A catalyst deterioration detection device is provided to detect deterioration of a catalyst provided in an exhaust passage of an internal combustion engine. The catalyst deterioration detection device includes a storage device and processing circuitry. The storage device stores map data specifying a mapping that uses time series data of an excess amount variable in a first predetermined period and time series data of a downstream detection variable in a second predetermined period as inputs to output a deterioration level variable. The processing circuitry executes an acquisition process that acquires data, a deterioration level variable calculation process that calculates a deterioration level variable of the catalyst based on an output of the mapping using the data acquired by the acquisition process as an input. The map data includes data that is learned through machine learning.

The invention relates to a method for regenerating a particulate filter in the exhaust gas channel of an internal combustion engine. Here, the particulate filter is divided into several zones for determining the loading state, and, at the same time, a temperature distribution over the cross section of the particulate filter is determined. In order to prevent the soot retained in the edge zones of in the particulate filter from being insufficiently oxidized, when it is ascertained that the edge zones have been sufficiently loaded, the exhaust gas temperature is raised to a temperature which, in spite of the heat losses in the edge areas, lies above the temperature at which oxidation of the soot particles can take place. The invention further relates to an internal combustion engine having an exhaust gas channel and a particulate filter arranged in the exhaust gas channel, said internal combustion engine being configured to carry out such a method.

A method of recognizing deactivation of an exhaust gas catalytic converter is disclosed. For this purpose, coverage of storage sites of the exhaust gas catalytic converter with rich gas components is modeled (60) and the deactivation is recognized from a proportion of the occupied storage sites in a total number of storage sites.

A method of adjusting the dosage of a reductant for an SCR catalyst, comprising: determining (110) an expected temperature profile in at least one axial section of the catalyst (70) for a defined period of time (t.sub.Sim); firstly simulating (120) the resulting amount of reductant beyond the at least one section of the catalyst with a first defined dosage of the reductant depending on the expected temperature profile determined; comparing the first simulated amount of reductant with a limit; depending on the result of the comparison, choosing a second defined dosage and secondly simulating (130, 160) a resulting amount of reductant beyond the at least one section of the catalyst (70) with the second dosage; comparing the second simulated amount of reductant with the limit; and adjusting (140, 150, 170, 180, 190, 195) the dosage for injection of the reductant into the catalyst based on the first and/or second comparison.

A catalyst deterioration detection device is provided to detect deterioration of a catalyst provided in an exhaust passage of an internal combustion engine. The catalyst deterioration detection device includes a storage device and processing circuitry. The storage device stores map data specifying a mapping that uses time series data of an excess amount variable in a first predetermined period and time series data of a downstream detection variable in a second predetermined period as inputs to output a deterioration level variable. The processing circuitry executes an acquisition process that acquires data, a deterioration level variable calculation process that calculates a deterioration level variable of the catalyst based on an output of the mapping using the data acquired by the acquisition process as an input. The map data includes data that is learned through machine learning.

A method of estimating the oxygen storage capacity of a catalyst includes providing an engine system having an internal combustion engine and an exhaust system having a catalyst and an oxygen sensor, providing a three-way catalyst observer model having a Kalman filter and a three-way catalyst kinetic model, estimating a three-way catalyst next time step state and a modeling error, linearizing the three-way catalyst observer model, filtering the estimated three-way catalyst next time step state, and calculating a covariance.

A method (and a system that executes the method) for control of at least one sectional ammonia coverage degree profile NH.sub.3_profile for at least one SCR catalyst included in an exhaust gas treatment system, the method includes determining at least one ammonia sectional coverage degree profile NH.sub.3_profile_det for the at least one SCR catalyst based on a flow F, a temperature T and a composition C of the exhaust stream upstream of the at least one SCR catalyst. The method also includes comparing the at least one sectional ammonia coverage NH.sub.3_profile_ref with at least one sectional reference profile for an ammonia coverage degree NH.sub.3_profile_ref for the at least one SCR catalyst. The method further includes controlling, based on the comparison, at least one of a concentration of nitrogen oxides C.sub.NOX in the exhaust stream to be output from the combustion engine and a dosage of a reductant including ammonia NH3 to be injected into the exhaust stream upstream of the at least one SCR catalyst.

A method of adjusting the dosage of a reductant for an SCR catalyst, comprising: determining (110) an expected temperature profile in at least one axial section of the catalyst (70) for a defined period of time (t.sub.Sim); firstly simulating (120) the resulting amount of reductant beyond the at least one section of the catalyst with a first defined dosage of the reductant depending on the expected temperature profile determined; comparing the first simulated amount of reductant with a limit; depending on the result of the comparison, choosing a second defined dosage and secondly simulating (130, 160) a resulting amount of reductant beyond the at least one section of the catalyst (70) with the second dosage; comparing the second simulated amount of reductant with the limit; and adjusting (140, 150, 170, 180, 190, 195) the dosage for injection of the reductant into the catalyst based on the first and/or second comparison.

Methods and systems are provided for partially regenerating a lean NO.sub.x trap in response to an engine shutdown request. In one example, an engine shutdown is delayed so that a low-temperature storing region of the lean NO.sub.x trap is regenerated without regenerating a high-temperature storing region of the lean NO.sub.x trap. A battery charge is replenished during the shutdown, wherein the charge may be consumed during a subsequent engine operation.

Selective catalytic reduction (SCR) systems are known and are generally included in the exhaust systems of diesel engines in order to treat the exhaust gases of such engines. Such systems typically involve the introduction of a diesel exhaust fluid (DEF) into exhaust gas flowing in an exhaust passage of an engine. DEF dosing systems are limited by the amounts of DEF that can be delivered without deposits forming on surfaces of the aftertreatment system. A numerical model of a hydrolysis catalyst is provided. The model comprises a spatial model of a hydrolysis catalyst to be modelled, where the hydrolysis catalyst is divided into a plurality of discrete spatial units. For each of the discrete spatial units, values for a plurality of matter state parameters are determined.