US 11,810,478 B1
Methods and systems for an electric aircraft coaching simulator
Timothy Gerard Richter, Wynantskill, NY (US)
Assigned to BETA AIR, LLC, South Burlington, VT (US)
Filed by BETA AIR, LLC, South Burlington, VT (US)
Filed on Aug. 22, 2022, as Appl. No. 17/892,442.
Int. Cl. G09B 9/24 (2006.01); G09B 9/16 (2006.01); G06N 20/00 (2019.01); G09B 9/34 (2006.01); G09B 9/30 (2006.01)
CPC G09B 9/16 (2013.01) [G06N 20/00 (2019.01); G09B 9/24 (2013.01); G09B 9/308 (2013.01); G09B 9/34 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for an electric aircraft coaching simulator, wherein the system comprises:
a pilot control configured to generate a pilot command as function of a user interaction with the pilot control;
a computing device;
at least a processor; and
a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to:
receive historical flight data;
simulate performance of an electric aircraft as a function of the historical flight data and the pilot command, wherein the simulated performance of the electric aircraft comprises a simulated battery performance of the simulated electric aircraft;
generate an optimal flight recommendation as a function of the historical flight data and the simulated battery performance, wherein generating an optimal flight recommendation comprises:
receiving a pilot performance;
determining an energy efficiency datum, utilizing a machine-learning model, based on the pilot performance, wherein the energy efficiency datum refers to energy used by pilot performance in relation to an amount of energy need for flight simulation; and
assigning a score to the energy efficiency datum based on an energy efficiency level of the pilot; and
communicate the optimal flight recommendation to a user.