Method and device for detecting soot of automobile engine and automobile

By detecting engine soot levels in real time during vehicle operation, a computational model and early warning system were used to solve the problem of delayed lubricant detection, enabling timely lubricant replacement and wear control.

CN115822767BActive Publication Date: 2025-11-18WEICHAI POWER CO LTD
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Patent Information

Application Number
CN202211455751.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-11-21
Publication Date
2025-11-18
Estimated Expiration
2042-11-21

AI Technical Summary

Technical Problem

Existing technologies cannot detect engine soot content in a timely manner, leading to increased lubricating oil viscosity, accelerated aging rate, and increased wear. Furthermore, the detection methods are outdated and require offline analysis.

Method used

By detecting the soot level in the engine in real time during vehicle operation, the soot calculation model calculates the soot level based on different operating conditions and parameters, and issues an alarm when the cumulative value reaches a preset threshold, indicating that the lubricating oil needs to be changed.

Benefits of technology

It enables real-time monitoring of soot content during vehicle operation, preventing lubricant quality degradation, reducing wear, and saving testing costs.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a soot detection method and device for an automobile engine and an automobile, and belongs to the technical field of automobiles. The soot detection method comprises the following steps: acquiring a first running parameter of an engine of an automobile in a starting state, wherein the first running parameter is used for representing a variable parameter of a current combustion state of the engine; determining a first soot value of the engine under the first running parameter by using a soot calculation model, wherein the soot calculation model is determined based on soot measurement values under different working conditions and different running parameters; and determining an accumulated soot value of the engine based on the soot calculation value. The application can detect the soot value of the engine in real time during automobile driving, avoid the problems of increased viscosity of lubricating oil, accelerated aging rate, aggravated wear and tear and the like caused by much soot entering the lubricating oil, and play a good early warning role on reasonable replacement of the lubricating oil.
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Description

Technical Field

[0001] This invention relates to the field of automotive technology, specifically to a method, apparatus, and vehicle for detecting soot in automotive engines. Background Technology

[0002] my country is a major automobile producer, and with the rapid progress and development of the automotive industry, related technologies are becoming increasingly mature.

[0003] Soot is a combustion product of diesel engines. Some of it enters the aftertreatment system or the atmosphere through exhaust, while some enters the lubricating oil through piston ring scraping, which can damage the aftertreatment system and the lubricating oil.

[0004] Regarding the amount of soot generated by the engine under different operating conditions, the only current method is to analyze the engine oil by taking samples from the engine under set operating conditions. This method has a time lag in measuring soot content and requires offline instrument detection and analysis to obtain the soot condition of the lubricating oil.

[0005] Therefore, the technical problem of how to detect the soot content of engines in a timely manner urgently needs to be solved. Summary of the Invention

[0006] To address the technical problem described in the background section regarding how to promptly detect the soot content in an engine, this invention proposes a method, apparatus, and vehicle for detecting soot in an automotive engine.

[0007] One objective of this invention is to provide a method for detecting soot in automotive engines. This method can detect the soot level in the engine in real time during vehicle operation, preventing excessive soot from entering the lubricating oil and causing problems such as increased lubricating oil viscosity, accelerated aging rate, and aggravated wear. It also provides a good early warning function for timely lubricating oil replacement.

[0008] Another object of the present invention is to provide a soot detection device for automobile engines.

[0009] Another object of the present invention is to provide an automobile.

[0010] According to one aspect of the embodiments of this application, a method for detecting soot in an automobile engine is provided. The method includes: acquiring a first operating parameter of the engine when the vehicle is in a running state, the first operating parameter being a variable parameter characterizing the current combustion state of the engine; determining a first soot value of the engine under the first operating parameter using a soot calculation model, the soot calculation model being determined based on soot measurement values ​​under different operating conditions and different operating parameters; and determining a cumulative soot value of the engine based on the soot calculation value.

[0011] Optionally, determining the cumulative soot value of the engine based on the soot calculation value includes: obtaining the running time of the engine running with the first operating parameters; calculating the first cumulative value of engine soot under the first operating parameters based on the running time; and sequentially accumulating the first cumulative values ​​under multiple first operating parameters to obtain the accumulation result as the cumulative soot value of the engine.

[0012] Optionally, after determining the cumulative soot value of the engine based on the soot calculation value, the process includes: comparing the cumulative soot value with a first preset soot value, where the first preset soot value is used to characterize the critical value at which the cumulative soot value of the engine reaches the alarm condition; and when the cumulative soot value is greater than the first preset soot value, the alarm device outputs an alarm signal.

[0013] Optionally, the soot detection method further includes: predicting the soot value of the lubricating oil in the engine based on the cumulative soot value of the engine; comparing the soot value of the lubricating oil with a second preset soot value, the second preset soot value being used to characterize the critical value at which the soot value of the lubricating oil reaches the alarm condition; and when the soot value of the lubricating oil is greater than the second preset soot value, the alarm device outputs an alarm signal.

[0014] Optionally, the step of determining the first soot value of the engine under the first operating parameters using a soot calculation model, wherein the soot calculation model is based on different operating conditions and soot measurement values ​​under different operating parameters, includes: controlling the engine to operate under different preset operating conditions on a test bench; acquiring the operating parameters and soot measurement values ​​of the engine under different preset operating conditions respectively; and determining the soot calculation model based on the operating parameters and soot measurement values ​​of the engine under different preset operating conditions.

[0015] Optionally, determining the soot calculation model based on the operating parameters and soot measurement values ​​of the engine under different preset operating conditions includes: determining the regression parameters of the soot calculation model based on the operating parameters and soot measurement values ​​of the engine under different preset operating conditions.

[0016] Optionally, the soot calculation model is verified. The verification method includes: when the vehicle is in the starting state, obtaining the third operating parameter of the engine under the verification condition; determining the measured soot value of the engine based on the third operating parameter and the soot calculation model; controlling the engine to operate under the verification condition on a test bench; obtaining the test soot value of the engine; determining whether the difference between the measured soot value and the test soot value is included in a preset interval; when the difference between the measured soot value and the test soot value is included in the preset interval, determining that the soot calculation model is accurate.

[0017] Optionally, the operating parameters include at least one of rail pressure, circulating fuel supply, energizing time, advance angle, pre-injection fuel quantity, fuel consumption, exhaust flow rate, and turbine exhaust temperature.

[0018] According to another aspect of the embodiments of this application, a soot detection device for an automobile engine is also provided, comprising: an acquisition module for acquiring first operating parameters of the engine when the automobile is in a running state; a calculation module for determining a first soot value of the engine under the first operating parameters using a soot calculation model; and a result analysis module for determining a cumulative soot value of the engine based on the soot calculation value.

[0019] According to another aspect of the embodiments of this application, a car is also provided, including the soot detection device for the car engine described in the above embodiments.

[0020] Soot is a combustion product of diesel engines. Some of it enters the aftertreatment system or the atmosphere through exhaust, while some enters the lubricating oil through piston ring scraping, causing harm to the aftertreatment system and the lubricating oil. Currently, the amount of soot generated by the engine under different operating conditions can only be analyzed by taking engine oil samples during engine testing under set operating conditions. This method has a time lag in measuring soot content and requires offline instrumentation to obtain the soot status of the lubricating oil. This application enables real-time detection of engine soot levels during vehicle operation, preventing excessive soot from entering the lubricating oil and causing problems such as increased lubricating oil viscosity, accelerated aging, and increased wear. It also provides a good early warning system for timely lubricating oil replacement. Attached Figure Description

[0021] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a schematic flowchart of an optional method for detecting soot in an automobile engine according to an embodiment of the present invention;

[0024] Figure 2 This is a schematic diagram of an optional engine test condition according to an embodiment of this application;

[0025] Figure 3 This is a schematic diagram of an optional soot detection device for an automobile engine according to an embodiment of this application;

[0026] Figure 4 This is a structural block diagram of an optional electronic device according to an embodiment of this application. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0028] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] Soot is a combustion product of diesel engines. Some of it enters the aftertreatment system or the atmosphere through exhaust, while some enters the lubricating oil through piston ring scraping, causing harm to the aftertreatment system and lubricating oil. Currently, the amount of soot generated by the engine under different operating conditions can only be analyzed by taking engine oil samples during engine-set operating condition tests. This method has a time lag in measuring soot content and requires offline instrument detection and analysis to obtain the soot status of the lubricating oil. Therefore, according to one aspect of an embodiment of this application, a method for detecting soot in an automotive engine is provided. The vehicle includes a controller connected to the engine for acquiring operating parameters of the engine during operation and calculating the soot value of the engine. See [link to relevant documentation]. Figure 1 As shown, the detection method includes:

[0030] S10. Obtain the first operating parameters of the engine when the car is in the starting state, the first operating parameters being variable parameters used to characterize the current combustion state of the engine.

[0031] In this embodiment, when the car is running, the controller can read the operating parameters of each engine operating module, such as engine speed and torque. The controller can read the engine operating parameters through sensors installed in the engine operating modules.

[0032] S20. The soot value of the engine under the first operating parameters is determined using a soot calculation model, wherein the soot calculation model is determined based on soot measurement values ​​under different operating conditions and different operating parameters.

[0033] S30. Determine the cumulative soot value of the engine based on the soot calculation value.

[0034] After obtaining the initial operating parameters, the soot calculation model can calculate the soot value generated by the engine, detect and record the soot content in the engine in real time, effectively monitor the soot content in the lubricating oil, and prevent excessive soot from entering the lubricating oil, which would cause increased viscosity and accelerated aging rate. This provides a good early warning for timely lubricating oil replacement. The Yantai calculation model can be derived on a test bench by fitting the corresponding operating parameters and soot measurement values ​​under various engine operating conditions to the Yantai calculation formula.

[0035] Soot is a combustion product of diesel engines. Some of it enters the aftertreatment system or the atmosphere through exhaust, while some enters the lubricating oil through piston ring scraping. It harms the aftertreatment system and the lubricating oil, causing problems such as increased lubricating oil viscosity, accelerated aging rate, and increased wear. However, soot entering the lubricating oil is unavoidable, and the amount of soot produced gradually increases with engine operation. As soot accumulates, it gradually reduces the quality of the lubricating oil. When a certain amount of soot has accumulated, the lubricating oil is no longer suitable for use and needs to be replaced.

[0036] As an exemplary embodiment, determining the cumulative soot value of the engine based on the soot calculation value includes: obtaining the running time of the engine under a first operating parameter; calculating a first cumulative soot value of the engine under the first operating parameter based on the running time; and sequentially accumulating multiple first cumulative values ​​under the first operating parameter to obtain an accumulation result as the cumulative soot value of the engine. In this embodiment, by accumulating the running time of the engine under corresponding operating conditions and the corresponding operating parameters, the total cumulative soot value of the engine can be obtained, thereby determining whether the current lubricating oil is suitable for continued use.

[0037] As an exemplary embodiment, the engine includes an alarm device. After determining the cumulative soot value of the engine based on the calculated soot value, the process includes: comparing the cumulative soot value with a first preset soot value, where the first preset soot value represents a critical value indicating that the cumulative soot value has reached an alarm condition; and when the cumulative soot value is greater than the first preset soot value, the alarm device outputs an alarm signal. In this embodiment, determining whether the current cumulative soot value in the engine is excessive, causing damage to the lubricating oil quality and making it unusable, can be done by comparing the current cumulative soot value with the first preset soot value. The first preset soot value can be a value determined through multiple tests on a test bench, or a value determined through big data calculations in a historical database.

[0038] In addition to judging the cumulative soot value in the engine to determine whether the lubricating oil can meet the current use, the critical value of the cumulative soot value of the lubricating oil reaching the alarm condition can also be predicted based on the critical value of the engine's carbon content. The longer the engine runs, the more soot there is, and the more soot enters the lubricating oil accordingly. Therefore, the soot value in the lubricating oil is positively correlated with the soot value generated by the engine.

[0039] As an exemplary embodiment, the soot detection method further includes: predicting the soot value of the lubricating oil in the engine based on the cumulative soot value of the engine; comparing the soot value of the lubricating oil with a second preset soot value, the second preset soot value being used to characterize the critical value at which the soot value of the lubricating oil reaches the alarm condition; and when the soot value of the lubricating oil is greater than the second preset soot value, the alarm device outputs an alarm signal. In this embodiment, predicting the soot value of the lubricating oil by the cumulative soot value of the engine and comparing the soot value of the lubricating oil with the second preset soot value can determine the state of the lubricating oil, thereby determining whether the alarm device should issue an alarm signal. After the alarm device issues an alarm signal, it can remind the driver to change the lubricating oil in time without removing the lubricating oil for testing, saving costs and avoiding excessive soot entering the lubricating oil, which could cause wear on engine components.

[0040] As an exemplary embodiment, determining the first soot value of the engine based on the first operating parameters and the first calculation instruction includes: obtaining the soot calculation model in the first calculation instruction; and determining the first soot value based on the first operating parameters and the soot value calculation formula. In this embodiment, after obtaining the first operating parameters and the soot calculation model, the first operating parameters are substituted into the soot calculation model to obtain the first soot value. During vehicle operation, the soot content can be detected and accumulated with the soot content of the previous period. When the total soot content exceeds a preset soot content, the vehicle can issue an alarm to remind the driver to change the lubricating oil.

[0041] As an exemplary embodiment, obtaining the soot calculation model in the first calculation instruction includes: controlling the engine to operate under preset conditions on a test bench; obtaining the second operating parameters and the second soot value of the engine; and determining the soot calculation model based on the second operating parameters and the second soot value. In this embodiment, to realize the soot calculation model required for real-time detection of soot value during vehicle operation, it is necessary to simulate engine operating conditions on a test bench. On the test bench, the engine is controlled to operate under preset conditions, and the second operating parameters of the engine under the preset conditions and the second soot value of the engine are obtained. The soot calculation model is obtained by fitting regression using software such as MATLAB and Python. When determining the soot calculation model, it is necessary to first determine the regression parameters using the second operating parameters and the second soot value. The soot calculation model is shown in equation (1):

[0042]

[0043] Where Y is the second soot value, β0 and β k For regression parameters, X k Here, n represents the number of types of second operating parameters. It is important to note that when fitting the soot calculation model, the more types of second operating parameters there are, the more accurate the obtained regression parameters will be, and consequently, the more accurate the soot value calculation will be. The second operating parameter can be at least one of rail pressure, cyclic fuel supply, ignition time, advance angle, pre-injection quantity, fuel consumption, exhaust flow rate, and turbine exhaust temperature. Furthermore, in this application, the second operating parameter can characterize different engine operating parameters under various operating conditions, and the second soot value can characterize different soot measurement values ​​under various operating conditions on a test bench.

[0044] After determining the soot calculation model, it is necessary to verify the accuracy of the soot calculation model and / or train the model.

[0045] As an exemplary embodiment, the soot calculation model is verified. The verification method includes: when the vehicle is in motion, acquiring a third operating parameter of the engine under verification conditions; determining the measured soot value of the engine based on the third operating parameter and the soot calculation model; controlling the engine to operate under verification conditions on a test bench; acquiring the test soot value of the engine; determining whether the difference between the measured soot value and the test soot value is included within a preset interval; and determining that the soot calculation model is accurate when the difference between the measured soot value and the test soot value is included within the preset interval. In this embodiment, after determining the soot calculation model, during vehicle operation, the third operating parameter under the verification condition is acquired, and this third operating parameter is input into the soot calculation model to obtain the measured soot value. The engine is then controlled on a test bench to operate under the same verification condition, and the test soot value of the engine is measured. The accuracy of the soot calculation model is determined by comparing whether the difference between the measured soot value and the test soot value is within a preset interval. To further improve the accuracy of the soot calculation model, multiple tests can be conducted under any other operating condition, such as... Figure 2 The six commonly used operating conditions shown are representative of the operating conditions.

[0046] The accuracy of the soot calculation model can also be improved by training the model. Multiple sets of engine operating conditions, along with corresponding operating parameters and soot values, are obtained from a historical database. Each set of data is then sequentially input into the soot calculation model. The regression parameters are continuously adjusted based on the soot values ​​measured during the experiment, so that the soot values ​​calculated by the model gradually approach the soot values ​​measured during the experiment, thereby improving the calculation accuracy of the soot calculation model.

[0047] According to another aspect of the embodiments of this application, a car is also provided, including the soot detection device for the car engine described in the above embodiments.

[0048] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0049] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM (Read-Only Memory) / RAM (Random Access Memory), magnetic disk, optical disk), and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0050] According to another aspect of the embodiments of this application, a soot detection device for an automobile engine is also provided for implementing the above-described soot detection method for an automobile engine. Figure 3 This is a schematic diagram of an optional soot detection device for an automobile engine according to an embodiment of this application, as shown below. Figure 3 As shown, the device may include:

[0051] The acquisition module 302 is used to acquire the first operating parameters of the engine when the car is in the starting state;

[0052] Calculation module 304 uses a soot calculation model to determine the first soot value of the engine under the first operating parameters;

[0053] The result analysis module 306 determines the cumulative soot value of the engine based on the soot calculation value.

[0054] It should be noted that the acquisition module 302 in this embodiment can be used to perform the above step S10, the calculation module 304 in this embodiment can be used to perform the above step S20, and the result analysis module 306 in this embodiment can be used to perform the above step S30.

[0055] According to another aspect of the embodiments of this application, an electronic device for implementing the above-described method for detecting soot in an automobile engine is also provided. The electronic device may be a server, a terminal, or a combination thereof.

[0056] Figure 4 This is a structural block diagram of an optional electronic device according to an embodiment of this application, such as... Figure 4 As shown, it includes a processor 502, a communication interface 504, a memory 506, and a communication bus 508. The processor 502, communication interface 504, and memory 506 communicate with each other via the communication bus 508.

[0057] Memory 506 is used to store computer programs;

[0058] When processor 502 executes a computer program stored in memory 506, it performs the following steps:

[0059] When the vehicle is in motion, the controller acquires the first operating parameters of the engine;

[0060] The first soot value of the engine is determined based on the first operating parameters and the first calculation instruction.

[0061] Optionally, in this embodiment, the communication bus can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. This communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0062] The communication interface is used for communication between the aforementioned electronic devices and other devices.

[0063] The memory may include RAM, or non-volatile memory, such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0064] As an example, such as Figure 4 As shown, the memory 506 may include, but is not limited to, the module units in the automobile described above, which will not be elaborated further in this example.

[0065] The processors mentioned above can be general-purpose processors, including but not limited to: CPU (Central Processing Unit), NP (Network Processor), etc.; they can also be DSP (Digital Signal Processor), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0066] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments, and will not be repeated here.

[0067] Those skilled in the art will understand that Figure 4 The structure shown is for illustrative purposes only. The device used to implement the above-mentioned method for detecting soot in automobile engines can be a terminal device, such as a smartphone (e.g., an Android phone, an iOS phone), a tablet computer, a PDA, a mobile internet device (MID), a PAD, or other terminal devices. Figure 4 This does not limit the structure of the aforementioned electronic device. For example, the terminal device may also include components that are more... Figure 4 The more or fewer components shown (such as network interfaces, display devices, etc.), or having the same Figure 4 The different configurations shown.

[0068] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing the hardware related to the terminal device. The program can be stored in a computer-readable storage medium, which may include: flash drive, ROM, RAM, disk or optical disk, etc.

[0069] According to another aspect of the embodiments of this application, a storage medium is also provided. Optionally, in this embodiment, the storage medium can be used to execute program code for a soot detection method for an automobile engine.

[0070] Optionally, in this embodiment, the storage medium may be located on at least one of the network devices in the network shown in the above embodiment.

[0071] Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps:

[0072] When the vehicle is in motion, the controller acquires the first operating parameters of the engine;

[0073] The first soot value of the engine is determined based on the first operating parameters and the first calculation instruction.

[0074] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments, and will not be repeated in this embodiment.

[0075] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing program code, such as USB flash drives, ROMs, RAMs, portable hard drives, magnetic disks, or optical disks.

[0076] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0077] If the integrated units in the above embodiments are implemented as software functional units and sold or used as independent products, they can be stored in the aforementioned computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause one or more computer devices (which may be personal computers, servers, or network devices, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application.

[0078] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0079] In the several embodiments provided in this application, it should be understood that the disclosed client can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between units or modules, and may be electrical or other forms.

[0080] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the solution provided in this embodiment, depending on actual needs.

[0081] The technical solutions of this application have been described in conjunction with the preceding embodiments. However, it will be readily understood by those skilled in the art that the scope of protection of this application is not limited to these specific embodiments. Without departing from the technical principles of this application, those skilled in the art can disassemble and combine the technical solutions in the above embodiments, and can also make equivalent changes or substitutions to the relevant technical features. Any changes, equivalent substitutions, improvements, etc., made within the technical concept and / or technical principles of this application will fall within the scope of protection of this application.

Claims

1. A method for detecting soot in an automobile engine, characterized in that, include: Obtain the first operating parameters of the engine when the car is in the starting state. The first operating parameters are variable parameters used to characterize the current combustion state of the engine. The first soot value of the engine under the first operating parameters is determined using a soot calculation model. The cumulative soot value of the engine is determined based on the first soot value; The formula for the soot calculation model is as follows: Where Y is the second soot value, β0 and β k For regression parameters, X k The second operating parameter is denoted as n, which is the number of types of the second operating parameter. The second operating parameter represents different engine operating parameters under various operating conditions, and the second soot value represents different soot measurement values ​​under various operating conditions on the test bench. The step of determining the cumulative soot value of the engine based on the first soot value includes: Obtain the runtime of the engine when it is running with the first operating parameters; Calculate the first cumulative value of engine soot under the first operating parameters based on the runtime; The first cumulative values ​​under multiple first operating parameters are added in sequence to obtain the cumulative result as the engine cumulative soot value.

2. The method for detecting soot in an automobile engine as described in claim 1, characterized in that, After determining the cumulative soot value of the engine based on the first soot value, the following steps are included: The cumulative soot value is compared with the first preset soot value, where the first preset soot value is used to characterize the critical value at which the cumulative soot value of the engine reaches the alarm condition. When the cumulative soot value exceeds the first preset soot value, an alarm signal is output.

3. The method for detecting soot in an automobile engine as described in claim 2, characterized in that, Also includes: The soot value of the lubricating oil in the engine is predicted based on the cumulative soot value of the engine. The soot value of the lubricating oil is compared with a second preset soot value, the second preset soot value being used to characterize the critical value at which the soot value of the lubricating oil reaches the alarm condition; An alarm signal is output when the soot value of the lubricating oil exceeds the second preset soot value.

4. The method for detecting soot in an automobile engine as described in claim 1, characterized in that, The soot calculation model is validated, and the validation method includes: When the vehicle is in the start-up state, the third operating parameters of the engine under the verification condition are obtained; The measured soot value of the engine is determined based on the third operating parameter and the soot calculation model. The engine was controlled on a test bench to verify its operating conditions. Obtain the test soot value of the engine; Determine whether the difference between the measured soot value and the test soot value is included within a preset interval; When the difference between the measured soot value and the experimental soot value is within a preset range, the soot calculation model is determined to be accurate.

5. The method for detecting soot in an automobile engine as described in claim 1, characterized in that, The second operating parameter includes at least one of the following: rail pressure, circulating fuel supply, energizing time, advance angle, pre-injection fuel quantity, fuel consumption, exhaust flow rate, and turbine exhaust temperature.

6. A soot detection device for an automobile engine, operated using the soot detection method for an automobile engine according to any one of claims 1-5, characterized in that, include: The acquisition module is used to acquire the first operating parameters of the engine when the car is running; The calculation module uses a soot calculation model to determine the first soot value of the engine under the first operating parameters; The results analysis module determines the cumulative soot value of the engine based on the first soot value.

7. A car, characterized in that, Includes the soot detection device for automobile engines as described in claim 6.

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