A method, device and electronic device for controlling active regeneration temperature of DPF

Abstract

The present application provides a method, device and electronic device for controlling the active regeneration temperature of a DPF, the method comprising determining a first autonomous learning coefficient corresponding to the operating condition based on the operating condition of the vehicle, wherein the first autonomous learning coefficient is calculated based on the historical downstream temperature and the target downstream regeneration temperature of the vehicle under the operating condition; under the operating condition, calculating a first open-loop fuel injection amount based on the current upstream temperature, the specific heat capacity of the exhaust gas, the exhaust gas flow rate, the calibrated conversion efficiency, the target downstream regeneration temperature and the first autonomous learning coefficient; completing the control of the active regeneration temperature of the DPF when the downstream temperature after the first open-loop fuel injection amount is equal to the target downstream regeneration temperature, thereby only using the open-loop fuel injection amount to control the active regeneration temperature of the DPF to improve the efficiency of temperature control.

Description

Technical Field

[0001] The present invention relates to the technical field of active regeneration of diesel engines, and particularly to a method, device and electronic device for controlling the active regeneration temperature of a DPF. Background Art

[0002] In a diesel engine emission control system, a Diesel Oxidation Catalyst (DOC) and a Diesel Particulate Filter (DPF) usually work together to reduce the emission of harmful gases. Exhaust gas reduces harmful gases through an oxidation reaction in the DOC, while the DPF traps particulate matter.

[0003] During the active regeneration process, the high-temperature exhaust gas generated by the DOC helps to increase the temperature of the DPF, enabling it to reach the temperature required for burning particulate matter, thereby achieving the removal of particulate matter. This synergy helps to meet increasingly strict emission standards and reduce the environmental impact of diesel engines.

[0004] In the prior art, the active regeneration temperature of the DPF usually combines open-loop control of the fuel injection quantity and closed-loop control of the fuel injection quantity, and sprays the fuel injection quantity twice, resulting in low temperature control efficiency. Summary of the Invention

[0005] The present application provides a method, device and electronic device for controlling the active regeneration temperature of a DPF, aiming to solve the problem of low control efficiency of the active regeneration temperature of the DPF in the prior art.

[0006] In a first aspect, the present application provides a method for controlling the active regeneration temperature of a DPF, the method comprising:

[0007] Based on the operating condition of the vehicle, determine a first self-learning coefficient corresponding to the operating condition, wherein the first self-learning coefficient is calculated by the vehicle based on the historical downstream temperature and the target downstream regeneration temperature under the operating condition, the historical downstream temperature is the downstream temperature after the completion of the second open-loop fuel injection quantity, and the second open-loop fuel injection quantity is the open-loop fuel injection quantity in the control of the active regeneration temperature of the previous DPF;

[0008] Under the operating condition, calculate a first open-loop fuel injection quantity based on the current upstream temperature, the specific heat capacity of the exhaust gas, the exhaust gas flow rate, the calibrated conversion efficiency, the target downstream regeneration temperature and the first self-learning coefficient;

[0009] When the downstream temperature after the completion of the injection of the first open-loop fuel injection quantity is equal to the target downstream regeneration temperature, complete the control of the active regeneration temperature of the DPF.

[0010] In a possible implementation, the method further includes:

[0011] When the downstream temperature after the injection of the first open-loop fuel injection quantity is less than the target downstream regeneration temperature, calculate a first closed-loop fuel injection quantity based on the target downstream regeneration temperature and the downstream temperature after the injection of the first open-loop fuel injection quantity;

[0012] After the injection of the first closed-loop fuel injection quantity is completed, control the active regeneration temperature of the DPF.

[0013] In a possible implementation, the method further includes:

[0014] Calculate a second self-learning coefficient based on the first open-loop fuel injection quantity and the first closed-loop fuel injection quantity;

[0015] Use the second self-learning coefficient to replace the first self-learning coefficient corresponding to the operating condition, so as to use the second self-learning coefficient when calculating the first open-loop fuel injection quantity under the operating condition next time.

[0016] In a possible implementation, the calculating the second self-learning coefficient based on the first open-loop fuel injection quantity and the closed-loop fuel injection quantity includes:

[0017] Calculate a first sum value of the first open-loop fuel injection quantity and the first closed-loop fuel injection quantity;

[0018] Calculate the correlation between the first sum value and the first open-loop fuel injection quantity, and use the correlation calculation result as the second self-learning coefficient.

[0019] In a possible implementation, the calculating the correlation between the first sum value and the first open-loop fuel injection quantity includes:

[0020] Based on a target calculation method, calculate the correlation between the first sum value and the first open-loop fuel injection quantity, where the target calculation method includes one of the following: basic multiplication and division, normal distribution calculation method, moving average calculation method, linear fitting calculation method, polynomial fitting calculation method, neural network processing non-linear relationship calculation method.

[0021] In a possible implementation, calculate the first self-learning coefficient by the following method:

[0022] Calculate a second open-loop fuel injection quantity based on the historical current upstream temperature, the specific heat capacity of the exhaust gas, the exhaust gas flow rate, the calibrated conversion efficiency, the target downstream regeneration temperature, and a third self-learning coefficient, where the historical current upstream temperature is the upstream temperature before the control of the active regeneration temperature of the previous DPF, and the third self-learning coefficient is the self-learning coefficient corresponding to the control of the active regeneration temperature of the previous DPF;

[0023] Calculate a second closed-loop fuel injection quantity based on the target downstream regeneration temperature and the historical downstream temperature;

[0024] Calculate the first self-learning coefficient based on the second open-loop fuel injection quantity and the second closed-loop fuel injection quantity.

[0025] In one possible implementation, the calculating the first self-learning coefficient based on the second open-loop fuel injection quantity and the second closed-loop fuel injection quantity includes:

[0026] Calculate a second sum value of the second open-loop fuel injection quantity and the second closed-loop fuel injection quantity;

[0027] Calculate the correlation between the second sum value and the second open-loop fuel injection quantity, and use the correlation calculation result as the first self-learning coefficient.

[0028] In one possible implementation, the calculating the correlation between the second sum value and the second open-loop fuel injection quantity includes:

[0029] Based on a target calculation method, calculate the correlation between the second sum value and the second open-loop fuel injection quantity, where the target calculation method includes one of the following: basic multiplication and division, normal distribution calculation method, moving average calculation method, linear fitting calculation method, polynomial fitting calculation method, neural network processing non-linear relationship calculation method.

[0030] In a second aspect, the present application provides a control device for the active regeneration temperature of a DPF, and the device includes:

[0031] A calculation module, configured to determine a first self-learning coefficient corresponding to the operating condition based on the operating condition of the vehicle, where the first self-learning coefficient is calculated based on the historical downstream temperature and the target downstream regeneration temperature under the operating condition of the vehicle, the historical downstream temperature is the downstream temperature after the second open-loop fuel injection quantity is completed, and the second open-loop fuel injection quantity is the open-loop fuel injection quantity in the control of the active regeneration temperature of the previous DPF;

[0032] Under the operating condition, calculate a first open-loop fuel injection quantity based on the current upstream temperature, the specific heat capacity of the exhaust gas, the exhaust gas flow rate, the calibrated conversion efficiency, the target downstream regeneration temperature, and the first self-learning coefficient;

[0033] A control module is configured to complete the control of the active regeneration temperature of the DPF when the downstream temperature after the injection of the first open-loop fuel injection amount is equal to the target downstream regeneration temperature.

[0034] In a third aspect, the present application provides an electronic device, including:

[0035] A memory for storing a computer program;

[0036] A processor, connected to the memory, is configured to execute the computer instructions in the memory and implement the method according to any one of the first aspects when executing the computer instructions.

[0037] The beneficial effects of the present application are as follows:

[0038] The present application provides a method, a device and an electronic device for controlling the active regeneration temperature of a DPF. The method includes determining a first self-learning coefficient corresponding to the operating condition based on the operating condition of the vehicle, where the first self-learning coefficient is calculated based on the historical downstream temperature and the target downstream regeneration temperature under the operating condition of the vehicle, the historical downstream temperature is the downstream temperature after the completion of the second open-loop fuel injection amount, and the second open-loop fuel injection amount is the open-loop fuel injection amount in the control of the active regeneration temperature of the previous DPF; calculating a first open-loop fuel injection amount based on the current upstream temperature, the specific heat capacity of the exhaust gas, the exhaust gas flow rate, the calibrated conversion efficiency, the target downstream regeneration temperature and the first self-learning coefficient under the operating condition; and completing the control of the active regeneration temperature of the DPF when the downstream temperature after the injection of the first open-loop fuel injection amount is equal to the target downstream regeneration temperature. Therefore, when the downstream temperature after the injection of the first open-loop fuel injection amount is equal to the target downstream regeneration temperature, only the open-loop fuel injection amount is used to control the active regeneration temperature of the DPF, which improves the efficiency of temperature control compared with two fuel injections. Description of the Drawings

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0040] Figure 1 It is a schematic flowchart of a method for controlling the active regeneration temperature of a DPF provided by an embodiment of the present application;

[0041] Figure 2 It is a schematic structural diagram of a diesel engine aftertreatment system provided by an embodiment of the present application;

[0042] Figure 3 A schematic flow chart for calculating the first self - learning coefficient provided by an embodiment of the present application;

[0043] Figure 4 A schematic flow chart for calculating the first closed - loop fuel injection quantity provided by an embodiment of the present application;

[0044] Figure 5 A schematic flow chart for another method of controlling the active regeneration temperature of a DPF provided by an embodiment of the present application;

[0045] Figure 6 A schematic structural diagram of a control device for the active regeneration temperature of a DPF provided by an embodiment of the present application;

[0046] Figure 7 A schematic structural diagram of an electronic device provided by an embodiment of the present application. Detailed implementation manners

[0047] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0048] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above - mentioned drawings are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order different from those illustrated or described here. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present invention. On the contrary, they are only examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0049] The DPF regeneration temperature control method usually combines open - loop fuel injection quantity and closed - loop fuel injection quantity, that is, first inject the open - loop fuel injection quantity, and then inject the closed - loop fuel injection quantity, resulting in low efficiency of temperature control after two fuel injections.

[0050] To solve the above problems, an embodiment of the present application provides a method for controlling the active regeneration temperature of a DPF, as Figure 1 shown, which is a schematic flow chart of a method for controlling the active regeneration temperature of a DPF provided by an embodiment of the present application, and specifically includes:

[0051] S101: Determine a first self-learning coefficient corresponding to the operating condition based on the vehicle's operating condition, where the first self-learning coefficient is calculated by the vehicle based on the historical downstream temperature and the target downstream regeneration temperature under the operating condition, the historical downstream temperature is the downstream temperature after the completion of the second open-loop fuel injection amount, and the second open-loop fuel injection amount is the open-loop fuel injection amount corresponding to the control of the active regeneration temperature of the previous DPF;

[0052] S102: Under the operating condition, calculate a first open-loop fuel injection amount based on the current upstream temperature, specific heat capacity of the exhaust gas, exhaust gas flow rate, calibrated conversion efficiency, target downstream regeneration temperature, and the first self-learning coefficient;

[0053] S103: When the downstream temperature after the injection of the first open-loop fuel injection amount is equal to the target downstream regeneration temperature, complete the control of the active regeneration temperature of the DPF.

[0054] A method for controlling the active regeneration temperature of a DPF provided by an embodiment of the present application first determines a first self-learning coefficient corresponding to the operating condition based on the vehicle's operating condition, where the first self-learning coefficient is calculated by the vehicle based on the historical downstream temperature and the target downstream regeneration temperature under the operating condition, the historical downstream temperature is the downstream temperature after the completion of the second open-loop fuel injection amount, and the second open-loop fuel injection amount is the open-loop fuel injection amount in the control of the active regeneration temperature of the previous DPF; under this operating condition, calculate a first open-loop fuel injection amount based on the current upstream temperature, specific heat capacity of the exhaust gas, exhaust gas flow rate, calibrated conversion efficiency, target downstream regeneration temperature, and the first self-learning coefficient; when the downstream temperature after the injection of the first open-loop fuel injection amount is equal to the target downstream regeneration temperature, complete the control of the active regeneration temperature of the DPF, so that when the downstream temperature after the injection of the first open-loop fuel injection amount is equal to the target downstream regeneration temperature, only the open-loop fuel injection amount is used to control the active regeneration temperature of the DPF, compared with two fuel injections, improving the efficiency of temperature control.

[0055] It should be noted that the operating conditions of a diesel engine are usually determined by parameters such as the operating speed and load of the engine. In specific implementations, different operating conditions correspond to different specific heat capacities of the exhaust gas, exhaust gas flow rates, and calibrated conversion efficiencies. For example, the specific heat capacity of the exhaust gas corresponding to operating condition A is c1, the exhaust gas flow rate is m1, and the calibrated conversion efficiency is η1; the specific heat capacity of the exhaust gas corresponding to operating condition B is c2, the exhaust gas flow rate is m2, and the calibrated conversion efficiency is η2.

[0056] In the embodiment of the present application, first determine the vehicle's operating condition, and then determine a first self-learning coefficient corresponding to this operating condition. The first self-learning coefficient is calculated by the vehicle based on the historical downstream temperature and the target downstream regeneration temperature under this operating condition.

[0057] Specifically, the corresponding relationship between the operating conditions and the first self-learning coefficient can be established in advance, and then the first self-learning coefficient corresponding to the operating conditions can be determined from this corresponding relationship. It is also possible to calculate the first self-learning coefficient after determining the operating conditions. Regardless of which method is used, the calculation of the first self-learning coefficient is based on the historical downstream temperature and the target downstream regeneration temperature under the operating conditions of the vehicle. The difference is that when establishing the corresponding relationship between the operating conditions and the first self-learning coefficient in advance, the first self-learning coefficient can be calculated during the control process of the active regeneration temperature of the previous DPF, and then the corresponding relationship between the operating conditions and the first self-learning coefficient is established. After determining the operating conditions, when calculating the first self-learning coefficient, it is calculated after the control of the active regeneration temperature of the previous DPF ends. The parameters used in calculating the first self-learning coefficient can be recorded during the control process of the active regeneration temperature of the previous DPF.

[0058] The following takes the establishment of the corresponding relationship between the operating conditions and the first self-learning coefficient in advance as an example for illustration.

[0059] During the control process of the active regeneration temperature of the previous DPF, first calculate the second open-loop fuel injection quantity based on the historical current upstream temperature, the specific heat capacity of the exhaust gas, the exhaust gas flow rate, the calibration conversion efficiency, the target downstream regeneration temperature, and the third self-learning coefficient. The historical current upstream temperature is the upstream temperature before executing the control of the active regeneration temperature of the previous DPF. If the control of the active regeneration temperature of the previous DPF is the first control of the active regeneration temperature of the DPF, the third self-learning coefficient is the initial self-learning coefficient, which can be 1. If the control of the active regeneration temperature of the previous DPF is not the first control of the active regeneration temperature of the DPF, the third self-learning coefficient is calculated during the control process of the active regeneration temperature of the penultimate DPF.

[0060] It should be noted that the control of the active regeneration temperature of the penultimate DPF is the control of the active regeneration temperature of the DPF that is the previous one of the control of the active regeneration temperature of the previous DPF.

[0061] For example, in the case of operating condition A, first calculate the difference between the target downstream regeneration temperature t1 and the historical current upstream temperature t2, and then calculate the first product of the above difference and the specific heat capacity of the exhaust gas c1, the exhaust gas flow rate m1, and the calibration conversion efficiency η1. The above first product represents the energy Q1 required to raise the historical current upstream temperature t2 to the target downstream regeneration temperature t1, that is ;

[0062] Calculate the quotient of the energy Q1 and the preset fuel calorific value H, and then calculate the second product of the quotient and the third self-learning coefficient β3, and take the second product as the second open-loop fuel injection quantity MA2 , that is .

[0063] After calculating the second open-loop fuel injection quantity, perform the injection of the second open-loop fuel injection quantity. After the injection of the second open-loop fuel injection quantity is completed, determine the downstream temperature after the completion of the second open-loop fuel injection quantity. If it is determined that the downstream temperature after the completion of the second open-loop fuel injection quantity is less than the target downstream regeneration temperature, calculate the second closed-loop fuel injection quantity. Specifically, the calculation method of the second closed-loop fuel injection quantity can refer to the calculation method provided in the related art and will not be elaborated here.

[0064] After calculating the second closed-loop fuel injection quantity, calculate the first self-learning coefficient based on the second open-loop fuel injection quantity and the second closed-loop fuel injection quantity.

[0065] Specifically, calculate the second sum value of the second open-loop fuel injection quantity and the second closed-loop fuel injection quantity; calculate the correlation between the sum value and the second open-loop fuel injection quantity based on the target calculation method, and use the correlation calculation result as the first self-learning coefficient. The target calculation method includes one of the following: basic multiplication and division, normal distribution calculation method, moving average calculation method, linear fitting calculation method, polynomial fitting calculation method, neural network processing non-linear relationship calculation method.

[0066] For example, the calculated second closed-loop fuel injection quantity is M B2 , and the target calculation method is the linear fitting calculation method. Calculate the second open-loop fuel injection quantity M A2 and the second closed-loop fuel injection quantity M B2 to obtain the second sum value; calculate the quotient value of the second sum value and the second open-loop fuel injection quantity M A2 , and use this quotient value as the first self-learning coefficient β1, that is .

[0067] It should be noted that since the active regeneration temperature of the current DPF needs to be controlled, it means that the control of the active regeneration temperature of the previous DPF did not reach the target downstream regeneration temperature. Therefore, during the control of the active regeneration temperature of the previous DPF, the second open-loop fuel injection quantity will not be equal to 0.

[0068] The above is an explanation of the calculation of the first self-learning coefficient. Next, the current upstream temperature and downstream temperature used in the calculation of the first self-learning coefficient will be explained.

[0069] As Figure 2 shown, it is a schematic structural diagram of a diesel engine after-treatment system provided by an embodiment of the present application. The after-treatment system includes a DOC front temperature sensor T1, a DOC, a DPF front temperature sensor T2, a DPF, an SCR front temperature sensor T3, an SCR, an ASR, and an SCR rear temperature sensor.

[0070] The exhaust gas is fromFigure 2 The exhaust gas of the diesel engine after-treatment system shown flows from right to left, and successively passes through the DOC, DPF, SCR, and ASR. The temperature sensor T1 before the DOC is arranged on the exhaust pipe before the DOC, and the temperature sensor T2 before the DPF is arranged on the exhaust pipe before the DPF. Among them, the current upstream temperature is measured by the temperature sensor T1 before the DOC, and the downstream temperature is measured by the temperature sensor T2 before the DPF.

[0071] As Figure 3 shown, it is a schematic flow chart of calculating a first self-learning coefficient provided by an embodiment of the present application;

[0072] S301: Calculate the second open-loop fuel injection amount based on the historical current upstream temperature, specific heat capacity of the exhaust gas, exhaust gas flow rate, calibrated conversion efficiency, target downstream regeneration temperature, and the third self-learning coefficient;

[0073] S302: Calculate the second closed-loop fuel injection amount based on the target downstream regeneration temperature and the historical downstream temperature after the second open-loop fuel injection amount is completed;

[0074] S303: Calculate the second sum value of the second open-loop fuel injection amount and the second closed-loop fuel injection amount;

[0075] S304: Calculate the correlation between the above sum value and the second open-loop fuel injection amount based on the target calculation method, and use the correlation calculation result as the first self-learning coefficient.

[0076] Among them, based on the target calculation method, calculate the correlation between the second sum value and the second open-loop fuel injection amount. The target calculation method includes one of the following: basic multiplication and division, normal distribution calculation method, moving average calculation method, linear fitting calculation method, polynomial fitting calculation method, neural network processing non-linear relationship calculation method.

[0077] In one embodiment, when the downstream temperature after the first open-loop fuel injection amount is completed is less than the target downstream regeneration temperature, calculate the first closed-loop fuel injection amount based on the target downstream regeneration temperature and the downstream temperature after the first open-loop fuel injection amount is completed; after the first closed-loop fuel injection amount is completed, control the active regeneration temperature of the DPF.

[0078] Specifically, as Figure 4 shown, it is a schematic flow chart of calculating a first closed-loop fuel injection amount provided by an embodiment of the present application;

[0079] S401: Determine that the downstream temperature after the first open-loop fuel injection amount is completed is less than the target downstream regeneration temperature;

[0080] S402: Calculate the temperature difference value between the target downstream regeneration temperature and the above downstream temperature;

[0081] S403: Calculate the fuel injection quantity corresponding to the temperature difference value, and use the fuel injection quantity as the first closed-loop fuel injection quantity;

[0082] S404: After the injection of the first closed-loop fuel injection quantity is completed, control the active regeneration temperature of the DPF.

[0083] For example, in the case of operating condition A, it is determined that the downstream temperature after the injection of the first open-loop fuel injection quantity M A1 is less than the target downstream regeneration temperature t1, and calculate the temperature difference value between the target downstream regeneration temperature t1 and the above-mentioned downstream temperature ;

[0084] Calculate the fuel injection quantity corresponding to the temperature difference value and use the fuel injection quantity as the first closed-loop fuel injection quantity M B1 . If the downstream temperature after the injection of the first closed-loop fuel injection quantity M B1 is equal to the target downstream regeneration temperature t1, then control the active regeneration temperature of the DPF.

[0085] In one embodiment, after controlling the active regeneration temperature of the DPF, calculate the second self-learning coefficient based on the first open-loop fuel injection quantity and the first closed-loop fuel injection quantity;

[0086] Adopt the second self-learning coefficient to replace the first self-learning coefficient corresponding to the operating condition, so as to use the second self-learning coefficient when calculating the first open-loop fuel injection quantity under the next operating condition.

[0087] Specifically, as Figure 5 shown, it is a schematic flow chart of another method for controlling the active regeneration temperature of the DPF provided by the embodiment of the present application;

[0088] S501: Calculate the first sum value of the first open-loop fuel injection quantity and the first closed-loop fuel injection quantity;

[0089] S502: Based on the target calculation method, calculate the correlation between the first sum value and the first open-loop fuel injection quantity, and use the correlation calculation result as the second self-learning coefficient;

[0090] S503: Adopt the second self-learning coefficient to replace the first self-learning coefficient corresponding to the operating condition.

[0091] Among them, the target calculation method includes one of the following: basic multiplication and division, normal distribution calculation method, moving average calculation method, linear fitting calculation method, polynomial fitting calculation method, neural network processing non-linear relationship calculation method.

[0092] For example, in the case of operating condition A, calculate the first sum value of the first open-loop fuel injection quantity M A1 and the first closed-loop fuel injection quantity M B1 ;

[0093] If the target calculation method is the linear fitting calculation method, calculate the quotient of the first sum value and the first open-loop fuel injection quantity M A1 , and use the quotient as the second self-learning coefficient β2, and replace the first self-learning coefficient β1 corresponding to the operating condition A with the second self-learning coefficient β2.

[0094] Since during the control of the active regeneration temperature of the DPF this time, the downstream temperature after the injection of the first open-loop fuel injection quantity is less than the target downstream regeneration temperature, therefore, the control of the active regeneration temperature of the next DPF is required. During the control of the active regeneration temperature of the next DPF, determine that the first self-learning coefficient corresponding to the operating condition A is β2, and calculate the first open-loop fuel injection quantity M under the operating condition A A2 When, based on the current upstream temperature, specific heat capacity of the exhaust gas, exhaust gas flow rate, calibration conversion efficiency, target downstream regeneration temperature, and the first self-learning coefficient β2, calculate the first open-loop fuel injection quantity.

[0095] Based on the same inventive concept, the embodiment of the present application further provides a control device for the active regeneration temperature of a DPF. The principle of the control device for solving the technical problem is similar to the principle of the control method for the active regeneration temperature of the above DPF. The implementation of the control device can refer to the implementation of the control method, and the repeated parts will not be described again.

[0096] As Figure 6 shown, it is a schematic structural diagram of a control device for the active regeneration temperature of a DPF provided by an embodiment of the present application. The device includes:

[0097] A calculation module 601, configured to determine a first self-learning coefficient corresponding to the operating condition based on the operating condition of the vehicle, where the first self-learning coefficient is calculated by the vehicle based on the historical downstream temperature and the target downstream regeneration temperature under the operating condition, and the historical downstream temperature is the downstream temperature after the completion of the second open-loop fuel injection quantity, and the second open-loop fuel injection quantity is the open-loop fuel injection quantity in the control of the active regeneration temperature of the previous DPF;

[0098] Under the operating condition, calculate the first open-loop fuel injection quantity based on the current upstream temperature, specific heat capacity of the exhaust gas, exhaust gas flow rate, calibration conversion efficiency, target downstream regeneration temperature, and the first self-learning coefficient;

[0099] A control module 602, configured to complete the control of the active regeneration temperature of the DPF when the downstream temperature after the injection of the first open-loop fuel injection quantity is equal to the target downstream regeneration temperature.

[0100] In one embodiment, the calculation module 601 is configured to:

[0101] When the downstream temperature after the injection of the first open-loop fuel injection amount is less than the target downstream regeneration temperature, calculate a first closed-loop fuel injection amount based on the target downstream regeneration temperature and the downstream temperature after the injection of the first open-loop fuel injection amount.

[0102] The control module 602 is configured to control the active regeneration temperature of the DPF after the injection of the first closed-loop fuel injection amount is completed.

[0103] In one embodiment, the calculation module 601 is further configured to:

[0104] Calculate a second self-learning coefficient based on the first open-loop fuel injection amount and the first closed-loop fuel injection amount;

[0105] Replace the first self-learning coefficient corresponding to the operating condition with the second self-learning coefficient, so as to use the second self-learning coefficient when calculating the first open-loop fuel injection amount under the operating condition next time.

[0106] In one embodiment, the calculation module 601 is specifically configured to:

[0107] Calculate a first sum value of the first open-loop fuel injection amount and the first closed-loop fuel injection amount;

[0108] Calculate the correlation between the first sum value and the first open-loop fuel injection amount, and use the correlation calculation result as the second self-learning coefficient.

[0109] In one embodiment, the calculation module 601 is specifically configured to:

[0110] Calculate the correlation between the first sum value and the first open-loop fuel injection amount based on a target calculation method, where the target calculation method includes one of the following: basic multiplication and division, normal distribution calculation method, moving average calculation method, linear fitting calculation method, polynomial fitting calculation method, neural network processing non-linear relationship calculation method.

[0111] In one embodiment, the calculation module 601 is further configured to:

[0112] Calculate a second open-loop fuel injection amount based on the historical current upstream temperature, the specific heat capacity of the exhaust gas, the exhaust gas flow rate, the calibrated conversion efficiency, the target downstream regeneration temperature, and a third self-learning coefficient, where the historical current upstream temperature is the upstream temperature before the control of the active regeneration temperature of the previous DPF is performed, and the third self-learning coefficient is the self-learning coefficient corresponding to the control of the active regeneration temperature of the previous DPF;

[0113] Calculate a second closed-loop fuel injection amount based on the target downstream regeneration temperature and the historical downstream temperature;

[0114] Calculate the first self - learning coefficient based on the second open - loop fuel injection quantity and the second closed - loop fuel injection quantity.

[0115] In one embodiment, the calculation module 601 is specifically configured to:

[0116] Calculate the second sum value of the second open - loop fuel injection quantity and the second closed - loop fuel injection quantity;

[0117] Calculate the correlation between the second sum value and the second open - loop fuel injection quantity, and use the correlation calculation result as the first self - learning coefficient.

[0118] In one embodiment, the calculation module 601 is specifically configured to:

[0119] Calculate the correlation between the second sum value and the second open - loop fuel injection quantity based on a target calculation method, where the target calculation method includes one of the following: basic multiplication and division, normal distribution calculation method, moving average calculation method, linear fitting calculation method, polynomial fitting calculation method, neural network processing non - linear relationship calculation method.

[0120] Based on the same inventive concept, an embodiment of the present application further provides an electronic device. The principle of the electronic device for solving technical problems is similar to the principle of the above - mentioned DPF active regeneration temperature control method for solving technical problems. The implementation of the electronic device can refer to the implementation of the control method, and the repeated parts will not be described again.

[0121] As Figure 7 shown, it is a schematic structural diagram of an electronic device provided by an embodiment of the present application. The electronic device includes a processor 701 and a memory 702;

[0122] The memory 702 is used to store computer instructions;

[0123] The processor 701 is connected to the memory 702 and is configured to execute the computer instructions in the memory 702, and when executing the computer instructions, implement the following steps:

[0124] Determine a first self - learning coefficient corresponding to the operating condition based on the operating condition of the vehicle, where the first self - learning coefficient is calculated based on the historical downstream temperature and the target downstream regeneration temperature under the operating condition of the vehicle. The historical downstream temperature is the downstream temperature after the second open - loop fuel injection quantity is completed, and the second open - loop fuel injection quantity is the open - loop fuel injection quantity in the previous DPF active regeneration temperature control;

[0125] Under the operating condition, calculate a first open - loop fuel injection quantity based on the current upstream temperature, specific heat capacity of exhaust gas, exhaust gas flow rate, calibrated conversion efficiency, the target downstream regeneration temperature, and the first self - learning coefficient.

[0126] When the downstream temperature after the injection of the first open-loop fuel injection amount is equal to the target downstream regeneration temperature, the control of the active regeneration temperature of the DPF is completed.

[0127] In one embodiment, the processor 701 is further configured to:

[0128] When the downstream temperature after the injection of the first open-loop fuel injection amount is less than the target downstream regeneration temperature, calculate a first closed-loop fuel injection amount based on the target downstream regeneration temperature and the downstream temperature after the injection of the first open-loop fuel injection amount;

[0129] After the injection of the first closed-loop fuel injection amount is completed, the control of the active regeneration temperature of the DPF is completed.

[0130] In one embodiment, the processor 701 is further configured to:

[0131] Calculate a second self-learning coefficient based on the first open-loop fuel injection amount and the first closed-loop fuel injection amount;

[0132] Use the second self-learning coefficient to replace the first self-learning coefficient corresponding to the operating condition, so as to use the second self-learning coefficient when calculating the first open-loop fuel injection amount under the operating condition next time.

[0133] In one embodiment, the processor 701 is specifically configured to:

[0134] Calculate a first sum value of the first open-loop fuel injection amount and the first closed-loop fuel injection amount;

[0135] Calculate the correlation between the first sum value and the first open-loop fuel injection amount, and use the correlation calculation result as the second self-learning coefficient.

[0136] In one embodiment, the processor 701 is specifically configured to:

[0137] Calculate the correlation between the first sum value and the first open-loop fuel injection amount based on a target calculation method, where the target calculation method includes one of the following: basic multiplication and division, normal distribution calculation method, moving average calculation method, linear fitting calculation method, polynomial fitting calculation method, neural network processing non-linear relationship calculation method.

[0138] In one embodiment, the processor 701 is further configured to:

[0139] Calculate a second open-loop fuel injection quantity based on the historical current upstream temperature, the specific heat capacity of the exhaust gas, the exhaust gas flow rate, the calibrated conversion efficiency, the target downstream regeneration temperature, and a third self-learning coefficient, where the historical current upstream temperature is the upstream temperature before the control of the active regeneration temperature of the previous DPF, and the third self-learning coefficient is the self-learning coefficient corresponding to the control of the active regeneration temperature of the previous DPF;

[0140] Calculate a second closed-loop fuel injection quantity based on the target downstream regeneration temperature and the historical downstream temperature;

[0141] Calculate the first self-learning coefficient based on the second open-loop fuel injection quantity and the second closed-loop fuel injection quantity.

[0142] In one embodiment, the processor 701 is further configured to:

[0143] Calculate a second sum value of the second open-loop fuel injection quantity and the second closed-loop fuel injection quantity;

[0144] Calculate the correlation between the second sum value and the second open-loop fuel injection quantity, and use the correlation calculation result as the first self-learning coefficient.

[0145] In one embodiment, the processor 701 is specifically configured to:

[0146] Calculate the correlation between the second sum value and the second open-loop fuel injection quantity based on a target calculation method, where the target calculation method includes one of the following: basic multiplication and division, normal distribution calculation method, moving average calculation method, linear fitting calculation method, polynomial fitting calculation method, neural network processing non-linear relationship calculation method.

[0147] This application provides a method, device, and electronic device for controlling the active regeneration temperature of a DPF. The method includes determining a first self-learning coefficient corresponding to the operating condition based on the operating condition of the vehicle, where the first self-learning coefficient is calculated based on the historical downstream temperature and the target downstream regeneration temperature under the operating condition of the vehicle. The historical downstream temperature is the downstream temperature after the completion of the second open-loop fuel injection quantity, and the second open-loop fuel injection quantity is the open-loop fuel injection quantity in the control of the active regeneration temperature of the previous DPF; under the operating condition, calculate a first open-loop fuel injection quantity based on the current upstream temperature, the specific heat capacity of the exhaust gas, the exhaust gas flow rate, the calibrated conversion efficiency, the target downstream regeneration temperature, and the first self-learning coefficient; when the downstream temperature after the completion of the injection of the first open-loop fuel injection quantity is equal to the target downstream regeneration temperature, complete the control of the active regeneration temperature of the DPF, so that when the downstream temperature after the completion of the injection of the first open-loop fuel injection quantity is equal to the target downstream regeneration temperature, only the open-loop fuel injection quantity is used to control the active regeneration temperature of the DPF, which improves the efficiency of temperature control compared to performing two fuel injections.

[0148] Those skilled in the art will understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0149] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0150] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0151] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0152] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these modifications and variations.

Claims

1. A method for controlling the active regeneration temperature of a DPF, characterized in that: The method comprises: Based on the operating condition of the vehicle, determining a first autonomous learning coefficient corresponding to the operating condition, wherein the first autonomous learning coefficient is calculated by the vehicle under the operating condition based on a historical downstream temperature and a target downstream regeneration temperature, the historical downstream temperature being a downstream temperature after a second open-loop fuel injection amount is completed, and the second open-loop fuel injection amount is an open-loop fuel injection amount in the control of the last active regeneration temperature of the DPF; Under the operating condition, calculating a first open-loop fuel injection amount based on a current upstream temperature, a specific heat capacity of exhaust gas, an exhaust gas flow rate, a calibrated conversion efficiency, the target downstream regeneration temperature, and the first autonomous learning coefficient; When the downstream temperature after the first open-loop fuel injection amount is injected is equal to the target downstream regeneration temperature, the active regeneration temperature of the DPF is controlled; The first autonomous learning coefficient is calculated in the following way: Calculating a second open-loop fuel injection amount based on a historical current upstream temperature, the exhaust gas specific heat capacity, the exhaust gas flow rate, the calibrated conversion efficiency, the target downstream regeneration temperature, and a third autonomous learning coefficient, wherein the historical current upstream temperature is the upstream temperature before the control of the last active regeneration temperature of the DPF is performed, and the third autonomous learning coefficient is the autonomous learning coefficient corresponding to the control of the last active regeneration temperature of the DPF; calculating a second closed-loop fuel injection amount based on the target downstream regeneration temperature and the historical downstream temperature; Calculating a second sum of the second open-loop injection amount and the second closed-loop injection amount; Based on a target calculation method, the correlation between the second sum and the second open-loop injection amount is calculated, and the correlation calculation result is used as the first autonomous learning coefficient, wherein the target calculation method includes one of the following: basic multiplication and division, normal distribution calculation method, sliding average calculation method, linear fitting calculation method, polynomial fitting calculation method, neural network processing nonlinear relationship calculation method.

2. The method according to claim 1, characterized in that The method further comprises: When the downstream temperature after the first open-loop fuel injection amount is injected is less than the target downstream regeneration temperature, calculating the first closed-loop fuel injection amount based on the target downstream regeneration temperature and the downstream temperature after the first open-loop fuel injection amount is injected; After the first closed-loop fuel injection amount is injected, the active regeneration temperature of the DPF is controlled.

3. The method according to claim 2, characterized in that The method further comprises: calculating a second autonomous learning coefficient based on the first open-loop fuel injection amount and the first closed-loop fuel injection amount; The second autonomous learning coefficient is adopted to replace the first autonomous learning coefficient corresponding to the operating condition, so that the second autonomous learning coefficient is used when the first open-loop fuel injection amount under the operating condition is calculated next time.

4. The method according to claim 3, characterized in that The calculating a second autonomous learning coefficient based on the first open-loop fuel injection amount and the closed-loop fuel injection amount includes: Calculating a first sum of the first open-loop fuel injection amount and the first closed-loop fuel injection amount; The correlation between the first sum and the first open-loop fuel injection amount is calculated, and the correlation calculation result is used as the second autonomous learning coefficient.

5. The method according to claim 4, characterized in that The calculating the correlation between the first sum value and the first open-loop fuel injection amount includes: Based on a target calculation method, the correlation between the first sum and the first open-loop fuel injection amount is calculated, wherein the target calculation method includes one of the following: basic multiplication and division, normal distribution calculation method, sliding average calculation method, linear fitting calculation method, polynomial fitting calculation method, neural network processing nonlinear relationship calculation method.

6. A control device for active regeneration temperature of DPF, characterized in that: The device comprises: a calculation module, configured to determine, based on an operating condition of the vehicle, a first autonomous learning coefficient corresponding to the operating condition, wherein the first autonomous learning coefficient is calculated by the vehicle under the operating condition based on a historical downstream temperature and a target downstream regeneration temperature, the historical downstream temperature being a downstream temperature after a second open-loop fuel injection amount is completed, and the second open-loop fuel injection amount is an open-loop fuel injection amount in the control of a previous active regeneration temperature of the DPF; Under the operating condition, calculating a first open-loop fuel injection amount based on a current upstream temperature, a specific heat capacity of exhaust gas, an exhaust gas flow rate, a calibrated conversion efficiency, the target downstream regeneration temperature, and the first autonomous learning coefficient; A control module, configured to complete the control of the active regeneration temperature of the DPF when the downstream temperature after the first open-loop fuel injection amount is injected is equal to the target downstream regeneration temperature; The calculation module calculates the first autonomous learning coefficient in the following manner: Calculating a second open-loop fuel injection amount based on a historical current upstream temperature, the exhaust gas specific heat capacity, the exhaust gas flow rate, the calibrated conversion efficiency, the target downstream regeneration temperature, and a third autonomous learning coefficient, wherein the historical current upstream temperature is the upstream temperature before the control of the last active regeneration temperature of the DPF is performed, and the third autonomous learning coefficient is the autonomous learning coefficient corresponding to the control of the last active regeneration temperature of the DPF; calculating a second closed-loop fuel injection amount based on the target downstream regeneration temperature and the historical downstream temperature; Calculating a second sum of the second open-loop injection amount and the second closed-loop injection amount; Based on a target calculation method, the correlation between the second sum and the second open-loop injection amount is calculated, and the correlation calculation result is used as the first autonomous learning coefficient, wherein the target calculation method includes one of the following: basic multiplication and division, normal distribution calculation method, sliding average calculation method, linear fitting calculation method, polynomial fitting calculation method, neural network processing nonlinear relationship calculation method.

7. An electronic device, characterized in that: include: Memory for storing computer programs; A processor is connected to the memory, and is used to execute computer instructions in the memory, and implement the method according to any one of claims 1 to 5 when executing the computer instructions.

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