CN112182744A - EGR (exhaust gas Recirculation) rate prediction method, device, equipment and medium - Google Patents

EGR (exhaust gas Recirculation) rate prediction method, device, equipment and medium Download PDF

Info

Publication number
CN112182744A
CN112182744A CN202010948029.8A CN202010948029A CN112182744A CN 112182744 A CN112182744 A CN 112182744A CN 202010948029 A CN202010948029 A CN 202010948029A CN 112182744 A CN112182744 A CN 112182744A
Authority
CN
China
Prior art keywords
egr
parameter
basic model
basic
model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010948029.8A
Other languages
Chinese (zh)
Other versions
CN112182744B (en
Inventor
陈克朋
王颖
张功晖
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dongfeng Motor Corp
Original Assignee
Dongfeng Motor Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dongfeng Motor Corp filed Critical Dongfeng Motor Corp
Priority to CN202010948029.8A priority Critical patent/CN112182744B/en
Publication of CN112182744A publication Critical patent/CN112182744A/en
Application granted granted Critical
Publication of CN112182744B publication Critical patent/CN112182744B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/15Vehicle, aircraft or watercraft design
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/08Fluids

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Geometry (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Exhaust-Gas Circulating Devices (AREA)
  • Combined Controls Of Internal Combustion Engines (AREA)

Abstract

The invention discloses an EGR (exhaust gas recirculation) rate prediction method, device, equipment and medium, comprising the following steps: constructing an initial basic model according to a first actual structural parameter of the engine and a second actual structural parameter of the EGR system; inputting a first basic performance parameter into the engine virtual model, and inputting a flow characteristic parameter and a pressure loss characteristic parameter into the EGR virtual model, so that the initial basic model is updated into a first basic model; and inputting each EGR valve opening parameter into the first basic model, so that the first basic model simulates operation under each EGR valve opening parameter, and determining each first EGR rate corresponding to the first basic model under each EGR valve opening parameter. According to the EGR system, the EGR virtual model is established through basic performance parameters of the engine, and the EGR rate of the EGR system of the initial basic model under a certain working condition is determined through simulation of the EGR virtual model, so that accurate reference parameters of the EGR system can be provided when the engine enters a test stage, and the research and development period of the engine is shortened.

Description

EGR (exhaust gas Recirculation) rate prediction method, device, equipment and medium
Technical Field
The invention relates to the technical field of automobile simulation, in particular to an EGR (exhaust gas recirculation) rate prediction method, device, equipment and medium.
Background
In order to meet the increasingly stringent requirements of fuel consumption and emission regulations for gasoline engines, the technology of external cooling EGR (Exhaust Gas recirculation) is favored by various vehicle enterprises at present.
When an engine is researched and developed, firstly, the parameters of the whole engine are preliminarily determined, and the whole engine is a bare engine without an EGR system; and determining an EGR system to be built for the engine in a simulation mode.
However, in the related art, the simulation of the EGR system is not actually realized, and only if the EGR system having the determined EGR rate is configured for the engine under development according to the experience of the worker, whether the EGR rate is suitable for the engine under development can be confirmed only after the engine enters the test stage, that is, whether the EGR system having the determined EGR rate matches the engine under development can be determined only by actually operating the engine equipped with the EGR system having the determined EGR rate. That is, there is no relevant technical means in the related art to achieve the purpose of simulating the EGR system of the engine in advance, and only in the test stage, the EGR system matched with the engine is determined in a "trial-and-error" manner. Although the EGR system obtained in this manner has high accuracy and high practicability, the development cycle of the engine is long, and therefore, a technology capable of predicting an EGR system that is well matched with the engine in advance without a test is required.
Disclosure of Invention
The embodiment of the application provides an EGR rate prediction method, an EGR rate prediction device, EGR rate prediction equipment and an EGR rate prediction medium, solves the technical problem that an EGR system matched with an engine cannot be quickly determined through simulation in the prior art, achieves the purpose of quickly determining the EGR system matched with the engine, and provides guiding EGR system parameters for an engine test stage.
In a first aspect, the present application provides a method for predicting an EGR rate, the method comprising:
constructing an initial basic model according to a first actual structural parameter of the engine and a second actual structural parameter of the EGR system; wherein the initial base model comprises an engine virtual model and an EGR virtual model;
inputting a first basic performance parameter into the engine virtual model, and inputting a flow characteristic parameter and a pressure loss characteristic parameter into the EGR virtual model, so that the initial basic model is updated into a first basic model; the first basic performance parameter refers to an actual performance parameter of the engine corresponding to a first working condition selected from a plurality of working conditions of the engine; the flow characteristic parameter refers to an actual flow characteristic of the EGR system; the pressure loss characteristic parameter refers to an actual pressure loss characteristic of the EGR system;
and inputting each EGR valve opening parameter into the first basic model, so that the first basic model simulates operation under each EGR valve opening parameter, and determining each first EGR rate corresponding to the first basic model under each EGR valve opening parameter.
Further, the method further comprises:
acquiring each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter;
judging whether the relation between each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter and each first EGR rate corresponding to the first basic model under each EGR valve opening parameter meets a first preset requirement or not;
when the relation between each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter and each first EGR rate corresponding to the first basic model under each EGR valve opening parameter does not meet a first preset requirement, according to each first EGR rate, adjusting the first basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of the first basic model to obtain a second basic model, and determining each second EGR rate corresponding to the second basic model under each EGR valve opening parameter.
Further, the method further comprises:
when the relation between each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter and each first EGR rate corresponding to the first basic model under each EGR valve opening parameter meets a first preset requirement, the first basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of the first basic model are adjusted according to the universal characteristic test data of the engine to obtain a third basic model, and each third EGR rate corresponding to the third basic model under each EGR valve opening parameter is determined.
Further, the method further comprises:
inputting fourth basic performance parameters to the engine virtual models in the initial basic models respectively, and inputting flow characteristic parameters and pressure loss characteristic parameters to the EGR virtual models in the primary basic models respectively, so that the initial basic models are updated to the fourth basic models respectively; each fourth basic performance parameter refers to each actual performance parameter of the engine corresponding to a plurality of typical working conditions selected from a plurality of working conditions of the engine;
inputting opening parameters of the EGR valves into the fourth basic models respectively, and determining the first highest EGR rates corresponding to the fourth basic models respectively;
obtaining corresponding fourth pressure loss parameters of the fourth basic models when the corresponding first highest EGR rates are achieved;
judging whether the relationship between each fourth pressure loss parameter corresponding to each fourth basic model and each corresponding first highest EGR rate meets a second preset requirement when each fourth basic model reaches each corresponding first highest EGR rate;
and when the relationship between each fourth pressure loss parameter corresponding to each fourth basic model and each corresponding first highest EGR rate when each fourth basic model reaches each corresponding first highest EGR rate does not meet a second preset requirement, adjusting the fourth basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of each fourth basic model according to each first highest EGR rate to obtain a fifth basic model, and determining each second highest EGR rate corresponding to each fifth basic model.
Further, the method further comprises:
when the relationship between each fourth pressure loss parameter corresponding to each fourth basic model and each corresponding first highest EGR rate meets a second preset requirement when each fourth basic model reaches each corresponding first highest EGR rate, according to the universal characteristic test data of the engine, the fourth basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of each fourth basic model are adjusted to obtain a sixth basic model, and each third highest EGR rate corresponding to each sixth basic model is determined.
In a second aspect, the present application provides an EGR rate prediction apparatus comprising:
the first construction module is used for constructing an initial basic model according to a first actual structure parameter of the engine and a second actual structure parameter of the EGR system; wherein the initial base model comprises an engine virtual model and an EGR virtual model;
the first updating module is used for inputting a first basic performance parameter into the engine virtual model and inputting a flow characteristic parameter and a pressure loss characteristic parameter into the EGR virtual model so that the initial basic model is updated into the first basic model; the first basic performance parameter refers to an actual performance parameter of the engine corresponding to a first working condition selected from a plurality of working conditions of the engine; the flow characteristic parameter refers to an actual flow characteristic of the EGR system; the pressure loss characteristic parameter refers to an actual pressure loss characteristic of the EGR system;
the first determining module is used for inputting each EGR valve opening parameter into the first basic model, enabling the first basic model to perform simulated operation on each EGR valve opening parameter, and determining each first EGR rate corresponding to the first basic model under each EGR valve opening parameter.
Further, the apparatus further comprises:
the first obtaining module is used for obtaining each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter;
the first judgment module is used for judging whether the relation between each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter and each first EGR rate corresponding to the first basic model under each EGR valve opening parameter meets a first preset requirement or not;
the first adjusting module is used for adjusting the first basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of the first basic model according to each first EGR rate when the first basic model is under each EGR valve opening parameter and the relation between the first basic model and each first EGR rate corresponding to the first basic model under each EGR valve opening parameter does not meet a first preset requirement, so as to obtain a second basic model, and each second EGR rate corresponding to the second basic model under each EGR valve opening parameter is determined.
Further, the apparatus further comprises:
and the second adjusting module is used for adjusting the first basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of the first basic model according to the universal characteristic test data of the engine to obtain a third basic model and determining each third EGR rate corresponding to the third basic model under each EGR valve opening parameter when the relation between each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter and each first EGR rate corresponding to the first basic model under each EGR valve opening parameter meets a first preset requirement.
In a third aspect, the present application provides an electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute to implement an EGR rate prediction method.
In a fourth aspect, the present application provides a non-transitory computer readable storage medium having instructions stored thereon that, when executed by a processor of an electronic device, enable the electronic device to perform a method for EGR rate prediction.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
1. according to the method, the EGR virtual model is established through a forward prediction mode, namely through basic performance parameters of an engine prototype, and the EGR rate of the EGR system of the initial basic model under a certain working condition (for example, under a first working condition) is determined through simulation of the EGR virtual model, so that accurate reference parameters of the EGR system can be provided when the engine enters a test stage, and the research and development period of the engine is shortened.
2. According to the method and the device, the initial basic model is constructed through the actual structural parameters of the engine and the actual structural parameters of the EGR system, the performance parameters under different working conditions are input into the initial basic model, the EGR rate of the EGR system matched with the engine is positively predicted, the calibration range of effective parameters is further provided for the later stage test stage of the engine, and the development cycle of the engine is shortened.
3. The simulation of the EGR system in the application is not only embodied on the physical structure, but also embodied on the distribution characteristic and the flow characteristic of the fluid in the actual physical structure, so that the EGR virtual model can be closer to the state of the real EGR system, and the accuracy of the simulation result obtained according to the EGR virtual model can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for predicting EGR rate provided herein;
FIG. 2 is a schematic diagram of a high-speed EGR system according to the present disclosure;
FIG. 3 is a schematic flow chart of an EGR rate prediction apparatus provided herein;
fig. 4 is a schematic structural diagram of an electronic device provided in the present application.
Detailed Description
The embodiment of the application provides an EGR rate prediction method, and solves the technical problem that an EGR system matched with an engine cannot be quickly determined through simulation in the prior art.
In order to solve the technical problems, the general idea of the embodiment of the application is as follows:
an EGR rate prediction method, the method comprising: constructing an initial basic model according to a first actual structural parameter of the engine and a second actual structural parameter of the EGR system; wherein the initial base model comprises an engine virtual model and an EGR virtual model; inputting a first basic performance parameter into the engine virtual model, and inputting a flow characteristic parameter and a pressure loss characteristic parameter into the EGR virtual model, so that the initial basic model is updated into a first basic model; the first basic performance parameter refers to an actual performance parameter of the engine corresponding to a first working condition selected from a plurality of working conditions of the engine; the flow characteristic parameter refers to an actual flow characteristic of the EGR system; the pressure loss characteristic parameter refers to an actual pressure loss characteristic of the EGR system; and inputting each EGR valve opening parameter into the first basic model, so that the first basic model simulates operation under each EGR valve opening parameter, and determining each first EGR rate corresponding to the first basic model under each EGR valve opening parameter.
According to the method, the EGR virtual model is established through a forward prediction mode, namely through basic performance parameters of an engine prototype, and the EGR rate of the EGR system of the initial basic model under a certain working condition (for example, under a first working condition) is determined through simulation of the EGR virtual model, so that accurate reference parameters of the EGR system can be provided when the engine enters a test stage, and the research and development period of the engine is shortened.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
First, it is stated that the term "and/or" appearing herein is merely one type of associative relationship that describes an associated object, meaning that three types of relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The application provides an EGR rate prediction method as shown in FIG. 1, which is mainly applied to a stage of configuring a corresponding EGR system for an engine after basic performance parameters of the engine are preliminarily developed, and the method comprises the following steps:
step S11, constructing an initial basic model according to the first actual structure parameter of the engine and the second actual structure parameter of the EGR system; wherein the initial base model includes an engine virtual model and an EGR virtual model.
The engine in step S11 refers to an engine prototype that is preliminarily developed to determine basic performance parameters (the prototype referred to in this application may be a prototype that has already been produced, or may be a model that has already been subjected to basic performance simulation), and the engine prototype can realize basic functions. According to the first actual structure parameter of the engine, an engine virtual model is constructed, and the state parameter is input into the engine virtual model, so that the engine virtual model can simulate the action of the engine to generate corresponding state data.
The actual structure of the EGR system is basically the same, and as shown in fig. 2, it is a schematic diagram of the structure of the high-pressure EGR system. The EGR system includes an EGR valve, an EGR cooler, and a conduit connecting the EGR valve and the EGR cooler. An air inlet pipeline of the EGR valve is connected to a pipeline between an exhaust manifold and a turbine of the engine; an air outlet pipeline of the EGR valve is connected with an air inlet pipeline of the EGR cooler; the outlet duct of the EGR cooler is connected to the inlet of the inlet manifold of the engine.
A second actual configuration parameter of the EGR system may be determined based on the actual configuration of the EGR system. And constructing an EGR virtual model according to the second actual structure parameter of the EGR system. The input of state parameters to the EGR virtual model may cause the EGR virtual model to simulate EGR system behavior to produce corresponding state data.
Specifically, in the present application, the EGR virtual model is constructed according to the second actual structural parameter of the EGR system, and is constructed according to the physical characteristics determined by the length, diameter, resistance, etc. of each pipeline in the EGR system and the spatial distribution characteristics of the fluid (mainly referring to the exhaust gas discharged by the engine in the present application) in the pipeline with the physical characteristics, and the EGR virtual model can truly simulate the characteristics of the actual fluid flowing and distributing in the real EGR system. For example, the EGR virtual model provided by the application can simulate the flow change and distribution change of the fluid caused by the width change of the pipeline when the fluid flows through different pipelines. However, in the related art, the fluid distribution characteristic and the flow characteristic at a certain point of each pipe in the actual EGR system are only used as the fluid distribution characteristic and the flow characteristic at each position of all the pipes in the EGR system.
Therefore, the simulation of the EGR system in the application is not only embodied in the physical structure, but also embodied in the distribution characteristic and the flow characteristic of the fluid in the actual physical structure, so that the EGR virtual model can be closer to the state of the real EGR system, and the accuracy of the simulation result obtained according to the EGR virtual model can be improved.
Step S12, inputting a first basic performance parameter to the engine virtual model, and inputting a flow characteristic parameter and a pressure loss characteristic parameter to the EGR virtual model, so that the initial basic model is updated to the first basic model; the first basic performance parameter refers to an actual performance parameter of the engine corresponding to a first working condition selected from a plurality of working conditions of the engine; the flow characteristic parameter refers to an actual flow characteristic of the EGR system; the pressure loss characteristic parameter refers to an actual pressure loss characteristic of the EGR system.
The action of the engine in the actual operation process is very complicated, and in order to better explain the operation state of the engine, the operation state of the engine is described through working conditions. For example, the operating conditions of the engine may include idle, light load, medium load, heavy load, acceleration, and the like. When the working conditions of the engine are different, basic performance parameters of the engine can be greatly changed, for example, combustion parameters, air inlet temperature, pressure parameters, exhaust temperature, the number of pipeline heat exchange systems and the like under each working condition can be greatly changed.
For different working conditions of the engine, various parameters of the EGR system also need to change along with the change of the parameters of the engine. Therefore, the EGR system needs to meet different operating conditions of the engine.
The first basic performance parameter in step S12 is an actual performance parameter of the engine corresponding to a first operating condition selected from a plurality of operating conditions of the engine, and the first basic performance parameter is input to the virtual engine model, so that the virtual engine model simulates an operating state of the engine under the first operating condition, and an adaptive EGR system is configured for the engine simulation under the first operating condition. The first operating condition may be a typical one of a plurality of operating conditions of the engine.
When the engine virtual model is in the first working condition, the flow characteristic parameter and the pressure loss characteristic parameter are input into the EGR virtual model. The flow characteristic parameter refers to a flow characteristic of the EGR valve, which is determined when a structure of the EGR valve is determined. Typically, as the opening of the EGR valve increases, the flow of fluid through the EGR valve increases by a factor. The EGR virtual model comprises an EGR valve virtual submodel, and the EGR valve virtual submodel is obtained according to an EGR valve. The flow characteristic parameters of the EGR valve virtual submodel are parameters provided by an EGR valve supplier, the parameters are only reference parameters determined by the EGR valve supplier when the EGR valve is developed, and in the actual application process of the EGR valve, the flow characteristic parameters can generate some differences due to different input fluids.
The pressure loss characteristic parameter refers to the pressure loss characteristic of the EGR cooler, and when the structure of the EGR valve is determined, the pressure loss characteristic of the EGR valve is determined. Generally, the greater the fluid flow through the EGR cooler, the smaller the pressure loss of the EGR valve. The EGR virtual model comprises an EGR cooler virtual submodel, and the EGR cooler virtual submodel is obtained according to an EGR cooler. The pressure loss characteristic parameter of the EGR cooler virtual submodel is a parameter provided by an EGR cooler supplier, and the parameter is a reference parameter determined by the EGR cooler supplier when the EGR cooler is developed.
Due to the difference between the flow characteristic parameter and the pressure loss characteristic parameter, the first basic model formed by the EGR virtual model may have a large deviation or even an error in the simulation process.
Step S13 is to input each EGR valve opening degree parameter to the first basic model, so that the first basic model simulates operation under each EGR valve opening degree parameter, and determine each first EGR rate corresponding to each EGR valve opening degree parameter of the first basic model.
The first basic model obtained in step S12 is a preliminary model of the EGR system configured when the engine is in the first operating condition, and in order to determine the EGR virtual model matching the engine virtual model in the first basic model, parameters of the EGR virtual model need to be changed to determine parameters of the EGR system matching the first basic model. Step S13 solves the EGR rate of the first base model at each EGR valve opening parameter by changing the EGR valve opening parameter of the EGR virtual model in the first base model.
In the process of performing step S13, the EGR valve opening degree parameter that needs to be input to the first basic model may be determined according to design requirements. The EGR valve opening parameter may be determined in the same step, for example, 10, 20, 30, 40, etc.; the EGR valve opening parameter may also be determined in different steps, for example, 10 degrees, 30 degrees, 40 degrees, 45 degrees, 50 degrees, etc.
After a certain EGR valve opening parameter is input into the first basic model, the first basic model can simulate the motion state of the engine with the EGR system under the first working condition, and further can obtain a first EGR rate corresponding to the motion state. Each first EGR rate corresponding to each EGR valve opening parameter can be obtained for different EGR valve opening parameters.
Therefore, the EGR virtual model is established through a forward prediction mode, namely through basic performance parameters of an engine prototype, the EGR rate of the EGR system of the initial basic model under a certain working condition (for example, under a first working condition) is determined through simulation of the EGR virtual model, and then accurate reference parameters of the EGR system can be provided for the engine when the engine enters a test stage, so that the research and development period of the engine is shortened.
The first EGR rate of the EGR virtual model for each operating condition may be determined by steps S12 and S13 for various operating conditions of the engine. However, the time spent on solving the simulation process of the first EGR rate in steps S12 and S13 is relatively large, and the simulation significance lies in providing reference data for the later test stage of the engine, so that the simulation experiment can be performed only for part of typical working conditions, on one hand, the purpose of providing reference data for the later test stage of the engine can be achieved, and on the other hand, the simulation period can be saved.
After the step S12 and the step S13 are executed, and the first EGR rate under each operating condition is solved, it may be further determined whether the EGR virtual model in the first basic model matches the engine virtual model under the current operating condition according to the distribution of the first EGR rate under the same operating condition, specifically, as follows:
and step S21, acquiring each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter.
The EGR virtual model in the first base model is an original version of the EGR model with the engine virtual model in the first operating condition. The EGR virtual model needs to be matched with the engine virtual model, and needs to meet basic functional requirements and rules.
Generally, under the same working condition, the higher the EGR rate is, the fuel consumption of the engine under the current working condition shows a trend of first decreasing and then increasing.
Therefore, in step S21, first fuel consumption data corresponding to the EGR valve opening degree parameters of the first basic model are obtained.
Step S22, it is determined whether a relationship between each first fuel consumption data corresponding to the first basic model under each EGR valve opening parameter and each first EGR rate corresponding to the first basic model under each EGR valve opening parameter satisfies a first preset requirement.
The first fuel consumption data corresponding to the same EGR valve opening parameter corresponds to the first EGR rate corresponding to the same EGR valve opening parameter.
The first preset requirement is that the first oil consumption data of the virtual engine model shows a trend of decreasing and then increasing with the increase of the first EGR rate.
When the first preset requirement is not met, executing step S23; when the first preset requirement is satisfied, step S24 is executed.
Step S23, when the relation between each first fuel consumption data corresponding to the first basic model under each EGR valve opening parameter and each first EGR rate corresponding to the first basic model under each EGR valve opening parameter does not meet a first preset requirement, according to each first EGR rate, adjusting the first basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of the first basic model to obtain a second basic model, and determining each second EGR rate corresponding to the second basic model under each EGR valve opening parameter.
The first preset requirement is a basic requirement that the EGR virtual model is matched with the engine virtual model under the current working condition, and when the first preset requirement is not met, the constructed EGR virtual model has problems, possibly caused by the difference between the simulation process and the actual working process of the flow characteristic of the EGR valve and the pressure loss characteristic of the EGR cooler, so that the flow characteristic parameter and the pressure loss characteristic parameter of the EGR virtual model need to be determined again.
Further, since the motion state when the EGR system is mounted is influenced by the EGR system as compared with the motion state when the engine is operated alone, for example, the temperature of the air-fuel mixture in the engine (which means the temperature of the exhaust gas at the outlet of the intake manifold in fig. 2) is directly influenced by the temperature of the air-fuel mixture in the engine, and further directly influenced by the combustion, and is reflected in the combustion duration, the knock coefficient, and the like of the engine virtual model. Therefore, when the first basic model does not meet the first preset requirement, the first basic performance parameter of the engine virtual model is required to be adjusted so as to correct the influence of the engine virtual model on the EGR virtual model.
That is, when the first base model does not satisfy the first preset requirement, the first base performance parameter, the flow rate characteristic parameter, and the pressure loss characteristic parameter of the first base model need to be adjusted accordingly, and steps S12 and S13 are re-executed until the EGR system that can be matched with the virtual model of the engine under the first operating condition is determined, and then step S24 is continued.
Step S24, when the relation between each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter and each first EGR rate corresponding to the first basic model under each EGR valve opening parameter meets a first preset requirement, according to the universal characteristic test data of the engine, adjusting the first basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of the first basic model to obtain a third basic model, and determining each third EGR rate corresponding to the third basic model under each EGR valve opening parameter.
The parameters of the EGR system that can be matched to the virtual engine model under the first operating condition obtained in step S23 are determined based on a pure simulation. Since the simulation result is different from the actual test result, step S24 is performed to further improve the practicability and accuracy of each parameter of the EGR system.
And step S24, correcting and optimizing various parameters of the EGR system by combining the engine universal characteristic test data obtained in the test development stage, so as to further improve the accuracy of various parameters of the EGR virtual model.
Step S12, step S13, step S21 and step S24 are all determined and revised according to EGR system parameters of the engine under a single working condition. The EGR system parameters of step S12, step S13, step S21-step S24 can be determined and revised for each operating condition of the engine.
When the engine actually works, the engine cannot be always in a certain single working condition, but works alternately among a plurality of working conditions, so that the EGR system parameters which can be suitable for each working condition of the engine need to be further determined, and the specific steps are as follows:
step S31 of inputting fourth basic performance parameters to the engine virtual models of the plurality of initial basic models, respectively, and inputting flow rate characteristic parameters and pressure loss characteristic parameters to the EGR virtual models of the plurality of primary basic models, respectively, so that the plurality of initial basic models are updated to the fourth basic models, respectively; wherein, each fourth basic performance parameter refers to each actual performance parameter of the engine corresponding to a plurality of typical working conditions selected from a plurality of working conditions of the engine.
The engine working conditions are various, and the purpose of obtaining the parameters of the EGR system matched with the engine through the simulation of the EGR virtual model in the application is to provide guiding reference data for the later test stage of the engine, namely the obtained parameters of the EGR system in the application are only guiding reference data for the test stage of the engine, so that the simulation time is not too long.
Therefore, in order to save simulation time, the parameter determination of the EGR system is carried out by selecting a plurality of typical working conditions from all working conditions of the engine.
According to the selected multiple typical working conditions, basic performance data corresponding to the multiple typical working conditions are respectively input into each engine virtual model in the multiple initial basic models, so that each engine virtual model of the multiple initial basic models can respectively simulate the motion state of the engine under different working conditions. That is, step S31 is a process of executing step S12 a plurality of times, each time step S12 is executed for a different operating condition.
Step S32, inputting opening parameters of each EGR valve into each fourth basic model respectively, and determining each first highest EGR rate corresponding to each fourth basic model;
step S32 is similar to step S13, except that step S13 focuses on all of the first EGR rates obtained for the multiple EGR valve opening parameters under the same operating condition, and step S32 selects the largest EGR rate from all of the obtained first EGR rates as the first highest EGR rate under the corresponding operating condition.
In step S33, fourth pressure loss parameters corresponding to the fourth basic models when the corresponding first maximum EGR rates are reached are obtained.
When transversely comparing a plurality of typical working conditions, the basic conditions required to be met by the EGR virtual model capable of being matched with the engine virtual model under a plurality of working conditions are as follows: the larger the pressure loss of the EGR system is, the higher the EGR rate is under different working conditions, and the first highest EGR rate under each working condition is basically distributed between 20% and 30%.
Therefore, step S33 obtains the pressure loss parameter corresponding to the first highest EGR rate for each operating condition.
Step S34 is performed to determine whether or not the relationship between each fourth pressure loss parameter corresponding to each fourth basic model and each corresponding first maximum EGR rate satisfies the second preset requirement when each fourth basic model reaches each corresponding first maximum EGR rate.
The second preset requirement is that the larger the pressure loss of the EGR system is, the higher the EGR rate is, and the highest EGR rate under each working condition is basically distributed in the range of 20% -30%. Therefore, it is necessary to determine whether the EGR rate and the pressure loss parameter of each typical condition satisfy the second preset requirements.
When the second preset requirement is not satisfied, step S35 is performed, and when the second preset requirement is satisfied, step S36 is performed.
Step S35, when the relationship between each fourth pressure loss parameter corresponding to each fourth basic model when each fourth basic model reaches each corresponding first highest EGR rate and each corresponding first highest EGR rate does not satisfy the second preset requirement, adjusting the fourth basic performance parameter, the flow rate characteristic parameter and the pressure loss characteristic parameter of each fourth basic model according to each first highest EGR rate to obtain a fifth basic model, and determining each second highest EGR rate corresponding to each fifth basic model.
When the fourth basic models do not meet the second preset requirement, the constructed EGR virtual model has a problem, and therefore, the flow characteristic parameter and the pressure loss characteristic parameter of the EGR virtual model need to be determined again.
Further, since the motion state when the EGR system is mounted is influenced by the EGR system as compared with the motion state when the engine is operated alone, when the fourth basic model does not satisfy the second preset requirement, it is necessary to adjust the fourth basic performance parameter of the engine virtual model so as to correct the influence of the engine virtual model on the EGR virtual model.
That is, when each fourth basic model does not satisfy the second preset requirement, it is necessary to adjust each fourth basic performance parameter, the flow rate characteristic parameter, and the pressure loss characteristic parameter of each fourth basic model, and to re-execute steps S31 to S34 until an EGR system that can match the engine virtual model under each typical operating condition is determined, and to continue to execute step S36.
Step S36, when the relationship between each fourth pressure loss parameter corresponding to each fourth basic model when each fourth basic model reaches each corresponding first highest EGR rate and each corresponding first highest EGR rate meets a second preset requirement, according to the universal characteristic test data of the engine, adjusting the fourth basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of each fourth basic model to obtain a sixth basic model, and determining each third highest EGR rate corresponding to each sixth basic model.
The parameters of the EGR system that can be matched with the virtual engine model under various operating conditions obtained in step S35 are determined based on a pure simulation. Since the simulation result is different from the actual test result, step S36 is executed to further improve the accuracy of each parameter of the EGR system.
And step S36, correcting and optimizing various parameters of the EGR system by combining the engine universal characteristic test data obtained in the test development stage, so as to further improve the accuracy of various parameters of the EGR virtual model.
Step S21-step S24 and step S31-step S36 of the present application may be performed simultaneously, and the experimental data obtained in step S21-step S24 and step S31-step S36 may be shared. For example, steps S21 to S24 are parameters of the EGR virtual model determined for a single operating condition, and the EGR rates under the corresponding operating conditions obtained in steps S21 to S24 can be directly used in the process of executing steps S31 to S36, so that the repeated process can be avoided, and the simulation time can be saved.
By integrating the steps S21, S24 and S31 and S36, the EGR system parameters which can simultaneously meet the first preset requirement and the second preset requirement and are corrected according to the universal characteristic test data of the engine are used as guiding reference parameters of the engine in the test stage, so that the engine can quickly determine the parameters of the EGR system matched with the engine in the test stage, and the basic performance parameters of the engine can be finely adjusted according to the parameters of the EGR system, thereby shortening the research and development time of the engine.
According to the method and the device, the initial basic model is constructed through the actual structural parameters of the engine and the actual structural parameters of the EGR system, the performance parameters under different working conditions are input into the initial basic model, the EGR rate of the EGR system matched with the engine is positively predicted, the calibration range of effective parameters is further provided for the later stage test stage of the engine, and the development cycle of the engine is shortened.
Based on the same inventive concept, the present application provides an EGR rate prediction apparatus as shown in fig. 3, the apparatus including:
a first construction module 31 for constructing an initial base model based on a first actual structural parameter of the engine and a second actual structural parameter of the EGR system; wherein the initial base model comprises an engine virtual model and an EGR virtual model;
a first updating module 32, configured to input a first basic performance parameter to the engine virtual model, and input a flow characteristic parameter and a pressure loss characteristic parameter to the EGR virtual model, so that the initial basic model is updated to the first basic model; the first basic performance parameter refers to an actual performance parameter of the engine corresponding to a first working condition selected from a plurality of working conditions of the engine; the flow characteristic parameter refers to an actual flow characteristic of the EGR system; the pressure loss characteristic parameter refers to an actual pressure loss characteristic of the EGR system;
the first determining module 33 is configured to input each EGR valve opening parameter to the first base model, so that the first base model simulates operation under each EGR valve opening parameter, and determine each first EGR rate corresponding to the first base model under each EGR valve opening parameter.
Further, the apparatus further comprises:
the first obtaining module is used for obtaining each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter;
the first judgment module is used for judging whether the relation between each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter and each first EGR rate corresponding to the first basic model under each EGR valve opening parameter meets a first preset requirement or not;
the first adjusting module is used for adjusting the first basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of the first basic model according to each first EGR rate when the first basic model is under each EGR valve opening parameter and the relation between the first basic model and each first EGR rate corresponding to the first basic model under each EGR valve opening parameter does not meet a first preset requirement, so as to obtain a second basic model, and each second EGR rate corresponding to the second basic model under each EGR valve opening parameter is determined.
Further, the apparatus further comprises:
and the second adjusting module is used for adjusting the first basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of the first basic model according to the universal characteristic test data of the engine to obtain a third basic model and determining each third EGR rate corresponding to the third basic model under each EGR valve opening parameter when the relation between each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter and each first EGR rate corresponding to the first basic model under each EGR valve opening parameter meets a first preset requirement.
Further, the apparatus further comprises:
a second updating module, configured to input each fourth basic performance parameter to each engine virtual model in the multiple initial basic models, and input a flow characteristic parameter and a pressure loss characteristic parameter to each EGR virtual model in the multiple initial basic models, so that the multiple initial basic models are updated to the fourth basic models, respectively; each fourth basic performance parameter refers to each actual performance parameter of the engine corresponding to a plurality of typical working conditions selected from a plurality of working conditions of the engine;
the second determining module is used for inputting the opening degree parameters of the EGR valves to the fourth basic models respectively and determining the first highest EGR rates corresponding to the fourth basic models respectively;
the second obtaining module is used for obtaining each fourth pressure loss parameter corresponding to each fourth basic model when the corresponding first highest EGR rate is reached;
the second judging module is used for judging whether the relationship between each corresponding fourth pressure loss parameter and each corresponding first highest EGR rate of each fourth basic model when each corresponding first highest EGR rate is reached meets a second preset requirement or not;
and the third adjusting module is used for adjusting the fourth basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of each fourth basic model according to each first highest EGR rate when the relationship between each corresponding fourth pressure loss parameter and each corresponding first highest EGR rate of each fourth basic model when each fourth basic model reaches each corresponding first highest EGR rate does not meet a second preset requirement so as to obtain a fifth basic model, and determining each second highest EGR rate corresponding to each fifth basic model.
Further, the apparatus further comprises:
and the fourth adjusting module is used for adjusting the fourth basic performance parameters, the flow characteristic parameters and the pressure loss characteristic parameters of each fourth basic model according to the universal characteristic test data of the engine when the relationship between each corresponding fourth pressure loss parameter and each corresponding first highest EGR rate of each fourth basic model when each fourth basic model reaches each corresponding first highest EGR rate meets a second preset requirement so as to obtain a sixth basic model, and determining each third highest EGR rate corresponding to each sixth basic model.
Based on the same inventive concept, the present application provides an electronic device as shown in fig. 4, including:
a processor 41;
a memory 42 for storing instructions executable by the processor 41;
wherein processor 41 is configured to execute to implement an EGR rate prediction method.
Based on the same inventive concept, the present application provides a non-transitory computer-readable storage medium, wherein instructions, when executed by a processor 41 of an electronic device, enable the electronic device to perform a method of EGR rate prediction.
Since the electronic device described in this embodiment is an electronic device used for implementing the method for processing information in this embodiment, a person skilled in the art can understand the specific implementation manner of the electronic device of this embodiment and various variations thereof based on the method for processing information described in this embodiment, and therefore, how to implement the method in this embodiment by the electronic device is not described in detail here. Electronic devices used by those skilled in the art to implement the method for processing information in the embodiments of the present application are all within the scope of the present application.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A method of predicting an EGR rate, the method comprising:
constructing an initial basic model according to a first actual structural parameter of the engine and a second actual structural parameter of the EGR system; wherein the initial base model comprises an engine virtual model and an EGR virtual model;
inputting a first basic performance parameter to the engine virtual model, and inputting a flow characteristic parameter and a pressure loss characteristic parameter to the EGR virtual model, so that the initial basic model is updated to a first basic model; the first basic performance parameter refers to an actual performance parameter of the engine corresponding to a first working condition selected from a plurality of working conditions of the engine; the flow characteristic parameter refers to an actual flow characteristic of the EGR system; the pressure loss characteristic parameter refers to actual pressure loss characteristics of the EGR system;
and inputting each EGR valve opening parameter into the first basic model, so that the first basic model simulates operation under each EGR valve opening parameter, and determining each corresponding first EGR rate of the first basic model under each EGR valve opening parameter.
2. The method of claim 1, wherein the method further comprises:
acquiring each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter;
judging whether the relation between each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter and each first EGR rate corresponding to the first basic model under each EGR valve opening parameter meets a first preset requirement or not;
when the first basic model is in each first oil consumption data that corresponds under the EGR valve opening parameter, with the first basic model is in each corresponding under the EGR valve opening parameter each relation between the first EGR rate does not satisfy when first predetermineeing the requirement, according to each first EGR rate, adjust first basic model first basic performance parameter flow characteristic parameter and pressure loss characteristic parameter to obtain second basic model, confirm second basic model is in each corresponding each second EGR rate under the EGR valve opening parameter.
3. The method of claim 2, wherein the method further comprises:
when first basic model is in each first oil consumption data that EGR valve openness parameter corresponds down, with first basic model is in each corresponding each under EGR valve openness parameter relation between the first EGR rate satisfies when first predetermineeing the requirement, according to the universal characteristic test data of engine, adjust first basic model first basic performance parameter flow characteristic parameter and pressure loss characteristic parameter to obtain third basic model, confirm third basic model is in each third EGR rate that EGR valve openness parameter corresponds down.
4. The method of claim 1, wherein the method further comprises:
inputting a fourth basic performance parameter to each of the engine virtual models in the plurality of initial basic models, and inputting the flow rate characteristic parameter and the pressure loss characteristic parameter to each of the EGR virtual models in the plurality of primary basic models, so that each of the plurality of initial basic models is updated to a fourth basic model; each fourth basic performance parameter refers to each actual performance parameter of the engine corresponding to a plurality of typical working conditions selected from a plurality of working conditions of the engine;
inputting the opening degree parameters of the EGR valves into the fourth basic models respectively, and determining the first highest EGR rates corresponding to the fourth basic models respectively;
obtaining each fourth pressure loss parameter corresponding to each fourth basic model when each fourth basic model reaches the corresponding first highest EGR rate;
judging whether the relationship between each corresponding fourth pressure loss parameter and each corresponding first highest EGR rate of each fourth basic model when each corresponding fourth basic model reaches each corresponding first highest EGR rate meets a second preset requirement or not;
when the relationship between each fourth pressure loss parameter corresponding to each fourth basic model when each fourth basic model reaches each corresponding first maximum EGR rate and each corresponding first maximum EGR rate does not satisfy the second preset requirement, the fourth basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of each fourth basic model are adjusted according to each first maximum EGR rate to obtain a fifth basic model, and each second maximum EGR rate corresponding to each fifth basic model is determined.
5. The method of claim 4, wherein the method further comprises:
when the relationship between each fourth pressure loss parameter corresponding to each fourth basic model and each corresponding first highest EGR rate when each fourth basic model reaches each corresponding first highest EGR rate meets the second preset requirement, the fourth basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of each fourth basic model are adjusted according to the universal characteristic test data of the engine to obtain a sixth basic model, and each third highest EGR rate corresponding to each sixth basic model is determined.
6. An EGR rate prediction apparatus, characterized by comprising:
the first construction module is used for constructing an initial basic model according to a first actual structure parameter of the engine and a second actual structure parameter of the EGR system; wherein the initial base model comprises an engine virtual model and an EGR virtual model;
a first updating module, configured to input a first basic performance parameter to the engine virtual model, and input a flow characteristic parameter and a pressure loss characteristic parameter to the EGR virtual model, so that the initial basic model is updated to a first basic model; the first basic performance parameter refers to an actual performance parameter of the engine corresponding to a first working condition selected from a plurality of working conditions of the engine; the flow characteristic parameter refers to an actual flow characteristic of the EGR system; the pressure loss characteristic parameter refers to actual pressure loss characteristics of the EGR system;
the first determining module is used for inputting each EGR valve opening parameter into the first basic model, enabling the first basic model to perform simulation operation under each EGR valve opening parameter, and determining each first EGR rate corresponding to the first basic model under each EGR valve opening parameter.
7. The apparatus of claim 6, wherein the apparatus further comprises:
the first obtaining module is used for obtaining each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter;
the first judgment module is used for judging whether the relation between each first oil consumption data corresponding to the first basic model under each EGR valve opening parameter and each first EGR rate corresponding to the first basic model under each EGR valve opening parameter meets a first preset requirement or not;
the first adjusting module is used for adjusting the first basic performance parameter, the flow characteristic parameter and the pressure loss characteristic parameter of the first basic model according to the first EGR rate when the first basic model is positioned at each first oil consumption data corresponding to the EGR valve opening parameter and the first basic model is positioned at each corresponding first EGR rate corresponding to the EGR valve opening parameter and the relation between the first EGR rates is not satisfied when the first preset requirement is met, and determining the second basic model is positioned at each second EGR rate corresponding to the EGR valve opening parameter.
8. The apparatus of claim 7, wherein the apparatus further comprises:
the second adjustment module is used for adjusting the first basic performance parameter of the first basic model, the flow characteristic parameter and the pressure loss characteristic parameter according to the universal characteristic test data of the engine when the first basic model is in each first oil consumption data corresponding to the EGR valve opening parameter and the first basic model is in each corresponding first EGR rate corresponding to the EGR valve opening parameter, so as to obtain a third basic model, and the third basic model is in each third EGR rate corresponding to the EGR valve opening parameter.
9. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute to implement an EGR rate prediction method as recited in any of claims 1-5.
10. A non-transitory computer readable storage medium having instructions therein which, when executed by a processor of an electronic device, enable the electronic device to perform implementing an EGR rate prediction method as claimed in any one of claims 1 to 5.
CN202010948029.8A 2020-09-10 2020-09-10 EGR rate prediction method, device, equipment and medium Active CN112182744B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010948029.8A CN112182744B (en) 2020-09-10 2020-09-10 EGR rate prediction method, device, equipment and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010948029.8A CN112182744B (en) 2020-09-10 2020-09-10 EGR rate prediction method, device, equipment and medium

Publications (2)

Publication Number Publication Date
CN112182744A true CN112182744A (en) 2021-01-05
CN112182744B CN112182744B (en) 2022-11-04

Family

ID=73920399

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010948029.8A Active CN112182744B (en) 2020-09-10 2020-09-10 EGR rate prediction method, device, equipment and medium

Country Status (1)

Country Link
CN (1) CN112182744B (en)

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120304640A1 (en) * 2011-06-06 2012-12-06 Nissan Motor Co., Ltd. Exhaust gas recirculation system for an internal combustion engine
JP2017078384A (en) * 2015-10-22 2017-04-27 いすゞ自動車株式会社 Prediction method for egr gas flow amount, and engine
CN109209659A (en) * 2018-09-12 2019-01-15 深圳环境能源研究院有限公司 A kind of EGR rate update the system and method based on internal combustion engine charge factor
CN109653906A (en) * 2019-01-28 2019-04-19 东风汽车集团有限公司 Gasoline engine with supercharger exhaust gas recirculation system device
CN109858136A (en) * 2019-01-26 2019-06-07 新奥数能科技有限公司 A kind of determination method and apparatus of gas fired-boiler efficiency
CN110261123A (en) * 2019-05-15 2019-09-20 西安理工大学 The research method that EGR rate and EGR exhaust temperature influence diesel emission
US20200064229A1 (en) * 2018-08-27 2020-02-27 Hyundai Motor Company Engine virtual test environment system and engine management system mapping method
CN111042956A (en) * 2019-12-26 2020-04-21 潍柴动力股份有限公司 EGR flow fault judgment method, device and equipment
CN111125896A (en) * 2019-12-13 2020-05-08 苏州同元软控信息技术有限公司 Modelica-based immersed pump virtual prototype model library construction method and device
CN111255580A (en) * 2018-11-30 2020-06-09 长城汽车股份有限公司 Control strategy for engine with low pressure EGR system and vehicle

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120304640A1 (en) * 2011-06-06 2012-12-06 Nissan Motor Co., Ltd. Exhaust gas recirculation system for an internal combustion engine
JP2017078384A (en) * 2015-10-22 2017-04-27 いすゞ自動車株式会社 Prediction method for egr gas flow amount, and engine
US20200064229A1 (en) * 2018-08-27 2020-02-27 Hyundai Motor Company Engine virtual test environment system and engine management system mapping method
CN109209659A (en) * 2018-09-12 2019-01-15 深圳环境能源研究院有限公司 A kind of EGR rate update the system and method based on internal combustion engine charge factor
CN111255580A (en) * 2018-11-30 2020-06-09 长城汽车股份有限公司 Control strategy for engine with low pressure EGR system and vehicle
CN109858136A (en) * 2019-01-26 2019-06-07 新奥数能科技有限公司 A kind of determination method and apparatus of gas fired-boiler efficiency
CN109653906A (en) * 2019-01-28 2019-04-19 东风汽车集团有限公司 Gasoline engine with supercharger exhaust gas recirculation system device
CN110261123A (en) * 2019-05-15 2019-09-20 西安理工大学 The research method that EGR rate and EGR exhaust temperature influence diesel emission
CN111125896A (en) * 2019-12-13 2020-05-08 苏州同元软控信息技术有限公司 Modelica-based immersed pump virtual prototype model library construction method and device
CN111042956A (en) * 2019-12-26 2020-04-21 潍柴动力股份有限公司 EGR flow fault judgment method, device and equipment

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
HU MING-JIANG等: "On-Line Predicting Diesel Engine EGR Rate Based on Chaos-Neural Networks", 《2010 SIXTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC 2010)》 *
苗瑞刚等: "发动机EGR率均匀分配研究及优化", 《南方农机》 *
邹轲等: "柴油机高低压EGR系统模拟分析", 《汽车科技》 *

Also Published As

Publication number Publication date
CN112182744B (en) 2022-11-04

Similar Documents

Publication Publication Date Title
Nikzadfar et al. An extended mean value model (EMVM) for control-oriented modeling of diesel engines transient performance and emissions
JP6404909B2 (en) How to calculate the output model of a technical system
EP1834219B1 (en) Evaluation device for control system, method for evaluating control system, and computer program used therein
Abbas et al. Robustness-guided temporal logic testing and verification for stochastic cyber-physical systems
US10539083B2 (en) Method and system for determining engine operation parameter values during a gear shift operation
CN101611357A (en) The method that is used for simulating engine operation
CN113673089B (en) Engine performance determining method and device and electronic equipment
CN108762110A (en) A kind of electric controlled motorcycle engine matching and calibration method meeting IV standard of state
CN112257276A (en) Real-time virtual calibration system of engine and simulation modeling method thereof
US10787982B2 (en) System and method for calibrating a vehicle component
CN113283039B (en) Engine exhaust system optimization method, device, medium and electronic equipment
Barasa et al. Virtual engine, controls, and calibration development in automated co-simulation environment
CN112182744B (en) EGR rate prediction method, device, equipment and medium
KR20200129803A (en) Method for Optimizing Engine Management System Mapping Based On Real Road Virtual Driving Environment and Engine Virtual Test Environment System thereof
Cosadia et al. Traversing the V-Cycle with a Single Simulation-Application to the Renault 1.5 dCi Passenger Car Diesel Engine
JP4192803B2 (en) Engine performance prediction analysis method, prediction analysis system and control program thereof
Macek et al. Transient Engine Model as a Tool for Predictive Control
JP4192804B2 (en) Engine performance prediction analysis method, prediction analysis system and control program thereof
Kouba et al. Sensorless control strategy enabled by a sophisticated tool chain
Delagrammatikas et al. Development of a neural network model of an advanced, turbocharged diesel engine for use in vehicle-level optimization studies
EP3819489A1 (en) System and method for emissions determination
Vrublevskyi et al. Development of a method for finding the optimal solution when upgrading a motorcycle engine
Fukuhara et al. 2 MBCI
US11520964B1 (en) Method and system for assertion-based formal verification using unique signature values
CN116242616A (en) High-pressure EGR valve simulation model, construction method and calibration method thereof

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant