Particle filter ash estimation method and system, readable storage medium, engine

Abstract

This application provides a method and system for estimating ash content in a particulate filter, a readable storage medium, and an engine. The method includes: acquiring the engine's operating mileage and operating time, and initiating particulate filter ash content detection based on these data; continuously identifying the particulate filter's regeneration interval based on carbon load, and triggering deep regeneration of the particulate filter based on the number of times the regeneration interval is less than a preset interval; acquiring the particulate filter's differential pressure value after deep regeneration, and calculating the flow resistance value based on the differential pressure value; and issuing a cleaning prompt based on the flow resistance value. Through this technical solution, the need for cleaning is determined based on the flow resistance value after deep regeneration of the particulate filter. After deep regeneration, the carbon load is thoroughly removed, eliminating the influence of carbon load on ash content estimation.

Description

Technical Field

[0001] This application relates to the field of particulate trap technology, and more specifically, to a method and system for estimating ash content in a particulate trap, a readable storage medium, and an engine. Background Technology

[0002] Currently, China VI diesel engine systems include a diesel particulate filter (DPF). As engine operating time increases, the accumulated carbon soot and ash within the DPF continuously increase, gradually increasing the back pressure of the aftertreatment system and leading to frequent regeneration. While carbon soot can be removed through regeneration, ash cannot; the DPF must be removed and cleaned using specialized equipment. Currently, the market addresses DPF ash accumulation by specifying a regular cleaning interval in service manuals. However, the DPF ash accumulation rate is related to engine operating conditions and the quality of fuel and engine oil, so a standardized cleaning interval is no longer sufficient to meet market demands.

[0003] Currently, a common practice is to estimate oil consumption based on fuel consumption, and then use an empirical formula to calculate the rate of ash formation in the oil, thereby calculating the amount of ash accumulated in the DPF. When the calculated ash accumulation reaches a set limit, the user is alerted to perform DPF cleaning. This method relies on the accuracy of the empirical formula for oil ash content and the stability of the user's oil. It typically has a large margin of error and is prone to misjudging the cleaning time. Another common practice is to estimate DPF ash content based on the pressure difference after regeneration. This method needs improvement because DPF regeneration may not completely remove carbon loading, thus introducing a significant margin of error. Furthermore, different distribution patterns of ash within the DPF carrier will result in different pressure differences, which will also introduce errors in ash content estimation. Summary of the Invention

[0004] This application aims to solve or improve the aforementioned technical problems.

[0005] Therefore, the primary objective of this application is to provide a method for estimating the ash content of a particulate filter.

[0006] The second objective of this application is to provide a particle trap ash content estimation system.

[0007] The third objective of this application is to provide an ash content estimation system for a particle trap.

[0008] The fourth objective of this application is to provide a readable storage medium.

[0009] The fifth objective of this application is to provide an engine.

[0010] To achieve the first objective of this application, the technical solution of the first aspect of this application provides a method for estimating the ash content of a particulate filter, comprising: acquiring the engine's operating mileage and operating time, and entering the particulate filter ash content detection based on the operating mileage and operating time; continuously identifying the regeneration interval time of the particulate filter based on carbon load, and triggering deep regeneration of the particulate filter based on the number of times the regeneration interval time is less than a preset interval time; after the deep regeneration of the particulate filter is completed, acquiring the particulate filter differential pressure value, and calculating the flow resistance value based on the particulate filter differential pressure value; and issuing a cleaning prompt based on the flow resistance value.

[0011] According to the particulate filter ash content estimation method provided in this application, the engine's mileage and operating time are first obtained, and the particulate filter ash content detection is initiated based on these data. After entering the particulate filter ash content detection phase, the regeneration interval time based on carbon load is continuously identified, and deep regeneration of the particulate filter is triggered based on the number of times the regeneration interval time is less than a preset interval time. After deep regeneration of the particulate filter is completed, the pressure difference value of the particulate filter is read, and the flow resistance value is calculated. Finally, a cleaning reminder is issued based on the flow resistance value, prompting the driver to go to a service station for particulate filter cleaning as soon as possible. The need for cleaning is determined based on the flow resistance value after deep regeneration of the particulate filter. After deep regeneration, the carbon load is thoroughly removed, eliminating the influence of carbon load on ash content estimation.

[0012] In addition, the technical solution provided in this application may also have the following additional technical features:

[0013] In the above technical solution, the engine's operating mileage and operating time are obtained, and the particulate matter is detected based on the operating mileage and operating time. Specifically, this includes: obtaining the engine's operating mileage and operating time; determining whether the operating mileage is greater than a preset mileage; if so, determining whether the operating time is greater than a preset time; if so, proceeding to the particulate matter detector for ash content detection.

[0014] In this technical solution, the engine's operating mileage and operating time are acquired, and the data is then used for ash content detection in the particulate filter. Specifically, the engine's operating mileage and operating time are first acquired, and it is determined whether the operating mileage exceeds a preset mileage. If the operating mileage exceeds the preset mileage, then it is determined whether the operating time exceeds a preset time. If the operating time exceeds the preset time, then the particulate filter ash content detection is initiated. By collecting the engine's operating mileage and operating time, the particulate filter ash content detection will only proceed if either the operating mileage or operating time exceeds a set limit.

[0015] In the above technical solution, the regeneration interval time of the particulate filter based on carbon load is continuously identified, and the deep regeneration of the particulate filter is triggered according to the number of times the regeneration interval time is less than the preset interval time. Specifically, this includes: continuously identifying the regeneration interval time of the particulate filter based on carbon load, and continuously obtaining the number of times the regeneration interval time is less than the preset interval time; determining whether the number is the preset number; if so, the deep regeneration of the particulate filter is triggered.

[0016] In this technical solution, the regeneration interval of the particulate filter based on carbon loading is continuously identified, and deep regeneration of the particulate filter is triggered based on the number of times the regeneration interval is less than a preset interval. Specifically, the regeneration interval of the particulate filter based on carbon loading is continuously identified, and the number of times the regeneration interval is less than the preset interval is continuously recorded. It is then determined whether the number is the preset number; if so, deep regeneration of the particulate filter is triggered. Specifically, the preset number can be 3 times. If the time interval between the 3 triggers of particulate filter regeneration based on carbon loading is less than a set limit, deep regeneration of one particulate filter will be triggered.

[0017] In the above technical solution, continuously identifying the regeneration interval time of the particulate filter based on carbon load and continuously acquiring the number of times the regeneration interval time is less than a preset interval time specifically includes: continuously identifying the regeneration interval time of the particulate filter based on carbon load; determining whether the regeneration interval time is less than a preset interval time; if so, acquiring the number of times the regeneration interval time is less than the preset interval time.

[0018] In this technical solution, the regeneration interval of the particulate filter based on carbon loading is continuously identified, and the number of times the regeneration interval is less than a preset interval is continuously recorded. Specifically, the regeneration interval of the particulate filter based on carbon loading is continuously identified, and it is determined whether the regeneration interval is less than the preset interval. If the regeneration interval is less than the preset interval, the number of times the regeneration interval is less than the preset interval is recorded. If the regeneration interval is less than the preset interval three times, deep regeneration of the particulate filter is triggered.

[0019] In the above technical solution, before the deep regeneration of the particulate filter is completed, it also includes: determining whether the deep regeneration of the particulate filter is completed based on the particulate filter temperature and the duration of the particulate filter.

[0020] In this technical solution, before the deep regeneration of the particulate filter is completed, the process includes determining whether the deep regeneration is complete based on the particulate filter temperature and the duration of the deep regeneration. Only after the successful completion of deep regeneration can the next step of ash content determination be performed. After deep regeneration, carbon loading is thoroughly removed, eliminating the influence of carbon loading on ash content estimation.

[0021] In the above technical solution, determining whether the deep regeneration of the particle trap is completed based on the particle trap temperature and the particle trap duration specifically includes: acquiring the particle trap temperature and the particle trap duration at the particle trap temperature; determining whether the particle trap temperature is greater than a preset temperature; if so, determining whether the particle trap duration at the particle trap temperature is greater than the preset duration; if so, the deep regeneration of the particle trap is completed.

[0022] In this technical solution, the completion of deep regeneration of the particulate filter is determined based on the particulate filter temperature and the particulate filter duration. Specifically, the particulate filter temperature and the particulate filter duration at that temperature are obtained. First, it is determined whether the particulate filter temperature is higher than a preset temperature. If the particulate filter temperature is higher than the preset temperature, it is determined whether the particulate filter duration is higher than a preset duration. If the particulate filter duration is higher than the preset duration, the deep regeneration of the particulate filter is considered complete.

[0023] In the above technical solution, the dust removal prompt is issued based on the flow resistance value, specifically including: determining whether the flow resistance value exceeds the preset value; if so, issuing a dust removal prompt message for the particle collector.

[0024] In this technical solution, a dust removal prompt is issued based on the flow resistance value. Specifically, it is determined whether the flow resistance value exceeds the set limit. If it exceeds the set limit, a prompt is issued that the particulate filter needs to be cleaned, prompting the driver to go to the service station as soon as possible to have the particulate filter cleaned.

[0025] To achieve the second objective of this application, the technical solution of the second aspect of this application provides a particulate filter ash content estimation system, comprising: an acquisition module for acquiring the engine's operating mileage and operating time, and entering particulate filter ash content detection based on the operating mileage and operating time; an identification module for continuously identifying the particulate filter's regeneration interval time based on carbon load, and triggering deep regeneration of the particulate filter based on the number of times the regeneration interval time is less than a preset interval time; a calculation module for acquiring the particulate filter pressure difference value after the particulate filter deep regeneration is completed, and calculating the flow resistance value based on the particulate filter pressure difference value; and a prompting module for issuing a cleaning prompt based on the flow resistance value.

[0026] The particulate matter ash estimation system provided in this application includes an acquisition module, an identification module, a calculation module, and a prompting module. The acquisition module acquires the engine's mileage and operating time, and initiates particulate matter ash content detection based on these parameters. The identification module continuously identifies the particulate matter's regeneration interval based on carbon load, and triggers deep regeneration of the particulate matter based on the number of times the regeneration interval is less than a preset interval. The calculation module acquires the particulate matter's differential pressure value after deep regeneration and calculates the flow resistance value based on this value. The prompting module issues a cleaning prompt based on the flow resistance value. By determining whether cleaning is necessary based on the flow resistance value after deep regeneration, and by thoroughly removing carbon load after deep regeneration, the influence of carbon load on ash content estimation can be eliminated.

[0027] To achieve the third objective of this application, the technical solution of the third aspect of this application provides a particle trap ash content estimation system, including: a memory and a processor, wherein the memory stores a program or instructions that can be run on the processor, and when the processor executes the program or instructions, it implements the particle trap ash content estimation method of any one of the technical solutions of the first aspect, and thus has the technical effects of any one of the technical solutions of the first aspect, which will not be elaborated here.

[0028] To achieve the fourth objective of this application, the technical solution of the fourth aspect of this application provides a readable storage medium storing a program or instructions thereon. When the program or instructions are executed by a processor, they implement the steps of the particle trap ash estimation method of any one of the technical solutions of the first aspect, and thus have the technical effects of any one of the technical solutions of the first aspect, which will not be repeated here.

[0029] To achieve the fifth objective of this application, the technical solution of the fifth aspect of this application provides an engine, including: a particle trap ash content estimation system as described in any of the technical solutions of the second aspect of this application; and / or a particle trap ash content estimation system as described in any of the technical solutions of the third aspect of this application; and / or a readable storage medium as described in any of the technical solutions of the fourth aspect of this application.

[0030] The engine provided by the technical solution of this application includes a particulate filter ash estimation system as described in any of the technical solutions of the second aspect of this application, or a particulate filter ash estimation system as described in any of the technical solutions of the third aspect of this application, or a readable storage medium as described in any of the technical solutions of the fourth aspect of this application. Therefore, it has all the beneficial effects of the particulate filter ash estimation system as described in any of the technical solutions of the second aspect of this application, or a particulate filter ash estimation system as described in any of the technical solutions of the third aspect of this application, or a readable storage medium as described in any of the technical solutions of the fourth aspect of this application, which will not be elaborated here.

[0031] Additional aspects and advantages of this application will become apparent in the following description or may be learned by practice of this application. Attached Figure Description

[0032] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0033] Figure 1 This is a flowchart illustrating the steps of a particle trap ash content estimation method according to an embodiment of this application;

[0034] Figure 2 This is a flowchart illustrating the steps of a particle trap ash content estimation method according to an embodiment of this application;

[0035] Figure 3 This is a flowchart illustrating the steps of a particle trap ash content estimation method according to an embodiment of this application;

[0036] Figure 4 This is a flowchart illustrating the steps of a particle trap ash content estimation method according to an embodiment of this application;

[0037] Figure 5 This is a flowchart illustrating the steps of a particle trap ash content estimation method according to an embodiment of this application;

[0038] Figure 6 This is a flowchart illustrating the steps of a particle trap ash content estimation method according to an embodiment of this application;

[0039] Figure 7 This is a flowchart illustrating the steps of a particle trap ash content estimation method according to an embodiment of this application;

[0040] Figure 8 This is a schematic block diagram of the structure of a particle trap ash content estimation system according to an embodiment of this application;

[0041] Figure 9 This is a schematic block diagram of the structure of a particle trap ash content estimation system according to another embodiment of this application;

[0042] Figure 10 This is a schematic flowchart illustrating the steps of a particle trap ash content estimation method according to an embodiment of this application.

[0043] in, Figure 8 and Figure 9 The correspondence between the reference numerals and component names in the attached drawings is as follows:

[0044] 10: Ash content estimation system for particle trap; 110: Acquisition module; 120: Identification module; 130: Calculation module; 140: Prompt module; 20: Ash content estimation system for particle trap; 300: Memory; 400: Processor. Detailed Implementation

[0045] To better understand the above-mentioned objectives, features, and advantages of this application, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0046] Many specific details are set forth in the following description in order to provide a full understanding of this application. However, this application may also be implemented in other ways different from those described herein. Therefore, the scope of protection of this application is not limited to the specific embodiments disclosed below.

[0047] The following reference Figures 1 to 10 This application describes a particulate filter ash content estimation method and system, a readable storage medium, and an engine, among some embodiments thereof.

[0048] like Figure 1 As shown, an embodiment of the first aspect of this application provides a method for estimating the ash content of a particulate filter, comprising the following steps:

[0049] Step S102: Obtain the engine's operating mileage and operating time, and proceed to the particulate matter collector for ash content detection based on the operating mileage and operating time;

[0050] Step S104: Continuously identify the regeneration interval time of the particulate filter based on carbon loading, and trigger deep regeneration of the particulate filter according to the number of times the regeneration interval time is less than the preset interval time.

[0051] Step S106: After the particulate filter is regenerated, obtain the pressure difference value of the particulate filter and calculate the flow resistance value based on the pressure difference value of the particulate filter.

[0052] Step S108: Issue a dust removal prompt based on the flow resistance value.

[0053] According to the particulate filter ash content estimation method provided in this embodiment, the engine's mileage and operating time are first obtained, and the particulate filter ash content detection is initiated based on these data. After entering the particulate filter ash content detection phase, the regeneration interval time based on carbon load is continuously identified, and deep regeneration of the particulate filter is triggered based on the number of times the regeneration interval time is less than a preset interval time. After deep regeneration of the particulate filter is completed, the pressure difference value of the particulate filter is read, and the flow resistance value is calculated. Finally, a cleaning reminder is issued based on the flow resistance value, prompting the driver to go to a service station for particulate filter cleaning as soon as possible. The need for cleaning is determined based on the flow resistance value after deep regeneration of the particulate filter. After deep regeneration, the carbon load is thoroughly removed, eliminating the influence of carbon load on ash content estimation.

[0054] like Figure 2 As shown, according to an embodiment of the particulate filter ash content estimation method proposed in this application, the engine's operating mileage and operating time are obtained, and the particulate filter ash content is detected based on the operating mileage and operating time. Specifically, the method includes the following steps:

[0055] Step S202: Obtain the engine's operating mileage and operating time;

[0056] Step S204: Determine whether the running mileage is greater than the preset mileage. If yes, proceed to step S206; otherwise, return to step S202.

[0057] Step S206: Determine whether the running time is greater than the preset time. If yes, proceed to step S208; otherwise, return to step S202.

[0058] Step S208: Enter the particle trap for ash content detection.

[0059] In this embodiment, the engine's operating mileage and operating time are acquired, and the particulate matter ash content detection is initiated based on these data. Specifically, the engine's operating mileage and operating time are first acquired, and it is determined whether the operating mileage exceeds a preset mileage. If the operating mileage exceeds the preset mileage, it is then determined whether the operating time exceeds a preset time. If the operating time exceeds the preset time, the particulate matter ash content detection is initiated. By collecting the engine's operating mileage and operating time, the particulate matter ash content detection is only initiated when either the operating mileage or the operating time exceeds a set limit.

[0060] like Figure 3 As shown, according to an embodiment of the particulate matter ash estimation method proposed in this application, the regeneration interval time of the particulate matter trap based on carbon loading is continuously identified, and deep regeneration of the particulate matter trap is triggered according to the number of times the regeneration interval time is less than a preset interval time. Specifically, the method includes the following steps:

[0061] Step S302: Continuously identify the regeneration interval time of the particulate filter based on carbon loading, and continuously obtain the number of times the regeneration interval time is less than the preset interval time;

[0062] Step S304: Determine if the number of attempts is the preset number of attempts. If yes, proceed to step S306; otherwise, return to step S302.

[0063] Step S306: Trigger deep regeneration of the particle trap.

[0064] In this embodiment, the regeneration interval of the particulate filter based on carbon loading is continuously identified, and deep regeneration of the particulate filter is triggered based on the number of times the regeneration interval is less than a preset interval. Specifically, the regeneration interval of the particulate filter based on carbon loading is continuously identified, and the number of times the regeneration interval is less than the preset interval is continuously obtained. It is determined whether the number of times is the preset number; if so, deep regeneration of the particulate filter is triggered. Specifically, the preset number can be 3 times. If the time interval between the 3 triggers of particulate filter regeneration based on carbon loading is less than a set limit, deep regeneration of the particulate filter will be triggered.

[0065] like Figure 4 As shown, according to an embodiment of the particulate matter ash estimation method proposed in this application, the method continuously identifies the regeneration interval time of the particulate matter trap based on carbon loading and continuously obtains the number of times the regeneration interval time is less than a preset interval time. Specifically, the method includes the following steps:

[0066] Step S402: Continuously identify the regeneration interval of the particulate filter based on carbon loading;

[0067] Step S404: Determine whether the regeneration interval is less than the preset interval. If yes, proceed to step S406; otherwise, return to step S402.

[0068] Step S406: Obtain the number of times the regeneration interval is less than the preset interval.

[0069] In this embodiment, the regeneration interval of the particulate filter based on carbon loading is continuously identified, and the number of times the regeneration interval is less than a preset interval is continuously recorded. Specifically, the regeneration interval of the particulate filter based on carbon loading is continuously identified, and it is determined whether the regeneration interval is less than the preset interval. If the regeneration interval is less than the preset interval, the number of times the regeneration interval is less than the preset interval is recorded. If the regeneration interval is less than the preset interval three times, deep regeneration of the particulate filter is triggered.

[0070] like Figure 5 As shown, the particulate matter ash estimation method according to an embodiment of this application further includes the following steps before the particulate matter deep regeneration is completed:

[0071] Step S502: Determine whether the deep regeneration of the particle collector is complete based on the particle collector temperature and particle collector duration.

[0072] In this embodiment, before the deep regeneration of the particulate filter is completed, the process further includes determining whether the deep regeneration of the particulate filter is complete based on the particulate filter temperature and the duration of the deep regeneration. The logic for determining successful deep regeneration is used to confirm that deep regeneration is complete before proceeding to the next step of ash content determination. After deep regeneration, carbon loading is thoroughly removed, eliminating the influence of carbon loading on ash content estimation.

[0073] like Figure 6 As shown, according to an embodiment of the particulate filter ash content estimation method proposed in this application, the method determines whether the deep regeneration of the particulate filter is complete based on the particulate filter temperature and the particulate filter duration. Specifically, the method includes the following steps:

[0074] Step S602: Obtain the particle trap temperature and the particle trap duration at the particle trap temperature;

[0075] Step S604: Determine whether the temperature of the particle collector is greater than the preset temperature. If yes, proceed to step S606; otherwise, return to step S602.

[0076] Step S606: Determine whether the duration of the particle collector at the particle collector temperature is greater than the preset duration. If yes, proceed to step S608; otherwise, return to step S602.

[0077] Step S608: Deep regeneration of the particle trap is complete.

[0078] In this embodiment, the completion of deep regeneration of the particulate filter is determined based on the particulate filter temperature and the particulate filter duration. Specifically, the particulate filter temperature and the particulate filter duration at that temperature are obtained. First, it is determined whether the particulate filter temperature is greater than a preset temperature. If the particulate filter temperature is greater than the preset temperature, it is determined whether the particulate filter duration is greater than a preset duration. If the particulate filter duration is greater than the preset duration, the deep regeneration of the particulate filter is determined to be complete.

[0079] like Figure 7 As shown, the particulate matter trap ash content estimation method according to an embodiment of this application issues a dust removal prompt based on the flow resistance value, specifically including the following steps:

[0080] Step S702: Determine whether the flow resistance value exceeds the preset value;

[0081] Step S704: If yes, issue a particulate filter cleaning prompt message.

[0082] In this embodiment, a dust removal prompt is issued based on the flow resistance value. Specifically, it is determined whether the flow resistance value exceeds a set limit. If it exceeds the set limit, a prompt is issued that the particulate filter needs to be cleaned, prompting the driver to go to the service station as soon as possible to have the particulate filter cleaned.

[0083] like Figure 8 As shown, an embodiment of the second aspect of this application provides a particulate filter ash content estimation system 10, including: an acquisition module 110, used to acquire the engine's operating mileage and operating time, and to enter the particulate filter ash content detection based on the operating mileage and operating time; an identification module 120, used to continuously identify the particulate filter's regeneration interval time based on carbon load, and to trigger deep regeneration of the particulate filter based on the number of times the regeneration interval time is less than a preset interval time; a calculation module 130, used to acquire the particulate filter pressure difference value after the particulate filter deep regeneration is completed, and to calculate the flow resistance value based on the particulate filter pressure difference value; and a prompting module 140, used to issue a cleaning prompt based on the flow resistance value.

[0084] The particulate matter ash estimation system 10 provided in this embodiment includes an acquisition module 110, an identification module 120, a calculation module 130, and a prompting module 140. The acquisition module 110 acquires the engine's mileage and operating time, and initiates particulate matter ash detection based on these data. The identification module 120 continuously identifies the particulate matter regeneration interval based on carbon load, and triggers deep regeneration of the particulate matter based on the number of times the regeneration interval is less than a preset interval. The calculation module 130 acquires the particulate matter differential pressure value after deep regeneration and calculates the flow resistance value based on this value. The prompting module 140 issues a cleaning prompt based on the flow resistance value. By determining whether cleaning is necessary based on the flow resistance value after deep regeneration, and by thoroughly removing carbon load after deep regeneration, the influence of carbon load on ash estimation can be eliminated.

[0085] like Figure 9 As shown, an embodiment of the third aspect of this application provides a particle trap ash content estimation system 20, including: a memory 300 and a processor 400, wherein the memory 300 stores a program or instructions that can be executed on the processor 400, and when the processor 400 executes the program or instructions, it implements the steps of the particle trap ash content estimation method of any one of the embodiments of the first aspect, and thus has the technical effects of any embodiment of the first aspect, which will not be repeated here.

[0086] An embodiment of the fourth aspect of this application provides a readable storage medium having a program or instructions stored thereon. When the program or instructions are executed by a processor, they implement the steps of the particle trap ash estimation method of any one of the embodiments of the first aspect, and thus have the technical effects of any embodiment of the first aspect described above, which will not be repeated here.

[0087] An embodiment of the fifth aspect of this application provides an engine including a particulate ash estimation system 10 or a particulate ash estimation system 20 as described in any of the above embodiments, or a readable storage medium as described in any of the above embodiments.

[0088] The engine provided according to the embodiments of this application includes a particulate ash estimation system 10, a particulate ash estimation system 20, or a readable storage medium as described in any of the above embodiments, and thus has all the beneficial effects of the particulate ash estimation system 10, the particulate ash estimation system 20, or the readable storage medium as described in any of the above embodiments, which will not be repeated here.

[0089] like Figure 10 As shown, according to a specific embodiment of the particulate filter ash content estimation method provided in this application, when the regeneration of DPF (particulate filter) based on carbon loading is frequently detected, a deep regeneration is triggered to completely remove the carbon loading in the DPF; then the ash content of the DPF is determined based on the state of the DPF flow resistance value after deep regeneration. If the ash content exceeds the set limit, a DPF maintenance and cleaning prompt is given.

[0090] The specific implementation steps are as follows:

[0091] First, the engine's mileage and time are collected. Only when the mileage or time exceeds the set limit will the DPF ash content be detected.

[0092] Identify the regeneration interval time of DPF based on carbon loading. If the time interval between three DPF regenerations based on carbon loading is less than a set limit, a deep regeneration of the DPF will be triggered.

[0093] To determine if deep regeneration of the DPF is complete, the DPF temperature and duration must exceed the set limits.

[0094] Read the DPF pressure difference value after deep regeneration of DPF and calculate the flow resistance;

[0095] The system determines whether the flow resistance exceeds the set limit. If it does, it issues a prompt that the DPF needs cleaning, reminding the driver to go to the service station for DPF cleaning as soon as possible.

[0096] In summary, the beneficial effects of the embodiments of this application are as follows:

[0097] 1. Triggering logic for DPF deep regeneration. After deep regeneration, carbon loading is completely removed, eliminating the impact of carbon loading on ash content estimation.

[0098] 2. Logic for determining successful completion of DPF deep regeneration. The next step, grayscale determination, can only proceed after deep regeneration is deemed complete.

[0099] 3. Determine whether cleaning is needed based on the DPF flow resistance after deep regeneration. When the DPF flow resistance exceeds the set limit, a prompt for DPF maintenance and cleaning will be given.

[0100] In this application, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance; the term "multiple" refers to two or more unless otherwise expressly defined. The terms "install," "connect," "link," and "fix" should be interpreted broadly. For example, "connect" can mean a fixed connection, a detachable connection, or an integral connection; "link" can mean a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0101] In the description of this application, it should be understood that the terms "upper", "lower", "front", "rear", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or module referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0102] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0103] The above are merely preferred embodiments of this application and are not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for estimating ash content in a particulate filter, characterized in that, include: The engine's operating mileage and operating time are obtained, and the ash content is detected in the particulate filter based on the operating mileage and operating time. The regeneration interval of the particulate filter based on carbon loading is continuously identified, and deep regeneration of the particulate filter is triggered according to the number of times the regeneration interval is less than a preset interval. After the particulate filter is regenerated, the pressure difference value of the particulate filter is obtained, and the flow resistance value is calculated based on the pressure difference value of the particulate filter. A dust removal prompt is issued based on the flow resistance value; Before the particle trap's deep regeneration is complete, the process also includes: The completion of deep regeneration of the particulate filter is determined by the particulate filter temperature and the particulate filter duration. The step of determining whether the deep regeneration of the particulate filter is complete based on the particulate filter temperature and the particulate filter duration specifically includes: Obtain the particulate filter temperature and the particulate filter duration at the particulate filter temperature; Determine whether the temperature of the particle collector is greater than the preset temperature; If so, determine whether the duration of the particle trap at the particle trap temperature is greater than a preset duration; If so, the particle trap deep regeneration is complete.

2. The method for estimating ash content in a particulate filter according to claim 1, characterized in that, The process of acquiring the engine's operating mileage and operating time, and then performing ash content detection in the particulate matter trap based on the operating mileage and operating time, specifically includes: Obtain the engine's operating mileage and operating time; Determine whether the running mileage is greater than the preset mileage; If so, determine whether the running time is greater than the preset time; If so, proceed to the particle trap for ash content detection.

3. The method for estimating ash content in a particulate filter according to claim 1, characterized in that, The continuous identification of the particulate trap based on the carbon loading regeneration interval time, and triggering deep regeneration of the particulate trap according to the number of times the regeneration interval time is less than a preset interval time, specifically includes: The regeneration interval of the particulate filter based on carbon loading is continuously identified, and the number of times the regeneration interval is less than a preset interval is continuously obtained. Determine whether the number of times is a preset number; If so, then deep regeneration of the particle trap is triggered.

4. The ash content estimation method for a particulate filter according to claim 3, characterized in that, The continuous identification of the particulate trap based on the carbon loading regeneration interval time, and the continuous acquisition of the number of times the regeneration interval time is less than a preset interval time, specifically includes: Continuous identification of particulate filter regeneration interval based on carbon loading; It is determined that the regeneration interval is less than the preset interval. If so, then the number of times the regeneration interval time is less than the preset interval time is obtained.

5. The method for estimating ash content in a particulate filter according to any one of claims 1 to 4, characterized in that, The step of issuing a dust removal prompt based on the flow resistance value specifically includes: Determine whether the flow resistance value exceeds a preset value; If so, a dust removal prompt message will be issued for the particulate filter.

6. A particulate matter trap ash content estimation system, characterized in that, include: The acquisition module (110) is used to acquire the engine's running mileage and running time, and to enter the particulate filter ash detection according to the running mileage and running time; The identification module (120) is used to continuously identify the regeneration interval time of the particulate trap based on the carbon loading, and to trigger the deep regeneration of the particulate trap according to the number of times the regeneration interval time is less than a preset interval time. The calculation module (130) is used to obtain the pressure difference value of the particle trap after the particle trap deep regeneration is completed, and to calculate the flow resistance value based on the pressure difference value of the particle trap. The prompting module (140) is used to issue a dust removal prompt based on the flow resistance value; Before the particle trap's deep regeneration is complete, the process also includes: The completion of deep regeneration of the particulate filter is determined by the particulate filter temperature and the particulate filter duration. The step of determining whether the deep regeneration of the particulate filter is complete based on the particulate filter temperature and the particulate filter duration specifically includes: Obtain the particulate filter temperature and the particulate filter duration at the particulate filter temperature; Determine whether the temperature of the particle collector is greater than the preset temperature; If so, determine whether the duration of the particle trap at the particle trap temperature is greater than a preset duration; If so, the particle trap deep regeneration is complete.

7. A particulate matter trap ash content estimation system, characterized in that, include: A memory (300) and a processor (400), wherein the memory (300) stores a program or instructions executable on the processor (400), and the processor (400) implements the steps of the particle trap ash estimation method as claimed in any one of claims 1 to 5 when executing the program or instructions.

8. A readable storage medium having a program or instructions stored thereon, characterized in that, When the program or the instructions are executed by the processor, they implement the steps of the particle trap ash estimation method as described in any one of claims 1 to 5.

9. An engine, characterized in that, include: The ash content estimation system for a particle trap as described in claim 6; and / or The particle trap ash content estimation system as described in claim 7; and / or The readable storage medium as described in claim 8.

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