Systems and methods for determining remaining useful energy in an electric aircraft
A system for determining remaining useful energy in an electric aircraft, the system including a computing device where the computing device is configured to measure a internal state datum of a battery as a function of at least a sensor, receive the internal state datum from the at least a sensor, generate a useful energy remaining datum as a function of the internal state datum and a battery model, and display the useful energy remaining datum to a user.
1. A system for determining remaining useful energy in an electric aircraft, the system comprising a computing device, wherein the computing device is configured to:
measure an internal state datum of a battery as a function of at least a sensor, wherein the battery is on an electric aircraft;
receive the internal state datum from the at least a sensor;
train a machine-learning model using training data stored in a database on the electric aircraft, wherein the training data includes battery internal state datum correlated to battery remaining useful energy data, and wherein the training data stored on the electric aircraft is updated at preset intervals;
generate a useful energy remaining datum as a function of the internal state datum, a battery model and the trained machine-learning model; and
display the useful energy remaining datum to a user.
2. The system of claim 1 , wherein the computing device is further configured to display a depth of discharge of the battery.
3. The system of claim 1 , wherein the computing device is further configured to utilize a neural network.
4. The system of claim 1 , wherein the computing device is further configured to generate a battery degradation rate as a function of the internal state datum and the battery model.
5. The system of claim 4 , wherein the computing device is further configured to display the battery degradation rate to the user.
6. The system of claim 1 , wherein the computing device is further configured to generate a thermal datum as a function of the internal state datum and the battery model.
7. The system of claim 6 , wherein the computing device is configured to calculate a probability of a thermal runaway as a function of the thermal datum.
8. The system of claim 7 , wherein the computing device is further configured to display a warning to the user as a function of the calculation.
9. The system of claim 1 , wherein the computing device is further configured to display a remaining flight range as a function of the useful energy remaining datum.
10. A method for determining remaining useful energy in an electric aircraft, the method comprising:
measuring, by a computing device, an internal state datum of a battery as a function of at least a sensor, wherein the battery is on an electric aircraft;
receiving, by the computing device, the internal state datum from the at least a sensor;
training, by the computing device, a machine-learning model using training data stored in a database on the electric aircraft, wherein the training data includes battery internal state datum correlated to battery remaining useful energy data, and wherein the training data stored on the electric aircraft is updated at preset intervals;
generating, by the computing device, a useful energy remaining datum as a as a function of the internal state datum, a battery model and the trained machine-learning model; and
displaying, by the computing device, the useful energy remaining datum to a user.
11. The method of claim 10 , wherein the method further comprises displaying, by the computing device, a depth of discharge of the battery.
12. The method of claim 10 , wherein the method further comprises utilizing, by the computing device, a neural network.
13. The method of claim 10 , wherein the method further comprises generating, by the computing device, a battery degradation rate as a function of the internal state datum and the battery model.
14. The method of claim 13 , wherein the method further comprises displaying, by the computing device, the battery degradation rate to the user.
15. The method of claim 10 , wherein the method further comprises generating, by the computing device, a thermal datum as a function of the internal state datum and the battery model.
16. The method of claim 15 , wherein the method further comprises calculating, by the computing device, a probability of a thermal runaway as a function of the thermal datum.
17. The method of claim 16 , wherein the method further comprises displaying, by the computing device, a warning to the user as a function of the calculation.
18. The method of claim 10 , wherein the method further comprises displaying, by the computing device, a remaining flight range as a function of the useful energy remaining datum.