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Hybrid power unmanned aerial vehicle energy source control method based on power following

A hybrid, energy control technology, applied in aircraft power units, aircraft parts, transport hydrogen technology, etc., can solve the problems of shortened service life, large weather effects, and high power density

Inactive Publication Date: 2014-06-11
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] (MPPT) can guarantee its output power to the maximum power it can provide, but it is greatly affected by the weather;
[0007] b. The energy density of the fuel cell is very high, but the power density is small and the response is slow. It is not suitable for instantaneous high-power discharge, but can be discharged for a long time at a certain power. At the same time, considering its energy conversion efficiency, when the output power is the maximum power 20%-30% of the maximum, less than 20% (or in its polarization voltage drop section), and when the discharge current is too large (or in its concentration pressure drop section), its output efficiency is low, and will shorten its useful life;
[0008] c. The energy density of lithium batteries is low but the power density is high, and the response is fast, which is suitable for large power changes and instantaneous high-power discharges, while the number of repeated charge and discharge, overshoot, overdischarge and discharge rate of lithium batteries (The current value required for the battery to release its rated capacity within the specified time, such as 1 hour, the discharge rate is 1C) If it is too large, its life will be shortened

Method used

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  • Hybrid power unmanned aerial vehicle energy source control method based on power following
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  • Hybrid power unmanned aerial vehicle energy source control method based on power following

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0093] Implementation example 1: take off at 6:00 on the winter solstice day

[0094] Step 1, establish the UAV flight environment model, set the initial conditions of the UAV flight and the state parameters of the hybrid UAV energy system (including solar cells, lithium batteries and fuel cells).

[0095] 1.1 The initial state of the UAV: ​​the take-off time is 6:00 in the morning of the winter solstice, the location is 40 degrees north latitude, 116 degrees east longitude, heading due east, press image 3 The flight profile of the UAV, the take-off weight of the UAV is 15kg, and it starts from rest at 3m / s 2 Accelerate to 12m / s to take off the ground, climb to 500m at a constant speed with a 4° climb angle, and turn to level flight, and accelerate to 15m / s with a maximum lift-to-drag ratio of 18 and continue cruising for 3 hours before gliding and landing without power.

[0096] 1.2 Energy system parameters: the lower limit parameter of the available power of solar cells is...

Embodiment 2

[0110] Implementation example 2: take off at 11:00 on the winter solstice day

[0111] Step 1, the takeoff time is 11:00 on the winter solstice day, other initial value settings are the same as step 1 in (1);

[0112] Step 2 is the same as step 2 in (1);

[0113] Step 3, step up =2, update step=3, monitor the current maximum output power of the solar cell such as Figure 4 (b) as shown in P arrary =136.6W>P available =10W, the solar battery is available, update the current step step=3.2, and execute step 5;

[0114] Step 5, step up =3.2, update step=5, calculate the remaining power P of the solar cell:

[0115] P=P arrary -P d =136.6-15.0=121.6W>0

[0116] Execute step 4, the result is SOC=1>SOC high For case 4.2, the excess power P of the solar battery is used for the climbing of the UAV, and the electric energy is converted into gravitational potential energy storage. The hybrid UAV energy system controls three power outputs as follows:

[0117] ...

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Abstract

The invention relates to a hybrid power unmanned aerial vehicle energy source control method based on power following, belonging to the technical field of hybrid power control of unmanned aerial vehicles. According to the hybrid power unmanned aerial vehicle energy source control method, a solar battery, a fuel battery and a lithium battery are mixed and arranged in an unmanned aerial vehicle power system to form a hybrid power system. Each energy source is controlled by comprehensively considering factors including output properties, conversion efficiency, service life, current state, flight mission profiles, needed power of electronic equipment and the like of each energy source; the self advantages can be expressed to the greatest extent under the condition that the total output power can meet the needed power of flight of the unmanned aerial vehicles and the inner electronic equipment, so that the whole hybrid power system can be at a better state and the unmanned aerial vehicles have longer unmanned aerial vehicle and better power performances.

Description

technical field [0001] The invention relates to a power-following-based hybrid unmanned aerial vehicle energy control method, which belongs to the technical field of unmanned aerial vehicle hybrid control. Background technique [0002] New energy hybrid electric drones are unmanned aerial vehicles (UAVs, UnmannedAerialVehicles) that use new energy sources (such as solar energy and hydrogen energy) and use energy conversion devices (such as solar cells and fuel cells) to convert them into electrical energy. It is an unmanned aerial vehicle that uses a variety of non-traditional fossil fuels and can be reused. Compared with traditional fossil fuel UAVs, the original energy used is green energy, which has no pollution to the environment, and it is converted into electric energy to provide power. It has zero emissions, low noise, unobvious infrared signals, and concealment. It has good advantages and has the potential of super long endurance, so it is more suitable for tasks su...

Claims

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Application Information

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IPC IPC(8): B64D31/00B64D27/24
CPCY02T90/40
Inventor 刘莉张晓辉施商涛郭昌炜李延平王正平
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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