Whole vehicle end DPF passive regeneration performance evaluation method, device and equipment and storage medium

Abstract

The invention belongs to the technical field of post-processing, and particularly provides a vehicle end DPF passive regeneration performance evaluation method, device and equipment and a storage medium. The method comprises the following steps that original emission data of operation of different vehicles is collected; screening the original emission data to obtain effective data; dividing the effective data into a plurality of sub-data according to the vehicle number; wherein the data of each vehicle number is recorded as subdata; dividing the sub-data into a plurality of sub-data fragments according to the active regeneration state of the vehicle; calculating the increasing rate of the carbon load in each sub-data fragment of each vehicle along with the running time of the engine; calculating a passive regeneration evaluation coefficient according to the increase rate of the carbon loading capacity; and evaluating the passive regeneration performance in the set state according to the passive regeneration evaluation coefficient. By calculating the increasing rate of the carbon load in each sub-data fragment of each vehicle along with the running time of the engine and calculating a passive regeneration evaluation coefficient according to the increasing rate, quantitative evaluation of the passive regeneration performance is realized.

Description

Background Art

[0002] Diesel Particulate Filter (DPF) is an aftertreatment device installed in the exhaust system of a diesel engine to capture and store particulate pollutants in the engine exhaust. The current mainstream DPF is a wall-flow structure, which consists of a series of parallel elongated channels separated by walls made of porous materials. Usually, one end of these channels is open and the other end is alternately closed. The wall of each channel is porous. When the exhaust gas passes through these porous walls, most of the particulate matter will be captured in the wall, while the clean gas continues to flow and pass through the DPF. Over time, the accumulation of particulate matter in the DPF will cause an increase in exhaust back pressure, thereby affecting engine performance.

[0003] In order to maintain the efficiency of the DPF, it is necessary to eliminate the accumulated particulate matter through regeneration. Regeneration is usually divided into two categories: one is passive regeneration, which relies on the high temperature generated by normal driving and the nitrogen oxides in the engine exhaust to remove particulate matter; the other is active regeneration, which promotes the combustion of particulate matter in the DPF by injecting additional fuel or incompletely burned engine cylinder gas into the exhaust gas, and heating the exhaust gas through the reaction of the post-treatment oxidation catalyst. Active regeneration requires additional energy or fuel input, which will increase the fuel consumption during the use of the vehicle; high-frequency active regeneration will also accelerate the thermal aging process of the post-treatment device and shorten the service life of the equipment. Therefore, in the actual development process, it is more inclined to select products with strong DPF passive regeneration performance to improve the power and economy of the entire system. How to accurately and comprehensively evaluate the passive regeneration performance of the DPF during use has become the key to optimizing and improving the design and selection of DPF, saving fuel consumption, and increasing the life of the post-treatment system.

[0004] The industry usually tests the DPF carbon load at a steady-state point or a certain cycle condition on an engine bench to evaluate the DPF passive regeneration performance. However, on the one hand, bench test conditions cannot accurately simulate the transient conditions and corresponding environmental conditions of actual vehicle driving; on the other hand, the carbon load alone cannot accurately describe a passive regeneration process that changes over time. Summary of the invention

[0005] In view of the problems existing in the traditional method of evaluating the passive regeneration performance of DPF, the present invention provides a method, device, equipment and storage medium for evaluating the passive regeneration performance of DPF on a vehicle.

[0006] In a first aspect, the technical solution of the present invention provides a method for evaluating the passive regeneration performance of a vehicle-side DPF, comprising the following steps: Collect the original emission data of different vehicles; the original emission data includes vehicle number, cumulative engine running time, carbon load, and DPF active regeneration status parameters; Screen the original emission data to obtain valid data; According to the vehicle number, the valid data is divided into several sub-data; wherein the data of each vehicle number is recorded as one sub-data; Dividing the sub-data into a plurality of sub-data segments according to the active regeneration state of the vehicle; Calculate the rate of increase of carbon load with engine running time in each sub-data segment for each vehicle; The passive regeneration evaluation coefficient is calculated based on the rate of increase of carbon loading; The passive regeneration performance under the set state is evaluated based on the passive regeneration evaluation coefficient.

[0007] By collecting the original emission data of different vehicles, including vehicle number, cumulative engine running time, carbon load and DPF active regeneration status parameters, the comprehensiveness and accuracy of the basic evaluation data are ensured, which provides a solid foundation for subsequent analysis and evaluation.

[0008] As a preferred embodiment of the technical solution of the present invention, the original emission data also includes engine model, DPF configuration number, cumulative total mileage, DPF fault parameters, DPF temperature, and exhaust flow.

[0009] As a preferred embodiment of the technical solution of the present invention, the steps of screening the original emission data and obtaining valid data include: According to the DPF fault parameter judgment, the data with DPF fault is deleted; Select the data after deleting the DPF fault data, in which the DPF temperature is lower than the first preset temperature, the exhaust flow rate is lower than the first preset flow rate, and the carbon load is lower than the first preset carbon load, and delete the parameters of DPF failure, DPF differential pressure sensor failure, and DPF temperature sensor failure to obtain valid data.

[0010] As a preferred embodiment of the technical solution of the present invention, the step of dividing the sub-data into a plurality of sub-data segments according to the active regeneration state of the vehicle includes: The active regeneration start time and end time are determined according to the DPF active regeneration state parameters, and the valid data between each active regeneration start time and the last active regeneration end time is recorded as a sub-data segment.

[0011] The sub-data is further divided into several sub-data segments according to the active regeneration state of the vehicle, so that the evaluation can be carried out on the passive regeneration performance of the vehicle under different active regeneration states, which is more refined and in-depth.

[0012] As a preferred embodiment of the technical solution of the present invention, the step of dividing the sub-data into a plurality of sub-data segments according to the active regeneration state of the vehicle includes: A sub-data segment in which the number of groups of data contained in the sub-data segment is greater than a set threshold is selected as a valid sub-data segment.

[0013] As a preferred embodiment of the technical solution of the present invention, the step of calculating the rate of increase of the carbon load in each sub-data segment of each vehicle with the engine running time includes: Sort the valid sub-data segments in chronological order, record the average carbon load of the first percentage of data before the sub-data segment as the initial carbon load S1, record the midpoint of the first percentage of data before the sub-data segment as time t1, record the average carbon load of the first percentage of data after the sub-data segment as the end carbon load S2, and record the midpoint of the first percentage of data after the sub-data segment as time t2; Carbon loading increase rate v = (S2-S1) / (t2-t1).

[0014] As a preferred embodiment of the technical solution of the present invention, the step of evaluating the passive regeneration performance under a set state according to the passive regeneration evaluation coefficient includes: Selecting the passive regeneration evaluation coefficient of each sub-data segment with the same engine model, similar cumulative mileage or similar cumulative engine running time, grouping them according to the DPF configuration number, and calculating the average value of the passive regeneration evaluation coefficient of each group for comparing the passive regeneration performance of different DPF configurations; Selecting the passive regeneration evaluation coefficient of each sub-data segment with the same DPF configuration number, similar cumulative mileage or similar cumulative engine running time, grouping them according to engine model, and calculating the average value of the passive regeneration evaluation coefficient of each group for comparing the effects of different engine models on passive regeneration performance; The passive regeneration evaluation coefficient of each sub-data segment with the same engine model and DPF configuration number is selected, and the groups are grouped according to the cumulative mileage or the cumulative engine running time. The average value of the passive regeneration evaluation coefficient of each group is calculated to compare the impact of aging on the passive regeneration performance during vehicle use.

[0015] In a second aspect, the technical solution of the present invention provides a vehicle-end DPF passive regeneration performance evaluation device, including a data acquisition module, a data screening module, a sub-data division module, a data segment division module, an increase rate calculation module, an evaluation coefficient calculation module and a regeneration performance evaluation module; The data acquisition module is used to collect the original emission data of different vehicles; the original emission data includes vehicle number, cumulative engine running time, carbon load, and DPF active regeneration state parameters; Data screening module, used to screen the original emission data and obtain valid data; The sub-data division module is used to divide the valid data into a plurality of sub-data according to the vehicle number; wherein the data of each vehicle number is recorded as one sub-data; A data segment division module, used for dividing the sub-data into a plurality of sub-data segments according to the active regeneration state of the vehicle; An increase rate calculation module, used to calculate the increase rate of the carbon load in each sub-data segment of each vehicle as the engine running time increases; An evaluation coefficient calculation module, used to calculate the passive regeneration evaluation coefficient according to the increase rate of carbon loading; The regeneration performance evaluation module is used to evaluate the passive regeneration performance under a set state according to the passive regeneration evaluation coefficient.

[0016] As a preferred embodiment of the technical solution of the present invention, the original emission data also includes engine model, DPF configuration number, cumulative total mileage, DPF fault parameters, DPF temperature, and exhaust flow.

[0017] As a preferred embodiment of the technical solution of the present invention, a data screening module is used to delete data with DPF fault according to DPF fault parameter judgment; select data after deleting the DPF fault data, including data with DPF temperature lower than a first preset temperature, exhaust flow lower than a first preset flow and carbon load lower than a first preset carbon load, and delete parameters of DPF fault, DPF differential pressure sensor fault and DPF temperature sensor fault to obtain valid data.

[0018] As a preferred embodiment of the technical solution of the present invention, the data segment division module is specifically used to determine the start time and end time of active regeneration according to the DPF active regeneration state parameters, and the valid data between the start time of each active regeneration and the end time of the previous active regeneration is recorded as a sub-data segment.

[0019] As a preferred embodiment of the technical solution of the present invention, the device also includes a data segment screening module, which is used to select sub-data segments whose number of groups containing data is greater than a set threshold as valid sub-data segments.

[0020] As a preferred embodiment of the technical solution of the present invention, a rate calculation module is added, which is used to sort the valid sub-data segments in chronological order, record the average carbon load of the first percentage of data before the sub-data segment as the initial carbon load S1, and the midpoint of the first percentage of data as the time t1, record the average carbon load of the first percentage of data after the sub-data segment as the end carbon load S2, and the midpoint of the first percentage of data after the sub-data segment as the time t2; Carbon loading increase rate v = (S2-S1) / (t2-t1).

[0021] As a preferred embodiment of the technical solution of the present invention, a regeneration performance evaluation module is used to select the passive regeneration evaluation coefficient of each sub-data segment with the same engine model, similar cumulative mileage or similar cumulative engine running time, group them according to the DPF configuration number, and calculate the average value of the passive regeneration evaluation coefficient of each group, which is used to compare the passive regeneration performance of different DPF configurations; select the passive regeneration evaluation coefficient of each sub-data segment with the same DPF configuration number, similar cumulative mileage or similar cumulative engine running time, group them according to the engine model, and calculate the average value of the passive regeneration evaluation coefficient of each group, which is used to compare the influence of different engine models on the passive regeneration performance; select the passive regeneration evaluation coefficient of each sub-data segment with the same engine model and DPF configuration number, group them according to the cumulative mileage or cumulative engine running time, and calculate the average value of the passive regeneration evaluation coefficient of each group, which is used to compare the influence of aging during vehicle use on the passive regeneration performance.

[0022] In a third aspect, the technical solution of the present invention provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; the memory stores computer program instructions executable by the at least one processor, and the computer program instructions are executed by the at least one processor so that the at least one processor can execute the vehicle-end DPF passive regeneration performance evaluation method as described in the first aspect.

[0023] In a fourth aspect, the technical solution of the present invention further provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions enable the computer to execute the vehicle-end DPF passive regeneration performance evaluation method as described in the first aspect.

[0024] It can be seen from the above technical solutions that the present invention has the following advantages: the original emission data is screened to obtain valid data, the influence of invalid or abnormal data on the evaluation results is effectively eliminated, and the accuracy and reliability of the evaluation are improved. The valid data is divided into several sub-data according to the vehicle number, and the data of each vehicle number is recorded as a sub-data, so as to realize the personalized evaluation of each vehicle. This subdivided evaluation method can more accurately reflect the actual passive regeneration performance of each vehicle. By calculating the rate of increase of carbon load in each sub-data segment of each vehicle with the engine running time, and calculating the passive regeneration evaluation coefficient based on this, a quantitative evaluation of the passive regeneration performance is realized. This quantitative evaluation method makes the evaluation results more objective, specific, easy to understand and compare.

[0025] Evaluating the passive regeneration performance under set conditions according to the passive regeneration evaluation coefficient can provide clear guidance and suggestions for vehicle manufacturers and operators, helping them understand the passive regeneration performance of the vehicle in actual operation, and then optimize vehicle design and operation strategies, and improve the vehicle's environmental performance and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0027] Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention.

[0028] Figure 2 Graph 1 is a diagram showing the first sub-data segment of vehicle data A.

[0029] Figure 3 is a schematic flow chart of a method according to another embodiment of the present invention.

[0030] Figure 4 is a schematic block diagram of an apparatus according to an embodiment of the present invention. DETAILED DESCRIPTION

[0031] During the long-term use of DPF, the continuous accumulation of particulate matter will lead to a decrease in its capture efficiency, and may even cause clogging problems, affecting the normal operation and emission performance of the engine. In order to solve this problem, DPF regeneration technology came into being. Regeneration technology is mainly divided into two types: active regeneration and passive regeneration. Active regeneration is to increase the temperature inside the DPF by external heating or injecting fuel, so that the accumulated particulate matter burns and converts into harmless substances. Passive regeneration, on the other hand, uses oxygen and high temperature conditions in the engine exhaust to make the particulate matter burn itself inside the DPF. During the passive regeneration process, the change in carbon load is one of the key indicators for evaluating its performance. Carbon load refers to the mass of particulate matter accumulated inside the DPF, and its rate of change reflects the efficiency and ability of passive regeneration. Therefore, how to accurately evaluate the passive regeneration performance of DPF is of great significance to ensure the emission performance and environmental performance of diesel engine vehicles.

[0032] However, most of the existing evaluation methods rely on test data under laboratory conditions, which makes it difficult to truly reflect the passive regeneration performance of the vehicle during actual operation. In addition, due to differences in different vehicles, different engine models and different operating conditions, the evaluation of passive regeneration performance is more complicated and difficult. Therefore, it is necessary to develop an evaluation method that can truly reflect the passive regeneration performance of the vehicle during actual operation, so as to guide vehicle manufacturers and operators to optimize vehicle design and operation strategies and improve the environmental performance and economic benefits of diesel engine vehicles. The technical solution of the present invention is proposed based on this demand, and aims to provide a vehicle-end DPF passive regeneration performance evaluation method to solve the problems and shortcomings of existing evaluation methods.

[0033] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0034] like Figure 1 As shown, an embodiment of the present invention provides a method for evaluating the passive regeneration performance of a vehicle-side DPF, comprising the following steps: Step 1: Collect raw emission data of different vehicles; The original emission data includes: vehicle number (such as license plate number), engine model, DPF configuration number, cumulative engine running time, cumulative total mileage, carbon load, DPF active regeneration status parameters, DPF fault parameters, DPF temperature, exhaust flow, which are collected and exported by the vehicle emission parameter data collection system; It should be noted that data collection can also use professional emission data collection equipment, such as on-board diagnostic systems (OBD) or special emission monitoring instruments, connected to the emission system of diesel engine vehicles. Start the vehicle and operate it according to the predetermined driving conditions (such as urban roads, highways, mountain roads, etc.), while recording emission data. The collected data should include vehicle number (used to distinguish data sets from different vehicles), cumulative engine running time (recording the total running time of the engine from start to the current moment), carbon load (reflecting the mass of particulate matter accumulated inside the DPF), and DPF active regeneration state parameters (indicating whether the DPF is undergoing an active regeneration process). Comprehensive and accurate vehicle emission data are obtained, providing a reliable basis for subsequent analysis and evaluation.

[0035] Step 2: Screen the original emission data to obtain valid data; Conduct a preliminary check on the collected raw data and remove obviously abnormal or invalid data points, such as missing data, values ​​outside a reasonable range, etc. Further screen the data according to the data quality assessment criteria to ensure the accuracy and consistency of the data. Keep the data that meets the screening criteria as valid data for subsequent analysis and evaluation. This improves the accuracy and reliability of the data and reduces the impact of invalid data on the evaluation results.

[0036] Step 3: Divide the valid data into several sub-data according to the vehicle number; wherein the data of each vehicle number is recorded as a sub-data; for example, the data of the first vehicle is recorded as A, the data of the second vehicle is recorded as B, the data of the third vehicle is recorded as C, and so on; The valid data is classified and divided into different subsets according to the vehicle number. Each vehicle number corresponds to a sub-data set, which contains all the valid emission data of the vehicle. The personalized processing of data is realized, which facilitates the subsequent analysis of each vehicle.

[0037] Step 4: Divide the sub-data into a number of sub-data segments according to the active regeneration state of the vehicle; The sub-data set of each vehicle number is further divided into different sub-data segments according to the DPF active regeneration state parameters. Each sub-data segment corresponds to a specific active regeneration state, such as before active regeneration, during active regeneration, after active regeneration, etc. This makes the data more refined and can analyze the passive regeneration performance of the vehicle under different active regeneration states.

[0038] Step 5: Calculate the increasing rate of carbon load in each sub-data segment of each vehicle with engine running time; The data in each sub-data segment is processed to calculate the rate of increase of carbon load with engine running time. Other mathematical models (such as Gauss model, Logistic model, etc.) can be selected for fitting, or a more appropriate mathematical model can be selected using machine learning methods to calculate the rate of increase to reflect the trend of carbon load change over time.

[0039] Step 6: Calculate the passive regeneration evaluation coefficient according to the increasing rate of carbon loading; The evaluation coefficient may be a dimensionless value used to reflect the passive regeneration performance of the vehicle under different conditions. In the embodiment of the present invention, the passive regeneration evaluation coefficient is defined as the inverse of the carbon load increase rate. The larger the coefficient, the better the passive regeneration performance.

[0040] Any other simple mathematical transformations including the reciprocal are included, such as 100 / carbon loading increase rate, 1 / carbon loading increase rate + 1, etc. In addition, other suitable mathematical models may be selected as substitutes.

[0041] Step 7: Evaluate the passive regeneration performance under the set state according to the passive regeneration evaluation coefficient.

[0042] In some embodiments, the steps of screening the raw emission data to obtain valid data include: Step 21: Deleting data with DPF fault according to DPF fault parameter judgment; Step 22: Select the data after deleting the DPF fault data, in which the DPF temperature is lower than the first preset temperature, the exhaust flow rate is lower than the first preset flow rate, and the carbon load is lower than the first preset carbon load, and delete the parameters of DPF failure, DPF differential pressure sensor failure, and DPF temperature sensor failure to obtain valid data.

[0043] Among them, the first preset temperature is generally the highest temperature that the DPF temperature can reach under non-active regeneration conditions, and this embodiment of the invention can use 450°C; the first preset flow rate is generally the maximum exhaust flow rate when the vehicle or engine is operating normally, and this embodiment of the invention can use 3000kg / h; the first preset carbon load is generally the maximum carbon load determined during the DPF design calibration, and this embodiment of the invention can use 50g.

[0044] In some embodiments, the step of dividing the sub-data into a plurality of sub-data segments according to the active regeneration state of the vehicle includes: The active regeneration start time and end time are determined according to the DPF active regeneration state parameters, and the valid data between each active regeneration start time and the last active regeneration end time is recorded as a sub-data segment.

[0045] For example, the data of the first vehicle records all the data from the cumulative engine running time t0 to t5. After screening, the valid data forms data A, which contains two active regenerations: normal driving from time t0 to time t1, the first active regeneration from time t1 to time t2, normal driving from time t2 to time t3, the second active regeneration from time t3 to time t4, and normal driving from time t4 to time t5. The data from time t0 to t1, t2 to t3, and t3 to t4 are three sub-data segments, recorded as A1, A2, and A3 respectively; In some embodiments, the step of dividing the sub-data into a plurality of sub-data segments according to the active regeneration state of the vehicle includes: The sub-data segments whose number of groups of data contained in the sub-data segments is greater than the set threshold are selected as valid sub-data segments. Here, the valid sub-data segments must contain at least 100 groups of data. Obtain valid data and eliminate interference from other faults or abnormal conditions.

[0046] Accordingly, the step of calculating the increasing rate of carbon load in each sub-data segment of each vehicle with engine running time includes: Sort the valid sub-data segments in chronological order, record the average carbon load of the first 1% of the sub-data (if there are less than 10 groups of data, select the first 10 groups of data) as the initial carbon load S1, and the midpoint of the moment as time t1, and the average carbon load of the last 1% of the sub-data (if there are less than 10 groups of data, select the last 10 groups of data) as the end point carbon load S2, and the midpoint of the moment as time t2, then the carbon load increase rate v = (S2-S1) / (t2-t1). As shown in the attached Figure 2 The first sub-data segment A1 of the first vehicle data A is shown, containing 1200 data points, with the horizontal axis representing the cumulative engine running time (in seconds, s) and the vertical axis representing the carbon load (in grams, g). The first 1% of data has 12 data sets, S1=9.4, t1=5110; the last 1% of data has 12 data sets, S2=15.08, t2=24705. The carbon load increase rate v=(15.08-9.4) / (24705-5110)= 0.00028987 g / s. Based on the above, the passive regeneration evaluation coefficient of the vehicle sub-data segment A1 is 1 / 0.00028987=3450.

[0047] The passive regeneration evaluation coefficient calculated by the above method can be used to evaluate the passive regeneration performance of a specified DPF configuration on a specified vehicle equipped with a specified engine under a certain state. According to actual needs or evaluation objectives, the final evaluation result can be obtained through the following processing methods, such as Figure 3 As shown, the step of evaluating the passive regeneration performance under the set state according to the passive regeneration evaluation coefficient includes: Selecting the passive regeneration evaluation coefficient of each sub-data segment with the same engine model, similar cumulative mileage or similar cumulative engine running time, grouping them according to the DPF configuration number, and calculating the average value of the passive regeneration evaluation coefficient of each group for comparing the passive regeneration performance of different DPF configurations; Selecting the passive regeneration evaluation coefficient of each sub-data segment with the same DPF configuration number, similar cumulative mileage or similar cumulative engine running time, grouping them according to engine model, and calculating the average value of the passive regeneration evaluation coefficient of each group for comparing the effects of different engine models on passive regeneration performance; The passive regeneration evaluation coefficient of each sub-data segment with the same engine model and DPF configuration number is selected, and the groups are grouped according to the accumulated mileage or accumulated engine running time. The average value of the passive regeneration evaluation coefficient of each group is calculated to compare the impact of aging on the passive regeneration performance during vehicle use. The passive regeneration evaluation coefficient is calculated using the carbon load increase rate. In fact, the carbon load increase rate itself can be used to evaluate the DPF passive regeneration performance, that is, the higher the carbon load increase rate, the worse the passive regeneration performance.

[0048] The present invention needs to collect a sufficient amount of original data, and includes requirements on the amount of data when screening effective sub-data fragments. A large amount of data can ensure that the rules finally summarized are reasonable and minimize the interference of abnormal data.

[0049] By creating a collection of sub-data and sub-data fragments, the passive regeneration evaluation coefficient under specified conditions (different vehicles, engines, DPF configurations, usage time, etc.) is accurately calculated, providing adjustment space for subsequent calculations of different actual needs or evaluation targets.

[0050] The increase in carbon load is the result of the accumulation of emitted particulate matter. The role of passive regeneration is to prevent the increase in carbon load to a certain extent. The rate of increase in carbon load can directly reflect the level of passive regeneration.

[0051] like Figure 4 As shown, an embodiment of the present invention provides a vehicle-side DPF passive regeneration performance evaluation device, including a data acquisition module, a data screening module, a sub-data division module, a data segment division module, an increase rate calculation module, an evaluation coefficient calculation module and a regeneration performance evaluation module; The data acquisition module is used to collect the original emission data of different vehicles; the original emission data includes vehicle number, cumulative engine running time, carbon load, and DPF active regeneration state parameters; Data screening module, used to screen the original emission data and obtain valid data; The sub-data division module is used to divide the valid data into a plurality of sub-data according to the vehicle number; wherein the data of each vehicle number is recorded as one sub-data; A data segment division module, used for dividing the sub-data into a plurality of sub-data segments according to the active regeneration state of the vehicle; An increase rate calculation module, used to calculate the increase rate of the carbon load in each sub-data segment of each vehicle as the engine running time increases; An evaluation coefficient calculation module, used to calculate the passive regeneration evaluation coefficient according to the increase rate of carbon loading; The regeneration performance evaluation module is used to evaluate the passive regeneration performance under a set state according to the passive regeneration evaluation coefficient.

[0052] The original emission data also includes engine model, DPF configuration number, total mileage, DPF fault parameters, DPF temperature, and exhaust flow.

[0053] In some embodiments, a data screening module is used to delete data with DPF fault based on DPF fault parameter judgment; select the data after deleting the DPF fault data, in which the DPF temperature is lower than a first preset temperature, the exhaust flow rate is lower than a first preset flow rate, and the carbon load is lower than a first preset carbon load, and delete the parameters of DPF failure, DPF differential pressure sensor failure, and DPF temperature sensor failure to obtain valid data.

[0054] In some embodiments, the data segment division module is specifically used to determine the start time and end time of active regeneration according to the DPF active regeneration state parameters, and the valid data between each active regeneration start time and the last active regeneration end time is recorded as a sub-data segment.

[0055] In some embodiments, the device further includes a data segment screening module, which is used to select a sub-data segment whose number of groups of data contained in the sub-data segment is greater than a set threshold as a valid sub-data segment. Correspondingly, an increase rate calculation module is used to sort the valid sub-data segments in chronological order, record the average carbon load of the first percentage of data before the sub-data segment as the initial carbon load S1, and the midpoint of the first percentage of data before the sub-data segment as the time t1, record the average carbon load of the first percentage of data after the sub-data segment as the end carbon load S2, and the midpoint of the first percentage of data after the sub-data segment as the time t2; Carbon loading increase rate v = (S2-S1) / (t2-t1).

[0056] In some embodiments, the regeneration performance evaluation module is used to select the passive regeneration evaluation coefficient of each sub-data segment with the same engine model, similar cumulative mileage or similar cumulative engine running time, group them according to the DPF configuration number, and calculate the average value of the passive regeneration evaluation coefficient of each group, which is used to compare the passive regeneration performance of different DPF configurations; select the passive regeneration evaluation coefficient of each sub-data segment with the same DPF configuration number, similar cumulative mileage or similar cumulative engine running time, group them according to the engine model, and calculate the average value of the passive regeneration evaluation coefficient of each group, which is used to compare the impact of different engine models on the passive regeneration performance; select the passive regeneration evaluation coefficient of each sub-data segment with the same engine model and DPF configuration number, group them according to the cumulative mileage or cumulative engine running time, and calculate the average value of the passive regeneration evaluation coefficient of each group, which is used to compare the impact of aging during vehicle use on the passive regeneration performance.

[0057] The embodiment of the present invention also provides an electronic device, which includes: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus. The communication bus can be used for information transmission between the electronic device and the sensor. The processor can call the logic instructions in the memory to execute the following method: Step 1: Collect the original emission data of different vehicles; wherein the original emission data includes the vehicle number, the cumulative engine running time, the carbon load, and the DPF active regeneration state parameter; Step 2: Filter the original emission data to obtain valid data; Step 3: Divide the valid data into several sub-data according to the vehicle number; wherein the data of each vehicle number is recorded as one sub-data; Step 4: Divide the sub-data into several sub-data segments according to the active regeneration state of the vehicle; Step 5: Calculate the increase rate of carbon load in each sub-data segment of each vehicle with the engine running time; Step 6: Calculate the passive regeneration evaluation coefficient according to the increase rate of carbon load; Step 7: Evaluate the passive regeneration performance under the set state according to the passive regeneration evaluation coefficient.

[0058] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program code.

[0059] An embodiment of the present invention provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to execute the method provided by the above method embodiment, for example, including: Step 1: Collecting raw emission data of different vehicle operations; wherein the raw emission data includes vehicle number, cumulative engine running time, carbon load, and DPF active regeneration state parameters; Step 2: Screening the raw emission data to obtain valid data; Step 3: According to the vehicle number, dividing the valid data into a number of sub-data; wherein the data of each vehicle number is recorded as a sub-data; Step 4: According to the active regeneration state of the vehicle, dividing the sub-data into a number of sub-data segments; Step 5: Calculating the increase rate of carbon load in each sub-data segment of each vehicle with the engine running time; Step 6: Calculating the passive regeneration evaluation coefficient according to the increase rate of carbon load; Step 7: Evaluating the passive regeneration performance under the set state according to the passive regeneration evaluation coefficient.

[0060] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0061] An embodiment of a vehicle-end DPF passive regeneration performance evaluation device provided in an embodiment of the present invention belongs to the same inventive concept as the vehicle-end DPF passive regeneration performance evaluation method of the above-mentioned embodiments. For details not described in detail in the embodiment of the vehicle-end DPF passive regeneration performance evaluation device, reference can be made to the embodiment of the above-mentioned vehicle-end DPF passive regeneration performance evaluation method.

[0062] The vehicle-side DPF passive regeneration performance evaluation device is a combination of the units and algorithm steps of each example described in the embodiments disclosed herein, and can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0063] Those skilled in the art will appreciate that various aspects of the vehicle-side DPF passive regeneration performance evaluation method can be implemented as a system, method or program product. Therefore, various aspects of the present disclosure can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software, which can be collectively referred to as a "circuit", "module" or "system".

[0064] Although the present invention has been described in detail with reference to the accompanying drawings and in combination with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, a person of ordinary skill in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions shall be within the scope of the present invention. Any person of ordinary skill in the art may easily think of changes or substitutions within the technical scope disclosed by the present invention, and these shall be within the scope of protection of the present invention.

Claims

1. A method for evaluating the passive regeneration performance of DPF on a vehicle, characterized in that: The steps include: Collect the original emission data of different vehicles; the original emission data includes vehicle number, cumulative engine running time, carbon load, and DPF active regeneration status parameters; Screen the original emission data to obtain valid data; According to the vehicle number, the valid data is divided into several sub-data; wherein the data of each vehicle number is recorded as one sub-data; Dividing the sub-data into a plurality of sub-data segments according to the active regeneration state of the vehicle; Calculate the rate of increase of carbon load with engine running time in each sub-data segment for each vehicle; The passive regeneration evaluation coefficient is calculated based on the rate of increase of carbon loading; The passive regeneration performance under the set state is evaluated based on the passive regeneration evaluation coefficient.

2. The vehicle-side DPF passive regeneration performance evaluation method according to claim 1 is characterized in that: The original emission data also includes engine model, DPF configuration number, total mileage, DPF fault parameters, DPF temperature, and exhaust flow.

3. The vehicle-side DPF passive regeneration performance evaluation method according to claim 2 is characterized in that: The steps to screen the raw emission data and obtain valid data include: According to the DPF fault parameter judgment, the data with DPF fault is deleted; Select the data after deleting the DPF fault data, in which the DPF temperature is lower than the first preset temperature, the exhaust flow rate is lower than the first preset flow rate, and the carbon load is lower than the first preset carbon load, and delete the parameters of DPF failure, DPF differential pressure sensor failure, and DPF temperature sensor failure to obtain valid data.

4. The vehicle-side DPF passive regeneration performance evaluation method according to claim 1, characterized in that: The step of dividing the sub-data into a plurality of sub-data segments according to the active regeneration state of the vehicle comprises: The active regeneration start time and end time are determined according to the DPF active regeneration state parameters, and the valid data between each active regeneration start time and the last active regeneration end time is recorded as a sub-data segment.

5. The vehicle-side DPF passive regeneration performance evaluation method according to claim 4 is characterized in that: The step of dividing the sub-data into a plurality of sub-data segments according to the active regeneration state of the vehicle comprises: A sub-data segment in which the number of groups of data contained in the sub-data segment is greater than a set threshold is selected as a valid sub-data segment.

6. The vehicle-side DPF passive regeneration performance evaluation method according to claim 5 is characterized in that: The steps of calculating the rate of increase of carbon load with engine running time in each sub-data segment of each vehicle include: Sort the valid sub-data segments in chronological order, record the average carbon load of the first percentage of data before the sub-data segment as the initial carbon load S1, record the midpoint of the first percentage of data before the sub-data segment as time t1, record the average carbon load of the first percentage of data after the sub-data segment as the end carbon load S2, and record the midpoint of the first percentage of data after the sub-data segment as time t2; Carbon loading increase rate v = (S2-S1) / (t2-t1).

7. The vehicle-side DPF passive regeneration performance evaluation method according to claim 6 is characterized in that: The step of evaluating the passive regeneration performance under a set state according to the passive regeneration evaluation coefficient includes: Selecting the passive regeneration evaluation coefficient of each sub-data segment with the same engine model, similar cumulative mileage or similar cumulative engine running time, grouping them according to the DPF configuration number, and calculating the average value of the passive regeneration evaluation coefficient of each group for comparing the passive regeneration performance of different DPF configurations; Selecting the passive regeneration evaluation coefficient of each sub-data segment with the same DPF configuration number, similar cumulative mileage or similar cumulative engine running time, grouping them according to engine model, and calculating the average value of the passive regeneration evaluation coefficient of each group for comparing the effects of different engine models on passive regeneration performance; The passive regeneration evaluation coefficient of each sub-data segment with the same engine model and DPF configuration number is selected, and the groups are grouped according to the cumulative mileage or the cumulative engine running time. The average value of the passive regeneration evaluation coefficient of each group is calculated to compare the impact of aging on the passive regeneration performance during vehicle use.

8. A vehicle-side DPF passive regeneration performance evaluation device, characterized in that: It includes a data acquisition module, a data screening module, a sub-data division module, a data segment division module, an increase rate calculation module, an evaluation coefficient calculation module and a regeneration performance evaluation module; The data acquisition module is used to collect the original emission data of different vehicles; the original emission data includes vehicle number, cumulative engine running time, carbon load, and DPF active regeneration state parameters; Data screening module, used to screen the original emission data and obtain valid data; The sub-data division module is used to divide the valid data into a plurality of sub-data according to the vehicle number; wherein the data of each vehicle number is recorded as one sub-data; A data segment division module, used for dividing the sub-data into a plurality of sub-data segments according to the active regeneration state of the vehicle; An increase rate calculation module, used to calculate the increase rate of the carbon load in each sub-data segment of each vehicle as the engine running time increases; An evaluation coefficient calculation module, used to calculate the passive regeneration evaluation coefficient according to the increase rate of carbon loading; The regeneration performance evaluation module is used to evaluate the passive regeneration performance under a set state according to the passive regeneration evaluation coefficient.

9. An electronic device, characterized in that: The electronic device includes: at least one processor; and a memory communicatively connected to the at least one processor; the memory stores computer program instructions executable by the at least one processor, and the computer program instructions are executed by the at least one processor so that the at least one processor can execute the vehicle-end DPF passive regeneration performance evaluation method as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, and the computer instructions enable the computer to execute the vehicle-end DPF passive regeneration performance evaluation method as described in any one of claims 1 to 7.

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