A method and system for testing low carbon emissions of an engine

Abstract

The present invention relates to the field of emission testing technology, and in particular to a method and system for testing low-carbon emissions of an engine, the method comprising: selecting a plurality of test conditions from a condition library, and acquiring corresponding historical test data from a database according to the selected test conditions; the historical test data comprises conventional fuel historical data and low-carbon fuel historical data acquired when engines of the same model use conventional fuel and low-carbon fuel respectively; acquiring emission data when the engine uses low-carbon fuel under a plurality of test conditions, and comparing the emission data when the engine uses conventional fuel, to acquire emission characteristics when the low-carbon fuel is used; acquiring temperature distribution characteristics of an exhaust emission path, combining the temperature distribution characteristics with the emission characteristics, and analyzing the temperature characteristics that affect the low-carbon emission characteristics; adjusting the test conditions based on the analysis results of the previous step, acquiring emission data after the adjusted test conditions, and uploading the data to a database.

Description

Technical Field

[0001] The present invention relates to the technical field of emission testing, and in particular to a method and system for testing low-carbon emissions of an engine. Background Art

[0002] Engine low carbon emissions is an important challenge facing the current automotive and aviation industries, aiming to reduce greenhouse gas emissions and address global climate change. Common methods include:

[0003] By adopting advanced premixed combustion technology and low NO x The combustion chamber design allows for more complete combustion, thereby reducing nitrogen oxides (NO x ) emissions. The use of advanced material technology can reduce the weight of the engine, reduce fuel consumption and carbon emissions. For example, the use of high-strength lightweight materials instead of traditional materials, such as composites and super alloys, can improve the efficiency of the engine and reduce carbon emissions. By increasing the compression ratio of the compressor, the efficiency of the internal combustion engine can be improved, and fuel consumption and carbon emissions can be reduced. The exhaust energy of aircraft engines is usually wasted. By adding an exhaust gas energy recovery system, the exhaust energy can be converted into mechanical energy or electrical energy and reused, reducing fuel consumption and carbon emissions. Use low-carbon fuels. Research on low-carbon fuels has identified their potential to significantly reduce emissions. For example, compressed natural gas (CNG), liquefied petroleum gas (LPG) and ethanol gasoline have shown different performance and emission characteristics in engines.

[0004] To this end, we provide a method to measure low carbon emissions from engines based on the use of low carbon fuels. Summary of the invention

[0005] The test of the present invention includes tests of various working conditions. Under different working conditions, the measured emission data is compared with the historical data and the emission data when using gasoline to determine whether the measured data is within the error range to determine its effectiveness. At the same time, by studying the relationship between the temperature characteristics of the emission path and the low-carbon emission characteristics, the emission effect is improved by improving the temperature characteristics of the emission path.

[0006] The technical solution proposed by the present invention is: a method for testing low-carbon emissions of an engine, the method comprising:

[0007] Selecting multiple test conditions from the condition library, and acquiring corresponding historical test data from the database according to the selected test conditions; the historical test data includes conventional fuel historical data and low-carbon fuel historical data acquired when the same model of engine uses conventional fuel and low-carbon fuel respectively;

[0008] Obtain emission data when the engine uses low-carbon fuel under various test conditions, and compare it with the emission data when using conventional fuel to obtain the emission characteristics when using low-carbon fuel;

[0009] The temperature distribution characteristics of the exhaust emission path are obtained, and the temperature distribution characteristics are combined with the emission characteristics to analyze the temperature characteristics that affect the low-carbon emission characteristics. Specifically, the emission path temperature characteristic matrix, relationship matrix and influence matrix are constructed, and by analyzing the influence matrix, the influence degree of each row element in the emission path temperature characteristic matrix on each row element in the low-carbon emission characteristic matrix is ​​obtained;

[0010] Based on the analysis results of the previous step, the test conditions are adjusted, and the emission data after the adjusted test conditions are obtained and uploaded to the database.

[0011] Preferably, the test conditions include the Chinese light vehicle driving condition CLTC condition, the world unified light vehicle test cycle WLTC condition, and the actual driving emission RDE condition;

[0012] The step of obtaining the corresponding historical test data from the database comprises the following steps:

[0013] Obtain conventional fuel historical data 1 and low-carbon fuel historical data 1 from the CLTC test database, wherein both the conventional fuel historical data 1 and the low-carbon fuel historical data 1 include emission data of a low-speed instantaneous acceleration stage, a constant-speed driving stage, a medium-speed instantaneous acceleration stage, and a rapid driving stage;

[0014] Acquire conventional fuel history data 2 and low-carbon fuel history data 2 from the WLTC test database, wherein the conventional fuel history data 2 and the low-carbon fuel history data 2 both include emission data corresponding to each driving action behavior in the low-speed stage, emission data corresponding to each driving action behavior in the medium-speed stage, emission data corresponding to each driving action behavior in the high-speed stage, and emission data corresponding to each action behavior in the ultra-high-speed stage;

[0015] Conventional fuel historical data three and low-carbon fuel historical data three are obtained from the RDE test database, and both conventional fuel historical data three and low-carbon fuel historical data three include emission data during actual road driving within the test time length, emission data during urban driving time period, emission data during suburban driving time period and emission data during high-speed driving time period.

[0016] Preferably, obtaining emission data of the engine when using low-carbon fuel under various test conditions comprises the following steps:

[0017] Get information on low-carbon fuels used in engines;

[0018] Obtain emission data of the engine under various test conditions when using low-carbon fuel, including low-carbon emission data under CLTC conditions, low-carbon emission data under WLTC conditions, and low-carbon emission data under RDE conditions;

[0019] Extract emission data of various pollutants from the low-carbon emission data under CLTC conditions to form pollutant low-carbon emission data set 1;

[0020] Extract emission data of various pollutants from the low-carbon emission data under WLTC conditions to form the pollutant low-carbon emission data set 2;

[0021] Extract emission data of various pollutants from the low-carbon emission data under RDE conditions to form pollutant low-carbon emission data set 3;

[0022] The pollutants are HC, CO, NO x One or more of .

[0023] Preferably, the comparison with the emission data when using conventional fuel to obtain the emission characteristics when using low-carbon fuel includes the following steps:

[0024] Obtain emission data of the engine under various test conditions when using conventional fuel, including conventional emission data under CLTC conditions, conventional emission data under WLTC conditions, and conventional emission data under RDE conditions;

[0025] Extract emission data of multiple pollutants from conventional emission data under CLTC conditions to form conventional pollutant emission data set 1;

[0026] Extract emission data of multiple pollutants from conventional emission data under WLTC conditions to form conventional pollutant emission data set 2;

[0027] Extract emission data of various pollutants from conventional emission data under RDE conditions to form the third conventional emission data set of pollutants;

[0028] Compare the emission data of the corresponding pollutants in the pollutant low-carbon emission data set 1 and the pollutant conventional emission data set 1 to obtain the low-carbon emission characteristics under the CLTC condition;

[0029] Compare the emission data of the corresponding pollutants in the pollutant low-carbon emission data set 2 and the pollutant conventional emission data set 2 to obtain the low-carbon emission characteristics under the WLTC condition;

[0030] Compare the emission data of corresponding pollutants in the pollutant low-carbon emission dataset 3 and the pollutant conventional emission dataset 3 to obtain the low-carbon emission characteristics under the RDE condition.

[0031] Preferably, the method further comprises the steps of:

[0032] Compare the emission data of corresponding pollutants in the conventional fuel historical data 1 and the low-carbon fuel historical data 1 to obtain the historical low-carbon emission characteristics under the CLTC condition;

[0033] Compare the emission data of corresponding pollutants in conventional fuel historical data 2 and low-carbon fuel historical data 2 to obtain the historical low-carbon emission characteristics under WLTC conditions;

[0034] Compare the emission data of corresponding pollutants in the conventional fuel historical data 3 and the low-carbon fuel historical data 3 to obtain the historical low-carbon emission characteristics under the RDE condition;

[0035] Set an emission characteristic threshold, compare the low-carbon emission characteristics under the same operating conditions with the historical low-carbon emission characteristics, and if the error between the low-carbon emission characteristics and the historical low-carbon emission characteristics is greater than the emission characteristic threshold, the test process under the corresponding operating conditions is judged to be invalid.

[0036] Preferably, the step of obtaining the temperature distribution characteristics of the exhaust emission path comprises the following steps:

[0037] Divide the exhaust emission path into multiple path segments, and obtain the infrared thermal image of each path segment within the test time period according to a preset acquisition frequency;

[0038] The exhaust gas emission path includes an exhaust gas flow path from the engine to the exhaust pipe, and a flow path from the exhaust pipe to the test device;

[0039] The acquired infrared thermal images of each path segment constitute an infrared thermal image set of the corresponding path segment;

[0040] The temperature features of multiple infrared thermal images within the test time period in each path segment are extracted, and the extracted temperature features of each path segment are added with a timestamp to form a temperature feature sequence of the corresponding path segment; specifically:

[0041] Get path segments At the collection time Infrared thermal image;

[0042] Use the Canny edge detection algorithm and contour search algorithm to extract temperature distribution features and calculate the statistical characteristics of temperature distribution;

[0043] After preprocessing the extracted temperature distribution features, the corresponding acquisition timestamp is added to form a path segment. At the collection time Temperature characteristic sequence ,in, Indicates the collection time period. , represents the number of eigenvalues, Represents a path segment No. Temperature characteristic value, , Indicates the number of path segments.

[0044] Preferably, combining the temperature distribution characteristics with the emission characteristics to analyze the temperature characteristics that affect the low-carbon emission characteristics comprises the following steps:

[0045] The temperature characteristic sequences in multiple path segments within the test time period are normalized to form time points The emission path temperature characteristic matrix ;

[0046] Extract a pollutant The carbon emission characteristics at each time point constitute the low-carbon emission characteristic matrix of the corresponding pollutants ;

[0047] Assume the relationship matrix satisfy ;

[0048] Build a The zero matrix of , traverse each row of the emission path temperature feature matrix and each column of the relationship matrix, calculate the total contribution value of each row of the emission path temperature feature matrix, and store it in the zero matrix In the corresponding position, for the zero matrix After normalization, the influence matrix is ​​obtained ;

[0049] The total contribution is ,in Respectively No. The elements of the row and No. Elements of a column;

[0050] Through the impact matrix Obtain the degree of influence of each row in the emission path temperature characteristic matrix on each row of the low carbon emission characteristic matrix.

[0051] Preferably, the step of adjusting the test conditions based on the analysis result of the previous step, obtaining the emission data after the test conditions are adjusted and uploading it to the database comprises the following steps:

[0052] Get the impact matrix ;

[0053] From the impact matrix Identify the element with the largest value and the row number of the element with the largest value ;

[0054] Extract the first All elements of the row are adjusted by The size of the elements in the row is used to adjust the low carbon emission characteristics at the corresponding time point.

[0055] The present invention also provides an engine low-carbon emission testing system, wherein the system is used to execute the engine low-carbon emission testing method.

[0056] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the engine low-carbon emission testing method.

[0057] Beneficial effects of the present invention:

[0058] 1. The present invention measures the emission data of the engine under different working conditions to ensure the adaptability of the measurement method. At the same time, by comparing the emission data of the real-time measurement of the use of low-carbon fuel with the historical emission data, and comparing it with the emission data of the use of gasoline fuel, it is determined whether the measurement data is valid.

[0059] 2. The present invention divides the engine emission path into multiple path segments, and acquires the temperature distribution characteristics of the corresponding path segments by collecting infrared thermal images. The emission path temperature characteristic matrix is ​​constructed based on the acquired temperature distribution characteristics, and the relationship between the emission path temperature characteristic matrix constructed by the temperature distribution characteristics and the low-carbon emission characteristics is studied to obtain the degree of influence of the temperature characteristics of each path segment on the low-carbon emission characteristics, and then the low-carbon emission characteristics can be improved by adjusting the temperature characteristics of the corresponding path segments. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 The present invention is a flow chart of an engine low carbon emission testing method. DETAILED DESCRIPTION

[0061] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0062] It is to be understood that the term "one" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element may be one, while in another embodiment, the number of the element may be multiple, and the term "one" should not be understood as a limitation on the quantity.

[0063] refer to Figure 1 The technical solution provided by the present invention is: a method for testing low-carbon emissions of an engine, comprising the following steps:

[0064] 1. Select multiple test conditions from the condition library, and obtain corresponding historical test data from the database according to the selected test conditions; the historical test data includes conventional fuel historical data and low-carbon fuel historical data obtained when the same model of engine uses conventional fuel and low-carbon fuel respectively;

[0065] The test conditions include the Chinese light vehicle driving condition CLTC condition, the world unified light vehicle test cycle WLTC condition and the actual driving emission RDE condition;

[0066] The step of obtaining the corresponding historical test data from the database comprises the following steps:

[0067] Obtain conventional fuel historical data 1 and low-carbon fuel historical data 1 from the CLTC test database, wherein both the conventional fuel historical data 1 and the low-carbon fuel historical data 1 include emission data of a low-speed instantaneous acceleration stage, a constant-speed driving stage, a medium-speed instantaneous acceleration stage, and a rapid driving stage;

[0068] Acquire conventional fuel history data 2 and low-carbon fuel history data 2 from the WLTC test database, wherein the conventional fuel history data 2 and the low-carbon fuel history data 2 both include emission data corresponding to each driving action behavior in the low-speed stage, emission data corresponding to each driving action behavior in the medium-speed stage, emission data corresponding to each driving action behavior in the high-speed stage, and emission data corresponding to each action behavior in the ultra-high-speed stage;

[0069] Conventional fuel historical data three and low-carbon fuel historical data three are obtained from the RDE test database, and both conventional fuel historical data three and low-carbon fuel historical data three include emission data during actual road driving within the test time length, emission data during urban driving time period, emission data during suburban driving time period and emission data during high-speed driving time period.

[0070] 2. Obtain emission data when the engine uses low-carbon fuel under various test conditions, and compare it with the emission data when using conventional fuel to obtain the emission characteristics when using low-carbon fuel. Pollutants are HC, CO, NO x Among them, obtaining emission data of the engine when using low-carbon fuel under various test conditions includes the following steps:

[0071] Obtain information about low-carbon fuels used by the engine; obtain emission data of the engine under various test conditions when using low-carbon fuels, including low-carbon emission data under CLTC conditions, low-carbon emission data under WLTC conditions, and low-carbon emission data under RDE conditions;

[0072] The emission data of various pollutants are extracted from the low-carbon emission data under the CLTC working condition to form the pollutant low-carbon emission data set 1; the emission data of various pollutants are extracted from the low-carbon emission data under the WLTC working condition to form the pollutant low-carbon emission data set 2; the emission data of various pollutants are extracted from the low-carbon emission data under the RDE working condition to form the pollutant low-carbon emission data set 3.

[0073] The process of obtaining low carbon emission characteristics is as follows:

[0074] Obtain emission data of the engine under various test conditions when using conventional fuel, including conventional emission data under CLTC conditions, conventional emission data under WLTC conditions, and conventional emission data under RDE conditions;

[0075] Extract emission data of multiple pollutants from conventional emission data under CLTC conditions to form conventional pollutant emission data set 1;

[0076] Extract emission data of multiple pollutants from conventional emission data under WLTC conditions to form conventional pollutant emission data set 2;

[0077] Extract emission data of various pollutants from conventional emission data under RDE conditions to form the third conventional emission data set of pollutants;

[0078] Compare the emission data of the corresponding pollutants in the pollutant low-carbon emission data set 1 and the pollutant conventional emission data set 1 to obtain the low-carbon emission characteristics under the CLTC condition;

[0079] Compare the emission data of the corresponding pollutants in the pollutant low-carbon emission data set 2 and the pollutant conventional emission data set 2 to obtain the low-carbon emission characteristics under the WLTC condition;

[0080] Compare the emission data of corresponding pollutants in the pollutant low-carbon emission dataset 3 and the pollutant conventional emission dataset 3 to obtain the low-carbon emission characteristics under the RDE condition.

[0081] The low-carbon emission characteristics here refer to the reduction in the emission of various pollutants when using low-carbon fuels compared to the emission of pollutants when using conventional fuels (such as gasoline). In this embodiment, the low-carbon fuel used is E10 ethanol gasoline. Through experimental measurements, the three pollutants HC, CO, and NO are reduced after the vehicle uses E10 ethanol gasoline. xThe emissions at a test time point were reduced to varying degrees, and the reduction scores compared to the use of gasoline were 21.42%, 13.23% and 4.62% respectively. The pollutants (HC or CO or NO x ) The emission reduction score is used as an element of the low-carbon emission characteristic matrix to construct the low-carbon emission characteristic matrix.

[0082] 3. To determine whether the data measured during this experiment is valid, you can do this by taking the following steps:

[0083] Compare the emission data of corresponding pollutants in the conventional fuel historical data 1 and the low-carbon fuel historical data 1 to obtain the historical low-carbon emission characteristics under the CLTC condition; compare the emission data of corresponding pollutants in the conventional fuel historical data 2 and the low-carbon fuel historical data 2 to obtain the historical low-carbon emission characteristics under the WLTC condition; compare the emission data of corresponding pollutants in the conventional fuel historical data 3 and the low-carbon fuel historical data 3 to obtain the historical low-carbon emission characteristics under the RDE condition;

[0084] Set the emission characteristic threshold, compare the low-carbon emission characteristics under the same working condition with the historical low-carbon emission characteristics, if the error between the low-carbon emission characteristics measured this time and the historical low-carbon emission characteristics is greater than the emission characteristic threshold, then the test process under the corresponding working condition is judged to be invalid. The selection of this emission characteristic threshold can be made according to different working conditions, for example, the emission characteristic threshold under CLTC working condition is 1%, and the emission characteristic threshold under RDE working condition is 0.5%.

[0085] 3. Obtain the temperature distribution characteristics of the exhaust emission path, combine the temperature distribution characteristics with the emission characteristics, and analyze the temperature characteristics that affect the low-carbon emission characteristics; the process of obtaining the temperature distribution characteristics is as follows:

[0086] The exhaust gas emission path is divided into multiple path segments, and the infrared thermal image of each path segment within the test time period is obtained according to the preset acquisition frequency; in this embodiment, the exhaust gas emission path can be divided into three path segments, namely a part of the exhaust gas pipe connected to the engine, the exhaust gas pipe located between the front and rear wheels, and the intake pipe connecting the exhaust pipe and the measuring equipment.

[0087] The exhaust gas emission path includes an exhaust gas flow path from the engine to the exhaust pipe, and a flow path from the exhaust pipe to the test device; the infrared thermal image of each path segment obtained constitutes an infrared thermal image set of the corresponding path segment;

[0088] The temperature features of multiple infrared thermal images within the test time period in each path segment are extracted, and the extracted temperature features of each path segment are added with a timestamp to form a temperature feature sequence of the corresponding path segment; specifically:

[0089] Get path segments At the collection time Infrared thermal image;

[0090] Use the Canny edge detection algorithm and contour search algorithm to extract temperature distribution features and calculate the statistical characteristics of temperature distribution;

[0091] After preprocessing the extracted temperature distribution features, the corresponding acquisition timestamp is added to form a path segment. At the collection time Temperature characteristic sequence ,in, Indicates the collection time period. , represents the number of eigenvalues, Represents a path segment No. Temperature characteristic value, , Indicates the number of path segments.

[0092] Among them, the process of analyzing the impact on low-carbon emission characteristics is as follows:

[0093] The temperature characteristic sequences in multiple path segments within the test time period are normalized to form time points The emission path temperature characteristic matrix ;

[0094] Extract a pollutant The carbon emission characteristics at each time point constitute the low-carbon emission characteristic matrix of the corresponding pollutants ;

[0095] Assume the relationship matrix satisfy ;

[0096] Build a The zero matrix of , traverse each row of the emission path temperature feature matrix and each column of the relationship matrix, calculate the total contribution value of each row of the emission path temperature feature matrix, and store it in the zero matrix In the corresponding position, for the zero matrix After normalization, the influence matrix is ​​obtained ;

[0097] The total contribution is ,in Respectively No. The elements of the row and No. Elements of a column;

[0098] Through the impact matrix Obtain the degree of influence of each row in the emission path temperature characteristic matrix on each row of the low carbon emission characteristic matrix.

[0099] In this embodiment, it is divided into 3 path segments, that is, the number of rows of the emission path temperature characteristic matrix is ​​3. If the frequency of collecting data is once every 5 minutes during the test phase of a working condition (for example, 45 minutes), then the number of columns of the emission path temperature characteristic matrix is ​​9. The elements of each row represent the temperature characteristics of each collection time point, and the temperature characteristics here can be the highest temperature value (the highest value of the temperature of multiple temperature areas of the infrared thermal image), the average temperature value (the average value of the temperature of multiple temperature areas of the infrared thermal image) and the lowest temperature value, etc.

[0100] Through the influence matrix, we can determine the influence of the elements in each row of the emission path temperature characteristic matrix on the values ​​in each row of the carbon emission characteristic matrix, and thus determine which path segment's temperature characteristics have the greatest influence on the carbon emission characteristics.

[0101] 4. Based on the analysis results of the previous step, adjust the test conditions, obtain the emission data after the adjusted test conditions and upload it to the database. The following steps are included:

[0102] Get the impact matrix ;

[0103] From the impact matrix Identify the element with the largest value and the row number of the element with the largest value ;

[0104] Extract the first All elements of the row are adjusted by The size of the elements in the row is used to adjust the low carbon emission characteristics at the corresponding time point.

[0105] By determining which path segment's temperature characteristics have the greatest impact on the low-carbon emission characteristics, the low-carbon emission characteristics can be improved by improving the temperature characteristics of this path segment, such as by spraying a thermal insulation coating or by adding a heat sink to cool the vehicle. These tasks can be performed before the vehicle leaves the factory.

[0106] If the vehicle test data is invalid, the low carbon emission characteristics can be adjusted by adjusting the temperature characteristics of the corresponding path section, excluding the test process and test equipment problems. For example, the factory tuning of some vehicles cannot adapt to low or high temperature areas.

[0107] The present invention also provides an engine low-carbon emission testing system, wherein the system is used to execute the engine low-carbon emission testing method.

[0108] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the engine low-carbon emission testing method.

[0109] In the embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. The embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part, and / or installed from a removable medium. When the computer program is executed by the central processing unit (CPU), the above functions defined in the method of the present application are executed. It should be noted that the computer-readable medium mentioned above in the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wire segments, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, electrical wire, optical cable, RF, etc., or any suitable combination of the foregoing.

[0110] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the boxes can also occur in a different order than the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0111] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been demonstrated and explained in the embodiments. Without departing from the principles, the implementation methods of the present invention may be subject to any changes or modifications.

Claims

1. A method for testing low carbon emissions of an engine, characterized in that: The method comprises: Selecting multiple test conditions from the condition library, and acquiring corresponding historical test data from the database according to the selected test conditions; the historical test data includes conventional fuel historical data and low-carbon fuel historical data acquired when the same model of engine uses conventional fuel and low-carbon fuel respectively; Obtain emission data when the engine uses low-carbon fuel under various test conditions, and compare it with the emission data when using conventional fuel to obtain the emission characteristics when using low-carbon fuel; The temperature distribution characteristics of the exhaust emission path are obtained, and the temperature distribution characteristics are combined with the emission characteristics to analyze the temperature characteristics that affect the low-carbon emission characteristics. Specifically, the emission path temperature characteristic matrix, relationship matrix and influence matrix are constructed, and by analyzing the influence matrix, the influence degree of each row element in the emission path temperature characteristic matrix on each row element in the low-carbon emission characteristic matrix is ​​obtained; Based on the analysis results of the previous step, the test conditions are adjusted, and the emission data after the adjusted test conditions are obtained and uploaded to the database.

2. The engine low carbon emission testing method according to claim 1, characterized in that: The test conditions include the Chinese light vehicle driving condition CLTC condition, the world unified light vehicle test cycle WLTC condition, and the actual driving emission RDE condition; The step of obtaining the corresponding historical test data from the database includes the following steps: Obtain conventional fuel historical data 1 and low-carbon fuel historical data 1 from the CLTC test database, wherein both the conventional fuel historical data 1 and the low-carbon fuel historical data 1 include emission data of a low-speed instantaneous acceleration stage, a constant-speed driving stage, a medium-speed instantaneous acceleration stage, and a rapid driving stage; Acquire conventional fuel history data 2 and low-carbon fuel history data 2 from the WLTC test database, wherein the conventional fuel history data 2 and the low-carbon fuel history data 2 both include emission data corresponding to each driving action behavior in the low-speed stage, emission data corresponding to each driving action behavior in the medium-speed stage, emission data corresponding to each driving action behavior in the high-speed stage, and emission data corresponding to each action behavior in the ultra-high-speed stage; Conventional fuel historical data three and low-carbon fuel historical data three are obtained from the RDE test database, and both conventional fuel historical data three and low-carbon fuel historical data three include emission data during actual road driving within the test time length, emission data during urban driving time period, emission data during suburban driving time period and emission data during high-speed driving time period.

3. The engine low carbon emission testing method according to claim 2, characterized in that: The method of obtaining emission data of an engine when using low-carbon fuel under various test conditions comprises the following steps: Get information on low-carbon fuels used in engines; Obtain emission data of the engine under various test conditions when using low-carbon fuel, including low-carbon emission data under CLTC conditions, low-carbon emission data under WLTC conditions, and low-carbon emission data under RDE conditions; Extract emission data of various pollutants from the low-carbon emission data under CLTC conditions to form pollutant low-carbon emission data set 1; Extract emission data of various pollutants from the low-carbon emission data under WLTC conditions to form the pollutant low-carbon emission data set 2; Extract emission data of various pollutants from the low-carbon emission data under RDE conditions to form pollutant low-carbon emission data set 3; The pollutants are HC, CO, NO x One or more of .

4. The engine low carbon emission testing method according to claim 3, characterized in that: The step of comparing the emission data with that when using conventional fuel to obtain the emission characteristics when using low-carbon fuel includes the following steps: Obtain emission data of the engine under various test conditions when using conventional fuel, including conventional emission data under CLTC conditions, conventional emission data under WLTC conditions, and conventional emission data under RDE conditions; Extract emission data of multiple pollutants from conventional emission data under CLTC conditions to form conventional pollutant emission data set 1; Extract emission data of multiple pollutants from conventional emission data under WLTC conditions to form conventional pollutant emission data set 2; Extract emission data of various pollutants from conventional emission data under RDE conditions to form the third conventional emission data set of pollutants; Compare the emission data of corresponding pollutants in the pollutant low-carbon emission data set 1 and the pollutant conventional emission data set 1 to obtain the low-carbon emission characteristics under the CLTC condition; Compare the emission data of the corresponding pollutants in the pollutant low-carbon emission data set 2 and the pollutant conventional emission data set 2 to obtain the low-carbon emission characteristics under the WLTC condition; Compare the emission data of corresponding pollutants in the pollutant low-carbon emission dataset 3 and the pollutant conventional emission dataset 3 to obtain the low-carbon emission characteristics under the RDE condition.

5. The engine low carbon emission testing method according to claim 4, characterized in that: Also includes the steps: Compare the emission data of corresponding pollutants in the conventional fuel historical data 1 and the low-carbon fuel historical data 1 to obtain the historical low-carbon emission characteristics under the CLTC condition; Compare the emission data of corresponding pollutants in conventional fuel historical data 2 and low-carbon fuel historical data 2 to obtain the historical low-carbon emission characteristics under WLTC conditions; Compare the emission data of corresponding pollutants in the conventional fuel historical data 3 and the low-carbon fuel historical data 3 to obtain the historical low-carbon emission characteristics under the RDE condition; Set an emission characteristic threshold, compare the low-carbon emission characteristics under the same operating conditions with the historical low-carbon emission characteristics, and if the error between the low-carbon emission characteristics and the historical low-carbon emission characteristics is greater than the emission characteristic threshold, the test process under the corresponding operating conditions is judged to be invalid.

6. The engine low carbon emission testing method according to claim 5, characterized in that: The step of obtaining the temperature distribution characteristics of the exhaust gas emission path comprises the following steps: Divide the exhaust emission path into multiple path segments, and obtain the infrared thermal image of each path segment within the test time period according to a preset acquisition frequency; The exhaust gas emission path includes an exhaust gas flow path from the engine to the exhaust pipe, and a flow path from the exhaust pipe to the test device; The acquired infrared thermal images of each path segment constitute an infrared thermal image set of the corresponding path segment; The temperature features of multiple infrared thermal images within the test time period in each path segment are extracted, and the extracted temperature features of each path segment are added with a timestamp to form a temperature feature sequence of the corresponding path segment; specifically: Get path segments At the collection time Infrared thermal image; Use the Canny edge detection algorithm and contour search algorithm to extract temperature distribution features and calculate the statistical characteristics of temperature distribution; After preprocessing the extracted temperature distribution features, the corresponding acquisition timestamp is added to form a path segment. At the collection time Temperature characteristic sequence ,in, Indicates the collection time period. , represents the number of eigenvalues, Represents a path segment No. Temperature characteristic value, , Indicates the number of path segments.

7. The engine low carbon emission testing method according to claim 6, characterized in that: The step of combining the temperature distribution characteristics with the emission characteristics to analyze the temperature characteristics that affect the low-carbon emission characteristics includes the following steps: The temperature characteristic sequences in multiple path segments within the test time period are normalized to form time points The emission path temperature characteristic matrix ; Extract a pollutant The carbon emission characteristics at each time point constitute the low-carbon emission characteristic matrix of the corresponding pollutants ; Assume the relationship matrix satisfy ; Build a The zero matrix of , traverse each row of the emission path temperature characteristic matrix and each column of the relationship matrix, calculate the total contribution value of each row of the emission path temperature characteristic matrix, and store it in the zero matrix In the corresponding position, for the zero matrix After normalization, the influence matrix is ​​obtained ; The total contribution is ,in Respectively No. The elements of the row and No. Elements of a column; Through the impact matrix Obtain the degree of influence of each row in the emission path temperature characteristic matrix on each row of the low carbon emission characteristic matrix.

8. The engine low carbon emission testing method according to claim 7, characterized in that: The step of adjusting the test conditions based on the analysis result of the previous step, obtaining the emission data after the test conditions are adjusted and uploading it to the database includes the following steps: Get the impact matrix ; From the impact matrix Identify the element with the largest value and the row number of the element with the largest value ; Extract the first All elements of the row are adjusted by The size of the elements in the row is used to adjust the low carbon emission characteristics at the corresponding time point.

9. An engine low carbon emission test system, characterized in that: The system is used to execute an engine low carbon emission testing method as described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement an engine low-carbon emission testing method as described in any one of claims 1 to 8.

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