Exhaust pipe and aftertreatment blowby diagnosis method and system, storage medium, engine
By acquiring real-time status data of the diesel engine and DPF pressure deviation values, the problem of high hardware cost and inaccurate diagnosis in diesel engine exhaust system leakage diagnosis is solved, and high-precision automated leakage identification and timely early warning are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUNAN DEUTZ POWER CO LTD
- Filing Date
- 2023-03-22
- Publication Date
- 2026-07-31
AI Technical Summary
Existing diesel engine exhaust system leak diagnosis technologies suffer from high hardware costs, inaccurate diagnosis, and lack of real-time automation, making it difficult to accurately pinpoint the location of leaks.
By acquiring real-time engine status data, combined with DPF inlet and outlet pressure readings, carbon load, and ash accumulation, logical algorithms are used to calculate the DPF inlet and outlet pressure calibration values, and exhaust system leaks are diagnosed based on the pressure deviation values.
It achieves highly accurate exhaust system leak diagnosis, can automatically identify the leak location in real time without manual inspection, protects the aftertreatment system, and avoids serious consequences.
Smart Images
Figure CN116146318B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of engine technology, and more specifically, to a method and system for diagnosing exhaust pipe and aftertreatment leaks, a storage medium, and an engine. Background Technology
[0002] Due to the stringent requirements of diesel engine emission regulations, existing diesel engines primarily employ a technology route of DOC plus DPF plus SCR. The stringent requirements for emissions and OBD place high demands on the conversion efficiency and durability of the aftertreatment system. Since the aftertreatment system consists of multiple modules and components, it carries the risk of leakage in practical use. If a leak occurs in the exhaust pipe or aftertreatment system, the conversion efficiency will decrease, DPF regeneration will easily fail, SCR will easily crystallize, and leaks can also easily burn out the aftertreatment wiring harness sensors. Therefore, exhaust system leaks can lead to serious consequences such as aftertreatment failure and OBD alarms. Thus, it is essential to develop real-time exhaust system leak diagnostic technology to promptly guide drivers and service personnel in identifying leaks, protecting the aftertreatment system, and avoiding serious consequences.
[0003] Currently, common practices include installing additional sensors on the exhaust pipe and aftertreatment system to diagnose leaks by detecting the temperature and gas composition of the aftertreatment surface. While this method can diagnose leaks, it requires additional sensors, increasing hardware costs. Another approach uses DPF differential pressure sensor readings to calculate the actual exhaust back pressure and compares it to the theoretical exhaust back pressure. If the difference is significant, a leak is identified in the exhaust pipe or aftertreatment system. This method has two problems: first, it cannot accurately pinpoint the leak location within the aftertreatment system; second, the theoretical exhaust back pressure is influenced by many factors, and many patents do not consider these influences, leading to inaccurate diagnoses. Another approach relies on service methods to check for exhaust leaks, such as spraying soapy water or creating SCR efficiency curves. These methods cannot provide real-time automatic diagnosis and require manual inspection. 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 diagnosing leaks in exhaust pipes and aftertreatment systems.
[0006] The second objective of this application is to provide a leak diagnosis system for exhaust pipes and aftertreatment systems.
[0007] The third objective of this application is to provide a leak diagnosis system for exhaust pipes and aftertreatment systems.
[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 diagnosing exhaust pipe and aftertreatment leakage, comprising: acquiring real-time engine status data; entering an aftertreatment leakage check based on the real-time engine status data and engine setting data; acquiring DPF inlet pressure readings, DPF outlet pressure readings, DPF carbon load, and DPF ash accumulation; calculating DPF inlet pressure calibration values and DPF outlet pressure calibration values based on the real-time engine status data, DPF carbon load, and DPF ash accumulation; and obtaining a diagnostic result based on the DPF inlet pressure calibration values, DPF inlet pressure readings, DPF outlet pressure calibration values, and DPF outlet pressure readings.
[0011] According to the exhaust pipe and aftertreatment leakage diagnosis method provided in this application, the real-time engine status data is first acquired. Based on the comparison between the real-time engine status data and the engine setting data, the aftertreatment leakage check is initiated. After entering the aftertreatment leakage check, the DPF inlet pressure reading, DPF outlet pressure reading, DPF carbon load, and DPF ash accumulation are acquired. The DPF inlet pressure calibration value and DPF outlet pressure calibration value are retrieved based on the exhaust flow rate, exhaust temperature, DPF carbon load, and DPF ash accumulation in the engine real-time status data. This method conforms to physical laws and is easy to perform functional calibration and verification in actual calibration experiments. Finally, the diagnostic result is derived based on the DPF inlet pressure calibration value, DPF inlet pressure reading, DPF outlet pressure calibration value, and DPF outlet pressure reading. The diagnostic result is more accurate and can be automatically diagnosed in real time without relying on manual inspection. Furthermore, the theoretical pressure value calculation of the exhaust pipe considers DPF carbon load and ash content factors, making the consideration of factors more comprehensive.
[0012] Specifically, exhaust system leaks are diagnosed based on the calculated deviations in DPF inlet and outlet pressure readings. These deviations are calculated using both actual and theoretical values. The actual DPF inlet and outlet pressures are derived from the readings of the DPF inlet and outlet pressure sensors. The theoretical DPF inlet and outlet pressures are derived from a pre-defined logic algorithm. This algorithm comprehensively considers key factors such as exhaust flow rate, exhaust temperature, DPF carbon load, and DPF ash accumulation.
[0013] In addition, the technical solution provided in this application may also have the following additional technical features:
[0014] In the above technical solution, the real-time engine status data includes: engine speed, torque, exhaust flow rate, exhaust temperature, DPF differential pressure reading, and time since the last regeneration.
[0015] In this technical solution, the engine real-time status data includes speed, torque, exhaust flow, exhaust temperature, DPF differential pressure reading and time since the last regeneration. By reading the engine real-time status data, the engine real-time status data is compared with the engine set data, and the aftertreatment leak inspection is initiated based on the comparison result.
[0016] In the above technical solution, the aftertreatment leak check is performed based on the engine's real-time status data and engine setting data. Specifically, this includes: determining whether the engine speed is greater than the set speed, whether the torque is greater than the set torque, whether the exhaust flow rate is greater than the set exhaust flow rate, whether the exhaust temperature is greater than the set exhaust temperature, whether the DPF differential pressure reading is within the preset differential pressure range, and whether the time since the last regeneration is less than the set time. If so, the exhaust pipe and aftertreatment leak diagnosis is performed.
[0017] In this technical solution, the conditions for initiating aftertreatment leak checks are: engine speed greater than a set speed, torque greater than a set torque, exhaust flow rate greater than a set exhaust flow rate, exhaust temperature greater than a set exhaust temperature, DPF differential pressure reading within a preset differential pressure range, and the time since the last regeneration less than a set time. If the above conditions are met, the exhaust pipe and aftertreatment leak check function is activated. The diagnostic function is activated when the exhaust flow rate, exhaust temperature, and time since the last regeneration meet predetermined conditions, making the diagnostic conditions easy to meet.
[0018] In the above technical solution, the DPF inlet pressure calibration value and DPF outlet pressure calibration value are calculated based on the engine real-time status data, DPF carbon load, and DPF ash accumulation. Specifically, this includes: calculating the initial inlet pressure calibration value and initial outlet pressure calibration value based on engine speed, torque, exhaust flow rate, and exhaust temperature; and correcting the initial inlet pressure calibration value and initial outlet pressure calibration value based on the DPF carbon load and DPF ash accumulation to obtain the DPF inlet pressure calibration value and DPF outlet pressure calibration value.
[0019] In this technical solution, the DPF inlet pressure calibration value and DPF outlet pressure calibration value are calculated based on real-time engine status data, DPF carbon load, and DPF ash accumulation. Specifically, the initial inlet pressure calibration value and initial outlet pressure calibration value are first calculated based on engine speed, torque, exhaust flow rate, and exhaust temperature. Then, the initial inlet pressure calibration value and initial outlet pressure calibration value are corrected based on the DPF carbon load and DPF ash accumulation to obtain the final DPF inlet pressure calibration value and DPF outlet pressure calibration value. Looking up the DPF inlet pressure calibration value and DPF outlet pressure calibration value based on engine speed, torque, exhaust flow rate, exhaust temperature, DPF carbon load, and DPF ash accumulation conforms to physical laws and facilitates functional calibration and verification in actual calibration experiments, taking into account more comprehensive factors.
[0020] In the above technical solution, the diagnostic result is obtained based on the DPF inlet pressure calibration value, DPF inlet pressure reading value, DPF outlet pressure calibration value, and DPF outlet pressure reading value. Specifically, this includes: determining the DPF inlet pressure reading value deviation based on the DPF inlet pressure calibration value and the DPF inlet pressure reading value; determining whether the DPF inlet pressure reading value deviation is greater than the first set value; if so, the diagnostic result is leakage in the upstream exhaust pipe of the DPF.
[0021] In this technical solution, the diagnostic result is derived based on the DPF inlet pressure calibration value, DPF inlet pressure reading value, DPF outlet pressure calibration value, and DPF outlet pressure reading value. Specifically, the DPF inlet pressure reading deviation is first determined based on the DPF inlet pressure calibration value and the DPF inlet pressure reading value. The exhaust system leakage is diagnosed through this DPF inlet pressure reading deviation. If the DPF inlet pressure reading deviation is greater than a first set value, a leak in the exhaust pipe upstream of the DPF is diagnosed.
[0022] The above technical solution, which derives diagnostic results based on the DPF inlet pressure calibration value, DPF inlet pressure reading value, DPF outlet pressure calibration value, and DPF outlet pressure reading value, also includes: determining the DPF outlet pressure reading deviation based on the DPF outlet pressure calibration value and DPF outlet pressure reading value; determining whether the DPF outlet pressure reading deviation is greater than a second set value; if so, the diagnostic result is leakage from the DPF to the SCR section.
[0023] In this technical solution, the diagnostic result is derived based on the DPF inlet pressure calibration value, DPF inlet pressure reading value, DPF outlet pressure calibration value, and DPF outlet pressure reading value. It also includes determining the DPF outlet pressure reading deviation based on the DPF outlet pressure calibration value and the DPF outlet pressure reading value. If the DPF outlet pressure reading deviation is greater than a second set value, a leak is diagnosed in the DPF to SCR section.
[0024] The above technical solution also includes a method for diagnosing exhaust pipe and aftertreatment leaks: providing alerts based on the diagnostic results.
[0025] In this technical solution, the method for diagnosing exhaust pipe and aftertreatment leaks also includes providing alerts based on the diagnostic results. Specifically, based on the diagnostic results, drivers and service personnel are alerted to promptly check for leaks in the exhaust pipe and aftertreatment system, thereby guiding them to identify leak points, protect the aftertreatment system, and avoid serious consequences.
[0026] To achieve the second objective of this application, the technical solution of the second aspect of this application provides an exhaust pipe and aftertreatment leakage diagnostic system, comprising: a first acquisition module for acquiring real-time engine status data; a determination module for entering an aftertreatment leakage check based on the real-time engine status data and engine setting data; a second acquisition module for acquiring DPF inlet pressure readings, DPF outlet pressure readings, DPF carbon load, and DPF ash accumulation; a calibration value calculation module for calculating DPF inlet pressure calibration values and DPF outlet pressure calibration values based on the real-time engine status data, DPF carbon load, and DPF ash accumulation; and a diagnostic module for deriving diagnostic results based on the DPF inlet pressure calibration values, DPF inlet pressure readings, DPF outlet pressure calibration values, and DPF outlet pressure readings.
[0027] The exhaust pipe and aftertreatment leakage diagnostic system provided in this application includes a first acquisition module, a determination module, a second acquisition module, a calibration value calculation module, and a diagnostic module. The first acquisition module acquires real-time engine status data. The determination module initiates aftertreatment leakage checks based on the real-time engine status data and engine setting data. The second acquisition module acquires DPF inlet pressure readings, DPF outlet pressure readings, DPF carbon load, and DPF ash accumulation. The calibration value calculation module calculates the DPF inlet pressure calibration value and DPF outlet pressure calibration value based on the real-time engine status data, DPF carbon load, and DPF ash accumulation. The diagnostic module provides diagnostic results based on the DPF inlet pressure calibration value, DPF inlet pressure reading, DPF outlet pressure calibration value, and DPF outlet pressure reading. By querying the DPF inlet pressure calibration value and DPF outlet pressure calibration value based on the engine's real-time status data, DPF carbon load, and DPF ash accumulation, it conforms to physical laws and is easy to complete functional calibration and verification in actual calibration experiments. It takes more comprehensive factors into consideration, and the diagnostic results are more accurate. It can automatically diagnose in real time without relying on manual inspection.
[0028] To achieve the third objective of this application, the technical solution of the third aspect of this application provides an exhaust pipe and aftertreatment leakage diagnosis 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 exhaust pipe and aftertreatment leakage diagnosis 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.
[0029] 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 exhaust pipe and after-treatment leakage diagnosis 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.
[0030] To achieve the fifth objective of this application, the technical solution of the fifth aspect of this application provides an engine, including: an exhaust pipe and aftertreatment leak diagnostic system as described in any of the technical solutions of the second aspect of this application; and / or an exhaust pipe and aftertreatment leak diagnostic 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.
[0031] The engine provided by the technical solution of this application includes an exhaust pipe and aftertreatment leakage diagnostic system as described in any of the technical solutions of the second aspect of this application and / or an exhaust pipe and aftertreatment leakage diagnostic 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. Therefore, it has all the beneficial effects of an exhaust pipe and aftertreatment leakage diagnostic system as described in any of the technical solutions of the second aspect of this application and / or an exhaust pipe and aftertreatment leakage diagnostic 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, which will not be elaborated here.
[0032] 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
[0033] 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:
[0034] Figure 1 This is a schematic flowchart illustrating the steps of a method for diagnosing air leakage in an exhaust pipe and aftertreatment system according to an embodiment of this application.
[0035] Figure 2 This is a schematic flowchart illustrating the steps of a method for diagnosing air leakage in an exhaust pipe and aftertreatment system according to an embodiment of this application.
[0036] Figure 3 This is a schematic flowchart illustrating the steps of a method for diagnosing air leakage in an exhaust pipe and aftertreatment system according to an embodiment of this application.
[0037] Figure 4 This is a schematic flowchart illustrating the steps of a method for diagnosing air leakage in an exhaust pipe and aftertreatment system according to an embodiment of this application.
[0038] Figure 5 This is a schematic flowchart illustrating the steps of a method for diagnosing air leakage in an exhaust pipe and aftertreatment system according to an embodiment of this application.
[0039] Figure 6 This is a schematic flowchart illustrating the steps of a method for diagnosing air leakage in an exhaust pipe and aftertreatment system according to an embodiment of this application.
[0040] Figure 7 This is a schematic block diagram of the structure of an exhaust pipe and aftertreatment leakage diagnosis system according to an embodiment of this application;
[0041] Figure 8 This is a schematic block diagram of the exhaust pipe and aftertreatment leak diagnosis system according to another embodiment of this application;
[0042] Figure 9 This is a schematic flowchart illustrating the steps of a method for diagnosing air leakage in an exhaust pipe and aftertreatment system according to an embodiment of this application.
[0043] Figure 10 This is a schematic diagram illustrating the working principle of an exhaust pipe and aftertreatment leakage diagnosis method according to an embodiment of this application.
[0044] in, Figure 7 and Figure 8 The correspondence between the reference numerals and component names in the attached drawings is as follows:
[0045] 10: Exhaust pipe and aftertreatment leak diagnosis system; 110: First acquisition module; 120: Determination module; 130: Second acquisition module; 140: Calibration value calculation module; 150: Diagnosis module; 20: Exhaust pipe and aftertreatment leak diagnosis system; 300: Memory; 400: Processor. Detailed Implementation
[0046] 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.
[0047] 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.
[0048] The following reference Figures 1 to 10 This application describes exhaust pipe and aftertreatment leakage diagnosis methods and systems, storage media, and engines according to some embodiments.
[0049] like Figure 1 As shown, an embodiment of the first aspect of this application provides a method for diagnosing leaks in an exhaust pipe and aftertreatment system, comprising the following steps:
[0050] Step S102: Obtain real-time engine status data;
[0051] Step S104: Proceed to aftertreatment leak check based on real-time engine status data and engine setting data;
[0052] Step S106: Obtain the DPF inlet pressure reading, DPF outlet pressure reading, DPF carbon loading, and DPF ash accumulation.
[0053] Step S108: Calculate the DPF inlet pressure calibration value and DPF outlet pressure calibration value based on the engine real-time status data, DPF carbon load, and DPF ash accumulation.
[0054] Step S110: Calculate the diagnostic results based on the DPF inlet pressure calibration value, DPF inlet pressure reading value, DPF outlet pressure calibration value, and DPF outlet pressure reading value.
[0055] According to the exhaust pipe and aftertreatment leakage diagnosis method provided in this embodiment, the real-time engine status data is first acquired. Based on the comparison between the real-time engine status data and the engine setting data, the aftertreatment leakage check is initiated. After entering the aftertreatment leakage check, the DPF inlet pressure reading, DPF outlet pressure reading, DPF carbon load, and DPF ash accumulation are acquired. The DPF inlet pressure calibration value and DPF outlet pressure calibration value are queried based on the exhaust flow rate, exhaust temperature, DPF carbon load, and DPF ash accumulation in the engine real-time status data. This not only conforms to physical laws but also facilitates functional calibration and verification in actual calibration experiments. Finally, the diagnostic result is derived based on the DPF inlet pressure calibration value, DPF inlet pressure reading, DPF outlet pressure calibration value, and DPF outlet pressure reading. The diagnostic result is more accurate and can be automatically diagnosed in real time without relying on manual inspection. Furthermore, the theoretical pressure value calculation of the exhaust pipe considers DPF carbon load and ash content factors, making the consideration of factors more comprehensive.
[0056] Specifically, exhaust system leaks are diagnosed based on the calculated deviations in DPF inlet and outlet pressure readings. These deviations are calculated using both actual and theoretical values. The actual DPF inlet and outlet pressures are derived from the readings of the DPF inlet and outlet pressure sensors. The theoretical DPF inlet and outlet pressures are derived from a pre-defined logic algorithm. This algorithm comprehensively considers key factors such as exhaust flow rate, exhaust temperature, DPF carbon load, and DPF ash accumulation.
[0057] DPF stands for Diesel Particulate Filter, also known as a diesel particulate trap.
[0058] In the above embodiments, the engine real-time status data includes engine speed, torque, exhaust flow rate, exhaust temperature, DPF differential pressure reading and time since last regeneration. By reading the engine real-time status data, the engine real-time status data is compared with the engine set data, and the aftertreatment leak check is initiated based on the comparison result.
[0059] like Figure 2As shown, according to an embodiment of the exhaust pipe and aftertreatment leakage diagnosis method proposed in this application, the aftertreatment leakage check is performed based on real-time engine status data and engine setting data, specifically including the following steps:
[0060] Step S202: Determine whether the rotational speed is greater than the set rotational speed, whether the torque is greater than the set torque, whether the exhaust flow rate is greater than the set exhaust flow rate, whether the exhaust temperature is greater than the set exhaust temperature, whether the DPF differential pressure reading is within the preset differential pressure range, and whether the time since the last regeneration is less than the set time.
[0061] Step S204: If yes, proceed to exhaust pipe and aftertreatment leak diagnosis.
[0062] In this embodiment, the conditions for initiating the aftertreatment leak check are: rotational speed greater than a set rotational speed, torque greater than a set torque, exhaust flow rate greater than a set exhaust flow rate, exhaust temperature greater than a set exhaust temperature, DPF differential pressure reading within a preset differential pressure range, and the time since the last regeneration less than a set time. If the above conditions are met, the exhaust pipe and aftertreatment leak check function is activated. The conditions for activating the diagnostic function are that the exhaust flow rate, exhaust temperature, and time since the last regeneration meet predetermined conditions, making the diagnostic conditions easy to meet.
[0063] like Figure 3 As shown, according to an embodiment of the exhaust pipe and aftertreatment leakage diagnosis method proposed in this application, the DPF inlet pressure calibration value and DPF outlet pressure calibration value are calculated based on real-time engine status data, DPF carbon load, and DPF ash accumulation. The method specifically includes the following steps:
[0064] Step S302: Calculate the initial inlet pressure calibration value and the initial outlet pressure calibration value based on the rotational speed, torque, exhaust flow rate, and exhaust temperature;
[0065] Step S304: Correct the initial inlet pressure calibration value and the initial outlet pressure calibration value according to the DPF carbon loading and DPF ash accumulation value to obtain the DPF inlet pressure calibration value and the DPF outlet pressure calibration value.
[0066] In this embodiment, the DPF inlet pressure calibration value and DPF outlet pressure calibration value are calculated based on real-time engine status data, DPF carbon load, and DPF ash accumulation. Specifically, the initial inlet pressure calibration value and initial outlet pressure calibration value are first calculated based on engine speed, torque, exhaust flow rate, and exhaust temperature. Then, the initial inlet pressure calibration value and initial outlet pressure calibration value are corrected based on the DPF carbon load and DPF ash accumulation to obtain the DPF inlet pressure calibration value and DPF outlet pressure calibration value. Querying the DPF inlet pressure calibration value and DPF outlet pressure calibration value based on engine speed, torque, exhaust flow rate, exhaust temperature, DPF carbon load, and DPF ash accumulation conforms to physical laws and facilitates functional calibration and verification in actual calibration experiments, taking into account more comprehensive factors.
[0067] like Figure 4 As shown, according to an embodiment of the exhaust pipe and aftertreatment leakage diagnosis method proposed in this application, the diagnosis result is obtained based on the DPF inlet pressure calibration value, DPF inlet pressure reading value, DPF outlet pressure calibration value, and DPF outlet pressure reading value. Specifically, the method includes the following steps:
[0068] Step S402: Calculate the DPF inlet pressure reading deviation based on the DPF inlet pressure calibration value and the DPF inlet pressure reading;
[0069] Step S404: Determine whether the deviation of the DPF inlet pressure reading is greater than the first set value. If yes, proceed to step S406; otherwise, return to step S402.
[0070] Step S406: The diagnosis result is a leak in the exhaust pipe upstream of the DPF.
[0071] In this embodiment, the diagnostic result is derived based on the DPF inlet pressure calibration value, DPF inlet pressure reading value, DPF outlet pressure calibration value, and DPF outlet pressure reading value. Specifically, the DPF inlet pressure reading deviation is first determined based on the DPF inlet pressure calibration value and the DPF inlet pressure reading value. The exhaust system leakage is diagnosed using the DPF inlet pressure reading deviation. If the DPF inlet pressure reading deviation is greater than a first set value, a leak in the exhaust pipe upstream of the DPF is diagnosed.
[0072] like Figure 5 As shown, the exhaust pipe and aftertreatment leakage diagnosis method according to an embodiment of this application derives the diagnosis result based on the DPF inlet pressure calibration value, DPF inlet pressure reading value, DPF outlet pressure calibration value, and DPF outlet pressure reading value, and further includes the following steps:
[0073] Step S502: Calculate the DPF outlet pressure reading deviation based on the DPF outlet pressure calibration value and the DPF outlet pressure reading;
[0074] Step S504: Determine whether the deviation of the DPF outlet pressure reading is greater than the second set value. If yes, proceed to step S506; otherwise, return to step S502.
[0075] Step S506: The diagnosis result is a leak in the DPF to SCR section.
[0076] In this embodiment, the diagnostic result is derived based on the DPF inlet pressure calibration value, DPF inlet pressure reading value, DPF outlet pressure calibration value, and DPF outlet pressure reading value. It also includes determining the DPF outlet pressure reading deviation based on the DPF outlet pressure calibration value and the DPF outlet pressure reading value. If the DPF outlet pressure reading deviation is greater than a second set value, a leak is diagnosed in the DPF to SCR section.
[0077] SCR stands for Selective Catalytic Reduction.
[0078] like Figure 6 As shown, the exhaust pipe and aftertreatment leakage diagnosis method according to an embodiment of this application further includes the following steps:
[0079] Step S602: Provide prompts based on the diagnostic results.
[0080] In this embodiment, the exhaust pipe and aftertreatment leak diagnosis method also includes providing prompts based on the diagnosis results. Specifically, based on the diagnosis results, the method prompts the driver and service personnel to promptly check for leaks in the exhaust pipe and aftertreatment, thereby guiding the driver and service personnel to identify the leak point, protect the aftertreatment, and avoid serious consequences.
[0081] like Figure 7 As shown, an embodiment of the second aspect of this application provides an exhaust pipe and aftertreatment leak diagnostic system 10, including: a first acquisition module 110 for acquiring real-time engine status data; a determination module 120 for entering an aftertreatment leak check based on the real-time engine status data and engine setting data; a second acquisition module 130 for acquiring DPF inlet pressure readings, DPF outlet pressure readings, DPF carbon load, and DPF ash accumulation; a calibration value calculation module 140 for calculating DPF inlet pressure calibration values and DPF outlet pressure calibration values based on the real-time engine status data, DPF carbon load, and DPF ash accumulation; and a diagnostic module 150 for generating diagnostic results based on the DPF inlet pressure calibration values, DPF inlet pressure readings, DPF outlet pressure calibration values, and DPF outlet pressure readings.
[0082] The exhaust pipe and aftertreatment leak diagnostic system 10 provided in this embodiment includes a first acquisition module 110, a determination module 120, a second acquisition module 130, a calibration value calculation module 140, and a diagnostic module 150. The first acquisition module 110 acquires real-time engine status data. The determination module 120 performs aftertreatment leak checks based on the real-time engine status data and engine setting data. The second acquisition module 130 acquires the DPF inlet pressure reading, DPF outlet pressure reading, DPF carbon load, and DPF ash accumulation. The calibration value calculation module 140 calculates the DPF inlet pressure calibration value and DPF outlet pressure calibration value based on the real-time engine status data, DPF carbon load, and DPF ash accumulation. The diagnostic module 150 outputs a diagnostic result based on the DPF inlet pressure calibration value, DPF inlet pressure reading, DPF outlet pressure calibration value, and DPF outlet pressure reading. By querying the DPF inlet pressure calibration value and DPF outlet pressure calibration value based on the engine's real-time status data, DPF carbon load, and DPF ash accumulation, it conforms to physical laws and is easy to complete functional calibration and verification in actual calibration experiments. It takes more comprehensive factors into consideration, and the diagnostic results are more accurate. It can automatically diagnose in real time without relying on manual inspection.
[0083] like Figure 8 As shown, an embodiment of the third aspect of this application provides an exhaust pipe and aftertreatment leak diagnosis system 20, including: a memory 300 and a processor 400, wherein the memory 300 stores a program or instructions that can be run on the processor 400, and when the processor 400 executes the program or instructions, it implements the steps of the exhaust pipe and aftertreatment leak diagnosis 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.
[0084] An embodiment 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 exhaust pipe and aftertreatment leakage diagnosis 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.
[0085] An embodiment of the fifth aspect of this application provides an engine including an exhaust pipe and aftertreatment leak diagnostic system 10 as described in any of the above embodiments and / or an exhaust pipe and aftertreatment leak diagnostic system 20 as described in any of the above embodiments and / or a readable storage medium as described in any of the above embodiments.
[0086] The engine provided according to the embodiments of this application includes an exhaust pipe and aftertreatment leak diagnostic system 10 as described in any of the above embodiments and / or an exhaust pipe and aftertreatment leak diagnostic system 20 as described in any of the above embodiments and / or a readable storage medium as described in any of the above embodiments. Therefore, it has all the beneficial effects of the exhaust pipe and aftertreatment leak diagnostic system 10 as described in any of the above embodiments and / or the exhaust pipe and aftertreatment leak diagnostic system 20 as described in any of the above embodiments and / or the readable storage medium as described in any of the above embodiments, which will not be repeated here.
[0087] like Figure 9 and Figure 10 As shown, according to a specific embodiment of the exhaust pipe and aftertreatment leakage diagnosis method provided in this application, leakage in the exhaust system is diagnosed based on the calculated deviations of the DPF inlet pressure reading and the DPF outlet pressure reading. The deviations are calculated using actual and theoretical values. The actual DPF inlet and outlet pressure values are derived from the readings of the DPF inlet and outlet pressure sensors; the theoretical DPF inlet and outlet pressure values are derived from a predefined logic algorithm. This logic algorithm comprehensively considers key factors such as exhaust flow rate, exhaust temperature, DPF carbon load, and DPF ash accumulation.
[0088] Specifically, we first read the engine speed, torque, exhaust flow, exhaust temperature sensor reading, DPF inlet pressure sensor reading, DPF outlet pressure sensor reading, DPF differential pressure reading, and the time since the last regeneration.
[0089] Once the following conditions are met, proceed with the post-treatment leak inspection:
[0090] Speed > Set speed; Torque > Set torque; Exhaust flow rate > Set exhaust flow rate; Exhaust temperature > Set exhaust flow rate; DPF differential pressure sensor is normal; Time since last regeneration < Set time;
[0091] When the DPF inlet pressure calibration value - DPF inlet pressure reading value > set value 1, a leak is diagnosed in the upstream exhaust pipe of the DPF.
[0092] When the DPF outlet pressure calibration value minus the DPF outlet pressure reading is greater than the set value by 2, a leak is diagnosed in the DPF to SCR section.
[0093] The DPF inlet pressure calibration value and DPF outlet pressure calibration value are values that are pre-calibrated based on parameters such as engine speed, torque, exhaust flow rate, and exhaust temperature, and are also a value obtained by correcting for DPF carbon load and ash content.
[0094] Based on the diagnostic results, drivers and service personnel are advised to promptly check for leaks in the exhaust pipe and aftertreatment system.
[0095] In summary, the beneficial effects of the embodiments of this application are as follows:
[0096] 1. Diagnose leaks in the exhaust pipe and aftertreatment system by comparing the actual and theoretical values of the DPF inlet and outlet pressures.
[0097] 2. The theoretical values of DPF inlet pressure and DPF outlet pressure are given based on exhaust temperature, exhaust flow rate, DPF carbon load, and DPF ash accumulation.
[0098] 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.
[0099] 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.
[0100] 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.
[0101] 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. An exhaust pipe and aftertreatment leak diagnosis method, comprising: include: Acquire real-time engine status data; Based on the engine's real-time status data and engine setting data, proceed to the aftertreatment leak check; Obtain the DPF inlet pressure reading, DPF outlet pressure reading, DPF carbon load, and DPF ash accumulation; The DPF inlet pressure calibration value and DPF outlet pressure calibration value are calculated based on the engine real-time status data, the DPF carbon load, and the DPF ash accumulation. The diagnostic results are derived from the DPF inlet pressure calibration value, the DPF inlet pressure reading value, the DPF outlet pressure calibration value, and the DPF outlet pressure reading value. The engine real-time status data includes: engine speed, torque, exhaust flow rate, exhaust temperature, DPF differential pressure reading, and time since last regeneration. The step of entering the aftertreatment leak check based on the engine's real-time status data and engine setting data specifically includes: Determine whether the rotational speed is greater than the set rotational speed, whether the torque is greater than the set torque, whether the exhaust flow rate is greater than the set exhaust flow rate, whether the exhaust temperature is greater than the set exhaust temperature, whether the DPF differential pressure reading is within the preset differential pressure range, whether the time since the last regeneration is less than the set time, and whether the DPF differential pressure sensor is in normal condition. If so, proceed to exhaust pipe and aftertreatment leak diagnosis; The calculation of the DPF inlet pressure calibration value and DPF outlet pressure calibration value based on the engine real-time status data, the DPF carbon load, and the DPF ash accumulation specifically includes: The initial inlet pressure calibration value and the initial outlet pressure calibration value are calculated based on the rotational speed, the torque, the exhaust flow rate, and the exhaust temperature. The initial inlet pressure calibration value and the initial outlet pressure calibration value are corrected based on the DPF carbon loading and the DPF ash accumulation to obtain the DPF inlet pressure calibration value and the DPF outlet pressure calibration value.
2. The exhaust pipe and off-gas diagnosis method for aftertreatment of claim 1, wherein, The diagnostic result derived from the DPF inlet pressure calibration value, the DPF inlet pressure reading value, the DPF outlet pressure calibration value, and the DPF outlet pressure reading value specifically includes: The deviation of the DPF inlet pressure reading is calculated based on the DPF inlet pressure calibration value and the DPF inlet pressure reading value. Determine whether the deviation of the DPF inlet pressure reading is greater than the first set value; If so, the diagnosis is a leak in the exhaust pipe upstream of the DPF.
3. The exhaust pipe and off-gas diagnosis method for aftertreatment of claim 2, wherein, The method of deriving diagnostic results based on the DPF inlet pressure calibration value, the DPF inlet pressure reading value, the DPF outlet pressure calibration value, and the DPF outlet pressure reading value also includes: The deviation of the DPF outlet pressure reading is calculated based on the DPF outlet pressure calibration value and the DPF outlet pressure reading value. Determine whether the deviation of the DPF outlet pressure reading is greater than the second set value; If so, the diagnosis is a leak in the DPF to SCR section.
4. The exhaust pipe and off-gas diagnosis method for aftertreatment of claim 3, wherein, The method for diagnosing leaks in the exhaust pipe and aftertreatment system also includes: Provide guidance based on the diagnostic results.
5. An exhaust pipe and aftertreatment leak diagnosis system, comprising: include: The first acquisition module (110) is used to acquire real-time engine status data; The determination module (120) is used to enter the aftertreatment leak check based on the engine real-time status data and engine setting data; The second acquisition module (130) is used to acquire the DPF inlet pressure reading, DPF outlet pressure reading, DPF carbon load, and DPF ash accumulation. The calibration value calculation module (140) is used to calculate the DPF inlet pressure calibration value and the DPF outlet pressure calibration value based on the engine real-time status data, the DPF carbon load and the DPF ash accumulation. The diagnostic module (150) is used to generate diagnostic results based on the DPF inlet pressure calibration value, the DPF inlet pressure reading value, the DPF outlet pressure calibration value, and the DPF outlet pressure reading value. The engine real-time status data includes: engine speed, torque, exhaust flow rate, exhaust temperature, DPF differential pressure reading, and time since last regeneration. The determining module (120) is also used to determine whether the rotation speed is greater than the set rotation speed, whether the torque is greater than the set torque, whether the exhaust flow rate is greater than the set exhaust flow rate, whether the exhaust temperature is greater than the set exhaust temperature, whether the DPF differential pressure reading is within the preset differential pressure range, whether the time since the last regeneration is less than the set time, and whether the DPF differential pressure sensor is in normal condition. If so, proceed to exhaust pipe and aftertreatment leak diagnosis; The calibration value calculation module (140) is also used to calculate the initial inlet pressure calibration value and the initial outlet pressure calibration value based on the rotational speed, the torque, the exhaust flow rate, and the exhaust temperature; The calibration value calculation module (140) is also used to correct the initial inlet pressure calibration value and the initial outlet pressure calibration value according to the DPF carbon loading and the DPF ash accumulation, so as to obtain the DPF inlet pressure calibration value and the DPF outlet pressure calibration value.
6. An exhaust pipe and aftertreatment leak diagnosis system, comprising: 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) executes the program or instructions to implement the steps of the exhaust pipe and aftertreatment leak diagnosis method as described in any one of claims 1 to 4.
7. A readable storage medium, on which a program or instructions are stored, characterized in that, When the program or the instructions are executed by the processor, they implement the steps of the exhaust pipe and aftertreatment leak diagnosis method as described in any one of claims 1 to 4.
8. An engine characterized by, include: The exhaust pipe and aftertreatment leak diagnosis system as described in claim 5; or The exhaust pipe and aftertreatment leak diagnosis system as described in claim 6; or The readable storage medium as described in claim 7.