UAV Mission Selection Using Abnormal Charging History
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Solution Overview
Problem
The selection of unmanned aerial vehicles for missions and the charging of their batteries often lacks a systematic approach, leading to arbitrary choices and potential battery damage due to abnormal charging, which shortens the battery's lifespan.
Innovation Solution
A system that selects an unmanned aerial vehicle based on its abnormal charging history and applies a specific abnormal charging profile, utilizing a landing platform, electric charger, database, and computer processing controller to optimize battery life and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If abnormal charging (fast charging with higher current) is applied to meet time pressure, then charging speed is improved, but battery lifespan is shortened
Solution Approach 1:
The system dynamically changes charging parameters (current level, charging profile) based on the selected UAV's battery characteristics and mission requirements. The controller adjusts charging parameters to balance between charging speed and battery lifespan preservation, selecting from multiple abnormal charging profiles with different severity levels.
Solution Approach 2:
The charging system transitions from static, arbitrary charging decisions to dynamic, adaptive charging management. The system continuously monitors battery status, mission urgency, and UAV history to dynamically select appropriate charging strategies, allowing the charging approach to evolve based on real-time conditions.
2Device complexity
If arbitrary selection of UAVs is used for missions, then device complexity is reduced, but battery management efficiency deteriorates
Solution Approach 1:
The system incorporates feedback loops where the controller monitors charging history, battery status, and mission requirements to continuously improve UAV selection and charging decisions. The system learns from past charging outcomes and adjusts future selections to optimize both battery lifespan and mission fulfillment efficiency.
Solution Approach 2:
The system performs preliminary assessment of UAV battery status and charging history before mission assignment. By pre-evaluating which UAVs can tolerate abnormal charging based on their history and current state, the system makes informed selections that balance operational needs with battery preservation, avoiding last-minute decisions that compromise efficiency.
Data Source
AI summary
A system for selecting an unmanned aerial vehicle for executing a certain mission from a plurality of unmanned aerial vehicles that are available to perform the mission and for charging the battery of the selected vehicle with a specific abnormal charging profile, that includes a landing platform, an electric charger, a database stored on a memory means that includes information regarding past charges including past abnormal charges of the vehicles, a computer processing controller for controlling the charger and for determining the specific abnormal charging profile to charge the selected vehicle. The computer processing controller selects the selected vehicle from the plurality of vehicles that are available to perform the mission according to the information of past charges including past abnormal charges of the vehicles.