Engine-on time predictor for aftertreatment scheduling for a vehicle

• US 9,371,766 B2
• Filed: 09/14/2012
• Issued: 06/21/2016
• 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
• Primary Examiner(s): MOULIS, THOMAS N
• Application Number:
  US13/616,250
• Publication Number:
  US 20140081563A1
• Time in Patent Office: 1,376 Days
• Field of Search: 60284-287, 60294-295
• US Class Current: 1/1
• 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 comprising:

in response to a compression ignition engine operating based on an engine-on request, performing an exhaust aftertreatment procedure if an overlap percentage is greater than a threshold value, the overlap percentage calculated as a ratio between a predicted engine-on time and a completion time for the procedure, the predicted engine-on time determined using at least one driving pattern during a completion time for the procedure.

2. The method of claim 1 wherein the engine-on time is determined using an associated engine-on time percentage for each driving pattern predicted for the completion time for the procedure and an estimated time for vehicle operation in each driving pattern during the completion time for the procedure.

3. The method of claim 2 further comprising using a database to reference each 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 of each driving pattern predicted for the completion time 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 and a predicted trip condition.

16. The method of claim 1 wherein the threshold value varies as a function of a state of an exhaust aftertreatment device, such that an increasing need for exhaust aftertreatment decreases the threshold value.

17. The method of claim 1 further comprising estimating a completion time for the aftertreatment procedure if beginning the procedure at a present time;

and

assigning an estimated time and a driving pattern from a series of driving patterns to each segment of a route during the completion time, each driving pattern having an associated engine-on time percentage, each segment having an associated segment engine-on time calculated using the engine-on time percentage and the estimated time;

wherein the engine-on time is determined as a total engine-on time for the vehicle during the completion time using a summation of the segment engine-on times.

18. The method of claim 1 wherein the engine-on request is based on one of a driving command, a battery state of charge, and a vehicle cabin climate control request.

13. A vehicle comprising:

a compression ignition engine having an exhaust aftertreatment system;

an electric machine coupled to a traction battery; 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;

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.

14. The vehicle of claim 13 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.

15. The vehicle of claim 13 wherein the controller is configured to determine the driving pattern using a driving pattern identification method and a predicted trip condition.

19. A hybrid vehicle comprising:

a compression ignition engine having an exhaust aftertreatment system; and

a controller configured to calculate a ratio between a predicted engine-on time (EOT) and a completion time for an exhaust aftertreatment procedure when the engine is operating, and command the procedure if the ratio is greater than a threshold value, the EOT calculated using an engine-on time percentage and an estimated segment time for each driving pattern predicted during the completion time.

20. The vehicle of claim 19 wherein the controller is further configured to determine the threshold value as a function of a state of the exhaust aftertreatment system.