Thermal-invisibility-material-based unmanned aerial vehicle power management method, device and system
Through the power management method based on thermal stealth materials, the power distribution is adjusted in real time, which solves the power demand problem of UAVs in different mission stages and environmental factors, and realizes efficient energy utilization and extended flight time of UAVs in complex environments.
Patent Information
- Application Number
- CN202510084396.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-20
- Publication Date
- 2025-10-10
- Estimated Expiration
- 2045-01-20
AI Technical Summary
Existing drone power management systems are unable to meet the dynamic power demands of different mission phases and fail to effectively consider external environmental factors, resulting in waste of power resources and reduced flight time.
A power management method based on thermal stealth materials is adopted to dynamically allocate power in real time and adjust power distribution in combination with correction functions to optimize energy distribution according to the real-time power requirements of each functional system and environmental factors.
It improves the energy efficiency and endurance of drones in complex environments, ensuring efficient completion of missions and extending flight time.
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Figure CN119902457B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of power management for unmanned aerial vehicles (UAVs) based on thermal stealth materials, and in particular to a power management method, device, and system for unmanned aerial vehicles (UAVs) based on thermal stealth materials. Background Art
[0002] Drones (UAVs) play a vital role in modern military and civilian reconnaissance, logistics, and distribution. With the rapid development of UAV technology, demands for drone endurance and mission efficiency are becoming increasingly stringent. Currently, UAV power management systems commonly suffer from the following issues: The power requirements of various functional systems vary significantly during different mission phases, and traditional static power allocation methods cannot meet real-time dynamic demands, resulting in wasted power resources. Existing power management systems often fail to fully consider the impact of external environmental factors (such as temperature and wind speed) on power demand and are unable to effectively adjust power distribution. Under high-load missions, inadequate power management often leads to a significant reduction in drone flight time, impacting mission performance.
[0003] Therefore, proposing an effective power management method to solve the problems existing in the existing technology has important theoretical value and practical application significance. Summary of the Invention
[0004] Purpose of the invention: The purpose of the present invention is to provide a UAV power management method based on thermal stealth materials, which can improve the energy efficiency and endurance of the UAV by real-time dynamic power distribution to meet the mission requirements in complex environments.
[0005] Technical solution: To solve the above technical problems, the technical solution adopted by the present invention is:
[0006] A power management method for a UAV based on thermal stealth materials, wherein the UAV includes several functional systems;
[0007] The power management method distributes energy to each functional system according to the real-time power requirements of each functional system; specifically:
[0008]
[0009] Where, E i (t) is the energy allocated to the i-th functional system at time t, P i (t) is the power demand of the i-th functional system at time t, E total is the total available energy of the UAV power supply, and n is the number of functional systems.
[0010] Preferably, the real-time power demand is calculated as follows:
[0011] P i (t)=ai (t)• U i (t)• I i (t)
[0012] wherein a i (t) is the task weight coefficient of the i-th functional system at time t, U i (t) is the working voltage of the i-th functional system at time t, I i (t) is the instantaneous current of the i-th functional system at time t.
[0013] Preferably, the power management method further comprises:
[0014] designing a correction function to correct the real-time power demand of each functional system, thereby adjusting the energy distribution result;
[0015] the correction function is:
[0016]
[0017] wherein ΔT represents the temperature difference between the functional system of the thermal stealth material and the external environment of the UAV, T represents the external environment temperature, V represents the wind speed, and S represents the flight state of the UAV; β, α1, α2, γ1, γ2 are all correction parameters;
[0018] the corrected real-time power demand is:
[0019] P i adj (t) = P i (t) • f(S, T, V)
[0020] wherein P i adj (t) is the power demand of the i-th functional system at time t after correction.
[0021] Preferably, the adjusted energy distribution result is:
[0022]
[0023] wherein E i adj (t) is the energy allocated to the i-th functional system at time t after adjustment.
[0024] Preferably, .
[0025] Preferably, β ∈ [0.05, 0.2], α1 ∈ [0.01, 0.05], α2 ∈ [0.01, 0.1], γ1 ∈ [0, 0.2], and γ2 ∈ [1, 2].
[0026] Furthermore, a UAV power management device based on thermal stealth material is also used, including:
[0027] Power demand calculation module, used to calculate the real-time power demand of each functional system;
[0028] The energy allocation module is used to calculate the energy allocated to each functional system based on the real-time power requirements of each functional system.
[0029] Preferably, it also includes a power correction unit for correcting the real-time power demand of each functional system;
[0030] The energy allocation module is used to calculate the energy allocated to each functional system based on the correction results of the real-time power requirements of each functional system.
[0031] Furthermore, a computer-readable storage medium storing one or more programs is also used. The one or more programs include instructions. When the instructions are executed by a computing device, the computing device is caused to perform the method described above.
[0032] Furthermore, an electronic system is also adopted, comprising one or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and are configured to be executed by the one or more processors, and the one or more programs include instructions for executing the method described above.
[0033] Beneficial Effects: The proposed drone power management method effectively addresses existing drone power management systems, including issues such as uneven energy consumption, insufficient environmental adaptability, and limited flight time. By adjusting and correcting power distribution in real time, it improves drone energy efficiency and mission execution capabilities in complex environments, providing technical support for the widespread application of drones. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] Figure 1 Flowchart of a method according to an embodiment of the present invention. DETAILED DESCRIPTION
[0035] In order to make the content of the present invention clearer, the present invention is described in detail below with reference to specific embodiments.
[0036] Engineering Example: Suppose a drone is performing a reconnaissance mission and must balance the power and energy requirements of various subsystems in a complex environment to maximize flight time. The drone is equipped with the following functional systems:
[0037] Flight control subsystem: responsible for maintaining the flight attitude and trajectory of the drone.
[0038] Sensor and monitoring subsystem: includes cameras and infrared sensors for real-time reconnaissance and data collection.
[0039] Communication and data transmission subsystem: used for data transmission and communication with the ground station.
[0040] Thermal stealth material subsystem: used to control the infrared radiation of the drone to ensure it has thermal stealth function.
[0041] Mission payload subsystem: carries other payloads (such as weapons or special equipment).
[0042] Cooling subsystem: used to maintain the temperature of the drone's electronic equipment.
[0043] Emergency subsystem: used to send positioning signals in emergency situations.
[0044] The following will use the UAV power management method based on thermal stealth materials proposed in this invention to distribute energy to the above subsystems:
[0045] (1) Calculate the real-time power requirements of each functional system
[0046] When a drone is performing a mission, the real-time power requirements of each system vary according to the complexity of the mission and environmental conditions. When the drone is performing a reconnaissance mission, the sensor and monitoring system, the communication and data transmission system, and the electro-optical control system of the thermal stealth material have higher priority. The power allocation priority coefficients of each system are as follows:
[0047] Flight control system: a1(t)=0.8
[0048] Sensor and monitoring system: a2(t)=1.2
[0049] Communication and data transmission systems: a3(t)=1.0
[0050] Electro-optical regulation system of thermal stealth material: a4(t)=0.9
[0051] Mission payload system: carrying other payloads: a5(t)=0.6
[0052] Cooling system: a6(t)=0.5
[0053] Emergency system: a7(t)=0.4.
[0054] The real-time power requirements of each system can be obtained from the designed calculation formula as shown below:
[0055] Flight control system: P1(t)=40W
[0056] Sensor and monitoring system: P2(t)=30W
[0057] Communication and data transmission system: P3(t)=20W
[0058] Electro-optical adjustment system of thermal stealth material: P4(t)=15W
[0059] Task load system: carrying other loads: P5(t)=25W
[0060] Cooling system: P6(t)=10W
[0061] Emergency system: P7(t)=5W.
[0062] (2) Energy distribution calculation
[0063] E total =2000Wh
[0064] The energy distribution of each subsystem is as follows by using the designed formula for energy distribution:
[0065] Flight control system: E1(t)=40 / 145•2000=552Wh
[0066] Sensor and monitoring system: E2(t)=30 / 145•2000=414Wh
[0067] Communication and data transmission system: E3(t)=20 / 145•2000=276Wh
[0068] Electro-optical adjustment system of thermal stealth material: E4(t)=15 / 145•2000=207Wh
[0069] Task load system: carrying other loads: E5(t)=25 / 145•2000=345Wh
[0070] Cooling system: E6(t)=10 / 145•2000=138Wh
[0071] Emergency system: E7(t)=5 / 145•2000=69Wh.
[0072] (3) Adjustment function correction system power calculation:
[0073] In this embodiment, the unmanned aerial vehicle performs reconnaissance tasks, the external temperature T=35℃, the wind speed is 5m / s. The flight state is high-speed cruise mode, S is 5, β=0.1, α1=0.02, γ1=0.1, α2=0.05, γ2=1.5. The real-time demand power of each subsystem is corrected by the correction function, and the correction function is:
[0074]
[0075] Therefore, the real-time power requirements of each subsystem are dynamically adjusted. For example, the adjusted power requirement of the flight control system is:
[0076] P i adj (t)=40•0.9726=38.904Wh.
[0077] By correcting the function, the energy distribution of each subsystem is recalculated according to the energy distribution formula to ensure that the drone's endurance is maximized while maintaining the mission execution effect.
[0078] Through the power management method provided by the present invention, the UAV can reasonably adjust power distribution in complex environments, ensure efficient completion of tasks and extend flight time.
[0079] Obviously, the above embodiments are merely examples for clarity of explanation and are not intended to limit the intended use. Those skilled in the art will appreciate that other variations or modifications based on the above description are possible. It is not necessary and impossible to enumerate all the intended uses here. Obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.
[0080] The present invention also provides a UAV power management device based on thermal stealth materials, comprising:
[0081] Power demand calculation module, used to calculate the real-time power demand of each functional system;
[0082] The energy allocation module is used to calculate the energy allocated to each functional system based on the real-time power requirements of each functional system.
[0083] Furthermore, it also includes a power correction unit for correcting the real-time power demand of each functional system;
[0084] The energy allocation module is used to calculate the energy allocated to each functional system based on the correction results of the real-time power requirements of each functional system.
[0085] The technical solution of the above-mentioned drone power management device is similar to the technical solution of the above-mentioned drone power management method, and will not be repeated here.
[0086] Based on the same technical solution, the present invention also provides a computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, characterized in that when the instructions are executed by a computing device, the computing device executes the drone power management method as described above.
[0087] Based on the same technical solutions, the application further provides an electronic system, comprising one or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, and the one or more programs comprise instructions for executing the unmanned aerial vehicle power management method.
[0088] Those skilled in the art will understand that embodiments of the application can be provided as methods, systems, or computer program products. Therefore, the application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) containing computer-usable program code.
[0089] The application is described with reference to the flowcharts and / or block diagrams of the methods, apparatus (systems), and computer program products according to the embodiments of the application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus generate a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus for implementing functions specified in one or more flows and / or blocks.
[0090] These computer program instructions can also be stored in a computer-readable memory that can direct the computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a product including instruction apparatus, which implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus for implementing functions specified in one or more flows and / or blocks.
[0091] These computer program instructions can also be loaded into a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable data processing apparatus to produce a computer-implemented process, so that the instructions executed on the computer or other programmable data processing apparatus provide a process for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus for implementing functions specified in one or more flows and / or blocks.
Claims
1. A UAV power management method based on thermal stealth materials, characterized in that: The drone includes several functional systems; The power management method distributes energy to each functional system according to the real-time power requirements of each functional system; specifically: , where E i (t) is the energy allocated to the i-th functional system at time t, P i (t) is the power demand of the i-th functional system at time t, E total is the total available energy of the UAV power supply, and n is the number of functional systems; The power management method further includes: Design correction functions to correct the real-time power requirements of each functional system and adjust the energy allocation results; The correction function is: , where ΔT represents the temperature difference between the functional system of the thermal stealth material and the external environment of the UAV, T represents the external environment temperature, V represents the wind speed, and S represents the flight state of the UAV; β, α1, α2, γ1, and γ2 are all correction parameters; The corrected real-time power demand is: P i adj (t) = P i (t)•f(S,T,V), where P i adj (t) is the power demand of the i-th functional system at time t after correction.
2. The UAV power management method based on thermal stealth material according to claim 1 is characterized in that: The calculation method of the real-time power demand is: P i (t)=a i (t)• U i (t)• I i (t), where a i (t) is the task weight coefficient of the i-th functional system at time t, U i (t) is the operating voltage of the i-th functional system at time t, I i (t) is the instantaneous current of the i-th functional system at time t.
3. The UAV power management method based on thermal stealth material according to claim 1 is characterized in that: The adjusted energy distribution results are: , where E i adj (t) is the energy allocated to the i-th functional system at time t after adjustment.
4. The UAV power management method based on thermal stealth material according to claim 1 is characterized in that: 。 5. The UAV power management method based on thermal stealth material according to claim 1 is characterized in that: β∈[0.05,0.2],α1∈[0.01,0.05],α2∈[0.01,0.1],γ1∈[0,0.2],γ2∈[1,2].
6. A drone power management device using the method according to any one of claims 1 to 5, characterized in that: include: Power demand calculation module, used to calculate the real-time power demand of each functional system; The energy allocation module is used to calculate the energy allocated to each functional system based on the real-time power requirements of each functional system.
7. The UAV power management device based on thermal stealth material according to claim 6, characterized in that: It also includes a power correction unit for correcting the real-time power requirements of each functional system; The energy allocation module is used to calculate the energy allocated to each functional system based on the correction results of the real-time power requirements of each functional system.
8. A computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, characterized in that: When the instructions are executed by a computing device, the computing device is caused to perform the method according to any one of claims 1 to 5.
9. An electronic system, characterized in that: The method comprises one or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and are configured to be executed by the one or more processors, and the one or more programs include instructions for executing the method according to any one of claims 1 to 5.
Citation Information
Patent Citations
Unmanned aerial vehicle hydrogen battery efficiency optimization method and system
CN119045323A