IP Library › Granted Patent US 11,485,517
Granted Patent B1
US 11,485,517 · App. 17/407,518 · Granted Nov 1, 2022

System and method for communicating a pre-charging package stream of an electric aircraft

Inventor: Herman Wiegman (Essex Junction, VT)
Assignee: BETA AIR, LLC
B64F1/362B60L50/60B60L53/16B60L53/62B64D27/24H02J7/0013H02J7/00032H02J7/0045H02J7/00712B60L2200/10
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Quick Facts
Patent No.
US 11,485,517
App. No.
17/407,518
Granted
Nov 1, 2022
Kind
B1
Abstract

A system for communicating at least a pre-charging datum for an electric vehicle, the system including an electric aircraft, wherein the electric aircraft comprises, a sensor, wherein the sensor is configured to detect a connection with a charging connector, at least a battery pack, wherein the at least a battery pack including a plurality of battery cells, an aircraft recharging component, the aircraft recharging component including an aircraft side recharging component, wherein the aircraft side recharging component is configured to form a charge connection with the charging connector, a controller, wherein the controller is configured to generate a battery parameter set as a function of the connection with the charging connector, and transmit the battery parameter set to the charging connector.

Claims (43)

1. A system for communicating at least a pre-charging datum for an electric vehicle, the system comprising:

an electric aircraft, wherein the electric aircraft comprises:

a sensor, wherein the sensor is configured to:

detect a connection with a charging connector;

at least a battery pack, wherein the at least a battery pack comprises a plurality of battery cells;

an aircraft recharging component, the aircraft recharging component comprising an aircraft side recharging component, wherein the aircraft side recharging component is configured to form a charge connection with the charging connector;

a controller, wherein the controller is configured to:

generate a battery parameter set as a function of the connection with the charging connector, wherein generating the battery parameter set further comprises:

selecting a training set as a function of the battery parameter set, wherein the battery parameter set is correlated to an element of charging data;

training a pre-charge machine learning model using the training set; and

generating using the pre-charge machine learning model, a pre-charge function based on the battery parameter set; and

transmit the battery parameter set to the charging connector.

2. The system of claim 1 , wherein the electric aircraft further comprises an electric aircraft port.

3. The system of claim 2 , wherein the electric aircraft port is configured to mate with the charging connector.

4. The system of claim 2 , wherein the electric aircraft port is configured to receive a current from the charging connector as a function of the connection with the charging connector.

5. The system of claim 2 , wherein the current is a direct current.

6. The system of claim 2 , wherein the electric aircraft port is further configured to support bidirectional charging.

7. The system of claim 1 , wherein the aircraft recharging component comprises an aircraft side recharging component coupled to the sensor.

8. The system of claim 1 , wherein the electric aircraft further comprises a database.

9. The system of claim 1 , wherein the battery parameter set comprises:

at least a charge requirement;

at least a charging parameter; and

at least a cooling parameter.

10. The system of claim 1 , wherein the pre-charge function comprises a determination on whether the charging connector has a capability to provide recharge to the electric aircraft.

11. A method for communicating at least a pre-charging datum for an electric vehicle, the method comprising:

detecting, by a sensor, a connection with a charging connector;

forming, by an aircraft recharging component, a charge connection with a charge station;

generating, by a controller, a battery parameter set, wherein generating the battery parameter set further comprises:

selecting a training set as a function of the battery parameter set, wherein the battery parameter set is correlated to an element of charging data;

training a pre-charge machine learning model using the training set; and

generating using the pre-charge machine learning model, a pre-charge function based on the battery parameter set and transmitting the battery parameter set to the charging connector.

12. The method of claim 11 , wherein the electric aircraft further comprises an electric aircraft port.

13. The method of claim 12 , wherein the electric aircraft port is configured to mate with the charging connector.

14. The method of claim 12 , wherein the electric aircraft port is configured to receive a current from the charging connector as a function of the connection with the charging connector.

15. The method of claim 14 , wherein the current is a direct current.

16. The method of claim 12 , wherein the electric aircraft port is further configured to support bidirectional charging.

17. The method of claim 11 , wherein the aircraft recharging component comprises an aircraft side recharging component coupled to the sensor.

18. The method of claim 11 , wherein the electric aircraft further comprises a database.

19. The method of claim 11 , wherein the battery parameter set comprises:

at least a charge requirement;

at least a charging parameter; and

at least a cooling parameter.

20. The method of claim 11 , wherein the pre-charge function comprises a determination on whether the charging connector has a capability to provide recharge to the electric aircraft.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 15, 2021
From: WIEGMAN, HERMAN
To: BETA AIR, LLC
Reel/Frame 058112/0678 →
Cited By (3)
US 12,374,916 US 12,401,203 US 12,709,410