SCR aging degree real-time monitoring method and system and vehicle

Abstract

The invention discloses an SCR aging degree real-time monitoring method and system and a vehicle. The method comprises the following steps: defining a time period from the completion of each regeneration event to the occurrence of the next regeneration event as a monitoring period; an SCR basic aging coefficient accumulated based on the temperature history and SCR aging correction coefficients corresponding to the current monitoring period and the previous monitoring period are obtained; correcting the basic aging coefficient by using the two correction coefficients to obtain a final SCR aging coefficient; wherein in one monitoring period, the trust state of the monitoring data is identified by obtaining the number of times of ammonia leakage events and the corresponding saturated ammonia coverage rate, and the SCR aging correction coefficient of the current period is calculated according to the trust state. Through multi-cycle iterative correction and trust state recognition, reversible factor interference is effectively eliminated, stable and reliable aging coefficients are output, the irreversible aging degree of the SCR catalyst is accurately represented, and key data support is provided for urea injection control optimization, accurate OBD diagnosis and after-sales maintenance decision.

Description

Technical Field

[0001] This application relates to the field of engine aftertreatment control technology, specifically to a method, system, and vehicle for real-time monitoring of SCR aging. Background Technology

[0002] With the implementation of the China VI emission standards for many years, the aging problem of selective catalytic reduction (SCR) converters in diesel engines has become increasingly prominent. As the service life extends, some vehicles are experiencing more frequent SCR conversion efficiency failures, leading to a gradual deterioration in NOx and NH3 emission control. The root cause is the problem caused by SCR aging. Accurate estimation of the SCR catalyst aging level can reduce exhaust emissions and lower the OBD failure rate related to the SCR system catalyst. Therefore, accurate estimation and monitoring of the SCR aging level is particularly important.

[0003] There are three main reasons for SCR aging: 1. Thermal aging caused by high temperatures; 2. Poisoning caused by sulfur in fuel and other chemicals in engine oil. This can usually be reversed through regeneration and desulfurization, but long-term or severe poisoning can lead to irreversible poisoning, exhibiting symptoms consistent with aging; 3. The SCR catalyst can be blocked by urea crystals, which can be decomposed and crystallized at high temperatures to restore SCR capability. Other market issues such as SCR carrier cracking and coating peeling also occasionally occur, exhibiting symptoms consistent with SCR aging.

[0004] The aging degree of SCR mainly refers to the combination of high-temperature aging, irreversible sulfur poisoning, and occasional physical damage to the carrier. Reversible damage should not be considered aging and should be expressed using sulfur poisoning or crystallization levels, respectively. Accurate identification of the SCR aging degree not only helps in calculating reasonable urea injection volumes, controlling exhaust emissions effectively, and reducing related malfunctions, but it is also a crucial indicator for aftermarket repair and replacement of SCR components.

[0005] In related technologies, there are many ways to evaluate SCR aging and deactivation, some of the more typical ones are as follows: 1. The traditional method is based on the cumulative time of SCR carrier temperature under different temperature distributions. By comparing the characteristics of standard high-temperature aged SCR samples in the laboratory environment, the relationship between the cumulative time and the SCR high-temperature aging coefficient can be calibrated relatively accurately. Based on this calibrated relationship and the cumulative time of SCR temperature distribution, the SCR aging coefficient can be calculated.

[0006] 2. Chinese patent application CN103277177A discloses an SCR aging correction method, apparatus, and system. The method, apparatus, and system include: obtaining an SCR conversion efficiency, wherein the SCR conversion efficiency a = 1 - (M2 / M1); where M1 is the theoretical NOx mass flow rate upstream of the SCR chamber; M2 is the measured NOx mass flow rate downstream of the SCR chamber; using the first calculated SCR conversion efficiency as a baseline conversion efficiency; using the Nth calculated SCR conversion efficiency as the current conversion efficiency; where N is an integer greater than 1; obtaining a conversion efficiency correction coefficient, wherein the conversion efficiency correction coefficient is the current conversion efficiency divided by the baseline conversion efficiency; and multiplying the conversion efficiency correction coefficient by the theoretical real-time conversion efficiency as the corrected theoretical real-time conversion efficiency. By using this invention, the urea injection volume can be adjusted by fully considering the aging degree of the SCR system, no longer relying solely on the factory-set theoretical efficiency to control urea emissions, thus achieving qualified emissions of waste gas.

[0007] 3. Chinese patent application CN104234802A, "A Method for Determining the Aging of SCR Catalysts Based on NOx Feedback and Ammonia Storage Prediction," discloses a method for determining the aging of SCR catalysts based on NOx feedback and ammonia storage prediction. This invention, based on existing sensors and control signals in the SCR exhaust aftertreatment system of China IV / Euro IV diesel engines, predicts the theoretical ammonia storage level of the SCR catalyst in real time using the collected signals. It then combines this prediction with the NOx feedback signal from the catalyst outlet to obtain a predicted value of the actual ammonia storage capacity of the catalyst (active site density on the active coating surface), and compares this value with the theoretical reference value of a fresh catalyst to obtain a quantitative aging coefficient that can measure the degree of catalyst aging. The aging degree determination result can be directly used for urea injection dosage control in the urea injection unit and for OBD fault diagnosis related to the SCR system catalyst.

[0008] However, the following problems exist: Traditional methods can only characterize the normal high-temperature aging process of SCRs, which is generally sufficient for users with good vehicle maintenance habits who consistently use qualified fuel. However, for users who frequently use high-sulfur fuels, due to some irreversible sulfur poisoning issues, the actual aging rate of the SCR is much faster than the results calculated by this method. Furthermore, it cannot identify unexpected situations such as physical damage to the SCR carrier.

[0009] The method described in Chinese application CN103277177A calculates the SCR aging coefficient with good real-time performance and can identify more SCR aging conditions. However, the identified SCR aging coefficient includes both irreversible aging (high-temperature aging, physical damage, and partially irreversible sulfur poisoning) and reversible aging (reversible sulfur poisoning, urea crystallization blockage). This aging coefficient will fluctuate greatly. For example, if a normally used vehicle is suddenly refueled with high-sulfur fuel and experiences sulfur poisoning, the SCR conversion efficiency will drop significantly. In this case, the SCR may be mistakenly identified as deeply aged. However, after refueling and regeneration, the SCR will recover, and the SCR aging coefficient calculated by this method will return to normal. Obviously, this SCR aging coefficient is not a true SCR aging coefficient, as it does not exclude reversible components and does not conform to common understanding. The aftermarket cannot use this to determine whether the SCR catalytic converter should be replaced when repairing a vehicle.

[0010] The Chinese application CN104234802A has a similar problem to the Chinese application CN103277177A. Due to reversible sulfur poisoning or urea crystal blockage, the ammonia storage capacity will temporarily decrease significantly, which will also lead to the misjudgment of SCR as deep aging. Summary of the Invention

[0011] This application provides a method, system, and vehicle for real-time monitoring of SCR aging, which can solve the problem in the prior art that, when calculating the aging coefficient, it is impossible to distinguish whether the performance degradation is due to permanent damage (such as high-temperature sintering, irreversible sulfur poisoning, or physical damage to the carrier) or temporary, recoverable faults (such as reversible sulfur poisoning or urea crystallization blockage), and all of them are classified as aging. As a result, the estimated SCR aging coefficient cannot accurately represent the true permanent aging degree of the catalyst, and thus cannot provide a reliable basis for vehicle emission control and after-sales maintenance decisions.

[0012] In a first aspect, embodiments of this application provide a method for real-time monitoring of SCR aging, comprising: Obtain the SCR base aging coefficient, as well as the SCR aging correction coefficients corresponding to the current monitoring cycle and the previous monitoring cycle; a monitoring cycle is the period from the completion of each regeneration event to the occurrence of the next regeneration event; The SCR base aging coefficient is corrected using the SCR aging correction coefficient of the current monitoring cycle and the SCR aging correction coefficient of the previous monitoring cycle to obtain the final SCR aging coefficient. Specifically, within one monitoring cycle, the number of ammonia leakage events and the saturated ammonia coverage corresponding to the monitored ammonia leakage events are obtained; based on the number of monitored ammonia leakage events and the saturated ammonia coverage corresponding to the monitored ammonia leakage events, the trust status of the monitoring data is identified; and based on the trust status, the SCR aging correction coefficient for one monitoring cycle is calculated.

[0013] In one implementation, calculating the final SCR aging factor specifically includes the following steps: The target SCR aging correction factor is obtained by multiplying the SCR aging correction factor of the current monitoring cycle by the SCR aging correction factor of the previous monitoring cycle. The SCR base aging coefficient is corrected using the target SCR aging correction coefficient to obtain the final SCR aging coefficient.

[0014] In one implementation, obtaining the number of ammonia leak events and monitoring the saturated ammonia coverage corresponding to the ammonia leak events specifically includes the following steps: When entering a monitoring cycle, fuel consumption is accumulated from zero. When preset conditions are met, ammonia leakage monitoring is performed. The preset conditions include: the exhaust flow rate obtained by the vehicle's EECU is greater than a first calibration value, the SCR carrier temperature is within a first calibration range, the urea injection system is fault-free, the rear NOx sensor signal is valid, and the theoretical conversion efficiency of the SCR is greater than an efficiency calibration value. If the vehicle's EECU detects an ammonia leak for the first time during the monitoring period, it records the first cumulative fuel consumption at that time and calculates the first saturated ammonia coverage rate based on the ratio of the actual ammonia storage capacity of the SCR to the theoretical ammonia storage capacity at that time. If the vehicle's EECU meets the first set of preset conditions again within the monitoring period and identifies an ammonia leak event for the second time, the second cumulative fuel consumption at this time is recorded, and the second saturated ammonia coverage rate is calculated based on the ratio of the actual ammonia storage capacity of the SCR to the theoretical ammonia storage capacity at this time.

[0015] In one implementation, the trust status of monitoring data is identified based on the number of ammonia leak events monitored and the saturated ammonia coverage corresponding to the monitored ammonia leak events. This includes the following steps: If two ammonia leak events are detected within the monitoring period, the status is determined to be of high confidence. If an ammonia leak event is detected within the monitoring period, it is considered a low-confidence state. If no ammonia leak event is identified during the monitoring period, the status is determined to be a lack of critical diagnostic data.

[0016] In one implementation, the SCR aging correction factor for a monitoring cycle is calculated based on the trust status, specifically including the following steps: If the state is determined to be a high confidence state, the current state of the SCR system is identified based on the first saturated ammonia coverage, the second saturated ammonia coverage, the first cumulative fuel consumption, and the second cumulative fuel consumption. Based on the current state of the SCR system, the corresponding SCR aging correction coefficient is obtained.

[0017] In one implementation, the current state of the SCR system is identified based on the first saturated ammonia coverage, the second saturated ammonia coverage, the first cumulative fuel consumption, and the second cumulative fuel consumption, specifically including the following steps: When the first cumulative fuel consumption is less than the first preset calibration fuel consumption and the second cumulative fuel consumption is less than the second preset calibration fuel consumption, or when the difference between the second cumulative fuel consumption and the first cumulative fuel consumption is less than the third preset calibration fuel consumption, the SCR system is considered to be in a state of frequent ammonia leakage. If the ratio of the second saturated ammonia coverage to the first saturated ammonia coverage is less than the first preset calibration ratio, the SCR system is considered to be in a state of sulfur poisoning or urea crystallization. If the ratio of the second saturated ammonia coverage rate to the first saturated ammonia coverage rate is greater than the second preset calibration ratio, the SCR system is considered to be in an abnormal data state; the second preset calibration ratio is greater than the first preset calibration ratio. When the ratio of the second saturated ammonia coverage rate to the first saturated ammonia coverage rate is between the first preset calibration ratio and the second preset calibration ratio, the SCR system is considered to be in normal condition.

[0018] In one implementation, the corresponding SCR aging correction coefficient is derived based on the current state of the SCR system, specifically including the following steps: If the current state is one of frequent ammonia leakage, first determine if there is any abnormality in the urea injection system; if so, abandon this correction process; if not, set the SCR aging correction factor to 1. If the current state is sulfur poisoning or urea crystallization, the initial saturated ammonia coverage rate at the end of regeneration is calculated based on the first saturated ammonia coverage rate, the second saturated ammonia coverage rate, the first cumulative fuel consumption, and the second cumulative fuel consumption; then, the SCR aging correction coefficient is calculated by referring to a table based on the initial saturated ammonia coverage rate. If the current state is a data anomaly state, set the SCR aging correction factor to 1; If the current state is normal, calculate the average of the first saturated ammonia coverage rate and the second saturated ammonia coverage rate; calculate the SCR aging correction coefficient based on the average value from the table.

[0019] In one implementation, the SCR aging correction factor for a monitoring cycle is calculated based on the trust status, specifically including the following steps: If the state is determined to be low confidence, the SCR aging correction coefficient is calculated by referring to the table based on the first saturated ammonia coverage rate. If the system is deemed to lack key diagnostic data, the SCR system is considered to be in good emission control condition, and the SCR aging correction factor is set to 1.

[0020] Secondly, embodiments of this application provide a real-time monitoring system for the aging degree of an SCR, the real-time monitoring system for the aging degree of an SCR includes: The first module is used to obtain the SCR basic aging coefficient, as well as the SCR aging correction coefficients corresponding to the current monitoring cycle and the previous monitoring cycle; a monitoring cycle is the period from the completion of each regeneration event to the occurrence of the next regeneration event. The second module is used to acquire the number of ammonia leakage events and the saturated ammonia coverage corresponding to the monitored ammonia leakage events within a monitoring cycle; identify the trust status of the monitoring data based on the number of monitored ammonia leakage events and the saturated ammonia coverage corresponding to the monitored ammonia leakage events; and calculate the SCR aging correction coefficient for a monitoring cycle based on the trust status.

[0021] The third module is used to correct the basic SCR aging coefficient using the SCR aging correction coefficient of the current monitoring cycle and the SCR aging correction coefficient of the previous monitoring cycle, so as to obtain the final SCR aging coefficient.

[0022] Thirdly, embodiments of this application provide a vehicle comprising: engine; The SCR post-processing system includes a processor, a memory, and a real-time monitoring program for SCR aging degree stored in the memory and executable by the processor, wherein when the real-time monitoring program for SCR aging degree is executed by the processor, it implements the steps of a real-time monitoring method for SCR aging degree. The vehicle's EECU receives the final SCR aging coefficient output by the SCR aftertreatment system and optimizes the urea injection control strategy or performs on-board diagnostics based on the final SCR aging coefficient. The beneficial effects of the technical solutions provided in this application include: Significant technical effects were achieved by constructing a multi-layered monitoring and correction architecture. First, it defined the boundary of the monitoring cycle—the period between the completion of each regeneration and the start of the next. This temporal definition is crucial because it ensures that monitoring begins when the SCR catalyst is in a theoretically clean state, as regeneration removes reversible sulfur poisoning and urea crystallization, allowing subsequent monitoring data to more accurately reflect the irreversible aging process. Second, the scheme employs a dual evaluation model combining the SCR baseline aging coefficient and the SCR aging correction coefficient. The SCR baseline aging coefficient continuously reflects the thermal aging background value determined by temperature history, providing a stable baseline for aging trends. The SCR aging correction coefficient, calculated based on the number of ammonia leaks and saturated ammonia coverage within the current monitoring cycle, is used for precise fine-tuning of the baseline. Then, a trust status identification mechanism was introduced, so that all data is no longer blindly trusted. Instead, the credibility is judged based on the number of ammonia leakage events, thereby determining which confidence level algorithm to use to calculate the correction coefficient. This helps to distinguish whether the performance degradation is due to permanent damage, temporary or recoverable failure. Ultimately, the final SCR aging coefficient can become an indicator that is stable in trend, less affected by short-term reversible factors, and can reliably characterize the degree of permanent performance degradation of SCR catalysts, greatly improving its practical value in emission control closed-loop and after-sales maintenance decisions. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the general process of the real-time monitoring method for SCR aging degree in this application; Figure 2 This is a flowchart illustrating the specific steps involved in obtaining the SCR aging correction coefficient within a monitoring cycle in the real-time monitoring method for SCR aging degree of this application. Figure 3 This is a schematic diagram of the data flow in the real-time monitoring method for SCR aging degree of this application. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0025] First, some of the technical terms used in this application will be explained to help those skilled in the art understand this application.

[0026] The final SCR aging coefficient is used to stably characterize the degree of permanent performance degradation of the SCR catalyst due to irreversible factors.

[0027] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0028] Existing SCR aging monitoring methods cannot effectively distinguish between the reversible and irreversible parts of SCR catalyst performance degradation while ensuring data trend stability. As a result, the estimated aging coefficient is either incomplete or fluctuates drastically, failing to accurately characterize the true permanent aging degree of the catalyst. Consequently, they cannot provide a reliable and consistent basis for vehicle emission control and after-sales maintenance decisions.

[0029] This problem manifests itself in the following aspects: (1) The problem of not being able to effectively distinguish the nature of degradation: Existing technologies (such as schemes based on real-time conversion efficiency or ammonia storage capacity) cannot distinguish whether the performance degradation is due to permanent damage (such as high-temperature sintering, irreversible sulfur poisoning, physical damage to the carrier) or temporary, recoverable faults (such as reversible sulfur poisoning, urea crystal blockage) when calculating the aging coefficient. It classifies all performance degradation as "aging", resulting in distortion of the output signal.

[0030] (2) Issues with data reliability and applicability arising from this: Due to the lack of the aforementioned distinguishing ability, the calculated aging coefficient values ​​fluctuate drastically (for example, the coefficient deteriorates sharply after adding high-sulfur fuel, and then recovers rapidly after regeneration). This unstable output may cause unnecessary oscillations in urea injection control, affecting the stability of emission control performance.

[0031] (3) At the diagnostic and after-sales level: This parameter is completely unreliable as a criterion for assessing the remaining life of SCR catalysts and making replacement decisions, because after-sales personnel cannot determine whether a temporarily deteriorating coefficient means that the catalyst needs to be replaced or only needs one regeneration maintenance, which severely limits its commercial application value.

[0032] In summary, the purpose of this application is to output a stable SCR aging coefficient that reflects only irreversible aging, thereby characterizing the true permanent aging degree of the catalyst.

[0033] In a first aspect, embodiments of this application provide a method for real-time monitoring of SCR aging, comprising: Step 100: Obtain the SCR base aging coefficient, as well as the SCR aging correction coefficients corresponding to the current monitoring cycle and the previous monitoring cycle; a monitoring cycle is the period from the completion of each regeneration event to the occurrence of the next regeneration event; Step 200: Correct the SCR base aging coefficient using the SCR aging correction coefficient of the current monitoring cycle and the SCR aging correction coefficient of the previous monitoring cycle to obtain the final SCR aging coefficient. The specific steps for obtaining the SCR aging correction coefficient within one monitoring cycle are as follows: 1001. Obtain the number of ammonia leak events and monitor the saturated ammonia coverage corresponding to the ammonia leak events; 1002. Based on the number of ammonia leak events monitored and the saturated ammonia coverage corresponding to the monitored ammonia leak events, identify the trust status of the monitoring data; 1003. Based on the trust status, calculate the SCR aging correction coefficient for one monitoring cycle.

[0034] The above method for obtaining the basic aging coefficient of SCR is as follows: based on the cumulative duration of SCR carrier temperature under different temperature distributions, the high-temperature aging coefficient of SCR is calculated by referring to a table. This is the existing calculation method, which is well known in the field, and therefore will not be explained in detail.

[0035] The above-described multi-layered monitoring and correction architecture yielded significant technical benefits. Firstly, it defined the boundary of the monitoring cycle—the period between the completion of each regeneration and the start of the next. This temporal definition is crucial because it ensures that monitoring begins when the SCR catalyst is theoretically clean, as regeneration removes reversible sulfur poisoning and urea crystallization, allowing subsequent monitoring data to more accurately reflect the irreversible aging process. Secondly, the scheme employs a dual evaluation model combining the SCR baseline aging coefficient and the SCR aging correction coefficient. The baseline aging coefficient continuously reflects the thermal aging background value determined by temperature history, providing a stable baseline for the aging trend. The SCR aging correction coefficient, calculated based on the number of ammonia leaks and the saturated ammonia coverage within the current monitoring cycle, is used for precise fine-tuning of the baseline. Then, a trust status identification mechanism was introduced, so that all data is no longer blindly trusted. Instead, the credibility is judged based on the number of ammonia leakage events, thereby determining which confidence level algorithm to use to calculate the correction coefficient. This helps to distinguish whether the performance degradation is due to permanent damage, temporary or recoverable failure. Ultimately, the final SCR aging coefficient can become an indicator that is stable in trend, less affected by short-term reversible factors, and can reliably characterize the degree of permanent performance degradation of SCR catalysts, greatly improving its practical value in emission control closed-loop and after-sales maintenance decisions.

[0036] In some preferred embodiments, the final SCR aging factor is calculated, specifically including the following steps: The SCR aging correction factor α for the current monitoring period and the SCR aging correction factor α for the previous monitoring period are combined. t-1Multiply to obtain the target SCR aging correction factor α t ; where the SCR aging correction factor α for the current monitoring period is one of α1, α2, α3, or 1 as described below; The SCR base aging coefficient is corrected using the target SCR aging correction coefficient to obtain the final SCR aging coefficient.

[0037] In this embodiment, the specific correction algorithm for the final coefficient is further defined, resulting in clear and beneficial technical effects. Its core lies in explicitly defining the operation of multiplying the SCR aging correction coefficient of the current monitoring period with the SCR aging correction coefficient of the previous monitoring period. This iterative multiplication relationship is key to achieving long-term stability and historical cumulative effects of the aging coefficient. Compared to simple assignment or weighted averaging, multiplication means that the correction coefficient calculated in each monitoring period is combined with the correction results of all past periods. This design ensures that the final aging coefficient is not a short-term fluctuating value, but a cumulative amount that smoothly reflects the performance degradation history of the SCR throughout its entire lifespan. Even if the correction factor in a certain period tends to be conservative due to poor data quality, it will not disrupt the overall trend, but only pause the correction process; and when a high-confidence correction factor is obtained, it will reliably update the cumulative coefficient. This algorithm structure effectively filters out noise and short-term interference, ensuring the smoothness and reliability of the output signal, and solving the core defect mentioned in the background art of the existing scheme's aging coefficient exhibiting large fluctuations.

[0038] In some preferred embodiments, obtaining the number of ammonia leak events and monitoring the saturated ammonia coverage corresponding to the ammonia leak events specifically includes the following steps: When entering a monitoring cycle, fuel consumption is accumulated from zero. When preset conditions are met, ammonia leakage monitoring is performed. The preset conditions include: the exhaust flow rate obtained by the vehicle's EECU is greater than a first calibration value, the SCR carrier temperature is within a first calibration range, the urea injection system is fault-free, the rear NOx sensor signal is valid, and the theoretical conversion efficiency of the SCR is greater than an efficiency calibration value. If the vehicle's EECU detects an ammonia leak for the first time during the monitoring period, it records the first cumulative fuel consumption M1 at this time and calculates the first saturated ammonia coverage θ1 based on the ratio of the actual ammonia storage capacity of the SCR to the theoretical ammonia storage capacity at this time. If the vehicle's EECU meets the first set of preset conditions again within the monitoring period and identifies an ammonia leak event for the second time, the second cumulative fuel consumption M2 at this time is recorded, and the second saturated ammonia coverage θ2 is calculated based on the ratio of the actual ammonia storage capacity of the SCR to the theoretical ammonia storage capacity at this time.

[0039] In this embodiment, the collection of monitoring data is strictly limited, thereby ensuring the reliability and validity of the data upon which subsequent calculations rely from the outset. First, it specifies that fuel consumption should be accumulated from zero, establishing a unified time or mileage benchmark for the two ammonia leak events, making subsequent trend comparisons (such as the rate of decrease in saturated ammonia coverage) physically meaningful and comparable. Second, it sets a set of preset conditions as prerequisites for triggering ammonia leak monitoring. These conditions (such as exhaust flow rate, temperature range, system fault-free operation, sensor effectiveness, and sufficient theoretical efficiency) are not arbitrarily set; each is a necessary prerequisite to ensure that the SCR system is in a steady-state operating condition suitable for effective diagnosis. For example, sufficient exhaust flow rate and temperature are the basis for the normal progress of urea hydrolysis and the SCR reaction; system fault-free operation and sensor effectiveness guarantee data reliability; sufficient theoretical efficiency ensures that an ammonia leak at this time has diagnostic value (indicating that ammonia is excessive). Only data collected when all these conditions are met can truly reflect the ammonia storage capacity of the SCR, thereby greatly reducing the possibility of collecting invalid or misleading data under transient conditions or system anomalies, laying a solid data foundation for the accurate execution of subsequent advanced algorithms.

[0040] In some preferred embodiments, the trust status of monitoring data is identified based on the number of ammonia leak events monitored and the saturated ammonia coverage corresponding to the monitored ammonia leak events. This specifically includes the following steps: If two ammonia leak events are detected within the monitoring period, the status is determined to be of high confidence. If an ammonia leak event is detected within the monitoring period, it is considered a low-confidence state. If no ammonia leak event is identified during the monitoring period, the status is determined to be a lack of critical diagnostic data.

[0041] In this embodiment, an intelligent, data-sufficiency-based trust decision hierarchy is constructed, significantly improving the system's robustness and decision rationality. It transforms the complex physicochemical state identification problem into an assessment of the data's quality. Specifically, it categorizes monitoring results into three trust states: a high-confidence state corresponds to two ammonia leak data points, providing ample data support for complex trend comparisons and mathematical calculations (such as linear extrapolation), allowing the system to confidently execute precise corrections. A low-confidence state corresponds to only one data point; the system identifies insufficient information and automatically downgrades to a conservative calculation strategy to avoid over-correction due to the uncertainty of a single data point. A lack of key diagnostic data corresponds to no ammonia leak, a strong signal indicating the system is functioning well and requires no correction. This hierarchical trust mechanism prevents the system from forcibly drawing conclusions from low-quality or incomplete data, instead adaptively selecting the most appropriate processing strategy based on information completeness. This effectively prevents misjudgments under unsatisfactory data conditions, ensuring the stability of the entire monitoring process and the reliability of the output results, overcoming the problem of misjudgments in existing technologies. In some preferred embodiments, the SCR aging correction factor for a monitoring cycle is calculated based on the trust status, specifically including the following steps: If the state is determined to be a high confidence state, the current state of the SCR system is identified based on the first saturated ammonia coverage, the second saturated ammonia coverage, the first cumulative fuel consumption, and the second cumulative fuel consumption. Based on the current state of the SCR system, the corresponding SCR aging correction coefficient is obtained.

[0042] In this embodiment, the system's advanced diagnostic and precise calculation capabilities are supported by high-confidence data. When the system determines it is in a high-confidence state (i.e., successfully capturing two ammonia leak events), it activates its core and most precise correction mode. It first confirms the availability of sufficient data, then specifies that it will utilize this rich data for a two-stage operation—first identifying the current state of the SCR system, and then deriving the corresponding SCR aging correction coefficient. This means that the calculation of the correction coefficient is not blind, but highly dependent on a precise judgment of the system's current physicochemical state. For example, whether the system is aging normally, undergoing reversible poisoning, or experiencing data anomalies; different states will trigger drastically different coefficient calculation paths. This state-identification-based differentiated processing strategy is a key step in distinguishing between reversible and irreversible aging. It ensures that the final calculated SCR aging correction coefficient is not a simple mathematical calculation result, but a precise output with physical meaning that reflects the true health state of the SCR, thus providing a core guarantee for obtaining high-quality aging assessment results.

[0043] In some preferred embodiments, the current state of the SCR system is identified based on the first saturated ammonia coverage, the second saturated ammonia coverage, the first cumulative fuel consumption, and the second cumulative fuel consumption, specifically including the following steps: When the first cumulative fuel consumption is less than the first preset calibration fuel consumption and the second cumulative fuel consumption is less than the second preset calibration fuel consumption, or when the difference between the second cumulative fuel consumption and the first cumulative fuel consumption is less than the third preset calibration fuel consumption, the SCR system is considered to be in a state of frequent ammonia leakage. If the ratio of the second saturated ammonia coverage to the first saturated ammonia coverage is less than the first preset calibration ratio, the SCR system is considered to be in a state of sulfur poisoning or urea crystallization. If the ratio of the second saturated ammonia coverage rate to the first saturated ammonia coverage rate is greater than the second preset calibration ratio, the SCR system is considered to be in an abnormal data state; the second preset calibration ratio is greater than the first preset calibration ratio. When the ratio of the second saturated ammonia coverage rate to the first saturated ammonia coverage rate is between the first preset calibration ratio and the second preset calibration ratio, the SCR system is considered to be in normal condition.

[0044] This embodiment illustrates how to determine the specific state of the SCR system, which is the core decision-making process for achieving intelligent diagnosis. This is achieved through four parallel decision branches: First, the judgment of frequent ammonia leakage is based on the absolute value of cumulative fuel consumption and the time difference. This can effectively identify abnormal operating conditions (such as urea injection system failure), thereby avoiding misjudging the performance degradation caused by system failure as catalytic converter aging and improving the accuracy of diagnosis.

[0045] Secondly and fourthly, the determination of sulfur poisoning / crystallization state versus normal state both rely on comparing the saturation ratio with a preset threshold. A decreasing trend in the ratio clearly indicates a reversible process of continuous coverage of active sites; while a stable ratio indicates a normal state. This criterion based on relative change trends is less sensitive to factors such as engine operating condition fluctuations and sensor accuracy compared to absolute numerical criteria, making the judgment more reliable.

[0046] Third, the abnormal data state detection is used to capture situations with abnormally high ratios. This is an effective data filtering mechanism that can discard unreliable data points caused by instantaneous sensor errors or model calculation inaccuracies, preventing them from contaminating the correction process. In summary, a complete and reliable state identification logic is provided, offering the correct decision-making direction for subsequent accurate corrections.

[0047] In some preferred embodiments, the corresponding SCR aging correction coefficient is derived based on the current state of the SCR system, specifically including the following steps: If the current state is one of frequent ammonia leakage, first determine if there is any abnormality in the urea injection system; if so, abandon this correction process; if not, set the SCR aging correction factor to 1. If the current state is sulfur poisoning or urea crystallization, the initial saturated ammonia coverage rate at the end of regeneration is calculated based on the first saturated ammonia coverage rate, the second saturated ammonia coverage rate, the first cumulative fuel consumption, and the second cumulative fuel consumption. Then, the SCR aging correction coefficient is calculated by looking up the table based on the initial saturated ammonia coverage rate. The initial saturated ammonia coverage rate at the end of regeneration is calculated as θ = (M1*θ2 - M2*θ1) / (M1 - M2). The SCR aging correction coefficient α1 is calculated by looking up θ in the table, with a recommended range of 0.998 < α1 < 1.002. If the current state is a data anomaly state, set the SCR aging correction factor to 1; If the current state is normal, calculate the average of the first and second saturated ammonia coverage rates; calculate the SCR aging correction factor based on the average value from a table. Calculate the average value θ' = (θ1 + θ2) / 2; calculate the SCR aging correction factor α2 based on θ' from a table, with a recommended range of 0.998 < α2 < 1.002. In this embodiment, for frequent ammonia leaks, the effect is to prioritize faults, suspend the aging assessment process, and inspect the system, avoiding meaningless correction calculations when the system is abnormal. For sulfur poisoning or urea crystallization, the core effect is the use of linear extrapolation to estimate the theoretical coverage rate at the beginning of regeneration. This cleverly isolates the impact of reversible poisoning after self-regeneration on the current coverage rate, thus deriving a theoretical value that only reflects the degree of irreversible aging. The correction coefficient obtained from this table can then accurately correct only the irreversible portion. For abnormal data, the effect is to decisively discard unreliable data and set the coefficient to 1, an effective fault-tolerance mechanism that ensures the system's robustness. For normal conditions, the effect is to use an averaging algorithm to smooth out possible errors in a single calculation, thus obtaining a correction coefficient that better represents the true SCR level within the monitoring period. This state-specific processing strategy ensures that the output result is the optimal estimate under all circumstances.

[0048] In some preferred embodiments, the SCR aging correction factor for a monitoring cycle is calculated based on the trust status, specifically including the following steps: If the condition is determined to be low confidence, the SCR aging correction factor α3 is calculated from the table based on the first saturated ammonia coverage rate. The recommended range is 0.999 < α3 < 1.001. Since there is only one ammonia leak, instead of using two values ​​for comparison and correction, the correction factor needs to be more conservative to avoid incorrect correction. If the system is deemed to lack key diagnostic data, the SCR system is considered to be in good emission control condition, and the SCR aging correction factor is set to 1.

[0049] In this embodiment, the degradation processing logic for insufficient data is improved, ensuring the applicability and reliability of the entire method in various practical scenarios. When the system is only in a low-confidence state (only one ammonia leak), the effect is to adopt a conservative strategy: directly look up the correction coefficient from the table based on the single data and limit it to a narrower range closer to 1. This indicates that the system acknowledges the limitations of the current data and therefore chooses to make a very small and safe correction rather than risking a large adjustment that may be inaccurate. This effectively avoids erroneous corrections and prevents drastic jumps in the output coefficient. When the system is in a state lacking key diagnostic data (no ammonia leak), the effect is to give a clear positive judgment: interpret the state as good emission control and set the correction coefficient to 1. This is not only a reasonable inference (no ammonia escape usually means high NOx conversion efficiency and normal system operation), but also a stabilization strategy, meaning that the SCR performance is considered to have not changed significantly compared to the baseline aging coefficient within this cycle, so no update is needed. These two degradation strategies together ensure that the system can maintain stable output and avoid misleading results even with limited information.

[0050] The above settings should be understood as follows: After a vehicle successfully undergoes regeneration (including DPF regeneration, SCR desulfurization regeneration, and SCR crystallization removal regeneration), it can be assumed that the SCR has completed the desulfurization and urea crystal removal process under high temperature (if sulfur poisoning or urea crystallization exists). The SCR's condition at this point represents its true aging state. During normal vehicle operation, due to operating conditions, if the SCR ammonia storage is saturated, occasional NH3 leakage may occur. The EECU can identify ammonia leakage through methods such as cross-sensitivity of the rear NOx sensor. At this time, the EECU can calculate the saturated ammonia coverage rate based on the ratio of the actual ammonia storage to the theoretical ammonia storage capacity. The actual ammonia storage is obtained by integrating the ammonia flowing into the SCR minus the ammonia reacting with NOx and then subtracting the leaked ammonia. The theoretical ammonia storage capacity is calculated by the EECU based on the current SCR carrier temperature and the degree of SCR aging. These two points are well-known to those skilled in the art and will not be elaborated upon here. Theoretically, if the SCR aging level is accurately represented and there is no sulfur poisoning or urea crystallization, the saturated ammonia coverage will be approximately equal to 1. However, in reality, if the SCR ages faster than expected, or if sulfur poisoning or urea crystallization occurs, the saturated ammonia coverage will be less than 1. By comparing the saturated ammonia coverage during two ammonia leaks, reversible sulfur poisoning and urea crystallization can be identified, and the saturated ammonia coverage in the absence of sulfur poisoning or urea crystallization can be calculated. This allows for the correction of the SCR aging coefficient, continuously bringing it closer to the current actual aging level, thus forming a closed-loop control effect.

[0051] Secondly, a real-time monitoring system for the aging degree of an SCR is provided, the real-time monitoring system for the aging degree of an SCR includes: The first module is used to obtain the SCR basic aging coefficient, as well as the SCR aging correction coefficients corresponding to the current monitoring cycle and the previous monitoring cycle; a monitoring cycle is the period from the completion of each regeneration event to the occurrence of the next regeneration event. The second module is used to acquire the number of ammonia leakage events and the saturated ammonia coverage corresponding to the monitored ammonia leakage events within a monitoring cycle; identify the trust status of the monitoring data based on the number of monitored ammonia leakage events and the saturated ammonia coverage corresponding to the monitored ammonia leakage events; and calculate the SCR aging correction coefficient for a monitoring cycle based on the trust status.

[0052] The third module is used to correct the basic SCR aging coefficient using the SCR aging correction coefficient of the current monitoring cycle and the SCR aging correction coefficient of the previous monitoring cycle, so as to obtain the final SCR aging coefficient.

[0053] Thirdly, a vehicle is provided, comprising: engine; The SCR post-processing system includes a processor, a memory, and a real-time monitoring program for SCR aging degree stored in the memory and executable by the processor, wherein when the real-time monitoring program for SCR aging degree is executed by the processor, it implements the steps of a real-time monitoring method for SCR aging degree. The vehicle's EECU is used to receive the final SCR aging coefficient output by the SCR aftertreatment system, and to optimize the urea injection control strategy or perform on-board diagnostics based on the final SCR aging coefficient.

[0054] The core feature of the vehicle lies in its SCR aftertreatment system, which possesses a processor and memory capable of executing the aforementioned advanced aging monitoring programs. This endows the vehicle with advanced self-diagnostic capabilities for its health status. The ultimate effect is that the vehicle's EECU can utilize the highly reliable final SCR aging coefficient output by this system for two levels of optimization: first, real-time optimization of the urea injection control strategy, for example, adjusting the NH3 / NOx ratio setting based on the actual aging level to minimize ammonia escape while ensuring emission compliance; second, precise on-board diagnostics (OBD), which can more accurately trigger fault codes related to catalyst aging and reduce false alarms. Ultimately, this provides unprecedented data support for the vehicle's full lifecycle management and after-sales maintenance, transforming the decision to replace the SCR catalyst from experience-based judgment to data-driven precision, addressing the core pain point mentioned in the background technology that the aftermarket cannot perform maintenance based on existing aging coefficients.

[0055] Fourthly, this application provides a real-time monitoring device for the aging degree of an SCR. The real-time monitoring device for the aging degree of an SCR can be a device with data processing capabilities, such as a microcontroller, a personal computer (PC), a laptop computer, or a server.

[0056] In this embodiment, the SCR aging level real-time monitoring device may include a processor, a memory, a communication interface, and a communication bus.

[0057] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.

[0058] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces used for interconnecting internal components of the SCR aging level real-time monitoring device, as well as interfaces used for interconnecting the SCR aging level real-time monitoring device with other devices (such as other computing devices or user equipment). Physical interfaces can be CAN interfaces, Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be diagnostic instruments, displays, keyboards, etc.

[0059] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0060] The processor can be a general-purpose processor, which can call the SCR aging level real-time monitoring program stored in memory and execute the SCR aging level real-time monitoring method provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the SCR aging level real-time monitoring program is called can be referred to the various embodiments of the SCR aging level real-time monitoring method of this application, and will not be repeated here.

[0061] Fifthly, embodiments of this application also provide a computer-readable storage medium.

[0062] The present application has a computer-readable storage medium storing a real-time monitoring program for SCR aging degree, wherein when the real-time monitoring program for SCR aging degree is executed by a processor, it implements the steps of the real-time monitoring method for SCR aging degree as described above.

[0063] The method implemented when the SCR aging degree real-time monitoring program is executed can be referred to in the various embodiments of the SCR aging degree real-time monitoring method of this application, and will not be repeated here.

[0064] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0065] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0066] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0067] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0068] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0069] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0070] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for real-time monitoring of SCR aging degree, characterized in that, It includes: Obtain the basic SCR aging coefficient, as well as the SCR aging correction coefficients corresponding to the current monitoring cycle and the previous monitoring cycle; A monitoring cycle is the period from the completion of each regeneration event to the occurrence of the next regeneration event; The SCR base aging coefficient is corrected using the SCR aging correction coefficient of the current monitoring cycle and the SCR aging correction coefficient of the previous monitoring cycle to obtain the final SCR aging coefficient. Within one monitoring cycle, the number of ammonia leakage events and the saturated ammonia coverage corresponding to the monitored ammonia leakage events are obtained; Based on the number of ammonia leak events monitored and the saturated ammonia coverage corresponding to the monitored ammonia leak events, the trust status of the monitoring data is identified; based on the trust status, the SCR aging correction coefficient for one monitoring cycle is calculated.

2. The method for real-time monitoring of SCR aging degree as described in claim 1, characterized in that, The calculation of the final SCR aging factor includes the following steps: The target SCR aging correction factor is obtained by multiplying the SCR aging correction factor of the current monitoring cycle by the SCR aging correction factor of the previous monitoring cycle. The SCR base aging coefficient is corrected using the target SCR aging correction coefficient to obtain the final SCR aging coefficient.

3. The method for real-time monitoring of SCR aging degree as described in claim 1, characterized in that, Obtaining the number of ammonia leak events and monitoring the saturated ammonia coverage corresponding to each event involves the following steps: When entering a monitoring cycle, fuel consumption is accumulated from zero. When preset conditions are met, ammonia leakage monitoring is performed. The preset conditions include: the exhaust flow rate obtained by the vehicle's EECU is greater than a first calibration value, the SCR carrier temperature is within a first calibration range, the urea injection system is fault-free, the rear NOx sensor signal is valid, and the theoretical conversion efficiency of the SCR is greater than an efficiency calibration value. If the vehicle's EECU detects an ammonia leak for the first time during the monitoring period, it records the first cumulative fuel consumption at that time and calculates the first saturated ammonia coverage rate based on the ratio of the actual ammonia storage capacity of the SCR to the theoretical ammonia storage capacity at that time. If the vehicle's EECU meets the first set of preset conditions again within the monitoring period and identifies an ammonia leak event for the second time, the second cumulative fuel consumption at this time is recorded, and the second saturated ammonia coverage rate is calculated based on the ratio of the actual ammonia storage capacity of the SCR to the theoretical ammonia storage capacity at this time.

4. The method for real-time monitoring of SCR aging degree as described in claim 3, characterized in that, Based on the number of ammonia leak events monitored and the corresponding saturated ammonia coverage, the trust status of the monitoring data is identified, specifically including the following steps: If two ammonia leak events are detected within the monitoring period, the status is determined to be of high confidence. If an ammonia leak event is detected within the monitoring period, it is considered a low-confidence state. If no ammonia leak event is identified during the monitoring period, the status is determined to be a lack of critical diagnostic data.

5. The method for real-time monitoring of SCR aging degree as described in claim 4, characterized in that, Based on the trust status, the SCR aging correction factor for one monitoring cycle is calculated, specifically including the following steps: If the state is determined to be a high confidence state, the current state of the SCR system is identified based on the first saturated ammonia coverage, the second saturated ammonia coverage, the first cumulative fuel consumption, and the second cumulative fuel consumption. Based on the current state of the SCR system, the corresponding SCR aging correction coefficient is obtained.

6. The method for real-time monitoring of SCR aging degree as described in claim 5, characterized in that, Based on the first saturated ammonia coverage rate, the second saturated ammonia coverage rate, the first cumulative fuel consumption, and the second cumulative fuel consumption, the current state of the SCR system is identified, specifically including the following steps: When the first cumulative fuel consumption is less than the first preset calibration fuel consumption and the second cumulative fuel consumption is less than the second preset calibration fuel consumption, or when the difference between the second cumulative fuel consumption and the first cumulative fuel consumption is less than the third preset calibration fuel consumption, the SCR system is considered to be in a state of frequent ammonia leakage. If the ratio of the second saturated ammonia coverage to the first saturated ammonia coverage is less than the first preset calibration ratio, the SCR system is considered to be in a state of sulfur poisoning or urea crystallization. If the ratio of the second saturated ammonia coverage rate to the first saturated ammonia coverage rate is greater than the second preset calibration ratio, the SCR system is considered to be in an abnormal data state; the second preset calibration ratio is greater than the first preset calibration ratio. When the ratio of the second saturated ammonia coverage rate to the first saturated ammonia coverage rate is between the first preset calibration ratio and the second preset calibration ratio, the SCR system is considered to be in normal condition.

7. The method for real-time monitoring of SCR aging degree as described in claim 6, characterized in that, Based on the current state of the SCR system, the corresponding SCR aging correction factor is derived, which includes the following steps: If the current state is one of frequent ammonia leakage, first determine if there is any abnormality in the urea injection system; if so, abandon this correction process; if not, set the SCR aging correction factor to 1. If the current state is sulfur poisoning or urea crystallization, the initial saturated ammonia coverage rate at the end of regeneration is calculated based on the first saturated ammonia coverage rate, the second saturated ammonia coverage rate, the first cumulative fuel consumption, and the second cumulative fuel consumption; then, the SCR aging correction coefficient is calculated by referring to a table based on the initial saturated ammonia coverage rate. If the current state is a data anomaly state, set the SCR aging correction factor to 1; If the current state is normal, calculate the average of the first saturated ammonia coverage rate and the second saturated ammonia coverage rate; calculate the SCR aging correction coefficient based on the average value from the table.

8. The method for real-time monitoring of SCR aging degree as described in claim 4, characterized in that, Based on the trust status, the SCR aging correction factor for one monitoring cycle is calculated, specifically including the following steps: If the state is determined to be low confidence, the SCR aging correction coefficient is calculated by referring to the table based on the first saturated ammonia coverage rate. If the system is deemed to lack key diagnostic data, the SCR system is considered to be in good emission control condition, and the SCR aging correction factor is set to 1.

9. A real-time monitoring system for SCR aging degree, characterized in that, The real-time monitoring system for SCR aging includes: The first module is used to obtain the SCR basic aging coefficient, as well as the SCR aging correction coefficients corresponding to the current monitoring cycle and the previous monitoring cycle; a monitoring cycle is the period from the completion of each regeneration event to the occurrence of the next regeneration event. The second module is used to acquire the number of ammonia leakage events and the saturated ammonia coverage corresponding to the monitored ammonia leakage events within a monitoring cycle; identify the trust status of the monitoring data based on the number of monitored ammonia leakage events and the saturated ammonia coverage corresponding to the monitored ammonia leakage events; and calculate the SCR aging correction coefficient for a monitoring cycle based on the trust status. The third module is used to correct the basic SCR aging coefficient using the SCR aging correction coefficient of the current monitoring cycle and the SCR aging correction coefficient of the previous monitoring cycle, so as to obtain the final SCR aging coefficient.

10. A vehicle, characterized in that, It includes: engine; The SCR post-processing system includes a processor, a memory, and an SCR aging degree real-time monitoring program stored in the memory and executable by the processor, wherein when the SCR aging degree real-time monitoring program is executed by the processor, it implements the steps of the SCR aging degree real-time monitoring method as described in any one of claims 1 to 8. The vehicle's EECU is used to receive the final SCR aging coefficient output by the SCR aftertreatment system, and to optimize the urea injection control strategy or perform on-board diagnostics based on the final SCR aging coefficient.

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