provides a computer-readable storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the energy sharing scheduling method as described above, and / or to implement the steps in the charging method as described above.

[0089] Beneficial effects of this application:

[0090] (1) After receiving a charging request, the embodiment of the present application selects a target power supply vehicle from the power supply vehicle set based on charging cost and power supply profit, and controls energy sharing between the charging vehicle and the target power supply vehicle. In this way, based on charging cost and power supply profit, the charging vehicle can find a power supply vehicle at a low charging cost, and at the same time, it can ensure that the power supply vehicle can obtain the power supply profit, thereby improving the matching speed between the charging vehicle and the power supply vehicle and improving the energy sharing efficiency.

[0091] (2) The embodiment of the present application determines the charging cost based on the merging address, the target energy amount corresponding to each power supply vehicle, and the charging travel speed, and determines the power supply profit based on the merging address, the target energy amount corresponding to each power supply vehicle, and the charging travel speed of each power supply vehicle, thereby improving the accuracy of the charging cost and the power supply profit.

[0092] (3) The embodiment of the present application adopts a greedy algorithm to select the target power supply vehicle corresponding to the charging vehicle in the power supply vehicle library, which can reduce the charging cost of the charging vehicle and ensure the power supply profit of the power supply vehicle, thereby further improving user satisfaction.

[0093] (4) The embodiments of the present application can ensure the security of payment of energy sharing fees and bring a sense of security to users.

[0094] (5) The embodiments of the present application fully consider the energy sharing between land vehicles and land vehicles, land vehicles and aircraft, and aircraft and aircraft, thereby increasing the application scope of the energy sharing scheduling method provided in the embodiments of the present application.

[0095] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0096] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0097] Figure 1 It is a schematic diagram of an application scenario of the energy sharing scheduling method provided in an embodiment of the present application;

[0098] Figure 2 is a flow chart of the energy sharing scheduling method provided in an embodiment of the present application;

[0099] Figure 3 It is a schematic diagram of the communication framework in the energy sharing scheduling method provided in the embodiment of the present application;

[0100] Figure 4 It is a flowchart of the energy sharing process between a charging vehicle and a target power supply vehicle in the energy sharing scheduling method provided in an embodiment of the present application;

[0101] Figure 5 It is a flowchart of the payment process in the energy sharing scheduling method provided in the embodiment of the present application;

[0102] Figure 6 It is a schematic diagram of the structure of the server provided in the embodiment of the present application;

[0103] Figure 7 is a flow chart of a charging method provided in an embodiment of the present application;

[0104] Figure 8 It is a schematic diagram of the structure of a transportation vehicle provided in an embodiment of the present application. DETAILED DESCRIPTION

[0105] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0106] The energy sharing scheduling method, charging method, vehicle and service end of the embodiment of the present application are described below with reference to the accompanying drawings. With the acceleration of urbanization and the continuous growth of transportation demand, land transportation has faced many challenges, such as traffic congestion. As an emerging mode of transportation, electric aircraft has the advantages of being fast and convenient, and has attracted widespread attention. However, there are some problems with electric aircraft, such as high energy consumption and airspace management, which will inevitably make the problem of difficulty in charging electric vehicles more prominent. Although charging piles have been included in the new infrastructure and become the focus of national infrastructure construction, in fact, during the use of electric aircraft, especially when driving on highways or in remote areas, there will be problems with charging difficulties due to reasons such as being far away from the charging pile or not finding the charging pile.

[0107] In order to solve this technical problem, the energy of aircraft and land vehicles can be shared to achieve complementary advantages between aircraft and land vehicles, improve traffic efficiency, reduce energy consumption, and promote sustainable development. However, when sharing energy between aircraft and land vehicles, or between aircraft and land vehicles, it is necessary to schedule the vehicles that share energy. However, the existing vehicle wireless charging methods do not consider energy sharing between aircraft and between aircraft and land vehicles, and on the other hand, only determine the charging vehicle for wireless charging of the vehicle to be charged according to the distance between the target power supply vehicles, which will affect the sharing cost of shared energy vehicles.

[0108] Based on this, in an embodiment of the present application, a charging request from a charging vehicle is received, wherein the charging request carries the charging vehicle information of the charging vehicle itself; the power supply vehicle information in the power supply vehicle library is read, and based on the charging vehicle information and the information of each power supply vehicle, the charging cost of the charging vehicle relative to each power supply vehicle, and the power supply profit of each power supply vehicle relative to the charging vehicle are determined; based on all the determined charging costs and all the power supply profits, a target power supply vehicle corresponding to the charging vehicle is selected from the power supply vehicle library; charging scheduling information is sent to the charging vehicle, and power supply scheduling information is sent to the target power supply vehicle, so that energy is shared between the charging vehicle and the target power supply vehicle. After receiving a charging request, the embodiment of the present application selects a target power supply vehicle from the power supply vehicle set based on charging cost and power supply profit, and controls energy sharing between the charging vehicle and the target power supply vehicle. In this way, based on charging cost and power supply profit, the charging vehicle can find a power supply vehicle at a low charging cost, and at the same time, it can also ensure that the power supply vehicle can obtain the power supply profit, thereby increasing the matching speed between the charging vehicle and the power supply vehicle and improving the energy sharing efficiency.

[0109] The energy sharing scheduling method provided in the embodiment of the present application can be applied to land vehicles and land vehicles, land vehicles and aircraft, and aircraft and aircraft, wherein the aircraft can be a flying car, a small drone, etc. Here, the specific application scenario of the energy sharing scheduling method provided in the embodiment of the present application is described by taking the aircraft as a flying car as an example.

[0110] Figure 1 A schematic diagram of an application scenario of the energy sharing scheduling method provided in the embodiment of the present application. Figure 1As shown, the application scenario includes four vehicles, namely, a power supply land vehicle 110, a power supply flying car 112, a charging flying car 111 and a charging land vehicle 140, wherein the power supply land vehicle 110 and the power supply flying car 112 can provide shared energy, and the charging flying car 111 and the charging land vehicle 140 need to share a vehicle. Then, the server end for executing the energy sharing scheduling method provided in the embodiment of the present application can receive a charging request issued by the charging flying car 111 and the charging land vehicle 140, and then determine the target power supply vehicle for the charging flying car 111 and the charging land vehicle 140 from the power supply land vehicles 110 and the power supply flying car 112 that can provide shared energy according to the charging flying car 111 and the charging land vehicle 140, and control the power supply land vehicle 110 and the power supply flying car 112 to wirelessly charge with the corresponding target power supply vehicles respectively, wherein, when determining the target power supply vehicle for the charging flying car 111 and the charging land vehicle 140, the target power supply vehicle corresponding to the charging vehicle is selected from the power supply vehicle library based on the charging cost and the power supply profit.

[0111] Figure 2 A flow chart of an energy sharing scheduling method is provided for an embodiment of the present application. Figure 2 As shown, the energy sharing scheduling method specifically includes:

[0112] S10: Receive a charging request from a charging vehicle.

[0113] Specifically, the charging request is sent by the charging vehicle, and the server end for requesting to receive the charging request matches the target power supply vehicle for the charging vehicle. Among them, the server end can be a background server end connected to the charging vehicle, or a cloud device that the charging vehicle can access. In a typical implementation of the embodiment of the present application, the server end is a cloud device, that is, the charging vehicle generates a charging request based on its own charging vehicle information and sends the charging request; the cloud device is used to receive the charging request sent by the charging vehicle, wherein the cloud device can be an edge computing cloud platform, a computing power sharing cloud platform, and all other cloud platforms that can provide computing. In addition, the cloud device has a storage function, which can record the information of the vehicle that sends the charging request and the information of the vehicle that is willing to share energy, so as to facilitate the subsequent determination of the target power supply vehicle. Call. In addition, the charging vehicle can directly send the charging request to the cloud device through the network, or it can realize V2V data transmission or V2I data transmission with the cloud device through the vehicle-mounted communication unit OBU and the road-side communication unit RSU installed on the road side.

[0114] The charging vehicle can be a land vehicle or an aircraft, wherein the aircraft can be a flying car, a small drone, etc. For example, Figure 1 As shown, the charging vehicle can be Figure 1 The charging flying car 111 in the figure may also be a charging land vehicle 140. The charging vehicle information is the information of the charging vehicle itself, wherein the charging vehicle information may include the location of the charging vehicle, the amount of energy required, and the charging driving speed. Of course, in practical applications, the charging vehicle information may also include information such as vehicle identification, trajectory information, and inflation request information, which need not be described one by one here. In addition, in order to obtain the charging vehicle information, a management device and an information collection device are provided on the charging vehicle. The information collection device takes the charging vehicle information and transmits the collected charging vehicle information to the management device. The management device generates a charging request carrying the charging vehicle information based on the charging vehicle information, and sends the charging vehicle information to the server. In one implementation of an embodiment of the present application, the information collection device may include a vehicle combined inertial navigation sensor, a wheel speed sensor, and a battery management system, wherein the vehicle combined inertial navigation sensor is used to adopt location information, the wheel speed sensor is used to collect driving speed, and the battery management system is used to collect vehicle power information.

[0115] Furthermore, the charging request may be generated by the charging vehicle according to user operation, or may be automatically generated according to preset conditions, wherein the preset conditions may be that the remaining power reaches a remaining power threshold, or that the drivable range corresponding to the remaining power reaches a preset mileage threshold, or that the driving time of the charging vehicle reaches a preset time threshold, etc. In an implementation of the embodiment of the present application, the charging request is automatically generated, and its generation process may include:

[0116] S01, obtaining the remaining power information and auxiliary information of the charging vehicle itself;

[0117] S02, determining the time series characteristics of the remaining power information based on the remaining power information and the time series module in the trained travel prediction model;

[0118] S03, determining a predicted trip corresponding to the remaining power information based on the time series feature, the auxiliary information, and a regression module in the trained trip prediction model;

[0119] S04: When the predicted distance is less than a preset distance threshold, a charging request is generated based on vehicle information of the charging vehicle itself.

[0120] Specifically, in step S01, the remaining power information is used to reflect the remaining power of the charging vehicle, and the auxiliary information is used to reflect the current state of the charging vehicle, wherein the remaining power information can be obtained through the battery management system configured by the charging vehicle itself, and the auxiliary information can be formed based on the prior knowledge of historical information, or it can be real-time information collected by the sensor equipment loaded on the charging vehicle. In the embodiment of the present application, the auxiliary information is real-time information collected by the sensor equipment loaded on the charging vehicle, wherein the auxiliary information can include one or more of the driving speed, environmental information and driver information, the driving speed can be obtained by collecting the wheel speed sensor equipped on the charging vehicle, the environmental information can be obtained by collecting the temperature sensor of the charging vehicle device, the driver information can be obtained by collecting the driver's image obtained by the image acquisition device of the charging vehicle device from the driver, and the driver information can be selected from the preset information database, and the driver information can include the driver's driving habits, etc. Of course, in actual applications, the auxiliary information can also be obtained in other ways, which will not be explained here one by one.

[0121] In step S02 and step S03, the trip prediction model is a neural network model trained based on a preset training data set, wherein the training data set may include several training data groups, and each of the several training data groups includes training remaining power information, training auxiliary information, and a true value of the trip corresponding to the training remaining power information. After the trip prediction model is trained using the training data set, it can predict the drivable trip of the charging vehicle based on the remaining power information and the auxiliary information to obtain the predicted trip corresponding to the remaining power information and the auxiliary information. In an embodiment of the present application, several training data groups in the training data set can be obtained by collecting historical driving data of the vehicle.

[0122] Furthermore, the trip prediction model can adopt a deep learning model or a CNN model. In an embodiment of the present application, the trip prediction model includes a time series module and a regression module. The time series module is used to extract the time series characteristics of the remaining power information, and the regression module is used to determine the predicted trip based on the time series characteristics and auxiliary information. Among them, the time series module can adopt a long short-term memory network LSTM, and the trend and periodicity between the remaining power information and the drivable trip can be captured by LSTM, so that the time series characteristics used to reflect the relationship between the remaining power and the drivable trip can be accurately obtained. The regression module can adopt a regression model, and the regression module determines the predicted trip by comprehensively considering the time series characteristics and auxiliary information. The embodiment of the present application uses an artificial intelligence model to track the energy usage of electric vehicles, and can accurately obtain the drivable trip of the remaining power information of the battery car, thereby improving the accuracy of the generation of the charging request. In addition, in the process of determining the predicted trip through the artificial intelligence model, the present application also adds auxiliary information, which can further improve the accuracy of the remaining power information.

[0123] In step S04, the preset travel threshold is pre-set and is used as a basis for measuring whether to automatically form a charging request, wherein when the predicted travel is greater than or equal to the preset travel threshold, the charging vehicle does not automatically form a charging request, and when the predicted travel is less than the preset travel threshold, the charging vehicle automatically forms a charging request. In addition, in practical applications, in order to improve the flexibility of generating charging requests, two travel thresholds can be pre-set, respectively recorded as a first travel threshold and a second travel threshold, the first travel threshold is greater than the second travel threshold, when the predicted travel is less than the first travel threshold and greater than or equal to the second travel threshold, a prompt message of a charging request can be formed by the travel, and the prompt message is displayed to the user, and a feedback operation formed by the user based on the extracted information is received, when the control instruction corresponding to the feedback operation is to generate a charging request, a charging request is formed based on the charging vehicle information, and when the control instruction corresponding to the feedback operation is not to generate a charging request, the sending interval of the prompt message is monitored, and when the sending interval reaches the preset interval time, the operation of forming the prompt message of the charging request is re-executed. Further, when the predicted travel is less than the second travel threshold, the charging vehicle automatically forms a charging request and forms notification information to inform the user through the notification information.

[0124] The above completes the description of the charging request generation process. However, when the charging vehicle needs to be charged, the charging vehicle can be charged wirelessly through energy sharing or through fixed charging. When selecting between wireless charging and fixed charging, fixed charging can be directly selected as the preferred charging method, or the fixed charging device can be placed in the power supply vehicle library as a power supply vehicle.

[0125] In an implementation of the embodiment of the present application, when the predicted travel distance is less than a preset travel distance threshold, executing the step of forming a charging request based on the vehicle information of the charging vehicle itself specifically includes:

[0126] When the predicted travel distance is less than a preset travel distance threshold, querying whether there is an available fixed charging device;

[0127] If available fixed charging equipment is found, drive to the fixed charging equipment;

[0128] If no available fixed charging equipment is found, the step of forming a charging request based on the vehicle information of the charging vehicle itself is performed.

[0129] Specifically, the distance between the available fixed charging equipment and the charging vehicle is less than the predicted travel, that is, the remaining power of the charging vehicle can support the charging vehicle to travel to the location of the fixed charging equipment. Among them, when the available fixed charging equipment is found, it means that the charging vehicle can be charged by the fixed charging equipment. On the contrary, when the available fixed charging equipment is not found, it means that the charging vehicle cannot be charged by the fixed charging equipment. At this time, the step of forming a charging request based on the vehicle information of the charging vehicle itself is executed. Of course, in actual applications, in order to reduce the charging cost, when the available fixed charging equipment is found, a charging request can also be generated, and then the available fixed charging equipment found is also used as a power supply device to be selected corresponding to the charging equipment, and the charging cost of using the available fixed charging equipment is calculated. Then, after obtaining the charging cost of each power supply vehicle, the charging cost of the fixed charging equipment can be directly compared with the charging cost of each power supply vehicle. If the charging cost of the fixed charging equipment is less than the charging cost of each power supply vehicle, the fixed charging equipment is used as the target charging equipment, and the charging vehicle is controlled to travel to the fixed charging equipment. In addition, after obtaining the charging cost of each power-supply vehicle, it is also possible to first select a target power-supply vehicle from each power-supply vehicle, and then compare the charging cost of the target power-supply vehicle with the charging cost of the available fixed charging equipment. When the charging cost of the available fixed charging equipment is less than or equal to the charging cost of the target power-supply vehicle, control the charging vehicle to travel to the fixed charging equipment; conversely, when the charging cost of the available fixed charging equipment is greater than the charging cost of the target power-supply vehicle, use the target power-supply vehicle for wireless charging.

[0130] S20, reading the power supply vehicle information in the power supply vehicle library, and determining the charging cost of the charging vehicle relative to each power supply vehicle, and the power supply profit of each power supply vehicle relative to the charging vehicle based on the charging vehicle information and each power supply vehicle information.

[0131] Specifically, the power supply vehicle library is pre-established and used to store information of power supply vehicles that can improve shared energy. That is, the power supply vehicle library stores information of several power supply vehicles, and each power supply vehicle corresponding to the information of several power supply vehicles can provide shared energy to other vehicles. Among them, each power supply vehicle can be a land vehicle, a flying car, a small drone, and other electric vehicles, for example, Figure 1 As shown, one of the several pieces of power supply vehicle information is the vehicle information of the power supply land vehicle 110, and the other piece of power supply vehicle information is the vehicle information of the power supply flying car 112. The power supply vehicle information may include the power supply vehicle location, the amount of supplied energy, and the power supply driving speed, and may also include vehicle identification, energy sharing willingness, and trajectory information. In addition, in order to obtain the power supply vehicle information, the power supply vehicle also includes a management device and an information collection device, and the management device and the information collection device have the same role and function as the management device and the information collection device of the charging vehicle device, so they will not be repeated here, and the specific description of the charging vehicle can be adopted.

[0132] Further, after reading the power supply vehicle information in the power supply vehicle library, the power supply vehicles in the power supply vehicle library can be preliminarily screened based on the location information between the power supply vehicle and the charging vehicle, and then based on all the determined charging costs and all the power supply profits, the target power supply vehicle corresponding to the charging vehicle is selected in the power supply vehicle library, which can reduce the amount of calculation for selecting the target power supply vehicle corresponding to the charging vehicle in the power supply vehicle library based on all the determined charging costs and all the power supply profits, thereby improving the speed of determining the target power supply vehicle. Among them, the process of preliminarily screening the power supply vehicles in the power supply vehicle library based on the location information between the power supply vehicle and the charging vehicle can be: first, the vehicle distance between the charging vehicle and each power supply vehicle is calculated according to the vehicle location in the charging vehicle information and the vehicle location of each power supply vehicle information, if the vehicle distance is greater than the drivable range corresponding to the remaining power information of the charging vehicle, then the power supply vehicle information corresponding to the vehicle distance is discarded; or, if the vehicle distance is less than the device distance between the charging vehicle and the available fixed charging device, then the power supply vehicle information corresponding to the vehicle distance is discarded, etc. Of course, in practical applications, other methods can also be used for preliminary screening, for example, a vehicle distance threshold is pre-set, and when the vehicle distance is greater than the vehicle distance threshold, the power supply vehicle information corresponding to the vehicle distance is discarded, wherein the vehicle distance threshold can be determined based on the drivable range corresponding to the remaining power information, for example, the vehicle distance threshold is half of the drivable range corresponding to the remaining power information, etc.

[0133] In the embodiment of the present application, the determining of the charging cost of the charging vehicle relative to each power supply vehicle, and the power supply profit of each power supply vehicle relative to the charging vehicle based on the charging vehicle information and each power supply vehicle information specifically includes:

[0134] S21, determining a meeting address corresponding to each power supply vehicle according to the location of the charging vehicle and the locations of each power supply vehicle, and determining a target energy amount corresponding to each power supply vehicle based on the required energy amount and each supplied energy amount;

[0135] S22, determining the charging cost of the charging vehicle relative to each power supply vehicle based on the merging address, the target energy amount corresponding to each power supply vehicle, and the charging driving speed;

[0136] S23, determining the power supply cost corresponding to each power supply vehicle based on the merging address, the target energy amount corresponding to each power supply vehicle, and the power supply driving speed of each power supply vehicle, and determining the power supply profit based on the charging cost and the power supply cost.

[0137] Specifically, in step S21, the merging address is determined based on the charging vehicle position of the charging vehicle and the power supply vehicle position of the power supply vehicle, and is used to determine the meeting point of the power supply vehicle and the charging vehicle, that is, the merging address is the address of the meeting point of the power supply vehicle and the charging vehicle. Figure 1 As shown, the address of the meeting point 131 is the meeting address of the power supply flying car 112 and the charging flying car 111. Among them, when determining the meeting address according to the charging vehicle position of the charging vehicle and the power supply vehicle position of the power supply vehicle, the middle position of the power supply vehicle and the charging vehicle can be directly selected as the meeting position, or the nearest position to which both the power supply vehicle and the charging vehicle can travel can be used as the meeting position, and the power supply vehicle position and the charging vehicle position can also be input into a pre-trained neural network model for determining the meeting address of the two vehicles, and the result is obtained through the output of the neural network model. Of course, in practical applications, other methods can also be used to determine the meeting address, which will not be described here one by one.

[0138] The target energy amount is the amount of energy that can be shared between the power supply vehicle and the charging vehicle, wherein the target energy amount can be the smaller of the required energy amount and the supplied energy amount. For example, if the required energy amount is less than the supplied energy amount, then the target energy amount can be the required energy amount, or if the supplied energy amount is less than the required energy amount, then the target energy amount can be the supplied energy amount, etc. Of course, in practical applications, the target energy amount can also be determined in other ways. For example, when the required energy amount is less than the supplied energy amount, the target energy amount can be the smaller of the required energy amount and the amount of energy required for the charging vehicle to travel to the merging address and the supplied energy amount, etc.

[0139] Further, in step S22 and step S23, the charging cost may include energy acquisition cost, charging convergence cost and charging time cost, wherein the energy acquisition cost is used to reflect the cost required to obtain the target energy amount, the charging convergence cost is used to reflect the energy cost spent by the charging vehicle to travel to the convergence address, and the charging time cost is used to reflect the time spent by the charging vehicle in the energy sharing process. The power supply profit may be determined based on the charging cost and the power supply cost, wherein the power supply cost includes the original purchase cost of the supplied energy, the power supply convergence cost and the power supply time cost, wherein the original purchase cost is the cost spent by the power supply vehicle to purchase the target energy amount, the power supply convergence cost is used to reflect the energy cost spent by the power supply vehicle to travel to the convergence address, and the power supply time cost is used to reflect the time spent by the power supply vehicle in the energy sharing process.

[0140] In the embodiment of the present application, the energy acquisition cost is calculated based on the target energy amount and the energy transaction unit price, wherein the energy acquisition cost The calculation formula can be:

[0141]

[0142] Among them, Pr p represents the energy transaction unit price, a C Indicates the target energy amount.

[0143] The charging convergence cost can be calculated based on the purchase price of the energy carried by the charging vehicle itself, the convergence distance between the charging vehicle and the convergence address, and the amount of energy required per kilometer. The calculation formula can be:

[0144]

[0145] Among them, Pr0 represents the purchase price of the energy carried by the vehicle itself, represents the merging distance between the charging vehicle and the merging address, λ C Indicates the amount of energy required per kilometer to charge a vehicle.

[0146] The charging time cost includes driving time, charging time and charging waiting time. The driving time reflects the time required for the charging vehicle to travel to the meeting address, which can be expressed as The charging time is the time required for energy exchange, which can be expressed as The charging waiting time is the time required to wait for the power supply vehicle to reach the meeting address, which can be expressed as Correspondingly, the calculation formula for charging time cost can be:

[0147]

[0148] Among them, v C represents the charging driving speed, η represents the power transfer efficiency, which is the ratio of the actual transferred energy to the total required energy, CR represents the rate of energy transfer per unit time, and Y represents the monetary value of the time spent in the V2V energy exchange process.

[0149] The original purchase cost of the power supply vehicle is calculated based on the target energy volume and the purchase price of the energy carried by the power supply vehicle itself. The original purchase cost of the power supply vehicle OE p The calculation formula can be:

[0150]

[0151] Where η represents the power transmission efficiency, a C represents the target energy amount, and Pr0 represents the purchase price of the energy carried by the vehicle itself. The power supply convergence cost can be calculated based on the purchase price of the energy carried by the power supply vehicle itself, the convergence distance between the power supply vehicle and the convergence address, and the amount of energy required per kilometer. The calculation formula can be:

[0152]

[0153] Among them, Pr0 represents the purchase price of the energy carried by the vehicle itself, represents the merging distance between the power supply vehicle and the merging address, λ P Indicates the amount of energy required to power a vehicle per kilometer.

[0154] The power supply time cost includes travel time, power supply time and power supply waiting time. The travel time reflects the time required for the power supply vehicle to travel to the meeting address, which can be expressed as The power supply time is the time required for energy exchange. The power supply time and charging time are the same and can be expressed as The power supply waiting time is the time required to wait for the charging vehicle to reach the meeting address, which can be expressed as Correspondingly, the charging time cost The calculation formula can be:

[0155]

[0156] Among them, v P represents the power driving speed, η represents the power transfer efficiency, which is the ratio of the actual transferred energy to the total required energy, CR represents the rate of energy transfer per unit time, and Y represents the monetary value of the time spent in the V2V energy exchange process.

[0157] Further, after obtaining the power supply cost and the charging cost, the power supply profit can be calculated based on the power supply cost and the charging cost, for example, power supply profit = charging cost - power supply cost, power supply profit = charging cost - power supply cost - scheduling cost, the scheduling cost is the fee that the service end needs to charge for matching the charging vehicle with the power supply vehicle, or charging profit = power supply income - power supply cost, where power supply income = energy acquisition cost + power supply convergence cost + power supply time cost. In an embodiment of the present application, the power supply profit of the power supply vehicle = power supply income - power supply cost, where power supply income = energy acquisition cost + power supply time cost + power supply driving cost, and power supply cost = original purchase cost of the power supply vehicle + power supply time cost + power supply driving cost, that is: power supply profit = energy acquisition cost - original purchase cost of the power supply vehicle.

[0158] S30: Based on all determined charging costs and all determined power supply profits, select a target power supply vehicle corresponding to the charging vehicle from the power supply vehicle library.

[0159] Specifically, the target power supply vehicle is a power supply vehicle for charging vehicles, wherein the target power supply vehicle is a power supply vehicle in the power supply vehicle library, and is determined based on all charging costs and all power supply profits, wherein all charging costs and all power supply profits correspond one to one. When selecting the target power supply vehicle corresponding to the charging vehicle in the power supply vehicle library based on all determined charging costs and all power supply profits, the power supply vehicle with the smallest charging cost can be directly selected from the power supply vehicle library as the target power supply vehicle; weights can also be configured for the charging cost and the power supply profit, and then the power supply vehicle with the smallest weighted charging cost and power supply profit is calculated as the target power supply vehicle, wherein, when performing weighted calculation, the power supply vehicles will be preliminarily screened according to the positive and negative power supply profits, and then determined by weighting; a cost / profit model can also be constructed based on the charging cost and the power supply profit, and the cost / profit model is used as the objective function to select the target power supply vehicle in the power supply vehicle library through a greedy algorithm.

[0160] In the embodiment of the present application, based on the determined all charging costs and all power supply profits, selecting a target power supply vehicle corresponding to the charging vehicle in the power supply vehicle library specifically includes:

[0161] S31, constructing an objective function based on charging cost and power supply profit;

[0162] S32: Based on all the determined charging costs and all the power supply profits, a target power supply vehicle corresponding to the charging vehicle is selected from the power supply vehicle library by adopting a greedy algorithm of the objective function.

[0163] Specifically, the objective function adopts a cost / profit model, where the cost / profit model includes unit charging cost and unit power supply profit. Unit charging cost = charging cost / target energy quantity, unit power supply profit = power supply profit / target energy quantity. Accordingly, the unit charging cost UC C And unit power supply profit UP P The calculation formulas can be respectively:

[0164]

[0165]

[0166] Among them, C C represents the charging cost, R P Represents the power supply benefit, C P represents the power supply cost, a C Indicates the target energy amount.

[0167] For example: Figure 2 As shown, the charging land vehicle 140 has a predefined destination 101, but does not have enough energy to reach the destination 101. The charging land vehicle 140 has a power supply land vehicle 110 and a power supply flying car 112 that are willing to provide the remaining energy. The meeting address of the charging land vehicle 140 and the power supply land vehicle 110 is the meeting point 130, and the meeting address of the charging land vehicle 140 and the power supply flying car 112 is the meeting point 131. Then, the charging cost of the charging land vehicle 140 and the power supply profits of the power supply land vehicle 110 and the power supply flying car 112 are calculated respectively, and then the target power supply vehicle is selected from the power supply land vehicle 110 and the power supply flying car 112 according to the cost / profit model through a greedy algorithm.

[0168] In the embodiment of the present application, the step of selecting a target power supply vehicle corresponding to the charging vehicle from the power supply vehicle library by adopting a greedy algorithm of the objective function based on all determined charging costs and all power supply profits specifically includes:

[0169] Constructing an initial supply relationship matrix based on the charging cost and the power supply profit of each power supply vehicle;

[0170] The initial supply relationship matrix is ​​used as the supply relationship matrix, and a target data group is selected from the supply relationship matrix with the goal of minimizing the charging cost and making the power supply profit a positive value;

[0171] adding the target data group to a preset matching set, and deleting the target data group from the supply relationship matrix to update the supply relationship matrix;

[0172] The updated supply relationship matrix is ​​used as the supply relationship matrix, and the step of selecting the target data group from the supply relationship matrix with the initial supply relationship matrix as the supply relationship matrix with the goal of minimizing the charging cost and making the power supply profit a positive value is continued, until the amount of data of the target data group included in the preset matching set reaches a preset amount;

[0173] A target data group is selected from the preset matching set, and the power supply vehicle corresponding to the target data group is used as the target power supply vehicle corresponding to the charging vehicle.

[0174] Specifically, the supply relationship matrix is ​​used to reflect the relationship between the unit charging cost and the unit power supply profit when the charging vehicle and the power supply vehicle share energy. That is, the supply relationship matrix stores all the unit charging costs when the charging vehicle and the power supply vehicle are paired, and the unit power supply profit of all the power supply vehicles. After the supply relationship matrix is ​​constructed, the supply relationship matrix is ​​sorted in ascending order to generate a preference list, and then the unit charging cost UC is selected from all the combinations. C The target data group is selected in ascending order, wherein the target data group includes the unit charging cost UC C And unit power supply profit UP P ; Select the target data group as unit power supply profit UP P The positive value includes the unit charging cost UC C In addition, when multiple target data groups are selected, the ratio of cost to profit in each data group is calculated as the user satisfaction value. When the profit is greater and the cost is smaller, the ratio is smaller, indicating that the satisfaction among energy sharers is greater. Among multiple target data groups, the target data group with the highest user satisfaction is selected, that is, the target data group with the smallest ratio.

[0175] The selected target data group is added to the preset matching set M, and the supply relationship matrix is ​​updated accordingly by deleting the target data group, and then the updated supply relationship matrix is ​​used as the supply relationship matrix, and the step of selecting the target data group in the supply relationship matrix with the initial supply relationship matrix as the supply relationship matrix and taking the minimum charging cost and the power supply profit as a positive value as the target is executed, until the data amount of the target data group included in the preset matching set reaches the preset number, and finally a target data group is selected in the preset matching set as the target power supply vehicle corresponding to the charging vehicle, wherein the target data group can be selected in the preset matching set by random selection, or by selecting the target data group with the minimum charging cost.

[0176] The embodiment of the present application uses the cost / profit model as the objective function, determines the target power supply vehicle through a greedy algorithm, fully considers the information of both the charging vehicle and the power supply vehicle, and fully considers the user preferences of the charging vehicle and the user preferences of the power supply vehicle, thereby improving the user satisfaction of energy sharing. At the same time, when constructing the cost / profit model, the present application fully considers distance, time, cost, energy, personal factors and realistic factors (such as traffic conditions, etc.), improves the comprehensive consideration of factors affecting energy sharing, thereby further improving the efficiency of energy sharing establishment and user satisfaction.

[0177] S40: Send charging scheduling information to the charging vehicle, and send power supply scheduling information to the target power supply vehicle, so that energy is shared between the charging vehicle and the target power supply vehicle.

[0178] Specifically, the charging scheduling information is used to schedule the charging vehicle to the convergence address, and the power supply scheduling information is used to schedule the target power supply vehicle to the convergence address, so that energy sharing is performed between the charging vehicle and the target power supply vehicle, wherein energy sharing between the charging vehicle and the target power supply vehicle refers to establishing wireless energy transmission between the charging vehicle and the target power supply vehicle, so as to transmit energy to the charging vehicle via the target power supply vehicle.

[0179] In the embodiment of the present application, the generation process of the charging scheduling information may be:

[0180] Obtaining a meeting address of the charging vehicle and the target power supply vehicle;

[0181] Acquiring charging road condition information from the charging vehicle to the merging address, and determining a predicted charging driving speed based on the charging road condition information;

[0182] Charging schedule information is generated based on the merging address, the predicted power supply travel speed, and power supply vehicle information of the target power supply vehicle, and the charging schedule information is sent to the charging vehicle.

[0183] Specifically, the charging road condition information is used to reflect the traffic conditions from the charging vehicle to the meeting address, and the predicted charging driving speed is the average speed of the charging vehicle from the current position to the meeting address according to the charging road condition information, so that the service end determines the charging driving time required for the charging vehicle to travel to the meeting address based on the predicted charging driving speed. After obtaining the predicted charging driving speed, the charging scheduling information carrying the meeting address, the predicted power supply driving speed and the vehicle information of the charging vehicle is generated, so that the charging vehicle can know the meeting address, the predicted charging driving speed and the power supply vehicle.

[0184] In the embodiment of the present application, the generation process of the power supply scheduling information may be:

[0185] Obtaining a meeting address of the charging vehicle and the target power supply vehicle;

[0186] Acquire power supply road condition information from the target power supply vehicle to the merging address; and determine a predicted power supply driving speed based on the power supply road condition information;

[0187] Power supply scheduling information is generated based on the merging address, the predicted power supply travel speed, and the power supply vehicle information of the target power supply vehicle, and the power supply scheduling information is sent to the target power supply vehicle.

[0188] Specifically, the power supply road condition information is used to reflect the traffic conditions from the target power supply vehicle to the merging address, and the predicted power supply travel speed is the average speed of the target power supply vehicle from the current position to the merging address according to the power supply road condition information, so that the service end determines the power supply travel time required for the target power supply vehicle to travel to the merging address based on the predicted power supply travel speed. After the predicted power supply travel speed is obtained, the charging scheduling information carrying the merging address, the predicted power supply travel speed and the vehicle information of the charging vehicle is generated, so that the target power supply vehicle can know the merging address, the predicted power supply travel speed and the power supply vehicle. In addition, in actual applications, in order to reduce the waiting time between the charging vehicle and the target power supply vehicle, when calculating the predicted power supply driving speed and the predicted charging driving speed, the predicted power supply driving speed and the predicted charging driving speed can be first calculated based on the power supply road condition information and the charging road condition information, and then the charging vehicle arrival time and the power supply vehicle arrival time are calculated based on the predicted power supply driving speed and the predicted charging driving speed, and then the latest time between the charging vehicle arrival time and the power supply vehicle arrival time is selected as the target arrival time, and finally the predicted power supply driving speed and the predicted charging driving speed are calculated based on the target arrival time, and the predicted power supply driving speed is used as the predicted power supply driving speed of the target power supply vehicle, and the predicted charging driving speed is used as the measured charging driving speed of the charging vehicle, so that the waiting time of the charging vehicle and the target power supply vehicle at the meeting address can be reduced.

[0189] In the embodiment of the present application, the sending of charging scheduling information to the charging vehicle and the sending of power supply scheduling information to the target power supply vehicle so as to enable energy sharing between the charging vehicle and the target power supply vehicle specifically includes:

[0190] Sending power supply scheduling information to the target power supply vehicle so that the target power supply vehicle transmits microwave energy based on the receiving position of the charging vehicle;

[0191] The charging scheduling information is sent to the charging vehicle so that the charging vehicle receives microwave energy based on the sending position of the target power supply vehicle, thereby realizing energy sharing between the charging vehicle and the target power supply vehicle.

[0192] Specifically, microwaves are used to share energy between the target power-supply vehicle and the charging vehicle, that is, the target power-supply vehicle shares energy with the charging vehicle by emitting microwave energy to the charging vehicle, and the charging vehicle receives the shared energy from the target power-supply vehicle by receiving microwave energy. Among them, since microwave energy sharing requires a certain distance between the charging vehicle and the target power-supply vehicle, energy sharing between the charging vehicle and the target power-supply vehicle will only be carried out after both the charging vehicle and the target power-supply vehicle have traveled to the merging address. Therefore, before the target power-supplying vehicle shares energy with the charging vehicle, both the charging vehicle and the target power-supplying vehicle need to travel to the merging address, that is, the charging scheduling information carries the merging address and the power supply scheduling information both carries the merging address, and before the charging vehicle shares energy with the target power-supplying vehicle, the method further includes: controlling the charging vehicle and the target power-supplying vehicle to travel to the merging address respectively; when both the charging vehicle and the target power-supplying vehicle travel to the merging address, controlling the charging vehicle to establish energy sharing with the target power-supplying vehicle so as to charge the charging vehicle through the target power-supplying vehicle.

[0193] In one implementation of the present application, the sharing instruction for establishing energy sharing between the charging vehicle and the target power-supply vehicle at the confluence address may be sent by the service end to the charging vehicle and the target power-supply vehicle, or may be sent by the service end to the charging vehicle, and then the charging vehicle sends a charging request message to the target power-supply vehicle on its own to establish energy sharing with the target power-supply vehicle. In other words, the establishment of energy sharing with the target power-supply vehicle at the confluence address to charge the charging vehicle through the target power-supply vehicle specifically includes: sending a charging request message to the target power-supply vehicle at the confluence address; receiving microwave energy emitted by the target power-supply vehicle based on the charging request message to establish energy sharing with the target power-supply vehicle to charge the charging vehicle through the target power-supply vehicle.

[0194] Furthermore, during the energy sharing process between the charging vehicle and the target power supply vehicle, since a certain distance needs to be maintained between the charging vehicle and the target power supply vehicle, before starting energy sharing, the driving trajectory of the charging vehicle and the tracking trajectory of the target power supply vehicle can be planned, and the charging vehicle travels according to the driving trajectory, and the target power supply vehicle travels according to the tracking trajectory, so that the distance between the charging vehicle and the target power supply vehicle can meet the distance requirement for microwave energy sharing. Based on this, the method also includes:

[0195] Determine a tracking trajectory corresponding to the target power supply vehicle, and control the target power supply vehicle to travel according to the tracking trajectory, so that the charging vehicle and the target power supply vehicle travel in a coordinated formation.

[0196] Specifically, after determining the driving trajectory of the charging vehicle and the corresponding tracking trajectory of the target power supply vehicle, the charging vehicle and the target power supply vehicle can be coordinated to drive in formation, and the charging vehicle and the target power supply vehicle communicate to obtain status information between multiple vehicles and make decisions independently, so that multiple vehicles can maintain a certain distance and speed in formation. In addition, during the coordinated driving of the charging vehicle and the target power supply vehicle, the linear quadratic controller can be used for lateral coordinated driving, and the PID controller can be used for longitudinal coordinated driving, so that the distance between the charging vehicle and the target power supply vehicle can meet the distance requirements for microwave energy sharing, and the driving safety of the charging vehicle and the target power supply vehicle can be guaranteed.

[0197] In the embodiment of the present application, during the coordinated formation driving process, the charging vehicles and the target power supply vehicles in the formation not only rely on the sensors they carry to obtain the position and speed information of the vehicle, but also send the vehicle information to the road test unit (RSU) through the vehicle-mounted communication technology communication equipment, and the road test unit transmits the data to the target power supply vehicle through data processing. The target power supply vehicle sends the position and speed information collected by the sensor to the vehicle-mounted communication unit (OBU), and then sends it to the road test unit (RSU) through the vehicle-mounted communication technology. After the calculation unit in the road test unit processes it, it sends the reference speed, longitude and latitude, heading angle and other information of each vehicle to the vehicle-mounted OBU of the charging vehicle through the vehicle-mounted communication technology, and sends the information to the vehicle-mounted controller of the charging vehicle through the OBU, and then the charging vehicle corrects the tracking trajectory according to the received data, and sends the corrected tracking trajectory to the target power supply vehicle. Of course, in actual applications, the charging vehicle and the target power supply vehicle can communicate directly through the vehicle-mounted communication technology. That is, the charging vehicle communicates directly with the power supply vehicle via the Internet of Vehicles communication technology, or the charging vehicle communicates with the power supply vehicle via a road-side communication unit using the Internet of Vehicles communication technology.

[0198] For example: Figure 3 Schematic diagram of the communication framework in the energy sharing scheduling method. Figure 3In the figure, 310 is a cloud computing platform, 320, 321 and 322 are all flying cars, 330 and 331 are network communication base stations, 340 is PC5 communication between flying cars and land vehicles, 341 is Uu communication mode, direct communication between vehicles and network terminals, 342 is PC5 communication mode, communication between vehicles and road-side units, 343 is PC5 communication between land vehicles, 350 and 351 are road-side communication units, and 360 and 361 are land vehicles. Among them, each land vehicle and each flying car can communicate directly with the cloud platform, or communicate with the cloud platform through the road-side communication unit. For example, the land vehicle 360 ​​can directly send a charging request to the cloud platform through the 340 Uu communication mode, or send a charging request to the road-side communication unit through the 341 PC5 communication mode. The road-side communication unit then uses optical fiber and cable to transmit the information to the network base station and then upload it to the cloud platform.

[0199] In one implementation of the embodiment of the present application, Figure 4 As shown, the sending of power supply scheduling information to the target power supply vehicle so that the target power supply vehicle transmits microwave energy based on the receiving position of the charging vehicle specifically includes:

[0200] Controlling the target power supply vehicle to configure power supply transmission parameters and power supply target location, and converting electrical energy into microwave energy;

[0201] Controlling the target power supply vehicle to detect the receiving position of the charging vehicle, and adjusting the power supply transmission parameters based on the receiving position and the power supply target position;

[0202] The target powered vehicle detection capability transmission efficiency is controlled, microwave tuning is performed based on the transmission efficiency, and tuned microwave energy is transmitted.

[0203] Specifically, the target power-supply vehicle is the energy transmitting end, the charging vehicle is the energy receiving end, the power transmission parameters and the power target position of the target power-supply vehicle are pre-acquired, and before the target power-supply vehicle turns on the charging switch, the power transmission parameters and the power target position are configured first, and then the charging switch is turned on to convert the electric energy into microwave energy. In addition, after turning on the charging switch, the target power-supply vehicle will detect the receiving position of the charging vehicle, wherein the receiving position refers to the vehicle position of the charging vehicle, and the target power-supply vehicle can directly obtain the receiving position from the charging vehicle using the Internet of Vehicles communication technology, or can obtain the receiving position from the charging vehicle through the road-side communication unit using the Internet of Vehicles communication technology.

[0204] After the target power-supply vehicle obtains the receiving position, it calculates the transmission parameters required for wireless energy transmission to the charging vehicle according to the receiving position, and uses the transmission parameters to adjust the power transmission parameters so that the charging vehicle can receive the microwave energy emitted by the target power-supply vehicle, and sets the target position of transmission according to the receiving position of the charging vehicle to complete the initial parameter setting of the wireless energy transmission module in the target power-supply vehicle. Then, the microwave DC power amplifier is used to convert energy, convert electrical energy into microwave energy, and monitor the receiving position of the charging vehicle in real time; when the receiving position changes, the target power-supply vehicle will adjust the transmission parameters of the wireless energy transmission module again according to the changed receiving position, so as to ensure the maximum power wireless energy transmission.

[0205] Furthermore, after the electric energy is converted into microwave energy, the transmission power of the microwave energy is detected, and the resonance frequency between the target powered vehicle and the charging vehicle is dynamically adjusted using a tuner, and finally energy transmission is performed by using multiple antennas, which can ensure the efficiency and stability of energy transmission on the one hand, and improve the directionality and efficiency of transmission on the other hand. Among them, the multiple antenna system can use beamforming technology to focus energy on the charging vehicle, realizing energy sharing between the target powered vehicle and the charging vehicle.

[0206] Further, the sending of charging scheduling information to the charging vehicle so that the charging vehicle receives microwave energy based on the sending position of the target power supply vehicle, and realizing energy sharing between the charging vehicle and the target power supply vehicle specifically includes:

[0207] Controlling the charging vehicle to configure receiving transmission parameters and a target location, and receiving microwave energy emitted by a target power supply vehicle;

[0208] Acquiring a receiving frequency of the microwave energy and a receiving position of a target powered vehicle, and adjusting the receiving transmission parameters based on the receiving frequency and the receiving position;

[0209] The microwave energy is converted into a power supply current based on the adjusted receiving and transmitting parameters, and the power supply current is input into an onboard power storage device of the charging vehicle.

[0210] Specifically, the charging vehicle as a receiving end needs to configure the receiving transmission parameters and the target position so that the charging vehicle can receive the microwave energy emitted by the target power-supply vehicle, wherein the charging vehicle also needs to turn on the charging switch when receiving the microwave energy emitted by the target power-supply vehicle. Specifically, the charging vehicle obtains the vehicle information and location information of the target power-supply vehicle through the Internet of Vehicles communication technology to obtain the receiving location of the target power-supply vehicle, and adjusts the receiving transmission parameters and sets the receiving location according to the receiving location. Like the target power-supply vehicle, the charging vehicle will also obtain the vehicle location of the target power-supply vehicle in real time during the energy sharing process to adjust the receiving location and receiving frequency in real time to achieve stable and efficient transmission of energy. In addition, after the receiving transmission parameters and the receiving location are set, the microwave energy is converted into a DC power supply through an efficient energy receiver and input into the energy storage battery to achieve wireless charging.

[0211] In one implementation of the embodiment of the present application, Figure 5 As shown, after sending charging scheduling information to the charging vehicle and sending power supply scheduling information to the target power supply vehicle so that energy is shared between the charging vehicle and the target power supply vehicle, the method further includes:

[0212] When the charging vehicle and the target power supply vehicle complete energy sharing, receiving the actual amount of energy sent by the charging vehicle, and generating a payment request based on the actual amount of energy;

[0213] The energy sharing fee is shared with the charging vehicle and the target power supply vehicle through blockchain technology to complete the settlement of the energy sharing fee.

[0214] Specifically, when the energy sharing charging operation is completed, the actual amount of energy actually received by the charging vehicle is determined, and a payment request is made based on the actual amount of energy, wherein the fee amount corresponding to the payment request is the energy sharing fee, which is determined based on the actual amount of energy and the energy transaction price charged by the target power supply vehicle. After the payment request is generated, the payment request is sent to the blockchain network, and the energy sharing fee is shared with the charging vehicle and the target power supply vehicle through the blockchain network to complete the settlement of the energy sharing fee. Among them, the target power supply vehicle, charging vehicle and service end are all nodes of the blockchain network. A secure payment module is set on the blockchain network. The secure payment module receives the payment request corresponding to the energy sharing fee. When the secure payment module receives the payment request, the payment request is recorded in the distributed ledger of the blockchain network to ensure that all target power supply vehicles, charging vehicles and service ends can access and verify the payment information of the payment request. Then the nodes in the blockchain network use a consensus mechanism (such as proof of work or proof of equity) to verify and confirm the payment request. When the payment request is verified and confirmed, the smart contract is triggered to execute, and the charging vehicle can realize the payment operation of the payment request. Among them, the smart contract is a pre-programmed automation rule that defines the conditions and behaviors of payment, and responds to the payment request to transfer the energy sharing fee from the account of the charging vehicle to the account of the target power supply vehicle. These transactions are recorded on the blockchain network to ensure the transparency and traceability of the payment. When the payment operation corresponding to the payment request is completed, the target power supply vehicle and the charging vehicle can verify the completion of the payment and obtain corresponding confirmation. Since then, the fee payment process in the energy sharing process has been completed using blockchain technology, and a secure transaction has been realized.

[0215] In summary, an embodiment of the present application provides an energy sharing scheduling method, the method comprising receiving a charging request from a charging vehicle, wherein the charging request carries the charging vehicle information of the charging vehicle itself; reading the power supply vehicle information in a power supply vehicle library, and determining the charging cost of the charging vehicle relative to each power supply vehicle, and the power supply profit of each power supply vehicle relative to the charging vehicle based on the charging vehicle information and each power supply vehicle information, and selecting a target power supply vehicle corresponding to the charging vehicle from the power supply vehicle library based on all the determined charging costs and all the power supply profits; sending charging scheduling information to the charging vehicle, and sending power supply scheduling information to the target power supply vehicle, so that energy is shared between the charging vehicle and the target power supply vehicle. After receiving a charging request, the embodiment of the present application selects a target power supply vehicle from the power supply vehicle set based on charging cost and power supply profit, and controls energy sharing between the charging vehicle and the target power supply vehicle. In this way, based on charging cost and power supply profit, the charging vehicle can find a power supply vehicle at a low charging cost, and at the same time, it can also ensure that the power supply vehicle can obtain the power supply profit, thereby increasing the matching speed between the charging vehicle and the power supply vehicle and improving the energy sharing efficiency.

[0216] Based on the above energy sharing scheduling method, such as Figure 6 As shown, the embodiment of the present application provides a server, including: a first processor 602 and a first memory 601;

[0217] The first memory 601 stores a computer-readable program that can be executed by the first processor 602;

[0218] When the first processor 602 executes the computer-readable program, the steps in the energy sharing scheduling method described above are implemented.

[0219] Specifically, the first memory 601 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0220] If the first memory 601 and the first processor 602 are implemented independently, the first memory 601 and the first processor 602 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus, or an Extended Industry Standard Architecture (EIS) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 7 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0221] Optionally, in a specific implementation, the server may further include a communication interface, and the communication interface is used to communicate with an external device. Among them, the first memory 601, the first processor 602 and the communication interface may be integrated on a chip, and the first memory 601, the first processor 602 and the communication interface may communicate with each other through an internal interface.

[0222] The first processor 602 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0223] Based on the above energy sharing scheduling method, the present application embodiment provides a charging method, such as Figure 7 As shown, the method includes:

[0224] N10. Forming a charging request based on the vehicle information of the charging vehicle itself, and receiving charging scheduling information formed by the server for processing the charging request based on the charging request, wherein the charging scheduling information includes power supply vehicle information, and the power supply vehicle information is the vehicle information of a target power supply vehicle corresponding to the charging vehicle selected from the power supply vehicle library based on all determined charging costs and all power supply profits;

[0225] N20. Share energy with the target power supply vehicle based on the charging scheduling information, so as to charge the charging vehicle through the target power supply vehicle.

[0226] In an implementation of the embodiment of the present application, before forming a charging request based on the vehicle information of the charging vehicle itself, the method further includes:

[0227] Acquiring remaining power information and auxiliary information of the charging vehicle itself, wherein the auxiliary information is used to reflect the current state of the charging vehicle;

[0228] Determine the time series characteristics of the remaining power information based on the remaining power information and the time series module in the trained travel prediction model;

[0229] Determining a predicted trip corresponding to the remaining power information based on the time series feature, the auxiliary information, and a regression module in the trained trip prediction model;

[0230] When the predicted distance is less than a preset distance threshold, the step of forming a charging request based on the vehicle information of the charging vehicle itself is performed.

[0231] In one implementation of the embodiment of the present application, the auxiliary information includes one or more of driving speed, environmental information and driver information.

[0232] In an implementation of the embodiment of the present application, when the predicted travel distance is less than a preset travel distance threshold, executing the step of forming a charging request based on the vehicle information of the charging vehicle itself specifically includes:

[0233] When the predicted journey is less than a preset journey threshold, query whether there is an available fixed charging device, wherein the distance between the available fixed charging device and the charging vehicle is less than the predicted journey;

[0234] If available fixed charging equipment is found, drive to the fixed charging equipment;

[0235] If no available fixed charging equipment is found, the step of forming a charging request based on the vehicle information of the charging vehicle itself is performed.

[0236] In an implementation of the embodiment of the present application, the charging scheduling information carries a merging address; before the energy is shared with the target power supply vehicle based on the charging scheduling information so as to charge the charging vehicle through the target power supply vehicle, the method further includes:

[0237] Drive to the meeting point;

[0238] Energy sharing is established with the target power supply vehicle at the merging location, so as to charge the charging vehicle through the target power supply vehicle.

[0239] In an implementation of the embodiment of the present application, during the process of energy sharing between the charging vehicle and the target power supply vehicle, the method further includes:

[0240] Determine a tracking trajectory corresponding to the target power supply vehicle, and control the target power supply vehicle to travel according to the tracking trajectory, so that the charging vehicle and the target power supply vehicle travel in a coordinated formation.

[0241] In one implementation of the embodiment of the present application, during the coordinated formation driving process, lateral coordinated driving is performed by a linear quadratic controller, and longitudinal coordinated driving is performed by a PID controller.

[0242] In an implementation of the embodiment of the present application, the energy sharing with the target power supply vehicle based on the charging scheduling information so as to charge the charging vehicle through the target power supply vehicle specifically includes:

[0243] Sending charging request information to the target power supply vehicle;

[0244] Receive microwave energy emitted by a target power-supply vehicle based on the charging request information to establish energy sharing with the target power-supply vehicle so as to charge the charging vehicle through the target power-supply vehicle, wherein the target power-supply vehicle emits microwave energy based on a receiving position of the charging vehicle, and the charging vehicle receives microwave energy from the target power-supply vehicle based on a sending position of the target power-supply vehicle.

[0245] In one implementation of the embodiment of the present application, the charging vehicle communicates directly with the power supply vehicle via vehicle networking communication technology, or the charging vehicle communicates with the power supply vehicle via a road-side communication unit using vehicle networking communication technology.

[0246] In an implementation of the embodiment of the present application, after wireless power supply is established at the merging address according to the power supply vehicle information and the target power supply vehicle corresponding to the power supply vehicle information, the method further includes:

[0247] When charging is completed, obtaining the actual amount of energy, and sending the actual amount of energy to the server;

[0248] Receive the payment request for the energy sharing fee fed back by the server, and respond to the payment request through blockchain technology to complete the settlement of the energy sharing fee.

[0249] In one implementation of the embodiment of the present application, the charging vehicle and the target power supply vehicle are both land vehicles or aircraft.

[0250] It is worth noting that the operating entity of the charging method provided in the embodiment of the present application is the charging vehicle in the energy sharing scheduling method provided in the above embodiment. The specific implementation process of the charging method is the same as the execution process of the charging vehicle in the energy sharing scheduling method, which will not be repeated here. For details, please refer to the description in the energy sharing scheduling method provided in the above embodiment.

[0251] Based on the above charging method, the present application embodiment provides a vehicle, such as Figure 8 As shown, the vehicle includes a second processor and a second memory;

[0252] The second memory stores a computer-readable program executable by the second processor;

[0253] When the second processor executes the computer-readable program, the steps in the charging method described above are implemented.

[0254] Specifically, the second memory 801 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0255] If the second memory 801 and the second processor 802 are implemented independently, the second memory 801 and the second processor 802 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus, or an Extended Industry Standard Architecture (EIS) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 7 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0256] Optionally, in a specific implementation, the server may further include a communication interface, and the communication interface is used to communicate with an external device. Among them, the second memory 801, the second processor 602 and the communication interface may be integrated on a chip, and the second memory 801, the second processor 802 and the communication interface may communicate with each other through an internal interface.

[0257] The second processor 802 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0258] Based on the above-mentioned charging method and the above-mentioned energy sharing scheduling method, an embodiment of the present application provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the above-mentioned energy sharing scheduling method, and / or to implement the steps in the above-mentioned charging method.

[0259] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0260] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0261] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0262] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable storage medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, a "computer-readable storage medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable storage media include the following: an electrical connection with one or N wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable storage medium may even be paper or other suitable medium on which the program is printed, since the program can be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary, and then storing it in a computer memory.

[0263] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0264] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0265] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0266] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

[0267] It should be understood that the application of the present application is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to this application.

Claims

1. An energy sharing scheduling method, characterized in that: The method comprises: receiving a charging request from a charging vehicle, wherein the charging request carries charging vehicle information of the charging vehicle itself; Reading the power supply vehicle information in the power supply vehicle library, and determining the charging cost of the charging vehicle relative to each power supply vehicle, and the power supply profit of each power supply vehicle relative to the charging vehicle based on the charging vehicle information and each power supply vehicle information; Based on all determined charging costs and all determined power supply profits, selecting a target power supply vehicle corresponding to the charging vehicle from the power supply vehicle library; The charging scheduling information is sent to the charging vehicle, and the power supply scheduling information is sent to the target power supply vehicle, so that energy is shared between the charging vehicle and the target power supply vehicle.

2. The energy sharing scheduling method according to claim 1, characterized in that: The charging vehicle information includes the location of the charging vehicle, the amount of energy required, and the charging travel speed; the power supply vehicle information includes the location of the power supply vehicle, the amount of energy supplied, and the power supply travel speed; the determining of the charging cost of the charging vehicle relative to each power supply vehicle and the power supply profit of each power supply vehicle relative to the charging vehicle based on the charging vehicle information and the power supply vehicle information specifically includes: Determine the meeting address corresponding to each power supply vehicle according to the location of the charging vehicle and the locations of each power supply vehicle, and determine the target energy amount corresponding to each power supply vehicle based on the required energy amount and each supplied energy amount; Determining the charging cost of the charging vehicle relative to each power supply vehicle based on the merging address, the target energy amount corresponding to each power supply vehicle, and the charging driving speed; The power supply cost corresponding to each power supply vehicle is determined based on the merging address, the target energy amount corresponding to each power supply vehicle, and the power supply travel speed of each power supply vehicle, and the power supply profit is determined based on the charging cost and the power supply cost.

3. The energy sharing scheduling method according to claim 2 is characterized in that: The charging cost includes the energy acquisition cost of obtaining the supply energy from the power supply vehicle, the charging convergence cost and the charging time cost; the power supply cost includes the original purchase cost of the supply energy, the power supply convergence cost and the power supply time cost.

4. The energy sharing scheduling method according to claim 1 is characterized in that: The selecting a target power supply vehicle corresponding to the charging vehicle in the power supply vehicle library based on all determined charging costs and all power supply profits specifically includes: constructing an objective function based on charging costs and power supply profits; Based on all determined charging costs and all determined power supply profits, a target power supply vehicle corresponding to the charging vehicle is selected from the power supply vehicle library by adopting a greedy algorithm of the objective function.

5. The energy sharing scheduling method according to claim 4 is characterized in that: The step of selecting a target power supply vehicle corresponding to the charging vehicle from the power supply vehicle library by adopting a greedy algorithm of the objective function based on all determined charging costs and all power supply profits specifically includes: Constructing an initial supply relationship matrix based on the charging cost and the power supply profit of each power supply vehicle; The initial supply relationship matrix is ​​used as the supply relationship matrix, and a target data group is selected from the supply relationship matrix with the goal of minimizing the charging cost and making the power supply profit a positive value; adding the target data group to a preset matching set, and deleting the target data group from the supply relationship matrix to update the supply relationship matrix; The updated supply relationship matrix is ​​used as the supply relationship matrix, and the step of selecting the target data group from the supply relationship matrix with the initial supply relationship matrix as the supply relationship matrix with the goal of minimizing the charging cost and making the power supply profit a positive value is continued, until the amount of data of the target data group included in the preset matching set reaches a preset amount; A target data group is selected from the preset matching set, and the power supply vehicle corresponding to the target data group is used as the target power supply vehicle corresponding to the charging vehicle.

6. The energy sharing scheduling method according to claim 1, characterized in that: The generation process of the charging scheduling information specifically includes: Obtaining a meeting address of the charging vehicle and the target power supply vehicle; Acquiring charging road condition information from the charging vehicle to the merging address, and determining a predicted charging driving speed based on the charging road condition information; Charging schedule information is generated based on the merging address, the predicted power supply travel speed, and power supply vehicle information of the target power supply vehicle, and the charging schedule information is sent to the charging vehicle.

7. The energy sharing scheduling method according to claim 1, characterized in that: The generation process of the power supply scheduling information specifically includes: Obtaining a meeting address of the charging vehicle and the target power supply vehicle; Acquire power supply road condition information from the target power supply vehicle to the merging address; and determine a predicted power supply driving speed based on the power supply road condition information; Power supply scheduling information is generated based on the merging address, the predicted power supply travel speed, and the power supply vehicle information of the target power supply vehicle, and the power supply scheduling information is sent to the target power supply vehicle.

8. The energy sharing scheduling method according to claim 1, characterized in that: The sending of charging scheduling information to the charging vehicle and the sending of power supply scheduling information to the target power supply vehicle so as to enable energy sharing between the charging vehicle and the target power supply vehicle specifically includes: Sending power supply scheduling information to the target power supply vehicle so that the target power supply vehicle transmits microwave energy based on the receiving position of the charging vehicle; The charging scheduling information is sent to the charging vehicle so that the charging vehicle receives microwave energy based on the sending position of the target power supply vehicle, thereby realizing energy sharing between the charging vehicle and the target power supply vehicle.

9. The energy sharing scheduling method according to claim 1, characterized in that: After sending the charging scheduling information to the charging vehicle and sending the power supply scheduling information to the target power supply vehicle so that the charging vehicle and the target power supply vehicle share energy, the method further includes: When the charging vehicle and the target power supply vehicle complete energy sharing, receiving the actual amount of energy sent by the charging vehicle, and generating a payment request based on the actual amount of energy; The energy sharing fee is shared with the charging vehicle and the target power supply vehicle through blockchain technology to complete the settlement of the energy sharing fee.

10. The energy sharing scheduling method according to any one of claims 1 to 9, characterized in that: The charging vehicle and the target power supply vehicle are both land vehicles or aircraft.

11. A server, characterized in that: include: a first processor and a first memory; The first memory stores a computer-readable program executable by the first processor; When the first processor executes the computer-readable program, the steps in the energy sharing scheduling method according to any one of claims 1 to 10 are implemented.

12. A charging method, characterized in that: The method comprises: A charging request is formed based on the vehicle information of the charging vehicle itself, and charging scheduling information formed by a server for processing the charging request based on the charging request is received, wherein the charging scheduling information includes power supply vehicle information, and the power supply vehicle information is the vehicle information of a target power supply vehicle corresponding to the charging vehicle selected from the power supply vehicle library based on all determined charging costs and all power supply profits; Energy is shared with the target power supply vehicle based on the charging scheduling information, so that the charging vehicle is charged by the target power supply vehicle.

13. The charging method according to claim 12, characterized in that: Before forming a charging request based on the vehicle information of the charging vehicle itself, the method further includes: Acquiring remaining power information and auxiliary information of the charging vehicle itself, wherein the auxiliary information is used to reflect the current state of the charging vehicle; Determine the time series characteristics of the remaining power information based on the remaining power information and the time series module in the trained travel prediction model; Determine a predicted trip corresponding to the remaining power information based on the time series feature, the auxiliary information, and a regression module in the trained trip prediction model; When the predicted distance is less than a preset distance threshold, the step of forming a charging request based on the vehicle information of the charging vehicle itself is performed.

14. The charging method according to claim 13, characterized in that: The auxiliary information includes one or more of driving speed, environmental information and driver information.

15. The charging method according to claim 13, characterized in that: When the predicted travel distance is less than the preset travel distance threshold, the step of forming a charging request based on the vehicle information of the charging vehicle itself specifically includes: When the predicted journey is less than a preset journey threshold, query whether there is an available fixed charging device, wherein the distance between the available fixed charging device and the charging vehicle is less than the predicted journey; If available fixed charging equipment is found, drive to the fixed charging equipment; If no available fixed charging equipment is found, the step of forming a charging request based on the vehicle information of the charging vehicle itself is performed.

16. The charging method according to claim 12, characterized in that: The charging scheduling information carries a merging address; before sharing energy with the target power supply vehicle based on the charging scheduling information so as to charge the charging vehicle through the target power supply vehicle, the method further includes: Drive to the meeting point; Energy sharing is established with the target power supply vehicle at the merging location, so as to charge the charging vehicle through the target power supply vehicle.

17. The charging method according to claim 12, characterized in that: During the process of energy sharing between the charging vehicle and the target power supply vehicle, the method further includes: Determine a tracking trajectory corresponding to the target power supply vehicle, and control the target power supply vehicle to travel according to the tracking trajectory, so that the charging vehicle and the target power supply vehicle travel in a coordinated formation.

18. The charging method according to claim 12, characterized in that: The step of sharing energy with the target power supply vehicle based on the charging scheduling information so as to charge the charging vehicle through the target power supply vehicle specifically includes: Sending charging request information to the target power supply vehicle; Receive microwave energy emitted by a target power-supply vehicle based on the charging request information to establish energy sharing with the target power-supply vehicle so as to charge the charging vehicle through the target power-supply vehicle, wherein the target power-supply vehicle emits microwave energy based on a receiving position of the charging vehicle, and the charging vehicle receives microwave energy from the target power-supply vehicle based on a sending position of the target power-supply vehicle.

19. The charging method according to claim 12, characterized in that: After sharing energy with the target power supply vehicle based on the charging scheduling information so as to charge the charging vehicle through the target power supply vehicle, the method further includes: When charging is completed, obtaining the actual amount of energy, and sending the actual amount of energy to the server; Receive the payment request for the energy sharing fee fed back by the server, and respond to the payment request through blockchain technology to complete the settlement of the energy sharing fee.

20. The charging method according to any one of claims 12 to 19, characterized in that: The charging vehicle and the target power supply vehicle are both land vehicles or aircraft.

21. A means of transport, characterized in that: The vehicle includes a second processor and a second memory; The second memory stores a computer-readable program executable by the second processor; When the second processor executes the computer-readable program, the steps of the charging method according to any one of claims 12 to 20 are implemented.

22. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the energy sharing scheduling method as described in any one of claims 1-10, and / or to implement the steps in the charging method as described in any one of claims 12-20.

Citation Information

Patent Citations

  • Reservation charging method and device based on unmanned aerial vehicle

    CN108229708A

  • Scheduling system for providing charging service for electric vehicle

    CN110110993A

  • Vehicle electric energy transaction method and platform, electronic equipment and storage medium

    CN115169924A

  • Electric vehicle distribution path planning method and system based on mobile charging

    CN115358471A

  • Method for automatically requesting a charging vehicle for battery-electric vehicles to minimize downtime due to low battery charge

    DE102017216478A1