Model selection method, device and equipment for diesel particulate filter and storage medium

Abstract

The invention provides a diesel particulate filter type selection method, device and equipment and a storage medium, and relates to the technical field of automobile control. The first pressure drop data, the first inlet temperature and the first inlet pressure when the DPF reaches the preset carbon loading capacity under the two different loading conditions are obtained; determining a first volume flow rate of diesel particles entering the DPF according to the first inlet temperature and the first inlet pressure; drawing a first back pressure curve according to the first pressure drop data and the first volume flow, and determining a first linear equation based on the first back pressure curve; and then, the linearity of the DPF is determined based on the first linear equation, the linearity is used for model selection of the DPF, and the smaller the linearity is, the smaller the calibration error of the carbon loading capacity model carried out based on the diesel particulate filter with the smaller linearity is. According to the method, the DPF model selection error is small, and therefore the calibration precision of the carbon loading capacity model is improved.

Description

Technical Field

[0001] The present invention relates to the field of automobile control technology, and in particular to a selection method, device, equipment and storage medium for a diesel particle filter. Background Art

[0002] In order to further improve diesel engine fine particulate pollution and meet the relevant regulations on the limit value of particulate matter in diesel engine exhaust, diesel engines use wall-flow particle collectors with high purification efficiency. They capture particles through surface and internal hybrid filtering devices, such as diffusion precipitation, inertial precipitation and linear interception, and can effectively purify 65% ​​to 90% of particulate matter in exhaust. Therefore, the selection method of diesel particulate filter (DPF) is crucial.

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

[0004] However, high smoke and low temperature cycles in the carbon loading test are more likely to form deep carbon (wall plug). In actual situations, as passive regeneration inside the DPF increases, the carbon form changes from deep (wall plug) to filter cake (wall clean), resulting in a significantly lower pressure drop than the deep (wall plug) filter cake (wall clean) form with the same carbon loading. Therefore, the DPF selection method based on this method has a large selection error, and the diesel particulate filter carbon loading estimation model based on the selection has a large error, resulting in a large DPF selection error. 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 small, thereby improving the calibration accuracy of the carbon loading model.

[0006] In a first aspect, the present invention provides a method for selecting a diesel particulate filter, the method comprising the following steps: In the case of determining that the preset diesel particulate filter soot loading rate is met, obtaining the first pressure drop data when the diesel particulate filter reaches the preset carbon loading under two different load conditions and 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 clean 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 clean condition is used to characterize the load condition of the inlet temperature of the diesel particulate filter under the second test condition; determining a first volume flow rate of diesel particles entering the diesel particle filter according to a first inlet temperature of the diesel particle filter and the first inlet pressure; According to the first pressure drop data and the first volume flow rate, a first back pressure curve is obtained by plotting, and a first linear equation is determined based on the first back pressure curve; Based on the first linear equation, the linearity of the diesel particulate filter is determined; the linearity is used to select 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 smaller linearity.

[0007] According to a method for selecting a diesel particulate filter provided by the present invention, the step of obtaining first pressure drop data when the diesel particulate filter reaches a preset carbon load under two different load conditions and a first inlet temperature and a first inlet pressure of the diesel particulate filter comprises: Using a differential pressure sensor, measuring and obtaining a second pressure drop data corresponding to when the diesel particulate filter reaches the preset carbon load under the deep wall blocking condition, and a third pressure drop data corresponding to when the diesel particulate filter reaches the preset carbon load under the filter cake wall cleaning condition; Using a temperature sensor, measuring a second inlet temperature of the diesel particulate filter when the preset carbon load is reached under the filter cake wall cleaning condition, and a third inlet temperature of the diesel particulate filter when the preset carbon load is reached under the filter cake wall cleaning condition; Using a pressure sensor, measuring a second inlet pressure corresponding to when the diesel particulate filter reaches the preset carbon load under the deep wall blocking condition, and a third inlet pressure corresponding to when the diesel particulate filter reaches the preset carbon load 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; determining the second inlet temperature and the third inlet temperature as the first inlet temperature; The second inlet pressure and the third inlet pressure are determined as the first inlet pressure.

[0008] According to a method for selecting a diesel particulate filter provided by the present invention, determining a first volume flow rate of diesel particles entering the diesel particulate filter according to a first inlet temperature and a first inlet pressure of the diesel particulate filter comprises: multiplying 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; The multiplication result is divided by the first inlet pressure to obtain a first volume flow rate of diesel particles entering the diesel particle filter.

[0009] According to a method for selecting a diesel particulate filter provided by the present invention, the first back pressure curve is plotted according to the first pressure drop data and the first volume flow rate, and a first linear equation is determined based on the first back pressure curve, including: Determine the first pressure drop data and the corresponding first volume flow rate as at least one data point; According to each of the data points, the first back pressure curve is obtained by drawing; The first linear equation is determined based on the slope and the intercept of the first backpressure curve.

[0010] 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: Determine a second linear equation based on the second pressure drop data and the second volume flow rate; Determining a first pressure drop value of the wall-blocked 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; The linearity of the diesel particulate filter is determined 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-blocked line and the wall-cleaned line at the preset carbon load.

[0011] According to a method for selecting a diesel particulate filter provided by the present invention, the method further comprises: Based on the linearity of the diesel particulate filter, calibration development of the diesel particulate filter is performed.

[0012] In a second aspect, the present invention further provides a device for selecting a diesel particulate filter, the device comprising the following modules: an acquisition module, for acquiring, when it is determined that the preset diesel particulate filter soot loading rate is met, first pressure drop data when the diesel particulate filter reaches a preset carbon loading under two different load conditions, as well as a first inlet temperature and a first inlet pressure of the diesel particulate filter; the two different load conditions include a deep wall plugging 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 particle filter according to a first inlet temperature and the first inlet pressure of the diesel particle filter; According to the first pressure drop data and the first volume flow rate, a first back pressure curve is obtained by plotting, and a first linear equation is determined based on the first back pressure curve; Based on the first linear equation, the linearity of the diesel particulate filter is determined; the linearity is used to select 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 smaller linearity.

[0013] In a third aspect, the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, a method for selecting a diesel particulate filter as described above is implemented.

[0014] In a fourth aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for selecting a diesel particulate filter as described in any one of the above is implemented.

[0015] In a fifth aspect, the present invention further provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for selecting a diesel particulate filter as described above is implemented.

[0016] The method, device, equipment and storage medium for selecting a diesel particle filter provided by the present invention obtain first pressure drop data when the diesel particle filter reaches a preset carbon load under two different load conditions, as well as a first inlet temperature and a first inlet pressure of the diesel particle filter under two different load conditions, when determining that the preset diesel particle filter soot loading rate is met, wherein the two different load conditions include a deep wall blockage condition and a filter cake wall clean condition, the deep wall blockage condition is used to characterize the load condition of the inlet temperature of the diesel particle filter under the first test condition, and the filter cake wall clean condition is used to characterize the load condition of the inlet temperature of the diesel particle filter under the second test condition; then, according to the first inlet temperature and the first inlet pressure of the diesel particle filter, a first volume flow rate of diesel particles entering the diesel particle filter is determined, 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; further, based on the first linear equation, the linearity of the diesel particle filter is determined, and the linearity is used for selecting the diesel particle filter, and the smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particle filter with the smaller linearity.

[0017] The present invention takes into account that different forms of carbon form different back pressures in the DPF. Since the greater the deviation, the greater the potential error of the carbon load estimation model, DPF selection is performed through DPF linearity, aiming to select a DPF with small linearity. The present invention realizes DPF selection based on linearity, and the DPF selection error is small, thereby improving the calibration accuracy of the carbon load model. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 This is one of the flow charts of the method for selecting a diesel particulate filter provided by the present invention.

[0020] Figure 2 It is a schematic diagram of the data collection process provided by the present invention.

[0021] Figure 3 It is a schematic diagram of the linearity calculation results of the DPF provided by the present invention.

[0022] Figure 4 This is the second flow chart of the method for selecting a diesel particulate filter provided by the present invention.

[0023] Figure 5It is a structural schematic diagram of a diesel particulate filter selection device provided by the present invention.

[0024] Figure 6 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first" and "second" are generally a class, and the number of objects is not limited. For example, the first node can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally represents that the front and back associated objects are in an "or" relationship.

[0027] In order to more clearly understand the various embodiments provided by the present invention, the technical contents involved in the present invention are first introduced as follows: 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 precious metal catalysts, which enables it to effectively capture carbon soot particles and other particulate matter in diesel vehicle exhaust. 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 matter will gradually accumulate, causing the filter to become blocked, affecting the engine's performance and fuel economy.

[0028] DPF pressure differential carbon load model: The DPF pressure differential carbon load model is a model used to estimate the amount of soot (i.e. carbon load) accumulated inside the DPF. This model is crucial for determining the timing of DPF regeneration, because when the carbon load inside the DPF reaches a certain threshold, regeneration is required to avoid performance degradation and potential damage.

[0029] Combine the following Figure 1-Figure 6 The present invention describes a method, device, apparatus and storage medium for selecting a diesel particulate filter.

[0030] Figure 1 FIG. 1 is one of the flow charts of the method for selecting a diesel particulate filter provided by the present invention, such as Figure 1 As shown, the method includes the following: Step 101: When it is determined that the preset diesel particulate filter soot loading rate is met, first pressure drop data when the diesel particulate filter reaches a preset carbon loading under two different load conditions, as well as a first inlet temperature and a 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 clean 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 clean condition is used to characterize the load condition of the inlet temperature of the diesel particulate filter under the second test condition; Specifically, it should be noted that the executor 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 load model.

[0031] First, determine if the preset diesel particulate filter soot loading rate is met. For example, a soot loading rate of 1-1.5gpL / hr is used. The current trend in engine performance is that the particulate matter emissions at the aftertreatment inlet are very low, which makes it very difficult to load soot quickly and effectively. Therefore, it is necessary to perform 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 whether the preset diesel particulate filter soot loading rate is met. It is recommended to use a soot loading rate of 1-1.5gpL / hr. Loads below this rate increase the risk of PM oxidation in the DPF pores, making it difficult to achieve a true wall clogging load. Loads above this rate increase the risk of DPF face clogging, and large soot loads in front of the DPF will greatly increase back pressure (non-representative performance).

[0032] It is understood that there are two main forms of diesel particulate filter DPF particle filtration: 1. Depth filtration (pores); 2. Cake filtration (sieving). In depth filtration, soot is absorbed into the pores as the gas flows through. The amount of soot retained during depth filtration depends on the available pore volume (total filter volume and porosity). In cake filtration, the soot is deposited on the channel walls, forming a sieve-like layer with DPF pores. If the DPF were to be loaded with soot at low gas temperatures (less than 250 degrees Celsius DPF inlet), the DPF would first experience depth filtration (a non-linear increase in pressure drop with soot loading) and then cake formation on the walls (resulting in a linear increase in pressure drop due to soot loading). This line of pressure drop with soot (at constant volume flow) is called wall plugging. If at any point on this line the DPF is in conditions that favor passive oxidation (high NO2), the soot within the DPF walls will oxidize and the pressure drop will experience a non-linear drop. If all the soot in the pores is oxidized, the DPF will filter according to cake filtration (soot only on the walls) and is considered a wall-clean series. Fundamentally, at the same flow rate and soot loading, a wall-clean line will always have a lower pressure drop than a wall-plugged line.

[0033] When it is determined that a preset diesel particulate filter soot loading rate is met, first pressure drop data when the diesel particulate filter reaches a preset carbon loading under two different load conditions (deep wall plug and filter cake wall clean conditions) as well as a first inlet temperature and a first inlet pressure of the diesel particulate filter are obtained.

[0034] Among them, the two different load conditions include a deep wall plug condition and a filter cake wall clean condition. The deep wall plug condition is used to characterize the load condition of the inlet temperature of the diesel particulate filter under a first test condition, and the filter cake wall clean condition is used to characterize the load condition of the inlet temperature of the diesel particulate filter under a 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, care must be taken to ensure that the load condition does not increase too much in the expected soot load range due to an increase in back pressure causing the turbine output temperature to increase. The second test condition is, for example, a high passive oxidation condition, and the typical range at the DOC inlet is 350-400 degrees Celsius. It is also necessary to ensure some override to increase the engine output PM so that soot can be continuously placed on the wall to assist the wall cleaning process.

[0035] Figure 2 It is a schematic diagram of the data collection process provided by the present invention, such as Figure 2As shown, the collection of the first pressure drop data will be performed during an engine flow sweep, for example using a DeltaP sensor. It is not recommended to use a test cell based pressure drop measurement at this location unless you are able to 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 from low flow (low mass flow and temperature) to high flow for 5 minutes, with the DOC inlet temperature not exceeding 300 degrees Celsius if possible (to minimize soot oxidation in the filter). It is recommended to load the DPF and run some flow sweeps with a DPF weight before and after to check for the risk of soot oxidation during the sweep. Using higher temperatures during the DPF purge is only allowed if higher flow is required. The first inlet temperature of the diesel particulate filter can be acquired using a temperature sensor and the first inlet pressure can be acquired using a pressure sensor.

[0036] Optionally, in order to obtain an accurate DPF clean weight (for soot measurement purposes), it is necessary to have a procedure in place to ensure that no soot is left in the filter. This is accomplished via a passive regeneration step and an active regeneration step. The passive regeneration step is to maintain the engine at hot and NOx conditions to slowly reduce the soot load in the filter. This condition is typically maintained for 30 minutes. The active regeneration step is to maintain the nominal regeneration temperature at 575 degrees Celsius (DOC output temperature) for an additional 60 minutes. In order to collect non-calibration based soot load data, the DPF weighing must be performed on both clean and loaded filters. In order to avoid condensation in the filter affecting the accuracy of the weight, it is recommended that the DPF exhaust gases be heated to 140-160 degrees Celsius before closing and collecting the weight. The aim is to keep the filter at around 140 degrees Celsius during the weighing period, therefore allowing for higher warm-up temperatures to accommodate situations where DPF removal is more complex (warming above 250 degrees Celsius is not recommended for safety reasons). Please ensure that the weighing is performed within 20 minutes of reaching warm-up temperature to minimize the risk of condensation.

[0037] Step 102: determining a first volume flow rate of diesel particles entering the diesel particle filter according to a first inlet temperature and a first inlet pressure of the diesel particle filter; 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 based on the first inlet temperature and the first inlet pressure of the diesel particulate filter. For example, the first volume flow rate is calculated using the ideal gas law.

[0038] Step 103: 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; Specifically, the first back pressure curve is obtained by plotting the first pressure drop data and the first volume flow rate. It can be understood that two back pressure curves can correspond to the 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: loading the DPF for 2 hours (approximately equal to 2-3 gpL) under the wall plug condition, measuring the DPF soot load and performing a flow scan, regenerating the DPF and deep cleaning it to 0 gpL, loading the DPF to 4-5gpL under the wall plug condition, measuring the DPF soot load and performing a flow scan, and collecting data without obtaining an accurate soot load, only sufficient resolution is required to linearly interpolate to 5 gpL. An example of the process for generating a wall clean line is as follows: load for 1-2 hours based on wall blockage, then load for 3 hours under wall clean conditions until the pressure drop measurement stabilizes, measure the DPF soot load and perform a flow scan, repeat the above test steps to obtain 5 different soot amounts and flow scan data, and interpolate to obtain a 5g / L wall clean line.

[0039] Further, the first linear equation can be determined based on the first back pressure curve. After generating a relationship table between pressure drop and flow, the slope and intercept of the linear equation of each constant flow pipeline (where X is the soot load and Y is the pressure drop) are found to generate the first linear equation.

[0040] Step 104: Determine the linearity of the diesel particulate filter based on the first linear equation; the linearity is used to select the diesel particulate filter, and the smaller the linearity, the smaller the calibration error of the carbon load model based on the diesel particulate filter with the smaller linearity.

[0041] Specifically, the linearity of the diesel particle filter can be regarded as a noise-to-signal ratio, where the signal is the pressure drop range from clean to 5g / L soot load in the DPF, and the noise is the possible pressure drop range of 5g / L due to DPF wall blockage or wall cleanliness, that is, the back pressure difference corresponding to 5g / L of different forms of soot. The linearity in the present invention is used to select the diesel particle filter. The smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particle filter with smaller linearity.

[0042] The linearity of the diesel particulate filter can be determined based on the first linear equation. For example, the linearity of the diesel particulate filter can be calculated by the following formula:

[0043] in, represents the DPF linearity, which can be viewed as a noise-to-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 due to different forms of soot in the DPF 5 gpL. It represents the pressure drop of the wall plug pipeline at 5gpL. represents the pressure drop of the wall clean line at 5 gpL, DP0 represents the pressure drop without soot loading (under clean weight, obtained by weighing), and uDP5 represents the average pressure drop of the wall plugged and wall clean lines at 5 gpL.

[0044] The method provided in this embodiment obtains first pressure drop data when the diesel particle filter reaches a preset carbon load under two different load conditions, as well as a first inlet temperature and a first inlet pressure of the diesel particle filter, when it is determined that the preset diesel particle filter soot loading rate is met, wherein the two different load conditions include a deep wall blockage condition and a filter cake wall clean condition, the deep wall blockage condition is used to characterize the load condition of the inlet temperature of the diesel particle filter when the first test condition is met, and the filter cake wall clean condition is used to characterize the load condition of the inlet temperature of the diesel particle filter when the second test condition is met; then, according to the first inlet temperature and the first inlet pressure of the diesel particle filter, a first volume flow rate of diesel particles entering the diesel particle filter is determined, 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; further, based on the first linear equation, the linearity of the diesel particle filter is determined, and the linearity is used to select the diesel particle filter, and the smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particle filter with the smaller linearity.

[0045] The present invention takes into account that different forms of carbon form different back pressures in the DPF. Since the greater the deviation, the greater the potential error of the carbon load estimation model, the DPF selection is performed through the DPF linearity, aiming to select a DPF with small linearity. The present invention realizes DPF selection based on linearity, and the DPF selection error is small, thereby improving the calibration accuracy of the carbon load model.

[0046] According to a method for selecting a diesel particulate filter provided by the present invention, first pressure drop data when the diesel particulate filter reaches a preset carbon load under two different load conditions and a first inlet temperature and a first inlet pressure of the diesel particulate filter are obtained, including: Using a differential pressure sensor, measure the second pressure drop data corresponding to when the diesel particulate filter reaches a preset carbon load under deep wall clogging conditions, and the third pressure drop data corresponding to when the diesel particulate filter reaches a preset carbon load under filter cake wall cleaning conditions; Using a temperature sensor, measuring a second inlet temperature of the diesel particulate filter when the preset carbon load is reached under a filter cake wall clean condition, and a third inlet temperature of the diesel particulate filter when the preset carbon load is reached under a filter cake wall clean condition; Using a pressure sensor, measuring a second inlet pressure corresponding to when the diesel particulate filter reaches a preset carbon load under deep wall blockage conditions, and a third inlet pressure corresponding to when the diesel particulate filter reaches a preset carbon load under cake wall clean conditions; 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; The second inlet pressure and the third inlet pressure are determined as the first inlet pressure.

[0047] Specifically, in some embodiments, step 101 of obtaining the first pressure drop data when the diesel particulate filter reaches a preset carbon load under two different load conditions and the first inlet temperature and the first inlet pressure of the diesel particulate filter can be implemented in the following manner, the steps comprising: The present invention considers two load conditions, and thus, the pressure drop data, inlet temperature, and inlet pressure can be measured under test conditions corresponding to the two load conditions: First, the differential pressure sensor is used to measure the second pressure drop data corresponding to the preset carbon load when the diesel particulate filter reaches the preset carbon load under the condition of deep wall clogging, and the third pressure drop data corresponding to the preset carbon load when the filter cake wall is clean. The differential pressure sensor 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 the diesel particulate filter (DPF) system, the DeltaP sensor can be used to measure the pressure difference before and after the DPF to monitor the clogging 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 when it flows in the pipeline. The pressure change is proportional to the flow rate, so this principle can be used to measure the flow rate. This sensor usually installs a pressure gauge at both ends of the pipeline to measure the pressure change, and then calculates the flow rate based on the characteristics of the fluid (such as viscosity, density, etc.). The advantage of the DeltaP sensor is that it can provide very accurate flow data and can measure the flow rate in harsh environments, such as high temperature and high pressure.

[0048] Furthermore, a temperature sensor can be used to measure the second inlet temperature of the diesel particulate filter when the preset carbon load is reached under the condition of clean filter cake wall, and the third inlet temperature of the diesel particulate filter when the preset carbon load is reached under the condition of clean filter cake wall; a pressure sensor can be used to measure the second inlet pressure corresponding to the diesel particulate filter when the preset carbon load is reached under the condition of deep wall blockage, and the third inlet pressure corresponding to the diesel particulate filter when the preset carbon load is reached under the condition of clean filter cake wall.

[0049] Furthermore, the data measured under different load conditions are determined as first pressure drop data, first inlet temperature and first inlet pressure.

[0050] The method provided in this embodiment takes into account two load conditions, that is, considering the influence of different forms of carbon in the DPF on the back pressure, the pressure drop data, inlet temperature, and inlet pressure can be measured and obtained under the test conditions corresponding to the two load conditions. Then, a back pressure curve is plotted based on the data under the two load conditions, and the corresponding linearity is obtained based on the back pressure curve, which facilitates the subsequent selection of the DPF with small linearity and improves the calibration accuracy of the carbon loading model.

[0051] According to a method for selecting a diesel particulate filter provided by the present invention, a first volume flow rate of diesel particles entering the diesel particulate filter is determined according to a first inlet temperature and a first inlet pressure of the diesel particulate filter, comprising: Multiplying a first inlet temperature of a diesel particulate filter, a molar flow rate of exhaust gas, and a preset constant to obtain a multiplication result; The multiplication result is divided by the first inlet pressure to obtain a first volume flow rate of diesel particles entering the diesel particle filter.

[0052] Specifically, in some embodiments, step 102 may be implemented as follows: For example, the first volume flow rate of diesel particles entering the DPF is automatically calculated using the ideal gas law. Specifically, the first volume flow rate of diesel particles entering the diesel particle filter is calculated using the following formula (1): : (1)

[0053] in, represents the first volume flow of diesel particles entering the diesel particle filter, Indicates the molar flow rate of exhaust gas in mol / s. Assuming 29 mol / s, is a constant, usually R = 8.314*103[(m3*kPa) / (mol*k)], represents the first inlet temperature of the diesel particulate filter (unit: Celsius), Indicates the first inlet pressure (unit: kPa).

[0054] By calculating the first volume flow rate, a raw plot of first pressure drop data versus first volume flow rate (in 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 linearity. Thereafter, the slope and intercept of the linear equation for each constant flow line can be determined based on the relationship between the first pressure drop data and the first volume flow rate, thereby calculating linearity.

[0055] The method provided in this embodiment uses the ideal gas law to automatically calculate the first volume flow entering the DPF. Then, by calculating the first volume flow, an original graph of the first pressure drop data and the first volume flow can be generated. Thereafter, based on the relationship between the first pressure drop data and the first volume flow, the slope and intercept of the linear equation of each constant flow pipeline can be determined, and then the linearity can be calculated to achieve DPF selection based on linearity.

[0056] According to a method for selecting a diesel particulate filter provided by the present invention, a first back pressure curve is obtained by plotting according to first pressure drop data and a first volume flow rate, and a first linear equation is determined based on the first back pressure curve, including: Determine the first pressure drop data and the corresponding first volume flow rate as at least one data point; According to each data point, a first back pressure curve is drawn; Based on the slope and the intercept of the first backpressure curve, a first linear equation is determined.

[0057] Specifically, in some embodiments, in step 103, a first back pressure curve is plotted according to the first pressure drop data and the first volume flow rate, and determining the first linear equation based on the first back pressure curve can be achieved by the following steps, including: 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.

[0058] Furthermore, the first back pressure curve can be obtained by drawing each data point. For example, each data point is marked in a preset coordinate system, and then more data points can be obtained by interpolation, and then the multiple data points obtained by the interpolation method are connected in sequence to draw the first back pressure curve.

[0059] Based on the slope and the intercept of the first backpressure curve, a first linear equation is determined.

[0060] For example, the first linear equation is determined using the following formula: DP wp5=m wp ×SL×b wp

[0061] DP wc5 =m wc ×SL×b wc

[0062] where m and b are from the linear fit of the constant flow line of soot loading and pressure drop, and “SL” is the soot loading at which the linearity was calculated (5 gpL).

[0063] The method provided in this embodiment first determines the first pressure drop data and the corresponding first volume flow rate as at least one data point; then, according to each data point, a first back pressure curve is plotted; based on the slope and intercept of the first back pressure curve, a first linear equation is determined, so as to facilitate the subsequent determination of linearity based on the first linear equation, realize the DPF selection based on linearity, and improve the evaluation accuracy of the carbon loading model.

[0064] According to a method for selecting a diesel particulate filter provided by the present invention, based on a first linear equation, the linearity of the diesel particulate filter is determined, comprising: determining a second linear equation based on the second pressure drop data and the second volume flow rate; Determine a first pressure drop value of the wall-blocked pipeline at a 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 a preset carbon load according to the third linear equation; The linearity of the diesel particulate filter is determined 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-plugged line and the wall-cleaned line at a preset carbon loading.

[0065] Specifically, in some embodiments, step 104 may be implemented as follows: First, it can be understood that the first linear equation can be a linear equation corresponding to two load conditions. For example, the second linear equation is first determined according to the second pressure drop data and the second volume flow rate, and then the third linear equation is determined according to 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 is similar to the aforementioned process of determining the first linear equation based on the first pressure drop data and the first volume flow rate, and will not be repeated here.

[0066] Further, after the second linear equation and the third linear equation are determined, the linearity of the diesel particulate filter can be determined based on the second linear equation and the third linear equation. For example, the linearity of the diesel particulate filter is calculated using the following formula:

[0067] in, represents the DPF linearity, which can be viewed as a noise-to-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 due to different forms of soot in the DPF 5 gpL. It represents the pressure drop of the wall plug pipeline at 5gpL. represents the pressure drop of the wall clean line at 5 gpL, DP0 represents the pressure drop without soot loading (under clean weight, obtained by weighing), and uDP5 represents the average pressure drop of the wall plugged and wall clean lines at 5 gpL.

[0068] Here, it should be emphasized that the unit of pressure drop is usually kPa, but the linear factor is a unitless quantity, so it is more important to match the units of each item. The calculation results are intuitively displayed in Figure 3 middle, Figure 3 It is a schematic diagram of the linearity calculation results of the DPF provided by the present invention.

[0069] In 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 0-5g / L, and the noise is the back pressure difference corresponding to different forms of carbon soot at 5g / L. The linearity of the diesel particulate filter is determined based on the first linear equation, which facilitates the subsequent selection of the DPF with small linearity and improves the calibration accuracy of the carbon loading model.

[0070] According to a method for selecting a diesel particulate filter provided by the present invention, the method further comprises: Based on the linearity of diesel particulate filter, the calibration of diesel particulate filter is developed.

[0071] Specifically, in some embodiments, the method further includes: based on the linearity of the diesel particle filter, performing calibration development of the diesel particle filter. According to the linearity calculation formula of the diesel particle filter, the smaller the linearity, the smaller the noise. The smaller the linearity of the diesel particle filter, the higher the accuracy of the carbon load model calibration. A high-precision DPF carbon load model can avoid problems such as frequent regeneration and DPF burning.

[0072] Therefore, a diesel particulate filter with corresponding linearity can be selected according to actual needs to carry out calibration and development of the diesel particulate filter.

[0073] The method provided in this embodiment performs calibration and development of a diesel particulate filter based on the linearity of the diesel particulate filter, and can select a DPF with a small linearity to improve the calibration accuracy of the carbon load model.

[0074] Figure 4 FIG. 2 is a flow chart of the method for selecting a diesel particulate filter provided by the present invention. Figure 4 As shown, the method includes: First, the flow rate under two load conditions was scanned to obtain the back pressure curve. The two load conditions included: deep carbon accumulation to 5 g / L and filter cake carbon accumulation to 5 g / L.

[0075] Furthermore, the linearity of the diesel particulate filter is calculated.

[0076] Further, it is determined whether the diesel particulate filter meets the development requirements, and if so, the calibration development of the diesel particulate filter is performed.

[0077] The following is a description of a diesel particle filter selection device provided by the present invention. The diesel particle filter selection device described below and the diesel particle filter selection method described above can be referred to each other.

[0078] Figure 5 Schematic diagram of the structure of the diesel particulate filter selection device provided by the present invention, such as Figure 5 As shown, the diesel particulate filter selection device 500 includes the following modules: The acquisition module 510 is used to acquire, when it is determined that the preset diesel particulate filter soot loading rate is met, first pressure drop data when the diesel particulate filter reaches a preset carbon loading under two different load conditions, as well as a first inlet temperature and a first inlet pressure of the diesel particulate filter; the two different load conditions include a deep wall blocking condition and a filter cake wall cleaning condition; A selection module 520, configured to determine a first volume flow rate of diesel particles entering the diesel particle filter according to a first inlet temperature and the first inlet pressure of the diesel particle filter; According to the first pressure drop data and the first volume flow rate, a first back pressure curve is obtained by plotting, and a first linear equation is determined based on the first back pressure curve; Based on the first linear equation, the linearity of the diesel particulate filter is determined; the linearity is used to select 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 smaller linearity.

[0079] The device provided in this embodiment is used for obtaining the first pressure drop data when the diesel particle filter reaches the preset carbon load under two different load conditions, as well as the first inlet temperature and the first inlet pressure of the diesel particle filter, when it is determined that the preset diesel particle filter soot loading rate is met. The two different load conditions include a deep wall blockage condition and a filter cake wall clean condition. The deep wall blockage condition is used to characterize the load condition of the inlet temperature of the diesel particle filter under the first test condition, and the filter cake wall clean condition is used to characterize the load condition of the inlet temperature of the diesel particle filter under the second test condition. Then, the selection module 520 is used to determine the first volume flow rate of diesel particles entering the diesel particle filter according to the first inlet temperature and the first inlet pressure of the diesel particle filter, and to plot a first back pressure curve according to the first pressure drop data and the first volume flow rate, and to determine a first linear equation based on the first back pressure curve. Furthermore, based on the first linear equation, the linearity of the diesel particle filter is determined, and the linearity is used for selecting the diesel particle filter. The smaller the linearity, the smaller the calibration error of the carbon loading model based on the diesel particle filter with the smaller linearity.

[0080] The present invention takes into account that different forms of carbon form different back pressures in the DPF. Since the greater the deviation, the greater the potential error of the carbon load estimation model, the DPF selection is performed through the DPF linearity, aiming to select a DPF with small linearity. The present invention realizes DPF selection based on linearity, and the DPF selection error is small, thereby improving the calibration accuracy of the carbon load model.

[0081] According to a diesel particulate filter selection device 500 provided by the present invention, the acquisition module 510 is specifically used for: Using a differential pressure sensor, measuring and obtaining a second pressure drop data corresponding to when the diesel particulate filter reaches the preset carbon load under the deep wall blocking condition, and a third pressure drop data corresponding to when the diesel particulate filter reaches the preset carbon load under the filter cake wall cleaning condition; Using a temperature sensor, measuring a second inlet temperature of the diesel particulate filter when the preset carbon load is reached under the filter cake wall cleaning condition, and a third inlet temperature of the diesel particulate filter when the preset carbon load is reached under the filter cake wall cleaning condition; Using a pressure sensor, measuring a second inlet pressure corresponding to when the diesel particulate filter reaches the preset carbon load under the deep wall blocking condition, and a third inlet pressure corresponding to when the diesel particulate filter reaches the preset carbon load 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; determining the second inlet temperature and the third inlet temperature as the first inlet temperature; The second inlet pressure and the third inlet pressure are determined as the first inlet pressure.

[0082] According to a diesel particulate filter selection device 500 provided by the present invention, the selection module 520 is specifically used for: multiplying 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; The multiplication result is divided by the first inlet pressure to obtain a first volume flow rate of diesel particles entering the diesel particle filter.

[0083] According to a diesel particulate filter selection device 500 provided by the present invention, the selection module 520 is further used for: Determine the first pressure drop data and the corresponding first volume flow rate as at least one data point; According to each of the data points, the first back pressure curve is obtained by drawing; The first linear equation is determined based on the slope and the intercept of the first backpressure curve.

[0084] According to a method for selecting a diesel particulate filter provided by the present invention, the selection module 520 is further used for: Determine a second linear equation based on the second pressure drop data and the second volume flow rate; Determining a first pressure drop value of the wall-blocked 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; The linearity of the diesel particulate filter is determined 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-blocked line and the wall-cleaned line at the preset carbon load.

[0085] According to a method for selecting a diesel particulate filter provided by the present invention, the device further comprises a calibration development module; The calibration development module is specifically used for: Based on the linearity of the diesel particulate filter, calibration development of the diesel particulate filter is performed.

[0086] Figure 6 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 6As shown, the electronic device may include: a processor 610, a communications interface 620, a memory 630 and a communication bus 640, wherein the processor 610, the communications interface 620 and the memory 630 communicate with each other via the communication bus 640. The processor 610 may call the logic instructions in the memory 630 to execute the method for selecting a diesel particulate filter, which method includes: In the case of determining that the preset diesel particulate filter soot loading rate is met, obtaining the first pressure drop data when the diesel particulate filter reaches the preset carbon loading under two different load conditions and 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 clean 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 clean condition is used to characterize the load condition of the inlet temperature of the diesel particulate filter under the second test condition; determining a first volume flow rate of diesel particles entering the diesel particle filter according to a first inlet temperature of the diesel particle filter and the first inlet pressure; According to the first pressure drop data and the first volume flow rate, a first back pressure curve is obtained by plotting, and a first linear equation is determined based on the first back pressure curve; Based on the first linear equation, the linearity of the diesel particulate filter is determined; the linearity is used to select 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 smaller linearity.

[0087] In addition, the logic instructions in the above-mentioned memory 630 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0088] On the other hand, the present invention further provides a computer program product, the computer program product includes a computer program, the computer program can be stored in a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the diesel particulate filter selection method provided by the above methods, the method comprising: In the case of determining that the preset diesel particulate filter soot loading rate is met, obtaining the first pressure drop data when the diesel particulate filter reaches the preset carbon loading under two different load conditions and 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 clean 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 clean condition is used to characterize the load condition of the inlet temperature of the diesel particulate filter under the second test condition; determining a first volume flow rate of diesel particles entering the diesel particle filter according to a first inlet temperature of the diesel particle filter and the first inlet pressure; According to the first pressure drop data and the first volume flow rate, a first back pressure curve is obtained by plotting, and a first linear equation is determined based on the first back pressure curve; Based on the first linear equation, the linearity of the diesel particulate filter is determined; the linearity is used to select 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 smaller linearity.

[0089] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to perform the diesel particulate filter selection method provided by the above methods, the method comprising: In the case of determining that the preset diesel particulate filter soot loading rate is met, obtaining the first pressure drop data when the diesel particulate filter reaches the preset carbon loading under two different load conditions and 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 clean 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 clean condition is used to characterize the load condition of the inlet temperature of the diesel particulate filter under the second test condition; determining a first volume flow rate of diesel particles entering the diesel particle filter according to a first inlet temperature of the diesel particle filter and the first inlet pressure; According to the first pressure drop data and the first volume flow rate, a first back pressure curve is obtained by plotting, and a first linear equation is determined based on the first back pressure curve; Based on the first linear equation, the linearity of the diesel particulate filter is determined; the linearity is used to select 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 smaller linearity.

[0090] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0091] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for 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.

[0092] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions 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: include: In the case of determining that the preset diesel particulate filter soot loading rate is met, obtaining the first pressure drop data when the diesel particulate filter reaches the preset carbon loading under two different load conditions and 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 clean 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 clean condition is used to characterize the load condition of the inlet temperature of the diesel particulate filter under the second test condition; determining a first volume flow rate of diesel particles entering the diesel particle filter according to a first inlet temperature of the diesel particle filter and the first inlet pressure; According to the first pressure drop data and the first volume flow rate, a first back pressure curve is obtained by plotting, and a first linear equation is determined based on the first back pressure curve; determining a linearity of the diesel particulate filter based on the first linear equation; The linearity is used for selecting a diesel particulate filter. The smaller the linearity is, the smaller the calibration error of the carbon load model based on the diesel particulate filter with the smaller linearity is.

2. The method for selecting a diesel particulate filter according to claim 1, characterized in that: The obtaining of first pressure drop data when the diesel particulate filter reaches a preset carbon load under two different load conditions and a first inlet temperature and a first inlet pressure of the diesel particulate filter comprises: Using a differential pressure sensor, measuring and obtaining a second pressure drop data corresponding to when the diesel particulate filter reaches the preset carbon load under the deep wall blocking condition, and a third pressure drop data corresponding to when the diesel particulate filter reaches the preset carbon load under the filter cake wall cleaning condition; Using a temperature sensor, measuring a second inlet temperature of the diesel particulate filter when the preset carbon load is reached under the filter cake wall cleaning condition, and a third inlet temperature of the diesel particulate filter when the preset carbon load is reached under the filter cake wall cleaning condition; Using a pressure sensor, measuring a second inlet pressure corresponding to when the diesel particulate filter reaches the preset carbon load under the deep wall blocking condition, and a third inlet pressure corresponding to when the diesel particulate filter reaches the preset carbon load 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; determining the second inlet temperature and the third inlet temperature as the first inlet temperature; The second inlet pressure and the third inlet pressure are determined as the first inlet pressure.

3. The method for selecting a diesel particulate filter according to claim 1, characterized in that: The step of determining a first volume flow rate of diesel particles entering the diesel particle filter according to a first inlet temperature and a first inlet pressure of the diesel particle filter comprises: multiplying 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; The multiplication result is divided by the first inlet pressure to obtain a first volume flow rate of diesel particles entering the diesel particle filter.

4. The method for selecting a diesel particulate filter according to claim 1, characterized in that: The step of obtaining a first back pressure curve by drawing 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: Determine the first pressure drop data and the corresponding first volume flow rate as at least one data point; According to each of the data points, the first back pressure curve is obtained by drawing; The first linear equation is determined based on the slope and the intercept of the first backpressure curve.

5. The method for selecting a diesel particulate filter according to claim 2, characterized in that: Determining the linearity of the diesel particulate filter based on the first linear equation includes: Determine a second linear equation based on the second pressure drop data and the second volume flow rate; Determining a first pressure drop value of the wall-blocked 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; The linearity of the diesel particulate filter is determined 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-blocked line and the wall-cleaned line at the preset carbon loading.

6. The method for selecting a diesel particulate filter according to any one of claims 1 to 5, characterized in that: The method further comprises: Based on the linearity of the diesel particulate filter, calibration development of the diesel particulate filter is performed.

7. A diesel particulate filter selection device, characterized in that: include: an acquisition module, for acquiring, when it is determined that the preset diesel particulate filter soot loading rate is met, first pressure drop data when the diesel particulate filter reaches a preset carbon loading under two different load conditions, as well as a first inlet temperature and a first inlet pressure of the diesel particulate filter; the two different load conditions include a deep wall plugging 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 particle filter according to a first inlet temperature and the first inlet pressure of the diesel particle filter; According to the first pressure drop data and the first volume flow rate, a first back pressure curve is obtained by plotting, and a first linear equation is determined based on the first back pressure curve; determining a linearity of the diesel particulate filter based on the first linear equation; The linearity is used for selecting a diesel particulate filter. The smaller the linearity is, the smaller the calibration error of the carbon load model based on the diesel particulate filter with the smaller linearity is.

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

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

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

Images