92 results about "Hardware-in-the-loop simulation" patented technology

The invention discloses an aerospace equipment data-real fusion performance test method and device based on reinforcement learning, and the device comprises a digital twin model building module which is used for building an aerospace equipment high-fidelity mechanism model fusing multi-physical field features, a lightweight digital twinborn body adaptive to reinforcement learning training is generated through a model order reduction technology; the digital twinborn model correction module is used for carrying out consistency calibration of multi-dimensional features and key physical parameter correction on the reduced-order model based on object reference data; the performance test module based on reinforcement learning actively explores a coupling scene of an extreme working condition and multiple faults in an interaction environment by constructing an attacker agent, and autonomously explores a performance boundary and a limit envelope of equipment; and the number-real fusion verification module is used for carrying out a hardware-in-the-loop point compensation test by taking the performance limit obtained by the digital test as guidance so as to assist in decision making and optimization of a test scheme. According to the method, the coverage, the safety and the test efficiency of the limit performance test of the aerospace equipment are improved.

The invention discloses a real-time SLMP fuel cell hybrid electric vehicle energy management method. The method comprises the following steps: firstly, collecting vehicle operation data in real time, constructing an operation state vector containing kinetic parameters, and initializing a state transition matrix as agent action input; on the basis, the speed and the acceleration are predicted through a self-learning Markov predictor, and dynamic self-adaptive power distribution of the fuel cell and the power cell is achieved in combination with a multi-objective optimization function and power distribution constraints. The method passes hardware-in-the-loop (HIL) verification, aims at reducing hydrogen consumption and improving efficiency, and exits if two times of circulation are not passed. Compared with a traditional method based on rules or static optimization, the method innovatively embeds a self-learning mechanism, has the advantages of being high in adaptability, high in prediction precision and good in generalization performance, and is suitable for energy management optimization under complex working conditions.

A hardware-in-the-loop test method and system for a protection device. The method comprises: constructing a simulation scenario in a hardware-in-the-loop simulation test system; on the basis of the mounting position of a protection device (4) to be verified in the simulation scenario, determining the minimum sampling signals required for said protection device (4) to work normally, and establishing a current transformer model capable of restoring a transient saturation scenario; performing a power-on operation on said protection device (4), and enabling the hardware-in-the-loop simulation test system to output an electrical signal; and after a correct sampling reading is acquired on said protection device (4), simulating a fault scenario in the simulation scenario, and on the basis of a current signal having transient saturation characteristics calculated by a model and a logic determination of the protection device, determining whether an action result of the fault scenario satisfies a setting value and an action logic. The present hardware-in-the-loop test method for a protection device restores a true current in a non-ideal fault condition, thereby deeply testing the working characteristics of a relay protection device in a power station.

The invention discloses a reinforcement learning-power hardware-in-the-loop training system and method for a power converter, and belongs to the technical field of power electronic control and artificial intelligence crossing. The system comprises a real-time digital simulator, a power amplifier, a controlled power converter and an AI accelerator. The method comprises the steps of S1, system initialization and environment configuration; s2, performing safe online training; and S3, strategy convergence and solidification. Through the power hardware-in-the-loop architecture, the risk of reinforcement learning exploration is completely avoided, and hardware damage caused by overvoltage and overcurrent is fundamentally eradicated in combination with a real-time hardware protection strategy. According to the method, the real object power converter controller is incorporated into a training closed loop, so that an intelligent agent strategy directly learns and adapts to the nonlinear dynamic state of real hardware, the gap from simulation to reality is thoroughly filled up, and it is ensured that a training result can be directly applied to an actual system. According to the invention, a full-real-time training system is constructed, and synchronous concurrent processing of data acquisition, strategy execution and model updating is realized.

The invention relates to the technical field of curved screen testing, and discloses a hardware-in-the-loop self-adaptive testing method and system for a curved screen and a storage medium. The method comprises the steps that the model of the curved screen is obtained, bending information and a two-dimensional coordinate system are extracted from a hardware model library, and a multi-axis testing arm three-axis basic assembly is initialized; starting a corresponding bending shaft assembly according to the bending dimension; the method comprises the following steps: controlling a touch pen to click a curved screen to obtain a two-dimensional click coordinate, converting the two-dimensional click coordinate into a three-dimensional point of a space coordinate system, calculating a reference tangent vector and a normal vector of a tangent plane of the point, rotating the tangent vector to a set angle to obtain an axial vector, establishing a local coordinate system and associating the local coordinate system with the space coordinate system; and controlling the test arm to move the touch pen to a target position and execute touch operation, and judging the touch state of the curved screen according to the touch test data. Accurate inclined touch control of any point of the curved screen is realized, driving scene man-machine interaction is truly restored, and test coverage and accuracy are improved.

The invention relates to a closed-loop virtual test flight pre-evaluation method and a medium, and relates to the field of flight tests. The method comprises the steps of constructing a digital twin module which comprises a pneumatic sub-model, a flight control sub-model, a power sub-model and a structure sub-model, defining a tilt transition specific high-risk subject and generating a test case, executing parallel Monte Carlo simulation and hardware-in-the-loop test, performing flight safety risk identification and envelope boundary quantification, and determining a tilt transition specific high-risk subject according to the tilt transition specific high-risk subject. And generating a risk assessment report and optimizing a real aircraft test flight outline. Wherein the aerodynamic sub-model adopts a dynamic vortex grid correction method based on CFD offline calibration and online query; the flight control sub-model comprises a configurable fault injection module based on a script engine, and the configurable fault injection module is used for defining a coupling fault sequence of sequential logic and a condition triggering relation. Compared with the prior art, the accuracy and the applicability of the pre-evaluation of the virtual test flight are improved.

The embodiment of the invention provides a test environment deployment method and device, a medium and a program product, and relates to the technical field of hardware-in-loop testing. The method comprises the following steps: acquiring a test requirement and a template library, wherein the template library comprises an environment configuration template and a parameter rule; generating environment configuration based on the test requirement and the template library, wherein the environment configuration comprises an operating system version, a network parameter and a resource allocation parameter; and deploying a test environment according to the environment configuration, wherein the test environment is used for hardware-in-the-loop test. Based on the method, the test environment deployment process can realize high automation, the probability of errors caused by manual operation is reduced, and the deployment reliability is improved. And the test requirements can be dynamically adapted, the environment consistency and the resource utilization rate are improved, rapid generation and parameter optimization of the test environment are realized, the deployment time consumption is reduced, and the test environment deployment efficiency and the overall test efficiency are improved.

The invention discloses a closed-loop test system for a hardware-in-loop control air suspension. The closed-loop test system comprises an air suspension ECU to be tested; the simulation module is used for correspondingly simulating various vehicle parameters based on various vehicle parameter simulation models; the hardware simulation module is used for providing a hardware simulation signal for the air suspension ECU; the control module is used for controlling the simulation module and the hardware simulation module based on a test case when a test instruction is received, and outputting a target vehicle parameter and a target hardware simulation signal; the air suspension ECU performs closed-loop testing based on the target vehicle parameters and the target hardware simulation signals, so that real-time interaction and closed-loop logic among various modules in the dynamic state of the whole vehicle can be truly simulated, the simulation precision of the working condition of the air suspension is improved, an accurate test result is provided, and the test efficiency is improved. And the problems of high cost, long period, low repeatability and safety risk under limiting working conditions caused by real vehicle testing are avoided.

The invention relates to the technical field of computers, and discloses a bus signal simulation method for a universal emission control system. The method comprises the following steps: acquiring equipment node topology, a protocol type and historical load data; constructing a bus network abstract model; extracting a message flow time sequence template; generating a concurrent message scheduling sequence conforming to the arbitration logic; fusing to form a high-fidelity signal substrate; superposing physical layer interference signals based on measured data; and the data is injected into a tested system through a hardware-in-the-loop interface. The system comprises a bus topology analysis module, a network modeling module, a time sequence template extraction module, a scheduling generation module, a signal fusion module, an interference injection module and a hardware output module. According to the method, through logic and physical layer combined modeling, the test authenticity, the coverage rate and the platform universality are remarkably improved.

The application discloses a kind of hardware-in-the-loop test of automatic driving domain controller, comprising: real-time processor and graphics workstation;Graphics workstation is used to generate simulation traffic scene information, simulation sensor information is generated based on simulation traffic scene information, first simulation sensor information in simulation traffic scene information and simulation sensor information, simulation traffic scene information and simulation sensor information are transmitted to automatic driving domain controller, second simulation sensor information in simulation sensor information is transmitted to real-time processor;Real-time processor is used to transmit second simulation sensor information to automatic driving domain controller, receives the vehicle control information that automatic driving domain controller feedback.This application provides the hardware-in-the-loop test system, device, storage medium of automatic driving domain controller, can avoid the problem that scene information and sensor perception information do not match when hardware-in-the-loop test, improves the accuracy of test.

The invention relates to a message verification method and device and a vehicle, relates to the technical field of hardware-in-the-loop testing, and aims to solve the problem of difference between original data of a bottom layer of a controller and data processed by an application layer. The method comprises the following steps: acquiring message description information corresponding to a target message sent by a controller in a hardware-in-the-loop test process of the controller; determining whether the message description information comprises target information or not; wherein the target information is used for indicating the data bit without the signal value in the target message. And under the condition that the message description information does not comprise the target information, generating the target information. And updating the target information to the message description information. And the updated message description information is utilized to perform message verification on the target message, so that the problem of data difference between a bottom layer and an application layer can be solved, and the efficiency and reliability of system development are improved.

The application provides a test method of a power grid based on RTDS and energy storage signal interaction simulation system, comprising: running a real-time digital simulation system, and issuing a start-up instruction by a storage converter; a battery model real-time simulation machine in a hardware-in-the-loop test system charges according to the start-up instruction; the frequency of a power grid model in a real-time simulation host is adjusted to a trigger threshold of primary frequency modulation, and a discharge instruction is issued by the storage converter; the battery model real-time simulation machine outputs active power according to the discharge instruction, and discharges according to the discharge current, and the discharge process is fed back to the real-time digital simulation system through a battery management system. The application also provides a power grid based on RTDS and energy storage signal interaction simulation system. Through the real-time digital simulation system, the storage converter, the hardware-in-the-loop test system and the battery management system, synchronous simulation of the power grid-energy storage is performed, and a real application scenario of charging, discharging, start-up and shutdown real-time adjustment of the energy storage container during grid connection is simulated.

The invention relates to the field of aviation electrical engineering and real-time simulation testing, and provides a multi-level collaborative verification method and platform for an aircraft power generation system control strategy and a storage medium, and the method comprises the steps: an offline simulation stage: carrying out the preliminary design and verification of the control strategy; in the real-time simulation stage, closed-loop real-time verification and parameter optimization are carried out on the control strategy; in the rapid prototyping stage, optimized control strategy codes are deployed to a rapid prototyping controller and are connected with real or high-precision simulated power generation system hardware, and hardware-in-loop-entity hybrid verification is carried out; wherein a unified performance reference and error feedback chain penetrating three stages of off-line simulation, real-time simulation and rapid prototyping is established, a verification result of each stage is used as an expected reference of the next stage, and error monitoring and backtracking correction are carried out. According to the method, through offline-real-time-prototype three-layer progressive verification and a model precision progressive calibration mechanism, the confidence coefficient and the one-time success rate of final physical verification are greatly improved.

The utility model relates to the technical field of automobile controller testing, in particular to a controller hardware-in-the-loop test simulation system, which comprises a tested controller, a hardware-in-the-loop test simulation system and a hardware-in-the-loop test simulation system, the processor is connected with the tested controller; the first board card is connected with the processor; the simulation load, the real load, the second board card and the third board card are connected with the first board card; the upper computer is connected with the processor; a programmable power supply; and the connector is connected with the first board card. Therefore, the problem that hardware-in-the-loop HIL test equipment of an existing controller cannot meet the test requirement of the PCCU of the power chassis integrated controller is solved.

The application relates to an FPGA prototype verification method and system of a smart meter chip, and belongs to the field of integrated circuit testing and electric power metering. The method aims to solve the problems of ASIC design transplantation to an FPGA platform, large difference between a verification environment and a real power grid, and lack of a real-time closed-loop verification mechanism. A technical scheme efficiently transplants the design to the FPGA by optimizing ASIC front-end synthesis constraints and adopting a netlist-level IP replacement strategy; a hardware-in-the-loop system is constructed, which comprises a real power grid signal source, a separation device simulation front end, an FPGA verification board, a high-precision standard electric energy meter and a host computer. The system can generate a real power grid excitation and realize synchronous collection of prototype output and the standard meter, real-time error analysis and dynamic adjustment of parameters, thereby forming a closed-loop verification. The application significantly improves code transplantation efficiency, provides a highly consistent real power grid verification environment, and greatly improves verification iteration and defect positioning speed.

The invention relates to the technical field of aviation electrical system design and verification, and provides an aircraft power distribution system controller rapid prototype design method and system based on multi-level hardware-in-loop verification, and the method comprises the steps: S1, an architectural offline simulation stage: carrying out the preliminary function verification and parameter setting of a control logic through a unified simulation model; s2, in a distributed real-time simulation and code generation stage, real-time closed-loop verification and iterative optimization are carried out on control logic; and S3, a hardware replacement type rapid prototype verification stage: performing performance verification and final setting on the control strategy under a highly approximate real working condition. The method provided by the invention not only can greatly reduce the safety risk in the physical test, but also has the remarkable advantages of short development period, low verification cost and support of multi-level integrated verification, thereby providing reliable experimental data support for the subsequent physical verification of the aircraft power distribution system control strategy.

The embodiment of the invention provides an equipment scheduling method and device based on a hardware-in-the-loop test, electronic equipment and a storage medium. The method comprises the steps that equipment parameters of current test equipment are acquired; according to pre-determined pre-estimated planning information, determining a target test case corresponding to the device parameters, the pre-determined pre-estimated planning information comprising a test device and a test case corresponding to the test device, and the pre-estimated planning information being a test case corresponding to the test device according to historical test data; determining the estimated time and the corresponding estimated value of the test case on each test device, so that the estimated time meets the preset average time and the estimated value is greater than the preset value; the target test case is sent to the current test equipment, so that the execution time for executing the target test case tends to the preset average time, the estimated value is maximum, the state of the test equipment can be comprehensively considered, the test equipment and the test case are reasonably configured, and the test efficiency is improved.

The invention discloses a test method and system based on an XCP Ethernet, and belongs to the technical field of hardware-in-the-loop testing, the system comprises a test module, an upper computer module and a tested module, the test module and the tested module are in bidirectional electrical connection, the test module and the upper computer module are in bidirectional electrical connection, and the upper computer module is in bidirectional electrical connection with the tested module. The test module comprises a core board, a driving circuit, a processor chip and a programmable chip, the core board is bidirectionally and electrically connected with the driving circuit, the processor chip and the programmable chip are arranged on the core board, and the processor chip and the programmable chip can be bidirectionally connected through an internal system bus. The tested module comprises a controlled power supply module and a vehicle controller module. The XCP protocol stack is integrated in the test module, so that any upper computer software supporting the XCP protocol in the market can be communicated with the test device, on one hand, the development cost of the upper computer software is saved, the development period of the upper computer software is shortened, and on the other hand, the universality of the test device is improved.

The invention relates to a simulation system and method for a hardware-in-the-loop test of a vehicle controller, and the system comprises an upper computer module which is configured to receive a target simulation command and send the target simulation command to a workbench module and a controller module; a controller module configured to generate a load control command based on the target simulation command and a target control algorithm; and the workbench module is configured to receive the load control command, receive the target simulation command through the Modbus RTU port, control the load to execute a simulation process based on the target simulation command and the load control command, and generate load state information. By using the simulation system and method provided by the invention, the simulation cost can be reduced, the simulation system can be simplified and the expansibility and compatibility of the simulation system can be improved on the basis of realizing good simulation of the hardware-in-the-loop test of the vehicle controller.

This invention discloses a collaborative intelligent control method for multiple smoke exhaust systems in tunnel fires based on MPC. It achieves synchronous iteration of simulation, control, and physical hardware by constructing a full-size FDS numerical model and a Python-FDS-hardware-in-the-loop three-in-one millisecond-level bidirectional coupling interface. A spatiotemporal topology of tunnel fire smoke evolution is constructed to quickly and accurately predict the spatiotemporal distribution of smoke throughout the tunnel. A two-layer deep MPC architecture combining global collaborative optimization and zoned rolling control is designed, integrating multi-objective optimization functions for evacuation safety, smoke risk, energy consumption, and adjustment smoothness, and embedding hard constraints such as equipment rating, differential pressure, and safety thresholds. Adaptive rolling time-domain optimization and adaptive reconfiguration mechanism for fan failures are introduced. Finally, distributed collaborative closed-loop intelligent control of multiple smoke exhaust fans is achieved through the coupling interface, outputting control commands and fire situation data, significantly improving response speed.

The invention discloses a semi-physical simulation driven crane rotation control performance evaluation method and device, and the method comprises the steps: building a high-fidelity simulation model of a hydraulic and mechanical subsystem of a crane rotation system through simulation software; establishing a controller electric control physical model of the vehicle-mounted rotary system; based on the high-fidelity simulation model and the controller electric control physical model, a joint simulation platform of controller hardware-in-the-loop is built, so that semi-physical joint simulation of the rotary system is achieved; the joint simulation platform is used for driving joint simulation of the rotary system, a data interaction link between the sub-modules is established, joint simulation is carried out to obtain a joint simulation result, and the joint simulation result is synchronously filed to a server database; and carrying out data fusion and visualization processing on the joint simulation result at the server side, and reflecting the semi-physical joint simulation operation state of the crane rotation system in real time.

The invention provides a control software joint simulation hardware-in-the-loop test system and method. The system comprises a hardware-in-the-loop test platform, a test project management platform and an automatic test platform. The hardware-in-the-loop test platform comprises an IO interface board card and a real-time simulation machine which are respectively used for connecting a physical controller and operating a controlled object model containing a virtual controller model; the system supports the hybrid deployment of a real object and a virtual controller: the controller of a selected type can be accessed in the form of the real object, and meanwhile, a corresponding virtual model in a real-time simulation machine replaces a non-accessed controller of the same type, so that the controller and the real-time simulation machine interact in real time to form a closed-loop test. According to the method, flexible configuration and reuse of a test environment are realized, a whole-process closed loop from test management, automatic execution to result tracing is completed, the method has software quality quantitative measurement and continuous improvement capabilities, and the test efficiency, coverage depth and quality assurance level of the new energy automobile control software are remarkably improved.

This invention proposes a method for enhancing the stability of power hardware-in-the-loop systems based on DDPG-RP. First, an equivalent circuit model of the system containing grid fault disturbances is established, its dynamic interaction characteristics are analyzed, and the impedance matching conditions for stable operation are determined. Based on this, a phase-compensated and enhanced repetitive-voltage feedforward composite controller is designed. An upper-level intelligent controller is constructed by combining this with a deep deterministic policy gradient algorithm. These two controllers are deployed in the bottom and upper-level control units, respectively, forming a hierarchical collaborative control architecture for grid fault simulation. A test platform is built based on this architecture. After offline training and online deployment of the deep reinforcement learning controller, a three-phase short-circuit fault condition is simulated using a high-power grid-connected interface device to verify its dynamic response and stability. This invention, relying on hierarchical collaboration and intelligent optimization, effectively solves the problem of traditional control systems struggling to balance stability and performance under complex faults, significantly improving system adaptability and robustness.

The invention discloses a hardware-in-the-loop test method of a battery management system and related equipment, and relates to the technical field of battery management systems, the method comprises the steps that hardware interface parameters and electrical characteristic parameters of a to-be-tested battery management system are acquired, and the electrical characteristic parameters comprise a target voltage platform; determining a universal hardware resource and a redundant interface strategy of the hardware-in-the-loop test bench based on a preset reference voltage platform and a target voltage platform; based on the redundant interface strategy and the hardware interface parameters, generating an interface mapping rule of a switching wire harness of the hardware-in-the-loop test bench; based on an interface mapping rule, connecting a signal conditioning module of the hardware-in-the-loop test bench with the battery management system to be tested through a switching wire harness; generating a simulation execution instruction set in a real-time simulation machine of the hardware-in-the-loop test bench based on the electrical characteristic parameters; and based on the simulation execution instruction set, controlling the real-time simulation machine to perform signal simulation and fault injection test, and outputting a simulation test result.

The present application discloses a hardware-in-the-loop (HIL) test method and system for a protective device in the technical field of load balancing of computer platforms, and it comprises the following: creating a simulation scenario within an HIL simulation test system; determining the minimum sampling signal required for the normal operation of the protective device under test based on the installation location of the protective device under test in the simulation scenario and creating a current transformer model capable of reproducing a transient saturation scenario; switching on the protective device under test and outputting an electrical signal through the HIL simulation test system;and simulating a fault scenario in the simulation scenario after receiving correct sample values ​​from the protective device, and determining, based on the current signal calculated by the model with the transient saturation properties and the logic check of the protective device, whether the tripping result corresponds to the set value and the tripping logic. The HIL test procedure for a protective device provided in the present application reproduces the actual current under non-ideal fault conditions and thoroughly tests the operating characteristics of the power plant's relay protection device.

The invention relates to a hardware-in-the-loop testing device and method compatible with electro-mechanical braking systems of passenger vehicles and commercial vehicles. The device comprises a real-time simulation machine, an upper computer, a universal interface case, a modular power load unit, a fault injection module, a mechanical installation platform and an EMB controller. The method comprises the following steps: selecting a vehicle mode, issuing data to the real-time simulation machine and the universal interface case by the upper computer, installing an EDAC interface matched with the EMB controller and completing electrical connection, starting the real-time simulation machine to run a vehicle dynamics model, and executing an automatic test sequence. The invention provides a hardware-in-the-loop testing device and method compatible with electro-mechanical braking systems of passenger vehicles and commercial vehicles. The problems of huge difference between system architecture and performance requirements, incompatibility between interfaces and protocols, high complexity of test scenes and working conditions, high development cost and low equipment utilization rate of an existing test scheme during testing can be solved.

The embodiment of the invention provides a hardware-in-the-loop test case generation method and device, equipment, a medium and a product. The method comprises the following steps: acquiring a test requirement; inputting the test requirements into the reinforcement learning model to obtain a test case set; the test case set is used for representing a test scene set corresponding to the test requirement; for each test case in the test case set, running the test case, and generating a test response; according to the test case and the test response, calculating to obtain a reward value; and if the reward value is smaller than a preset threshold value, performing iterative training on the reinforcement learning model according to the reward value until the reward value is not smaller than the preset threshold value, and outputting a test case set corresponding to the reward value not smaller than the preset threshold value. According to the scheme, the comprehensiveness of scene coverage of the generated test case is improved.

The embodiment of the invention provides a BMS hardware-in-the-loop testing system and method, electronic equipment and a storage medium, and relates to the technical field of battery management system testing. The system comprises a simulation machine, an environment simulation cabin, a test bench and a BMS hardware test board, and the simulation machine is used for generating an environment parameter signal and a battery working condition signal and dynamically adjusting test parameters according to a response instruction returned by the BMS hardware test board; the environment simulation cabin is used for adjusting environment parameters of the environment where the BMS hardware test board is located based on the environment parameter signals; and the test bench is used for simulating a battery signal based on the battery working condition signal. According to the method, the coupling effect of the synchronous simulation electric signal and the physical environment is achieved, the test scene can be dynamically optimized according to the real-time response of the BMS, multiple test scenes are covered, the test result is more suitable for the real and complex working conditions of the BMS, and the problem that the BMS performance evaluation by an existing method has deviation compared with the real and complex working conditions is solved.

A HiL testing platform for a photovoltaic power station and a PPC performance testing method are provided. The HiL testing platform includes: a PPC, an inverter controller, and a HiL real-time simulator. Each of the PPC, the inverter controller, and the HiL real-time simulator is arranged with an upper computer. The PPC is configured to communicate with the inverter controller according to a predetermined communication protocol. The HiL real-time simulator is connected to the PPC and the inverter controller through a digital input interface and / or an analog output interface, and is configured to simulate a testing device in the photovoltaic power station in a digital model form.