IP Library Granted Patent US 10,295,355
Granted Patent B2
US 10,295,355 · App. 15/301,738 · Granted May 21, 2019

Trip planning with energy constraint

Inventors: Andrew D. Baglino (San Francisco, CA); Thorsten Hayer (Burlingame, CA); Brennan Boblett (Palo Alto, CA); Matthew Fox (Woody Creek, CO); Vineet H. Mehta (Mountain View, CA); Keijiro Ikebe (Cupertino, CA); Kevin Hsieh (Emerald Hills, CA); Craig B. Carlson (Los Altos, CA); Jeffrey B. Straubel (Menlo Park, CA)
Assignee: Tesla, Inc.
G01C21/3469G01C21/3697Y02T10/7258
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Quick Facts
Patent No.
US 10,295,355
App. No.
15/301,738
Granted
May 21, 2019
Kind
B2
Abstract

A method includes: receiving information corresponding at least to (i) a state of charge of an energy storage of a vehicle, (ii) route information corresponding to a planned driving route for the vehicle, and (iii) a predicted driver characteristic; determining using the received information, and presenting to a driver of the vehicle, a first energy-versus-distance measure for the planned driving route; receiving a user input indicating a proposed change in at least the driver characteristics, and determining using the received information and the user input, and presenting to the driver, a second energy-versus-distance measure for the planned driving route that takes into account the proposed change.

Claims (45)

1. A method comprising:

receiving information corresponding at least to (i) a state of charge of an energy storage of a vehicle, (ii) route information corresponding to a planned driving route for the vehicle, and (iii) a predicted driver characteristic;

determining, using the received information, a first energy-versus-distance measure for the planned driving route;

presenting the first energy-versus-distance measure on a user interface associated with the vehicle;

receiving, via the user interface, a user input to a drive simulator proposing a what-if scenario, the user input indicating a proposed change in at least the predicted driver characteristic, wherein the proposed change in the predicted driver characteristic would alter the first energy- versus-distance measure;

determining, using the received information and the user input, a second energy-versus-distance measure for the planned driving route that takes into account the proposed change in the predicted driver characteristic; and

presenting the second energy-versus-distance measure on the user interface.

2. The method of claim 1 , wherein the predicted driver characteristic includes an estimated driving speed, and wherein the proposed change in the predicted driver characteristic modifies the estimated driving speed.

3. The method of claim 1 , wherein the predicted driver characteristic reflects a driving record of an associated driver.

4. The method of claim 1 , wherein the predicted driver characteristic reflects driving records from a fleet of vehicles.

5. The method of claim 1 , wherein the information further reflects an estimated climate system usage, and wherein the proposed change modifies the estimated climate system usage.

6. The method of claim 1 , wherein the information further reflects an estimated vehicle closure setting, and wherein the proposed change modifies the estimated vehicle closure setting.

7. The method of claim 1 , wherein presenting the first energy-versus-distance measure and the second energy-versus-distance measure on the user interface comprises presenting a graph of remaining energy in the energy storage as a function of distance.

8. The method of claim 7 , wherein the graph includes, at an endpoint of the planned driving route, respective representations of state-of-charge percentages corresponding to the first energy-versus-distance measure and the second energy-versus-distance measure.

9. The method of claim 8 , wherein the user input is received after the vehicle has been driven for part of the planned driving route, further comprising determining a state-of-charge percentage for the endpoint based on a driven part of the planned driving route, and providing a representation of the determined state-of-charge percentage in the graph.

10. The method of claim 1 , wherein the planned driving route comprises a starting point and an ending point, the method further comprising adding a charging waypoint to the planned driving route, the charging waypoint corresponding to a charging location for the vehicle, wherein a current energy-versus-distance measure is recalculated based on adding the charging waypoint.

11. The method of claim 10 , wherein the charging waypoint is automatically added in response to a state of charge of the energy storage of the vehicle.

12. The method of claim 10 , further comprising presenting, on the user interface, alternative charging waypoints in response to a state of charge of the energy storage of the vehicle, wherein the charging waypoint is added to the planned driving route.

13. The method of claim 10 , further comprising:

receiving a user input indicating the charging location;

determining the charging waypoint based on the charging location; and

displaying the charging waypoint on the user interface.

14. The method of claim 1 , wherein:

the first energy-versus-distance measure is based on historical information;

after determining the vehicle has been driven for part of the planned driving route, determining a third energy-versus-distance measure based on a driven part of the planned driving route, the third energy-versus-distance measure modifying the first energy-versus-distance measure using a model error and a driver error; and

in response to the user input, determining the second energy-versus-distance measure by modifying the first energy-versus-distance measure using the proposed change and the model error, but not the driver error.

15. The method of claim 1 , further comprising:

presenting the user with instructions to adjust a recommended charging amount based on the proposed change.

16. A non-transitory computer readable storage medium having stored thereon instructions that when executed cause a processor to perform operations comprising:

receiving information corresponding at least to (i) a state of charge of an energy storage of a vehicle, (ii) route information corresponding to a planned driving route for the vehicle, and (iii) a predicted driver characteristic;

determining, using the received information, a first energy-versus-distance measure for the planned driving route;

presenting the first energy-versus-distance measure on a user interface associated with the vehicle;

receiving, via the user interface, a user input to a drive simulator proposing a what-if scenario, the user input indicating a proposed change in at least the predicted driver characteristic, wherein the proposed change in the predicted driver characteristic would alter the first energy-versus-distance measure;

determining, using the received information and the user input, a second energy-versus-distance measure for the planned driving route that takes into account the proposed change; and

presenting the second energy-versus-distance measure on the user interface.

17. The non-transitory computer readable storage medium of claim 16 , wherein the instructions, when executed by the processor, perform operations further comprising:

displaying an input control selectable to display the drive simulator in conjunction with the second energy-versus-distance measure on the user interface.

18. The non-transitory computer readable storage medium of claim 16 , wherein the second energy-versus-distance measure includes:

an estimated remaining charge amount, assuming the proposed change were to be incorporated into one or more system-proposed routes.

19. A non-transitory computer readable storage medium having stored thereon instructions that when executed cause a processor to generate a first graphical user interface comprising:

an area presenting a first energy-versus-distance measure for a planned driving route for an electric vehicle, the first energy-versus-distance measure determined using received information comprising at least (i) a state of charge of an energy storage of the electric vehicle, (ii) route information corresponding to the electric vehicle, and (iii) a predicted driver characteristic; and

an input control for generating a user input to a drive simulator proposing a what-if scenario, the user input indicating a proposed change in at least the predicted driver characteristic, wherein the proposed change in the predicted driver characteristic would alter the first energy-versus-distance measure,

and wherein a second energy-versus-distance measure for the planned driving route is determined using the received information and the user input and presented in the area, the second energy-versus-distance measure taking into account the proposed change.

20. The non-transitory computer readable storage medium of claim 19 , wherein the instructions, when executed by the processor, generate a second graphical user interface comprising:

an input control configured to activate display the drive simulator.

Assignments (2)
CHANGE OF NAME Recorded Jan 17, 2019
From: TESLA MOTORS, INC.
To: TESLA, INC.
Reel/Frame 048083/0358 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 4, 2017
From: BAGLINO, ANDREW D.; HAYER, THORSTEN; BOBLETT, BRENNAN; FOX, MATTHEW; MEHTA, VINEET H.; IKEBE, KEIJIRO; HSIEH, KEVIN; CARLSON, CRAIG B.; STRAUBEL, JEFFREY B.
To: TESLA MOTORS, INC.
Reel/Frame 041839/0974 →
Continuity (2)
Provisional Application 61975534 · Apr 4, 2014
Related Publication 20170030728A1 · Feb 2, 2017
Cited By (3)
US 12,370,868 US 12,447,852 US 12,704,381