METHOD FOR EVALUATING AN EXHAUST NOX SENSOR IN THE EXHAUST SYSTEM OF SPARK IGNITION INTERNAL COMBUSTION ENGINE
20240318586 ยท 2024-09-26
Assignee
Inventors
Cpc classification
F01N2560/025
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F02D41/1463
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N2550/02
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F02D2041/1417
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N2900/1411
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N2900/1402
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F02D2041/1469
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N2570/14
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N11/007
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F02D2041/1433
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N2570/18
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N2560/026
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N2900/0404
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N2900/1602
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N13/008
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N3/101
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F02D41/1465
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N2560/14
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N13/009
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N9/00
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
International classification
F01N11/00
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01N13/00
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
Abstract
A method for evaluating a sensor signal of an exhaust NOx sensor, which is disposed downstream of a three-way catalytic converter in an exhaust system of a spark ignition internal combustion engine. An ammonia factor is modeled downstream of the three-way catalytic converter using an ammonia formation model. A NOx emission is modeled in the exhaust system downstream of the three-way catalytic converter using a NOx model. The modeled ammonia emissions and the modeled NOx emission are separated by a separation algorithm using the sensor signal of the exhaust NOx sensor. The separation algorithm provides quantitative information about the tailpipe ammonia emissions and the tailpipe NOx emissions of the spark ignition internal combustion engine. An engine control unit and an internal combustion engine for carrying out such a method are also provided.
Claims
1. A method for evaluating a sensor signal of an exhaust NOx sensor that is disposed downstream of a three-way catalytic converter in an exhaust system of a spark ignition internal combustion engine, the method comprising: modeling an ammonia factor downstream of the three-way catalytic converter using an ammonia formation model; modeling a nitrogen oxide emission in the exhaust system downstream of the three-way catalytic converter using a nitrogen oxide model; separating the modeled ammonia factor and the modeled nitrogen oxide emission by a separation algorithm using the sensor signal of the exhaust NOx sensor; and providing quantitative information, via the separation algorithm, about tailpipe ammonia emissions and tailpipe nitrogen oxide emissions of the spark ignition internal combustion engine.
2. The method according to claim 1, wherein the ammonia formation model takes into account a catalytic converter temperature and a combustion air ratio in the exhaust system downstream of the three-way catalytic converter.
3. The method according to claim 1, wherein the nitrogen oxide model takes into account a catalytic converter temperature of the three-way catalytic converter and a combustion air ratio in the exhaust system downstream of the three-way catalytic converter and takes into account an exhaust gas volume flow of the internal combustion engine.
4. The method according to claim 3, wherein the nitrogen oxide model additionally takes into account an engine speed and/or an engine torque of the internal combustion engine.
5. The method according to claim 3, wherein the nitrogen oxide model additionally takes into account an ignition angle of the spark plugs of the internal combustion engine.
6. The method according to claim 1, wherein the ammonia emission determined by the separation algorithm and the ammonia factor modeled by the ammonia formation model are filtered via a Kalman filter.
7. The method according to claim 6, wherein variances of the exhaust NOx sensor with regard to ammonia and variances of the ammonia formation model are filtered additionally by the Kalman filter.
8. The method according to claim 1, wherein the nitrogen oxide emissions determined by the separation algorithm and the nitrogen oxide emissions modeled by the nitrogen oxide model are filtered via a Kalman filter.
9. The method according to claim 8, wherein variances of the exhaust NOx sensor in relation to nitrogen oxides and variances of the nitrogen oxide model are additionally filtered by the Kalman filter.
10. An engine control unit for an internal combustion engine comprising: a memory; a processor; and computer program code stored in the memory unit, wherein the engine control unit is set up to execute the method according to claim 1 when the computer program code is executed by the processor.
11. An internal combustion engine comprising: at least one combustion chamber; a fuel injector for injecting a fuel into the combustion chamber and a spark plug for igniting a fuel-air mixture are arranged at the combustion chamber, wherein the internal combustion engine is connected by an outlet to an exhaust system, in which at least one three-way catalytic converter and an exhaust NOx sensor downstream of the three-way catalytic converter are arranged; and the engine control unit according to claim 10.
12. The internal combustion engine according to claim 11, wherein the internal combustion engine is designed as an internal combustion engine turbocharged via an exhaust gas turbocharger, and wherein a turbine of the exhaust gas turbocharger is disposed upstream of the three-way catalytic converter.
13. The internal combustion engine according to claim 11, wherein a first catalytic converter is disposed in the exhaust system in a flow direction of an exhaust gas stream through the exhaust system, and a second catalytic converter is disposed downstream of the first catalytic converter, and wherein at least one of the first or second catalytic converters is designed as a three-way catalytic converter.
14. The internal combustion engine according to claim 13, wherein a first lambda sensor is disposed upstream of the first catalytic converter, a second lambda sensor is disposed downstream of the first catalytic converter and upstream of the second catalytic converter, and the exhaust NOx sensor is disposed downstream of the second catalytic converter.
15. The internal combustion engine according to claim 11, wherein the exhaust NOx sensor has a lambda sensor functionality.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0031] The present invention will become more fully understood from the detailed description given hereinbelow and the accompanying drawings which are given by way of illustration only, and thus, are not limitive of the present invention, and wherein:
[0032]
[0033]
[0034]
[0035]
DETAILED DESCRIPTION
[0036]
[0037] Exhaust system 20 comprises an exhaust duct 22, in which a turbine 26 of an exhaust gas turbocharger 24 is disposed in the flow direction of an exhaust gas stream of internal combustion engine 10 through exhaust system 20, a first catalytic converter 30 is disposed downstream of the turbine 26, and a second catalytic converter 32 is disposed further downstream. In this example, first catalytic converter 30 is designed as a four-way catalytic converter 36 and second catalytic converter 32 as a three-way catalytic converter 34. A first lambda sensor 40, in particular a broadband lambda sensor 42, is disposed downstream of turbine 26 of exhaust gas turbocharger 24 and upstream of first catalytic converter 30. A second lambda sensor 44, in particular a jump sensor 46, is disposed downstream of first catalytic converter 30 and upstream of second catalytic converter 32. An exhaust NOx sensor 48 is disposed downstream of second catalytic converter 32. Turbine 26 of exhaust gas turbocharger 24 is connected via a shaft to a compressor 28 in the air supply system of internal combustion engine 10 and drives this compressor 28 when an exhaust gas stream is passed through turbine 26 of the exhaust gas turbocharger.
[0038] Fuel injectors 14, spark plugs 16, lambda sensors 40, 42, 44, 46, and exhaust NOx sensor 48 are connected to an engine control unit 50 of internal combustion engine 10 via signal lines. Engine control unit 50 comprises a memory unit 52 and a computing unit 54. Stored in memory unit 52 is a computer program code 56 which, when executed by computing unit 54, executes a method of the invention for evaluating an exhaust NOx sensor 48 in exhaust system 20 of a spark ignition internal combustion engine 10. Engine control unit 50 is connected to an on-board monitoring unit 58, which is used to monitor the emissions of internal combustion engine 10 during its operation.
[0039] A further example for a spark ignition internal combustion engine 10 with an exhaust system 20 for carrying out a method of the invention for evaluating a signal from an exhaust NOx sensor 48 is shown in
[0040]
[0041] In this case, catalytic converter temperature 62 of three-way catalytic converter 34 and the combustion air ratio 64 downstream of three-way catalytic converter 34 are incorporated into ammonia formation model 60. NOx model 70 determines the raw emissions of internal combustion engine 10, as well as the NOx emissions 86 downstream of three-way catalytic converter from catalytic converter temperature 62 of three-way catalytic converter 34, the combustion air ratio 64 downstream of three-way catalytic converter 34, an exhaust gas volume flow 72 of internal combustion engine 10, an engine speed 74 of internal combustion engine 10, an engine torque 76 of internal combustion engine 10, and an ignition angle 78 of internal combustion engine 10.
[0042] Separation algorithm 80 calculates tailpipe ammonia emissions 100 and tailpipe NOx emissions 102 from ammonia factor 84, the modeled NOx emissions 86, NOx sensor signal 82, catalytic converter temperature 62 of three-way catalytic converter 34, and the combustion air ratio 64 downstream of three-way catalytic converter 34.
[0043] A flowchart diagram of a further method of the invention for evaluating a sensor signal from an exhaust NOx sensor 48 in exhaust system 20 of a spark ignition internal combustion engine 10 is shown in
[0044] In this case, catalytic converter temperature 62 of three-way catalytic converter 34 and the combustion air ratio 64 downstream of three-way catalytic converter 34 are incorporated into ammonia formation model 60. The NOx model determines the raw emissions of internal combustion engine 10, as well as the NOx emissions 86 downstream of the three-way catalytic converter from catalytic converter temperature 62 of three-way catalytic converter 34, the combustion air ratio 64 downstream of three-way catalytic converter 34, an exhaust gas volume flow 72 of internal combustion engine 10, an engine speed 74 of internal combustion engine 10, an engine torque 76 of internal combustion engine 10, and an ignition angle 78 of internal combustion engine 10.
[0045] Separation algorithm 80 calculates tailpipe ammonia emissions 92 and tailpipe NOx emissions 94 from ammonia factor 84, the modeled NOx emissions 86, NOx sensor signal 82, catalytic converter temperature 62 of three-way catalytic converter 34, and the combustion air ratio 64 downstream of three-way catalytic converter 34. The calculated tailpipe ammonia emissions 92 and the calculated tailpipe NOx emissions 90 are each smoothed by a Kalman filter 90. In addition to the calculated tailpipe ammonia emissions 92, Kalman filter 90 also receives ammonia factor 84 from ammonia formation model 82 to determine tailpipe ammonia emissions 100. Further, Kalman filter 90 takes into account variances 95 of exhaust NOx sensor 48 and variances 96 of the ammonia formation model 60. For determining tailpipe NOx emissions 102, Kalman filter 90 receives the modeled tailpipe NOx emissions 86 in addition to the calculated tailpipe NOx emissions 94. In addition, Kalman filter 90 takes into account variances 97 of exhaust NOx sensor 48 and variances 98 of NOx model 70.
[0046] The concept includes a model in which the tailpipe NH.sub.3 concentration 100 is calculated using two different model approaches. The NH.sub.3 concentrations are weighted using a Kalman filter 90. The tailpipe NO.sub.x concentration 102 is the difference between the NO.sub.x sensor signal 82 and the tailpipe NH.sub.3 concentration 100. The NO.sub.x sensor signal 82 is regarded as noise-free and the exhaust NO.sub.x sensor 48 as tolerance-free.
[0047] The model is structured in three parts and is formed of a NH.sub.3 model 60, a NO.sub.x model 70, and separation algorithm 80. The input variables of the model are the NO.sub.x sensor signal 82, catalytic converter temperatures 62, and their lambda values 64, exhaust gas volume flow 72, engine speed 74, engine torque 76, and ignition angle 78. The NH.sub.3 model 60 is a backward-looking model and calculates a NH.sub.3 factor 84, which determines the deflection of the NO.sub.x sensor signal 82 caused by NH.sub.3. The NO.sub.x model 70 determines the NO.sub.x concentration at the engine outlet, after first catalytic converter 30 and the tailpipe. Accordingly, the NO.sub.x model 70 is a forward-looking model. Both models 60, 70 are subject to model uncertainties due to assumptions and simplifications.
[0048] The modeled tailpipe NO.sub.x concentration 86, NH.sub.3 factor 84, and NO.sub.x sensor signal 82 are transferred to separation algorithm 80. Consequently, there is redundant information with which separation algorithm 80 converts the tailpipe NO.sub.x concentration of the model into a second NH.sub.3 factor according to the following formula:
[0049] The confidence in the respective NH.sub.3 factor 84 and its weighting is based on variances 95, 96, which are calculated using the input variables, catalytic converter temperature 62 and catalytic converter lambda 64. Thus, a separated NH.sub.3 factor NH.sub.3,?ac_sep is determined, which, multiplied by the NO.sub.x sensor signal 82, determines the NH.sub.3 and NO.sub.x concentrations 100, 102.
[0050] The NH.sub.3 value NH.sub.3,sep is then corrected with the varying cross sensitivity of the NO.sub.x sensor signal 82. The output variables of the model are the tailpipe NO.sub.x and NH.sub.3 concentrations 92, 94. Model uncertainties can be minimized with this approach and the simultaneous occurrence of the emission components can be depicted.
[0051] A variant is the development of a forward-looking NH.sub.3 model 60 that determines the NH.sub.3 concentration 94, 102 independently of the NO.sub.x sensor signal 82. This model could be developed on the basis of Arrhenius equations. After the separation of the NO.sub.x sensor signal 82 by separation algorithm 80, the measurement noise and the component tolerance of exhaust NO.sub.x sensor 48, which together form the variance of sensor 97, 98, can be taken into account by integrating further Kalman filters 90. The variances 97, 98 of the models can be gathered from separation algorithm 80. As a result, the integration of this approach following the development of the forward-looking NH.sub.3 model 70 can be carried out with little effort. Furthermore, an increase in model quality can be expected with this approach.
[0052] The invention being thus described, it will be obvious that the same may be varied in many ways. Such variations are not to be regarded as a departure from the spirit and scope of the invention, and all such modifications as would be obvious to one skilled in the art are to be included within the scope of the following claims.