UAV Charging Station Priority Management

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Solution Overview

Problem

The increasing demand for UAV charging stations leads to congestion, where UAVs may have to wait for available docking terminals, and multiple UAVs cannot land simultaneously, necessitating efficient resource management to prioritize charging based on available power levels and rankings.

Innovation Solution

A charging station with a processor determines the priority of UAVs using a weighted system of available power levels and vehicle rankings, instructing lower-priority UAVs to undock from occupied terminals to allow higher-priority UAVs to charge, and provides instructions for alternative charging stations or waiting zones.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If multiple UAVs dock at the same charging station simultaneously, then the charging station resource utilization increases, but the docking terminal availability decreases causing congestion and waiting times

Engineering Contradiction:
Improvecharging station resource utilizationVSAvoidUAV waiting time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The charging station is divided into multiple docking terminals, and the system segments the charging management into individual terminal-level control. Each docking terminal can be independently assigned to different UAVs based on priority, allowing simultaneous charging of multiple UAVs at different terminals while preventing congestion at any single terminal.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically adjusts docking terminal assignments based on real-time UAV power levels and mission priorities. When a UAV's power level drops below a threshold or its priority increases, the system dynamically reallocates docking terminals to ensure critical UAVs receive charging resources, optimizing both resource utilization and response time.

Inventive Principle:
Principle #15Dynamics

2Ease of operation

If the charging station serves all UAVs in equal priority, then fairness is maintained, but critical UAVs with low power levels cannot receive prompt charging service

Engineering Contradiction:
Improvecharging allocation fairnessVSAvoidmission completion reliability
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system applies different quality levels of service to different UAVs based on their specific needs. UAVs with critical power levels or high mission priority receive preferential treatment with higher priority docking terminal assignment, while UAVs with sufficient power receive standard service. This local differentiation ensures both fairness and mission reliability.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system changes the priority parameter dynamically based on UAV power levels and mission characteristics. When a UAV's power level drops below a predetermined threshold or its mission priority is elevated, the system adjusts its priority parameter to ensure it receives charging resources before lower-priority UAVs, balancing fairness with mission-critical needs.

Inventive Principle:
Principle #35Parameter changes

3Device complexity

If the charging station uses a simple first-come-first-served docking system, then the system complexity is low, but the charging efficiency and resource optimization are reduced

Engineering Contradiction:
Improvedocking management system complexityVSAvoidcharging efficiency
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The system continuously monitors UAV power levels, docking terminal availability, and mission priorities, using this feedback to dynamically adjust docking terminal assignments. The charging station processor receives real-time status information from all UAVs and automatically reconfigures terminal allocations to optimize charging efficiency based on current system state.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

UAVs autonomously report their power levels and mission priorities to the charging station processor, which then self-manages the docking terminal assignments without external intervention. The system automatically prioritizes and allocates resources based on the reported parameters, enabling efficient autonomous resource management while keeping the control system relatively simple.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS10384775B2Autonomous vehicle charging station management
Publication Date: 2019.08.20 QUALCOMM INC
  • US10384775B2 patent drawing
  • US10384775B2 patent drawing
  • US10384775B2 patent drawing

AI summary

Methods, devices, and systems of various embodiments are disclosed for managing a vehicle charging station having a docking terminal. In various embodiments, a priority of a first autonomous vehicle and a second autonomous vehicle may be determined for using the docking terminal when a docking request is received from the second autonomous vehicle while the first autonomous vehicle occupies the docking terminal. In some embodiments, the priorities of the first and second autonomous vehicles may be based on an available power level of each of the first and second autonomous vehicles. The first autonomous vehicle may be instructed to undock from the docking terminal in response to determining that the second autonomous vehicle has a higher priority.