IP Library › Granted Patent US 11,845,543
Granted Patent B2
US 11,845,543 · App. 17/124,720 · Granted Dec 19, 2023

Infinite wireless charging of a UAS (unmanned aerial system) with power infrastructure

Inventor: Nathan Seongheon Jeong (Tuscaloosa, AL)
Assignee: The Board of Trustees of The University of Alabama
B64C39/024H02J7/345H02J50/005H02J50/10B64U50/34H02J2207/50H02J2310/44
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Quick Facts
Patent No.
US 11,845,543
App. No.
17/124,720
Granted
Dec 19, 2023
Kind
B2
Abstract

Systems and methods for enabling infinite wireless charging of unmanned aerial systems (UASs) are provided. A UAS detects sources of power and wirelessly charges itself by collecting ambient electromagnetic energy from a power infrastructure. A UAS in accordance with features and aspects described herein is autonomous, may always be wirelessly charged (e.g., with high induced voltage), and can make use of weak energy. Moreover, various charging techniques can be used, such as in-flight, trickle, perching, and/or parking. Dynamic flight is supported using multi-angle MIMO coils. Additionally or alternatively, faster charging can be achieved with a supercapacitor and slower charging can be achieved with a battery.

Claims (43)

1. A method of wirelessly charging an unmanned aerial system (UAS), the method comprising:

during flight, detecting a power infrastructure by detecting nearby electromagnetic radiation, by the UAS;

navigating to the power infrastructure, by the UAS; and

autonomously charging an energy storage device of the UAS using the power infrastructure, by the UAS, wherein the charging comprises one of:

in-flight charging that uses ambient electromagnetic energy;

trickle charging which provides dynamically charging power control through the detected nearby electromagnetic radiation; and

multi-angle multiple input, multiple output (MIMO) charging which comprises increasing mutual coupling through multi-angle coils.

2. The method of claim 1 , wherein the detecting the power infrastructure is performed by a power infrastructure sensor of the UAS.

3. The method of claim 1 , further comprising:

determining that a power level of the UAS has fallen below a threshold; and

in response to the determination, detecting the power infrastructure.

4. The method of claim 1 , wherein the energy storage device comprises at least one of a battery or a supercapacitor.

5. The method of claim 1 , wherein the charging further comprises stationary charging including at least one of perching, parking, or resting on high-voltage power lines.

6. The method of claim 1 , further comprising after charging is completed, continuing to operate in flight, by the UAS.

7. An unmanned aerial system (UAS) comprising:

a power infrastructure sensor configured to detect, during a flight of the UAS, a power infrastructure by detecting nearby electromagnetic radiation;

a navigational system configured to navigate the UAS to the power infrastructure;

an energy storage device configured to provide power to the UAS; and

a charging module configured to autonomously charge the energy storage device of the UAS using the power infrastructure, wherein the charging comprises one of:

in-flight charging that uses ambient electromagnetic energy;

trickle charging which provides dynamically charging power control through the detected nearby electromagnetic radiation; and

multi-angle multiple input, multiple output (MIMO) charging which comprises increasing mutual coupling through multi-angle coils.

8. The UAS of claim 7 , further comprising:

determining that a power level of the UAS has fallen below a threshold; and

in response to the determination, detecting the power infrastructure.

9. The UAS of claim 7 , wherein the energy storage device comprises at least one of a battery or a supercapacitor.

10. The UAS of claim 7 , wherein the charging further comprises stationary charging including at least one of perching, parking, or resting on high-voltage power lines.

11. The UAS of claim 7 , wherein the UAS is configured to, after charging is completed, continue to operate in flight.

12. A system for wirelessly charging an unmanned aerial system (UAS), the system comprising:

at least one processor; and

a memory storing instructions that when executed by the at least one processor cause the at least one processor to:

detect a power infrastructure by detecting nearby electromagnetic radiation during flight of the UAS;

navigate the UAS to the power infrastructure; and

autonomously charge an energy storage device of the UAS using the power infrastructure, wherein the charging comprises one of:

in-flight charging that uses ambient electromagnetic energy;

trickle charging which provides dynamically charging power control through the detected nearby electromagnetic radiation; and

multi-angle multiple input, multiple output (MIMO) charging which comprises increasing mutual coupling through multi-angle coils.

13. The system of claim 12 , further comprising:

determining that a power level of the UAS has fallen below a threshold; and

in response to the determination, detecting the power infrastructure.

14. The system of claim 12 , wherein the charging comprises:

stationary charging including at least one of perching, parking, or resting on high-voltage power lines.

15. The system of claim 12 , wherein the instructions further comprise instructions that when executed by the at least one processor cause the at least one processor to, after charging is completed, continue to operate the UAS in flight.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 17, 2021
From: JEONG, SEONG HEON
To: THE BOARD OF TRUSTEES OF THE UNIVERSITY OF ALABAMA
Reel/Frame 057510/0202 →
Continuity (2)
Provisional Application 62982924 · Feb 28, 2020
Related Publication 20210403158A1 · Dec 30, 2021