A particulate filter failure diagnosis method, device and equipment

Abstract

The embodiment of the application provides a kind of particle trap fault diagnosis method, device and equipment, the method comprises: periodically according to the particle concentration discharged from particle trap, predict the particle concentration corresponding to the time to be corrected for prompting user that particle trap exists fault;Every time to be corrected time is predicted once, according to the mapping relationship between the working condition of the preset particle trap and the correction coefficient, determine the correction coefficient corresponding to the current working condition of particle trap, and update time to be corrected based on the determined correction coefficient, obtain target time;If the target time obtained by the last update arrives, prompt user that particle trap exists fault.The application corrects the time to be corrected for prompting user that particle trap exists fault according to the particle concentration discharged from particle trap in real time by particle flow rate and temperature difference between particle trap, guarantees the accuracy of particle trap fault diagnosis.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of automobile emission control technology, in particular to a particulate matter trap fault diagnosis method, device and equipment. BACKGROUND

[0002] The particulate matter sensor is installed in the engine exhaust system, which is a sensor that converts the particulate matter concentration into an electric current value, and can monitor the conversion efficiency of the particulate matter trap.

[0003] For the engine equipped with the particulate matter sensor, when the flow rate of the particulate matter passing through the particulate matter trap is large, or there is a temperature difference between the particulate matter trap and the particulate matter sensor, the time for the particulate matter sensor current value to reach the diagnostic limit value will be shortened. For example, the measurement period of the particulate matter sensor is 9 minutes, and after 9 minutes, the regeneration stage is entered. In the case of a normal particulate matter trap, the particulate matter sensor current value will not reach the diagnostic limit value within the measurement period. Thus, after entering the regeneration stage, the particulate matter deposited between the two electrodes of the particulate matter sensor is removed, and the current value of the particulate matter sensor in the next measurement period will start to increase from the initial value. However, due to the large flow rate of the particulate matter, the time for the particulate matter sensor current value to reach the diagnostic limit value is shortened to 8 minutes. Thus, the current value of the particulate matter sensor will reach the diagnostic limit value before the end of the measurement period, and the electronic control unit will alarm to remind the user that the particulate matter trap has failed. However, in fact, the particulate matter sensor has not failed.

[0004] Currently, the accuracy of the fault diagnosis of the particulate matter trap based on the particulate matter sensor is not high. SUMMARY

[0005] The present application provides a particulate matter trap fault diagnosis method, device and equipment, which can accurately determine whether the particulate matter trap has failed.

[0006] In a first aspect, the embodiments of the present application provide a particulate matter trap fault diagnosis method, which comprises:

[0007] The period is used to predict a to-be-corrected time corresponding to the particulate matter concentration for prompting the user that the particulate matter trap has a fault according to the particulate matter concentration discharged from the particulate matter trap;

[0008] Each time the to-be-corrected time is predicted, a correction coefficient corresponding to the current working condition of the particulate matter trap is determined according to a mapping relationship between the preset working condition of the particulate matter trap and the correction coefficient, and the to-be-corrected time is updated based on the determined correction coefficient to obtain a target time, wherein the current working condition of the particulate matter trap includes the current flow rate of the particulate matter passing through the particulate matter trap and / or the current temperature difference between the particulate matter trap and the particulate matter sensor;

[0009] If the target time obtained by the last update is reached, it is prompted that the particulate filter has a fault.

[0010] In the above embodiments, since different working conditions of the particulate filter have different effects on the concentration of the particulate matter discharged from the particulate filter, the current value of the particulate sensor may not reach the diagnostic limit value within the measurement period, or may reach the diagnostic limit value when it should not, and thus false alarms or failure to timely report errors may occur. Based on the above problems, the embodiments of the present application do not use the time when the current value of the particulate sensor reaches the diagnostic limit value as the error reporting standard, but real-time predict the to-be-corrected time for prompting the user that the particulate filter has a fault based on the concentration of the particulate matter under the working condition of the particulate filter, and then determine the target time according to the correction coefficient corresponding to the working condition of the particulate filter, and use the target time as the error reporting standard. Since the working condition of the particulate filter may be different at different times, the concentration of the particulate matter discharged from the particulate filter is also different, and thus the finally predicted to-be-corrected time, correction coefficient and target time will also change in real time. If the particulate filter has no fault, the target time obtained by each update will not be reached after excluding the effect of the working condition of the particulate filter, and if the particulate filter has a fault, the target time obtained by a certain period of update will be reached after excluding the effect of the working condition of the particulate filter.

[0011] The target time in the embodiments of the present application has excluded the effect of the working condition of the particulate filter on the concentration of the particulate matter discharged from the particulate filter, and thus the accuracy of the fault diagnosis of the particulate filter is improved compared with the fault diagnosis method based on the particulate sensor.

[0012] In a possible implementation, the mapping relationship is established in the following manner:

[0013] For any one working condition of the particulate filter, based on the concentration of the particulate matter corresponding to the any one working condition of the particulate filter, the actual time when the current value of the particulate sensor corresponding to the any one working condition of the particulate filter reaches a preset current value is determined, wherein the concentration of the particulate matter is the concentration of the particulate matter discharged from the particulate filter under the any one working condition of the particulate filter;

[0014] Based on the actual time and a reference time, a correction coefficient is determined, and a mapping relationship between the correction coefficient and the any one working condition of the particulate filter is established, wherein the reference time is the time when the current value of the particulate sensor reaches a preset current value under a reference working condition of the particulate filter, and the concentration of the particulate matter discharged from the particulate filter under the reference working condition is within a preset reference concentration range.

[0015] In the above embodiment, by comparison experiments, actual times corresponding to different particulate matter traps working conditions are obtained, based on the actual times and the reference time, a correction coefficient in different working conditions can be determined, and then a mapping relationship between the correction coefficient and each particulate matter trap can be established. The determination of the mapping relationship facilitates quick determination of the correction coefficient corresponding to the current working condition after monitoring the current working condition of the particulate matter trap.

[0016] In a possible implementation, the working condition of the particulate matter trap includes a particulate matter flow rate passing through the particulate matter trap;

[0017] Based on the actual time and the reference time, the correction coefficient is determined, including:

[0018] The ratio of the actual time corresponding to the arbitrary one of the preset particulate matter flow rates passing through the particulate matter trap to the first reference time is taken as the correction coefficient;

[0019] The first reference time is a time when the current value of the particulate matter sensor corresponding to a reference particulate matter flow rate passing through the particulate matter trap reaches a preset current value, and the reference particulate matter flow rate passing through the particulate matter trap belongs to a reference working condition.

[0020] The mapping relationship between the correction coefficient and the arbitrary one of the preset working conditions of the particulate matter trap is established, including:

[0021] The mapping relationship between the correction coefficient and the arbitrary one of the preset particulate matter flow rates passing through the particulate matter trap is established.

[0022] In the above embodiment, since the particulate matter flow rate passing through the particulate matter trap will affect the particulate matter concentration discharged from the particulate matter trap, the ratio of the actual time corresponding to the arbitrary one of the preset particulate matter flow rates passing through the particulate matter trap to the first reference time is calculated to obtain the correction coefficient corresponding to the arbitrary one of the preset particulate matter flow rates passing through the particulate matter trap.

[0023] In a possible implementation, the working condition of the particulate matter trap includes a temperature difference between the particulate matter trap and the particulate matter sensor;

[0024] Based on the actual time and the reference time, the correction coefficient is determined, including:

[0025] The ratio of the actual time corresponding to the arbitrary one of the preset temperature differences between the particulate matter trap and the particulate matter sensor to the second reference time is taken as the correction coefficient;

[0026] The second reference time is a time when the current value of the particulate matter sensor reaches a preset current value corresponding to a preset temperature difference between the particulate matter trap and the particulate matter sensor, and the temperature difference belongs to a reference working condition.

[0027] The mapping relationship between the correction coefficient and the working condition of the arbitrary one of the preset particulate matter traps is established.

[0028] The mapping relationship between the correction coefficient and the working condition of the arbitrary one of the preset particulate matter traps is established.

[0029] In the above embodiment, since the temperature difference between the particulate matter trap and the particulate matter trap will affect the concentration of the particulate matter discharged from the particulate matter trap, the correction coefficient corresponding to the temperature difference between the arbitrary one of the preset particulate matter traps and the particulate matter sensor is obtained by calculating the ratio of the actual time corresponding to the temperature difference between the arbitrary one of the preset particulate matter traps and the particulate matter sensor to the second reference time.

[0030] In a possible implementation, the working condition of the particulate matter trap includes a particulate matter flow rate passing through the particulate matter trap and a temperature difference between the particulate matter trap and the particulate matter sensor.

[0031] The correction coefficient is determined based on the actual time and the reference time, including:

[0032] The first ratio of the actual time corresponding to the arbitrary one of the preset particulate matter flow rates passing through the particulate matter trap to the first reference time and the ratio of the actual time corresponding to the temperature difference between the arbitrary one of the preset particulate matter traps and the particulate matter sensor to the second reference time are calculated respectively.

[0033] The product of the first ratio and the second ratio is taken as the correction coefficient.

[0034] The first reference time is a time when the current value of the particulate matter sensor reaches a preset current value corresponding to a preset particulate matter flow rate passing through the particulate matter trap, and the second reference time is a time when the current value of the particulate matter sensor reaches a preset current value corresponding to a preset temperature difference between the particulate matter trap and the particulate matter sensor, and the preset particulate matter flow rate passing through the particulate matter trap and the preset temperature difference between the particulate matter trap and the particulate matter sensor belong to a reference working condition.

[0035] The mapping relationship between the correction coefficient and the working condition of the arbitrary one of the preset particulate matter traps is established.

[0036] A mapping relationship is established between the correction coefficient, the any one preset particle flow rate passing through the particle trap, and the any one preset temperature difference between the particle trap and the particle sensor.

[0037] In the above embodiment, the operating condition of the particulate matter trap may include both the particle flow rate through the particulate matter trap and the temperature difference between the particulate matter trap and the particulate matter sensor. At this time, the correction coefficient corresponding to any particle flow rate through the particulate matter trap and the correction coefficient corresponding to the temperature difference between the particulate matter trap and the particulate matter sensor are multiplied respectively to obtain the correction coefficient corresponding to the operating condition of the particulate matter trap, which comprehensively considers the influence of the particle flow rate through the particulate matter trap and the temperature difference between the particulate matter trap and the particulate matter sensor on the particle concentration in the particulate matter trap.

[0038] In a possible implementation, updating the time to be corrected based on the determined correction coefficient to obtain the target time includes:

[0039] The correction coefficient corresponding to the current operating condition of the particulate matter trap is multiplied by the time to be corrected to obtain the target time.

[0040] In the above embodiment, by correcting the predicted coefficient to be corrected using the correction coefficient corresponding to the current operating condition of the particulate matter trap, the effect of the current operating condition of the particulate matter trap on the concentration of particulate matter discharged from the particulate matter trap can be reduced, thereby obtaining an accurate time for prompting the user that there is a fault in the particulate matter trap.

[0041] In one possible implementation, the cycle predicts, based on a concentration of particulate matter discharged from the particulate matter trap, a time to be corrected corresponding to the concentration of particulate matter for prompting a user that a particulate matter trap fault exists, including:

[0042] When the engine is in operation, the current value of the particulate matter sensor is periodically collected;

[0043] The current value collected periodically is converted to obtain the concentration of particulate matter discharged from the particulate matter collector in each period;

[0044] The product of the concentration of particulate matter discharged from the particulate matter trap in each cycle and the sensitivity coefficient of the particulate matter sensor is calculated, and the inverse of the product is taken to obtain the time to be corrected corresponding to the particulate matter concentration in each cycle for prompting a user that there is a fault in the particulate matter trap.

[0045] In the above embodiment, the current value of the particulate matter sensor is periodically collected to determine the particulate matter concentration of the particulate matter trap in each period, and the time to be corrected for prompting the user that the particulate matter trap has a fault is predicted in each period. Instead of determining whether the particulate matter sensor has a fault by using the current value of the particulate matter sensor.

[0046] In a second aspect, the embodiments of the present application provide a particulate matter trap fault diagnosis device, which comprises:

[0047] a prediction module configured to periodically predict, according to the particulate matter concentration discharged from the particulate matter trap, a time to be corrected corresponding to the particulate matter concentration for prompting the user that the particulate matter trap has a fault;

[0048] an updating module configured to determine, according to a preset mapping relationship between the working conditions of the particulate matter trap and the correction coefficients, a correction coefficient corresponding to the current working condition of the particulate matter trap each time the time to be corrected is predicted, and update the time to be corrected based on the determined correction coefficient to obtain a target time, wherein the current working condition of the particulate matter trap comprises the particulate matter flow rate currently passing through the particulate matter trap and / or the temperature difference between the particulate matter trap and the particulate matter sensor;

[0049] a prompting module configured to prompt the user that the particulate matter trap has a fault if the target time obtained through the latest update arrives.

[0050] In a third aspect, the embodiments of the present application provide a particulate matter trap fault diagnosis equipment, which comprises:

[0051] at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method of the first aspect.

[0052] In a fourth aspect, the embodiments of the present application provide a computer storage medium storing a computer program, and the computer program is used to enable a computer to execute the method of the first aspect. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1 a schematic diagram of a whole vehicle aftertreatment system according to an example of the embodiments of the present application;

[0054] Figure 2 a flowchart of a particulate matter trap fault diagnosis method according to an example of the embodiments of the present application;

[0055] Figure 3A schematic diagram of a characteristic curve of the collection efficiency of a particulate matter collector according to an exemplary embodiment of the present invention;

[0056] Figure 4 A schematic diagram of a first target time determination method according to an exemplary embodiment of the present invention;

[0057] Figure 5 A schematic diagram of a second target time determination method according to an exemplary embodiment of the present invention;

[0058] Figure 6 A third target time determination schematic diagram according to an exemplary embodiment of the present invention;

[0059] Figure 7 A schematic diagram of a particulate matter trap fault diagnosis device according to an exemplary embodiment of the present invention;

[0060] Figure 8 Schematic diagram of a particulate matter trap fault diagnosis device according to an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0061] The following is a clear and detailed description of the technical solutions in the embodiments of the present application, with reference to the accompanying drawings. Obviously, the described embodiments are only a portion of the embodiments of the present invention, not all of them. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort are also within the scope of protection of the present invention.

[0062] In the existing vehicle after-treatment system, the particulate matter sensor is installed after the particulate matter trap to determine whether there is a fault in the particulate matter trap. The structure of the after-treatment system is as follows: Figure 1 As shown:

[0063] The vehicle after-treatment system includes: a catalytic converter, which is installed in the exhaust system of a diesel vehicle and can reduce the amount of pollutants in the exhaust through various physical and chemical effects.

[0064] Particle collector: A particle filter installed in the engine exhaust system with a porous carrier medium as the filter element. When the exhaust gas flows through the porous wall, the particles are captured in the porous wall or deposited on the wall.

[0065] Selective catalytic reduction system: installed in the exhaust system of diesel vehicles, used to reduce nitrogen monoxide (NO) and nitrogen dioxide (NO2) into nitrogen (N2) at 290-400°C using the reducing agent ammonia (NH3).

[0066] Active stability control system: can accurately control the vehicle movement according to the driver's intention, road conditions and vehicle driving conditions, can prevent dangerous conditions from occurring, thereby more effectively improving the handling stability and driving safety of the vehicle;

[0067] Particulate matter sensor: located behind the active stability control system, when the exhaust gas of the engine passes through the particulate matter sensor, the particulate matter such as soot in the exhaust gas will be adsorbed on the electrodes on the surface of the sensor. As the adsorbed particulate matter increases, an electric current will be generated between the two electrodes. When the electric current reaches the diagnostic limit, the user will be prompted that the particulate filter has failed.

[0068] In view of the problem in the prior art that the working condition of the particulate filter affects the concentration of the particulate matter discharged from the particulate filter, thereby the time when the current value of the particulate matter sensor reaches the diagnostic limit is inaccurate, the embodiments of the present application provide a particulate filter fault diagnosis method, as shown in Figure 2 The method comprises the following steps:

[0069] S201: periodically predict a to-be-corrected time for prompting the user that the particulate filter has a fault according to the concentration of the particulate matter discharged from the particulate filter.

[0070] The concentration of the particulate matter discharged from the particulate filter can be measured by the particulate matter sensor. The current of the particulate matter sensor will increase with the total amount of the particulate matter deposited between the two electrodes. That is, there is a quantitative relationship between the current value of the particulate matter sensor and the total amount of the particulate matter deposited between the two electrodes. Then, the total amount of the particulate matter is multiplied by time to obtain the concentration of the particulate matter.

[0071] For example, 2 seconds are set as 1 period, the total amount of the particulate matter deposited between the two electrodes of the particulate matter sensor is 0.01 g after 2 seconds, and the total amount of the particulate matter deposited between the two electrodes of the particulate matter sensor is 0.03 g after 4 seconds. Therefore, the concentration of the particulate matter in the first period is 0.01 g / 2 s=0.005 g / s; and the concentration of the particulate matter in the second period is (0.03 g-0.01 g) / 2 s=0.01 g / s.

[0072] In addition to the above method of determining the concentration of the particulate matter discharged from the particulate filter by the particulate matter sensor, the capture efficiency of the particulate filter can also be obtained periodically based on the capture efficiency characteristic curve of the particulate filter, and the concentration of the particulate matter discharged from the particulate filter can be determined according to the capture efficiency periodically, wherein the capture efficiency characteristic curve of the particulate filter is arranged in the vehicle, and the capture efficiency and the concentration of the particulate matter corresponding to the capture efficiency can be directly read.

[0073] As shown in Figure 3As shown, the particulate matter concentration discharged from the particulate filter is negatively correlated with the particulate filter trapping efficiency. For example, taking 2 seconds as a cycle, when the particulate filter trapping efficiency collected at 2 seconds is 50%, the corresponding particulate matter concentration discharged from the particulate filter is 1.3 mg / s, and when the particulate filter trapping efficiency collected at 4 seconds is 64%, the corresponding particulate matter concentration discharged from the particulate filter is 1.26 mg / s.

[0074] After determining the particulate matter concentration discharged from the particulate filter in each cycle, the product of the particulate matter concentration discharged from the particulate filter in each cycle and the sensitivity coefficient of the particulate sensor is calculated, and the reciprocal of the product is taken to obtain the time to be corrected corresponding to the particulate matter concentration in each cycle for prompting the user that the particulate filter has a fault. The time to be corrected in each cycle is predicted according to the particulate matter concentration discharged from the particulate filter.

[0075] In the embodiment of the present application, the time to be corrected for prompting the user that the particulate filter has a fault is predicted by using the particulate matter concentration discharged from the particulate filter and the sensitivity coefficient of the particulate sensor installed after the active stability control system, and other methods can also be used for prediction, which is not limited here.

[0076] For example, taking 2 seconds as a cycle, the particulate matter concentration discharged from the particulate filter at 2 seconds is 0.0013 g / s, and the sensitivity coefficient of the particulate sensor installed after the particulate filter is c, then the time to be corrected for prompting the user that the particulate filter has a fault is 1 / (0.0013 g / s*c).

[0077] S202: After predicting the time to be corrected once, according to the mapping relationship between the working condition of the particulate filter and the correction coefficient, the correction coefficient corresponding to the current working condition of the particulate filter is determined, and the time to be corrected is updated based on the determined correction coefficient to obtain a target time.

[0078] In the prior art, whether the particulate matter sensor is faulty is determined by whether the current value of the particulate matter sensor reaches a diagnostic limit value. The current value of the particulate matter sensor is related to the speed at which particulate matter deposited between the two electrodes of the particulate matter sensor. The greater the concentration of particulate matter discharged from the particulate matter trap, the faster the deposition speed, and the faster the current value rises. Conversely, the slower the current value rises. The concentration of particulate matter discharged from the particulate matter trap can be affected by the flow rate of particulate matter passing through the particulate matter trap and the temperature difference between the particulate matter trap and the particulate matter sensor. For example, when the flow rate of particulate matter passing through the particulate matter trap is too large, the concentration of particulate matter discharged from the particulate matter trap will be greater than when the flow rate of particulate matter is 0. For another example, due to the existence of thermophoresis (the effect of temperature gradient on particles, which causes particulate matter to move from a high-temperature zone to a low-temperature zone), when the temperature of the particulate matter trap is greater than the temperature of the particulate matter sensor, the particulate matter in the particulate matter trap will be affected by a thermal flow force towards the particulate matter sensor. The particulate matter will be quickly discharged from the particulate matter trap under the action of the thermal flow force. At this time, the concentration of particulate matter discharged from the particulate matter trap can be greater than when the temperature difference is 0. If the temperature of the particulate matter trap is less than the temperature of the particulate matter sensor, the particulate matter in the particulate matter trap will be affected by a thermal flow force in the opposite direction to the particulate matter sensor. The concentration of particulate matter discharged from the particulate matter trap can be less than when the temperature difference is 0.

[0079] In addition, if the temperature of the particulate matter trap is much greater than the temperature of the particulate matter sensor, the particulate matter will be burned in the particulate matter trap. At this time, the concentration of particulate matter discharged from the particulate matter trap can be less than when the temperature difference is 0. The effect of the thermal flow force can be ignored. Based on the above, when the prior art diagnoses the fault of the particulate matter trap through the particulate matter sensor, there can be deviations.

[0080] In the embodiments of the present application, the current working condition of the particulate matter trap includes the current flow rate of particulate matter passing through the particulate matter trap and / or the current temperature difference between the particulate matter trap and the particulate matter sensor. The mapping relationship between the pre-set working condition of the particulate matter trap and the correction coefficient can be obtained through experiments, i.e. pre-set multiple working conditions of the particulate matter trap, and measure the actual time at which the current value of the particulate matter sensor reaches the pre-set current value under each working condition. The specific implementation includes the following three.

[0081] (1) The working condition of the particulate matter trap includes the flow rate of particulate matter passing through the particulate matter trap.

[0082] For any one preset particle flow rate through the particle trap, based on the particle concentration corresponding to the any one particle flow rate through the particle trap, the actual time when the current value of the particle sensor corresponding to the any one particle flow rate through the particle trap reaches the preset current value is determined.

[0083] The particle concentration is the concentration of the particles discharged from the particle trap at the any one particle flow rate through the particle trap, which can be measured by the particle sensor.

[0084] The ratio of the actual time corresponding to the any one preset particle flow rate through the particle trap to the first reference time is taken as a correction coefficient, and a mapping relationship between the correction coefficient and the any one particle flow rate through the particle trap is established.

[0085] The first reference time is the time when the current value of the particle sensor corresponding to the preset reference particle flow rate through the particle trap reaches the preset current value, and the particle concentration discharged from the particle trap at the reference particle flow rate is within a preset reference concentration range, that is, when the particle flow rate through the particle trap is the reference particle flow rate, the particle concentration discharged from the particle trap is not affected. For example, the reference particle flow rate is set to 0, and it is considered that when the particle flow rate through the particle trap is the reference particle flow rate, the particle concentration discharged from the particle trap is not affected, that is, the time when the user is prompted that the particle trap has a fault is accurate and does not need to be corrected.

[0086] For example, the particle flow rate is set to 0 m 3 / h, 200 m 3 / h, 400 m 3 / h and 600 m 3 / h, at this time, the temperature difference between the particle trap and the particle sensor can be set to 0, that is, the influence of the temperature difference on the experimental results can be ignored. 0 m 3 / h is taken as the reference particle flow rate, and other values can also be taken as the reference particle flow rate, which is not limited here, as long as the particle concentration discharged from the particle trap is within the preset reference concentration range. Through comparative experiments (measuring the actual time when the current value of the particle sensor corresponding to different particle flow rates reaches the preset current value by the particle sensor), the reference time corresponding to 0 m 3 / h is t1, 200 m 3 / h, 400 m 3 / h and 600 m 3 / h corresponds to the actual time t2, t3, and t4 respectively, so 200m 3 / h、400m 3 / h and 600m 3 / h respectively correspond to the correction coefficients t2 / t1, t3 / t1, and t4 / t1.

[0087] Placing the particle sensor behind the particle trap not only measures the concentration of particles discharged from the trap, but also captures the actual time it takes for the current to reach the preset value. Therefore, during implementation, the particle trap current can be converted to a particle concentration to determine the relationship between the particle concentration and the actual time. This further clarifies the technical issue of how the particle flow rate through the trap affects the concentration of particles discharged from the trap, and thus the time it takes for the particle sensor current to reach the preset value, thus making the experimental process and results more reasonable. Alternatively, the particle sensor current can be directly obtained without converting it to a particle concentration. Both implementations yield correction coefficients.

[0088] Then, a mapping relationship between the correction coefficient and any one of the preset particle flow rates passing through the particle trap is established, as shown in Table 1.

[0089] Table 1

[0090] Operating conditions of the particulate trap Correction factor 200m 3 / h]] t2 / t1 400 m 3 / h]] t3 / t1 600m 3 / h]] t4 / t1

[0091] (2) The operating conditions of the particulate matter trap include the temperature difference between the particulate matter trap and the particulate matter sensor;

[0092] For any preset temperature difference between the particle trap and the particle sensor, based on the particle concentration corresponding to the temperature difference between the particle trap and the particle sensor, the actual time when the current value of the particle sensor corresponding to the temperature difference between the particle trap and the particle sensor reaches the preset current value is determined.

[0093] The particulate matter concentration is the concentration of particulate matter discharged from the particulate matter trap obtained under the temperature difference between any one of the particulate matter traps and the particulate matter sensor. The concentration of particulate matter discharged from the particulate matter trap can be measured by the particulate matter sensor.

[0094] A ratio of an actual time corresponding to a temperature difference between any one of the preset particulate matter traps and the particulate matter sensor to a second reference time is used as a correction coefficient, and a mapping relationship between the correction coefficient and the temperature difference between any one of the preset particulate matter traps and the particulate matter sensor is established.

[0095] The second reference time is a time when the current value of the particulate matter sensor corresponding to a preset temperature difference between the particulate matter trap and the particulate matter sensor reaches a preset current value, and the concentration of the particulate matter discharged from the particulate matter trap is within a preset reference concentration range at the reference temperature difference. That is, when the particulate matter flow rate through the particulate matter trap is the reference temperature difference, the concentration of the particulate matter discharged from the particulate matter trap is not affected. For example, when the reference temperature difference is set to 0, it is considered that the concentration of the particulate matter discharged from the particulate matter trap is not affected when the particulate matter flow rate through the particulate matter trap is the reference temperature difference, that is, the time when the user is prompted that the particulate matter trap has a fault is accurate and does not need to be corrected.

[0096] For example, the temperature difference is set to 0℃, 200℃, 300℃ and 400℃, and at this time, the particulate matter flow rate through the particulate matter trap is set to 0, that is, the influence of the particulate matter flow rate on the experimental results can be ignored. 0℃ is used as the reference temperature difference, and other values can also be used as the reference temperature difference, which is not limited here, as long as the concentration of the particulate matter discharged from the particulate matter trap is within the preset reference concentration range. Through comparative experiments (measuring the actual time when the current value of the particulate matter sensor corresponding to different temperature differences reaches a preset current value by using the particulate matter sensor), the reference time corresponding to 0℃ is ta, and the actual times corresponding to 200℃, 300℃ and 400℃ are tb, tc and td respectively, and the correction coefficients corresponding to 200℃, 300℃ and 400℃ are tb / ta, tc / ta and td / ta respectively.

[0097] The particulate matter sensor is placed behind the particulate matter trap, so that the concentration of the particulate matter discharged from the particulate matter trap can be obtained, and the actual time when the current value reaches a preset current value can also be obtained. Therefore, in the implementation process, the current value of the particulate matter trap can be converted into the concentration of the particulate matter to obtain the corresponding relationship between the concentration of the particulate matter and the actual time, and it is further determined that the temperature difference between the particulate matter trap and the particulate matter sensor will affect the concentration of the particulate matter discharged from the particulate matter trap, and then affect the time when the current value of the particulate matter sensor reaches a preset current value, so that the experimental process and the experimental results are more reasonable. The current value of the particulate matter sensor can also not be converted into the concentration of the particulate matter, and the actual time can be directly obtained. Both the above two implementation modes can obtain accurate correction coefficients.

[0098] Then, a mapping relationship between the correction coefficient and the arbitrary one of the preset particulate matter flow rates through the particulate matter trap is established, as shown in Table 2.

[0099] Table 2

[0100] Operating conditions of the particulate trap Correction factor 200℃ tb / ta 300℃ tc / ta 400℃ td / ta

[0101] (3) The operating condition of the particulate trap includes the particulate flow rate passing through the particulate trap and the temperature difference between the particulate trap and the particulate sensor.

[0102] When the operating condition of the particulate trap includes both the particulate flow rate passing through the particulate trap and the temperature difference between the particulate trap and the particulate sensor, the first ratio of the actual time corresponding to any one of the preset particulate flow rates passing through the particulate trap to the first reference time and the second ratio of the actual time corresponding to any one of the preset temperature differences between the particulate trap and the particulate sensor to the second reference time can be determined according to the embodiments in (1) and (2) above, respectively. Then, the product of the first ratio and the second ratio is taken as the correction coefficient, and a mapping relationship among the correction coefficient, the any one of the preset particulate flow rates passing through the particulate trap, and the any one of the preset temperature differences between the particulate trap and the particulate sensor is established, as shown in Table 3.

[0103] Table 3

[0104] Operating conditions of the particulate trap Correction factor 200 m 3 / h, 200 °C (t2 / t1)*(tb / ta) 400 m 3 / h, 300 °C (t3 / t1)*(tc / ta) 600m 3 / h, 400 °C (t4 / t1)*(td / ta)

[0105] In a possible embodiment, the correction coefficient corresponding to the current operating condition of the particulate trap is multiplied by the time to be corrected to obtain the target time, and the specific implementation includes the following three kinds.

[0106] (1) The current operating condition of the particulate trap only includes the current particulate flow rate passing through the particulate trap.

[0107] If the current temperature difference between the particulate trap and the particulate sensor is the reference temperature difference, or the temperature of the particulate trap is not acquired at present, or the temperature of the particulate sensor is not acquired, only the current particulate flow rate passing through the particulate trap is used to determine the correction coefficient, according to Table 1, if the current particulate flow rate passing through the particulate trap is 400 m / s, the corresponding correction coefficient is t3 / t1; then the time to be corrected t is multiplied by the correction coefficient based on the particulate flow rate to obtain the target time (t*t3) / t1. 3 Figure 4

[0108] (2) The current operating condition of the particulate trap only includes the current temperature difference between the particulate trap and the particulate sensor.

[0109] If the current particulate flow rate passing through the particulate trap is the reference particulate flow rate, or the particulate flow rate passing through the particulate trap is not acquired at present, only the current temperature difference between the particulate trap and the particulate sensor is used to determine the correction coefficient. As shown in Table 2, if the current temperature difference between the particulate trap and the particulate sensor is 100°C, the corresponding correction coefficient is t3 / t2; then the time to be corrected t is multiplied by the correction coefficient based on the temperature difference to obtain the target time (t*t3) / t2. Figure 5 ​​As shown, first, the temperature of the PM trap is subtracted from the temperature of the PM sensor to obtain the temperature difference. According to Table 2, if the current temperature difference between the PM trap and the PM sensor is 200°C, the correction factor is tb / ta. Then, the time to be corrected, t, is multiplied by the correction factor based on the particle flow rate to obtain the target time, which is (t*tb) / ta.

[0110] (3) The current operating condition of the particulate matter collector includes both the current particle flow rate passing through the particulate matter collector and the current temperature difference between the particulate matter collector and the particulate matter sensor.

[0111] like Figure 6 As shown, first, the current temperature of the particle trap is subtracted from the current temperature of the particle sensor to obtain the temperature difference, and then a first correction coefficient based on the particle flow rate and a second correction coefficient based on the temperature difference are determined respectively. Then, the first correction coefficient and the second correction coefficient are multiplied to obtain the correction coefficient of the current working condition of the particle trap. The specific implementation method is as described above and will not be repeated here. For example, according to Table 3, if the current particle flow rate through the particle trap is 600m 3 / h, the current temperature difference between the particulate matter trap and the particulate matter sensor is 400℃, then the correction coefficient is (t4 / t1)*(td / ta); finally, the product of the time to be corrected t and the correction coefficient is calculated to obtain the target time t*(t4 / t1)*(td / ta).

[0112] In the above embodiment, the time to be corrected can be a period of time or a specific time point. When the time to be corrected is a period of time (such as 10 minutes), the target time obtained through the above implementation method can be longer than the time to be corrected, such as 12 minutes, or longer than the time period to be corrected, such as 8 minutes.

[0113] When the time to be corrected is a specific time point (such as 9:00), the target time obtained through the above implementation method can be before the time to be corrected, such as 8:58, or after the time to be corrected, such as 9:02.

[0114] S203: If the target time obtained by the latest update arrives, the user is prompted that the particulate matter trap has a fault.

[0115] In a possible implementation, in order to ensure driving safety, prompting a user that the particulate matter trap has a fault includes:

[0116] When the car is in parking state, the indicator light on the instrument panel indicating that there is a fault in the particulate matter filter can be turned on;

[0117] When the car is in motion, the driver can be warned through the loudspeaker.

[0118] In the prior art, a PM2.5 sensor installed after the active stability control system (ASCS) determines whether a PM2.5 fault exists by checking whether its current reaches the diagnostic limit. This indicates a PM2.5 fault, triggering a user alert. However, depending on the PM2.5 sensor's operating conditions, the PM2.5 sensor's current may increase too quickly or too slowly, resulting in the PM2.5 sensor's current failing to reach the diagnostic limit when it should, or reaching the limit when it should not, leading to false alarms or inability to promptly report an error. The present embodiment, however, uses a correction factor corresponding to the PM2.5 sensor's operating conditions to correct the predicted time to correction, thereby eliminating the influence of the PM2.5 sensor's operating conditions on the timing of the PM2.5 fault notification to the user. In addition, because the operating conditions of the particulate matter trap and the concentration of particulate matter discharged from the particulate matter trap change in real time, the embodiments of the present application also predict the time to be corrected, obtain the correction coefficient in real time, and correct the time to be corrected in real time. In other words, the target time obtained in each cycle is different, and the target time of the current cycle may be earlier or later than the target time of the previous cycle. If the particulate matter trap is not faulty, after eliminating the influence of the particulate matter trap operating conditions, the target time updated each time will not be reached. If the particulate matter trap is faulty, after eliminating the influence of the particulate matter trap operating conditions, the target time obtained in a certain cycle update will be reached. Compared with fault diagnosis methods based on particulate matter sensors, the accuracy of particulate matter trap fault diagnosis is improved.

[0119] With a 2-second cycle, the first cycle starts at 9:00, resulting in a target time of 9:02, indicating that the particulate filter will be notified to the user after 2 minutes of a fault. The second cycle starts at 9:00:02, resulting in a target time of 9:04, indicating that the particulate filter will be notified to the user after 3 minutes and 58 seconds of a fault. The third cycle starts at 9:00:04, resulting in a target time of 9:00:04, at which point the user will be notified of a fault. If the target time is within the current cycle, it is considered to have reached the most recently updated target time. For example, with a 2-second cycle, the current cycle starts at 9:00:04, resulting in a target time of 9:00:05. Since the next cycle starts at 9:00:06, 9:00:05 has not yet arrived. The time to be corrected, the correction factor, and the target time will not be updated. Therefore, when 9:00:05 is reached, the user will be notified of a fault. The embodiment of the present application uses 2 seconds as a cycle, and can also be set to other time intervals, which are not specifically limited here.

[0120] The embodiments of the present application do not use the time when the current value of the particulate matter sensor reaches the diagnostic limit value as the standard for prompting the user that the particulate matter trap has a fault, but use the particulate matter flow rate through the particulate matter trap and the temperature difference between the particulate matter trap and the particulate matter sensor to correct the time for prompting the user that the particulate matter trap has a fault in real time according to the particulate matter concentration discharged from the particulate matter trap, thereby ensuring the accuracy of the fault diagnosis of the particulate matter trap.

[0121] Based on the same inventive concept, the embodiments of the present application also provide a particulate matter trap fault diagnosis device, as shown in the accompanying drawings, which comprises: Figure 7

[0122] A prediction module 701 is configured to periodically predict a to-be-corrected time for prompting the user that the particulate matter trap has a fault according to the particulate matter concentration discharged from the particulate matter trap.

[0123] An updating module 702 is configured to determine a correction coefficient corresponding to the current working condition of the particulate matter trap according to a preset mapping relationship between the working condition of the particulate matter trap and the correction coefficient each time the to-be-corrected time is predicted, and update the to-be-corrected time based on the determined correction coefficient to obtain a target time, wherein the current working condition of the particulate matter trap includes the current particulate matter flow rate through the particulate matter trap and / or the current temperature difference between the particulate matter trap and the particulate matter sensor.

[0124] A prompting module 703 is configured to prompt the user that the particulate matter trap has a fault if the target time obtained through the latest update reaches.

[0125] In a possible implementation, the device further comprises a relationship establishing module configured to establish the mapping relationship in the following manner:

[0126] For any one working condition of the particulate matter trap, the actual time when the current value of the particulate matter sensor reaches a preset current value is determined based on the particulate matter concentration corresponding to the any one working condition of the particulate matter trap, wherein the particulate matter concentration is the concentration of the particulate matter discharged from the particulate matter trap under the any one working condition of the particulate matter trap;

[0127] The correction coefficient is determined based on the actual time and a reference time, and a mapping relationship between the correction coefficient and the working condition of the any one particulate matter trap is established, wherein the reference time is the time when the current value of the particulate matter sensor reaches the preset current value under a preset reference working condition of the particulate matter trap, and the concentration of the particulate matter discharged from the particulate matter trap under the reference working condition is within a preset reference concentration range.

[0128] ​In a possible implementation, the working condition of the particulate filter includes a particulate flow rate passing through the particulate filter;

[0129] The relationship establishing module is configured to determine a correction coefficient based on the actual time and a reference time, including:

[0130] The ratio of the actual time corresponding to the particulate flow rate passing through the particulate filter in the any one preset condition to a first reference time is taken as the correction coefficient;

[0131] The first reference time is a time when the current value of the particulate sensor corresponding to a reference particulate flow rate passing through the particulate filter reaches a preset current value, and the reference particulate flow rate passing through the particulate filter belongs to a reference working condition;

[0132] The relationship establishing module is configured to determine a correction coefficient based on the actual time and a reference time, including:

[0133] The relationship establishing module is configured to determine a correction coefficient based on the actual time and a reference time, including:

[0134] In a possible implementation, the working condition of the particulate filter includes a temperature difference between the particulate filter and the particulate sensor;

[0135] The relationship establishing module is configured to determine a correction coefficient based on the actual time and a reference time, including:

[0136] The ratio of the actual time corresponding to the temperature difference between the particulate filter and the particulate sensor in the any one preset condition to a second reference time is taken as the correction coefficient;

[0137] The second reference time is a time when the current value of the particulate sensor corresponding to a reference temperature difference between the particulate filter and the particulate sensor reaches a preset current value, and the reference temperature difference belongs to a reference working condition;

[0138] The relationship establishing module is configured to determine a correction coefficient based on the actual time and a reference time, including:

[0139] The relationship establishing module is configured to determine a correction coefficient based on the actual time and a reference time, including:

[0140] In a possible implementation, the working condition of the particulate filter includes a particulate flow rate passing through the particulate filter and a temperature difference between the particulate filter and the particulate sensor;

[0141] The relationship establishing module is configured to determine a correction coefficient based on the actual time and the reference time, including:

[0142] respectively calculating a first ratio of the actual time corresponding to the preset particulate matter flow rate passing through the particulate filter to a first reference time, and a ratio of the actual time corresponding to the preset temperature difference between the particulate filter and the particulate sensor to a second reference time;

[0143] multiplying the first ratio and the second ratio to obtain the correction coefficient;

[0144] The first reference time is a time when the current value of the particulate sensor corresponding to the preset reference particulate flow rate passing through the particulate filter reaches a preset current value, and the second reference time is a time when the current value of the particulate sensor corresponding to the preset reference temperature difference between the particulate filter and the particulate sensor reaches a preset current value, and the reference particulate flow rate passing through the particulate filter and the reference temperature difference between the particulate filter and the particulate sensor belong to a reference working condition.

[0145] The relationship establishing module is configured to determine a correction coefficient based on the actual time and the reference time, including:

[0146] The relationship establishing module is configured to determine a correction coefficient based on the actual time and the reference time, including:

[0147] In a possible implementation, the updating module 702 updates the to-be-corrected time based on the determined correction coefficient to obtain a target time, including:

[0148] The relationship establishing module is configured to determine a correction coefficient based on the actual time and the reference time, including:

[0149] In a possible implementation, the prediction module 701 is configured to periodically predict the to-be-corrected time for prompting the user that the particulate filter has a fault based on the particulate concentration discharged from the particulate filter, including:

[0150] When the engine is in a running state, periodically acquire the current value of the particulate sensor;

[0151] Convert the periodically acquired current value to obtain the particulate concentration discharged from the particulate filter in each period;

[0152] The product of the particulate matter concentration discharged from the particulate filter in each cycle and the particulate sensor sensitivity coefficient is calculated, and the reciprocal of the product is obtained, to obtain the particulate matter concentration corresponding to the time to be corrected for prompting the user that the particulate filter has a fault in each cycle.

[0153] Based on the same inventive concept, the embodiments of the present application also provide a particulate filter fault diagnosis device, which comprises:

[0154] at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the particulate filter fault diagnosis method.

[0155] As shown in Figure 8 the device comprises a processor 801, a memory 802 and a communication interface 803; a bus 804. Wherein the processor 801, the memory 802 and the communication interface 803 are connected with each other through the bus 804.

[0156] The processor 801 is used to read the instructions in the memory 802 and execute, so as to enable the at least one processor to perform the particulate filter fault diagnosis method provided by the above-mentioned embodiments.

[0157] The memory 802 is used to store various instructions and programs of the particulate filter fault diagnosis method provided by the above-mentioned embodiments.

[0158] The communication interface 803 is used for data interaction between the transient smoke sensor and the electronic control unit.

[0159] The bus 804 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For the convenience of representation, Figure 8 only one thick line is used, but it does not mean that there is only one bus or only one type of bus.

[0160] The processor 801 may be a central processing unit (CPU), a network processor (NP), a graphics processing unit (GPU), or any combination of a CPU, NP, and GPU. It may also be a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0161] In addition, the present application also provides a computer-readable storage medium, wherein the computer storage medium stores a computer program, wherein the computer program is used to enable a computer to execute the method described in any one of the above embodiments.

[0162] These computer program instructions may 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, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device that implements the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0163] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0164] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0165] Obviously, many modifications and variations of the present application are possible in light of the above teachings. It is, therefore, to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A particulate trap failure diagnosis method characterized by comprising: The method comprises: periodically predicting a to-be-revised time for prompting a user that the particulate matter trap has a fault according to a particulate matter concentration discharged from the particulate matter trap, the to-be-revised time corresponding to the particulate matter concentration; each time the to-be-revised time is predicted, determining a correction coefficient corresponding to a current working condition of the particulate matter trap according to a preset mapping relationship between working conditions of the particulate matter trap and correction coefficients, and updating the to-be-revised time based on the determined correction coefficient to obtain a target time, wherein the current working condition of the particulate matter trap comprises a current particulate matter flow rate passing through the particulate matter trap and / or a current temperature difference between the particulate matter trap and the particulate matter sensor; if the target time obtained through the latest update arrives, prompting the user that the particulate matter trap has a fault; the mapping relationship is established by: for any one working condition of a particulate matter trap, determining an actual time at which a current value of a particulate matter sensor corresponding to the any one working condition of the particulate matter trap reaches a preset current value based on a particulate matter concentration corresponding to the any one working condition of the particulate matter trap, wherein the particulate matter concentration is a concentration of particulate matter discharged from the particulate matter trap under the any one working condition of the particulate matter trap; determining a correction coefficient based on the actual time and a reference time, and establishing a mapping relationship between the correction coefficient and the any one working condition of the particulate matter trap, wherein the reference time is a time at which the current value of the particulate matter sensor reaches the preset current value under a reference working condition of the particulate matter trap, and a particulate matter concentration discharged from the particulate matter trap under the reference working condition is within a preset reference concentration range.

2. The method of claim 1, wherein, the working condition of the particulate matter trap comprises a particulate matter flow rate passing through the particulate matter trap; determining the correction coefficient based on the actual time and the reference time comprises: taking a ratio of the actual time corresponding to the any one preset particulate matter flow rate passing through the particulate matter trap to a first reference time as the correction coefficient; wherein the first reference time is a time at which the current value of the particulate matter sensor reaches the preset current value corresponding to a reference particulate matter flow rate passing through the particulate matter trap, and the reference particulate matter flow rate passing through the particulate matter trap belongs to the reference working condition; the establishing the mapping relationship between the correction coefficient and the any one preset working condition of the particulate matter trap comprises: establishing a mapping relationship between the correction coefficient and the any one preset particulate matter flow rate passing through the particulate matter trap.

3. The method of claim 1, wherein, the working condition of the particulate matter trap comprises a temperature difference between the particulate matter trap and the particulate matter sensor; determining the correction coefficient based on the actual time and the reference time comprises: taking a ratio of the actual time corresponding to the any one preset temperature difference between the particulate matter trap and the particulate matter sensor to a second reference time as the correction coefficient; wherein the second reference time is a time at which the current value of the particulate matter sensor reaches the preset current value corresponding to a reference temperature difference between the particulate matter trap and the particulate matter sensor, and the reference temperature difference belongs to the reference working condition; The establishing the mapping relationship between the correction coefficient and the working condition of the any one preset particulate matter trap comprises: The establishing the mapping relationship between the correction coefficient, the any one preset particulate matter flow rate through the particulate matter trap, and the temperature difference between the any one preset particulate matter trap and the particulate matter sensor.

4. The method of claim 1, wherein, The working condition of the particulate matter trap comprises a particulate matter flow rate through the particulate matter trap and a temperature difference between the particulate matter trap and the particulate matter sensor; The determining the correction coefficient based on the actual time and the reference time comprises: The calculating the first ratio of the actual time to the first reference time corresponding to the any one preset particulate matter flow rate through the particulate matter trap and the second ratio of the actual time to the second reference time corresponding to the temperature difference between the any one preset particulate matter trap and the particulate matter sensor respectively; The product of the first ratio and the second ratio is taken as the correction coefficient; The first reference time is a time when a current value of the particulate matter sensor corresponding to a preset reference particulate matter flow rate through the particulate matter trap reaches a preset current value, and the second reference time is a time when the current value of the particulate matter sensor corresponding to a preset reference temperature difference between the particulate matter trap and the particulate matter sensor reaches the preset current value, and the reference particulate matter flow rate through the particulate matter trap and the reference temperature difference between the particulate matter trap and the particulate matter sensor belong to a reference working condition; The establishing the mapping relationship between the correction coefficient and the working condition of the any one preset particulate matter trap comprises: The establishing the mapping relationship between the correction coefficient, the any one preset particulate matter flow rate through the particulate matter trap, and the temperature difference between the any one preset particulate matter trap and the particulate matter sensor.

5. The method according to claim 1, wherein The updating the time to be corrected based on the determined correction coefficient to obtain a target time comprises: The correction coefficient corresponding to the current working condition of the particulate matter trap is multiplied by the time to be corrected to obtain the target time.

6. The method according to any one of claims 1 to 5, characterized in that, The predicting the time to be corrected corresponding to the particulate matter concentration discharged from the particulate matter trap for prompting a user that the particulate matter trap has a fault comprises: The current value of the particulate matter sensor is periodically collected when the engine is in a running state; The current value collected periodically is converted to obtain the particulate matter concentration discharged from the particulate matter trap in each period; The product of the particulate matter concentration discharged from the particulate matter trap in each period and the sensitivity coefficient of the particulate matter sensor is calculated, and the reciprocal of the product is taken to obtain the time to be corrected corresponding to the particulate matter concentration in each period for prompting the user that the particulate matter trap has the fault.

7. A particulate trap failure diagnosis device characterized by comprising: The device comprises: The predicting module is configured to periodically predict the time to be corrected corresponding to the particulate matter concentration discharged from the particulate matter trap for prompting the user that the particulate matter trap has the fault. The updating module is configured to, each time a to-be-corrected time is predicted, determine a correction coefficient corresponding to a current working condition of the particulate filter according to a preset mapping relationship between working conditions of the particulate filter and correction coefficients, and update the to-be-corrected time based on the determined correction coefficient to obtain a target time, wherein the current working condition of the particulate filter includes a current particulate flow rate passing through the particulate filter and / or a current temperature difference between the particulate filter and the particulate sensor. The prompting module is configured to, if the target time obtained through the most recent update is reached, prompt a user that the particulate filter has a fault. The mapping relationship is established in the following manner: For any working condition of a particulate filter, an actual time at which a current value of a particulate sensor corresponding to the any working condition of the particulate filter reaches a preset current value is determined based on a particulate concentration corresponding to the any working condition of the particulate filter, wherein the particulate concentration is a concentration of particulates discharged from the particulate filter under the any working condition of the particulate filter. A correction coefficient is determined based on the actual time and a reference time, and a mapping relationship between the correction coefficient and the any working condition of the particulate filter is established, wherein the reference time is a time at which a current value of the particulate sensor corresponding to a reference working condition of the particulate filter reaches the preset current value, and a concentration of particulates discharged from the particulate filter under the reference working condition is within a preset reference concentration range.

8. A particulate trap failure diagnosis apparatus characterized by comprising: The device comprises: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.

9. A computer storage medium, characterized in that The computer storage medium stores a computer program, and the computer program is used to enable a computer to perform the method of any one of claims 1-6.

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