Method of evaluating effective operation energy consumption of dynamic load electro-dynamic unmanned aerial vehicle

Abstract

The invention discloses a method of evaluating the effective operation energy consumption of a dynamic load electro-dynamic unmanned aerial vehicle (UAV), comprising the following steps: measuring and calibrating the no-load mass M0 of an electro-dynamic UAV; installing a variable-mass load on the electro-dynamic UAV; starting the electro-dynamic UAV, keeping the speed and torque of the motor unchanged, making the mass of the load on the electro-dynamic UAV gradually decrease to Mk, and recording real-time voltage, current and other data of the motor; restating the electro-dynamic UAV, keeping the mass of the load on the electro-dynamic UAV unchanged, gradually changing the speed and torque of the motor, and recording real-time voltage, current and other data of the motor; calculating the load coefficient K, operation efficiency ETAem and power factor of the motor of the electro-dynamic UAV; calculating the electric energy consumption of the UAV in the two operation processes; and analyzing the factors influencing the energy consumption of the motor system of the electro-dynamic UAV. Through the method, the energy consumption of agricultural UAVs can be known, and reference and support are provided for energy saving optimization of UAVs.

Description

technical field [0001] The invention relates to the field of energy consumption of unmanned aerial vehicles, in particular to a method for evaluating energy consumption of effective operations of electric-powered unmanned aerial vehicles with dynamic loads. Background technique [0002] In recent years, the word "intelligence" has appeared more and more in people's lives. The emergence of agricultural plant protection drones is one of the distinctive features and symbols of agricultural intelligence. The agricultural spraying drone launched has a spraying efficiency 40-60 times that of manual work, and has a better effect on pest control. It completely liberates the labor and low efficiency of manual spraying. It is called an artifact of intelligent spraying. Life has become more colorful because of the development of technology, and agriculture has become more efficient because of technology. However, the two issues of battery life and more intelligent control are things ...

AI Technical Summary

Problems solved by technology

However, the two issues of battery life and more intelligent control are things that need to be improved in the future.

At present, most drones on the market have a battery life of 15-25 minutes, and the battery life in the air is generally not high, which limits the use of drones

Although the battery can be replaced after landing, the average user only has one or two spare batteries, and the battery charges slowly.

Most of the reason for the short battery life is due to the limitations of the current battery technology. The density of lithium batteries is close to a peak, and it is difficult to make a breakthrough. Therefore, many drone manufacturers have begun to study other power consumer drones.

[0003] Based on the fact that the power problem of UAVs has not yet been solved, improving the endurance of UAVs must start with reducing the energy consumption of UAVs. The energy consumption evaluation method of the effective operation of the dynamic load electric UAV can understand the energy consumption of the power system during the dynamic spraying of the agricultural UAV, and provide reference and support for the UAV energy-saving optimization. However, the existing There is no related energy consumption evaluation method for the effective operation of dynamic load electric powered UAV in the technology

Images