SCR (Selective Catalytic Reduction) catalyst aging judgment method based on NOx feedback and ammonia storage prediction

A technology of SCR catalytic converter and determination method, which is applied in the direction of machine/engine, electronic control of exhaust treatment device, diagnostic device of exhaust treatment device, etc. Problems such as decreased ammonia capacity

Active Publication Date: 2014-12-24
ZHEJIANG UNIV
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Problems solved by technology

The fresh SCR catalyst has a high NOx conversion efficiency due to its strong ammonia storage capacity, while the aged SCR catalyst has a significant dro...

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  • SCR (Selective Catalytic Reduction) catalyst aging judgment method based on NOx feedback and ammonia storage prediction
  • SCR (Selective Catalytic Reduction) catalyst aging judgment method based on NOx feedback and ammonia storage prediction
  • SCR (Selective Catalytic Reduction) catalyst aging judgment method based on NOx feedback and ammonia storage prediction

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Embodiment Construction

[0025] The present invention will be further described below in conjunction with accompanying drawing.

[0026] The judgment of the present invention includes the following parts (such as figure 2 shown): NOx concentration map, exhaust flow map, inlet NH 3 Concentration calculation, catalytic converter carrier temperature calculation, catalytic converter ammonia storage model, catalytic converter ammonia storage capacity prediction calculation, fresh catalytic converter ammonia storage capacity reference value.

[0027] The NOx concentration map part can be obtained according to the current engine speed and throttle opening, and the NOx concentration in the engine exhaust can be used as the input of the catalytic converter ammonia storage model and catalytic converter ammonia storage capacity prediction calculation part. The NOx concentration The map is obtained from the engine steady-state bench test.

[0028] In the part of the exhaust flow map part, the exhaust flow of t...

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Abstract

The invention discloses an SCR (Selective Catalytic Reduction) catalyst aging judgment method based on NOx feedback and ammonia storage prediction. On the basis of the existing sensor and control signal of a Chinese Emission Standard IV/European Emission Standard IV diesel engine SCR tail gas after-treatment system, by predicting the theoretical ammonia storage level of an SCR catalyst in real time through acquired signals, obtaining the actual ammonia storage capacity prediction value(active coating surface active site density) of the catalyst in combination with catalyst outlet NOx feedback signals and comparing the prediction value with the theoretical reference value of a fresh catalyst, a quantized aging coefficient capable of measuring the aging degree of the catalyst is obtained. Catalyst aging degree judgment results can be directly used for urea water injection amount control of a urea injection unit and catalyst-related OBD (On-Board Diagnostics) fault diagnosis of an SCR system.

Description

technical field [0001] The invention relates to a method for judging the aging degree of an SCR catalytic converter of a diesel engine, in particular to a method for judging the aging degree of an SCR catalytic converter based on NOx sensor signal feedback and ammonia storage capacity prediction. Background technique [0002] The number of motor vehicles is increasing day by day, and the advantages of diesel engines, such as large load capacity, low specific fuel consumption and high thermal efficiency, have been continuously promoted. Diesel engines have high emissions of nitrogen oxides, which can cause lung disease and are the main cause of photochemical smog and acid rain. With increasing air pollution, emission regulations are becoming stricter worldwide. Among the numerous emission improvement technology routes emerging at the historic moment, Selective Catalytic Reduction (SCR) technology using ammonia gas generated by urea decomposition as a reducing agent can not o...

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Application Information

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IPC IPC(8): F01N11/00
CPCY02T10/40
Inventor 姚栋伟吴锋魏铼戴佳伟李杏文干旭波
Owner ZHEJIANG UNIV
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