An energy sharing and dispatching method, a charging method, a vehicle, and a server.

Abstract

This application discloses an energy sharing scheduling method, a charging method, a vehicle, and a server. The method includes: receiving a charging request from a charging vehicle; reading information about power supply vehicles from a power supply vehicle database, 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 the information of each power supply vehicle; determining a target power supply vehicle based on all determined charging costs and all power supply profits; so that energy sharing can be achieved between the charging vehicle and the target power supply vehicle. The embodiments of this application enable charging vehicles to find power supply vehicles at low charging costs, while ensuring that power supply vehicles can obtain power supply profits, thereby improving the matching speed between charging and power supply vehicles and increasing energy sharing efficiency.

Description

Technical Field

[0001] This 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 Technology

[0002] With accelerating urbanization and ever-increasing transportation demands, urban traffic congestion is worsening, drawing attention to electric aircraft. While electric aircraft offer advantages such as speed and convenience as an emerging mode of transportation, they also suffer from high energy consumption, exacerbating the charging difficulties. Although charging stations have been included in the national infrastructure development plan, in reality, electric aircraft, especially when traveling on highways or in remote areas, still face charging challenges due to distance from charging stations or the inability to find them. Summary of the Invention

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

[0004] A first aspect of this application provides an energy sharing and scheduling method, the method comprising:

[0005] Receive a charging request from a charging vehicle, wherein the charging request carries the charging vehicle's own charging vehicle information;

[0006] Read the information of powered vehicles in the powered vehicle library, and determine the charging cost of the charging vehicle relative to each powered vehicle, and the power supply profit of each powered vehicle relative to the charging vehicle, based on the charging vehicle information and the information of each powered vehicle.

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

[0008] The charging vehicle sends charging scheduling information and the target power supply vehicle sends power supply scheduling information to enable energy sharing between the charging vehicle and the target power supply vehicle.

[0009] Based on the above-mentioned technical means, after receiving a charging request, this embodiment of the application selects a target power supply vehicle from the power supply vehicle set with the goal of charging cost and power supply profit, and controls the charging vehicle to share energy with the target power supply vehicle. In this way, with the goal of charging cost and power supply profit, the charging vehicle can find the power supply vehicle at a low charging cost, while ensuring 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.

[0010] Optionally, the charging vehicle information includes the charging vehicle's location, required energy quantity, and charging speed; the power supply vehicle information includes the power supply vehicle's location, supplied energy quantity, and power supply speed. The step of 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 the power supply vehicle information, specifically includes:

[0011] The meeting address corresponding to each power supply vehicle is determined based on the location of the charging vehicle and the location of each power supply vehicle, and the target energy amount corresponding to each power supply vehicle is determined based on the energy demand and the energy supply amount.

[0012] Based on the meeting address, the target energy amount corresponding to each powered vehicle, and the charging speed, the charging cost of the powered vehicle relative to each powered vehicle is determined.

[0013] Based on the convergence address, the target energy amount corresponding to each powered vehicle, and the powered driving speed of each powered vehicle, the power supply cost corresponding to each powered vehicle is determined, and the power supply profit is determined based on the charging cost and the power supply cost.

[0014] Based on the above technical means, the embodiments of this application determine the charging cost based on the meeting address, the target energy amount corresponding to each power supply vehicle, and the charging driving speed, and determine the power supply profit based on the meeting address, the target energy amount corresponding to each power supply vehicle, and the power supply driving speed of each power supply vehicle, which can improve the accuracy of charging cost and power supply profit.

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

[0016] Based on the above-mentioned technical means, the embodiments of this 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, selecting the target powered vehicle corresponding to the charging vehicle from the powered vehicle library based on all determined charging costs and all power supply profits specifically includes:

[0018] Construct an objective function using charging costs and power supply profits;

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

[0020] Based on the above technical means, this application embodiment uses a greedy algorithm to select the target power supply vehicle corresponding to the charging vehicle from 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 step of selecting the target power supply vehicle corresponding to the charging vehicle from the power supply vehicle library using a greedy algorithm with the objective function, based on all determined charging costs and all power supply profits, specifically includes:

[0022] An initial supply relationship matrix is ​​constructed based on the charging cost and the power supply profit of each powered vehicle.

[0023] Using the initial supply relationship matrix as the supply relationship matrix, target data groups are selected from the supply relationship matrix with the goal of minimizing charging costs and achieving positive power supply profits.

[0024] The target data group is added to a preset matching set, and the target data group is deleted 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 process of selecting target data groups in the supply relationship matrix with the goal of minimizing charging costs and making power supply profits positive is continued until the amount of data in the target data groups included in the preset matching set reaches the preset number.

[0026] Select a target data group from the preset matching set, and use the power supply vehicle corresponding to the target data group as the target power supply vehicle corresponding to the charging vehicle.

[0027] Based on the above-mentioned technical means, the embodiments of this 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 accuracy of energy-sharing vehicles.

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

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

[0030] Obtain charging traffic information from the charging vehicle to the meeting point, and determine the predicted charging speed based on the charging traffic information;

[0031] Based on the meeting address, predicted power supply speed, and power supply vehicle information of the target power supply vehicle, charging scheduling information is generated and sent to the charging vehicle.

[0032] Based on the above-mentioned technical means, the embodiments of this 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 point 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] Obtain the meeting address of the charging vehicle and the target power supply vehicle;

[0035] Obtain power supply information from the target powered vehicle to the meeting point; and determine the predicted powered travel speed based on the power supply information;

[0036] Power supply scheduling information is generated based on the rendezvous address, predicted power supply speed, and 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] Based on the above technical means, the embodiments of this 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 point synchronously, reducing the waiting time between the charging vehicle and the target power supply vehicle.

[0038] Optionally, sending charging scheduling information to the charging vehicle and sending 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] Power supply scheduling information is sent to the target powered vehicle so that the target powered vehicle emits microwave energy based on the receiving location of the charging vehicle;

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

[0041] Based on the above-mentioned technical means, the embodiments of this application can ensure the energy sharing efficiency between the charging vehicle and the target power supply vehicle by controlling the charging vehicle and the power supply vehicle and by sharing energy through microwave energy.

[0042] Optionally, after sending charging scheduling information to the charging vehicle and power supply scheduling information to the target power supply vehicle to enable energy sharing between the charging vehicle and the target power supply vehicle, the method further includes:

[0043] After the charging vehicle and the target power supply vehicle complete energy sharing, the actual amount of energy sent by the charging vehicle is received, and a payment request is generated 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] Based on the above-mentioned technical means, the embodiments of this application can ensure the security of energy sharing fee payments, giving users a sense of security.

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

[0047] Based on the above technical means, the embodiments of this application fully consider energy sharing between land vehicles, between land vehicles and aircraft, and between aircraft, thereby improving the application scope of the energy sharing scheduling method provided by the embodiments of this application.

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

[0049] The first memory stores a computer-readable program that can be executed by the first processor;

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

[0051] A third aspect of this 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 the server that processes the charging request receives charging scheduling information formed based on the charging request. The charging scheduling information includes power supply vehicle information, which is the vehicle information of the 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] Based on the charging scheduling information, energy is shared with the target powered vehicle to charge the charging vehicle through the target powered vehicle.

[0054] Based on the above technical means, in this embodiment of the application, when charging is required, a charging request is formed based on its own display information. Then, the server selects the vehicle information of the target power supply vehicle corresponding to the charging vehicle from the power supply vehicle library according to the determined total charging costs and total power supply profits. This allows the charging vehicle to find the power supply vehicle at a low charging cost, while also ensuring that the power supply vehicle can obtain power supply profits. This improves the matching speed between charging and power supply vehicles and enhances energy sharing efficiency.

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

[0056] The remaining battery power information and auxiliary information of the charging vehicle are obtained, wherein the auxiliary information is used to reflect the current status of the charging vehicle;

[0057] Based on the remaining battery power information and the time-series module in the trained trip prediction model, the temporal characteristics of the remaining battery power information are determined.

[0058] Based on the time-series features, the auxiliary information, and the regression module in the trained trip prediction model, the predicted trip corresponding to the remaining battery power information is determined.

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

[0060] Based on the above technical means, the embodiments of this application can accurately predict the predicted trip corresponding to the remaining power information through a trained trip prediction model, and the accuracy of the predicted trip can be further improved by adding auxiliary information, thereby ensuring the rationality of forming a charging request.

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

[0062] Based on the above-mentioned technical means, the embodiments of this application can further improve the accuracy of trip prediction by employing a variety of auxiliary information.

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

[0064] When the predicted distance is less than a preset distance 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 distance;

[0065] If a fixed charging station is found, drive to the fixed charging station;

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

[0067] Based on the above technical means, this application embodiment can enable charging vehicles to be charged in the way with the lowest charging cost by checking fixed charging equipment, thereby reducing the cost of using electric vehicles.

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

[0069] Drive to the meeting point;

[0070] Energy sharing is established at the meeting point with the target powered vehicle to charge the charging vehicle via the target powered vehicle.

[0071] Based on the above technical means, the embodiments of this application can ensure the success rate of energy sharing between the charging vehicle and the target powered vehicle by establishing energy sharing at the meeting point and the target powered vehicle.

[0072] Optionally, during the energy sharing process between the charging vehicle and the target powered vehicle, the method further includes:

[0073] The tracking trajectory corresponding to the target power supply vehicle is determined, and the target power supply vehicle is controlled to travel according to the tracking trajectory so that the charging vehicle and the target power supply vehicle can travel in coordinated formation.

[0074] Based on the above-mentioned technical means, the embodiments of this application can ensure the success rate of energy sharing between the charging vehicles and the target power supply vehicles by coordinating their platooning, and can also ensure that the power supply vehicles and the target power supply vehicles maintain a certain safe distance, thereby improving the driving safety of the charging vehicles and the target power supply vehicles during the energy sharing process.

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

[0076] Send a charging request message to the target powered vehicle;

[0077] The vehicle receives microwave energy emitted by the target powered vehicle based on the charging request information to establish energy sharing with the target powered vehicle, so as to charge the charging vehicle through the target powered vehicle. The target powered vehicle emits microwave energy based on the receiving position of the charging vehicle, and the charging vehicle receives microwave energy received by the target powered vehicle based on the sending position of the target powered vehicle.

[0078] Based on the above technical means, the embodiments of this 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 rendezvous address.

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

[0080] Once charging is complete, the actual amount of energy is obtained and sent to the server.

[0081] The system receives payment requests for energy sharing fees from the server and responds to these requests using blockchain technology to complete the settlement of the energy sharing fees.

[0082] Based on the above-mentioned technical means, the embodiments of this application can ensure the security of energy sharing fee payments, giving users a sense of security.

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

[0084] Based on the above-mentioned technical means, the embodiments of this application fully consider energy sharing between land vehicles, between land vehicles and aircraft, and between aircraft, thereby increasing the range of shared energy that charging vehicles can obtain.

[0085] A fourth aspect of this application provides a means of transportation, the means of transportation including a second processor and a second memory;

[0086] The second memory stores a computer-readable program that can be executed by the second processor;

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

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

[0089] The beneficial effects of this application are:

[0090] (1) In this embodiment of the application, after receiving a charging request, a target power supply vehicle is selected from the power supply vehicle set with the goal of charging cost and power supply profit, and energy sharing is controlled between the charging vehicle and the target power supply vehicle. In this way, with the goal of charging cost and power supply profit, the charging vehicle can find the power supply vehicle at a low charging cost, while ensuring 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 embodiments of this application determine the charging cost based on the meeting address, the target energy amount corresponding to each power supply vehicle and the charging driving speed, and determine the power supply profit based on the meeting address, the target energy amount corresponding to each power supply vehicle and the power supply driving speed of each power supply vehicle, which can improve the accuracy of charging cost and power supply profit.

[0092] (3) In this embodiment of the application, the target power supply vehicle corresponding to the charging vehicle is selected from the power supply vehicle library by using a greedy algorithm. This 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 this application can ensure the security of energy sharing fee payment and bring users a sense of security.

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

[0095] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0096] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0097] Figure 1 This is a schematic diagram illustrating an application scenario of the energy sharing scheduling method provided in the embodiments of this application;

[0098] Figure 2 This is a flowchart of the energy sharing scheduling method provided in the embodiments of this application;

[0099] Figure 3 This is a schematic diagram of the communication framework in the energy sharing scheduling method provided in the embodiments of this application;

[0100] Figure 4 This is a flowchart illustrating the energy sharing process between a charging vehicle and a target power supply vehicle in the energy sharing scheduling method provided in this application embodiment;

[0101] Figure 5 This is a flowchart illustrating the payment process in the energy sharing and scheduling method provided in this application embodiment;

[0102] Figure 6 This is a schematic diagram of the server structure provided in the embodiments of this application;

[0103] Figure 7 This is a flowchart of the charging method provided in the embodiments of this application;

[0104] Figure 8 This is a schematic diagram of the structure of the vehicle provided in the embodiments of this application. Detailed Implementation

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

[0106] The energy sharing scheduling method, charging method, vehicle, and server of embodiments of this application are described below with reference to the accompanying drawings. With the acceleration of urbanization and the continuous growth of transportation demand, land transportation modes are facing numerous challenges, such as traffic congestion. Electric aircraft, as an emerging mode of transportation, have attracted widespread attention due to their speed and convenience. However, electric aircraft also have some problems, such as high energy consumption and airspace management, which inevitably exacerbates the difficulty of charging electric vehicles. Although charging piles have been included in the new infrastructure and become a key part of national infrastructure construction, in reality, during the use of electric aircraft, especially when traveling on highways or in remote areas, charging difficulties will still occur due to the distance to charging piles or the inability to find charging piles.

[0107] To address this technical challenge, energy sharing between aircraft and land vehicles can be implemented to achieve complementary advantages, improve traffic efficiency, reduce energy consumption, and promote sustainable development. However, energy sharing between aircraft and land vehicles, and between aircraft and land vehicles, requires scheduling of the vehicles involved. Existing wireless charging methods do not consider energy sharing between aircraft or between aircraft and land vehicles, and they determine the charging vehicles solely based on the distance between the target vehicles, which impacts the cost of energy sharing.

[0108] Based on this, in this embodiment of the application, a charging request from a charging vehicle is received, wherein the charging request carries the charging vehicle's own charging vehicle information; the power supply vehicle information in the power supply vehicle database is read, and based on the charging vehicle information and the power supply vehicle information, 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 determined charging costs and all power supply profits, a target power supply vehicle corresponding to the charging vehicle is selected from the power supply vehicle database; 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 sharing can be achieved between the charging vehicle and the target power supply vehicle. Upon receiving a charging request, this embodiment selects a target power-supplying vehicle from a pool of power-supplying vehicles, aiming at both charging cost and power supply profit. It then controls energy sharing between the charging vehicle and the target power-supplying vehicle. By prioritizing both charging cost and power supply profit, the charging vehicle can find a power-supplying vehicle at a low charging cost, while ensuring that the power-supplying vehicle can obtain a power supply profit. This improves the matching speed between the charging and power-supplying vehicles and enhances energy sharing efficiency.

[0109] The energy-sharing scheduling method provided in this application can be applied to land vehicles and land vehicles, land vehicles and aircraft, and aircraft and aircraft, wherein the aircraft can be flying cars, small drones, etc. Here, we will use a flying car as an example to illustrate the specific application scenario of the energy-sharing scheduling method provided in this application.

[0110] Figure 1 This is a schematic diagram illustrating an application scenario of the energy sharing scheduling method provided in an embodiment of this application. For example... Figure 1As shown, this application scenario includes four vehicles: a power-supplying land vehicle 110, a power-supplying flying car 112, a charging flying car 111, and a charging land vehicle 140. Power-supplying land vehicle 110 and power-supplying flying car 112 can provide shared energy, while charging flying car 111 and charging land vehicle 140 need to share vehicles. The server, used to execute the energy-sharing scheduling method provided in this embodiment, can receive charging requests from charging flying car 111 and charging land vehicle 140. Then, based on the charging flying car 111 and charging land vehicle 140, it determines target power-supplying vehicles for charging flying car 111 and charging land vehicle 140 from among the power-supplying land vehicles 110 and power-supplying flying car 112 that can provide shared energy. The server then controls power-supplying land vehicles 110 and power-supplying flying car 112 to wirelessly charge their respective target power-supplying vehicles. When determining target power-supplying vehicles for charging flying car 111 and charging land vehicle 140, the target power-supplying vehicle is selected from the power-supplying vehicle library based on charging cost and power supply profit.

[0111] Figure 2 A flowchart of an energy sharing scheduling method is provided for an embodiment of this application. For example... Figure 2 As shown, the energy sharing and scheduling method specifically includes:

[0112] S10, Receive charging requests from charging vehicles.

[0113] Specifically, the charging request is sent by the charging vehicle to request a server to match it with a target power supply vehicle. The server can be a backend server connected to the charging vehicle, or a cloud device accessible to the charging vehicle. In a typical implementation of this application, the server is a cloud device. That is, the charging vehicle generates and sends a charging request based on its own charging vehicle information; the cloud device receives the charging request sent by the charging vehicle. The cloud device can be an edge computing cloud platform, a computing power sharing cloud platform, or any other cloud platform that can provide computing. Furthermore, the cloud device has storage capabilities, recording information about the vehicle sending the charging request and information about vehicles willing to share energy, facilitating subsequent retrieval when determining the target power supply vehicle. In addition, the charging vehicle can directly send the charging request to the cloud device via the network, or it can use its onboard unit (OBU) and roadside unit (RSU) to achieve V2V or V2I data transmission with the cloud device.

[0114] Charging vehicles can be land-based vehicles or aircraft, including flying cars, small drones, and so on. For example, Figure 1 As shown, charging vehicles can provide Figure 1 The charging flying car 111 in the example can also be a charging land vehicle 140. The charging vehicle information is the charging vehicle's own information, which may include the charging vehicle's location, required energy quantity, and charging speed. Of course, in practical applications, the charging vehicle information may also include vehicle identification, trajectory information, and inflation request information, etc., which will not be elaborated here. Furthermore, to obtain the charging vehicle information, the charging vehicle is equipped with management equipment and an information collection device. The information collection device collects the charging vehicle information and transmits the collected information to the management equipment. The management equipment 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 this application embodiment, the information collection device may include a vehicle-mounted inertial navigation sensor, wheel speed sensors, and a battery management system. The vehicle-mounted inertial navigation sensor is used to collect position information, the wheel speed sensors are used to collect driving speed, and the battery management system is used to collect vehicle battery level information.

[0115] Furthermore, the charging request can be generated by the charging vehicle based on user operation, or it can be automatically generated based on preset conditions. These preset conditions can be that the remaining battery power reaches a remaining battery power threshold, the remaining battery power corresponds to a preset mileage threshold, or the charging vehicle's travel time reaches a preset time threshold, etc. In one implementation of this application embodiment, the charging request is automatically generated, and its generation process can include:

[0116] S01. Obtain the remaining battery power information and auxiliary information of the charging vehicle itself;

[0117] S02. Based on the remaining battery power information and the time-series module in the trained trip prediction model, determine the time-series characteristics of the remaining battery power information;

[0118] S03. Based on the time-series features, the auxiliary information, and the regression module in the trained trip prediction model, determine the predicted trip corresponding to the remaining battery power information;

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

[0120] Specifically, in step S01, the remaining battery power information reflects the remaining battery power of the charging vehicle, and the auxiliary information reflects the current state of the charging vehicle. The remaining battery power information can be obtained through the battery management system configured on the charging vehicle itself. The auxiliary information can be based on prior knowledge formed from historical information, or it can be real-time information collected by the sensing devices installed on the charging vehicle. In this embodiment, the auxiliary information is real-time information collected by the sensing devices installed on the charging vehicle. The auxiliary information may include one or more of the following: driving speed, environmental information, and driver information. The driving speed can be obtained by the wheel speed sensor installed on the charging vehicle; the environmental information can be obtained by the temperature sensor of the charging vehicle; and the driver information can be obtained by selecting a driver image from a preset information database obtained by the image acquisition device of the charging vehicle. The driver information may include the driver's driving habits, etc. Of course, in practical applications, the auxiliary information can also be obtained in other ways, which will not be described in detail here.

[0121] In steps S02 and S03, the trip prediction model is a neural network model trained on a preset training dataset. The training dataset may include several training data sets, each of which includes training remaining battery information, training auxiliary information, and the ground truth value of the trip corresponding to the training remaining battery information. After training using the training dataset, the trip prediction model can predict the drivable distance of the charging vehicle based on the remaining battery information and the auxiliary information, thus obtaining the predicted trip corresponding to the remaining battery information and the auxiliary information. In this embodiment, the several training data sets in the training dataset can be obtained by collecting historical driving data of the vehicle.

[0122] Furthermore, the trip prediction model can employ deep learning models or CNN models, etc. In this embodiment, the trip prediction model includes a time-series module and a regression module. The time-series module is used to extract the temporal features of remaining battery power information, and the regression module is used to determine the predicted trip based on the temporal features and auxiliary information. The time-series module can employ a Long Short-Term Memory (LSTM) network to capture the trend and periodicity between remaining battery power information and drivable distance, thus accurately obtaining the temporal features reflecting the relationship between remaining battery power and drivable distance. The regression module can employ a regression model, which determines the predicted trip by comprehensively considering the temporal features and auxiliary information. This embodiment uses an artificial intelligence model to track the energy usage of electric vehicles, accurately obtaining the drivable distance of the battery vehicle's remaining battery power information, thereby improving the accuracy of charging request generation. In addition, this application further enhances the accuracy of remaining battery power information by adding auxiliary information during the process of determining the predicted trip using the artificial intelligence model.

[0123] In step S04, the preset travel threshold is pre-set and serves as the basis for determining whether a charging request is automatically generated. Specifically, when the predicted travel distance is greater than or equal to the preset travel threshold, the vehicle does not automatically generate a charging request; when the predicted travel distance is less than the preset travel threshold, the vehicle automatically generates a charging request. Furthermore, in practical applications, to improve the flexibility of charging request generation, two travel thresholds can be pre-set, denoted as the first travel threshold and the second travel threshold, respectively. The first travel threshold is greater than the second travel threshold. When the predicted travel distance is less than the first travel threshold but greater than or equal to the second travel threshold, a charging request prompt can be generated and displayed to the user. The system also receives feedback from the user based on this extracted information. When the control command corresponding to the feedback operation is to generate a charging request, a charging request is generated based on the vehicle information. When the control command corresponding to the feedback operation is not to generate a charging request, the system monitors the sending interval of the prompt information. When the sending interval reaches a preset time interval, the operation of generating a charging request prompt is re-executed. Further, when the predicted travel distance is less than the second travel threshold, the vehicle automatically generates a charging request and generates a notification message to inform the user.

[0124] The above completes the explanation of the charging request generation process. However, when a charging vehicle needs to be charged, it can be charged wirelessly through energy sharing or through a fixed charging station. When choosing between wireless and fixed charging, fixed charging can be the preferred method, or a fixed charging device can be added to the power supply vehicle library.

[0125] In one implementation of this application, the step of forming a charging request based on the vehicle information of the charging vehicle itself when the predicted trip is less than a preset trip threshold specifically includes:

[0126] When the predicted travel distance is less than a preset travel threshold, check if there is an available fixed charging device.

[0127] If a fixed charging station is found, drive to the fixed charging station;

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

[0129] Specifically, the distance between the available fixed charging device and the charging vehicle is less than the predicted distance, meaning the remaining battery power of the charging vehicle can support its journey to the location of the fixed charging device. If an available fixed charging device is found, it means the charging vehicle can be charged using that device; conversely, if no available fixed charging device is found, it means the charging vehicle cannot be charged using it, and in this case, the step of generating a charging request based on the vehicle's own information is executed. Of course, in practical applications, to reduce charging costs, a charging request can be generated when an available fixed charging device is found, and the found device can be considered as a potential power source, with the charging cost calculated. After obtaining the charging costs of each power source vehicle, the charging cost of the fixed charging device can be directly compared with the charging costs of each power source vehicle. If the charging cost of the fixed charging device is less than the charging cost of each power source vehicle, the fixed charging device is selected as the target charging device, and the charging vehicle is controlled to travel to it. Furthermore, after obtaining the charging cost of each powered vehicle, a target powered vehicle can be selected from among them. Then, the charging cost of the target powered vehicle is compared with the charging cost of available fixed charging equipment. When the charging cost of available fixed charging equipment is less than or equal to the charging cost of the target powered vehicle, the powered vehicle is controlled to drive to the fixed charging equipment. Conversely, when the charging cost of available fixed charging equipment is greater than the charging cost of the target powered vehicle, the target powered vehicle is used for wireless charging.

[0130] S20. Read the information of powered vehicles in the powered vehicle library, and determine the charging cost of the charging vehicle relative to each powered vehicle, and the power supply profit of each powered vehicle relative to the charging vehicle, based on the charging vehicle information and the information of each powered vehicle.

[0131] Specifically, the powered vehicle library is pre-established to store information on powered vehicles that can enhance energy sharing. In other words, the library stores information on several powered vehicles, and each vehicle listed can provide shared energy to other vehicles. These powered vehicles can be land vehicles, flying cars, small drones, and other electric vehicles, for example... Figure 1 As shown, one of the power-supplying vehicle information items is the vehicle information of the power-supplying land vehicle 110, and another is the vehicle information of the power-supplying flying car 112. The power-supplying vehicle information may include the vehicle's location, the amount of energy supplied, and its power-supplying speed. It may also include vehicle identification, energy-sharing willingness, and trajectory information. Furthermore, to obtain the power-supplying vehicle information, the power-supplying vehicle also includes management equipment and information collection devices. The management equipment and information collection devices have the same function and purpose as those for the charging vehicle device, and will not be elaborated further here; the description of the charging vehicle can be used for details.

[0132] Furthermore, after reading the information of the powered vehicles in the powered vehicle database, a preliminary screening of the powered vehicles in the database can be performed based on the location information between the powered vehicles and the charging vehicles. Then, based on the determined total charging costs and total power supply profits, a target powered vehicle corresponding to the charging vehicle can be selected from the database. This reduces the computational workload of selecting the target powered vehicle based on the determined total charging costs and total power supply profits, thereby improving the speed of determining the target powered vehicle. The preliminary screening of the powered vehicles in the database based on the location information between the powered vehicles and the charging vehicles can be as follows: First, calculate the distance between the charging vehicle and each powered vehicle based on the vehicle location in the charging vehicle information and the vehicle location in the powered vehicle information. If the distance is greater than the travel distance corresponding to the remaining battery power of the charging vehicle, the powered vehicle information corresponding to that distance is discarded; or, if the distance is less than the device distance between the charging vehicle and an available fixed charging device, the powered vehicle information corresponding to that distance is discarded, and so on. Of course, in practical applications, other methods can be used for preliminary screening. For example, a vehicle distance threshold can be preset. When the vehicle distance is greater than the vehicle distance threshold, the information of the powered vehicle corresponding to that distance can be discarded. The vehicle distance threshold can be determined based on the driving range corresponding to the remaining power information. For example, the vehicle distance threshold is half of the driving range corresponding to the remaining power information.

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

[0134] S21. Determine the meeting address corresponding to each power supply vehicle based on the location of the charging vehicle and the location of each power supply vehicle, and determine the target energy amount corresponding to each power supply vehicle based on the required energy amount and the supplied energy amount.

[0135] S22. Based on the meeting address, the target energy amount corresponding to each powered vehicle, and the charging driving speed, determine the charging cost of the powered vehicle relative to each powered vehicle.

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

[0137] Specifically, in step S21, the meeting address is determined based on the location of the charging vehicle and the power supply vehicle, and is used to determine the meeting point of the power supply vehicle and the charging vehicle. In other words, the meeting address is the address of the meeting point between the power supply vehicle and the charging vehicle. For example, as... Figure 1 As shown, the address of meeting point 131 is the rendezvous address of the powered flying car 112 and the charging flying car 111. When determining the rendezvous address based on the locations of the charging and powered vehicles, the rendezvous point can be selected directly as the midpoint between the two vehicles. Alternatively, the closest point reachable by both vehicles can be chosen. Furthermore, the locations of the powered and charged vehicles can be input into a pre-trained neural network model for determining the rendezvous address, and the result is obtained through the output of this model. Of course, other methods can be used to determine the rendezvous address in practical applications, which will not be elaborated upon here.

[0138] The target energy quantity is the amount of energy that can be shared between powered and charged vehicles. This target energy quantity can be the smaller of the demand and supply energy quantities. For example, if the demand energy quantity is less than the supply energy quantity, the target energy quantity can be the demand energy quantity; conversely, if the supply energy quantity is less than the demand energy quantity, the target energy quantity can be the supply energy quantity, and so on. Of course, in practical applications, the target energy quantity can also be determined in other ways. For instance, when the demand energy quantity is less than the supply energy quantity, the target energy quantity can be the smaller of the demand energy quantity, the energy required for the charged vehicle to travel to the meeting point, and the supply energy quantity.

[0139] Furthermore, in steps S22 and S23, the charging cost may include energy acquisition cost, charging convergence cost, and charging time cost. The energy acquisition cost reflects the cost required to acquire the target amount of energy; the charging convergence cost reflects the energy cost incurred by the charging vehicle to travel to the convergence address; and the charging time cost reflects the time required for the charging vehicle to participate in the energy sharing process. The power supply profit can be determined based on the charging cost and the power supply cost. The power supply cost includes the original purchase cost of the supplied energy, the power convergence cost, and the power supply time cost. The original purchase cost is the cost incurred by the charging vehicle to purchase the target amount of energy; the power convergence cost reflects the energy cost incurred by the charging vehicle to travel to the convergence address; and the power supply time cost reflects the time required for the charging vehicle to participate in the energy sharing process.

[0140] In this embodiment of the application, the energy acquisition cost is calculated based on the target energy quantity and the energy trading unit price, wherein the energy acquisition cost... The calculation formula can be:

[0141]

[0142] Among them, Pr p Indicates the unit price of energy trading, a C This indicates the target energy quantity.

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

[0144]

[0145] Where Pr0 represents the unit price of the energy carried by the vehicle itself. λ represents the rendezvous distance between the charging vehicle and the rendezvous address. C This indicates the amount of energy required per kilometer for a charging vehicle.

[0146] Charging time cost includes travel time, charging time, and charging waiting time. Travel time reflects the time required for the charging vehicle to travel to the rendezvous point, and can be expressed as... Charging time is the time required for energy exchange, which can be expressed as: Charging wait time is the time required for a vehicle to reach the rendezvous point while waiting for power to be supplied; it can be expressed as... Accordingly, the formula for calculating charging time cost can be:

[0147]

[0148] Among them, v C η 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 an electrically powered vehicle is calculated based on the target energy quantity and the unit price of the energy carried by the vehicle itself. The original purchase cost (OE) of the electrically powered vehicle is... p The calculation formula can be:

[0150]

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

[0152]

[0153] Where Pr0 represents the unit price of the energy carried by the vehicle itself. λ represents the rendezvous distance between the power supply vehicle and the rendezvous address. P This indicates the amount of energy required per kilometer to power a vehicle.

[0154] The time cost of power supply includes travel time, power supply time, and power supply waiting time. Travel time reflects the time required for the power supply vehicle to travel to the rendezvous point, and can be expressed as... Power supply time is the time required for energy exchange. Power supply time and charging time are the same and can both be expressed as... The power supply waiting time is the time required for the waiting charging vehicle to reach the rendezvous point, which can be expressed as: Accordingly, charging time cost The calculation formula can be:

[0155]

[0156] Among them, v P η represents the power supply travel speed, η represents the power transmission 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] Furthermore, after obtaining the power supply cost and charging cost, the power supply profit can be calculated based on these costs. For example, power supply profit = charging cost - power supply cost; power supply profit = charging cost - power supply cost - scheduling cost, where the scheduling cost is the fee charged by the server for matching a charging vehicle with a power supply vehicle; or, charging profit = power supply revenue - power supply cost, where power supply revenue = energy acquisition cost + power supply merging cost + power supply time cost. In this embodiment, the power supply profit of the power supply vehicle = power supply revenue - power supply cost, where power supply revenue = energy acquisition cost + power supply time cost + power supply operating cost, and power supply cost = original purchase cost of the power supply vehicle + power supply time cost + power supply operating cost, i.e., power supply profit = energy acquisition cost - original purchase cost of the power supply vehicle.

[0158] S30. Based on all determined charging costs and all power supply profits, select the 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 used to power the charging vehicle. The target power supply vehicle is a power supply vehicle in a power supply vehicle library, determined based on all charging costs and all power supply profits, where all charging costs and all power supply profits are one-to-one correspondences. When selecting the target power supply vehicle corresponding to the charging vehicle from the power supply vehicle library based on the determined charging costs and all power supply profits, one can directly select the power supply vehicle with the lowest charging cost from the library as the target power supply vehicle; alternatively, weights can be assigned to charging costs and power supply profits, and then the power supply vehicle with the lowest weighted average of charging costs and power supply profits can be calculated as the target power supply vehicle. In this weighted calculation, power supply vehicles are initially screened based on the positive or negative power supply profit before final determination; alternatively, a cost / profit model can be constructed based on charging costs and power supply profits, and this cost / profit model can be used as the objective function to select the target power supply vehicle from the power supply vehicle library using a greedy algorithm.

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

[0161] S31. Construct an objective function based on charging costs and power supply profits;

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

[0163] Specifically, the objective function adopts a cost / profit model, which includes unit charging cost and unit power supply profit. Unit charging cost = charging cost / target energy quantity, and unit power supply profit = power supply profit / target energy quantity. Correspondingly, the unit charging cost UC... C Increased profit per unit of electricity supply P The calculation formulas can be as follows:

[0164]

[0165]

[0166] Among them, C C R represents the charging cost. P C represents the revenue from electricity supply. P Indicates the cost of electricity supply, a C Indicates the target energy quantity.

[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 willing to provide the remaining energy. The meeting point of the charging land vehicle 140 and the power supply land vehicle 110 is the meeting point 130, and the meeting point of the charging land vehicle 140 and the power supply flying car 112 is the meeting point 131. Then, calculate the charging cost of the charging land vehicle 140, the power supply profit of the power supply land vehicle 110 and the power supply flying car 112 respectively, and then select the target power supply vehicle from the power supply land vehicle 110 and the power supply flying car 112 according to the cost / profit model using a greedy algorithm.

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

[0169] An initial supply relationship matrix is ​​constructed based on the charging cost and the power supply profit of each powered vehicle.

[0170] Using the initial supply relationship matrix as the supply relationship matrix, target data groups are selected from the supply relationship matrix with the goal of minimizing charging costs and achieving positive power supply profits.

[0171] The target data group is added to a preset matching set, and the target data group is deleted 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 process of selecting target data groups in the supply relationship matrix with the goal of minimizing charging costs and making power supply profits positive is continued until the amount of data in the target data groups included in the preset matching set reaches the preset number.

[0173] Select a target data group from the preset matching set, and use the power supply vehicle corresponding to the target data group as the target power supply vehicle corresponding to the charging vehicle.

[0174] Specifically, the supply relationship matrix reflects the relationship between the unit charging cost and the unit power supply profit when charging and power-supplying vehicles share energy. In other words, the supply relationship matrix stores all unit charging costs and unit power supply profits for all power-supplying vehicles when they are paired. After constructing the supply relationship matrix, a preference list is generated by sorting the matrix in ascending order. Then, among all combinations, the preference list is determined by the unit charging cost (UC). C The target data sets were selected in ascending order of size, including the unit charging cost of UC. C Increased profit per unit of electricity supply P The target data set was selected as the unit power supply profit UP. P The positive value includes the unit charging cost of UC. C The smallest target data set. Furthermore, when multiple target data sets are selected, the ratio of cost to profit in each set is used as the user satisfaction value. The higher the profit and the lower the cost, the smaller the ratio, indicating greater satisfaction among energy sharers. Among the multiple target data sets, the one with the highest user satisfaction, i.e., the target data set with the smallest ratio, is selected.

[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. Then, the updated supply relationship matrix is ​​used as the supply relationship matrix, and the process of selecting the target data group in the supply relationship matrix with the goal of minimizing charging cost and positive power supply profit is continued until the amount of target data group included in the preset matching set reaches a preset number. Finally, a target data group is selected from the preset matching set as the target power supply vehicle corresponding to the charging vehicle. The target data group in the preset matching set can be selected randomly or by selecting the target data group with the minimum charging cost.

[0176] This application's embodiments use a cost / profit model as the objective function and a greedy algorithm to determine the target power-supplying vehicle. It fully considers information from both charging and power-supplying vehicles, taking into account user preferences for both, thereby improving user satisfaction with energy sharing. Furthermore, this application comprehensively considers distance, time, cost, energy, personal factors, and practical factors (such as traffic conditions) when constructing the cost / profit model, thus enhancing the efficiency of energy sharing establishment and improving user satisfaction.

[0177] S40. Send charging scheduling information to the charging vehicle and power supply scheduling information to the target power supply vehicle, so that the charging vehicle and the target power supply vehicle can share energy.

[0178] Specifically, the charging scheduling information is used to schedule charging vehicles to the rendezvous address, and the power supply scheduling information is used to schedule target power supply vehicles to the rendezvous address, so that the charging vehicles and the target power supply vehicles can share energy. Here, energy sharing between the charging vehicles and the target power supply vehicles refers to establishing wireless energy transmission between the charging vehicles and the target power supply vehicles, so that energy can be transmitted from the target power supply vehicles to the charging vehicles.

[0179] In this embodiment of the application, the process of generating the charging scheduling information can be as follows:

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

[0181] Obtain charging traffic information from the charging vehicle to the meeting point, and determine the predicted charging speed based on the charging traffic information;

[0182] Based on the meeting address, predicted power supply speed, and power supply vehicle information of the target power supply vehicle, charging scheduling information is generated and sent to the charging vehicle.

[0183] Specifically, the charging traffic information reflects the traffic conditions from the charging vehicle to the rendezvous point. The predicted charging speed is the average speed of the charging vehicle from its current location to the rendezvous point according to the charging traffic information, so that the server can determine the charging travel time required for the charging vehicle to reach the rendezvous point based on the predicted charging speed. After obtaining the predicted charging speed, charging scheduling information is generated, carrying the rendezvous point, the predicted charging speed, and the charging vehicle information, so that the charging vehicle can know the rendezvous point, the predicted charging speed, and the charging vehicle.

[0184] In this embodiment of the application, the process of generating the power supply scheduling information can be as follows:

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

[0186] Obtain power supply information from the target powered vehicle to the meeting point; and determine the predicted powered travel speed based on the power supply information;

[0187] Power supply scheduling information is generated based on the rendezvous address, predicted power supply speed, and 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 condition information reflects the traffic situation from the target power supply vehicle to the rendezvous point. The predicted power supply speed is the average speed of the target power supply vehicle from its current location to the rendezvous point according to the power supply condition information, so that the server can determine the power supply travel time required for the target power supply vehicle to reach the rendezvous point based on the predicted power supply speed. After obtaining the predicted power supply speed, charging scheduling information carrying the rendezvous point, predicted power supply speed, and vehicle information is generated, so that the target power supply vehicle can know the rendezvous point, predicted power supply speed, and vehicle information. Furthermore, in practical applications, to reduce the waiting time between charging vehicles and target power supply vehicles, when calculating the predicted power supply speed and predicted charging speed, the predicted power supply speed and predicted charging speed can be calculated first based on power supply and charging road condition information. Then, the arrival time of the charging vehicle and the arrival time of the power supply vehicle can be calculated based on the predicted power supply speed and the predicted charging speed. The latest of the two arrival times is then selected as the target arrival time. Finally, the predicted power supply speed and predicted charging speed are calculated based on the target arrival time, and the predicted power supply speed is used as the predicted power supply speed of the target power supply vehicle, while the predicted charging speed is used as the predicted charging speed of the charging vehicle. This can reduce the waiting time between the charging vehicle and the target power supply vehicle at the meeting point.

[0189] In this embodiment of the application, sending charging scheduling information to the charging vehicle and sending 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] Power supply scheduling information is sent to the target powered vehicle so that the target powered vehicle emits microwave energy based on the receiving location of the charging vehicle;

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

[0192] Specifically, the target powered vehicle and the charging vehicle share energy via microwaves. That is, the target powered vehicle shares its energy with the charging vehicle by emitting microwave energy, and the charging vehicle receives the shared energy by receiving the microwave energy. Since microwave energy sharing requires a certain distance between the charging and target powered vehicles, energy sharing only occurs after both vehicles have reached the meeting point. Therefore, before the target power supply vehicle and the charging vehicle can share energy, both the charging vehicle and the target power supply vehicle need to travel to the rendezvous address. That is, both the charging scheduling information and the power supply scheduling information carry the rendezvous address. Before the charging vehicle and the target power supply vehicle can share energy, the method further includes: controlling the charging vehicle and the target power supply vehicle to travel to the rendezvous address respectively; after both the charging vehicle and the target power supply vehicle have traveled to the rendezvous address, controlling the charging vehicle and the target power supply vehicle to establish energy sharing so that the target power supply vehicle can charge the charging vehicle.

[0193] In one implementation of this application, the energy-sharing instruction for establishing energy sharing between the charging vehicle and the target power supply vehicle at the meeting point can be sent by the server to both the charging vehicle and the target power supply vehicle, or the server can send the instruction to the charging vehicle, and then the charging vehicle can send a charging request to the target power supply vehicle to establish energy sharing. In other words, establishing energy sharing at the meeting point to allow the target power supply vehicle to charge the charging vehicle specifically includes: sending a charging request to the target power supply vehicle at the meeting point; receiving microwave energy emitted by the target power supply vehicle based on the charging request, to establish energy sharing with the target power supply vehicle, and thus charging 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 them, the driving trajectory of the charging vehicle and the tracking trajectory of the target power supply vehicle can be planned before energy sharing begins. The charging vehicle travels according to its driving trajectory, and the target power supply vehicle travels according to its tracking trajectory, so that the distance between them meets the distance requirements for microwave energy sharing. Based on this, the method further includes:

[0195] The tracking trajectory corresponding to the target power supply vehicle is determined, and the target power supply vehicle is controlled to travel according to the tracking trajectory so that the charging vehicle and the target power supply vehicle can travel in 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 for platooning. Communication between the charging vehicle and the target power supply vehicle enables the acquisition of status information among multiple vehicles and allows for autonomous decision-making, achieving platooning with multiple vehicles maintaining a certain distance and speed. Furthermore, during the coordinated platooning process, a linear quadratic controller can be used for lateral coordination, and a PID controller for longitudinal coordination. This ensures that the distance between the charging vehicle and the target power supply vehicle meets the distance requirements for microwave energy sharing while guaranteeing the driving safety of both vehicles.

[0197] In this embodiment, during coordinated platooning, both the charging vehicle and the target power supply vehicle in the platoon rely on their own onboard sensors to acquire their own position and speed information. The charging vehicle transmits its information to the Roadside Unit (RSU) via onboard communication technology. The RSU processes the data and transmits it to the target power supply vehicle. The target power supply vehicle sends the position and speed information collected by its sensors to its Onboard Unit (OBU), which then transmits it to the RSU via onboard communication technology. The RSU's calculation unit processes the data and then sends the reference speed, latitude, longitude, and heading angle of each vehicle to the charging vehicle's OBU via onboard communication technology. The OBU then sends the information to the charging vehicle's onboard controller. The charging vehicle then corrects its tracking trajectory based on the received data and sends the corrected trajectory to the target power supply vehicle. Of course, in practical applications, the charging vehicle and the target power supply vehicle can communicate directly via onboard communication technology. In other words, the charging vehicle and the power supply vehicle communicate directly through vehicle-to-everything (V2X) communication technology, or the charging vehicle communicates with the power supply vehicle through a roadside communication unit using V2X communication technology.

[0198] For example: Figure 3 This is a schematic diagram of the communication framework in the energy sharing and scheduling method. Figure 3In this system, 310 is the cloud computing platform, 320, 321, and 322 are flying cars, 330 and 331 are network communication base stations, 340 is for PC5 communication between flying cars and land vehicles, 341 is for direct communication between vehicles and the network via Uu communication, 342 is for communication between vehicles and roadside units via PC5 communication, 343 is for PC5 communication between land vehicles, 350 and 351 are roadside communication units, and 360 and 361 are land vehicles. Each land vehicle and each flying car can communicate directly with the cloud platform or through roadside communication units. For example, land vehicle 360 ​​can send a charging request directly to the cloud platform via Uu communication (340) or via PC5 communication (341). The roadside communication unit then transmits the information to the network base station via fiber optic cable before uploading it to the cloud platform.

[0199] In one implementation of the embodiments of this application, such as Figure 4 As shown, sending power dispatch information to the target powered vehicle so that the target powered vehicle can transmit microwave energy based on the receiving location of the charging vehicle specifically includes:

[0200] The system controls the target power supply vehicle to configure power transmission parameters and power supply target location, and converts electrical energy into microwave energy.

[0201] The target power supply vehicle is controlled to detect the receiving position of the charging vehicle, and the power transmission parameters are adjusted based on the receiving position and the power supply target position;

[0202] The emission efficiency of the target power supply vehicle detection capability is controlled, and microwave tuning is performed based on the emission efficiency, and the tuned microwave energy is emitted.

[0203] Specifically, the target power-supplying vehicle is the energy transmitter, and the charging vehicle is the energy receiver. The power transmission parameters and target location of the target power-supplying vehicle are pre-acquired. Before the target power-supplying vehicle turns on the charging switch, the power transmission parameters and target location are configured, and then the charging switch is turned on to convert electrical energy into microwave energy. Furthermore, after turning on the charging switch, the target power-supplying vehicle detects the receiving location of the charging vehicle. The receiving location refers to the vehicle's position. The target power-supplying vehicle can obtain the receiving location directly from the charging vehicle using vehicle-to-everything (V2X) communication technology, or it can obtain the receiving location from the charging vehicle through a roadside communication unit using V2X communication technology.

[0204] After acquiring the receiving location, the target powered vehicle calculates the transmission parameters required for wireless energy transmission to the charging vehicle based on the receiving location. It then adjusts the power transmission parameters accordingly to ensure the charging vehicle can receive the microwave energy emitted by the target powered vehicle. Furthermore, it sets the target transmission location based on the charging vehicle's receiving location, thus completing the initial parameter setting of the wireless energy transmission module in the target powered vehicle. Next, a microwave DC power amplifier is used to convert electrical energy into microwave energy, while the receiving location of the charging vehicle is monitored in real time. When the receiving location changes, the target powered vehicle readjusts the transmission parameters of the wireless energy transmission module based on the changed location to ensure maximum power wireless energy transmission.

[0205] Furthermore, after electrical energy is converted into microwave energy, the transmission power of the microwave energy is detected, and a tuner is used to dynamically adjust the resonant frequency between the target power-supplying vehicle and the charging vehicle. Finally, multiple antennas are used for energy transmission. This ensures the efficiency and stability of energy transmission while improving its directionality and efficiency. The multiple antenna system utilizes beamforming technology to focus energy onto the charging vehicle, enabling energy sharing between the target power-supplying vehicle and the charging vehicle.

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

[0207] The system controls the charging vehicle to configure receiving and transmission parameters and target location, and to receive microwave energy emitted by the target powered vehicle;

[0208] The receiving frequency of the microwave energy and the receiving location of the target power supply vehicle are obtained, and the receiving transmission parameters are adjusted based on the receiving frequency and the receiving location;

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

[0210] Specifically, the charging vehicle, acting as the receiver, needs to configure its receiving and transmission parameters and target location to receive microwave energy emitted by the target powered vehicle. The charging vehicle also needs to turn on its charging switch while receiving microwave energy from the target powered vehicle. Specifically, the charging vehicle uses vehicle-to-everything (V2X) communication technology to obtain the target powered vehicle's vehicle information and location information to determine its receiving location. Based on this location, the charging vehicle adjusts its receiving and transmission parameters and sets its receiving location. Similarly, during energy sharing, the charging vehicle also obtains the target powered vehicle's location in real time to adjust its receiving location and frequency, achieving stable and efficient energy transmission. Furthermore, after setting the receiving and transmission parameters and receiving location, a high-efficiency energy receiver converts the microwave energy into DC power, which is then input into the energy storage battery for wireless charging.

[0211] In one implementation of the embodiments of this application, such as Figure 5 As shown, after sending charging scheduling information to the charging vehicle and power supply scheduling information to the target power supply vehicle to enable energy sharing between the charging vehicle and the target power supply vehicle, the method further includes:

[0212] After the charging vehicle and the target power supply vehicle complete energy sharing, the actual amount of energy sent by the charging vehicle is received, and a payment request is generated 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, after the energy-sharing charging operation is completed, the actual amount of energy received by the charging vehicle is determined. A payment request is then made based on this actual energy quantity. The amount corresponding to the payment request is the energy-sharing fee, which is determined based on the actual energy quantity and the energy transaction price charged by the target powered vehicle. After generating the payment request, it is sent to the blockchain network. The energy-sharing fee is then shared between the charging vehicle and the target powered vehicle through the blockchain network to complete the settlement of the energy-sharing fee. In this blockchain network, the target power supply vehicle, the charging vehicle, and the server are all nodes. A secure payment module is installed on the blockchain network. This module receives payment requests corresponding to the energy sharing fees. Upon receiving a payment request, the secure payment module records it on the distributed ledger of the blockchain network, ensuring that all target power supply vehicles, charging vehicles, and the server can access and verify the payment information. Then, the nodes in the blockchain network use a consensus mechanism (such as proof-of-work or proof-of-stake) to verify and confirm the payment request. When the payment request is verified and confirmed, a smart contract is triggered, allowing the charging vehicle to make the payment. The smart contract is a pre-programmed automated rule that defines the conditions and actions of the payment and, in response to the payment request, transfers the energy sharing fees from the charging vehicle's account to the target power supply vehicle's account. These transactions are recorded on the blockchain network, ensuring the transparency and traceability of the payments. After the payment operation corresponding to the payment request is completed, both the target power supply vehicle and the charging vehicle can verify the completion of the payment and receive corresponding confirmation. Thus, the payment process for energy sharing is completed using blockchain technology, achieving secure transactions.

[0215] In summary, this application provides an energy sharing scheduling method. The method includes receiving a charging request from a charging vehicle, wherein the charging request carries the charging vehicle's own charging vehicle information; reading power supply vehicle information from a power supply vehicle database, 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 the power supply vehicle information; selecting a target power supply vehicle corresponding to the charging vehicle from the power supply vehicle database based on all determined charging costs and all power supply profits; sending charging scheduling information to the charging vehicle and sending 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. Upon receiving a charging request, this embodiment selects a target power-supplying vehicle from a pool of power-supplying vehicles, aiming at both charging cost and power supply profit. It then controls energy sharing between the charging vehicle and the target power-supplying vehicle. By prioritizing both charging cost and power supply profit, the charging vehicle can find a power-supplying vehicle at a low charging cost, while ensuring that the power-supplying vehicle can obtain a power supply profit. This improves the matching speed between the charging and power-supplying vehicles and enhances energy sharing efficiency.

[0216] Based on the above energy sharing and dispatching methods, such as Figure 6 As shown, this application embodiment 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, it implements the steps in the energy sharing scheduling method described above.

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

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

[0221] Optionally, in a specific implementation, the server may also include a communication interface for communicating with external devices. The first memory 601, the first processor 602, and the communication interface can be integrated onto a single chip, and the first memory 601, the first processor 602, and the communication interface can communicate with each other through internal interfaces.

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

[0223] Based on the above-mentioned energy sharing and scheduling method, this application provides a charging method, such as... Figure 7 As shown, the method includes:

[0224] N10. A charging request is formed based on the vehicle information of the charging vehicle itself, and the charging scheduling information formed by the server based on the charging request is received. The charging scheduling information includes power supply vehicle information, which is the vehicle information of the 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. Based on the charging scheduling information, energy sharing is performed with the target power supply vehicle to charge the charging vehicle through the target power supply vehicle.

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

[0227] The remaining battery power information and auxiliary information of the charging vehicle are obtained, wherein the auxiliary information is used to reflect the current status of the charging vehicle;

[0228] Based on the remaining battery power information and the time-series module in the trained trip prediction model, the temporal characteristics of the remaining battery power information are determined.

[0229] Based on the time-series features, the auxiliary information, and the regression module in the trained trip prediction model, the predicted trip corresponding to the remaining battery power information is determined.

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

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

[0232] In one implementation of this application, the step of forming a charging request based on the vehicle information of the charging vehicle itself when the predicted trip is less than a preset trip threshold specifically includes:

[0233] When the predicted distance is less than a preset distance 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 distance;

[0234] If a fixed charging station is found, drive to the fixed charging station;

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

[0236] In one implementation of this application, the charging scheduling information carries a meeting address; before the step of sharing energy with the target powered vehicle based on the charging scheduling information to charge the charging vehicle through the target powered vehicle, the method further includes:

[0237] Drive to the meeting point;

[0238] Energy sharing is established at the meeting point with the target powered vehicle to charge the charging vehicle via the target powered vehicle.

[0239] In one implementation of this application, during the energy sharing process between the charging vehicle and the target powered vehicle, the method further includes:

[0240] The tracking trajectory corresponding to the target power supply vehicle is determined, and the target power supply vehicle is controlled to travel according to the tracking trajectory so that the charging vehicle and the target power supply vehicle can travel in coordinated formation.

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

[0242] In one implementation of this application, the step of sharing energy with the target powered vehicle based on the charging scheduling information, so as to charge the charging vehicle through the target powered vehicle, specifically includes:

[0243] Send a charging request message to the target powered vehicle;

[0244] The vehicle receives microwave energy emitted by the target powered vehicle based on the charging request information to establish energy sharing with the target powered vehicle, so as to charge the charging vehicle through the target powered vehicle. The target powered vehicle emits microwave energy based on the receiving position of the charging vehicle, and the charging vehicle receives the microwave energy received by the target powered vehicle based on the sending position of the target powered vehicle.

[0245] In one implementation of this application, the charging vehicle and the power supply vehicle communicate directly via vehicle-to-everything (V2X) communication technology; alternatively, the charging vehicle communicates with the power supply vehicle via a roadside communication unit using V2X communication technology.

[0246] In one implementation of this application, after establishing wireless power supply between the rendezvous address and the target power supply vehicle corresponding to the power supply vehicle information based on the power supply vehicle information, the method further includes:

[0247] Once charging is complete, the actual amount of energy is obtained and sent to the server.

[0248] The system receives payment requests for energy sharing fees from the server and responds to these requests using blockchain technology to complete the settlement of the energy sharing fees.

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

[0250] It is worth noting that the main operating entity of the charging method provided in this application embodiment 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, so it 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, embodiments of this application provide a means of transportation, 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 that can be executed by the second processor;

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

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

[0255] If the second memory 801 and the second processor 802 are implemented independently, they can be interconnected via a bus to communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EIS) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 7 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0256] Optionally, in a specific implementation, the server may also include a communication interface for communicating with external devices. The second memory 801, the second processor 602, and the communication interface can be integrated onto a single chip, and the second memory 801, the second processor 802, and the communication interface can communicate with each other through internal interfaces.

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

[0258] Based on the above charging method and the above energy sharing scheduling method, this application provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores one or more programs, which 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.

[0259] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

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

[0261] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0262] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable storage medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable storage medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable storage medium could be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0263] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0264] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0265] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0266] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

[0267] It should be understood that the application of this application is not limited to the examples above. Those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. An energy sharing and scheduling method, characterized in that, The method includes: Receive a charging request from a charging vehicle, wherein the charging request carries the charging vehicle's own charging vehicle information; Read the information of powered vehicles in the powered vehicle library, and determine the charging cost of the charging vehicle relative to each powered vehicle, and the power supply profit of each powered vehicle relative to the charging vehicle, based on the charging vehicle information and the information of each powered vehicle. Based on all determined charging costs and all power supply profits, select the target power supply vehicle corresponding to the charging vehicle from the power supply vehicle library; Send charging scheduling information to the charging vehicle and 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, selecting the target power supply vehicle corresponding to the charging vehicle from the power supply vehicle library based on all determined charging costs and all power supply profits includes: Construct an objective function using charging costs and power supply profits; An initial supply relationship matrix is ​​constructed based on the charging cost and the power supply profit of each powered vehicle. Using the initial supply relationship matrix as the supply relationship matrix, target data groups are selected from the supply relationship matrix with the goal of minimizing charging costs and achieving positive power supply profits. The target data group is added to a preset matching set, and the target data group is deleted 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 process of selecting target data groups in the supply relationship matrix with the goal of minimizing charging costs and making power supply profits positive is continued until the amount of data in the target data groups included in the preset matching set reaches the preset number. Select a target data group from the preset matching set, and use the power supply vehicle corresponding to the target data group as the target power supply vehicle corresponding to the charging vehicle.

2. The energy sharing and dispatching method according to claim 1, characterized in that, The charging vehicle information includes the charging vehicle's location, required energy quantity, and charging speed; the power supply vehicle information includes the power supply vehicle's location, supplied energy quantity, and power supply speed. The determination 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: The meeting address corresponding to each power supply vehicle is determined based on the location of the charging vehicle and the location of each power supply vehicle, and the target energy amount corresponding to each power supply vehicle is determined based on the energy demand and the energy supply amount. Based on the meeting address, the target energy amount corresponding to each powered vehicle, and the charging speed, the charging cost of the powered vehicle relative to each powered vehicle is determined. Based on the convergence address, the target energy amount corresponding to each powered vehicle, and the powered driving speed of each powered vehicle, the power supply cost corresponding to each powered vehicle is determined, and the power supply profit is determined based on the charging cost and the power supply cost.

3. The energy sharing and dispatching method according to claim 2, characterized in that, The charging cost includes the energy acquisition cost of obtaining energy from the powered vehicle, the charging pooling cost, and the charging time cost; the power supply cost includes the original purchase cost of the supplied energy, the power pooling cost, and the power supply time cost.

4. The energy sharing and scheduling method according to claim 1, characterized in that, The process of generating the charging scheduling information specifically includes: Obtain the meeting address of the charging vehicle and the target power supply vehicle; Obtain charging traffic information from the charging vehicle to the meeting point, and determine the predicted charging speed based on the charging traffic information; Based on the meeting address, predicted power supply speed, and power supply vehicle information of the target power supply vehicle, charging scheduling information is generated and sent to the charging vehicle.

5. The energy sharing and dispatching method according to claim 1, characterized in that, The process of generating the power supply dispatch information specifically includes: Obtain the meeting address of the charging vehicle and the target power supply vehicle; Obtain power supply information from the target powered vehicle to the meeting point; and determine the predicted powered travel speed based on the power supply information; Power supply scheduling information is generated based on the rendezvous address, predicted power supply speed, and power supply vehicle information of the target power supply vehicle, and the power supply scheduling information is sent to the target power supply vehicle.

6. The energy sharing and scheduling method according to claim 1, characterized in that, Sending charging scheduling information to the charging vehicle and sending 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: Power supply scheduling information is sent to the target powered vehicle so that the target powered vehicle emits microwave energy based on the receiving location of the charging vehicle; The charging vehicle sends charging scheduling information to the charging vehicle so that the charging vehicle receives microwave energy based on the sending location of the target power supply vehicle, thereby realizing energy sharing between the charging vehicle and the target power supply vehicle.

7. The energy sharing and dispatching method according to claim 1, characterized in that, After sending charging scheduling information to the charging vehicle and power supply scheduling information to the target power supply vehicle to enable energy sharing between the charging vehicle and the target power supply vehicle, the method further includes: After the charging vehicle and the target power supply vehicle complete energy sharing, the actual amount of energy sent by the charging vehicle is received, and a payment request is generated 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.

8. The energy sharing and scheduling method according to any one of claims 1-7, characterized in that, Both the charging vehicle and the target power supply vehicle are land vehicles or aircraft.

9. A server-side component, characterized in that, include: First processor and first memory; The first memory stores a computer-readable program that can be executed by the first processor; When the first processor executes the computer-readable program, it implements the steps of the energy sharing scheduling method as described in any one of claims 1-7.

10. A charging method, characterized in that, The method includes: A charging request is formed based on the vehicle information of the charging vehicle itself, and the server that processes the charging request receives charging scheduling information formed based on the charging request. The charging scheduling information includes power supply vehicle information, which is the vehicle information of the 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. Based on the charging scheduling information, energy sharing is performed with the target powered vehicle so that the target powered vehicle can charge the charging vehicle. The selection process for choosing the target power-supplying vehicle corresponding to the charging vehicle from the power supply vehicle library based on all determined charging costs and all power supply profits specifically includes: Construct an objective function using charging costs and power supply profits; An initial supply relationship matrix is ​​constructed based on the charging cost and the power supply profit of each powered vehicle. Using the initial supply relationship matrix as the supply relationship matrix, target data groups are selected from the supply relationship matrix with the goal of minimizing charging costs and achieving positive power supply profits. The target data group is added to a preset matching set, and the target data group is deleted 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 process of selecting target data groups in the supply relationship matrix with the goal of minimizing charging costs and making power supply profits positive is continued until the amount of data in the target data groups included in the preset matching set reaches the preset number. Select a target data group from the preset matching set, and use the power supply vehicle corresponding to the target data group as the target power supply vehicle corresponding to the charging vehicle.

11. The charging method according to claim 10, characterized in that, Before generating a charging request based on the vehicle's own vehicle information, the method further includes: The remaining battery power information and auxiliary information of the charging vehicle are obtained, wherein the auxiliary information is used to reflect the current status of the charging vehicle; Based on the remaining battery power information and the time-series module in the trained trip prediction model, the temporal characteristics of the remaining battery power information are determined. Based on the time-series features, the auxiliary information, and the regression module in the trained trip prediction model, the predicted trip corresponding to the remaining battery power information is determined. When the predicted trip is less than a preset trip threshold, the step of forming a charging request based on the vehicle information of the charging vehicle itself is executed.

12. The charging method according to claim 11, characterized in that, The auxiliary information includes one or more of the following: driving speed, environmental information, and driver information.

13. The charging method according to claim 11, characterized in that, The step of generating a charging request based on the vehicle's own information when the predicted trip is less than a preset trip threshold specifically includes: When the predicted distance is less than a preset distance 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 distance; If a fixed charging station is found, drive to the fixed charging station; If no available fixed charging equipment is found, then the step of forming a charging request based on the vehicle information of the charging vehicle itself is executed.

14. The charging method according to claim 10, characterized in that, The charging scheduling information carries a meeting address; before the step of sharing energy with the target powered vehicle based on the charging scheduling information, so as to charge the charging vehicle through the target powered vehicle, the method further includes: Drive to the meeting point; Energy sharing is established at the meeting point with the target powered vehicle to charge the charging vehicle via the target powered vehicle.

15. The charging method according to claim 10, characterized in that, During the energy sharing process between the charging vehicle and the target powered vehicle, the method further includes: The tracking trajectory corresponding to the target power supply vehicle is determined, and the target power supply vehicle is controlled to travel according to the tracking trajectory so that the charging vehicle and the target power supply vehicle can travel in coordinated formation.

16. The charging method according to claim 10, characterized in that, The step of sharing energy with the target powered vehicle based on the charging scheduling information, so as to charge the charging vehicle through the target powered vehicle, specifically includes: Send a charging request message to the target powered vehicle; The vehicle receives microwave energy emitted by the target powered vehicle based on the charging request information to establish energy sharing with the target powered vehicle, so as to charge the charging vehicle through the target powered vehicle. The target powered vehicle emits microwave energy based on the receiving position of the charging vehicle, and the charging vehicle receives the microwave energy received by the target powered vehicle based on the sending position of the target powered vehicle.

17. The charging method according to claim 10, characterized in that, After sharing energy with the target powered vehicle based on the charging scheduling information, so as to charge the charging vehicle through the target powered vehicle, the method further includes: Once charging is complete, the actual amount of energy is obtained and sent to the server. The system receives payment requests for energy sharing fees from the server and responds to these requests using blockchain technology to complete the settlement of the energy sharing fees.

18. The charging method according to any one of claims 10-17, characterized in that, Both the charging vehicle and the target power supply vehicle are land vehicles or aircraft.

19. A means of transportation, characterized in that, The vehicle includes a second processor and a second memory; The second memory stores a computer-readable program that can be executed by the second processor; When the second processor executes the computer-readable program, it implements the steps of the charging method as described in any one of claims 10-18.

20. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores one or more programs that 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 1-8, and / or to implement the steps in the charging method as described in any one of claims 10-18.

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