Hybrid Generator System for UAV Data Center Power Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current unmanned aerial vehicles (UAVs) face limitations in power management and data processing capabilities, particularly in balancing power allocation between flight critical components and data processing tasks, especially in challenging environmental conditions or when performing location-specific data tasks.
Innovation Solution
The integration of a hybrid generator system that includes a rechargeable battery and an engine-generating mechanical power, coupled with a generator motor to provide electrical power, along with an intelligent data management module that dynamically allocates power based on flight mode, task priority, and available power, ensuring efficient operation of both rotor motors and data center components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If a hybrid generator system with engine and generator motor is added to provide extended power, then flight duration and power availability are improved, but device complexity and weight increase
Solution Approach 1:
The patent combines the engine, generator motor, and rechargeable battery into a hybrid generator system that functions as an integrated power source. The engine and generator motor are mechanically coupled to generate electrical power, which is then stored in the battery and used to power the rotor motors and data center, merging multiple power generation and storage functions into a single system.
Solution Approach 2:
The hybrid generator system serves multiple functions: the engine generates mechanical power, the generator motor converts mechanical power to electrical power, the rechargeable battery stores and regulates electrical power, and the system collectively powers both the propulsion system (rotor motors) and the data center. This multi-functionality allows a single power system to support diverse operational requirements.
2Productivity
If power is allocated to data center components for complex data processing, then data processing capability is improved, but power available for flight critical components decreases
Solution Approach 1:
The patent implements dynamic power allocation where the controller continuously monitors power availability from the hybrid generator system and adjusts the power distribution between flight critical components (rotor motors) and data center components based on real-time conditions. This dynamic adjustment ensures that flight operations receive sufficient power while maximizing data processing capability when power is available.
Solution Approach 2:
The system incorporates feedback mechanisms where the controller monitors the power output from the engine-g generator motor-battery system and uses this information to intelligently allocate power to different components. The feedback loop allows the system to respond to changing power availability and prioritize power distribution between flight critical and data processing functions based on current operational needs.
3Use of energy by moving object
If intelligent data management module dynamically allocates power, then power utilization efficiency is improved, but control system complexity increases
Solution Approach 1:
The intelligent data management module automatically monitors power availability from the hybrid generator system and autonomously allocates power to various components without requiring external intervention. The module independently assesses power needs of flight critical components and data center components, and dynamically adjusts power distribution to optimize overall system efficiency while ensuring flight safety.
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 enables extended flight times, efficient power utilization, and prioritization of critical tasks, allowing UAVs to perform complex data processing and collection missions while ensuring safe and stable flight operations.
Implementation Method 1
a generator motor coupled to the engine and configured to generate electrical power from the mechanical power generated by the engine
Implementation Method 2
a rechargeable battery configured to provide power to the at least one rotor motor
Data Source
AI summary
An unmanned aerial vehicle includes at least one rotor motor configured to drive at least one propeller to rotate. The unmanned aerial vehicle includes a data center including a processor; a data storage component; and a wireless communications component. The unmanned aerial vehicle includes a hybrid generator system configured to provide power to the at least one rotor motor and to the data center, the hybrid generator system including a rechargeable battery configured to provide power to the at least one rotor motor; an engine configured to generate mechanical power; and a generator motor coupled to the engine and configured to generate electrical power from the mechanical power generated by the engine. The data center may include an intelligent data management module configured to control power distribution and execution of mission tasks in response to available power generation and mission task priorities.