Selection method, device, equipment and storage medium for diesel particulate filter

Abstract

The present invention provides a method, device, equipment and storage medium for selecting a diesel particulate filter, relating to the field of automotive control technology. The method includes: when it is determined that the preset soot loading rate of the diesel particulate filter is met, obtaining the first pressure drop data, the first inlet temperature and the first inlet pressure of the DPF when reaching the preset carbon loading under two different load conditions; determining the first volume flow rate of the diesel particles entering the DPF according to the first inlet temperature and the first inlet pressure; drawing a first back pressure curve based on the first pressure drop data and the first volume flow rate, and determining a first linear equation based on the first back pressure curve; furthermore, determining the linearity of the DPF based on the first linear equation, where the linearity is used for DPF selection. The smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particulate filter with a smaller linearity. In the present invention, the DPF selection error is relatively small, thereby improving the calibration accuracy of the carbon loading model.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle control, and particularly to a method, device, equipment and storage medium for selecting a diesel particulate filter. Background Art

[0002] To further improve the pollution of diesel engine fine particulate matter and meet the limit requirements of relevant regulations for particulate matter in diesel engine exhaust gas, a wall-flow particulate trap with high purification efficiency is used in diesel engines. It captures particles through a mixed filtration device on the surface and inside, such as diffusion precipitation, inertial precipitation and linear interception, and can effectively purify 65% to 90% of the particulate matter in the exhaust gas. Therefore, the method for selecting a diesel particulate filter (DPF) is crucial.

[0003] In the prior art, the methods for selecting DPF only include emission tests (PM, PN) and carbon loading tests of typical cycles (judging whether the carbon load can be balanced during the regeneration cycle) to determine whether the DPF meets the requirements. In the method for calibrating the DPF differential pressure carbon load model, a DPF part with a median value is selected, and high smoke calibration (adjusting the engine rail pressure + timing) and low exhaust temperature cycles are used for the DPF carbon accumulation test on the engine test bench. Flow sweeps are performed at different carbon loads to obtain the flow resistance curves at 0 g / l, 2 g / l, 5 g / l, and 8 g / l.

[0004] However, in the carbon loading test, high smoke and low temperature cycles are more likely to form deep carbon (wall plug). In actual situations, as the passive regeneration of the DPF increases, the form of carbon will change from deep (wall plug) to filter cake (wall clean). As a result, the pressure drop of the filter cake (wall clean) form with the same carbon load is significantly lower than that of the deep (wall plug). Therefore, the error of the DPF selection method based on this method is relatively large, and the error of the carbon load estimation model based on the selected diesel particulate filter is relatively large, resulting in a relatively large error in DPF selection. Summary of the Invention

[0005] In view of the problems existing in the prior art, the present invention provides a method, device, equipment and storage medium for selecting a diesel particulate filter. In the present invention, the DPF selection error is relatively small, thereby improving the calibration accuracy of the carbon load model.

[0006] In a first aspect, the present invention provides a method for selecting a diesel particulate filter, the method comprising the following steps:

[0007] When it is determined that the soot loading rate of the diesel particulate filter meets the preset condition, obtain the first pressure drop data of the diesel particulate filter when reaching the preset carbon loading under two different load conditions, as well as the first inlet temperature and the first inlet pressure of the diesel particulate filter; the two different load conditions include a deep wall blockage condition and a filter cake wall cleaning condition; the deep wall blockage condition is used to characterize the load condition of the diesel particulate filter when the inlet temperature meets the first test condition, and the filter cake wall cleaning condition is used to characterize the load condition of the diesel particulate filter when the inlet temperature meets the second test condition;

[0008] According to the first inlet temperature and the first inlet pressure of the diesel particulate filter, determine the first volume flow rate of the diesel particles entering the diesel particulate filter;

[0009] According to the first pressure drop data and the first volume flow rate, plot a first back pressure curve, and determine a first linear equation based on the first back pressure curve;

[0010] Based on the first linear equation, determine the linearity of the diesel particulate filter; the linearity is used for the selection of the diesel particulate filter, and the smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particulate filter with a smaller linearity.

[0011] According to a method for selecting a diesel particulate filter provided by the present invention, the obtaining of the first pressure drop data of the diesel particulate filter when reaching the preset carbon loading under two different load conditions, as well as the first inlet temperature and the first inlet pressure of the diesel particulate filter, includes:

[0012] Using a differential pressure sensor, measure the second pressure drop data corresponding to the diesel particulate filter when reaching the preset carbon loading under the deep wall blockage condition, and the third pressure drop data corresponding to the diesel particulate filter when reaching the preset carbon loading under the filter cake wall cleaning condition;

[0013] Using a temperature sensor, measure the second inlet temperature of the diesel particulate filter when reaching the preset carbon loading under the filter cake wall cleaning condition, and the third inlet temperature of the diesel particulate filter when reaching the preset carbon loading under the filter cake wall cleaning condition;

[0014] Using a pressure sensor, measure the second inlet pressure corresponding to the diesel particulate filter when reaching the preset carbon loading under the deep wall blockage condition, and the third inlet pressure corresponding to the diesel particulate filter when reaching the preset carbon loading under the filter cake wall cleaning condition;

[0015] Determine the second pressure drop data and the third pressure drop data as the first pressure drop data;

[0016] Determine the second inlet temperature and the third inlet temperature as the first inlet temperature;

[0017] Determine the second inlet pressure and the third inlet pressure as the first inlet pressure.

[0018] According to a method for selecting a diesel particulate filter provided by the present invention, determining the first volume flow rate of diesel particles entering the diesel particulate filter according to the first inlet temperature and the first inlet pressure of the diesel particulate filter includes:

[0019] Multiply the first inlet temperature of the diesel particulate filter, the molar flow rate of the exhaust gas, and a preset constant to obtain a multiplication result;

[0020] Divide the multiplication result by the first inlet pressure to obtain the first volume flow rate of diesel particles entering the diesel particulate filter.

[0021] According to a method for selecting a diesel particulate filter provided by the present invention, drawing a first back pressure curve based on the first pressure drop data and the first volume flow rate, and determining a first linear equation based on the first back pressure curve includes:

[0022] Determine the first pressure drop data and the corresponding first volume flow rate as at least one data point;

[0023] Draw the first back pressure curve according to each of the data points;

[0024] Determine the first linear equation based on the slope and intercept of the first back pressure curve.

[0025] According to a method for selecting a diesel particulate filter provided by the present invention, determining the linearity of the diesel particulate filter based on the first linear equation includes:

[0026] Determine a second linear equation according to the second pressure drop data and the second volume flow rate;

[0027] Determine a first pressure drop value of the wall blockage pipeline at the preset carbon loading according to the second linear equation;

[0028] Determine a third linear equation according to the third pressure drop data and the third volume flow rate;

[0029] Determine a second pressure drop value of the wall cleaning pipeline at the preset carbon loading according to the third linear equation;

[0030] Determine the linearity of the diesel particulate filter based on the first pressure drop value, the second pressure drop value, the pressure drop value when there is no ash load, and the average pressure drops of the wall-blocked pipeline and the wall-cleaned pipeline at the preset carbon loading.

[0031] According to a method for selecting a diesel particulate filter provided by the present invention, the method further includes:

[0032] Based on the linearity of the diesel particulate filter, perform calibration development of the diesel particulate filter.

[0033] In a second aspect, the present invention further provides a device for selecting a diesel particulate filter, and the device includes the following modules:

[0034] An acquisition module, configured to, when it is determined that the ash loading rate of the preset diesel particulate filter is met, acquire first pressure drop data of the diesel particulate filter when reaching the preset carbon loading under two different load conditions, as well as the first inlet temperature and the first inlet pressure of the diesel particulate filter; the two different load conditions include a deep wall blockage condition and a filter cake wall cleaning condition;

[0035] A selection module, configured to determine a first volume flow rate of diesel particles entering the diesel particulate filter according to the first inlet temperature and the first inlet pressure of the diesel particulate filter;

[0036] Draw a first back pressure curve according to the first pressure drop data and the first volume flow rate, and determine a first linear equation based on the first back pressure curve;

[0037] Based on the first linear equation, determine the linearity of the diesel particulate filter; the linearity is used for selecting a diesel particulate filter, and the smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particulate filter with a smaller linearity.

[0038] In a third aspect, the present invention further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, it implements the method for selecting a diesel particulate filter as described in any one of the above.

[0039] In a fourth aspect, the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the method for selecting a diesel particulate filter as described in any one of the above.

[0040] In a fifth aspect, the present invention further provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the method for selecting a diesel particulate filter as described in any one of the above.

[0041] The diesel particulate filter selection method, device, equipment and storage medium provided by the present invention, when determining that the preset soot loading rate of the diesel particulate filter is met, obtain the first pressure drop data of the diesel particulate filter when reaching the preset carbon loading under two different load conditions, as well as the first inlet temperature and the first inlet pressure of the diesel particulate filter. Among them, the two different load conditions include the deep wall blockage condition and the filter cake wall cleaning condition. The deep wall blockage condition is used to characterize the load condition of the diesel particulate filter when the inlet temperature meets the first test condition, and the filter cake wall cleaning condition is used to characterize the load condition of the diesel particulate filter when the inlet temperature meets the second test condition; then, according to the first inlet temperature and the first inlet pressure of the diesel particulate filter, determine the first volume flow rate of the diesel particulate entering the diesel particulate filter. According to the first pressure drop data and the first volume flow rate, draw the first back pressure curve, and determine the first linear equation based on the first back pressure curve; furthermore, based on the first linear equation, determine the linearity of the diesel particulate filter. The linearity is used for the selection of the diesel particulate filter. The smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particulate filter with a smaller linearity.

[0042] In the present invention, considering that the back pressure formed by different forms of carbon in the DPF is different, and the greater the deviation, the greater the potential error of the carbon loading estimation model. By selecting the DPF through the DPF linearity, the aim is to select a DPF with a small linearity. The present invention realizes the selection of the DPF based on the linearity, and the DPF selection error is small, thereby improving the calibration accuracy of the carbon loading model. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0044] Figure 1 is one of the flow schematic diagrams of the diesel particulate filter selection method provided by the present invention.

[0045] Figure 2 is the schematic diagram of the data acquisition process provided by the present invention.

[0046] Figure 3 is the schematic diagram of the calculation result of the linearity of the DPF provided by the present invention.

[0047] Figure 4 is the second of the flow schematic diagrams of the diesel particulate filter selection method provided by the present invention.

[0048] Figure 5 It is a schematic structural diagram of the device for selecting a diesel particulate filter provided by the present invention.

[0049] Figure 6 It is a schematic structural diagram of the electronic device provided by the present invention. Detailed implementation manners

[0050] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without making creative efforts shall fall within the protection scope of the present invention.

[0051] The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that such terms can be interchanged under appropriate circumstances so that the embodiments of this application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first" and "second" are usually of the same type, and the number of objects is not limited. For example, the first node can be one or multiple. In addition, "and / or" in the description and claims means at least one of the connected objects, and the character " / " generally means an "or" relationship between the associated objects before and after.

[0052] To more clearly understand the various embodiments provided by the present invention, the technical content involved in the present invention is introduced as follows:

[0053] Diesel Particulate Filter (DPF): It is a device installed in the diesel engine emission system. Its main function is to capture and reduce particulate matter (PM) in diesel engine emissions to reduce the impact on air quality. The working principle of DPF is based on its unique structure and material properties. It is usually made of porous wall-flow ceramic material and coated with a noble metal catalyst, which enables it to effectively capture soot particles and other particulate matter in the exhaust gas of diesel vehicles. When the exhaust gas passes through the DPF, the particulate matter is captured by the wall-flow or alternating flow structure inside the filter. Over time, these captured particulate matters will gradually accumulate, resulting in the clogging of the filter and affecting the performance and fuel economy of the engine.

[0054] DPF Differential Pressure Carbon Loading Model: The DPF differential pressure carbon loading model is a model used to estimate the amount of soot accumulated inside the DPF (i.e., carbon loading). This model is crucial for determining the regeneration timing of the DPF because when the carbon loading inside the DPF reaches a certain threshold, regeneration is required to avoid performance degradation and potential damage.

[0055] The following combines Figures 1-6 to describe the method, device, equipment, and storage medium for selecting a diesel particulate filter according to the present invention.

[0056] Figure 1 is one of the schematic flowcharts of the method for selecting a diesel particulate filter provided by the present invention. As Figure 1 shown, the method includes the following:

[0057] Step 101: When it is determined that the preset diesel particulate filter soot loading rate is met, obtain the first pressure drop data of the diesel particulate filter when reaching the preset carbon loading under two different load conditions, as well as the first inlet temperature and first inlet pressure of the diesel particulate filter; the two different load conditions include the deep wall blockage condition and the filter cake wall cleaning condition; the deep wall blockage condition is used to characterize the load condition of the diesel particulate filter when the inlet temperature meets the first test condition, and the filter cake wall cleaning condition is used to characterize the load condition of the diesel particulate filter when the inlet temperature meets the second test condition.

[0058] Specifically, it should be noted that the execution subject of this embodiment is an electronic device, which is used to realize DPF selection based on linearity, and the DPF selection error is small, thereby improving the calibration accuracy of the carbon loading model.

[0059] First, determine whether the preset diesel particulate filter soot loading rate is met. For example, use a soot loading rate of 1 - 1.5 gpL / hr. The current engine performance trend is that the particulate emissions at the post-treatment inlet are very low, which makes it very difficult to load soot quickly and effectively. Therefore, it is necessary to execute engine override combustion control parameters (such as EGR fraction and fuel timing) to increase the particulate matter PM mass flow rate discharged from the engine to determine that the preset diesel particulate filter soot loading rate is met. It is recommended to use a soot loading rate of 1 - 1.5 gpL / hr. Loads lower than this rate will increase the risk of PM oxidation in the DPF pores, making it difficult to achieve a true wall blockage load. Loads higher than this rate will increase the risk of DPF surface blockage, and a large amount of soot load in front of the DPF will greatly increase the back pressure (non-representative performance).

[0060] It is understandable that there are two main forms of diesel particulate filter (DPF) particulate filtration: 1 Deep filtration (pores); 2 Cake filtration (screening). In deep filtration, when the gas flows through, the soot is absorbed into the pores. The amount of soot retained during deep filtration depends on the available pore volume (total filter volume and porosity). In cake filtration, the soot deposits on the channel walls, forming a sieve-like layer with DPF pores. If soot is to be loaded into the DPF at a low gas temperature (DPF inlet below 250 degrees Celsius), the DPF will first undergo deep filtration (with a non-linear increase in pressure drop as soot is loaded), and then a cake will form on the walls (resulting in a linear increase in the pressure drop caused by soot loading). This pressure drop line with soot (at a constant volumetric flow rate) is called wall plugging. If at any point on this line, the DPF is in conditions favorable for passive oxidation (high NO2), the soot inside the DPF walls will oxidize, and the pressure drop will undergo a non-linear decrease. If all the soot in the pores is oxidized, the DPF will filter according to cake filtration (with soot only on the walls) and is considered to be in the wall clean series. Fundamentally, at the same flow rate and soot load, the pressure drop of the wall clean line is always lower than that of the wall plug line.

[0061] When it is determined that the soot loading rate of the diesel particulate filter meets the preset requirement, the first pressure drop data, the first inlet temperature, and the first inlet pressure of the diesel particulate filter when reaching the preset carbon loading under two different load conditions (deep wall plug and wall clean conditions) are obtained.

[0062] Among them, the two different load conditions include the deep wall plug condition and the wall clean condition. The deep wall plug condition is used to characterize the load situation of the diesel particulate filter when the inlet temperature meets the first test condition. The wall clean condition is used to characterize the load situation of the diesel particulate filter when the inlet temperature meets the second test condition. The first test condition is, for example, a DPF inlet temperature of about 250 degrees Celsius, high engine output PM, and flow rate. At this time, it must be noted to ensure that the load condition does not cause the turbine output temperature to rise too much due to an increase in back pressure resulting in a temperature rise within the expected soot load range. The second test condition is, for example, high passive oxidation conditions, with a typical range of 350 - 400 degrees Celsius at the DOC inlet. It is also necessary to ensure some overrides to increase the engine output PM so that soot can be continuously deposited on the walls to assist the wall cleaning process.

[0063] Figure 2 is a schematic diagram of the data acquisition process provided by the present invention, as Figure 2As shown, the collection of the first pressure drop data will be carried out during the engine flow scan, for example, using a DeltaP sensor. It is recommended not to use the pressure drop measurement based on the test unit at this position unless you can accurately sample using a spacer ring (Note: Using a sampling ring may result in a higher-than-expected pressure drop). It is recommended that the test be performed with a 5-minute scan from low flow (low mass flow and temperature) to high flow, and if possible, the DOC inlet temperature should not exceed 300 degrees Celsius (to minimize soot oxidation in the filter). It is recommended to load the DPF and run some flow scans with the DPF weight before and after to check the risk of soot oxidation during the scan. Higher temperatures are only allowed during the DPF cleaning process when higher flows are required. The first inlet temperature of the diesel particulate filter can be obtained by using a temperature sensor, and the first inlet pressure can be obtained by using a pressure sensor.

[0064] Optionally, in order to obtain an accurate DPF cleaning weight (for soot measurement purposes), it is necessary to develop a procedure to ensure that no soot remains in the filter. This is accomplished through passive regeneration steps and active regeneration steps. The passive oxidation step is to keep the engine under high-temperature and nitrogen oxide conditions to slowly reduce the soot load in the filter. This condition is usually maintained for 30 minutes. The active regeneration step is to maintain the rated regeneration temperature at 575 degrees Celsius (DOC output temperature) for an additional 60 minutes. In order to collect non-calibration-based soot load data, DPF weighing must be performed on the clean and loaded filters. To avoid the influence of condensation in the filter on the accuracy of the weight, it is recommended to heat the gas discharged from the DPF to 140 - 160 degrees Celsius before closing and collecting the weight. The aim is to keep the filter at around 140 degrees Celsius during weighing, so an increased heating temperature is allowed to accommodate the more complex situation of disassembling the DPF (heating above 250 degrees Celsius is not recommended for safety reasons). Please ensure that the weighing is performed within 20 minutes after reaching the preheating temperature to minimize the risk of condensation.

[0065] Step 102: Determine the first volume flow rate of diesel particles entering the diesel particulate filter according to the first inlet temperature and the first inlet pressure of the diesel particulate filter;

[0066] Specifically, after collecting the first pressure drop data, the first inlet temperature, and the first inlet pressure, the first volume flow rate of diesel particles entering the diesel particulate filter can be further determined according to the first inlet temperature and the first inlet pressure of the diesel particulate filter, for example, calculated using the ideal gas law to obtain the first volume flow rate.

[0067] Step 103: Draw the first backpressure curve based on the first pressure drop data and the first volume flow rate, and determine the first linear equation based on the first backpressure curve;

[0068] Specifically, a first backpressure curve is plotted based on the first pressure drop data and the first volume flow rate. It can be understood that two backpressure curves can correspond to two load conditions, generating a wall plugged line and a wall clean line. An example of the process of generating a wall plugged line is as follows: Load the DPF under the wall plug condition for 2 hours (approximately equal to 2 - 3 gpL), measure the soot load of the DPF and perform a flow scan, regenerate and deeply clean the DPF to 0 gpL, load the DPF under the wall plug condition until it reaches 4 - 5 gpL, measure the soot load of the DPF and perform a flow scan. When collecting data, it is not necessary to obtain an accurate soot load, and only sufficient resolution is required to linearly interpolate to 5 gpL. An example of the process of generating a wall clean line is as follows: Load according to the wall blockage situation for 1 - 2 hours, and then load under the wall cleaning condition for 3 hours until the pressure drop measurement is stable, measure the soot load of the DPF and perform a flow scan. Repeat the above test steps to obtain 5 different soot amounts and flow scan data, and interpolate to obtain the 5 g / L wall clean line.

[0069] Furthermore, a first linear equation can be determined based on the first backpressure curve. After generating a relationship table of pressure drop and flow rate, find the slope and intercept of the linear equation (where X is the soot load and Y is the pressure drop) of each constant flow pipeline, thereby generating the first linear equation.

[0070] Step 104: Determine the linearity of the diesel particulate filter based on the first linear equation; the linearity is used for the selection of the diesel particulate filter. The smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particulate filter with a smaller linearity.

[0071] Specifically, the linearity of the diesel particulate filter can be regarded as the noise signal ratio. The signal is the pressure drop range in the DPF from clean to 5 g / L soot load, and the noise is the possible pressure drop range attributed to the DPF at 5 g / L for wall plugging or wall cleaning, that is, the backpressure difference corresponding to 5 g / L of different forms of soot. The linearity in the present invention is used for the selection of the diesel particulate filter. The smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particulate filter with a smaller linearity.

[0072] Based on the first linear equation, the linearity of the diesel particulate filter can be determined. For example, the linearity of the diesel particulate filter is calculated by the following formula:

[0073]

[0074] Where, Represents the DPF linearity, which can be regarded as the noise signal ratio, where the signal is the pressure drop range in the DPF from clean to 5 gpL soot loading, and the noise is the backpressure difference corresponding to different forms of soot at 5 gpL in the DPF. Represents the pressure drop of the wall plug pipeline at 5 gpL. Represents the pressure drop of the wall cleaning pipeline at 5 gpL. DP0 represents the pressure drop when there is no soot loading (obtained by weighing under the clean weight), and uDP5 represents the average pressure drop of the wall plugging and wall cleaning pipelines at 5 gpL.

[0075] In the method provided in this embodiment, when it is determined that the preset soot loading rate of the diesel particulate filter is met, the first pressure drop data when the diesel particulate filter reaches the preset carbon loading under two different load conditions, as well as the first inlet temperature and the first inlet pressure of the diesel particulate filter are obtained. Among them, the two different load conditions include the deep wall plugging condition and the filter cake wall cleaning condition. The deep wall plugging condition is used to characterize the load condition of the diesel particulate filter when the inlet temperature meets the first test condition, and the filter cake wall cleaning condition is used to characterize the load condition of the diesel particulate filter when the inlet temperature meets the second test condition; then, according to the first inlet temperature and the first inlet pressure of the diesel particulate filter, the first volume flow rate of the diesel particles entering the diesel particulate filter is determined. According to the first pressure drop data and the first volume flow rate, the first backpressure curve is plotted, and the first linear equation is determined based on the first backpressure curve; furthermore, based on the first linear equation, the linearity of the diesel particulate filter is determined. The linearity is used for the selection of the diesel particulate filter. The smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particulate filter with a smaller linearity.

[0076] In the present invention, considering that the backpressure formed by different forms of carbon in the DPF is different, and the greater the deviation, the greater the potential error of the carbon loading estimation model. By selecting the DPF through the DPF linearity, the aim is to select a DPF with a small linearity. The present invention realizes the selection of the DPF based on the linearity, and the DPF selection error is small, thereby improving the calibration accuracy of the carbon loading model.

[0077] According to a method for selecting a diesel particulate filter provided by the present invention, obtaining the first pressure drop data when the diesel particulate filter reaches the preset carbon loading under two different load conditions, as well as the first inlet temperature and the first inlet pressure of the diesel particulate filter, includes:

[0078] Using a differential pressure sensor, the second pressure drop data corresponding to when the diesel particulate filter reaches the preset carbon loading under the deep wall plugging condition and the third pressure drop data corresponding to when the diesel particulate filter reaches the preset carbon loading under the filter cake wall cleaning condition are measured.

[0079] Using a temperature sensor, measure the second inlet temperature of the diesel particulate filter when reaching the preset carbon loading under the condition of clean filter cake wall surface, and the third inlet temperature of the diesel particulate filter when reaching the preset carbon loading under the condition of clean filter cake wall surface;

[0080] Using a pressure sensor, measure the corresponding second inlet pressure of the diesel particulate filter when reaching the preset carbon loading under the condition of deep wall blockage, and the corresponding third inlet pressure of the diesel particulate filter when reaching the preset carbon loading under the condition of clean filter cake wall surface;

[0081] Determine the second pressure drop data and the third pressure drop data as the first pressure drop data;

[0082] Determine the second inlet temperature and the third inlet temperature as the first inlet temperature;

[0083] Determine the second inlet pressure and the third inlet pressure as the first inlet pressure.

[0084] Specifically, in some embodiments, step 101 of obtaining the first pressure drop data of the diesel particulate filter when reaching the preset carbon loading under two different load conditions, as well as the first inlet temperature and the first inlet pressure of the diesel particulate filter, can be implemented in the following manner. The steps include:

[0085] The present invention considers two load conditions. Therefore, the measured pressure drop data, inlet temperature, and inlet pressure can be measured correspondingly under the test conditions corresponding to the two load conditions:

[0086] First, use a differential pressure sensor to measure the corresponding second pressure drop data of the diesel particulate filter when reaching the preset carbon loading under the condition of deep wall blockage, and the corresponding third pressure drop data of the diesel particulate filter when reaching the preset carbon loading under the condition of clean filter cake wall surface. The differential pressure sensor, the DeltaP sensor, is a sensor used to measure the pressure difference between two pressure points. This sensor is very useful in a variety of industrial and environmental applications. For example, in a diesel particulate filter (DPF) system, the DeltaP sensor can be used to measure the pressure difference before and after the DPF, thereby monitoring the blockage degree and filtration efficiency of the DPF. The working principle of the DeltaP sensor is to determine the flow rate by measuring the pressure changes at different parts of the fluid flowing in the pipeline. The pressure change is proportional to the flow rate. Therefore, this principle can be used to measure the flow rate. This sensor usually installs pressure gauges at both ends of the pipeline to measure the pressure change, and then calculates the flow rate according to the characteristics of the fluid (such as viscosity, density, etc.). The advantage of the DeltaP sensor is that it can provide very accurate flow rate data and can measure the flow rate in harsh environments, such as high temperature, high pressure, etc.

[0087] Further, a temperature sensor can be used to measure the second inlet temperature of the diesel particulate filter when reaching the preset carbon loading under the condition of filter cake wall cleaning, and the third inlet temperature of the diesel particulate filter when reaching the preset carbon loading under the condition of filter cake wall cleaning; a pressure sensor can be used to measure the corresponding second inlet pressure of the diesel particulate filter when reaching the preset carbon loading under the condition of deep wall blockage, and the corresponding third inlet pressure of the diesel particulate filter when reaching the preset carbon loading under the condition of filter cake wall cleaning.

[0088] Furthermore, the data measured under different loading conditions are determined as the first pressure drop data, the first inlet temperature, and the first inlet pressure.

[0089] The method provided in this embodiment considers two loading conditions, that is, it considers the influence of different forms of carbon in the DPF on the back pressure. The measured pressure drop data, inlet temperature, and inlet pressure can be measured corresponding to the test conditions corresponding to the two loading conditions. Furthermore, a back pressure curve is drawn based on the data under the two loading conditions, and the corresponding linearity is obtained based on the back pressure curve, which is convenient for subsequent selection of a DPF with a small linearity and improving the calibration accuracy of the carbon loading model.

[0090] According to a method for selecting a diesel particulate filter provided by the present invention, according to the first inlet temperature and the first inlet pressure of the diesel particulate filter, the first volume flow rate of diesel particles entering the diesel particulate filter is determined, including:

[0091] Multiply the first inlet temperature of the diesel particulate filter, the molar flow rate of the exhaust gas, and a preset constant to obtain a multiplication result;

[0092] Divide the multiplication result by the first inlet pressure to obtain the first volume flow rate of diesel particles entering the diesel particulate filter.

[0093] Specifically, in some embodiments, step 102 can be implemented in the following manner:

[0094] For example, the ideal gas law is used to automatically calculate the first volume flow rate entering the DPF. Specifically, the first volume flow rate of diesel particles entering the diesel particulate filter is calculated using the following formula (1) :

[0095] (1)

[0096] Wherein, represents the first volume flow rate of diesel particles entering the diesel particulate filter, represents the molar flow rate of the exhaust gas, with the unit of mol / s. Assume 29 mol / s, is a constant, usually taking R = 8.314 * 103 [(m3 * kPa) / (mol * k)], represents the first inlet temperature of the diesel particulate filter (unit: degree Celsius), represents the first inlet pressure (unit: kPa).

[0097] By calculating the first volume flow rate, an original graph of the first pressure drop data and the first volume flow rate (cubic meters per second ACMS) can be generated. In addition, the data can be smoothed according to a second-order polynomial before using the data to calculate the linearity. After that, based on the relationship between the first pressure drop data and the first volume flow rate, the slope and intercept of the linear equation of each constant flow pipeline can be determined, and then the linearity can be calculated.

[0098] The method provided in this embodiment uses the ideal gas law to automatically calculate the first volume flow rate entering the DPF. Furthermore, by calculating the first volume flow rate, an original graph of the first pressure drop data and the first volume flow rate can be generated. After that, based on the relationship between the first pressure drop data and the first volume flow rate, the slope and intercept of the linear equation of each constant flow pipeline can be determined, and then the linearity can be calculated, realizing the selection of the DPF based on the linearity.

[0099] According to a method for selecting a diesel particulate filter provided by the present invention, based on the first pressure drop data and the first volume flow rate, a first backpressure curve is plotted, and a first linear equation is determined based on the first backpressure curve, including:

[0100] The first pressure drop data and the corresponding first volume flow rate are determined as at least one data point;

[0101] According to each data point, a first backpressure curve is plotted;

[0102] Based on the slope and intercept of the first backpressure curve, a first linear equation is determined.

[0103] Specifically, in some embodiments, in step 103, according to the first pressure drop data and the first volume flow rate, plotting the first backpressure curve and determining the first linear equation based on the first backpressure curve can be achieved through the following steps, including:

[0104] First, the first pressure drop data and the corresponding first volume flow rate are determined as at least one data point. For example, the first pressure drop data is determined as the ordinate of the corresponding data point, and the second pressure drop data is determined as the abscissa of the corresponding data point.

[0105] Further, a first backpressure curve can be plotted based on each data point. For example, each data point is marked in a preset coordinate system, and then, more data points can be obtained using the interpolation method. Furthermore, the multiple data points obtained based on the interpolation method are connected in sequence to plot the first backpressure curve.

[0106] Based on the slope and intercept of the first backpressure curve, a first linear equation is determined.

[0107] For example, the first linear equation is determined using the following formula:

[0108] DP wp5 =m wp ×SL×b wp

[0109] DP wc5 =m wc ×SL×b wc

[0110] Wherein, m and b are from the linear fitting of the constant flow line of soot loading and pressure drop, and "SL" is the soot loading (5 gpL) when calculating linearity.

[0111] For the method provided in this embodiment, first, the first pressure drop data and the corresponding first volume flow rate are determined as at least one data point; then, a first backpressure curve is plotted based on each data point; based on the slope and intercept of the first backpressure curve, a first linear equation is determined, which is convenient for subsequently determining the linearity based on the first linear equation, realizing the selection of DPF based on linearity, and improving the evaluation accuracy of the carbon loading model.

[0112] According to a method for selecting a diesel particulate filter provided by the present invention, based on the first linear equation, the linearity of the diesel particulate filter is determined, including:

[0113] According to the second pressure drop data and the second volume flow rate, a second linear equation is determined;

[0114] According to the second linear equation, the first pressure drop value of the wall blockage pipeline at a preset carbon loading is determined;

[0115] According to the third pressure drop data and the third volume flow rate, a third linear equation is determined;

[0116] According to the third linear equation, the second pressure drop value of the wall cleaning pipeline at a preset carbon loading is determined;

[0117] Based on the first pressure drop value, the second pressure drop value, the pressure drop value without soot load, and the average pressure drop of the wall blockage pipeline and the wall cleaning pipeline at a preset carbon loading, the linearity of the diesel particulate filter is determined.

[0118] Specifically, in some embodiments, step 104 can be implemented in the following manner:

[0119] First, it can be understood that the first linear equation can be a linear equation corresponding to two load conditions. For example, first, determine the second linear equation based on the second pressure drop data and the second volume flow rate, and then determine the third linear equation based on the third pressure drop data and the third volume flow rate. It should be noted that the process of determining the linear equation based on the pressure drop data and the volume flow rate here is similar to the composition of determining the first linear equation based on the first pressure drop data and the first volume flow rate described above, and will not be elaborated here.

[0120] Further, after determining the second linear equation and the third linear equation, the linearity of the diesel particulate filter can be determined based on the second linear equation and the third linear equation. For example, use the following formula to calculate the linearity of the diesel particulate filter:

[0121]

[0122] where, represents the DPF linearity, and the DPF linearity can be regarded as the noise signal ratio, where the signal is the pressure drop range in the DPF from clean to 5 gpL soot loading, and the noise is the back pressure difference corresponding to different morphologies of 5 gpL soot in the DPF, represents the pressure drop of the wall plug line at 5 gpL, represents the pressure drop of the wall cleaning line at 5 gpL, DP0 represents the pressure drop at no soot loading (obtained by weighing under clean weight), and uDP5 represents the average pressure drop of the wall plugging and wall cleaning lines at 5 gpL.

[0123] Here, it should be emphasized that the unit of the pressure drop is usually kPa, but the linear factor is a dimensionless quantity, so the unit matching of each term is more important. The calculation result is intuitively shown in Figure 3 in, Figure 3 is a schematic diagram of the calculation result of the DPF linearity provided by the present invention.

[0124] For the method provided in this embodiment, the DPF linearity can be regarded as the noise signal ratio, the signal is the pressure drop of the DPF from 0 - 5 g / L, and the noise is the back pressure difference corresponding to different morphologies of 5 g / L soot. Determining the linearity of the diesel particulate filter based on the first linear equation facilitates the subsequent selection of a DPF with a small linearity and improves the calibration accuracy of the carbon loading model.

[0125] According to a method for selecting a diesel particulate filter provided by the present invention, the method further includes:

[0126] Based on the linearity of the diesel particulate filter, carry out calibration development of the diesel particulate filter.

[0127] Specifically, in some embodiments, the method further includes: performing calibration development of the diesel particulate filter based on the linearity of the diesel particulate filter. According to the above linearity calculation formula of the diesel particulate filter, the smaller the linearity, the smaller the noise. The higher the accuracy of the carbon loading model calibration based on the diesel particulate filter with a smaller linearity. A high-precision DPF carbon loading model can avoid problems such as frequent regeneration and DPF burnout.

[0128] Therefore, the diesel particulate filter with a corresponding linearity can be selected according to actual needs for the calibration development of the diesel particulate filter.

[0129] The method provided in this embodiment performs calibration development of the diesel particulate filter based on the linearity of the diesel particulate filter, and can select a DPF with a small linearity to improve the accuracy of the carbon loading model calibration.

[0130] Figure 4 It is the second schematic flow chart of the method for selecting a diesel particulate filter provided by the present invention. As Figure 4 shown, the method includes:

[0131] First, scan the flow rates under two load conditions to obtain a backpressure curve. The two load conditions include: deep carbon accumulation to 5 g / L and filter cake carbon accumulation to 5 g / L.

[0132] Further, calculate the linearity of the diesel particulate filter.

[0133] Further, determine whether the diesel particulate filter meets the development requirements. If it meets, perform calibration development of the diesel particulate filter.

[0134] Next, the device for selecting a diesel particulate filter provided by the present invention will be described. The device for selecting a diesel particulate filter described below can be mutually corresponded and referred to the method for selecting a diesel particulate filter described above.

[0135] Figure 5 It is the schematic structural diagram of the device for selecting a diesel particulate filter provided by the present invention. As Figure 5 shown, the device 500 for selecting a diesel particulate filter includes the following modules:

[0136] An acquisition module 510, configured to obtain first pressure drop data when the diesel particulate filter reaches a preset carbon loading under two different load conditions, the first inlet temperature and the first inlet pressure of the diesel particulate filter when it is determined that the diesel particulate filter meets the preset soot loading rate of the diesel particulate filter; the two different load conditions include a deep wall blockage condition and a filter cake wall cleaning condition;

[0137] The selection module 520 is configured to determine a first volume flow rate of diesel particles entering the diesel particulate filter according to the first inlet temperature and the first inlet pressure of the diesel particulate filter;

[0138] According to the first pressure drop data and the first volume flow rate, a first back pressure curve is plotted, and a first linear equation is determined based on the first back pressure curve;

[0139] Based on the first linear equation, the linearity of the diesel particulate filter is determined; the linearity is used for the selection of the diesel particulate filter, and the smaller the linearity is, the smaller the calibration error of the carbon loading model based on the diesel particulate filter with a smaller linearity is.

[0140] In the device provided in this embodiment, the acquisition module 510 is configured to, when it is determined that the preset diesel particulate filter soot loading rate is met, acquire first pressure drop data when the diesel particulate filter reaches the preset carbon loading under two different load conditions, as well as the first inlet temperature and the first inlet pressure of the diesel particulate filter, where the two different load conditions include a deep wall blockage condition and a filter cake wall cleaning condition, the deep wall blockage condition is used to characterize the load condition of the diesel particulate filter when the inlet temperature meets the first test condition, and the filter cake wall cleaning condition is used to characterize the load condition of the diesel particulate filter when the inlet temperature meets the second test condition; then, the selection module 520 is configured to determine a first volume flow rate of diesel particles entering the diesel particulate filter according to the first inlet temperature and the first inlet pressure of the diesel particulate filter, plot a first back pressure curve according to the first pressure drop data and the first volume flow rate, and determine a first linear equation based on the first back pressure curve; furthermore, based on the first linear equation, the linearity of the diesel particulate filter is determined, and the linearity is used for the selection of the diesel particulate filter, and the smaller the linearity is, the smaller the calibration error of the carbon loading model based on the diesel particulate filter with a smaller linearity is.

[0141] In the present invention, considering that the back pressure formed by different forms of carbon in the DPF is different, and the greater the deviation, the greater the potential error of the carbon loading estimation model, the DPF is selected through the DPF linearity, aiming to select a DPF with a small linearity. The present invention realizes the selection of the DPF based on the linearity, and the DPF selection error is small, thereby improving the calibration accuracy of the carbon loading model.

[0142] According to a selection device 500 for a diesel particulate filter provided by the present invention, the acquisition module 510 is specifically configured to:

[0143] Using a differential pressure sensor, measure the corresponding second pressure drop data when the diesel particulate filter reaches the preset carbon loading under the deep wall blockage condition, and the corresponding third pressure drop data when the diesel particulate filter reaches the preset carbon loading under the filter cake wall cleaning condition;

[0144] Using a temperature sensor, measure the second inlet temperature of the diesel particulate filter when reaching the preset carbon loading under the condition of the filter cake wall cleaning, and the third inlet temperature of the diesel particulate filter when reaching the preset carbon loading under the condition of the filter cake wall cleaning;

[0145] Using a pressure sensor, measure the corresponding second inlet pressure of the diesel particulate filter when reaching the preset carbon loading under the condition of the deep wall blockage, and the corresponding third inlet pressure of the diesel particulate filter when reaching the preset carbon loading under the condition of the filter cake wall cleaning;

[0146] Determine the second pressure drop data and the third pressure drop data as the first pressure drop data;

[0147] Determine the second inlet temperature and the third inlet temperature as the first inlet temperature;

[0148] Determine the second inlet pressure and the third inlet pressure as the first inlet pressure.

[0149] According to a diesel particulate filter selection device 500 provided by the present invention, the selection module 520 is specifically configured to:

[0150] Multiply the first inlet temperature of the diesel particulate filter, the molar flow rate of the exhaust gas, and a preset constant to obtain a multiplication result;

[0151] Divide the multiplication result by the first inlet pressure to obtain the first volume flow rate of diesel particles entering the diesel particulate filter.

[0152] According to a diesel particulate filter selection device 500 provided by the present invention, the selection module 520 is further configured to:

[0153] Determine the first pressure drop data and the corresponding first volume flow rate as at least one data point;

[0154] Draw the first back pressure curve according to each of the data points;

[0155] Determine the first linear equation based on the slope and intercept of the first back pressure curve.

[0156] According to a diesel particulate filter selection method provided by the present invention, the selection module 520 is further configured to:

[0157] Determine a second linear equation according to the second pressure drop data and the second volume flow rate;

[0158] Determine the first pressure drop value of the wall-blocked pipeline at the preset carbon loading according to the second linear equation;

[0159] Determine the third linear equation according to the third pressure drop data and the third volume flow rate;

[0160] Determine the second pressure drop value of the wall-cleaned pipeline at the preset carbon loading according to the third linear equation;

[0161] Based on the first pressure drop value, the second pressure drop value, the pressure drop value without ash load, and the average pressure drop of the wall-blocked pipeline and the wall-cleaned pipeline at the preset carbon loading, determine the linearity of the diesel particulate filter.

[0162] According to a method for selecting a diesel particulate filter provided by the present invention, the device further includes a calibration and development module;

[0163] The calibration and development module is specifically configured to:

[0164] Based on the linearity of the diesel particulate filter, perform calibration and development of the diesel particulate filter.

[0165] Figure 6 An example of a schematic physical structure diagram of an electronic device is shown as Figure 6 As shown, the electronic device may include: a processor 610, a communication interface 620, a memory 630, and a communication bus 640. Among them, the processor 610, the communication interface 620, and the memory 630 communicate with each other through the communication bus 640. The processor 610 can call the logical instructions in the memory 630 to execute the method for selecting a diesel particulate filter, and the method includes:

[0166] When it is determined that the soot loading rate of the preset diesel particulate filter is met, obtain the first pressure drop data of the diesel particulate filter at the preset carbon loading under two different load conditions, as well as the first inlet temperature and the first inlet pressure of the diesel particulate filter; the two different load conditions include a deep wall blockage condition and a filter cake wall cleaning condition; the deep wall blockage condition is used to characterize the load condition of the inlet temperature of the diesel particulate filter under the first test condition, and the filter cake wall cleaning condition is used to characterize the load condition of the inlet temperature of the diesel particulate filter under the second test condition;

[0167] Determine the first volume flow rate of the diesel particles entering the diesel particulate filter according to the first inlet temperature and the first inlet pressure of the diesel particulate filter;

[0168] Based on the first pressure drop data and the first volume flow rate, a first back pressure curve is plotted, and a first linear equation is determined based on the first back pressure curve;

[0169] Based on the first linear equation, the linearity of the diesel particulate filter is determined; the linearity is used for the selection of the diesel particulate filter, and the smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particulate filter with a smaller linearity.

[0170] In addition, when the logical instructions in the above-mentioned memory 630 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0171] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the method for selecting a diesel particulate filter provided by the above-mentioned various methods. The method includes:

[0172] When it is determined that the soot loading rate of the preset diesel particulate filter is met, the first pressure drop data when the diesel particulate filter reaches the preset carbon loading under two different load conditions, as well as the first inlet temperature and the first inlet pressure of the diesel particulate filter are obtained; the two different load conditions include a deep wall blockage condition and a filter cake wall cleaning condition; the deep wall blockage condition is used to characterize the load condition of the diesel particulate filter when the inlet temperature meets the first test condition, and the filter cake wall cleaning condition is used to characterize the load condition of the diesel particulate filter when the inlet temperature meets the second test condition;

[0173] Based on the first inlet temperature and the first inlet pressure of the diesel particulate filter, the first volume flow rate of the diesel particles entering the diesel particulate filter is determined;

[0174] Based on the first pressure drop data and the first volume flow rate, a first backpressure curve is plotted, and a first linear equation is determined based on the first backpressure curve;

[0175] Based on the first linear equation, the linearity of the diesel particulate filter is determined; the linearity is used for the selection of the diesel particulate filter, and the smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particulate filter with the smaller linearity.

[0176] On the other hand, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the method for selecting a diesel particulate filter provided by the above-mentioned various methods. The method includes:

[0177] When it is determined that the soot loading rate of the preset diesel particulate filter is met, the first pressure drop data when the diesel particulate filter reaches the preset carbon loading under two different load conditions, as well as the first inlet temperature and the first inlet pressure of the diesel particulate filter are obtained; the two different load conditions include the deep wall blockage condition and the filter cake wall cleaning condition; the deep wall blockage condition is used to characterize the load condition of the inlet temperature of the diesel particulate filter under the first test condition, and the filter cake wall cleaning condition is used to characterize the load condition of the inlet temperature of the diesel particulate filter under the second test condition;

[0178] According to the first inlet temperature and the first inlet pressure of the diesel particulate filter, the first volume flow rate of the diesel particles entering the diesel particulate filter is determined;

[0179] Based on the first pressure drop data and the first volume flow rate, a first backpressure curve is plotted, and a first linear equation is determined based on the first backpressure curve;

[0180] Based on the first linear equation, the linearity of the diesel particulate filter is determined; the linearity is used for the selection of the diesel particulate filter, and the smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particulate filter with the smaller linearity.

[0181] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.

[0182] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0183] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. And these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for selecting a diesel particulate filter, characterized in that, Including: When it is determined that the preset soot loading rate of the diesel particulate filter is met, obtain the first pressure drop data of the diesel particulate filter when reaching the preset carbon loading under two different load conditions, as well as the first inlet temperature and the first inlet pressure of the diesel particulate filter; the two different load conditions include the deep wall blockage condition and the filter cake wall cleaning condition; the deep wall blockage condition is used to characterize the load condition of the diesel particulate filter when the inlet temperature meets the first test condition, and the filter cake wall cleaning condition is used to characterize the load condition of the diesel particulate filter when the inlet temperature meets the second test condition; According to the first inlet temperature and the first inlet pressure of the diesel particulate filter, determine the first volume flow rate of diesel particles entering the diesel particulate filter; According to the first pressure drop data and the first volume flow rate, draw a first back pressure curve, and determine a first linear equation based on the first back pressure curve; Based on the first linear equation, determine the linearity of the diesel particulate filter; The linearity is used for the selection of the diesel particulate filter. The smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particulate filter with a smaller linearity.

2. The method for selecting a diesel particulate filter according to claim 1, wherein The obtaining of the first pressure drop data of the diesel particulate filter when reaching the preset carbon loading under two different load conditions, as well as the first inlet temperature and the first inlet pressure of the diesel particulate filter, includes: Using a differential pressure sensor, measure the corresponding second pressure drop data of the diesel particulate filter when reaching the preset carbon loading under the deep wall blockage condition, and the corresponding third pressure drop data when reaching the preset carbon loading under the filter cake wall cleaning condition; Using a temperature sensor, measure the second inlet temperature of the diesel particulate filter when reaching the preset carbon loading under the filter cake wall cleaning condition, and the third inlet temperature of the diesel particulate filter when reaching the preset carbon loading under the filter cake wall cleaning condition; Using a pressure sensor, measure the corresponding second inlet pressure of the diesel particulate filter when reaching the preset carbon loading under the deep wall blockage condition, and the corresponding third inlet pressure of the diesel particulate filter when reaching the preset carbon loading under the filter cake wall cleaning condition; Determine the second pressure drop data and the third pressure drop data as the first pressure drop data; Determine the second inlet temperature and the third inlet temperature as the first inlet temperature; Determine the second inlet pressure and the third inlet pressure as the first inlet pressure.

3. The method for selecting a diesel particulate filter according to claim 1, wherein, The determining of the first volume flow rate of diesel particles entering the diesel particulate filter according to the first inlet temperature and the first inlet pressure of the diesel particulate filter includes: Multiply the first inlet temperature of the diesel particulate filter, the molar flow rate of the exhaust gas, and a preset constant to obtain a multiplication result; Divide the multiplication result by the first inlet pressure to obtain the first volume flow rate of diesel particles entering the diesel particulate filter.

4. The method for selecting a diesel particulate filter according to claim 1, characterized in that, Drawing a first backpressure curve based on the first pressure drop data and the first volume flow rate, and determining a first linear equation based on the first backpressure curve, includes: Determining the first pressure drop data and the corresponding first volume flow rate as at least one data point; Drawing the first backpressure curve according to each of the data points; Determining the first linear equation based on the slope and intercept of the first backpressure curve.

5. The method for selecting a diesel particulate filter according to claim 2, wherein Determining the linearity of the diesel particulate filter based on the first linear equation, includes: Determining a second linear equation according to the second pressure drop data and the second volume flow rate; Determining a first pressure drop value of the wall blockage pipeline at the preset carbon loading according to the second linear equation; Determining a third linear equation according to the third pressure drop data and the third volume flow rate; Determining a second pressure drop value of the wall cleaning pipeline at the preset carbon loading according to the third linear equation; Determining the linearity of the diesel particulate filter based on the first pressure drop value, the second pressure drop value, the pressure drop value without soot loading, and the average pressure drop of the wall blockage pipeline and the wall cleaning pipeline at the preset carbon loading.

6. The method for selecting a diesel particulate filter according to any one of claims 1-5, characterized in that, The method further includes: Performing calibration development of the diesel particulate filter based on the linearity of the diesel particulate filter.

7. A device for selecting a diesel particulate filter, characterized in that, Includes: An acquisition module, configured to acquire first pressure drop data of the diesel particulate filter when reaching the preset carbon loading under two different loading conditions, a first inlet temperature and a first inlet pressure of the diesel particulate filter when it is determined that the preset soot loading rate of the diesel particulate filter is met; the two different loading conditions include a deep wall blockage condition and a filter cake wall cleaning condition; A selection module, configured to determine a first volume flow rate of diesel particles entering the diesel particulate filter according to the first inlet temperature and the first inlet pressure of the diesel particulate filter; Drawing a first backpressure curve according to the first pressure drop data and the first volume flow rate, and determining a first linear equation based on the first backpressure curve; Determining the linearity of the diesel particulate filter based on the first linear equation; The linearity is used for the selection of the diesel particulate filter. The smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particulate filter with a smaller linearity.

8. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method for selecting a diesel particulate filter according to any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for selecting a diesel particulate filter according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for selecting a diesel particulate filter according to any one of claims 1 to 6.

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