Electric Aircraft Flight Plan Optimization System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing flight planning systems for aircraft lack efficiency in optimizing flight plans, particularly for electric aircraft, due to the complexity of integrating altitude considerations and real-time data on battery life and environmental factors.
Innovation Solution
A system and method that utilize a computing device to receive measured flight data, including battery life status, and generate an optimized flight plan by determining required energy and considering aircraft requirements and separation requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional air traffic control systems are used to manage flight plans, then flight safety and regulatory compliance are maintained, but the complexity of multiple information exchanges and manual optimization processes increases operational time and reduces efficiency
Solution Approach 1:
The system enables electric aircraft to autonomously generate and optimize their own flight plans by integrating real-time battery status, energy consumption data, and flight parameters directly into the flight management system, eliminating the need for extensive manual air traffic control exchanges while maintaining safety and compliance
Solution Approach 2:
The system performs preliminary optimization of multiple potential flight plans before final selection by pre-calculating energy requirements, battery constraints, and route options, allowing the aircraft to efficiently determine the optimal flight path in advance without complex real-time negotiations
2Adaptability or versatility
If multiple flight plans are optimized for different types of aircraft with varying cargo and performance characteristics, then flight plan adaptability is improved, but the time and computational resources required for determination increase
Solution Approach 1:
The system adapts flight plans by dynamically adjusting key parameters such as altitude, speed, and route based on real-time battery status, energy consumption rates, and flight conditions, allowing efficient optimization for different aircraft types and cargo configurations without requiring complete重新规划
Solution Approach 2:
The flight management system continuously monitors and dynamically adjusts flight plan parameters during flight based on changing battery life status and energy requirements, enabling real-time adaptation to different operational conditions and aircraft characteristics
3Use of energy by moving object
If real-time battery life status and energy consumption data are integrated into flight plan optimization, then energy efficiency is improved, but the complexity of data processing and system integration increases
Solution Approach 1:
The flight management system integrates multiple functions including battery monitoring, energy consumption calculation, flight plan optimization, and real-time adjustment into a single unified system, reducing overall complexity by consolidating data processing and control functions rather than using separate specialized systems
Data Source
AI summary
A system or optimizing a flight plan for an electric aircraft is provided. The system includes, a computing device, wherein the computing device is configured to receive a plurality of measured flight data from a remote device, identify at least an aircraft requirement as a function of the plurality of measured flight data, generate at least a desired flight plan as a function of at least a plurality of measured flight data and the at least an aircraft requirement, and determine an optimized flight plan as a function of the at least a desired flight plan.