CN111577429B - Optimization method of SCR average temperature algorithm - Google Patents

Optimization method of SCR average temperature algorithm Download PDF

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CN111577429B
CN111577429B CN202010380272.4A CN202010380272A CN111577429B CN 111577429 B CN111577429 B CN 111577429B CN 202010380272 A CN202010380272 A CN 202010380272A CN 111577429 B CN111577429 B CN 111577429B
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value
scr
carrier
scr carrier
temperature
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CN111577429A (en
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李明星
王辉
刘星
桑海浪
张扬
何传成
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Guangxi Yuchai Machinery Co Ltd
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Guangxi Yuchai Machinery Co Ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01NGAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N3/00Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust
    • F01N3/08Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous
    • F01N3/10Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous by thermal or catalytic conversion of noxious components of exhaust
    • F01N3/18Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous by thermal or catalytic conversion of noxious components of exhaust characterised by methods of operation; Control
    • F01N3/20Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous by thermal or catalytic conversion of noxious components of exhaust characterised by methods of operation; Control specially adapted for catalytic conversion ; Methods of operation or control of catalytic converters
    • F01N3/2066Selective catalytic reduction [SCR]
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01NGAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N11/00Monitoring or diagnostic devices for exhaust-gas treatment apparatus, e.g. for catalytic activity
    • F01N11/002Monitoring or diagnostic devices for exhaust-gas treatment apparatus, e.g. for catalytic activity the diagnostic devices measuring or estimating temperature or pressure in, or downstream of the exhaust apparatus
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/10Internal combustion engine [ICE] based vehicles
    • Y02T10/12Improving ICE efficiencies
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/10Internal combustion engine [ICE] based vehicles
    • Y02T10/40Engine management systems

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Combustion & Propulsion (AREA)
  • Theoretical Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Optimization (AREA)
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  • Toxicology (AREA)
  • Exhaust Gas After Treatment (AREA)
  • Combined Controls Of Internal Combustion Engines (AREA)

Abstract

The invention discloses an optimization method of an SCR average temperature algorithm, which comprises the following steps: acquiring an actual temperature value of an upstream sensor of the SCR carrier; acquiring an actual temperature value of a downstream sensor of the SCR carrier; calculating and obtaining an average temperature value of the SCR carrier; calculating an offset value of an actual temperature value of an upstream sensor of the SCR carrier and an actual temperature value of a downstream sensor of the SCR carrier; acquiring an exhaust flow value passing through an SCR carrier; searching a corresponding correction coefficient value through the deviation value and the exhaust flow value; and calculating the temperature value of the SCR carrier through the average temperature value and the correction coefficient value. According to the optimization method of the SCR average temperature algorithm, the temperature of the SCR carrier obtained through the actual temperature average value and the correction coefficient value of the upstream and downstream sensors of the SCR carrier is more accurate.

Description

Optimization method of SCR average temperature algorithm
Technical Field
The invention relates to control optimization of average temperature of SCR in engine aftertreatment, in particular to an optimization method of an algorithm for calculating the average temperature of an SCR carrier according to an upstream temperature sensor and a downstream temperature sensor.
Background
There are several methods for calculating the average temperature of the carrier by the current general post-treatment SCR (Selective Catalytic Reduction).
The first method comprises the following steps: using the upstream temperature sensor value as an actual value (A), the downstream temperature sensor value as an actual value (B), and the average temperature of the SCR carrier is (A + B)/2;
and the second method comprises the following steps: and calculating an average temperature of the SCR carrier by using an upstream temperature sensor value as an actual value (A), a downstream temperature sensor value as an actual value (B) and an average temperature of the SCR carrier as (A-B)/H + B, wherein the H coefficient is obtained by searching a curve by using the deviation of A-B.
And the third is that: and (3) cutting the SCR into N slices, and calculating the temperature of each slice by using heat conservation, wherein the average temperature of the SCR carrier is the average value of all the slices.
The prior art calculation method has the following defects:
1. in practical use, the first scheme and the second scheme are often used for calculating the SCR carrier temperature, and the first scheme is based on the average value of the upstream temperature sensor and the downstream temperature sensor as the carrier temperature, so that the method can only be applied to the upstream linear temperature field condition and the downstream linear temperature field condition, and cannot really feed back the actual condition of the carrier. The second method based on the H coefficient is more complete, but the inquiry of the coefficient does not consider the conditions of the carrier at high temperature and low temperature. The SCR carrier temperature is a key variable, and whether the value accurately influences the calculation of the target ammonia storage and the conversion efficiency, and finally influences the calculation of the urea injection amount, so that the control accuracy is poor.
2. In terms of emission regulations, inaccuracy of the SCR carrier temperature brings deviation of urea injection quantity, and risks of exceeding emission standards are brought.
3. In actual use of the SCR carrier, the temperature distribution is gradually decreased from the upstream to the downstream, most of the NH3 in the adsorption state reacts with NOx in the second half, and the original algorithm is inaccurate.
Therefore, an algorithm capable of dynamically correcting and accurately calculating the average temperature of the SCR carrier in real time is required to improve the accuracy and meet the practical use.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to provide an optimization method of an SCR average temperature algorithm, which is more accurate in the temperature of an SCR carrier obtained through actual temperature average values and correction coefficient values of sensors on the upstream and downstream of the SCR carrier.
In order to achieve the above object, the present invention provides an optimization method of an SCR average temperature algorithm, comprising the following steps: acquiring an actual temperature value of an upstream sensor of the SCR carrier; acquiring an actual temperature value of a downstream sensor of the SCR carrier; calculating and obtaining an average temperature value of the SCR carrier; calculating an offset value of an actual temperature value of an upstream sensor of the SCR carrier and an actual temperature value of a downstream sensor of the SCR carrier; acquiring an exhaust flow value passing through an SCR carrier; searching a corresponding correction coefficient value through the deviation value and the exhaust flow value; and calculating the temperature value of the SCR carrier through the average temperature value and the correction coefficient value.
In a preferred embodiment, the temperature value of the SCR carrier is calculated by the following formula:
the temperature value of the SCR carrier is (A + B)/2 xM; wherein A is an actual temperature value of a sensor upstream of the SCR carrier; b is an actual temperature value of a downstream sensor of the SCR carrier; m is a correction coefficient value corresponding to the (A-B) and exhaust flow rate values in the Fac pulse spectrum.
In a preferred embodiment, the correction coefficient values are obtained by substituting the offset value and the exhaust flow rate value into the Fac pulse spectrum lookup.
In a preferred embodiment, the Fac pulse spectrum is a graph of the original design data.
Compared with the prior art, the optimization method of the SCR average temperature algorithm has the following beneficial effects: the problems that the temperature condition of the carrier cannot be truly reflected and the high and low temperature condition of the SCR carrier cannot be considered in the conventional calculation mode are solved, so that the independent calibration flexibility is realized, the control precision is higher, the requirements of an actual calibration engineer are better met, and the adaptability is greatly enhanced. The method can prevent the calculation error of target ammonia storage and conversion efficiency caused by incorrect calculation of carrier temperature, influence the fluctuation of emission level and improve the emission level.
Drawings
FIG. 1 is a schematic flow diagram of an optimization method according to an embodiment of the invention.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
As shown in fig. 1, an optimization method of an SCR average temperature algorithm according to a preferred embodiment of the present invention includes the following steps: acquiring an actual temperature value of an upstream sensor of the SCR carrier; acquiring an actual temperature value of a downstream sensor of the SCR carrier; calculating and obtaining an average temperature value of the SCR carrier; calculating an offset value of an actual temperature value of an upstream sensor of the SCR carrier and an actual temperature value of a downstream sensor of the SCR carrier; acquiring an exhaust flow value passing through an SCR carrier; searching a corresponding correction coefficient value through the deviation value and the exhaust flow value; and calculating the temperature value of the SCR carrier through the average temperature value and the correction coefficient value.
In one embodiment, the temperature value of the SCR carrier is calculated by the following formula:
the temperature value of the SCR carrier is (A + B)/2 xM; wherein A is an actual temperature value of a sensor upstream of the SCR carrier; b is an actual temperature value of a downstream sensor of the SCR carrier; m is a correction coefficient value corresponding to the (A-B) and exhaust flow rate values in the Fac pulse spectrum. The correction coefficient value is obtained by introducing the deviation value and the exhaust flow value into the Fac pulse spectrum search.
In some embodiments, the Fac pulse spectrum is a curve table of the original design data. That is, in the design of this solution, the curve relationship between the deviation value of the actual temperature values of the upstream and downstream sensors of the SCR carrier and the exhaust gas flow rate value passing through the SCR carrier is calculated by theoretical calculation, for example, a curve in which the deviation value is taken as the X axis and the exhaust gas flow rate value is taken as the Y axis.
In summary, in actual use of the SCR carrier, the temperature distribution is gradually decreased from upstream to downstream, and most of the adsorbed NH3 reacts with NOX to be biased to the second half. According to the temperature deviation (temperature gradient) of the SCR upstream and downstream and the exhaust flow D, the actual temperature state of the SCR carrier can be truly, dynamically and accurately reflected. The temperature gradient and the exhaust flow are used as the input of pulse spectrums, the correction coefficient is inquired, the SCR carrier temperature can be effectively and accurately calculated, the urea control is more accurate, the requirements of actual calibration engineers are better met, and the adaptability is greatly enhanced. Meanwhile, the method can prevent the calculation error of target ammonia storage and conversion efficiency caused by incorrect calculation of the carrier temperature, influence the fluctuation of emission level and improve the emission level.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.

Claims (3)

1. An optimization method of an SCR average temperature algorithm is characterized by comprising the following steps:
acquiring an actual temperature value of an upstream sensor of the SCR carrier;
acquiring an actual temperature value of a downstream sensor of the SCR carrier;
calculating and obtaining an average temperature value of the SCR carrier;
calculating an offset value of the actual temperature value of the upstream sensor of the SCR carrier and the actual temperature value of the downstream sensor of the SCR carrier;
acquiring an exhaust flow value passing through the SCR carrier;
searching a corresponding correction coefficient value through the deviation value and the exhaust flow value; and
calculating the temperature value of the SCR carrier according to the average temperature value and the correction coefficient value;
wherein the temperature value of the SCR carrier is calculated by the following formula:
the temperature value of the SCR carrier is (A + B)/2 xM;
wherein A is an actual temperature value of a sensor upstream of the SCR carrier;
b is an actual temperature value of a downstream sensor of the SCR carrier;
m is a correction coefficient value in the Fac pulse spectrum corresponding to the (A-B) and exhaust flow rate values.
2. The method for optimizing an SCR average temperature algorithm of claim 1, wherein the correction coefficient value is obtained by substituting the deviation value and the exhaust flow rate value into a Fac pulse spectrum search.
3. The method for optimizing an SCR average temperature algorithm of claim 2, wherein the Fac pulse spectrum is a raw design data curve table.
CN202010380272.4A 2020-05-08 2020-05-08 Optimization method of SCR average temperature algorithm Active CN111577429B (en)

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Publication number Priority date Publication date Assignee Title
JP4270173B2 (en) * 2005-07-05 2009-05-27 日産自動車株式会社 Diesel engine exhaust aftertreatment system
US7558668B2 (en) * 2007-11-30 2009-07-07 Caterpillar Inc. Exhaust system having temperature sensor verification
US8359828B2 (en) * 2009-03-03 2013-01-29 GM Global Technology Operations LLC Particulate filter temperature correction system and method
GB2472986B (en) * 2009-08-24 2016-09-07 Gm Global Tech Operations Llc Method and apparatus for monitoring the light-off temperature of a diesel oxidation catalyst
CN202926444U (en) * 2012-11-30 2013-05-08 潍柴动力股份有限公司 Device and system for correcting selective catalytic reduction (SCR) urea spraying
DE102015212372B4 (en) * 2015-07-02 2021-09-30 Ford Global Technologies, Llc Method and system for monitoring operation of a catalytic converter
CN106709255A (en) * 2016-12-29 2017-05-24 无锡威孚力达催化净化器有限责任公司 SCR catalyst aging computing method
FR3081917B1 (en) * 2018-05-29 2020-06-12 Renault S.A.S SYSTEM AND METHOD FOR ESTIMATING THE PRESENCE OF A CATALYSIS MONOLITE OF AN EXHAUST GAS CATALYSIS SYSTEM OF AN INTERNAL COMBUSTION ENGINE FOR A MOTOR VEHICLE.

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