Method, device and electronic equipment for analyzing regeneration characteristics of vehicle exhaust purification system

Abstract

The present disclosure relates to a vehicle exhaust purification system regeneration characteristic analysis method, device and electronic equipment. The method comprises: obtaining working condition parameters of a target vehicle in a specified period according to a regeneration analysis instruction input by a user; identifying a period in which regeneration occurs in the specified period according to the working condition parameters; and determining a regeneration characteristic parameter of an exhaust purification system of the target vehicle in the specified period according to the identification result. The working condition parameters of the vehicle are automatically uploaded under the daily working condition of the vehicle. After receiving the regeneration analysis instruction input by the user, the working condition parameters of the target vehicle in the specified period can be obtained without manually collecting the working condition parameters of the vehicle. The regeneration characteristic parameter can directly reflect the regeneration characteristics of the exhaust purification system in the specified period. In this way, the regeneration characteristics of the exhaust purification system can be quickly and accurately analyzed remotely by using the determined regeneration characteristic parameter, thereby saving manpower.

Description

Technical Field

[0001] This disclosure relates to the field of vehicles, and more specifically, to a method, apparatus, and electronic device for analyzing the regeneration characteristics of a vehicle exhaust purification system. Background Technology

[0002] Currently, requirements for vehicle exhaust emissions are becoming increasingly stringent. Vehicle exhaust purification systems are used to purify the exhaust gases from car engines, reduce pollution emissions, and control the emission of harmful substances in the exhaust. During operation, particulate matter accumulates within the exhaust purification system. When this accumulation reaches a certain level, it affects the system's purification efficiency. Therefore, the exhaust purification system needs to remove the accumulated particulate matter through self-regeneration. Analyzing the regeneration characteristics of the exhaust purification system allows staff to promptly understand its regeneration effectiveness.

[0003] In related technologies, vehicles are typically manually controlled to enter parking regeneration mode on-site. Operating parameters during the parking regeneration process are manually collected, and the regeneration characteristics of the exhaust purification system are analyzed. This method is labor-intensive and inefficient. Summary of the Invention

[0004] The purpose of this disclosure is to provide a method, apparatus, and electronic device for analyzing the regenerative characteristics of a vehicle exhaust purification system. This method enables remote analysis of the regenerative characteristics of a vehicle exhaust purification system, eliminating the need for manual on-site collection of vehicle operating parameters and analysis of the system's regenerative characteristics.

[0005] To achieve the above objectives, this disclosure provides a method for analyzing the regeneration characteristics of a vehicle exhaust purification system, the method comprising:

[0006] Based on the user-inputted regeneration analysis command, obtain the target vehicle's operating parameters within a specified time period;

[0007] Based on the operating parameters, identify the time periods during which regeneration occurs within the specified time period;

[0008] Based on the identification results, the regeneration characteristic parameters of the exhaust purification system of the target vehicle during the specified time period are determined.

[0009] Optionally, the regeneration analysis command is used to instruct the regeneration characteristic analysis of a vehicle of a specified model.

[0010] The step of obtaining the target vehicle's operating parameters within a specified time period based on the user-inputted regeneration analysis command includes:

[0011] According to the regeneration analysis instruction, the vehicle with the specified model is identified as the target vehicle;

[0012] Obtain the operating parameters of the target vehicle during the specified time period.

[0013] Optionally, identifying the time period during which regeneration occurs within the specified time period based on the operating condition parameters includes:

[0014] The time corresponding to the operating condition parameter that satisfies the regeneration start condition is determined as the regeneration start time, starting from the start time of the specified time period, or from the time of the completion of the last regeneration event, or from the time of the most recent regeneration interruption.

[0015] Starting from the regeneration start time, the time corresponding to the operating condition parameters that meet the regeneration interruption conditions is determined as the regeneration interruption time;

[0016] Determine whether the operating parameters corresponding to the regeneration interruption time meet the regeneration completion conditions;

[0017] If the operating parameters corresponding to the regeneration interruption time satisfy the regeneration completion condition, the regeneration interruption time is determined as the regeneration completion time of this regeneration event, wherein:

[0018] If the current regeneration event is the first regeneration event within the specified time period, then the regeneration start time of the current regeneration event is the first regeneration start time determined from the start time of the specified time period; if the current regeneration event is not the first regeneration event within the specified time period, then the regeneration start time of the current regeneration event is the first regeneration start time determined from the regeneration completion time of the previous regeneration event.

[0019] Optionally, identifying the time period during which regeneration occurs within the specified time period based on the operating condition parameters further includes:

[0020] If at least two regeneration interruption times are determined in this regeneration event, then after determining the time corresponding to the operating condition parameter that satisfies the regeneration interruption condition as the regeneration interruption time, the regeneration interruption time is determined as the regeneration completion time of the sub-regeneration event in this regeneration event, wherein the regeneration start time of the sub-regeneration event is the most recent regeneration start time before the regeneration interruption time.

[0021] Optionally, identifying the time period during which regeneration occurs within the specified time period based on the operating condition parameters further includes:

[0022] After determining the time corresponding to the operating parameters that meet the regeneration interruption conditions as the regeneration interruption time, the validity of the regeneration interruption time is judged.

[0023] If the regeneration interruption time is determined to be valid, then the steps of determining the regeneration interruption time as the regeneration completion time of the sub-regeneration event in this regeneration event and determining whether the operating condition parameters corresponding to the regeneration interruption time meet the regeneration completion conditions are executed.

[0024] Optionally, the operating parameters include: the exhaust temperature at the front end of the selective catalytic reduction (SCR) system and the status information of the high exhaust temperature indicator light; the determination of the validity of the regeneration interruption time includes:

[0025] If, from the start of regeneration, the operating parameters satisfy any one of the following, then the regeneration interruption time is deemed valid:

[0026] The high exhaust temperature indicator light remains illuminated for a duration of the first duration.

[0027] The duration during which the exhaust temperature at the front end of the SCR is greater than the first temperature threshold reaches the second duration;

[0028] The second duration is shorter than the first duration.

[0029] Optionally, the operating parameters include: engine speed, high exhaust temperature indicator status information, ambient temperature, atmospheric pressure, and coolant temperature;

[0030] The regeneration start conditions include: the engine speed is greater than a first speed threshold, the high exhaust temperature indicator is lit, the ambient temperature is greater than a second temperature threshold, and the atmospheric pressure is less than a predetermined pressure threshold.

[0031] The regeneration interruption conditions include: the engine speed is less than or equal to the first speed threshold, or the engine speed is greater than the first speed threshold and the high exhaust temperature indicator is off, or the duration of the engine speed being less than the second speed threshold reaches a third duration.

[0032] The regeneration completion condition includes: from the time of regeneration interruption, the duration of the following three conditions reaches a fourth duration:

[0033] The engine speed is greater than the first speed threshold.

[0034] The high exhaust temperature indicator light is off;

[0035] The coolant temperature is greater than the third temperature threshold.

[0036] Wherein, the second rotational speed threshold is less than the first rotational speed threshold, the third temperature threshold is greater than the second temperature threshold, and the fourth duration is less than the third duration.

[0037] Optionally, the regeneration characteristic parameters include at least one of the following: regeneration type, total number of regenerations, single regeneration duration, total regeneration duration, average regeneration duration, effective regeneration duration, single regeneration mileage interval, total regeneration mileage interval, and average regeneration mileage interval.

[0038] This disclosure also provides a device for analyzing the regenerative characteristics of a vehicle exhaust purification system, the device comprising:

[0039] The acquisition module is used to obtain the operating parameters of the target vehicle within a specified time period based on the regeneration analysis command input by the user.

[0040] The identification module is used to identify the time period during which regeneration occurs within the specified time period based on the operating condition parameters;

[0041] The determination module is used to determine the regeneration characteristic parameters of the exhaust purification system of the target vehicle during the specified time period based on the identification results.

[0042] This disclosure also provides an electronic device, including:

[0043] A memory on which computer programs are stored;

[0044] A processor is used to execute the computer program in the memory to implement the steps of the above-described method for analyzing the regeneration characteristics of a vehicle exhaust purification system.

[0045] Through the above technical solution, regardless of whether the target vehicle is in driving or parked state, as long as the user remotely inputs a regeneration analysis command, the analysis of the regeneration characteristics of the target vehicle's exhaust purification system within a specified time period can be triggered. Compared with related technologies that require manual on-site control of the vehicle to enter parking regeneration mode before the regeneration characteristics of the vehicle's exhaust purification system can be analyzed, this reduces the environmental requirements for vehicle regeneration characteristic analysis and saves manpower. Furthermore, after receiving the regeneration analysis command, based on the operating parameters of the target vehicle within the specified time period, the period during which regeneration occurs can be automatically identified without manual analysis. Thus, combining the identification results, the regeneration characteristic parameters of the target vehicle's exhaust purification system within the specified time period can be quickly and accurately determined, thereby improving the analysis efficiency in the process of analyzing the regeneration characteristics of the target vehicle's exhaust purification system, further saving manpower, and making the analysis method more intelligent.

[0046] Other features and advantages of this disclosure will be described in detail in the following detailed description section. Attached Figure Description

[0047] The accompanying drawings are provided to further illustrate the present disclosure and form part of the specification. They are used together with the following detailed description to explain the present disclosure, but do not constitute a limitation thereof. In the drawings:

[0048] Figure 1 This is a schematic diagram illustrating an implementation environment according to an exemplary embodiment.

[0049] Figure 2 This is a flowchart of a method for analyzing the regeneration characteristics of a vehicle exhaust purification system, provided in an exemplary embodiment.

[0050] Figure 3 This is a signaling diagram of a vehicle exhaust purification system regeneration characteristic analysis method provided in an exemplary embodiment.

[0051] Figure 4 This is a schematic diagram of regeneration event partitioning provided in an exemplary embodiment.

[0052] Figure 5 This is a schematic diagram of sub-regeneration event partitioning provided in an exemplary embodiment.

[0053] Figure 6 This is a schematic diagram of sub-regeneration event partitioning provided in yet another exemplary embodiment.

[0054] Figure 7 This is a schematic diagram illustrating the correspondence between date and single regeneration duration provided in an exemplary embodiment.

[0055] Figure 8 This is a flowchart of a method for analyzing the regenerative characteristics of a vehicle exhaust purification system, provided in yet another exemplary embodiment.

[0056] Figure 9 This is a block diagram of a vehicle exhaust purification system regeneration characteristic analysis device provided in an exemplary embodiment.

[0057] Figure 10 This is a block diagram illustrating an electronic device according to an exemplary embodiment. Detailed Implementation

[0058] The specific embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit this disclosure.

[0059] It should be noted that all actions involving the acquisition of signals, information, or data in this disclosure are carried out in compliance with the relevant data protection laws and policies of the country where the location is situated, and with authorization from the owner of the relevant device.

[0060] Figure 1This is a schematic diagram illustrating an implementation environment according to an exemplary embodiment. The implementation environment may include a first vehicle 110, a second vehicle 120, a third vehicle 130, a Telematics Service Provider (TSP) cloud platform 140, and a data analytics platform 150. Communication between the first vehicle 110 and the TSP cloud platform 140, between the second vehicle 120 and the TSP cloud platform 140, between the third vehicle 130 and the TSP cloud platform 140, and between the TSP cloud platform 140 and the data analytics platform 150 can be achieved through various wired or wireless methods, such as, but not limited to, 4G networks, 5G networks, WiFi, etc.

[0061] The first vehicle 110, the second vehicle 120, and the third vehicle 130 respectively send their daily operating condition parameters to the TSP cloud platform 140 for storage via their own telematics-BOX (T-BOX). Upon receiving a regeneration analysis command, the data analysis platform 150 retrieves the operating condition parameters from the TSP cloud platform 140. In one embodiment, the data analysis platform 150 and the TSP cloud platform 140 can be independent devices, such as both being servers. Figure 1 As shown. In other embodiments, the data analysis platform 150 can be integrated into the TSP cloud platform 140 as software. After acquiring operating parameters, the data analysis platform 150 performs regeneration characteristic analysis of the vehicle exhaust purification system using computer software.

[0062] The method for analyzing the regenerative characteristics of a vehicle exhaust purification system disclosed herein can be applied to a data analysis platform 150.

[0063] Figure 2 This is a flowchart of a method for analyzing the regenerative characteristics of a vehicle exhaust purification system, provided in an exemplary embodiment. For example... Figure 2 As shown, the method includes the following steps.

[0064] In step S101, the operating parameters of the target vehicle within a specified time period are obtained according to the regeneration analysis command input by the user.

[0065] Regeneration analysis commands can be input by the user. For example, a dialog box titled "Perform regeneration analysis?" can be displayed on the computer screen, allowing the user to send the command by clicking the "Yes" button with the mouse or keyboard (e.g., the Enter key). The target vehicle and specified time period can be preset by the user; for instance, a vehicle selection dialog box and a time period selection dialog box can be displayed on the computer screen, allowing the user to select the target vehicle and specified time period using the mouse. The target vehicle can be a single vehicle. After receiving the regeneration analysis command, the data analysis platform can obtain the operating parameters of the target vehicle within the specified time period.

[0066] Figure 3 This is a signaling diagram of a method for analyzing the regenerative characteristics of a vehicle exhaust purification system provided in an exemplary embodiment. (As shown...) Figure 3 As shown, the T-BOX transmits the vehicle's operating parameters under normal operating conditions to the TSP cloud platform in real time via wireless communication (e.g., 4G network) for storage. The data analysis platform, where the vehicle exhaust purification system regeneration characteristic analysis method is located, sends a request for operating parameter data carrying a specified time period and target vehicle information to the TSP cloud platform after receiving the user's input regeneration analysis command. The TSP cloud platform retrieves the operating parameters corresponding to the target vehicle and specified time period from the stored operating parameters, encapsulates them, and sends them to a predetermined message queue. The data analysis platform then obtains the target vehicle's operating parameters for the specified time period from the message queue.

[0067] In step S102, the time period during which regeneration occurs is identified based on the operating parameters.

[0068] The vehicle's operating parameters differ between regenerating and non-regenerating conditions of the exhaust purification system. Therefore, the regeneration periods within a specified time period can be identified based on the target vehicle's operating parameters. Within a specified time period, the target vehicle's exhaust purification system may perform one or more regeneration cycles, or it may not perform any regeneration. Therefore, the identification results for regeneration periods within a specified time period may include one or more regeneration periods, or they may not include any regeneration periods.

[0069] The specified time period can be a short period of time in hours, such as from 11:30 a.m. to 6:30 p.m. on March 11, 2024; or a longer period of time in days, such as from January 19, 2024 to February 19, 2024.

[0070] In step S103, based on the identification results, the regeneration characteristic parameters of the exhaust purification system of the target vehicle within a specified time period are determined.

[0071] After identifying the periods during which regeneration occurs in the target vehicle within a specified timeframe, the regeneration characteristic parameters of the target vehicle's exhaust purification system during these periods can be determined. These regeneration characteristic parameters reflect the regeneration characteristics of the target vehicle's exhaust purification system within the specified timeframe; for example, they may include the regeneration duration. Once these parameters are determined, the regeneration characteristics of the target vehicle's exhaust purification system within the specified timeframe can be analyzed in conjunction with these parameters.

[0072] Once the regeneration characteristic parameters are determined, they can be stored. (Refer to...) Figure 3After determining the regeneration characteristic parameters of the target vehicle within a specified time period, the data analysis platform of the vehicle exhaust purification system regeneration characteristic analysis method can send the regeneration characteristic parameters to the storage unit through a Kafka message queue. The regeneration characteristic parameters can be stored in the storage unit in the form of a data table.

[0073] Through the above technical solution, regardless of whether the target vehicle is in driving or parked state, as long as the user remotely inputs a regeneration analysis command, the analysis of the regeneration characteristics of the target vehicle's exhaust purification system within a specified time period can be triggered. Compared with related technologies that require manual on-site control of the vehicle to enter parking regeneration mode before the regeneration characteristics of the vehicle's exhaust purification system can be analyzed, this reduces the environmental requirements for vehicle regeneration characteristic analysis and saves manpower. Furthermore, after receiving the regeneration analysis command, based on the operating parameters of the target vehicle within the specified time period, the period during which regeneration occurs can be automatically identified without manual analysis. Thus, combining the identification results, the regeneration characteristic parameters of the target vehicle's exhaust purification system within the specified time period can be quickly and accurately determined, thereby improving the analysis efficiency in the process of analyzing the regeneration characteristics of the target vehicle's exhaust purification system, further saving manpower, and making the analysis method more intelligent.

[0074] In another embodiment, the regeneration analysis command is used to instruct a regeneration characteristic analysis of a vehicle of a specified model.

[0075] The above-mentioned regeneration analysis commands input by the user obtain the operating parameters of the target vehicle within a specified time period, including:

[0076] According to the regeneration analysis instructions, vehicles of the specified model are identified as target vehicles;

[0077] Obtain the operating parameters of the target vehicle within a specified time period.

[0078] The target vehicles can be multiple vehicles of the same model. Vehicles of the same model are equipped with the same model of exhaust purification system. Therefore, it is also possible to perform batch regeneration characteristic analysis on the exhaust purification systems of multiple vehicles of a specified model.

[0079] The specified vehicle model and time period can be preset by the user. For example, a vehicle model selection dialog box and a time period selection dialog box can be displayed on the computer screen. The user can select the specified vehicle model and time period using the mouse. After receiving the regeneration analysis instruction, the data analysis platform can identify multiple vehicles with the specified vehicle model as the target vehicle according to the regeneration analysis instruction.

[0080] In this embodiment, vehicles of a specified model are identified as target vehicles. By obtaining the operating parameters of the target vehicles within a specified time period, the regeneration characteristics of the exhaust purification systems of multiple vehicles of the same model can be analyzed in batches, thereby improving analysis efficiency.

[0081] In yet another embodiment, identifying the time period during which regeneration occurs within a specified time period based on operating parameters includes:

[0082] The regeneration start time is determined from the start time of the specified time period, or from the completion time of the last regeneration event, or from the most recent regeneration interruption time, at the time corresponding to the operating condition parameters that meet the regeneration start conditions.

[0083] From the start of regeneration, the time corresponding to the operating parameters that meet the regeneration interruption conditions is determined as the regeneration interruption time;

[0084] Determine whether the operating parameters corresponding to the moment of regeneration interruption meet the conditions for regeneration completion.

[0085] If the operating parameters corresponding to the regeneration interruption time meet the regeneration completion conditions, the regeneration interruption time is determined as the regeneration completion time of this regeneration event, where:

[0086] If this regeneration event is the first regeneration event within the specified time period, then the regeneration start time of this regeneration event is the first regeneration start time determined from the start time of the specified time period; if this regeneration event is not the first regeneration event within the specified time period, then the regeneration start time of this regeneration event is the first regeneration start time determined from the completion time of the previous regeneration event.

[0087] A specified time period may include one or more regeneration events. A regeneration event may or may not be the first regeneration event within the specified time period. Therefore, the regeneration start time can be determined from the start time of the specified time period or from the completion time of the previous regeneration event. Furthermore, if the operating parameters corresponding to the determined regeneration interruption time do not meet the regeneration completion conditions, it indicates that the regeneration event has not ended, and it is necessary to continue determining whether to resume regeneration. That is, the regeneration start time can also be determined from the most recent regeneration interruption time.

[0088] When the regeneration interruption time is determined, it could mean that the current regeneration event has ended or that a regeneration interruption has occurred. Therefore, it is necessary to determine whether the operating parameters corresponding to the regeneration interruption time meet the regeneration completion conditions. If the operating parameters corresponding to the regeneration interruption time meet the regeneration completion conditions, the regeneration interruption time can be determined as the regeneration completion time of this regeneration event. If the operating parameters corresponding to the regeneration interruption time do not meet the regeneration completion conditions, the regeneration start time can be determined.

[0089] Figure 4 This is a schematic diagram of regeneration event partitioning provided in an exemplary embodiment. For example... Figure 4 As shown, the start time G1 of the specified time period is 0:30, and the end time G8 of the specified time period is 6:30. Within the specified time period, three regeneration start times are determined: G2 (1:00), G4 (3:00), and G6 (5:00). Three regeneration completion times are determined: G3 (2:00), G5 (4:00), and G7 (6:00). Three regeneration events are determined: Regeneration Event A, Regeneration Event B, and Regeneration Event C. Among them, regeneration event A is the first regeneration event within the specified time period of 0:30-6:30. Therefore, the first regeneration start time G2 (1:00) determined from the start time G1 (0:30) of the specified time period is the regeneration start time of regeneration event A, and the regeneration completion time G3 (2:00) is the regeneration completion time of regeneration event A. Regeneration event B is the second regeneration event within the specified time period. Therefore, the regeneration start time of regeneration event B is the first regeneration start time determined from the regeneration completion time G3 (2:00) of the previous regeneration event A, that is, the regeneration start time G4 (3:00), and the regeneration completion time of regeneration event B is the regeneration completion time G5 (4:00). Regeneration event C is the third regeneration event within the specified time period. Therefore, the regeneration start time of regeneration event C is the first regeneration start time determined from the regeneration completion time G5 (4:00) of the previous regeneration event B, that is, the regeneration start time G6 (5:00), and the regeneration completion time of regeneration event C is G7 (6:00).

[0090] In this embodiment, the above method can reliably and accurately determine the start time and completion time of each regeneration event within a specified time period.

[0091] In yet another embodiment, the method of identifying the period during which regeneration occurs within a specified time period based on operating parameters further includes:

[0092] If at least two regeneration interruption times are determined in this regeneration event, then after determining the time corresponding to the operating parameters that meet the regeneration interruption conditions as the regeneration interruption time, the regeneration interruption time is determined as the regeneration completion time of the sub-regeneration event in this regeneration event, wherein the regeneration start time of the sub-regeneration event is the most recent regeneration start time before the regeneration interruption time.

[0093] A regeneration event can include one or more sub-regeneration events. A regeneration event is defined as the time from the start of regeneration to the completion of regeneration. If a regeneration interruption time is determined within this regeneration event, then the number of sub-regeneration events in this regeneration event is one. For example, if the regeneration start time of this event is 20:30 and the regeneration completion time is 20:47, since the regeneration completion time of this event is the regeneration interruption time when the operating parameters corresponding to the regeneration interruption time meet the regeneration completion conditions, the number of regeneration interruption times in this regeneration event is one. In this case, the sub-regeneration event itself is a regeneration event, the regeneration start time of the sub-regeneration event is the start time of the regeneration event, and the regeneration completion time of the sub-regeneration event is the regeneration completion time of the regeneration event.

[0094] If at least two regeneration interruption times are determined in this regeneration event, then after determining the regeneration interruption times, the regeneration interruption times can be determined as the regeneration completion times of the sub-regeneration events in this regeneration event, and the most recent regeneration start time before the regeneration interruption time can be determined as the regeneration start time of the sub-regeneration events.

[0095] Figure 5 This is a schematic diagram illustrating the division of sub-regeneration events as provided in an exemplary embodiment. For example... Figure 5 As shown, two regeneration interruption times were identified in this regeneration event: regeneration interruption time H2 (21:26) and regeneration interruption time H4 (21:47). Therefore, regeneration interruption time H2 (21:26) is the regeneration completion time of sub-regeneration event D, and the regeneration start time of sub-regeneration event D is the most recent regeneration start time H1 (21:10) before regeneration interruption time H2 (21:26). Regeneration interruption time H4 (21:47) is the regeneration completion time of sub-regeneration event F, and the regeneration start time of sub-regeneration event F is the most recent regeneration start time H3 (21:35) before regeneration interruption time H4 (21:47). The regeneration start time of this regeneration event is regeneration start time H1 (21:10), and the regeneration completion time of this event is regeneration interruption time H4 (21:47).

[0096] In this embodiment, the above method can reliably and accurately determine the regeneration start time and regeneration completion time of each sub-regeneration event in the regeneration event.

[0097] In yet another embodiment, the method of identifying the period during which regeneration occurs within a specified time period based on operating parameters further includes:

[0098] After determining the time corresponding to the operating parameters that meet the regeneration interruption conditions as the regeneration interruption time, the validity of the regeneration interruption time is judged.

[0099] If the regeneration interruption time is determined to be valid, then the steps of determining the regeneration interruption time as the regeneration completion time of the sub-regeneration event in this regeneration event, and determining whether the operating condition parameters corresponding to the regeneration interruption time meet the regeneration completion conditions are executed.

[0100] Since there may be invalid regeneration periods with poor regeneration effect during the regeneration process of the exhaust purification system, after determining the regeneration interruption time, the validity of the regeneration interruption time can be judged. If the regeneration interruption time is determined to be valid, the regeneration interruption time is determined as the regeneration completion time of the sub-regeneration event in this regeneration event. If the regeneration interruption time is determined to be invalid, it means that this sub-regeneration event is invalid and can be filtered out. Therefore, the invalid regeneration interruption time and the most recent regeneration start time before the invalid regeneration interruption time can be deleted to remove the invalid sub-regeneration event.

[0101] Figure 6 This is a schematic diagram of sub-regeneration event partitioning provided in yet another exemplary embodiment. For example... Figure 6 As shown, when the regeneration interruption time J2 (9:10) is determined, it is determined whether the regeneration interruption time J2 (9:10) is valid. If the regeneration interruption time J2 (9:10) is valid, it is determined as the regeneration completion time of sub-regeneration event X, and the regeneration start time of sub-regeneration event X is the most recent regeneration start time J1 (9:00) before the valid regeneration interruption time J2 (9:10). When the regeneration interruption time J4 (9:30) is determined, it is determined whether the regeneration interruption time J4 (9:30) is valid. If the regeneration interruption time J4 (9:30) is invalid, the invalid regeneration interruption time J4 (9:30) and the most recent regeneration start time J3 (9:15) before the invalid regeneration interruption time J4 (9:30) are deleted to eliminate the invalid sub-regeneration event Z. When the regeneration interruption time J6 (10:00) is determined, it is checked whether the regeneration interruption time J6 (10:00) is valid. If the regeneration interruption time J6 (10:00) is valid, the valid regeneration interruption time J6 (10:00) is determined as the regeneration completion time of sub-regeneration event Y. The regeneration start time of sub-regeneration event Y is the most recent regeneration start time J5 (9:46) before the valid regeneration interruption time J6 (10:00). The regeneration start time of this regeneration event is the regeneration start time J1 (9:00), and the regeneration completion time of this event is the regeneration interruption time J6 (10:00).

[0102] In this embodiment, the above method can effectively filter out invalid regeneration periods in the regeneration events, improve the accuracy of the determined sub-regeneration events, and thus improve the accuracy of the regeneration characteristic parameters within the specified time period.

[0103] In another embodiment, the operating parameters include: the exhaust temperature at the front end of the Selective Catalytic Reduction (SCR) system and the status information of the high exhaust temperature indicator; the above-mentioned determination of the effectiveness of the regeneration interruption time includes:

[0104] If, from the start of regeneration, the operating parameters satisfy any one of the following, then the regeneration interruption time is considered valid:

[0105] The high exhaust temperature indicator light remains illuminated for the duration of the first duration.

[0106] The duration during which the exhaust temperature at the front end of the SCR exceeds the first temperature threshold reaches the second duration;

[0107] The second duration is shorter than the first duration.

[0108] The high exhaust temperature indicator light status information can include whether it is on or off. After determining the regeneration interruption time, if the high exhaust temperature indicator light remains on for a first duration (e.g., 60 seconds) from the start of regeneration, the regeneration effect from the start of regeneration to the interruption time can be considered good, and the regeneration interruption time is deemed valid. If the exhaust temperature at the SCR front end is greater than the first temperature threshold (e.g., 300°C) for a second duration (e.g., 20 seconds), the regeneration effect from the start of regeneration to the interruption time can also be considered good, and the regeneration interruption time is deemed valid.

[0109] In this embodiment, the validity of the regeneration interruption time is determined by comparing the duration for which the high exhaust temperature indicator light is on with a duration threshold, or by comparing the duration for which the exhaust temperature at the front end of the SCR is greater than the temperature threshold with a duration threshold. This simple threshold comparison method is simple and has a fast calculation speed.

[0110] In yet another embodiment, the operating parameters include: engine speed, high exhaust temperature indicator status information, ambient temperature, atmospheric pressure, and coolant temperature.

[0111] The conditions for regeneration to begin include: engine speed greater than the first speed threshold, high exhaust temperature indicator light being on, ambient temperature greater than the second temperature threshold, and atmospheric pressure less than the predetermined pressure threshold.

[0112] Regeneration requires the engine to be running normally, meaning the engine speed must be greater than the first speed threshold (e.g., 500 rpm), and the controller must detect that the regeneration conditions are met and output a DPF indicator light signal (DPF = 1), illuminating the high exhaust temperature indicator light. Ambient temperature and atmospheric pressure are granular parameters designed to analyze regeneration at different temperatures and altitudes, yielding more specific regeneration characteristic parameters and evaluations. Ambient temperature and atmospheric pressure are adjustable parameters and can be set according to actual needs.

[0113] The regeneration interruption conditions include: the engine speed is less than or equal to a first speed threshold, or the engine speed is greater than the first speed threshold and the high exhaust temperature indicator light is off, or the engine speed is less than a second speed threshold for a duration that reaches a third duration. The second speed threshold is less than the first speed threshold.

[0114] Regeneration interruption refers to the state in which the DPF regeneration process stops. It is categorized into two types based on whether the regeneration process is fully completed: temporary interruption and complete regeneration. The criterion is whether all the carbon particles collected within the DPF have been completely processed.

[0115] In the first scenario, when the engine is running normally, if the high exhaust temperature indicator light changes from lit to off, it indicates that the ECU controller has autonomously decided to stop regeneration, and the regeneration process can be considered interrupted.

[0116] In the second scenario, DPF regeneration is forcibly terminated when the engine stops running. If the engine speed is lower than the first speed threshold, such as 500 rpm, it indicates that the user has stopped the engine, causing the regeneration process to lose the prerequisite for continuing, and regeneration can be considered interrupted.

[0117] The third approach involves judging the difference between adjacent timestamps of the engine speed signal. If the difference exceeds a set threshold, it is considered that a state of driver stopping and turning off the engine has occurred. For example, if the engine speed is lower than the second speed threshold for a duration that reaches a third duration (e.g., 2400 seconds), it is considered that a state of driver stopping and turning off the engine has occurred, and the regeneration process is considered to have been interrupted. This method can solve the problem of the cloud platform failing to capture the vehicle's engine shutdown process, resulting in excessive deviations in the regeneration process.

[0118] When a regeneration interruption is detected, it is further determined whether the regeneration interruption is temporary or complete. This can be determined by considering the conditions for regeneration completion, as described below.

[0119] The conditions for regeneration completion include: from the time of regeneration interruption, the duration of the following three conditions must reach a fourth duration:

[0120] The engine speed is greater than the first speed threshold.

[0121] The high exhaust temperature indicator light is off;

[0122] The coolant temperature is greater than the third temperature threshold.

[0123] Among them, the third temperature threshold is greater than the second temperature threshold, and the fourth duration is less than the third duration.

[0124] The prerequisite for successful regeneration is that the carbon particulate matter collected in the DPF has been completely processed. The vehicle will not initiate regeneration again if its condition meets certain criteria; that is, the ECU has the autonomous judgment capability to determine whether to continue the regeneration process before the interruption based on whether the carbon particulate matter collected in the DPF has been completely processed. Therefore, by thoroughly judging the regeneration interruption status, the vehicle's operating status can be used to determine whether the current regeneration process has been completed. When the three conditions—engine speed greater than the first speed threshold, high exhaust temperature indicator light off, and coolant temperature greater than the third temperature threshold—are all met for a duration exceeding the fourth threshold, it indicates that the carbon particulate matter collected in the DPF has been completely processed, and the regeneration process before the interruption will not continue. At this point, regeneration is considered complete.

[0125] The following examples illustrate the conditions for determining the start, interruption, and completion of regeneration. When the engine speed is greater than the first speed threshold (e.g., 500 rpm), the high exhaust temperature indicator is illuminated, the ambient temperature is greater than the second temperature threshold (20°C), and the atmospheric pressure is less than the predetermined pressure threshold (500 hPa), the exhaust purification system can be considered to have started regeneration, and the current moment is determined as the start time of regeneration.

[0126] When the engine speed is less than or equal to the first speed threshold (e.g., 500 rpm), the exhaust purification system regeneration is considered interrupted, and the current moment is determined as the regeneration interruption moment. When the engine speed is greater than the first speed threshold (e.g., 500 rpm) and the high exhaust temperature indicator light is off, the exhaust purification system regeneration is considered interrupted, and the current moment is determined as the regeneration interruption moment. When the engine speed is less than the second speed threshold (e.g., 10 rpm) for a duration that reaches the third duration (e.g., 2400 s), the exhaust purification system regeneration is considered interrupted, and the current moment is determined as the regeneration interruption moment.

[0127] From the moment of regeneration interruption, when the engine speed is greater than the first speed threshold (e.g., 500 rpm) for a continuous period of four hours (e.g., 720 s), the high exhaust temperature indicator light is off for a continuous period of four hours (e.g., 720 s), and the coolant temperature is greater than the third temperature threshold (e.g., 60°C) for a continuous period of four hours (e.g., 720 s), the exhaust purification system can be considered to have completed regeneration, and the moment of regeneration interruption is determined as the moment of regeneration completion.

[0128] In this embodiment, the regeneration start time, regeneration interruption time, and regeneration completion time can be quickly and accurately determined by using the above-mentioned regeneration start condition, regeneration interruption condition, and regeneration completion condition.

[0129] In another embodiment, the regeneration characteristic parameters include at least one of the following: regeneration type, total number of regenerations, single regeneration duration, total regeneration duration, average regeneration duration, effective regeneration duration, single regeneration mileage interval, total regeneration mileage interval, and average regeneration mileage interval.

[0130] The regeneration type of the exhaust purification system can include driving regeneration and parking regeneration. For example, after determining the regeneration completion time, it can be determined whether the vehicle speed is continuously greater than a predetermined speed threshold (e.g., 2 kph) from the start time to the completion time of the current regeneration event. If the vehicle speed is continuously greater than the predetermined speed threshold, the regeneration type is determined to be driving regeneration; if the vehicle speed is not continuously greater than the predetermined speed threshold, the regeneration type is determined to be parking regeneration.

[0131] The total number of regeneration events is the number of regeneration events that occur within a specified time period.

[0132] The duration of a single regeneration event is the sum of the durations of the sub-regeneration events in a single regeneration event.

[0133] The total regeneration time is the sum of the durations of a single regeneration within a specified time period.

[0134] The average regeneration time is the total regeneration time within a specified period divided by the total number of regenerations.

[0135] The single regeneration mileage interval is the distance the vehicle travels between the start time of the current regeneration event and the completion time of the most recent regeneration event.

[0136] The total regeneration interval is the sum of all single regeneration intervals within a specified time period.

[0137] The average regeneration interval is the total regeneration interval within a specified time period divided by the total number of regenerations.

[0138] After determining the regeneration characteristic parameters, the regeneration characteristics of the target vehicle within a specified time period can be analyzed in conjunction with these parameters.

[0139] For example, regeneration characteristics can be analyzed based on the average regeneration duration within a specified time period. For instance, if the average regeneration duration within the specified time period is greater than a predetermined duration threshold (e.g., 30 minutes), it can be determined that the target vehicle's regeneration is stable within the specified time period. If the average regeneration duration within the specified time period is less than the predetermined duration threshold (e.g., 20 minutes), it can be determined that the target vehicle's regeneration is unstable within the specified time period.

[0140] Figure 7 This is a schematic diagram illustrating the correspondence between date and single regeneration duration provided in an exemplary embodiment. For example... Figure 7 As shown, the specified period is from November 20 to December 25. Within the specified period, the single regeneration duration of each regeneration event shows a trend of first increasing, then decreasing, and then stabilizing in the range of 30-40 minutes. The fluctuation of the single regeneration duration within the specified period is small. Therefore, it can be determined that the exhaust purification system of the target vehicle regenerates stably within the specified period.

[0141] For example, the regeneration characteristics can also be analyzed based on the average regeneration mileage interval within a specified time period. For instance, if the average regeneration mileage interval within a specified time period is less than a predetermined mileage threshold (e.g., 2 km), it can be determined that the target vehicle regenerates frequently within the specified time period, and the regeneration efficiency of the exhaust purification system is low.

[0142] For example, after determining the regeneration characteristic parameters, the regeneration characteristic parameters can be stored in a data table, as shown in Table 1 below.

[0143] Table 1

[0144]

[0145] As shown in Table 1, the target vehicles include vehicles P and Q of a specified model. Three regeneration events occurred for the target vehicles within the specified time period. Specifically, vehicle P experienced two regeneration events: one starting at 8:55 and ending at 10:46, which contained four sub-regeneration events, with a single regeneration duration of 29 minutes and a single regeneration mileage interval of 0 km; and another starting at 11:20 and ending at 12:03, which contained two sub-regeneration events, with a single regeneration duration of 43 minutes and a single regeneration mileage interval of 2.8 km. Vehicle Q experienced one regeneration event starting at 13:58 and ending at 14:28, which contained one sub-regeneration event, with a single regeneration duration of 30 minutes and a single regeneration mileage interval of 0 km.

[0146] In this embodiment, the regeneration characteristics of the exhaust purification system can be analyzed from multiple perspectives using the aforementioned regeneration characteristic parameters, providing a flexible approach and a variety of strategies.

[0147] Figure 8 This is a flowchart of a method for analyzing the regenerative characteristics of a vehicle exhaust purification system, provided in yet another exemplary embodiment. Figure 8 The steps in the embodiments are a combination of the steps in the above multiple embodiments, and specifically include the following steps.

[0148] Step S201: Based on the user-inputted regeneration analysis command, obtain the operating parameters of the target vehicle within a specified time period. Then proceed to step S202.

[0149] Step S202: Determine whether the regeneration start conditions are met. If yes, proceed to step 203. For example, the regeneration start conditions include: engine speed greater than 500 rpm, high exhaust temperature indicator light illuminated, ambient temperature greater than 20°C, and atmospheric pressure less than 500 hpa.

[0150] Step S203: Determine the time corresponding to the operating parameters that meet the regeneration start conditions as the regeneration start time. Then proceed to step S204.

[0151] Step S204: Determine whether the regeneration interruption condition is met. If yes, proceed to step S205. For example, the regeneration interruption condition includes: engine speed less than or equal to 500 rpm; or, engine speed greater than 500 rpm and the high exhaust temperature indicator light is off; or, the duration of engine speed less than 10 rpm reaches 2400 s.

[0152] Step S205: Determine the time corresponding to the operating condition parameters that meet the regeneration interruption conditions as the regeneration interruption time. Then proceed to step S206.

[0153] Step S206: Determine whether the regeneration interruption time is valid. If yes, proceed to step S207; otherwise, proceed to step S202. For example, the regeneration interruption conditions include: the high exhaust temperature indicator light being on for 60 seconds from the start of regeneration, or the exhaust temperature at the front end of the SCR being greater than 300°C for 20 seconds.

[0154] Step S207: Determine if the regeneration interruption time is valid. Then proceed to step S208.

[0155] Step S208: Determine whether the regeneration completion conditions are met. If yes, proceed to step S209; otherwise, proceed to step S202. For example, the regeneration completion conditions include: the following three conditions being met for a duration of 720 seconds: engine speed greater than 500 rpm; high exhaust temperature indicator light being off; coolant temperature greater than 60°C.

[0156] Step S209: Determine the regeneration interruption time as the regeneration completion time of this regeneration event. Then execute step S210.

[0157] Step S210: Determine whether the vehicle speed is continuously greater than 2 kph from the start time of regeneration to the completion time of regeneration in this regeneration event. If yes, proceed to step S211; otherwise, proceed to step S212.

[0158] Step S211: Determine the regeneration type of this regeneration event as vehicle regeneration. Then proceed to step S213.

[0159] Step S212: Determine the regeneration type of this regeneration event as parking regeneration. Then proceed to step S213.

[0160] Step S213: Based on the identification results, determine the regeneration characteristic parameters of the exhaust purification system of the target vehicle within a specified time period.

[0161] Based on the same inventive concept, this disclosure also provides a device for analyzing the regenerative characteristics of a vehicle exhaust purification system. Figure 9 This is a block diagram of a vehicle exhaust purification system regeneration characteristic analysis device provided in an exemplary embodiment. (See diagram below.) Figure 9 As shown, the vehicle exhaust purification system regeneration characteristic analysis device 600 includes an acquisition module 601, an identification module 602, and a determination module 603.

[0162] The acquisition module 601 is used to acquire the operating parameters of the target vehicle within a specified time period based on the regeneration analysis command input by the user.

[0163] The identification module 602 is used to identify the period during which regeneration occurs within a specified time period based on the operating parameters.

[0164] The determination module 603 is used to determine the regeneration characteristic parameters of the exhaust purification system of the target vehicle within a specified time period based on the identification results.

[0165] Optionally, the regeneration analysis command is used to instruct the regeneration characteristic analysis of vehicles of a specified model.

[0166] The acquisition module 601 includes a first determination submodule and an acquisition submodule.

[0167] The first determination submodule is used to determine the target vehicle as a vehicle of a specified model according to the regeneration analysis instruction.

[0168] The acquisition submodule is used to obtain the operating parameters of the target vehicle within a specified time period.

[0169] Optionally, the identification module 602 includes a second determining submodule, a third determining submodule, a fourth determining submodule, and a fifth determining submodule.

[0170] The second determination submodule is used to determine the time corresponding to the operating condition parameters that meet the regeneration start conditions as the regeneration start time, starting from the start time of a specified time period, or from the time of completion of the last regeneration event, or from the time of the most recent regeneration interruption.

[0171] The third determining submodule is used to determine the time corresponding to the operating parameters that meet the regeneration interruption conditions, starting from the regeneration start time, as the regeneration interruption time.

[0172] The fourth determination submodule is used to determine whether the operating parameters corresponding to the regeneration interruption time meet the regeneration completion conditions.

[0173] The fifth determination submodule is used to determine the regeneration interruption time as the regeneration completion time of this regeneration event if the operating parameters corresponding to the regeneration interruption time meet the regeneration completion conditions.

[0174] If this regeneration event is the first regeneration event within the specified time period, then the regeneration start time of this regeneration event is the first regeneration start time determined from the start time of the specified time period; if this regeneration event is not the first regeneration event within the specified time period, then the regeneration start time of this regeneration event is the first regeneration start time determined from the completion time of the previous regeneration event.

[0175] Optionally, the identification module 602 may also include a sixth determining submodule.

[0176] The sixth determination submodule is used to determine the regeneration completion time of the sub-regeneration event if at least two regeneration interruption times are determined in this regeneration event. After determining that the time corresponding to the working condition parameter that meets the regeneration interruption condition is the regeneration interruption time, the regeneration interruption time is determined as the regeneration completion time of the sub-regeneration event in this regeneration event. The regeneration start time of the sub-regeneration event is the most recent regeneration start time before the regeneration interruption time.

[0177] Optionally, the identification module 602 may also include a judgment submodule.

[0178] The judgment submodule is used to determine the validity of the regeneration interruption time after determining that the time corresponding to the operating condition parameter that meets the regeneration interruption condition is the regeneration interruption time.

[0179] The sixth determining submodule is used to determine the regeneration interruption time as the regeneration completion time of the sub-regeneration event in this regeneration event when the determining submodule determines that the regeneration interruption time is valid. The fourth determining submodule is used to determine whether the operating parameters corresponding to the regeneration interruption time meet the regeneration completion conditions when the determining submodule determines that the regeneration interruption time is valid.

[0180] Optionally, operating parameters include the exhaust temperature at the front end of the selective catalytic reduction (SCR) system and the status information of the high exhaust temperature indicator light; the judgment submodule is also used for:

[0181] If, from the start of regeneration, the operating parameters satisfy any one of the following, then the regeneration interruption time is considered valid:

[0182] The high exhaust temperature indicator light remains illuminated for the duration of the first duration.

[0183] The duration during which the exhaust temperature at the front end of the SCR exceeds the first temperature threshold reaches the second duration;

[0184] The second duration is shorter than the first duration.

[0185] Optionally, operating parameters include: engine speed, high exhaust temperature indicator status, ambient temperature, atmospheric pressure, and coolant temperature;

[0186] The conditions for regeneration to begin include: engine speed is greater than the first speed threshold, high exhaust temperature indicator light is on, ambient temperature is greater than the second temperature threshold and atmospheric pressure is less than the predetermined pressure threshold.

[0187] The regeneration interruption conditions include: the engine speed is less than or equal to the first speed threshold, or the engine speed is greater than the first speed threshold and the high exhaust temperature indicator is off, or the duration of the engine speed being less than the second speed threshold reaches the third duration.

[0188] The conditions for regeneration completion include: from the time of regeneration interruption, the duration of the following three conditions must reach a fourth duration:

[0189] The engine speed is greater than the first speed threshold.

[0190] The high exhaust temperature indicator light is off;

[0191] The coolant temperature is greater than the third temperature threshold.

[0192] Among them, the second speed threshold is less than the first speed threshold, the third temperature threshold is greater than the second temperature threshold, and the fourth duration is less than the third duration.

[0193] Optionally, the regeneration characteristic parameters include at least one of the following: regeneration type, total number of regenerations, single regeneration duration, total regeneration duration, average regeneration duration, effective regeneration duration, single regeneration mileage interval, total regeneration mileage interval, and average regeneration mileage interval.

[0194] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0195] Through the above technical solution, regardless of whether the target vehicle is in driving or parked state, as long as the user remotely inputs a regeneration analysis command, the analysis of the regeneration characteristics of the target vehicle's exhaust purification system within a specified time period can be triggered. Compared with related technologies that require manual on-site control of the vehicle to enter parking regeneration mode before the regeneration characteristics of the vehicle's exhaust purification system can be analyzed, this reduces the environmental requirements for vehicle regeneration characteristic analysis and saves manpower. Furthermore, after receiving the regeneration analysis command, based on the operating parameters of the target vehicle within the specified time period, the period during which regeneration occurs can be automatically identified without manual analysis. Thus, combining the identification results, the regeneration characteristic parameters of the target vehicle's exhaust purification system within the specified time period can be quickly and accurately determined, thereby improving the analysis efficiency in the process of analyzing the regeneration characteristics of the target vehicle's exhaust purification system, further saving manpower, and making the analysis method more intelligent.

[0196] This disclosure also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method for analyzing the regeneration characteristics of a vehicle exhaust purification system.

[0197] This disclosure also provides an electronic device, including:

[0198] A memory on which computer programs are stored;

[0199] A processor is used to execute a computer program in memory to implement the steps of the above-described method for analyzing the regeneration characteristics of a vehicle exhaust purification system.

[0200] This disclosure also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-described method for analyzing the regenerative characteristics of a vehicle exhaust purification system.

[0201] Figure 10 This is a block diagram illustrating an electronic device according to an exemplary embodiment. For example, electronic device 1900 may be provided as a server. (Refer to...) Figure 10 The electronic device 1900 includes a processor 1922, which may be one or more, and a memory 1932 for storing computer programs executable by the processor 1922. The computer program stored in the memory 1932 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processor 1922 may be configured to execute the computer program to perform the aforementioned method for analyzing the regenerative characteristics of a vehicle exhaust purification system.

[0202] Additionally, the electronic device 1900 may also include a power supply component 1926 and a communication component 1950. The power supply component 1926 can be configured to perform power management of the electronic device 1900, and the communication component 1950 can be configured to enable communication of the electronic device 1900, such as wired or wireless communication. Furthermore, the electronic device 1900 may also include an input / output (I / O) interface 1958. The electronic device 1900 can operate on an operating system stored in memory 1932.

[0203] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, which, when executed by a processor, implement the steps of the vehicle exhaust purification system regenerative characteristic analysis method described above. For example, the non-transitory computer-readable storage medium may be the memory 1932 including the program instructions described above, which may be executed by the processor 1922 of the electronic device 1900 to complete the vehicle exhaust purification system regenerative characteristic analysis method described above.

[0204] In another exemplary embodiment, a computer program product is also provided, comprising a computer program executable by a programmable device, the computer program having a code portion for performing the above-described vehicle exhaust purification system regeneration characteristic analysis method when executed by the programmable device.

[0205] The preferred embodiments of this disclosure have been described in detail above with reference to the accompanying drawings. However, this disclosure is not limited to the specific details of the above embodiments. Within the scope of the technical concept of this disclosure, various simple modifications can be made to the technical solutions of this disclosure, and these simple modifications all fall within the protection scope of this disclosure.

[0206] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, this disclosure will not describe the various possible combinations separately.

[0207] Furthermore, various different embodiments of this disclosure can be combined in any way, as long as they do not violate the spirit of this disclosure, they should also be regarded as the content disclosed in this disclosure.

Claims

1. A method for analyzing the regeneration characteristics of a vehicle exhaust purification system, characterized in that, The method includes: Based on the user-inputted regeneration analysis command, obtain the target vehicle's operating parameters within a specified time period; Based on the operating parameters, identify the time periods during which regeneration occurs within the specified time period; Based on the identification results, the regeneration characteristic parameters of the exhaust purification system of the target vehicle during the specified time period are determined; The step of identifying the time period during which regeneration occurs within the specified time period based on the operating condition parameters includes: The time corresponding to the operating condition parameter that satisfies the regeneration start condition is determined as the regeneration start time, starting from the start time of the specified time period, or from the time of the completion of the last regeneration event, or from the time of the most recent regeneration interruption. Starting from the regeneration start time, the time corresponding to the operating condition parameters that meet the regeneration interruption conditions is determined as the regeneration interruption time; Determine whether the operating parameters corresponding to the regeneration interruption time meet the regeneration completion conditions; If the operating parameters corresponding to the regeneration interruption time satisfy the regeneration completion condition, the regeneration interruption time is determined as the regeneration completion time of this regeneration event, wherein: If the current regeneration event is the first regeneration event within the specified time period, then the regeneration start time of the current regeneration event is the first regeneration start time determined from the start time of the specified time period; if the current regeneration event is not the first regeneration event within the specified time period, then the regeneration start time of the current regeneration event is the first regeneration start time determined from the regeneration completion time of the previous regeneration event. If at least two regeneration interruption times are determined in this regeneration event, then after determining the time corresponding to the working condition parameter that satisfies the regeneration interruption condition as the regeneration interruption time, the regeneration interruption time is determined as the regeneration completion time of the sub-regeneration event in this regeneration event, wherein the regeneration start time of the sub-regeneration event is the most recent regeneration start time before the regeneration interruption time. After determining the time corresponding to the operating parameters that meet the regeneration interruption conditions as the regeneration interruption time, the validity of the regeneration interruption time is judged. If the regeneration interruption time is determined to be valid, then the steps of determining the regeneration interruption time as the regeneration completion time of the sub-regeneration event in this regeneration event and determining whether the operating condition parameters corresponding to the regeneration interruption time meet the regeneration completion conditions are executed.

2. The method according to claim 1, characterized in that, The regeneration analysis command is used to instruct the regeneration characteristic analysis of a specified vehicle model; The step of obtaining the target vehicle's operating parameters within a specified time period based on the user-inputted regeneration analysis command includes: According to the regeneration analysis instruction, the vehicle with the specified model is identified as the target vehicle; Obtain the operating parameters of the target vehicle during the specified time period.

3. The method according to claim 1, characterized in that, The operating parameters include: the exhaust temperature at the front end of the selective catalytic reduction (SCR) system and the status information of the high exhaust temperature indicator light; the determination of the validity of the regeneration interruption time includes: If, from the start of regeneration, the operating parameters satisfy any one of the following, then the regeneration interruption time is deemed valid: The high exhaust temperature indicator light remains illuminated for a duration of the first duration. The duration during which the exhaust temperature at the front end of the SCR is greater than the first temperature threshold reaches the second duration; The second duration is shorter than the first duration.

4. The method according to claim 1, characterized in that, The operating parameters include: engine speed, high exhaust temperature indicator status, ambient temperature, atmospheric pressure, and coolant temperature; The regeneration start conditions include: the engine speed is greater than a first speed threshold, the high exhaust temperature indicator is lit, the ambient temperature is greater than a second temperature threshold, and the atmospheric pressure is less than a predetermined pressure threshold. The regeneration interruption conditions include: the engine speed is less than or equal to the first speed threshold, or the engine speed is greater than the first speed threshold and the high exhaust temperature indicator is off, or the duration of the engine speed being less than the second speed threshold reaches a third duration. The regeneration completion condition includes: from the time of regeneration interruption, the operating parameters satisfying the following three conditions for a duration of a fourth duration: The engine speed is greater than the first speed threshold. The high exhaust temperature indicator light is off. The coolant temperature is greater than the third temperature threshold. Wherein, the second rotational speed threshold is less than the first rotational speed threshold, the third temperature threshold is greater than the second temperature threshold, and the fourth duration is less than the third duration.

5. The method according to any one of claims 1-4, characterized in that, The regeneration characteristic parameters include at least one of the following: regeneration type, total number of regenerations, single regeneration duration, total regeneration duration, average regeneration duration, effective regeneration duration, single regeneration mileage interval, total regeneration mileage interval, and average regeneration mileage interval.

6. A device for analyzing the regeneration characteristics of a vehicle exhaust purification system, characterized in that, The device includes: The acquisition module is used to obtain the operating parameters of the target vehicle within a specified time period based on the regeneration analysis command input by the user. The identification module is used to identify the time period during which regeneration occurs within the specified time period based on the operating condition parameters; The determination module is used to determine the regeneration characteristic parameters of the exhaust purification system of the target vehicle during the specified time period based on the identification results. The identification module includes: The second determining submodule is used to determine the time corresponding to the working condition parameter that meets the regeneration start condition as the regeneration start time, starting from the start time of the specified time period, or from the regeneration completion time of the last regeneration event, or from the most recent regeneration interruption time. The third determining submodule is used to determine, from the regeneration start time, the time corresponding to the operating condition parameters that meet the regeneration interruption conditions as the regeneration interruption time; The fourth determining submodule is used to determine whether the operating condition parameters corresponding to the regeneration interruption time meet the regeneration completion conditions; The fifth determining submodule is used to determine the regeneration interruption time as the regeneration completion time of this regeneration event if the operating condition parameters corresponding to the regeneration interruption time meet the regeneration completion condition, wherein: If the current regeneration event is the first regeneration event within the specified time period, then the regeneration start time of the current regeneration event is the first regeneration start time determined from the start time of the specified time period; if the current regeneration event is not the first regeneration event within the specified time period, then the regeneration start time of the current regeneration event is the first regeneration start time determined from the regeneration completion time of the previous regeneration event. The sixth determination submodule is used to determine the regeneration completion time of the sub-regeneration event in this regeneration event after determining the time corresponding to the working condition parameter that satisfies the regeneration interruption condition as the regeneration interruption time, if at least two regeneration interruption times are determined in this regeneration event. The regeneration start time of the sub-regeneration event is the most recent regeneration start time before the regeneration interruption time. The judgment submodule is used to determine the validity of the regeneration interruption time after determining that the time corresponding to the working condition parameter that meets the regeneration interruption condition is the regeneration interruption time. The sixth determining submodule is further configured to perform the operation of determining the regeneration interruption time as the regeneration completion time of the sub-regeneration event in this regeneration event when it is determined that the regeneration interruption time determined by the submodule is valid; The fourth determining submodule is further configured to perform the operation of determining whether the operating condition parameters corresponding to the regeneration interruption time meet the regeneration completion conditions when the determining submodule determines that the regeneration interruption time is valid.

7. An electronic device, characterized in that, include: A memory on which computer programs are stored; A processor for executing the computer program in the memory to implement the steps of the method according to any one of claims 1-5.

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