Method of monitoring soot mass in a particulate filter and monitoring system for same with correction for active regeneration inefficiency

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.

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.