Performance evaluation method and device of particulate matter trap, vehicle and storage medium

Abstract

The invention relates to the technical field of automobile emission testing, in particular to a performance evaluation method and device for a particulate matter trap, a vehicle and a storage medium, and the method comprises the steps: obtaining the state of a vehicle-mounted diagnostic system fault indicator lamp of a current to-be-tested vehicle; if the vehicle-mounted diagnosis system fault indicating lamp state is in an off state, sampling tail gas of the current to-be-tested vehicle for multiple times based on preset particle emission testing equipment to obtain multiple sampling results; and calculating an arithmetic mean value of the plurality of sampling results, and obtaining a performance evaluation result of the particulate matter trap of the current to-be-tested vehicle according to an interval in which the arithmetic mean value is located. Therefore, the problems of inaccurate performance evaluation of the particulate matter trap and the like caused by low test precision and tedious test process of a test method in related technologies are solved, and the performance of the vehicle-mounted particulate matter trap is accurately and efficiently evaluated under the condition that the particulate matter trap is not disassembled.

Description

Technical Field

[0001] The present application relates to the technical field of automobile emission testing, and in particular to a performance evaluation method, device, vehicle and storage medium for a particulate matter collector. Background Art

[0002] With the acceleration of urbanization, the number of mobile sources in my country has shown an annual growth rate of more than 10%, posing a severe challenge to air quality and sustainable urban development. Heavy-duty diesel vehicles and non-road mobile machinery are the main contributors to urban mobile source emissions. They emit huge amounts of nitrogen oxides and particulate matter, which have a particularly significant impact on air quality. Research on how to effectively control particulate matter emissions from heavy-duty diesel vehicles and non-road mobile machinery is a focus of current environmental protection work.

[0003] The Diesel Particulate Filter (DPF) post-treatment system is currently the mainstream particle reduction technology equipment in the world. The theoretical particle filtration efficiency of DPF post-treatment equipment can reach more than 90%, which can effectively reduce the particle emission of heavy-duty vehicles, so it is widely used in the particle emission reduction of heavy-duty vehicles and non-road mobile machinery. However, since the exhaust smoke density of heavy-duty vehicles and non-road mobile machinery equipped with DPF post-treatment systems is reduced, the existing opaque smoke test method cannot accurately evaluate the performance of DPF.

[0004] In the related technology, at present, there are two methods for detecting heavy vehicles equipped with DPF: parking emission inspection and remote sensing test. However, stopping the vehicle for inspection not only consumes a lot of human resources, but also easily causes traffic congestion. Remote sensing test, as an emerging alternative method, saves time and effort and can quickly measure vehicle smoke emissions, but its precision and accuracy are still insufficient compared to traditional methods, and it is in urgent need of improvement and optimization. As for the emission inspection of non-road mobile machinery equipped with DPF, the engine has always been used as the inspection object to test emissions on the engine bench. This test method cannot accurately evaluate the actual emission of the engine after matching the machinery, and the engine test requires more complex test equipment and fixed test laboratories, and cannot judge the performance of the actual installed DPF, which urgently needs to be solved. Summary of the invention

[0005] The present application provides a performance evaluation method, device, vehicle and storage medium for a particulate matter collector to solve the problems of low test accuracy and cumbersome test process in the related art, which leads to inaccurate performance evaluation of the particulate matter collector. It realizes accurate and efficient performance evaluation of the vehicle-mounted particulate matter collector without disassembling the particulate matter collector.

[0006] The first embodiment of the present application provides a performance evaluation method for a particle collector, comprising the following steps:

[0007] Get the fault indicator light status of the on-board diagnostic system of the vehicle to be tested;

[0008] If the fault indicator light of the on-board diagnostic system is off, the exhaust gas of the current vehicle to be tested is sampled multiple times based on a preset particulate emission test device to obtain multiple sampling results;

[0009] An arithmetic mean of the plurality of sampling results is calculated, and a performance evaluation result of the particulate matter trap of the current vehicle to be tested is obtained according to an interval in which the arithmetic mean is located.

[0010] According to an embodiment of the present application, obtaining the performance evaluation result of the particle collector of the current vehicle to be tested according to the interval in which the arithmetic mean value is located includes:

[0011] If the arithmetic mean value is less than a first preset threshold value, determining that the performance evaluation result is that the performance of the particulate matter trap is in a first performance state;

[0012] If the arithmetic mean is greater than or equal to the first preset threshold value, and the arithmetic mean is less than a second preset threshold value, it is determined that the performance evaluation result is that the performance of the particulate matter trap is in a second performance state, wherein the performance of the second performance state is lower than the performance of the first performance state;

[0013] If the arithmetic mean is greater than or equal to the second preset threshold value, and the arithmetic mean is less than a third preset threshold value, it is determined that the performance evaluation result is that the performance of the particulate matter trap is in a third performance state, wherein the performance of the third performance state is lower than the performance of the second performance state;

[0014] If the arithmetic mean is greater than or equal to the third preset threshold, the performance evaluation result is determined to be that the performance of the particulate matter trap is in a fourth performance state, wherein the performance of the fourth performance state is lower than the performance of the third performance state.

[0015] According to one embodiment of the present application, the first preset threshold is:

[0016]

[0017] in, is the first preset threshold, is the particle number concentration limit required by emission regulations, ρ Abgas is the air density, b e is the comprehensive fuel consumption rate of the diesel engine, λ is the excess air coefficient, L th is the theoretical air-fuel ratio.

[0018] According to an embodiment of the present application, before obtaining the performance evaluation result of the particle trap of the current vehicle to be tested according to the interval where the arithmetic mean value is located, the method further includes:

[0019] Calculating the product of the first preset threshold and a first correction coefficient;

[0020] The third preset threshold is obtained according to the ratio of the product to the second correction coefficient.

[0021] According to one embodiment of the present application, after obtaining the fault indicator light status of the on-board diagnostic system of the current vehicle to be tested, the method further includes:

[0022] If the fault indicator light of the on-board diagnostic system is on, obtaining the fault code of the current vehicle to be tested;

[0023] A maintenance reminder is generated based on the fault code.

[0024] According to an embodiment of the present application, the preset particulate emission test equipment performs multiple sampling of the exhaust gas of the current vehicle to be tested, including:

[0025] Determine whether the current vehicle to be tested meets the preset sampling conditions;

[0026] If the current vehicle to be tested meets the preset sampling condition, the exhaust gas of the current vehicle to be tested is sampled multiple times.

[0027] According to one embodiment of the present application, the preset sampling condition is:

[0028] The engine of the current vehicle to be tested is in a preset idle speed state, and the duration of the engine being in the preset idle speed state reaches a preset duration.

[0029] According to the performance evaluation method of the particle trap provided by the embodiment of the present application, when the fault indicator light of the on-board diagnostic system of the current vehicle to be tested is off, the exhaust gas of the current vehicle to be tested is sampled multiple times based on the preset particle emission test equipment to obtain multiple sampling results; the arithmetic mean of the multiple sampling results is calculated, and the performance evaluation result of the particle trap of the current vehicle to be tested is obtained according to the interval in which the arithmetic mean is located. Thus, the problems of low test accuracy and cumbersome test process leading to inaccurate performance evaluation of the particle trap in the related technology are solved, and the performance of the on-board particle trap can be accurately and efficiently evaluated without disassembling the particle trap.

[0030] A second aspect of the present application provides a performance evaluation device for a particle collector, comprising:

[0031] An acquisition module is used to obtain the fault indicator light status of the on-board diagnostic system of the vehicle to be tested;

[0032] A sampling module, for sampling the exhaust gas of the current vehicle to be tested multiple times based on a preset particulate emission test device to obtain multiple sampling results if the fault indicator light of the on-board diagnostic system is off;

[0033] The evaluation module is used to calculate the arithmetic mean of the multiple sampling results, and obtain the performance evaluation result of the particle collector of the current vehicle to be tested according to the interval in which the arithmetic mean is located.

[0034] According to one embodiment of the present application, the evaluation module is used to:

[0035] If the arithmetic mean value is less than a first preset threshold value, determining that the performance evaluation result is that the performance of the particulate matter trap is in a first performance state;

[0036] If the arithmetic mean is greater than or equal to the first preset threshold value, and the arithmetic mean is less than a second preset threshold value, it is determined that the performance evaluation result is that the performance of the particulate matter trap is in a second performance state, wherein the performance of the second performance state is lower than the performance of the first performance state;

[0037] If the arithmetic mean is greater than or equal to the second preset threshold value, and the arithmetic mean is less than a third preset threshold value, it is determined that the performance evaluation result is that the performance of the particulate matter trap is in a third performance state, wherein the performance of the third performance state is lower than the performance of the second performance state;

[0038] If the arithmetic mean is greater than or equal to the third preset threshold, the performance evaluation result is determined to be that the performance of the particulate matter trap is in a fourth performance state, wherein the performance of the fourth performance state is lower than the performance of the third performance state.

[0039] According to one embodiment of the present application, the first preset threshold is:

[0040]

[0041] in, is the first preset threshold, is the particle number concentration limit required by emission regulations, ρ Abgas is the air density, b e is the comprehensive fuel consumption rate of the diesel engine, λ is the excess air coefficient, L th is the theoretical air-fuel ratio.

[0042] According to an embodiment of the present application, before obtaining the performance evaluation result of the particle collector of the current vehicle to be tested according to the interval where the arithmetic mean value is located, the evaluation module is further used to:

[0043] Calculating the product of the first preset threshold and a first correction coefficient;

[0044] The third preset threshold is obtained according to the ratio of the product to the second correction coefficient.

[0045] According to one embodiment of the present application, after obtaining the status of the fault indicator light of the on-board diagnostic system of the current vehicle to be tested, the obtaining module is further used to:

[0046] If the fault indicator light of the on-board diagnostic system is on, obtaining the fault code of the current vehicle to be tested;

[0047] A maintenance reminder is generated based on the fault code.

[0048] According to one embodiment of the present application, the sampling module is used to:

[0049] Determine whether the current vehicle to be tested meets the preset sampling conditions;

[0050] If the current vehicle to be tested meets the preset sampling condition, the exhaust gas of the current vehicle to be tested is sampled multiple times.

[0051] According to one embodiment of the present application, the preset sampling condition is:

[0052] The engine of the current vehicle to be tested is in a preset idle speed state, and the duration of the engine being in the preset idle speed state reaches a preset duration.

[0053] According to the performance evaluation device for the particle trap provided by the embodiment of the present application, when the fault indicator light of the on-board diagnostic system of the current vehicle to be tested is off, the exhaust gas of the current vehicle to be tested is sampled multiple times based on the preset particle emission test equipment to obtain multiple sampling results; the arithmetic mean of the multiple sampling results is calculated, and the performance evaluation result of the particle trap of the current vehicle to be tested is obtained according to the interval in which the arithmetic mean is located. Thus, the problems of low test accuracy of the test method in the related art and inaccurate performance evaluation of the particle trap caused by the cumbersome test process are solved, and the performance of the on-board particle trap can be accurately and efficiently evaluated without disassembling the particle trap.

[0054] A third aspect of the present application provides a vehicle, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the performance evaluation method of the particulate matter collector as described in the above embodiment.

[0055] A fourth aspect of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the performance evaluation method of the particulate matter collector as described in the above embodiment.

[0056] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0058] Figure 1 A flowchart of a method for evaluating the performance of a particle collector provided according to an embodiment of the present application;

[0059] Figure 2 A schematic diagram of a high idle speed detection process for a particulate matter trap performance test according to an embodiment of the present application;

[0060] Figure 3 is a block diagram of a performance evaluation device for a particulate matter collector according to an embodiment of the present application;

[0061] Figure 4 A schematic diagram of the structure of a vehicle provided in an embodiment of the present application. DETAILED DESCRIPTION

[0062] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0063] The following describes the performance evaluation method, device, vehicle and storage medium of the particle trap of the embodiment of the present application with reference to the accompanying drawings. In view of the problems mentioned in the above background technology, such as the low test accuracy of the test method and the cumbersome test process leading to inaccurate performance evaluation of the particle trap, the present application provides a performance evaluation method for a particle trap. In the method, when the fault indicator light of the on-board diagnostic system of the current vehicle to be tested is off, the exhaust gas of the current vehicle to be tested is sampled multiple times based on the preset particle emission test equipment to obtain multiple sampling results; the arithmetic mean of the multiple sampling results is calculated, and the performance evaluation result of the particle trap of the current vehicle to be tested is obtained according to the interval in which the arithmetic mean is located. As a result, the problems of the low test accuracy of the test method and the cumbersome test process leading to inaccurate performance evaluation of the particle trap in the related technology are solved, and the performance of the on-board particle trap can be accurately and efficiently evaluated without disassembling the particle trap.

[0064] Specifically, Figure 1 A schematic flow chart of a method for evaluating the performance of a particulate matter collector provided in an embodiment of the present application.

[0065] like Figure 1 As shown, the performance evaluation method of the particle collector includes the following steps:

[0066] In step S101, the state of the fault indicator light of the on-board diagnostic system of the current vehicle to be tested is obtained.

[0067] The status of the fault indicator light of the on-board diagnostic system of the vehicle to be tested currently includes an off state and a lit state.

[0068] Specifically, the embodiment of the present application first checks the condition of the current vehicle to be tested. A person skilled in the art can visually check the dashboard of the current vehicle to be tested to obtain the status of the fault indicator light of the on-board diagnostic system of the current vehicle to be tested, that is, to confirm whether the OBD (On-Board Diagnostics) fault indicator light is on. If the malfunction indicator light (MIL) is on, it indicates that the emission control system of the current vehicle to be tested has detected an abnormality. If the OBD fault indicator light works normally and remains off, and there is no fault code related to emissions, it indicates that the current vehicle to be tested is in normal working condition.

[0069] Furthermore, in some embodiments, after obtaining the status of the fault indicator light of the on-board diagnostic system of the current vehicle to be tested, it also includes: if the status of the fault indicator light of the on-board diagnostic system is on, obtaining the fault code of the current vehicle to be tested; and generating a maintenance reminder based on the fault code.

[0070] It is understandable that if the on-board diagnostic system fault indicator light is on, it indicates that an abnormality has been detected in the emission control system of the current vehicle to be tested. The OBD diagnostic tool can be used to check and find the vehicle's OBD-II (second-generation on-board diagnostic system) port. Use an OBD-II scan tool or dedicated diagnostic software to connect to the OBD-II port. Use the diagnostic tool to read the diagnostic trouble codes (DTCs, Diagnostic Trouble Codes) and freeze frame data stored in the computer of the current vehicle to be tested. The diagnostic trouble codes can help identify the specific status of the vehicle when the fault occurs.

[0071] Furthermore, a corresponding maintenance reminder is generated based on the fault code, and the reminder method can be an acoustic reminder or an optical reminder to inform the user of the specific fault condition of the vehicle, so that the user can take corresponding maintenance measures.

[0072] Specifically, technical personnel in this field can analyze the faults detected by visual inspection and OBD diagnostic tools based on maintenance reminders, and check related emission control system components such as oxygen sensors, catalytic converters, EVAP systems, fuel systems, etc. based on diagnostic fault codes. After performing necessary repairs or replacing parts, use diagnostic tools to clear fault codes, thereby ensuring that the OBD fault indicator light works properly and remains off, and there are no emission-related fault codes.

[0073] In step S102, if the fault indicator light of the on-board diagnostic system is off, multiple sampling of the exhaust gas of the current vehicle to be tested is performed based on a preset particulate emission test device to obtain multiple sampling results.

[0074] The preset particle emission test equipment shall include a particle counter, an operation terminal and a report printing device. The preset particle emission equipment shall also have continuous sampling capability and be able to continuously measure the number of particles in vehicle exhaust.

[0075] In order to reduce the impact of background particles on the sampled gas, the air used for dilution must be filtered through a High Efficiency Particulate Air (HEPA) filter before it can be used for dilution. In order to reduce and stabilize the concentration of hydrocarbons in the dilution air, activated carbon should be used to filter the dilution air before it passes through the HEPA filter paper.

[0076] Optionally, technical parameters such as environmental applicability, detection particle size range, detection particle number range and device response time of the preset particle emission equipment in the embodiment of the present application can be set to meet the technical parameters shown in Table 1.

[0077] Table 1

[0078]

[0079] Illustratively, the embodiments of the present application can select appropriate testing equipment as the preset particle emission equipment according to the specification requirements of the particle emission testing equipment in the above table, such as the 3795 Nanosizer Particle Emission Tester (NPET), which is not specifically limited here.

[0080] Furthermore, after selecting the preset particle emission device, the embodiment of the present application needs to install the preset particle emission device to the current vehicle to be tested, insert the detection probe into the exhaust pipe of the current vehicle to be tested, and fix it using the clamp provided by the preset particle emission device.

[0081] Further, in some embodiments, the exhaust gas of the current vehicle to be tested is sampled multiple times based on the preset particulate emission test equipment, including: determining whether the current vehicle to be tested meets the preset sampling conditions; if the current vehicle to be tested meets the preset sampling conditions, the exhaust gas of the current vehicle to be tested is sampled multiple times. The preset sampling conditions are: the engine of the current vehicle to be tested is in a preset idle speed state, and the duration of the engine being in the preset idle speed state reaches a preset duration.

[0082] Optionally, the preset idle speed state may be that the engine speed of the current vehicle to be tested is between 2000 and 2500 revolutions per minute, and the preset duration may be a duration preset by a person skilled in the art, such as 15 seconds, which is not specifically limited here.

[0083] Specifically, after the detection probe is inserted into the exhaust pipe of the vehicle to be tested and fixed using the preset particulate emission device's built-in clamp, the vehicle driver puts the gear lever in the neutral position and fully depresses the accelerator pedal until the engine speed reaches the high idle state (the preset idle speed state), and then the test can begin.

[0084] For example, Figure 2 As shown, Figure 2 In the high idle speed test process for the performance test of the heavy-duty and non-road vehicle particulate matter collector, the exhaust gas of the current vehicle to be tested is not sampled within the first 15 seconds of the test, mainly for exhaust pipe carbon deposit purging, and sampling is performed after the exhaust is stable. The sampling duration of the embodiment of the present application is 5 seconds, and the next sampling is performed after an interval of 5 seconds. A total of 3 samplings are completed within 40 seconds, that is, 3 sampling results are obtained, wherein each sampling result takes the maximum value of the number of particles measured in a single sampling process.

[0085] In step S103, the arithmetic mean of the plurality of sampling results is calculated, and the performance evaluation result of the particle collector of the current vehicle to be tested is obtained according to the interval in which the arithmetic mean is located.

[0086] For example, taking the above-mentioned three samplings completed within 40 seconds to obtain three sampling results as an example, the arithmetic mean of the three sampling results is calculated, and the performance evaluation result of the particulate matter collector of the current vehicle to be tested is obtained according to the interval in which the arithmetic mean lies.

[0087] Further, in some embodiments, a performance evaluation result of the particulate matter collector of the current vehicle to be tested is obtained according to the interval in which the arithmetic mean is located, including: if the arithmetic mean is less than a first preset threshold value, then the performance evaluation result is determined to be that the performance of the particulate matter collector is in a first performance state; if the arithmetic mean is greater than or equal to the first preset threshold value, and the arithmetic mean is less than the second preset threshold value, then the performance evaluation result is determined to be that the performance of the particulate matter collector is in a second performance state, wherein the performance of the second performance state is lower than the performance of the first performance state; if the arithmetic mean is greater than or equal to the second preset threshold value, and the arithmetic mean is less than the third preset threshold value, then the performance evaluation result is determined to be that the performance of the particulate matter collector is in a third performance state, wherein the performance of the third performance state is lower than the performance of the second performance state; if the arithmetic mean is greater than or equal to the third preset threshold value, then the performance evaluation result is determined to be that the performance of the particulate matter collector is in a fourth performance state, wherein the performance of the fourth performance state is lower than the performance of the third performance state.

[0088] It should be noted that the diesel particulate filter DPF is a post-treatment carrier composed of honeycomb ceramic materials. The overall shape of the carrier is a porous cylinder, and the exhaust gas of the engine can pass through the wall of the small holes inside the carrier while the particles are retained in the small holes. The wall-flow particulate filter has the advantages of large flow area, small back pressure and small leakage. The main ways of DPF particle capture are Brownian diffusion, direct interception and inertial collision. Under the combined effect of these three mechanisms, the capture efficiency of DPF can be as high as 99%, reducing the number of automobile exhaust particles by 2 orders of magnitude. The basis for evaluating the working efficiency of DPF is the filtration efficiency, that is, how many particles the DPF filters out. The current method for calculating the filtration efficiency of DPF is to test the number of particles (PN, Particle Number) upstream and downstream of the DPF, and then calculate it according to the following formula:

[0089]

[0090] DFP 下游颗粒数 DFP is the amount of particulate matter before the exhaust gas from the engine reaches the DPF. 上游颗粒数 It is the amount of particulate matter remaining in the exhaust gas after being treated by DPF.

[0091] According to the results of many studies, it is generally believed that the exhaust particulate matter emissions of diesel engines using electronically controlled high-pressure common rail and supercharging technology are between 1.3-4.1×10 13 # / kWh, after DPF filtration and reasonable calibration of the original exhaust, it can reach 6×10 11 # / kWh, which is also the particle number limit for National VI and Euro VI diesel engines installed in heavy-duty vehicles. A large number of tests have been conducted at home and abroad to verify this limit, and the limit is sufficiently robust. Due to engine installation errors, production consistency, and test errors, the actual heavy-duty vehicles and non-road mobile machinery have a looser particle number emission limit than the engine bench, which is 1.2×10 12 # / kWh, this limit is the particulate matter emission limit for heavy-duty vehicle PEMS testing, which has also been verified by a large number of tests and is sufficiently robust.

[0092] Among them, 6×10 11 The # / kwh limit unit includes engine power, but it is difficult to measure engine power, so it is not suitable for use in test scenarios of vehicles and machinery in use. In order to solve this problem, an estimation formula is used in the embodiment of the present application to bring the average value of the engine operation into the calculation. Since the PN limit is applied in the engine transient test cycle and is the limit of the cycle average emission, the application of the average value of the engine operation is fully reasonable in principle. The conversion formula between the bench limit and the direct-sourced value is as follows:

[0093]

[0094] in, Direct sampling number concentration for the preset particle emission test equipment, is the particle number concentration limit required by emission regulations, ρ Abgas is the air density, b e is the comprehensive fuel consumption rate of the diesel engine, λ is the excess air coefficient, L th is the theoretical air-fuel ratio.

[0095] Optionally, the particle number concentration limit required by emission regulations is set to 6×10 11 # / kwh, air density is 1.2934kg / m 3 , the diesel engine comprehensive fuel consumption rate is 215g / kwh, the excess air coefficient is 1.8, and the theoretical air-fuel ratio is 14.5. Substituting them into the above formula, the direct sampling value (i.e., the first preset threshold) is 1.32×10 5 # / cm 3 .

[0096] Furthermore, in some embodiments, before obtaining the performance evaluation result of the particulate matter collector of the current vehicle to be tested according to the interval in which the arithmetic mean is located, it also includes: calculating the product of the first preset threshold and the first correction coefficient; and obtaining the third preset threshold according to the ratio of the product to the second correction coefficient.

[0097] It is understandable that the embodiment of the present application takes into account the impact of matching in actual operations and the test errors caused by the substandard test environment, and therefore adds the first correction coefficient and the second correction coefficient.

[0098] Optionally, the first correction coefficient and the second correction coefficient are selected as shown in Table 2:

[0099] Table 2

[0100]

[0101] In Table 2, the first correction factor comes from the limit requirements of the heavy-duty vehicle PEMS (Portable Emission Measurement System) test. Since the PEMS equipment is installed on the vehicle / machine and tested under actual working conditions, the installation conditions and test environment of the equipment are non-standard environments, and the test error is increased. The first correction factor has been fully verified in Europe and has sufficient robustness. At the same time, considering that the PEMS equipment is installed on the vehicle and vibrates more, while the rapid detection equipment is generally placed on the ground and vibrates less, the data of the first correction factor is more conservative.

[0102] The second correction coefficient comes from the experience in the DPF post-processing industry and the results of a large number of tests: the filtration efficiency of a normally functioning DPF will not be less than 70%. Therefore, the embodiment of the present application selects 0.7 as the second correction coefficient.

[0103] Furthermore, the product of the first preset threshold and the first correction coefficient is calculated; the third preset threshold is obtained according to the ratio of the product and the second correction coefficient, and then the theoretical limit range of vehicle-borne particulate matter detection should be within the interval from the first preset threshold to the third preset threshold.

[0104] Taking the correction coefficient in Table 2 as an example, the third preset threshold can be obtained, that is, the particulate matter emission of a diesel-powered vehicle / machine with normal DPF operation should not be greater than 1.32×10 5 # / cm 3 ×2÷0.7=3.77×10 5 # / cm 3 , so the theoretical limit range of vehicle-borne particulate matter detection should be [1.32×10 5 , 3.77×10 5 ] within the range.

[0105] In addition, the embodiment of the present application fully considers the continuity of laws and regulations, the uniformity of test equipment, and the misjudgment rate of the detected object, and selects a second preset threshold value in the range from the first preset threshold value to the third preset threshold value, wherein the second preset threshold value can be 2.5×10 5 # / cm 3 .

[0106] Furthermore, a performance evaluation result of the particulate matter collector of the current vehicle to be tested is obtained based on the interval in which the arithmetic mean is located. If the arithmetic mean is less than a first preset threshold value, the performance evaluation result is determined to be that the performance of the particulate matter collector is in a first performance state; if the arithmetic mean is greater than or equal to the first preset threshold value, and the arithmetic mean is less than the second preset threshold value, the performance evaluation result is determined to be that the performance of the particulate matter collector is in a second performance state; if the arithmetic mean is greater than or equal to the second preset threshold value, and the arithmetic mean is less than the third preset threshold value, the performance evaluation result is determined to be that the performance of the particulate matter collector is in a third performance state; if the arithmetic mean is greater than or equal to the third preset threshold value, the performance evaluation result is determined to be that the performance of the particulate matter collector is in a fourth performance state.

[0107] In order to facilitate those skilled in the art to understand the performance judgment standard of the particulate matter collector in the embodiment of the present application, a detailed example is given below.

[0108] The first preset threshold is 1.32×10 5 # / cm 3 , the second preset threshold is 2.5×10 5 # / cm 3 , the second preset threshold is 3.77×10 5 # / cm 3 Taking this as an example, the performance criteria for heavy-duty and non-road vehicle particulate matter collectors are formulated based on the above content:

[0109] (1) The number of particles tested is less than 1.32×10 5 # / cm 3 , then the performance of the particulate matter collector is judged to be excellent;

[0110] (2) The number of particles tested is between 1.32×10 5 # / cm 3 Up to 2.5×10 5 # / cm 3 Between , the performance of the particulate matter collector is judged to be good;

[0111] (3) The number of particles tested is between 2.5×10 5 # / cm 3 to 3.77×10 5 # / cm3 Between, the performance of the particulate matter collector is judged to be medium;

[0112] (4) The number of particles tested is higher than 3.77×10 5 # / cm 3 , the particulate matter collector performance is judged to be poor.

[0113] Therefore, the performance evaluation method of the particulate matter collector proposed in this application is suitable for heavy-duty diesel vehicles and non-road mobile machinery equipped with wall-flow particulate matter collectors. It can directly measure the exhaust particulate matter number concentration of heavy-duty vehicles and non-road mobile machinery equipped with DPF after-treatment systems without stopping the vehicle. Based on the actual detection, a reasonable detection process is formulated and a reasonable particulate matter collector performance evaluation standard is determined based on a large amount of detection data, thereby achieving accurate and efficient evaluation of the performance of the vehicle-mounted particulate matter collector without disassembling the particulate matter collector.

[0114] According to the performance evaluation method of the particulate matter trap proposed in the embodiment of the present application, when the fault indicator light of the on-board diagnostic system of the current vehicle to be tested is off, the exhaust gas of the current vehicle to be tested is sampled multiple times based on the preset particulate emission test equipment to obtain multiple sampling results; the arithmetic mean of the multiple sampling results is calculated, and the performance evaluation result of the particulate matter trap of the current vehicle to be tested is obtained according to the interval in which the arithmetic mean is located. Thus, the problems of low test accuracy and cumbersome test process leading to inaccurate performance evaluation of particulate matter traps in the test methods in the related art are solved. According to the test method proposed in the present application, the performance test of the on-board particulate matter trap is completed, and the performance test of the heavy-duty and non-road vehicle-mounted particulate matter trap can be completed without disassembling the particulate matter trap, and the test accuracy is high and the test process is simple.

[0115] Next, a performance evaluation device for a particulate matter collector according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0116] Figure 3 It is a block diagram of a performance evaluation device for a particulate matter collector according to an embodiment of the present application.

[0117] like Figure 3 As shown, the performance evaluation device 10 of the particulate matter trap includes: an acquisition module 100 , a sampling module 200 and an evaluation module 300 .

[0118] Among them, the acquisition module 100 is used to obtain the state of the fault indicator light of the on-board diagnostic system of the current vehicle to be tested; the sampling module 200 is used to perform multiple sampling of the exhaust gas of the current vehicle to be tested based on the preset particulate emission testing equipment if the state of the fault indicator light of the on-board diagnostic system is in the off state, and obtain multiple sampling results; the evaluation module 300 is used to calculate the arithmetic mean of the multiple sampling results, and obtain the performance evaluation result of the particulate matter collector of the current vehicle to be tested according to the interval in which the arithmetic mean is located.

[0119] Further, in some embodiments, the evaluation module 300 is used to: if the arithmetic mean is less than a first preset threshold, determine that the performance evaluation result is that the performance of the particulate matter collector is in a first performance state; if the arithmetic mean is greater than or equal to the first preset threshold, and the arithmetic mean is less than the second preset threshold, determine that the performance evaluation result is that the performance of the particulate matter collector is in a second performance state, wherein the performance of the second performance state is lower than the performance of the first performance state; if the arithmetic mean is greater than or equal to the second preset threshold, and the arithmetic mean is less than the third preset threshold, determine that the performance evaluation result is that the performance of the particulate matter collector is in a third performance state, wherein the performance of the third performance state is lower than the performance of the second performance state; if the arithmetic mean is greater than or equal to the third preset threshold, determine that the performance evaluation result is that the performance of the particulate matter collector is in a fourth performance state, wherein the performance of the fourth performance state is lower than the performance of the third performance state.

[0120] Further, in some embodiments, the first preset threshold is:

[0121]

[0122] in, is the first preset threshold, is the particle number concentration limit required by emission regulations, ρ Abgas is the air density, b e is the comprehensive fuel consumption rate of the diesel engine, λ is the excess air coefficient, L th is the theoretical air-fuel ratio.

[0123] Furthermore, in some embodiments, before obtaining the performance evaluation result of the particulate matter collector of the current vehicle to be tested according to the interval in which the arithmetic mean is located, the evaluation module 300 is also used to: calculate the product of the first preset threshold and the first correction coefficient; and obtain the third preset threshold according to the ratio of the product to the second correction coefficient.

[0124] Furthermore, in some embodiments, after obtaining the status of the on-board diagnostic system fault indicator light of the current vehicle to be tested, the acquisition module 100 is also used to: if the status of the on-board diagnostic system fault indicator light is on, obtain the fault code of the current vehicle to be tested; and generate a maintenance reminder based on the fault code.

[0125] Furthermore, in some embodiments, the sampling module 200 is used to: determine whether the current vehicle to be tested meets the preset sampling conditions; if the current vehicle to be tested meets the preset sampling conditions, perform multiple sampling of the exhaust gas of the current vehicle to be tested.

[0126] Furthermore, in some embodiments, the preset sampling condition is that the engine of the vehicle to be tested is currently in a preset idle speed state, and the duration of the engine being in the preset idle speed state reaches a preset duration.

[0127] It should be noted that the above explanation of the embodiment of the performance evaluation method for a particulate matter collector is also applicable to the performance evaluation device for a particulate matter collector of this embodiment, and will not be repeated here.

[0128] According to the performance evaluation device for the particle trap proposed in the embodiment of the present application, when the fault indicator light of the on-board diagnostic system of the current vehicle to be tested is off, the exhaust gas of the current vehicle to be tested is sampled multiple times based on the preset particle emission test equipment to obtain multiple sampling results; the arithmetic mean of the multiple sampling results is calculated, and the performance evaluation result of the particle trap of the current vehicle to be tested is obtained according to the interval in which the arithmetic mean is located. Thus, the problems of low test accuracy of the test method in the related art and inaccurate performance evaluation of the particle trap caused by the cumbersome test process are solved, and the performance of the on-board particle trap can be accurately and efficiently evaluated without disassembling the particle trap.

[0129] Figure 4 A schematic diagram of the structure of a vehicle provided in an embodiment of the present application. The vehicle may include:

[0130] Memory 401 , processor 402 , and a computer program stored in the memory 401 and executable on the processor 402 .

[0131] When the processor 402 executes the program, the performance evaluation method of the particulate matter trap provided in the above embodiment is implemented.

[0132] Furthermore, the vehicle also includes:

[0133] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0134] The memory 401 is used to store computer programs that can be executed on the processor 402 .

[0135] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0136] If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the communication interface 403, the memory 401 and the processor 402 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0137] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0138] The processor 402 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0139] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for evaluating the performance of a particulate matter collector.

[0140] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0141] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0142] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0143] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0144] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0145] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0146] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0147] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for evaluating the performance of a particle collector, characterized in that: The following steps are involved: Get the fault indicator light status of the on-board diagnostic system of the vehicle to be tested; If the fault indicator light of the on-board diagnostic system is off, the exhaust gas of the current vehicle to be tested is sampled multiple times based on a preset particulate emission test device to obtain multiple sampling results; An arithmetic mean of the plurality of sampling results is calculated, and a performance evaluation result of the particulate matter trap of the current vehicle to be tested is obtained according to an interval in which the arithmetic mean is located.

2. The method according to claim 1, characterized in that The step of obtaining the performance evaluation result of the particle collector of the current vehicle to be tested according to the interval in which the arithmetic mean value is located includes: If the arithmetic mean value is less than a first preset threshold value, determining that the performance evaluation result is that the performance of the particulate matter trap is in a first performance state; If the arithmetic mean is greater than or equal to the first preset threshold value, and the arithmetic mean is less than a second preset threshold value, it is determined that the performance evaluation result is that the performance of the particulate matter trap is in a second performance state, wherein the performance of the second performance state is lower than the performance of the first performance state; If the arithmetic mean is greater than or equal to the second preset threshold value, and the arithmetic mean is less than a third preset threshold value, it is determined that the performance evaluation result is that the performance of the particulate matter trap is in a third performance state, wherein the performance of the third performance state is lower than the performance of the second performance state; If the arithmetic mean is greater than or equal to the third preset threshold, the performance evaluation result is determined to be that the performance of the particulate matter trap is in a fourth performance state, wherein the performance of the fourth performance state is lower than the performance of the third performance state.

3. The method according to claim 2, characterized in that The first preset threshold is: in, is the first preset threshold, is the particle number concentration limit required by emission regulations, ρ Abgas is the air density, b e is the comprehensive fuel consumption rate of the diesel engine, λ is the excess air coefficient, L th is the theoretical air-fuel ratio.

4. The method according to claim 2 or 3, characterized in that: Before obtaining the performance evaluation result of the particle trap of the current vehicle to be tested according to the interval where the arithmetic mean value is located, the method further includes: Calculating the product of the first preset threshold and a first correction coefficient; The third preset threshold is obtained according to the ratio of the product to the second correction coefficient.

5. The method according to claim 1, characterized in that After obtaining the fault indicator light status of the on-board diagnostic system of the current vehicle to be tested, it also includes: If the fault indicator light of the on-board diagnostic system is on, obtaining the fault code of the current vehicle to be tested; A maintenance reminder is generated based on the fault code.

6. The method according to claim 1, characterized in that The preset particulate emission test equipment is used to sample the exhaust gas of the current vehicle to be tested multiple times, including: Determining whether the current vehicle to be tested meets a preset sampling condition; If the current vehicle to be tested meets the preset sampling condition, the exhaust gas of the current vehicle to be tested is sampled multiple times.

7. The method according to claim 6, characterized in that The preset sampling conditions are: The engine of the vehicle to be tested is in a preset idle speed state, and the duration of the engine being in the preset idle speed state reaches a preset duration.

8. A performance evaluation device for a particle collector, characterized in that: include: An acquisition module is used to obtain the fault indicator light status of the on-board diagnostic system of the vehicle to be tested; A sampling module, for sampling the exhaust gas of the current vehicle to be tested multiple times based on a preset particulate emission test device to obtain multiple sampling results if the fault indicator light of the on-board diagnostic system is off; The evaluation module is used to calculate the arithmetic mean of the multiple sampling results, and obtain the performance evaluation result of the particle collector of the current vehicle to be tested according to the interval in which the arithmetic mean is located.

9. A vehicle, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the performance evaluation method for the particle trap according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the performance evaluation method of the particle trap according to any one of claims 1 to 7.

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