Vehicle-mounted unmanned aerial vehicle charging method and device, vehicle and storage medium

Abstract

The invention provides a charging method and device for a vehicle-mounted unmanned aerial vehicle, a vehicle and a storage medium, the method is applied to the field of vehicles, and the method comprises the following steps: obtaining state information of the vehicle-mounted unmanned aerial vehicle and weather information of an environment where the vehicle is located; according to the state information of the vehicle-mounted unmanned aerial vehicle and the weather information, judging whether an initial condition for the vehicle-mounted unmanned aerial vehicle to enter a self-power-generation mode is met; if it is determined that the initial condition is met, controlling the vehicle-mounted unmanned aerial vehicle to enter a self-power-generation mode; wherein in the self-power-generation mode, the power generation capacity of the vehicle-mounted unmanned aerial vehicle is used for supplying power to the vehicle-mounted unmanned aerial vehicle. According to the method, the influence of the vehicle-mounted unmanned aerial vehicle on the endurance mileage of the vehicle can be reduced, and the cruising ability of the vehicle-mounted unmanned aerial vehicle is enhanced.

Description

Technical Field

[0001] The present application relates to the field of vehicles, and more particularly, to a method, device, vehicle, and storage medium for charging an in-vehicle drone in the field of vehicles. Background Art

[0002] An in-vehicle drone refers to a new type of device that combines drone technology with a vehicle. Usually, the drone is loaded on the vehicle, and functions such as takeoff, operation, and landing of the drone are realized by the energy provided by the vehicle. However, when the in-vehicle drone is charged using the vehicle's battery pack, it will consume part of the electrical energy of the battery pack, resulting in a reduction in the actual driving range of the vehicle. Therefore, how to reduce the impact of the in-vehicle drone on the vehicle's driving range has become an urgent problem to be solved. Summary of the Invention

[0003] The present application provides a method, device, vehicle, and storage medium for charging an in-vehicle drone. This method can reduce the impact of the in-vehicle drone on the vehicle's driving range and enhance the endurance of the in-vehicle drone.

[0004] In a first aspect, a method for charging an in-vehicle drone is provided. The method includes: obtaining the status information of the in-vehicle drone of the vehicle and the weather information of the environment where the vehicle is located; judging whether the initial conditions for the in-vehicle drone to enter the self-power generation mode are satisfied according to the status information of the in-vehicle drone and the weather information; if it is determined that the initial conditions are satisfied, controlling the in-vehicle drone to enter the self-power generation mode; wherein, in the self-power generation mode, the power generation capacity of the in-vehicle drone is used to charge the in-vehicle drone.

[0005] In the above technical solution, by comprehensively considering the status information of the in-vehicle drone and the weather information of the environment where the vehicle is located to judge whether the initial conditions for the in-vehicle drone to enter the self-power generation mode are satisfied, this comprehensive judgment method can ensure that the in-vehicle drone enters the self-power generation mode at an appropriate time. In the self-power generation mode, the self-power generation capacity of the in-vehicle drone is used to charge itself, which can not only improve the energy utilization efficiency but also enhance the endurance of the in-vehicle drone. In this way, the in-vehicle drone can generate electricity autonomously when it needs to be charged, reducing the dependence on external power sources, improving the flexibility of charging the in-vehicle drone, and reducing the impact of the in-vehicle drone on the vehicle's driving range.

[0006] In combination with the first aspect, in some possible implementation manners, the self-power generation mode includes a wind power generation mode; determining whether the initial conditions for the in-vehicle UAV to enter the self-power generation mode are satisfied according to the status information of the in-vehicle UAV and the weather information includes: if the vehicle is in a driving state, determining whether the initial conditions for the in-vehicle UAV to enter the wind power generation mode are satisfied according to the speed of the vehicle, the status information of the in-vehicle UAV, and the weather information; if the vehicle is in a parked state, determining whether the initial conditions for the in-vehicle UAV to enter the wind power generation mode are satisfied according to the status information of the in-vehicle UAV and the weather information.

[0007] In the above technical solution, when determining whether the in-vehicle UAV meets the initial conditions for entering the self-power generation mode, the motion state and speed of the vehicle are fully considered. When the vehicle is in a driving state, a comprehensive judgment is made by combining the speed, the status information of the in-vehicle UAV, and the weather information. This method can ensure that during the driving process of the vehicle, the wind power generation mode of the in-vehicle UAV can be started under appropriate speeds and conditions, ensuring the effective utilization of wind energy; when the vehicle is in a parked state, the judgment is mainly based on the status information of the in-vehicle UAV and the weather information. In this way, the in-vehicle UAV can make a judgment according to the real-time status information and weather information to determine the appropriate timing for the wind power generation mode, thereby improving the energy utilization efficiency and endurance of the in-vehicle UAV.

[0008] In combination with the first aspect and the above implementation manners, in some possible implementation manners, the status information of the in-vehicle UAV includes fault information and remaining power, and the weather information includes weather type; determining whether the initial conditions for the in-vehicle UAV to enter the wind power generation mode are satisfied according to the speed of the vehicle, the status information of the in-vehicle UAV, and the weather information includes: when the speed is lower than a preset speed, the fault information indicates that the in-vehicle UAV has no fault, the remaining power is lower than a preset power threshold, and the weather type indicates that the weather is normal, it is determined that the initial conditions for the in-vehicle UAV to enter the wind power generation mode are satisfied.

[0009] In the above technical solution, when determining whether the in-vehicle UAV meets the initial conditions for entering the wind power generation mode, the vehicle speed, the fault information of the in-vehicle UAV, the remaining power, and the weather type are considered comprehensively. When the vehicle speed is lower than the preset speed, the in-vehicle UAV has no fault, the remaining power is lower than the preset power threshold, and the weather is normal, it is determined that the initial conditions for the in-vehicle UAV to enter the wind power generation mode are met. This comprehensive judgment method ensures that the in-vehicle UAV enters the wind power generation mode at the appropriate time and conditions, avoiding damage to the in-vehicle UAV caused by excessive vehicle speed, ensuring power generation of the in-vehicle UAV in a fault-free state, and considering the remaining power and weather factors at the same time to improve the necessity and safety of charging, so as to ensure wind power generation in a safe and efficient manner at the appropriate time, thereby extending the endurance time of the in-vehicle UAV.

[0010] Combined with the first aspect and the above implementation, in some possible implementations, the status information of the in-vehicle UAV includes fault information and remaining power, the weather information includes weather type and wind speed, and determining whether the initial conditions for the in-vehicle UAV to enter the wind power generation mode are met according to the status information of the in-vehicle UAV and the weather information includes: when the wind speed is within the preset wind speed range, the fault information indicates that the in-vehicle UAV has no fault, the remaining power is lower than the remaining power threshold, and the weather type indicates that the weather is normal, it is determined that the initial conditions for the in-vehicle UAV to enter the wind power generation mode are met.

[0011] In the above technical solution, when determining whether the in-vehicle UAV meets the initial conditions for entering the wind power generation mode, the fault information and remaining power of the in-vehicle UAV, as well as the weather type and wind speed, are considered comprehensively. When the wind speed is within the preset wind speed range, the in-vehicle UAV has no fault, the remaining power is lower than the remaining power threshold, and the weather is normal, it is determined that the initial conditions for the in-vehicle UAV to enter the wind power generation mode are met. This comprehensive judgment method ensures that the in-vehicle UAV enters the wind power generation mode under appropriate weather and wind speed conditions, and when the in-vehicle UAV itself is in a fault-free state and the power is insufficient. It not only ensures that the in-vehicle UAV charges under safe weather and wind speed conditions, avoiding damage to the in-vehicle UAV caused by bad weather or excessive wind speed, but also ensures power generation of the in-vehicle UAV in a fault-free state, and considers the remaining power at the same time to improve the necessity and safety of charging, so as to ensure wind power generation in a safe and efficient manner at the appropriate time, thereby extending the endurance time of the in-vehicle UAV.

[0012] Combined with the first aspect and the above implementation manners, in some possible implementation manners, the vehicle-mounted unmanned aerial vehicle includes a propeller, a motor, and a battery. Controlling the vehicle-mounted unmanned aerial vehicle to enter the self-power generation mode includes: controlling the cabin cover of the vehicle-mounted unmanned aerial vehicle to open to a preset angle so that the wind power can drive the propeller to rotate, converting the wind energy into mechanical energy; controlling the motor to recover the mechanical energy and convert the mechanical energy into electrical energy and store it in the battery, so that the vehicle-mounted unmanned aerial vehicle enters the wind power generation mode.

[0013] In the above technical solution, when controlling the vehicle-mounted unmanned aerial vehicle to enter the wind power generation mode, first, the cabin cover of the vehicle-mounted unmanned aerial vehicle is controlled to open to a preset angle. This step can ensure that the wind power can drive the propeller to rotate, thereby converting the wind energy into mechanical energy. Then, the motor recovers the mechanical energy and further converts it into electrical energy and stores it in the battery, thus realizing charging the vehicle-mounted unmanned aerial vehicle by using the power generation ability of the vehicle-mounted unmanned aerial vehicle.

[0014] Combined with the first aspect and the above implementation manners, in some possible implementation manners, the status information of the vehicle-mounted unmanned aerial vehicle includes fault information and remaining power, the weather information includes weather type, and the self-power generation mode includes a solar power generation mode; judging whether the initial conditions for the vehicle-mounted unmanned aerial vehicle to enter the self-power generation mode are met according to the status information of the vehicle-mounted unmanned aerial vehicle and the weather information includes: when the fault information indicates that the vehicle-mounted unmanned aerial vehicle has no fault, the remaining power is lower than a preset power threshold, and the weather type is sunny, it is determined that the initial conditions for the vehicle-mounted unmanned aerial vehicle to enter the solar power generation mode are met.

[0015] In the above technical solution, when judging whether the vehicle-mounted unmanned aerial vehicle meets the initial conditions for entering the self-power generation mode, the fault information, remaining power, and weather type of the vehicle-mounted unmanned aerial vehicle are considered in combination. When the vehicle-mounted unmanned aerial vehicle is in a fault-free state and its remaining power is lower than the preset power threshold, it indicates that the unmanned aerial vehicle has a charging requirement. At the same time, in the case of sunny weather, the solar power generation mode can work more effectively and can maximize the use of solar energy for power generation. When all conditions are met simultaneously, it is determined that the initial conditions for the vehicle-mounted unmanned aerial vehicle to enter the solar power generation mode are met. This method not only ensures that the vehicle-mounted unmanned aerial vehicle can obtain energy supply when needed, but also makes full use of natural resources and improves the energy utilization efficiency.

[0016] Combined with the first aspect and the above implementation manners, in some possible implementation manners, the vehicle-mounted unmanned aerial vehicle includes a solar panel and a battery. Controlling the vehicle-mounted unmanned aerial vehicle to enter the self-power generation mode includes: controlling the cabin cover of the vehicle-mounted unmanned aerial vehicle to open to a preset angle, so that the solar panel collects solar energy and converts the solar energy into electric energy to be stored in the battery, so that the vehicle-mounted unmanned aerial vehicle enters the solar power generation mode.

[0017] In the above technical solution, when controlling the vehicle-mounted unmanned aerial vehicle to enter the solar power generation mode, first control the cabin cover of the vehicle-mounted unmanned aerial vehicle to open to a preset angle. This step can ensure that the solar panel is maximally exposed to sunlight, thereby effectively collecting solar energy. After that, the solar panel converts the collected solar energy into electric energy and stores this electric energy in the battery for the vehicle-mounted unmanned aerial vehicle to use, so as to realize charging the vehicle-mounted unmanned aerial vehicle by using the power generation ability of the vehicle-mounted unmanned aerial vehicle.

[0018] Combined with the first aspect and the above implementation manners, in some possible implementation manners, if it is determined that the initial conditions are met, controlling the vehicle-mounted unmanned aerial vehicle to enter the self-power generation mode includes: if it is determined that the initial conditions are met, output a reminder message; wherein, the reminder message is used to remind the user to turn on the self-power generation mode; and when it is detected that the self-power generation mode is in the on state, control the vehicle-mounted unmanned aerial vehicle to enter the self-power generation mode.

[0019] In the above technical solution, after it is determined that the initial conditions for the vehicle-mounted unmanned aerial vehicle to enter the self-power generation mode are met, the unmanned aerial vehicle is not directly controlled to enter the self-power generation mode. Instead, a reminder message is first output to the user. This method can improve the user experience to prompt the user to turn on the self-power generation mode; after the user turns on the self-power generation mode according to the reminder message, then control the vehicle-mounted unmanned aerial vehicle to enter the self-power generation mode. This way of user confirmation can improve the user experience and the safety of charging at the same time.

[0020] In a second aspect, a charging device for a vehicle-mounted unmanned aerial vehicle is provided. The device includes: an acquisition module, configured to acquire the status information of the vehicle-mounted unmanned aerial vehicle of the vehicle and the weather information of the environment where the vehicle is located; a judgment module, configured to judge whether the initial conditions for the vehicle-mounted unmanned aerial vehicle to enter the self-power generation mode are met according to the status information of the vehicle-mounted unmanned aerial vehicle and the weather information; and a control module, configured to control the vehicle-mounted unmanned aerial vehicle to enter the self-power generation mode if it is determined that the initial conditions are met; wherein, in the self-power generation mode, the power generation ability of the vehicle-mounted unmanned aerial vehicle is used to charge the vehicle-mounted unmanned aerial vehicle.

[0021] In combination with the second aspect, in some implementations of the second aspect, the self-power generation mode includes a wind power generation mode; specifically, the determination module is configured to: according to the status information of the on-vehicle drone and the weather information, determine whether the initial conditions for the on-vehicle drone to enter the self-power generation mode are met, including: if the vehicle is in a driving state, then according to the speed of the vehicle, the status information of the on-vehicle drone, and the weather information, determine whether the initial conditions for the on-vehicle drone to enter the wind power generation mode are met; if the vehicle is in a parked state, then according to the status information of the on-vehicle drone and the weather information, determine whether the initial conditions for the on-vehicle drone to enter the wind power generation mode are met.

[0022] In combination with the second aspect and the above implementation, in some implementations of the second aspect, the status information of the on-vehicle drone includes fault information and remaining power, and the weather information includes weather type; specifically, the determination module is configured to: according to the speed of the vehicle, the status information of the on-vehicle drone, and the weather information, determine whether the initial conditions for the on-vehicle drone to enter the wind power generation mode are met, including: when the speed is lower than a preset speed, the fault information indicates that the on-vehicle drone has no fault, the remaining power is lower than a preset power threshold, and the weather type indicates that the weather is normal, it is determined that the initial conditions for the on-vehicle drone to enter the wind power generation mode are met.

[0023] In combination with the second aspect and the above implementation, in some implementations of the second aspect, the status information of the on-vehicle drone includes fault information and remaining power, and the weather information includes weather type and wind speed; specifically, the determination module is configured to: according to the status information of the on-vehicle drone and the weather information, determine whether the initial conditions for the on-vehicle drone to enter the wind power generation mode are met, including: when the wind speed is within a preset wind speed range, the fault information indicates that the on-vehicle drone has no fault, the remaining power is lower than a remaining power threshold, and the weather type indicates that the weather is normal, it is determined that the initial conditions for the on-vehicle drone to enter the wind power generation mode are met.

[0024] In combination with the second aspect and the above implementation, in some implementations of the second aspect, the on-vehicle drone includes a propeller, a motor, and a battery. Specifically, the control module is configured to: control the on-vehicle drone to enter the self-power generation mode, including: controlling the cabin cover of the on-vehicle drone to open to a preset angle so that the wind power can drive the propeller to rotate, converting the wind energy into mechanical energy; controlling the motor to recover the mechanical energy and convert the mechanical energy into electrical energy and store it in the battery, so that the on-vehicle drone enters the wind power generation mode.

[0025] Combined with the second aspect and the above implementation manners, in some implementation manners of the second aspect, the status information of the vehicle-mounted drone includes fault information and remaining power, the weather information includes weather type, and the self-power generation mode includes a solar power generation mode; specifically, the determination module is configured to: according to the status information of the vehicle-mounted drone and the weather information, determine whether the initial conditions for the vehicle-mounted drone to enter the self-power generation mode are met, including: when the fault information indicates that the vehicle-mounted drone has no fault, the remaining power is lower than a preset power threshold, and the weather type is sunny, it is determined that the initial conditions for the vehicle-mounted drone to enter the solar power generation mode are met.

[0026] Combined with the second aspect and the above implementation manners, in some implementation manners of the second aspect, the vehicle-mounted drone includes a solar panel and a battery, and specifically, the control module is configured to: control the vehicle-mounted drone to enter the self-power generation mode, including: controlling the cabin cover of the vehicle-mounted drone to open to a preset angle, so that the solar panel collects solar energy and converts the solar energy into electric energy and stores it in the battery, so that the vehicle-mounted drone enters the solar power generation mode.

[0027] Combined with the second aspect and the above implementation manners, in some implementation manners of the second aspect, specifically, the control module is configured to: if it is determined that the initial conditions are met, control the vehicle-mounted drone to enter the self-power generation mode, including: if it is determined that the initial conditions are met, output a reminder message; wherein, the reminder message is used to remind the user to turn on the self-power generation mode; when it is detected that the self-power generation mode is in an on state, control the vehicle-mounted drone to enter the self-power generation mode.

[0028] In a third aspect, a vehicle is provided, including a memory and a processor. The memory is used to store executable program code, and the processor is used to call and run the executable program code from the memory, so that the vehicle executes the method in the first aspect or any possible implementation manner of the first aspect.

[0029] In a fourth aspect, a computer program product is provided, which includes: computer program code, when the computer program code runs on a computer, the computer is caused to execute the method in the first aspect or any possible implementation manner of the first aspect.

[0030] In a fifth aspect, a computer-readable storage medium is provided, which stores computer program code, and when the computer program code runs on a computer, the computer is caused to execute the method in the first aspect or any possible implementation manner of the first aspect. Description of the Drawings

[0031] Figure 1 It is a schematic flowchart of a method for charging a vehicle-mounted drone provided by an embodiment of the present application;

[0032] Figure 2 It is a schematic flowchart of another method for charging a vehicle-mounted drone provided by an embodiment of the present application;

[0033] Figure 3 It is a schematic flowchart of a third method for charging a vehicle-mounted drone provided by an embodiment of the present application;

[0034] Figure 4 It is a schematic flowchart of a fourth method for charging a vehicle-mounted drone provided by an embodiment of the present application;

[0035] Figure 5 It is a schematic structural diagram of a charging device for a vehicle-mounted drone provided by an embodiment of the present application;

[0036] Figure 6 It is a schematic structural diagram of a vehicle provided by an embodiment of the present application. Detailed implementation manners

[0037] Next, the technical solutions in the present application will be clearly and elaborately described in conjunction with the accompanying drawings. Among them, in the description of the embodiments of the present application, unless otherwise specified, " / " means "or". For example, A / B may represent A or B. The "and / or" in the text is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of the present application, "a plurality of" means two or more than two.

[0038] Hereinafter, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as implying or indicating relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features.

[0039] A vehicle-mounted drone refers to a new type of device that combines drone technology with a vehicle. Usually, the drone is loaded on the vehicle, and functions such as takeoff, operation, and landing of the drone are realized through the energy provided by the vehicle. However, when the vehicle-mounted drone is charged using the vehicle's battery pack, it will consume part of the electrical energy of the battery pack, resulting in a reduction in the actual driving range of the vehicle. Therefore, how to reduce the impact of the vehicle-mounted drone on the driving range of the vehicle has become an urgent problem to be solved.

[0040] To at least solve the above problems, an embodiment of the present application provides a method for charging a vehicle-mounted drone, which is applied to a controller. The controller can be a vehicle's vehicle controller or a controller in the vehicle-mounted drone. This method can reduce the impact of the vehicle-mounted drone on the vehicle's cruising range and enhance the cruising ability of the vehicle-mounted drone.

[0041] Figure 1 It is a schematic flowchart of a method for charging a vehicle-mounted drone provided by an embodiment of the present application.

[0042] Exemplarily, as Figure 1 shown, the method 100 includes:

[0043] Step 101, obtaining the status information of the vehicle-mounted drone of the vehicle and the weather information of the environment where the vehicle is located;

[0044] Step 102, judging whether the initial conditions for the vehicle-mounted drone to enter the self-power generation mode are satisfied according to the status information of the vehicle-mounted drone and the weather information;

[0045] Step 103, if it is determined that the initial conditions are satisfied, controlling the vehicle-mounted drone to enter the self-power generation mode; wherein, in the self-power generation mode, the power generation ability of the vehicle-mounted drone is used to charge the vehicle-mounted drone.

[0046] In the embodiment of the present application, by comprehensively considering the status information of the vehicle-mounted drone and the weather information of the environment where the vehicle is located to judge whether the initial conditions for the vehicle-mounted drone to enter the self-power generation mode are satisfied, this comprehensive judgment method can ensure that the vehicle-mounted drone enters the self-power generation mode at an appropriate time. In the self-power generation mode, the self-power generation ability of the vehicle-mounted drone is used to charge itself, which can not only improve the energy utilization efficiency but also enhance the cruising ability of the vehicle-mounted drone. In this way, the vehicle-mounted drone can generate electricity autonomously when it needs to be charged, reducing the dependence on external power sources, improving the flexibility of charging the vehicle-mounted drone, and reducing the impact of the vehicle-mounted drone on the vehicle's cruising range.

[0047] Next, Figure 1 specifically describe the implementation manners of each step in the embodiment shown.

[0048] For step 101, it can be understood that the above status information of the vehicle-mounted drone is used to describe the current status of the vehicle-mounted drone of the vehicle. The status information of the vehicle-mounted drone can include the fault information of the vehicle-mounted drone and the remaining power of the vehicle-mounted drone battery; the above fault information of the vehicle-mounted drone can include the fault information of the vehicle-mounted drone itself and the fault information of the connection device between the vehicle-mounted drone and the vehicle, and the remaining power of the vehicle-mounted drone battery can be obtained through a battery capacity tester.

[0049] The above weather information may include weather type and wind speed. The above weather type can be obtained through a weather application, and the above wind speed can be directly measured by an anemometer or obtained through a weather application.

[0050] For step 102, it can be understood that the above self-power generation mode refers to the mode in which the on-vehicle drone uses its own power generation ability to charge the on-vehicle drone.

[0051] The above initial conditions are intended to measure whether the on-vehicle drone meets the conditions for entering the self-power generation mode and whether it is necessary to enter the self-power generation mode. The initial conditions are determined according to the status information and weather information of the on-vehicle drone.

[0052] When the vehicle is in different motion states, the judgment of whether the initial conditions for the on-vehicle drone to enter the self-power generation mode are met is also different.

[0053] In some embodiments, the self-power generation mode includes a wind power generation mode. According to the status information and weather information of the on-vehicle drone, judging whether the initial conditions for the on-vehicle drone to enter the self-power generation mode are met includes: if the vehicle is in a driving state, then according to the vehicle speed, the status information of the on-vehicle drone, and the weather information, judging whether the initial conditions for the on-vehicle drone to enter the wind power generation mode are met.

[0054] It can be understood that when the vehicle is in a driving state, since the self-power generation mode is a wind power generation mode at this time, while considering the influence of the status information of the on-vehicle drone and the weather information of the vehicle's environment on the power generation demand, it is also necessary to consider the influence of the vehicle speed on the power generation demand, so as to comprehensively judge whether the initial conditions for the on-vehicle drone to enter the wind power generation mode are met.

[0055] In some embodiments, the status information of the on-vehicle drone includes fault information and remaining power, and the weather information includes weather type; judging whether the initial conditions for the on-vehicle drone to enter the wind power generation mode are met according to the vehicle speed, the status information of the on-vehicle drone, and the weather information includes: when the speed is lower than the preset speed, the fault information indicates that the on-vehicle drone has no fault, the remaining power is lower than the preset power threshold, and the weather type indicates that the weather is normal, it is determined that the initial conditions for the on-vehicle drone to enter the wind power generation mode are met.

[0056] It can be understood that the above preset speed can be pre-calibrated to avoid damage to the propeller of the on-vehicle drone when the vehicle speed is too fast. Optionally, the preset speed can be 100 km / h. Limiting the vehicle speed when the vehicle is in a driving state can also achieve the effect of wind power generation.

[0057] The above-mentioned on-vehicle drone being free of faults means that the on-vehicle drone itself is free of faults and the connecting device between the on-vehicle drone and the vehicle is free of faults. The above-mentioned on-vehicle drone itself being free of faults can be used to refer to the on-vehicle drone having no faults that prohibit the motor from generating electricity. The connecting device between the above-mentioned on-vehicle drone and the vehicle can be used to refer to the limit or fixing structure of the on-vehicle drone being free of faults, so as to prevent the on-vehicle drone from being blown away by the wind when the engine compartment cover is opened.

[0058] The above-mentioned preset power threshold can be pre-calibrated, aiming to measure whether the on-vehicle drone currently has a charging requirement. For example, if the remaining power of the on-vehicle drone is less than the preset power threshold, it is determined that the on-vehicle drone currently has a charging requirement.

[0059] The above-mentioned weather types can include typhoon type, heavy rain type, hail type, etc. The above-mentioned weather being normal means that the environment where the vehicle is located is not abnormal weather such as typhoon, heavy rain, and hail, so as to avoid damage to the drone caused by abnormal weather.

[0060] If any of the above conditions is not met, it is determined that the initial conditions for the on-vehicle drone to enter the self-power generation mode are not met. At this time, the above judgment process can be continued.

[0061] In the above technical solution, when the vehicle speed is lower than the preset speed, the on-vehicle drone is free of faults, the remaining power is lower than the preset power threshold, and the weather is normal, it is determined that the initial conditions for the on-vehicle drone to enter the wind power generation mode are met. This comprehensive judgment method ensures that the on-vehicle drone enters the wind power generation mode at an appropriate time and under appropriate conditions, avoiding damage to the on-vehicle drone due to excessive vehicle speed, ensuring that the on-vehicle drone generates electricity in a fault-free state, and considering the remaining power and weather factors at the same time to improve the necessity and safety of power replenishment, so as to ensure wind power generation in a safe and efficient manner at an appropriate time, thereby extending the endurance time of the on-vehicle drone.

[0062] In some embodiments, the self-power generation mode includes a wind power generation mode; according to the status information of the on-vehicle drone and the weather information, it is judged whether the initial conditions for the on-vehicle drone to enter the self-power generation mode are met, including: if the vehicle is in a parked state, then according to the status information of the on-vehicle drone and the weather information, it is judged whether the initial conditions for the on-vehicle drone to enter the wind power generation mode are met.

[0063] It can be understood that when the vehicle is in a parked state, since the self-power generation mode is the wind power generation mode at this time, it is necessary to consider the influence of the status information of the on-vehicle drone and the weather information of the environment where the vehicle is located on the power generation demand, so as to comprehensively judge whether the initial conditions for the on-vehicle drone to enter the self-power generation mode are met.

[0064] In some embodiments, the status information of the in-vehicle drone includes fault information and remaining power, and the weather information includes weather type and wind speed; determining whether the initial conditions for the in-vehicle drone to enter the wind power generation mode are met based on the status information of the in-vehicle drone and the weather information, including: when the wind speed is within a preset wind speed range, the fault information indicates that the in-vehicle drone has no fault, the remaining power is lower than the remaining power threshold, and the weather type indicates that the weather is normal, it is determined that the initial conditions for the in-vehicle drone to enter the wind power generation mode are met.

[0065] It can be understood that the above preset wind speed range can be calibrated in advance. When calibrating the wind speed range, it is necessary to consider not only that the in-vehicle drone may be damaged when the wind speed is too high, but also that the power generation requirements may not be met when the wind speed is too low. Optionally, the preset wind speed range can be level 3 to level 6.

[0066] If the vehicle is in a sleep state, the controller of the in-vehicle drone wakes up the vehicle controller and the controller of the in-vehicle drone at regular intervals (for example, every 1 hour) and determines whether the above conditions are met. If any of the above conditions is not met, it is determined that the initial conditions for the in-vehicle drone to enter the self-power generation mode are not met. At this time, the above determination process can be continued.

[0067] In the above technical solution, when the wind speed is within the preset wind speed range, the in-vehicle drone has no fault, the remaining power is lower than the remaining power threshold, and the weather is normal, it is determined that the initial conditions for the in-vehicle drone to enter the wind power generation mode are met. This comprehensive judgment method ensures that the in-vehicle drone enters the wind power generation mode under suitable weather and wind speed conditions, and when the in-vehicle drone itself is in a fault-free state and the power is insufficient. It not only ensures that the in-vehicle drone generates electricity under safe weather and wind speed conditions, avoiding damage to the in-vehicle drone caused by bad weather or excessive wind speed, but also ensures that the in-vehicle drone is charged in a fault-free state, taking into account the remaining power at the same time to improve the necessity and safety of charging, so as to ensure that wind power generation is carried out in a safe and efficient manner at the appropriate time, thereby extending the battery life of the in-vehicle drone.

[0068] The in-vehicle drone can collect various forms of energy to charge itself. In addition to the wind energy mentioned above, it can also be solar energy, etc.

[0069] When the in-vehicle drone collects solar energy to charge itself, it is necessary to adjust the initial conditions for the in-vehicle drone to enter the self-power generation mode.

[0070] In some embodiments, the status information of the in-vehicle drone includes fault information and remaining power, the weather information includes light intensity, and the self-power generation mode includes a solar power generation mode; judging whether the initial conditions for the in-vehicle drone to enter the self-power generation mode are met according to the status information of the in-vehicle drone and the weather information, including: when the fault information indicates that the in-vehicle drone has no fault, the remaining power is lower than the preset power threshold, and the light intensity is greater than or equal to the preset light intensity threshold, it is determined that the initial conditions for the in-vehicle drone to enter the solar power generation mode are met.

[0071] It can be understood that in the case of the solar power generation mode, sufficient solar energy needs to be obtained to meet the power generation requirements of the in-vehicle drone. The above preset light intensity threshold can be calibrated in advance, aiming to measure whether the current light intensity meets the minimum requirements for solar power generation. Therefore, the above light intensity being greater than or equal to the preset light intensity threshold indicates that the current light intensity can meet the minimum requirements for solar power generation. At this time, when other conditions are also met, it can be determined that the initial conditions for the in-vehicle drone to enter the solar power generation mode are met. Exemplarily, the above preset light intensity can be calibrated to 50000 lux, and in order to achieve effective charging, it is usually necessary to irradiate for a certain period of time (such as three hours) under a light intensity exceeding 50000 lux to perform effective charging.

[0072] In practical applications, in addition to considering the above status information of the in-vehicle drone and the weather information, the status information of the vehicle can also be considered, and the specific implementation method is as follows:

[0073] If the vehicle is in a parked state, it can be considered whether the weather type at the current location of the vehicle is sunny. When the weather type at the current location of the vehicle is sunny, it can be determined that the initial conditions for the in-vehicle drone to enter the solar power generation mode are met; if the vehicle is in a driving state, according to the positioning information and driving direction of the vehicle, it can be considered whether the weather type at each position on the driving route of the vehicle is sunny. When the weather type at each position on the driving route of the vehicle is sunny, it can be determined that the initial conditions for the in-vehicle drone to enter the solar power generation mode are met.

[0074] In the above technical solution, when the in-vehicle drone is in a fault-free state and its remaining power is lower than the preset power threshold, it indicates that the drone has a power replenishment requirement. At the same time, in the case of sunny weather, the solar power generation mode can work more effectively and can maximize the use of solar energy for power generation. When all conditions are met simultaneously, it is determined that the initial conditions for the in-vehicle drone to enter the solar power generation mode are met. This method not only ensures that the in-vehicle drone can obtain energy replenishment when needed, but also makes full use of natural resources and improves energy utilization efficiency.

[0075] For step 103, it can be understood that when the above initial conditions are met, the vehicle controller sends a command to the on-vehicle drone, causing the on-vehicle drone to enter the self-power generation mode.

[0076] In some embodiments, if it is determined that the initial conditions are met, controlling the on-vehicle drone to enter the self-power generation mode includes: if it is determined that the initial conditions are met, an alert message is output; wherein, the alert message is used to remind the user to turn on the self-power generation mode; when it is detected that the self-power generation mode is in the on state, the on-vehicle drone is controlled to enter the self-power generation mode.

[0077] It can be understood that the above alert message can be displayed on the vehicle's display and the user's mobile phone connected to the vehicle head unit. The above display includes but is not limited to the HUT (Head Unit Terminal, in-vehicle host), the secondary instrument, and the HUD (Head-Up Display, head-up display), and can also be other displays capable of outputting alert messages.

[0078] There is a switch option for the self-power generation mode set on the vehicle's HUT, and the self-power generation mode is defaulted to the off state. When the initial conditions are met, the vehicle controller sends an alert message to the HUT and the user's mobile phone. After the user receives the alert message, the user needs to manually turn on the switch of the self-power generation mode to make the self-power generation mode in the on state. At this time, the on-vehicle drone can enter the self-power generation mode.

[0079] If any of the above conditions is not met, the vehicle controller does not send an alert message to the HUT and the user's mobile phone.

[0080] In the above technical solution, after it is determined that the initial conditions for the on-vehicle drone to enter the self-power generation mode are met, the drone is not directly controlled to enter the self-power generation mode. Instead, an alert message is first output to the user. This method can improve the user experience to prompt the user to turn on the self-power generation mode; after the user turns on the self-power generation mode according to the alert message, the on-vehicle drone is then controlled to enter the self-power generation mode. This way of user confirmation can improve the user experience and also enhance the safety of power replenishment.

[0081] For the wind power generation mode, the specific power generation method is as follows:

[0082] In some embodiments, the on-vehicle drone includes a propeller, a motor, and a battery. Controlling the on-vehicle drone to enter the self-power generation mode includes: controlling the cabin cover of the on-vehicle drone to open to a preset angle so that the wind can drive the propeller to rotate, converting the wind energy into mechanical energy; controlling the motor to recover the mechanical energy and convert the mechanical energy into electrical energy and store it in the battery, so that the on-vehicle drone enters the wind power generation mode.

[0083] It can be understood that if the user uses the HUT for confirmation, the HUT will send the information of confirming the activation of the self-power generation mode to the vehicle controller, and the vehicle controller will control the cabin cover of the on-vehicle drone to open to a preset angle; if the user uses the user's mobile phone for confirmation, the user's mobile phone will send the information of confirming the activation of the self-power generation mode to the cloud or the controller of the on-vehicle drone. Then, the cloud or the controller of the on-vehicle drone will wake up the vehicle, and the vehicle controller will control the cabin cover of the on-vehicle drone to open to a preset angle.

[0084] When the cabin cover of the on-vehicle drone is opened to a preset angle, the wind can blow onto the propeller of the on-vehicle drone. At this time, the wind can drive the propeller to rotate, so that the wind energy is converted into mechanical energy; then, the motor controller controls the motor to recover the mechanical energy and converts the mechanical energy into electrical energy to be stored in the battery, so that the on-vehicle drone enters the self-wind energy power generation mode.

[0085] The cabin of the above-mentioned on-vehicle drone can be located on the roof of the vehicle. The on-vehicle drone mainly includes three parts: a propeller, a motor, and a battery. Taking a quadrotor drone as an example, the on-vehicle drone usually has four propellers, which are located at the four corners of the top of the on-vehicle drone respectively. The motor is usually directly installed outside the fuselage of the on-vehicle drone or installed outside the fuselage in the form of a boom, etc. The battery is usually installed inside or at the bottom of the fuselage of the on-vehicle drone.

[0086] The above-mentioned motor can refer to a dual-mode motor, which can be used as an electric motor to drive the propeller to rotate to realize the flight of the on-vehicle drone, and can also be used as a generator to convert wind energy into mechanical energy, and then convert the mechanical energy into electrical energy to realize the wind power generation of the on-vehicle drone.

[0087] The above-mentioned motor can be directly connected to the propeller. When the wind drives the propeller to rotate, the motor also starts to work to recover the mechanical energy converted from the wind energy. The above-mentioned battery can be connected to the motor through an electronic speed controller. After the motor converts the above-mentioned mechanical energy into electrical energy, it transmits the electrical energy to the electronic speed controller. In order to ensure the safety of the battery, the electronic speed controller needs to adjust the voltage of the above-mentioned electrical energy, and finally, the electrical energy with the adjusted voltage is stored in the battery.

[0088] In the above technical solution, when controlling the on-vehicle drone to enter the wind power generation mode, first control the cabin cover of the on-vehicle drone to open to a preset angle. This step can ensure that the wind can drive the propeller to rotate, so that the wind energy is converted into mechanical energy. Then, the mechanical energy is recovered by the motor and further converted into electrical energy to be stored in the battery, so as to realize charging the on-vehicle drone by using the power generation ability of the on-vehicle drone.

[0089] For the solar power generation mode, the specific power generation method is as follows:

[0090] In some embodiments, the vehicle-mounted drone includes a solar panel and a battery. Controlling the vehicle-mounted drone to enter the self-power generation mode includes: controlling the cabin cover of the vehicle-mounted drone to open to a preset angle, so that the solar panel collects solar energy and converts the solar energy into electrical energy and stores it in the battery, so that the vehicle-mounted drone enters the solar power generation mode.

[0091] It can be understood that when the cabin cover of the vehicle-mounted drone is opened to the preset angle, the sunlight can directly shine on the solar panel, and the collected solar energy is converted into electrical energy and stored in the battery, so that the vehicle-mounted drone enters the self-solar power generation mode.

[0092] In the above technical solution, when controlling the vehicle-mounted drone to enter the solar power generation mode, first control the cabin cover of the vehicle-mounted drone to open to the preset angle. This step can ensure that the solar panel is maximally exposed to sunlight, thereby effectively collecting solar energy. After that, the solar panel converts the collected solar energy into electrical energy and stores this electrical energy in the battery for the vehicle-mounted drone to use, so as to realize charging the vehicle-mounted drone by using the power generation ability of the vehicle-mounted drone.

[0093] After the vehicle-mounted drone enters the self-power generation mode, if it is detected that any one of the above initial conditions is no longer satisfied, the vehicle-mounted drone stops self-power generation, that is, exits the self-power generation mode. At this time, the vehicle controller controls the cabin cover of the vehicle-mounted drone to close.

[0094] Figure 2 It is a schematic flowchart of another method for charging a vehicle-mounted drone provided by an embodiment of the present application.

[0095] Exemplarily, as Figure 2 shown, the method 200 includes:

[0096] Step 201, determine whether the speed of the vehicle is lower than a preset speed. If so, execute step 202, otherwise end the process.

[0097] It can be understood that when determining whether the speed of the vehicle is lower than the preset speed, it can also be determined whether the speed of the vehicle is within a preset speed range. For example, the preset speed range can be 20 km / h - 100 km / h. If the speed of the vehicle is greater than 100 km / h, it may cause damage to the propellers of the vehicle-mounted drone; if the speed of the vehicle is less than 20 km / h, it may not meet the power generation requirements of the vehicle-mounted drone. Therefore, a preset speed range can be considered. The above preset speed range can be determined according to the structural performance of the drone and the performance of the motor, etc.

[0098] Step 202: Determine whether the fault information of the in-vehicle UAV indicates that the in-vehicle UAV has no fault. If so, execute Step 203; otherwise, end the process.

[0099] Step 203: Determine whether the remaining power of the in-vehicle UAV is lower than the preset power threshold. If so, execute Step 204; otherwise, end the process.

[0100] Step 204: Determine whether the weather type indicates that the weather is normal. If so, execute Step 205; otherwise, end the process.

[0101] Step 205: Control the in-vehicle UAV to enter the wind power generation mode.

[0102] In the above technical solution, when the vehicle is in a driving state, by comprehensively considering the speed of the vehicle, the fault information and remaining power of the in-vehicle UAV, and the weather type, it can ensure that the in-vehicle UAV enters the wind power generation mode at an appropriate time and under appropriate conditions. This not only avoids damage to the in-vehicle UAV caused by excessive vehicle speed but also ensures that the in-vehicle UAV generates electricity in a fault-free state. At the same time, it takes into account the remaining power and weather factors to improve the necessity and safety of charging, thereby ensuring wind power generation in a safe and efficient manner at an appropriate time, and thus extending the endurance time of the in-vehicle UAV.

[0103] Figure 3 It is a schematic flowchart of the third method for charging the in-vehicle UAV provided by the embodiments of the present application.

[0104] Exemplarily, as Figure 3 shown, the method 300 includes:

[0105] Step 301: Determine whether the wind speed is within the preset wind speed range. If so, execute Step 302; otherwise, end the process.

[0106] Step 302: Determine whether the fault information of the in-vehicle UAV indicates that the in-vehicle UAV has no fault. If so, execute Step 303; otherwise, end the process.

[0107] Step 303: Determine whether the remaining power of the in-vehicle UAV is lower than the preset power threshold. If so, execute Step 304; otherwise, end the process.

[0108] Step 304: Determine whether the weather type indicates that the weather is normal. If so, execute Step 305; otherwise, end the process.

[0109] Step 305: Control the in-vehicle UAV to enter the wind power generation mode.

[0110] In the above technical solution, when the vehicle is in a parked state, by comprehensively considering the fault information, remaining power of the on-vehicle drone, weather type, and wind speed, it can ensure that the on-vehicle drone enters the wind power generation mode under suitable weather and wind speed conditions, and when the on-vehicle drone itself is in a fault-free state and has insufficient power. This not only ensures that the on-vehicle drone is charged under safe weather and wind speed conditions, avoiding damage to the on-vehicle drone caused by bad weather or excessive wind speed, but also ensures that the on-vehicle drone generates electricity in a fault-free state, while considering the remaining power to improve the necessity and safety of charging, so as to ensure that wind power generation is carried out in a safe and efficient manner at an appropriate time, thereby extending the endurance time of the drone.

[0111] Figure 4 It is a schematic flowchart of the fourth method for charging an on-vehicle drone provided by an embodiment of the present application.

[0112] Exemplarily, as Figure 4 shown, the method 400 includes:

[0113] Step 401, determine whether the fault information of the on-vehicle drone indicates that the on-vehicle drone is fault-free. If so, execute step 402, otherwise end the process.

[0114] Step 402, determine whether the remaining power of the on-vehicle drone is lower than a preset power threshold. If so, execute step 403, otherwise end the process.

[0115] Step 403, determine whether the weather type is sunny. If so, execute step 404, otherwise end the process.

[0116] Step 404, control the on-vehicle drone to enter the solar power generation mode.

[0117] In the above technical solution, by comprehensively considering the fault information, remaining power of the on-vehicle drone, and weather type, it ensures that the on-vehicle drone can obtain energy supply when needed, and fully utilizes natural resources such as solar energy, improving the energy utilization efficiency.

[0118] In practical applications, there are situations where the initial conditions for entering the wind power generation mode and the solar power generation mode are both met. At this time, it is possible to choose to use both the wind power generation mode and the solar power generation mode for charging, or determine the power generation mode according to the time required to fully charge the on-vehicle drone. If the time required in the wind power generation mode is less than the time required in the solar power generation mode, then the wind power generation mode is selected. If the time required in the wind power generation mode is greater than the time required in the solar power generation mode, then the solar power generation mode is selected. If the time required in the wind power generation mode is equal to the time required in the solar power generation mode, then it is also possible to choose to use both the wind power generation mode and the solar power generation mode for charging at this time.

[0119] In summary, the power supply method for an on-vehicle drone provided by the embodiments of the present application has the following beneficial effects:

[0120] First, by collecting wind energy and solar energy for self-power generation of the on-vehicle drone and storing the electric energy obtained from the conversion of wind energy and solar energy in the battery of the on-vehicle drone, it is possible to effectively reduce the power consumption of the vehicle battery pack, and thus, to a certain extent, reduce the adverse impact of the on-vehicle drone on the vehicle's cruising range, and at the same time, reduce the loss during the vehicle charging process.

[0121] Second, the power supply method for the on-vehicle drone provided by the embodiments of the present application can adapt to the power supply requirements of the vehicle in a variety of different driving states, and has a wide range of applications.

[0122] Third, through the restrictions of multiple conditions such as vehicle speed, wind speed, and weather, while meeting the power supply requirements of the on-vehicle drone, it can also effectively prevent the on-vehicle drone from being damaged, thus ensuring the safety of the power supply process.

[0123] Figure 5 It is a schematic structural diagram of a control device for a vehicle provided by the embodiments of the present application.

[0124] Exemplarily, as Figure 5 shown, the device 500 includes:

[0125] An acquisition module 501, configured to acquire the status information of the on-vehicle drone of the vehicle and the weather information of the environment where the vehicle is located;

[0126] A judgment module 502, configured to judge whether the initial conditions for the on-vehicle drone to enter the self-power generation mode are met according to the status information of the on-vehicle drone and the weather information;

[0127] A control module 503, configured to control the on-vehicle drone to enter the self-power generation mode if it is determined that the initial conditions are met; wherein, in the self-power generation mode, the power generation ability of the on-vehicle drone is used to charge the on-vehicle drone.

[0128] In a possible implementation, the self-power generation mode includes a wind power generation mode; specifically, the determination module is configured to: determine whether the initial conditions for the in-vehicle UAV to enter the self-power generation mode are met according to the status information of the in-vehicle UAV and the weather information, including: if the vehicle is in a driving state, determine whether the initial conditions for the in-vehicle UAV to enter the wind power generation mode are met according to the vehicle speed, the status information of the in-vehicle UAV, and the weather information; if the vehicle is in a parked state, determine whether the initial conditions for the in-vehicle UAV to enter the wind power generation mode are met according to the status information of the in-vehicle UAV and the weather information.

[0129] In a possible implementation, the status information of the in-vehicle UAV includes fault information and remaining power, and the weather information includes weather type; specifically, the determination module is configured to: determine whether the initial conditions for the in-vehicle UAV to enter the wind power generation mode are met according to the vehicle speed, the status information of the in-vehicle UAV, and the weather information, including: when the speed is lower than a preset speed, the fault information indicates that the in-vehicle UAV has no fault, the remaining power is lower than a preset power threshold, and the weather type indicates that the weather is normal, it is determined that the initial conditions for the in-vehicle UAV to enter the wind power generation mode are met.

[0130] In a possible implementation, the status information of the in-vehicle UAV includes fault information and remaining power, and the weather information includes weather type and wind speed; specifically, the determination module is configured to: determine whether the initial conditions for the in-vehicle UAV to enter the wind power generation mode are met according to the status information of the in-vehicle UAV and the weather information, including: when the wind speed is within a preset wind speed range, the fault information indicates that the in-vehicle UAV has no fault, the remaining power is lower than the remaining power threshold, and the weather type indicates that the weather is normal, it is determined that the initial conditions for the in-vehicle UAV to enter the wind power generation mode are met.

[0131] In a possible implementation, the in-vehicle UAV includes a propeller, a motor, and a battery. Specifically, the control module is configured to: control the in-vehicle UAV to enter the self-power generation mode, including: controlling the cabin cover of the in-vehicle UAV to open to a preset angle so that the wind can drive the propeller to rotate, converting the wind energy into mechanical energy; controlling the motor to recover the mechanical energy and convert the mechanical energy into electrical energy for storage in the battery, so that the in-vehicle UAV enters the wind power generation mode.

[0132] In a possible implementation, the status information of the vehicle-mounted UAV includes fault information and remaining power, the weather information includes weather type, and the self-power generation mode includes solar power generation mode; specifically, the determination module is configured to: determine whether the initial conditions for the vehicle-mounted UAV to enter the self-power generation mode are met according to the status information of the vehicle-mounted UAV and the weather information, including: when the fault information indicates that the vehicle-mounted UAV has no fault, the remaining power is lower than a preset power threshold, and the weather type is sunny, it is determined that the initial conditions for the vehicle-mounted UAV to enter the solar power generation mode are met.

[0133] In a possible implementation, the vehicle-mounted UAV includes a solar panel and a battery, and specifically, the control module is configured to: control the vehicle-mounted UAV to enter the self-power generation mode, including: controlling the cabin cover of the vehicle-mounted UAV to open to a preset angle so that the solar panel collects solar energy and converts the solar energy into electrical energy and stores it in the battery, so that the vehicle-mounted UAV enters the solar power generation mode.

[0134] In a possible implementation, the control module is specifically configured to: if it is determined that the initial conditions are met, control the vehicle-mounted UAV to enter the self-power generation mode, including: if it is determined that the initial conditions are met, output a reminder message; wherein, the reminder message is used to remind the user to turn on the self-power generation mode; when it is detected that the self-power generation mode is in the on state, control the vehicle-mounted UAV to enter the self-power generation mode.

[0135] Figure 6 It is a schematic structural diagram of a vehicle provided by an embodiment of the present application.

[0136] Exemplarily, as Figure 6 shown, the vehicle 600 includes: a memory 601 and a processor 602, wherein, an executable program code 6011 is stored in the memory 601, and the processor 602 is configured to call and execute the executable program code 6011 to execute a method for charging a vehicle-mounted UAV.

[0137] In addition, an embodiment of the present application also protects a device, which may include a memory and a processor, wherein, an executable program code is stored in the memory, and the processor is configured to call and execute the executable program code to execute a method for charging a vehicle-mounted UAV provided by an embodiment of the present application.

[0138] In this embodiment, the device can be divided into functional modules according to the above method examples. For example, it can correspond to each functional module, or two or more functions can be integrated into one processing module, and the above integrated module can be implemented in the form of hardware. It should be noted that the division of modules in this embodiment is illustrative, only a logical function division, and there may be other division methods in actual implementation.

[0139] In the case where each functional module is divided corresponding to each function, the device may further include an acquisition module, a judgment module, a control module, etc. It should be noted that all relevant contents of each step involved in the above method embodiment can be cited in the function description of the corresponding functional module, and will not be elaborated here.

[0140] It should be understood that the device provided in this embodiment is used to execute the above-mentioned method for charging a vehicle-mounted drone, so the same effect as the above implementation method can be achieved.

[0141] In the case of adopting an integrated unit, the device may include a processing module and a storage module. Among them, when the device is applied to a vehicle, the processing module can be used to control and manage the actions of the vehicle. The storage module can be used to support the vehicle to execute relevant program codes, etc.

[0142] Among them, the processing module can be a processor or a controller, which can implement or execute various exemplary logical blocks, modules and circuits shown in combination with the disclosure of the present application. The processor can also be a combination that realizes computing functions, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and a microprocessor, etc. The storage module can be a memory.

[0143] In addition, the device provided in the embodiment of the present application can specifically be a chip, a component or a module. The chip may include a processor and a memory connected thereto; among them, the memory is used to store instructions, and when the processor calls and executes the instructions, the chip can execute the method for charging a vehicle-mounted drone provided in the above embodiment.

[0144] This embodiment also provides a computer-readable storage medium, in which computer program codes are stored. When the computer program codes run on a computer, the computer is enabled to execute the above-mentioned related method steps to implement the method for charging a vehicle-mounted drone provided in the above embodiment.

[0145] This embodiment also provides a computer program product. When the computer program product runs on a computer, the computer is enabled to execute the above-mentioned related steps to implement the method for charging a vehicle-mounted drone provided in the above embodiment.

[0146] Among them, the device, computer-readable storage medium, computer program product or chip provided in this embodiment are all used to execute the corresponding method provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method provided above, and will not be elaborated here.

[0147] Through the description of the above embodiments, those skilled in the art can understand that for the convenience and brevity of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above.

[0148] In the embodiments provided in the present application, it should be understood that the disclosed device and method can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in electrical, mechanical or other forms.

[0149] The above content is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present application can easily think of changes or substitutions, which should all be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for charging a vehicle-mounted drone, characterized in that: The method comprises: Obtaining status information of a vehicle-mounted drone and weather information of an environment in which the vehicle is located; Determining whether the initial conditions for the vehicle-mounted drone to enter a self-power generation mode are met according to the status information of the vehicle-mounted drone and the weather information; If it is determined that the initial condition is met, the vehicle-mounted drone is controlled to enter the self-power generation mode; wherein, in the self-power generation mode, the power generation capacity of the vehicle-mounted drone is used to supplement the power of the vehicle-mounted drone.

2. The method according to claim 1, characterized in that The self-generation mode includes a wind power generation mode; The determining, based on the state information of the vehicle-mounted drone and the weather information, whether the initial condition for the vehicle-mounted drone to enter the self-power generation mode is met includes: If the vehicle is in a driving state, judging whether the initial conditions for the vehicle-mounted drone to enter the wind power generation mode are met according to the speed of the vehicle, the state information of the vehicle-mounted drone and the weather information; If the vehicle is in a parked state, it is determined whether the initial conditions for the vehicle-mounted drone to enter the wind power generation mode are met according to the state information of the vehicle-mounted drone and the weather information.

3. The method according to claim 2, characterized in that The status information of the vehicle-mounted drone includes fault information and remaining power, and the weather information includes weather type; The determining, based on the speed of the vehicle, the state information of the vehicle-mounted drone, and the weather information, whether the initial condition for the vehicle-mounted drone to enter the wind power generation mode is met includes: When the speed is lower than a preset speed, the fault information indicates that the vehicle-mounted drone has no fault, the remaining power is lower than a preset power threshold, and the weather type indicates that the weather is normal, it is determined that the initial conditions for the vehicle-mounted drone to enter the wind power generation mode are met.

4. The method according to claim 2, characterized in that: The status information of the vehicle-mounted drone includes fault information and remaining power, and the weather information includes weather type and wind speed; The determining, based on the state information of the vehicle-mounted drone and the weather information, whether the initial condition for the vehicle-mounted drone to enter the wind power generation mode is met includes: When the wind speed is within a preset wind speed range, the fault information indicates that the vehicle-mounted drone has no faults, the remaining power is lower than the remaining power threshold, and the weather type indicates that the weather is normal, it is determined that the initial conditions for the vehicle-mounted drone to enter the wind power generation mode are met.

5. The method according to any one of claims 2 to 4, characterized in that: The vehicle-mounted UAV includes a propeller, a motor and a battery, and the controlling the vehicle-mounted UAV to enter the self-power generation mode includes: Controlling the cabin cover of the vehicle-mounted UAV to open to a preset angle so that the wind can drive the propeller to rotate, thereby converting wind energy into mechanical energy; The motor is controlled to recover the mechanical energy and convert the mechanical energy into electrical energy and store it in the battery, so that the vehicle-mounted drone enters the wind power generation mode.

6. The method according to claim 1, characterized in that The status information of the vehicle-mounted drone includes fault information and remaining power, the weather information includes light intensity, and the self-generation mode includes a solar power generation mode; The determining, based on the state information of the vehicle-mounted drone and the weather information, whether the initial condition for the vehicle-mounted drone to enter the self-power generation mode is met includes: When the fault information indicates that the vehicle-mounted drone has no fault, the remaining power is lower than a preset power threshold, and the light intensity is greater than or equal to a preset light intensity threshold, it is determined that the initial conditions for the vehicle-mounted drone to enter the solar power generation mode are met.

7. The method according to claim 6, characterized in that The vehicle-mounted drone includes a solar panel and a battery, and the controlling the vehicle-mounted drone to enter the self-power generation mode includes: The cabin hatch of the vehicle-mounted UAV is controlled to open to a preset angle, so that the solar panel collects solar energy and converts the solar energy into electrical energy and stores it in the battery, so that the vehicle-mounted UAV enters the solar power generation mode.

8. The method according to claim 1, characterized in that If it is determined that the initial condition is met, controlling the vehicle-mounted UAV to enter the self-power generation mode includes: If it is determined that the initial condition is met, outputting a reminder message; wherein the reminder message is used to remind the user to turn on the self-generation mode; When it is detected that the self-power generation mode is in the on state, the vehicle-mounted drone is controlled to enter the self-power generation mode.

9. A charging device for a vehicle-mounted drone, characterized in that: The device comprises: An acquisition module, used to acquire status information of a vehicle-mounted drone and weather information of an environment in which the vehicle is located; A judgment module, used to judge whether the initial condition for the vehicle-mounted drone to enter the self-power generation mode is met according to the state information of the vehicle-mounted drone and the weather information; The control module is used to control the vehicle-mounted drone to enter the self-generation mode if it is determined that the initial condition is met; wherein, in the self-generation mode, the power generation capacity of the vehicle-mounted drone is used to supplement the power of the vehicle-mounted drone.

10. A vehicle, characterized in that: The vehicle comprises: A memory for storing executable program codes; A processor, configured to call and run the executable program code from the memory, so that the vehicle executes the method according to any one of claims 1 to 8.

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