Vehicle end DPF differential pressure 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 differential pressure evaluation method, device and equipment and a storage medium, and the method comprises the following steps: collecting vehicle operation original emission data; screening the original emission data to obtain effective data; according to the use state of the DPF, grouping the effective data; partitioning the data in each group according to the combination of the rotating speed and the torque of the engine or the combination of the DPF temperature and the exhaust flow, and calculating the average DPF pressure difference in each partition; and evaluating the differential pressure performance of the DPF under the group by comparing the differential pressure values of the DPF in the same subarea of different groups. The method can accurately evaluate the differential pressure distribution of the DPF in the actual operation process of the vehicle, and provides direction guidance for reasonably designing the configuration parameters of the DPF and optimizing the calibration of the differential pressure related parameters of the DPF under key working conditions.

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] The size, porosity, pore size distribution, wall thickness of the DPF carrier and the catalyst coating applied on it will affect the pressure difference change of the DPF during actual use or vehicle driving. In addition, the temperature and flow rate of the exhaust gas under different engine operating conditions will also affect the pressure difference value of the DPF.

[0004] The industry usually measures the contribution of DPF to exhaust back pressure by testing the DPF pressure difference under rated engine conditions on an engine bench. However, this method has a single test condition and is unable to evaluate the impact of pressure change responsiveness under transient conditions during vehicle driving, the impact of geographic location and weather on environmental conditions, the impact of long-term operation on the degradation of the DPF carrier and catalyst, etc. It is unable to comprehensively evaluate the pressure difference performance of the post-treatment DPF. Summary of the invention

[0005] In order to solve the problem of evaluating the pressure difference performance of DPF, the present invention provides a vehicle-side DPF pressure difference evaluation method, device, equipment and storage medium.

[0006] In a first aspect, the technical solution of the present invention provides a vehicle-side DPF pressure difference evaluation method, comprising the following steps: Collect raw emission data from vehicle operation; Screen the original emission data to obtain valid data; According to the DPF usage status, the valid data is grouped; Partition the data in each group according to the combination of engine speed and torque or the combination of DPF temperature and exhaust flow, and calculate the average DPF pressure difference in each partition; The DPF pressure difference performance of the group is evaluated by comparing the DPF pressure difference values ​​of the same partition in different groups.

[0007] As a preferred embodiment of the technical solution of the present invention, the original emission data includes: engine model, engine speed, torque, DPF configuration number, cumulative total mileage, carbon load, exhaust flow, DPF temperature, DPF active regeneration state parameters, DPF fault parameters, and DPF pressure difference.

[0008] As a preferred embodiment of the technical solution of the present invention, the step of screening the original emission data to obtain valid data includes: Perform initial screening on the raw emission data to retain the data without faults; Determine the start and end time of active regeneration according to the DPF active regeneration state parameters, and filter out the data between the start of the last active regeneration and the end of the second to last active regeneration, which is the initial screening data; The initial screening data is screened again to obtain valid data.

[0009] By retaining fault-free data through initial screening, data errors caused by equipment failure or abnormal operation are reduced, and the accuracy of subsequent analysis is improved. Data within a specific time period is screened out based on the DPF active regeneration status parameters to ensure that the analyzed data is under normal working conditions of the DPF, avoiding interference with the pressure difference evaluation during the regeneration process. Secondary screening further excludes data that does not meet specific conditions, such as data with too low temperature, flow, carbon load and pressure difference, as well as parameters with faults, making the data used for the final evaluation more accurate and effective.

[0010] As a preferred embodiment of the technical solution of the present invention, the step of performing secondary screening on the initial screening data to obtain valid data includes: Obtain data in the initial screening data showing that the DPF temperature is lower than the first preset temperature, the exhaust flow rate is lower than the first preset flow rate, the carbon load is lower than the first preset carbon load, and the DPF pressure difference is lower than the first preset pressure difference, and delete the parameters of DPF failure, DPF pressure difference sensor failure, and DPF temperature sensor failure, so as to obtain valid data.

[0011] By setting specific temperature, flow, carbon load and pressure difference thresholds, the screening conditions for valid data are further refined to ensure the accuracy and representativeness of the data. Clearly deleting faulty parameters avoids erroneous evaluations caused by equipment failures and improves the accuracy and reliability of the evaluation. Strictly screened valid data can more accurately reflect the performance status of DPF under different working conditions, providing a solid foundation for subsequent grouping and zoning evaluations.

[0012] As a preferred embodiment of the technical solution of the present invention, the step of grouping the valid data according to the DPF usage status includes: Select data with the same engine model from all valid data and group them according to DPF configuration number; Select data with the same DPF configuration number from all valid data and group them according to engine model; Select data with the same engine model and DPF configuration number from all valid data, and group them according to the total accumulated mileage; The available data are grouped according to carbon loading.

[0013] It provides a variety of grouping methods, including grouping by engine model, DPF configuration number, cumulative total mileage and carbon load. Through grouping, in-depth analysis can be performed on data under different engine models, DPF configurations, mileage and carbon load conditions, revealing the impact of different factors on DPF pressure difference performance, and providing a scientific basis for optimized design and use. Group evaluation can more accurately reflect the performance differences of DPFs under different conditions and avoid evaluation bias caused by data congestion.

[0014] As a preferred embodiment of the technical solution of the present invention, the data in each group is partitioned according to the combination of engine speed and torque or the combination of DPF temperature and exhaust flow, and the step of calculating the average DPF pressure difference in each partition includes: The data in each group is divided into zones according to the combination of engine speed and torque at set intervals, or the data in each group is divided into zones according to the combination of DPF temperature and exhaust flow at set intervals; Calculate the average DPF differential pressure within each zone.

[0015] By setting intervals for partitioning, different working conditions can be divided more finely, making the evaluation more accurate. The average DPF pressure difference is calculated by partition, which simplifies the data processing process and improves the evaluation efficiency. The partition evaluation can reveal the performance change trend of DPF under different working conditions, providing strong support for optimizing use and maintenance.

[0016] As a preferred embodiment of the technical solution of the present invention, the step of evaluating the DPF pressure difference performance of the group by comparing the DPF pressure difference values ​​of the same partitions of different groups includes: Compare the DPF pressure difference values ​​of each partition under different DPF configuration number groups to obtain the DPF pressure difference performance of different configuration DPFs under various working conditions; Compare the DPF pressure difference values ​​of each partition under different engine model groups to obtain the DPF pressure difference performance of different engine models under various working conditions; Compare the DPF differential pressure values ​​of each partition under different cumulative total mileage groups to evaluate the impact of vehicle aging on DPF differential pressure performance during use; The DPF pressure difference values ​​of each partition under different carbon loading groups were compared to evaluate the effect of carbon loading on the DPF pressure difference performance.

[0017] By comparing the DPF pressure difference values ​​under different groups, we can comprehensively evaluate the impact of different engine models, DPF configurations, mileage and carbon load on DPF pressure difference performance, providing comprehensive guidance for optimized design and use. The evaluation can reveal the difference in DPF performance under different conditions, providing a scientific basis for optimized matching and selection. By evaluating the DPF performance under different mileage and carbon load, we can guide maintenance decisions, take timely measures to optimize performance and extend service life.

[0018] In a second aspect, the technical solution of the present invention further provides a vehicle-end DPF pressure difference evaluation device, including a data acquisition module, a data screening module, a grouping module, a partition calculation module and an evaluation processing module; Data collection module, used to collect raw emission data of vehicle operation; Data screening module, used to screen the original emission data to obtain valid data; A grouping module, used to group valid data according to the DPF usage status; A partition calculation module is used to partition the data in each group according to the combination of engine speed and torque or the combination of DPF temperature and exhaust flow, and calculate the average DPF pressure difference in each partition; The evaluation processing module is used to evaluate the DPF pressure difference performance of the group by comparing the DPF pressure difference values ​​of the same partition of different groups.

[0019] As a preferred embodiment of the technical solution of the present invention, the original emission data includes: engine model, engine speed, torque, DPF configuration number, cumulative total mileage, carbon load, exhaust flow, DPF temperature, DPF active regeneration state parameters, DPF fault parameters, and DPF pressure difference.

[0020] As a preferred embodiment of the technical solution of the present invention, the data screening module includes an initial screening unit and a secondary screening unit; An initial screening unit is used to initially screen the original emission data to retain data without faults; determine the start and end time of active regeneration according to the DPF active regeneration state parameter, and screen out the data between the start of the last active regeneration and the end of the second to last active regeneration, which is the initial screening data; The secondary screening unit is used to perform secondary screening on the initial screening data to obtain valid data.

[0021] As a preferred embodiment of the technical solution of the present invention, the secondary screening unit is specifically used to obtain data in the initial screening data that the DPF temperature is lower than the first preset temperature, the exhaust flow rate is lower than the first preset flow rate, the carbon load is lower than the first preset carbon load, and the DPF pressure difference is lower than the first preset pressure difference, and delete the parameters of DPF failure, DPF pressure difference sensor failure, and DPF temperature sensor failure, so as to obtain valid data.

[0022] As a preferred embodiment of the technical solution of the present invention, the grouping module is specifically used to select data with the same engine model from all valid data, and group them according to the DPF configuration number; select data with the same DPF configuration number from all valid data, and group them according to the engine model; select data with the same engine model and DPF configuration number from all valid data, and group them according to the accumulated total mileage; group the valid data according to the carbon load.

[0023] As a preferred embodiment of the technical solution of the present invention, the partition calculation module includes a partition processing unit and a calculation unit; A partition processing unit, used for partitioning the data in each group according to a combination of engine speed and torque at set intervals, or partitioning the data in each group according to a combination of DPF temperature and exhaust flow at set intervals; The calculation unit is used to calculate the average DPF pressure difference in each partition.

[0024] As a preferred embodiment of the technical solution of the present invention, the evaluation and processing module is specifically used to compare the DPF pressure difference values ​​of each partition under different DPF configuration number groups, and obtain the DPF pressure difference performance of DPFs with different configurations under various operating conditions; compare the DPF pressure difference values ​​of each partition under different engine model groups, and obtain the DPF pressure difference performance of different engine models under various operating conditions; compare the DPF pressure difference values ​​of each partition under different cumulative total mileage groups, and evaluate the impact of aging during vehicle use on the DPF pressure difference performance; compare the DPF pressure difference values ​​of each partition under different carbon load groups, and evaluate the impact of carbon load on the DPF pressure difference performance.

[0025] In a third aspect, the technical solution of the present invention also 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 pressure difference evaluation method as described in the first aspect.

[0026] 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 pressure difference evaluation method as described in the first aspect.

[0027] It can be seen from the above technical solutions that the present invention has the following advantages: by screening the original emission data and eliminating invalid or abnormal data, the accuracy and reliability of subsequent analysis are ensured. At the same time, the data is grouped according to the DPF usage status, so that the evaluation results are more targeted and practical. The data in each group is partitioned according to the combination of engine speed and torque or the combination of DPF temperature and exhaust flow, and the influence of different working conditions on the DPF pressure difference is fully considered. By calculating the average DPF pressure difference in each partition, the performance state of the DPF under different working conditions can be more accurately reflected. By comparing the DPF pressure difference values ​​of the same partitions of different groups, the advantages and disadvantages of the DPF pressure difference performance under different groups can be intuitively seen. This method not only helps to timely discover the blockage problem of DPF, but also provides strong support for optimizing engine operation and extending the service life of DPF.

[0028] The method of the present invention realizes a rapid and accurate evaluation of the DPF pressure difference performance. Compared with the traditional method, the method has higher evaluation efficiency and accuracy and can better meet the requirements of vehicle emission control. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] 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.

[0030] Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention.

[0031] Figure 2 is a schematic block diagram of an apparatus according to an embodiment of the present invention. DETAILED DESCRIPTION

[0032] The requirements for vehicle emission performance are also constantly increasing. As an important exhaust after-treatment device, diesel particulate filter plays a vital role in diesel vehicle emission control. DPF effectively reduces diesel vehicle particulate emissions by capturing and storing particulate matter in exhaust gas. However, as the use time increases, particulate matter will gradually accumulate inside the DPF, resulting in an increase in exhaust back pressure, which in turn affects the engine's power and fuel economy. Therefore, accurately evaluating the pressure difference of the DPF to determine its blockage degree and performance status is of great significance for ensuring that vehicle emissions meet standards and optimizing engine operation. Traditional DPF pressure difference evaluation methods often rely on single monitoring data or simple statistical methods, which are difficult to fully and accurately reflect the performance status of the DPF under different operating conditions. In addition, due to the complex and changeable vehicle operating conditions, the original emission data often contains a large amount of invalid or abnormal data, and the presence of these data will interfere with the accuracy of the evaluation results. Therefore, it is particularly important to develop a method that can comprehensively consider multiple factors and accurately evaluate the pressure difference performance of the DPF.

[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 vehicle-side DPF pressure difference evaluation method, comprising the following steps: Step 1: Collect raw vehicle emission data; In this step, the original emission data includes: engine model, engine speed, torque, DPF configuration number, cumulative total mileage, carbon load, exhaust flow, DPF temperature, DPF active regeneration state parameters, DPF fault parameters, DPF pressure difference, which are collected by the vehicle emission parameter data acquisition system and exported; here the data acquisition system includes emission data acquisition equipment, such as emission analyzers, sensors, etc., to ensure that the original emission data during vehicle operation can be collected in real time and accurately. Determine the cycle and frequency of data collection to ensure the integrity and continuity of the data. For example, data collection can be performed at regular time intervals during vehicle driving, or fixed-point collection can be performed under specific working conditions. The collected original emission data is stored in a safe and reliable storage device for subsequent analysis and processing.

[0035] It is necessary to collect a sufficient amount of original data. A large amount of data can ensure that the final summarized rules are reasonable and minimize the interference of abnormal data.

[0036] Step 2: Screen the original emission data to obtain valid data; In this step, the collected raw emission data is initially checked to remove obviously abnormal or invalid data points. For example, values ​​outside the reasonable range, missing values ​​or duplicate values ​​are processed. The remaining data is further screened according to the data quality assessment criteria. This includes checking the completeness, accuracy, consistency and reliability of the data. The screened valid data is stored in a dedicated database for subsequent analysis and processing.

[0037] Step 3: Group the valid data according to the DPF usage status; Divide the valid data into different groups according to the parameters such as the DPF usage time, mileage, number of regenerations, etc. This helps to understand the performance changes of the DPF under different usage conditions. For each group, further subdivide according to the parameters such as the degree of DPF blockage and wear to more accurately evaluate its performance. Record the basic information of each group, such as group name, data range, DPF status, etc., for subsequent analysis and comparison.

[0038] Step 4: partition the data in each group according to the combination of engine speed and torque or the combination of DPF temperature and exhaust flow, and calculate the average DPF pressure difference in each partition; For each grouping, divide the data into different partitions based on the combination of engine speed and torque or the combination of DPF temperature and exhaust flow. This helps to understand the pressure difference performance of the DPF under different operating conditions. For each partition, calculate the average DPF pressure difference within it. This can be achieved by weighted averaging all data points within the partition or other statistical methods. Record basic information of each partition, such as partition name, engine speed and torque range or DPF temperature and exhaust flow range, average DPF pressure difference, etc., for subsequent analysis and comparison.

[0039] The partition selection is based on the combination of speed and torque, or the combination of DPF temperature and exhaust flow. In addition to the DPF configuration parameters, the temperature and exhaust flow have the greatest impact on the other factors that affect the DPF pressure difference. Using the combination of temperature and flow as the basis for partitioning is more conducive to the design and optimization of the DPF body; using the combination of speed and torque as the basis for partitioning is more conducive to the optimization of engine calibration.

[0040] Step 5: Evaluate the DPF pressure difference performance of the group by comparing the DPF pressure difference values ​​of the same partition in different groups.

[0041] For each identical partition, compare the average DPF differential pressure values ​​under different groups. This helps to understand the difference in DPF differential pressure performance under different usage conditions. Based on the comparison results, evaluate the DPF differential pressure performance of each group. For example, you can set a certain evaluation standard or threshold, and judge its performance based on the comparison results of the average DPF differential pressure value and the standard or threshold. Record the evaluation results and generate corresponding evaluation reports or charts for subsequent analysis and improvement.

[0042] In some embodiments, the step of screening the raw emission data to obtain valid data includes: Step 21: Perform initial screening on the raw emission data to retain the data without faults; Step 22: Determine the start time and end time of active regeneration according to the DPF active regeneration state parameter, and filter out the data between the start of the last active regeneration and the end of the second to last active regeneration, which is the initial filter data; Step 23: Perform secondary screening on the initial screening data to obtain valid data, eliminating interference from other faults or abnormal conditions.

[0043] It should be noted that selecting the data between two active regenerations can, on the one hand, avoid the interference of the DPF pressure difference data during the active regeneration process on the total database, and on the other hand, it can record the entire process of the DPF from a clean state to a fully loaded state, and the data is more representative.

[0044] In some embodiments, the step of performing secondary screening on the initial screening data to obtain valid data includes: Obtain data in the initial screening data showing that the DPF temperature is lower than the first preset temperature, the exhaust flow rate is lower than the first preset flow rate, the carbon load is lower than the first preset carbon load, and the DPF pressure difference is lower than the first preset pressure difference, and delete the parameters of DPF failure, DPF pressure difference sensor failure, and DPF temperature sensor failure, so as to obtain valid data.

[0045] It should be noted that 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 and calibration, and this embodiment of the invention can use 50g; the first preset pressure difference is generally the maximum pressure difference determined during the DPF design and calibration, and this embodiment of the invention can use 10kPa. In some embodiments, the step of grouping the valid data according to the DPF usage status includes: Select data with the same engine model from all valid data and group them according to the DPF configuration number; evaluate the pressure difference performance of DPFs with different configurations; Select data with the same DPF configuration number from all valid data and group them according to engine models; evaluate the impact of the engine on the DPF pressure difference performance; Select data with the same engine model and DPF configuration number from all valid data and group them according to the total accumulated mileage; iii. Evaluate the effect of aging on DPF pressure difference performance during vehicle use; The valid data were grouped according to the carbon loading, and the effect of carbon loading on the DPF pressure difference performance was evaluated.

[0046] In some embodiments, the data in each group is partitioned according to a combination of engine speed and torque or a combination of DPF temperature and exhaust flow, and the step of calculating the average DPF pressure difference in each partition includes: Step 41: partitioning the data in each group according to a combination of engine speed and torque at a set interval, or partitioning the data in each group according to a combination of DPF temperature and exhaust flow at a set interval; Step 42: Calculate the average DPF pressure difference in each zone.

[0047] In some embodiments, the step of evaluating the DPF pressure difference performance of the group by comparing the DPF pressure difference values ​​of the same partition of different groups includes: Compare the DPF pressure difference values ​​of each partition under different DPF configuration number groups to obtain the DPF pressure difference performance of different configuration DPFs under various working conditions; Compare the DPF pressure difference values ​​of each partition under different engine model groups to obtain the DPF pressure difference performance of different engine models under various working conditions; Compare the DPF differential pressure values ​​of each partition under different cumulative total mileage groups to evaluate the impact of vehicle aging on DPF differential pressure performance during use; The DPF pressure difference values ​​of each partition under different carbon loading groups were compared to evaluate the effect of carbon loading on the DPF pressure difference performance.

[0048] It can comprehensively and accurately evaluate the pressure difference distribution of DPF during the actual operation of the vehicle, provide directional guidance for the reasonable design of DPF configuration parameters and optimization of the calibration of DPF pressure difference related parameters (carbon loading and active regeneration) under key working conditions, and also provide data support for the construction and verification of DPF pressure difference model.

[0049] like Figure 2 As shown, an embodiment of the present invention further provides a vehicle-side DPF pressure difference evaluation device, including a data acquisition module, a data screening module, a grouping module, a partition calculation module and an evaluation processing module; The data acquisition module is used to collect the original emission data of vehicle operation; the original emission data includes: engine model, engine speed, torque, DPF configuration number, cumulative total mileage, carbon load, exhaust flow, DPF temperature, DPF active regeneration status parameters, DPF fault parameters, and DPF pressure difference.

[0050] Data screening module, used to screen the original emission data to obtain valid data; A grouping module, used to group valid data according to the DPF usage status; A partition calculation module is used to partition the data in each group according to the combination of engine speed and torque or the combination of DPF temperature and exhaust flow, and calculate the average DPF pressure difference in each partition; The evaluation processing module is used to evaluate the DPF pressure difference performance of the group by comparing the DPF pressure difference values ​​of the same partition of different groups.

[0051] In some embodiments, the data screening module includes a primary screening unit and a secondary screening unit; An initial screening unit is used to initially screen the original emission data to retain data without faults; determine the start and end time of active regeneration according to the DPF active regeneration state parameter, and screen out the data between the start of the last active regeneration and the end of the second to last active regeneration, which is the initial screening data; The secondary screening unit is used to perform secondary screening on the initial screening data to obtain valid data. Specifically, it is used to obtain data in the initial screening data that the DPF temperature is lower than the first preset temperature, the exhaust flow rate is lower than the first preset flow rate, the carbon load is lower than the first preset carbon load, and the DPF pressure difference is lower than the first preset pressure difference, and delete the parameters of DPF failure, DPF pressure difference sensor failure, and DPF temperature sensor failure, so as to obtain valid data.

[0052] In some embodiments, the grouping module is specifically used to select data with the same engine model from all valid data, and group them according to the DPF configuration number; select data with the same DPF configuration number from all valid data, and group them according to the engine model; select data with the same engine model and DPF configuration number from all valid data, and group them according to the accumulated total mileage; group the valid data according to the carbon load.

[0053] In some embodiments, the partition computing module includes a partition processing unit and a computing unit; A partition processing unit, used for partitioning the data in each group according to a combination of engine speed and torque at set intervals, or partitioning the data in each group according to a combination of DPF temperature and exhaust flow at set intervals; The calculation unit is used to calculate the average DPF pressure difference in each partition.

[0054] In some embodiments, the evaluation and processing module is specifically used to compare the DPF pressure difference values ​​of each partition under different DPF configuration number groups, and obtain the DPF pressure difference performance of DPFs with different configurations under various operating conditions; compare the DPF pressure difference values ​​of each partition under different engine model groups, and obtain the DPF pressure difference performance of different engine models under various operating conditions; compare the DPF pressure difference values ​​of each partition under different cumulative total mileage groups, and evaluate the impact of aging during vehicle use on the DPF pressure difference performance; compare the DPF pressure difference values ​​of each partition under different carbon load groups, and evaluate the impact of carbon load on the DPF pressure difference performance.

[0055] 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 the vehicle operation; Step 2: Filter the original emission data to obtain valid data; Step 3: Group the valid data according to the DPF usage status; Step 4: Partition the data in each group according to the combination of engine speed and torque or the combination of DPF temperature and exhaust flow, and calculate the average DPF pressure difference in each partition; Step 5: Evaluate the DPF pressure difference performance under the group by comparing the DPF pressure difference values ​​of the same partition of different groups.

[0056] 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.

[0057] 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 vehicle operation; Step 2: Screening the raw emission data to obtain valid data; Step 3: Grouping the valid data according to the DPF usage status; Step 4: Partitioning the data in each group according to the combination of engine speed and torque or the combination of DPF temperature and exhaust flow, and calculating the average DPF pressure difference in each partition; Step 5: Evaluating the DPF pressure difference performance of the group by comparing the DPF pressure difference values ​​of the same partition of different groups.

[0058] 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.

[0059] An embodiment of a vehicle-end DPF pressure differential evaluation device provided in an embodiment of the present invention belongs to the same inventive concept as the vehicle-end DPF pressure differential evaluation method of the above-mentioned embodiments. For details not described in detail in the embodiment of the vehicle-end DPF pressure differential evaluation device, reference can be made to the embodiment of the above-mentioned vehicle-end DPF pressure differential evaluation method.

[0060] The vehicle-side DPF pressure difference 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 the above description according to function. 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.

[0061] Those skilled in the art will appreciate that various aspects of the vehicle-side DPF pressure difference 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 a combination of hardware and software, which can be collectively referred to as "circuit", "module" or "system".

[0062] 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 vehicle-side DPF pressure difference evaluation method, characterized in that: The steps include: Collect raw emission data from vehicle operation; Screen the original emission data to obtain valid data; According to the DPF usage status, the valid data is grouped; Partition the data in each group according to the combination of engine speed and torque or the combination of DPF temperature and exhaust flow, and calculate the average DPF pressure difference in each partition; The DPF pressure difference performance of the group is evaluated by comparing the DPF pressure difference values ​​of the same partition in different groups.

2. The vehicle-side DPF pressure difference evaluation method according to claim 1, characterized in that: The original emission data includes: engine model, engine speed, torque, DPF configuration number, total accumulated mileage, carbon load, exhaust flow, DPF temperature, DPF active regeneration status parameters, DPF fault parameters, and DPF pressure difference.

3. The vehicle-side DPF pressure difference evaluation method according to claim 2, characterized in that: The steps to screen the raw emission data and obtain valid data include: Perform initial screening on the raw emission data to retain the data without faults; Determine the start and end time of active regeneration according to the DPF active regeneration state parameters, and filter out the data between the start of the last active regeneration and the end of the second to last active regeneration, which is the initial screening data; The initial screening data is screened again to obtain valid data.

4. The vehicle-side DPF pressure difference evaluation method according to claim 3 is characterized in that: The steps of performing secondary screening on the initial screening data to obtain valid data include: Obtain data in the initial screening data showing that the DPF temperature is lower than the first preset temperature, the exhaust flow rate is lower than the first preset flow rate, the carbon load is lower than the first preset carbon load, and the DPF pressure difference is lower than the first preset pressure difference, and delete the parameters of DPF failure, DPF pressure difference sensor failure, and DPF temperature sensor failure, so as to obtain valid data.

5. The vehicle-side DPF pressure difference evaluation method according to claim 4 is characterized in that: The steps of grouping the valid data according to the DPF usage status include: Select data with the same engine model from all valid data and group them according to DPF configuration number; Select data with the same DPF configuration number from all valid data and group them according to engine model; Select data with the same engine model and DPF configuration number from all valid data, and group them according to the total accumulated mileage; The available data are grouped according to carbon loading.

6. The vehicle-side DPF pressure difference evaluation method according to claim 5, characterized in that: The data in each group is partitioned according to the combination of engine speed and torque or the combination of DPF temperature and exhaust flow, and the steps of calculating the average DPF pressure difference in each partition include: The data in each group is divided into zones according to the combination of engine speed and torque at set intervals, or the data in each group is divided into zones according to the combination of DPF temperature and exhaust flow at set intervals; Calculate the average DPF differential pressure within each zone.

7. The vehicle-side DPF pressure difference evaluation method according to claim 5, characterized in that: The steps of evaluating the DPF pressure difference performance of the group by comparing the DPF pressure difference values ​​of the same partition of different groups include: Compare the DPF pressure difference values ​​of each partition under different DPF configuration number groups to obtain the DPF pressure difference performance of different configuration DPFs under various working conditions; Compare the DPF pressure difference values ​​of each partition under different engine model groups to obtain the DPF pressure difference performance of different engine models under various working conditions; Compare the DPF differential pressure values ​​of each partition under different cumulative total mileage groups to evaluate the impact of vehicle aging on DPF differential pressure performance during use; The DPF pressure difference values ​​of each partition under different carbon loading groups were compared to evaluate the effect of carbon loading on the DPF pressure difference performance.

8. A vehicle-side DPF pressure difference evaluation device, characterized in that: It includes data collection module, data screening module, grouping module, partition calculation module and evaluation processing module; Data collection module, used to collect raw emission data of vehicle operation; Data screening module, used to screen the original emission data to obtain valid data; A grouping module, used to group valid data according to the DPF usage status; A partition calculation module is used to partition the data in each group according to the combination of engine speed and torque or the combination of DPF temperature and exhaust flow, and calculate the average DPF pressure difference in each partition; The evaluation processing module is used to evaluate the DPF pressure difference performance of the group by comparing the DPF pressure difference values ​​of the same partition of different groups.

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 pressure difference 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 pressure difference evaluation method as described in any one of claims 1 to 7.

Images