Air transportation systems and methods
US-2021089055-A1 · Mar 25, 2021 · US
US11720125B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11720125-B2 |
| Application number | US-202217877763-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 29, 2022 |
| Priority date | Jul 1, 2021 |
| Publication date | Aug 8, 2023 |
| Grant date | Aug 8, 2023 |
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An electric aircraft with flight trajectory planning. The electric aircraft includes a sensor. The sensor is coupled to the electric aircraft. The sensor is configured to detect a plurality of weather measurements. The electric aircraft includes a processor. The processor is communicatively connected to the sensor. The processor is configured to receive, from the sensor, a weather measurement of the plurality of weather measurements. The processor is configured to receive, from a user, a destination datum and a desired altitude datum. The processor is configured to determine an optimal trajectory of the electric aircraft as a function of the destination datum, weather datum, and altitude datum.
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What is claimed is: 1. An electric aircraft with flight trajectory planning, the electric aircraft comprising: a sensor coupled to the electric aircraft, wherein the sensor is configured to detect a plurality of weather measurements; and a processor communicatively connected to the sensor, wherein the processor is configured to: receive, from the sensor, a weather measurement of the plurality of weather measurements; receive, from a user, a destination datum; and determine an optimal trajectory of the electric aircraft as a function of the destination datum and weather datum. 2. The electric aircraft of claim 1 , wherein determining the optimal trajectory further comprises: determining the optimal trajectory of the electric aircraft as a function of the destination datum, and the weather datum. 3. The electric aircraft of claim 1 , wherein the determining the optimal trajectory further comprises determining an optimal landing stage. 4. The electric aircraft of claim 1 , wherein the determining the optimal trajectory further comprises determining an optimal takeoff stage. 5. The electric aircraft of claim 1 , wherein the determining the optimal trajectory further comprises solving an optimization problem as a function of a plurality of parameters. 6. The electric aircraft of claim 5 , wherein the plurality of parameters includes weather, battery charge, battery health, and wind speed. 7. The electric aircraft of claim 5 , wherein solving the optimization problem further comprises optimizing an objective function of the plurality of parameters. 8. The electric aircraft of claim 1 , wherein the processor determines an optimal trajectory of the electric aircraft based on a health datum of the electric aircraft. 9. The electric aircraft of claim 1 , wherein the processor determines an optimal trajectory of the electric aircraft as a function of a set of aerodynamics and a propulsion system of the electric aircraft. 10. The electric aircraft of claim 1 , wherein the processor determines an optimal trajectory of the electric aircraft based on a fuel efficiency of the electric aircraft. 11. A method for flight trajectory planning of an electric aircraft, the method comprising: detecting, using a sensor coupled to the electric aircraft, a plurality of weather measurements; receiving, by a processor and from the sensor, a weather measurement of the plurality of weather measurements; receiving, by the processor and from a user, a destination datum and a desired altitude datum; and determining, by the processor, an optimal trajectory of the electric aircraft as a function of the destination datum and weather datum. 12. The method of claim 11 , wherein determining the optimal trajectory further comprises: determining the optimal trajectory of the electric aircraft as a function of the destination datum, and the weather datum. 13. The method of claim 11 , wherein the determining the optimal trajectory further comprises determining an optimal landing stage. 14. The method of claim 11 , wherein the determining the optimal trajectory further comprises determining an optimal takeoff stage. 15. The method of claim 11 , wherein the determining the optimal trajectory further comprises solving an optimization problem as a function of a plurality of parameters. 16. The method of claim 15 , wherein the plurality of parameters includes weather, battery charge, battery health, and wind speed. 17. The method of claim 15 , wherein solving the optimization problem further comprises optimizing an objective function of the plurality of parameters. 18. The method of claim 11 , wherein determining an optimal trajectory includes a minimization problem. 19. The method of claim 11 , wherein determining an optimal trajectory includes a maximization problem. 20. The method of claim 11 , wherein the weather datum includes precipitation data.
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