Intelligent aging emission prediction control system and method

Abstract

The invention discloses an intelligent aging emission prediction control system, which comprises a function construction module for acquiring engine operation parameters in real time, and acquiring a high-temperature large-load risk value and a standing and start-stop risk value based on the engine operation parameters so as to obtain an aging emission prediction function; the control strategy module obtains a comprehensive prediction risk value and a risk source according to the aging emission prediction function, if the comprehensive prediction risk value is larger than or equal to a preset risk threshold value, it is judged that the engine has an aging emission out-of-tolerance risk, and a corresponding emission control strategy is triggered according to the risk source; and if the comprehensive prediction risk value is smaller than the preset risk threshold value, the engine operates normally. According to the invention, the aging emission out-of-tolerance risk of the engine can be actively identified and accurate control is triggered, so that the balance between emission compliance and performance protection is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent engine emission control, in particular to an intelligent aging emission prediction control system and method. BACKGROUND

[0002] Traditional engine emission control technology is difficult to cope with the problem of emission deterioration caused by component aging, especially in hybrid vehicle models, intermittent operation mode of engine (frequent start-stop, long-term standing) accelerates the aging process of catalyst sintering, oil nozzle carbon deposition, etc., leading to an implicit increase in the risk of emission exceeding the standard. The existing on-board diagnostic system relies on real-time detection of pollutant concentration by emission sensors, and triggers an alarm after the pollutant concentration exceeds the standard, which cannot predict and intervene in the aging risk in advance. Frequent start-stop and pure electric mode of engine lead to a dramatic increase in thermal cycle stress (such as sudden rise of cold start exhaust temperature), long-term standing of moisture corrosion, etc., and traditional control strategies lack targeted control mechanisms. SUMMARY

[0003] The purpose of the present application is to provide an intelligent aging emission prediction control system and method, which can actively identify the risk of engine aging emission exceeding the standard and trigger precise control, thereby achieving a balance between emission compliance and performance protection.

[0004] To achieve this purpose, the present application designs an intelligent aging emission prediction control system, which comprises: The function construction module is used for real-time acquisition of engine operating parameters, obtaining high-temperature and high-load risk value and standing and start-stop risk value based on the engine operating parameters, and obtaining aging emission prediction function according to the high-temperature and high-load risk value and the standing and start-stop risk value. The control strategy module is used for obtaining comprehensive prediction risk value and risk source according to the aging emission prediction function, determining that the engine has aging emission exceeding risk if the comprehensive prediction risk value is greater than or equal to the preset risk threshold, and triggering the corresponding emission control strategy according to the risk source; if the comprehensive prediction risk value is less than the preset risk threshold, the engine is in normal operation.

[0005] Preferably, the engine operating parameters include engine speed, engine torque, intake manifold temperature and exhaust temperature.

[0006] Preferably, the method for obtaining the high-temperature and high-load risk value is as follows: The high-temperature and high-load risk value is obtained according to the engine torque, intake manifold temperature and exhaust temperature, and its expression is as follows: Wherein, X is the high-temperature and high-load risk value, is an indicator value, when the engine intake manifold temperature > A, Value 1, when the engine intake manifold temperature ≤ A, Value 0; The risk weight coefficient of engine torque, The risk weight coefficient of exhaust temperature; When the engine intake manifold temperature > A ℃, monitor and collect the engine torque in the current t time period, calculate the time ratio of engine torque > B in the current t time period , get the engine torque normalization function ; ; Wherein Indicates the engine torque risk value; The preset time threshold; When the engine exhaust temperature > C, the exhaust temperature normalization function According to the real-time acquisition of engine exhaust temperature; When the engine exhaust temperature ≤ C, x 2=0; Wherein, Indicates the engine exhaust temperature risk value, Indicates the current engine exhaust temperature, Indicates the exhaust temperature risk threshold, Indicates the set maximum temperature limit.

[0007] Preferably, the acquisition method of the standing and start-stop risk value is: According to the engine speed to get the engine standing time and the engine start-stop frequency, so as to obtain the standing and start-stop risk value, its expression is: Wherein, The risk weight coefficient of engine standing time, The risk weight coefficient of engine start-stop frequency; The engine standing time normalization value, The engine start-stop frequency normalization value.

[0008] Preferably, the calculation method of the engine standing time normalization value : Wherein, Indicates the engine standing time risk value, Indicates the total engine standing time, Indicates the set maximum engine standing time threshold.

[0009] Preferably, the calculation method of the engine start-stop frequency normalization value : wherein, represents the engine start-stop number risk value, represents the engine start-stop number of the engine in a working cycle, represents the set maximum start-stop number threshold.

[0010] Preferably, the specific process of obtaining the aging emission prediction function according to the high-temperature heavy load risk value and the standing and start-stop risk value is as follows: wherein, is the weight coefficient of the calibration high-temperature heavy load risk value confidence, is the weight coefficient of the calibration standing and start-stop risk value confidence, is the high-temperature heavy load risk value, is the standing and start-stop risk value, is the comprehensive prediction risk value; when , it is determined that the risk mainly comes from the high-temperature heavy load risk; when , it is determined that the risk mainly comes from the standing and start-stop risk.

[0011] Preferably, if the comprehensive prediction risk value is greater than or equal to a preset risk threshold, it is determined that the engine has an aging emission out-of-tolerance risk, and the specific process of triggering a corresponding control strategy according to the risk source is as follows: a preset risk threshold is set ; when the comprehensive prediction risk value is greater than or equal to the preset risk threshold , it is determined that the engine has an aging emission out-of-tolerance risk, and a corresponding control strategy is triggered according to the risk source: if the risk mainly comes from the high-temperature heavy load risk, enter the equal-power power generation correction mode, adjust the engine speed under the premise of keeping the engine output power unchanged, and the adjustment range is the original engine speed reference ± D, and the adjustment step is E; if the risk mainly comes from the standing and start-stop risk, enter the injection pressure correction mode, and increase the fuel injection pressure by a preset pressure value based on the original injection pressure until the system maximum injection pressure is reached, and maintain the corrected injection pressure to work for a preset period before exiting the injection pressure correction mode.

[0012] An intelligent aging emission prediction control method, which comprises the following steps: real-time collection of engine operating parameters, obtaining a high-temperature heavy load risk value and a standing and start-stop risk value based on the engine operating parameters, and obtaining an aging emission prediction function according to the high-temperature heavy load risk value and the standing and start-stop risk value; According to the aging emission prediction function, a comprehensive prediction risk value and a risk source are obtained, if the comprehensive prediction risk value is greater than or equal to a preset risk threshold value, it is determined that the engine has an aging emission out-of-tolerance risk, and a corresponding emission control strategy is triggered according to the risk source; if the comprehensive prediction risk value is less than the preset risk threshold value, the engine is in normal operation.

[0013] A computer program product comprises a computer program which, when executed by a processor, implements the steps of the above method.

[0014] Advantages of the present application: The present application can actively identify the engine aging emission out-of-tolerance risk and trigger precise control, thereby achieving the balance between emission compliance and performance protection. The present application can actively intervene when the risk is identified, adaptively switch the control strategy according to the risk source, optimize the combustion process through equal power regulation of the speed, or improve the fuel atomization effect through the increase of the injection pressure, thereby effectively suppressing the generation and over-standard emission of pollutants such as nitrogen oxides and particulate matter without stopping the engine and sacrificing the power, and prolonging the service life of the engine. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 The figure is a structural schematic diagram of the present application; Figure 2 The figure is a flow chart of the present application. DETAILED DESCRIPTION

[0016] The present application will be further described in detail below in combination with the drawings and specific embodiments: Embodiment 1 An intelligent aging emission prediction control system, as shown in Figure 1 , it comprises: The function construction module is used for real-time acquisition of engine operation parameters, obtaining high-temperature heavy load risk values and static and start-stop risk values based on the engine operation parameters, and obtaining an aging emission prediction function according to the high-temperature heavy load risk values and the static and start-stop risk values. The design realizes real-time risk evaluation by unifying the high-temperature heavy load risk (instantaneous working condition) and the static and start-stop risk (cumulative effect) into a quantitative index, without relying on cloud computing or high-cost sensors; The control strategy module is used to obtain a comprehensive predicted risk value and risk source based on the aging emission prediction function. If the comprehensive predicted risk value is greater than or equal to a preset risk threshold, it is determined that the engine has an aging emission deviation risk, and the corresponding emission control strategy is triggered according to the risk source. If the comprehensive predicted risk value is less than the preset risk threshold, the engine operates normally. This design obtains a comprehensive predicted risk value and risk source through the aging emission prediction function, which can trigger differentiated control for different aging causes, avoiding the performance loss caused by "one-size-fits-all" approach. It automatically exits after ensuring the effectiveness of the control strategy, avoiding excessive intervention. It can reduce emissions while ensuring the stability of power output and effectively extend engine life.

[0017] In the above technical solution, the engine operating parameters include engine speed, engine torque, intake manifold temperature, and exhaust temperature; the above design collects engine operating parameters to calculate the high temperature and high load risk value and the idle and start-stop risk value.

[0018] In the above technical solution, the method for obtaining the high-temperature, high-load risk value is as follows: The high-temperature, high-load risk value is obtained based on engine torque, intake manifold temperature, and exhaust temperature, and its expression is: Where X represents the risk value for high temperature and heavy load. This is an indicated value; when the engine intake manifold temperature is greater than A (A is 60°C), The value is 1, when the engine intake manifold temperature is ≤ A (A is 60℃). The value is 0; The risk weighting coefficient for engine torque. Risk weighting coefficient for exhaust temperature ( , The value ranges from 0.55 to 0.70. The possible value is 0.58; The value ranges from 0.30 to 0.45. A possible value is 0.42; combustion thermodynamics (in-cylinder temperature field distribution) and aftertreatment chemistry (catalytic reaction kinetics) are transformed into quantifiable weights, and precise control is achieved through feedback from compression ratio / combustion chamber shape, emission standards, and failure rate, thereby obtaining... and ); When the engine intake manifold temperature is greater than A (A is 60℃), monitor and collect the engine torque within the current time period t (t is 2 minutes), and calculate the percentage of time within the current time period t (t is 2 minutes) where the engine torque is greater than B (B is 180 Nm). The engine torque normalization function is obtained. for ; in This indicates the engine torque risk value; The preset time threshold is 0.9. When the engine exhaust temperature is greater than C (where C is 900℃), the exhaust temperature normalization function is obtained based on the real-time collected engine exhaust temperature. When the engine exhaust temperature is ≤ C (C is 900℃), ; in, This indicates the risk value for engine exhaust temperature. This indicates the current engine exhaust temperature. This indicates the exhaust temperature risk threshold (the exhaust temperature risk threshold is 900℃). This indicates the set maximum temperature limit (the set maximum temperature limit is 1000℃); the above design uses the engine intake manifold temperature > A (A is 60℃) and the indicated value. Dual verification avoids misjudgment at low temperatures and accurately locks the risk window of high-temperature aging; by normalizing engine torque, it quantifies the accelerating effect of continuous high load on aging, distinguishes between instantaneous peak and real risk, and can linearly map the 90% to 100% proportion and the 0 to 1 risk value to match the carbon deposit growth rate; by normalizing exhaust temperature, it can accurately reflect the non-linear damage of exhaust temperature to engine aging.

[0019] In the above technical solution, the method for obtaining the risk values ​​of static and start-stop cycles is as follows: Based on the engine speed, the engine idle time and the number of engine start-stop cycles are obtained to acquire the idle time and start-stop risk values, the expression of which is: in, The risk weighting coefficient for engine idle time. Risk weighting coefficient for engine start-stop frequency ( , The value ranges from 0.60 to 0.75. The possible value is 0.60; The value ranges from 0.25 to 0.40. A possible value is 0.40; the environmental corrosion dynamics and mechanical wear model is transformed into quantifiable weights, and precise control is achieved through environmental-driven, behavior-driven, and failure-driven mechanisms to obtain... and ); This is the normalized value for engine idle time. The normalized value for the number of engine start-stop cycles is given. The above design obtains the risk values ​​for idle and start-stop cycles by adaptively allocating risk weights according to the main cause of aging.

[0020] In the technical solution, the engine standing time normalization value The calculation method is: wherein, represents the engine standing time risk value, represents the total engine standing time (engine standing refers to long-term non-operation of the engine (especially for new energy vehicles, long-term use of pure electric mode)), represents the set maximum engine standing time threshold value; the above design quantifies the moisture corrosion risk of long-term engine standing through engine standing time normalization, accurately predicts the engine internal corrosion and fuel deterioration caused by engine non-use, and prevents cold start emission exceeding.

[0021] In the technical solution, the engine start-stop number normalization value The calculation method is: wherein, represents the engine start-stop number risk value, represents the engine start-stop number in one working cycle (one working cycle can be set to 5000 kilometers or 7 days, depending on different powertrain systems), represents the set maximum start-stop number threshold value; the above design captures the engine mechanical wear caused by frequent start-stop through engine start-stop number normalization, identifies the sealing failure and lubrication deficiency caused by start-stop cycle, and reduces wear emission deterioration.

[0022] In the technical solution, the specific process of obtaining the aging emission prediction function according to the high-temperature heavy load risk value and the standing and start-stop risk value is: wherein, is the weight coefficient for calibrating the confidence of the high-temperature heavy load risk value, is the weight coefficient for calibrating the confidence of the standing and start-stop risk value wherein, The value range of is 0.65 to 0.85, The value can be 0.75; The value range of is 0.35 to 0.55, The value can be 0.25, and The value is obtained by converting material failure mechanism (such as catalyst sintering kinetics), environmental factors (temperature and humidity), and user habits (driving route) into quantifiable engineering parameters, and realizing dynamic optimal control through closed-loop data flow (from design to verification to update), is a high-temperature and high-load risk value, is a standing and start-stop risk value, is a comprehensive prediction risk value; when , it is determined that the risk mainly comes from the high-temperature and high-load risk; when , it is determined that the risk mainly comes from the standing and start-stop risk; the above design can adapt to different vehicle aging characteristics and environmental conditions by dynamically calibrating the weight coefficients of the high-temperature and high-load risk value and the standing and start-stop risk value, improve the prediction universality, ensure that the precise control is triggered for the current highest risk source at all times, clearly distinguish between high-temperature mechanical aging and start-stop chemical aging, and guide differentiated maintenance.

[0023] In the above technical solution, if the comprehensive prediction risk value is greater than or equal to a preset risk threshold, it is determined that the engine has an aging emission out-of-tolerance risk, and the specific process of triggering the corresponding control strategy according to the risk source is: a preset risk threshold is set The preset risk threshold may be set to 0.8; the preset risk threshold may be obtained by the failure physical critical point, the aging emission regulation boundary, and the minimum control cost to obtain the optimal solution); When the comprehensive prediction risk value is greater than or equal to the preset risk threshold , it is determined that the engine has an aging emission out-of-tolerance risk, and the corresponding control strategy is triggered according to the risk source: If the risk mainly comes from the high-temperature and high-load risk, enter the equal-power generation correction mode, adjust the engine speed under the premise of keeping the engine output power unchanged, and the adjustment range is the original engine speed reference ± D (D is 200 rpm), and the adjustment step is E (E is 50 rpm); If the risk mainly comes from the standing and start-stop risk, enter the injection pressure correction mode, increase the fuel injection pressure by a preset pressure value based on the original injection pressure until the system maximum injection pressure is reached, and maintain the corrected injection pressure for a preset period before exiting the injection pressure correction mode; the above design sets the preset risk thresholdIt can intervene in advance before emissions exceed the standard, avoiding the lag of remedial measures. By implementing precise control strategies for aging mechanisms caused by different risk sources, it can avoid "accidentally" damaging normal operating conditions. Through equal power generation correction, it can maintain constant power generation and ensure uninterrupted energy supply to the hybrid system. Through injection pressure correction, it can avoid continuous high pressure causing oil pump overload and extend engine life.

[0024] Example 2 An intelligent aging emission prediction and control method, such as Figure 2 As shown, engine operating parameters are collected in real time. Based on the engine operating parameters, the high temperature and high load risk value and the idle and start-stop risk value are obtained to obtain the aging emission prediction function. According to the aging emission prediction function, the comprehensive predicted risk value and risk source are obtained. If the comprehensive predicted risk value is greater than or equal to the preset risk threshold, it is determined that the engine has an aging emission deviation risk, and the corresponding emission control strategy is triggered according to the risk source. If the comprehensive predicted risk value is less than the preset risk threshold, the engine operates normally.

[0025] The specific methods for intelligent aging emission prediction and control include the following steps: Real-time acquisition of engine operating parameters; acquisition of high temperature and high load risk values ​​and idle and start-stop risk values ​​based on the engine operating parameters; and deriving of aging emission prediction function based on the high temperature and high load risk values ​​and idle and start-stop risk values. The comprehensive predicted risk value and risk source are obtained based on the aging emission prediction function. If the comprehensive predicted risk value is greater than or equal to the preset risk threshold, it is determined that the engine has an aging emission deviation risk, and the corresponding emission control strategy is triggered according to the risk source. If the comprehensive predicted risk value is less than the preset risk threshold, the engine operates normally.

[0026] Example 3 A computer program product includes a computer program that, when executed by a processor, implements the steps of the method described in Embodiment 2.

[0027] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0028] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 one or more flowcharts and / or blocks

[0029] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 one or more flowcharts and / or blocks

[0030] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 one or more flowcharts and / or blocks

[0031] Finally, it should be noted that the above embodiments are merely used to illustrate the technical solutions of the present application, instead of limiting the scope of protection of the present application. Although the present application is described in detail with reference to the above embodiments, it should be understood by those skilled in the art that, after reading the present application, those skilled in the art can make various changes, modifications or equivalent replacements to the specific embodiments of the present application. However, these changes, modifications or equivalent replacements are within the scope of protection of the present application.

[0032] The contents not described in detail in the specification belong to the prior art known by those skilled in the art.

Claims

1. An intelligent aging emission prediction and control system, characterized in that, It includes: The function construction module is used to collect engine operating parameters in real time, obtain high temperature and high load risk values ​​and idle and start-stop risk values ​​based on the engine operating parameters, and obtain aging emission prediction functions based on the high temperature and high load risk values ​​and idle and start-stop risk values. The control strategy module is used to obtain a comprehensive predicted risk value and risk source based on the aging emission prediction function. If the comprehensive predicted risk value is greater than or equal to a preset risk threshold, it is determined that the engine has an aging emission deviation risk, and the corresponding emission control strategy is triggered according to the risk source. If the overall predicted risk value is less than the preset risk threshold, the engine will operate normally.

2. The intelligent aging emission prediction and control system according to claim 1, characterized in that: The engine operating parameters include engine speed, engine torque, intake manifold temperature, and exhaust temperature.

3. The intelligent aging emission prediction and control system according to claim 2, characterized in that: The method for obtaining the risk value of high temperature and high load is as follows: The high-temperature, high-load risk value is obtained based on engine torque, intake manifold temperature, and exhaust temperature, and its expression is: Where X represents the risk value for high temperature and heavy load. This is an indicated value; when the engine intake manifold temperature is greater than A, The value is 1 when the engine intake manifold temperature is ≤ A. The value is 0; The risk weighting coefficient for engine torque. Risk weighting coefficient for exhaust temperature; When the engine intake manifold temperature is >A℃, monitor and collect the engine torque within the current time interval t, and calculate the percentage of time within the current time interval t where the engine torque is >B. The engine torque normalization function is obtained. for ; in This indicates the engine torque risk value; The preset time threshold; When the engine exhaust temperature is >C, the exhaust temperature normalization function is obtained based on the real-time collected engine exhaust temperature. When the engine exhaust temperature is ≤ C, ; in, This indicates the risk value for engine exhaust temperature. This indicates the current engine exhaust temperature. This indicates the exhaust temperature risk threshold. This indicates the maximum temperature limit set.

4. The intelligent aging emission prediction and control system according to claim 3, characterized in that: The method for obtaining the risk values ​​of static and start-stop cycles is as follows: Based on the engine speed, the engine idle time and the number of engine start-stop cycles are obtained to acquire the idle time and start-stop risk values, the expression of which is: in, The risk weighting coefficient for engine idle time. Risk weighting coefficient for the number of engine start-stop cycles; This is the normalized value for engine idle time. This is the normalized value for the number of engine start-stop cycles.

5. The intelligent aging emission prediction and control system according to claim 4, characterized in that: The normalized value of engine idle time The calculation method is as follows: in, This indicates the risk value for engine idle time. This indicates the total time the engine has been idle. This indicates the set maximum idle time threshold for the engine.

6. The intelligent aging emission prediction and control system according to claim 4, characterized in that: The normalized value of engine start-stop frequency The calculation method is as follows: in, This indicates the risk value based on the number of engine start-stop cycles. This indicates the number of times the engine starts and stops within one operating cycle. This indicates the maximum number of start-stop cycles set.

7. An intelligent aging emission prediction and control system according to claim 4, 5, or 6, characterized in that: The specific process for obtaining the aging emission prediction function based on the high temperature and high load risk value and the resting and start-up / shutdown risk value is as follows: in, To calibrate the weighting coefficients for the confidence level of high temperature and high load risk values, To calibrate the weighting coefficients for the confidence levels of risk values ​​during static and start-up / shutdown periods, This represents a high-temperature, high-load risk value. Risk values ​​for periods of inactivity and start-up / shutdown. To comprehensively predict risk values; when At that time, the risk assessment mainly stemmed from the risk of high temperature and high load; when At that time, the main risks to be identified came from the risks associated with idling and start-up / shutdown.

8. The intelligent aging emission prediction and control system according to claim 1, characterized in that: If the overall predicted risk value is greater than or equal to the preset risk threshold, it is determined that the engine has an aging emission exceeding the tolerance risk. The specific process of triggering the corresponding control strategy according to the source of the risk is as follows: Set a preset risk threshold ; When the comprehensive forecast risk value Greater than or equal to the preset risk threshold When an engine is deemed to have an aging emission risk exceeding acceptable limits, corresponding control strategies are triggered based on the source of the risk: If the risk mainly comes from the risk of high temperature and high load, then enter the equal power generation correction mode. Under the premise of keeping the engine output power unchanged, adjust the engine speed. The adjustment range is the original engine speed reference ± D, and the adjustment step size is E. If the risk mainly comes from the risks of being stationary and starting / stopping, then the injection pressure correction mode is entered, which increases the fuel injection pressure by adding a preset pressure value to the original injection pressure until the maximum injection pressure of the system is reached. The corrected injection pressure is maintained until the preset cycle is reached, and then the injection pressure correction mode is exited.

9. An intelligent aging emission prediction and control method, characterized in that, It includes: Real-time acquisition of engine operating parameters; acquisition of high temperature and high load risk values ​​and idle and start-stop risk values ​​based on the engine operating parameters; and deriving of aging emission prediction function based on the high temperature and high load risk values ​​and idle and start-stop risk values. The comprehensive predicted risk value and risk source are obtained based on the aging emission prediction function. If the comprehensive predicted risk value is greater than or equal to the preset risk threshold, it is determined that the engine has an aging emission deviation risk, and the corresponding emission control strategy is triggered according to the risk source. If the comprehensive predicted risk value is less than the preset risk threshold, the engine operates normally.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method of claim 9.

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