Electric Aircraft Coaching Simulator for Energy Efficiency
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Solution Overview
Problem
Existing solutions fail to effectively provide real-time energy conservation coaching to pilots flying electric aircraft, lacking satisfactory methods for feedback on their energy usage during flight.
Innovation Solution
A system and method for an electric aircraft coaching simulator that includes a processor and memory to receive optimized flight data, simulate battery performance based on pilot commands, and generate optimal flight recommendations for energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If real-time feedback on energy usage is provided to pilots, then energy conservation coaching is improved, but existing solutions fail to provide satisfactory feedback mechanisms
Solution Approach 1:
The system implements real-time feedback by monitoring pilot commands and battery performance data, then providing immediate coaching recommendations through the user interface. The feedback loop continuously compares actual energy consumption against optimal flight paths, enabling pilots to adjust their operations to conserve energy during electric aircraft flight.
2Productivity
If battery performance simulation is implemented based on pilot commands, then energy efficiency coaching is improved, but system complexity increases
Solution Approach 1:
The system creates a virtual model (copy) of the battery performance that mirrors the actual battery behavior based on pilot commands. This virtual battery model allows the system to simulate and analyze energy consumption patterns without requiring complex physical testing, enabling efficient coaching while maintaining manageable system complexity through software-based modeling.
Data Source
AI summary
A system and method for an electric aircraft coaching simulator is illustrated. The simulator includes a pilot control that is configured to generate a pilot command. The simulator includes a processor that is configured to receive optimized flight data, simulate a battery performance of an electric aircraft as a function of the received pilot command and generate an optimal flight recommendation based off the optimized flight data. The simulation model is configured to communicatively connect with the flight simulator to mimic a real flight situation. Optimized flight data from other pilots can be used to coach pilots how to fly with more energy efficiency.