CN113283039B - Engine exhaust system optimization method, device, medium and electronic equipment - Google Patents
Engine exhaust system optimization method, device, medium and electronic equipment Download PDFInfo
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- CN113283039B CN113283039B CN202110822154.9A CN202110822154A CN113283039B CN 113283039 B CN113283039 B CN 113283039B CN 202110822154 A CN202110822154 A CN 202110822154A CN 113283039 B CN113283039 B CN 113283039B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
- F01N13/00—Exhaust or silencing apparatus characterised by constructional features ; Exhaust or silencing apparatus, or parts thereof, having pertinent characteristics not provided for in, or of interest apart from, groups F01N1/00 - F01N5/00, F01N9/00, F01N11/00
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
- F01N13/00—Exhaust or silencing apparatus characterised by constructional features ; Exhaust or silencing apparatus, or parts thereof, having pertinent characteristics not provided for in, or of interest apart from, groups F01N1/00 - F01N5/00, F01N9/00, F01N11/00
- F01N13/08—Other arrangements or adaptations of exhaust conduits
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Abstract
The embodiment of the application discloses an engine exhaust system optimization method, device, medium and electronic equipment. The method comprises the following steps: obtaining key exhaust structure parameters of an engine exhaust system; determining an exhaust loss mathematical proxy model according to the key exhaust structure parameters and the engine simulation model; the engine simulation model is used for determining pumping loss and exhaust pulse energy loss according to key exhaust structure parameters; based on a preset optimization algorithm, the minimum pumping loss and the exhaust pulse energy loss are used as optimization targets, and the exhaust loss mathematical proxy model is optimized; and if the optimization target is achieved, determining that the pumping loss and the exhaust pulse energy loss are optimal values of the exhaust loss, and the key exhaust structure parameters are optimal exhaust structure parameters, so that a user can optimize an engine exhaust system according to the optimal exhaust structure parameters. By executing the technical scheme, the exhaust process of the engine can be effectively optimized on the whole, and the oil consumption is reduced.
Description
Technical Field
The embodiment of the application relates to the field of engines, in particular to an engine exhaust system optimization method, device, medium and electronic equipment.
Background
With the gradual implementation of energy conservation and emission reduction, the vehicle engine continuously develops towards the direction of high power density and high supercharging pressure. However, the high supercharging pressure causes the exhaust flow and the amplitude of the exhaust pressure wave to be increased sharply, and the engine has the problems of unsmooth exhaust and the like. Specifically, the pump gas loss in the cylinder and the pulse energy loss in the exhaust pipe can be increased, and the oil consumption of the engine is increased, which runs counter to the original purpose of energy conservation and emission reduction. In order to reduce the exhaust energy loss and increase the exhaust energy utilization rate, the exhaust system of the engine needs to be optimally designed.
Most of the existing engine exhaust system optimization design methods are to respectively split the in-cylinder exhaust process and the exhaust process in the exhaust pipe in the exhaust process of the engine, respectively optimize the in-cylinder exhaust process and the exhaust process in the exhaust pipe, and cannot effectively optimize the exhaust process of the engine on the whole.
Disclosure of Invention
The embodiment of the application provides an engine exhaust system optimization method, device, medium and electronic equipment, and the method, device, medium and electronic equipment consider the mutual influence between in-cylinder exhaust and exhaust of an exhaust pipe in the exhaust process of an engine, and realize the overall optimization of the engine exhaust system, so that the oil consumption of the engine is reduced to the maximum extent.
In a first aspect, an embodiment of the present application provides a method for optimizing an engine exhaust system, the method including:
obtaining key exhaust structure parameters of an engine exhaust system;
determining an exhaust loss mathematical proxy model according to the key exhaust structure parameters and an engine simulation model; the engine simulation model is used for determining pumping loss and exhaust pulse energy loss according to the key exhaust structure parameters;
based on a preset optimization algorithm, taking the minimized pumping loss and the minimized exhaust pulse energy loss as optimization targets, and optimizing the mathematical proxy model of the exhaust loss;
and if the optimization target is achieved, determining that the pumping loss and the exhaust pulse energy loss are optimal values of exhaust loss, and the key exhaust structure parameter is an optimal exhaust structure parameter, so that a user can optimize the engine exhaust system according to the optimal exhaust structure parameter.
In a second aspect, an embodiment of the present application provides an engine exhaust system optimization apparatus, including:
the key exhaust structure parameter acquisition module is used for acquiring key exhaust structure parameters of an engine exhaust system;
the exhaust loss mathematical proxy model determining module is used for determining an exhaust loss mathematical proxy model according to the key exhaust structure parameters and the engine simulation model; the engine simulation model is used for determining pumping loss and exhaust pulse energy loss according to the key exhaust structure parameters;
the exhaust loss mathematical proxy model optimizing module is used for optimizing the exhaust loss mathematical proxy model by taking the minimized pumping loss and the minimized exhaust pulse energy loss as optimizing targets based on a preset optimizing algorithm;
and the optimal exhaust structure parameter determining module is used for determining that the pumping loss and the exhaust pulse energy loss are optimal values of exhaust loss and the key exhaust structure parameter is an optimal exhaust structure parameter if the optimization target is achieved, so that a user can optimize the engine exhaust system according to the optimal exhaust structure parameter.
In a third aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements an engine exhaust system optimization method as described in embodiments of the present application.
In a fourth aspect, embodiments of the present application provide an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the method for optimizing an exhaust system of an engine according to embodiments of the present application when executing the computer program.
According to the technical scheme provided by the embodiment of the application, the mutual influence between the in-cylinder exhaust and the exhaust in the exhaust pipe in the exhaust process of the engine is considered, the exhaust loss mathematical proxy model is constructed according to the key exhaust structure parameters and the engine simulation model, the minimum pumping loss and the minimum exhaust pulse energy loss are used as optimization targets based on the multivariate optimization principle, the exhaust loss mathematical proxy model is optimized by using the preset optimization algorithm, when the pumping loss and the exhaust pulse energy loss reach minimum simultaneously, the optimal exhaust structure parameters are obtained, the exhaust system of the engine is optimized according to the optimal exhaust structure parameters, the exhaust process of the engine is effectively optimized on the whole, and the oil consumption of the engine is reduced to the maximum extent.
Drawings
FIG. 1 is a flow chart of a method for optimizing an exhaust system of an engine according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of another method for optimizing an exhaust system of an engine provided in accordance with a second embodiment of the present application;
FIG. 3 is a flow chart of yet another method for optimizing an engine exhaust system according to a third embodiment of the present disclosure;
FIG. 4 is a flow chart of yet another method for optimizing an engine exhaust system according to a fourth embodiment of the present disclosure;
FIG. 5 is a schematic structural diagram of an engine exhaust system optimization device provided in the fifth embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to a seventh embodiment of the present application.
Detailed description of the preferred embodiments
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some of the structures related to the present application are shown in the drawings, not all of the structures.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Example one
Fig. 1 is a flowchart of an engine exhaust system optimization method according to an embodiment of the present disclosure, which may be applied to an engine exhaust system optimization. The method can be executed by the engine exhaust system optimization device provided by the embodiment of the application, and the device can be realized by software and/or hardware and can be integrated in electronic equipment for operating the system.
As shown in fig. 1, the engine exhaust system optimization method includes:
and S110, acquiring key exhaust structure parameters of an engine exhaust system.
The key exhaust structure parameters refer to structure parameters influencing energy loss of the engine in the engine exhaust system.
In order to reduce the energy loss of the engine in the exhaust process of the engine, the key exhaust structure parameters of the exhaust system of the engine need to be optimized. In an alternative embodiment, the key exhaust structure parameters include exhaust valve profile parameters and exhaust pipe structure parameters, the exhaust valve profile parameters include: at least one of an exhaust valve opening angle, an exhaust valve opening duration angle, and an exhaust valve lift; the structural parameters of the exhaust pipe comprise at least one of the diameter of the exhaust pipe, the curvature radius of the exhaust branch pipe and the total length of the exhaust branch pipe.
The exhaust valve profile parameter refers to a change curve of a valve lift along with a crank shaft angle in the process from opening to closing of the valve. The exhaust valve profile parameters include: at least one of an exhaust valve opening angle, an exhaust valve opening duration angle, and an exhaust valve lift. The exhaust pipe structural parameter refers to a parameter for characterizing the exhaust pipe structure. The structural parameters of the exhaust pipe comprise at least one of the diameter of the exhaust pipe, the curvature radius of the exhaust branch pipe and the total length of the exhaust branch pipe. It can be known that the profile parameters of the exhaust valve and the structural parameters of the exhaust pipe are not limited to the above, and the profile parameters of the exhaust valve and the structural parameters of the exhaust pipe can be added, deleted and changed according to actual conditions, for example, the diameter of the exhaust pipe in the structural parameters of the exhaust pipe can be replaced by the volume of the exhaust pipe; the exhaust valve profile parameter may also include an exhaust valve opening rate.
The exhaust valve and the exhaust pipe are used as key exhaust structures of an engine exhaust system, and the influence on the energy loss of the engine is particularly shown in the way that the in-cylinder pumping loss and the pulse energy loss in the exhaust pipe generated in the exhaust process of the engine are influenced. The pumping loss refers to the algebraic sum of the work consumed by overcoming the resistance of the air inlet pipe and the work consumed by overcoming the resistance of the exhaust pipe in the air exchange process of the engine. The exhaust gas of the turbocharging engine is discharged out of the cylinder through the exhaust valve and then enters the turbine through the exhaust pipe to do work, and the piston overcomes the pressure difference to push the exhaust to do work to generate pumping loss under the condition that the pressure in the cylinder is higher than the pressure in the exhaust pipe in the upward stage of the piston. In the process that the waste gas enters the turbine, the amplitude of the exhaust pressure wave is reduced due to the friction and the diameter change in the exhaust pipe and the reflection and superposition of the pressure wave at the pipe joint, so that the energy of the exhaust pressure wave for pushing the turbine to work is reduced, and the energy loss of the exhaust pulse is increased.
Alternatively, the type of the key exhaust structure parameter may be determined by a person skilled in the art by constructing an engine simulation model and simulating an actual exhaust process of the engine by using the engine simulation model. After the type of the key exhaust structure parameter is determined, the key exhaust structure parameter of the engine exhaust system is obtained, and specifically, raw data of each key exhaust structure parameter of the engine exhaust system is collected.
S120, determining an exhaust loss mathematical proxy model according to the key exhaust structure parameters and an engine simulation model; and the engine simulation model is used for determining pumping loss and exhaust pulse energy loss according to the key exhaust structure parameters.
The engine simulation model refers to an engine complete machine model which can be used for simulating the actual working process of the engine. The engine simulation model can be pre-built by related technicians by adopting one-dimensional thermodynamic simulation software GT-Power, and can comprise a supercharger, an intercooler, a cylinder, a crankcase, a connecting pipe system and other structures. And all structures of the engine simulation model are calibrated and meet the calibration requirement. The engine simulation model is calibrated by sequentially calibrating each structure of the engine simulation model by adopting test data so as to ensure the accuracy of the engine simulation model.
Specifically, calibrating the supercharger: and setting pressure and temperature boundaries of an inlet of the gas compressor and an inlet of the turbine, and then adjusting an efficiency coefficient, a rotation speed coefficient and a flow coefficient of the supercharger to enable the difference value of the calculation result of the pressure, the temperature, the flow and other parameters of the outlet of the gas compressor and the outlet of the turbine and the test result to be within a preset calibration error so as to finish the calibration of the supercharger. Calibrating the intercooler: the air pressure, the temperature and the flow of an intercooler inlet measured in a test are used as input boundaries, and the difference value between the calculated value and the test value of the air pressure and the temperature of an intercooler outlet is within a preset calibration error by adjusting the wall surface heat transfer coefficient and the friction coefficient of the intercooler. Calibrating the cylinder: and inputting parameters such as measured cylinder pressure, pressure and temperature of the air inlet pipe and the like serving as boundaries into a single cylinder model to calculate the heat release rate, and adjusting the wall surface temperature and the heat transfer coefficient of the cylinder to enable the calculated cylinder pressure to be consistent with the test cylinder pressure, so that the difference value of the calculated cylinder pressure and the test cylinder pressure is within a preset calibration error, thereby completing the calibration of the cylinder. The preset calibration error is determined by a relevant technician according to an actual situation, and is not limited herein, and for example, the preset calibration error is 5%.
Calibrating a crankcase: and calculating the Friction Mean Effective Pressure (FMEP) by using a cylinder pressure integral calculation formula, and calibrating the crankcase according to the friction mean effective pressure. The cylinder pressure integral calculation formula is as follows:
wherein the content of the first and second substances,nis the engine speed;ithe number of cylinders;pmeasuring cylinder pressure;P w is the effective power of the engine;V s is the displacement of the cylinder.
Because the engine simulation model is a model for simulating the actual working process of the engine, the calibrated engine simulation model is used for DOE (design of experiments), each key exhaust structure parameter is input into the engine simulation model, and the engine simulation model can output the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameter.
Generally speaking, an engine simulation model can be directly used for optimizing an exhaust system of an engine, but the engine simulation model is obtained by modeling the whole engine and is used for describing the working process of the whole engine, a structure irrelevant to the exhaust process of the engine exists in the engine simulation model, and a large number of DOE experiments are needed for directly optimizing the engine exhaust system by using the engine simulation model, so that the calculation amount is large, and the optimization accuracy is poor.
The exhaust loss mathematical proxy model is a function which is determined by a mathematical method and is used for describing the correlation between key exhaust structure parameters in an engine exhaust system and the energy loss of an engine in an exhaust process. The exhaust loss mathematical proxy model is obtained by simplifying and abstracting an engine simulation model. Compared with an engine simulation model, the exhaust loss mathematical proxy model is lighter and faster in calculation speed. Given a key exhaust structure parameter, the exhaust loss mathematical proxy model can quickly output the pumping loss and exhaust pulse energy loss of the engine corresponding to the key exhaust structure parameter. Optionally, the mathematical proxy model of the exhaust loss is a least square method of 1 to 4 orders, a Kriging (Kriging) model or a neural network model in the response surface model. Preferably, the mathematical proxy model of outgassing loss is an elliptic base neural network model that is capable of fitting a mathematical relationship between multivariate input and output with greater accuracy. And training the elliptic base neural network model by using the key exhaust structure parameters and the pumping loss and the exhaust pulse energy loss determined by the engine simulation model, and determining the weight coefficient of each layer of the elliptic base neural network model to obtain the trained elliptic base neural network model.
S130, based on a preset optimization algorithm, the exhaust loss mathematical proxy model is optimized by taking the minimized pumping loss and the minimized exhaust pulse energy loss as optimization targets.
The preset optimization algorithm is an algorithm for performing multivariate optimization. Optionally, the preset optimization algorithm is a multi-variable optimization algorithm such as a multi-island genetic algorithm or a gradient algorithm.
In the process of optimizing the mathematical proxy model of the exhaust loss by using a preset optimization algorithm, the minimum pumping loss and the exhaust pulse energy loss are used as optimization targets, so that the pumping loss and the exhaust pulse energy loss reach minimum values at the same time.
And S140, if the optimization target is achieved, determining that the pumping loss and the exhaust pulse energy loss are optimal values of exhaust loss, and the key exhaust structure parameters are optimal exhaust structure parameters, so that a user can optimize the engine exhaust system according to the optimal exhaust structure parameters.
If the optimization target is achieved, the pumping loss and the exhaust pulse energy loss reach minimum values at the same time, the exhaust loss of the engine is the lowest, and the pumping loss and the exhaust pulse energy loss at the time can be determined to be the optimal exhaust loss. Each key exhaust structure parameter corresponding to the optimal value of the exhaust loss is the optimal exhaust structure parameter, and a user can optimize an engine exhaust system according to the optimal exhaust structure parameters, so that the oil consumption of the engine can be reduced.
According to the technical scheme provided by the embodiment of the application, the mutual influence between the in-cylinder exhaust and the exhaust in the exhaust pipe in the exhaust process of the engine is considered, the exhaust loss mathematical proxy model is determined according to the key exhaust structure parameters and the engine simulation model, the minimum pumping loss and the minimum exhaust pulse energy loss are used as optimization targets based on the multivariate optimization principle, the exhaust loss mathematical proxy model is optimized by using the preset optimization algorithm, when the pumping loss and the exhaust pulse energy loss reach minimum simultaneously, the optimal exhaust structure parameters are obtained, the exhaust system of the engine is optimized according to the optimal exhaust structure parameters, the exhaust process of the engine is effectively optimized on the whole, and the oil consumption of the engine is reduced to the maximum extent.
Example two
FIG. 2 is a flow chart of another method for optimizing an engine exhaust system according to a second embodiment of the present disclosure. The present embodiment is further optimized on the basis of the above-described embodiments. Specifically, the method carries out refinement on the mathematical proxy model for determining the exhaust loss according to the key exhaust structure parameters and the engine simulation model.
As shown in fig. 2, the engine exhaust system optimization method includes:
and S210, obtaining key exhaust structure parameters of an engine exhaust system.
S220, determining the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameters based on the engine simulation model.
Because the engine simulation model is an engine complete machine model which can be used for simulating the actual working process of the engine, the key exhaust structure parameters are given, the actual working process of the engine exhaust system is simulated by using the engine simulation model, and the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameters are determined. And determining a sample space according to the key exhaust structure parameters, the pumping loss and the exhaust pulse energy loss, and determining an exhaust loss mathematical proxy model by using the key exhaust structure parameters, the pumping loss and the exhaust pulse energy loss in the sample space.
And S230, determining the mathematical proxy model of the exhaust loss according to the key exhaust structure parameters, the pumping loss and the exhaust pulse energy loss.
Under the condition that the exhaust loss mathematical proxy model is the neural network model, taking the key exhaust structure parameters in the sample space as training samples of the exhaust loss mathematical proxy model, and taking the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust parameters in the sample space as label data to train the exhaust loss mathematical proxy model so as to obtain the trained exhaust loss mathematical proxy model.
In order to ensure the accuracy of the mathematical proxy model of exhaust loss, a large amount of sample data is required to train the mathematical proxy model of exhaust loss. In an alternative embodiment, determining the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameter based on the engine simulation model comprises: determining the variation range of each key exhaust structure parameter according to the operation specified by the variation range of the key exhaust structure parameter of a user; in the variation range of each key exhaust structure parameter, increasing the number of the key exhaust structure parameters by using a data sample increasing method to obtain a key exhaust structure parameter sample; determining the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameter samples based on the engine simulation model.
The variation range of the key exhaust structure parameters is an empirical value determined by a user according to the actual working process of the engine exhaust system, and each key exhaust structure parameter has a variation range of the corresponding key exhaust structure parameter. The variation range of the key exhaust structure parameters is limited, and the key exhaust structure parameters increased by using the data sample increasing method can be guaranteed to have practical physical significance.
The variation range of each key exhaust structure parameter is not limited here, and for example, the variation range of the exhaust valve opening angle α is as follows: 80 degrees before the piston bottom dead center to 10 degrees before the piston bottom dead center; the variation range of the opening duration angle phi of the exhaust valve is as follows: 180 degrees to 240 degrees; the variation range of the exhaust valve lift S is as follows: 8 mm-20 mm; the range of variation of the exhaust pipe diameter D is: 20 mm-60 mm; the variation range of the curvature radius R of the exhaust branch pipe is as follows: 0 mm-200 mm; the variation range of the total length L of the exhaust branch pipe is as follows: 50 mm-300 mm.
The data sample adding method is a method for increasing the number of key exhaust structure parameters, and optionally, the data sample adding method is a full factor method or a latin hypercube algorithm. Preferably, the number of key exhaust structure parameters is increased by using a Latin hypercube algorithm, the Latin hypercube algorithm can reduce the calculation times from more than one hundred thousand times to hundreds of times while ensuring the calculation precision, and the calculation efficiency is improved. Illustratively, in the case where the type of the critical exhaust structure parameter is category 6, for example, the critical exhaust structure parameter includes both the exhaust valve opening angle, the exhaust valve opening duration angle, the exhaust valve lift, the exhaust pipe diameter, the exhaust branch curvature radius and the total exhaust branch length, if each critical exhaust structure parameter is of the same type as the type of the critical exhaust structure parameter, the critical exhaust structure parameter includes the exhaust valve opening angle, the exhaust valve opening duration angle, the exhaust valve lift, the exhaust pipe diameter, the exhaust branch curvature radius and the exhaust branch lengthThe parameters were changed 7 times, and the full factor method required 117649 calculations (7 times)6) The Latin hypercube algorithm can meet the calculation precision requirement by only calculating 300 groups of parameter combinations of 6 key exhaust structure parameters.
In the variation range of each key exhaust structure parameter, the number of the key exhaust structure parameters is increased by using a data sample increasing method, so that the number of the key exhaust structure parameter samples can be increased under the condition of ensuring that the key exhaust structure has actual physical significance, and the accuracy of the exhaust loss mathematical proxy model is further improved.
After obtaining the key exhaust structure parameter sample, inputting the key exhaust structure parameter sample into an engine simulation model, and outputting corresponding pumping loss and exhaust pulse energy loss as label data by the engine simulation model so as to train an exhaust loss mathematical proxy model.
S240, based on a preset optimization algorithm, the exhaust loss mathematical proxy model is optimized by taking the minimized pumping loss and the minimized exhaust pulse energy loss as optimization targets.
And S250, if the optimization target is achieved, determining that the pumping loss and the exhaust pulse energy loss are optimal values of exhaust loss, and the key exhaust structure parameters are optimal exhaust structure parameters, so that a user can optimize the engine exhaust system according to the optimal exhaust structure parameters.
According to the technical scheme provided by the embodiment of the application, the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameters are determined based on an engine simulation model. And determining an exhaust loss mathematical proxy model according to the key exhaust structure parameters, the pumping loss and the exhaust pulse energy loss, wherein the exhaust loss mathematical proxy model describes the key exhaust structure parameters in an engine exhaust system and the energy loss of the engine in the exhaust process, and considers the mutual influence between the in-cylinder exhaust and the exhaust in the exhaust pipe in the exhaust process of the engine. By implementing the scheme, the exhaust process of the engine is effectively optimized on the whole, and the oil consumption of the engine is reduced to the maximum extent.
EXAMPLE III
FIG. 3 is a flowchart of another method for optimizing an exhaust system of an engine according to a third embodiment of the present disclosure. The present embodiment is further optimized on the basis of the above-described embodiments. Specifically, optimization of the mathematical proxy model of the exhaust loss is refined by taking the minimized pumping loss and the minimized energy loss of the exhaust pulse as optimization targets based on a preset optimization algorithm.
As shown in fig. 3, the engine exhaust system optimization method includes:
and S310, acquiring key exhaust structure parameters of an engine exhaust system.
S320, determining the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameters based on the engine simulation model.
S330, determining the mathematical proxy model of the exhaust loss according to the key exhaust structure parameters, the pumping loss and the exhaust pulse energy loss.
S340, taking the minimized pumping loss and the minimized exhaust pulse energy loss as an optimization target, and optimizing the mathematical proxy model of the exhaust loss in the variation range of each key exhaust structure parameter by using the genetic algorithm.
The minimum value of the pumping loss and the exhaust pulse energy loss is simultaneously obtained to be used as an optimization target of a genetic algorithm, multivariate optimization is carried out on an exhaust loss mathematical proxy model by using the genetic algorithm, the exhaust loss mathematical proxy model is a target function of the genetic algorithm, each key exhaust structure parameter is a variable of the genetic algorithm, and the combination of each key exhaust structure parameter which can enable the pumping loss value and the exhaust pulse energy loss value to simultaneously reach the minimum value is determined in the variation range of each key exhaust structure parameter. Alternatively, the genetic algorithm is a second generation genetic algorithm.
Wherein, the variation range of each key exhaust structure parameter is determined according to the key exhaust structure parameter variation range specifying operation of a user. Each kind of key exhaust structure parameter has a variation range corresponding to the key exhaust structure parameter, and the variation range of the key structure parameter is limited to ensure that each optimized key exhaust structure parameter has actual physical significance. The variation range of the key exhaust structure parameter is an empirical value determined by a user according to the actual working condition of the engine exhaust system, and is not limited herein.
In order to simplify the operation flow of the user, the variation range of the key exhaust structure parameter of the user designates the variation range of each key exhaust structure parameter determined by the operation, and the variation range can be simultaneously used for the determination process of the exhaust loss mathematical proxy model and the optimization process of the exhaust loss mathematical proxy model.
And S350, if the optimization target is achieved, determining that the pumping loss and the exhaust pulse energy loss are optimal values of exhaust loss, and the key exhaust structure parameters are optimal exhaust structure parameters, so that a user can optimize the engine exhaust system according to the optimal exhaust structure parameters.
According to the technical scheme provided by the embodiment of the application, the mutual influence between the in-cylinder exhaust and the exhaust in the exhaust pipe in the exhaust process of the engine is considered, the exhaust loss mathematical proxy model is constructed according to the key exhaust structure parameters and the engine simulation model, the minimum pumping loss and the minimum exhaust pulse energy loss are used as optimization targets based on the multivariate optimization principle, the exhaust loss mathematical proxy model is optimized by using a genetic algorithm, when the pumping loss and the exhaust pulse energy loss reach minimum simultaneously, the optimal exhaust structure parameters are obtained, the exhaust system of the engine is optimized according to the optimal exhaust structure parameters, the exhaust process of the engine is effectively optimized on the whole, and the oil consumption of the engine is reduced to the maximum extent.
Example four
FIG. 4 is a flowchart of a method for optimizing an exhaust system of an engine according to a fourth embodiment of the present disclosure. The present embodiment is further optimized on the basis of the above-described embodiments. Specifically, the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameter are determined through the engine simulation model as an exhaust loss calculation value for the 'additional operation after the key exhaust structure parameter is determined as the optimal exhaust structure parameter'; and determining optimization accuracy according to the exhaust loss calculation value and the exhaust loss optimal value, and optimizing the engine exhaust system according to the optimal exhaust structure parameter if the optimization accuracy meets the preset optimization accuracy requirement. "
As shown in fig. 4, the engine exhaust system optimization method includes:
and S410, acquiring key exhaust structure parameters of an engine exhaust system.
S420, determining an exhaust loss mathematical proxy model according to the key exhaust structure parameters and an engine simulation model; and the engine simulation model is used for determining pumping loss and exhaust pulse energy loss according to the key exhaust structure parameters.
And S430, based on a preset optimization algorithm, optimizing the mathematical proxy model of the exhaust loss by taking the minimized pumping loss and the minimized exhaust pulse energy loss as optimization targets.
S440, if the optimization target is achieved, determining that the pumping loss and the exhaust pulse energy loss are optimal values of exhaust loss, and the key exhaust structure parameters are optimal exhaust structure parameters, so that a user can optimize the engine exhaust system according to the optimal exhaust structure parameters.
S450, determining the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameters through the engine simulation model to serve as exhaust loss calculation values.
Under the condition that the optimal value of the exhaust loss is not further verified, an assembling experiment of a sample piece is processed and manufactured directly according to the optimal value of the exhaust loss, and economic loss can be caused due to the fact that the optimizing precision does not meet the standard. Therefore, after obtaining the optimal value of the exhaust loss, further verification of the accuracy of further determining the optimal value of the exhaust loss is required.
Specifically, the optimizing precision is preliminarily verified by using an engine simulation model with relatively high precision and accuracy. And inputting each key exhaust structure parameter into an engine simulation model, calculating corresponding pumping loss and exhaust pulse energy loss by the engine simulation model, and taking the calculated pumping loss and exhaust pulse energy loss as exhaust loss calculation values. And (4) taking an exhaust loss calculation value determined by the engine simulation model as a reference value, and verifying the optimization precision.
And S460, determining optimization accuracy according to the exhaust loss calculation value and the exhaust loss optimal value, and optimizing the engine exhaust system according to the optimal exhaust structure parameter if the optimization accuracy meets the preset optimization accuracy requirement.
And calculating a difference value between the optimal value of the exhaust loss and the calculated value of the exhaust loss, comparing the difference value between the optimal value of the exhaust loss and the calculated value of the exhaust loss with a preset optimizing precision requirement, and judging whether the optimizing precision meets the preset optimizing precision requirement or not. The preset optimization accuracy requirement is an acceptable error range determined by related technicians according to actual service requirements, and is not limited herein and is specifically determined according to actual conditions. Illustratively, the preset optimization accuracy requirement is 5%.
If the optimizing precision meets the preset optimizing precision requirement, the relative error between the exhaust loss optimal value and the exhaust loss calculated value is within an acceptable range, and the optimizing precision verification is passed. In contrast, if the optimization precision does not meet the preset optimization precision requirement, it is indicated that the relative error between the optimal value of the exhaust loss and the calculated value of the exhaust loss exceeds the acceptable range, the verification of the optimization precision fails, and the accuracy of the mathematical proxy model of the exhaust loss needs to be further improved. Specifically, the number of sample data in the sample space is further increased based on the engine simulation model, and the exhaust loss mathematical proxy model is retrained. And then, optimizing the exhaust loss mathematical proxy model obtained by retraining by using a preset optimization algorithm until the optimization precision meets the requirement of the preset optimization precision.
In actual production and manufacturing, the optimization of the engine according to the optimal exhaust structure parameters is performed when the calculation accuracy of the engine simulation model meets the standard, so that the calculation accuracy of the engine simulation model needs to be further verified, and in an optional embodiment, after the optimization of the engine exhaust system according to the optimal exhaust structure parameters, the method further comprises the following steps: obtaining pumping loss and exhaust pulse energy loss after an engine exhaust system is optimized to be used as exhaust loss measured values; and determining calculation precision according to the exhaust loss calculation value and the exhaust loss measurement value, and if the calculation precision does not meet the preset calculation precision requirement, generating engine simulation model checking prompt information so that a user can check the engine simulation model according to the engine simulation model checking prompt information.
The exhaust loss measurement value refers to the pumping loss and the exhaust pulse energy loss which are actually measured in the experimental process of performing an exhaust system performance experiment on the engine optimized by using the exhaust loss optimal value.
The exhaust loss measurement value is a real value capable of reflecting the optimization result of the engine exhaust system, and the exhaust loss measurement value can be used as a reference value to verify the calculation accuracy of the engine simulation model. Specifically, a difference value between the exhaust loss measurement value and the exhaust loss calculation value is calculated, and the difference value between the exhaust loss measurement value and the exhaust loss calculation value and a preset calculation precision requirement are used for judging whether the calculation precision meets the preset calculation precision requirement, wherein the preset calculation precision requirement is an acceptable error range determined by relevant technicians according to actual business requirements, and is not limited herein and is specifically determined according to actual conditions. Illustratively, the predetermined calculation accuracy requirement is 5%. If the calculation accuracy meets the preset calculation accuracy requirement, the relative error between the exhaust loss measured value and the exhaust loss calculated value is within an acceptable range, the calculation accuracy is verified, and the engine exhaust system can be optimized based on the engine simulation model.
If the calculation precision does not meet the preset calculation precision requirement, generating engine simulation model checking prompt information to indicate that the engine simulation model needs to be checked, and specifically, recalibrating the engine simulation model by using the optimized experimental data of the engine. And optimizing the engine exhaust system again by using the exhaust system optimization method provided by the embodiment of the application based on the verified engine simulation model until the calculation precision meets the preset calculation precision requirement.
According to the technical scheme provided by the embodiment of the application, after the optimal value of the exhaust loss is determined through the preset optimization algorithm, the optimization precision is determined according to the engine simulation model, and after the optimization precision meets the requirement of the preset optimization precision, the exhaust system of the engine is optimized according to the optimal exhaust structure parameters. By implementing the technical scheme, the accuracy of the optimal value of the exhaust loss can be ensured.
EXAMPLE five
Fig. 5 is an engine exhaust system optimization device according to a fifth embodiment of the present disclosure, which is applicable to optimizing an exhaust system of an engine. The device can be realized by software and/or hardware, and can be integrated in electronic equipment such as an intelligent terminal.
As shown in fig. 5, the apparatus may include:
a key exhaust structure parameter obtaining module 510 for obtaining a key exhaust structure parameter of an engine exhaust system;
an exhaust loss mathematical proxy model determining module 520, configured to determine an exhaust loss mathematical proxy model according to the key exhaust structure parameters and the engine simulation model; the engine simulation model is used for determining pumping loss and exhaust pulse energy loss according to the key exhaust structure parameters;
an exhaust loss mathematical proxy model optimizing module 530, configured to optimize the exhaust loss mathematical proxy model based on a preset optimization algorithm by using the minimized pumping loss and the minimized exhaust pulse energy loss as an optimization target;
an optimal exhaust structure parameter determining module 540, configured to determine, if the optimization objective is achieved, that the pumping loss and the exhaust pulse energy loss are optimal values of exhaust loss, and the key exhaust structure parameter is an optimal exhaust structure parameter, so that a user may optimize the engine exhaust system according to the optimal exhaust structure parameter.
According to the technical scheme provided by the embodiment of the application, the mutual influence between the in-cylinder exhaust and the exhaust in the exhaust pipe in the exhaust process of the engine is considered, the exhaust loss mathematical proxy model is constructed according to the key exhaust structure parameters and the engine simulation model, the minimum pumping loss and the minimum exhaust pulse energy loss are used as optimization targets based on the multivariate optimization principle, the exhaust loss mathematical proxy model is optimized by using the preset optimization algorithm, when the pumping loss and the exhaust pulse energy loss reach minimum simultaneously, the optimal exhaust structure parameters are obtained, the exhaust system of the engine is optimized according to the optimal exhaust structure parameters, the exhaust process of the engine is effectively optimized on the whole, and the oil consumption of the engine is reduced to the maximum extent.
Optionally, the key exhaust structure parameters include an exhaust valve profile parameter and an exhaust pipe structure parameter, and the exhaust valve profile parameter includes: at least one of an exhaust valve opening angle, an exhaust valve opening duration angle, and an exhaust valve lift; the structural parameters of the exhaust pipe comprise at least one of the diameter of the exhaust pipe, the curvature radius of the exhaust branch pipe and the total length of the exhaust branch pipe.
Optionally, the purge loss mathematical proxy model determination module 520 includes: a pumping loss and exhaust pulse energy loss determination submodule for determining the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameter based on the engine simulation model; and the exhaust loss mathematical proxy model determining submodule is used for determining the exhaust loss mathematical proxy model according to the key exhaust structure parameters, the pumping loss and the exhaust pulse energy loss.
Optionally, the pumping loss and exhaust pulse energy loss determining submodule includes: the key exhaust structure parameter variation range determining unit is used for determining the variation range of each key exhaust structure parameter according to the key exhaust structure parameter variation range designated operation of a user; the device comprises a key exhaust structure parameter sample acquisition unit, a data sample adding unit and a data analysis unit, wherein the key exhaust structure parameter sample acquisition unit is used for increasing the number of key exhaust structure parameters by using a data sample adding method in the variation range of each key exhaust structure parameter to obtain a key exhaust structure parameter sample; and the pumping loss and exhaust pulse energy loss determining unit is used for determining the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameter samples based on the engine simulation model.
Optionally, the preset optimization algorithm is a genetic algorithm; the optimization module 530 is specifically configured to use the genetic algorithm to optimize the mathematical proxy model of exhaust loss in the variation range of each key exhaust structure parameter, with the minimum pumping loss and the minimum energy loss of exhaust pulses as the optimization target; wherein, the variation range of each key exhaust structure parameter is determined according to the key exhaust structure parameter variation range specifying operation of a user.
Optionally, the apparatus further comprises: an exhaust loss calculation determination module to: after the key exhaust structure parameter is determined to be the optimal exhaust structure parameter, the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameter are determined through the engine simulation model to be used as an exhaust loss calculation value; and the optimizing precision determining module is used for determining optimizing precision according to the exhaust loss calculation value and the exhaust loss optimal value, and optimizing the engine exhaust system according to the optimal exhaust structure parameter if the optimizing precision meets the preset optimizing precision requirement.
Optionally, the apparatus further comprises: the exhaust loss measurement value determining module is used for obtaining the pumping loss and the exhaust pulse energy loss of the optimized engine exhaust system as exhaust loss measurement values after the engine exhaust system is optimized according to the optimal exhaust structure parameters; and the calculation precision determination module is used for determining calculation precision according to the exhaust loss calculation value and the exhaust loss measurement value, and if the calculation precision does not meet the preset calculation precision requirement, generating engine simulation model checking prompt information so that a user can check the engine simulation model according to the engine simulation model checking prompt information.
The engine exhaust system optimization device provided by the embodiment of the invention can execute the engine exhaust system optimization method provided by any embodiment of the invention, and has corresponding performance modules and beneficial effects for executing the engine exhaust system optimization method.
EXAMPLE six
There is also provided in accordance with a sixth embodiment of the present application a storage medium containing computer-executable instructions which, when executed by a computer processor, perform a method for engine exhaust system optimization, the method comprising:
obtaining key exhaust structure parameters of an engine exhaust system;
determining an exhaust loss mathematical proxy model according to the key exhaust structure parameters and an engine simulation model; the engine simulation model is used for determining pumping loss and exhaust pulse energy loss according to the key exhaust structure parameters;
based on a preset optimization algorithm, taking the minimized pumping loss and the minimized exhaust pulse energy loss as optimization targets, and optimizing the mathematical proxy model of the exhaust loss;
and if the optimization target is achieved, determining that the pumping loss and the exhaust pulse energy loss are optimal values of exhaust loss, and the key exhaust structure parameter is an optimal exhaust structure parameter, so that a user can optimize the engine exhaust system according to the optimal exhaust structure parameter.
Storage media refers to any of various types of memory electronics or storage electronics. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the computer system in which the program is executed, or may be located in a different second computer system connected to the computer system through a network (such as the internet). The second computer system may provide the program instructions to the computer for execution. The term "storage medium" may include two or more storage media that may reside in different unknowns (e.g., in different computer systems connected by a network). The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided by the embodiments of the present application contains computer-executable instructions, and the computer-executable instructions are not limited to the engine exhaust system optimization operation described above, and may also execute the relevant operations in the engine exhaust system optimization method provided by any of the embodiments of the present application.
EXAMPLE seven
The seventh embodiment of the present application provides an electronic device, in which the engine exhaust system optimization apparatus provided in the embodiments of the present application may be integrated, and the electronic device may be a device configured in a system, or may be a device that performs part or all of the performance in the system. Fig. 6 is a schematic structural diagram of an electronic device according to a seventh embodiment of the present application. As shown in fig. 6, the present embodiment provides an electronic device 600, which includes: one or more processors 620; a storage device 610 for storing one or more programs that, when executed by the one or more processors 620, cause the one or more processors 620 to implement a method for optimizing an engine exhaust system as provided by an embodiment of the present application, the method comprising:
obtaining key exhaust structure parameters of an engine exhaust system;
determining an exhaust loss mathematical proxy model according to the key exhaust structure parameters and an engine simulation model; the engine simulation model is used for determining pumping loss and exhaust pulse energy loss according to the key exhaust structure parameters;
based on a preset optimization algorithm, taking the minimized pumping loss and the minimized exhaust pulse energy loss as optimization targets, and optimizing the mathematical proxy model of the exhaust loss;
and if the optimization target is achieved, determining that the pumping loss and the exhaust pulse energy loss are optimal values of exhaust loss, and the key exhaust structure parameter is an optimal exhaust structure parameter, so that a user can optimize the engine exhaust system according to the optimal exhaust structure parameter.
Of course, those skilled in the art will appreciate that processor 620 may also implement aspects of the engine exhaust system optimization method provided in any of the embodiments of the present application.
The electronic device 600 shown in fig. 6 is only an example, and should not bring any limitation to the performance and the application range of the embodiments of the present application.
As shown in fig. 6, the electronic device 600 includes a processor 620, a storage device 610, an input device 630, and an output device 640; the number of the processors 620 in the electronic device may be one or more, and one processor 620 is taken as an example in fig. 6; the processor 620, the storage device 610, the input device 630, and the output device 640 in the electronic apparatus may be connected by a bus or other means, and are exemplified by being connected by a bus 650 in fig. 6.
The memory device 610 may be used as a computer readable storage medium for storing software programs, computer executable programs, and module units, such as program instructions corresponding to the engine exhaust system optimization method in the embodiments of the present application.
The storage device 610 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for performance; the storage data area may store data created according to the use of the terminal, and the like. In addition, the storage 610 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the storage 610 may further include memory located remotely from the processor 620, which may be connected via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 630 may be used to receive input numbers, character information, or voice information, and to generate key signal inputs related to user settings and performance control of the electronic device. The output device 640 may include a display screen, a speaker, and other electronic devices.
The engine exhaust system optimization device, the medium and the electronic equipment provided in the above embodiments can execute the engine exhaust system optimization method provided in any embodiment of the present application, and have corresponding performance modules and beneficial effects for executing the method. Technical details that are not elaborated in the above embodiments may be referred to a method for optimizing an engine exhaust system provided in any of the embodiments of the present application.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present application and the technical principles employed. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the appended claims.
Claims (9)
1. A method of engine exhaust system optimization, the method comprising:
obtaining key exhaust structure parameters of an engine exhaust system; the key exhaust structure parameters are determined by constructing an engine simulation model and simulating the actual exhaust process of the engine by using the engine simulation model, and the structure parameters influencing the energy loss of the engine in an engine exhaust system; the key exhaust structure parameters comprise exhaust valve profile parameters and exhaust pipe structure parameters, and the exhaust valve profile parameters comprise: at least one of an exhaust valve opening angle, an exhaust valve opening duration angle, and an exhaust valve lift; the structural parameters of the exhaust pipe comprise at least one of the diameter of the exhaust pipe, the curvature radius of the exhaust branch pipe and the total length of the exhaust branch pipe;
determining an exhaust loss mathematical proxy model according to the key exhaust structure parameters and an engine simulation model; the engine simulation model is used for determining pumping loss and exhaust pulse energy loss according to the key exhaust structure parameters; the exhaust loss mathematical proxy model is a neural network model obtained by simplifying and abstracting an engine simulation model;
based on a preset optimization algorithm, taking the minimized pumping loss and the minimized exhaust pulse energy loss as optimization targets, and optimizing the mathematical proxy model of the exhaust loss;
and if the optimization target is achieved, determining that the pumping loss and the exhaust pulse energy loss are optimal values of exhaust loss, and the key exhaust structure parameter is an optimal exhaust structure parameter, so that a user can optimize the engine exhaust system according to the optimal exhaust structure parameter.
2. The method of claim 1, wherein determining an exhaust loss mathematical proxy model from the key exhaust structure parameters and an engine simulation model comprises:
determining the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameters based on the engine simulation model;
and determining the exhaust loss mathematical proxy model according to the key exhaust structure parameters, the pumping loss and the exhaust pulse energy loss.
3. The method of claim 2, wherein determining the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameter based on the engine simulation model comprises:
determining the variation range of each key exhaust structure parameter according to the operation specified by the variation range of the key exhaust structure parameter of a user;
in the variation range of each key exhaust structure parameter, increasing the number of the key exhaust structure parameters by using a data sample increasing method to obtain a key exhaust structure parameter sample;
determining the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameter samples based on the engine simulation model.
4. The method according to claim 1, wherein the predetermined optimization algorithm is a genetic algorithm; the optimizing the mathematical proxy model of the exhaust loss based on a preset optimization algorithm by taking the minimized pumping loss and the minimized energy loss of the exhaust pulse as optimization targets comprises the following steps:
taking the minimized pumping loss and the minimized exhaust pulse energy loss as an optimization target, and optimizing the mathematical proxy model of the exhaust loss in the variation range of each key exhaust structure parameter by using the genetic algorithm; wherein, the variation range of each key exhaust structure parameter is determined according to the key exhaust structure parameter variation range specifying operation of a user.
5. The method of claim 1, wherein after determining that the key exhaust structure parameter is an optimal exhaust structure parameter, the method further comprises:
determining the pumping loss and the exhaust pulse energy loss corresponding to the key exhaust structure parameters through the engine simulation model to be used as exhaust loss calculation values;
and determining optimization accuracy according to the exhaust loss calculation value and the exhaust loss optimal value, and optimizing the engine exhaust system according to the optimal exhaust structure parameter if the optimization accuracy meets the preset optimization accuracy requirement.
6. The method of claim 5, after optimizing the engine exhaust system according to the optimal exhaust gas configuration parameter, the method further comprising:
obtaining pumping loss and exhaust pulse energy loss after an engine exhaust system is optimized to be used as exhaust loss measured values;
and determining calculation precision according to the exhaust loss calculation value and the exhaust loss measurement value, and if the calculation precision does not meet the preset calculation precision requirement, generating engine simulation model checking prompt information so that a user can check the engine simulation model according to the engine simulation model checking prompt information.
7. An engine exhaust system optimization device, comprising:
the key exhaust structure parameter acquisition module is used for acquiring key exhaust structure parameters of an engine exhaust system; the key exhaust structure parameters are determined by constructing an engine simulation model and simulating the actual exhaust process of the engine by using the engine simulation model, and the structure parameters influencing the energy loss of the engine in an engine exhaust system; the key exhaust structure parameters comprise exhaust valve profile parameters and exhaust pipe structure parameters, and the exhaust valve profile parameters comprise: at least one of an exhaust valve opening angle, an exhaust valve opening duration angle, and an exhaust valve lift; the structural parameters of the exhaust pipe comprise at least one of the diameter of the exhaust pipe, the curvature radius of the exhaust branch pipe and the total length of the exhaust branch pipe;
the exhaust loss mathematical proxy model determining module is used for determining an exhaust loss mathematical proxy model according to the key exhaust structure parameters and the engine simulation model; the engine simulation model is used for determining pumping loss and exhaust pulse energy loss according to the key exhaust structure parameters; the exhaust loss mathematical proxy model is a neural network model obtained by simplifying and abstracting an engine simulation model;
the exhaust loss mathematical proxy model optimizing module is used for optimizing the exhaust loss mathematical proxy model by taking the minimized pumping loss and the minimized exhaust pulse energy loss as optimizing targets based on a preset optimizing algorithm;
and the optimal exhaust structure parameter determining module is used for determining that the pumping loss and the exhaust pulse energy loss are optimal values of exhaust loss and the key exhaust structure parameter is an optimal exhaust structure parameter if the optimization target is achieved, so that a user can optimize the engine exhaust system according to the optimal exhaust structure parameter.
8. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the engine exhaust system optimization method according to any one of claims 1-6.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the computer program, implements the engine exhaust system optimization method of any one of claims 1-6.
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