CONTROLLER AND METHOD OF CONTROL OF A HYBRID ELECTRIC VEHICLE

• US 20130332015A1
• Filed: 09/05/2011
• Published: 12/12/2013
• Est. Priority Date: 09/04/2010
• Status: Active Grant

• Current Assignee: Jaguar Land Rover Limited (TATA Motors Limited)
• Original Assignee: Jaguar Land Rover Limited (TATA Motors Limited)
• Inventors: Dextreit, Clement
• Granted Patent: US 9,205,831 B2
• Time in Patent Office: Days
• US Class Current: 701/22
• CPC Class Codes: B60K 6/442 Series-parallel switching type
• CPC Class Codes: B60K 6/448 Electrical distribution type
• CPC Class Codes: B60K 6/48 Parallel type
• CPC Class Codes: B60K 6/52 Driving a plurality of drive axles, e.g. four-wheel drive
• CPC Class Codes: B60L 2240/441 Speed
• CPC Class Codes: B60L 2240/445 Temperature
• CPC Class Codes: B60L 2240/486 Operating parameters
• 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 20/10 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 20/20 Control strategies involving selection of hybrid configuration, e.g. selection between series or parallel configuration
• CPC Class Codes: B60W 2510/0638 Engine speed
• CPC Class Codes: B60W 2510/0676 Engine temperature
• CPC Class Codes: B60W 2510/1005 Transmission ratio engaged
• CPC Class Codes: B60W 2510/244 Charge state
• CPC Class Codes: B60W 2556/00 Input parameters relating to data
• CPC Class Codes: B60W 30/182 Selecting between different operative modes, e.g. comfort and performance modes
• CPC Class Codes: B60W 30/188 Controlling power parameters of the driveline, e.g. determining the required power
• 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

An illustrative controller for a hybrid electric vehicle has a plurality of actuators each operable independently to provide torque to a driveline of the vehicle. At least one of the actuators is arranged to consume a fuel and at least one other comprises an electric machine. The controller is operable to control the plurality of actuators to apply respective amounts of torque to a driveline of the vehicle according to one of three or more operational modes of the vehicle. The respective amounts of torque are based on a value of each of a first set of two or more operating parameters. The controller is arranged to select two or more of the operational modes based on the first set of operating parameters and a value of a cost functional. A first of the selected modes is the mode having the lowest cost functional according to a control optimisation methodology.

Claims

1. A controller for a hybrid electric vehicle having a plurality of actuators, at least one of the actuators being arranged to consume a fuel and at least one of the actuators comprising an electric machine operable to be powered by energy storage means;

the controller being operable to control the plurality of actuators to apply respective amounts of torque to a driveline of the vehicle according to one of a plurality of operational modes of the vehicle in dependence on a value of a first set of two or more operating parameters of the vehicle,

the controller being arranged to select two or more of the operational modes in dependence on the first set of operating parameters, the modes being selected in dependence on a value of a cost functional, a first of the selected modes being the mode having the lowest cost functional according to a control optimisation methodology implemented by the controller;

wherein the controller is arranged to control the vehicle to assume the first of the selected modes and in the event the first selected mode is unavailable the controller is arranged to control the vehicle to assume another of the selected modes.

2. A controller as claimed in claim 1 wherein each operational mode corresponds to a different respective torque split between the plurality of actuators, the torque split representing the proportion of the total torque that is to be applied by each actuator.

3. A controller as claimed in claim 1 wherein at least one of the operational modes is a mode in which the at least one fuel burning actuator drives an electric machine to generate charge to charge the energy storage means.

4. A controller as claimed in claim 1 wherein if the first mode is a mode in which the at least one fuel burning actuator is employed, at least one of the selected modes includes the mode in which the at least one fuel burning actuator.

5. A controller as claimed in claim 1 wherein if the first mode is a mode in which the at least one fuel burning actuator is not employed, at least one of the selected modes includes the mode having the lowest cost functional in which the at least one fuel burning actuator is employed.

6. A controller as claimed in claim 1, wherein the controller is arranged to determine the torque split by reference to one or more stored torque split data maps.

7. A controller as claimed in claim 6 wherein the data maps are data maps generated offline according to the control optimisation methodology.

8. A controller as claimed in claim 1 wherein the cost functional is responsive to at least one selected from amongst a rate of fuel consumption of the vehicle, a rate of emission of a gas by the vehicle, an amount of noise generated by the vehicle, a deviation of a state parameter from a prescribed value and a rate of emission of one or more types of particulate material.

9. A controller as claimed in claim 8 wherein the cost functional is responsive to a rate of fuel consumption of the vehicle, a rate of emission of a gas by the vehicle and a deviation of a state parameter from a prescribed value, the controller being operable to determine a required operational mode according to a feedback Stackelberg equilibrium control optimisation methodology.

10. A controller as claimed in claim 8 wherein the state parameter corresponds to a value of a state of charge of the energy storage means.

11. A controller as claimed in claim 6 wherein the controller is arranged to discretise values of the first set of two or more operating parameters to values corresponding to those of data stored in the one or more data maps.

12. A controller as claimed in claim 1, wherein the controller is arranged to determine the required operational mode of the vehicle from the selected two or more modes responsive to non-discretised values of one or more of the first set of two or more operating parameters.

13. A controller as claimed in claim 1 wherein the controller is arranged to determine the required operational mode from the selected two or more modes and to output the required mode to a torque demand module, the torque demand module being arranged to determine a value of torque to be demanded from each of the plurality of actuators based on the required operational mode, a value of one or more of the first set of two or more operating parameters and data in respect of one or more system state parameters of the vehicle, the torque demand module being configured to demand a required amount of torque from the actuators responsive to the values of the one or more system state parameters.

14. A controller as claimed in claim 1 wherein one of the at least one fuel consuming actuators comprises an internal combustion engine.

15. A controller as claimed in claim 1 wherein one of the actuators comprises an electric motor operable to apply a positive torque to the driveline.

16. A controller as claimed in claim 1 wherein one of the actuators comprises an electric generator operable to apply a negative torque to the driveline.

17. A controller as claimed in claim 1 wherein the actuator comprising an electric machine comprises an electric machine operable to apply either a positive or a negative torque to the driveline as required.

18. A controller as claimed in claim 1 wherein the first set of two more operating parameters include at least one selected from amongst a speed of rotation of a portion of the driveline, a torque present at a portion of the driveline being a value of torque demanded by a driver of the vehicle at that portion, a battery state of charge, an engine temperature, an engine coolant temperature, an exhaust gas temperature, a state of a gearbox of the vehicle being a gear ratio of the gearbox.

19. A controller as claimed in claim 1 wherein the first set of two more operating parameters comprises a driveline torque, a driveline speed and a state of charge of the energy storage means.

20. A controller as claimed in claim 19 wherein the first set of two more operating parameters further comprises a temperature of the at least one fuel burning actuator.

21. A controller as claimed in claim 19 wherein the first set of two or more operating parameters further comprises a state of a gearbox of the vehicle being a gear ratio of the gearbox.

22. A hybrid electric vehicle comprising a controller as claimed in claim 1.

23. A method of controlling a hybrid electric vehicle having a plurality of actuators each operable to provide torque to a driveline of the vehicle, at least one of the actuators being arranged to consume a fuel and at least one of the actuators comprising an electric machine operable to be powered by energy storage means, the method comprising:

receiving at a controller a value of each of a first set of two or more operating parameters of the vehicle;

selecting two or more operational modes of the vehicle from a set of three of more operational modes responsive to the first set of operating parameters, each mode corresponding to a prescribed configuration of respective amounts of torque applied to the driveline by the plurality of actuators;

selecting the two or more modes responsive to a value of a cost functional, a first of the selected modes being the mode having the lowest cost functional according to a control optimisation methodology implemented by the controller;

controlling the vehicle to assume the first of the selected modes; and

in the event the first selected mode is unavailable, controlling the vehicle to assume another of the two or more selected modes.

24. A method as claimed in claim 23 wherein if the first mode is a mode in which the at least one fuel burning actuator is employed, the step of selecting two or more modes comprises selecting the mode in which the at least one fuel burning actuator is not employed that has the lowest cost functional.

25. A method as claimed in claim 23 wherein if the first mode is a mode in which the at least one fuel burning actuator is not employed, the step of selecting two or more modes comprises selecting the mode having the lowest cost functional in which the at least one fuel burning actuator is employed.

26. A method as claimed in claim 23 wherein the step of selecting the two or more modes responsive to the value of the cost functional comprises the step of accessing a database in which the two or more modes corresponding to respective combinations of values of each of the first set of operating parameters are stored.

27. A method as claimed in claim 26 wherein the step of accessing the database comprises inputting to the database the value of each of the first set of operating parameters.

28. A method as claimed in claim 26 comprising the step of generating the identity of the selected two or more modes for each respective combination of values of each of the first set of operating parameters offline according to the control optimisation methodology.

29. A method as claimed in claim 26 comprising the step of discretising values of the first set of two or more operating parameters to values corresponding to coordinates of data stored in the database.

30. A method as claimed in claim 23 wherein the cost functional is responsive to at least one selected from amongst a rate of fuel consumption of the vehicle, a rate of emission of a gas by the vehicle, an amount of noise generated by the vehicle and a deviation of a value of a state parameter from a prescribed value.

31. A method as claimed in claim 30 wherein the cost functional is responsive to the deviation of the value of the state parameter from a prescribed value, the state parameter corresponding to a state of charge of the energy storage means.

32. A method as claimed in claim 23 wherein the cost functional is responsive to a rate of fuel consumption of the vehicle, a rate of emission of a gas by the vehicle and a deviation of a state of charge of the energy storage means from a prescribed value, the method comprising determining a required operational mode of the vehicle according to a feedback Stackelberg equilibrium control optimisation methodology.

33. (canceled)