Mobile UAV Charging Base Guided by Battery-Level Docking
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Solution Overview
Problem
Existing docking systems for flying apparatuses, such as drones, lack efficient battery management and convenient docking solutions, leading to challenges in ensuring safe and efficient landing and charging processes.
Innovation Solution
A base apparatus equipped with a controller that determines a target location for movement based on the battery level of flying apparatuses, enabling autonomous navigation and docking, and includes a control method and program to output this information for efficient battery charging and operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the base apparatus remains stationary, then the structure is simple and stable, but the flying apparatus cannot receive charging support when battery level is low
Solution Approach 1:
The base apparatus transitions from a stationary structure to a mobile platform equipped with wheels and a drive unit. The controller dynamically determines target locations based on flying apparatus battery levels and controls the base apparatus to autonomously navigate to these locations, enabling charging support wherever the flying apparatus operates.
Solution Approach 2:
The base apparatus autonomously monitors battery levels of flying apparatuses, calculates appropriate target locations, and self-navigates to provide charging support without human intervention. The system serves itself by automatically responding to charging needs and relocating as required.
2Productivity
If the base apparatus autonomously moves to target locations, then charging efficiency improves, but the control system becomes more complex
Solution Approach 1:
The controller performs multiple functions: monitoring battery levels, calculating target locations based on various conditions (battery thresholds, no-fly zones, operational status), navigating the base apparatus, and managing the charging process. This multi-functional approach consolidates complexity into a single control unit while maximizing charging efficiency.
Solution Approach 2:
The system continuously monitors battery levels of flying apparatuses and uses this feedback to dynamically adjust target location decisions. The controller receives real-time battery status information and responds by determining appropriate relocation targets, creating a closed-loop control system that optimizes charging efficiency.
3Reliability
If the base apparatus moves frequently to support charging, then battery management improves, but energy consumption increases
Solution Approach 1:
The controller uses battery level parameters as the primary decision criterion for movement. By setting threshold values (e.g., when battery drops below a certain level), the system determines whether relocation is necessary, balancing proactive battery management with energy conservation by avoiding unnecessary movements.
Solution Approach 2:
The base apparatus performs partial relocation only when and where needed based on battery conditions, rather than continuously moving or relocating to all possible locations. This selective action approach optimizes energy usage by executing movements only when charging support is actually required.
Data Source
AI summary
A base apparatus for docking of at least one flying apparatus includes a controller. The controller outputs information of a location to which the base apparatus is to be moved, the location being determined based on a predetermined condition including a condition related to the battery level of the at least one flying apparatus.