A method for estimating the endurance time of hydrogen-fueled unmanned aerial vehicles

Abstract

The invention discloses a hydrogen-fuel unmanned aerial vehicle and an estimation method for endurance time of an unmanned aerial vehicle. A gas tank pressure intensity and a gas tank capacity of an unmanned aerial vehicle are detected and thus a residual energy of the gas tank is calculated; hydrogen-fuel battery output current values and voltage values at all times during flight of the unmanned aerial vehicle are collected and then an output power is obtained; and according to the residual energy and an average output power, endurance time of the unmanned aerial vehicle in a stable state is obtained. For a complicated flight situation, the changing value of the gas tank pressure within certain time and the average output power within the time are detected to obtain the energy consumption within the time; on the basis of proportion calculation with the residual energy, the flight time of the vehicle with the residual energy can be obtained. On the basis of the gas tank pressure value and other series of practical detection values, real-time estimation is carried out on the endurance time of the unmanned aerial vehicle to obtain the endurance time of the unmanned aerial vehicle, so that reliability, practicability, and security of the unmanned aerial vehicle are improved substantially.

Description

technical field [0001] The invention relates to the technical field of onboard energy management of unmanned aerial vehicles, in particular to a method for estimating the endurance time of unmanned aerial vehicles. Background technique [0002] UAV has good flexibility and emergency maneuverability, and has a wide range of applications in military reconnaissance, emergency rescue, environmental monitoring and other fields. Accurate endurance prediction is one of the key technical indicators to ensure the successful completion of missions of UAVs. [0003] Due to the real-time flight, factors such as the geometry, weight, payload, flight speed, and track planning of the drone will have a significant impact on the endurance time. [0004] If it is possible to accurately estimate the UAV and its endurance time in real time, and feed back to the flight control management system and ground station, it will be beneficial to the formulation of flight missions, the design of flight...

AI Technical Summary

Problems solved by technology

[0006] The present invention solves the lack of estimation of the continuous energy supply time of the fuel cell to the load in the prior art, which can only be judged by the actual energy supply test of the fuel cell to the load, which is very costly. On the other hand, the actual energy supply for different loads The performance situation is different, and the defect of lack of practicability provides a real-time estimation of the drone's endurance time through the actual detection value of the air pressure change of the gas tank and the output power.

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