PREDICTIVE POWERTRAIN CONTROL USING DRIVING HISTORY

• US 20130274952A1
• Filed: 04/08/2013
• Published: 10/17/2013
• Est. Priority Date: 04/16/2012
• Status: Abandoned Application

• Current Assignee: FCA US LLC (Stellantis NV)
• Original Assignee: FCA US LLC (Stellantis NV)
• Inventors: Weslati, Feisel, Krupadanam, Ashish S.
• Application Number:
  US13/858,164
• Publication Number:
  US 20130274952A1
• Time in Patent Office: Days
• US Class Current: 701/1
• CPC Class Codes: B60W 10/11 Stepped gearings
• CPC Class Codes: B60W 10/26 for electrical energy, e.g. batteries or capacitors
• CPC Class Codes: B60W 2050/0075 Automatic parameter input, automatic initialising or calibrating means
• CPC Class Codes: B60W 2555/20 Ambient conditions, e.g. wind or rain
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 2556/65 Data transmitted between vehicles
• CPC Class Codes: B60W 30/18 Propelling the vehicle
• CPC Class Codes: B60W 40/02 related to ambient conditions
• CPC Class Codes: B60W 50/0097 Predicting future conditions
• CPC Class Codes: Y02T 10/40 Engine management systems
• CPC Class Codes: Y02T 10/84 Data processing systems or methods, management, administration

Abstract

A method and powertrain apparatus that predicts a route of travel for a vehicle and predicts powertrain loads and speeds for the predicted route of travel. The predicted powertrain loads and speeds are then used to optimize at least one powertrain operation for the vehicle.

Claims

1. A method of controlling a vehicle powertrain, said method comprising:

determining a present location of the vehicle;

predicting a route of travel for the vehicle from the present location based on the current day and time;

predicting powertrain loads and speeds based on the predicted route of travel; and

optimizing a powertrain operation based on the predicted powertrain loads and speeds.

2. The method of claim 1, wherein the optimized powertrain operation comprises one of shift scheduling and battery control.

3. The method of claim 1, wherein predicting the route of travel comprises:

determining if a next segment in a map database associated with a segment corresponding to the present location is traveled more than a predetermined threshold on a similar day and time as the current day and time; and

adding the next segment to the predicted route of travel if it is determined that the next segment is traveled more than the predetermined threshold on a similar day and time as the current day and time.

4. The method of claim 3, wherein the next segment is not added if additional information indicates that another segment should be added to the predicted route.

5. The method of claim 4, wherein the additional information is input from a vehicle to vehicle data source.

6. The method of claim 4, wherein the additional information is input from a vehicle to infrastructure data source.

7. The method of claim 4, wherein the additional information is input from a navigation system.

8. The method of claim 1, wherein predicting powertrain loads and speeds comprises determining route information for the predicted route of travel;

and

determining the powertrain loads and speeds for the determined route information using a powertrain and vehicle model.

9. The method of claim 8, wherein the route information includes battery charging locations.

10. The method of claim 1, wherein determining the present location of the vehicle further comprises recording a present segment corresponding to the present location with a time stamp.

11. A powertrain apparatus for a vehicle, said apparatus comprising:

a controller adapted to;

determine a present location of the vehicle;

predict a route of travel for the vehicle from the present location based on the current day and time;

predict powertrain loads and speeds based on the predicted route of travel; and

optimize a powertrain operation based on the predicted powertrain loads and speeds.

12. The apparatus of claim 11, wherein the optimized powertrain operation comprises one of shift scheduling and battery control.

13. The apparatus of claim 11, wherein the controller predicts the route of travel by:

determining if a next segment in a map database associated with a segment corresponding to the present location is traveled more than a predetermined threshold on a similar day and time as the current day and time; and

adding the next segment to the predicted route of travel if it is determined that the next segment is traveled more than the predetermined threshold on a similar day and time as the current day and time.

14. The apparatus of claim 13, wherein the next segment is not added if additional information indicates that another segment should be added to the predicted route.

15. The apparatus of claim 14, wherein the additional information is input from a vehicle to vehicle data source.

16. The apparatus of claim 14, wherein the additional information is input from a vehicle to infrastructure data source.

17. The apparatus of claim 14, wherein the additional information is input from a navigation system.

18. The apparatus of claim 11, wherein the controller predicts powertrain loads and speeds by:

determining route information for the predicted route of travel; and

determining the powertrain loads and speeds for the determined route information using a powertrain and vehicle model.

19. The apparatus of claim 18, wherein the route information includes battery charging locations.

20. The apparatus of claim 11, wherein the controller records a present segment corresponding to the present location with a time stamp.