Vehicle durability and hydrothermal aging analysis method, device and equipment and storage medium

Abstract

The invention discloses a vehicle durability and hydrothermal aging analysis method, device and equipment and a storage medium, and the method comprises the steps: obtaining tail emission data and actual operation mileage data of all target vehicle types matched with a target engine, carrying out the linear fitting of the tail emission data and the actual operation mileage data, and obtaining a tail emission trend; obtaining test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, and performing linear fitting on the test emission data to obtain an aging emission trend; the current hydrothermal aging condition is determined according to the tail emission trend and the aging emission trend, the current hydrothermal aging condition serves as the hydrothermal aging development standard of the target engine, the rapid aging time can be adjusted according to the development progress, the development period can be shortened, and rack resources can be saved; and the speed and efficiency of the durability and hydrothermal aging analysis of the whole vehicle are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle exhaust treatment, and in particular to a vehicle durability and hydrothermal aging analysis method, device, equipment and storage medium. Background Art

[0002] In the existing diesel engine after-treatment, the industry generally adopts rapid hydrothermal aging at 650℃ for 100h, or 1450h engine bench aging according to "GB20890 Durability Requirements and Test Methods for Exhaust Pollutant Emission Control Systems for Heavy-Duty Vehicles".

[0003] However, under the National VI regulations, the vehicle emission warranty period reaches 160,000 and the service life is 700,000. Whether it is rapid hydrothermal aging or GB20890 aging method, it is impossible to accurately assess the corresponding durability mileage, and it is not universal. The aging method for assessing durability has a large error. Therefore, the above two methods cannot show the actual aging of the vehicle, and are not applicable to different catalyst technology solutions and different models. At the same time, it is impossible to correlate the actual vehicle emission mileage and rapid aging durability.

[0004] The existing solution is to use the target engine bench test data and vehicle driving data, calculate the thermal accumulation data in the engine bench test and vehicle driving mileage based on the collected data, and perform equivalent calculation and analysis through the thermal accumulation data. However, this solution has the following disadvantages:

[0005] (a) The performance of the catalyst is affected by many factors, such as temperature, exhaust flow, oil quality, and vehicle scenario. Equivalent calculation and analysis based solely on the thermal accumulation data of a single vehicle is not comprehensive enough to accurately determine the correspondence between the actual endurance mileage and the bench test.

[0006] (b) This solution requires continuous data collection through engine bench aging. Catalyst degradation is sudden. If the bench time is too short, the catalyst degradation performance cannot be accurately represented. If the bench time is too long, a large amount of bench resources and economic resources will be consumed.

[0007] (c) This solution is only for a certain vehicle and the corresponding post-processing. The actual operating environment of different vehicles will have a great impact on the catalyst and is not applicable. Summary of the invention

[0008] The main purpose of the present invention is to provide a method, device, equipment and storage medium for vehicle durability and hydrothermal aging analysis, aiming to solve the technical problems in the prior art that the accuracy of bench tests cannot be guaranteed after the performance of the catalyst is affected, different actual operating environments of the whole vehicle will have a great impact on the catalyst, the durability analysis of the whole vehicle is not accurate enough, and is not applicable.

[0009] In a first aspect, the present invention provides a vehicle durability and hydrothermal aging analysis method, the vehicle durability and hydrothermal aging analysis method comprising the following steps:

[0010] Acquire tail emission data and actual running mileage data of all target vehicle models matched with the target engine, perform linear fitting on the tail emission data and the actual running mileage data, and obtain tail emission trends;

[0011] Acquire the test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, perform linear fitting on the test emission data, and obtain the aging emission trend;

[0012] The current hydrothermal aging condition is determined according to the tail exhaust trend and the aging emission trend, and the current hydrothermal aging condition is used as the hydrothermal aging development standard of the target engine.

[0013] Optionally, the acquiring tail emission data and actual running mileage data of all target vehicle models matched with the target engine, performing linear fitting on the tail emission data and the actual running mileage data, and obtaining the tail emission trend includes:

[0014] Obtain emission and driving data of each vehicle model through the vehicle-mounted T-BOX;

[0015] Determine all target vehicle models that match the target engine, extract tail emission data corresponding to all target vehicle models from the emission data, and extract actual running mileage data corresponding to all target vehicle models from the driving data;

[0016] The tail emission data and the actual running mileage data are linearly fitted to obtain the tail emission trend.

[0017] Optionally, performing linear fitting on the tail emission data and the actual running mileage data to obtain the tail emission trend includes:

[0018] The tail emission data and the actual running mileage data are linearly fitted to obtain a linear equation of tail emission NOx and mileage, and the tail emission trend is determined according to the linear equation.

[0019] Optionally, performing linear fitting on the tail emission data and the actual running mileage data to obtain a linear equation of tail emission NOx and mileage, and determining the tail emission trend according to the linear equation includes:

[0020] Performing linear fitting on the tail emission data and the actual running mileage data to obtain a linear fitting graph after linear fitting;

[0021] Filter out discrete values ​​in the linear fitting graph to obtain a tail trend line;

[0022] A linear equation of tail exhaust NOx and mileage is obtained according to the tail exhaust trend line, and the tail exhaust trend is determined according to the linear equation.

[0023] Optionally, obtaining the test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, performing linear fitting on the test emission data, and obtaining the aging emission trend includes:

[0024] Performing hydrothermal aging on the target engine at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging;

[0025] Packaging the aged engine to obtain a packaged engine, and performing a WHTC cycle emission test on the packaged engine on an engine bench to obtain test bench emission data;

[0026] The test emission data is linearly fitted to obtain the aging emission trend.

[0027] Optionally, the hydrothermal aging of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging includes:

[0028] Obtaining catalysts suitable for different hydrothermal aging times and different hydrothermal aging temperatures;

[0029] The target engine is hydrothermally aged by using corresponding catalysts at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging.

[0030] Optionally, determining a current hydrothermal aging condition according to the tail exhaust trend and the aging emission trend, and using the current hydrothermal aging condition as a hydrothermal aging development standard for the target engine, comprises:

[0031] Determining the current hydrothermal aging condition corresponding to the optimal tail emission value of each target vehicle model according to the tail emission trend and the aging emission trend;

[0032] The current hydrothermal aging conditions are used as the hydrothermal aging development standard for the target engine.

[0033] In a second aspect, in order to achieve the above-mentioned purpose, the present invention further proposes a vehicle durability and hydrothermal aging analysis device, the vehicle durability and hydrothermal aging analysis device comprising:

[0034] A tail emission linear fitting module is used to obtain tail emission data and actual running mileage data of all target vehicle models matched with a target engine, perform linear fitting on the tail emission data and the actual running mileage data, and obtain a tail emission trend;

[0035] An aging linear fitting module is used to obtain the test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, perform linear fitting on the test emission data, and obtain an aging emission trend;

[0036] The analysis module is used to determine the current hydrothermal aging condition according to the tail exhaust trend and the aging emission trend, and use the current hydrothermal aging condition as the hydrothermal aging development standard of the target engine.

[0037] In the third aspect, to achieve the above-mentioned purpose, the present invention also proposes a whole vehicle durability and hydrothermal aging analysis device, the whole vehicle durability and hydrothermal aging analysis device comprising: a memory, a processor, and a whole vehicle durability and hydrothermal aging analysis program stored in the memory and executable on the processor, the whole vehicle durability and hydrothermal aging analysis program being configured to implement the steps of the whole vehicle durability and hydrothermal aging analysis method as described above.

[0038] In a fourth aspect, in order to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a whole vehicle durability and hydrothermal aging analysis program is stored, and when the whole vehicle durability and hydrothermal aging analysis program is executed by a processor, the steps of the whole vehicle durability and hydrothermal aging analysis method as described above are implemented.

[0039] The vehicle durability and hydrothermal aging analysis method proposed in the present invention obtains tail emission data and actual running mileage data of all target vehicle models matched with the target engine, performs linear fitting on the tail emission data and the actual running mileage data, and obtains a tail emission trend; obtains test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, performs linear fitting on the test emission data, and obtains an aging emission trend; determines the current hydrothermal aging condition according to the tail emission trend and the aging emission trend, and uses the current hydrothermal aging condition as the hydrothermal aging development standard of the target engine, which can adjust the rapid aging time according to the development progress, shorten the development cycle and save bench resources, and make up for the differences between various vehicle models. At the same time, based on this fitting, it is more accurate to judge the hydrothermal aging condition, and different hydrothermal aging conditions can be fitted, thereby effectively controlling the development cycle, improving the accuracy of the vehicle durability analysis, and improving the speed and efficiency of the vehicle durability and hydrothermal aging analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1A schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention;

[0041] Figure 2 It is a schematic flow chart of the first embodiment of the vehicle durability and hydrothermal aging analysis method of the present invention;

[0042] Figure 3 It is a schematic flow chart of the second embodiment of the vehicle durability and hydrothermal aging analysis method of the present invention;

[0043] Figure 4 It is a linear fitting schematic diagram of the tail exhaust trend line in the vehicle durability and hydrothermal aging analysis method of the present invention;

[0044] Figure 5 It is a schematic flow chart of the third embodiment of the vehicle durability and hydrothermal aging analysis method of the present invention;

[0045] Figure 6 It is a schematic diagram of aging linear fitting in the vehicle durability and hydrothermal aging analysis method of the present invention;

[0046] Figure 7 This is a functional module diagram of the first embodiment of the vehicle durability and hydrothermal aging analysis device of the present invention.

[0047] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0048] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0049] The solution of the embodiment of the present invention is mainly: by obtaining the tail emission data and actual running mileage data of all target models matched by the target engine, linear fitting is performed on the tail emission data and the actual running mileage data to obtain the tail emission trend; obtaining the test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, linear fitting is performed on the test emission data to obtain the aging emission trend; determining the current hydrothermal aging condition according to the tail emission trend and the aging emission trend, and using the current hydrothermal aging condition as the hydrothermal aging development standard of the target engine, so that the rapid aging time can be adjusted according to the development progress, the development cycle can be shortened, and bench resources can be saved, which makes up for the differences between various models. At the same time, based on this fitting, the hydrothermal aging condition is more accurately judged, and different hydrothermal aging conditions can be fitted, thereby effectively controlling the development cycle, improving the accuracy of the vehicle durability analysis, and improving the speed and efficiency of the vehicle durability and hydrothermal aging analysis, solving the technical problems in the prior art that the accuracy of the bench test cannot be guaranteed after the performance of the catalyst is affected, different actual operating environments of the whole vehicle will have a great impact on the catalyst, and the vehicle durability analysis is not accurate enough and does not have applicability.

[0050] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention.

[0051] like Figure 1 As shown, the device may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed RAM memory, or it may be a stable memory (Non-Volatile Memory), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001.

[0052] Those skilled in the art will understand that Figure 1 The device structure shown in the figure does not constitute a limitation of the device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0053] like Figure 1As shown, the memory 1005 as a storage medium may include an operating device, a network communication module, a user interface module, and a vehicle durability and hydrothermal aging analysis program.

[0054] The device of the present invention calls the vehicle durability and hydrothermal aging analysis program stored in the memory 1005 through the processor 1001, and performs the following operations:

[0055] Acquire tail emission data and actual running mileage data of all target vehicle models matched with the target engine, perform linear fitting on the tail emission data and the actual running mileage data, and obtain tail emission trends;

[0056] Acquire the test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, perform linear fitting on the test emission data, and obtain the aging emission trend;

[0057] The current hydrothermal aging condition is determined according to the tail exhaust trend and the aging emission trend, and the current hydrothermal aging condition is used as the hydrothermal aging development standard of the target engine.

[0058] The device of the present invention calls the vehicle durability and hydrothermal aging analysis program stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0059] Obtain emission and driving data of each vehicle model through the vehicle-mounted T-BOX;

[0060] Determine all target vehicle models that match the target engine, extract tail emission data corresponding to all target vehicle models from the emission data, and extract actual running mileage data corresponding to all target vehicle models from the driving data;

[0061] The tail emission data and the actual running mileage data are linearly fitted to obtain the tail emission trend.

[0062] The device of the present invention calls the vehicle durability and hydrothermal aging analysis program stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0063] The tail emission data and the actual running mileage data are linearly fitted to obtain a linear equation of tail emission NOx and mileage, and the tail emission trend is determined according to the linear equation.

[0064] The device of the present invention calls the vehicle durability and hydrothermal aging analysis program stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0065] Performing linear fitting on the tail emission data and the actual running mileage data to obtain a linear fitting graph after linear fitting;

[0066] Filter out discrete values ​​in the linear fitting graph to obtain a tail trend line;

[0067] A linear equation of tail exhaust NOx and mileage is obtained according to the tail exhaust trend line, and the tail exhaust trend is determined according to the linear equation.

[0068] The device of the present invention calls the vehicle durability and hydrothermal aging analysis program stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0069] Performing hydrothermal aging on the target engine at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging;

[0070] Packaging the aged engine to obtain a packaged engine, and performing a WHTC cycle emission test on the packaged engine on an engine bench to obtain test bench emission data;

[0071] The test emission data is linearly fitted to obtain the aging emission trend.

[0072] The device of the present invention calls the vehicle durability and hydrothermal aging analysis program stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0073] Obtaining catalysts suitable for different hydrothermal aging times and different hydrothermal aging temperatures;

[0074] The target engine is hydrothermally aged by using corresponding catalysts at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging.

[0075] The device of the present invention calls the vehicle durability and hydrothermal aging analysis program stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0076] Determining the current hydrothermal aging condition corresponding to the optimal tail emission value of each target vehicle model according to the tail emission trend and the aging emission trend;

[0077] The current hydrothermal aging conditions are used as the hydrothermal aging development standard for the target engine.

[0078] Through the above scheme, this embodiment obtains the tail emission data and actual running mileage data of all target vehicle models matched with the target engine, performs linear fitting on the tail emission data and the actual running mileage data, and obtains the tail emission trend; obtains the test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, performs linear fitting on the test emission data, and obtains the aging emission trend; determines the current hydrothermal aging condition according to the tail emission trend and the aging emission trend, and uses the current hydrothermal aging condition as the hydrothermal aging development standard of the target engine, which can adjust the rapid aging time according to the development progress, shorten the development cycle and save bench resources, and make up for the differences between various vehicle models. At the same time, based on this fitting, it is more accurate to judge the hydrothermal aging condition, and different hydrothermal aging conditions can be fitted, thereby effectively controlling the development cycle, improving the accuracy of the whole vehicle durability analysis, and improving the speed and efficiency of the whole vehicle durability and hydrothermal aging analysis.

[0079] Based on the above hardware structure, an embodiment of the vehicle durability and hydrothermal aging analysis method of the present invention is proposed.

[0080] Reference Figure 2 , Figure 2 It is a schematic flow chart of the first embodiment of the vehicle durability and hydrothermal aging analysis method of the present invention.

[0081] In the first embodiment, the vehicle durability and hydrothermal aging analysis method comprises the following steps:

[0082] Step S10: Acquire tail emission data and actual running mileage data of all target vehicle models matched with the target engine, perform linear fitting on the tail emission data and the actual running mileage data, and obtain a tail emission trend.

[0083] It should be noted that different engines correspond to different vehicle models. After obtaining the tail emission data and actual mileage data of all target models matching the target engine, the tail emission data and the actual mileage data can be linearly fitted to obtain the tail emission trend.

[0084] Step S20: acquiring the test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, performing linear fitting on the test emission data, and obtaining an aging emission trend.

[0085] It should be understood that the target engine has corresponding test bench emission data during the bench test at different hydrothermal aging times and different hydrothermal aging temperatures. After obtaining the test bench emission data, the test emission data can be linearly fitted to obtain the aging emission trend.

[0086] Step S30: determining a current hydrothermal aging condition according to the tail exhaust trend and the aging emission trend, and using the current hydrothermal aging condition as a hydrothermal aging development standard for the target engine.

[0087] It can be understood that the current hydrothermal aging conditions can be determined based on the tail exhaust trend and the aging emission trend, and then the current hydrothermal aging conditions can be used as the hydrothermal aging development standard of the target engine, thereby adjusting the rapid aging time, shortening the vehicle development cycle, and saving test bench resources.

[0088] Furthermore, the step S30 specifically includes the following steps:

[0089] Determining the current hydrothermal aging condition corresponding to the optimal tail emission value of each target vehicle model according to the tail emission trend and the aging emission trend;

[0090] The current hydrothermal aging conditions are used as the hydrothermal aging development standard for the target engine.

[0091] It should be understood that the current hydrothermal aging conditions corresponding to the optimal tail emission values ​​of each target vehicle model are determined by the tail emission trend and the aging emission trend. As the hydrothermal aging development standard for the target engine, big data can make up for the errors between various models, and can further improve the accuracy. When the hydrothermal aging assessment is developed, it is ensured that the assessment conditions correspond to the actual durability mileage. At the same time, the rapid aging time can be adjusted according to the development progress, which can shorten the development cycle and save bench resources.

[0092] Through the above scheme, this embodiment obtains the tail emission data and actual running mileage data of all target vehicle models matched with the target engine, performs linear fitting on the tail emission data and the actual running mileage data, and obtains the tail emission trend; obtains the test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, performs linear fitting on the test emission data, and obtains the aging emission trend; determines the current hydrothermal aging condition according to the tail emission trend and the aging emission trend, and uses the current hydrothermal aging condition as the hydrothermal aging development standard of the target engine, which can adjust the rapid aging time according to the development progress, shorten the development cycle and save bench resources, and make up for the differences between various vehicle models. At the same time, based on this fitting, it is more accurate to judge the hydrothermal aging condition, and different hydrothermal aging conditions can be fitted, thereby effectively controlling the development cycle, improving the accuracy of the whole vehicle durability analysis, and improving the speed and efficiency of the whole vehicle durability and hydrothermal aging analysis.

[0093] Further, Figure 3 FIG. 1 is a flow chart of a second embodiment of the vehicle durability and hydrothermal aging analysis method of the present invention. Figure 3As shown, based on the first embodiment, a second embodiment of the vehicle durability and hydrothermal aging analysis method of the present invention is proposed. In this embodiment, the step S10 specifically includes the following steps:

[0094] Step S11: Obtain emission data and driving data of each vehicle type through the vehicle-mounted T-BOX.

[0095] It should be noted that the emission data and driving data of each vehicle model can be obtained through the vehicle telematics box (T-BOX).

[0096] In specific implementation, based on existing vehicle models, the actual tail emissions and actual mileage of each vehicle model can be collected in large quantities through T-BOX big data.

[0097] Step S12: determine all target vehicle models that match the target engine, extract tail emission data corresponding to all target vehicle models from the emission data, and extract actual running mileage data corresponding to all target vehicle models from the driving data.

[0098] It is understandable that generally all target vehicle models matching the target engine can be determined by querying the database, and then the tail emission data corresponding to all the target vehicle models can be extracted from the emission data, and the actual mileage data corresponding to all the target vehicle models can be extracted from the driving data.

[0099] Step S13: linearly fit the tail emission data and the actual running mileage data to obtain a tail emission trend.

[0100] It should be understood that after obtaining the tail emission data and the actual mileage data, all of these data can be linearly fitted.

[0101] Furthermore, the step S13 specifically includes the following steps:

[0102] The tail emission data and the actual running mileage data are linearly fitted to obtain a linear equation of tail emission NOx and mileage, and the tail emission trend is determined according to the linear equation.

[0103] It can be understood that by linearly fitting the tail emission data and the actual running mileage data, a linear equation of NOx emission and mileage can be obtained, so that the tail emission trend can be determined according to the linear equation.

[0104] Furthermore, the step performs linear fitting on the tail emission data and the actual running mileage data to obtain a linear equation of tail NOx and mileage, and determines the tail emission trend according to the linear equation, specifically including the following steps:

[0105] Performing linear fitting on the tail emission data and the actual running mileage data to obtain a linear fitting graph after linear fitting;

[0106] Filter out discrete values ​​in the linear fitting graph to obtain a tail trend line;

[0107] A linear equation of tail exhaust NOx and mileage is obtained according to the tail exhaust trend line, and the tail exhaust trend is determined according to the linear equation.

[0108] It should be understood that after linear fitting is performed on the tail emission data and the actual running mileage data to obtain a linear fitting graph, after filtering out discrete values ​​in the linear fitting graph, a tail emission trend line can be obtained, and a linear equation of tail emission NOx and mileage can be obtained based on the tail emission trend line, and the tail emission trend can be determined based on the linear equation.

[0109] In the specific implementation, see Figure 4 , Figure 4 Schematic diagram of linear fitting of the tail row trend line in the vehicle durability and hydrothermal aging analysis method of the present invention. Figure 4 As shown, taking a gasoline vehicle as an example, the horizontal axis in the figure corresponds to mileage, the unit is (10,000 kilometers), and the vertical axis corresponds to the NOx emission of nitrogen oxides in automobile exhaust emissions, the unit is (g / kwh). Each point in the vertical axis in the figure represents the actual NOx value of each vehicle's entire vehicle emission; tail emission trend line: y=0.0037184x+0.1924321, y is the vertical axis value of the linear fitting after several models, 0.0037184 represents the slope of the tail emission of NOx as the mileage of the car increases, and 0.1924321 is the linear fitting value after several models. When 0km, the actual emission is achieved, that is, the intercept.

[0110] For example, the linear equation of tail NOx and mileage is obtained through linear fitting: y=0.0037184x+0.1924321, and the specific value of tail NOx emission expected to reach 700,000 kilometers (life span) is calculated through fitting. For example, the above formula can be calculated as follows: 0.00371848*70+0.1924321=0.453wh; that is, based on this solution, the tail NOx emission of this model is expected to be 0.453g / kWh at 700,000 kilometers.

[0111] Through the above scheme, this embodiment obtains the emission data and driving data of each vehicle model through the vehicle-mounted T-BOX; determines all target vehicle models matching the target engine, extracts the tail emission data corresponding to the all target vehicle models from the emission data, and extracts the actual running mileage data corresponding to the all target vehicle models from the driving data; linearly fits the tail emission data and the actual running mileage data to obtain the tail emission trend; can quickly and accurately obtain the tail emission trend, improves the accuracy of the whole vehicle durability analysis, and improves the speed and efficiency of the whole vehicle durability and hydrothermal aging analysis.

[0112] Further, Figure 5 FIG. 1 is a flow chart of a third embodiment of the vehicle durability and hydrothermal aging analysis method of the present invention. Figure 5 As shown, a third embodiment of the vehicle durability and hydrothermal aging analysis method of the present invention is proposed based on the first embodiment. In this embodiment, the step S20 specifically includes the following steps:

[0113] Step S21, performing hydrothermal aging on the target engine at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging.

[0114] It should be noted that after the target engine is hydrothermally aged at different hydrothermal aging times and different hydrothermal aging temperatures, an aged engine after hydrothermal aging can be obtained.

[0115] Furthermore, the step S21 specifically includes the following steps:

[0116] Obtaining catalysts suitable for different hydrothermal aging times and different hydrothermal aging temperatures;

[0117] The target engine is hydrothermally aged by using corresponding catalysts at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging.

[0118] It should be understood that different hydrothermal aging times and different hydrothermal aging temperatures correspond to differently adapted catalysts. After determining the catalysts, the target engine can be hydrothermally aged using the corresponding catalysts at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging.

[0119] In a specific implementation, the post-treatment catalyst of the engine model (e.g., diesel oxidation catalyst (DOC) + diesel particulate filter (DPF) + selective catalytic reduction (SCR) + ammonia slip catalyst (ASC)) can be selected for hydrothermal aging in different ways, by controlling the hydrothermal aging time and temperature as variable values; for example:

[0120] Hydrothermal aging method 1: 650℃100h; 650℃200h; 650℃300h; 650℃400h; 650℃500h

[0121] Hydrothermal aging method 2: 750℃50h; 750℃100h; 750℃150h; 750℃200h;

[0122] Hydrothermal aging method 3: 800℃25h; 800℃50h; 800℃75h; 800℃100h;

[0123] Step S22: packaging the aged engine to obtain a packaged engine, and performing a WHTC cycle emission test on the packaged engine on an engine bench to obtain test bench emission data.

[0124] It can be understood that by packaging the aged engine, a packaged engine can be obtained, and then the packaged engine can be tested on an engine bench in the World Harmonized Heavy Duty Vehicle Cycle (WHTC) cycle emission test to obtain test bench emission data.

[0125] In the specific implementation, after aging, rapid packaging can be used to prevent the engine from further oxidation or contamination by external pollutants in the subsequent process. Then, the WHTC cycle emissions are tested on the engine bench, and the following data are obtained:

[0126] Aging temperature / time 0 100 200 300 400 500 650℃ 0.253 0.271 0.292 0.324 0.335 0.378 Aging temperature / time 0 50 100 150 200 250 750℃ 0.253 0.322 0.361 0.376 0.454 0.509 Aging temperature / time 0 25 50 75 100 125 800℃ 0.253 0.379 0.441 0.532 0.678 0.798

[0127] Step S23: performing linear fitting on the test emission data to obtain an aging emission trend.

[0128] It should be understood that by performing linear fitting on the obtained test emission data, the aging emission trend can be obtained.

[0129] In the specific implementation, refer to Figure 6 , Figure 6 Schematic diagram of linear fitting of aging in the vehicle durability and hydrothermal aging analysis method of the present invention, as shown in Figure 6 As shown, the horizontal axis is the hydrothermal aging time at different hydrothermal temperatures, and the vertical axis is the NOx emission value of the bench test after hydrothermal aging. Three linear equations can be obtained: y=0.00047x+0.16005; y=0.00139x+0.17710; y=0.00504x+0.17740; according to the current big data analysis, when the vehicle reaches 70w kilometers, the tail emission is 0.453g / Kwh; and then the specific aging conditions are inferred to be more appropriate based on the tail emission of 0.453g / kwh (the emission expected to be achieved at 70w kilometers); for example:

[0130] Aging temperature / time formula When y=0.453 650℃ y=0.00047x+0.16005 x=623h Aging temperature / time When y=0.453 750℃ y=0.00139x+0.17710 x=198.5h Aging temperature / time When y=0.453 800℃ y=0.00504x+0.17740 x=54.7h

[0131] Through the above scheme, this embodiment obtains an aged engine after hydrothermal aging by hydrothermally aging the target engine at different hydrothermal aging times and different hydrothermal aging temperatures; the aged engine is packaged to obtain a packaged engine, and the packaged engine is tested on an engine bench for WHTC cycle emissions to obtain test bench emission data; the test emission data is linearly fitted to obtain an aging emission trend, which can quickly and accurately determine the aging emission trend, shorten the development cycle, save bench resources, and make up for the differences between various vehicle models. At the same time, based on this fitting, it is more accurate to judge the hydrothermal aging condition, and different hydrothermal aging conditions can be fitted, thereby effectively controlling the development cycle.

[0132] Accordingly, the present invention further provides a vehicle durability and hydrothermal aging analysis device.

[0133] Reference Figure 7 , Figure 7 This is a functional module diagram of the first embodiment of the vehicle durability and hydrothermal aging analysis device of the present invention.

[0134] In the first embodiment of the vehicle durability and hydrothermal aging analysis device of the present invention, the vehicle durability and hydrothermal aging analysis device comprises:

[0135] The tail exhaust linear fitting module 10 is used to obtain the tail exhaust emission data and actual running mileage data of all target vehicle models matched with the target engine, perform linear fitting on the tail exhaust emission data and the actual running mileage data, and obtain the tail exhaust trend.

[0136] The aging linear fitting module 20 is used to obtain the test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, perform linear fitting on the test emission data, and obtain the aging emission trend.

[0137] The analysis module 30 is used to determine the current hydrothermal aging condition according to the tail exhaust trend and the aging emission trend, and use the current hydrothermal aging condition as the hydrothermal aging development standard of the target engine.

[0138] The tail exhaust linear fitting module 10 is also used to obtain emission data and driving data of each vehicle model through the vehicle-mounted T-BOX; determine all target vehicle models matching the target engine, extract the tail exhaust emission data corresponding to all the target vehicle models from the emission data, and extract the actual running mileage data corresponding to all the target vehicle models from the driving data; perform linear fitting on the tail exhaust emission data and the actual running mileage data to obtain the tail exhaust trend.

[0139] The tail exhaust linear fitting module 10 is also used to perform linear fitting on the tail exhaust emission data and the actual running mileage data to obtain a linear equation of tail exhaust NOx and mileage, and determine the tail exhaust trend according to the linear equation.

[0140] The tail exhaust linear fitting module 10 is also used to perform linear fitting on the tail exhaust emission data and the actual running mileage data to obtain a linear fitting graph after linear fitting; filter out discrete values ​​in the linear fitting graph to obtain a tail exhaust trend line; obtain a linear equation of tail exhaust NOx and mileage based on the tail exhaust trend line, and determine the tail exhaust trend based on the linear equation.

[0141] The aging linear fitting module 20 is also used to perform hydrothermal aging on the target engine at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging; package the aged engine to obtain a packaged engine, and perform a WHTC cycle emission test on the packaged engine on an engine bench to obtain test bench emission data; perform linear fitting on the test emission data to obtain an aging emission trend.

[0142] The aging linear fitting module 20 is also used to obtain catalysts adapted at different hydrothermal aging times and different hydrothermal aging temperatures; the target engine is hydrothermally aged using the corresponding catalysts at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging.

[0143] The analysis module 30 is further used to determine the current hydrothermal aging condition corresponding to the optimal tail emission value of each target vehicle model according to the tail emission trend and the aging emission trend; and use the current hydrothermal aging condition as the hydrothermal aging development standard of the target engine.

[0144] Among them, the steps implemented by each functional module of the whole vehicle durability and hydrothermal aging analysis device can refer to the various embodiments of the whole vehicle durability and hydrothermal aging analysis method of the present invention, and will not be repeated here.

[0145] In addition, an embodiment of the present invention further provides a storage medium, on which a vehicle durability and hydrothermal aging analysis program is stored. When the vehicle durability and hydrothermal aging analysis program is executed by a processor, the following operations are implemented:

[0146] Acquire tail emission data and actual running mileage data of all target vehicle models matched with the target engine, perform linear fitting on the tail emission data and the actual running mileage data, and obtain tail emission trends;

[0147] Acquire the test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, perform linear fitting on the test emission data, and obtain the aging emission trend;

[0148] The current hydrothermal aging condition is determined according to the tail exhaust trend and the aging emission trend, and the current hydrothermal aging condition is used as the hydrothermal aging development standard of the target engine.

[0149] Furthermore, when the vehicle durability and hydrothermal aging analysis program is executed by the processor, the following operations are also implemented:

[0150] Obtain emission and driving data of each vehicle model through the vehicle-mounted T-BOX;

[0151] Determine all target vehicle models that match the target engine, extract tail emission data corresponding to all target vehicle models from the emission data, and extract actual running mileage data corresponding to all target vehicle models from the driving data;

[0152] The tail emission data and the actual running mileage data are linearly fitted to obtain the tail emission trend.

[0153] Furthermore, when the vehicle durability and hydrothermal aging analysis program is executed by the processor, the following operations are also implemented:

[0154] The tail emission data and the actual running mileage data are linearly fitted to obtain a linear equation of tail emission NOx and mileage, and the tail emission trend is determined according to the linear equation.

[0155] Furthermore, when the vehicle durability and hydrothermal aging analysis program is executed by the processor, the following operations are also implemented:

[0156] Performing linear fitting on the tail emission data and the actual running mileage data to obtain a linear fitting graph after linear fitting;

[0157] Filter out discrete values ​​in the linear fitting graph to obtain a tail trend line;

[0158] A linear equation of tail exhaust NOx and mileage is obtained according to the tail exhaust trend line, and the tail exhaust trend is determined according to the linear equation.

[0159] Furthermore, when the vehicle durability and hydrothermal aging analysis program is executed by the processor, the following operations are also implemented:

[0160] Performing hydrothermal aging on the target engine at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging;

[0161] Packaging the aged engine to obtain a packaged engine, and performing a WHTC cycle emission test on the packaged engine on an engine bench to obtain test bench emission data;

[0162] The test emission data is linearly fitted to obtain the aging emission trend.

[0163] Furthermore, when the vehicle durability and hydrothermal aging analysis program is executed by the processor, the following operations are also implemented:

[0164] Obtaining catalysts suitable for different hydrothermal aging times and different hydrothermal aging temperatures;

[0165] The target engine is hydrothermally aged by using corresponding catalysts at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging.

[0166] Furthermore, when the vehicle durability and hydrothermal aging analysis program is executed by the processor, the following operations are also implemented:

[0167] Determining the current hydrothermal aging condition corresponding to the optimal tail emission value of each target vehicle model according to the tail emission trend and the aging emission trend;

[0168] The current hydrothermal aging conditions are used as the hydrothermal aging development standard for the target engine.

[0169] Those skilled in the art will appreciate that all or part of the steps in the above-mentioned implementation method can be accomplished by instructing related hardware through a program, and the program is stored in a storage medium, including a number of instructions for enabling a device (which may be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each implementation method of the present application; and the aforementioned storage medium is a computer-readable storage medium, including: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes.

[0170] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0171] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0172] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A vehicle durability and hydrothermal aging analysis method, characterized in that: The vehicle durability and hydrothermal aging analysis method comprises: Acquire tail emission data and actual running mileage data of all target vehicle models matched with the target engine, perform linear fitting on the tail emission data and the actual running mileage data, and obtain tail emission trends; Acquire the test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, perform linear fitting on the test emission data, and obtain the aging emission trend; The current hydrothermal aging condition is determined according to the tail exhaust trend and the aging emission trend, and the current hydrothermal aging condition is used as the hydrothermal aging development standard of the target engine.

2. The vehicle durability and hydrothermal aging analysis method according to claim 1, characterized in that: The step of obtaining tail emission data and actual running mileage data of all target vehicle models matched with the target engine, performing linear fitting on the tail emission data and the actual running mileage data, and obtaining a tail emission trend includes: Obtain emission and driving data of each vehicle model through the vehicle-mounted T-BOX; Determine all target vehicle models that match the target engine, extract tail emission data corresponding to all target vehicle models from the emission data, and extract actual running mileage data corresponding to all target vehicle models from the driving data; The tail emission data and the actual running mileage data are linearly fitted to obtain the tail emission trend.

3. The vehicle durability and hydrothermal aging analysis method according to claim 2, characterized in that: The linear fitting of the tail emission data and the actual running mileage data to obtain the tail emission trend includes: The tail emission data and the actual running mileage data are linearly fitted to obtain a linear equation of tail emission NOx and mileage, and the tail emission trend is determined according to the linear equation.

4. The vehicle durability and hydrothermal aging analysis method according to claim 3, characterized in that: The step of performing linear fitting on the tail emission data and the actual running mileage data to obtain a linear equation of tail emission NOx and mileage, and determining the tail emission trend according to the linear equation includes: Performing linear fitting on the tail emission data and the actual running mileage data to obtain a linear fitting graph after linear fitting; Filter out discrete values ​​in the linear fitting graph to obtain a tail trend line; A linear equation of tail exhaust NOx and mileage is obtained according to the tail exhaust trend line, and the tail exhaust trend is determined according to the linear equation.

5. The vehicle durability and hydrothermal aging analysis method according to claim 1, characterized in that: The step of obtaining the test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, performing linear fitting on the test emission data, and obtaining the aging emission trend comprises: Performing hydrothermal aging on the target engine at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging; Packaging the aged engine to obtain a packaged engine, and performing a WHTC cycle emission test on the packaged engine on an engine bench to obtain test bench emission data; The test emission data is linearly fitted to obtain the aging emission trend.

6. The vehicle durability and hydrothermal aging analysis method according to claim 5, characterized in that: The hydrothermal aging of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging comprises: Obtaining catalysts suitable for different hydrothermal aging times and different hydrothermal aging temperatures; The target engine is hydrothermally aged by using corresponding catalysts at different hydrothermal aging times and different hydrothermal aging temperatures to obtain an aged engine after hydrothermal aging.

7. The vehicle durability and hydrothermal aging analysis method according to claim 1, characterized in that: The determining of the current hydrothermal aging condition according to the tail exhaust trend and the aging emission trend, and using the current hydrothermal aging condition as the hydrothermal aging development standard of the target engine, comprises: Determining the current hydrothermal aging condition corresponding to the optimal tail emission value of each target vehicle model according to the tail emission trend and the aging emission trend; The current hydrothermal aging conditions are used as the hydrothermal aging development standard for the target engine.

8. A vehicle durability and hydrothermal aging analysis device, characterized in that: The vehicle durability and hydrothermal aging analysis device comprises: A tail emission linear fitting module is used to obtain tail emission data and actual running mileage data of all target vehicle models matched with a target engine, perform linear fitting on the tail emission data and the actual running mileage data, and obtain a tail emission trend; An aging linear fitting module is used to obtain the test bench emission data of the target engine at different hydrothermal aging times and different hydrothermal aging temperatures, perform linear fitting on the test emission data, and obtain an aging emission trend; The analysis module is used to determine the current hydrothermal aging condition according to the tail exhaust trend and the aging emission trend, and use the current hydrothermal aging condition as the hydrothermal aging development standard of the target engine.

9. A vehicle durability and hydrothermal aging analysis equipment, characterized in that: The whole vehicle durability and hydrothermal aging analysis equipment comprises: a memory, a processor, and a whole vehicle durability and hydrothermal aging analysis program stored in the memory and executable on the processor, wherein the whole vehicle durability and hydrothermal aging analysis program is configured to implement the steps of the whole vehicle durability and hydrothermal aging analysis method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a vehicle durability and hydrothermal aging analysis program, which, when executed by the processor, implements the steps of the vehicle durability and hydrothermal aging analysis method as described in any one of claims 1 to 7.

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