Method for model-based determination of a temperature distribution of an exhaust gas post-treatment unit

US9779218B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9779218-B2
Application numberUS-201213985923-A
CountryUS
Kind codeB2
Filing dateFeb 7, 2012
Priority dateFeb 16, 2011
Publication dateOct 3, 2017
Grant dateOct 3, 2017

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Abstract

Official abstract text for this publication.

In a method for a model-based determination of a temperature distribution of an exhaust gas post-treatment unit, a differentiation is made between steady operating states and non-steady operating states by taking into account the axial and the radial temperature distribution, and, on the basis of virtual segmentation of the post-treatment unit, in particular the radial heat transfer to the surroundings is taken into account in the model-based determination for steady operating states, and for non-steady operating states the heat transfer from the exhaust gas which flows axially through the post-treatment unit to the segments is taken into account by a heat transfer coefficient k.

First claim

Opening claim text (preview).

The invention claimed is: 1. A method for a model, comprising: determining a theoretical temperature distribution of an exhaust gas post-treatment unit, wherein exhaust gas flows axially through the post-treatment unit and which the post-treatment unit is segmented at least axially in a model of the post-treatment unit, wherein the theoretical temperature distribution is determined from at least: (a) a theoretical axial heat transfer between the segments due at least predominantly to the exhaust gas, the radial heat transfer determined from at least a heat transfer coefficient (k) and; (b) a theoretical radial heat transfer from a circumference of the post-treatment unit to the surroundings, the radial heat transfer determined from at least a heat transfer resistance value (R c ), determining a deviation of a theoretical temperature downstream of the post-treatment unit from an actual temperature downstream of the post-treatment unit, and in response to the determination of the deviation, (a) adjusting the heat transfer resistance value (R c ) when the model is in a steady-state operating mode, and (b) adjusting the heat transfer coefficient (k) when the model is in a non-steady state operating mode are determined based upon a variation of an exhaust gas temperature measured upstream of the post-treatment unit at predetermined and regular time intervals with respect to a chronological mean value of the exhaust gas temperature; and applying an amount of reducing agent to the post-treatment unit, the amount determined from at least the theoretical temperature distribution. 2. The method as claimed in claim 1 , wherein, for the modeling with respect to axial segmentation of the post-treatment unit is axially segmented into disks and radially segmented into rings, wherein the average calculated temperature downstream of the post-treatment unit is determined by averaging the temperatures calculated for each radial segment of the last disk in the axial direction. 3. The method as claimed in claim 1 , wherein, for a steady-state operating mode which is based on a given operating state, the given heat transfer coefficient (k) for this operating state is retained in the model calculation. 4. The method as claimed in claim 1 , wherein, for a non-steady-state operating mode which is based on a given operating state, a constant heat transfer coefficient (R c ) is expected in the modeling for this operating, state. 5. The method as claimed in claim 1 , wherein the heat transfer coefficient (R c ) is dependent on the ambient conditions of the post-treatment unit. 6. The method as claimed in claim 1 , wherein the direction of the change in the heat transfer coefficient (k), is determined at least by the derivatives of the measured and calculated average temperature profiles downstream of the post-treatment, wherein the heat transfer coefficient (k) is increased and decreased as a function of the relative timing of the inflection points which correspond to the maximum and minimum values of the derivatives. 7. The method for the model-based determination of the temperature distribution of an exhaust gas post-treatment unit using an SCR catalytic converter, as claimed in claim 1 ; wherein the SCR catalytic converter is integrated into a regulating structure with at least one SCR model, a pilot controller and a regulator, wherein a quantity of NH 3 which is fed to the SCR catalytic converter is determined based upon at least an emission limiting value, by the pilot controller, wherein the SCR model supplies the input variables for the pilot controller, wherein in the pilot controller the NO x value corresponding to the supplied data is continuously calculated and compared with the predefined emission value, and wherein, by adapting the respective NH 3 quantity which is fed to the SCR catalytic converter, the regulator approximates the NO x actual value measured downstream of the SCR catalytic converter to the a calculated NO x setpoint value downstream of the SCR catalytic converter. 8. The method as claimed in claim 7 , wherein the approximation is performed incrementally in the steady-state mode in order to compensate deviations of the NO x actual value measured downstream of the SCR catalytic converter from the calculated NO x setpoint value downstream of the SCR catalytic converter. 9. The method as claimed in claim 7 , wherein input variables provided for the pilot controller include at least: NO and NO 2 downstream of an SCR ppm, the maximum amount of NO and NO 2 mol/s which can be converted at the given load, the converted NO and NO 2 mol/s, the maximum NH 3 storage capacity NH 3 max, mol which can be stored, and the NH 3 storage load NH 3 mol stored. 10. The method as claimed in claim 7 , wherein deviations which occur in a variable-dependent fashion between the NO x value determined on the basis of the input variables in the pilot controller and the predefined, emission value are taken into account by changing the supply of NH 3 in such a way that an increase or decrease occurs for the NH 3 stored in the SCR model. 11. The method as claimed in claim 7 , wherein a model adjustment arrangement, in which the time sequence of the difference between measured NO x values and those determined in the model is determined as a measure of model errors, is integrated into the regulating structure. 12. The method as claimed in claim 7 , wherein NO x reactions in the SCR model are determined by subsequent main reactions NO+NO 2 +2NH 3 →2N 2 +3H 2 O,  1.) as a fast reaction 4NO+4NH 3 +O 2 →4N 2 +6H 2 O  2.) as a standard reaction, and 6NO 2 +8NH 3 →7N 2 +12H 2 O,  3.) as a slow reaction.

Assignees

Inventors

Classifications

  • F01N3/208Primary

    Control of selective catalytic reduction [SCR], e.g. by adjusting the dosing of reducing agent · CPC title

  • using a model with a division of the catalyst or filter in several cells · CPC title

  • Estimation of the temperature of the exhaust gas treatment apparatus · CPC title

  • using models instead of sensors to determine operating characteristics of exhaust systems, e.g. calculating catalyst temperature instead of measuring it directly · CPC title

  • Temperature of exhaust gas apparatus · CPC title

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What does patent US9779218B2 cover?
In a method for a model-based determination of a temperature distribution of an exhaust gas post-treatment unit, a differentiation is made between steady operating states and non-steady operating states by taking into account the axial and the radial temperature distribution, and, on the basis of virtual segmentation of the post-treatment unit, in particular the radial heat transfer to the surr…
Who is the assignee on this patent?
Hehle Marc, MüLLER RALF, Niemeyer Jens, and 5 more
What technology area does this patent fall under?
Primary CPC classification F01N3/208. Mapped technology areas include Mechanical Engineering.
When was this patent published?
Publication date Tue Oct 03 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).