Systems and methods for managing fleets of autonomous vehicles to optimize electric budget
Communication network architectures, systems, and methods for supporting a network of mobile nodes. As a non-limiting example, various aspects of this disclosure provide autonomous vehicle network architectures, systems, and methods for supporting a dynamically configurable network of autonomous vehicles comprising a complex array of both static and moving communication nodes, including systems and methods for managing fleets of autonomous vehicles to optimize electric budget.
1. A method for managing operation of a vehicle, comprising:
determining by the vehicle a battery level of its battery;
determining by the vehicle, based on the battery level, a first charging station at which to charge the battery; and
controlling by the vehicle without a user input, based on one or more of the battery level and a location of the first charging station, operation of one or more of hardware devices and software applications.
2. The method of claim 1 , comprising receiving updates on status of one or more charging stations, including the first charging station.
3. The method of claim 2 , comprising changing, based on the updates, from the first charging station to a second charging station to charge the battery.
4. The method of claim 2 , wherein the updates comprise one or more of: expected time to drive to each of the one or more charging stations, expected wait time at each of the plurality of the one or more charging stations until a charging spot is available, and expected charge time at each one of the one or more charging stations once the charging spot is acquired.
5. The method of claim 1 , comprising controlling data transfer based on one or more of the battery level, availability of a fixed access point, and mode of operation of the vehicle.
6. The method of claim 5 , wherein the data transfer occurs via another vehicle.
7. The method of claim 1 , comprising providing, by the vehicle, environment data to one or both of: other vehicles and a cloud server.
8. The method of claim 1 , wherein the environment data comprises one or more of: traffic information, infrastructure information, and vehicle information.
9. A vehicle, comprising:
a battery storage level block configured to determine a battery level of a battery in the vehicle; and
one or more processors configured to, without a user input:
determine, based on the battery level, a first charging station at which to charge the battery; and
control, based on one or more of the battery level and a location of the first charging station, operation of one or more of hardware devices and software applications.
10. The vehicle of claim 9 , comprising a transceiver configured to receive updates on status of one or more charging stations, including the first charging station.
11. The vehicle of claim 10 , wherein the one or more processors are configured to change, based on the updates, from the first charging station to a second charging station to charge the battery.
12. The vehicle of claim 10 , wherein the updates comprise one or more of: expected time to drive to each of the one or more charging stations, expected wait time at each of the plurality of the one or more charging stations until a charging spot is available, and expected charge time at each one of the one or more charging stations once the charging spot is acquired.
13. The vehicle of claim 9 , wherein the one or more processors are configured to control data transfer based on one or more of the battery level, availability of a fixed access point, and mode of operation of the vehicle.
14. The vehicle of claim 13 , wherein the data transfer occurs via another vehicle.
15. The vehicle of claim 9 , comprising providing, by the vehicle, environment data to one or more of: other vehicles and a cloud server.
16. The vehicle of claim 15 , wherein the environment data comprises one or more of: traffic information, infrastructure information, and vehicle information.