System for flight plan generation of an electric vertical takeoff and landing (eVTOL) aircraft and a method for its use
Aspects relate to a system for flight plan generation of an electric vertical takeoff and landing (eVTOL) aircraft. An exemplary system for flight plan generation includes a flight controller mounted on an eVTOL aircraft. The flight controller may be configured to receive a plurality of flight plan data and generate a flight plan for the aircraft as a function of the plurality of flight plan data.
1. A system for flight plan generation of an electric vertical takeoff and landing (eVTOL) aircraft, the system comprising:
a computing device communicatively connected to an eVTOL aircraft, wherein the computing device is a flight controller and includes a first cluster of flight controllers in a first location and a second cluster of flight controllers in a second location and is configured to:
receive at least a battery status datum and at least a flight mode datum; and
generate a flight plan for the aircraft, comprising a plurality of flight plan data, as a function of:
a flight plan machine learning process and the at least a battery status datum and the at least a flight mode datum; and
flight plan data communicated to the flight controller through a mesh network, wherein the flight plan data comprises recharging station data, wherein the recharging station data includes:
information on locations of recharging stations for recharging the eVTOL aircraft; and
information on status of the recharging stations, wherein the status of the recharging stations includes information on whether or not a recharging station is open for recharging and available for recharging the eVTOL aircraft.
2. The system of claim 1 , wherein the at least a flight mode datum for the eVTOL aircraft includes rotor-based flight.
3. The system of claim 1 , wherein the at least a flight mode datum for the eVTOL aircraft includes fixed wing flight.
4. The system of claim 1 , wherein the flight plan data comprises information describing at least an area to avoid while in flight.
5. The system of claim 1 , wherein the flight plan data comprises information describing a payload of the aircraft.
6. The system of claim 1 , wherein the flight plan data comprises information describing weather along a flight path of the eVTOL aircraft.
7. The system of claim 1 , wherein the flight plan data comprises recharging station data.
8. The system of claim 1 , wherein the flight plan is generated using a machine-learning model.
9. A method for flight plan generation of an electric vertical takeoff and landing (eVTOL) aircraft, the method including:
connecting communicatively a computing device and an eVTOL aircraft wherein the computing device is a flight controller including a first cluster of flight controllers in a first location and a second cluster of flight controllers in a second location;
receiving, at the computing device, at least a battery status datum and at least a flight mode datum; and
generating, using the computing device, a flight plan for the aircraft, comprising a plurality of flight plan data, as a function of:
a flight plan machine learning process and the at least a battery status datum and the at least a flight mode datum; and
flight plan data communicated to the flight controller through a mesh network, wherein the flight plan data comprises recharging station data, wherein the recharging station data includes:
information on locations of recharging stations for recharging the eVTOL aircraft; and
information on status of the recharging stations, wherein the status of the recharging stations includes information on whether or not a recharging station is open for recharging and available for recharging the eVTOL aircraft.
10. The method of claim 9 , wherein the at least a flight mode datum for the eVTOL aircraft includes rotor-based flight.
11. The method of claim 9 , wherein the at least a flight mode datum for the eVTOL aircraft includes fixed wing flight.
12. The method of claim 9 , wherein the flight plan data comprises information describing at least an area to avoid while in flight.
13. The method of claim 9 , wherein the flight plan data comprises information describing a payload of the aircraft.
14. The method of claim 9 , wherein the flight plan data comprises information describing weather along a flight path of the eVTOL aircraft.
15. The method of claim 9 , wherein the flight plan data comprises recharging station data.
16. The method of claim 9 , wherein the flight plan is generated using a machine-learning model.