Invention Grant
- Patent Title: Method for distinguishing between model inaccuracies and lambda offsets for a model-based control of the fill level of a catalytic converter
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Application No.: US16722787Application Date: 2019-12-20
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Publication No.: US10995644B2Publication Date: 2021-05-04
- Inventor: Michael Fey
- Applicant: Robert Bosch GmbH
- Applicant Address: DE Stuttgart
- Assignee: Robert Bosch GmbH
- Current Assignee: Robert Bosch GmbH
- Current Assignee Address: DE Stuttgart
- Agency: Norton Rose Fulbright US LLP
- Agent Gerard Messina
- Priority: DE102018251726.6 20181227,DE102019201293.0 20190201
- Main IPC: F01N3/10
- IPC: F01N3/10 ; F01N3/20 ; F01N9/00 ; B01D53/94

Abstract:
A method for controlling a fill level of an exhaust gas component store of a catalytic converter of an internal combustion engine, in which the fill level is controlled by using a system model, which includes a catalytic converter model, and uncertainties of measurement or model variables, which influence the control of the fill level, being corrected by an adaptation that is based on signals of an exhaust-gas probe situated on the output side of the catalytic converter. The method provides that an adaptation requirement is learned as a function of the operating point, the learned adaptation requirement is stored as a function of the operating point, and a distinction is made based on the operating point dependency between different causes of the uncertainties. Also described is a control unit to carry out the method.
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