User interface system and method

• US 9,122,567 B2
• Filed: 03/14/2013
• Issued: 09/01/2015
• Est. Priority Date: 03/14/2013
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: MacNeille, Perry Robinson, Loftus, Michael Edward, Proietty, John
• Primary Examiner(s): Anwari, Maceeh
• Application Number:
  US13/828,908
• Publication Number:
  US 20140277872A1
• Time in Patent Office: 901 Days
• Field of Search: 701/22
• US Class Current: 1/1
• CPC Class Codes: G01C 21/3415 Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
• CPC Class Codes: G06F 17/00 Digital computing or data processing equipment or methods, specially adapted for specific functions information retrieval, database structures or file system structures therefor G06F16/00
• CPC Class Codes: Y02T 10/70 Energy storage systems for electromobility, e.g. batteries

Abstract

A system and method for controlling an electric-vehicle is provided. The system and method calculates a likelihood of arriving at a destination based on vehicle data and a current route. The likelihood is compared to least a first threshold and a second threshold. A first action is implemented when the likelihood is less than the first threshold and greater than the second threshold. A second action being different from the first action is implemented when the likelihood is less than the second threshold.

Claims

1. An interface system for an electric vehicle, the system comprising:

an interface for communicating with a vehicle user; and

a controller in communication with the interface and configured to;

receive input indicative of a destination;

calculate a likelihood of arriving at the destination based on vehicle data and a present location;

compare the likelihood of arriving to at least a first threshold and a second threshold;

implement a first action when the likelihood of arriving is less than at the first threshold and greater than the second threshold; and

implement a second action, different from the first action, when the likelihood of arriving is less than the second threshold, the second action automatically adjusting at least one vehicle operating parameter to reduce energy consumption.

2. The system of claim 1, wherein the first action includes communicating an advisory action via the interface to be executed by the vehicle user.

3. The system of claim 1 wherein the first action includes communicating an advisory action message via the interface to be executed by the vehicle user, wherein the advisory action message advises the user to take an alternate route including at least one of a more direct route and a least-energy route.

4. The system of claim 1 wherein the controller is further configured to implement a third action being different from the first and second actions, when the likelihood of arriving is less than a third threshold, wherein the third action is automatically executed by the controller.

5. An electric-vehicle system comprising:

a controller configured to;

calculate a likelihood of arriving at a destination based on vehicle data and a current location;

compare the likelihood to at least first and second thresholds;

implement a first action when the likelihood is less than the first threshold and greater than the second threshold; and

implement a different second action to automatically adjust vehicle operating parameters to reduce energy consumption when the likelihood is less than the second threshold.

6. The system of claim 5 wherein the first action includes communicating an advisory action to be executed by a vehicle user.

7. The system of claim 5 wherein the first action includes communicating an advisory action message, via an interface, to be executed by a vehicle user, wherein the advisory action message advises the user to take an alternate route including at least one of a more direct route and a least-energy route.

8. The system of claim 5 wherein the vehicle operating parameter includes at least one a maximum vehicle speed or a vehicle accessory level.

9. The system of claim 5 wherein the vehicle data at least includes a battery charge level and the controller is further configured to calculate the likelihood of arriving at a destination based on route data including at least one of traffic, weather, and terrain data.

10. The system of claim 5 wherein the controller is further configured to implement a third action being different from the first and second actions, when the likelihood of arriving is less than a third threshold, wherein the third action is automatically executed by the controller.

11. The system of claim 10 wherein the third action includes at least one of setting an alternate destination and locating a rescuer.

12. A vehicle control method comprising:

calculating a likelihood of arriving at a destination based on vehicle data and a current location;

comparing the likelihood to at least first and second thresholds;

implementing a first action when the likelihood is less than the first threshold and greater than the second threshold; and

implementing a different second action to automatically adjust vehicle operating parameters to reduce energy consumption, when the likelihood is less than the second threshold.

13. The method of claim 12 wherein the first action includes communicating an advisory action to be executed by a vehicle user.

14. The method of claim 12 wherein the first action includes communicating an advisory action message via an interface to be executed by a vehicle user, wherein the advisory action message advises the user to take an alternate route including at least one of a more direct route and a least-energy route.

15. The method of claim 12 wherein adjusting the vehicle operating parameter includes as least one of reducing a maximum vehicle speed or reducing a vehicle accessory level.

16. The method of claim 12 further comprising implementing a third action being different from the first and second actions when the likelihood of arriving is less than a third threshold, the third action being automatically executed by the vehicle, and including at least one of setting an alternate destination and locating a rescuer.

17. The method of claim 12 further comprising calculating the likelihood of arriving at the destination after implementing one of the first action or the second action.