Method for monitoring and optimizing efficiency of three-way catalytic converter based on sensor technology

Abstract

The application relates to the technical field of automobile exhaust treatment, in particular to a three-way catalytic converter efficiency monitoring and optimization method based on sensor technology, which comprises the following steps: collecting vehicle operation data and road attribute data, collecting catalytic environment data and catalyst attribute data of a three-way catalytic converter; constructing a vehicle exhaust pollutant emission model and predicting pollutant emission characteristic data in vehicle exhaust; analyzing catalytic environment adaptability of the three-way catalytic converter based on the catalytic environment data; analyzing catalytic load adaptability of the three-way catalytic converter based on the catalyst attribute data and the pollutant emission characteristic data; and generating optimization suggestions by comprehensively analyzing the catalytic environment adaptability and the catalytic load adaptability analysis results. The catalytic matching degree and catalytic efficiency of the three-way catalytic converter are effectively improved by quantitatively analyzing the catalytic environment adaptability and the catalytic load adaptability of the three-way catalytic converter.

Description

Technical Field

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

[0002] With the rapid development of the automotive industry, the pollution caused by vehicle exhaust emissions has become increasingly prominent. The three-way catalytic converter (TWC), as a core component of gasoline vehicle exhaust aftertreatment systems, effectively purifies vehicle exhaust by converting harmful pollutants such as carbon monoxide, hydrocarbons, and nitrogen oxides generated during engine operation into harmless substances such as water vapor, carbon dioxide, and nitrogen for emission.

[0003] However, the catalytic efficiency of a three-way catalytic converter is affected by a variety of factors, such as the type and activity of the catalyst, the operating temperature of the converter, the exhaust pressure differential, and the concentration of pollutants. If a three-way catalytic converter operates under suboptimal conditions for an extended period, its catalytic efficiency will decrease, or it may even fail, thereby exacerbating vehicle exhaust pollution.

[0004] Traditional three-way catalytic converter monitoring mainly relies on oxygen sensor signals from the vehicle's after-treatment system and on-board diagnostics (OBD). However, these systems typically only detect the failure state of the catalytic converter and lack quantitative analysis of the catalytic process and assessment of catalytic compatibility. In actual vehicle operation, pollutant emission characteristics change dynamically due to variations in vehicle driving conditions and road attributes. For example, under low-speed congestion or idling conditions, incomplete combustion results in a higher proportion of carbon monoxide and hydrocarbons in the exhaust gases. Under high-speed or high-load acceleration conditions, the combustion temperature increases, and the generation of nitrogen oxides rises significantly. Existing technologies cannot assess the compatibility between the emission requirements of different pollutants and the catalyst load capacity, leading to a mismatch between catalyst components and pollutant conversion requirements, which in turn raises the risk of exceeding exhaust emission standards. Summary of the Invention

[0005] To overcome the defects and shortcomings of existing technologies, this application provides a method for monitoring and optimizing the efficiency of three-way catalytic converters 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 objectives, this application adopts the following technical solution:

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

[0008] Collect vehicle operation data and road attribute data during vehicle operation, 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 the characteristic data of pollutant emissions in vehicle exhaust.

[0010] Analysis of the catalytic environment adaptability of three-way catalytic converters based on catalytic environment data;

[0011] Analysis of the catalytic load adaptability of three-way catalytic converters based on catalyst property data and pollutant emission characteristic data;

[0012] Optimization suggestions are generated based on the comprehensive analysis results of catalytic environment adaptability and catalytic load adaptability.

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

[0014] Acquire catalytic environment data during the operation of the three-way catalytic converter, including the operating temperature and operating pressure difference data of the three-way catalytic converter;

[0015] The catalytic environment adaptability factor is calculated based on operating temperature and operating pressure difference data. This factor is used to quantitatively analyze the catalytic environment adaptability of the three-way catalytic converter. The formula for calculating the catalytic environment adaptability factor is as follows:

[0016]

[0017] In the formula T cat For the operating temperature data of the three-way catalytic converter, T opt σ is the median of the ideal operating temperature range for a three-way catalytic converter. T P represents the standard deviation of the ideal operating temperature range of a three-way catalytic converter. cat The operating pressure differential data for the three-way catalytic converter, P opt σ is the median of the ideal operating differential pressure range for a three-way catalytic converter. P η represents the standard deviation of the ideal operating differential pressure range of the three-way catalytic converter, α is the operating temperature adaptability weight, β is the operating differential pressure adaptability weight, and η is the standard deviation of the ideal operating differential pressure range of the three-way catalytic converter. E It is a catalytic environment adaptability factor.

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

[0019] The catalytic activity of each catalyst component for specific pollutants was analyzed, and a catalyst loading capacity vector was constructed in combination with catalyst mass.

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

[0021] The catalyst loading structure adaptability factor and the catalyst loading capacity adaptability factor are calculated using the catalyst loading capacity vector and the pollutant emission demand vector.

[0022] The product of the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor is used 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] The catalytic capacity coefficient of each catalyst component for a specific pollutant and the mass of each catalyst component were determined by catalyst property data.

[0025] The product of the catalytic capacity coefficient of each catalyst component for a specific pollutant and the mass of the corresponding catalyst component is taken as the catalyst's loading capacity for the specific pollutant.

[0026] A catalyst loading capacity vector is constructed by considering the catalyst's ability to handle different types of pollutants.

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

[0028] The cosine similarity between the catalyst loading capacity vector and the pollutant emission demand vector is used as the catalyst loading structure adaptability factor.

[0029] The ratio of the pollutant emission demand vector magnitude to the catalyst loading capacity vector magnitude is used as the total catalyst loading ratio. The catalyst loading capacity adaptability factor is calculated using the total catalyst loading ratio. The formula for calculating the catalyst loading capacity adaptability factor is as follows:

[0030]

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

[0032] Preferably, the pollutant emission model is constructed based on the micro-exhaust gas emission model. By combining the collected vehicle operation data and road attribute data during vehicle operation with the micro-exhaust gas emission model, the corresponding pollutant emission characteristic data is predicted. The micro-exhaust gas emission model can be either the CMEM model or the MOVES model.

[0033] Preferably, the specific steps for generating optimization suggestions from 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 optimization measures include adding heat insulation 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. Optimization measures include supplementing the loading 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] Secondly, this application provides a three-way catalytic converter efficiency monitoring and optimization system based on sensor technology, including:

[0038] The data acquisition module is used to collect vehicle operation data and road attribute data during vehicle operation, as well as catalytic environment data and catalyst attribute data during the operation of the three-way catalytic converter.

[0039] The pollutant emission model building module is used to build pollutant emission models of vehicle exhaust and use the pollutant emission model to predict the characteristic data of pollutant emissions in vehicle exhaust.

[0040] The catalytic environment adaptability analysis module is used to analyze the catalytic environment adaptability of the three-way catalytic converter based on catalytic environment data.

[0041] The catalytic load adaptability analysis module is used to analyze the catalytic load adaptability of the three-way catalytic converter based on catalyst property data and pollutant emission characteristic data.

[0042] The optimization suggestion generation module is used to generate optimization suggestions based on the comprehensive analysis results of catalytic environment adaptability and catalytic load adaptability.

[0043] Thirdly, this application provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, 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] Fourthly, this application provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform a sensor-based method for monitoring and optimizing the efficiency of a three-way catalytic converter.

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

[0046] This application constructs catalytic environment adaptability factors and catalytic load adaptability factors to achieve quantitative analysis of the operating conditions of three-way catalytic converters and the catalytic capacity of catalysts. By improving the working efficiency and adaptability of three-way catalytic converters, the emission levels of vehicle exhaust pollutants are effectively reduced. Attached Figure Description

[0047] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0048] Figure 1 This is a schematic diagram of the overall process of the three-way catalytic converter efficiency monitoring and optimization method based on sensor technology provided in the embodiments of this application;

[0049] Figure 2 This is a schematic diagram of the structure of the three-way catalytic converter efficiency monitoring and optimization system based on sensor technology provided in the embodiments of this application;

[0050] Figure 3 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0051] The technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments and specific features in the embodiments are detailed descriptions of the technical solution of this application, rather than limitations thereof. In the absence of conflict, the embodiments and technical features in the embodiments can be combined with each other.

[0052] Please see Figure 1 , Figure 1 This is a schematic diagram of the overall process of the three-way catalytic converter efficiency monitoring and optimization method based on sensor technology provided in the embodiments of this application, which specifically includes the following steps:

[0053] S110: Collects vehicle operation data and road attribute data during vehicle operation, and collects 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 slope.

[0054] S120: Construct a pollutant emission model for vehicle exhaust and use the pollutant emission model to predict the characteristic data of pollutant emissions 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 pollutant emission characteristics under different operating conditions, thereby characterizing the dynamic emission patterns of pollutants under different operating conditions. This provides data support for subsequent analysis of the load adaptability of three-way catalytic converters. The pollutant emission model is constructed based on the microscopic exhaust emission model. It predicts the corresponding pollutant emission characteristics by combining the collected vehicle operation data and road attribute data during vehicle operation with the microscopic exhaust emission model. The microscopic exhaust emission model can be either the CMEM model or the MOVES model. Taking the CMEM model as an example, CMEM (Comprehensive Modal Emissions)... The CMEM model is a microscopic exhaust emission model that predicts the pollutant emission characteristics of different types of vehicles under different operating conditions based on vehicle operating status and road attributes. The CMEM model is based on vehicle modes, divides the driving process into several operating conditions (such as acceleration, deceleration and constant speed), and estimates the instantaneous engine load and fuel consumption based on the dynamic characteristics of each operating condition, thereby predicting the emissions of various pollutants such as hydrocarbons, carbon monoxide, and nitrogen oxides. The construction process of the CMEM model includes: (1) establishing a vehicle dynamic model based on vehicle type parameters and calculating the required traction power per unit time; (2) estimating the instantaneous fuel consumption rate and air-fuel ratio based on engine efficiency and load curves; (3) establishing an emission factor function in combination with fuel type and combustion status to estimate the emissions of various pollutants per unit time; (4) driving the model operation through measured vehicle operating data to obtain high temporal resolution pollutant emission characteristic data. The CMEM model is widely used in traffic emission modeling research because of its sensitivity to instantaneous operating condition changes.

[0056] S130: Catalytic environment adaptability of three-way catalytic converters based on catalytic environment data analysis;

[0057] The catalytic reaction in a three-way catalytic converter is highly dependent on its operating temperature, operating pressure differential, and catalytic environment. A suitable operating temperature is a prerequisite for ensuring catalyst activity and reaction rate. Only when the operating temperature is within the ideal range can efficient conversion of hydrocarbons, carbon monoxide, and nitrogen oxides be achieved. When the operating temperature deviates from this range, catalytic efficiency will decrease significantly, and may even lead to catalyst sintering or deactivation. Meanwhile, the operating pressure differential reflects the flow resistance and smoothness of the exhaust gas within the catalyst. An excessively large operating pressure differential may indicate catalyst blockage or carrier aging, while a too small differential may lead to gas flow short-circuiting or insufficient contact, both of which weaken the effective reaction between the exhaust gas and the catalyst. Therefore, collecting and analyzing catalytic environment data is fundamental to ensuring catalytic reaction efficiency and catalytic stability. Specific steps for analyzing the catalytic environment adaptability of a three-way catalytic converter include:

[0058] Acquire catalytic environment data during the operation of the three-way catalytic converter, including the operating temperature and operating pressure difference data of the three-way catalytic converter;

[0059] The catalytic environment adaptability factor is calculated based on operating temperature and operating pressure difference data. This factor is used to quantitatively analyze the catalytic environment adaptability of the three-way catalytic converter. The formula for calculating the catalytic environment adaptability factor is as follows:

[0060]

[0061] In the formula T cat For the operating temperature data of the three-way catalytic converter, T opt This is the median of the ideal operating temperature range for a three-way catalytic converter. Among them, T max T represents the upper limit of the ideal operating temperature range. min When T is the lower limit of the ideal operating temperature range, cat =T opt hour, This indicates that the three-way catalytic converter is operating at its optimal temperature. T σ is the standard deviation of the ideal operating temperature range of the three-way catalytic converter. T The larger the value, the wider the temperature fluctuation range that the three-way catalytic converter can tolerate. cat The operating pressure differential data for the three-way catalytic converter, P opt σ is the median of the ideal operating differential pressure range for a three-way catalytic converter. P η represents the standard deviation of the ideal operating differential pressure range of the three-way catalytic converter, α is the operating temperature adaptability weight, β is the operating differential pressure adaptability weight, and η is the standard deviation of the ideal operating differential pressure range of the three-way catalytic converter. E It is a catalytic environment adaptability factor.

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

[0063] The catalytic load adaptability of a three-way catalytic converter is a key indicator for measuring the degree to which its catalyst composition matches the actual pollutant emission requirements. It directly determines its purification efficiency and response capability. Different types of pollutants have different degrees of dependence on catalyst components. If the catalyst composition distribution ratio or total load 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, catalytic load adaptability not only affects the conversion effect of pollutants, but also relates to the catalyst life, emission compliance rate, and long-term stability of vehicle environmental performance. The specific steps for analyzing the catalytic load adaptability of a three-way catalytic converter include:

[0064] The catalytic activity of each catalyst component for specific pollutants was analyzed, and a catalyst loading capacity vector was constructed in combination with catalyst mass.

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

[0066] The catalyst loading structure adaptability factor and the catalyst loading capacity adaptability factor are calculated using the catalyst loading capacity vector and the pollutant emission demand vector.

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

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

[0069] The catalytic capacity coefficient of each catalyst component for a specific pollutant and the mass of each catalyst component were determined by catalyst property data.

[0070] The product of the catalytic capacity coefficient of each catalyst component for a specific pollutant and the mass of the corresponding catalyst component is taken as the catalyst's loading capacity for the specific pollutant.

[0071] A catalyst loading capacity vector is constructed by the catalyst's loading capacity for different types of pollutants;

[0072] The catalytic load structure adaptability factor quantitatively measures the degree of matching between catalyst components and pollutant types and proportions by calculating the cosine similarity between the catalyst load capacity vector and the pollutant emission demand vector, reflecting the catalytic structure matching. The catalytic load capacity adaptability factor, based on the ratio of vector moduli, reflects the capacity matching between the total catalyst capacity and the actual total pollution load, demonstrating sufficient adaptability of the catalytic intensity. The specific steps for calculating the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor include:

[0073] The cosine similarity between the catalyst loading capacity vector and the pollutant emission demand vector is used as the catalyst loading structure adaptability factor.

[0074] The ratio of the pollutant emission demand vector magnitude to the catalyst loading capacity vector magnitude is used as the total catalyst loading ratio. The catalyst loading capacity adaptability factor is calculated using the total catalyst loading ratio. The formula for calculating the catalyst loading capacity adaptability factor is as follows:

[0075]

[0076] In the formula, ||D|| is the vector magnitude of pollutant emission demand, and ||C|| is the vector magnitude of catalyst loading capacity. This refers to the total catalyst loading ratio. This indicates that the catalytic load capacity adaptation factor is activated only when pollutant emission demand exceeds the catalyst load capacity, where δ is the catalytic load adaptation weight, and η is the catalyst load capacity adaptation factor. R This is the catalytic loading capacity adaptability factor.

[0077] S150: Optimization suggestions are generated based on the comprehensive analysis results of catalytic environment adaptability and catalytic load adaptability;

[0078] By analyzing the correlation between catalytic environment compatibility factors and catalytic load compatibility factors, key issues affecting catalytic efficiency can be effectively identified, namely, catalytic environment matching issues or catalytic capacity matching issues, and targeted optimization measures can be generated. The specific steps for generating optimization suggestions by integrating the analysis results of catalytic environment compatibility and catalytic load compatibility include:

[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 optimization measures include adding heat insulation 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. Optimization measures include supplementing the loading 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 this application, the parameters such as operating temperature adaptability weight, operating pressure difference adaptability weight, catalytic load adaptability weight, preset catalytic environment adaptability threshold, and preset catalytic load adaptability threshold can be determined by: constructing a dataset by collecting vehicle operation data, road attribute data, catalytic environment data, and catalyst attribute data; substituting these data into the calculation formulas for catalytic environment adaptability factor and catalytic load capacity adaptability factor; simultaneously obtaining expert judgment results on catalytic environment adaptability and catalytic load capacity adaptability; importing the calculated catalytic environment adaptability factor, catalytic load capacity adaptability factor, and judgment results into fitting software; and outputting the operating temperature adaptability weight, operating pressure difference adaptability weight, catalytic load adaptability weight, preset catalytic environment adaptability threshold, and preset catalytic load adaptability threshold that meet the maximum judgment accuracy.

[0083] Please see Figure 2 , Figure 2 This is a schematic diagram of the structure of a three-way catalytic converter efficiency monitoring and optimization system based on sensor technology provided in this application embodiment. This embodiment provides a three-way catalytic converter efficiency monitoring and optimization system based on sensor technology, including:

[0084] The data acquisition module 210 is used to collect vehicle operation data and road attribute data during vehicle operation, and to collect catalytic environment data and catalyst attribute data during the operation of the three-way catalytic converter.

[0085] The pollutant emission model building module 220 is used to build a pollutant emission model of vehicle exhaust and use the pollutant emission model to predict the pollutant emission characteristic data in vehicle exhaust.

[0086] 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.

[0087] The catalytic load adaptability analysis module 240 is used to analyze the catalytic load adaptability of the three-way catalytic converter based on catalyst property data and pollutant emission characteristic data.

[0088] The optimization suggestion generation module 250 is used to generate optimization suggestions based on the comprehensive analysis results of catalytic environment adaptability and catalytic load adaptability.

[0089] In this embodiment, the pollutant emission model construction module 220 is used to construct a pollutant emission model of vehicle exhaust and use the pollutant emission model to predict the pollutant emission characteristic data in vehicle exhaust. The pollutant emission model is constructed based on the micro exhaust emission model. By combining the collected vehicle operation data and road attribute data during vehicle driving with the micro exhaust emission model, the corresponding pollutant emission characteristic data is predicted. The micro exhaust emission model can be either the CMEM model or the MOVES model.

[0090] In this embodiment, 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] Acquire catalytic environment data during the operation of the three-way catalytic converter, including the operating temperature and operating pressure difference data of the three-way catalytic converter;

[0092] The catalytic environment adaptability factor is calculated based on operating temperature and operating pressure difference data. This factor is used to quantitatively analyze the catalytic environment adaptability of the three-way catalytic converter. The formula for calculating the catalytic environment adaptability factor is as follows:

[0093]

[0094] In the formula T cat For the operating temperature data of the three-way catalytic converter, T opt σ is the median of the ideal operating temperature range for a three-way catalytic converter. T P represents the standard deviation of the ideal operating temperature range of a three-way catalytic converter. cat The operating pressure differential data for the three-way catalytic converter, P opt σ is the median of the ideal operating differential pressure range for a three-way catalytic converter. P η represents the standard deviation of the ideal operating differential pressure range of the three-way catalytic converter, α is the operating temperature adaptability weight, β is the operating differential pressure adaptability weight, and η is the standard deviation of the ideal operating differential pressure range of the three-way catalytic converter. E It is a catalytic environment adaptability factor.

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

[0096] The catalytic activity of each catalyst component for specific pollutants was analyzed, and a catalyst loading capacity vector was constructed in combination with catalyst mass.

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

[0098] The catalyst loading structure adaptability factor and the catalyst loading capacity adaptability factor are calculated using the catalyst loading capacity vector and the pollutant emission demand vector.

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

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

[0101] The catalytic capacity coefficient of each catalyst component for a specific pollutant and the mass of each catalyst component were determined by catalyst property data.

[0102] The product of the catalytic capacity coefficient of each catalyst component for a specific pollutant and the mass of the corresponding catalyst component is taken as the catalyst's loading capacity for the specific pollutant.

[0103] A catalyst loading capacity vector is constructed by the catalyst's loading capacity for different types of pollutants;

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

[0105] The cosine similarity between the catalyst loading capacity vector and the pollutant emission demand vector is used as the catalyst loading structure adaptability factor.

[0106] The ratio of the pollutant emission demand vector magnitude to the catalyst loading capacity vector magnitude is used as the total catalyst loading ratio. The catalyst loading capacity adaptability factor is calculated using the total catalyst loading ratio. The formula for calculating the catalyst loading capacity adaptability factor is as follows:

[0107]

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

[0109] In this embodiment, the optimization suggestion generation module 250 is used to generate optimization suggestions by comprehensively analyzing the catalytic environment adaptability and catalytic load adaptability. The specific steps for generating optimization suggestions by comprehensively analyzing the catalytic environment adaptability and 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 include adding heat insulation 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. Optimization measures include supplementing the loading 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] The steps for implementing the corresponding functions of each parameter and unit module in the sensor-based three-way catalytic converter efficiency monitoring and optimization system of this application can be referred to the parameters and steps in the embodiments of the sensor-based three-way catalytic converter efficiency monitoring and optimization method above, and will not be repeated here.

[0114] Please refer to Figure 3 The present invention also 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 via the communication bus 330. The memory 310 stores a method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology, which can be loaded and executed by the processor 320 as provided in the above embodiments.

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

[0116] Processor 320 may include one or more processing cores. Processor 320 executes instructions, programs, code sets, or instruction sets stored in memory 310, and calls data stored in memory 310 to perform various functions and process data as described in this application. Processor 320 may be at least one of the following: Application Specific Integrated Circuit (ASIC), Digital Signal Processor (DSP), Digital Signal Processing Device (DSPD), Programmable Logic Device (PLD), Field Programmable Gate Array (FPGA), Central Processing Unit (CPU), controller, microcontroller, and microprocessor. It is understood that, for different devices, the electronic devices used to implement the functions of processor 320 may also be other types, and this application embodiment does not specifically limit the specific devices used.

[0117] The communication bus 330 may include a path for transmitting information between the aforementioned 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 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 The symbol is represented by a single double arrow, but this does not mean that there is only one bus or one type of bus.

[0118] This application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as described in the above embodiments, which is a method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology.

[0119] In this embodiment, a computer-readable storage medium can be a tangible device that holds and stores instructions used by an instruction execution device. A computer-readable storage medium can 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 thereof. Specifically, a computer-readable storage medium can be a portable computer disk, a hard disk, a USB flash drive, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), spoofing random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory stick, floppy disk, optical disk, magnetic disk, mechanical encoding device, or any combination thereof.

[0120] The terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0121] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing application concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions claimed in this application.

Claims

1. A method for monitoring and optimizing the efficiency of a three-way catalytic converter based on sensor technology, characterized in that, Includes the following steps: Collect vehicle operation data and road attribute data during vehicle operation, 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 characteristic data of pollutant emissions in vehicle exhaust. Analysis of the catalytic environment adaptability of three-way catalytic converters based on catalytic environment data; Analysis of the catalytic load adaptability of three-way catalytic converters based on catalyst property data and pollutant emission characteristic data; Optimization suggestions are generated based on the comprehensive analysis results of catalytic environment adaptability and catalytic load adaptability; The specific steps for analyzing the catalytic load adaptability of the three-way catalytic converter include: The catalytic activity of each catalyst component for specific pollutants was analyzed, and a catalyst loading capacity vector was constructed in combination with catalyst mass. Construct a pollutant emission demand vector using pollutant emission characteristic data; The catalyst loading structure adaptability factor and the catalyst loading capacity adaptability factor are calculated using the catalyst loading capacity vector and the pollutant emission demand vector. The product of the catalytic load structure adaptability factor and the catalytic load capacity adaptability factor is used as the catalytic load adaptability factor, which is used to analyze the catalytic load adaptability of the three-way catalytic converter. The pollutant emission model is constructed based on the micro-exhaust emission model. It predicts the corresponding pollutant emission characteristics by combining the collected vehicle operation data and road attribute data during vehicle operation with the micro-exhaust emission model. The micro-exhaust emission model can be either the CMEM model or the MOVES model.

2. 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 environment adaptability of the three-way catalytic converter include: Acquire catalytic environment data during the operation of the three-way catalytic converter, including the operating temperature and operating pressure difference data of the three-way catalytic converter; The catalytic environment adaptability factor is calculated based on operating temperature and operating pressure difference data. This factor is used to quantitatively analyze the catalytic environment adaptability of the three-way catalytic converter. The formula for calculating the catalytic environment adaptability factor is as follows: ； In the formula This refers to the operating temperature data of the three-way catalytic converter. This is the median of the ideal operating temperature range for a three-way catalytic converter. This represents the standard deviation of the ideal operating temperature range for a three-way catalytic converter. This refers to the operating differential pressure data of the three-way catalytic converter. This is the median of the ideal operating differential pressure range for a three-way catalytic converter. This represents the standard deviation of the ideal operating differential pressure range for a three-way catalytic converter. Weighting for operating temperature adaptability. Weighting for working differential pressure adaptability. It is a 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 constructing the catalyst loading capacity vector include: The catalytic capacity coefficient of each catalyst component for a specific pollutant and the mass of each catalyst component were determined by catalyst property data. The product of the catalytic capacity coefficient of each catalyst component for a specific pollutant and the mass of the corresponding catalyst component is taken as the catalyst's loading capacity for the specific pollutant. A catalyst loading capacity vector is constructed by considering the catalyst's ability to handle different types of pollutants.

4. 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 calculating the catalytic loading structure adaptability factor and the catalytic loading capacity adaptability factor include: The cosine similarity between the catalyst loading capacity vector and the pollutant emission demand vector is used as the catalyst loading structure adaptability factor. The ratio of the pollutant emission demand vector magnitude to the catalyst loading capacity vector magnitude is used as the total catalyst loading ratio. The catalyst loading capacity adaptability factor is calculated using the total catalyst loading ratio. The formula for calculating the catalyst loading capacity adaptability factor is as follows: ； In the formula For the vector magnitude of pollutant emission demand, The magnitude of the catalyst loading capacity vector. As the catalytic load adaptability weight, This is the catalytic loading capacity adaptability factor.

5. 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 recommendations based on the comprehensive analysis results of catalytic environment adaptability and 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 optimization measures include adding 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. Optimization measures include supplementing the loading 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.

6. A sensor-based three-way catalytic converter efficiency monitoring and optimization system, applied to the sensor-based three-way catalytic converter efficiency monitoring and optimization method according to any one of claims 1-5, characterized in that, The system includes: The data acquisition module is used to collect vehicle operation data and road attribute data during vehicle operation, as well as catalytic environment data and catalyst attribute data during the operation of the three-way catalytic converter. The pollutant emission model building module is used to build pollutant emission models of vehicle exhaust and use the pollutant emission model to predict the characteristic data of pollutant emissions in vehicle exhaust. The catalytic environment adaptability analysis module is used to analyze the catalytic environment adaptability of the three-way catalytic converter based on catalytic environment data. The catalytic load adaptability analysis module is used to analyze the catalytic load adaptability of the three-way catalytic converter based on catalyst property data and pollutant emission characteristic data. The optimization suggestion generation module is used to generate optimization suggestions based on the comprehensive analysis results of catalytic environment adaptability and catalytic load adaptability.

7. 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 sensor-based three-way catalytic converter efficiency monitoring and optimization method as described in any one of claims 1-5 by calling the computer program stored in the memory.

8. A computer-readable storage medium, characterized in that, The device stores instructions that, when executed on a computer, cause the computer to perform the sensor-based three-way catalytic converter efficiency monitoring and optimization method as described in any one of claims 1-5.

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