CN110410189B - Fault diagnosis method and device for diesel particulate filter, vehicle and storage medium - Google Patents
Fault diagnosis method and device for diesel particulate filter, vehicle and storage medium Download PDFInfo
- Publication number
- CN110410189B CN110410189B CN201910589078.4A CN201910589078A CN110410189B CN 110410189 B CN110410189 B CN 110410189B CN 201910589078 A CN201910589078 A CN 201910589078A CN 110410189 B CN110410189 B CN 110410189B
- Authority
- CN
- China
- Prior art keywords
- soot content
- particulate filter
- diesel particulate
- actual
- engine oil
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn - After Issue
Links
- 238000003745 diagnosis Methods 0.000 title claims abstract description 71
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000003860 storage Methods 0.000 title claims abstract description 15
- 239000004071 soot Substances 0.000 claims abstract description 181
- 239000010705 motor oil Substances 0.000 claims abstract description 72
- 238000001514 detection method Methods 0.000 claims abstract description 49
- 230000008929 regeneration Effects 0.000 claims description 45
- 238000011069 regeneration method Methods 0.000 claims description 45
- 239000003921 oil Substances 0.000 claims description 25
- 239000002245 particle Substances 0.000 claims description 13
- 230000007257 malfunction Effects 0.000 claims description 11
- 238000006243 chemical reaction Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 4
- CSJDCSCTVDEHRN-UHFFFAOYSA-N methane;molecular oxygen Chemical compound C.O=O CSJDCSCTVDEHRN-UHFFFAOYSA-N 0.000 abstract description 10
- 238000013136 deep learning model Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 239000007789 gas Substances 0.000 description 3
- 239000000779 smoke Substances 0.000 description 3
- 239000000428 dust Substances 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 239000008187 granular material Substances 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 239000000919 ceramic Substances 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
- F01N11/00—Monitoring or diagnostic devices for exhaust-gas treatment apparatus, e.g. for catalytic activity
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
- F01N11/00—Monitoring or diagnostic devices for exhaust-gas treatment apparatus, e.g. for catalytic activity
- F01N11/002—Monitoring or diagnostic devices for exhaust-gas treatment apparatus, e.g. for catalytic activity the diagnostic devices measuring or estimating temperature or pressure in, or downstream of the exhaust apparatus
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02B—INTERNAL-COMBUSTION PISTON ENGINES; COMBUSTION ENGINES IN GENERAL
- F02B77/00—Component parts, details or accessories, not otherwise provided for
- F02B77/08—Safety, indicating, or supervising devices
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Processes For Solid Components From Exhaust (AREA)
- Filtering Of Dispersed Particles In Gases (AREA)
Abstract
The embodiment of the invention discloses a fault diagnosis method and device for a diesel particulate filter, a vehicle and a storage medium. The method comprises the following steps: the method comprises the steps of obtaining detection parameter information of a diesel particulate filter, determining the engine oil soot content of engine oil in an engine, determining the actual soot content in the diesel particulate filter according to the engine oil soot content, and performing fault diagnosis on the diesel particulate filter according to the detection parameter information and the actual soot content to obtain a diagnosis result. Compared with the prior art, the embodiment of the invention indirectly determines the actual soot content in the diesel particulate filter according to the soot content of engine oil in the engine, and then completes fault diagnosis according to the actual soot content, thereby solving the problem that the diagnosis precision is lower because the carbon oxygen sensor is used for detecting the pressure difference before and after the DPF and then fault diagnosis is carried out according to the pressure difference before and after the DPF in the prior art.
Description
Technical Field
The embodiment of the invention relates to the technical field of fault diagnosis, in particular to a fault diagnosis method and device of a diesel particulate filter, a vehicle and a storage medium.
Background
Soot particulates are one of the most important pollutants in Diesel exhaust emissions, and a Diesel Particulate Filter (DPF) is a relatively effective device currently used to reduce Diesel soot Particulate emissions. With the extension of service life, DPF is easy to lose efficacy, can't filter the smoke and dust granule for the smoke and dust granule discharges in the atmosphere, the polluted environment, and then influences the emission performance of whole car.
In order to detect whether the DPF has a failure fault, the prior art mainly uses a carbon-oxygen sensor to detect a pressure difference between the front and the back of the DPF, and compares the pressure difference with an empirical value to judge whether the DPF has a fault. The carbon-oxygen sensor used in the mode has high cost and low reliability, and the accuracy of the judgment result is low by comparing the detection value with the empirical value.
Disclosure of Invention
The embodiment of the invention provides a fault diagnosis method and device for a diesel particulate filter, a vehicle and a storage medium, and aims to improve diagnosis precision.
In a first aspect, an embodiment of the present invention provides a method for diagnosing a fault of a diesel particulate filter, including:
acquiring detection parameter information of the diesel particulate filter, wherein the detection parameter information comprises detection regeneration times or detection pressure difference;
determining the soot content of engine oil in the engine;
determining an actual soot content within said diesel particulate filter based on said soot content;
and carrying out fault diagnosis on the diesel particulate filter according to the detection parameter information and the actual soot content to obtain a diagnosis result.
In a second aspect, an embodiment of the present invention further provides a fault diagnosis apparatus for a diesel particulate filter, including:
the system comprises an information acquisition module, a regeneration detection module and a pressure difference detection module, wherein the information acquisition module is used for acquiring detection parameter information of the diesel particulate filter, and the detection parameter information comprises detection regeneration times or detection pressure difference;
the engine oil soot content determining module is used for determining the engine oil soot content of engine oil in the engine;
an actual soot content determining module for determining an actual soot content within said diesel particulate filter based on said soot content;
and the fault diagnosis module is used for carrying out fault diagnosis on the diesel particulate filter according to the detection parameter information and the actual soot content to obtain a diagnosis result.
In a third aspect, an embodiment of the present invention further provides a vehicle, including: a diesel particulate filter and engine, further comprising:
a driving controller;
a differential pressure sensor for detecting a differential pressure of the dpf and transmitting the differential pressure to the vehicle controller;
the engine oil quality sensor is used for detecting the dielectric constant of the engine oil in the engine and sending the dielectric constant to the traveling controller;
the instrument panel is used for giving an alarm when the diesel particle filter fails;
a memory for storing one or more programs;
when the one or more programs are executed by the running gear controller, the running gear controller is caused to implement the method for diagnosing a malfunction of a diesel particulate filter according to the first aspect.
In a fourth aspect, the embodiment of the present invention further provides a storage medium, on which a computer program is stored, which when executed by a vehicle controller, implements the method for diagnosing a malfunction of a diesel particulate filter according to the first aspect.
The embodiment of the invention provides a fault diagnosis method and device of a diesel particulate filter, a vehicle and a storage medium. Compared with the prior art, the embodiment of the invention indirectly determines the actual soot content in the diesel particulate filter according to the soot content of engine oil in the engine, and then completes fault diagnosis according to the actual soot content, thereby solving the problem that the diagnosis precision is lower because the carbon oxygen sensor is used for detecting the pressure difference before and after the DPF and then fault diagnosis is carried out according to the pressure difference before and after the DPF in the prior art.
Drawings
Fig. 1 is a flowchart of a fault diagnosis method for a diesel particulate filter according to an embodiment of the present invention;
fig. 2 is a flowchart of a fault diagnosis method for a diesel particulate filter according to a second embodiment of the present invention;
fig. 3 is a structural diagram of a failure diagnosis apparatus of a diesel particulate filter according to a third embodiment of the present invention;
fig. 4 is a structural diagram of a vehicle according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures. In addition, the embodiments and features of the embodiments in the present invention may be combined with each other without conflict.
Example one
Fig. 1 is a flowchart of a fault diagnosis method for a dpf, which is applicable to a fault diagnosis situation of the dpf, and is implemented by a fault diagnosis apparatus for the dpf, which may be implemented by software and/or hardware and integrated in a vehicle, specifically, the method includes the following steps:
and S110, acquiring detection parameter information of the diesel particle filter.
Wherein the detection parameter information includes a detection regeneration number or a detection pressure difference. Diesel particulate filters, also known as diesel particulate traps, are ceramic filters installed in the exhaust system of diesel engines to trap particulates in the exhaust gas and prevent them from entering the atmosphere and polluting the environment. The diesel particulate filter mainly comprises three stages of empty, full and regeneration, wherein the empty stage refers to an initial stage that the diesel particulate filter has fewer particles and no blockage inside and does not influence the normal work of an engine. The full stage is an intermediate stage in which the diesel particulate filter has more and more particulates and higher internal pressure as the collection operation progresses, so that the exhaust resistance of the exhaust gas is increased, and the fuel consumption and power of the engine are seriously affected. When the oil consumption and power of the engine are seriously affected, the cleaning and reduction work of the particles in the diesel particle filter is needed, the carbon smoke particles accumulated in the diesel particle filter are disposed by high temperature or other methods, and the filtering capacity of the diesel particle filter is recovered, and the process is called the regeneration of the diesel particle filter. Specifically, when it is detected that the differential pressure across the dpf reaches a set value, the dpf regeneration needs to be controlled, so that the number of regenerations can be determined as the number of detected regenerations by detecting the number of times of soot treatment. The detected pressure difference is a pressure difference between the front and the rear of the dpf, and may be detected by a pressure difference sensor, and the embodiment does not limit the type and model of the pressure difference sensor.
And S120, determining the soot content of the engine oil in the engine.
The soot content of the engine oil is the amount of soot that enters the engine oil after engine production. In practical application, part of soot generated by an engine enters engine oil, part of soot enters a diesel particulate filter, and the soot content entering the engine oil and the soot content entering the diesel particulate filter have a certain correlation. In consideration of the prior art, a carbon-oxygen sensor is used for detecting the pressure difference between the front and the rear of the diesel particulate filter, and the detected pressure difference between the front and the rear is compared with the previously detected pressure difference, so that whether the diesel particulate filter fails or not is judged. Because the reliability of the carbon-oxygen sensor is low, the pressure difference before and after the carbon-oxygen sensor is measured has certain deviation with the soot content in the diesel particulate filter, and the pressure difference measured by the previous experience is also measured by the pressure difference sensor, so that the accuracy of the diagnosis result is further reduced.
Therefore, the soot content of engine oil in the engine is determined, the soot content entering the diesel particulate filter is determined by combining the correlation of the soot content entering the engine oil and the soot content entering the diesel particulate filter, and then the fault diagnosis is carried out on the diesel particulate filter according to the soot content entering the diesel particulate filter, so that the accuracy of the diagnosis result is improved. It is understood that soot entering the oil affects the dielectric constant of the oil, and thus the dielectric constant of the oil may be detected by a Sensor and then the amount of soot entering the oil may be determined according to the dielectric constant, and the embodiment does not limit the type and model of the Sensor for detecting the dielectric constant, and alternatively, a Fluid Property Sensor (FPS) may be selected. For example, the dielectric constant can be input into a predetermined soot content model, and the soot content can be output from the soot content model, wherein the soot content model can be a deep learning model or a mathematical model reflecting the relationship between the dielectric constant and the soot content, and the soot content model is not limited in the examples as long as the soot content of the engine oil can be determined according to the dielectric constant.
And S130, determining the actual soot content in the diesel particulate filter according to the soot content of the engine oil.
The actual soot content is the soot content actually entering the diesel particulate filter, and since the soot content entering the engine oil and the soot content entering the diesel particulate filter have a certain correlation, the soot content actually entering the diesel particulate filter can be determined according to the correlation and the soot content of the engine oil, so that a basis is provided for fault diagnosis.
S140, carrying out fault diagnosis on the diesel particulate filter according to the detection parameter information and the actual soot content to obtain a diagnosis result.
The soot content entering the diesel particulate filter is related to the front-rear pressure difference and the regeneration times of the diesel particulate filter, the more the soot content entering the diesel particulate filter is, the larger the front-rear pressure difference of the diesel particulate filter is, and when the front-rear pressure difference reaches a certain set value, the diesel particulate filter is regenerated once. Therefore, the malfunction diagnosis of the diesel particulate filter can be performed based on the actual soot content and the pressure difference before and after, or based on the actual soot content and the number of regenerations. Alternatively, for convenience of comparison, the actual soot content can be converted into a corresponding pressure difference or regeneration number, and the embodiment does not limit the conversion manner, for example, the actual soot content can be converted into a corresponding pressure difference or regeneration number by a set conversion model.
Specifically, taking the pressure difference as an example, if the pressure difference between the front and the rear of the diesel particulate filter detected by the pressure difference sensor is smaller than the actually calculated pressure difference, it is indicated that the diesel particulate filter fails to effectively filter the particulates in the exhaust gas, and the particulates enter the atmosphere to pollute the environment, otherwise, the diesel particulate filter is normal. Compared with the prior art, the soot content actually entering the diesel particulate filter is determined according to the soot content of the engine oil, and then whether the diesel particulate filter has a fault is judged according to the actual soot content, so that the problem of poor accuracy caused by empirically measuring the pressure difference before and after the diesel particulate filter is solved, a judgment standard with higher accuracy is provided for fault diagnosis, and meanwhile, the soot content entering the diesel particulate filter can be known.
The embodiment of the invention provides a fault diagnosis method of a diesel particulate filter, which comprises the steps of determining the oil soot content of engine oil in an engine by obtaining detection parameter information of the diesel particulate filter, determining the actual soot content in the diesel particulate filter according to the oil soot content, and carrying out fault diagnosis on the diesel particulate filter according to the detection parameter information and the actual soot content to obtain a diagnosis result. Compared with the prior art, the embodiment of the invention indirectly determines the actual soot content in the diesel particulate filter according to the soot content of engine oil in the engine, and then completes fault diagnosis according to the actual soot content, thereby solving the problem that the diagnosis precision is lower because the carbon oxygen sensor is used for detecting the pressure difference before and after the DPF and then fault diagnosis is carried out according to the pressure difference before and after the DPF in the prior art.
Example two
Fig. 2 is a flowchart of a fault diagnosis method for a diesel particulate filter according to a second embodiment of the present invention, which is embodied on the basis of the second embodiment, and includes the following steps:
s210, detecting parameter information of the diesel particle filter is obtained.
And S220, acquiring the dielectric constant of the engine oil in the engine, which is detected by the engine oil quality sensor.
Specifically, in the embodiment, the oil quality sensor is used for detecting the dielectric constant of the oil in the engine, and compared with a carbon-oxygen sensor, the cost of the oil quality sensor can be reduced.
And S230, determining the soot content of the engine oil in the engine according to the dielectric constant.
The dielectric constant has a certain correlation with the soot content, which can be obtained in advance through a large number of experiments, and the form of the correlation is not limited in the examples. And determining the soot content of the engine oil in the engine according to the correlation and the dielectric constant. Specifically, the soot content can be determined by:
inputting the dielectric constant into a preset soot content model, and outputting the soot content from the soot content model to be used as the engine oil soot content of the engine oil.
The soot content model is predetermined and the model used to determine the soot content of the engine oil can be a mathematical expression or a deep learning model, which is not limited by the examples. Specifically, if the soot content model is a mathematical expression, the dielectric constant is substituted into the mathematical expression to obtain the corresponding oil soot content, and if the soot content model is a deep learning model, the dielectric constant is input into the pre-trained deep learning model, and the result is output by the deep learning model as the oil soot content. Alternatively, the soot content model in the examples is a mathematical expression having the form y ═ ax + b, where a and b are constants, x is the dielectric constant, and y is the soot content.
S240, obtaining the correlation between the soot content of the engine oil and the soot content of the diesel particulate filter.
The soot content of the engine is related to the soot content in the diesel particulate filter by a ratio of 1:9, assuming that the part of the entering engine oil is 1% of the original emission of the engine and the part of the entering diesel particulate filter is 99% of the original emission of the engine.
And S250, determining the actual soot content in the diesel particulate filter according to the correlation and the soot content of the engine oil.
The actual soot content in the diesel particulate filter can be determined from the correlation and the determined soot content of the engine oil. Illustratively, an oil soot content of 2g and a relationship of oil soot content to soot content in the diesel particulate filter of 1:9, the actual soot content in the diesel particulate filter can be determined to be 18 g.
S260, converting the actual soot content into the actual pressure difference or the actual regeneration times of the diesel particulate filter according to a preset soot content conversion model.
The soot content conversion model is used to convert the actual soot content in the diesel particulate filter to an actual pressure differential or actual number of regenerations for comparison with the actual measured pressure differential or number of regenerations to determine a diagnostic result. Examples the soot content conversion model is not limited, and alternatively, the soot content conversion model is in the form of y-mx2A mathematical expression of + nx + p, wherein m, n and p are constants, x is the actual soot content, and y is the actual pressure difference. The actual number of regenerations may be determined from the actual pressure difference, the number of regenerations being 1 when the actual pressure difference is greater than the set value, and 0 otherwise.
S270, comparing the detection pressure difference with the actual pressure difference, or comparing the detection regeneration times with the actual regeneration times.
And comparing the detected pressure difference with the actual pressure difference, or comparing the detected regeneration times with the actual regeneration times, and determining whether the diesel particulate filter has faults according to the comparison result. Specifically, if the detected pressure difference is smaller than the actual pressure difference, or the number of detected regenerations is smaller than the actual number of regenerations, it indicates that the dpf is faulty, otherwise, it indicates that the dpf is normal.
And S280, judging whether the detection pressure difference is smaller than the actual pressure difference or not, or judging whether the detection regeneration frequency is smaller than the actual regeneration frequency or not, if so, executing S290, otherwise, executing S2100.
And S290, determining that the diesel particle filter has faults, and giving an alarm.
If the detected pressure difference is smaller than the actual pressure difference or the detected regeneration times are smaller than the actual regeneration times, the diesel particulate filter is indicated to have a fault, optionally, a fault signal can be sent to an instrument panel, and an alarm is given through the instrument panel to prompt a user that the diesel particulate filter has the fault.
S2100, determining that the diesel particulate filter is not in fault.
And if the detected pressure difference is greater than or equal to the actual pressure difference or the detected regeneration times are greater than or equal to the actual regeneration times, indicating that the diesel particulate filter is normal.
The second embodiment of the invention provides a fault diagnosis method for a diesel particulate filter, on the basis of the above embodiment, the soot content of engine oil is determined according to the dielectric constant of the engine oil in the engine, the actual soot content entering the diesel particulate filter is determined according to the correlation between the soot content of engine oil and the soot content entering the diesel particulate filter, and then fault diagnosis is performed on the diesel particulate filter according to the actual soot content and the actually measured pressure difference or regeneration times, so that the cost is reduced, and the diagnosis precision is improved.
EXAMPLE III
Fig. 3 is a structural diagram of a failure diagnosis apparatus of a diesel particulate filter according to a third embodiment of the present invention, which is capable of executing the failure diagnosis method of the diesel particulate filter according to the third embodiment, and specifically, the apparatus includes:
an information obtaining module 310, configured to obtain detection parameter information of the dpf, where the detection parameter information includes a detection regeneration time or a detection pressure difference;
an engine oil soot content determination module 320 for determining an engine oil soot content of an engine oil in the engine;
an actual soot content determining module 330 for determining an actual soot content within said diesel particulate filter based on said soot content of engine oil;
and the fault diagnosis module 340 is used for carrying out fault diagnosis on the diesel particulate filter according to the detection parameter information and the actual soot content to obtain a diagnosis result.
The third embodiment of the invention provides a fault diagnosis device for a diesel particulate filter, which determines the soot content of engine oil in an engine by obtaining detection parameter information of the diesel particulate filter, determines the actual soot content in the diesel particulate filter according to the soot content of the engine oil, and performs fault diagnosis on the diesel particulate filter according to the detection parameter information and the actual soot content to obtain a diagnosis result. Compared with the prior art, the embodiment of the invention indirectly determines the actual soot content in the diesel particulate filter according to the soot content of engine oil in the engine, and then completes fault diagnosis according to the actual soot content, thereby solving the problem that the diagnosis precision is lower because the carbon oxygen sensor is used for detecting the pressure difference before and after the DPF and then fault diagnosis is carried out according to the pressure difference before and after the DPF in the prior art.
Based on the above embodiment, the soot content determining module 320 includes:
the dielectric constant acquisition unit is used for acquiring the dielectric constant of the engine oil in the engine detected by the engine oil quality sensor;
and the engine oil soot content determining unit is used for determining the engine oil soot content of the engine according to the dielectric constant.
On the basis of the above examples, an oil soot content determining unit is specifically configured to input the dielectric constant into a preset soot content model, and to output a soot content from the soot content model as the oil soot content of the oil in the engine.
On the basis of the above embodiment, the actual soot content determining module 330 includes:
a correlation obtaining unit for obtaining a correlation between the soot content of the engine oil and the soot content of the diesel particulate filter;
an actual soot content determining unit for determining an actual soot content in said diesel particulate filter based on said correlation and said engine soot content.
On the basis of the above embodiment, the fault diagnosis module 340 includes:
a conversion module for converting the actual soot content into an actual pressure difference or actual regeneration number of the diesel particulate filter according to a preset soot content conversion model;
a comparison module for comparing the detected pressure difference with the actual pressure difference, or the detected regeneration frequency with the actual regeneration frequency;
and the judging module is used for determining that the diesel particle filter has faults and giving an alarm if the detection pressure difference is smaller than the actual pressure difference or the detection regeneration times are smaller than the actual regeneration times.
The fault diagnosis device of the diesel particulate filter provided by the third embodiment of the invention can be used for executing the fault diagnosis method of the diesel particulate filter provided by the third embodiment of the invention, and has corresponding functions and beneficial effects.
Example four
Fig. 4 is a structural diagram of a vehicle according to a fourth embodiment of the present invention, and specifically, referring to fig. 4, the vehicle includes: the vehicle controller 410, the memory 420, the differential pressure sensor 430, the oil quality sensor 440, the diesel particulate filter 450, the engine 460, and the instrument panel 470 may be connected by a bus or other means in the vehicle, and the vehicle controller 410, the memory 420, the differential pressure sensor 430, the oil quality sensor 440, the diesel particulate filter 450, the engine 460, and the instrument panel 470 are connected by a bus in fig. 4 as an example. The differential pressure sensor 430 is configured to detect a differential pressure of the dpf 450 and transmit the differential pressure to the vehicle controller 410. And an oil quality sensor 440 for detecting a dielectric constant of the oil in the engine 460 and transmitting the dielectric constant to the traveling controller 410. And a gauge panel 470 for alarming when the dpf 450 malfunctions. A diesel particulate filter 450 for filtering particulates such as soot from the exhaust.
The memory 420 serves as a computer-readable storage medium for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the fault diagnosis method of the dpf in the embodiment of the present invention. The running controller 410 executes various functional applications and data processing of the vehicle by running software programs, instructions, and modules stored in the memory 420, that is, implements the fault diagnosis method of the diesel particulate filter of the above-described embodiment.
The memory 420 mainly includes a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 420 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 420 may further include memory located remotely from the vehicle controller 410, which may be connected to the vehicle over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The vehicle according to the fourth embodiment of the present invention is the same as the method for diagnosing the malfunction of the dpf according to the first embodiment of the present invention, and the details of the technique not described in detail in the present embodiment can be referred to the above embodiments, and the present embodiment has the same advantageous effects as the method for diagnosing the malfunction of the dpf.
EXAMPLE five
Fifth embodiment of the present invention also provides a storage medium having a computer program stored thereon, where the computer program is executed by a vehicle controller to implement the method for diagnosing the malfunction of the dpf according to the fifth embodiment of the present invention.
Of course, the storage medium containing the computer-executable instructions provided by the embodiments of the present invention is not limited to the operations in the fault diagnosis method of the dpf described above, and may also perform the related operations in the fault diagnosis method of the dpf provided by the embodiments of the present invention, and has corresponding functions and advantages.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes instructions for enabling a computer device (which may be a robot, a personal computer, a server, or a network device) to execute the method for diagnosing the fault of the diesel particulate filter according to the embodiments of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (9)
1. A method of diagnosing a malfunction of a diesel particulate filter, comprising:
acquiring detection parameter information of the diesel particulate filter, wherein the detection parameter information comprises detection regeneration times or detection pressure difference;
determining the soot content of engine oil in the engine;
determining an actual soot content within said diesel particulate filter based on said soot content;
according to the detection parameter information and the actual soot content, carrying out fault diagnosis on the diesel particulate filter to obtain a diagnosis result;
said determining an actual soot content within said diesel particulate filter based on said soot content comprising:
obtaining a correlation between said soot content of the engine oil and the soot content of the diesel particulate filter;
determining an actual soot content within said diesel particulate filter based on said correlation and said soot content.
2. The method of claim 1, wherein said determining an oil soot content of an oil in an engine comprises:
acquiring the dielectric constant of the engine oil in the engine detected by an engine oil quality sensor;
and determining the soot content of the engine oil in the engine according to the dielectric constant.
3. The method of claim 2, wherein said determining an oil soot content of the oil in the engine based on the dielectric constant comprises:
inputting the dielectric constant into a preset soot content model, and outputting the soot content from the soot content model to be used as the engine oil soot content of the engine oil.
4. The method of claim 1, wherein said diagnosing a malfunction of said diesel particulate filter based on said sensed parameter information and actual soot content to obtain a diagnostic result comprises:
converting the actual soot content into an actual pressure difference or an actual number of regenerations of the diesel particulate filter according to a preset soot content conversion model;
comparing the detected pressure difference with the actual pressure difference, or the number of detected regenerations with the number of actual regenerations;
and if the detection pressure difference is smaller than the actual pressure difference or the detection regeneration times are smaller than the actual regeneration times, determining that the diesel particulate filter has a fault, and giving an alarm.
5. A malfunction diagnosis device of a diesel particulate filter, characterized by comprising:
the system comprises an information acquisition module, a regeneration detection module and a pressure difference detection module, wherein the information acquisition module is used for acquiring detection parameter information of the diesel particulate filter, and the detection parameter information comprises detection regeneration times or detection pressure difference;
the engine oil soot content determining module is used for determining the engine oil soot content of engine oil in the engine;
an actual soot content determining module for determining an actual soot content within said diesel particulate filter based on said soot content;
the fault diagnosis module is used for carrying out fault diagnosis on the diesel particulate filter according to the detection parameter information and the actual soot content to obtain a diagnosis result;
the actual soot content determining module includes:
a correlation obtaining unit for obtaining a correlation between the soot content of the engine oil and the soot content of the diesel particulate filter;
an actual soot content determining unit for determining an actual soot content in said diesel particulate filter based on said correlation and said engine soot content.
6. The apparatus of claim 5, wherein the engine oil soot content determining module comprises:
the dielectric constant acquisition unit is used for acquiring the dielectric constant of the engine oil in the engine detected by the engine oil quality sensor;
and the engine oil soot content determining unit is used for determining the engine oil soot content of the engine according to the dielectric constant.
7. The apparatus of claim 6, wherein the engine oil soot content determining unit is configured to input the dielectric constant into a preset soot content model, and to output a soot content from the soot content model as the engine oil soot content of the engine oil.
8. A vehicle, comprising: a diesel particulate filter and engine, further comprising:
a driving controller;
a differential pressure sensor for detecting a differential pressure of the dpf and transmitting the differential pressure to the vehicle controller;
the engine oil quality sensor is used for detecting the dielectric constant of the engine oil in the engine and sending the dielectric constant to the traveling controller;
the instrument panel is used for giving an alarm when the diesel particle filter fails;
a memory for storing one or more programs;
when the one or more programs are executed by the running gear controller, the running gear controller is caused to implement the fault diagnosis method of the diesel particulate filter of any one of claims 1-4.
9. A storage medium on which a computer program is stored, characterized in that the program, when executed by a vehicle controller, implements a method of diagnosing a malfunction of a diesel particulate filter according to any one of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910589078.4A CN110410189B (en) | 2019-07-02 | 2019-07-02 | Fault diagnosis method and device for diesel particulate filter, vehicle and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910589078.4A CN110410189B (en) | 2019-07-02 | 2019-07-02 | Fault diagnosis method and device for diesel particulate filter, vehicle and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110410189A CN110410189A (en) | 2019-11-05 |
| CN110410189B true CN110410189B (en) | 2020-12-04 |
Family
ID=68358673
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910589078.4A Withdrawn - After Issue CN110410189B (en) | 2019-07-02 | 2019-07-02 | Fault diagnosis method and device for diesel particulate filter, vehicle and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110410189B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113984124B (en) * | 2021-10-28 | 2024-02-02 | 中冶赛迪信息技术(重庆)有限公司 | Medium filter detection method, system, medium and electronic terminal |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2436891A2 (en) * | 2010-10-01 | 2012-04-04 | Deere & Company | Particulate filter ash loading prediction method and vehicle using the same |
| CN108798833A (en) * | 2018-05-25 | 2018-11-13 | 上海汽车集团股份有限公司 | The modeling method of particle trap ash accumulation model |
| JP2019002391A (en) * | 2017-06-20 | 2019-01-10 | マツダ株式会社 | Oil exchange notification method of diesel engine and oil exchange notification device |
| CN109187932A (en) * | 2018-09-29 | 2019-01-11 | 潍柴动力股份有限公司 | A kind of machine oil quality detecting method and device |
| CN110107387A (en) * | 2019-04-08 | 2019-08-09 | 苏州艾思泰车辆科技有限公司 | DPF system OBD method for diagnosing faults based on machine oil quality sensor |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102004033412A1 (en) * | 2004-07-10 | 2006-02-02 | Robert Bosch Gmbh | Method for operating a particulate filter arranged in an exhaust area of an internal combustion engine and device for carrying out the method |
-
2019
- 2019-07-02 CN CN201910589078.4A patent/CN110410189B/en not_active Withdrawn - After Issue
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2436891A2 (en) * | 2010-10-01 | 2012-04-04 | Deere & Company | Particulate filter ash loading prediction method and vehicle using the same |
| JP2019002391A (en) * | 2017-06-20 | 2019-01-10 | マツダ株式会社 | Oil exchange notification method of diesel engine and oil exchange notification device |
| CN108798833A (en) * | 2018-05-25 | 2018-11-13 | 上海汽车集团股份有限公司 | The modeling method of particle trap ash accumulation model |
| CN109187932A (en) * | 2018-09-29 | 2019-01-11 | 潍柴动力股份有限公司 | A kind of machine oil quality detecting method and device |
| CN110107387A (en) * | 2019-04-08 | 2019-08-09 | 苏州艾思泰车辆科技有限公司 | DPF system OBD method for diagnosing faults based on machine oil quality sensor |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110410189A (en) | 2019-11-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110462177B (en) | Method and computer program product for diagnosing a particulate filter | |
| CN110425023B (en) | Regeneration control method and device for diesel particulate filter, vehicle and storage medium | |
| US10519841B2 (en) | Method and system for monitoring of a physical quantity related to a particulate mass in at least one exhaust pipe | |
| EP2578827A1 (en) | Exhaust gas treatment method | |
| US20130192214A1 (en) | Soot sensor monitoring | |
| JP2008008296A (en) | Diagnostic method and device of particle filter | |
| US20150020507A1 (en) | Particulate filter performance monitoring | |
| CN104100341A (en) | DPF (Diesel Particulate Filter) self-diagnosis device, self-diagnosis method and engine tail gas treatment system | |
| KR102354297B1 (en) | Method and device for diagnosis of a particle filter arranged in the exhaust gas system of a petrol-operated internal combustion engine | |
| JP2008536054A (en) | Method for diagnosing presence of exhaust gas after-treatment device and use of on-board diagnostic technology | |
| CN113738485B (en) | Carbon loading capacity determining method and device | |
| CN110410189B (en) | Fault diagnosis method and device for diesel particulate filter, vehicle and storage medium | |
| CN115638042A (en) | Carbon loading model correction method and device, storage medium and electronic equipment | |
| CN111894713B (en) | Method and device for determining crystallization fault of selective catalytic reduction device | |
| CN112555001A (en) | Diesel vehicle, fault determination method thereof, and computer-readable storage medium | |
| CN117345392A (en) | Method and device for diagnosing overload of particulate filter and vehicle | |
| KR101339237B1 (en) | Method for detecting breakage of dpf | |
| CN114673585B (en) | Fault diagnosis method and device for differential pressure sensor and processor | |
| KR102324288B1 (en) | Method and device for diagnosis of a particle filter arranged in the exhaust gas system of a petrol-operated internal combustion engine | |
| CN110005509B (en) | Method and system for detecting the amount of particulate matter trapped by a diesel particulate filter | |
| CN112611578A (en) | Function test method and system for vehicle diagnosis and diagnosis equipment | |
| KR101862225B1 (en) | Apparatus for monitoring condition of dpf for vehicle | |
| CN116086809B (en) | Engine monitoring method and device | |
| KR20160068162A (en) | Method for measuring a rate of ash deposition in DPF | |
| KR102249588B1 (en) | Exhaust gas post processing apparatus and control method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| AV01 | Patent right actively abandoned | ||
| AV01 | Patent right actively abandoned | ||
| AV01 | Patent right actively abandoned |
Granted publication date: 20201204 Effective date of abandoning: 20240904 |
|
| AV01 | Patent right actively abandoned |
Granted publication date: 20201204 Effective date of abandoning: 20240904 |