METHOD OF DETERMINING CORRECTING LOGIC FOR REACTING MODEL OF SELECTIVE CATALYTIC REDUCTION CATALYST, METHOD OF CORRECTING PARAMETERS OF REACTING MODEL OF SELECTIVE CATALYTIC REDUCTION CATALYST AND EXHAUST SYSTEM USING THE SAME

• US 20150176456A1
• Filed: 08/28/2014
• Published: 06/25/2015
• Est. Priority Date: 12/23/2013
• Status: Active Grant

• Current Assignee: FEV GmbH, Hyundai Motor Company (Hyundai Motor Group)
• Original Assignee: FEV GmbH, Hyundai Motor Company (Hyundai Motor Group)
• Inventors: LEE, Jin Ha, CHO, Ji Ho, HOLDERBAUM, Bastian, LERS, Bernhard, VOVK, Alexander
• Granted Patent: US 10,087,805 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: F01N 11/002 the diagnostic devices measuring or estimating temperature or pressure in, or downstream of the exhaust apparatus
• CPC Class Codes: F01N 2560/026 for measuring or detecting NOx
• CPC Class Codes: F01N 2560/06 the means being a temperature sensor
• CPC Class Codes: F01N 2560/14 having more than one sensor of one kind
• CPC Class Codes: F01N 2610/146 Control thereof, e.g. control of injectors or injection valves
• CPC Class Codes: F01N 2900/0402 using adaptive learning
• CPC Class Codes: F01N 2900/0408 using a feed-back loop
• CPC Class Codes: F01N 2900/0411 using a feed-forward control
• CPC Class Codes: F01N 2900/0416 using the state of a sensor, e.g. of an exhaust gas sensor
• CPC Class Codes: F01N 2900/0601 being estimated
• CPC Class Codes: F01N 2900/1402 Exhaust gas composition
• CPC Class Codes: F01N 2900/1602 Temperature of exhaust gas apparatus
• CPC Class Codes: F01N 2900/1812 Flow rate
• CPC Class Codes: F01N 3/208 Control of selective catalytic reduction [SCR], e.g. dosing of reducing agent
• CPC Class Codes: F02D 2041/1433 using a model or simulation of the system
• CPC Class Codes: F02D 41/1461 of the exhaust gases emitted by the engine
• CPC Class Codes: F02D 41/1463 of the exhaust gases downstream of exhaust gas treatment apparatus
• CPC Class Codes: F02D 41/1465 with determination means using an estimation
• CPC Class Codes: F02D 41/2451 characterised by what is learned or calibrated
• CPC Class Codes: Y02T 10/12 Improving ICE efficiencies

Abstract

Disclosed are a method of determining a correcting logic for a reacting model of an SCR catalyst, a method of correcting parameters of the reacting model of the SCR catalyst and an exhaust system to which the methods are applied. The reacting model of the SCR catalyst is defined by m parameters and has n input variables, where m and n are natural numbers with n smaller than m. The reacting model of the SCR catalyst may be adapted to predict nitrogen oxide (NOx) concentration at a downstream of the SCR catalyst at the least.

Claims

1. A method of determining a correcting logic for a reacting model of a selective catalytic reduction (SCR) catalyst, wherein the reacting model of the SCR catalyst is defined by m parameters and has n input variables, m and n being natural numbers with n smaller than m, and wherein the reacting model of the SCR catalyst is adapted to predict nitrogen oxide (NOx) concentration at a downstream of the SCR catalyst at the least, the method comprising:

adjusting the input variables such that an error between the predicted NOx concentration and measured NOx concentration is to be a reference error under specific input variables;

determining a correction coefficient such that the error between the predicted NOx concentration and the measured NOx concentration is to be minimized under the adjusted input variables; and

repeating the adjustment of the input variables and the determination of the correction coefficient after changing the input variables.

2. The method of claim 1, wherein the correcting logic includes at least one correction function and each of the at least one correction function is a function of one input variable.

3. The method of claim 1, wherein the input variables include exhaust flow rate, NOx concentration at an upstream of the SCR catalyst, injection amount of a reducing agent, and/or temperature of the SCR catalyst.

4. The method of claim 3, wherein the correcting logic includes a function of the exhaust flow rate, a function of the NOx concentration at the upstream of the SCR catalyst, and/or a function of the temperature of the SCR catalyst.

5. The method of claim 4, wherein the correcting logic is defined as multiplication of the function of the exhaust flow rate, the function of the NOx concentration at the upstream of the SCR catalyst, and/or the function of the temperature of the SCR catalyst.

6. A method of correcting parameters of a reacting model of an SCR catalyst,

wherein the reacting model of the SCR catalyst is defined by m parameters and has n input variables, m and n being natural numbers with n smaller than m, and the reacting model of the SCR catalyst is adapted to predict NOx concentration at a downstream of the SCR catalyst at the least, and

wherein a correcting logic for correcting the parameters includes at least one correction function, each of the at least one correction function is a function of one input variable, and the correcting logic is defined as multiplication of the at least one correction function,

the method comprising:

calculating a correction coefficient by substituting current input variables into the correcting logic; and

correcting the parameters according to the correction coefficient.

7. The method of claim 6, wherein the input variables include exhaust flow rate, NOx concentration at an upstream of the SCR catalyst, injection amount of a reducing agent, and/or temperature of the SCR catalyst.

8. The method of claim 7, wherein the correcting logic includes a function of the exhaust flow rate, a function of the NOx concentration at the upstream of the SCR catalyst, and/or a function of the temperature of the SCR catalyst.

9. The method of claim 6, wherein the calculation of the correction coefficient is performed if both of a correction necessary condition and a correction feasibility condition are satisfied.

10. The method of claim 9, wherein the correction necessary condition is satisfied if an error between the predicted NOx concentration and measured NOx concentration is greater than a predetermined value under the current input variables.

11. The method of claim 9, wherein the correction feasibility condition is satisfied if current temperature of the SCR catalyst exists within a predetermined temperature range and current exhaust flow rate exists within a predetermined range of the exhaust flow rate.

12. The method of claim 6, wherein a parameter P1 after the correction is calculated from equation P1=P0*(1+Ec/Eref*f),

wherein P0 indicates the parameter before the correction, Ec indicates a current error, Eref indicates a reference error, and f indicates the correction coefficient.

13. An exhaust system comprising:

an engine adapted to generate exhaust gas while burning fuel and air;

an intake pipe connected to and supplying the air to the engine;

an exhaust pipe connected to the engine, the exhaust gas flowing through the exhaust pipe;

an SCR catalyst mounted on the exhaust pipe and adapted to reduce nitrogen oxide contained in the exhaust gas using a reducing agent;

a reducing agent supplying device mounted on the exhaust pipe between the engine and the SCR catalyst and adapted to inject the reducing agent;

an input variable detector adapted to detect n input variables, n being a natural number; and

a controller including a reacting model of the SCR catalyst for predicting reaction of the SCR catalyst, calculating a target injection amount of the reducing agent by substituting the input variables into the reacting model of the SCR catalyst, and controlling the reducing agent supplying device according to the target injection amount of the reducing agent,

wherein the reacting model of the SCR catalyst is defined by m parameters, m being a natural number, and is adapted to predict NOx concentration at a downstream of the SCR catalyst at the least, and

wherein the controller further includes a correcting logic for correcting the parameters using an error between the predicted NOx concentration and detected NOx concentration.

14. The exhaust system of claim 13, wherein the correcting logic is obtained by adjusting the input variables such that the error is to be a reference error under specific input variables, determining a correction coefficient such that the error is to be minimized under the adjusted input variables, and repeating the adjustment of the input variables and the determination of the correction coefficient after changing the input variables.

15. The exhaust system of claim 13, wherein the correcting logic includes at least one correction function and each of the at least one correction function is a function of one input variable.

16. The exhaust system of claim 13, wherein the input variables include exhaust flow rate, NOx concentration at an upstream of the SCR catalyst, injection amount of a reducing agent, and/or temperature of the SCR catalyst.

17. The exhaust system of claim 16, wherein the correcting logic includes a function of the exhaust flow rate, a function of the NOx concentration at the upstream of the SCR catalyst, and/or a function of the temperature of the SCR catalyst.

18. The exhaust system of claim 17, wherein the correcting logic is defined as multiplication of the function of the exhaust flow rate, the function of the NOx concentration at the upstream of the SCR catalyst, and/or the function of the temperature of the SCR catalyst.

19. The exhaust system of claim 13, wherein the controller is adapted to calculate the correction coefficient by substituting current input variables into the correcting logic and to correct the parameters according to the correction coefficient.

20. The exhaust system of claim 19, wherein a parameter P1 after the correction is calculated from equation P1=P0*(1+Ec/Eref*f),

wherein P0 indicates the parameter before the correction, Ec indicates a current error, Eref indicates a reference error, and f indicates the correction coefficient.