System and method for improving energy efficiency of a vehicle based on determined relationships between a plurality of routes

• US 9,605,606 B2
• Filed: 03/31/2014
• Issued: 03/28/2017
• Est. Priority Date: 03/31/2014
• Status: Active Grant

• Current Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Original Assignee: Toyota Motor Engineering & Manufacturing North America Incorporated (Toyota Motor Corporation)
• Inventors: Dufford, Mohammad E., Payne, Joshua D., Gaither, Geoffrey D.
• Primary Examiner(s): Wong, Yuen
• Application Number:
  US14/230,967
• Publication Number:
  US 20150275788A1
• Time in Patent Office: 1,093 Days
• 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 20/12 using control strategies taking into account route information estimation or calculation of non-directly measurable driving parameters B60W40/00
• CPC Class Codes: B60W 2552/20 Road profile, i.e. the change in elevation or curvature of a plurality of continuous road segments
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 30/18009 related to particular drive situations
• CPC Class Codes: B60W 50/0097 Predicting future conditions
• CPC Class Codes: F02D 2200/0625 Fuel consumption, e.g. measured in fuel liters per 100 kms or miles per gallon
• CPC Class Codes: F02D 2200/501 Vehicle speed
• CPC Class Codes: F02D 2200/602 Pedal position
• CPC Class Codes: F02D 2200/701 Information about vehicle position, e.g. from navigation system or GPS signal
• CPC Class Codes: F02D 29/02 peculiar to engines driving vehicles; peculiar to engines driving variable pitch propellers
• CPC Class Codes: F02N 11/0837 Environmental conditions thereof, e.g. traffic, weather or road conditions
• CPC Class Codes: F02N 2200/123 Information about vehicle position, e.g. from navigation systems or GPS signals
• CPC Class Codes: F02N 2300/2006 using prediction of future conditions
• CPC Class Codes: Y02T 10/40 Engine management systems
• CPC Class Codes: Y02T 10/62 Hybrid vehicles
• CPC Class Codes: Y10S 903/93 Conjoint control of different elements

Abstract

A method/system for optimizing vehicle operations for a predicted route and/or a route set. The method/system may record location data and time data for a route. Two or more routes can be linked to form a route set by analyzing the location data and time data of the routes using a linking threshold. The linking threshold may be based on a relationship between locations and/or times of different routes. The vehicle may predict that a particular route segment or route will likely be driven. An operation of a unit or a device of the vehicle over the predicted route and/or route set may be adjusted based on information stored regarding the predicted route and/or route set in order to enhance the energy efficiency of the vehicle. The links may be categorized as having different types in order to apply a different control strategy to different types of links.

Claims

1. A method of optimizing energy efficiency of a vehicle for known routes, the method comprising:

collecting, by a processor, and storing, in a memory, first time data of a first previously-travelled route and first location data for the first previously-travelled route;

collecting, by the processor, and storing, in the memory, second time data of a second previously-travelled route and second location data for the second previously-travelled route;

determining, by the processor, a link between the first previously-travelled route and the second previously-travelled route based on at least one of the first time data, the first location data, the second time data, or the second location data;

categorizing, by the processor, the link between the first previously-travelled route and the second previously-travelled route into a respective link category of a plurality of link categories based on a time period between the vehicle having travelled the first previously-travelled route and the vehicle having travelled the second previously-travelled route;

determining or predicting, by the processor, a predicted route that includes the first previously-travelled route and the second previously-travelled route that the vehicle will travel over; and

controlling, by the processor, a sequence of a usage of an engine and a battery of the vehicle in advance of or during travelling of the vehicle on the predicted route based on the respective link category of the link between the first previously-travelled route and the second previously-travelled route to optimize the energy efficiency of the vehicle for travel along the predicted route.

2. The method of claim 1 wherein determining or predicting, by the processor, the link between the first previously-travelled route and the second previously-travelled route is based on a linking threshold.

3. The method of claim 2 wherein determining or predicting, by the processor, the predicted route includes determining or predicting that the vehicle will travel on the second previously-travelled route subsequent to traveling on the first previously-travelled route based on the determined or predicted link and the linking threshold.

4. The method of claim 2 wherein the first location data corresponds to at least a start location of the first previously-travelled route and an end location of the first previously-travelled route, and the second location data corresponds to at least a start location of the second previously-travelled route and an end location of the second previously-travelled route,

the linking threshold includes a distance proximity threshold, and

the processor is configured to set the link between the first previously-travelled route and the second previously-travelled route when a distance between the end location of the first previously-travelled route and the start location of the second previously-travelled route is within the distance proximity threshold.

5. The method of claim 1 further comprising storing, in the memory, the respective link category based on the first time data, the first location data, the second time data and the second location data.

6. The method of claim 1 wherein

the first time data corresponds to at least a start time of the first previously-travelled route and an end time of the first previously-travelled route, and the second time data corresponds to at least a start time of the second previously-travelled route and an end time of the second previously-travelled route, and

wherein the time period is between the end time of the first previously-travelled route and the start time of the second previously-travelled route.

7. The method of claim 6 wherein the processor includes an electronic control unit (ECU) connected to the engine of the vehicle, and controlling, by the processor, the sequence of the usage of the engine and the battery of the vehicle includes using the ECU to control the engine and the battery to prevent or reduce energy inefficiency corresponding to re-warming of the engine.

8. The method of claim 6 further comprising providing a motor connected to the processor for driving the vehicle using electrical energy stored in the battery of the vehicle, wherein controlling, by the processor, the sequence of the usage of the engine and the battery of the vehicle includes adjusting, by the processor, power outputted by the motor and the battery in advance of reaching the second previously-travelled route to reserve sufficient charge in the battery for travelling on the second previously-travelled route.

9. The method of claim 1 wherein the processor includes an electronic control unit (ECU), and controlling, by the processor, the sequence of the usage of the engine and the battery of the vehicle includes using the ECU to control the sequence.

10. The method of claim 1 further comprising providing a motor connected to the processor for driving the vehicle using electrical energy stored in the battery of the vehicle, wherein controlling, by the processor, the sequence of the usage of the engine and the battery of the vehicle includes adjusting, by the processor, power outputted by the motor and the battery.

11. The method of claim 1 further comprising:

storing, in the memory, vehicle operation data for the first previously-travelled route and the second previously-travelled route,

wherein controlling, by the processor, the sequence of the usage of the engine and the battery of the vehicle is further based on the vehicle operation data for the first previously-travelled route and the second previously-travelled route.

12. The method of claim 11 wherein

the vehicle operation data includes an energy efficiency value corresponding to efficiency of utilizing power from the engine of the vehicle and power from the battery of the vehicle when the vehicle previously-travelled on the first previously-travelled route, the second previously-travelled route or a route set that includes the first previously-travelled route and the second previously-travelled route, and

controlling, by the processor, the sequence of the usage of the engine and the battery of the vehicle is further based on the energy efficiency value.

13. The method of claim 1 wherein controlling, by the processor, the sequence of the usage of the engine and the battery of the vehicle is further based on a total distance of a route set that includes the linked first previously-travelled route and the second previously-travelled route.

14. A method of optimizing energy efficiency of a vehicle for known routes, the method comprising:

collecting, by a processor, and storing, in a memory, first time data corresponding to a first previously-travelled route and including a start time of the first previously-travelled route and an end time of the first previously-travelled route, and second time data corresponding to a second previously-travelled route and including a start time of the second previously-travelled route and an end time of the second previously-travelled route;

collecting, by the processor, and storing, in the memory, first location data corresponding to a first previously-travelled route and including a start location of the first previously-travelled route and an end location of the first previously-travelled route, and second location data corresponding to a second previously-travelled route and including a start location of the second previously-travelled route and an end location of the second previously-travelled route;

storing, in the memory, a linking threshold;

determining, by the processor, a link between the first previously-travelled route and the second previously-travelled route when the processor determines that the vehicle will travel on the second previously-travelled route subsequent to traveling on the first previously-travelled route based on at least one of the first time data, the second time data, the first location data, the second location data or the linking threshold;

categorizing, by the processor, the link between the first previously-travelled route and the second previously-travelled route into a respective link category of a plurality of link categories based on a time period between the vehicle having travelled the first previously-travelled route and the vehicle having travelled the second previously-travelled route;

determining or predicting, by the processor, a predicted route that includes the first previously-travelled route and the second previously-travelled route that the vehicle will travel over; and

controlling, by the processor, a sequence of a usage of an engine and a battery of the vehicle in advance of or during travelling of the vehicle on the predicted route based on the respective link category of the link between the first previously-travelled route and the second previously-travelled route to optimize the energy efficiency of the vehicle for travel along the predicted route.

15. The method of claim 14 further comprising storing, in the memory, the respective link category.

16. The method of claim 14 further comprising providing a motor connected to the processor for driving the vehicle using electrical energy stored in the battery of the vehicle, wherein

the processor includes an electronic control unit (ECU) connected to the engine of the vehicle, and

controlling, by the processor, the sequence of the usage of the engine and the battery of the vehicle includes:

adjusting, by the processor, power outputted by the engine based on the link type data, or

adjusting, by the processor, power outputted by the motor and the battery based on the respective link category.

17. A system for optimizing energy efficiency of a vehicle for known routes, the system comprising:

a memory for storing first time data and first location data for the first previously-travelled route, and for storing second time data and second location data for the second previously-travelled route; and

a processor configured to;

determine a link between the first previously-travelled route and the second previously-travelled route based on the first time data, the first location data, the second time data, or the second location,

categorize the link between the first previously-travelled route and the second previously-travelled route into a respective link category of a plurality of link categories based on a time period between the vehicle having travelled the first previously-travelled route and the vehicle having travelled the second previously-travelled route,

determine or predict a predicted route that includes the first previously-travelled route and the second previously-travelled route that the vehicle will travel over based on a current location, a current time, the first previously-travelled route, the second previously-travelled route, or the link between the first previously-travelled route and the second previously-travelled route, and

control a sequence of a usage of an engine and a battery of the vehicle in advance of or during travelling of the vehicle on the first previously-travelled route and the second previously-travelled route based on the respective link category.

18. The system of claim 17 wherein

the memory is further configured to store respective link category based on the first time data, the first location data, the second time data, and the second location data.

19. The system of claim 17 further comprising providing a motor connected to the processor for driving the vehicle using electrical energy stored in the battery of the vehicle, wherein the processor is configured to adjust power outputted by the motor and the battery based on the respective link category to optimize the energy efficiency of the vehicle.