An optimization control method for enabling closed loop of an EGR system

Abstract

The present application relates to a kind of EGR system closed loop enabling optimization control method, comprising: determining whether EGR closed loop enabling minimum EGR rate condition is satisfied;If EGR closed loop enabling minimum EGR rate condition is satisfied, judge whether engine speed, intake temperature, engine water temperature, atmospheric temperature and atmospheric pressure satisfy preset condition, if satisfy preset condition, then EGR closed loop control is carried out;The preset condition of atmospheric temperature and atmospheric pressure is updated by the way of self-learning.The present application learns atmospheric temperature and atmospheric pressure in EGR enabling threshold by optimization, to improve the EGR rate control stability when EGR closed loop, to improve EGR closed loop control performance.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of engine control, more particularly, to an EGR system closed loop enabling optimization control method. BACKGROUND

[0002] Exhaust gas recirculation (EGR) takes exhaust gas from the exhaust system into the intake system. Studies have shown that EGR system has certain advantages in improving emissions, reducing fuel consumption and improving anti-knock ability. The control of the mixing valve in the low-pressure EGR system is particularly important for improving the effect of EGR rate. The existing EGR system closed loop enabling control condition parameters are fixed, which leads to poor EGR rate control stability. SUMMARY

[0003] The technical problem to be solved by the present application is to provide an EGR system closed loop enabling optimization control method, which can improve the EGR closed loop control performance.

[0004] The technical scheme adopted by the present application to solve the technical problem is: constructing an EGR system closed loop enabling optimization control method, comprising:

[0005] determining whether the EGR closed loop enabling minimum EGR rate condition is met;

[0006] if the EGR closed loop enabling minimum EGR rate condition is met, determining whether the engine speed, intake temperature, engine water temperature, atmospheric temperature and atmospheric pressure meet the preset condition, and if the preset condition is met, performing EGR closed loop control;

[0007] updating the preset condition of atmospheric temperature and atmospheric pressure by self-learning.

[0008] According to the above scheme, the method for determining whether the atmospheric temperature meets the preset condition comprises:

[0009] If the current state is EGR closed loop not enabled, enter the EGR closed loop state, and need to ensure that the minimum atmospheric temperature is not lower than the minimum atmospheric temperature, that is, the minimum atmospheric temperature enabling T AmbTempMinEnbl , T AmbTempMin Enbl =C1x(1+R AmbTempMin EnblLrn ), wherein C1 is the initial value, and R AmbTempMinEnblLrn is the minimum atmospheric temperature enabling learning coefficient;

[0010] If the current state is EGR closed loop enabling state, exit the EGR system closed loop enabling state, and need to ensure that the minimum atmospheric temperature is lower than the minimum atmospheric temperature, that is, the minimum atmospheric temperature enabling T AmbTempMinDsbl , T AmbTempMin Dsbl =C2x(1+R AmbTempMin DsblLrn ), wherein C2 is the initial value, and R AmbTempMinDsblLrn is the minimum atmospheric temperature enabling learning coefficient;

[0011] If the current state is EGR closed loop not enabled, enter the EGR closed loop state, need to ensure that the highest atmospheric temperature is not exceeded, that is, enable the highest atmospheric temperature T AmbTempMaxEnbl , T AmbTempMax Enbl =C3×(1+r AmbTempMax EnblLrn ), wherein C3 is an initial value, and r AmbTempMaxEnblLrn is an enable highest atmospheric temperature learning coefficient;

[0012] If the current state is EGR closed loop enabled state, exit the EGR system closed loop enabled state, need to ensure that the highest atmospheric temperature is exceeded, that is, exit the enable highest atmospheric temperature T AmbTempMaxDsbl , T AmbTempMax Dsbl =C4×(1+r AmbTempMax DsblLrn ), wherein C4 is an initial value, and r AmbTempMaxDsblLrn is an exit enable highest atmospheric temperature learning coefficient.

[0013] According to the above scheme, the method for judging whether the atmospheric pressure meets the preset condition comprises:

[0014] If the atmospheric pressure exceeds the preset enable minimum atmospheric pressure p AmbPreMinEnbl =D1×(1+r AmbPreMinEnblLrn ), the EGR closed loop enabled condition is allowed to be entered, D1 is an initial value, and r AmbPreMinEnblLrn is an enable minimum atmospheric pressure learning coefficient;

[0015] If the atmospheric temperature is lower than the preset exit enable minimum atmospheric pressure p AmbPreMinDsbl =D2×(1+r AmbPreMinDsblLrn ), the EGR closed loop enabled condition needs to be exited, D2 is an initial value, and r AmbPreMinDsblLrn is an exit enable minimum atmospheric pressure learning coefficient.

[0016] According to the above scheme, the method for updating the preset conditions of the atmospheric temperature and the atmospheric pressure through self-learning comprises:

[0017] If the difference between the atmospheric temperature and the enable minimum atmospheric temperature T AmbTempMinEnbl does not exceed a preset value within t0 time, and the difference between the atmospheric pressure and the preset enable minimum atmospheric pressure p AmbPreMinEnbl exceeds a preset value;

[0018] Read the average value T AmbTempAvg0 of the atmospheric temperature, the average value p AmbTempAvg0 of the atmospheric pressure, the average value r EGRDsrdAvg0 of the target EGR rate, the average value r EGRErrAvg0 of the difference between the target EGR rate and the actual EGR rate, and the initial value r EGRErrInitial0 of the difference between the target EGR rate and the actual EGR rate within t0 time.

[0019] updating the average value T of the atmospheric temperature in the learning operating mode AmbTempAvg0 updating the average value p of the atmospheric pressure AmbTempAvg0 updating the average value r of the target EGR rate EGRDsrdAvg0 the minimum atmospheric temperature learning coefficient and the exit minimum atmospheric temperature learning coefficient are enabled at the same time.

[0020] According to the above scheme, the method for updating the minimum atmospheric temperature learning coefficient r AmbTempMinEnblLrn and the exit minimum atmospheric temperature learning coefficient r AmbTempMinDsblLrn includes:

[0021] if |r EGRErrAvg0 |≥|r EGRErrInitial0 |≥0.03, then r AmbTempMinEnblLrn =r AmbTempMinEnblLrn (z)+0.05, where r AmbTempMinEnblLrn (z) is the learning value updated last time by self-learning;

[0022] if |r EGRErrAvg0 |≥|r EGRErrInitial0 |≥0.03, and the number of continuous satisfaction CNT0 exceeds a preset number, then r AmbTempMinEnblLrn =r AmbTempMinEnblLrn (z)+0.01, r AmbTempMinDsblLrn =r AmbTempMinDsblLrn (z)+0.1, and CNT0 is cleared, where r AmbTempMinDsblLrn (z) is the learning value updated last time by self-learning;

[0023] if |r EGRErrAvg0 |≥|r EGRErrInitial0 |≤0.01, then r AmbTempMinEnblLrn =r AmbTempMinEnblLrn (z)-0.01;

[0024] if |r EGRErrAvg0 |≤|r EGRErrInitial0 |≤0.01, and the number of continuous satisfaction CNT1 exceeds a preset number, then r AmbTempMinEnblLrn =r AmbTempMinEnblLrn (z)-0.005, r AmbTempMinDsblLrn =r AmbTempMinDsblLrn (z)-0.05, and CNT1 is cleared;

[0025] otherwise, r AmbTempMinEnblLrn and r AmbTempMinDsblLrn are not updated.

[0026] According to the above scheme, the method for updating the preset conditions of the atmospheric temperature and the atmospheric pressure by self-learning further includes:

[0027] If the difference between the highest atmospheric temperature T AmbTempMaxEnbl and the atmospheric temperature does not exceed a preset value, and the difference between the atmospheric pressure and the preset enabled minimum atmospheric pressure p AmbPreMinEnbl exceeds a preset value;

[0028] read the average value T AmbTempAvg1 of the atmospheric temperature, the average value p AmbTempAvg1 of the atmospheric pressure, the average value r EGRDsrdAvg1 of the target EGR rate, the average value r EGRErrAvg1 of the difference between the target EGR rate and the actual EGR rate, and the initial value r EGRErrInitial1 of the difference between the target EGR rate and the actual EGR rate within the t0 time;

[0029] update the average value T AmbTempAvg1 of the atmospheric temperature, the average value p AmbTempAvg1 of the atmospheric pressure, and the average value r EGRDsrdAvg1 of the target EGR rate at the same time as the enabled highest atmospheric temperature learning coefficient and the exit enabled highest atmospheric temperature learning coefficient.

[0030] According to the above scheme, the method for updating the enabled highest atmospheric temperature learning coefficient r AmbTempMaxEnblLrn and the exit enabled highest atmospheric temperature learning coefficient r AmbTempMaxDsblLrn includes:

[0031] If |r EGRErrAvg1 |≥|r EGRErrInitial1 |≥0.03, then r AmbTempMaxEnblLrn =r AmbTempMaxEnblLrn (z)+0.03, where r AmbTempMaxEnblLrn (z) is the learning value updated by self-learning last time;

[0032] If |r EGRErrAvg1 |≥|r EGRErrInitial1 |≥0.03, and the number of continuous satisfaction CNT2 exceeds a preset number, then r AmbTempMaxEnblLrn =r AmbTempMaxEnblLrn (z)+0.005, r AmbTempMaxDsblLrn =r AmbTempMaxDsblLrn (z)+0.08, where r AmbTempMaxDsblLrn (z) is the learning value updated by self-learning last time;

[0033] If |r EGRErrAvg1 |≥|r EGRErrInitial1 |≤0.01, then r AmbTempMaxEnblLrn =r AmbTempMaxEnblLrn (z)-0.005;

[0034] If |r EGRErrAvg1 |≤|r EGRErrInitial1|≤0.01, and the number of continuous satisfaction CNT3 exceeds a preset number, then r AmbTempMaxEnblLrn = r AmbTempMaxEnblLrn (z)-0.003, r AmbTempMaxDsblLrn = r AmbTempMaxDsblLrn (z)-0.03;

[0035] In other cases, r AmbTempMaxEnblLrn and r AmbTempMaxDsblLrn are not updated.

[0036] According to the above scheme, the method for updating the preset conditions of the atmospheric temperature and the atmospheric pressure by the self-learning manner further comprises:

[0037] If the difference between the atmospheric temperature and the maximum enabled atmospheric temperature T AmbTempMaxEnbl exceeds a preset value, and the difference between the atmospheric temperature and the minimum enabled atmospheric temperature T AmbTempMinEnbl exceeds a preset value, and the difference between the atmospheric pressure and the preset minimum enabled atmospheric pressure p AmbPreMinEnbl does not exceed a preset value, within t0 time, then the method further comprises:

[0038] reading the average value T AmbTempAvg2 of the atmospheric temperature, the average value p AmbTempAvg2 of the atmospheric pressure, the average value r EGRDsrdAvg2 of the target EGR rate, the average value r EGRErrAvg2 of the difference between the target EGR rate and the actual EGR rate, and the initial value r EGRErrInitial2 of the difference between the target EGR rate and the actual EGR rate within t0 time;

[0039] updating the minimum enabled atmospheric pressure learning coefficient and the exit minimum enabled atmospheric pressure learning coefficient at the same time as the average value T AmbTempAvg2 of the atmospheric temperature, the average value p AmbTempAvg2 of the atmospheric pressure, the average value r EGRDsrdAvg2 of the target EGR rate, the average value r EGRErrAvg2 of the difference between the target EGR rate and the actual EGR rate.

[0040] According to the above scheme, the method for updating the minimum enabled atmospheric pressure learning coefficient r AmbPreMinEnblLrn and the exit minimum enabled atmospheric pressure learning coefficient r AmbPreMinDsblLrn comprises:

[0041] if |r EGRErrAvg2 |≥|r EGRErrInitial2 |≥0.03, then r AmbPreMinEnblLrn = r AmbPreMinEnblLrn (z)+0.02, wherein r A mb Pr e M in E nbl Lrn(z) is the learning value of the last self-learning update;

[0042] if |r EGRErrAvg2 |≥|r EGRErrInitial2 |≥0.03, and the number of consecutive times CNT4 exceeds a preset number, then r A mb Pr e M in E nbl L rn=r A mb Pr e M in E nbl L rn(z)+0.004, r A mb Pr e M in D sbl L rn=r A mb Pr e M in D sbl L rn(z)+0.06, wherein r A mb Pr e M in D sbl L rn(z) is the learning value of the last self-learning update;

[0043] if |r EGRErrAvg2 |≤|r EGRErrInitial2 |≤0.01, then r AmbPreMinEnblLrn =r AmbPreMinEnblLrn (z)-0.004;

[0044] if |r EGRErrAvg2 |≤|r EGRErrInitial2 |≤0.01, and the number of consecutive times CNT5 exceeds a preset number, then r A mb Pr e M in E nbl L rn=r A mb Pr e M in E nbl L rn(z)-0.002, r A mb Pr e M in D sbl L rn=r A mb Pr e M inD sbl L rn(z)-0.02;

[0045] Other cases, r AmbPreMinEnblLrn And r AmbPreMinDsblLrn Not update.

[0046] The application also provides an EGR system closed loop enabled optimization control device, comprising:

[0047] A first judging module is configured to determine whether an EGR closed loop enabled minimum EGR rate condition is met;

[0048] A second judging module is configured to determine whether an engine speed, an intake air temperature, an engine water temperature, an atmospheric temperature and an atmospheric pressure meet preset conditions, and perform EGR closed loop control if the preset conditions are met;

[0049] A self-learning module is configured to update the preset conditions of the atmospheric temperature and the atmospheric pressure in a self-learning manner.

[0050] The application also provides an electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; the memory stores a computer program, and when the program is executed by the processor, the processor executes the steps of the EGR system closed loop enabled optimization control method.

[0051] The application also provides a computer readable storage medium, which stores executable instructions, and the instructions make the processor implement the EGR system closed loop enabled optimization control method when executed by the processor.

[0052] The application also provides an automobile provided with the EGR system closed loop enabled optimization control device.

[0053] The EGR system closed loop enabled optimization control method has the following beneficial effects:

[0054] The application optimizes the atmospheric temperature and the atmospheric pressure at the EGR enabled threshold value through learning, thereby improving the EGR rate control stability during EGR closed loop and improving the EGR closed loop control performance. BRIEF DESCRIPTION OF DRAWINGS

[0055] The application will be further described below in combination with the drawings and examples, and the drawings show:

[0056] Figure 1 is a system structure schematic diagram with EGR;

[0057] Figure 2This is a flowchart of the optimized control method for closed-loop enabling of the EGR system according to the present invention;

[0058] Figure 3 This is a logic block diagram of the optimized control method for closed-loop enabling of the EGR system according to the present invention.

[0059] In the diagram: 1. Air filter; 2. Mixing valve; 3. Compressor; 4. Throttle valve; 5. Engine; 6. Turbine; 7. Catalyst; 8. Particulate filter; 9. EGR cooler; 10. EGR valve; 11. Temperature sensor; 12. Differential pressure sensor. Detailed Implementation

[0060] To provide a clearer understanding of the technical features, objectives, and effects of the present invention, specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0061] like Figure 1 As shown, the present invention relates to a system structure with EGR, comprising: an air filter 1 and a mixing valve 2 connected to the air filter. The mixing valve 2 is used to regulate the pressure at the outlet of the EGR valve 10, increasing the pressure difference across the EGR valve 10. Two airflow passages extend from the mixing valve 2. A compressor 3, a throttle valve 4 connected to the compressor 3, and an engine 5 connected to the throttle valve 4 are connected to one of the airflow passages of the mixing valve 2, for compressing fresh air for boosting. A turbine 6 connected to the engine 5 is used to control the opening of the exhaust bypass valve. A catalytic converter 7 is connected to the turbine 6, and a particulate filter 8 is connected to the catalytic converter 7. An EGR cooler 9 installed on the other airflow passage of the mixing valve 2 is used to receive and cool the exhaust gas output from the particulate filter 8, increasing the exhaust gas flow rate. An EGR valve 10, connected at one end to the EGR cooler 9 and at the other end to the mixing valve 2, is used to control the exhaust gas flow rate entering the cylinder. A temperature sensor 11 installed between the EGR valve 10 and the EGR cooler 9 is used to detect the temperature of the exhaust gas entering the EGR valve 10. The differential pressure sensor 12 is connected to the EGR valve 10 and is used to detect the pressure at the inlet and outlet of the EGR valve 10.

[0062] Example 1

[0063] like Figures 2-3 As shown, this invention provides an optimized control method for closed-loop enabling of an EGR system, comprising the following steps:

[0064] S1. Determine whether the minimum EGR rate condition for EGR closed-loop enable is met.

[0065] When the difference between the target EGR rate and the minimum EGR rate is greater than a preset value A (0.02 in this example), the minimum EGR rate condition for enabling EGR closed-loop is met. The minimum EGR rate can be found in Chinese patent CN115585070A, "Method, Apparatus, Device and Storage Medium for Adjusting Minimum EGR Rate".

[0066] When the difference between the target EGR rate and the minimum EGR rate is not greater than a preset value B, which is 0.01 in this example, and the absolute value of the difference between the target EGR rate and the actual EGR rate is not greater than a preset value, which is 0.1 in this example, the EGR closed-loop minimum EGR rate condition is not met;

[0067] In other cases, the EGR closed-loop minimum EGR rate condition is maintained in the previous state. The vehicle is powered on by default, and the default state is that the EGR closed-loop minimum EGR rate condition is not met.

[0068] S2, if the EGR closed-loop minimum EGR rate condition is met, determine whether the engine speed, intake temperature, engine water temperature, atmospheric temperature and atmospheric pressure meet the preset conditions, and if the preset conditions are met, perform EGR closed-loop control. The EGR closed-loop enabling condition is determined as follows:

[0069] (1) No EGR system part related fault occurs;

[0070] (2) No fuel cut request occurs and the fuel cut recovery time exceeds a preset time, which is 0.3s in this example;

[0071] (3) The EGR closed-loop minimum EGR rate condition is met;

[0072] (4) The engine speed is within a preset speed range, which is 750rpm-5500rpm in this example;

[0073] (5) The intake temperature is within a preset range. If the current state is EGR closed-loop not enabled, enter the EGR closed-loop state, which needs to ensure that the minimum intake temperature is not less than 10℃, if the current state is EGR closed-loop enabled, exit the EGR system closed-loop enabled state, which needs to ensure that the minimum intake temperature is less than 7℃; If the current state is EGR closed-loop not enabled, enter the EGR closed-loop state, which needs to ensure that the maximum intake temperature is not more than 60℃; If the current state is EGR closed-loop enabled, exit the EGR system closed-loop enabled state, which needs to ensure that the maximum intake temperature is more than 65℃;

[0074] (6) The engine water temperature is within a preset range. If the current state is EGR closed-loop not enabled, enter the EGR closed-loop state, which needs to ensure that the minimum water temperature is not less than 60℃, if the current state is EGR closed-loop enabled, exit the EGR system closed-loop enabled state, which needs to ensure that the minimum water temperature is less than 55℃; If the current state is EGR closed-loop not enabled, enter the EGR closed-loop state, which needs to ensure that the maximum water temperature is not more than 115℃; If the current state is EGR closed-loop enabled, exit the EGR system closed-loop enabled state, which needs to ensure that the maximum water temperature is more than 120℃;

[0075] (7) The atmospheric temperature is within a preset range. If the current state is EGR closed loop not enabled, enter the EGR closed loop state, and it is required to ensure that the minimum atmospheric temperature is not lower than the minimum atmospheric temperature, i.e., enable the minimum atmospheric temperature T AmbTempMinEnbl , T AmbTempMin Enbl =C1x(1+ r AmbTempMin EnblLrn ), where C1 is 5°C in this example, and r AmbTempMinEnblLrn is a learning coefficient for enabling the minimum atmospheric temperature, which has a default value of 0, can be continuously learned, and can be saved after the vehicle is powered off; if the current state is the EGR closed loop enabled state, exit the EGR system closed loop enabled state, and it is required to ensure that the minimum atmospheric temperature is lower than the minimum atmospheric temperature, i.e., exit the enabled minimum atmospheric temperature T AmbTempMinDsbl , T AmbTempMin Dsbl =C2x(1+ r AmbTempMin DsblLrn ), where C2 is 3°C in this example, and r AmbTempMinDsblLrn is a learning coefficient for exiting the enabled minimum atmospheric temperature, which has a default value of 0, can be continuously learned, and can be saved after the vehicle is powered off; if the current state is the EGR closed loop not enabled, enter the EGR closed loop state, and it is required to ensure that the maximum atmospheric temperature is not exceeded, i.e., enable the maximum atmospheric temperature T AmbTempMaxEnbl , T AmbTempMax Enbl =C3x(1+ r AmbTempMax EnblLrn ), where C3 is 55°C in this example, and r AmbTempMaxEnblLrn is a learning coefficient for enabling the maximum atmospheric temperature, which has a default value of 0, can be continuously learned, and can be saved after the vehicle is powered off; if the current state is the EGR closed loop enabled state, exit the EGR system closed loop enabled state, and it is required to ensure that the maximum atmospheric temperature is exceeded, i.e., exit the enabled maximum atmospheric temperature T AmbTempMaxDsbl , TAmbTempMaxDsbl＝C4× ( 1+rAmbTempMaxDsblLrn ), where C4 is 60°C in this example, and r AmbTempMaxDsblLrn is a learning coefficient for exiting the enabled maximum atmospheric temperature, which has a default value of 0, can be continuously learned, and can be saved after the vehicle is powered off;

[0076] (8) The atmospheric pressure exceeds the preset enabled minimum atmospheric pressure p AmbPreMinEnbl , p AmbPreMinEnbl =D1x(1+ r AmbPreMinEnblLrn ), which allows the EGR closed loop enabled condition to be entered, D1 is 66 kPa in this example, and r AmbPreMinEnblLrn is a learning coefficient for enabling the minimum atmospheric pressure, which has a default value of 0, can be continuously learned, and can be saved after the vehicle is powered off; the atmospheric temperature is lower than the preset exit enabled minimum atmospheric pressure p AmbPreMinDsbl , p AmbPreMinDsbl =D2x(1+ r AmbPreMinDsblLrn ), which requires the EGR closed loop enabled condition to be exited, D2 is 64 kPa in this example, and r AmbPreMinDsblLrnThe default value of the exit-enabled minimum atmospheric pressure learning coefficient is 0, which can be continuously learned and saved after the vehicle is powered off.

[0077] The EGR closed-loop enablement is allowed only when the above conditions (1)-(8) are met. If the EGR closed-loop is not enabled, the EGR actuator does not work.

[0078] S3, update the preset conditions of atmospheric temperature and atmospheric pressure by self-learning. The self-learning acquisition method of the exit-enabled minimum atmospheric temperature learning coefficient r AmbTempMinEnblLrn , the exit-enabled minimum atmospheric temperature learning coefficient r AmbTempMinDsblLrn , the enabled maximum atmospheric temperature learning coefficient r AmbTempMaxEnblLrn , the exit-enabled maximum atmospheric temperature learning coefficient r AmbTempMaxDsblLrn , the enabled minimum atmospheric pressure learning coefficient r AmbPreMinEnblLrn , the exit-enabled minimum atmospheric pressure learning coefficient r AmbPreMinDsblLrn , the default value of which is 0, which can be continuously self-learned and updated, and can be saved after the vehicle is powered off.

[0079] Firstly, the following conditions need to be met:

[0080] (1) the EGR system is in a closed-loop enabled state;

[0081] (2) the difference between the target EGR rate and the minimum EGR rate of the EGR system in the closed-loop state exceeds the preset value E (E is 0.05 in this example) to ensure that the EGR rate is large enough to avoid the accuracy of learning due to the small EGR rate;

[0082] (3) the engine speed fluctuation is ±15 rpm;

[0083] (4) the intake density fluctuation into the cylinder is ±25 mg

[0084] (5) the target boost pressure fluctuation is ±2 kPa;

[0085] (6) the difference between the target boost pressure and the actual boost pressure is within ±2 kPa;

[0086] (7) the mixing valve opening degree fluctuation range is within ±1%;

[0087] (8) the target EGR rate fluctuation is within the preset range, which is ±0.01 in this example;

[0088] (9) the EGR valve inlet temperature fluctuation range is within ±5℃.

[0089] (10) the atmospheric temperature fluctuation range is within ±1℃;

[0090] (11) the atmospheric pressure fluctuation range is within ±0.5 kPa;

[0091] When all the above conditions are met for more than a preset time t0, which is 1s in this embodiment, the following four cases are considered.

[0092] In the first mode, if the following conditions (1) and (2) are met within t0:

[0093] (1) the difference between the atmospheric temperature and the minimum atmospheric temperature T AmbTempMinEnbl enabling is not more than a preset value, which is 1℃ in this embodiment;

[0094] (2) the difference between the atmospheric pressure and the minimum atmospheric pressure p AmbPreMinEnbl enabling is more than a preset value, which is 4kPa in this embodiment.

[0095] The average values of the atmospheric temperature T AmbTempAvg0 , the atmospheric pressure p AmbTempAvg0 , the target EGR rate r EGRDsrdAvg0 , the difference between the target EGR rate and the actual EGR rate r EGRErrAvg0 , and the initial value of the difference between the target EGR rate and the actual EGR rate r EGRErrInitial0 within t0 are read. The initial value refers to the difference between the target EGR rate and the actual EGR rate when the first case just enables.

[0096] The update only updates the learning coefficients when the average values of the atmospheric temperature T AmbTempAvg0 , the atmospheric pressure p AmbTempAvg0 , and the target EGR rate r EGRDsrdAvg0 are the same, and other conditions are not updated.

[0097] If the following conditions are met:

[0098] A, | r EGRErrAvg0| ≥ |r EGRErrInitial0 | ≥ 0.03, that is, the EGR rate deviation is increasing, indicating that the EGR closed-loop enabling condition needs to be more stringent, and the minimum atmospheric temperature enabling needs to be appropriately increased. AmbTempMinEnblLrn r AmbTempMinEnblLrn (z) + 0.05, where r AmbTempMinEnblLrn (z) is the learning value updated by the last self-learning.

[0099] B, |r EGRErrAvg0 | ≥ |r EGRErrInitial0 | ≥ 0.03, and the number of consecutive satisfied conditions CNT0 exceeds a preset number, which is 5 in this embodiment, that is, the EGR rate control accuracy, i.e., the EGR rate deviation, is always increasing, indicating that the EGR closed-loop enabling condition needs to be more stringent, and the minimum atmospheric temperature enabling needs to be appropriately increased. AmbTempMinEnblLrn r AmbTempMinEnblLrn (z) + 0.01, rAmbTempMinDsblLrn = r AmbTempMinDsblLrn (z) + 0.1, and CNT0 is cleared, where r AmbTempMinDsblLrn (z) is the last self-learning updated learning value. CNT0 has a default value of 0, can be constantly updated, and can be saved after the vehicle is powered off. Continuous satisfaction means that if this time is not the B case in the first case, but other cases are satisfied, CNT0 is also not accumulated. CNT0 is updated at most once each time the B condition in this mode is satisfied.

[0100] C, |r EGRErrAvg0 |≤|r EGRErrInitial0 |≤0.01, that is, the EGR rate deviation is very small, indicating that the EGR closed loop enable condition at this time can be appropriately less strict, and then the enable minimum atmospheric temperature can be appropriately reduced. r AmbTempMinEnblLrn = r AmbTempMinEnblLrn (z) - 0.01.

[0101] D, |r EGRErrAvg0 |≤|r EGRErrInitial0 |≤0.01, and the number of continuous satisfaction times CNT1 exceeds the preset number of times, which is 5 in this example, that is, the EGR rate deviation is always very small, indicating that the EGR closed loop enable condition at this time can be widened, and then the enable minimum atmospheric temperature needs to be further reduced. r AmbTempMinEnblLrn = r AmbTempMinEnblLrn (z) - 0.005, r AmbTempMinDsblLrn = r AmbTempMinDsblLrn (z) - 0.05, and CNT1 is cleared; CNT1 has a default value of 1, can be constantly updated, and can be saved after the vehicle is powered off. Continuous satisfaction means that if this time is not the D case in the first case, but other cases are satisfied, CNT1 is also not accumulated. CNT1 is updated at most once each time the D condition in this case is satisfied.

[0102] E, in other cases, r AmbTempMinEnblLrn , r AmbTempMinDsblLrn are not updated.

[0103] The second mode, if the following (1) and (2) are all satisfied within t0 time:

[0104] (1) the enable maximum atmospheric temperature T AmbTempMaxEnbl does not exceed the preset value, which is 1°C in this example, from the atmospheric temperature;

[0105] (2) the difference between the atmospheric pressure and the preset enable minimum atmospheric pressure p AmbPreMinEnbl exceeds the preset value, which is 4 kPa in this example.

[0106] The average value T AmbTempAvg1 of the atmospheric temperature and the average value pAmbTempAvg1 target EGR rate average value r EGRDsrdAvg1 average value r of difference between target EGR rate and actual EGR rate EGRErrAvg1 and initial value r of difference between target EGR rate and actual EGR rate EGRErrInitial1 The initial value refers to the difference between the target EGR rate and the actual EGR rate when the second mode is just met.

[0107] The update only updates the learning condition, i.e. the average value T of atmospheric temperature AmbTempAvg1 average value p of atmospheric pressure AmbTempAvg1 target EGR rate average value r EGRDsrdAvg1 The same learning coefficient, other conditions are not updated.

[0108] If the following occurs:

[0109] A, |r EGRErrAvg1 |≥|r EGRErrInitial1 |≥0.03, i.e. the EGR rate control accuracy (EGR rate deviation) is always increasing, indicating that the EGR closed loop enable condition needs to be more stringent at this time, so the maximum atmospheric temperature for enabling needs to be appropriately increased. AmbTempMaxEnblLrn =r AmbTempMaxEnblLrn (z)+0.03, the update rate of this kind is lower than that of the first mode A case, the reason is that the engine is prone to knock at high atmospheric temperature, at this time, EGR enable can be allowed more easily, thereby inhibiting the tendency of knock. AmbTempMaxEnblLrn (z) is the last learning value.

[0110] B, |r EGRErrAvg1 |≥|r EGRErrInitial1 |≥0.03, and the number of continuous satisfaction CNT2 exceeds the preset number (5 in this example), i.e. the EGR rate control accuracy is always increasing, indicating that the EGR closed loop enable condition needs to be more stringent at this time, so the maximum atmospheric temperature for enabling needs to be further increased, and CNT2 is cleared. The default value of CNT2 is 0, which can be continuously updated and can be saved after the vehicle is powered off. The meaning of continuous satisfaction is that if it is not the B case of the second mode at this time, but other cases are met, CNT2 is also not accumulated. CNT2 is updated at most once each time the B condition of this mode is met.

[0111] r AmbTempMaxEnblLrn =r AmbTempMaxEnblLrn (z)+0.005, the update rate of this kind is lower than that of the first mode B case, the reason is that the engine is prone to knock at high atmospheric temperature, at this time, EGR enable can be allowed more easily, thereby inhibiting the tendency of knock.

[0112] r AmbTempMaxDsblLrn =r AmbTempMaxDsblLrn(z) + 0.08. The reason why the updating rate is lower than that in the first mode B is that the engine is prone to knock when the atmospheric temperature is high, and thus the EGR enablement can be easily allowed to suppress the tendency of knock. AmbTempMaxDsblLrn (z) is the last learning value.

[0113] C, |r EGRErrAvg1 |≤|r EGRErrInitial1 |≤0.01, which means that the EGR rate control deviation is small, indicating that the EGR closed-loop enablement condition can be widened at this time, and thus the enablement maximum atmospheric temperature can be appropriately lowered. AmbTempMaxEnblLrn =r AmbTempMaxEnblLrn (z) - 0.005. The reason why the updating rate is lower than that in the first mode C is that the engine is prone to knock when the atmospheric temperature is high, and thus the EGR enablement can be easily allowed to suppress the tendency of knock.

[0114] D, |r EGRErrAvg1 |≤|r EGRErrInitial1 |≤0.01, and the number of continuous satisfaction CNT3 exceeds the preset number, which is 5 in this example, which means that the EGR rate deviation is always small, indicating that the EGR closed-loop enablement condition can be further widened at this time, and thus the enablement maximum atmospheric temperature can be appropriately lowered. AmbTempMaxEnblLrn =r AmbTempMaxEnblLrn (z) - 0.003, r AmbTempMaxDsblLrn =r AmbTempMaxDsblLrn (z) - 0.03, and CNT3 is cleared; the default value of CNT3 is 1, which can be continuously updated and can be saved after the vehicle is powered off. The continuous satisfaction means that if the D case in the second mode is not satisfied at this time, but other cases are satisfied, CNT3 is also not accumulated. CNT3 is updated at most once each time the B condition in this mode is satisfied.

[0115] E, in other cases, r AmbTempMaxEnblLrn , r AmbTempMaxDsblLrn are not updated.

[0116] The third mode, if the following (1) and (2) are all satisfied within t0 time:

[0117] (1) the enablement maximum atmospheric temperature T AmbTempMaxEnbl differs from the atmospheric temperature by no more than a preset value, which is 2°C in this example;

[0118] (2) the atmospheric temperature differs from the enablement minimum atmospheric temperature T AmbTempMinEnbl by more than a preset value, which is 2°C in this example;

[0119] (3) the atmospheric pressure differs from the preset enablement minimum atmospheric pressure p AmbPreMinEnbl by no more than a preset value, which is 2 kPa in this example.

[0120] read the average value T of atmospheric temperature in t0 time AmbTempAvg2 , the average value p of atmospheric pressure AmbTempAvg2 , the average value r of target EGR rate EGRDsrdAvg2 , the average value r of difference between target EGR rate and actual EGR rate EGRErrAvg2 , and the initial value r of difference between target EGR rate and actual EGR rate EGRErrInitial2 The initial value refers to the difference between target EGR rate and actual EGR rate when the third mode just meets.

[0121] The update only updates the learning coefficient of the same learning condition, i.e. the average value T of atmospheric temperature AmbTempAvg2 , the average value p of atmospheric pressure AmbTempAvg2 , the average value r of target EGR rate EGRDsrdAvg2 , the average value r of difference between target EGR rate and actual EGR rate EGRErrAvg2 The other conditions are not updated. The reason why the update rate of this kind is lower than that of the second mode is that the influence of atmospheric pressure on EGR system is relatively small.

[0122] If the following conditions occur:

[0123] A, |r EGRErrAvg2 |≥|r EGRErrInitial2 |≥0.03, i.e. the EGR rate control accuracy is always increasing, which indicates that the EGR closed loop enabling condition needs to be more stringent at this time, and the minimum atmospheric pressure for enabling needs to be appropriately increased. A mb Pr e M in E nbl L rn=r A mb Pr e M in E nbl L rn(z)+0.02, r A mb Pr e M in E nbl L rn(z) is the last learning value.

[0124] B, |r EGRErrAvg2 |≥|r EGRErrInitial2|≥0.03, and the number of continuous satisfaction CNT4 exceeds a preset number (5 in this example), that is, the EGR rate control accuracy is always increasing, indicating that the EGR closed loop enabling condition needs to be more stringent at this time, and then the minimum atmospheric pressure enabling needs to be appropriately increased. The default value of CNT4 is 0, which can be continuously updated and can be saved after the vehicle is powered off. The meaning of continuous satisfaction is that if the B case in this third mode is not satisfied at this time, but other cases are satisfied, CNT4 will not be accumulated either. CNT4 is updated at most once each time the B condition in this mode is satisfied.

[0125] r A mb Pr e M in E nbl L rn=r A mb Pr e M in E nbl L rn(z)+0.004,r A mb Pr e M in D sbl L rn=r A mb Pr e M in D sbl L rn(z)+0.06,

[0126] r A mb Pr e M in D sbl L rn(z) is the last learning value, and CNT4 is cleared.

[0127] C、|r EGRErrAvg2 |≤|r EGRErrInitial2 |≤0.01, that is, the EGR rate deviation is small, indicating that the EGR closed loop enabling condition can be widened at this time, and then the minimum atmospheric temperature enabling can be appropriately reduced. A mb Pr e M in E nbl L rn=r A mb Pr e M in E nbl L rn(z)-0.004.

[0128] D、|r EGRErrAvg2 |≤|r EGRErrInitial2|≤0.01, and the number of continuous satisfaction CNT5 exceeds a preset number, which is 5 in this example, that is, the EGR rate deviation is always small, indicating that the EGR closed-loop enabling condition can be further widened at this time, and the minimum atmospheric pressure is further reduced. A mb Pr e M in E nbl L rn=r A mb Pr e M in E nbl L rn(z)-0.002, r A mb Pr e M in D sbl L rn=r A mb Pr e M in D sbl L rn(z)-0.02, and CNT5 is cleared; the default value of CNT5 is 1, which can be updated continuously and can be saved after the vehicle is powered off. The continuous satisfaction means that if the D case in this third mode is not satisfied at this time, but other cases are satisfied, CNT5 will not be accumulated either. CNT5 is updated at most once every time the B condition in this mode is satisfied.

[0129] E, in other cases, r AmbPreMinEnblLrn , r AmbPreMinDsblLrn are not updated.

[0130] In the fourth case, that is, in other cases, no learning coefficient is updated.

[0131] Embodiment Two

[0132] The application also provides an embodiment two EGR system closed-loop enabling optimization control device, comprising:

[0133] A first judgment module is configured to determine whether the EGR closed-loop enabling minimum EGR rate condition is met.

[0134] A second judgment module is configured to determine whether the engine speed, intake temperature, engine water temperature, atmospheric temperature and atmospheric pressure meet the preset conditions, and if the preset conditions are met, the EGR closed-loop control is performed.

[0135] A self-learning module is configured to update the preset conditions of the atmospheric temperature and atmospheric pressure in a self-learning manner.

[0136] Embodiment Three

[0137] The application further provides an automobile comprising the EGR system closed-loop enabled optimization control device of embodiment two.

[0138] Embodiment four

[0139] The application further provides an electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus; the memory stores a computer program, and when the program is executed by the processor, the processor executes the steps of the EGR system closed-loop enabled optimization control method of embodiment two.

[0140] Embodiment five

[0141] The application further provides a computer readable storage medium, which stores executable instructions, and the instructions make the processor realize the EGR system closed-loop enabled optimization control method of embodiment two when executed by the processor.

[0142] Those skilled in the art should understand that the embodiments of the application can be provided as a method, a system or a computer program product. Therefore, the application can adopt a completely hardware embodiment, a completely software embodiment or an embodiment combining software and hardware aspects. Moreover, the application can adopt a computer program product in the form of one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program codes.

[0143] The application is described with reference to flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams and the combination of the flows and / or blocks can be implemented by computer program instructions. These computer program instructions can be provided to a general purpose computer, a special purpose computer, an embedded processor or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in one or more flows and / or blocks Figure 1 The devices that implement the functions specified in one or more flows and / or blocks.

[0144] These computer program instructions can also be stored in a computer readable memory to guide the computer or other programmable data processing devices to work in a specific way, so that the instructions stored in the computer readable memory produce a product including instruction devices that implement the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in one or more flows and / or blocks Figure 1 The devices that implement the functions specified in one or more flows and / or blocks.

[0145] These computer program instructions can also be loaded into a computer or other programmable data processing devices, so that a series of operational steps are generated to realize the computer-implemented processes in the computer or other programmable devices, and the instructions executed in the computer or other programmable devices provide processes for implementing the functions specified in the flowchart Figure 1 one flow or multiple flows and / or the functions specified in one block or multiple blocks in the flowchart. Figure 1 one flow or multiple flows and / or the functions specified in one block or multiple blocks in the flowchart.

[0146] The embodiments of the present application are described above with reference to the accompanying drawings, but the present application is not limited to the specific embodiments described above, and the specific embodiments described above are merely illustrative, rather than limiting, and a person of ordinary skill in the art can make many forms under the inspiration of the present application without departing from the purpose of the present application and the scope protected by the claims, which are all within the protection of the present application.

Claims

1. An EGR system closed loop enabled optimal control method, characterized in that, The method comprises: determining whether an EGR closed-loop enabling minimum EGR rate condition is met; if the EGR closed-loop enabling minimum EGR rate condition is met, judging whether engine speed, intake air temperature, engine water temperature, atmospheric temperature and atmospheric pressure meet preset conditions, and if the preset conditions are met, performing EGR closed-loop control; updating the preset conditions of the atmospheric temperature and the atmospheric pressure in a self-learning manner; the method for judging whether the atmospheric temperature meets the preset conditions comprises: If the current state is EGR closed loop not enabled, enter the EGR closed loop state, need to ensure that no less than the minimum atmospheric temperature, that is, enable minimum atmospheric temperature , wherein C1 is an initial value, is the enable minimum atmospheric temperature learning coefficient; If the current state is the EGR closed loop enable state, exiting the EGR system closed loop enable state requires ensuring below the minimum atmospheric temperature, i.e., exit enable minimum atmospheric temperature , where C2 is an initial value, is an exit enable minimum atmospheric temperature learning coefficient; or, if the current state is the EGR closed loop enable state, exiting the EGR system closed loop enable state requires ensuring above the maximum atmospheric temperature, i.e., exit enable maximum atmospheric temperature , where C4 is an initial value, is an exit enable maximum atmospheric temperature learning coefficient; If the current state is EGR closed loop not enabled, enter the EGR closed loop state, need to ensure that the maximum atmospheric temperature is not exceeded, that is enabling the highest atmospheric temperature , where C3 is the initial value, is enabled maximum atmospheric temperature learning coefficient.

2. The EGR system closed-loop enabled optimal control method of claim 1, wherein, the method for judging whether the atmospheric pressure meets the preset conditions comprises: The atmospheric pressure exceeds a preset enabling minimum atmospheric pressure Then, the EGR closed loop enabling condition is allowed to enter, D1 is an initial value, is an enabling minimum atmospheric pressure learning coefficient; Atmospheric temperature is lower than preset exit enable minimum atmospheric pressure D2 is an initial value, and is an exit enable minimum atmospheric pressure learning coefficient.

3. The EGR system closed-loop enabled optimal control method of claim 2, wherein, the method for updating the preset conditions of the atmospheric temperature and the atmospheric pressure in a self-learning manner comprises: If the difference between the atmospheric temperature and the enabling minimum atmospheric temperature is not more than a preset value, and the difference between the atmospheric pressure and the preset enabling minimum atmospheric pressure is more than a preset value within t0 time ​​ average value of atmospheric temperature in t0 time average value of atmospheric pressure average value of target EGR rate average value of difference between target EGR rate and actual EGR rate initial value of difference between target EGR rate and actual EGR rate ​ Update and learn ambient temperature average Ambient pressure average Target EGR rate average The same enable minimum ambient temperature learning coefficient and exit enable minimum ambient temperature learning coefficient.

4. The EGR system closed-loop enabled optimal control method of claim 3, wherein, Updating an enable minimum atmospheric temperature learning coefficient and exiting an enable minimum atmospheric temperature learning coefficient The method includes: If then where is the last self-learning update of the learning value; If , and the number of consecutive times CNT0 exceeds a preset number, then , , and CNT0 is cleared, wherein is the learning value of the last self-learning update. If then ; If , and the number of consecutive times CNT1 exceeds a preset number, then , , and CNT1 is cleared. In other cases, and is not updated.

5. The EGR system closed-loop enabled optimal control method of claim 2, wherein, the method for updating the preset conditions of the atmospheric temperature and the atmospheric pressure in a self-learning manner further comprises: If the difference between the highest atmospheric temperature and the atmospheric temperature does not exceed a preset value, and the difference between the atmospheric pressure and the preset enabling minimum atmospheric pressure exceeds a preset value within t0 time If the difference between the highest atmospheric temperature and the atmospheric temperature does not exceed a preset value, and the difference between the atmospheric pressure and the preset enabling minimum atmospheric pressure exceeds a preset value within t0 time​ average value of atmospheric temperature in t0 time average value of atmospheric pressure average value of target EGR rate average value of difference between target EGR rate and actual EGR rate and initial value of difference between target EGR rate and actual EGR rate ; Update and learn ambient temperature average Ambient pressure average Target EGR rate average The same enable maximum ambient temperature learning coefficient and exit enable maximum ambient temperature learning coefficient.

6. The EGR system closed-loop enabled optimal control method of claim 5, wherein, Updating an enable maximum atmospheric temperature learning coefficient and exiting an enable maximum atmospheric temperature learning coefficient The method includes: If then where is the last self-learning update of the learning value; If , and the number of consecutive times CNT2 exceeds a preset number, then , wherein is the learning value of the last self-learning update. If then ; If , and the number of times CNT3 that the condition is continuously satisfied exceeds a preset number, then , ; In other cases, and is not updated.

7. The EGR system closed-loop enabled optimal control method of claim 2, wherein, the method for updating the preset conditions of the atmospheric temperature and the atmospheric pressure in a self-learning manner further comprises: If the maximum atmospheric temperature is enabled within time t0 The temperature difference with the ambient temperature exceeds a preset value, and the ambient temperature is also greater than the minimum atmospheric temperature required for activation. The difference exceeds the preset value, and the atmospheric pressure is different from the preset minimum atmospheric pressure for enabling. The difference should not exceed the preset value; average value of atmospheric temperature in t0 time average value of atmospheric pressure average value of target EGR rate average value of difference between target EGR rate and actual EGR rate and initial value of difference between target EGR rate and actual EGR rate ; updated average value of the engine operating condition air temperature updated average value of the atmospheric pressure updated average value of the target EGR rate updated average value of the difference between the target EGR rate and the actual EGR rate the same enable minimum atmospheric pressure learning coefficient and the exit enable minimum atmospheric pressure learning coefficient.

8. The EGR system closed-loop enabled optimal control method of claim 7, wherein, Updating an enable minimum atmospheric pressure learning coefficient and an exit enable minimum atmospheric pressure learning coefficient The method includes: If then where is the last self-learning update of the learning value; If , and the number of consecutive times CNT4 exceeds a preset number, then , wherein is the learning value of the last self-learning update. If then ; If , and the number of times CNT5 that the condition is continuously satisfied exceeds a preset number, then , ; In other cases, and is not updated.

9. An EGR system closed loop enabled optimal control apparatus, characterized by, The method comprises: a first judging module for determining whether an EGR closed-loop enabling minimum EGR rate condition is met; a second judging module for judging whether engine speed, intake air temperature, engine water temperature, atmospheric temperature and atmospheric pressure meet preset conditions, and if the preset conditions are met, performing EGR closed-loop control; a self-learning module for updating the preset conditions of the atmospheric temperature and the atmospheric pressure in a self-learning manner; the method for judging whether the atmospheric temperature meets the preset conditions comprises: If the current state is EGR closed loop not enabled, enter EGR closed loop state, need to ensure no less than the minimum atmospheric temperature, that is, enable minimum atmospheric temperature , wherein C1 is an initial value, is the minimum atmospheric temperature learning coefficient If the current state is the EGR closed loop enable state, exiting the EGR system closed loop enable state requires assurance of being below a minimum atmospheric temperature, i.e., exit enable minimum atmospheric temperature , where C2 is an initial value, is an exit enable minimum atmospheric temperature learning coefficient; or, if the current state is the EGR closed loop enable state, exiting the EGR system closed loop enable state requires assurance of being above a maximum atmospheric temperature, i.e., exit enable maximum atmospheric temperature , where C4 is an initial value, is an exit enable maximum atmospheric temperature learning coefficient; If the current state is EGR closed loop not enabled, enter the EGR closed loop state, need to ensure that the maximum atmospheric temperature is not exceeded, i.e. enabling the highest atmospheric temperature the method for judging whether the atmospheric pressure meets the preset conditions comprises: the method for updating the preset conditions of the atmospheric temperature and the atmospheric pressure in a self-learning manner comprises: the method for updating the preset conditions of the atmospheric temperature and the atmospheric pressure in a self-learning manner further comprises: the method for updating the preset conditions of the atmospheric temperature and the atmospheric pressure in a self-learning manner further comprises: , where C3 is an initial value, is to enable the maximum atmospheric temperature learning coefficient.

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