Trapped soot estimator
AssigneeInternational Engine Intellectual Property Company, LLC
InventorsNavtej Singh, Adam C. Lack, Gregory Patrick Novak
Life of this patent
Estimating the term…
Abstract
A diesel engine (10) has an exhaust system (16) containing a diesel particulate filter (18) for trapping soot passing through the exhaust system as the engine operates. A trapped soot estimator (30) estimates soot trapped in the diesel particular filter by repeatedly executing an algorithm that calculates a data value for total soot trapped using Kalman filter processing (48) whose gain is controlled by at least one engine operating parameter.
Claims18
A diesel engine comprising:
- an exhaust system comprising a diesel particulate filter for trapping soot passing through the exhaust system as the engine operates;
- a trapped soot estimator for estimating soot trapped in the diesel particular filter comprising a processor for repeatedly executing an algorithm that calculates a data value for total soot trapped in the diesel particulate filter as the engine operates, wherein the algorithm is structured:
- a) to process data values for current engine speed and current engine torque for selecting from a steady-state soot estimation table containing data values of steady-state soot correlated with data values for engine speed and engine torque, a current data value for steady-state soot entering the diesel particulate filter, and for selecting from a transient soot estimation table containing data values of transient soot correlated with data values for engine speed and engine torque, a current data value for transient soot entering the diesel particulate filter;
- b) to calculate a current data value for a feed-forward instantaneous soot estimate by weighting the current data values for steady-state and transient soot as a function of changing engine operation, summing the weighted data values and subtracting a current data value for trapped soot being burned off by natural regeneration;
- c) and to repeatedly update a data value for a total soot estimate of soot trapped in the diesel particulate filter by adding to an existing data value for the total soot estimate the result of integrating a current data value for feed-forward instantaneous soot over a length of time since the prior update while also correcting the data value for total soot estimate by calculating a current data value for soot error between the current total soot estimate and a data value for trapped soot based on current exhaust flow and current differential pressure across the diesel particulate filter and processing the current data value for soot error by Kalman filter processing whose gain is controlled by at least one parameter related to engine operation.
A method for estimating soot trapped in the diesel particular filter in an exhaust system of a diesel engine comprising:
- repeatedly executing an algorithm to calculate a data value for total soot trapped in the diesel particulate filter as the engine operates by:
- a) processing data values for current engine speed and current engine torque for selecting from a steady-state soot estimation table containing data values of steady-state soot correlated with data values for engine speed and engine torque, a current data value for steady-state soot entering the diesel particulate filter, and for selecting from a transient soot estimation table containing data values of transient soot correlated with data values for engine speed and engine torque, a current data value for transient soot entering the diesel particulate filter;
- b) calculating a current data value for a feed-forward instantaneous soot estimate by weighting the current data values for steady-state and transient soot as a function of changing engine operation, summing the weighted data values and subtracting a current data value for trapped soot being burned off by natural regeneration;
- c) and repeatedly updating a data value for a total soot estimate of soot trapped in the diesel particulate filter by adding to an existing data value for the total soot estimate the result of integrating a current data value for feed-forward instantaneous soot over a length of time since the prior update while also correcting the data value for total soot estimate by calculating a current data value for soot error between the current total soot estimate and a data value for trapped soot based on current exhaust flow and current differential pressure across the diesel particulate filter and processing the current data value for soot error by Kalman filter processing whose gain is controlled by at least one parameter related to engine operation.
Dependencies are inferred from the claim text.