Energy optimization method for hybrid power system of UAV based on task planning

Abstract

The invention relates to the field of unmanned aerial vehicles and provides an energy optimization method for a hybrid power system of a UAV based on task planning. The method comprises the steps of estimating initial task energy and estimating the operating modes of respective flight phases; a step of receiving and determining a task change; a step of re-estimating the operating modes based on the changed task; and a step of correcting the operating mode of a hybrid power device. The method manages system energy in real time according to different flight tasks based on the flight task planning of the UAV so as to improve operating efficiency, switches the hybrid power system among a discharging mode, a charging mode, and a maintenance mode according to the flight state, the energy storage state and the system operating efficiency of the UAV so as to improve the environmental adaptability of the UAV and reduce environmental pollution, ensures that an energy accumulator always maintains certain energy reserves, enables an power generator-motor to be used as a backup power source in emergency so as to improve power system reliability.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to an energy optimization method for a hybrid power system for unmanned aerial vehicles based on mission planning. Background technique [0002] With the continuous development of science and technology and the needs of national defense, the application of drones is becoming more and more extensive. At present, according to the different take-off weights of UAVs in my country, most of their power devices use electric motors or piston engines. UAVs using electric motors as power devices are affected by the energy density of existing batteries, and their battery life is short; UAVs using piston engines as power devices need to take into account the high power requirements during take-off and climb stages due to the flight process. And the small power demand in the cruising stage leads to a wide range of engine operating conditions during flight, low engine efficiency...

AI Technical Summary

Problems solved by technology

[0004] At present, the hybrid power system for UAVs mostly uses a piston engine to drive a generator to generate electricity to charge the accumulator, and then the electric energy provided by the accumulator drives the motor, thereby driving the propeller to rotate and providing power for the UAV. The system control strategy is single, and the working mode of the hybrid system cannot be adjusted in real time according to the change of the flight mission, and the working efficiency of the system is low

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