CN111120130B - Engine emission correction method and system - Google Patents
Engine emission correction method and system Download PDFInfo
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- CN111120130B CN111120130B CN201911136405.7A CN201911136405A CN111120130B CN 111120130 B CN111120130 B CN 111120130B CN 201911136405 A CN201911136405 A CN 201911136405A CN 111120130 B CN111120130 B CN 111120130B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/02—Circuit arrangements for generating control signals
- F02D41/021—Introducing corrections for particular conditions exterior to the engine
- F02D41/0235—Introducing corrections for particular conditions exterior to the engine in relation with the state of the exhaust gas treating apparatus
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/02—Circuit arrangements for generating control signals
- F02D41/14—Introducing closed-loop corrections
- F02D41/1401—Introducing closed-loop corrections characterised by the control or regulation method
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/02—Circuit arrangements for generating control signals
- F02D41/14—Introducing closed-loop corrections
- F02D41/1438—Introducing closed-loop corrections using means for determining characteristics of the combustion gases; Sensors therefor
- F02D41/1444—Introducing closed-loop corrections using means for determining characteristics of the combustion gases; Sensors therefor characterised by the characteristics of the combustion gases
- F02D41/146—Introducing closed-loop corrections using means for determining characteristics of the combustion gases; Sensors therefor characterised by the characteristics of the combustion gases the characteristics being an NOx content or concentration
- F02D41/1461—Introducing closed-loop corrections using means for determining characteristics of the combustion gases; Sensors therefor characterised by the characteristics of the combustion gases the characteristics being an NOx content or concentration of the exhaust gases emitted by the engine
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Combined Controls Of Internal Combustion Engines (AREA)
Abstract
The invention relates to the field of engine control, in particular to a method and a system for correcting engine emission. The method for correcting the engine emission comprises the following steps: acquiring a current emission value of NOx of an engine; determining a deviation coefficient according to a reference table and the current emission value; determining a correction coefficient according to the self-learning weight coefficient, the deviation coefficient and the initial deviation; and correcting the current working condition point in the working condition table according to the correction coefficient. The NOx sensor is arranged on the exhaust pipe, the reference table and the current NOx emission value are compared, the deviation coefficient is determined, the correction coefficient is calculated according to the deviation coefficient, the advance angle and the rail pressure are corrected, PM is properly reduced, and therefore NOx is increased, the emission level of fuel injection reaching or approaching to the factory can be corrected, the advance angle and the rail pressure can be intelligently adjusted, self-adaption can be conducted according to the current working condition without a data brushing method, convenience and rapidness are achieved, and the emission regulation requirements are met.
Description
Technical Field
The application relates to the field of engine control, in particular to a method and a system for correcting engine emission.
Background
Emissions generated after the engine is durable (beyond after-sales time but within the product life span) may drift, that is, emissions of nitrogen oxides (NOx) may be lower than those of a new engine, and emissions of Particulate Matters (PM) may increase, which may not meet emission regulation requirements. Most of the existing emission correction is realized by flashing data, and the process is troublesome and time-consuming.
In view of the foregoing, it would be desirable to provide a method and system for conveniently and quickly correcting engine emissions that eliminates data scrubbing.
Disclosure of Invention
In order to solve the above problems, the present application provides a method and a system for correcting engine emissions.
In one aspect, the present application provides a method for correcting engine emissions, including:
acquiring a current emission value of NOx of an engine;
determining a deviation coefficient according to a reference table and the current emission value;
determining a correction coefficient according to the self-learning weight coefficient, the deviation coefficient and the initial deviation;
and correcting the current working condition point in the working condition table according to the correction coefficient.
Further, the method for correcting engine emissions as described above, before the obtaining the current emission value of engine NOx, further includes:
A table of operating conditions is determined and a reference table of NOx emissions is determined.
Further, the method for correcting engine emissions as described above, wherein the determining the operating condition table, comprises:
determining an original working condition table according to the rotating speed, the torque, the accelerator and the oil quantity of the engine;
and according to the working condition experiment, carrying out region division on the original working condition table to obtain the working condition table.
Further, the method for correcting engine emissions as described above, wherein the determining the reference table of NOx emissions, comprises:
and acquiring original emission values of the NOx of the engine under various working conditions, and determining a reference table of the NOx emission.
Further, the method for correcting engine emissions as described above, wherein determining a deviation factor based on a reference table and the current emission value, comprises:
and dividing the difference between the original emission value of the engine NOx under the current working condition in the reference table and the current emission value by the original emission value to obtain the deviation coefficient.
Further, the method for correcting engine emissions as described above, wherein determining a correction factor based on the self-learning weight factor, the deviation factor and the initial deviation, comprises:
and adding the product of multiplying the deviation coefficient by the self-learning weight coefficient to the initial deviation to obtain a correction coefficient of the current working condition in the working condition table.
Further, the method for correcting engine emissions as described above, before determining the correction coefficient according to the self-learning weight coefficient, the deviation coefficient and the initial deviation, further includes:
and if the deviation coefficient is less than or equal to the threshold value, ending the correction.
Further, the method for correcting engine emissions according to the above method for correcting a current operating point in an operating condition table according to the correction coefficient includes:
further, the method for correcting engine emissions as described above, after determining the correction factor according to the self-learning weight factor, the deviation factor and the initial deviation, further comprises:
and the peripheral working conditions of the current working conditions in the working condition table are self-learned and corrected according to the correction coefficient of the current working conditions.
In a second aspect, the present application provides a system for correcting engine emissions, comprising:
the acquisition module is used for acquiring the current emission value of the NOx of the engine;
and the correction module is used for determining a deviation coefficient according to a reference table and the current emission value, determining a correction coefficient according to a self-learning weight coefficient, the deviation coefficient and the initial deviation, and correcting the current working condition point in the working condition table according to the correction coefficient.
The application has the advantages that: the method comprises the steps of determining a deviation coefficient through a reference table and a current emission value, determining a correction coefficient according to a self-learning weight coefficient, the deviation coefficient and an initial deviation, and correcting a current working condition point in a working condition table according to the correction coefficient to achieve the purpose of correcting emission drift, so that the emission of the engine meets the emission regulation requirement, data do not need to be written, and the method is convenient and fast.
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Various additional advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating preferred embodiments and are not to be construed as limiting the application. And like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a schematic representation of the steps of a method of modifying engine emissions provided herein;
FIG. 2 is a schematic flow chart diagram of a method of modifying engine emissions provided herein;
FIG. 3 is a self-learning schematic of a method of correcting engine emissions provided herein;
FIG. 4 is a schematic illustration of an engine emissions correction system provided herein.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
According to an embodiment of the present application, there is provided a method for correcting engine emissions, as shown in fig. 1, including:
s101, acquiring a current emission value of NOx of an engine;
s102, determining a deviation coefficient according to a reference table and a current emission value;
s103, determining a correction coefficient according to the self-learning weight coefficient, the deviation coefficient and the initial deviation;
and S104, correcting the current working condition point in the working condition table according to the correction coefficient.
Before obtaining the current emission value of the engine NOx, the method further comprises the following steps:
an operating condition table and a reference table for determining NOx emissions are determined.
Determining a working condition table, comprising:
determining an original working condition table according to the rotating speed, the torque, the accelerator and the oil quantity of the engine;
and according to the working condition experiment, carrying out region division on the original working condition table to obtain the working condition table.
A reference table for determining NOx emissions comprising:
and acquiring original emission values of NOx of the engine under various working conditions, and determining a reference table of NOx emission.
Determining a deviation factor from the reference table and the current emission value, comprising:
and dividing the difference between the original emission value of the engine NOx under the current working condition in the reference table and the current emission value by the original emission value to obtain a deviation coefficient.
Determining a correction coefficient according to the self-learning weight coefficient, the deviation coefficient and the initial deviation, wherein the method comprises the following steps:
and adding the product of multiplying the deviation coefficient by the self-learning weight coefficient to the initial deviation to obtain a correction coefficient of the current working condition in the working condition table.
Before determining the correction coefficient according to the self-learning weight coefficient, the deviation coefficient and the initial deviation, the method further comprises the following steps:
and if the deviation coefficient is less than or equal to the threshold value, ending the correction.
Correcting the current working condition point in the working condition table according to the correction coefficient, wherein the correction comprises the following steps:
and multiplying the correction coefficient by the rail pressure and the advance angle in the parameter table of the current working condition point to obtain the corrected rail pressure and the advance angle.
After determining the correction coefficient according to the self-learning weight coefficient, the deviation coefficient and the initial deviation, the method further comprises the following steps:
and the peripheral working conditions of the current working conditions in the working condition table are self-learned and corrected according to the correction coefficient of the current working conditions.
And the engine executes the common rail pressure limiting and oil injection operation according to the corrected rail pressure and the advance angle.
The value range of the self-learning weight coefficient is larger than 0 and smaller than 1.
The interval time of each correction can be set as required. The units can be milliseconds, seconds and minutes. Preferably, it may be 100 milliseconds to 1 minute.
Next, as shown in fig. 2, the present embodiment will be further explained.
In a first step, the original NOx emission value of the engine is first determined. The NOx emission value of the engine may be collected by adding a NOx sensor to the exhaust pipe. The newly manufactured engine can measure the NOx emission (NOx original emission value) of the new engine through a sensor as a reference table (reference MAP) of the NOx original emission.
And secondly, determining under which working conditions the correction is carried out. Determining that the engine needs to be corrected at steady state, for each operating time or mileage, in the environment and region where emissions need to be monitored, etc.
And thirdly, determining a deviation coefficient. The method comprises the steps of calculating the difference value of a reference table of original NOx emission through the rotating speed and the oil mass of an engine to obtain an original NOx emission value under the current working condition, obtaining the current NOx emission value through a NOx sensor, and calculating a deviation coefficient (an emission drift coefficient) according to a formula, wherein the deviation coefficient is (the original NOx emission value-the current NOx emission value)/the original NOx emission value).
And fourthly, self-learning. An original working condition table (original working condition MAP) is formed by the engine speed and the oil quantity, and preferably, the rotating speed and the oil quantity area of the working condition table are divided by taking an 8 working condition experiment as an example to obtain a 3 multiplied by 5 working condition table (working condition MAP). The initial offset is set to 1 (no offset). And the correction coefficient of the current working condition point is the deviation coefficient multiplied by the self-learning weight coefficient and the initial deviation calculated according to the current working condition. Meanwhile, the correction coefficient can also carry out self-learning around the point, the self-learning weight coefficient around the point is smaller, and the learning speed is slower. The correction change rate between the result of the currently calculated correction coefficient and the last calculated correction result is limited by a maximum value and a minimum value, and when the change rate is over the limit, the correction change rate is output according to the limit value. The self-learning weight coefficient, the maximum value and the minimum value of the change rate can be set. The division of the working condition table is obtained according to the selected working condition experiment. The maximum value of the modified rate of change may be 200%, and the minimum value thereof may be-200%.
By setting the limit of the correction change rate, the influence on correction caused by conditions such as sudden change of working conditions or problems of the sensor can be avoided.
Self-learning as shown in fig. 3, the dark circle point (at 0.1) is the current working condition position (current working condition point), the self-learning correction coefficient is 0.1, the self-learning correction is also performed in the surrounding gray area, but the self-learning correction coefficient is less than 0.1, is 0.09 and 0.08, and the learning speed is relatively slow.
As shown in fig. 3, taking the original NOx emission value at the current operating point as 1000, the current NOx emission value as 800, and the self-learning weighting factor as 0.5 as examples, the deviation factor (1000-plus-800)/1000 is 0.2, and the correction factor is 0.2 × 0.5+1 is 1.1. The self-learning correction coefficient is correction coefficient × self-learning weight coefficient is 0.2 × 0.5 is 0.1. The self-learning correction coefficient of the peripheral operating point of the current operating point is less than 0.1.
And fifthly, correcting the rail pressure and the advance angle. And multiplying the correction coefficient by the rail pressure and the lead angle (reducing the lead angle and reducing the rail pressure) to output, wherein the correction needs to be within a reasonable range, and if the correction exceeds the range, the correction is output according to a limit value.
After that, the start of the next correction calculation is waited for according to the set correction interval time.
And the engine operates according to the corrected parameters, so that the NOx emission value changes, the NOx emission value is collected in a circulating mode, the correction coefficient is determined and corrected according to the self-learning weight coefficient, the deviation coefficient and the initial deviation, and the correction is finished after the correction coefficient within the correction threshold value is finally obtained. And when the correction is finished, finishing the self-learning correction of the peripheral working condition points of the current working condition point. The modification threshold may be a range, which may be set. The threshold value of the correction factor may range from-1.99 to 1.99.
The advance angle is an oil injection advance angle and is a crankshaft angle of the oil injection time of the oil injector relative to a top dead center.
The rail pressure is the rail pressure in a common rail pipe in the common rail system.
According to an embodiment of the present application, there is also provided an engine emission correction system, as shown in fig. 4, including:
the acquisition module 101 is used for acquiring the current emission value of NOx of the engine;
and the correcting module 102 is used for determining a deviation coefficient according to the reference table and the current emission value, determining a correction coefficient according to the self-learning weight coefficient, the deviation coefficient and the initial deviation, and correcting the current working condition point in the working condition table according to the correction coefficient.
According to the method, the NOx sensor is arranged on the exhaust pipe, the reference table is compared with the current NOx emission value, the deviation coefficient is determined, the correction coefficient is calculated according to the deviation coefficient, the lead angle and the rail pressure are corrected, PM is properly reduced, and NOx is increased, so that the fuel injection is corrected to reach or approach the factory emission level, the lead angle and the rail pressure can be intelligently adjusted, self-adaptation can be carried out according to the current working condition without a data brushing method, convenience and rapidness are achieved, and the emission regulation requirements are met.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method of modifying engine emissions, comprising:
acquiring a current emission value of NOx of an engine;
determining a deviation coefficient according to a reference table and the current emission value;
determining a correction coefficient according to the self-learning weight coefficient, the deviation coefficient and the initial deviation;
and correcting the current working condition point in the working condition table according to the correction coefficient.
2. The engine-out emissions correction method as set forth in claim 1, further comprising, prior to said obtaining a current engine NOx emission value:
an operating condition table and a reference table for determining NOx emissions are determined.
3. The engine-out emissions correction method of claim 2, wherein said determining a table of operating conditions comprises:
determining an original working condition table according to the rotating speed, the torque, the accelerator and the oil quantity of the engine;
and according to the working condition experiment, carrying out region division on the original working condition table to obtain the working condition table.
4. The engine-out emissions correction method of claim 2, wherein said determining a reference table of NOx emissions comprises:
and acquiring original emission values of the NOx of the engine under various working conditions, and determining a reference table of the NOx emission.
5. The engine emission correction method of claim 1, wherein said determining a deviation factor from a reference table and said current emission value comprises:
And dividing the difference between the original emission value of the engine NOx under the current working condition in the reference table and the current emission value by the original emission value to obtain the deviation coefficient.
6. The method of engine emissions modification as claimed in claim 1, wherein said determining a modification factor based on a self-learning weight factor, said deviation factor and an initial deviation comprises:
and adding the product of multiplying the deviation coefficient by the self-learning weight coefficient to the initial deviation to obtain a correction coefficient of the current working condition in the working condition table.
7. The method of modifying engine emissions according to claim 1, further comprising, prior to said determining a modification factor based on a self-learning weight factor, said deviation factor and an initial deviation:
and if the deviation coefficient is less than or equal to the threshold value, ending the correction.
8. The method for correcting engine emissions according to claim 1, wherein the correcting a current operating point in an operating table according to the correction factor comprises:
and multiplying the correction coefficient by the rail pressure and the advance angle in the parameter table of the current working condition point to obtain the corrected rail pressure and the advance angle.
9. The method of modifying engine emissions according to claim 1, further comprising, after said determining a modification factor based on a self-learning weight factor, said deviation factor and an initial deviation:
And the peripheral working conditions of the current working conditions in the working condition table are self-learned and corrected according to the correction coefficient of the current working conditions.
10. An engine emission modification system, comprising:
the acquisition module is used for acquiring the current emission value of the NOx of the engine;
and the correction module is used for determining a deviation coefficient according to a reference table and the current emission value, determining a correction coefficient according to a self-learning weight coefficient, the deviation coefficient and the initial deviation, and correcting the current working condition point in the working condition table according to the correction coefficient.
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| CN201911136405.7A CN111120130B (en) | 2019-11-19 | 2019-11-19 | Engine emission correction method and system |
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| CN201911136405.7A CN111120130B (en) | 2019-11-19 | 2019-11-19 | Engine emission correction method and system |
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| CN112523883B (en) * | 2020-11-30 | 2023-03-31 | 厦门理工学院 | Agricultural internal combustion tractor assists ecological driving system suitable for full operating mode |
| CN112528491B (en) * | 2020-12-08 | 2022-11-29 | 潍柴动力股份有限公司 | Method and device for calculating engine SOF original emission, storage medium and electronic equipment |
| CN113482783B (en) * | 2021-07-29 | 2022-11-11 | 东风商用车有限公司 | NOx emission level regulation and control method and device |
| CN115045736B (en) * | 2021-11-17 | 2023-10-24 | 长城汽车股份有限公司 | Engine nitrogen oxide emission control method, control device and storage medium |
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| CN101586500A (en) * | 2008-05-19 | 2009-11-25 | 福特环球技术公司 | Controlling the operation of an engine |
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