A DPF regeneration control method, device, vehicle and communication system

Abstract

This application discloses a DPF regeneration control method, device, vehicle, and communication system. The method is applied to the vehicle's ECU and includes: receiving statistical information of a preset number of candidate regeneration sections from a cloud server, wherein the candidate regeneration sections are sections between two stops on the vehicle's route, and the statistical information is parameters related to fuel consumption during DPF regeneration on each candidate regeneration section collected by the cloud server; determining a regeneration factor for each candidate regeneration section based on the statistical information of the candidate regeneration sections and the DPF pressure difference; determining a target regeneration section based on the regeneration factor of each candidate regeneration section, wherein the target regeneration section belongs to each candidate regeneration section; and instructing the DPF to perform DPF regeneration when the vehicle reaches the target regeneration section. This application selects sections with the lowest total fuel consumption as the sections where DPF regeneration is actually performed, thereby achieving more reasonable DPF regeneration control.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a Diesel Particulate Filter (DPF) regeneration control method, device, vehicle, and communication system. Background Art

[0002] According to relevant national emission regulations, engines meeting the China VI road emission standards and the China IV non-road emission standards are equipped with a DPF, which captures carbon particles and other ash in exhaust gas. During actual engine operation, as the amount of soot trapped in the DPF increases, the DPF needs to be regenerated regularly. This is done by burning the carbon contained in the exhaust particulate matter in the DPF to remove the particulate matter.

[0003] Current DPF regeneration timing solutions are based solely on the vehicle's fuel consumption (also known as fuel consumption) during the regeneration process. Therefore, a more comprehensive and rational DPF regeneration control method is needed to enable vehicles to regenerate their DPF at a more appropriate time. Summary of the Invention

[0004] The present application provides a DPF regeneration control method, device, vehicle and communication system, which determine the appropriate DPF regeneration timing by considering the fuel consumption of the regeneration and non-regeneration processes, thereby achieving more reasonable DPF regeneration control.

[0005] In a first aspect, the present application provides a DPF regeneration control method, which is applied to an electronic control unit (ECU), wherein the ECU belongs to a vehicle and the vehicle also includes a DPF. The method comprises:

[0006] receiving statistical information of a preset number of candidate regeneration sections from a cloud server, wherein the candidate regeneration sections are sections between two parking points on the vehicle's route; wherein the statistical information is related parameters of fuel consumption during DPF regeneration on each of the candidate regeneration sections, collected by the cloud server;

[0007] determining a regeneration factor of the candidate regeneration section based on statistical information of the candidate regeneration section and a DPF pressure difference;

[0008] determining a target regeneration section according to the regeneration factors of the candidate regeneration sections; wherein the target regeneration section belongs to the candidate regeneration sections;

[0009] When the vehicle travels to the target regeneration section, the DPF is instructed to perform DPF regeneration.

[0010] Optionally, the DPF pressure difference is related to the fuel consumption of the vehicle without DPF regeneration on the candidate regeneration section, the regeneration factor is nonlinearly positively correlated with the total fuel consumption on the candidate regeneration section, and the total fuel consumption on the candidate regeneration section is the total amount of fuel consumed by the vehicle when traveling the candidate regeneration section when DPF regeneration is performed on the candidate regeneration section.

[0011] Optionally, before receiving statistical information of a preset number of candidate regeneration sections from the cloud server, the method further includes:

[0012] If it is determined that the ratio of the carbon load of the DPF to the regeneration limit reaches a preset ratio threshold, a request message is sent to the cloud server, and the request message is used to request the cloud server to send statistical information of the preset number of candidate regeneration sections on the vehicle's driving route.

[0013] Optionally, the statistical information includes: carbon load, average temperature upstream of the DPF, allowed regeneration time and fuel consumption.

[0014] Optionally, the statistical information includes a total number of regenerations and a number of successful regenerations, and the method includes: obtaining a regeneration success rate for each candidate regeneration section; wherein the regeneration success rate is equal to a percentage of the number of successful regenerations to the total number of regenerations;

[0015] The step of determining a target regeneration section according to the regeneration factors of the candidate regeneration sections includes:

[0016] The target regeneration section is determined according to the regeneration factors of the candidate regeneration sections and the regeneration success rates of the candidate regeneration sections.

[0017] Optionally, the statistical information includes the distance and average vehicle speed of the candidate regeneration sections, and the method further includes: obtaining a regeneration efficiency for each candidate regeneration section, the regeneration efficiency being equal to the product of the average vehicle speed and the allowed regeneration time divided by the distance;

[0018] The step of determining a target regeneration section according to the regeneration factors of the candidate regeneration sections includes:

[0019] The target regeneration section is determined according to the regeneration factors of the candidate regeneration sections and the regeneration efficiencies of the candidate regeneration sections.

[0020] Optionally, the method further includes:

[0021] Calculating a regeneration distance between the current position of the vehicle and the target regeneration section;

[0022] The regeneration distance is sent to a display module of the vehicle so that a user can determine through the display module that the DPF of the vehicle performs DPF regeneration after the regeneration distance.

[0023] Optionally, after the DPF is regenerated, the method further includes:

[0024] Obtaining a regeneration result of DPF regeneration;

[0025] The regeneration result is sent to the cloud server.

[0026] In a second aspect, the present application further provides a DPF regeneration control device, characterized in that it is applied to an electronic control unit ECU, the ECU belongs to a vehicle, the vehicle also includes a DPF, and the device includes:

[0027] a receiving unit, configured to receive statistical information of a preset number of candidate regeneration sections sent by a cloud server, wherein the candidate regeneration sections are sections between two parking points on the vehicle's route, and the statistical information is relevant parameters of fuel consumption during DPF regeneration on each of the candidate regeneration sections, collected by the cloud server;

[0028] a first determining unit, configured to determine a regeneration factor of the candidate regeneration section based on statistical information of the candidate regeneration section and a DPF pressure difference;

[0029] a second determining unit, configured to determine a target regeneration section according to the regeneration factors of the candidate regeneration sections, wherein the target regeneration section belongs to the candidate regeneration sections;

[0030] An instructing unit is used to instruct the DPF to perform DPF regeneration when the vehicle travels to the target regeneration section.

[0031] Optionally, the DPF pressure difference is related to the fuel consumption of the vehicle without DPF regeneration on the candidate regeneration section, the regeneration factor is nonlinearly positively correlated with the total fuel consumption on the candidate regeneration section, and the total fuel consumption on the candidate regeneration section is the total amount of fuel consumed by the vehicle when traveling the candidate regeneration section when DPF regeneration is performed on the candidate regeneration section.

[0032] Optionally, the device further comprises:

[0033] The first sending unit is used to send a request message to the cloud server before receiving the statistical information of the preset number of candidate regeneration sections sent by the cloud server, if it is determined that the proportion of the carbon load of the DPF to the regeneration limit reaches a preset proportion threshold. The request message is used to request the cloud server to send the statistical information of the preset number of candidate regeneration sections on the vehicle's driving route.

[0034] Optionally, the statistical information includes: carbon load, average temperature upstream of the DPF, allowed regeneration time and fuel consumption.

[0035] Optionally, the statistical information includes a total number of regenerations and a number of successful regenerations, and the apparatus further includes: a first obtaining unit, configured to obtain a regeneration efficiency of each candidate regeneration section, the regeneration efficiency being equal to a percentage of the number of successful regenerations to the total number of regenerations;

[0036] The second determining unit is specifically configured to:

[0037] The target regeneration section is determined according to the regeneration factors of the candidate regeneration sections and the regeneration success rates of the candidate regeneration sections.

[0038] Optionally, the statistical information includes the distance and average vehicle speed of the candidate regeneration sections, and the apparatus further includes: a second obtaining unit, configured to obtain a regeneration efficiency of each candidate regeneration section, the regeneration efficiency being equal to the product of the average vehicle speed and the allowed regeneration time divided by the distance;

[0039] The second determining unit is specifically configured to:

[0040] The target regeneration section is determined according to the regeneration factors of the candidate regeneration sections and the regeneration efficiencies of the candidate regeneration sections.

[0041] Optionally, the device further comprises:

[0042] a calculation unit, configured to calculate a regeneration distance between the current position of the vehicle and the target regeneration section;

[0043] The second sending unit is configured to send the regeneration distance to a display module of the vehicle, so that a user can determine through the display module that the DPF of the vehicle performs the DPF regeneration after traveling the regeneration distance.

[0044] Optionally, the device further comprises:

[0045] a third obtaining unit, configured to obtain a regeneration result of the DPF regeneration after the DPF regeneration is performed;

[0046] The third sending unit is used to send the regeneration result to the cloud server.

[0047] In a third aspect, the present application further provides a processor, which is used to execute the method provided in the first aspect to control the DPF regeneration of the DPF.

[0048] Optionally, the processor may be an ECU of the vehicle.

[0049] In a fourth aspect, the present application further provides a vehicle, comprising a DPF and the processor provided in the third aspect.

[0050] The processor is used to execute the method provided in the first aspect to realize regeneration control of the DPF.

[0051] In a fifth aspect, the present application further provides a communication system, which includes the vehicle and the cloud server provided in the fourth aspect, wherein:

[0052] The cloud server is used to send statistical information of a preset number of candidate regeneration sections to the vehicle.

[0053] It can be seen that this application has the following beneficial effects:

[0054] The present application provides a DPF regeneration control method, applied to an ECU, the ECU being a vehicle, the vehicle also including a DPF. The method comprises: receiving statistical information of a preset number of candidate regeneration sections from a cloud server; wherein the candidate regeneration sections are sections between two stops on the vehicle's route; the statistical information is parameters related to fuel consumption during DPF regeneration on each of the candidate regeneration sections, collected by the cloud server; determining a regeneration factor for each candidate regeneration section based on the statistical information and a DPF pressure difference; determining a target regeneration section based on the regeneration factor for each candidate regeneration section; wherein the target regeneration section belongs to each candidate regeneration section; and instructing the DPF to perform DPF regeneration when the vehicle reaches the target regeneration section. Optionally, the DPF pressure difference is correlated with the vehicle's fuel consumption on the candidate regeneration section without DPF regeneration, and the regeneration factor is nonlinearly positively correlated with the total fuel consumption on the candidate regeneration section; the total fuel consumption on the candidate regeneration section being the total fuel consumed by the vehicle upon completing the candidate regeneration section if DPF regeneration is performed on the candidate regeneration section. In this way, when deciding the timing of DPF regeneration in each section of road ahead where DPF regeneration may be performed, the fuel consumption of DPF regeneration in each section affected by the statistical information sent by the cloud server and the fuel consumption of the parts other than DPF regeneration (also called non-DPF regeneration) in each section affected by the DPF pressure difference (also called engine back pressure) are comprehensively considered. The section with the least total fuel consumption is used as the section where DPF regeneration is actually performed, and the DPF is instructed to perform DPF regeneration in this section, so as to achieve more reasonable DPF regeneration control and minimize the number of DPF regenerations. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0056] Figure 1 Schematic diagram of a DPF regeneration control method according to an embodiment of the present application;

[0057] Figure 2 Schematic diagram of an applicable scenario of a DPF regeneration control method in an embodiment of the present application;

[0058] Figure 3 This is a schematic diagram of an example of a DPF regeneration control method in an embodiment of the present application;

[0059] Figure 4 This is a structural diagram of a DPF regeneration control device in an embodiment of the present application;

[0060] Figure 5 This is a schematic structural diagram of a vehicle in an embodiment of the present application;

[0061] Figure 6 This is a structural diagram of a communication system in an embodiment of the present application. DETAILED DESCRIPTION

[0062] To make the above-mentioned objects, features, and advantages of the present application more clearly understood, the following further describes the embodiments of the present application in detail with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely for the purpose of explaining the present application and are not intended to limit the present application. In addition, it should be noted that, for ease of description, the drawings only show portions relevant to the present application, not all structures.

[0063] Currently, existing DPF regeneration solutions can trigger DPF regeneration based on carbon load. However, this method of triggering DPF regeneration cannot guarantee DPF regeneration efficiency, and there is a possibility of multiple unsuccessful DPF regenerations, which increases the vehicle's fuel consumption cost. In addition, there are also technical solutions in which the vehicle's ECU determines the regeneration timing of the DPF based on carbon load and vehicle congestion information provided by a cloud server. However, the congestion information collected by the cloud server based on complex road conditions is highly uncertain and not universally applicable. This can result in the ECU determining the DPF regeneration timing being inappropriate.

[0064] Based on this, the inventors have found through empirical research that, in a road section between two parking points of a vehicle, the amount of carbon load will affect the fuel consumption of the vehicle during the DPF regeneration period in that road section, and the size of the DPF pressure difference will affect the fuel consumption of the vehicle during other periods in that road section except for the DPF regeneration period. In order to save energy and be effective, the total fuel consumption of the vehicle in each road section including the regeneration period should be comprehensively considered when selecting the regeneration timing of the DPF regeneration. Only when the total fuel consumption of the road section is small can it be a road section with a more suitable DPF regeneration timing that meets the user's needs. As an example, a DPF regeneration control method provided in an embodiment of the present application may include: the ECU receives statistical information of a preset number of candidate regeneration sections sent by a cloud server, the preset number may be 10, then, the ECU receives statistical information of 10 candidate regeneration sections sent by the cloud server, wherein the candidate regeneration section is the road section between two parking points on the vehicle's driving route, and the statistical information is the relevant parameters of the DPF regeneration during the regeneration of each candidate regeneration section collected by the cloud server; the ECU determines the candidate regeneration section based on the statistical information of the candidate regeneration section and the DPF pressure difference. The regeneration factor of the candidate regeneration section, the DPF pressure difference is related to the fuel consumption of the vehicle without DPF regeneration on the candidate regeneration section, the regeneration factor is nonlinearly positively correlated with the total fuel consumption on the candidate regeneration section, and the total fuel consumption on the candidate regeneration section is the total fuel consumed by the vehicle after traveling through the candidate regeneration section when DPF regeneration is performed on the candidate regeneration section; the ECU determines a target regeneration section based on the regeneration factor of each candidate regeneration section, and the target regeneration section belongs to each candidate regeneration section; when the vehicle travels to the target regeneration section, the ECU instructs the DPF to perform DPF regeneration.

[0065] In this way, through this method, when deciding the regeneration timing of DPF regeneration in each section of road ahead where DPF regeneration may be performed, the fuel consumption of DPF regeneration in each section affected by the statistical information sent by the cloud server and the fuel consumption of the parts other than DPF regeneration in each section affected by the DPF pressure difference are comprehensively considered, and the section with the least total fuel consumption is used as the section where DPF regeneration is actually performed, and the DPF is instructed to perform DPF regeneration in this section, so as to achieve more reasonable DPF regeneration control and minimize the number of DPF regenerations.

[0066] To facilitate understanding of the specific implementation of the DPF regeneration control method provided in the embodiment of the present application, it will be described below with reference to the accompanying drawings.

[0067] It should be noted that the subject implementing the DPF regeneration control method may be the DPF regeneration control device provided in the embodiment of the present application, and the DPF regeneration control device may be Figure 4Alternatively, the DPF regeneration control device may also be a functional module in a processor, which may be Figure 5 ECU 22 in vehicle 200 is shown.

[0068] Figure 1 The present invention provides a DPF regeneration control method flow chart. The method is applied to an ECU, the ECU belongs to a vehicle, and the vehicle also includes a DPF. Figure 1 As shown, the method may include S101 to S104:

[0069] S101: Receive statistical information of a preset number of candidate regeneration sections sent by a cloud server.

[0070] The candidate regeneration section is a section between two parking points on the vehicle's driving route, and the statistical information is relevant parameters of fuel consumption during DPF regeneration on each of the candidate regeneration sections collected by the cloud server.

[0071] In order to reduce the number of DPF regenerations and reduce DPF regeneration fuel consumption, in an embodiment of the present application, historical data of many vehicles traveling on different road sections are collected through a cloud server. For example, parameters related to DPF regeneration generated when vehicles travel on each road section can be collected to provide some data basis for the implementation of the embodiment of the present application.

[0072] As an example, before S101, the method may further include: if it is determined that the ratio of the carbon load of the DPF to the regeneration limit reaches a preset threshold (e.g., 70%), sending a request message to the cloud server, requesting the cloud server to transmit statistical information for a preset number of candidate regeneration sections along the vehicle's route. S101 may then include: receiving a response message corresponding to the request message sent by the cloud server, the response message including statistical information for the preset number of candidate regeneration sections. The preset number may be, for example, 10. In S101, the ECU may receive statistical information for the preset number of candidate regeneration sections, such as statistical information for the 10 sections ahead of the vehicle's current route, from the cloud server via a telematics box (Tbox) on the vehicle. Each of these 10 sections may be considered a candidate regeneration section.

[0073] It can be understood that the road section, the candidate regeneration road section and the target regeneration road section in the embodiment of the present application refer to the road section between two adjacent parking points on the vehicle's driving route.

[0074] Statistical information for each candidate regeneration section may include: carbon load, average DPF upstream temperature, regeneration time, and fuel consumption. The carbon load may include the average cumulative carbon load along the candidate regeneration section; the average DPF upstream temperature may include: the average upstream temperature required for DPF regeneration on the candidate regeneration section and the average upstream temperature achieved by the DPF before regeneration and temperature increase; and the regeneration time refers to the time allowed for DPF regeneration on the candidate regeneration section based on the current vehicle speed, also known as the regeneration allowable time. This statistical information may also include the distance of each candidate regeneration section.

[0075] In this way, the ECU receives statistical information of each candidate regeneration section sent by the cloud server, which provides a data basis for the ECU to make regeneration decisions using the DPF regeneration factor model, making it possible to determine a reasonable regeneration timing for DPF regeneration.

[0076] S102 : Determine a regeneration factor of the candidate regeneration section based on statistical information of the candidate regeneration section and the DPF pressure difference.

[0077] The DPF pressure difference is related to the fuel consumption of the vehicle on the candidate regeneration section without DPF regeneration, and the regeneration factor is nonlinearly positively correlated with the total fuel consumption on the candidate regeneration section. The total fuel consumption on the candidate regeneration section is the total amount of fuel consumed by the vehicle after traveling the candidate regeneration section when DPF regeneration is performed on the candidate regeneration section.

[0078] Among them, S102 to S103 can be considered to be executed by the DPF regeneration factor model deployed in the ECU. The input of the DPF regeneration factor model can be the statistical information of a preset number of candidate regeneration sections and the DPF pressure difference of each candidate regeneration section, and the output can be the target candidate section. In order to achieve the best DPF regeneration effect, ensure the success rate of each DPF regeneration, and effectively reduce the fuel consumption required for DPF regeneration, it is necessary to select the most suitable section for regeneration during driving. This is the original intention of the DPF regeneration factor model designed in the embodiment of the present application and is also the function of the DPF regeneration factor model.

[0079] Then, S102 may include: inputting the statistical information of a preset number of candidate regeneration sections and the DPF pressure difference of each candidate regeneration section into a constructed DPF regeneration factor model, and the DPF regeneration factor model calculates the regeneration factor of each candidate regeneration section. Among them, the constructed DPF regeneration factor model can be expressed by the following formula (1) in the embodiment of the present application:

[0080] Y RgnFac =F1(M soot ,T DPFAvr ,t RgnAllow ,△P)...Formula (1)

[0081] Among them, Y RgnFac is the regeneration factor, F1 represents the functional relationship, M soot is the carbon loading, T DPFAvr is the average temperature upstream of DPF, t RgnAllow is the regeneration time allowed, △P is the DPF pressure difference. soot ,T DPFAvr ,t RgnAllow ,△P and the weighted coefficients of these four in this function can be set in advance.

[0082] It should be noted that the ECU may execute S102 based on each candidate regeneration section received in S101 to calculate the regeneration factor corresponding to the candidate regeneration section. The regeneration factor of each candidate regeneration section is calculated in the same manner.

[0083] As an example, S102 may include: S1021, determining the DPF pressure difference corresponding to the candidate regeneration section based on the statistical information of the candidate regeneration section; S1022, determining the regeneration factor of the candidate regeneration section based on the statistical information of the candidate regeneration section and the DPF pressure difference of the candidate regeneration section.

[0084] It's understandable that the average cumulative rate of carbon loading in the DPF affects fuel consumption during DPF regeneration. Generally, a higher average cumulative rate of carbon loading in the DPF results in higher fuel consumption during DPF regeneration. A higher average cumulative rate of carbon loading in the DPF leads to a greater DPF pressure differential, which in turn increases fuel consumption during periods when the vehicle isn't undergoing DPF regeneration. Therefore, the DPF pressure differential affects fuel consumption at nodes other than DPF regeneration within the candidate regeneration section.

[0085] S1021 may include: for the candidate regeneration section, obtaining a correspondence 1 between carbon load and fuel consumption in DPF regeneration phase 1, and obtaining a correspondence 2 between carbon load and fuel consumption in phase 2 without DPF regeneration; then, determining the DPF differential pressure for the candidate regeneration section based on the carbon load when the fuel consumption is the same in the two correspondences. For example, based on statistical information about the candidate regeneration section, correspondence 1 and correspondence 2 may be plotted with fuel consumption as the ordinate and carbon load as the abscissa. Correspondence 1 may be curve 1 showing a downward trend, and correspondence 2 may be curve 2 showing an upward trend. The DPF differential pressure for the candidate regeneration section may then be determined based on the coordinates of curves 1 and 2.

[0086] Specifically, the process of constructing the DPF regeneration factor model may include: obtaining the fuel consumption required to eliminate the unit carbon load during DPF regeneration and the correlation relationship 1 between the fuel consumption and the statistical information; obtaining the correlation relationship 2 between the DPF pressure difference and the fuel consumption. Generally, under the same working conditions, an increase in the DPF pressure difference will cause an increase in fuel consumption; analyzing the correlation relationship 1 and the correlation relationship 2 to obtain multiple influencing information that affects the DPF regeneration efficiency; and constructing the DPF regeneration factor model based on the multiple influencing information. Here, the fuel consumption required to eliminate the unit carbon load during DPF regeneration and the correlation relationship 1 between the statistical information can be expressed by the following formula (2):

[0087]

[0088] Among them, Fuel Rgn The amount of carbon required to eliminate a unit carbon load (e.g., 1 g / L (gram per liter) of carbon load)

[0089] Fuel consumption, t Rgn is the regeneration time, is the intake air mass flow rate, is the fuel mass flow rate, Cp is the average heat capacity of DPF, T Rgn is the average upstream temperature required for DPF regeneration, T Initial is the average temperature upstream of DPF, △H is the calorific value of fuel per unit mass, M soot is the carbon loading.

[0090] The correlation between DPF pressure difference and fuel consumption can be expressed as follows:

[0091] Fuel Pres =∫F(△P)dt……Formula (3)

[0092] Among them, Fuel Pres The fuel consumption required to overcome the DPF pressure difference.

[0093] Total fuel consumption of road section in DPF regeneration factor model DPF It can be Fuel Rgn With Fuel Pres The sum can be expressed by the following formula (4):

[0094]

[0095] Analyzing the above formula (4), we can obtain that when the carbon load is greater, the regeneration time is shorter, and the average temperature upstream of the DPF before regeneration is higher, the fuel consumption during the regeneration process is lower. Therefore, the DPF regeneration factor model can be shown in formula (1). In formula (1), when other variables are the same, the greater the carbon load, the greater the regeneration factor; the longer the regeneration time is, the greater the regeneration factor; the higher the average temperature upstream of the DPF, the greater the regeneration factor. The greater the regeneration factor, the lower the fuel consumption.

[0096] S103: Determine a target regeneration section according to the regeneration factors of the candidate regeneration sections.

[0097] The target regeneration section belongs to each of the candidate regeneration sections.

[0098] In some implementations, S103 may include selecting a maximum regeneration factor among a preset number of candidate regeneration sections, and using the candidate regeneration section corresponding to the maximum regeneration factor as the target regeneration section. Thus, performing DPF regeneration on the target candidate section can achieve the most efficient DPF regeneration with the lowest fuel consumption.

[0099] In other implementations, in order to select a more appropriate regeneration timing for DPF regeneration, the method may further include: obtaining the regeneration efficiency of each candidate regeneration section; then, S103 may include: determining the target regeneration section based on the regeneration factor of each candidate regeneration section and the regeneration efficiency of each candidate regeneration section. In one case, the statistical information may include the total number of regenerations and the number of successful regenerations. Then, the ECU may determine the regeneration efficiency based on the total number of regenerations and the number of successful regenerations in the statistical information. In another case, the statistical information may include the regeneration efficiency. Then, the ECU obtaining the regeneration efficiency may refer to the ECU receiving the regeneration efficiency from the cloud server. For example, the regeneration efficiency may be equal to the percentage of the number of successful regenerations to the total number of regenerations.

[0100] As an example, S103 may include: selecting the maximum value of the regeneration factor, judging whether the regeneration power of the candidate regeneration section corresponding to the selected regeneration factor is greater than a preset threshold value (such as 70%), and if so, taking the selected candidate regeneration section as the target regeneration section; if not, selecting the section corresponding to the second largest regeneration factor among the candidate regeneration sections, and judging whether the regeneration power of the candidate regeneration section corresponding to the selected regeneration factor is greater than the preset threshold value, and if so, taking the selected candidate regeneration section as the target regeneration section, and so on, until a candidate regeneration section whose regeneration power is greater than the preset threshold value is obtained as the target regeneration section.

[0101] As another example, corresponding weights can be set for the regeneration factor and the regeneration power according to actual conditions. S103 may include: performing weighted calculation on the regeneration factor and the regeneration power of each candidate regeneration section to obtain the weighted results of each candidate regeneration section, thereby taking the candidate regeneration section with the largest weighted result as the target regeneration section.

[0102] In other implementations, to select a more appropriate regeneration timing for the DPF, the method may further include obtaining the regeneration efficiency of each candidate regeneration section. Then, S103 may include determining the target regeneration section based on the regeneration factor and the regeneration efficiency of each candidate regeneration section. In one embodiment, the statistical information may include the distance and average vehicle speed of the candidate regeneration sections. In this embodiment, the ECU may determine the regeneration efficiency based on the distance and average vehicle speed of the candidate regeneration sections in the statistical information. In another embodiment, the statistical information may include the regeneration efficiency. Then, obtaining the regeneration efficiency by the ECU may refer to receiving the regeneration efficiency from a cloud server. For example, the regeneration efficiency may be equal to the product of the average vehicle speed and the regeneration time, divided by the distance.

[0103] As an example, S103 may include: selecting the maximum value of the regeneration factor, judging whether the regeneration efficiency of the candidate regeneration section corresponding to the selected regeneration factor is less than a preset threshold value (such as 30%), and if it is not less than, then the selected candidate regeneration section is used as the target regeneration section; if it is less than, then selecting the section corresponding to the second largest regeneration factor among the candidate regeneration sections, and judging whether the regeneration efficiency of the candidate regeneration section corresponding to the selected regeneration factor is less than the preset threshold value, and if it is not less than, then the selected candidate regeneration section is used as the target regeneration section, and so on, until a candidate regeneration section whose regeneration efficiency is not less than the preset threshold value is obtained as the target regeneration section.

[0104] As another example, corresponding weights can be set for the regeneration factor and the regeneration efficiency according to actual conditions. S103 may include: performing weighted calculation on the regeneration factor and the regeneration efficiency of each candidate regeneration section to obtain the weighted results of each candidate regeneration section, thereby taking the candidate regeneration section with the largest weighted result as the target regeneration section.

[0105] S104: When the vehicle travels to the target regeneration section, instruct the DPF to perform DPF regeneration.

[0106] To ensure accurate DPF regeneration when the vehicle reaches a target regeneration section, embodiments of the present application may further include: calculating the regeneration distance between the vehicle's current location and the target regeneration section; and transmitting the regeneration distance to the vehicle's display module, so that the user can use the display module to determine whether the vehicle's DPF will regenerate after reaching the target regeneration distance. The display module may be the vehicle's instrument panel, or another display module integrated into or connected to the vehicle and visible to the user. This is one possible implementation method for ensuring accurate triggering of S104.

[0107] The ECU calculates the regeneration distance between the current position of the vehicle and the target regeneration section, which may include: S11, accumulating the distance S between the vehicle and the target candidate section when the vehicle sends a request message or receives statistical information of each candidate regeneration section sent by the cloud server. RgnDis ; S12, according to the S RgnDis , the total mileage S of the vehicle when the vehicle sends a request message or receives statistical information of each candidate regeneration section sent by the cloud server CalDis and the vehicle's current total mileage S TotalDis , calculate the distance S between the vehicle's current position and the target regeneration section RgnStart Among them, S11 can be calculated by the following formula (5):

[0108]

[0109] Among them, S Dis (i) is the distance (or length) of the i-th candidate regeneration section, N is the number of candidate regeneration sections between the vehicle and the target candidate section when the vehicle sends a request message or receives statistical information of each candidate regeneration section sent by the cloud server, and N is an integer less than a preset number.

[0110] S12 can be calculated using the following formula (6):

[0111] S RgnStart =S CalDis +S RgnDis -S TotalDis ...Formula (6)

[0112] The ECU then sends the regeneration distance to the vehicle's display module to alert the user. The present embodiment of the present invention can issue a reminder in a variety of ways. As an example, if the distance between the vehicle's current location and the target regeneration section can be uploaded to a cloud server, the reminder can be issued by issuing a command from the cloud server. For example, the cloud server can establish a communication connection with a user's associated terminal device to transmit the regeneration distance to the user. The user's terminal device connected to the cloud server can be a mobile device, a computer, or any combination thereof. In some embodiments, the mobile device can include a mobile phone, a wearable device, a tablet computer, a virtual reality device, or any combination thereof. As another example, if the vehicle is equipped with a reminder device, the reminder can be issued by the reminder device. For example, the reminder device can be an onboard display screen, which issues the reminder by displaying the regeneration distance on the screen. Alternatively, the reminder device can be an audible device, which issues the reminder by emitting a warning tone. The warning tone can be a pre-set ringing sound corresponding to the regeneration distance, or it can be a voice announcement of the regeneration distance, which is not specifically limited in the present embodiment of the present invention.

[0113] In this way, the embodiment of the present application can issue a reminder to the user based on the regeneration distance between the current position of the vehicle and the target regeneration section, thereby facilitating the user to cooperate in completing DPF regeneration during vehicle driving, allowing the user to experience the intelligent driving solution and improve the user's experience.

[0114] As an example, S104 may include: if it is determined that S RgnStart If it is less than or equal to 0, it means that the vehicle has traveled to the target regeneration section, and thus the ECU instructs the DPF to perform DPF regeneration.

[0115] In other implementations, after S104, the method may further include: obtaining a regeneration result of the DPF regeneration; and transmitting the regeneration result to the cloud server. This enriches the DPF regeneration-related data collected on the cloud server. When other vehicles or the current vehicle subsequently require DPF regeneration, the regeneration result of this DPF regeneration can be used as part of statistical information, processed by the cloud server, and transmitted to the vehicle in need, helping the vehicle determine a more appropriate DPF regeneration timing.

[0116] In this way, through this method, when deciding the regeneration timing of DPF regeneration in each section of road ahead where DPF regeneration may be performed, the fuel consumption of DPF regeneration in each section affected by the statistical information sent by the cloud server and the fuel consumption of the parts other than DPF regeneration in each section affected by the DPF pressure difference are comprehensively considered, and the section with the least total fuel consumption is used as the section where DPF regeneration is actually performed, and the DPF is instructed to perform DPF regeneration in this section, so as to achieve more reasonable DPF regeneration control and minimize the number of DPF regenerations.

[0117] In order to make the method provided in the embodiment of the present application clearer, Figure 2 and Figure 3 An example of a scenario in which the embodiments of the present application are applicable is described.

[0118] Figure 2 A schematic diagram of a scenario in which the method provided in the embodiment of the present application is applicable is shown in FIG. Figure 2 This scenario includes: vehicle 20, cloud server 30, database 40, and map 50. Vehicle 20 includes: DPF 21, ECU 22, and Tbox 23. DPF 21 is connected to ECU 22, which controls DPF regeneration. ECU 22 includes DPF regeneration factor model 220, and ECU 22 connects to cloud server 30 and map 50 via Tbox 23. Cloud server 30 stores collected DPF regeneration-related data in database 40. Cloud server 30 and map 50 can also exchange information.

[0119] exist Figure 2 In the scenario shown, an example of the DPF regeneration control method provided by the embodiment of the present application can be found in Figure 3 As shown, this may include:

[0120] S301 , the carbon load in the DPF 21 is accumulated while the vehicle 20 is traveling.

[0121] S302 , the ECU 22 determines whether the carbon load of the DPF 21 is greater than or equal to 70% of the driving regeneration limit value. If yes, the ECU 22 executes S303 ; if not, the ECU 22 returns to S301 .

[0122] S303 , the ECU 22 sends a request message 1 to the cloud server 30 via the Tbox 23 , and sends the current latitude and longitude of the vehicle 20 to the map 50 .

[0123] S304, after receiving the request message 1, the cloud server 30 identifies the latitude and longitude of the vehicle 20 from the map 50, and obtains the collected information from the database 40. By analyzing and calculating the collected information, it obtains and sends statistical information 1 to statistical information 10 of 10 road sections (i.e., section 1 to section 10) in the direction of travel to the vehicle 20.

[0124] The statistical information of each road section may include: the number of regenerations that occurred in the section, the efficiency of each regeneration, the percentage of successful or unsuccessful regenerations, the distance of the section, the average vehicle speed, fuel consumption, the average cumulative amount and average cumulative acceleration rate of carbon load, the average temperature upstream of the DPF, etc.

[0125] In step S305 , the DPF regeneration factor model 220 of the ECU 22 determines DPF pressure differences 1 to 10 for each road section based on the statistical information 1 to 10, and calculates regeneration factors 1 to 10 for road sections 1 to 10 based on the statistical information 1 to 10 and the DPF pressure differences 1 to 10, respectively.

[0126] S306 , the DPF regeneration factor model 220 of the ECU 22 determines the maximum value of the regeneration factors 1 to 10, which is recorded as regeneration factor 0, and determines the road section 0 corresponding to the maximum regeneration factor 0.

[0127] S307, the ECU 22 calculates in real time the regeneration distance between the current position and the road section 0. Optionally, the regeneration distance calculated in real time can also be used to remind the user of the distance of DPF regeneration at the current position through a display module such as a meter.

[0128] In step S308 , the ECU 22 determines whether the regeneration distance calculated in real time is less than or equal to 0. If so, the ECU 22 executes step S309 . If not, the ECU 22 returns to execute step S307 .

[0129] In S309 , the ECU 22 controls the DPF 21 to perform DPF regeneration.

[0130] Optionally, after S309, the following steps may also be included:

[0131] At S410 , the ECU 22 sends the regeneration result to the cloud server 30 via the Tbox 23 , and the cloud server 30 saves the regeneration result to the database 40 .

[0132] In this way, a reasonable regeneration timing of the DPF regeneration can be determined based on the back pressure and the regeneration factor, thereby achieving more reasonable DPF regeneration control and reducing the number of DPF regenerations as much as possible.

[0133] It should be noted that the user in the embodiment of the present application can be the driver of the vehicle or the tester of the DPF regeneration control method.

[0134] Accordingly, the embodiment of the present application further provides a DPF regeneration control device 400, such as Figure 4 The device 400 is applied to an ECU, the ECU belongs to the vehicle, and the vehicle also includes a particulate filter (DPF). The device 400 may include: a receiving unit 401, a first determining unit 402, a second determining unit 403, and an indicating unit 404.

[0135] A receiving unit 401 is configured to receive statistical information of a preset number of candidate regeneration sections from a cloud server; wherein the candidate regeneration section is a section between two parking points on the vehicle's route, and the statistical information is parameters related to fuel consumption during DPF regeneration on each of the candidate regeneration sections, collected by the cloud server;

[0136] A first determining unit 402 is configured to determine a regeneration factor of the candidate regeneration section based on the statistical information of the candidate regeneration section and the DPF pressure difference;

[0137] A second determining unit 403 is configured to determine a target regeneration section according to the regeneration factors of the candidate regeneration sections, where the target regeneration section belongs to each of the candidate regeneration sections;

[0138] The instructing unit 404 is configured to instruct the DPF to perform DPF regeneration when the vehicle travels to the target regeneration section.

[0139] Optionally, the DPF pressure difference is related to the fuel consumption of the vehicle without DPF regeneration on the candidate regeneration section, the regeneration factor is nonlinearly positively correlated with the total fuel consumption on the candidate regeneration section, and the total fuel consumption on the candidate regeneration section is the total amount of fuel consumed by the vehicle when traveling the candidate regeneration section when DPF regeneration is performed on the candidate regeneration section.

[0140] Optionally, the apparatus 400 further includes:

[0141] The first sending unit is used to send a request message to the cloud server before receiving the statistical information of the preset number of candidate regeneration sections sent by the cloud server, if it is determined that the proportion of the carbon load of the DPF to the regeneration limit reaches a preset proportion threshold. The request message is used to request the cloud server to send the statistical information of the preset number of candidate regeneration sections on the vehicle's driving route.

[0142] Optionally, the statistical information includes: carbon load, average temperature upstream of the DPF, allowed regeneration time and fuel consumption.

[0143] Optionally, the statistical information includes a total number of regenerations and a number of successful regenerations, and the apparatus 400 further includes: a first obtaining unit, configured to obtain a regeneration efficiency of each candidate regeneration section, wherein the regeneration efficiency is equal to a percentage of the number of successful regenerations to the total number of regenerations;

[0144] The second determining unit 403 is specifically configured to:

[0145] The target regeneration section is determined according to the regeneration factors of the candidate regeneration sections and the regeneration success rates of the candidate regeneration sections.

[0146] Optionally, the statistical information includes the distance and average vehicle speed of the candidate regeneration sections, and the apparatus 400 further includes: a second obtaining unit, configured to obtain a regeneration efficiency of each candidate regeneration section, the regeneration efficiency being equal to the product of the average vehicle speed and the allowed regeneration time divided by the distance;

[0147] The second determining unit 403 is specifically configured to:

[0148] The target regeneration section is determined according to the regeneration factors of the candidate regeneration sections and the regeneration efficiencies of the candidate regeneration sections.

[0149] Optionally, the apparatus 400 further includes:

[0150] a calculation unit, configured to calculate a regeneration distance between the current position of the vehicle and the target regeneration section;

[0151] The second sending unit is configured to send the regeneration distance to a display module of the vehicle, so that a user can determine through the display module that the DPF of the vehicle performs the DPF regeneration after traveling the regeneration distance.

[0152] Optionally, the apparatus 400 further includes:

[0153] a third obtaining unit, configured to obtain a regeneration result of the DPF regeneration after the DPF regeneration is performed;

[0154] The third sending unit is used to send the regeneration result to the cloud server.

[0155] It should be noted that the specific implementation of the DPF regeneration control device 400 and the effects achieved can be found in Figure 1 or Figure 3 Description of the method related embodiments shown.

[0156] In addition, the embodiment of the present application also provides a vehicle 20, such as Figure 5 As shown. The vehicle 20 includes a DPF 21 and an ECU 22.

[0157] The ECU 22 is used to execute Figure 1 or Figure 3 The method shown is used to control the DPF regeneration of the DPF 21. The ECU 22 may be the DPF regeneration control device 400 or a controller integrated with the DPF regeneration control device 400.

[0158] In addition, an embodiment of the present application further provides a processor, the processor belongs to a vehicle, the vehicle also includes a DPF, the processor is used to execute Figure 1 or Figure 3 The method shown controls the DPF regeneration of the DPF 501. The processor may be the ECU 502 in the vehicle 500.

[0159] In addition, the embodiment of the present application also provides a communication system 600, such as Figure 6 The communication system 600 includes Figure 5 The vehicle 20 and the cloud server 30 are shown, wherein:

[0160] The cloud server 30 is configured to send statistical information of a preset number of candidate regeneration sections to the vehicle 20 .

[0161] Through the description of the above embodiments, it can be known that those skilled in the art can clearly understand that all or part of the steps in the above embodiment methods can be implemented by means of software plus a general hardware platform. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a storage medium, such as a read-only memory (ROM) / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network communication device such as a router) to execute the methods described in each embodiment or certain parts of the embodiments of the present application.

[0162] Each embodiment in this specification is described in a progressive manner. The same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for system embodiments and device embodiments, since they are basically similar to method embodiments, the description is relatively simple. For relevant parts, refer to the partial description of the method embodiment. The device and system embodiments described above are merely schematic. The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without making any creative effort.

[0163] The above description is only a preferred embodiment of the present application and is not intended to limit the scope of protection of the present application. It should be noted that those skilled in the art may make several improvements and modifications without departing from the scope of protection of the present application, and such improvements and modifications should also be considered as within the scope of protection of the present application.

Claims

1. A DPF regeneration control method, characterized in that: Applied to an electronic control unit (ECU), the ECU belongs to a vehicle, and the vehicle also includes a DPF. The method includes: receiving statistical information of a preset number of candidate regeneration sections from a cloud server, wherein the candidate regeneration section is a section between two parking points on the vehicle's route, and the statistical information is related parameters of DPF regeneration fuel consumption on each candidate regeneration section collected by the cloud server, the statistical information including: carbon load, average temperature upstream of the DPF, allowed regeneration time, and fuel consumption; Determining a regeneration factor for the candidate regeneration section based on statistical information of the candidate regeneration section and the DPF pressure difference, wherein the regeneration factor is nonlinearly positively correlated with the total fuel consumption on the corresponding candidate regeneration section, where the total fuel consumption on the candidate regeneration section is the total fuel consumed by the vehicle when the DPF is regenerated on the candidate regeneration section; determining a target regeneration section according to the regeneration factors of the candidate regeneration sections; wherein the target regeneration section belongs to the candidate regeneration sections; When the vehicle travels to the target regeneration section, instructing the DPF to perform DPF regeneration; Determining the regeneration factor of the candidate regeneration section based on the statistical information of the candidate regeneration section and the DPF pressure difference includes: inputting the statistical information of the preset number of candidate regeneration sections and the DPF pressure difference of each candidate regeneration section into a DPF regeneration factor model, and the DPF regeneration factor model calculates the regeneration factor of each candidate regeneration section.

2. The method according to claim 1, characterized in that Before receiving statistical information of a preset number of candidate regeneration sections from the cloud server, the method further includes: If it is determined that the ratio of the carbon load of the DPF to the regeneration limit reaches a preset ratio threshold, a request message is sent to the cloud server, and the request message is used to request the cloud server to send statistical information of the preset number of candidate regeneration sections on the vehicle's driving route.

3. The method according to claim 1, characterized in that The statistical information includes the total number of regenerations and the number of successful regenerations. The method further includes: obtaining a regeneration success rate for each candidate regeneration section; wherein the regeneration success rate is equal to the percentage of the number of successful regenerations to the total number of regenerations; The step of determining a target regeneration section according to the regeneration factors of the candidate regeneration sections includes: The target regeneration section is determined according to the regeneration factors of the candidate regeneration sections and the regeneration success rates of the candidate regeneration sections.

4. The method according to claim 1, wherein The statistical information includes the distance and average vehicle speed of the candidate regeneration sections. The method further includes: obtaining a regeneration efficiency for each candidate regeneration section; wherein the regeneration efficiency is equal to the product of the average vehicle speed and the allowed regeneration time divided by the distance; The step of determining a target regeneration section according to the regeneration factors of the candidate regeneration sections includes: The target regeneration section is determined according to the regeneration factors of the candidate regeneration sections and the regeneration efficiencies of the candidate regeneration sections.

5. The method according to any one of claims 1 to 4, characterized in that The method further comprises: Calculating a regeneration distance between the current position of the vehicle and the target regeneration section; The regeneration distance is sent to a display module of the vehicle so that a user can determine through the display module that the DPF of the vehicle performs DPF regeneration after the regeneration distance.

6. The method according to claim 5, characterized in that After the DPF is regenerated, the method further includes: Obtaining a regeneration result of DPF regeneration; The regeneration result is sent to the cloud server.

7. A DPF regeneration control device, characterized in that: Applied to an electronic control unit (ECU), the ECU belonging to a vehicle, the vehicle also including a DPF, the device comprising: a receiving unit, configured to receive statistical information of a preset number of candidate regeneration sections sent by a cloud server, wherein the candidate regeneration sections are sections between two parking points on the vehicle's route, and the statistical information is related parameters of fuel consumption during DPF regeneration on each of the candidate regeneration sections, collected by the cloud server, and the statistical information includes: carbon load, average temperature upstream of the DPF, allowed regeneration time, and fuel consumption; a first determining unit, configured to determine a regeneration factor of the candidate regeneration section based on statistical information of the candidate regeneration section and a DPF pressure difference, wherein the regeneration factor is nonlinearly positively correlated with a total fuel consumption on the corresponding candidate regeneration section, where the total fuel consumption on the candidate regeneration section is a total amount of fuel consumed by the vehicle when the DPF is regenerated on the candidate regeneration section; a second determining unit, configured to determine a target regeneration section according to the regeneration factors of the candidate regeneration sections, wherein the target regeneration section belongs to the candidate regeneration sections; an instructing unit, configured to instruct the DPF to perform DPF regeneration when the vehicle travels to the target regeneration section; The first determining unit is specifically configured to input statistical information of the preset number of candidate regeneration sections and the DPF pressure difference of each candidate regeneration section into a DPF regeneration factor model, and the DPF regeneration factor model calculates the regeneration factor of each candidate regeneration section.

8. A vehicle, characterized in that: The invention comprises a DPF and a processor, wherein the processor is used to execute the method according to any one of claims 1 to 6 to realize regeneration control of the DPF.

9. A communication system, characterized in that: The vehicle and cloud server according to claim 8, wherein: The cloud server is used to send statistical information of a preset number of candidate regeneration sections to the vehicle.

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