Search

CN-116627050-B - Engine twin model modeling system and modeling method

CN116627050BCN 116627050 BCN116627050 BCN 116627050BCN-116627050-B

Abstract

The invention discloses an engine twin model modeling system and a modeling method, which belong to the technical field of engineering machinery, wherein the system comprises a sample model, a server and an engine twin model, and the server is used for carrying out real-time interaction with data on the sample model; the engine twin model is a virtual twin body of an actual engine and runs in real time along with the actual engine, the time for calculating one working cycle of the engine is smaller than the time for actually working one working cycle of the engine, and the engine twin model comprises a parameter input module, a parameter output module and a solving module. The invention realizes the real-time data interaction of the engine physical object and the engine twin model, and the two coexist and affect each other, the engine twin model can realize the performance simulation of the whole life cycle of the engine in the construction process of the engineering machinery, and the engine parameter analysis, the fault analysis and the parameter intelligent control are developed in the whole process, thereby having great significance for the intelligent construction of the engineering machinery.

Inventors

  • TANG QIJUN
  • XU XIANG
  • REN KAI
  • CHEN TAO
  • XIE XINYAN
  • JIANG TA
  • ZHANG DAQING

Assignees

  • 湖南农业大学

Dates

Publication Date
20260508
Application Date
20230516

Claims (9)

  1. 1. The engine twin model modeling system is characterized by comprising a sample machine, a server and an engine twin model; the sample machine is a rotary drilling rig and a carried diesel engine; be provided with multiple sensor, controller, data acquisition ware, data transmitter and data receiver on the rotary drilling rig, wherein: the data acquisition device acquires parameters on the sample machine, wherein one part of the parameters are directly acquired from the CAN bus, and the other part of the parameters are directly connected with the sensor for acquisition; The server is used for carrying out real-time interaction with the data on the sample machine and is provided with an operation environment of an engine twin model; The engine twin model is a virtual twin body of an actual engine, runs along with the actual engine in real time, and calculates the time of one working cycle to be less than the time of one working cycle of the actual engine; the engine twin model comprises a parameter input module, a parameter output module and a solving module, wherein: The parameter input module has data analysis and data processing capabilities, and is used for inputting initial data of an engine twin model, wherein the initial data are parameters acquired from a sample machine and comprise engine rotation speed, air inlet pressure, temperature, exhaust temperature, pressure, excess air coefficient and pollutant measurement; the parameter output module is used for outputting engine performance parameters obtained by simulating the twin engine model, so as to realize data display and storage; the solving module comprises a ventilation process simulation module, an exhaust waste heat energy simulation module, an emission parameter simulation module, a heat transfer process simulation module, a thermal power conversion process simulation module, a mechanical loss simulation module and a performance parameter simulation module, wherein: the ventilation process simulation module is used for calculating fresh air inlet flow and EGR flow according to air inlet pressure, temperature, rotating speed and accelerator opening, and calculating total energy of fuel according to fuel flow; the exhaust waste heat energy simulation module is used for calculating exhaust waste heat energy and waste heat energy duty ratio according to exhaust temperature and flow; The emission parameter simulation module is used for calculating specific emission and combustion efficiency according to the air inflow, the oil injection quantity and the pollutant volume emission; the heat transfer process simulation module is used for calculating heat dissipation of a cooling system, heat dissipation of lubricating oil, heat dissipation of a cylinder body and system heat storage; The thermal power conversion process simulation module is used for obtaining the indicating performance parameters of the engine; the mechanical loss simulation module is used for calculating the mechanical loss according to the rotation speed of the engine and the opening degree of the accelerator; The performance parameter simulation module is used for calculating engine power performance parameters according to the engine speed and torque ratio and calculating economic performance parameters according to the fuel quantity and the engine working condition.
  2. 2. The engine twin model modeling system as defined in claim 1, wherein the parameters collected from the CAN bus include engine speed, fuel injection, torque percentage, intake pressure and temperature, and the parameters collected in connection with the sensor include exhaust pressure, temperature, excess air ratio, and pollutants.
  3. 3. The engine twin model modeling system as defined in claim 1, wherein the sensor comprises an engine speed sensor, an intake pressure sensor, a temperature sensor, an exhaust temperature sensor, a pressure sensor, an exhaust oxygen sensor, and a pollutant measurement sensor.
  4. 4. The modeling system of the engine twin model of claim 1, wherein the controller comprises a master controller and a slave controller, the master controller is responsible for processing signals of the sensor, the display screen and the switch component, the slave controller is connected with the actuator through a CAN bus, and signals of the engine, the hydraulic pressure and the machine body position sensor are accessed through the CAN bus.
  5. 5. The engine twin model modeling system as defined in claim 4, wherein the data transmitter transmits the data to the Internet via a 5G signal, and the server directly reads the Ethernet data transmitted by the data transmitter.
  6. 6. The system of claim 5, wherein the data receiver receives 5G signal data and transmits the signal to the actuator to control the prototype construction.
  7. 7. An engine twin model modeling method, which is characterized by being applied to the modeling system of any one of claims 1-6, comprising the following steps: S1, acquiring key parameters of a sample machine in real time through a plurality of sensors and a CAN bus; s2, preprocessing transient data of a sample machine; S3, running an engine twin model capable of realizing digital twin; s4, completing self-adaptive regulation and control of a simulation process of the sample machine; and S5, completing state evaluation and control strategy feedback of the sample machine.
  8. 8. The method for modeling an engine twin model according to claim 7, wherein the step S2 comprises the following steps: s2.1, converting data based on engine time into data based on engine cycle, wherein one working cycle of the engine corresponds to one group of acquired data, and calculating the time t required by one working cycle of the engine by using the following formula: Wherein n is the engine speed, delta is related to the engine stroke, delta is 2 when the engine stroke is four strokes, delta is 1 when the engine stroke is two strokes, if the data amount acquired by a certain parameter in time is more than one, the data amount is reduced, if the certain parameter needs multiple time to acquire one data, interpolation processing is carried out on the two acquired data, so that each time corresponds to one data, namely the data amount is filled, and after the processing, each engine working cycle corresponds to one value, one time and one number; and S2.2, finishing the display of key parameters of the engine and the pretreatment of initial data of the engine model.
  9. 9. The method for modeling an engine twin model according to claim 8, wherein the step S3 comprises the following steps: s3.1, calculating parameters including air intake flow, charge coefficient and EGR flow by using a ventilation process simulation module, wherein the actual air intake flow of the engine is calculated as follows: in the formula, Is the flow rate of the intake air, Is the back pressure of the air compressor, Is the coefficient of charge of the engine, Is the displacement of the engine and, Is the number of cylinders of the engine, Is the gas constant of air and is used for the air, Is the intake manifold temperature, wherein the charge coefficient is calculated as follows: in the formula, The method comprises the steps that the opening degree of an accelerator pedal of an engine is a, b, c, d, e, and the coefficient to be determined is obtained through fitting engine bench test data; S3.2, calculating by using an exhaust waste heat energy simulation module to obtain parameters comprising the exhaust waste heat energy and the waste heat energy duty ratio of the engine, wherein the exhaust waste heat energy of the engine is calculated according to the exhaust flow, the exhaust temperature and the constant pressure specific heat capacity, and the calculation formula is as follows: in the formula, In order to pass the engine exhaust gas flow rate, And The constant pressure specific heat capacities of an exhaust valve outlet of the engine and the ambient atmosphere are respectively obtained, And The temperature of the exhaust valve outlet of the engine and the temperature of the ambient atmosphere respectively; S3.3, calculating the flow of the oxynitride, the hydrocarbon and the carbon monoxide by using an emission pollutant simulation module, wherein the calculation formula is as follows: ( + ) ( + ) ( + ) in the formula, 、 、 The flow rates of oxynitride, hydrocarbon and carbon monoxide are respectively expressed in g/h; 、 、 The volume fractions of oxynitride, hydrocarbon and carbon monoxide are respectively expressed in ppm; Is the fuel flow; The combustion efficiency is calculated by the pollutants that are not completely combusted, and the calculation formula is as follows: in the formula, 、 、 、 Respectively representing fuel oil flow, hydrocarbon flow, carbon monoxide flow and hydrogen flow; 、 、 、 Respectively representing fuel low heat value, hydrocarbon low heat value, carbon monoxide low heat value and hydrogen low heat value, and calculating to obtain energy released by fuel and energy lost by unburned by using fuel flow and fuel low heat value and combustion efficiency; S3.4, calculating heat transfer loss of the engine by using a heat transfer process simulation module, wherein the heat of the heat transfer loss of the engine comprises the following calculation formulas of heat dissipation of a cooling system, heat dissipation of lubricating oil, heat dissipation of a cylinder body, heat storage of a system and heat dissipation of the cooling system: in the formula, For the flow of the engine coolant through the engine, And The inlet constant pressure specific heat capacity and the outlet constant pressure specific heat capacity of the engine coolant are respectively, And The temperature of the inlet and the temperature of the outlet of the engine cooling liquid are respectively; the total heat transfer loss calculation formula is as follows: in the formula, M and n are undetermined coefficients for the total heat transfer loss, and the undetermined coefficients are obtained by fitting engine bench test data; s3.5, utilizing a thermal power conversion process simulation module to obtain parameters including indicated power, indicated torque, indicated average pressure, indicated thermal efficiency and indicated fuel consumption rate; the heat corresponding to the indicated power converted from the engine thermal power process is calculated as follows: in the formula, For combustion efficiency of incompletely combusted contaminants, Heat corresponding to fuel consumption power; s3.6, calculating parameters including mechanical loss power, average mechanical loss pressure and mechanical efficiency by using a mechanical loss simulation module, wherein the mechanical loss simulation module comprises friction loss and accessory power consumption, and the work of the friction loss is calculated as follows: in the formula, A, B, C, D, E is a coefficient to be determined for the work of the friction loss of the engine, and the coefficient to be determined is obtained by fitting engine bench test data; S3.7, calculating parameters including the effective power and the effective torque of the engine by using an effective performance parameter simulation module, wherein the calculation formula is as follows: in the formula, Is the effective power of the engine and, For the effective torque of the engine, The external characteristic torque of the current rotating speed of the engine is obtained by interpolation of the external characteristic torque and the current rotating speed, The engine torque percentage is obtained through CAN bus reading; and S3.8, model checking is realized in a loop through software and hardware.

Description

Engine twin model modeling system and modeling method Technical Field The invention relates to the technical field of engineering machinery, in particular to an engine twin model modeling system and an engine twin model modeling method. Background The engineering machinery plays an important role in the fields of road construction, large engineering construction maintenance, national defense construction, energy development and the like. In recent years, engineering machinery has been developed more rapidly in terms of intelligence and digitization. Various products such as intelligent excavators, rotary drilling rigs and loaders are developed in the field of engineering machinery. The simulation technology is most widely applied in the research, design, production and use processes of engineering machinery products. According to the simulation scale, the method can be divided into cloud computing simulation, common computer simulation and edge computing simulation, and according to the application field, the method can be divided into structural simulation, motion simulation, control strategy simulation, performance simulation and the like. Cloud computing simulation is a recent research hotspot, and the use of cloud computing depends on system infrastructure and applications. The common computer simulation is the most widely applied simulation technology in the last decades, plays an important role in various fields, and is generally complex in simulation model, long in calculation time and high in precision. The edge calculation is a novel simulation means combining on-line simulation in recent years, has limited calculation capacity and high development cost, and is characterized by real-time simulation. The Michael professor of university of Michigan in the United states in 2002 provides a digital twin concept based on product life cycle management, the national defense department in the United states in 2010 firstly utilizes a digital twin technology to develop the health maintenance and guarantee of the aerospace craft, and the digital twin research group of the university of Beijing aviation aerospace in 2017 publishes a national first record twin article. The digital twin can energize the technology or the concept of the intelligent manufacturing, the industry 4.0, the industry internet, the smart city, the airport operation and the like, and is concerned by various industries of higher institutions, enterprises, scientific research institutions and the like, so that the digital twin becomes a hot research problem in recent years. Along with the continuous popularization of the digital twin technology application, the digital twin technology is expected to be applied and popularized in engineering machinery products, and the energy conservation and emission reduction of the engineering machinery products are realized through informatization, datamation and intelligent control. However, the main problems existing in the current engineering machinery engine performance simulation are as follows: (1) At present, most of performance simulation aiming at an engine adopts numerical solution methods such as a finite element method, a finite difference method, a finite volume method and the like, so that the calculation amount is large, the time consumption is long, the twin process can not be realized, and the modeling method of the digital twin model of the engine in the construction process of the engineering machinery is not mature; (2) The traditional engine simulation model checking process only checks part of working conditions once, and the accuracy of the model cannot be ensured after the working conditions or boundary conditions are changed. The digital twin model requires the whole working condition range to be calibrated, and even the engine model is also calibrated again along with the increase of the service life; (3) The parameter control of the traditional engineering machinery engine depends on calibration, and after the calibration is completed, the parameter control strategy in the engine ECU can not be modified. But the digital twinning requires that the control strategy of the engine can be optimized throughout the life cycle. Based on the modeling, the invention provides an engine twin model modeling system and an engine twin model modeling method. Disclosure of Invention The invention provides an engine twin model modeling system and an engine twin model modeling method aiming at the defects existing in the prior art. The technical scheme for solving the technical problems is as follows: In a first aspect, the present invention provides an engine twin model modeling system. An engine twin model modeling system comprises a sample model, a server and an engine twin model; the sample machine is a rotary drilling rig and a carried diesel engine; be provided with multiple sensor, controller, data acquisition ware, data transmitter and data receiver on the rotary drilling machine, wherein: