Three-way catalytic converter efficiency monitoring and optimizing method based on sensor technology

Abstract

The invention relates to the technical field of automobile exhaust treatment, in particular to a three-way catalytic converter efficiency monitoring and optimizing method based on the sensor technology, and the method comprises the steps: collecting vehicle operation data and road attribute data, and collecting catalytic environment data and catalyst attribute data of a three-way catalytic converter; constructing a pollutant emission model of the vehicle tail gas and predicting pollutant emission characteristic data in the vehicle tail gas; the catalytic environment suitability of the three-way catalytic converter is analyzed based on the catalytic environment data; analyzing the catalytic load suitability of the three-way catalytic converter based on the catalyst attribute data and the pollutant emission characteristic data; and generating optimization suggestions by integrating the analysis results of the catalytic environment suitability and the catalytic load suitability. According to the method, the catalytic environment suitability and the catalytic load suitability of the three-way catalytic converter are quantitatively analyzed, so that the catalytic matching degree and the catalytic efficiency of the three-way catalytic converter are effectively improved.

Description

Technical Field

[0001] This application relates to the technical field of automotive exhaust treatment, and particularly to a method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology. Background Art

[0002] With the rapid development of the automotive industry, the problem of environmental pollution caused by vehicle exhaust emissions has become increasingly prominent. As the core component of the gasoline vehicle exhaust after-treatment system, the three-way catalytic converter (TWC) converts harmful pollutants such as carbon monoxide, hydrocarbons, and nitrogen oxides generated during the operation of the vehicle engine into harmless substances such as water vapor, carbon dioxide, and nitrogen for emission, thereby effectively purifying the vehicle exhaust.

[0003] However, the catalytic efficiency of the three-way catalytic converter is affected by various factors. For example, the type and activity of the catalyst, the operating temperature of the catalytic converter, the exhaust pressure difference, and the composition concentration of pollutants will all affect the catalytic effect of the three-way catalytic converter. If the three-way catalytic converter operates under non-ideal conditions for a long time, it will lead to a decrease in catalytic efficiency or even failure, which will further exacerbate vehicle exhaust pollution.

[0004] Traditional monitoring of three-way catalytic converters mainly relies on the oxygen sensor signal in the on-vehicle emission after-treatment system and the on-board diagnostics (OBD). However, it usually only detects the failure state of the catalytic converter and lacks quantitative analysis of the catalytic process and evaluation of catalytic adaptability. During the actual driving process of the vehicle, the pollutant emission characteristics will change dynamically due to changes in the vehicle driving state and road attributes. For example, under low-speed congestion or idle conditions, the engine combustion is incomplete, and the proportion of carbon monoxide and hydrocarbons in the exhaust gas is relatively high. Under high-speed or heavy-load acceleration conditions, the combustion temperature rises, and the generation amount of nitrogen oxides increases significantly. The existing technology cannot perform adaptability evaluation for the emission requirements of different pollutants and the catalyst load capacity, resulting in a mismatch between the catalyst components and the pollutant conversion requirements, and further leading to the risk of exceeding the exhaust emission standard. Summary of the Invention

[0005] In order to overcome the defects and deficiencies of the existing technology, this application provides a method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology. By quantitatively analyzing the catalytic environment adaptability and catalytic load adaptability of the three-way catalytic converter, the catalytic matching degree and catalytic efficiency of the three-way catalytic converter are effectively improved.

[0006] To achieve the above objective, this application adopts the following technical solutions:

[0007] In a first aspect, the present application provides a method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology, including the following steps:

[0008] Collect vehicle operation data and road attribute data during vehicle driving, and collect catalytic environment data and catalyst attribute data during the operation of the three-way catalytic converter;

[0009] Construct a pollutant emission model for vehicle exhaust and use the pollutant emission model to predict pollutant emission characteristic data in vehicle exhaust;

[0010] Analyze the catalytic environment adaptability of the three-way catalytic converter based on the catalytic environment data;

[0011] Analyze the catalytic load adaptability of the three-way catalytic converter based on the catalyst attribute data and the pollutant emission characteristic data;

[0012] Generate optimization suggestions based on the analysis results of the catalytic environment adaptability and the catalytic load adaptability.

[0013] Preferably, the specific steps for analyzing the catalytic environment adaptability of the three-way catalytic converter include:

[0014] Obtain the catalytic environment data during the operation of the three-way catalytic converter, and the catalytic environment data includes the working temperature data and the working pressure difference data of the three-way catalytic converter;

[0015] Calculate the catalytic environment adaptability factor according to the working temperature data and the working pressure difference data. The catalytic environment adaptability factor is used to quantitatively analyze the catalytic environment adaptability of the three-way catalytic converter. The calculation formula of the catalytic environment adaptability factor is:

[0016]

[0017] In the formula, T cat is the working temperature data of the three-way catalytic converter, T opt is the median of the ideal working temperature range of the three-way catalytic converter, σ T is the standard deviation of the ideal working temperature range of the three-way catalytic converter, P cat is the working pressure difference data of the three-way catalytic converter, P opt is the median of the ideal working pressure difference range of the three-way catalytic converter, σ P is the standard deviation of the ideal working pressure difference range of the three-way catalytic converter, α is the working temperature adaptability weight, β is the working pressure difference adaptability weight, and η E is the catalytic environment adaptability factor.

[0018] Preferably, the specific steps for analyzing the catalytic load adaptability of the three-way catalytic converter include:

[0019] Analyze the catalytic activity of each catalyst component for specific pollutants and construct a catalyst loading capacity vector in combination with the catalyst mass;

[0020] Construct a pollutant emission demand vector based on pollutant emission characteristic data;

[0021] Calculate the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor through the catalyst loading capacity vector and the pollutant emission demand vector;

[0022] Take the product of the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor as the catalytic load adaptability factor, which is used to analyze the catalytic load adaptability of the three-way catalytic converter.

[0023] Preferably, the specific steps for constructing the catalyst loading capacity vector include:

[0024] Determine the catalytic ability coefficient of each catalyst component for specific pollutants and the mass of each catalyst component through catalyst attribute data;

[0025] Take the product of the catalytic ability coefficient of each catalyst component for specific pollutants and the corresponding catalyst component mass as the loading capacity of the catalyst for specific pollutants;

[0026] Construct a catalyst loading capacity vector through the loading capacity of the catalyst for different types of pollutants.

[0027] Preferably, the specific steps for calculating the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor include:

[0028] Take the cosine similarity between the catalyst loading capacity vector and the pollutant emission demand vector as the catalytic load structure adaptability factor;

[0029] Take the ratio of the modulus length of the pollutant emission demand vector to the modulus length of the catalyst loading capacity vector as the total catalyst load ratio and calculate the catalytic load capacity adaptability factor through the total catalyst load ratio. The calculation formula for the catalytic load capacity adaptability factor is:

[0030]

[0031] In the formula, ||D|| is the modulus length of the pollutant emission demand vector, ||C|| is the modulus length of the catalyst loading capacity vector, δ is the catalytic load adaptability weight, and η R is the catalytic load capacity adaptability factor.

[0032] Preferably, the pollutant emission model is constructed based on a microscopic exhaust emission model. By combining the vehicle operation data and road attribute data collected during vehicle driving with the microscopic exhaust emission model, the corresponding pollutant emission characteristic data is predicted. Among them, the microscopic exhaust emission model is any one of the CMEM model and the MOVES model.

[0033] Preferably, the specific steps for generating optimization suggestions based on the comprehensive analysis results of catalytic environment adaptability and catalytic load adaptability include:

[0034] When the catalytic environment adaptability factor is less than the preset catalytic environment adaptability threshold, it is recommended to optimize the catalytic environment adaptability. The catalytic environment adaptability optimization measures include adding a heat insulation and heat preservation structure to the exhaust system and replacing the catalyst carrier;

[0035] When the catalytic load adaptability factor is less than the preset catalytic load adaptability threshold, it is recommended to optimize the catalytic load adaptability. The catalytic load adaptability optimization measures include supplementing the loading amount of specific catalyst components and replacing the three-way catalytic converter;

[0036] When the catalytic environment adaptability factor is greater than or equal to the preset catalytic environment adaptability threshold and the catalytic load adaptability factor is greater than or equal to the preset catalytic load adaptability threshold, the current operating state of the three-way catalytic converter remains unchanged.

[0037] In a second aspect, the present application provides a three-way catalytic converter efficiency monitoring and optimization system based on sensor technology, including:

[0038] A data acquisition module for collecting vehicle operation data and road attribute data during vehicle driving, and collecting catalytic environment data and catalyst attribute data during the operation of the three-way catalytic converter;

[0039] A pollutant emission model construction module for constructing a pollutant emission model of vehicle exhaust and predicting pollutant emission characteristic data in vehicle exhaust using the pollutant emission model;

[0040] A catalytic environment adaptability analysis module for analyzing the catalytic environment adaptability of the three-way catalytic converter based on catalytic environment data;

[0041] A catalytic load adaptability analysis module for analyzing the catalytic load adaptability of the three-way catalytic converter based on catalyst attribute data and pollutant emission characteristic data;

[0042] An optimization suggestion generation module for generating optimization suggestions based on the comprehensive analysis results of catalytic environment adaptability and catalytic load adaptability.

[0043] In a third aspect, the present application provides an electronic device, including: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory, and the processor executes a method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology by calling the computer program stored in the memory.

[0044] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions, which when run on a computer, cause the computer to execute a method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology.

[0045] Compared with the prior art, the present application has the following advantages and beneficial effects:

[0046] By constructing a catalytic environment adaptability factor and a catalytic load adaptability factor, the present application realizes the quantitative analysis of the operating conditions of the three-way catalytic converter and the catalytic ability of the catalyst. By improving the working efficiency and adaptability of the three-way catalytic converter, the emission level of vehicle exhaust pollutants is effectively reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, objectives, and advantages of the present application will become more obvious:

[0048] Figure 1 is an overall flowchart of a method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology provided by an embodiment of the present application;

[0049] Figure 2 is a structural schematic diagram of a system for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology provided by an embodiment of the present application;

[0050] Figure 3 is a structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0051] The technical solution of the present application will be described in detail below through the drawings and specific embodiments. It should be understood that the specific features in the embodiments of the present application and the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. Without conflict, the technical features in the embodiments of the present application and the embodiments can be combined with each other.

[0052] Please refer to Figure 1 , Figure 1 which is an overall flowchart of a method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology provided by an embodiment of the present application, and specifically includes the following steps:

[0053] S110: Collect vehicle operation data and road attribute data during vehicle driving, and collect catalytic environment data and catalyst attribute data during the operation of the three-way catalytic converter. Among them, the vehicle operation data includes vehicle speed, vehicle acceleration, engine load, throttle opening, intake and exhaust temperature, and air-fuel ratio, and the road attribute data includes road alignment and road gradient.

[0054] S120: Build a pollutant emission model for vehicle exhaust and use the pollutant emission model to predict the pollutant emission characteristic data in vehicle exhaust;

[0055] By integrating vehicle operation data and road attribute data and running a mature microscopic exhaust emission model, it is possible to effectively predict the pollutant emission characteristics under different working conditions, and then depict the dynamic emission law of pollutants under different working conditions, providing data support for subsequent analysis of the load adaptability of the three-way catalytic converter. The pollutant emission model is built based on the microscopic exhaust emission model. By combining the collected vehicle operation data and road attribute data during vehicle driving with the microscopic exhaust emission model, the corresponding pollutant emission characteristic data is predicted. Among them, the microscopic exhaust emission model is any one of the CMEM model and the MOVES model. Taking the CMEM model as an example, the CMEM (Comprehensive Modal Emissions Model) model is a microscopic exhaust emission model. It predicts the pollutant emission characteristics of different types of vehicles under different working conditions based on the vehicle operation state and road attributes. The CMEM model is based on the vehicle mode, divides the driving process into several working condition segments (such as acceleration, deceleration, and constant speed, etc.), and estimates the instantaneous engine load and fuel consumption based on the dynamic characteristics of each working condition segment, and then predicts the emissions of various pollutants such as hydrocarbons, carbon monoxide, and nitrogen oxides. The construction process of the CMEM model includes: (1) Establish a vehicle dynamics model based on vehicle type parameters and calculate the traction power required per unit time; (2) Estimate the instantaneous fuel consumption rate and air-fuel ratio based on the engine efficiency and load curve; (3) Combine the fuel type and combustion conditions to establish an emission factor function and estimate the emissions of various pollutants per unit time; (4) Drive the model to run through the measured vehicle operation data to obtain high-time-resolution pollutant emission characteristic data. The CMEM model is widely used in traffic emission modeling research because of its sensitive response to instantaneous working condition changes.

[0056] S130: Analyze the catalytic environment adaptability of the three-way catalytic converter based on the catalytic environment data;

[0057] The catalytic reaction of a three-way catalytic converter highly depends on its working temperature, working pressure difference, and catalytic environment. An appropriate working temperature is a prerequisite for ensuring the catalyst activity and reaction rate. Only when the working temperature is within the ideal working temperature range can efficient conversion of hydrocarbons, carbon monoxide, and nitrogen oxides be achieved. When the working temperature deviates from this range, the catalytic efficiency will drop significantly, even leading to catalyst sintering or deactivation. At the same time, the working pressure difference reflects the flow resistance and smoothness of the exhaust gas in the catalytic converter. An excessive working pressure difference may indicate catalytic converter blockage or carrier aging, while a too small one may result in gas flow short - circuit or insufficient contact, both of which will weaken the effective reaction between the exhaust gas and the catalyst. Therefore, collecting and analyzing catalytic environment data is the basis for ensuring catalytic reaction efficiency and catalytic stability. The specific steps for analyzing the catalytic environment adaptability of a three-way catalytic converter are as follows:

[0058] Obtain the catalytic environment data during the operation of the three-way catalytic converter. The catalytic environment data includes the working temperature data and working pressure difference data of the three-way catalytic converter;

[0059] Calculate the catalytic environment adaptability factor based on the working temperature data and working pressure difference data. The catalytic environment adaptability factor is used to quantitatively analyze the catalytic environment adaptability of the three-way catalytic converter. The calculation formula for the catalytic environment adaptability factor is:

[0060]

[0061] In the formula, T cat is the working temperature data of the three-way catalytic converter, T opt is the median of the ideal working temperature range of the three-way catalytic converter, where, T max is the upper temperature limit of the ideal working temperature range, T min is the lower temperature limit of the ideal working temperature range. When T cat = T opt it means that the working temperature of the three-way catalytic converter is in the optimal temperature state, σ T is the standard deviation of the ideal working temperature range of the three-way catalytic converter. The larger σ T is, the wider the temperature difference fluctuation range that the three-way catalytic converter can accept. P cat is the working pressure difference data of the three-way catalytic converter, P opt is the median of the ideal working pressure difference range of the three-way catalytic converter, σ P is the standard deviation of the ideal working pressure difference range of the three-way catalytic converter, α is the working temperature adaptability weight, β is the working pressure difference adaptability weight, and η E is the catalytic environment adaptability factor.

[0062] S140: Analyze the catalytic load adaptability of the three-way catalytic converter based on catalyst property data and pollutant emission characteristic data;

[0063] The catalytic load adaptability of the three-way catalytic converter is a key indicator to measure the matching degree between its catalyst composition and the actual pollutant emission requirements, directly determining its purification efficiency and response ability. Different types of pollutants have different dependencies on catalyst components. If the catalyst component ratio or total loading capacity cannot meet the actual emission structure and concentration level of pollutants in the exhaust gas, problems such as catalyst overload, insufficient local reaction, or low catalytic efficiency will occur. Therefore, the catalytic load adaptability not only affects the conversion effect of pollutants but also relates to the catalyst's lifespan, emission compliance rate, and long-term stability of the vehicle's environmental performance. The specific steps for analyzing the catalytic load adaptability of the three-way catalytic converter include:

[0064] Analyze the catalytic activity of each catalyst component for specific pollutants and construct a catalyst load capacity vector in combination with the catalyst mass;

[0065] Construct a pollutant emission demand vector through pollutant emission characteristic data;

[0066] Calculate the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor through the catalyst load capacity vector and the pollutant emission demand vector;

[0067] Take the product of the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor as the catalytic load adaptability factor, and the catalytic load adaptability factor is used to analyze the catalytic load adaptability of the three-way catalytic converter;

[0068] By quantifying the catalytic ability of each catalyst component for different types of pollutants and combining its actual loading mass, it scientifically reflects the actual load capacity of the entire catalytic system when dealing with specific pollutants. Integrating the load capacity into a vector form helps to intuitively represent and analyze the catalytic performance structure in a multi-dimensional space and provides a data basis for subsequent vector matching calculations with pollutant emission requirements. The specific steps for constructing the catalyst load capacity vector include:

[0069] Determine the catalytic ability coefficient of each catalyst component for specific pollutants and the mass of each catalyst component through catalyst property data;

[0070] Take the product of the catalytic ability coefficient of each catalyst component for specific pollutants and the corresponding catalyst component mass as the load capacity of the catalyst for specific pollutants;

[0071] Construct a catalyst load capacity vector through the load capacity of the catalyst for different types of pollutants;

[0072] The catalytic load structure adaptability factor quantitatively measures the matching degree between the catalyst component and the type and proportion of pollutants by calculating the cosine similarity between the catalyst load capacity vector and the pollutant emission demand vector, reflecting the catalytic structure matching situation. The catalytic load capacity adaptability factor is based on the ratio of vector norms, reflecting the capacity matching situation between the total catalyst capacity and the total actual pollution load, and reflecting the adaptability of sufficient catalytic intensity. The specific steps for calculating the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor are as follows:

[0073] Take the cosine similarity between the catalyst load capacity vector and the pollutant emission demand vector as the catalytic load structure adaptability factor;

[0074] Take the ratio of the norm of the pollutant emission demand vector to the norm of the catalyst load capacity vector as the total catalyst load ratio, and calculate the catalytic load capacity adaptability factor through the total catalyst load ratio. The calculation formula for the catalytic load capacity adaptability factor is:

[0075]

[0076] In the formula, ||D|| is the norm of the pollutant emission demand vector, and ||C|| is the norm of the catalyst load capacity vector. is the total catalyst load ratio. Indicates that the catalytic load capacity adaptability factor is only enabled when the pollutant emission demand exceeds the catalyst load capacity. δ is the catalytic load adaptability weight, and η R is the catalytic load capacity adaptability factor.

[0077] S150: Generate optimization suggestions by integrating the analysis results of catalytic environment adaptability and catalytic load adaptability;

[0078] Through the linkage analysis of the catalytic environment adaptability factor and the catalytic load adaptability factor, the key problems affecting the catalytic efficiency can be effectively identified, namely the catalytic environment matching problem or the catalytic capacity matching problem, and targeted optimization measures can be generated. The specific steps for generating optimization suggestions by integrating the analysis results of catalytic environment adaptability and catalytic load adaptability are as follows:

[0079] When the catalytic environment adaptability factor is less than the preset catalytic environment adaptability threshold, it is recommended to optimize the catalytic environment adaptability. The catalytic environment adaptability optimization measures include adding a heat insulation and heat preservation structure to the exhaust system and replacing the catalyst carrier;

[0080] When the catalytic load adaptability factor is less than the preset catalytic load adaptability threshold, it is recommended to optimize the catalytic load adaptability. The catalytic load adaptability optimization measures include supplementing the loading amount of specific catalyst components and replacing the three-way catalytic converter;

[0081] When the catalytic environment adaptability factor is greater than or equal to the preset catalytic environment adaptability threshold and the catalytic load adaptability factor is greater than or equal to the preset catalytic load adaptability threshold, the current operating state of the three-way catalytic converter remains unchanged.

[0082] In one embodiment of the present application, the value-taking methods of the set parameters such as the working temperature adaptability weight, the working pressure difference adaptability weight, the catalytic load adaptability weight, the preset catalytic environment adaptability threshold, and the preset catalytic load adaptability threshold can be as follows: By collecting vehicle operation data, road attribute data, catalytic environment data, and catalyst attribute data to construct a data set, substituting them into the calculation formulas of the catalytic environment adaptability factor and the catalytic load capacity adaptability factor, and at the same time obtaining the judgment results of experts on the catalytic environment adaptability and the catalytic load capacity adaptability, importing the calculated catalytic environment adaptability factor, catalytic load capacity adaptability factor, and judgment results into the fitting software, and outputting the working temperature adaptability weight, the working pressure difference adaptability weight, the catalytic load adaptability weight, the preset catalytic environment adaptability threshold, and the preset catalytic load adaptability threshold that meet the maximum judgment accuracy rate.

[0083] Please refer to Figure 2 , Figure 2 FIG. is a schematic structural diagram of a three-way catalytic converter efficiency monitoring and optimization system based on sensor technology provided by an embodiment of the present application. The embodiment of the present application provides a three-way catalytic converter efficiency monitoring and optimization system based on sensor technology, including:

[0084] A data acquisition module 210, configured to collect vehicle operation data and road attribute data during vehicle driving, and collect catalytic environment data and catalyst attribute data during the operation of the three-way catalytic converter;

[0085] A pollutant emission model construction module 220, configured to construct a pollutant emission model of vehicle exhaust gas and use the pollutant emission model to predict pollutant emission characteristic data in vehicle exhaust gas;

[0086] A catalytic environment adaptability analysis module 230, configured to analyze the catalytic environment adaptability of the three-way catalytic converter based on catalytic environment data;

[0087] A catalytic load adaptability analysis module 240, configured to analyze the catalytic load adaptability of the three-way catalytic converter based on catalyst attribute data and pollutant emission characteristic data;

[0088] An optimization suggestion generation module 250, configured to generate optimization suggestions by integrating the analysis results of catalytic environment adaptability and catalytic load adaptability.

[0089] In an embodiment of the present application, the pollutant emission model construction module 220 is used to construct a pollutant emission model for vehicle exhaust and predict pollutant emission characteristic data in vehicle exhaust using the pollutant emission model. The pollutant emission model is constructed based on a microscopic exhaust emission model, and by combining the vehicle operation data and road attribute data collected during vehicle driving with the microscopic exhaust emission model, the corresponding pollutant emission characteristic data is predicted. Among them, the microscopic exhaust emission model is any one of the CMEM model and the MOVES model.

[0090] In an embodiment of the present application, the catalytic environment adaptability analysis module 230 is used to analyze the catalytic environment adaptability of the three-way catalytic converter based on catalytic environment data. The specific steps for analyzing the catalytic environment adaptability of the three-way catalytic converter include:

[0091] Obtain catalytic environment data during the operation of the three-way catalytic converter. The catalytic environment data includes the working temperature data and working pressure difference data of the three-way catalytic converter;

[0092] Calculate the catalytic environment adaptability factor based on the working temperature data and working pressure difference data. The catalytic environment adaptability factor is used to quantitatively analyze the catalytic environment adaptability of the three-way catalytic converter. The calculation formula for the catalytic environment adaptability factor is:

[0093]

[0094] In the formula, T cat is the working temperature data of the three-way catalytic converter, T opt is the median of the ideal working temperature range of the three-way catalytic converter, σ T is the standard deviation of the ideal working temperature range of the three-way catalytic converter, P cat is the working pressure difference data of the three-way catalytic converter, P opt is the median of the ideal working pressure difference range of the three-way catalytic converter, σ P is the standard deviation of the ideal working pressure difference range of the three-way catalytic converter, α is the working temperature adaptability weight, β is the working pressure difference adaptability weight, and η E is the catalytic environment adaptability factor.

[0095] In an embodiment of the present application, the catalytic load adaptability analysis module 240 is used to analyze the catalytic load adaptability of the three-way catalytic converter based on catalyst attribute data and pollutant emission characteristic data. The specific steps for analyzing the catalytic load adaptability of the three-way catalytic converter include:

[0096] Analyze the catalytic activity of each catalyst component for specific pollutants and construct a catalyst load capacity vector in combination with the catalyst mass;

[0097] Construct a pollutant emission demand vector through the pollutant emission characteristic data;

[0098] Calculate the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor through the catalyst load capacity vector and the pollutant emission demand vector;

[0099] Take the product of the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor as the catalytic load adaptability factor, and the catalytic load adaptability factor is used to analyze the catalytic load adaptability of the three-way catalytic converter;

[0100] The specific steps for constructing the catalyst load capacity vector include:

[0101] Determine the catalytic ability coefficient of each catalyst component for a specific pollutant and the mass of each catalyst component through the catalyst property data;

[0102] Take the product of the catalytic ability coefficient of each catalyst component for a specific pollutant and the corresponding catalyst component mass as the load capacity of the catalyst for the specific pollutant;

[0103] Construct a catalyst load capacity vector through the load capacity of the catalyst for different types of pollutants;

[0104] The specific steps for calculating the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor include:

[0105] Take the cosine similarity between the catalyst load capacity vector and the pollutant emission demand vector as the catalytic load structure adaptability factor;

[0106] Take the ratio of the modulus length of the pollutant emission demand vector to the modulus length of the catalyst load capacity vector as the total catalyst load ratio and calculate the catalytic load capacity adaptability factor through the total catalyst load ratio. The calculation formula for the catalytic load capacity adaptability factor is:

[0107]

[0108] In the formula, ||D|| is the modulus length of the pollutant emission demand vector, ||C|| is the modulus length of the catalyst load capacity vector, δ is the catalytic load adaptability weight, and η R is the catalytic load capacity adaptability factor.

[0109] In the embodiments of the present application, the optimization suggestion generation module 250 is used to generate optimization suggestions by integrating the analysis results of the catalytic environment adaptability and the catalytic load adaptability. The specific steps for generating optimization suggestions by integrating the analysis results of the catalytic environment adaptability and the catalytic load adaptability include:

[0110] When the catalytic environment adaptability factor is less than the preset catalytic environment adaptability threshold, it is recommended to optimize the catalytic environment adaptability. The optimization measures for the catalytic environment adaptability include adding a heat insulation and heat preservation structure to the exhaust system and replacing the catalyst carrier;

[0111] When the catalytic load adaptability factor is less than the preset catalytic load adaptability threshold, it is recommended to optimize the catalytic load adaptability. The catalytic load adaptability optimization measures include supplementing the loading amount of specific catalyst components and replacing the three-way catalytic converter.

[0112] When the catalytic environment adaptability factor is greater than or equal to the preset catalytic environment adaptability threshold and the catalytic load adaptability factor is greater than or equal to the preset catalytic load adaptability threshold, the current operating state of the three-way catalytic converter remains unchanged.

[0113] For the steps of the above-mentioned parameters and each unit module in the three-way catalytic converter efficiency monitoring and optimization system based on sensor technology of the present application to implement corresponding functions, reference can be made to the parameters and steps in the embodiments of the three-way catalytic converter efficiency monitoring and optimization method based on sensor technology in the foregoing text, which will not be elaborated herein.

[0114] Please refer to Figure 3 , an embodiment of the present invention further provides an electronic device 300, including a memory 310, a processor 320, and a communication bus 330; the memory 310 and the processor 320 are connected through the communication bus 330. The memory 310 stores instructions that can be loaded and executed by the processor 320, such as the three-way catalytic converter efficiency monitoring and optimization method based on sensor technology provided in the above embodiments.

[0115] The memory 310 can be used to store instructions, programs, codes, code sets, or instruction sets. The memory 310 may include a program storage area and a data storage area. Among them, the program storage area can store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the three-way catalytic converter efficiency monitoring and optimization method based on sensor technology provided in the above embodiments, etc.; the data storage area can store data involved in the three-way catalytic converter efficiency monitoring and optimization method based on sensor technology provided in the above embodiments, etc.

[0116] The processor 320 may include one or more processing cores. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 310, the processor 320 invokes the data stored in the memory 310 to perform various functions of this application and process data. The processor 320 may be at least one of an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller, and a microprocessor. It can be understood that for different devices, the electronic devices for implementing the functions of the above-mentioned processor 320 may also be others, and the embodiments of this application do not make specific limitations.

[0117] The communication bus 330 may include a path for transmitting information between the above components. The communication bus 330 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 330 may be divided into an address bus, a data bus, a control bus, etc. For the sake of convenience of representation, Figure 3 only a double arrow is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0118] The embodiments of this application provide a computer-readable storage medium storing a computer program that can be loaded and executed by a processor to perform the method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology as provided in the above embodiments.

[0119] In an embodiment of the present application, a computer-readable storage medium may be a tangible device that holds and stores instructions used by an instruction execution device. The computer-readable storage medium may be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination of the foregoing. Specifically, the computer-readable storage medium may be a portable computer disk, a hard disk, a USB flash drive, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a podium random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, an optical disk, a magnetic disk, a mechanical encoding device, and any combination of the foregoing.

[0120] The term "comprising," "including," or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a series of elements includes not only those elements but also other elements not expressly listed, or elements that are inherent to such process, method, article, or apparatus.

[0121] The above description is only a preferred embodiment of the present application and an explanation of the applied technical principle. Those skilled in the art should understand that the scope of the application involved in the present application is not limited to the technical solution formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the foregoing application concept. For example, a technical solution formed by mutually replacing the above features with (but not limited to) technical features having similar functions in the present application.

Claims

1. A method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology, characterized in that, It includes the following steps: Collect vehicle operation data and road attribute data during vehicle driving, and collect catalytic environment data and catalyst attribute data during the operation of the three-way catalytic converter; Construct a pollutant emission model for vehicle exhaust and use the pollutant emission model to predict the pollutant emission characteristic data in vehicle exhaust; Analyze the catalytic environment adaptability of the three-way catalytic converter based on the catalytic environment data; Analyze the catalytic load adaptability of the three-way catalytic converter based on the catalyst attribute data and the pollutant emission characteristic data; Generate optimization suggestions based on the comprehensive analysis results of the catalytic environment adaptability and the catalytic load adaptability.

2. The method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology according to claim 1, wherein The specific steps for analyzing the catalytic environment adaptability of the three-way catalytic converter include: Obtain the catalytic environment data during the operation of the three-way catalytic converter, and the catalytic environment data includes the working temperature data and the working pressure difference data of the three-way catalytic converter; Calculate the catalytic environment adaptability factor according to the working temperature data and the working pressure difference data. The catalytic environment adaptability factor is used to quantitatively analyze the catalytic environment adaptability of the three-way catalytic converter. The calculation formula of the catalytic environment adaptability factor is: where T cat is the working temperature data of the three-way catalytic converter, T opt is the median of the ideal working temperature range of the three-way catalytic converter, σ T is the standard deviation of the ideal working temperature range of the three-way catalytic converter, P cat is the working pressure difference data of the three-way catalytic converter, P opt is the median of the ideal working pressure difference range of the three-way catalytic converter, σ P is the standard deviation of the ideal working pressure difference range of the three-way catalytic converter, α is the working temperature adaptability weight, β is the working pressure difference adaptability weight, η E is the catalytic environment adaptability factor.

3. The method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology according to claim 1, characterized in that, The specific steps for analyzing the catalytic load adaptability of the three-way catalytic converter include: Analyze the catalytic activity of each catalyst component for specific pollutants and construct a catalyst load capacity vector in combination with the catalyst mass; Construct a pollutant emission demand vector through the pollutant emission characteristic data; Calculate the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor through the catalyst load capacity vector and the pollutant emission demand vector; Take the product of the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor as the catalytic load adaptability factor, and the catalytic load adaptability factor is used to analyze the catalytic load adaptability of the three-way catalytic converter.

4. The method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology according to claim 3, characterized in that, The specific steps for constructing the catalyst load capacity vector include: Determine the catalytic ability coefficient of each catalyst component for specific pollutants and the mass of each catalyst component through the catalyst attribute data; Take the product of the catalytic ability coefficient of each catalyst component for specific pollutants and the corresponding catalyst component mass as the load capacity of the catalyst for specific pollutants; Construct a catalyst load capacity vector through the load capacity of the catalyst for different types of pollutants.

5. The method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology according to claim 3, characterized in that, The specific steps for calculating the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor include: Take the cosine similarity between the catalyst load capacity vector and the pollutant emission demand vector as the catalytic load structure adaptability factor; Take the ratio of the modulus length of the pollutant emission demand vector to the modulus length of the catalyst load capacity vector as the total catalyst load ratio, and calculate the catalytic load capacity adaptability factor through the total catalyst load ratio. The calculation formula of the catalytic load capacity adaptability factor is: where ||D|| is the norm of the pollutant emission demand vector, ||C|| is the norm of the catalyst loading capacity vector, δ is the catalytic loading adaptability weight, and η R is the catalytic loading capacity adaptability factor.

6. The method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology according to claim 1, wherein The pollutant emission model is constructed based on the microscopic exhaust emission model. By combining the vehicle operation data and road attribute data collected during vehicle driving with the microscopic exhaust emission model, the corresponding pollutant emission characteristic data is predicted. Among them, the microscopic exhaust emission model is any one of the CMEM model and the MOVES model.

7. The method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology according to claim 1, characterized in that The specific steps for generating optimization suggestions based on the comprehensive analysis results of the catalytic environment adaptability and the catalytic load adaptability include: When the catalytic environment adaptability factor is less than the preset catalytic environment adaptability threshold, it is recommended to optimize the catalytic environment adaptability. The catalytic environment adaptability optimization measures include adding a heat insulation structure to the exhaust system and replacing the catalyst carrier; When the catalytic load adaptability factor is less than the preset catalytic load adaptability threshold, it is recommended to optimize the catalytic load adaptability. The catalytic load adaptability optimization measures include supplementing the loading amount of specific catalyst components and replacing the three-way catalytic converter; When the catalytic environment adaptability factor is greater than or equal to the preset catalytic environment adaptability threshold and the catalytic load adaptability factor is greater than or equal to the preset catalytic load adaptability threshold, the current operating state of the three-way catalytic converter remains unchanged.

8. A three-way catalytic converter efficiency monitoring and optimization system based on sensor technology, which is applied to the three-way catalytic converter efficiency monitoring and optimization method based on sensor technology described in any one of claims 1-7, characterized in that, The system includes: A data acquisition module for acquiring vehicle operation data and road attribute data during vehicle driving, and acquiring catalytic environment data and catalyst attribute data during the operation of the three-way catalytic converter; A pollutant emission model construction module for constructing a pollutant emission model of vehicle exhaust and predicting pollutant emission characteristic data in vehicle exhaust using the pollutant emission model; A catalytic environment adaptability analysis module for analyzing the catalytic environment adaptability of the three-way catalytic converter based on catalytic environment data; A catalytic load adaptability analysis module for analyzing the catalytic load adaptability of the three-way catalytic converter based on catalyst attribute data and pollutant emission characteristic data; An optimization suggestion generation module for generating optimization suggestions by synthesizing the analysis results of catalytic environment adaptability and catalytic load adaptability.

9. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology according to any one of claims 1-7 by calling the computer program stored in the memory.

10. A computer-readable storage medium, characterized in that, Stores instructions that, when run on a computer, cause the computer to execute the method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology according to any one of claims 1-7.

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