Method, device and electronic device for correcting response time of particulate matter sensor

By determining the target hydrocarbon leakage amount and correcting the response time of the particulate matter sensor, the problem of hydrocarbon matter affecting the sensor response time is solved, and the accuracy of the efficiency monitoring of the particulate matter trap is achieved.

CN116220877BActive Publication Date: 2025-07-18WEICHAI POWER CO LTD
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Patent Information

Application Number
CN202310241752.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-03-10
Publication Date
2025-07-18
Estimated Expiration
2043-03-10

AI Technical Summary

Technical Problem

The hydrocarbon substance in the exhaust gas adheres to the particulate matter sensor electrode, resulting in an extended response time of the particulate matter sensor, affecting the accuracy of the efficiency monitoring of the particulate matter trap.

Method used

The accuracy of the response time is ensured by determining the target hydrocarbon leakage amount and correcting the initial particulate matter sensor response time according to its correction coefficient.

Benefits of technology

The accuracy of the response time of the particulate matter sensor is improved and the accuracy of the efficiency monitoring of the particulate matter trap is ensured.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application provides a method, device and electronic device for correcting the response time of a particulate matter sensor, relating to the technical field of engine exhaust emissions. During the process of the engine discharging exhaust gas, the target hydrocarbon leakage amount can be determined, and a correction coefficient can be determined according to the target hydrocarbon leakage amount. The initial response time of the particulate matter sensor can be corrected by this correction coefficient. Correcting the initial response time of the particulate matter sensor based on the hydrocarbon leakage amount can make the response time of the particulate matter sensor more accurate, thereby ensuring the accuracy of the particulate matter trap efficiency monitoring.
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Description

Technical Field

[0001] The present application relates to the technical field of engine exhaust emissions, and particularly to a method, device and electronic device for correcting the response time of a particulate matter sensor. Background Art

[0002] In order to reduce particulate matter in engine exhaust emissions, a particulate matter trap is usually provided in the exhaust emission system to filter the particulate matter. Particulate matter generally includes a combustible part and a non-combustible part. The combustible part can be burned off through regeneration, while the non-combustible part cannot be regenerated and burned. After the non-combustible part accumulates to a certain amount in the particulate matter trap, it will affect the efficiency of the particulate matter trap and requires ash cleaning.

[0003] Currently, for the monitoring of the efficiency of a particulate matter trap, a particulate matter sensor is mainly used. When the exhaust gas filtered by the particulate matter trap passes through the particulate matter sensor, particulate matter such as soot in the exhaust gas will adsorb on the electrodes of the particulate matter sensor. As the adsorbed particulate matter increases, a current will be generated between the two electrodes. If the current value between the electrodes on the particulate matter sensor reaches a set current threshold within a set response time, it is considered that the particulate matter trap fails. Among them, the response time refers to the time between the start time of the operation of the particulate matter sensor and the time when the set current threshold is reached, and is set according to the particulate matter concentration in the exhaust gas.

[0004] However, hydrocarbons in the exhaust gas will also adhere to the electrodes of the particulate matter sensor, which will cause the response time of the particulate matter sensor to extend, thereby affecting the accuracy of the monitoring of the efficiency of the particulate matter trap. Summary of the Invention

[0005] In order to solve the above problems in the prior art, the embodiments of the present application provide a method, device and electronic device for correcting the response time of a particulate matter sensor, which can correct the response time of the particulate matter sensor, thereby ensuring the accuracy of the monitoring of the efficiency of the particulate matter trap.

[0006] In a first aspect, the embodiments of the present application provide a method for correcting the response time of a particulate matter sensor, the method comprising:

[0007] During the process of the engine discharging exhaust gas, determining a target hydrocarbon leakage amount;

[0008] Determining a correction coefficient for the response time of the particulate matter sensor corresponding to the target hydrocarbon leakage amount;

[0009] Determining a corrected target particulate matter sensor response time according to the correction coefficient and an initial particulate matter sensor response time; wherein, the initial particulate matter sensor response time is the response time of the particulate matter sensor without hydrocarbon leakage.

[0010] In a possible implementation manner, the determination of the target hydrocarbon leakage amount includes:

[0011] Obtain the hydrocarbon amount upstream of the oxidation catalytic converter;

[0012] Determine the target hydrocarbon leakage amount according to the hydrocarbon amount.

[0013] In a possible implementation manner, the obtaining of the hydrocarbon amount upstream of the oxidation catalytic converter includes:

[0014] Take the sum of the hydrocarbon amount leaked by the engine and the hydrocarbon amount leaked by the fuel injector as the hydrocarbon amount upstream of the oxidation catalytic converter.

[0015] In a possible implementation manner, the determination of the target hydrocarbon leakage amount according to the hydrocarbon amount includes:

[0016] Determine a first hydrocarbon concentration according to the hydrocarbon amount; wherein, the first hydrocarbon concentration is the hydrocarbon concentration upstream of the oxidation catalytic converter;

[0017] Determine a second hydrocarbon concentration according to the first hydrocarbon concentration; wherein, the second hydrocarbon concentration is the hydrocarbon concentration downstream of the oxidation catalytic converter;

[0018] Determine the target hydrocarbon leakage amount according to the second hydrocarbon concentration.

[0019] In a possible implementation manner, the determination of the second hydrocarbon concentration according to the first hydrocarbon concentration includes:

[0020] Obtain the hydrocarbon conversion efficiency of the oxidation catalytic converter;

[0021] Determine the second hydrocarbon concentration according to the hydrocarbon conversion efficiency of the oxidation catalytic converter and the first hydrocarbon concentration.

[0022] In a possible implementation manner, the determination of the target hydrocarbon leakage amount according to the second hydrocarbon concentration includes:

[0023] Obtain the hydrocarbon conversion efficiency of the particulate matter trap;

[0024] Determine the target hydrocarbon leakage amount according to the hydrocarbon conversion efficiency of the particulate matter trap and the second hydrocarbon concentration.

[0025] In a possible implementation manner, before the determination of the target hydrocarbon leakage amount, the method further includes:

[0026] Obtain the particulate matter sensor response times corresponding to multiple hydrocarbon leakage amounts;

[0027] Determine the corresponding relationship between the multiple hydrocarbon leakage amounts and the correction coefficients of the particulate matter sensor response time according to the particulate matter sensor response times corresponding to the multiple hydrocarbon leakage amounts;

[0028] The determination of the correction coefficient of the particulate matter sensor response time corresponding to the target hydrocarbon leakage amount includes:

[0029] Determine the correction coefficient of the particulate matter sensor response time corresponding to the target hydrocarbon leakage amount according to the corresponding relationship between the multiple hydrocarbon leakage amounts and the correction coefficients of the particulate matter sensor response time.

[0030] In a second aspect, an embodiment of the present application provides a particulate matter sensor response time correction device, and the device includes:

[0031] A correction coefficient determination unit, configured to determine a target hydrocarbon leakage amount during the process of the engine discharging exhaust gas; and determine the correction coefficient of the particulate matter sensor response time corresponding to the target hydrocarbon leakage amount;

[0032] A correction unit, configured to determine the corrected target particulate matter sensor response time according to the correction coefficient and the initial particulate matter sensor response time; wherein, the initial particulate matter sensor response time is the particulate matter sensor response time when there is no hydrocarbon leakage.

[0033] In a possible implementation manner, the correction unit is specifically configured to obtain the hydrocarbon amount upstream of the oxidation catalytic converter;

[0034] Determine the target hydrocarbon leakage amount according to the hydrocarbon amount.

[0035] In a possible implementation manner, the correction unit is specifically configured to use the sum of the hydrocarbon amount leaked by the engine and the hydrocarbon amount leaked by the fuel injector as the hydrocarbon amount upstream of the oxidation catalytic converter.

[0036] In a possible implementation manner, the correction unit is specifically configured to determine a first hydrocarbon concentration according to the hydrocarbon amount, and the first hydrocarbon concentration is the hydrocarbon concentration upstream of the oxidation catalytic converter;

[0037] Determine a second hydrocarbon concentration according to the first hydrocarbon concentration, and the second hydrocarbon concentration is the hydrocarbon concentration downstream of the oxidation catalytic converter;

[0038] Determine the target hydrocarbon leakage amount according to the second hydrocarbon concentration.

[0039] In a possible implementation manner, the correction unit is specifically configured to obtain the hydrocarbon conversion efficiency of the oxidation catalytic converter;

[0040] Determine the second hydrocarbon concentration according to the hydrocarbon conversion efficiency of the oxidation catalyst converter and the first hydrocarbon concentration.

[0041] In a possible implementation, the correction unit is specifically configured to obtain the hydrocarbon conversion efficiency of the particulate matter trap;

[0042] Determine the target hydrocarbon leakage amount according to the hydrocarbon conversion efficiency of the particulate matter trap and the second hydrocarbon concentration.

[0043] In a possible implementation, the correction coefficient determination unit is further configured to obtain the particulate matter sensor response times corresponding to multiple hydrocarbon leakage amounts;

[0044] Determine the corresponding relationship between the multiple hydrocarbon leakage amounts and the correction coefficients of the particulate matter sensor response times according to the particulate matter sensor response times corresponding to the multiple hydrocarbon leakage amounts;

[0045] The determination of the correction coefficient of the particulate matter sensor response time corresponding to the target hydrocarbon leakage amount includes:

[0046] Determine the correction coefficient of the particulate matter sensor response time corresponding to the target hydrocarbon leakage amount according to the corresponding relationship between the multiple hydrocarbon leakage amounts and the correction coefficients of the particulate matter sensor response times.

[0047] In a third aspect, an embodiment of the present application provides an electronic device, including a memory and a processor. A computer program is stored on the memory and can run on the processor. When the computer program is executed by the processor, the method described in any one of the methods for correcting the particulate matter sensor response time in the first aspect is implemented.

[0048] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium. A computer program is stored in the computer-readable storage medium. When the computer program is executed by a processor, the method described in any one of the methods for correcting the particulate matter sensor response time in the first aspect is implemented.

[0049] A method, device, and electronic device for correcting the particulate matter sensor response time provided by an embodiment of the present application can determine the target hydrocarbon leakage amount during the process of the engine discharging exhaust gas, and determine the correction coefficient according to the target hydrocarbon leakage amount. The initial particulate matter sensor response time can be corrected by this correction coefficient. Correcting the initial particulate matter sensor response time based on the hydrocarbon leakage amount can make the particulate matter sensor response time more accurate, thereby ensuring the accuracy of the particulate matter trap efficiency monitoring. Description of the Drawings

[0050] To more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0051] Figure 1 Schematic structural diagram of a particulate matter sensor provided by an embodiment of the present application;

[0052] Figure 2 Flowchart of a method for correcting the response time of a particulate matter sensor provided by an embodiment of the present application;

[0053] Figure 3 Schematic diagram of an engine exhaust gas after-treatment system provided by an embodiment of the present application;

[0054] Figure 4 Flowchart of a method for correcting the response time of a particulate matter sensor provided by an embodiment of the present application;

[0055] Figure 5 Schematic structural diagram of a device for correcting the response time of a particulate matter sensor provided by an embodiment of the present application;

[0056] Figure 6 Schematic structural diagram of an electronic device provided by an embodiment of the present application. Detailed implementation manners

[0057] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0058] It should be noted that the terms "including" and "having" and their variations involved in the documents of the present application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0059] With the rapid development of technology, automobiles have become a commonly used means of transportation in people's daily lives, bringing great convenience to people's travel. However, with the sharp increase in the number of automobiles, the environmental pollution problem caused by particulate matter in automobile engine exhaust emissions has become increasingly serious. In order to reduce particulate matter in engine exhaust emissions, a particulate trap is usually set in the exhaust emission system to filter particulate matter. Particulate matter generally includes a combustible part and a non-combustible part. The combustible part can be burned off through regeneration, while the non-combustible part cannot be regenerated and burned. After the non-combustible part reaches a certain accumulation amount in the particulate trap, it will affect the efficiency of the particulate trap and ash cleaning treatment is required.

[0060] Currently, for the monitoring of the efficiency of particulate traps, particulate sensors are mainly used. As Figure 1 shown, the particulate sensor can include a sensor probe, a wiring harness, and a sensor control unit. When the exhaust gas filtered by the particulate trap passes through the particulate sensor, particulate matter such as soot in the exhaust gas will adsorb on the electrodes in the particulate sensor probe. As the adsorbed particulate matter continuously increases, a current will be generated between the two electrodes. The sensor control unit can obtain the current value of the current generated between the two electrodes through the wiring harness and send this current value to the vehicle's ECU (Electronic Control Unit). If within the set response time, the current value between the electrodes on the particulate sensor reaches the set current threshold, it is considered that the particulate trap fails. Among them, the ECU is the core of the electronic control system, which can determine the functions of the entire electronic control system. The response time is the time between the start time of the operation of the particulate sensor and the time when the set current threshold is reached, and is set according to the particulate matter concentration in the exhaust gas.

[0061] However, hydrocarbons in the exhaust gas will also adhere to the electrodes of the particulate sensor, which will hinder the generation of a conduction path between the adsorbed soot on the electrodes, resulting in an extended response time of the particulate sensor, thereby affecting the accuracy of the monitoring of the efficiency of the particulate trap.

[0062] Based on this, the embodiment of the present application provides a method for correcting the response time of a particulate sensor, which can determine the target hydrocarbon leakage amount during the process of the engine discharging exhaust gas, and determine a correction coefficient according to the target hydrocarbon leakage amount. The initial response time of the particulate sensor can be corrected through this correction coefficient. Correcting the initial response time of the particulate sensor based on the hydrocarbon leakage amount can make the response time of the particulate sensor more accurate, thereby ensuring the accuracy of the monitoring of the efficiency of the particulate trap.

[0063] To further illustrate the technical solutions provided in the embodiments of the present application, the following will be described in detail in conjunction with the accompanying drawings and specific implementation manners. Although the embodiments of the present application provide method operation steps as shown in the following embodiments or drawings, more or fewer operation steps may be included in the method based on routine or non-creative labor. In steps where there is no necessary causal relationship logically, the execution order of these steps is not limited to the execution order provided in the embodiments of the present application. When the method is actually processed or executed by the device, it can be executed in the method order shown in the embodiments or drawings or executed concurrently.

[0064] Figure 2 FIG. shows a flowchart of a method for correcting the response time of a particulate matter sensor provided in an embodiment of the present application. This method can be applied to the ECU of a vehicle. As Figure 2 shown, the method for correcting the response time of the particulate matter sensor may include the following steps:

[0065] Step S201, during the process of the engine discharging exhaust gas, determine the target hydrocarbon leakage amount.

[0066] In an alternative embodiment, before determining the target hydrocarbon leakage amount, the response times of the particulate matter sensor corresponding to multiple hydrocarbon leakage amounts may be obtained first.

[0067] Specifically, working condition points with different temperatures and different exhaust gas flows downstream of the ASC (Ammonia Slip Catalyst) in the engine exhaust gas after-treatment system may be selected respectively, and comparative tests with different hydrocarbon leakage amounts may be carried out respectively, so as to obtain the response times of the particulate matter sensor corresponding to the same current value under multiple hydrocarbon leakage amounts. For example, the different temperatures may be 250 °C and 350 °C, the different exhaust gas flows may be 300 m 3 / h and 600 m 3 / h, the multiple hydrocarbon leakage amounts may be 0 ppm, 1000 ppm and 2000 ppm, and the current value may be 12 mA.

[0068] The engine exhaust gas after-treatment system as Figure 3 shown may include a DOC (Diesel Oxidation Catalysis), a DPF (Diesel Particulate Filter), an SCR (Selective Catalytic Reduction), and an ASC (Ammonia Slip Catalyst).

[0069] The DOC in the engine exhaust after-treatment system is coated with noble metal catalysts (such as Pt) on a honeycomb ceramic carrier, which can reduce the chemical reaction activation energy of HC, CO, and SOF in the engine exhaust, enabling these substances to undergo oxidation reactions with the oxygen in the exhaust at a lower temperature and ultimately be converted into CO2 and H2O.

[0070] The DPF in the engine exhaust after-treatment system mainly filters and traps the particulate matter in the engine exhaust through diffusion, deposition, and impingement mechanisms. When the engine exhaust passes through the DPF, the particulate matter is trapped inside the filter element of the filter body, and the relatively clean exhaust is discharged into the atmosphere.

[0071] The SCR in the engine exhaust after-treatment system is used to reduce the content of nitrogen oxides (NOx) in the engine exhaust in engine after-treatment applications. Nitrogen oxides are one of the main harmful components of engine exhaust. The working principle of SCR is to inject a reducing agent into the exhaust pipe. Under the catalytic action of the catalyst, the reducing agent can react with the nitrogen oxides in the exhaust, thereby achieving the purpose of reducing the concentration of nitrogen oxides.

[0072] The ASC in the engine exhaust after-treatment system is set at the rear end of the SCR and can reduce the ammonia (NH3) leaked from the exhaust at the rear end of the SCR through catalytic oxidation.

[0073] After obtaining the particulate matter sensor response times corresponding to multiple hydrocarbon leakage amounts, the corresponding relationship between multiple hydrocarbon leakage amounts and the correction coefficients of the particulate matter sensor response time can be determined based on the particulate matter sensor response times corresponding to multiple hydrocarbon leakage amounts.

[0074] Exemplarily, assuming that the correction coefficient of the particulate matter sensor response time is f(x), when the hydrocarbon leakage amounts are 0 ppm, 1000 ppm, and 2000 ppm, and the particulate matter sensor response times corresponding to the particulate matter sensor current value reaching 12 mA are 1 s, 1.01 s, and 1.02 s respectively, then the corresponding relationship between the hydrocarbon leakage amount and the correction coefficient of the particulate matter sensor response time can be determined as f(x) = 1 + hydrocarbon leakage amount / 100000.

[0075] After obtaining the corresponding relationship between multiple hydrocarbon leakage amounts and the correction coefficients of the particulate matter sensor response time, the corresponding relationship between the hydrocarbon leakage amount and the correction coefficient of the particulate matter sensor response time can be stored in the cache of the ECU.

[0076] In an alternative embodiment, during the process of the engine discharging exhaust, the method for determining the target hydrocarbon leakage amount may include the following steps as Figure 4 shown:

[0077] Step S2011, obtain the hydrocarbon amount upstream of the DOC.

[0078] Specifically, the sum of the hydrocarbon quantity leaked from the engine and the hydrocarbon quantity leaked from the fuel injector can be used as the hydrocarbon quantity upstream of the DOC.

[0079] Among them, the fuel injector refers to the seventh fuel injector on the engine, which is installed on the exhaust manifold and mainly participates in the after-treatment work. When the DPF needs high-temperature regeneration, the ECU will control the seventh fuel injector to inject fuel into the exhaust pipe. The fuel burns when encountering high temperature, and then quickly raises the exhaust temperature to burn the blockage on the DPF.

[0080] Step S2012: Determine the first hydrocarbon concentration according to the hydrocarbon quantity upstream of the DOC.

[0081] After obtaining the hydrocarbon quantity upstream of the DOC, the first hydrocarbon concentration can be determined according to this hydrocarbon quantity.

[0082] Among them, the first hydrocarbon concentration is the hydrocarbon concentration upstream of the DOC.

[0083] Specifically, the first hydrocarbon concentration can be determined according to Equation (1), and Equation (1) can be expressed as:

[0084]

[0085] Step S2013: Determine the second hydrocarbon concentration according to the hydrocarbon conversion efficiency of the DOC and the first hydrocarbon concentration.

[0086] After determining the first hydrocarbon concentration, the hydrocarbon conversion efficiency of the DOC can be determined, and the second hydrocarbon concentration can be determined according to the hydrocarbon conversion efficiency of the DOC and the first hydrocarbon concentration.

[0087] Among them, the second hydrocarbon concentration is the hydrocarbon concentration downstream of the DOC.

[0088] Specifically, the hydrocarbon conversion efficiency of the DOC can be determined according to Equation (2), and Equation (2) can be expressed as:

[0089]

[0090] Among them, 1.08 is the specific heat capacity of the gas, and 43000 is the calorific value of the fuel.

[0091] After determining the hydrocarbon conversion efficiency of the DOC according to Equation (2), the second hydrocarbon concentration can be determined according to Equation (3), and Equation (3) can be expressed as:

[0092] Second hydrocarbon concentration = (1 - DOC hydrocarbon conversion efficiency) × First hydrocarbon concentration (3)

[0093] Step S2014: Determine the target hydrocarbon leakage quantity according to the hydrocarbon conversion efficiency of the DPF and the second hydrocarbon concentration.

[0094] After determining the second hydrocarbon concentration, the hydrocarbon conversion efficiency of the DPF can be determined, and based on the hydrocarbon conversion efficiency of the DPF and the second hydrocarbon concentration, the target hydrocarbon leakage amount can be determined.

[0095] Among them, the target hydrocarbon leakage amount is the hydrocarbon concentration leaked from the engine outlet to the particulate matter sensor.

[0096] Specifically, the hydrocarbon conversion efficiency of the DPF can be determined according to Equation (4), and Equation (4) can be expressed as:

[0097]

[0098] Among them, 1.08 is the specific heat capacity of the gas, and 43000 is the calorific value of the fuel.

[0099] After determining the hydrocarbon conversion efficiency of the DPF according to Equation (4), the target hydrocarbon leakage amount can be determined according to Equation (5), and Equation (5) can be expressed as:

[0100] Target hydrocarbon leakage amount = (1 - DPF hydrocarbon conversion efficiency) × Second hydrocarbon concentration (5)

[0101] Among them, the DPF hydrocarbon conversion efficiency is the hydrocarbon conversion efficiency based on the current ambient temperature.

[0102] Step S202, determine the correction coefficient of the particulate matter sensor response time corresponding to the target hydrocarbon leakage amount.

[0103] After determining the target hydrocarbon leakage amount, the correction coefficient of the particulate matter sensor response time corresponding to the target hydrocarbon leakage amount can be determined according to the corresponding relationship between multiple hydrocarbon leakage amounts and the correction coefficient of the particulate matter sensor response time.

[0104] Among them, the corresponding relationship between the hydrocarbon leakage amount and the correction coefficient of the particulate matter sensor response time is pre-stored in the cache of the ECU.

[0105] Exemplarily, assuming that the corresponding relationship between the hydrocarbon leakage amount and the correction coefficient of the particulate matter sensor response time is f(x) = 1 + hydrocarbon leakage amount / 100000, and the target hydrocarbon leakage amount is 5000 pmm, then the correction coefficient of the particulate matter sensor response time can be determined to be 1.05.

[0106] Step S203, determine the corrected target particulate matter sensor response time according to the correction coefficient and the initial particulate matter sensor response time.

[0107] Among them, the initial particulate matter sensor response time is the particulate matter sensor response time without hydrocarbon leakage. In an optional embodiment, the initial particulate matter sensor response time can be determined according to the concentration of particulate matter in the engine exhaust emissions.

[0108] Exemplarily, the corrected target particulate matter sensor response time can be determined according to Equation (6), which can be expressed as:

[0109] T2 = f(x) × T1 (6)

[0110] Wherein, T2 is the corrected target particulate matter sensor response time, T1 is the initial particulate matter sensor response time before correction, that is, the particulate matter sensor response time without hydrocarbon leakage, and f(x) is the correction coefficient corresponding to the target hydrocarbon leakage amount obtained from the ECU cache according to the target hydrocarbon leakage amount in this DPF efficiency monitoring cycle.

[0111] Based on the same inventive concept, an exemplary structural diagram of a particulate matter sensor response time correction device is further provided in an embodiment of the present invention, as Figure 5 shown. The particulate matter sensor response time correction device includes:

[0112] A correction coefficient determination unit 501, configured to determine a target hydrocarbon leakage amount during the process of the engine discharging exhaust gas;

[0113] Determine the correction coefficient of the particulate matter sensor response time corresponding to the target hydrocarbon leakage amount.

[0114] A correction unit 502, configured to determine the corrected target particulate matter sensor response time according to the correction coefficient and the initial particulate matter sensor response time, where the initial particulate matter sensor response time is the particulate matter sensor response time without hydrocarbon leakage.

[0115] In a possible implementation manner, the correction unit 502 is specifically configured to obtain the hydrocarbon amount upstream of the oxidation catalytic converter, and determine the target hydrocarbon leakage amount according to the hydrocarbon amount.

[0116] In a possible implementation manner, the correction unit 502 is specifically configured to use the sum of the hydrocarbon amount leaked from the engine and the hydrocarbon amount leaked from the fuel injector as the hydrocarbon amount upstream of the oxidation catalytic converter.

[0117] In a possible implementation manner, the correction unit 502 is specifically configured to determine a first hydrocarbon concentration according to the hydrocarbon amount, where the first hydrocarbon concentration is the hydrocarbon concentration upstream of the oxidation catalytic converter; determine a second hydrocarbon concentration according to the first hydrocarbon concentration, where the second hydrocarbon concentration is the hydrocarbon concentration downstream of the oxidation catalytic converter; and determine the target hydrocarbon leakage amount according to the second hydrocarbon concentration.

[0118] In a possible implementation manner, the correction unit 502 is specifically configured to obtain the hydrocarbon conversion efficiency of the oxidation catalytic converter; and determine the second hydrocarbon concentration according to the hydrocarbon conversion efficiency of the oxidation catalytic converter and the first hydrocarbon concentration.

[0119] In a possible implementation manner, the correction unit 502 is specifically configured to obtain the hydrocarbon conversion efficiency of the particulate matter trap, and determine the target hydrocarbon leakage amount according to the hydrocarbon conversion efficiency of the particulate matter trap and the second hydrocarbon concentration.

[0120] In a possible implementation manner, the correction coefficient determination unit 501 is further configured to obtain the particulate matter sensor response times corresponding to multiple hydrocarbon leakage amounts, and determine the corresponding relationship between the multiple hydrocarbon leakage amounts and the correction coefficients of the particulate matter sensor response times, and determine the correction coefficient of the particulate matter sensor response time corresponding to the target hydrocarbon leakage amount, including:

[0121] Determine the correction coefficient of the particulate matter sensor response time corresponding to the target hydrocarbon leakage amount according to the corresponding relationship between the multiple hydrocarbon leakage amounts and the correction coefficients of the particulate matter sensor response times.

[0122] Based on the same inventive concept, an embodiment of the present application further provides an electronic device. In one embodiment, the electronic device may be an ECU. The electronic device at least includes a memory for storing data and a processor. Among them, for the processor for data processing, when performing processing, a microprocessor, a CPU, a GPU (Graphics Processing Unit), a DSP, or an FPGA may be used. For the memory, operation instructions are stored in the memory, and the operation instructions may be computer-executable code, and each step in the process of the particulate matter sensor response time correction method of the embodiment of the present application is implemented through the operation instructions.

[0123] Figure 6 A structural schematic diagram of an electronic device provided by an embodiment of the present application is shown in Figure 6 As shown, the electronic device 600 includes a memory 601, a processor 602, a data acquisition module 603, and a bus 604. The memory 601, the processor 602, and the data acquisition module 603 are all connected through the bus 604, and the bus 604 is used for transmitting data between the memory 601, the processor 602, and the data acquisition module 603.

[0124] Among them, the memory 601 can be used to store software programs and modules. The processor 602 executes various functional applications and data processing of the electronic device 600 by running the software programs and modules stored in the memory 601, such as the particulate matter sensor response time correction method provided in the embodiments of the present application. The memory 601 mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs of at least one application, etc.; the data storage area can store data created according to the use of the electronic device 600. In addition, the memory 601 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0125] The processor 602 is the control center of the electronic device 600, connecting various parts of the entire electronic device 600 through the bus 604 and various interfaces and lines. By running or executing the software programs and / or modules stored in the memory 601, and calling the data stored in the memory 601, it executes various functions of the electronic device 600 and processes data. Optionally, the processor 602 may include one or more processing units, such as a CPU, a GPU (Graphics Processing Unit), a digital processing unit, etc.

[0126] The data acquisition module 603 can provide a data transmission function for the electronic device 600. In the embodiments of the present application, the data acquisition module 603 can be used to acquire the current value sent by the particulate matter sensor.

[0127] The embodiments of the present application also provide a computer-readable storage medium. The computer storage medium stores computer-executable instructions. When the computer program is executed by the processor, it can be used to implement the particulate matter sensor response time correction method described in any embodiment of the present application.

[0128] In some possible implementation manners, each aspect of the particulate matter sensor response time correction method provided in the present application can also be implemented in the form of a program product, which includes program code. When the program product runs on a computer device, the program code is used to cause the computer device to execute the steps of the particulate matter sensor response time correction method according to various exemplary embodiments of the present application described above in this specification. For example, the computer device can execute the Figure 1 process flow of the particulate matter sensor response time correction method shown.

[0129] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0130] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0131] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0132] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are performed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0133] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these modifications and variations.

Claims

1. A method for correcting the response time of a particulate matter sensor, characterized in that, The method includes: During the process of the engine discharging exhaust gas, determining a target hydrocarbon leakage amount, which is determined by the exhaust gas mass flow rate, the amount of hydrocarbons upstream of the oxidation catalytic converter, the hydrocarbon conversion efficiency of the oxidation catalytic converter, and the hydrocarbon conversion efficiency of the particulate trap; Determining a correction coefficient for the particulate matter sensor response time corresponding to the target hydrocarbon leakage amount, where the correction coefficient is obtained from the ECU, and the ECU stores the correspondence between the hydrocarbon leakage amount and the correction coefficient of the particulate matter sensor response time; Determining a corrected target particulate matter sensor response time based on the correction coefficient of the particulate matter sensor response time corresponding to the target hydrocarbon leakage amount and the initial particulate matter sensor response time; wherein, the initial particulate matter sensor response time is the particulate matter sensor response time when there is no hydrocarbon leakage.

2. The method according to claim 1, wherein The determining of the target hydrocarbon leakage amount includes: Obtaining the amount of hydrocarbons upstream of the oxidation catalytic converter; Determining the target hydrocarbon leakage amount based on the amount of hydrocarbons.

3. The method according to claim 2, wherein The obtaining of the amount of hydrocarbons upstream of the oxidation catalytic converter includes: Taking the sum of the amount of hydrocarbons leaked by the engine and the amount of hydrocarbons leaked by the fuel injector as the amount of hydrocarbons upstream of the oxidation catalytic converter, and the fuel injector is used for the regeneration of the particulate trap.

4. The method according to claim 2, characterized in that, The determining of the target hydrocarbon leakage amount based on the amount of hydrocarbons includes: Determining a first hydrocarbon concentration based on the amount of hydrocarbons and the exhaust gas mass flow rate; wherein, the first hydrocarbon concentration is the hydrocarbon concentration upstream of the oxidation catalytic converter; Determining a second hydrocarbon concentration based on the first hydrocarbon concentration; wherein, the second hydrocarbon concentration is the hydrocarbon concentration downstream of the oxidation catalytic converter; Determining the target hydrocarbon leakage amount based on the second hydrocarbon concentration.

5. The method according to claim 4, characterized in that, The determining of the second hydrocarbon concentration based on the first hydrocarbon concentration includes: Obtaining the hydrocarbon conversion efficiency of the oxidation catalytic converter; Determining the second hydrocarbon concentration based on the hydrocarbon conversion efficiency of the oxidation catalytic converter and the first hydrocarbon concentration.

6. The method according to claim 4, characterized in that The determining of the target hydrocarbon leakage amount based on the second hydrocarbon concentration includes: Obtaining the hydrocarbon conversion efficiency of the particulate trap; Determining the target hydrocarbon leakage amount based on the hydrocarbon conversion efficiency of the particulate trap and the second hydrocarbon concentration.

7. The method according to claim 1, wherein Before determining the target hydrocarbon leakage amount, the method further includes: Obtaining the particulate matter sensor response times corresponding to multiple hydrocarbon leakage amounts; Determining the correspondence between the multiple hydrocarbon leakage amounts and the correction coefficients of the particulate matter sensor response times based on the particulate matter sensor response times corresponding to the multiple hydrocarbon leakage amounts; The determining of the correction coefficient for the particulate matter sensor response time corresponding to the target hydrocarbon leakage amount includes: Determining the correction coefficient for the particulate matter sensor response time corresponding to the target hydrocarbon leakage amount based on the correspondence between the multiple hydrocarbon leakage amounts and the correction coefficients of the particulate matter sensor response times.

8. A particulate matter sensor response time correction device, characterized in that, The device adopts the method according to any one of the preceding claims 1 to 7.

9. An electronic device, characterized in that, It includes a memory and a processor, and a computer program capable of running on the processor is stored on the memory. When the computer program is executed by the processor, the method described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium storing a computer program therein, characterized in that: When the computer program is executed by the processor, the method described in any one of claims 1 to 7 is implemented.

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