Systems and methods for model based control of catalytic converter systems

US9605579B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9605579-B2
Application numberUS-201414569213-A
CountryUS
Kind codeB2
Filing dateDec 12, 2014
Priority dateDec 12, 2014
Publication dateMar 28, 2017
Grant dateMar 28, 2017

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Abstract

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A system includes a controller that has a processor configured to receive a first signal from a first oxygen sensor indicative of a first oxygen measurement, wherein the first oxygen sensor is disposed upstream of a catalytic converter system; and to receive a second signal from a second oxygen sensor indicative of a second oxygen measurement, wherein the second oxygen sensor is disposed downstream of the catalytic converter system; and to execute a catalyst estimator system, wherein the catalyst estimator system is configured to derive an oxygen storage estimate based on the first signal, the second signal, and a catalytic converter model. The processor is configured to derive a system oxygen storage setpoint for the catalytic converter system based on the catalytic converter model and the oxygen storage estimate.

First claim

Opening claim text (preview).

The invention claimed is: 1. A system comprising: a controller comprising a processor programmed to: receive a first signal from a first oxygen sensor indicative of a first oxygen measurement, wherein the first oxygen sensor is disposed upstream of a catalytic converter system; receive a second signal from a second oxygen sensor indicative of a second oxygen measurement, wherein the second oxygen sensor is disposed downstream of the catalytic converter system; receive a third signal from a nitrogen oxide (NOx) sensor indicative of NOx emissions of the catalytic converter system; execute a catalyst estimator system, wherein the catalyst estimator system is configured to modify a catalytic converter model based at least in part on the third signal and to derive an oxygen storage estimate based on the first signal, the second signal, and the modified catalytic converter model; and compare the oxygen storage estimate with a system oxygen storage setpoint, wherein the processor is configured to apply the comparison during control of a gas engine. 2. The system of claim 1 , wherein the catalyst estimator system comprises an Adaptive Extended Kalman Filter (AEKF) system configured to: derive the oxygen storage estimate; and adjust the oxygen storage estimate based on the first and the second signal via execution of an augmented state-parameter model. 3. The system of claim 2 , wherein the AEKF system is configured to execute the augmented state-parameter model based on an augmented-state parameter vector. 4. The system of claim 1 , wherein the processor is configured to derive an air-to-fuel ratio (AFR) setpoint based on the comparison; and adjust a fuel actuator disposed in the gas engine based on the AFR setpoint. 5. The system of claim 1 , wherein the catalytic converter model comprises a kinetic catalyst model. 6. The system of claim 5 , wherein the kinetic catalyst model models carbon monoxide oxidation, methane oxidation, reduction of nitrogen oxides, or a combination thereof. 7. The system of claim 1 , wherein the processor is configured to apply the comparison during control of the gas engine to at least improve overall performance of the catalytic converter system, carbon monoxide oxidation efficiency of the catalytic converter system, or a combination thereof. 8. The system of claim 1 , wherein the controller is configured to receive an additional signal from an additional sensor disposed upstream of the catalytic converter system, downstream of the catalytic converter system, or inside the catalytic converter system, wherein the additional sensor comprises a carbon monoxide sensor, a mass flow sensor, a pressure sensor, a temperature sensor, an oxygen sensor, or a combination thereof, and wherein the controller is configured to further use the additional signal when modifying the catalytic converter model. 9. The system of claim 1 , wherein the processor is configured to derive an air-to-fuel ratio (AFR) setpoint based at least in part on the third signal; and adjust a fuel actuator disposed in the gas engine based on the AFR setpoint. 10. A system comprising: a gas engine system comprising a gas engine fluidly coupled to a catalytic converter system; a catalytic controller operatively coupled to the gas engine, and communicatively coupled to the catalytic converter, the catalytic controller comprising a processor programmed to: receive a first signal from a first oxygen sensor indicative of a first oxygen measurement, wherein the first oxygen sensor is disposed upstream of a catalytic converter system; receive a second signal from a second oxygen sensor indicative of a second oxygen measurement, wherein the second oxygen sensor is disposed downstream of the catalytic converter system; receive a third signal from a nitrogen oxide (NOx) sensor indicative of NOx emissions of the catalytic converter system; execute a catalyst estimator system, wherein the catalyst estimator system is configured to derive an oxygen storage estimate based on the first signal, the second signal, and a catalytic converter model; compare the oxygen storage estimate with a system oxygen storage setpoint, wherein the processor is configured to apply the comparison during control of a gas engine; and derive an air-to-fuel ratio (AFR) setpoint based on the comparison and the third signal, wherein the AFR setpoint is applied to control the gas engine. 11. The system of claim 10 , wherein the catalyst estimator system comprises an Adaptive Extended Kalman Filter (AEKF) system configured to: derive the oxygen storage estimate; and adjust the oxygen storage estimate based on the first and the second signal via execution of an augmented state-parameter model. 12. The system of claim 11 , wherein the AEKF system is configured to execute the augmented state-parameter model based on an augmented-state parameter vector. 13. The system of claim 10 , wherein the controller is configured to receive an additional signal from an additional sensor disposed upstream of the catalytic converter system, downstream of the catalytic converter system, or inside the catalytic converter system, wherein the sensor comprises a carbon oxide (COx) sensor, a mass flow sensor, a pressure sensor, a temperature sensor, or a combination thereof, and wherein the controller is configured to derive the AFR setpoint based additionally on the additional signal. 14. The system of claim 10 , wherein the processor is configured to determine a health state of the catalytic converter system based on the plurality of oxygen storage estimates. 15. A method, comprising: receiving a first signal from a first oxygen sensor indicative of a first oxygen measurement, wherein the first oxygen sensor is disposed upstream of a catalytic converter system; receiving a second signal from a second oxygen sensor indicative of a second oxygen measurement, wherein the second oxygen sensor is disposed downstream of the catalytic converter system; receiving a third signal from a nitrogen oxide (NOx) sensor indicative of NOx emissions of the catalytic converter system; executing a catalyst estimator system, wherein the catalyst estimator system is configured to modify a catalytic converter model based on the third signal and to derive an oxygen storage estimate based on the first signal, the second signal, and a catalytic converter model; deriving a system oxygen storage setpoint for the catalytic converter system based on the catalytic converter model; comparing the oxygen storage estimate with the system oxygen storage setpoint; and applying the comparison during control of a gas engine. 16. The method of claim 15 , wherein the catalyst estimator system comprises an Adaptive Extended Kalman Filter (AEKF) system configured to: derive the oxygen storage estimate; and adjust the oxygen storage estimate based on the first and the second signal via execution of an augmented state-parameter model. 17. The method of claim 16 , wherein the AEKF system is configured to execute the augmented state-parameter model based on an augmented-state parameter vector. 18. The method of claim 15 , wherein the catalytic converter model comprises a kinetic catalyst model configured to model chemical kinetics of carbon monoxide oxidation, a reduction of nitric oxide, a methane, or a combination thereof. 19. The method of claim 15 , wherein the instructions are configured to receive an additional signal from an additional sensor disposed upstream of the catalytic converter system, downstream of the catalytic conv

Assignees

Inventors

Classifications

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

  • Kalman filter · CPC title

  • F01N11/007Primary

    the diagnostic devices measuring oxygen or air concentration downstream of the exhaust apparatus · CPC title

  • Catalytic activity of catalytic converters · 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

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What does patent US9605579B2 cover?
A system includes a controller that has a processor configured to receive a first signal from a first oxygen sensor indicative of a first oxygen measurement, wherein the first oxygen sensor is disposed upstream of a catalytic converter system; and to receive a second signal from a second oxygen sensor indicative of a second oxygen measurement, wherein the second oxygen sensor is disposed downst…
Who is the assignee on this patent?
Gen Electric
What technology area does this patent fall under?
Primary CPC classification F01N11/007. Mapped technology areas include Mechanical Engineering.
When was this patent published?
Publication date Tue Mar 28 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 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).