Control system for active aerodynamic devices

1. A control system of a vehicle comprising:

a plurality of adjustable aerodynamic control devices associated with the vehicle;

a fuel economy sensor configured to determine a first fuel economy measurement; and

an aerodynamic device controller module configured to adjust a first one of the plurality of adjustable aerodynamic control devices and to receive from the fuel economy sensor a second fuel economy measurement,

wherein the aerodynamic device controller module is further configured to store in an onboard database state information corresponding to settings of the plurality of adjustable aerodynamic control devices if the second fuel economy measurement is an improvement over the first fuel economy measurement.

2. The control system of a vehicle in claim 1 , further comprising:

a vehicle stability sensor configured to determine a first vehicle stability measurement,

wherein the aerodynamic device controller module, in response to the adjustment of the first one of the adjustable aerodynamic control devices, receives from the vehicle stability sensor a second vehicle stability measurement.

3. The control system of a vehicle in claim 2 , wherein the aerodynamic device controller module is further configured to store in the onboard database the state information corresponding to settings of the plurality of adjustable aerodynamic control devices if the second vehicle stability measurement is an improvement over the first vehicle stability measurement.

4. The control system of a vehicle in claim 3 , further comprising:

a wireless transceiver coupled to the aerodynamic device controller module and configured to communicate with a remote cloud storage database via a cellular network,

wherein the aerodynamic device controller module is further configured to transmit to the remote cloud storage database via the wireless transceiver the state information corresponding to settings of the plurality of adjustable aerodynamic control devices if the second fuel economy measurement is an improvement over the first fuel economy measurement.

5. The control system of a vehicle in claim 4 , wherein the aerodynamic device controller module is further configured to transmit to the remote cloud storage database via the wireless transceiver the state information corresponding to settings of the plurality of adjustable aerodynamic control devices if the second vehicle stability measurement is an improvement over the first vehicle stability measurement.

6. The control system of a vehicle in claim 3 , wherein the aerodynamic device controller module further comprises:

a control and coordination module; and

a self-learning system module coupled to the control and coordination module and including a deep neural network,

wherein the control and coordination module receives vehicle data and weather data and stores the state information corresponding to settings of the plurality of adjustable aerodynamic control devices in the onboard database.

7. The control system of a vehicle in claim 6 , wherein the vehicle data includes a vehicle speed value.

8. The control system of a vehicle in claim 7 , wherein the vehicle data includes GPS road data and wherein the GPS road data includes a vehicle direction value.

9. The control system of a vehicle in claim 6 , wherein the vehicle data includes yaw data, roll data, and pitch data.

10. The control system of a vehicle in claim 6 , wherein the weather data includes a wind speed value and a wind direction value.

11. A method of controlling a plurality of adjustable aerodynamic control devices associated with a vehicle comprising:

in a fuel economy sensor, determining a first fuel economy measurement;

adjusting a first one of the plurality of adjustable aerodynamic control devices;

receiving from the fuel economy sensor a second fuel economy measurement; and

storing in an onboard database of vehicle state information corresponding to settings of the plurality of adjustable aerodynamic control devices if the second fuel economy measurement is an improvement over the first fuel economy measurement.

12. The method in claim 11 , further comprising:

in a vehicle stability sensor, determining a first vehicle stability measurement; and

in response to the adjustment of the first one of the adjustable aerodynamic control devices, receiving from the vehicle stability sensor a second vehicle stability measurement.

13. The method in claim 12 , further comprising:

storing in the onboard database the vehicle state information corresponding to settings of the plurality of adjustable aerodynamic control devices if the second vehicle stability measurement is an improvement over the first vehicle stability measurement.

14. The method in claim 13 , further comprising:

transmitting to a remote cloud storage database via a wireless transceiver the vehicle state information corresponding to settings of the plurality of adjustable aerodynamic control devices if the second fuel economy measurement is an improvement over the first fuel economy measurement.

15. The method in claim 14 , further comprising:

transmitting to the remote cloud storage database via the wireless transceiver the vehicle state information corresponding to settings of the plurality of adjustable aerodynamic control devices if the second vehicle stability measurement is an improvement over the first vehicle stability measurement.

16. The method in claim 13 , wherein storing the vehicle state information corresponding to settings of the plurality of adjustable aerodynamic control devices is performed by a self-learning system module including a deep neural network, and further including:

receiving vehicle data and weather data; and

storing the vehicle state information corresponding to settings of the plurality of adjustable aerodynamic control devices in the onboard database.

17. The method in claim 16 , wherein the vehicle data includes a vehicle speed value.

18. The method in claim 17 , wherein the vehicle data includes GPS road data and wherein the GPS road data includes a vehicle direction value.

19. The method in claim 16 , wherein the vehicle data includes yaw data, roll data, and pitch data.

20. The method in claim 16 , wherein the weather data includes a wind speed value and a wind direction value.