Grid-Guided UAV Inductive Charging for Remote Navigation

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Solution Overview

Problem

Current UAV technology is limited by battery life, requiring frequent recharging and relying on infrastructure that is costly and scarce in remote areas, and faces navigation challenges in areas with poor cellular or satellite reception.

Innovation Solution

UAVs can harness electrical grid energy through inductive charging by using toroidal coils or landing pads connected to power lines, and employ magnetic or heat patterns of the grid for navigation, integrating with the smart grid for communication and safety protocols.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If battery-powered UAVs are used for delivery, then safety and design flexibility are improved, but flight distance is limited by battery life

Engineering Contradiction:
ImprovesafetyVSAvoidflight distance
Core Design Contradiction:
ReliabilityVSDuration of action of moving object

Solution Approach 1:

The patent implements preliminary action by establishing a network of pre-positioned charging stations along delivery routes. These stations are placed in advance at strategic locations such as utility poles and buildings, enabling UAVs to recharge during transit without returning to base. This preliminary infrastructure deployment extends operational duration while maintaining battery-powered safety advantages.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces charging stations as intermediary elements between the UAV and its base. These stationary charging units, equipped with wireless charging coils and power storage, serve as mobile recharge points that mediate the energy transfer. The intermediary charging stations enable extended flight distance by providing periodic energy replenishment during the UAV's operational cycle.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Duration of action of moving object

If recharging infrastructure is established for UAVs, then service radius is extended, but capital expenditure increases

Engineering Contradiction:
Improveservice radiusVSAvoidinfrastructure cost
Core Design Contradiction:
Duration of action of moving objectVSDevice complexity

Solution Approach 1:

The patent applies universality by designing charging stations that can serve multiple functions: wireless power transfer to UAVs, power storage during off-peak hours, and integration with existing utility infrastructure. The multi-functional design allows a single charging station to replace multiple separate systems, reducing overall infrastructure capital expenditure while extending service radius.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The charging stations are designed with autonomous operation capabilities, automatically detecting UAV presence, initiating wireless charging, and managing power transfer without human intervention. This self-service functionality reduces operational complexity and maintenance costs, making the infrastructure more cost-effective while enabling broader service coverage.

Inventive Principle:
Principle #25Self-service

3Ease of operation

If direct remote control is used for UAVs, then navigation control is maintained, but connection reliability deteriorates in remote areas

Engineering Contradiction:
Improveremote controlVSAvoidconnection reliability
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent segments the control system into multiple hierarchical levels: direct remote control for short-range operations, automated charging station handoff for medium-range transit, and base station coordination for long-range missions. This segmentation allows the system to maintain ease of operation where direct control is available while using automated protocols in remote areas where connection reliability would otherwise deteriorate.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements feedback mechanisms where charging stations continuously monitor UAV position, battery status, and communication signal quality. When direct control connection reliability deteriorates in remote areas, the system receives feedback and automatically transitions to automated navigation modes, with the charging station guiding the UAV to the next recharge point. This feedback-driven adaptation maintains operational reliability without requiring constant direct human control.

Inventive Principle:
Principle #23Feedback

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This solution extends UAV service radius, provides cost-effective recharging in remote areas, and enables reliable navigation without GPS or satellite navigation, using existing electrical infrastructure for power and guidance.

Implementation Method 1

The coil is configured to receive a charge from a power line through induction

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Implementation Method 2

The detector is configured to detect a heat or magnetic pattern emitted by an electrical grid

Methodology Applied
Scientific EffectThermal radiation detection: Thermal Radiation

Implementation Method 3

The detector is configured to detect a heat or magnetic pattern emitted by an electrical grid

Methodology Applied
Scientific EffectMagnetic field detection: Magnetic Field

Data Source

PatentUS12079015B1Systems and method for recharging and navigating unmanned aerial vehicles using the electrical grid
Publication Date: 2024.09.03 BRADLEY LOGAN W
  • US12079015B1 patent drawing
  • US12079015B1 patent drawing
  • US12079015B1 patent drawing

AI summary

An unmaned aerial vehicle includes an inductive charging coil for receiving an electric charge from the electrical grid by traveling within the electric field generated by power lines or by landing on a charging platform powered by the electrical lines. The unmaned aerial vehicle is able to navigate its route by sensing the electrical or heat signature generated by power lines and a map of the electrical lines to determine its geographic position at a given time and a route to a desired destination.