Carbon loading capacity control method and device of integrated oxidation trap and vehicle

Abstract

The invention provides a carbon loading capacity control method and device of an integrated oxidation trap and a vehicle, and relates to the technical field of vehicle aftertreatment, the current carbon loading capacity of the DDPF is calculated by collecting the pressure difference between the two ends of a tail gas inlet port and a tail gas outlet port of the DDPF and the volume flow of waste gas flowing into the DDPF, and meanwhile the current carbon loading capacity of the DDPF is calculated on the basis of the average temperature of the DDPF. And determining a temperature coefficient of the integrated oxidation trap, and triggering DDPF regeneration to control the carbon loading capacity when the temperature coefficient is within a preset range and the current carbon loading capacity exceeds a preset carbon loading capacity threshold value. According to the method, the carbon loading capacity and the temperature coefficient serve as the basis for triggering DPF active regeneration, the purpose of improving the carbon loading capacity judgment accuracy is achieved, the technical problem that in the prior art, DPF regeneration control is low in accuracy is solved, and then the technical effect of improving the DPF regeneration control accuracy is achieved.

Description

Technical Field

[0001] The present application relates to the field of vehicle after-treatment technology, and in particular to a carbon load control method and device for an integrated oxidation trap, and a vehicle. Background Art

[0002] In the vehicle's exhaust after-treatment system, since the DDPF (integrated oxidation trap) directly faces the exhaust gas discharged by the engine, a large amount of SOF will accumulate on the DDPF, causing the carbon load to frequently trigger regeneration, or the SOF to burn violently in the early stage of regeneration and damage the DDPF.

[0003] Existing methods for controlling carbon loading in diesel particulate filters (DPFs) primarily include various techniques, including model-based estimation, differential pressure sensor measurement, and the use of gas flow sensors. However, existing control methods present several challenges. For example, model-based methods require high parameter accuracy, and complex operating conditions can lead to discrepancies between model estimates and actual values. Sensor-based methods, on the other hand, can be affected by sensor accuracy and mounting position, resulting in inaccurate measurement results. These issues can impact the accuracy and efficiency of DPF regeneration control, and consequently, its service life and fuel economy. Summary of the Invention

[0004] In view of this, the present application provides a carbon load control method, device and vehicle for an integrated oxidation trap, which solves the technical problem of low accuracy of DPF regeneration control in the prior art.

[0005] In order to achieve the above-mentioned objectives, the present application provides the following technical solutions: the current carbon load of the integrated oxidation trap is calculated based on the pressure difference between the exhaust gas inlet port and the exhaust port of the integrated oxidation trap, and the exhaust gas volume flow rate flowing into the integrated oxidation trap; the temperature coefficient of the integrated oxidation trap is determined based on the average temperature of the integrated oxidation trap; if the temperature coefficient is within a preset range and the current carbon load exceeds the preset carbon load threshold, the regeneration of the integrated oxidation trap is triggered to control the carbon load.

[0006] In one embodiment of the present application, the current carbon load of the integrated oxidation trap is calculated based on the pressure difference between the exhaust gas inlet port and the exhaust port of the integrated oxidation trap, and the exhaust gas volume flow rate flowing into the integrated oxidation trap, including: querying a first calibration table for the pressure difference between the two ends and the exhaust gas volume flow rate to obtain the initial carbon load of the integrated oxidation trap, wherein the first calibration table includes a predetermined correlation relationship between the pressure difference between the two ends, the exhaust gas volume flow rate and the carbon load; correcting the initial carbon load based on the average temperature to obtain a corrected carbon load; calculating the difference between the corrected carbon load and the carbon load at the previous moment to obtain a carbon load deviation, wherein the carbon load at the previous moment is stored in the electronic control unit; and obtaining the current carbon load based on the carbon load deviation.

[0007] In one embodiment of the present application, the current carbon loading is obtained based on the carbon loading deviation, including: calculating the product of the carbon loading deviation and the exhaust gas volume flow rate to obtain the carbon loading change rate; integrating the carbon loading at the previous moment and the carbon loading change rate to obtain the current carbon loading.

[0008] In one embodiment of the present application, after calculating the current carbon load of the integrated oxidation trap based on the pressure difference between the exhaust gas inlet port and the exhaust port of the integrated oxidation trap and the exhaust gas volume flow rate flowing into the integrated oxidation trap, the method includes: storing the carbon load in an electronic control unit.

[0009] In one embodiment of the present application, the method further includes: if the temperature coefficient exceeds an upper limit of a preset range, triggering a thermal management instruction to remove soluble organic matter in the integrated oxidation trap.

[0010] In one embodiment of the present application, after clearing the soluble organic matter in the integrated oxidation trap, the method further includes: resetting the temperature coefficient to 0.

[0011] In one embodiment of the present application, the temperature coefficient of the integrated oxidation trap is determined based on the average temperature of the integrated oxidation trap, including: querying a second calibration table for the average temperature to obtain a time factor corresponding to the average temperature, wherein the second calibration table includes a correlation between a pre-set temperature and time factor; obtaining a trend graph of the temperature coefficient changing with the time factor; and determining the temperature coefficient corresponding to the time factor based on the trend graph.

[0012] In one embodiment of the present application, obtaining a trend graph of the temperature coefficient changing with the time factor includes: querying a second calibration table for multiple average temperatures at multiple moments to obtain multiple time factors corresponding to the multiple average temperatures, wherein the second calibration table includes a pre-set correlation between the temperature and the time factor; accumulating multiple time factors corresponding to the multiple average temperatures to obtain a trend graph of the temperature coefficient changing with the time factor.

[0013] As a second aspect of the present application, the present application further provides a carbon loading control device for an integrated oxidation trap, comprising a controller for executing any of the above-mentioned carbon loading control methods for an integrated oxidation trap.

[0014] As a third aspect of the present application, the present application further provides a vehicle, comprising: an integrated oxidation trap; an engine; and the above-mentioned carbon load control device.

[0015] The carbon load control method for an integrated oxidation trap provided in this application calculates the current carbon load of the DDPF by measuring the pressure difference between the exhaust gas inlet and outlet ports of the DDPF, as well as the volumetric flow rate of exhaust gas flowing into the DDPF. Simultaneously, the temperature coefficient of the integrated oxidation trap is determined based on the average temperature of the DDPF. When the temperature coefficient is within a preset range and the current carbon load exceeds a preset carbon load threshold, DDPF regeneration is triggered to control the carbon load. This application uses the carbon load and temperature coefficient as the basis for triggering active DDPF regeneration, thereby improving the accuracy of carbon load determination and, consequently, achieving the technical effect of increasing the accuracy of DDPF regeneration control. This resolves the technical issue of low accuracy in DPF regeneration control in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in 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 merely embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without any creative work.

[0017] Figure 1 Shown is a flow chart of a carbon loading control method for an integrated oxidation trap provided in one embodiment of the present application.

[0018] Figure 2 FIG. 1 is a system diagram of a DDPF provided in an embodiment of the present application.

[0019] Figure 3 FIG. 1 is a schematic diagram of calculating the carbon loading of DDPF provided in one embodiment of the present application.

[0020] Figure 4 FIG. 1 is a schematic diagram of a DDPF temperature coefficient according to an embodiment of the present application.

[0021] Figure 5 Shown is a schematic diagram of a carbon loading control device of an integrated oxidation trap provided in one embodiment of the present application.

[0022] Figure 6 Shown is a schematic diagram of a vehicle provided in one embodiment of the present application. DETAILED DESCRIPTION

[0023] In the vehicle's exhaust after-treatment system, since the DDPF directly faces the exhaust gas discharged by the engine, a large amount of SOF will accumulate on the DDPF, causing the carbon load to frequently trigger regeneration, or the SOF to burn violently in the early stage of regeneration and damage the DDPF.

[0024] Existing DPF carbon load control methods primarily include model-based estimation, differential pressure sensor measurement, and the use of gas flow sensors. However, existing control methods present several challenges. For example, model-based methods require high parameter accuracy, and complex operating conditions can lead to discrepancies between model estimates and actual values. Sensor-based methods, on the other hand, can be affected by sensor accuracy and mounting position, leading to inaccurate measurement results. These issues can impact the accuracy and efficiency of DPF regeneration control, and consequently, its service life and fuel economy.

[0025] After research, the inventors of this application have proposed a method for calculating the current carbon load of the DDPF by measuring the pressure difference between the exhaust inlet and outlet ports of the DDPF, as well as the volumetric flow rate of exhaust gas flowing into the DDPF. Simultaneously, the temperature coefficient of the integrated oxidation trap is determined based on the average temperature of the DDPF. When the temperature coefficient is within a preset range and the current carbon load exceeds a preset carbon load threshold, DDPF regeneration is triggered to control the carbon load. This application uses the carbon load and temperature coefficient as the basis for triggering active DDPF regeneration, thereby improving the accuracy of carbon load determination and, consequently, the accuracy of DDPF regeneration control. This method addresses the low accuracy of DPF regeneration control in the prior art.

[0026] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0027] As a first aspect of the present application, the present application provides a method for controlling the carbon load of an integrated oxidation trap. Figure 1 FIG. 1 is a flow chart of a carbon load control method for an integrated oxidation trap according to an embodiment of the present application. Figure 1 As shown, the carbon loading control method includes the following steps: Step S101, calculating the current carbon load of the integrated oxidation trap according to the pressure difference between the exhaust gas inlet port and the exhaust gas outlet port of the integrated oxidation trap and the exhaust gas volume flow rate flowing into the integrated oxidation trap; Specifically, the above-mentioned integrated oxidation trap can be understood as integrating the functions of DPF and DOC, that is, coating the catalyst of DOC formula and the catalyst of DPF formula in separate areas, taking into account the functions of both, and achieving the purpose of reducing the volume and cost of the DOC / DPF system by integrating the functions of DPF and DOC.

[0028] Figure 2 FIG. 1 is a schematic diagram of a DDPF system according to an embodiment of the present application. Figure 2 As shown, the DDPF system includes T1, T2, T3 and T4, wherein T1 is the temperature sensor at the exhaust gas inlet port of the DDPF, T2 is the pressure difference sensor at both ends of the exhaust gas inlet port and the exhaust port of the DDPF, T3 is the temperature sensor at the exhaust gas exhaust port of the DDPF, and T4 is the DDPF device.

[0029] The pressure difference between the exhaust gas inlet port and the exhaust gas outlet port can be measured by Figure 2 The T2 is collected.

[0030] The exhaust gas volume flow rate can be calculated by dividing the exhaust gas mass flow rate by the current exhaust gas density. The exhaust gas density is calculated using the gas state equation ρ = P / (RT), where ρ represents the exhaust gas density, P represents the exhaust gas pressure, R represents the ideal exhaust gas constant, and T represents the absolute temperature of the exhaust gas.

[0031] In an optional embodiment, in order to control the carbon loading of the DDPF, it is necessary to make a judgment based on the current carbon loading of the DDPF. Therefore, the present application can obtain the current carbon loading of the DDPF by calculating the pressure difference between the exhaust gas inlet port and the exhaust port of the DDPF, as well as the volume flow rate of the exhaust gas flowing into the DDPF, and then control the carbon loading of the DDPF based on the current carbon loading.

[0032] Specifically, in the process of calculating the pressure difference between the exhaust inlet port and the exhaust port of the DDPF, as well as the exhaust volume flow rate flowing into the DDPF, the following steps are generally required: Establishing the MAP relationship, MAP1 (carbon rapid accumulation condition): through the actual engine measured data, select the conditions of high smoke emission rate and low passive regeneration rate, and quickly perform the DDPF carbon accumulation process. When the carbon accumulates to a specific carbon load, measure the current DDPF pressure difference and exhaust gas flow characteristic relationship, and fill these data into the MAP1 table; MAP2 (rapid passive regeneration condition): after rapid passive regeneration, measure different carbon loads. Measure the corresponding relationship between the pressure difference at both ends of the DDPF and the exhaust gas flow rate, and fill in the MAP2 table; measure and calculate, measure the pressure difference and exhaust gas flow rate: use the sensor to measure the pressure difference (ΔP) and exhaust gas volume flow rate (V) before and after the DDPF; calculate the credibility factor (f): determine the credibility factor (f) of the pressure difference and exhaust gas flow characteristics (PV1) at high smoke emission rate and low passive regeneration rate based on the carbon accumulation change (r). The credibility factor (f) is used to evaluate the degree to which the carbon load inside the DDPF is affected by passive regeneration; calculate the corresponding relationship (PV) between the current pressure difference and exhaust gas flow rate, and calculate the corresponding relationship between the current pressure difference and exhaust gas flow rate through the formula PV = MAP1 × f + MAP2 × (1 - f); estimate the carbon load, and estimate the carbon load of the DDPF based on the current exhaust gas flow rate and the pressure difference at both ends of the DDPF by looking up the table or calculating the PV relationship.

[0033] S102, determining a temperature coefficient of the integrated oxidation trap according to an average temperature of the integrated oxidation trap; Specifically, the above average temperature can be obtained by Figure 2 T1 and T3 are collected.

[0034] The temperature coefficient can be used to reflect the presence of SOF within the DDPF or the degree of SOF accumulation within the DDPF. Generally, the lower the average temperature within the DDPF, the larger the corresponding temperature coefficient. Conversely, the higher the average temperature within the DDPF, the smaller the corresponding temperature coefficient.

[0035] In an optional embodiment, in the process of determining the temperature coefficient of the integrated oxidation trap based on the average temperature of the DDPF, the correlation relationship table between the pre-set temperature and time factor can be searched through the average temperature of the DDPF to obtain the time factor corresponding to the average temperature of the DDPF, and at the same time, based on the trend graph of the temperature coefficient changing with the time factor, the temperature coefficient corresponding to the above-mentioned time factor is determined.

[0036] S103: If the temperature coefficient is within a preset range and the current carbon load exceeds a preset carbon load threshold, regeneration of the integrated oxidation trap is triggered to control the carbon load.

[0037] Specifically, the above-mentioned preset range can be used to represent the range included in the preset lower limit value and upper limit value of the temperature coefficient. For example, the lower limit value of the temperature coefficient can be 0, and the upper limit value of the temperature coefficient can be 1. When the lower limit value of the temperature coefficient is 0, it means that there is currently no SOF inside the DDPF. When the upper limit value of the temperature coefficient is 1, it means that the current SOF inside the DDPF has accumulated to the limit and it is necessary to trigger low-temperature thermal management to clear it.

[0038] The aforementioned preset carbon loading threshold can be used to represent a predetermined cumulative carbon loading within the DDPF. For example, it can be 3.5 g / L or 4 g / L. The preset carbon loading threshold is not specifically set here and can be adjusted based on actual circumstances.

[0039] In an optional embodiment, after obtaining the current carbon load and temperature coefficient of the DDPF, it is necessary to judge the current carbon load and temperature coefficient. That is, when the temperature coefficient is within a preset range and the current carbon load exceeds the preset carbon load threshold, it means that the carbon load accumulated inside the DDPF is too high and the carbon deposits need to be removed. At this time, the DDPF regeneration can be triggered to control the carbon load.

[0040] Specifically, when triggering DDPF regeneration to control carbon load, carbon deposits are not limited to passive or active regeneration methods. Active regeneration refers to the use of external energy to increase the temperature within the DDPF, causing the particulate matter to ignite and burn. When the temperature in the DDPF reaches 550°C, the deposited particulate matter will oxidize and burn. If the temperature does not reach 550°C, excessive deposits will clog the filter. At this time, it is necessary to use external energy (such as an electric heater, burner, or changes in engine operating conditions) to increase the temperature within the DDPF to oxidize and burn the particulate matter. Passive regeneration refers to the use of fuel additives or catalysts to lower the ignition temperature of the particulate matter so that the particulate matter can ignite and burn at normal engine exhaust temperatures. Additives (including cerium, iron, and strontium) must be added to the fuel in a certain proportion. Too much additive has little effect, but too little additive can lead to delayed regeneration or increased regeneration temperature.

[0041] In addition, the DDPF regeneration method can be determined based on a preset carbon loading threshold. For example, when the DDPF carbon loading exceeds 3.5 g / L, passive regeneration can be used to remove carbon deposits; when the DDPF carbon loading exceeds 4 g / L, active regeneration can be used to remove carbon deposits. The DDPF regeneration method is not strictly limited and can be adjusted based on actual conditions.

[0042] The carbon load control method for an integrated oxidation trap provided in this application calculates the current carbon load of the DDPF by measuring the pressure difference between the exhaust gas inlet and outlet ports of the DDPF, as well as the volumetric flow rate of exhaust gas flowing into the DDPF. Simultaneously, the temperature coefficient of the integrated oxidation trap is determined based on the average temperature of the DDPF. When the temperature coefficient is within a preset range and the current carbon load exceeds a preset carbon load threshold, DDPF regeneration is triggered to control the carbon load. This application uses the carbon load and temperature coefficient as the basis for triggering active DDPF regeneration, thereby improving the accuracy of carbon load determination and, consequently, achieving the technical effect of increasing the accuracy of DDPF regeneration control. This resolves the technical issue of low accuracy in DPF regeneration control in the prior art.

[0043] In one embodiment of the present application, the current carbon load of the integrated oxidation trap is calculated based on the pressure difference between the exhaust gas inlet port and the exhaust port of the integrated oxidation trap, and the exhaust gas volume flow rate flowing into the integrated oxidation trap, including: querying a first calibration table for the pressure difference between the two ends and the exhaust gas volume flow rate to obtain the initial carbon load of the integrated oxidation trap, wherein the first calibration table includes a predetermined correlation relationship between the pressure difference between the two ends, the exhaust gas volume flow rate and the carbon load; correcting the initial carbon load based on the average temperature to obtain a corrected carbon load; calculating the difference between the corrected carbon load and the carbon load at the previous moment to obtain a carbon load deviation, wherein the carbon load at the previous moment is stored in the electronic control unit; and obtaining the current carbon load based on the carbon load deviation.

[0044] Specifically, the aforementioned initial carbon loading can be used to represent the initial carbon loading inside the DDPF, and can be obtained by searching a first calibration table based on the pressure difference between the two ends and the exhaust gas volume flow rate.

[0045] The above-mentioned corrected carbon loading can be used to represent the carbon loading obtained by correcting the initial carbon loading using the average temperature of the DDPF.

[0046] The carbon load at the previous moment mentioned above can be obtained through data stored in an ECU (Electronic Control Unit).

[0047] It should be noted that the carbon load of the DDPF at any moment can be stored in the engine ECU after the ECU is powered off, so that the carbon load at the previous moment can be used as the initial value for calculating the carbon load integral at the current moment.

[0048] In an optional embodiment, in the process of calculating the current carbon load of the integrated oxidation trap based on the pressure difference between the exhaust gas inlet port and the exhaust port of the integrated oxidation trap, and the exhaust gas volume flow rate flowing into the integrated oxidation trap, it is first necessary to look up the table to obtain the initial carbon load of the DDPF based on the pressure difference between the two ends and the exhaust gas volume flow rate, and at the same time use the average temperature of the DDPF to correct the initial carbon load to obtain the corrected carbon load, and then subtract the carbon load at the previous moment from the corrected carbon load to obtain the carbon load deviation, so that the current carbon load of the DDPF is finally calculated based on the carbon load deviation.

[0049] Figure 3 The figure shows a schematic diagram of the calculation of the carbon loading of DDPF provided in one embodiment of the present application. Figure 3 As shown, the DDPF carbon load is calculated by the pressure difference and volume flow to obtain the initial carbon load, and the initial carbon load is corrected based on the average temperature of the DDPF to obtain the corrected carbon load. At the same time, the corrected carbon load is subtracted from the carbon load at the previous moment to obtain the carbon load deviation, and then the current carbon load of the DDPF is calculated by the carbon load deviation.

[0050] In one embodiment of the present application, the current carbon loading is obtained based on the carbon loading deviation, including: calculating the product of the carbon loading deviation and the exhaust gas volume flow rate to obtain the carbon loading change rate; integrating the carbon loading at the previous moment and the carbon loading change rate to obtain the current carbon loading.

[0051] Specifically, if Figure 3 As shown, in the process of calculating the current carbon loading of DDPF through carbon loading deviation, the carbon loading deviation can be multiplied by the product of the exhaust gas volume flow rate to obtain the carbon loading change rate, and then the carbon loading at the previous moment is used as the initial value of the integral operation. The above carbon loading change rate is integrated over time to obtain the current carbon loading of DDPF.

[0052] In one embodiment of the present application, after calculating the current carbon load of the integrated oxidation trap based on the pressure difference between the exhaust gas inlet port and the exhaust port of the integrated oxidation trap and the exhaust gas volume flow rate flowing into the integrated oxidation trap, the method includes: storing the carbon load in an electronic control unit.

[0053] Specifically, after calculating the current carbon load of the DDPF, it needs to be stored in the ECU. It's important to note that the current carbon load stored in the ECU not only serves as the initial value for carbon load calculation the next time the ECU is powered on, but also allows for real-time monitoring of changes in the carbon load. When the carbon load reaches a preset threshold, the ECU can promptly trigger the regeneration process. For example, when the DPF carbon load reaches a set value, the ECU activates regeneration and enters regeneration control mode. This precise control prevents DDPF clogging due to excessive carbon load, while also reducing unnecessary regenerations and lowering fuel consumption.

[0054] In one embodiment of the present application, the method further includes: if the temperature coefficient exceeds an upper limit of a preset range, triggering a thermal management instruction to remove soluble organic matter in the integrated oxidation trap.

[0055] Specifically, the thermal management instruction may be used to indicate an instruction to remove soluble organic matter (SOF) in the DDPF.

[0056] In an optional embodiment, if the engine ECU detects that the DDPF temperature coefficient exceeds a preset upper limit, it can trigger thermal management instructions to control engine operating parameters to increase exhaust temperature, thereby promoting SOF oxidation. Specifically, these include adjusting combustion parameters: the ECU can adjust the injection advance angle, injection amount, and rail pressure to increase exhaust temperature; reducing intake air volume by adjusting the throttle or intake valve opening to increase exhaust temperature; and post-injection: during engine operation, the ECU can control post-injection to increase the HC concentration in the exhaust. Combustion of these HC in the DDPF can increase the local temperature and facilitate SOF removal.

[0057] In one embodiment of the present application, after clearing the soluble organic matter in the integrated oxidation trap, the method further includes: resetting the temperature coefficient to 0.

[0058] Specifically, after the soluble organic matter SOF in the DDPF is cleared, the temperature coefficient needs to be reset to 0, that is, the temperature coefficient of the DDPF needs to be reset to an initial state, so as to meet the purpose of continuously monitoring the soluble organic matter SOF in the DDPF.

[0059] In one embodiment of the present application, the temperature coefficient of the integrated oxidation trap is determined based on the average temperature of the integrated oxidation trap, including: querying a second calibration table for the average temperature to obtain a time factor corresponding to the average temperature, wherein the second calibration table includes a correlation between a pre-set temperature and time factor; obtaining a trend graph of the temperature coefficient changing with the time factor; and determining the temperature coefficient corresponding to the time factor based on the trend graph.

[0060] Specifically, in the process of determining the temperature coefficient of the integrated oxidation trap based on the average temperature of the integrated oxidation trap, the correlation between the preset temperature and time factor can be queried based on the average temperature of the DDPF to obtain the time factor corresponding to the average temperature of the DDPF. It should be noted that the time factor is the reciprocal of the total time to reach the preset removal of soluble organic matter SOF at this temperature. At the same time, the time factor can be searched through the trend chart of the temperature coefficient changing with the time factor to obtain the temperature coefficient corresponding to the time factor.

[0061] In one embodiment of the present application, obtaining a trend graph of the temperature coefficient changing with the time factor includes: querying a second calibration table for multiple average temperatures at multiple moments to obtain multiple time factors corresponding to the multiple average temperatures, wherein the second calibration table includes a pre-set correlation between the temperature and the time factor; accumulating multiple time factors corresponding to the multiple average temperatures to obtain a trend graph of the temperature coefficient changing with the time factor.

[0062] Specifically, by querying the second calibration table, the time factor corresponding to the average temperature of the DDPF at multiple moments can be obtained. For example, The time factor corresponding to the average temperature T1 at the moment is , The time factor corresponding to the average temperature T2 at the moment is , and so on, The time factor corresponding to the average temperature Tn at the time is After obtaining the time factor corresponding to each moment, the time factor corresponding to the previous moment can be added to the time factor at the current moment to obtain the temperature coefficient corresponding to the current time.

[0063] For example, The temperature coefficient corresponding to time is , The temperature coefficient corresponding to time is , The temperature coefficient corresponding to time is , and so on, The temperature coefficient corresponding to time is By analyzing and counting the temperature coefficient corresponding to each time, a trend graph of the temperature coefficient changing with the time factor can be obtained.

[0064] Figure 4 The figure shows a schematic diagram of the DDPF temperature coefficient provided by an embodiment of the present application. Figure 4As shown, the horizontal axis represents time and the vertical axis represents temperature coefficient. It can be seen that at the beginning, as time goes by, the temperature coefficient gradually increases, which also shows that the SOF inside the DDPF gradually accumulates to the preset value. After the SOF is cleared at low temperature, the SOF gradually decreases. It can be seen that the corresponding temperature coefficient decreases rapidly. As the engine exhaust is continuously discharged, the SOF continues to accumulate to the preset value. After the SOF is cleared at low temperature, the SOF gradually decreases. In this cycle, we get Figure 4 The temperature coefficient is shown as a function of time.

[0065] As a second aspect of the present application, the present application also provides a carbon load control device for an integrated oxidation trap, Figure 5 FIG. 1 is a schematic diagram of a carbon load control device for an integrated oxidation trap provided in one embodiment of the present application. Figure 5 As shown, the carbon load control device 5 includes a controller 51 for executing any of the above-mentioned carbon load control methods for the integrated oxidation trap.

[0066] As a third aspect of the present application, the present application further provides a vehicle, Figure 6 FIG. 1 is a schematic diagram of a vehicle provided by an embodiment of the present application, as shown in FIG. Figure 6 As shown, the vehicle 6 includes: an integrated oxidation trap 61; an engine 62; and the above-mentioned carbon load control device 5, wherein the integrated oxidation trap 61 is connected to the engine 62 for post-processing the exhaust gas discharged by the engine 62, and the carbon load control device 5 is connected to the integrated oxidation trap 61 for executing the carbon load control method of the integrated oxidation trap.

[0067] The carbon load control method for an integrated oxidation trap provided in this application calculates the current carbon load of the DDPF by measuring the pressure difference between the exhaust gas inlet and outlet ports of the DDPF, as well as the volumetric flow rate of exhaust gas flowing into the DDPF. Simultaneously, the temperature coefficient of the integrated oxidation trap is determined based on the average temperature of the DDPF. When the temperature coefficient is within a preset range and the current carbon load exceeds a preset carbon load threshold, DDPF regeneration is triggered to control the carbon load. This application uses the carbon load and temperature coefficient as the basis for triggering active DDPF regeneration, thereby improving the accuracy of carbon load determination and, consequently, achieving the technical effect of increasing the accuracy of DDPF regeneration control. This resolves the technical issue of low accuracy in DPF regeneration control in the prior art.

[0068] The methods described herein may be implemented in whole or in part via software, hardware, firmware, or any combination thereof. When implemented using software, they may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs or instructions that, when loaded and executed on a computer, fully or partially execute the processes or functions described herein. The computer may be a general-purpose computer, a special-purpose computer, a computer network, a network device, a user equipment, a core network device, an OAM, or other programmable device.

[0069] The computer program product may be written in any combination of one or more programming languages to implement the program code for performing the operations of the embodiments of the present application, including object-oriented programming languages such as Java, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0070] The computer program or instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer program or instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired or wireless method. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a digital video disk; or a semiconductor medium, such as a solid-state drive. The computer-readable storage medium may be a volatile or non-volatile storage medium, or may include both volatile and non-volatile types of storage media.

[0071] In addition, an embodiment of the present application may also be a storage medium having a computer program stored thereon, and the computer program is used by a processor to execute the steps of the carbon load control method of an integrated oxidation trap described in any of the above embodiments of this specification.

[0072] For the sake of simplicity, the aforementioned method embodiments are described as a series of action combinations. However, those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

[0073] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Similarities between the various embodiments can be referred to in conjunction with each other. For device embodiments, since they are generally similar to method embodiments, their description is relatively simple, and for relevant details, reference can be made to the description of the method embodiments.

[0074] The steps in the methods of the various embodiments of the present application can be adjusted in order, combined, or deleted according to actual needs, and the technical features recorded in the various embodiments can be replaced or combined. The devices in the various embodiments of the present application can be combined, divided, or deleted according to actual needs.

[0075] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0076] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, software executed by a processor, or a combination of the two. The software may be stored in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0077] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0078] The above description of the disclosed embodiments will enable those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is to be construed in the widest manner consistent with the principles and novel features disclosed herein.

Claims

1. A method for controlling the carbon load of an integrated oxidation trap, characterized in that: include: Calculating the current carbon load of the integrated oxidation trap according to the pressure difference between the exhaust gas inlet port and the exhaust port of the integrated oxidation trap and the exhaust gas volume flow rate flowing into the integrated oxidation trap; determining a temperature coefficient of the integrated oxidation trap according to an average temperature of the integrated oxidation trap; If the temperature coefficient is within a preset range and the current carbon load exceeds a preset carbon load threshold, regeneration of the integrated oxidation trap is triggered to control the carbon load.

2. The carbon load control method of the integrated oxidation trap according to claim 1, characterized in that: Calculating the current carbon load of the integrated oxidation trap according to the pressure difference between the exhaust gas inlet port and the exhaust port of the integrated oxidation trap and the exhaust gas volume flow rate flowing into the integrated oxidation trap includes: performing a first calibration table query on the pressure difference between the two ends and the exhaust gas volume flow rate to obtain an initial carbon load of the integrated oxidation trap, wherein the first calibration table includes a pre-set correlation between the pressure difference between the two ends, the exhaust gas volume flow rate, and the carbon load; Correcting the initial carbon loading based on the average temperature to obtain a corrected carbon loading; Calculating a difference between the corrected carbon load and the carbon load at a previous moment to obtain a carbon load deviation, wherein the carbon load at the previous moment is stored in an electronic control unit; The current carbon loading is obtained based on the carbon loading deviation.

3. The carbon load control method of the integrated oxidation trap according to claim 2, characterized in that: The obtaining the current carbon loading based on the carbon loading deviation includes: Calculating the product of the carbon loading deviation and the exhaust gas volume flow rate to obtain a carbon loading change rate; An integration operation is performed on the carbon loading at the previous moment and the carbon loading change rate to obtain the current carbon loading.

4. The carbon load control method of the integrated oxidation trap according to claim 1, characterized in that: After calculating the current carbon load of the integrated oxidation trap based on the pressure difference between the exhaust gas inlet port and the exhaust port of the integrated oxidation trap and the exhaust gas volume flow rate flowing into the integrated oxidation trap, the method includes: storing the carbon load in an electronic control unit.

5. The carbon load control method of the integrated oxidation trap according to claim 1, characterized in that: The method further comprises: If the temperature coefficient exceeds the upper limit of the preset range, a thermal management instruction is triggered to remove the soluble organic matter in the integrated oxidation trap.

6. The carbon load control method of the integrated oxidation trap according to claim 5, characterized in that: After removing the soluble organic matter in the integrated oxidation trap, the method further includes resetting the temperature coefficient to 0.

7. The carbon load control method of the integrated oxidation trap according to claim 1, characterized in that: Determining the temperature coefficient of the integrated oxidation trap according to the average temperature of the integrated oxidation trap includes: Performing a second calibration table query on the average temperature to obtain a time factor corresponding to the average temperature, wherein the second calibration table includes a pre-set correlation between temperature and time factor; Obtain a trend graph of temperature coefficient changing with time factor; Based on the trend graph, a temperature coefficient corresponding to the time factor is determined.

8. The carbon load control method of the integrated oxidation trap according to claim 7, characterized in that: The step of obtaining a trend graph showing changes in the temperature coefficient over time includes: Performing a second calibration table query on a plurality of average temperatures at a plurality of moments to obtain a plurality of time factors corresponding to the plurality of average temperatures, wherein the second calibration table includes a pre-set correlation between the temperature and the time factor; A plurality of time factors corresponding to the plurality of average temperatures are accumulated to obtain a trend graph showing changes in the temperature coefficient with respect to the time factors.

9. A carbon load control device for an integrated oxidation trap, characterized in that: The device comprises a controller for executing the carbon load control method of the integrated oxidation trap according to any one of claims 1 to 8.

10. A vehicle, characterized in that: include: integrated oxidation trap; engine; as well as The carbon loading control device according to claim 9.

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