373 results about "Joint simulation" patented technology

The invention relates to an oil bearing carrying capacity evaluation method based on virtual simulation, and the method comprises the steps: obtaining working condition data samples of an oil bearing in a plurality of typical operation states under a complex working condition of a composite load, and carrying out the marking of bearing structure partitions, so as to build a working condition partition mapping table; establishing a multi-physics field sensitive area identification model for each partition, and performing dynamic parameter adjustment on the global finite element model and the local high-precision infinitesimal sub-model by using a multi-physics field coupling calibration factor; and performing time sequence feature extraction on a multi-physical field joint simulation result after dynamic parameter adjustment to obtain a multi-dimensional parameter sequence related to the typical failure mechanism of the oil bearing.

The invention provides a pipe jacking construction digital twinning optimization system and method based on high-precision physical simulation, and relates to the technical field of underground pipe network pipe jacking construction. Construction data of multiple physical entities during pipe jacking construction are collected in real time through a physical simulation engine module and then transmitted to an established digital twin model, virtual mapping synchronously updated with the construction data of the physical entities is established, and an optimization and decision module optimizes construction parameters by adopting a joint simulation algorithm fusing finite element analysis (FEA) and computational fluid dynamics (CFD), so that the construction parameters are optimized. The construction feedback module realizes automatic parameter adjustment based on PLC control according to optimized construction parameters, the analysis report module analyzes time sequence data and generates a construction efficiency evaluation report, a stress concentration area is accurately simulated, the simulation precision is improved, high synchronization of a virtual model and physics is realized, and the precision and real-time performance of system execution are improved.

A joint simulation and operation operability evaluation method based on wind power operation and maintenance ship motion dynamic response and active compensation gangway ladder motion control comprises the steps that an operation and maintenance ship frequency domain seakeeping model is built, and a hydrodynamic coefficient library is calculated; wave exciting force is reconstructed based on a Cummins time domain motion equation, and ship motion response prediction is realized by adopting implicit generalized alpha time domain composite integral; the dynamic positioning system extracts low-frequency motion through a Kalman filter and optimizes thruster thrust distribution to stabilize the position of the ship. A gangway ladder dynamic model is established based on a Lagrange equation, real-time control over displacement, speed and acceleration of the top end of the gangway ladder is achieved through a feedforward-feedback composite control strategy, and nonlinear output of a hydraulic actuator is optimized. And realizing joint simulation of the coupling system through time domain synchronization and self-adaptive PID (Proportion Integration Differentiation) control. And checking gangway ladder movement based on a preset threshold value and a space boundary condition, and evaluating the operability of the climbing operation. According to the method, the limitation of traditional single-disciplinary analysis is broken through, and the forecasting precision of wind power operation and maintenance operation operability is effectively improved.

The invention relates to the technical field of automobile chassis simulation, and discloses an automobile chassis mechanism simulation optimization method based on digital twinning. The method comprises the following steps: firstly, acquiring a real-time operation data set of an automobile chassis mechanism, including multi-axis acceleration time sequence information, a suspension displacement monitoring sequence and the like, and synchronously transmitting the real-time operation data set to a cloud digital twin platform; constructing a hierarchical digital twin model comprising a suspension subsystem node, a steering mechanism node and a connecting component spatial constraint relation in the platform according to a chassis topological structure; performing multi-physics field feature extraction on the real-time operation data set to generate a chassis multi-physics field data set; executing multi-scale joint simulation calculation based on the model and the data set, and outputting a chassis dynamic response prediction result including fatigue damage distribution of the key connecting piece and the like; and finally, generating an optimization parameter adjustment instruction set according to the result, combining and feeding back to a physical chassis execution mechanism. According to the method, the real-time performance and precision of chassis simulation optimization are realized, and the chassis performance is improved.

The invention discloses a diastrophic stratum deformation analysis and calculation method for an active fault zone, and relates to the technical field of geological engineering calculation, and the method comprises the following steps: (1) constructing a three-field dynamic coupling model based on an energy density gradient, and unifying dimensions of physical parameters of a mechanical field, a seepage field and a temperature field as an energy density function; according to the diastrophic stratum deformation analysis and calculation method for the active fault zone, the problems of multi-physical field splitting and time scale solidification in a traditional method are solved by constructing an energy-mediated multi-field dynamic coupling model and a space-time decoupling algorithm. On the basis of an interaction path of energy density gradient tensor unified mechanics, seepage and temperature fields, instantaneous bidirectional feedback of three-field parameters is achieved, compared with a traditional model, the pore pressure prediction error is reduced, and the calculation efficiency is improved; and meanwhile, the joint simulation efficiency of the second-level seismic event and the ten-thousand-year tectonic motion is improved, the interface parameter continuity error is controlled, and the precision and stability of cross-scale modeling are improved.

The invention discloses a conversion method and system based on SysML and Modelica model semantic mapping. The method comprises the following steps that S1, a Modelica standard model library is imported into a SysML modeling tool; s2, completing the definition of behavior elements, and forming an SysML model instance; s3, exporting a Modelica model which can be executed by the Modelica simulator; s4, establishing a mapping relation table between SysML model elements and Modelica model elements; s5, when a change event occurs in the SysML model, updating the content of the corresponding Modelica model; s6, the Modelica model is imported into the SysML model, and a corresponding SysML model instance is generated; s7, simulation result mapping and behavior modeling generation are executed, a state transition diagram structure is formed, and structure updating of internal block diagrams in the system model is completed. According to the method, bidirectional conversion and joint simulation optimization between models are realized, and the method is suitable for cross-platform modeling, collaborative design and functional verification scenes of a complex system.

The invention discloses a fuel cell system modeling and control-oriented joint simulation design method, which comprises the following steps of: based on an electrochemical and heat transfer mechanism, dividing an electric pile into a plurality of nodes along a reaction gas flowing direction by adopting a distributed parameter method, and establishing a one-dimensional solid oxide fuel cell dynamic model by applying a multi-field unified modeling language Modelica; establishing a dynamic model of each auxiliary machine part of the solid oxide fuel cell system; all the components are connected according to a unified interface to form a system overall dynamic model, and dynamic simulation is carried out; carrying out multi-output multi-input state space model identification in SIMULINK by applying dynamic simulation data of the solid oxide fuel cell system; a model prediction controller KF-MPC based on Kalman filtering is developed; and establishing a joint simulation platform. According to the invention, rapid and accurate load tracking and temperature control are realized, and the operation safety of the system is maintained at the same time.

The invention discloses a multi-physics field simulation method, device and equipment for a large-current connecting piece and a storage medium, and discloses the multi-physics field simulation method for the large-current connecting piece, and the method comprises the steps: carrying out the dynamic simulation of a contact process through a dynamic simulation model of the large-current connecting piece, and determining a dynamic simulation result; and determining a first state geometric model of the large-current connecting piece and a contact pressure function of each contact surface according to a dynamic simulation result, and further performing multi-physics field coupling simulation on the large-current connecting piece in a contact state to obtain a multi-physics field simulation result. According to the mode, when force-electricity-heat multi-physical field joint simulation is carried out on the large-current connector contact element, dynamic simulation is carried out firstly, electrothermal coupling simulation in a contact state is carried out based on a simulation result, and the simulation process is disassembled, so that the convergence and stability of simulation calculation are improved; and reliable information is provided for subsequent design optimization of the large-current connecting piece.

The invention provides a method and a system for digital twinborn construction and multi-performance real-time evaluation of equipment, the core of the method is to construct a digital twinborn body of the equipment and develop a multi-performance real-time evaluation agent model, and the method comprises the following steps: constructing a multi-field simulation virtual prototype of the equipment based on a joint simulation technology; various performance indexes of the equipment are comprehensively presented through simulation analysis; the model of the virtual prototype is combined with sensing data, and after visualization processing, a digital twinborn body capable of reflecting direct observation information of equipment is constructed; a robust agent model construction strategy is provided, and batch joint simulation data is adopted to train the model, so that the indirect performance index of the equipment can be accurately evaluated; sensor data for collecting working conditions in real time and an agent model for evaluating performance in real time are integrated in a digital twinborn body, and a model-data dual-drive performance evaluation mechanism is formed.

The invention provides a digital integrated construction method and system for a multi-source heterogeneous model. The method comprises the steps that standardized packaging of the multi-source heterogeneous model is stipulated; carrying out composite data model design; building association mapping of the multi-source heterogeneous model and the composite data based on a macro command; a task engine drives the multi-source heterogeneous model; and performing integrated joint simulation based on the multi-source heterogeneous model. According to the method, a multi-source performance model integration environment is constructed based on a digital model integration construction key technology, a basic environment is provided for digital model integration, testing, scheduling and application, and credible support data is provided for auxiliary decision making and application packaging.

The invention relates to the technical field of industrial equipment intelligent simulation, and discloses a simulation model construction method and system, and the method comprises the following steps: 1, analyzing the electrical control logic of industrial equipment, and converting the electrical control logic into a mixed integer nonlinear programming problem containing a discrete Boolean variable and a continuous variable; 2, modeling the physical field based on a tensor network decomposition algorithm, and generating a compressed low-rank tensor network model; 3, dynamically adjusting parameters of the tensor network model by adopting a hierarchical optimization strategy, wherein the hierarchical optimization strategy switches a global search algorithm and a local optimization algorithm according to an error convergence state; 4, allocating and executing symbol calculation, tensor network operation and parameter optimization tasks through a heterogeneous calculation system; and 5, collecting production line sensor data in real time. According to the method, different physical field sub-models are dynamically activated through Boolean variables, and the accuracy of joint simulation in a complex industrial scene is remarkably improved.

The invention relates to the technical field of digital twinning, in particular to a storage space utilization rate optimization method and system based on digital twinning, and the method comprises the steps: determining three-dimensional visual modeling input data of a storage digital twinning body according to an obtained environment data set of a storage space and an operation state data set of storage equipment; performing feature extraction processing on the three-dimensional visual modeling input data to generate a storage feature set, and generating a three-dimensional visual model of the storage digital twin based on the storage feature set; calling a spatial layout simulation analysis algorithm, performing joint simulation processing on shelf distribution characteristics, equipment moving path characteristics and goods access frequency characteristics in the three-dimensional visual model, and generating a spatial layout simulation result set; and generating a warehousing operation adjustment strategy set according to the path conflict simulation result and the space idle simulation result in the space layout simulation result set, and indicating a warehousing control system to perform space layout optimization processing based on the warehousing operation adjustment strategy set.

The invention belongs to the technical field of mine monitoring, and particularly relates to a multi-field joint simulation method for mining-induced fractures of top and bottom plates of a gas outburst mine. Comprising the following steps: S1, determining development heights of a working face water flowing fractured zone and a caving zone and depth characteristics and evolution laws of a floor failure zone by adopting various in-situ space-time monitoring technologies; s2, constructing a numerical model based on mechanical parameters actually measured by engineering, and obtaining an upper layer overlying strata damage simulation result; s3, establishing a parameter correction model, obtaining a corrected simulation result, and applying the corrected simulation result to overlying strata failure simulation after full-layer mining after the actual measurement precision is met; s4, collecting overlying strata damage data of all fully mechanized coal mining faces in the mining area or the region, fusing the corrected numerical simulation results, and analyzing to obtain a regression prediction model of the height of the water flowing fractured zone; and S5, collecting overlying strata failure data of each fully mechanized coal mining face in the mining area or the region, fusing the corrected numerical simulation results, and analyzing to obtain a regression prediction model of the floor failure zone height. The invention creates a numerical simulation method for the mining process and overlying strata failure evolution.

In order to solve the problems of high energy consumption and unbalanced comfort of a traditional static control strategy of the air conditioning system during environment change, a building three-dimensional model is constructed, and sensor data and energy consumption simulation software are fused to construct a joint simulation environment. The improved extreme learning machine neural network is used for predicting the air conditioner energy consumption and the personnel thermal comfort degree, the network structure and parameters are optimized through the rotary particle swarm optimization, and the prediction precision and generalization ability are improved. And then, in combination with a Newton-Raphson multi-objective optimization algorithm, solving an air conditioner temperature set value optimal dynamic sequence in a rolling manner, and balancing energy consumption and comfort through a Pareto frontier solution set. Through dynamic simulation and data driving optimization, precise regulation and control of the air conditioner are achieved, and the thermal comfort degree is improved.

The invention discloses a deep reinforcement learning-based cooperative control method for an expressway confluence area, and the method comprises the steps: building a LiikeSim-Python joint simulation environment, and setting a coil detector in the simulation environment to obtain the traffic flow data of the upstream and downstream of the expressway confluence area; an EM algorithm based on Gaussian mixture distribution is used as a traffic state classifier, traffic flow data of the highway confluence area are used as input, and traffic states of the highway confluence area are divided; designing a state space, an action space and a reward function; taking the state space of the highway confluence area as input, taking the actions of the variable speed-limiting intelligent agent and the ramp metering intelligent agent as output, and constructing a network model of multi-agent sharing experience under time sequence characteristics; an independent experience pool is set for each of the variable speed limit agent and the ramp metering agent, and interaction experience of the agents and the traffic simulation environment is collected with the control period as the frequency; training an agent model by using the sampled samples; and realizing cooperative control of the highway confluence area by using the trained intelligent agent model. According to the invention, the traffic travel delay of the highway confluence area can be reduced.

The invention discloses a multi-scale wear fatigue joint simulation method and system for a valve element and a valve sleeve of a servo valve, and relates to the technical field of hydraulic control. A geometric model is designed according to structural parameters of a valve structure, and the geometric model is divided into multiple assemblies; defining material parameters of each component, and correspondingly associating the material parameters with each component; defining a wear model of the contact surface of the valve core and the valve sleeve; defining a nonlinear mechanism of the fatigue model; defining a coupling model of a coupling relationship between the wear model and the fatigue model; performing grid division on the geometric model by adopting a dynamic grid updating model, and taking all grid units as simulation analysis objects; performing simulation analysis on the coupling model; according to the simulation result, the wear fatigue coupling failure behavior of the valve element and the valve sleeve is predicted, and the design of the valve element and the valve sleeve is optimized. According to the method, the submicron wear depth prediction precision can be realized, the service life prediction error is reduced compared with that of a traditional method, and a quantitative basis is provided for reliability design and condition-based maintenance of a high-precision servo valve.

The invention relates to the technical field of chip verification, in particular to a chip joint simulation method and device based on a multi-processing-module interface and a medium, and the method comprises the steps: S1, inputting the same test case to a to-be-tested chip design and simulation model at the same time; s2, determining an output sequence Yi of a multi-processing module of Di through arbitration in the design of the chip to be tested, and transmitting the output sequence Yi to Ci; s3, the simulation model outputs data from the Ci according to the Yi, and the data are sequentially stored in the Qi; s4, the chip design to be tested outputs data from the Di according to the Yi, the data DAi output by the Di is obtained in real time, and the CAi is read from the Qi; and S5, comparing the DAi with the CAi, if all the DAi is equal to the CAi, circularly executing the steps S1 to S5, and if the DAi is not equal to the CAi, ending joint simulation and generating chip verification failure prompt information. The chip verification efficiency is improved, and the chip verification cost is reduced.

The invention relates to the technical field of joint simulation, and particularly discloses an FMI standard-based joint simulation method between three-dimensional models of a cloud chained tool, which comprises the following steps of: establishing a three-dimensional joint simulation system for supporting integration and collaboration of different simulation software; dividing the three-dimensional joint simulation system into multiple types of modules according to the requirements of data exchange and time synchronization among different simulation software; and simulation software integration and collaboration among different fields or different systems are carried out by utilizing multiple types of modules, and a three-dimensional joint simulation process is managed. The three-dimensional joint simulation system is established, simulation integration and collaboration among different fields or different systems are realized through a refined simulation process, and the simulation process is managed to standardize the three-dimensional joint simulation process, so that the simulation difficulty is reduced, and the three-dimensional joint simulation can be commonly used in the simulation industry; and a simulation result is closer to a real world result.

The invention discloses a wave-current combined simulation system and method in a low-pressure environment, and relates to the technical field of underwater vehicle hydrodynamic model tests. The defects that in the prior art, sealing and strength are difficult to guarantee in a low-air-pressure environment, and accurate flow velocity and shear gradient control of a multi-layer flow channel cannot be achieved are overcome. According to the technical scheme, the device comprises a low-pressure pool, a plurality of layers of layered water inlet galleries, a plurality of layers of layered water outlet galleries, a rectifying wall, a rectifying baffle, a flow guide grid, a wave absorbing bank, an in-cabin rocking plate type wave maker, a plurality of bottom flow making pump flow making systems, an electric butterfly valve, a high-voltage frequency conversion cabinet, a three-phase asynchronous motor, a gear box, an impeller shaft system and the like. All the devices work cooperatively, and accurate coupling simulation of a multi-layer flow field and high sea condition waves under low air pressure is achieved. The device is suitable for wave-current combined hydrodynamic characteristic simulation and test research of deep-sea navigation bodies and ocean engineering equipment in a low-pressure environment.

The invention relates to a microstructure prediction method of a high-entropy alloy, a directional solidification process optimization method and a preparation method of a high-entropy alloy bar. The microstructure prediction method comprises the following steps: calculating and extracting physical property parameters of the high-entropy alloy through JMatPro software; the physical property parameters are input into parameter setting of COMSOL software, and the induction melting process of the high-entropy alloy is simulated through the COMSOL software until a completely-molten high-entropy alloy melt is obtained; the directional solidification process of the high-entropy alloy melt is simulated through ProCAST finite element software, and the microstructure of the high-entropy alloy under the corresponding technological condition is obtained. According to the method, through joint simulation of JMatPro, COMSOL and ProCAST software, prediction of the whole process from material attributes to the smelting process to the microstructure is achieved, and a more efficient and low-cost technical approach is provided for prediction, research, development and preparation of the microstructure of the high-entropy alloy.

The invention discloses a digital twinning-based drilling machine lifting system digitization method, device and equipment and a medium, and relates to the technical field of engineering machinery, and the digital twinning-based drilling machine lifting system digitization method comprises the steps of constructing a digital twinning model of a target drilling machine lifting system; virtual-real mapping of the digital twin model is carried out according to the equipment information data; determining simulation data of the digital twinborn model based on the real-time monitoring data, and simulating the digital twinborn model to quantify the model precision of the digital twinborn model so as to obtain an initial digital twinborn model; and performing joint simulation by using a preset technological process identification model and the initial digital twinborn model, and making corresponding automatic updating strategies for different technological processes so as to perform dynamic updating according to the automatic updating strategies, and performing evaluation verification on the initial digital twinborn model to obtain a target digital twinborn model. Therefore, digital twinborn modeling can be carried out on the drilling machine lifting system so as to realize optimization management on the drilling machine lifting system based on the digital twinborn model.

The invention belongs to the technical field of electric power system information physical fusion, and discloses an electric power information physical system modeling method and device based on digital twinborn and cross-domain joint simulation, equipment and a medium. The device comprises a physical layer used for acquiring basic data of a power network; the communication layer is used for constructing a communication network model and simulating communication among different subsystems in the power network; the digital twin layer is used for constructing a protocol conversion gateway to align semantics of the physical layer data and the communication layer data, and performing state estimation of the physical layer and the communication layer by adopting digital twin virtual-real interaction based on the physical layer data and the communication layer data which are subjected to semantic alignment; performing joint simulation of the physical layer and the communication layer in different communication time delays and communication fault risk conditions to obtain a simulation result; and the application layer is used for obtaining critical time delay and time delay-frequency sensitivity based on the simulation result.

The invention belongs to the technical field of coal mine transportation assistance, and aims to solve the problems of long time, high cost and high safety risk of a test method based on an actual environment. The DT-based self-adaptive updating method for the intelligent chassis model of the unmanned mine comprises the following steps: acquiring environmental data around a vehicle, and constructing a three-dimensional environmental map of an underground coal mine haulage roadway based on the environmental data; obtaining vehicle state data, and constructing a whole vehicle mechanism model based on the vehicle state data; building a digital twinborn model based on the three-dimensional environment map and the whole vehicle mechanism model, and carrying out joint simulation; and improving the operation control strategy of the vehicle physical entity based on the simulation result. According to the method, an unmanned mine intelligent chassis test simulation platform is constructed based on a digital twin technology, and the effectiveness of an unmanned algorithm and the reliability of drive-by-wire chassis structure design and high response are efficiently and accurately verified through the method.

The invention discloses a joint simulation management platform and a simulation method based on chip packaging, and belongs to the technical field of integrated circuit simulation. The simulation management platform generates a chip packaging physical model configuration table according to a chip packaging design file, creates a packaging material database and a working condition database, solidifies a simulation process of a simulation task, and performs simulation on the chip packaging physical model configuration table according to the chip packaging design file; a user is guided to input simulation parameters in a user interface according to a simulation process, a command control is clicked, interaction with ANSYS is carried out through a PyAnsys library of python, input of the user and pre-generated configuration information are transmitted to the ANSYS, and the functions of simulation pretreatment, simulation material calling, boundary condition setting, solving and post-processing and simulation report generation are achieved. According to the technical scheme, management and sharing of simulation process data and process and standardization of a task execution process are achieved, a sustainable multi-physics field coupling joint simulation management platform is formed, and simulation efficiency and precision are improved.

The invention provides a porcelain insulator quality evaluation system based on multi-physics field coupling analysis, and relates to the technical field of rod-column porcelain insulator data processing.The porcelain insulator quality evaluation system adopts an electricity-heat-force multi-physics field joint simulation model to comprehensively reflect the heat accumulation and stress deformation effect caused by electric field concentration; an electric field concentration coefficient, a temperature rise trend coefficient and a stress gradient coefficient at a sharp point can be accurately captured, and degradation path prediction in a real operation environment is formed; according to the technology, the thread coupling abnormal index F alpha i of the ith rod-type column porcelain insulator is constructed, whether the thread structure has the risk of partial discharge, flashover or breakdown or not can be dynamically evaluated, and by introducing equivalent dielectric layer simulation of various environmental media, the simulation of the influence of various pollutants, attachments and climates on electric field concentration in reality is promoted; quantitative evaluation of the corona discharge risk of the sharp point is realized, and the reliability of the structural design of the insulator is promoted and improved.

The present invention belongs to the technical field of intelligent building energy management and control, and discloses a model-data dual-driven building energy management and control intelligent agent training environment creation method. The method is implemented by the following steps: First, a thermodynamic mechanism model of the building envelope structure and a simulation model of the HVAC system are constructed, and the two types of models are coupled through a joint simulation interface. Then, the existing building operation data is cleaned and repaired by time series alignment, missing value filling, outlier filtering, etc. to ensure data quality. Subsequently, the joint simulation model is run to generate output data such as hourly load and equipment status. Finally, through spatiotemporal label association and feature extraction, the cleaned and repaired measured data and the model output data are multi-source fused to construct a training database containing multi-dimensional features such as building thermal dynamic response and equipment operation characteristics, providing high-precision, full-scene training data support for the building environmental control intelligent agent.

The application discloses a high-pressure diaphragm pump one-way valve structure multi-objective optimization method based on digital twinning, and belongs to the technical field of pump valve optimization design; the application collects geometric size parameters and material properties of a high-pressure diaphragm pump one-way valve, and establishes a simulation model; an Isight and ANSYS joint simulation method is used to generate sample points and calculate response values; an agent model is constructed according to response values of each group of sample points, calculation efficiency is improved, and a digital twinning model is constructed; a one-way valve structure multi-objective optimization model is established by taking the maximum equivalent stress of a valve core and the minimum maximum flow velocity of a valve gap flow field as objective functions, a genetic algorithm is used for solving, the best structure parameter combination of the one-way valve impact resistance performance is obtained, and finally, result verification is carried out; the application can realize high-precision simulation of a one-way valve operating state and solving of optimal structure parameters of impact resistance performance, thereby guiding one-way valve structure design, reducing product research and development time cost, and improving service life.

The invention discloses a building heating and ventilation system forward design method and device based on a PLM platform and a storage medium. The method comprises the following steps that 1, a heating and ventilation professional series library is configured and maintained; 2) building a building design parameterized model, and building a building energy consumption analysis model; 3) based on the building energy consumption analysis model, calculating the building cooling and heating load, and storing a calculation result as a basis for equipment type selection; 4) selecting an electromechanical equipment combination with optimal energy consumption as an equipment type selection result; 5) creating a two-dimensional schematic diagram of each system; 6) driving the two-dimensional schematic diagram and the three-dimensional model; 7) adjusting the system simulation model based on the three-dimensional model; 8) carrying out three-dimensional deepening design; 9) performing joint simulation based on CFD and a system simulation model; 10) performing three-dimensional marking and three-dimensional delivery; and 11) establishing a later operation and maintenance model based on the three-dimensional deepening model, and carrying out semi-physical simulation operation and maintenance. According to the design method, the efficiency, accuracy and intuition of heating and ventilation design are improved.

The invention provides a joint simulation method, device and equipment for a vehicle electronic control system and a vehicle, and relates to the technical field of vehicle chassis electronic control, and the method comprises the steps: firstly obtaining basic data of an electronic control system model and a vehicle dynamics model, and a simulation test working condition; then, an interface mapping relation between an electric control system model and a vehicle dynamics model is established, and the electric control system model and the vehicle dynamics model are integrated by means of a multidisciplinary collaborative tool chain to generate an interactive dynamic link library file, so that efficient and stable joint simulation of the electric control system and the Adams whole vehicle model is achieved. According to the method, key parameters are uniformly packaged into an external system library, direct debugging of an electronic control model and flexible configuration of control parameters in a single Adams environment are supported, so that the problems of multi-software switching, solver conflict and interface immobilization in traditional master-slave joint simulation are avoided, the simulation stability, the execution efficiency and the system expansibility are effectively improved, and the method is suitable for large-scale popularization and application. And the control effect of the electronic control system on the dynamic performance of the vehicle can be verified more accurately.

The invention discloses a heat pump drying experiment method based on 1D-3D joint simulation, particularly relates to the crossing field of heat energy engineering and simulation modeling, and aims to solve the problem of insufficient precision caused by disconnection of a heat pump system and cavity flow field simulation in a heat pump drying process in washing equipment such as a dish-washing machine. The method comprises the following steps: establishing a heat pump system one-dimensional dynamic model and a cavity three-dimensional flow field model, dynamically setting one-dimensionally output air supply temperature and humidity parameters as a three-dimensional inlet boundary, and meanwhile, feeding back three-dimensional air return parameters to a one-dimensional evaporator adjusting boundary to form closed-loop coupling iteration, so as to obtain a three-dimensional flow field model; dynamic high-precision simulation of the whole drying process is achieved, the structure optimization efficiency and the energy consumption evaluation reliability are effectively improved, part of physical tests are replaced, and the development cost is reduced.