ENGINE-ON TIME PREDICTOR FOR AFTERTREATMENT SCHEDULING FOR A VEHICLE

• US 20140081563A1
• Filed: 09/14/2012
• Published: 03/20/2014
• Est. Priority Date: 09/14/2012
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Wang, Qing, Yu, Hai, McGee, Ryan Abraham, Tseng, Fling
• Granted Patent: US 9,371,766 B2
• Time in Patent Office: Days
• US Class Current: 701/113
• 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 20/16 for reducing engine exhaust emissions
• 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 50/0097 Predicting future conditions
• CPC Class Codes: B60Y 2300/476 Regeneration of particle filters
• CPC Class Codes: B60Y 2400/432 Diesel Engines
• CPC Class Codes: F01N 2590/11 for hybrid vehicles
• CPC Class Codes: F01N 2900/0402 using adaptive learning
• CPC Class Codes: F01N 2900/08 said parameters being related to the engine
• CPC Class Codes: F01N 9/00 Electrical control of exhaust gas treating apparatus monitoring or diagnostic devices for exhaust-gas treatment apparatus F01N11/00; conjoint electrical control of two or more combustion engine functions F02D43/00
• CPC Class Codes: F01N 9/007 Storing data relevant to operation of exhaust systems for later retrieval and analysis, e.g. to research exhaust system malfunctions
• CPC Class Codes: F02D 2041/1412 using a predictive controller
• CPC Class Codes: F02D 2200/702 Road conditions
• CPC Class Codes: F02D 41/021 Introducing corrections for particular conditions exterior to the engine conjoint control of vehicle sub-units for propelling the vehicle B60W30/18
• CPC Class Codes: F02D 41/029 the exhaust gas treating apparatus being a particulate filter
• CPC Class Codes: F02N 11/0829 related to special engine control, e.g. giving priority to engine warming-up or learning
• CPC Class Codes: Y02T 10/40 Engine management systems
• CPC Class Codes: Y02T 10/84 Data processing systems or methods, management, administration

Abstract

A method to control a hybrid electric vehicle (HEV) having a compression ignition engine includes operating the engine based on an engine-on request and performing an exhaust aftertreatment procedure based on a completion time for the aftertreatment procedure compared to a predicted engine-on time determined using a driving pattern. An HEV is provided with a compression ignition engine with an aftertreatment system, and a controller. The controller is configured to: (i) operate the engine based on an engine-on request, and (ii) perform an exhaust aftertreatment procedure for the vehicle based on a completion time for the aftertreatment procedure compared to a predicted engine-on time determined using a driving pattern. A computer readable medium having stored data representing instructions executable by a controller to control a vehicle is provided with instructions for operating the engine based on an engine-on request, and instructions for performing an exhaust aftertreatment procedure.

Claims

1. A method to control a hybrid electric vehicle having a compression ignition engine, the method comprising:

operating a compression ignition engine based on an engine-on request; and

performing an exhaust aftertreatment procedure based on a completion time for the aftertreatment procedure compared to a predicted engine-on time determined using a driving pattern.

2. The method of claim 1 wherein the engine-on time is determined using an associated engine-on time percentage for the driving pattern.

3. The method of claim 2 further comprising using a database to reference the driving pattern and a corresponding engine-on time percentage, the database containing a plurality of possible driving patterns for an operating state of the vehicle.

4. The method of claim 2 further comprising adjusting the engine-on time percentage using a scaling factor if a predetermined ambient condition exists.

5. The method of claim 1 further comprising detecting the driving pattern for the vehicle, wherein the driving pattern represents the predicted operation of the vehicle during the completion time.

6. The method of claim 5 further comprising assigning the driving pattern to a predicted path for the vehicle during the completion time.

7. The method of claim 6 wherein the predicted path and the driving pattern are based on future route information.

8. The method of claim 7 further comprising providing the future route information from a navigation system.

9. The method of claim 7 further comprising providing the future route information from a traffic system.

10. The method of claim 5 wherein detecting the driving pattern includes determining a driving style for the vehicle.

11. The method of claim 10 wherein the driving style is based on historical vehicle usage.

12. The method of claim 1 further comprising determining the driving pattern using a driving pattern identification method.

13. The method of claim 12 wherein the driving pattern identification method uses a predicted trip condition.

14. The method of claim 1 wherein the engine is a diesel engine.

15. A vehicle comprising:

a compression ignition engine having an exhaust aftertreatment system; and

a controller electronically coupled to the engine wherein the controller is configured to;

(i) operate the engine based on an engine-on request, and (ii) perform an exhaust aftertreatment procedure for the vehicle based on a completion time for the aftertreatment procedure compared to a predicted engine-on time determined using a driving pattern.

16. The vehicle of claim 15 wherein the controller is configured to use a database to reference the driving pattern and a corresponding engine-on time percentage, the database containing a plurality of possible driving patterns for an operating state of the vehicle, wherein the controller determines the engine-on time using the associated engine-on time percentage for the driving pattern.

17. The vehicle of claim 15 wherein the controller s configured to determining the driving pattern using a driving pattern identification method and a predicted trip condition.

18. The vehicle of claim 15 further comprising an electric machine coupled to a traction battery.

19. The vehicle of claim 18 wherein the engine is coupled to the electric machine using an upstream clutch, and the electric machine is coupled to a transmission using a downstream clutch;

and

wherein the engine, the electric machine, and the transmission are arranged sequentially.

20. A computer readable medium having stored data representing instructions executable by a controller to control a vehicle, comprising:

instructions for operating the engine based on an engine-on request; and

instructions for performing an exhaust aftertreatment procedure for the vehicle based on a completion time for the aftertreatment procedure compared to a predicted engine-on time determined using a driving pattern.