Diesel vehicle SCR system failure identification method and system and storage medium

Abstract

The invention provides a diesel vehicle SCR system failure recognition method and system and a storage medium, and the method comprises the steps that vehicle emission real-time test data are obtained, and the vehicle emission real-time test data comprise the combination of CO2 real-time emission data and NOX real-time emission data or the combination of the NOX real-time emission data and the fuel consumption rate; performing correlation analysis on the vehicle emission real-time test data to obtain a correlation result; and identifying the working state of the SCR system of the diesel vehicle according to the correlation result. According to the method, the vehicle emission real-time test data is obtained, correlation analysis is carried out on the CO2 real-time emission data or the fuel consumption rate and the NOX real-time emission data in the vehicle emission real-time test data, whether the SCR system of the diesel vehicle is in the failure state or not can be rapidly recognized, and efficient supervision of the high-emission diesel vehicle in use is supported.

Description

Technical Field

[0001] The present application relates to the field of vehicle supervision, and in particular to a method, system and storage medium for identifying failure of an SCR system of a diesel vehicle. Background Art

[0002] The pollution problem of mobile sources represented by motor vehicles is becoming increasingly prominent, especially nitrogen oxides (NO X ) accounted for 59.65% of the total national emissions and has become a major source of urban atmospheric nitrogen dioxide (NO2) and fine particulate matter (PM 2.5 ) and ozone (O3) pollution. Diesel vehicles account for less than 10% of the total vehicle fleet, and their NO X However, emissions account for 88.4% of total vehicle emissions. X Emission control is a key task in continuously improving my country's air quality.

[0003] In order to reduce pollutant emissions, countries around the world have gradually tightened emission standards in recent years, prompting diesel vehicles to adopt more advanced emission control technologies (such as selective catalytic reduction, SCR). X Compared with National III, the emission limit has been reduced by more than 90%. However, emission test studies in various countries have shown that the actual road NO emissions of diesel vehicles are X The emission level is significantly higher than the laboratory type test limit requirements, and the NO X Emissions have become one of the most difficult pollutants to control in motor vehicles. X The main reasons for the inadequate control of actual road emissions include:

[0004] (1) Manufacturers often falsify or cheat; in order to save costs, car owners often add inferior urea (or even directly add water) or shield the SCR components. These various forms of emission fraud result in actual road pollutant emissions far exceeding the standard limits;

[0005] (2) Companies often only design and optimize products based on regulatory testing requirements, which results in vehicles experiencing NOx in complex actual operating conditions and environments. X Poor emission control. For example, the ideal catalytic temperature range of SCR is 250-500℃. Cold start, low temperature, low load and other factors will lead to NO X Emissions increased significantly.

[0006] Therefore, strengthening the actual road NO of diesel vehicles X Emission regulation will ensure that stricter emission standards are truly effective and promote the NOx reduction of diesel fleets. X SCR system failure (such as shielding of emission control components, severe catalyst degradation, etc.) is the main cause of high-emission vehicle NOX One of the main reasons for the sharp increase in emissions. With the frequent occurrence of diesel vehicle SCR system fraud and excessive emissions, how to quickly and accurately identify high-emission vehicles and achieve diesel vehicle NO X Effective emission regulation has become a core technical issue that needs to be urgently addressed in the current mobile source pollution control. Summary of the invention

[0007] In order to solve one of the above technical problems, the present invention provides a diesel vehicle SCR system failure identification method, system and storage medium.

[0008] A first aspect of an embodiment of the present invention provides a method for identifying failure of a diesel vehicle SCR system, the method comprising:

[0009] Acquire vehicle emission real-time test data, including CO2 real-time emission data and NO X A combination of real-time emissions data, or NO X A combination of real-time emissions data and fuel consumption rates;

[0010] Performing correlation analysis on the vehicle emission real-time test data to obtain correlation results;

[0011] The operating state of the SCR system of the diesel vehicle is identified according to the correlation result.

[0012] Preferably, the process of obtaining the real-time vehicle emission test data includes: collecting on-board test data when the vehicle is traveling on an actual road or obtaining the real-time vehicle emission test data through remote online monitoring data.

[0013] Preferably, the vehicle emission real-time test data includes CO2 real-time emission data and NO X Real-time emission data, the CO2 real-time emission data is the real-time CO2 emission concentration, the NO X Real-time emission data is NO X Real-time emission concentration, the process of performing correlation analysis on the real-time test data of vehicle emissions to obtain correlation results, and identifying the working state of the SCR system of the diesel vehicle according to the correlation results comprises:

[0014] Calculate real-time emission concentration of CO2 and NO X Correlation coefficient of real-time emission concentration;

[0015] When the real-time emission concentration of CO2 and NO X When the correlation coefficient of the real-time emission concentration is greater than a preset value, it is identified that the working state of the SCR system of the diesel vehicle is a failure state.

[0016] Preferably, the vehicle emission real-time test data includes CO2 real-time emission data and NO X Real-time emission data, the real-time CO2 emission data is the real-time CO2 emission concentration, the NO X Real-time emission data is NO X Real-time emission concentration, the process of performing correlation analysis on the real-time test data of vehicle emissions to obtain correlation results, and identifying the working state of the SCR system of the diesel vehicle according to the correlation results comprises:

[0017] According to the real-time emission concentration of CO2 and NO X The real-time emission concentrations are used to obtain the CO2 emission rate and NO X Emission rate;

[0018] Calculate the emission rate of CO2 and NO X Correlation coefficient of emission rate;

[0019] When the CO2 emission rate and NO X When the correlation coefficient of the emission rate is greater than a preset value, it is identified that the working state of the SCR system of the diesel vehicle is a failure state.

[0020] Preferably, the vehicle emission real-time test data includes fuel consumption rate and NO X Real-time emissions data, the NO X Real-time emission data is NO X Real-time emission concentration, the process of performing correlation analysis on the real-time test data of vehicle emissions to obtain correlation results, and identifying the working state of the SCR system of the diesel vehicle according to the correlation results comprises:

[0021] According to the NO X Real-time emission concentration to obtain NO X Emission rate;

[0022] Calculate fuel consumption and NO X Correlation coefficient of emission rate;

[0023] When the fuel consumption rate and NO X When the correlation coefficient of the emission rate is greater than a preset value, it is identified that the working state of the SCR system of the diesel vehicle is a failure state.

[0024] Preferably, after acquiring the vehicle emission real-time test data, the method further comprises: aligning the time axis of the vehicle emission real-time test data.

[0025] A second aspect of an embodiment of the present invention provides a diesel vehicle SCR system failure identification system, the system comprising:

[0026] The data acquisition module is used to obtain real-time vehicle emission test data, including real-time CO2 emission data and NO X A combination of real-time emissions data, or NO X A combination of real-time emissions data and fuel consumption rates;

[0027] A correlation analysis module, used for performing correlation analysis on the vehicle emission real-time test data to obtain correlation results;

[0028] An identification module is used to identify the working state of the SCR system of the diesel vehicle according to the correlation result.

[0029] Preferably, the data acquisition module acquires the real-time vehicle emission test data by collecting on-board test data when the vehicle is traveling on an actual road or by remote online monitoring data.

[0030] Preferably, the system further comprises a time axis alignment module for aligning the time axis of the vehicle emission real-time test data.

[0031] A third aspect of an embodiment of the present invention provides a computer storage medium, including computer instructions. When the computer instructions are executed on an electronic device, the electronic device executes the method described in the first aspect of the embodiment of the present invention.

[0032] The beneficial effects of the present invention are as follows: by acquiring real-time vehicle emission test data and performing correlation analysis on multiple data in the real-time vehicle emission test data, the present invention can quickly identify whether the SCR system of a diesel vehicle is in a failed state, thereby supporting efficient supervision of high-emission diesel vehicles in use. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0034] Figure 1 This is a flow chart of a method for identifying failure of a diesel vehicle SCR system according to Embodiment 1 of the present invention;

[0035] Figure 2 The real-time emission concentration of CO2 and NOx under different working conditions of the SCR system of diesel vehicles described in Example 1 of the present invention X Schematic diagram of the correlation of real-time emission concentrations;

[0036] Figure 3 The CO2 emission rate and NO emission rate of different diesel vehicle SCR systems under working conditions described in Example 1 of the present invention are X Schematic diagram of the correlation of emission rate;

[0037] Figure 4 The fuel consumption rate and NO under different working conditions of the SCR system of diesel vehicles described in Example 1 of the present invention are shown in FIG. X Schematic diagram of the correlation of emission rate;

[0038] Figure 5 This is a flow chart of another method for identifying failure of a diesel vehicle SCR system according to Embodiment 1 of the present invention;

[0039] Figure 6 This is a schematic diagram of the principle of a diesel vehicle SCR system failure identification system according to Embodiment 2 of the present invention;

[0040] Figure 7 This is a schematic diagram of the principle of another diesel vehicle SCR system failure identification system described in Example 2 of the present invention. DETAILED DESCRIPTION

[0041] In order to make the technical solutions and advantages in the embodiments of the present application more clearly understood, the exemplary embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than an exhaustive list of all the embodiments. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict.

[0042] Example 1

[0043] like Figure 1 As shown, this embodiment provides a method for identifying failure of a diesel vehicle SCR system, the method comprising:

[0044] S101. Acquire real-time vehicle emission test data.

[0045] Specifically, for a diesel vehicle to be identified, real-time vehicle emission test data can be collected. The real-time vehicle emission test data includes real-time CO2 emission data and NO X A combination of real-time emissions data, or NO X A combination of real-time emission data and fuel consumption rate. The real-time emission test data of the vehicle can be collected by actual road vehicle testing or remote online monitoring. Among them, the actual road vehicle testing method is to install a portable emission test system on the vehicle, and collect the test data of the vehicle when it is driving on the actual road through the portable emission test system. The remote online monitoring method is to obtain the real-time emission test data of the vehicle in real time through the remote OBD online monitoring data. The above two data collection methods can be selected according to the actual situation.

[0046] S102, performing correlation analysis on the vehicle emission real-time test data to obtain correlation results;

[0047] S103: Identify the working state of the SCR system of the diesel vehicle according to the correlation result.

[0048] Specifically, this embodiment mainly performs correlation analysis on two types of data in the real-time vehicle emission test data, and can identify the working status of the diesel vehicle SCR system through the results of the correlation analysis. Among them, the two types of data are mainly CO2 real-time emission data and NO X Real-time emission data. This embodiment lists three methods for identifying the working status of the SCR system of a diesel vehicle through correlation analysis, specifically:

[0049] The first method is to use the real-time emission concentration of CO2 and NO X Correlation analysis of real-time emission concentrations identifies the working status of the SCR system of diesel vehicles.

[0050] First, the real-time CO2 emission concentration (%) and NO emission were obtained through actual road vehicle testing or remote online monitoring. X Real-time emission concentration (ppm). The real-time emission concentration of CO2 and NO X The real-time emission concentration is instantaneous data every second, which has strong real-time performance. Then the real-time emission concentration of CO2 and NO X Correlation coefficient (Pearson's r) of real-time emission concentration. Real-time emission concentration of CO2 and NO X The real-time emission concentration is highly correlated. When the correlation coefficient r>0.85, it can be judged that the SCR system of the diesel vehicle is completely failed or not working. If the SCR system of the diesel vehicle is working normally, then the real-time emission concentration of CO2 and NO X The correlation of real-time emission concentration is very weak, r < 0.5, such as Figure 2 Therefore, the real-time emission concentration of CO2 and NO X The correlation coefficient of real-time emission concentration is used to intuitively identify the working status of the SCR system of diesel vehicles, and the real-time emission concentration of CO2 and NO X When the correlation coefficient of the real-time emission concentration is greater than a preset value, the working state of the SCR system of the diesel vehicle is a failure state, and it may be completely failed or may not be put into operation.

[0051] The second method is to use the CO2 emission rate and NO X Correlation analysis of emission rates identifies the working status of the SCR system of diesel vehicles.

[0052] Due to the CO2 emission rate and NO XThe emission rate cannot be directly obtained through the sensor / test equipment. Therefore, the CO2 emission rate and NO X Before the correlation analysis of emission rate, it is necessary to first calculate the CO2 emission rate and NO X This embodiment obtains the real-time emission concentration (%) of CO2 and NO through actual road vehicle testing or remote online monitoring. X Real-time emission concentration (ppm), and based on the real-time emission concentration of CO2 and NO X The real-time emission concentrations were used to obtain the CO2 emission rate (g / s) and NO X Emission rate (g / s), the calculation process is as follows:

[0053]

[0054] Among them, ER i is the emission rate of pollutant i, in mg / s; C i is the real-time emission concentration of pollutant i, in ppm; M i is the molar mass of pollutant i, in g / mol; V0 is the molar volume of ideal gas under standard conditions, in L / mol; Q Exh. is the real-time exhaust flow rate, in kg / s; ρ Exh. is the exhaust density, in kg / m 3 According to GB 17691-2018, the exhaust density of diesel vehicles is 1.2943kg / m 3 .

[0055] In the above formula, M i For a certain gas, V0, Q Exh. and ρ Exh. The value is the same for different pollutants i. Therefore, ER i The relevance of C i Based on this, the real-time emission concentration of CO2 and NO X The real-time emission concentrations are used to obtain the CO2 emission rate and NO X Emission rate. CO2 emission rate and NO X The emission rates are highly correlated, and the correlation coefficient r>0.85, which means that the SCR system of the diesel vehicle is completely failed or not working. If the SCR system of the diesel vehicle is working normally, then the CO2 emission rate and NO X The correlation of emission rate is very weak, r < 0.5, such as Figure 3 Therefore, the CO2 emission rate and NO X The correlation coefficient of emission rate is used to intuitively identify the working status of the SCR system of diesel vehicles, and the CO2 emission rate and NO XWhen the correlation coefficient of the emission rate is greater than a preset value, the working state of the SCR system of the diesel vehicle is a failure state, and it may be completely failed or may not be put into operation.

[0056] The third method is to use fuel consumption rate and NO X Correlation analysis of emission rates identifies the working status of the SCR system of diesel vehicles.

[0057] Fuel consumption rate is directly related to CO2 emission rate, so it can also be based on fuel consumption rate (g / s) and NO X The correlation analysis of emission rate (g / s) identifies the working state of the SCR system of diesel vehicles. X The emission rate can be measured by NO X The real-time emission concentration is calculated. The calculation process can be found in the second method mentioned above and will not be described here. Figure 4 As shown, fuel consumption rate and NO X The emission rate is highly correlated, and the correlation coefficient r>0.85, which means that the SCR system of the diesel vehicle is completely failed or not working. If the SCR system of the diesel vehicle is working normally, then the fuel consumption rate and NO X The correlation between the emission rate is very weak, r < 0.5. Therefore, the fuel consumption rate and NO X The correlation coefficient of emission rate is used to intuitively identify the working status of the SCR system of diesel vehicles, and the fuel consumption rate and NO X When the correlation coefficient of the emission rate is greater than a preset value, the working state of the SCR system of the diesel vehicle is a failure state, and it may be completely failed or may not be put into operation.

[0058] This embodiment obtains real-time vehicle emission test data and performs correlation analysis on multiple data in the real-time vehicle emission test data, so as to quickly identify whether the SCR system of a diesel vehicle is in a failed state, thereby supporting efficient supervision of high-emission diesel vehicles in use.

[0059] In some optional embodiments, Figure 5 As shown, after obtaining the real-time test data of vehicle emissions, the diesel vehicle SCR system failure identification method also includes: a step of aligning the time axis of the real-time test data of vehicle emissions to uniformly align different time series data on the time axis for further data analysis and processing. The method of time axis alignment is not specifically limited in this embodiment.

[0060] Example 2

[0061] Corresponding to Example 1, Figure 6 As shown, this embodiment provides a diesel vehicle SCR system failure identification system, the system comprising:

[0062] The data acquisition module is used to obtain real-time vehicle emission test data, which includes real-time CO2 emission data and NO X A combination of real-time emissions data, or NO X A combination of real-time emissions data and fuel consumption rates;

[0063] A correlation analysis module, used for performing correlation analysis on the vehicle emission real-time test data to obtain correlation results;

[0064] An identification module is used to identify the working state of the SCR system of the diesel vehicle according to the correlation result.

[0065] In some optional embodiments, the data acquisition module acquires the real-time vehicle emission test data by collecting on-board test data when the vehicle is traveling on an actual road or by remote online monitoring data.

[0066] In some optional embodiments, Figure 7 As shown, the diesel vehicle SCR system failure identification system also includes a time axis alignment module for aligning the time axis of the vehicle emission real-time test data to uniformly align different time series data on the time axis for further data analysis and processing. The method of time axis alignment is not specifically limited in this embodiment.

[0067] The working principle and implementation process of the diesel vehicle SCR system failure identification system proposed in this embodiment can refer to the contents recorded in Example 1, and this embodiment will not be repeated. This embodiment can quickly identify whether the diesel vehicle SCR system is in a failed state by acquiring vehicle emission real-time test data and performing correlation analysis on multiple data in the vehicle emission real-time test data, thereby supporting efficient supervision of high-emission diesel vehicles in use.

[0068] Example 3

[0069] This embodiment provides a computer storage medium including computer instructions. When the computer instructions are executed on an electronic device, the electronic device executes the following method:

[0070] Acquire vehicle emission real-time test data, including CO2 real-time emission data and NO X A combination of real-time emissions data, or NO X A combination of real-time emissions data and fuel consumption rates;

[0071] Performing correlation analysis on the vehicle emission real-time test data to obtain correlation results;

[0072] The operating state of the SCR system of the diesel vehicle is identified according to the correlation result.

[0073] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for identifying failure of a diesel vehicle SCR system, characterized in that: The method comprises: Acquire vehicle emission real-time test data, including CO2 real-time emission data and NO X A combination of real-time emissions data, or NO X A combination of real-time emissions data and fuel consumption rates; Performing correlation analysis on the vehicle emission real-time test data to obtain correlation results; The operating state of the SCR system of the diesel vehicle is identified according to the correlation result.

2. The method according to claim 1, characterized in that The process of obtaining the real-time vehicle emission test data includes: collecting on-board test data when the vehicle is traveling on an actual road or obtaining the real-time vehicle emission test data through remote online monitoring data.

3. The method according to claim 1, characterized in that The vehicle emission real-time test data includes CO2 real-time emission data and NO X Real-time emission data, the real-time CO2 emission data is the real-time CO2 emission concentration, the NO X Real-time emission data for NO X Real-time emission concentration, the process of performing correlation analysis on the real-time test data of vehicle emissions to obtain correlation results, and identifying the working state of the SCR system of the diesel vehicle according to the correlation results comprises: Calculate real-time emission concentration of CO2 and NO X Correlation coefficient of real-time emission concentration; When the real-time emission concentration of CO2 and NO X When the correlation coefficient of the real-time emission concentration is greater than a preset value, it is identified that the working state of the SCR system of the diesel vehicle is a failure state.

4. The method according to claim 1, characterized in that: The vehicle emission real-time test data includes CO2 real-time emission data and NO X Real-time emission data, the CO2 real-time emission data is the real-time CO2 emission concentration, the NO X Real-time emission data for NO X Real-time emission concentration, the process of performing correlation analysis on the real-time test data of vehicle emissions to obtain correlation results, and identifying the working state of the SCR system of the diesel vehicle according to the correlation results comprises: According to the real-time emission concentration of CO2 and NO X The real-time emission concentrations are used to obtain the CO2 emission rate and NO X Emission rate; Calculate the emission rate of CO2 and NO X Correlation coefficient of emission rate; When the CO2 emission rate and NO X When the correlation coefficient of the emission rate is greater than a preset value, it is identified that the working state of the SCR system of the diesel vehicle is a failure state.

5. The method according to claim 1, characterized in that The vehicle emission real-time test data includes fuel consumption rate and NO X Real-time emissions data, the NO X Real-time emission data for NO X Real-time emission concentration, the process of performing correlation analysis on the real-time test data of vehicle emissions to obtain correlation results, and identifying the working state of the SCR system of the diesel vehicle according to the correlation results comprises: According to the NO X Real-time emission concentration to obtain NO X Emission rate; Calculate fuel consumption and NO X Correlation coefficient of emission rate; When the fuel consumption rate and NO X When the correlation coefficient of the emission rate is greater than a preset value, it is identified that the working state of the SCR system of the diesel vehicle is a failure state.

6. The method according to claim 1, characterized in that After acquiring the vehicle emission real-time test data, the method further includes: aligning the time axis of the vehicle emission real-time test data.

7. A diesel vehicle SCR system failure identification system, characterized in that: The system comprises: The data acquisition module is used to obtain real-time vehicle emission test data, including real-time CO2 emission data and NO X A combination of real-time emissions data, or NO X A combination of real-time emissions data and fuel consumption rates; A correlation analysis module, used for performing correlation analysis on the vehicle emission real-time test data to obtain correlation results; An identification module is used to identify the working state of the SCR system of the diesel vehicle according to the correlation result.

8. The system according to claim 7, characterized in that The data acquisition module acquires the real-time vehicle emission test data by collecting on-board test data when the vehicle is traveling on an actual road or by remote online monitoring data.

9. The system according to claim 7, characterized in that The system further comprises a time axis alignment module for aligning the time axis of the vehicle emission real-time test data.

10. A computer storage medium, characterized in that: The method comprises computer instructions. When the computer instructions are executed on an electronic device, the electronic device executes the method according to any one of claims 1 to 6.

Images