Method and apparatus for selective catalytic reduction system

US11242787B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11242787-B2
Application numberUS-201716463963-A
CountryUS
Kind codeB2
Filing dateDec 11, 2017
Priority dateDec 21, 2016
Publication dateFeb 8, 2022
Grant dateFeb 8, 2022

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

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Selective catalytic reduction systems are known and are generally included in exhaust systems of diesel engines in order to treat the exhaust gases of such engines. Such systems involve the introduction of diesel exhaust fluid (DEF) into exhaust gas flowing in an exhaust passage of an engine. When dosing DEF onto a hydrolysis catalyst in a SCR system, the DEF will under certain conditions cool the hydrolysis catalyst sufficiently to either slow down or effectively prevent ammonia release, which creates a lag or delay in the function of the hydrolysis catalyst. This limits the amount of control which can be exerted over ammonia storage in the SCR catalyst, and NOx conversion. In a first step, a set of measurement data is received from one or more sensors provided in the system. Subsequently, a first set of characteristics associated with a state of a component of the catalytic system, a second set of characteristics associated with an output of the catalytic system and a third set of characteristics associated with a bias and a scaling factor in the system are derived. In a third step, the derived sets of characteristics are used to control the catalytic system.

First claim

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The invention claimed is: 1. A method for a selective catalytic reduction system, the selective catalytic reduction system comprising a hydrolysis catalyst, the method comprising: receiving at least one set of measurement data; deriving a first, a second and a third set of characteristics of the system based on the at least one set of measurement data, wherein the first set of characteristics is a plurality of internal parameters of the hydrolysis catalyst including a level of a compound in the hydrolysis catalyst, the second set of characteristics is associated with an output of the system, and the third set of characteristics is associated with an input state or output bias of the system; and using the derived first, second and third sets of characteristics to control the catalytic system. 2. The method according to claim 1 , wherein the first set of characteristics is associated with an internal state of a hydrolysis catalyst. 3. The method according to claim 2 , wherein the first set of characteristics comprises a plurality of first parameters that each describes one of a plurality of internal parameters of the hydrolysis catalyst. 4. The method according to claim 3 , wherein the first set of characteristics comprises at least one of: a level of isocyanic acid stored in the hydrolysis catalyst; a level of ammonia stored in the hydrolysis catalyst; a level of DEF stored in the hydrolysis catalyst; a level of solid urea stored in the hydrolysis catalyst; a level of water stored in the hydrolysis catalyst; or a profile/distribute-parameter vector of at least one of said levels. 5. The method according to claim 1 , wherein the second set of characteristics is associated with an output of the hydrolysis catalyst. 6. The method according to claim 5 , wherein the second set of characteristics comprises at least one of: an amount of urea; an amount of water; an amount of isocyanic acid; an amount of ammonia; an output temperature; or a profile/distributed-parameter vector of at least one of said amounts or temperature. 7. The method according to claim 1 , wherein the step of deriving comprises using a set of non-linear algorithms to derive the first, second and third set of characteristics. 8. The method according to claim 1 , wherein the set of non-linear algorithms comprises one of: an unscented Kalman filter; an extended Kalman filter; a moving horizon estimator. 9. The method according to claim 1 , wherein the at least one set of measurements comprises at least one of: a DEF dosage rate, an inlet temperature, an inlet mass flow rate, or an inlet concentration of at least one compound. 10. The method according to claim 1 , wherein the at least one set of measurements comprises at least one of: an outlet temperature; or an outlet concentration of at least one compound. 11. The method according to claim 1 , further comprises performing a decorrelation step on at least one of the at least one sets of measurement data. 12. A selective catalytic reduction system for treating exhaust gas in an exhaust passage, the system comprising: a hydrolysis catalyst; a DEF dosing unit configured to inject DEF onto the hydrolysis catalyst; a plurality of sensors configured to measure a plurality of parameters of the system; and a controller configured to: receive at least one set of measurement data from the plurality of sensors; using non-linear algorithms, derive a first, a second, and a third set of characteristics of the system based on the at least one set of measurement data, the first set of characteristics being a plurality of internal parameters of the hydrolysis catalyst including a level of a compound in the hydrolysis catalyst, the second set of characteristics associated with an output of the system, and the third set of characteristics associated with an input state or output bias of the system; and control the injection of DEF onto the hydrolysis catalyst through the DEF dosing unit based on the derived first, second, and third sets of characteristics. 13. The system of claim 12 , wherein the set of non-linear algorithms comprises one of: an unscented Kalman filter; an extended Kalman filter; a moving horizon estimator. 14. The system of claim 12 , wherein the at least one set of measurements comprises at least one of: a DEF dosage rate, an inlet temperature, an inlet mass flow rate, or an inlet concentration of at least one compound. 15. The system of claim 12 , wherein the first set of characteristics comprises at least one of: a level of isocyanic acid stored in the hydrolysis catalyst; a level of ammonia stored in the hydrolysis catalyst; a level of DEF stored in the hydrolysis catalyst; a level of solid urea stored in the hydrolysis catalyst; a level of water stored in the hydrolysis catalyst; or a profile/distribute-parameter vector of at least one of said levels. 16. The system of claim 12 , wherein the second set of characteristics is associated with an output of the hydrolysis catalyst. 17. The system of claim 12 , wherein the second set of characteristics comprises at least one of: an amount of urea; an amount of water; an amount of isocyanic acid; an amount of ammonia; an output temperature; or a profile/distributed-parameter vector of at least one of said amounts or temperature. 18. The system of claim 12 , wherein the controller is further configured to perform a decorrelation step on at least one of the at least one sets of measurement data.

Assignees

Inventors

Classifications

  • Controlling the catalytic process · CPC title

  • Processes characterised by a specific device · CPC title

  • Storing data relevant to operation of exhaust systems for later retrieval and analysis, e.g. to research exhaust system malfunctions · CPC title

  • for measuring or detecting ammonia NH3 · CPC title

  • F01N3/208Primary

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

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What does patent US11242787B2 cover?
Selective catalytic reduction systems are known and are generally included in exhaust systems of diesel engines in order to treat the exhaust gases of such engines. Such systems involve the introduction of diesel exhaust fluid (DEF) into exhaust gas flowing in an exhaust passage of an engine. When dosing DEF onto a hydrolysis catalyst in a SCR system, the DEF will under certain conditions cool …
Who is the assignee on this patent?
Perkins Engines Co Ltd
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 Feb 08 2022 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 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).