MOTOR ASSISTANCE FOR A HYBRID VEHICLE BASED ON PREDICTED DRIVING RANGE

• US 20110087390A1
• Filed: 09/14/2010
• Published: 04/14/2011
• Est. Priority Date: 09/15/2009
• Status: Active Grant

• Current Assignee: KPIT Technologies Ltd.
• Original Assignee: KPIT Cummins Infosystems Limited
• Inventors: Vaidya, Vinay G., Kshatriya, Tejas Krishna, Pandit, S.B. (Ravi)
• Granted Patent: US 9,227,626 B2
• Time in Patent Office: Days
• US Class Current: 701/22
• CPC Class Codes: B60K 1/00 Arrangement or mounting of electrical propulsion units B60K7/00 takes precedence; arrangement or mounting of plural diverse prime-movers for mutual or common propulsion B60K6/00; electric transmission arrangements B60K17/12; electric equipment or propulsion of electrically-propelled vehicles per se B60L; current-collectors for power supply lines of electrically-propelled vehicles B60L5/00
• CPC Class Codes: B60K 6/485 Motor-assist type
• 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 20/10 Controlling the power contribution of each of the prime movers to meet required power demand
• CPC Class Codes: B60W 20/11 using model predictive control [MPC] strategies, i.e. control methods based on models predicting performance utilising navigation and traffic information in the control strategy B60W20/12
• 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 20/14 in conjunction with braking regeneration
• CPC Class Codes: B60W 20/40 Controlling the engagement or disengagement of prime movers, e.g. for transition between prime movers power-up or power-down of the driveline B60W30/192
• CPC Class Codes: B60W 2050/0075 Automatic parameter input, automatic initialising or calibrating means
• CPC Class Codes: B60W 2510/244 Charge state
• CPC Class Codes: B60W 2540/10 Accelerator pedal position
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 2710/06 Combustion engines, Gas turbines
• CPC Class Codes: B60W 2710/08 Electric propulsion units
• CPC Class Codes: B60W 50/0097 Predicting future conditions
• CPC Class Codes: F02N 11/04 the motors being associated with current generators
• CPC Class Codes: Y02T 10/62 Hybrid vehicles
• CPC Class Codes: Y02T 10/72 Electric energy management in electromobility
• CPC Class Codes: Y02T 10/84 : Data processing systems or methods, management, administration
• CPC Class Codes: Y10S 903/903 : having energy storing means, e.g. battery, capacitor

Abstract

A method of providing assistance to an internal combustion engine for a vehicle using an electric motor coupled to the engine is provided. The method comprises predicting a driving range based on historical driving range data. The historical driving range data includes one or more distances that the vehicle was driven during one or more previous driving cycles. The method further comprises selectively operating the motor to provide assistance to the engine at predetermined operating conditions of the engine. The assistance provided to the engine at one or more of the predetermined operating conditions is determined based at least in part on the predicted driving range.

Claims

1. A method of providing assistance to an internal combustion engine for a vehicle using an electric motor coupled to the engine, the method comprising:

predicting a driving range based on historical driving range data, wherein the historical driving range data includes one or more distances that the vehicle was driven during one or more previous driving cycles; and

selectively operating the motor to provide assistance to the engine at predetermined operating conditions of the engine, wherein the assistance provided to the engine at one or more of the predetermined operating conditions is determined based at least in part on the predicted driving range.

2. The method of claim 1, wherein predicting the driving range based on historical driving range data comprises:

identifying at least two historical driving ranges in the historical driving range data that fall within a predetermined tolerance of one another;

identifying a trend relating to when the historical driving ranges occurred; and

predicting the driving range based on the at least two historical driving ranges that fall within the predetermined tolerance of one another when a present day falls within the trend.

3. The method of claim 1, wherein the driving range is predicted based on an average of historical driving range data for two or more previous driving cycles.

4. The method of claim 1, wherein the assistance provided to the engine is determined based at least in part on a frequency with which the vehicle is operated at one or more operating conditions, wherein the frequency is determined based on historical data for the vehicle.

5. The method of claim 1, wherein the assistance provided to the engine at one or more of the predetermined operating conditions is determined based at least in part on an available energy level of an energy storage device configured to provide power to the electric motor, wherein the available energy level is based on the difference between a starting energy level and a minimum energy level, wherein the minimum energy level is higher than a lowest possible energy level for the energy storage device such that the available energy level is less than a total energy that may be stored in the energy storage device.

6. The method of claim 5, wherein the assistance provided to the engine at one or more of the predetermined operating conditions is determined based at least in part on an amount of energy expected to be regenerated over the driving range, wherein the amount of energy expected to be regenerated is predicted based on an amount of energy regenerated during one or more previous driving cycles.

7. The method of claim 5, further comprising:

monitoring a present energy level of the energy storage device, wherein the assistance provided to the engine at one or more of the predetermined operating conditions is varied based on the present energy level.

8. The method of claim 1, wherein selectively operating the motor comprises generating one or more control signals configured to control operation of the electric motor based on one of a plurality of motor assistance profiles, wherein the motor assistance profile is selected from the plurality of motor assistance profiles based on the predicted driving range.

9. The method of claim 1, further comprising determining acceleration data for the vehicle based on input received from one or more sensors, wherein the one or more control signals are configured to control the electric motor to provide at least one pulse of assistance at one or more times when the acceleration data indicates a demand for acceleration by operating the electric motor at a current above a continuous current rating of the electric motor.

10. The method of claim 1, wherein the electric motor is coupled to a crankshaft of the engine, wherein the electric motor is coupled to the crankshaft at a first side of the engine and a transmission is coupled to the crankshaft at a second side of the engine opposite the first side.

11. A motor controller comprising:

one or more processors configured to execute instructions stored on one or more computer-readable media, wherein the instructions are executable by the one or more processors to implement a method comprising;

predicting a driving range based on historical driving range data, wherein the historical driving range data includes one or more distances that a vehicle was driven during one or more previous driving cycles; and

selectively operating an electric motor to provide assistance to an internal combustion engine at predetermined operating conditions of the engine, wherein the assistance provided to the engine at one or more of the predetermined operating conditions is determined based at least in part on the predicted driving range.

12. The motor controller of claim 11, wherein predicting the driving range based on historical driving range data comprises:

identifying at least two historical driving ranges in the historical driving range data that fall within a predetermined tolerance of one another;

identifying a trend relating to when the historical driving ranges occurred; and

predicting the driving range based on the at least two historical driving ranges that fall within the predetermined tolerance of one another when a present day falls within the trend.

13. The motor controller of claim 11, wherein the driving range is predicted based on an average of historical driving range data for two or more previous driving cycles.

14. The motor controller of claim 11, wherein the assistance provided to the engine is determined based at least in part on a frequency with which the vehicle is operated at one or more operating conditions, wherein the frequency is determined based on historical data for the vehicle.

15. The motor controller of claim 11, wherein the assistance provided to the engine at one or more of the predetermined operating conditions is determined based at least in part on an available energy level of an energy storage device configured to provide power to the electric motor, wherein the available energy level is based on the difference between a starting energy level and a minimum energy level, wherein the minimum energy level is higher than a lowest possible energy level for the energy storage device such that the available energy level is less than a total energy that may be stored in the energy storage device.

16. The motor controller of claim 11, wherein the assistance provided to the engine at one or more of the predetermined operating conditions is determined based at least in part on an amount of energy expected to be regenerated over the driving range, wherein the amount of energy expected to be regenerated is predicted based on an amount of energy regenerated during one or more previous driving cycles.

17. The motor controller of claim 11, wherein the instructions are executable to further cause the one or more processors to monitor a present energy level of the energy storage device, wherein the assistance provided to the engine at one or more of the predetermined operating conditions is varied based on the present energy level.

18. The motor controller of claim 11, wherein selectively operating the motor comprises generating one or more control signals configured to control operation of the electric motor based on one of a plurality of motor assistance profiles, wherein the motor assistance profile is selected from the plurality of motor assistance profiles based on the predicted driving range.

19. The motor controller of claim 11, wherein the instructions are executable to further cause the one or more processors to determine acceleration data for the vehicle based on input received from one or more sensors, wherein the one or more control signals are configured to control the electric motor to provide at least one pulse of assistance at one or more times when the acceleration data indicates a demand for acceleration by operating the electric motor at a current above a continuous current rating of the electric motor.

20. The motor controller of claim 11, wherein the electric motor is coupled to the crankshaft at a first side of the engine and a transmission is coupled to the crankshaft at a second side of the engine opposite the first side.

21. A hybrid drive system for a vehicle comprising:

an electric motor configured to provide assistance to an internal combustion engine to provide motive power for the vehicle; and

a controller configured to control operation of the electric motor, wherein the controller comprises one or more processors configured to execute instructions stored on one or more computer-readable media, wherein the instructions are executable by the one or more processors to implement a method comprising;

predicting a driving range based on historical driving range data, wherein the historical driving range data includes one or more distances that a vehicle was driven during one or more previous driving cycles; and

selectively operating an electric motor to provide assistance to an internal combustion engine at predetermined operating conditions of the engine, wherein the assistance provided to the engine at one or more of the predetermined operating conditions is determined based at least in part on the predicted driving range.

22. The hybrid drive system of claim 21, wherein predicting the driving range based on historical driving range data comprises:

identifying at least two historical driving ranges in the historical driving range data that fall within a predetermined tolerance of one another;

identifying a trend relating to when the historical driving ranges occurred; and

predicting the driving range based on the at least two historical driving ranges that fall within the predetermined tolerance of one another when a present day falls within the trend.

23. The hybrid drive system of claim 21, wherein the driving range is predicted based on an average of historical driving range data for two or more previous driving cycles.

24. The hybrid drive system of claim 21, wherein the assistance provided to the engine is determined based at least in part on a frequency with which the vehicle is operated at one or more operating conditions, wherein the frequency is determined based on historical data for the vehicle.

25. The hybrid drive system of claim 21, wherein the assistance provided to the engine at one or more of the predetermined operating conditions is determined based at least in part on an available energy level of an energy storage device configured to provide power to the electric motor, wherein the available energy level is based on the difference between a starting energy level and a minimum energy level, wherein the minimum energy level is higher than a lowest possible energy level for the energy storage device such that the available energy level is less than a total energy that may be stored in the energy storage device.

26. The hybrid drive system of claim 21, wherein the assistance provided to the engine at one or more of the predetermined operating conditions is determined based at least in part on an amount of energy expected to be regenerated over the driving range, wherein the amount of energy expected to be regenerated is predicted based on an amount of energy regenerated during one or more previous driving cycles.

27. The hybrid drive system of claim 21, wherein the instructions are executable to cause the controller to monitor a present energy level of the energy storage device, wherein the assistance provided to the engine at one or more of the predetermined operating conditions is varied based on the present energy level.

28. The hybrid drive system of claim 21, wherein selectively operating the motor comprises generating one or more control signals configured to control operation of the electric motor based on one of a plurality of motor assistance profiles, wherein the motor assistance profile is selected from the plurality of motor assistance profiles based on the predicted driving range.

29. The hybrid drive system of claim 21, wherein the instructions are executable to cause the controller to determine acceleration data for the vehicle based on input received from one or more sensors, wherein the one or more control signals are configured to control the electric motor to provide at least one pulse of assistance at one or more times when the acceleration data indicates a demand for acceleration by operating the electric motor at a current above a continuous current rating of the electric motor.

30. The hybrid drive system of claim 21, wherein the electric motor is coupled to a crankshaft of the engine at a first side of the engine and a transmission is coupled to the crankshaft at a second side of the engine opposite the first side.