Vehicle exhaust purification system regeneration characteristic analysis method and device and electronic equipment

Abstract

The invention relates to a regeneration characteristic analysis method and device for a vehicle exhaust purification system and electronic equipment. The method comprises the steps that according to a regeneration analysis instruction input by a user, working condition parameters of a target vehicle in a specified time period are obtained; according to the working condition parameters, identifying a regeneration time period in the specified time period; and according to the recognition result, regeneration characteristic parameters of the exhaust purification system of the target vehicle in the specified time period are determined. The working condition parameters of the vehicle are automatically uploaded under the daily working condition of the vehicle, and after the regeneration analysis instruction input by the user is received, the working condition parameters of the vehicle do not need to be manually collected, and the working condition parameters of the target vehicle in the specified time period can be obtained. The regeneration characteristic parameters can visually reflect the regeneration characteristics of the exhaust purification system in a specified time period. Therefore, the regeneration characteristics of the exhaust purification system can be quickly and accurately remotely analyzed by utilizing the determined regeneration characteristic parameters, and manpower is saved.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the field of vehicles, in particular to a method and device for analyzing regeneration characteristics of a vehicle exhaust purification system and an electronic device. BACKGROUND

[0002] Currently, the requirements for vehicle exhaust emissions are becoming more and more stringent. The exhaust purification system of a vehicle is used to purify the exhaust gas of the engine of the vehicle, reduce the emission pollution of the vehicle, and control the emission of harmful substances in the exhaust gas. During the working process of the exhaust purification system, particulate matter will accumulate inside the system. When the particulate matter accumulates to a certain extent, it will affect the purification effect of the exhaust purification system. Therefore, the exhaust purification system needs to remove the accumulated particulate matter through self-regeneration. Analyzing the regeneration characteristics of the exhaust purification system can help the staff to understand the regeneration effect of the exhaust purification system in a timely manner.

[0003] In related technologies, the vehicle is manually controlled to enter a parking regeneration mode, and the working condition parameters during the parking regeneration process are manually collected and the regeneration characteristics of the exhaust purification system are analyzed. The manual cost is high and the efficiency is low. SUMMARY

[0004] The purpose of the present disclosure is to provide a method and device for analyzing regeneration characteristics of a vehicle exhaust purification system. The method can remotely analyze the regeneration characteristics of the vehicle exhaust purification system, without the need for manual on-site collection of vehicle working condition parameters and regeneration characteristic analysis of the exhaust purification system.

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

[0006] According to a regeneration analysis instruction input by a user, obtaining working condition parameters of a target vehicle within a specified period;

[0007] According to the working condition parameters, identifying a period in which regeneration occurs within the specified period;

[0008] According to the identification result, determining a regeneration characteristic parameter of the exhaust purification system of the target vehicle within the specified period.

[0009] Optionally, the regeneration analysis instruction is used to instruct to analyze the regeneration characteristics of a vehicle of a specified vehicle type;

[0010] According to the regeneration analysis instruction input by the user, the working condition parameters of the target vehicle within the specified period include:

[0011] According to the regeneration analysis instruction, the vehicle whose vehicle type is the specified vehicle type is determined as the target vehicle;

[0012] acquire a working condition parameter of the target vehicle in the specified period.

[0013] Optionally, the identifying the period in which the regeneration occurs in the specified period according to the working condition parameter comprises:

[0014] determining, from a starting time of the specified period, or from a regeneration completion time of a last regeneration event, or from a last regeneration interruption time, a time corresponding to the working condition parameter satisfying a regeneration start condition as a regeneration start time;

[0015] determining, from the regeneration start time, a time corresponding to the working condition parameter satisfying a regeneration interruption condition as a regeneration interruption time;

[0016] determining whether the working condition parameter corresponding to the regeneration interruption time satisfies a regeneration completion condition;

[0017] if the working condition parameter corresponding to the regeneration interruption time satisfies the regeneration completion condition, determining the regeneration interruption time as a regeneration completion time of the current regeneration event, wherein:

[0018] if the current regeneration event is a first regeneration event in the specified period, the regeneration start time of the current regeneration event is a first regeneration start time determined from the starting time of the specified period; if the current regeneration event is not the first regeneration event in the specified period, the regeneration start time of the current regeneration event is a first regeneration start time determined from the regeneration completion time of a last regeneration event.

[0019] Optionally, the identifying the period in which the regeneration occurs in the specified period according to the working condition parameter further comprises:

[0020] if at least two regeneration interruption times are determined in the current regeneration event, after determining that the time corresponding to the working condition parameter satisfying the regeneration interruption condition is the regeneration interruption time, determining the regeneration interruption time as a regeneration completion time of a sub-regeneration event in the current regeneration event, wherein the regeneration start time of the sub-regeneration event is a last regeneration start time before the regeneration interruption time.

[0021] Optionally, the identifying the period in which the regeneration occurs in the specified period according to the working condition parameter further comprises:

[0022] after determining that the time corresponding to the working condition parameter satisfying the regeneration interruption condition is the regeneration interruption time, performing validity judgment on the regeneration interruption time;

[0023] If it is determined that the regeneration interruption moment is valid, the step of determining the regeneration interruption moment as the regeneration completion moment of the sub-regeneration event in the current regeneration event is re-executed, and the step of determining whether the working condition parameter corresponding to the regeneration interruption moment meets the regeneration completion condition is re-executed.

[0024] Optionally, the working condition parameter includes: an exhaust temperature before a selective catalytic reduction system (SCR) and state information of a high exhaust temperature indicator; the validity of the regeneration interruption moment is determined by:

[0025] If the working condition parameter meets any one of the following conditions from the regeneration start moment, it is determined that the regeneration interruption moment is valid:

[0026] The duration of the high exhaust temperature indicator in the on state reaches a first duration;

[0027] The duration of the exhaust temperature before the SCR being greater than a first temperature threshold reaches a second duration;

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

[0029] Optionally, the working condition parameter includes: an engine speed, state information of a high exhaust temperature indicator, an ambient temperature, an atmospheric pressure, and a coolant temperature;

[0030] The regeneration start condition includes: the engine speed is greater than a first speed threshold, the high exhaust temperature indicator is in the on state, 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 condition includes: 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 in the off state, or the duration of the engine speed being less than a second speed threshold reaches a third duration;

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

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

[0034] The high exhaust temperature indicator is in the off state;

[0035] The coolant temperature is greater than a third temperature threshold;

[0036] 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.

[0037] Optionally, the regeneration characteristic parameter comprises at least one of the following: a regeneration type, a total regeneration number, a single regeneration duration, a total regeneration duration, an average regeneration duration, an effective regeneration duration, a single regeneration mileage interval, a total regeneration mileage interval, and an average regeneration mileage interval.

[0038] The present disclosure also provides a vehicle exhaust purification system regeneration characteristic analysis device, comprising:

[0039] An acquisition module is configured to acquire working condition parameters of a target vehicle within a specified period according to a regeneration analysis instruction input by a user.

[0040] An identification module is configured to identify a period of regeneration within the specified period according to the working condition parameters.

[0041] A determination module is configured to determine a regeneration characteristic parameter of an exhaust purification system of the target vehicle within the specified period according to the identification result.

[0042] The present disclosure also provides an electronic device, comprising:

[0043] A memory having a computer program stored thereon;

[0044] A processor configured to execute the computer program in the memory to implement the steps of the vehicle exhaust purification system regeneration characteristic analysis method described above.

[0045] With the above technical solution, whether the target vehicle is in a driving state or a parking state, as long as the user inputs a regeneration analysis instruction remotely, the regeneration characteristic of the exhaust purification system of the target vehicle within a specified period can be analyzed, which reduces the environmental requirements for analyzing the regeneration characteristic of the vehicle and saves manpower compared with the related art in which the regeneration characteristic of the exhaust purification system of the vehicle can be analyzed only after the vehicle is manually controlled to enter a parking regeneration mode. Moreover, after receiving the regeneration analysis instruction, the period of regeneration within the specified period can be automatically identified according to the working condition parameters of the target vehicle within the specified period without manual analysis, so that the regeneration characteristic parameter of the exhaust purification system of the target vehicle within the specified period can be quickly and accurately determined in combination with the identification result, thereby improving the analysis efficiency during the analysis of the regeneration characteristic of the exhaust purification system of the target vehicle and further saving manpower, and the analysis method is more intelligent.

[0046] Other features and advantages of the present disclosure will be described in detail in the following detailed description section. BRIEF DESCRIPTION OF DRAWINGS

[0047] The accompanying drawings are included to provide a further understanding of the present disclosure and constitute a part of the specification, which together with the following detailed description, serve to explain the present disclosure. In the drawings:

[0048] Figure 1 is a schematic diagram of an implementation environment according to an example embodiment.

[0049] Figure 2 is a flowchart of a method for analyzing regeneration characteristics of a vehicle exhaust purification system according to an example embodiment.

[0050] Figure 3 is a signaling diagram of a method for analyzing regeneration characteristics of a vehicle exhaust purification system according to an example embodiment.

[0051] Figure 4 is a schematic diagram of dividing a regeneration event according to an example embodiment.

[0052] Figure 5 is a schematic diagram of dividing a sub-regeneration event according to an example embodiment.

[0053] Figure 6 is a schematic diagram of dividing a sub-regeneration event according to another example embodiment.

[0054] Figure 7 is a schematic diagram of a correspondence between a date and a single regeneration duration according to an example embodiment.

[0055] Figure 8 is a flowchart of a method for analyzing regeneration characteristics of a vehicle exhaust purification system according to another example embodiment.

[0056] Figure 9 is a block diagram of an apparatus for analyzing regeneration characteristics of a vehicle exhaust purification system according to an example embodiment.

[0057] Figure 10 is a block diagram of an electronic device according to an example embodiment. DETAILED DESCRIPTION

[0058] The specific embodiments of the present disclosure will be described below in detail with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely intended to illustrate and explain the present disclosure, and are not intended to limit the present disclosure.

[0059] It should be noted that all actions of acquiring signals, information or data in the present disclosure are performed in compliance with the corresponding data protection regulations and policies of the country where the device is located, and with the authorization of the owner of the corresponding device.

[0060] Figure 1is a schematic diagram of an implementation environment according to an exemplary embodiment. The implementation environment can include a first vehicle 110, a second vehicle 120, a third vehicle 130, a telematics service provider (TSP) cloud platform 140, and a data analysis platform 150. Among them, the first vehicle 110 and the TSP cloud platform 140, the second vehicle 120 and the TSP cloud platform 140, the third vehicle 130 and the TSP cloud platform 140, and the TSP cloud platform 140 and the data analysis platform 150 can communicate through various wired or wireless means, for example, can include but not limited to: 4G network, 5G network, WiFi, etc.

[0061] The first vehicle 110, the second vehicle 120 and the third vehicle 130 respectively send the working condition parameters in the daily working condition to the TSP cloud platform 140 through their own telematics-box (T-BOX) for storage, and the data analysis platform 150 obtains the working condition parameters from the TSP cloud platform 140 after receiving the regeneration analysis instruction. In an implementation mode, the data analysis platform 150 and the TSP cloud platform 140 can be independent devices, for example, both are servers, such as Figure 1 indicated. And in other implementation modes, the data analysis platform 150 can be integrated in the form of software on the TSP cloud platform 140. After the data analysis platform 150 obtains the working condition parameters, the vehicle exhaust purification system regeneration characteristic analysis is carried out through computer software.

[0062] The vehicle exhaust purification system regeneration characteristic analysis method provided by the present disclosure can be applied to the data analysis platform 150.

[0063] Figure 2 is a flowchart of a vehicle exhaust purification system regeneration characteristic analysis method provided by an exemplary embodiment. As Figure 2 indicated, the method includes the following steps.

[0064] In step S101, according to the regeneration analysis instruction input by the user, the working condition parameters of the target vehicle in the specified period are obtained.

[0065] The regeneration analysis instruction can be input by the user. Exemplarily, a dialog box "Do you want to perform regeneration analysis?" can be controlled to output on the computer display screen. The user can send the regeneration analysis instruction by clicking the "Yes" button through the mouse or the keyboard (such as the enter key). The target vehicle and the specified period can be pre-set by the user, for example, a vehicle selection dialog box and a period selection dialog box can be displayed on the computer display screen, and the user can select the target vehicle and the specified period through the mouse. The target vehicle can be a single vehicle, and the data analysis platform can obtain the working condition parameters of the target vehicle in the specified period after receiving the regeneration analysis instruction.

[0066] Figure 3 This is a signaling diagram of a vehicle exhaust purification system regeneration characteristic analysis method provided in an exemplary embodiment. (See diagram below.) 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 3The data analysis platform can send the regeneration characteristic parameters to the storage unit through the Kafka message queue after determining the regeneration characteristic parameters of the target vehicle in the specified period. The regeneration characteristic parameters can be stored in the storage unit in the form of a data table.

[0073] According to the technical solution, the regeneration characteristic of the exhaust purification system of the target vehicle in the specified period can be analyzed as long as the user inputs the regeneration analysis instruction remotely, regardless of whether the target vehicle is in a driving state or a parking state. Compared with the related art in which the regeneration characteristic of the exhaust purification system of the vehicle can be analyzed only after the vehicle is manually controlled to enter the parking regeneration mode, the environmental requirement for analyzing the regeneration characteristic of the vehicle is reduced, and manpower is saved. Moreover, after receiving the regeneration analysis instruction, the time period in which regeneration occurs in the specified period can be automatically identified according to the working condition parameters of the target vehicle in the specified period without manual analysis. Thus, the regeneration characteristic parameters of the exhaust purification system of the target vehicle in the specified period can be quickly and accurately determined in combination with the identification result, the analysis efficiency in the process of analyzing the regeneration characteristic of the exhaust purification system of the target vehicle is improved, further manpower is saved, and the analysis method is more intelligent.

[0074] In yet another embodiment, the regeneration analysis instruction is used to instruct to analyze the regeneration characteristic of a vehicle of a specified vehicle type;

[0075] The working condition parameters of the target vehicle in the specified period are obtained according to the regeneration analysis instruction, including:

[0076] According to the regeneration analysis instruction, the vehicle of the specified vehicle type is determined as the target vehicle;

[0077] The working condition parameters of the target vehicle in the specified period are obtained.

[0078] The target vehicle can be a plurality of vehicles of the same vehicle type. The exhaust purification systems of the vehicles of the same vehicle type are of the same model, and thus the regeneration characteristic of the exhaust purification systems of the plurality of vehicles of the specified vehicle type can be analyzed in batches.

[0079] The specified vehicle type and the specified period can be preset by the user. For example, a vehicle type selection dialog box and a period selection dialog box can be displayed on a computer display screen, the user can select the specified vehicle type and the specified period by using a mouse, and the data analysis platform can determine a plurality of vehicles of the specified vehicle type as the target vehicle according to the regeneration analysis instruction after receiving the regeneration analysis instruction.

[0080] In the embodiment, the vehicle of the specified vehicle type is determined as the target vehicle, and by obtaining the working condition parameters of the target vehicle in the specified period, the regeneration characteristics of the exhaust purification system of multiple vehicles of the same vehicle type can be analyzed in batches, and the analysis efficiency is improved.

[0081] In yet another embodiment, the time period in which regeneration occurs in the specified period is identified according to the working condition parameters, comprising:

[0082] From the start time of the specified period, or from the regeneration completion time of the last regeneration event, or from the last regeneration interruption time, the time corresponding to the working condition parameters that meet the regeneration start condition is determined as the regeneration start time;

[0083] From the regeneration start time, the time corresponding to the working condition parameters that meet the regeneration interruption condition is determined as the regeneration interruption time;

[0084] It is determined whether the working condition parameters corresponding to the regeneration interruption time meet the regeneration completion condition;

[0085] If the working condition parameters corresponding to the regeneration interruption time meet the regeneration completion condition, the regeneration interruption time is determined as the regeneration completion time of the current regeneration event, wherein:

[0086] If the current regeneration event is the first regeneration event in the specified period, the regeneration start time of the current regeneration event is the first regeneration start time determined from the start time of the specified period; if the current regeneration event is not the first regeneration event in the specified period, the regeneration start time of the current regeneration event is the first regeneration start time determined from the regeneration completion time of the last regeneration event.

[0087] The specified period can include one or more regeneration events, and the regeneration event can be the first regeneration event in the specified period or not. Therefore, the regeneration start time can be determined from the start time of the specified period, or from the regeneration completion time of the last regeneration event. Moreover, if the working condition parameters corresponding to the determined regeneration interruption time do not meet the regeneration completion condition, it indicates that the regeneration event has not ended, and it is necessary to continue to determine whether the regeneration starts, i.e., the regeneration start time can also be determined from the last regeneration interruption time.

[0088] When the regeneration interruption time is determined, the current regeneration event can have ended or the current regeneration event can have regeneration interruption, and therefore it is necessary to determine whether the working condition parameters corresponding to the regeneration interruption time meet the regeneration completion condition. If it is determined that the working condition parameters corresponding to the regeneration interruption time meet the regeneration completion condition, the regeneration interruption time can be determined as the regeneration completion time of the current regeneration event. If it is determined that the working condition parameters corresponding to the regeneration interruption time do not meet the regeneration completion condition, the regeneration start time can be continuously 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 regeneration period 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 yet another embodiment, the working condition parameters include: a temperature of exhaust gas before a selective catalytic reduction (SCR) system and a high temperature indicator light state information; and the validity of the regeneration interruption time is determined by:

[0104] If the working condition parameters satisfy any one of the following conditions from the regeneration start time, the regeneration interruption time is determined to be valid:

[0105] a duration of the high temperature indicator light in the on state reaches a first duration;

[0106] a duration of the temperature of exhaust gas before the SCR system being greater than a first temperature threshold reaches a second duration;

[0107] wherein the second duration is less than the first duration.

[0108] The high temperature indicator light state information can include an on state and an off state. After the regeneration interruption time is determined, if the duration of the high temperature indicator light in the on state reaches the first duration (e.g., 60 s) from the regeneration start time, it can be considered that the regeneration effect from the regeneration start time to the regeneration interruption time is good, and the regeneration interruption time is determined to be valid. If the duration of the temperature of exhaust gas before the SCR system being greater than the first temperature threshold (e.g., 300 °C) reaches the second duration (e.g., 20 s), it can also be considered that the regeneration effect from the regeneration start time to the regeneration interruption time is good, and the regeneration interruption time is determined to be valid.

[0109] In this embodiment, by comparing the duration of the high temperature indicator light in the on state with the duration threshold, or comparing the duration of the temperature of exhaust gas before the SCR system being greater than the temperature threshold with the duration threshold, a simple threshold comparison is used to determine whether the regeneration interruption time is valid, which is simple and fast in operation.

[0110] In yet another embodiment, the working condition parameters include: an engine speed, a high temperature indicator light state information, an ambient temperature, an atmospheric pressure, and a coolant temperature;

[0111] The regeneration start condition includes: the engine speed being greater than a first speed threshold, the high temperature indicator light being in the on state, the ambient temperature being greater than a second temperature threshold, and the atmospheric pressure being less than a predetermined pressure threshold.

[0112] The precondition of regeneration is that the engine is running normally, i.e., the engine speed is greater than a first speed threshold (e.g., 500 rpm), and the controller detects that the regeneration condition is met and outputs a DPF indicator light on signal, i.e., DPF = 1, so that the high exhaust temperature indicator light is in an on state. The ambient temperature and atmospheric pressure are sub-parameters, which are intended to analyze the regeneration conditions at different temperatures and altitudes, and obtain more specific regeneration characteristic parameters and regeneration evaluation. The ambient temperature and atmospheric pressure are adjustable parameters, which can be set according to actual needs.

[0113] 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 light is in an off state, or the duration of the engine speed being less than a second speed threshold reaches a third duration. The second speed threshold is less than the first speed threshold.

[0114] Regeneration interruption refers to a state in which the DPF regeneration action stops. According to whether the regeneration action is completely completed, it is divided into two types of temporary interruption and regeneration completion, with the complete treatment of the carbon particulate matter collected in the DPF as the evaluation standard.

[0115] The first case is that when the engine is running normally, if the high exhaust temperature indicator light changes from the on state to the off state, at this time, the ECU controller autonomously judges to exit the regeneration, and it can be considered that the regeneration has been interrupted.

[0116] The second case is that when the engine is stopped, the DPF regeneration is forced to exit. If the engine speed is less than the first speed threshold, e.g., 500 rpm, it indicates that the user stops the engine and turns off the engine, which causes the regeneration process to lose the precondition for continuing, and it can be considered that the regeneration has been interrupted.

[0117] The third case is to judge the difference between the adjacent time stamps of the engine speed signal, and if it exceeds the set threshold, it is considered that the driver has stopped the engine and turned off the engine. For example, when the duration of the engine speed being less than the second speed threshold reaches the third duration (e.g., 2400 s), it is considered that the driver has stopped the engine and turned off the engine, and it is considered that the regeneration has been interrupted. This way can solve the problem that the cloud platform data does not capture the engine off process, thereby causing the regeneration process to deviate too much.

[0118] When it is judged that the regeneration interruption occurs, it is further judged whether the regeneration interruption belongs to temporary interruption or regeneration completion, which can be judged in combination with the regeneration completion condition, as described below.

[0119] The regeneration completion condition includes that the duration of the following three conditions since the regeneration interruption time reaches a fourth duration:

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

[0121] the high-temperature indicator is off;

[0122] the coolant temperature is greater than a third temperature threshold;

[0123] The third temperature threshold is greater than the second temperature threshold, and the fourth time length is less than the third time length.

[0124] The precondition for completing the regeneration is whether the carbon particulate collected in the DPF is completely processed. The vehicle state is a specific state that does not initiate the regeneration action again, that is, the ECU has the autonomous judgment capability, and can judge whether to continue the regeneration action before the interruption according to whether the carbon particulate collected in the DPF is completely processed. Therefore, by deeply judging the regeneration interruption state, whether the vehicle has completed the current regeneration action can be judged according to the running state of the vehicle. When the three conditions that the engine speed is greater than the first speed threshold, the high-temperature indicator is off, and the coolant temperature is greater than the third temperature threshold are all met for a duration of the fourth time length, it is indicated that the carbon particulate collected in the DPF is completely processed, and the regeneration action before the interruption will not be continued. At this time, it is considered that the regeneration is completed.

[0125] The following illustrates the judgment conditions of the regeneration start, regeneration interruption, and regeneration completion. When the engine speed is greater than the first speed threshold (for example, 500 rpm), the high-temperature indicator is on, the ambient temperature is greater than the second temperature threshold (20℃), and the atmospheric pressure is less than a predetermined pressure threshold (500 hpa), it can be considered that the exhaust purification system starts regeneration, and the current time is determined as the regeneration start time.

[0126] When the engine speed is less than or equal to the first speed threshold (for example, 500 rpm), it can be considered that the exhaust purification system interrupts regeneration, and the current time is determined as the regeneration interruption time. When the engine speed is greater than the first speed threshold (for example, 500 rpm) and the high-temperature indicator is off, it can be considered that the exhaust purification system interrupts regeneration, and the current time is determined as the regeneration interruption time. When the engine speed is less than the second speed threshold (for example, 10 rpm) for a duration of the third time length (for example, 2400 s), it can be considered that the exhaust purification system interrupts regeneration, and the current time is determined as the regeneration interruption time.

[0127] From the regeneration interruption time, when the engine speed is greater than the first speed threshold (for example, 500 rpm) for a duration of the fourth time length (for example, 720 s), the high-temperature indicator is off for a duration of the fourth time length (for example, 720 s), and the coolant temperature is greater than the third temperature threshold (for example, 60℃) for a duration of the fourth time length (for example, 720 s), it can be considered that the exhaust purification system completes regeneration, and the regeneration interruption time is determined as the regeneration completion time.

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

[0129] In yet another embodiment, the regeneration characteristic parameter comprises at least one of: a regeneration type, a total regeneration number, a single regeneration duration, a total regeneration duration, an average regeneration duration, an effective regeneration duration, a single regeneration mileage interval, a total regeneration mileage interval, an average regeneration mileage interval.

[0130] The regeneration type of the exhaust purification system can comprise on-road regeneration and off-road regeneration. Illustratively, after determining the regeneration completion time, it can be judged whether the vehicle speed is continuously greater than a predetermined speed threshold (e.g. 2 kph) from the regeneration start time to the regeneration 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 on-road regeneration. If the vehicle speed is not continuously greater than the predetermined speed threshold, the regeneration type is determined to be off-road regeneration.

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

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

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

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

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

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

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

[0138] After determining the regeneration characteristic parameter, the regeneration characteristic of the target vehicle within a specified period can be analyzed in combination with the regeneration characteristic parameter.

[0139] Illustratively, the regeneration characteristic can be analyzed according to the average regeneration duration within a specified period. For example, if the average regeneration duration within a specified period is greater than a predetermined duration threshold (e.g. 30 min), it can be determined that the regeneration of the target vehicle within the specified period is stable. If the average regeneration duration within a specified period is less than a predetermined duration threshold (e.g. 20 min), it can be determined that the regeneration of the target vehicle within the specified period is unstable.

[0140] Figure 7 is a schematic diagram of the correspondence between the date and the single regeneration duration provided by an example embodiment. As shown, the specified period is from November 20 to December 25, and in the specified period, the single regeneration duration of each regeneration event has a trend of first increasing, then decreasing, and then tending to be stable in the interval of 30min-40min. The single regeneration duration in the specified period fluctuates less, and thus it can be determined that the exhaust purification system of the target vehicle is stable in regeneration in the specified period. Figure 7

[0141] Exemplarily, the regeneration characteristics can also be analyzed according to the average regeneration mileage interval in the specified period. For example, if the average regeneration mileage interval in the specified period is less than a predetermined mileage threshold (for example, 2km), it can be determined that the regeneration of the target vehicle in the specified period is frequent, and the regeneration efficiency of the exhaust purification system is low.

[0142] Exemplarily, 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 vehicle includes vehicle P and vehicle Q of a specified vehicle model. Three regeneration events occurred in the target vehicle in the specified period. Among them, vehicle P occurred twice, the regeneration start time was 8:55, the regeneration completion time was 10:46, 4 sub-regeneration events occurred in the regeneration event, the single regeneration duration was 29min, and the single regeneration mileage interval was 0km. The regeneration start time was 11:20, the regeneration completion time was 12:03, 2 sub-regeneration events occurred in the regeneration event, the single regeneration duration was 43min, and the single regeneration mileage interval was 2.8km. Vehicle Q occurred once, the regeneration start time was 13:58, the regeneration completion time was 14:28, a sub-regeneration event occurred in the regeneration event, the single regeneration duration was 30min, and the single regeneration mileage interval was 0km.

[0146] In this embodiment, through the above-mentioned regeneration characteristic parameters, the regeneration characteristics of the exhaust purification system can be analyzed from multiple angles, and the method is flexible and the strategy is rich.

[0147] Figure 8 is a flowchart of a vehicle exhaust purification system regeneration characteristic analysis method provided by another example embodiment. Figure 8 The steps in the embodiment of are a combination of the steps in the above-mentioned multiple embodiments, and specifically include the following steps.

[0148] ​Step S201, according to the user input regeneration analysis instruction, obtain the target vehicle in the specified period of time working condition parameters. Obtain the target vehicle in the specified period of time working condition parameters. Then execute step S202.

[0149] Step S202, determine whether to meet the regeneration start condition. If yes, execute step 203. Exemplarily, the regeneration start condition includes: engine speed greater than 500 rpm, high temperature indication light in the state of lighting, ambient temperature greater than 20 DEG C and atmospheric pressure less than 500 hpa.

[0150] Step S203, determine the time corresponding to the working condition parameter meeting the regeneration start condition as the regeneration start time. Then execute step S204.

[0151] Step S204, determine whether to meet the regeneration interruption condition. If yes, execute step S205. Exemplarily, the regeneration interruption condition includes: engine speed less than or equal to 500 rpm; or, engine speed greater than 500 rpm and high temperature indication light in the state of extinguishing; or, the duration of engine speed less than 10 rpm reaches 2400 s.

[0152] Step S205, determine the time corresponding to the working condition parameter meeting the regeneration interruption condition as the regeneration interruption time. Then execute step S206.

[0153] Step S206, determine whether the regeneration interruption time is valid. If yes, execute step S207; if not, execute step S202. Exemplarily, the regeneration interruption condition includes: from the regeneration start time, the duration of high temperature indication light in the state of lighting reaches 60 s, or the duration of SCR front end exhaust temperature greater than 300 DEG C reaches 20 s.

[0154] Step S207, determine the regeneration interruption time is valid. Then execute step S208.

[0155] Step S208, determine whether to meet the regeneration completion condition. If yes, execute step S209; if not, execute step S202. Exemplarily, the regeneration completion condition includes: the duration of the following three conditions meeting reaches 720 s: engine speed greater than 500 rpm; high temperature indication light in the state of extinguishing; coolant temperature greater than 60 DEG C.

[0156] Step S209, determine the regeneration interruption time as the regeneration completion time of the present regeneration event. Then execute step S210.

[0157] Step S210, determine whether the vehicle speed is greater than 2 kph during the regeneration start time to the regeneration completion time of the present regeneration event. If yes, execute step S211; if not, execute step S212.

[0158] Step S211, it is determined that the regeneration type of the current regeneration event is driving regeneration. Then step S213 is executed.

[0159] Step S212, it is determined that the regeneration type of the current regeneration event is parking regeneration. Then step S213 is executed.

[0160] Step S213, according to the identification result, the regeneration characteristic parameter of the exhaust purification system of the target vehicle in the specified period is determined.

[0161] Based on the same inventive concept, the disclosure also provides a vehicle exhaust purification system regeneration characteristic analysis device. Figure 9 is a block diagram of the vehicle exhaust purification system regeneration characteristic analysis device provided by an exemplary embodiment. As shown in Figure 9 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 configured to acquire the working condition parameters of the target vehicle in the specified period according to the regeneration analysis instruction input by the user.

[0163] The identification module 602 is configured to identify the period in which regeneration occurs in the specified period according to the working condition parameters.

[0164] The determination module 603 is configured to determine the regeneration characteristic parameter of the exhaust purification system of the target vehicle in the specified period according to the identification result.

[0165] Optionally, the regeneration analysis instruction is used to instruct to perform regeneration characteristic analysis on a vehicle of a specified vehicle type.

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

[0167] The first determination sub-module is configured to determine the vehicle whose vehicle type is the specified vehicle type as the target vehicle according to the regeneration analysis instruction.

[0168] The acquisition sub-module is configured to acquire the working condition parameters of the target vehicle in the specified period.

[0169] Optionally, the identification module 602 includes a second determination sub-module, a third determination sub-module, a fourth determination sub-module, and a fifth determination sub-module.

[0170] The second determination sub-module is configured to determine, from the starting time of the specified period, or from the regeneration completion time of the last regeneration event, or from the most recent regeneration interruption time, the time corresponding to the working condition parameters that meet the regeneration start condition as the regeneration start time.

[0171] The third determining sub-module is configured to determine, from the regeneration start time, a time corresponding to the working condition parameter satisfying the regeneration interruption condition as the regeneration interruption time.

[0172] The fourth determining sub-module is configured to determine whether the working condition parameter corresponding to the regeneration interruption time satisfies a regeneration completion condition.

[0173] The fifth determining sub-module is configured to determine, if the working condition parameter corresponding to the regeneration interruption time satisfies the regeneration completion condition, the regeneration interruption time as a regeneration completion time of the current regeneration event, wherein:

[0174] If the current regeneration event is the first regeneration event in a specified period, the regeneration start time of the current regeneration event is a first regeneration start time determined from a start time of the specified period; if the current regeneration event is not the first regeneration event in the specified period, the regeneration start time of the current regeneration event is a first regeneration start time determined from a regeneration completion time of a last regeneration event.

[0175] Optionally, the identification module 602 further comprises a sixth determining sub-module.

[0176] The sixth determining sub-module is configured to, if at least two regeneration interruption times are determined in the current regeneration event, after determining that the time corresponding to the working condition parameter satisfying the regeneration interruption condition is the regeneration interruption time, determine the regeneration interruption time as a regeneration completion time of a sub-regeneration event in the current regeneration event, wherein a regeneration start time of the sub-regeneration event is a last regeneration start time before the regeneration interruption time.

[0177] Optionally, the identification module 602 further comprises a judgment sub-module.

[0178] The judgment sub-module is configured to, after determining that the time corresponding to the working condition parameter satisfying the regeneration interruption condition is the regeneration interruption time, judge the effectiveness of the regeneration interruption time.

[0179] The sixth determining sub-module is configured to, when the judgment sub-module determines that the regeneration interruption time is effective, re-perform the operation of determining the regeneration interruption time as the regeneration completion time of the sub-regeneration event in the current regeneration event, and the fourth determining sub-module is configured to, when the judgment sub-module determines that the regeneration interruption time is effective, re-perform the operation of determining whether the working condition parameter corresponding to the regeneration interruption time satisfies the regeneration completion condition.

[0180] Optionally, the working condition parameter comprises a selective catalytic reduction system (SCR) front-end exhaust gas temperature and a high temperature indicator light state information; and the judgment sub-module is further configured to:

[0181] If the working condition parameter satisfies any one of the following from the regeneration start time, it is determined that the regeneration interruption time is effective:

[0182] The duration that the high-temperature indicator light is in the on state reaches a first duration;

[0183] The duration that the SCR front-end exhaust gas temperature is greater than the first temperature threshold reaches a second duration;

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

[0185] Optionally, the working condition parameters include: engine speed, high-temperature indicator light state information, ambient temperature, atmospheric pressure, and coolant temperature.

[0186] The regeneration start condition includes: the engine speed is greater than a first speed threshold, the high-temperature indicator light is in the on state, the ambient temperature is greater than a second temperature threshold, and the atmospheric pressure is less than a predetermined pressure threshold.

[0187] The regeneration interruption condition includes: 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-temperature indicator light is in the off state, or the duration that the engine speed is less than a second speed threshold reaches a third duration.

[0188] The regeneration completion condition includes: the duration that the following three conditions are met reaches a fourth duration since the regeneration interruption time:

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

[0190] The high-temperature indicator light is in the off state;

[0191] The coolant temperature is greater than a third temperature threshold;

[0192] 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 regeneration number, 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] As to the device in the above embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments of the method, and will not be described in detail here.

[0195] By the technical solution, the regeneration characteristic of the exhaust purification system of the target vehicle in the specified period can be analyzed as long as the user inputs the regeneration analysis instruction remotely, whether the target vehicle is in a driving state or a parking state, compared with the related art in which the regeneration characteristic of the exhaust purification system of the vehicle can be analyzed only after the vehicle is manually controlled to enter the parking regeneration mode, the environmental requirement for analyzing the regeneration characteristic of the vehicle is reduced, and manpower is saved. Moreover, after the regeneration analysis instruction is received, the period in which regeneration occurs in the specified period can be automatically identified according to the working condition parameters of the target vehicle in the specified period without manual analysis, so that the regeneration characteristic parameters of the exhaust purification system of the target vehicle in the specified period can be quickly and accurately determined in combination with the identification result, the analysis efficiency in the process of analyzing the regeneration characteristic of the exhaust purification system of the target vehicle is improved, manpower is further saved, and the analysis method is more intelligent.

[0196] The present disclosure also provides a non-transitory computer-readable storage medium having a computer program stored thereon, the program being executed by a processor to implement the steps of the vehicle exhaust purification system regeneration characteristic analysis method.

[0197] The present disclosure also provides an electronic device, comprising:

[0198] a memory having a computer program stored thereon;

[0199] a processor configured to execute the computer program in the memory to implement the steps of the vehicle exhaust purification system regeneration characteristic analysis method.

[0200] The present disclosure also provides a computer program product comprising a computer program, the computer program being executed by a processor to implement the steps of the vehicle exhaust purification system regeneration characteristic analysis method.

[0201] Figure 10 is a block diagram of an electronic device according to an example embodiment. For example, the electronic device 1900 can be provided as a server. Referring to Figure 10 , the electronic device 1900 includes a processor 1922, the number of which can be one or more, and a memory 1932 for storing a computer program executable by the processor 1922. The computer program stored in the memory 1932 can include one or more modules each corresponding to a set of instructions. In addition, the processor 1922 can be configured to execute the computer program to perform the vehicle exhaust purification system regeneration characteristic analysis method described above.

[0202] In addition, the electronic device 1900 can further include a power component 1926, which can be configured to perform power management of the electronic device 1900, and a communication component 1950, which can be configured to implement communication of the electronic device 1900, e.g., wired or wireless communication. In addition, the electronic device 1900 can further include an input / output (I / O) interface 1958. The electronic device 1900 can operate based on an operating system stored in the memory 1932.

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

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

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

[0206] In addition, it should be noted that each specific technical feature described in the above specific embodiments can be combined in any appropriate manner without contradiction. In order to avoid unnecessary repetition, various possible combinations are not described again in the present disclosure.

[0207] In addition, various different embodiments of the present disclosure can also be combined in any appropriate manner, as long as it does not deviate from the idea of the present disclosure, it should also be considered as disclosed by the present disclosure.

Claims

1. A method of analyzing a regeneration characteristic of a vehicle exhaust purification system, characterized by, The method comprises: According to the user input regeneration analysis instruction, obtain the working condition parameters of the target vehicle in the specified period; According to the working condition parameters, identify the period of regeneration in the specified period; According to the identification result, determine the regeneration characteristic parameters of the exhaust purification system of the target vehicle in the specified period.

2. The method of claim 1, wherein, The regeneration analysis instruction is used to indicate the regeneration characteristic analysis of the vehicle of the specified vehicle type; According to the user input regeneration analysis instruction, obtain the working condition parameters of the target vehicle in the specified period, comprising: According to the regeneration analysis instruction, the vehicle of the specified vehicle type is determined as the target vehicle; Obtain the working condition parameters of the target vehicle in the specified period.

3. The method of claim 1, wherein, According to the working condition parameters, identify the period of regeneration in the specified period, comprising: From the start time of the specified period, or from the regeneration completion time of the last regeneration event, or from the latest regeneration interruption time, determine the time corresponding to the working condition parameters that meet the regeneration start condition as the regeneration start time; From the regeneration start time, determine the time corresponding to the working condition parameters that meet the regeneration interruption condition as the regeneration interruption time; Determine whether the working condition parameters corresponding to the regeneration interruption time meet the regeneration completion condition; If the working condition parameters corresponding to the regeneration interruption time meet the regeneration completion condition, the regeneration interruption time is determined as the regeneration completion time of the current regeneration event, wherein: If the current regeneration event is the first regeneration event in the specified period, the regeneration start time of the current regeneration event is the first regeneration start time determined from the start time of the specified period; if the current regeneration event is not the first regeneration event in the specified period, the regeneration start time of the current regeneration event is the first regeneration start time determined from the regeneration completion time of the last regeneration event.

4. The method of claim 3, wherein, According to the working condition parameters, identify the period of regeneration in the specified period, further comprising: If at least two regeneration interruption times are determined in the current regeneration event, after determining that the time corresponding to the working condition parameters that meet 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 the current regeneration event, wherein the regeneration start time of the sub-regeneration event is the latest regeneration start time before the regeneration interruption time.

5. The method of claim 4, wherein, According to the working condition parameters, identify the period of regeneration in the specified period, further comprising: After determining that the time corresponding to the working condition parameters that meet the regeneration interruption condition is the regeneration interruption time, the effectiveness of the regeneration interruption time is judged; If the regeneration interruption time is determined to be effective, the step of determining the regeneration interruption time as the regeneration completion time of the sub-regeneration event in the current regeneration event, and the step of determining whether the working condition parameters corresponding to the regeneration interruption time meet the regeneration completion condition are executed again.

6. The method of claim 5, wherein, The working condition parameters include: selective catalytic reduction system SCR front end exhaust temperature and high temperature indication light state information; the effectiveness of the regeneration interruption time is judged, comprising: If the working condition parameter satisfies any one of the following conditions since the regeneration start time, the regeneration interruption time is determined to be valid: The duration that the high temperature indicator is in the on state reaches a first duration; The duration that the SCR front end exhaust gas temperature is greater than a first temperature threshold reaches a second duration; The second duration is less than the first duration.

7. The method of claim 3, wherein, The working condition parameter includes: engine speed, high temperature indicator state information, ambient temperature, atmospheric pressure, and coolant temperature; The regeneration start condition includes: the engine speed is greater than a first speed threshold, the high temperature indicator is in the on state, the ambient temperature is greater than a second temperature threshold, and the atmospheric pressure is less than a predetermined pressure threshold; The regeneration interruption condition includes: 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 temperature indicator is in the off state, or the duration that the engine speed is less than a second speed threshold reaches a third duration; The regeneration completion condition includes: the duration that the working condition parameter satisfies the following three conditions since the regeneration interruption time reaches a fourth duration: The engine speed is greater than the first speed threshold; The high temperature indicator is in the off state; The coolant temperature is greater than a third temperature threshold; 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.

8. The method according to any one of claims 1-7, characterized in that, The regeneration characteristic parameter includes at least one of the following: regeneration type, total regeneration number, 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.

9. A device for analyzing the regeneration characteristics of a vehicle exhaust purification system, characterized in that, The device includes: An acquisition module configured to acquire working condition parameters of a target vehicle within a specified period according to a regeneration analysis instruction input by a user; An identification module configured to identify a period in which regeneration occurs within the specified period according to the working condition parameters; A determination module configured to determine a regeneration characteristic parameter of an exhaust purification system of the target vehicle within the specified period according to the identification result.

10. An electronic device, comprising: It includes: A memory having a computer program stored thereon; A processor configured to execute the computer program in the memory to implement the steps of the method of any one of claims 1-8.

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