Systems and methods for preemptively modifying vehicle parameters according to predicted accelerations when merging

• US 10,202,112 B2
• Filed: 02/13/2017
• Issued: 02/12/2019
• Est. Priority Date: 11/28/2016
• 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: Gaither, Geoffrey David
• Primary Examiner(s): Edwards, Jerrah
• Assistant Examiner(s): Gordon, Mathew Franklin
• Application Number:
  US15/430,812
• Publication Number:
  US 20180148036A1
• Time in Patent Office: 729 Days
• 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 20/19 for achieving enhanced acceleration
• CPC Class Codes: B60W 2050/0075 Automatic parameter input, automatic initialising or calibrating means
• CPC Class Codes: B60W 2420/403 Image sensing, e.g. optical camera
• CPC Class Codes: B60W 2420/408 Radar; Laser, e.g. lidar
• CPC Class Codes: B60W 2520/04 Vehicle stop
• CPC Class Codes: B60W 2540/10 Accelerator pedal position
• CPC Class Codes: B60W 2552/00 Input parameters relating to infrastructure
• CPC Class Codes: B60W 2552/05 Type of road, e.g. motorways, local streets, paved or unpaved roads
• CPC Class Codes: B60W 2552/10 Number of lanes
• CPC Class Codes: B60W 2552/15 Road slope, i.e. the inclination of a road segment in the longitudinal direction
• CPC Class Codes: B60W 2552/30 Road curve radius
• CPC Class Codes: B60W 2552/53 Road markings, e.g. lane marker or crosswalk
• CPC Class Codes: B60W 2554/20 Static objects
• CPC Class Codes: B60W 2554/4026 Cycles
• CPC Class Codes: B60W 2554/4029 Pedestrians
• CPC Class Codes: B60W 2554/4042 Longitudinal speed
• CPC Class Codes: B60W 2554/60 Traversable objects, e.g. speed bumps or curbs
• 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 2556/10 : Historical data
• CPC Class Codes: B60W 2556/50 : of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 2710/0644 : Engine speed
• CPC Class Codes: B60W 2710/0666 : Engine torque
• CPC Class Codes: B60W 2710/0672 : Torque change rate
• CPC Class Codes: B60W 2720/106 : Longitudinal acceleration
• CPC Class Codes: B60W 30/18027 : Drive off, accelerating from standstill
• CPC Class Codes: B60W 30/18154 : Approaching an intersection
• CPC Class Codes: B60W 30/18163 : Lane change; Overtaking manoeuvres
• CPC Class Codes: B60W 30/188 : Controlling power parameters of the driveline, e.g. determining the required power
• CPC Class Codes: B60W 30/1882 : characterised by the working point of the engine, e.g. by using engine output chart
• CPC Class Codes: B60W 50/0097 : Predicting future conditions
• CPC Class Codes: B60W 60/0023 : in response to energy consumption
• CPC Class Codes: G05D 1/0223 : involving speed control of the vehicle vehicle fittings for automatically controlling, i.e. preventing speed from exceeding an arbitrarily established velocity or maintaining speed at a particular velocity, as selected by the vehicle operator B60K31/00
• CPC Class Codes: Y02T 10/40 : Engine management systems
• CPC Class Codes: Y02T 10/62 : Hybrid vehicles
• CPC Class Codes: Y02T 10/84 : Data processing systems or methods, management, administration
• CPC Class Codes: Y10S 903/93 : Conjoint control of different elements

Abstract

System, methods, and other embodiments described herein relate to preemptively modifying operation of a vehicle according to predicted acceleration inputs. In one embodiment, a method includes, in response to identifying that an environmental context of the vehicle indicates that the vehicle is located at a traffic stop and that a roadway on which the vehicle is traveling includes merging lanes beyond the traffic stop, determining an acceleration profile for the vehicle that indicates a predicted acceleration that is anticipated to be provided by a driver as a function of the environmental context when approaching the merging lanes. The method includes adjusting the operating parameters of the vehicle according to the acceleration profile to preemptively optimize the vehicle in anticipation of an acceleration input from the driver. The method includes controlling the vehicle to accelerate based, at least in part, on the operating parameters upon receiving the acceleration input.

Claims

1. A predictive acceleration system of a vehicle, comprising:

one or more processors;

a memory communicably coupled to the one or more processors and storing;

a context module including instructions that when executed by the one or more processors cause the one or more processors to, in response to identifying that an environmental context of the vehicle indicates that the vehicle is located at a traffic stop and that a roadway on which the vehicle is traveling includes merging lanes beyond the traffic stop, determine an acceleration profile for the vehicle that indicates a predicted acceleration that is anticipated to be provided by a driver as a function of the environmental context when approaching the merging lanes,

wherein the context module includes instructions to determine the acceleration profile including instructions to parameterize the environmental context as an electronic input to a lookup table that stores a plurality of acceleration profiles, wherien the plurality of acceleration profiles each correlate with separate environmental contexts and expected accerelation inputs from the driver for the separate environmental contexts as generated according to a model of learned accelerator inputs that is based, at least in part, on a history of past occurrences of the vehicle traveling in prior contexts similar to the environmental context; and

a control module including instructions that when executed by the one or more processors cause the one or more processors to adjust operating parameters of the vehicle according to the acceleration profile to preemptively optimize the vehicle in anticipation of an acceleration input from the driver that correlates with the acceleration profile by altering operation of a powertrain of the vehicle to improve operation of the vehicle for anticipated changes in speed, and

wherein the control module includes instructions to control the vehicle to accelerate based, at least in part, on the operating parameters upon receiving the acceleration input.

2. The predictive acceleration system of claim 1, wherein the context module includes instructions to identify the vehicle is located at the traffic stop and that the roadway on which the vehicle is traveling includes the merging lanes beyond the traffic stop including instructions to analyze a predicted route of the vehicle in relation to a present location to identify the traffic stop and that a merge is along the predicted route within a defined distance of the traffic stop, and

wherein the context module includes instructions to generate the predicted route according to historic driving patterns of the vehicle that correlate with a current day and a current time.

3. The predictive acceleration system of claim 1, wherein the context module includes instruction to collect data from one or more sensors of the vehicle to identify the environmental context including at least a predicted route of the vehicle, a current location of the vehicle, and additional environmental elements that influence adjusting the operating parameters, and wherein the one or more sensors include at least a global position system (GPS) sensor.

4. The predictive acceleration system of claim 1,

wherein the acceleration profile indicates a likely degree of acceleration and a likely duration of acceleration that is predicted to be provided by the driver for the environmental context.

5. The predictive acceleration system of claim 1, wherein the context module includes instructions to select the operating parameters to adjust according to the acceleration profile by selecting parameters according to whether the acceleration profile indicates an efficient acceleration or a performance oriented acceleration.

6. The predictive acceleration system of claim 1, wherein the control module includes instructions to adjust the operating parameters to control the vehicle to modify operation of at least one vehicle system prior to receiving the acceleration input and to preemptively control the vehicle to operate in a way that prepares the vehicle for the acceleration input, and

wherein the traffic stop includes a traffic signal or a traffic sign at an intersection of roadways, and wherein the environmental context includes a speed limit of the roadway, a current date, and a current time of day.

7. The predictive acceleration system of claim 1, wherein the operating parameters include parameters to ramp-up an output of a powertrain of the vehicle, and to limit an amount of throttle produced from the accelerator input, and wherein the control module includes instructions to control the vehicle according to the operating parameters upon receiving the acceleration input including instructions to accelerate the vehicle using the optimized operating parameters to improve operation of the vehicle.

8. The predictive acceleration system of claim 1, wherein the vehicle is a hybrid electric vehicle, and wherein the control module alters operation of the powertrain by activating an electric motor of the vehicle to increase rotations per minute (RPM) of a combustion engine without firing the combustion engine.

9. A non-transitory computer-readable medium storing instructions that when executed by one or more processors cause the one or more processors to:

in response to identifying that an environmental context of a vehicle indicates that the vehicle is located at a traffic stop and that a roadway on which the vehicle is traveling includes merging lanes beyond the traffic stop, determine an acceleration profile for the vehicle that indicates a predicted acceleration that is anticipated to be provided by a driver as a function of the environmental context when approaching the merging lanes,

wherein the instructions to determine the acceleration profile include instructions to parameterize the environmental context as an electronic input to a lookup table that stores a plurality of acceleration profiles, wherien the plurality of acceleration profiles each correlate with separate environmental contexts and expected accerelation inputs from the driver for the separate environmental contexts as generated according to a model of learned accelerator inputs that is based, at least in part, on a history of past occurrences of the vehicle traveling in prior contexts similar to the environmental context; and

adjust operating parameters of the vehicle according to the acceleration profile to preemptively optimize the vehicle in anticipation of an acceleration input from the driver that correlates with the acceleration profile by altering operation of a powertrain of the vehicle to improve operation of the vehicle for anticipated changes in speed, and

control the vehicle to accelerate based, at least in part, on the operating parameters upon receiving the acceleration input.

10. The non-transitory computer-readable medium of claim 9, wherein the instructions to identify the vehicle is located at the traffic stop and that the roadway on which the vehicle is traveling includes the merging lanes beyond the traffic stop include instructions to analyze a predicted route of the vehicle in relation to a present location to identify the traffic stop and that a merge is along the predicted route within a defined distance of the traffic stop, and

wherein the instructions to identify include instructions to generate the predicted route according to historic driving patterns of the vehicle that correlate with a current day and a current time.

11. The non-transitory computer-readable medium of claim 9, further comprising:

instructions to collect data from one or more sensors of the vehicle to identify the environmental context including at least a predicted route of the vehicle, a current location of the vehicle, and additional environmental elements that influence adjusting the operating parameters, and wherein the one or more sensors include at least a global position system (GPS) sensor.

12. The non-transitory computer-readable medium of claim 9,

wherein the acceleration profile indicates a likely degree of acceleration and a likely duration of acceleration that is predicted to be provided by the driver for the environmental context.

13. The non-transitory computer-readable medium of claim 9, wherein the instructions to adjust the operating parameters include instructions to control the vehicle to modify operation of at least one vehicle system prior to receiving the acceleration input and to preemptively control the vehicle to operate in a way that prepares the vehicle for the acceleration input, and

wherein the traffic stop includes a traffic signal or a traffic sign at an intersection of roadways, and wherein the environmental context includes a speed limit of the roadway, a current date, and a current time of day.

14. A method of preemptively adjusting operating parameters of a vehicle, comprising:

in response to identifying that an environmental context of the vehicle indicates that the vehicle is located at a traffic stop and that a roadway on which the vehicle is traveling includes merging lanes beyond the traffic stop, determining an acceleration profile for the vehicle that indicates a predicted acceleration that is anticipated to be provided by a driver as a function of the environmental context when approaching the merging lanes,

wherein determining the acceleration profile includes parameterizing the environmental context as an electronic input to a lookup table that stores a plurality of acceleration profiles, wherien the plurality of acceleration profiles each correlate with separate environmental contexts and expected accerelation inputs from the driver for the separate environmental contexts as generated according to a model of learned accelerator inputs that is based, at least in part, on a history of past occurrences of the vehicle traveling in prior contexts similar to the environmental context;

adjusting the operating parameters of the vehicle according to the acceleration profile to preemptively optimize the vehicle in anticipation of an acceleration input from the driver that correlates with the acceleration profile by altering operation of a powertrain of the vehicle to improve operation of the vehicle for anticipated changes in speed; and

controlling the vehicle to accelerate based, at least in part, on the operating parameters upon receiving the acceleration input.

15. The method of claim 14, wherein identifying the vehicle is located at the traffic stop and that the roadway on which the vehicle is traveling includes the merging lanes beyond the traffic stop includes analyzing a predicted route of the vehicle in relation to a present location to identify the traffic stop and that a merge is along the predicted route within a defined distance of the traffic stop, and

wherein the identifying includes generating the predicted route according to historic driving patterns of the vehicle that correlate with a current day and a current time.

16. The method of claim 14, further comprising:

collecting data from one or more sensors of the vehicle to identify the environmental context including at least a predicted route of the vehicle, a current location of the vehicle, and additional environmental elements that influence adjusting the operating parameters, wherein the one or more sensors include at least a global position system (GPS) sensor.

17. The method of claim 14,

wherein the acceleration profile indicates a likely degree of acceleration and a likely duration of acceleration that is predicted to be provided by the driver for the environmental context.

18. The method of claim 14, further comprising:

selecting the operating parameters to adjust according to the acceleration profile, wherein selecting the operating parameters includes selecting parameters according to whether the acceleration profile indicates an efficient acceleration or a performance oriented acceleration.

19. The method of claim 14, wherein adjusting the operating parameters controls the vehicle to modify operation of at least one vehicle system prior to receiving the acceleration input and to preemptively control the vehicle to operate in a way that prepares the vehicle for the acceleration input, and

wherein the traffic stop includes a traffic signal or a traffic sign at an intersection of roadways, and wherein the environmental context includes a speed limit of the roadway, a current date, and a current time of day.

20. The method of claim 14, wherein the operating parameters include parameters to ramp-up an output of a powertrain of the vehicle, and to limit an amount of throttle produced from the accelerator input, and wherein controlling the vehicle according to the operating parameters upon receiving the acceleration input includes accelerating the vehicle using the optimized operating parameters to improve operation of the vehicle.