Method of optimizing energy use of a power plant using geographical information without user input to the navigation system

• US 9,045,126 B2
• Filed: 11/07/2011
• Issued: 06/02/2015
• Est. Priority Date: 11/07/2011
• Status: Active Grant

• Current Assignee: Honda Motor Co., Ltd. (Honda Motor Company)
• Original Assignee: Honda Motor Co., Ltd. (Honda Motor Company)
• Inventors: Harty, Ryan
• Primary Examiner(s): Trammell, James
• Assistant Examiner(s): Stroud, James E
• Application Number:
  US13/290,837
• Publication Number:
  US 20130116870A1
• Time in Patent Office: 1,303 Days
• Field of Search: 701/22
• US Class Current: 1/1
• CPC Class Codes: B60W 10/06 including control of combustion engines
• CPC Class Codes: B60W 10/08 including control of electric propulsion units, e.g. motors or generators
• CPC Class Codes: B60W 20/00 Control systems specially adapted for hybrid vehicles hybrid vehicle design, B60K6/00; electric vehicles B60L
• CPC Class Codes: B60W 20/12 using control strategies taking into account route information estimation or calculation of non-directly measurable driving parameters B60W40/00
• CPC Class Codes: B60W 2552/05 Type of road, e.g. motorways, local streets, paved or unpaved roads
• CPC Class Codes: B60W 2554/00 Input parameters relating to objects
• CPC Class Codes: B60W 2554/406 Traffic density
• CPC Class Codes: B60W 2555/20 Ambient conditions, e.g. wind or rain
• CPC Class Codes: B60W 2555/60 Traffic rules, e.g. speed limits or right of way
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: Y02T 10/62 Hybrid vehicles

Abstract

A telematics-navigation device detects that a hybrid vehicle propelled by at least two energy sources is traveling to a destination not provided to the vehicle (i.e., an unknown destination). As the vehicle travels to the destination, the device identifies a road segment between a current position of the vehicle and a next road junction that vehicle is traveling towards. A control unit determines an optimization strategy for managing the energy sources of the vehicle as the vehicle travels the road segment. The control unit executes the determined strategy.

Claims

1. A computer-implemented method for managing at least two energy sources used to propel a hybrid vehicle, the method comprising:

detecting, by a device, that the vehicle is traveling, wherein a final destination that the vehicle is traveling toward is not provided to the vehicle;

responsive to the detecting, as the vehicle travels to the final destination;

determining, upon the vehicle reaching a first position, a first road junction that the vehicle is travelling towards with no other road junction between the first position and the first road junction;

identifying a first road segment of a road as being between the first position of the vehicle and the first road junction;

determining, after entering the first road segment, a first optimization strategy only for the first road segment and not for other road segments, the first optimization strategy for managing the energy sources of the vehicle as the vehicle travels the first road segment;

executing the first optimization strategy for the first road segment;

responsive to detecting the vehicle reaching the first road junction, identifying a second road segment between a second position of the vehicle and a second road junction with no other road junction between the second position and the second road junction;

determining, after entering the second road segment, a second optimization strategy only for the second road segment and not for other road segments, the first optimization strategy for managing the energy sources of the vehicle as the vehicle travels the second road segment; and

executing the second optimization strategy for the second road segment.

2. The method of claim 1, wherein the first optimization strategy is determined based on information retrieved for the first road segment.

3. The method of claim 2, wherein the information includes at least one of geographic information, traffic information, road surface type, and weather information.

4. The method of claim 1, wherein executing the first optimization strategy comprises controlling the use of the energy sources according to the first optimization strategy as the vehicle travels the first road segment.

5. The method of claim 1, wherein the determined first optimization strategy minimizes the usage of one of the energy sources.

6. The method of claim 1, wherein the energy sources for which the first optimization strategy is determined include at least two of the following:

chemical fuel, fossil fuel, biofuel, hydrogen, ethanol, electric energy, and mechanical energy.

7. The method of claim 1, wherein the first road junction is a major road junction where a first road intersects with a second road having a minimum number of lanes in one direction.

20. The method of claim 1, wherein one of the energy sources is electric energy and the determined first optimization strategy maximizes usage of the electric energy.

8. An energy optimization system for managing at least two energy sources used to propel a hybrid vehicle, the system comprising:

a telematics-navigation device configured to;

detect that the vehicle is traveling, wherein a final destination that the vehicle is traveling toward is not provided to the vehicle;

responsive to detecting that the vehicle is traveling, as the vehicle travels to the final destination;

determine, upon the vehicle reaching a first position, a first road junction that the vehicle is travelling towards with no other road junction between the first position and the first road junction;

identify a first road segment of a road as being between the first position of the vehicle and the first road junction; and

a control unit configured to;

determine, after entering the first road segment, a first optimization strategy only for the first road segment and not for other road segments, the first optimization strategy for managing the energy sources of the vehicle as the vehicle travels the first road segment; and

execute first optimization strategy for the first road segment

the telematics-navigation device further configured to responsive to detecting the vehicle reaching the first road junction, identify a second road segment between a second position of the vehicle and a second road junction with no other road junction between the second position and the second road junction; and

the control unit further configured to;

determine, after entering the second road segment, a second optimization strategy only for the second road segment and not for other road segments, the second optimization strategy for managing the energy sources of the vehicle as the vehicle travels the second road segment; and

execute the second optimization strategy for the second road segment.

9. The system of claim 8, wherein the first optimization strategy is determined based on information retrieved for the first road segment.

10. The system of claim 9, wherein the information includes at least one of geographic information, traffic information, road surface type, and weather information.

11. The system of claim 8, wherein executing the first optimization strategy comprises controlling the use of the energy sources according to the first optimization strategy as the vehicle travels the first road segment.

12. The system of claim 8, wherein the determined first optimization strategy minimizes the usage of one of the energy sources.

13. The system of claim 8, wherein the energy sources for which the first optimization strategy is determined include at least two of the following:

chemical fuel, fossil fuel, biofuel, hydrogen, ethanol, electric energy, and mechanical energy.

14. The system of claim 8, wherein the first road junction is a major road junction where a first road intersects with a second road having a minimum number of lanes in one direction.

15. One or more non-transitory computer-readable storage mediums having computer-executable code for managing at least two energy sources used to propel a hybrid vehicle, the computer-executable code comprising:

a road segment module configured to;

detect that the vehicle is traveling, wherein a final destination that the vehicle is traveling toward is not provided to the vehicle;

responsive to detecting that the vehicle is traveling, as the vehicle travels to the final destination;

determine, upon the vehicle reaching a first position, a first road junction that the vehicle is travelling towards with no other road junction between the first position and the first road junction;

identify a first road segment of a road as being between the first position of the vehicle and the first road junction;

a strategy module configured to determine after entering the first road segment, a first optimization strategy only for the first road segment and not for other road segments, the first optimization strategy for managing the energy sources of the vehicle as the vehicle travels the first road segment;

an execution module configured to execute the first optimization strategy

the road segment module further configured to responsive to detecting the vehicle reaching the first road junction, identify a second road segment between a second position of the vehicle and a second road junction with no other road junction between the second position and the second road junction;

the strategy module further configured to determine, after entering the second road segment, a second optimization strategy only for the second road segment and not for other road segments, the second optimization strategy for managing the energy sources of the vehicle as the vehicle travels the second road segment; and

the execution module further configured to execute the second optimization strategy for the second road segment.

16. The one or more computer-readable storage mediums of claim 15, wherein the first optimization strategy is determined based on information retrieved for the first road segment.

17. The one or more computer-readable storage mediums of claim 16, wherein the information includes at least one of geographic information, traffic information, road surface type, and weather information.

18. The one or more computer-readable storage mediums of claim 15, wherein the execution module is further configured to control the use of the energy sources according to the first optimization strategy as the vehicle travels the first road segment.

19. The one or more computer-readable storage mediums of claim 15, wherein the energy sources for which the optimization strategy is determined include at least two of the following:

chemical fuel, fossil fuel, biofuel, hydrogen, ethanol, electric energy, and mechanical energy.