Systems and methods for optimizing travel time using route information

Patent metadata

Field	Value
Publication number	US-11597296-B2
Application number	US-202017116917-A
Country	US
Kind code	B2
Filing date	Dec 9, 2020
Priority date	Nov 17, 2005
Publication date	Mar 7, 2023
Grant date	Mar 7, 2023

Abstract

A power management system includes a sensor interface that receives sensor data samples during operation of a vehicle. A storage device stores the sensor data samples for multiple points in time along a route segment traveled by the vehicle. One or more processors analyze the sensor data samples to detect a historical pattern of the vehicle. The one or more processors determine time efficient operational parameters for the vehicle in response to a destination and an estimated travel time to the destination. The estimated travel time may be based on predicted conditions of the vehicle indicated by the historical pattern. The time efficient operational parameters may be selected to decrease the estimated travel time. At least one of the sensor data samples may include telemetry data.

First claim

What is claimed is:

1. A method for optimizing a travel time of a vehicle to a destination, comprising:
using one or more processors:
(A) monitoring a plurality of sensors to generate sensor data samples during operation of a vehicle;
(B) storing said sensor data samples for multiple points in time along a route segment traveled by said vehicle;
(C) analyzing said sensor data samples to detect a historical pattern of said vehicle; and
(D) determining time-power efficient operational parameters for said vehicle in response to (a) a destination, (b) an estimated travel time to said destination, and (c) an estimated power consumption, wherein said estimated travel time is based on predicted conditions of said vehicle indicated by said historical pattern, (ii) said time-power efficient operational parameters are selected to balance between reducing the estimated travel time and reducing the estimated power consumption, and (iii) at least one of said sensor data samples comprises telemetry data.

2. The method of claim 1 , wherein the estimated power consumption is based on historical data related to sensed energy consumption of the vehicle while traveling on a route multiple times.

3. The method of claim 1 , further comprising, using the one or more processors, determining a probable optimal speed for a route, configured to reduce an amount of power consumed by the vehicle, at least in part by determining what speed the vehicle was traveling along the route during a trip in which the vehicle used a least amount of energy traveling the route.

4. The method of claim 1 , further comprising, using the one or more processors, determining a probable optimal speed for a route, configured to reduce an amount of power consumed by the vehicle, and assign a reliability estimate to the probable optimal speed related to a number of times the vehicle has driven the route.

5. The method of claim 1 , further comprising, using the one or more processors, determining a probable optimal speed for a route, configured to reduce an amount of power consumed by the vehicle, using only a subset of historical speeds for the route.

6. The method of claim 1 , further comprising, using the one or more processors, determining a probable optimal speed for a route, configured to reduce an amount of power consumed by the vehicle, wherein the probable optimal speed is derived using one of an average, a median, and a weighted average of a plurality of historical speeds associated with the route.

7. The method of claim 1 , further comprising, using the one or more processors, determining an energy efficient speed, configured to reduce an amount of power consumed by the vehicle, by minimizing power required by the vehicle while allowing a speed of the vehicle to vary within a range of predetermined acceptable speeds.

8. The method of claim 1 , further comprising, using the one or more processors, determining an energy efficient speed, configured to reduce an amount of power consumed by the vehicle, by determining a speed closest to a desired speed at which the amount of power consumed by the vehicle is lowest.

9. The method of claim 1 , further comprising, using the one or more processors, determining a plurality of probable optimal speeds, including at least one probable optimal speed for each of a plurality of segments of a route, the plurality of probable optimal speeds configured to reduce an amount of power consumed by the vehicle while traveling the route.

10. A vehicle, comprising:
a power train;
a sensor interface configured to receive sensor data samples during operation of said vehicle;
a storage device configured to store said sensor data samples for multiple points in time along a route segment traveled by said vehicle; and
one or more processors configured to (i) analyze said sensor data samples stored in said storage device to detect a historical pattern of said vehicle and (ii) determine time efficient operational parameters for said vehicle in response to (a) a destination and (b) an estimated travel time to said destination, wherein (i) said estimated travel time is based on predicted conditions of said vehicle indicated by said historical pattern, (ii) said time efficient operational parameters are selected to decrease said estimated travel time and (iii) at least one of said sensor data samples comprises telemetry data.

11. The vehicle of claim 10 , wherein said destination is determined based on said historical pattern.

12. The method of claim 10 , wherein said historical pattern comprises at least one of an identity of a driver, a route and environmental conditions.

13. The method of claim 10 , wherein said time efficient operational parameters comprise a sequence of route segments to reach said destination, an amount of power consumed by said vehicle and a travel speed.

14. The method of claim 10 , wherein the vehicle is further configured to communicate with a remote database and said remote database is configured to store historical route information for a plurality of route segments corresponding to said telemetry data.

15. The method of claim 14 , wherein said historical pattern further comprises said historical route information for said plurality of route segments.

16. The method of claim 14 , wherein said historical route information comprises previously stored conditions associated with each of said plurality of route segments.

17. The method of claim 10 , wherein said predicted conditions comprise at least one of: drag, wind resistance, tire resistance, an amount of light energy, a position of the sun, an elevation of said vehicle, a location of stoplights, a timing of stoplights, weather, a wind direction, a wind velocity, a temperature, air pressure, moisture, visibility, an amount of vibration, a fuel supply, a battery supply, a condition of tires of said vehicle, a condition of a motor of said vehicle, a condition of a powertrain of said vehicle, and traction.

18. The method of claim 10 , wherein the vehicle is further configured to communicate said time efficient operational parameters to a remote database and said remote database is configured to provide guidance information to a fleet of vehicles.

19. A system for optimizing travel time of a vehicle, comprising:
a sensor interface configured to receive sensor data samples during operation of a vehicle;
a storage device communicatively coupled with the sensor interface and configured to store said sensor data samples for multiple points in time along a route segment traveled by said vehicle; and
one or more processors communicatively coupled with the storage device and configured to (i) analyze said sensor data samples stored in said storage device to detect a historical pattern of said vehicle and (ii) determine time efficient operational parameters for said vehicle in response to (a) a destination and (b) an estimated travel time to said destination, wherein (i) said estimated travel time is based on predicted conditions of said vehicle indicated by said historical pattern, (ii) said time efficient operational parameters are selected to decrease said estimated travel time and (iii) at least one of said sensor data samples comprises telemetry data.

20. The system of claim 19 , wherein the time efficient operational parameters are based on historical data related to sensed energy consumption of the vehicle while traveling on a route multiple times.

Assignees

• Invently Automotive Inc

Inventors

• Koebler Martin
• Harper Jason H
• Brown Stephen J
• Goldstein Nicole G

Classifications

• B60K35/60

  Instruments characterised by their location or relative disposition in or on vehicles (arrangements of lighting devices on dashboards B60Q3/10) · CPC title

• B60K35/29

  Instruments characterised by the way in which information is handled, e.g. showing information on plural displays or prioritising information according to driving conditions · CPC title

• B60K35/80

  Arrangements for controlling instruments · CPC title

• B60K35/22

  Display screens · CPC title

• B60K35/10

  Input arrangements, i.e. from user to vehicle, associated with vehicle functions or specially adapted therefor · CPC title