METHOD OF MONITORING SOOT MASS IN A PARTICULATE FILTER AND MONITORING SYSTEM FOR SAME WITH CORRECTION FOR ACTIVE REGENERATION INEFFICIENCY

• US 20120004863A1
• Filed: 07/02/2010
• Published: 01/05/2012
• Est. Priority Date: 07/02/2010
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations Incorporated (Motors Liquidation Co. GUC Trust)
• Inventors: Ardanese, Raffaello, Ardanese, Michelangelo, Darr, Rebecca J., Jasinkiewicz, Paul
• Granted Patent: US 8,478,565 B2
• Time in Patent Office: Days
• US Class Current: 702/47
• CPC Class Codes: F01N 2560/025 for measuring or detecting O2, e.g. lambda sensors
• CPC Class Codes: F01N 2560/06 the means being a temperature sensor
• CPC Class Codes: F01N 2560/08 the means being a pressure sensor
• CPC Class Codes: F01N 2900/0412 using pre-calibrated maps, tables or charts
• CPC Class Codes: F01N 2900/0416 using the state of a sensor, e.g. of an exhaust gas sensor
• CPC Class Codes: F01N 2900/1606 Particle filter loading or soot amount
• CPC Class Codes: F01N 9/002 of filter regeneration, e.g. detection of clogging
• CPC Class Codes: Y02T 10/40 Engine management systems

Abstract

A method of monitoring soot mass in a particulate filter of an exhaust system includes determining a pressure differential across the filter, obtaining a first soot mass estimate by fitting the determined pressure differential to a first stored database of measured or modeled pressure differentials and corresponding measured soot masses taken during filter regeneration using a substantially similar filter previously loaded following a complete filter regeneration, and obtaining a second soot mass estimate by fitting the determined pressure differential to a second stored database of measured or modeled pressure differentials and corresponding measured soot masses taken during filter regeneration using a substantially similar filter loaded following an incomplete filter regeneration. Actual soot mass is estimated by calculating a weighted sum of the first and second soot mass estimates with weighting based on operating parameters indicative of regeneration efficiency. A monitoring system for a particulate filter is also provided.

Claims

1. A method of monitoring soot mass in a particulate filter of an exhaust system comprising:

determining a pressure differential between exhaust flowing into the filter and exhaust flowing out of the filter;

obtaining a first soot mass estimate by fitting the determined pressure differential to a first stored database of measured or modeled pressure differentials and corresponding measured soot masses taken during filter regeneration using a substantially similar filter loaded following a complete filter regeneration;

obtaining a second soot mass estimate by fitting the determined pressure differential to a second stored database of measured or modeled pressure differentials and corresponding measured soot masses taken during filter regeneration using a substantially similar filter loaded following an incomplete filter regeneration; and

estimating actual soot mass by calculating a weighted sum of the first soot mass estimate and the second soot mass estimate with weighting based on operating parameters indicative of regeneration efficiency.

2. The method of claim 1, wherein the operating parameters indicative of regeneration efficiency include exhaust temperature.

3. The method of claim 1, wherein the operating parameters indicative of regeneration efficiency include oxygen level in the exhaust flow.

4. The method of claim 1, wherein the operating parameters indicative of regeneration efficiency include time since completion of a prior regeneration.

5. The method of claim 1, wherein the operating parameters indicative of regeneration efficiency include number of previous consecutive regeneration cycles resulting in incomplete regeneration.

6. The method of claim 1, wherein the operating parameters indicative of regeneration efficiency include driving mode.

7. The method of claim 1, wherein the determining a pressure differential is by measuring the pressure differential or by measuring a pressure upstream of the filter and modeling a pressure downstream of the filter.

8. A method of monitoring soot mass in a particulate filter of an exhaust system comprising:

determining operating parameters indicative of regeneration efficiency including exhaust temperature, time since completion of a previous regeneration, number of previous consecutive incomplete regenerations, and driving mode;

determining a pressure differential between exhaust flowing into the filter and exhaust flowing out of the filter;

obtaining a first soot mass estimate by fitting the determined pressure differential to a first stored database of measured pressure differentials and corresponding measured soot masses taken during filter regeneration using a substantially similar filter loaded following a substantially complete regeneration;

obtaining a second soot mass estimate by fitting the determined pressure differential to a second stored database of measured pressure differentials and corresponding measured soot masses taken during filter regeneration using a substantially similar filter loaded following an incomplete regeneration; and

estimating actual soot mass by calculating a weighted sum of the first soot mass estimate and the second soot mass estimate with weighting based on the operating parameters indicative of regeneration efficiency.

9. The method of claim 8, wherein the determining a pressure differential is by measuring the pressure differential or by measuring a pressure upstream of the filter and modeling a pressure downstream of the filter.

10. The method of claim 8, wherein the operating parameters indicative of regeneration efficiency include oxygen concentration in the exhaust.

11. A monitoring system for a particulate filter in an exhaust system for an engine comprising:

a temperature sensor positioned in the exhaust flow;

a pressure sensor positioned in fluid communication with the exhaust flow and that measures one of a pressure differential across the particulate filter and a pressure upstream of the particulate filter; and

a processor that executes

a first algorithm that determines a first soot mass estimate by fitting the pressure differential measured by the pressure sensor or a modeled pressure differential based on the pressure upstream of the particulate filter and a modeled downstream pressure to a first stored database of measured or modeled pressure differentials and corresponding measured soot masses taken during filter regeneration following a complete regeneration;

a second algorithm that determines a second soot mass estimate by fitting the pressure differential measured by the pressure sensor or a modeled pressure differential based on the pressure upstream of the particulate filter and a modeled downstream pressure to a second stored database of measured or modeled pressure differentials and corresponding measured soot masses taken during filter regeneration following an incomplete regeneration;

a third algorithm that determines a regeneration efficiency of the filter based at least in part on exhaust temperatures measured by the temperature sensor, time at each of the measured exhaust temperatures, number of previous consecutive incomplete regenerations, and driving mode; and

a fourth algorithm that calculates a corrected soot mass estimate as a weighted sum of the first soot mass estimate and the second soot mass estimate weighted based on the regeneration efficiency determined by the third algorithm.