31results about How to "Reduce simulation error" patented technology

The invention discloses a suspension type monorail vehicle dynamic model and a vehicle-bridge coupling power simulation method, belongs to the technical field of rail traffic and aims to solve the technical problem that an existing suspension type monorail dynamics simulation device is large in simulation result errors during rail beam local vibration research. By providing the suspension type monorail vehicle system dynamic model, a rubber wheel-rail surface contact mechanical model, a rail beam bottom plate and web equivalent surface force application method and a vehicle and rail beam coupling dynamic model building method, a suspension type monorail vehicle-rail beam coupling dynamic simulation system is built. By the model, the system and the method, suspension type monorail vehicle system suspension mechanism decoupling and equivalent treatment are achieved, and the technical problems that the existing suspension type monorail dynamics simulation device is large in simulation result errors during the rail beam local vibration research, rail beam dynamic stress and strain results are hard to extract, rail beam local strength destroying cannot be evaluated accurately and the like are solved.

The invention provides an excitation inrush current simulation method and device for an ultra-high voltage transformer under a condition of no-load closing. The excitation inrush current simulation method comprises the following steps: on the basis of the transitional area between the linear area and the non-linear area of the non-hysteresis curve, non-hysteresis magnetization intensity indicated by Langvin function is corrected; the corrected non-hysteresis magnetization intensity is utilized to establish a J-A magnetic hysteresis model; the parameters of the J-A magnetic hysteresis model are recognized; an analysis is conducted on the ultra-high voltage transformer and the differential magnetic susceptibility equation is determined; through the J-A magnetic hysteresis model and the differential magnetic susceptibility equation, the excitation inrush current of the ultra-high voltage transformer under the empty charging condition is determined. The excitation inrush current simulation method and device for the ultra-high voltage transformer under the condition of non-load losing correct the non-hysteresis magnetization intensity, enable the transitional area between the linear area and saturation area of the non-hysteresis curve to be closer to a true value and accurately simulate the magnetization characteristics of the transformer; moreover, the special construction of the ultra-high voltage transformer is considered and the excitation inrush current of the ultra-high voltage transformer under the condition of empty charging is simulated. Errors in the simulation are reduced.

The invention discloses a real-time control system and real-time control method for a depth simulator. A hydraulic pump station provides an oil source so that a pressure cavity generates corresponding pressure; one path of the pressure is applied onto a user sensor, and the other path is applied onto a double-range pressure sensor; a feedback voltage signal of the double-range pressure sensor acquired by PCI-1716 is transmitted to an industrial control computer and is converted into a pressure intensity signal serving as a system feedback value; the industrial control computer receives a digital depth signal transmitted by an emulation host into a pressure intensity signal serving as a reference input value of a depth simulator system, calculates an error amount and performs PID operation and converts the calculated value amount representing the depth into a voltage signal; and the open size and in/out oil of an electro-hydraulic servo valve are controlled by a PCI-1723 data output card so that a working cavity generates corresponding pressure. The invention ensures low delay and high real-time performance, reduces the emulation error and improves the control precision.

The invention discloses a one-dimensional and three-dimensional joint simulation method for an automobile engine cooling system. The method comprises the steps of using three-dimensional simulation software for estimating the thermal power of a radiator, an intercooler and a condenser, taking constant values as the thermal power of the condenser, and then obtaining the outlet air volume of a radiator core, the outlet air volume of the intercooler core and the surface temperature average value of a core inlet; performing one-dimensional system simulation calculation by utilizing one-dimensionalsimulation software based on the air volume and the temperature average value to obtain the thermal power of the radiator and the intercooler; obtaining outlet air volumes of a radiator core, an intercooler core and a condenser core and a surface temperature average value of a core inlet by using three-dimensional simulation software according to the thermal power of the radiator, the intercoolerand the condenser; and repeatedly executing the steps to perform iterative computation until convergence conditions are met. The advantages of the one-dimensional simulation software and the advantages of the three-dimensional simulation software are fully utilized, simulation errors caused by heat reflux are reduced through repeated iteration, and the simulation precision of the water temperature of the cooling system is improved.

The invention discloses a free-form optical reflector for an LED (light-emitting diode) motorcycle low beam, wherein an internal surface of the reflector is a free-form surface to form an optical reflecting surface; the bottom surface of the reflector is provided with an opening for installation of an LED; one end rightly facing the bottom surface is a light exit port of the reflector; the majority of light emitted by the LED light source is reflected by the internal surface of the reflector and then is emergent to an illuminating plane, and the other light is directly emergent to the illuminating plane. The reflector is divided into an upper part and a lower part; the free-form surface at the upper part of the internal surface of the reflector is mainly used for reflecting the light above a horizontal plane to the illuminating plane below the horizontal plane; the free-form surface at the lower part of the internal surface of the reflector is mainly used for gathering diffused light below the horizontal plane to the illuminating plane below the horizontal plane. The free-form optical reflector for the LED motorcycle low beam has the characteristics of simple structure, convenience in installation and high utilization rate of light energy; light direction can be effectively controlled and the glare effect can be inhibited; and the free-form optical reflector for the LED motorcycle low beam meets the light distribution requirements in GB5948-1998.

The invention discloses a method for inverting simulation parameters through a machine learning neural network. The method comprises the following steps: establishing the machine learning neural network; and taking injection molding simulation software based on the physical model as a learning object, and adjusting the weight of the neural network by using an inversion algorithm in a machine learning algorithm to enable the neural network to use the same input parameter to calculate a corresponding result calculated by the injection molding simulation software based on the physical model. Andthen, according to the difference between the measured value in the injection molding system quantified by the sensor and the predicted value of the neural network model learned by the training, the input parameters which should be used in the injection molding simulation software are inverted, the most important parameters being, but not limited to, rheological model coefficients. And the input parameters subjected to machine learning inversion adjustment are introduced to the injection molding simulation software, so that the difference between a simulation prediction value and an actual measurement value can be reduced, and digital twinning of a simulation injection molding process is realized so as to facilitate intelligent control.

The embodiment of the invention provides a remote sensing imaging simulation method and a device, which relate to the technical field of computer simulation and are used for simulating the imaging result of a satellite optical sensor. The method includes: acquiring a first image; Determining a downsampling region in the first image according to downsampling parameters and imaging mode parameters of the optical sensor; Performing down-sampling processing on pixels in the down-sampling area to obtain a second image; The second image is adjusted according to the imaging mode parameters to obtaina remote sensing imaging simulation image based on the imaging mode parameters. The method can simplify the simulation process of satellite remote sensing imaging and reduce the cost and difficulty ofsatellite remote sensing imaging simulation.

The invention discloses a method and device for establishing a photovoltaic cell simulation model considering local shading. The method comprises the steps of obtaining standard parameters of a photovoltaic cell; determining equivalent series resistance, equivalent parallel resistance, P-N junction effect current and P-N junction effect reverse saturation current of the photovoltaic cell simulation model according to the standard parameters of the photovoltaic cell; according to the standard parameters, the equivalent series resistance, the equivalent parallel resistance, photo-generated current, the P-N junction effect current, the P-N junction effect reverse saturation current and an avalanche breakdown voltage, determining output load current of the photovoltaic cell simulation model; based on the equivalent series resistance, the equivalent parallel resistance, equivalent diode P-N junction direction saturation current and the output load current, establishing the photovoltaic cellsimulation model considering the local shading; the equivalent parallel resistance is connected in parallel with a reverse current source, and a bypass diode is connected in parallel between the positive and negative electrodes of a photovoltaic cell assembly. The device is used for implementing the method.

The invention discloses a method for establishing an equivalent model based on a CAE battery module connection structure. The method comprises the following steps of: 1), establishing an accurate model of the battery module connection structure, and carrying out simulation tests of axial compression and radial overturning offset on the accurate model; 2) establishing an equivalent model, and performing the same simulation tests of axial compression and radial overturn offset on the equivalent model; and 3) comparing reaction force difference values of parallel elastic sheets in simulation tests of the two models, and adjusting anisotropic material parameters applied to series elastic sheet equivalent bodies in the equivalent model according to the difference values until the reaction forcedifference values of the parallel elastic sheets in the simulation tests of the two models are reduced to an ideal range. By adopting the method for establishing the equivalent model, simulation errors can be reduced in the later finite element simulation process, and the simulation efficiency of the battery connection structure and the whole pack of the battery connection structure can be greatly improved.

The invention discloses a power battery pack fatigue life calculation method, which comprises two working conditions of multi-axis vibration fatigue analysis and torsional fatigue, load inputs of thetwo working conditions are from test actual measurement data, and meanwhile, influences of welding spots and welding seams of a key area of a power battery pack on fatigue life are considered. According to the method for calculating the fatigue life of the power battery pack provided by the invention, the stress condition of the power battery pack with a flexible connection structure is also considered in vibration fatigue analysis, and the stress load of the power battery pack on various road surfaces is accurately and comprehensively considered; according to the method, the performance of the power battery pack structure can be rapidly and effectively evaluated, and engineering technicians are helped to carry out risk prediction on the power battery pack, so that the power battery pack is optimized in a targeted manner, and the performance of the power battery pack is improved.

The invention discloses an all-condition simulation modeling method and system for a radial turbine based on particle swarm optimization for compressed-air energy storage. The method comprises the steps of: determining an input quantity, an output quantity and model parameters of a dynamic radial turbine simulation model; establishing a radial turbine simulation model for calculating the frictionloss and incidence loss of the radial turbine, and optimizing the process of solving the radial turbine simulation model; solving the optimization problem using the particle swarm optimization to obtain the output quantity of the radial turbine simulation model; reducing the simulation error caused by falling into local optimal value by using a loop iterative processing method; and building an all-condition simulation module of the radial turbine based on the particle swarm optimization on a Matlab/Simulink platform, wherein the module can be freely combined with other models in the Matlab/Simulink. The simulation model obtained can effectively show the running condition of the radial turbine under all conditions, and has a low simulation error.

The embodiment of the invention discloses a radio frequency energy deposition prediction and monitoring method, device, equipment and medium, and the prediction method comprises the steps: collecting a magnetic resonance scanning structure image of a scanning object, carrying out the tissue segmentation based on the structure image, and building a three-dimensional biological model of the scanning object; establishing a biological electromagnetic simulation model according to the three-dimensional biological model; establishing a multi-channel radio frequency coil model according to a preset scanning strategy, and simulating and confirming a radio frequency energy deposition value in combination with the biological electromagnetic simulation model and the multi-channel radio frequency coil model. The monitoring method comprises the following steps: predicting a radio frequency energy deposition value according to the prediction method, and adjusting a scanning strategy according to a prediction result. According to the technical scheme provided by the embodiment of the invention, the SAR value of the scanned object can be predicted more accurately and individually under the technical scene of parallel transmission of the multi-channel transmitting coil, and the safety of the scanned object during magnetic resonance scanning is improved.

The invention provides a simulation method for motion control of a changeable rotating center of a dynamic positioning ship. The method comprises the steps of calculating a switching matrix of a shiprotating center speed and a ship center speed through the position of a rotating center point in a hull coordinate system; calculating a motion state of the rotating center point; calculating a desired motion state; calculating a relative position coordinate of each propeller; calculating a new propeller position arrangement matrix; calculating desired thrust and desired rotation azimuth angle ofeach propeller; synthesizing the actually output thrust of the propellers at the rotating center to form resultant force; calculating the motion state at the rotating center point; calculating a position and an attitude in a northeast coordinate system; and calculating the position of the rotating center. According to the simulation method, the tasks, such as fixed-point positioning and path tracking after the rotating center of the dynamic positioning ship is changed can be effectively simulated, so that the simulation error is reduced, the actual situation can be really reflected and technical support can be provided for motion control of the changeable rotating center of an actual dynamic positioning system.