59 results about "Transims" patented technology

The present invention provides a method for determining a type of an object distributed through communication network said method implemented by one or more processing devices operatively coupled to a non-transitory storage device, on which are stored modules of instruction code that when executed cause the one or more processing devices to perform: monitoring objects traffic through communication network; building the objects' footprint, wherein said footprint is inferred from monitored traffic flows that contain said object wherein the footprint is organized in a graph structure wherein nodes are source and target network addresses of said traffic flows two nodes are connected if there is a traffic flows between the network address of the respective nodes containing the said object, analyzing the objects footprint for identifying features characteristics / parameters of the footprint to determine the objects type.

The invention discloses a driver driving style classification method based on a fuzzy C-means clustering algorithm. The method comprises the following steps: firstly collecting the real-time driving data of a driver through a driving simulator, carrying out the preliminary screening of experimental data, and removing invalid data; then performing preliminary clustering based on a fuzzy C-means clustering algorithm: taking the reaction time and the vehicle following time interval as input variables, and outputting a preliminary driving style; and finally, on the basis of the preliminary clustering, introducing a transient index speed fluctuation standard deviation for re-clustering, and outputting a re-clustered driving style by taking the reaction time, the vehicle following speed and thespeed fluctuation standard deviation as input variables. According to the method, the adopted characteristic indexes are large in significant difference, the classification algorithm is simple, the classification effect is good, the driving styles of different drivers are comprehensively considered, and the driving styles of most drivers can be covered.

This invention discloses a multi-phase flow simulation analysis method based on generalized mobility, which comprises the following steps: S1: The generalized mobility describes fluid flow laws in different subset of study area by using the generalized mobility models with the same form; S2: On the basis of generalized mobility, the multi-component multi-phase flow simulation equations are established. Through solving the above mentioned multi-component multi-phase flow simulation equations, the pressure, temperature, saturation, and mole percentage of each component and each phase of multicomponent multiphase flow fluids in study area are obtained; S3: The corresponding application software are formed by using the established multi-component multi-phase flow simulation and analysis equations. The invention plays an important role in solving the single and multi-well flow simulation of complex multicomponent multiphase flow reservoirs, multi-well interference analysis, deliverability analysis, transient pressure analysis, transient rate analysis, transient temperature analysis, well test design, and permanent downhole monitoring data analysis.

In one aspect, a system for allocating fault in a collision involving a vehicle is provided. The system may include (1) a sensor coupled to the vehicle and configured to collect contextual data related to the collision, (2) a non-transitory memory configured to store the contextual data, and (3) a processor coupled to the non-transitory memory and configured to (a) gain access to the contextual data, and (b) compute and assign a fault percentage to a driver of the vehicle based upon the contextual data.

The invention relates to the technical field of wind noise simulation, and discloses a method for improving the precision of solving automobile wind noise based on SNGR, and the method comprises the following steps: S1, building an initial automobile and wind tunnel model, and carrying out the gridding of the model; s2, performing steady-state calculation and transient-state calculation on the model in sequence to obtain a steady-state calculation result and a first transient-state calculation result of the flow field; s3, obtaining a first pulsation term according to the steady-state calculation result and the first transient calculation result; s4, comparing the first pulsation term with a second pulsation term of the SNGR to obtain a correction factor of the second pulsation term; and S5, obtaining a second transient calculation result according to the correction factor, and applying the second transient calculation result to the creation of a sound field to complete wind noise acoustic calculation. According to the method, prediction of the automobile wind noise is more accurate, a more accurate wind noise simulation result can be provided for early whole automobile modeling development, the operation process adaptability is wide, the development period of an automobile can be shortened, and the development cost is saved.

The present invention discloses a node flow optimization distribution method for improving the accuracy of transient hydraulic simulation of a water supply in-series pipeline. The present invention optimizes the flow distribution coefficients of intermediate nodes to minimize the impact thereof on the calculation and analysis of transient flow. Further, the simplified error generated by the node flow distribution can be quantified and evaluated by the control threshold of the simplified errors to achieve effective control of the simplified process. In addition, the simplified operation of the method of the present invention is carried out sequentially from the intermediate node with the smallest simplified error, which effectively overcomes the potential defect of the conventional node flow distribution that leads to a significant reduction in the accuracy of the model, and can ensure the reliability and accuracy of the simplified operation of the same-diameter in-series pipeline.

The invention relates to a vehicle model selection method based on high-speed train far-field noise high-precision simulation. The method comprises the following steps: S1) constructing a geometric model; S2) dividing grids conforming to the flow field characteristics of the high-speed train by cutting the grids; S3) establishing a far-field noise simulation model; S4) carrying out steady-state flow calculation and transient-state flow calculation according to the noise simulation model, S5) setting a sound source surface and collecting noise source data, and S6) carrying out simulation calculation on high-speed train far-field noise to obtain far-field noise of multiple noise receiving points. The method has the advantages of being high in precision and the like compared with the prior art.

The invention discloses an automobile instantaneous fuel consumption monitoring method in an intelligent network connection environment. The method comprises steps that a normalized variable trigonometric function model is preset, and a fuel consumption rate is predicted, in the formula, v represents that the to-be-predicted fuel consumption rate corresponds to the speed of an automobile, a represents that the to-be-predicted fuel consumption rate corresponds to the acceleration of the automobile, and b represents that the to-be-predicted fuel consumption rate corresponds to the acceleration;wherein beta1, beta2, beta3 and beta4 are known parameters, vmin represents the minimum speed value in the actual measurement data sample set under all the comprehensive typical road working conditions, vmax represents the maximum speed value in the actual measurement data sample set under all the comprehensive typical road working conditions, am represents the minimum acceleration value in the actual measurement data sample set under all the comprehensive typical road working conditions, and amin represents the minimum acceleration value in the actual measurement data sample set; and amax represents the maximum speed value in the actual measurement data sample set under all comprehensive typical road working conditions. According to the method, transient fuel consumption under the Internet of Vehicles can be predicted only by using limited four parameters.

The invention discloses an engine hood dynamic fatigue analysis method, which comprises the following steps of: A, performing virtual test field simulation analysis according to a reliability road test working condition to obtain a load of an attachment point of a vehicle body and a chassis; b, according to the load obtained in the step A, carrying out transient frequency response analysis on thebasis of a CAE method, and extracting force and torque of the connection point of the engine hood and the vehicle body; c, according to the force and torque of the connection point of the engine coverand the vehicle body obtained in the step B, carrying out dynamic fatigue analysis of an engine cover system based on a CAE method, and obtaining fatigue performance; d, judging whether the fatigue performance of the engine hood is qualified or not by taking the design requirement as a standard; if so, entering the step F; otherwise, entering the step E; e, optimizing the structural design of theengine cover and the arrangement mode of buffer blocks, and entering the step C; and F, adopting the engine cover structure. The invention provides an efficient engine hood dynamic fatigue analysis method.

The invention provides a transient automobile fuel consumption estimation method and system based on fuel consumption strongly-related parameter correction, and belongs to the technical field of automobile energy consumption estimation.The method comprises the steps that a vehicle fuel consumption steady-state model is established based on vehicle parameter data in a vehicle steady-state driving state, and a transient automobile fuel consumption estimation model is established based on vehicle parameter data in a vehicle unsteady-state driving state; a data analysis method is adopted for feature classification, vehicle parameters strongly related to fuel consumption estimation errors of a steady-state model under different feature categories are obtained through screening, a vehicle sectional type fuel consumption transient correction model is established, error correction is conducted on a vehicle fuel consumption steady-state model, and finally a vehicle sectional type transient fuel consumption model is obtained. Accurate estimation of transient fuel consumption of the vehicle in different driving states can be achieved, vehicle information can be comprehensively reflected, and the accuracy of the model is improved.

The invention disclose a control method of tan intelligent automobile under a variable adhesion coefficient repetitive track, which changes the prediction range according to the adhesion coefficient change probability on the basis of a traditional MPC single prediction range so as to improve the emergency capacity of the intelligent automobile. According to the invention, an iterative learning control method is adopted to track the path, the tracking precision of the path is improved, and the driving stability of the intelligent automobile is improved in combination with a yaw stability controller. The MPC controller calls a corresponding control strategy which may occur in advance according to information provided by an environment sensing module, wherein the corresponding control strategy comprises a corresponding prediction time domain and a constraint set; afterwards, iterative learning control is used as a method for determining correct steering input of transient driving, the tracking performance is improved through multiple iterations, and the driving stability of the intelligent automobile is improved in combination with the yaw stability controller.

The invention discloses an automobile side slip angle observation method based on a fuzzy dynamics system. The method comprises the steps of 1, building a vehicle dynamics model according to the collected vehicle driving information, introducing an uncertainty parameter, and generating a side slip angle observation equation, and enabling the value of the uncertainty parameter to be described by afirst fuzzy set, 2, calculating a transient performance function and a steady-state performance function of the side slip angle observation equation, and calculating optimal adjustable parameters of the side slip angle observation equation through a dynamic game algorithm, the optimal adjustable parameters comprising a first adjustable parameter and a second adjustable parameter, and 3, accordingto the optimal adjustable parameters and the side slip angle observation equation, calculating a side slip angle observation value corresponding to the vehicle driving information. According to the technical scheme, modeling errors of an existing observation method based on a dynamic model are reduced, the accuracy of automobile side slip angle calculation is improved, and the overall performanceof the observer can be improved.

The invention discloses a vehicle kinematics segment extraction method. First, a parameter that can describe a vehicle kinematics characteristic in a complete vehicle kinematics segment is obtained. Then, principal component analysis is performed on the obtained parameter to obtain a parameter that can describe a macro characteristic of the complete kinematics segment. Finally, a parameter that can describe a transient characteristic of the complete kinematics segment is obtained through calculation. The parameter obtained through the principal component analysis mainly focuses on macro description of the kinematics segment. Based on this, this application introduces two parameters: an acceleration and deceleration mileage ratio and a segment power spectral density as transient characteristic description. The acceleration and deceleration mileage ratio represents a ratio of a mileage of a vehicle during acceleration and deceleration driving in the kinematics segment to a total mileageof the segment, that is, an occurrence probability of an acceleration and deceleration process. The segment power spectral density is "power" in a unit frequency, and can represent a severity degree of acceleration and deceleration of the vehicle in the kinematics segment. The method can achieve accurate and efficient extraction.

In one aspect, a system for allocating fault in a collision involving a vehicle is provided. The system may include (1) a sensor coupled to the vehicle and configured to collect contextual data related to the collision, (2) a non-transitory memory configured to store the contextual data, and (3) a processor coupled to the non-transitory memory and configured to (a) gain access to the contextual data, and (b) compute and assign a fault percentage to a driver of the vehicle based upon the contextual data.

The invention provides a method for obtaining the direct route added mass of an underwater vehicle. The method comprises the steps that A, importing an AUV model; B, carrying out grid division; C, verifying grid independence to obtain a better network; D, performing time step independence verification to obtain a better transient simulation time step; E, importing grids; and F, compiling a UDF program and importing the UDF program into fluent for transient simulation. Different from a traditional CFD method based on dynamic grids, the method does not need to use the dynamic grids, simulates the speed change process of the AUV by changing the fluid speed, monitors a resistance value, and solves the added mass through calculation. According to the method, the calculation precision is ensured, the grid requirement is reduced, and the calculation speed is greatly improved. In order to verify the accuracy of the method, CFD simulation and theoretical calculation are carried out on a standard ellipsoid. The deviation between the obtained added mass value and a theoretical calculation value is smaller than 3%, and it is indicated that in the initial stage of design, the result of calculating the added mass of the AUV with any shape in the direct route direction through the method is reliable.

The invention provides a high-precision simulation method for temperature change of a disc brake of a vehicle under a multi-cycle braking working condition. The high-precision simulation method comprises the following steps of S1, building a mathematical model of vehicle speed and brake disc rotating speed change; S2, constructing a solid calculation domain for transient heat conduction and heat radiation calculation; S3, setting a heat flux boundary condition for the friction surface of a brake shoe according to the mathematical model for calculating the brake heat flux in each single cycle;S4, setting a heat flux boundary condition for the friction surface of the brake disc by using a P-in-P algorithm; S5, constructing a fluid calculation domain for carrying out steady-state fluid mechanics calculation; S6, setting a fluid-solid dual-computational domain data mapping strategy, and performing fluid-solid dual-computational domain coupling computation; and S7, stopping the fluid-soliddual-computational domain coupling computation until the test end time point. According to the method, the problems of tedious calculation process and low calculation efficiency caused by excessive CAE analysis software involved in the calculation of the temperature change of the vehicle disc brake under the multi-cycle braking working condition in the existing simulation method can be solved.

The invention discloses a permeable asphalt pavement permeability evaluation method based on fluid-solid coupling analysis, which includes indoor tests to determine material parameters and hydrological parameters of each structural layer of the pavement; establishment of unsaturated seepage models of each structural layer; establishment of a permeable asphalt pavement system The numerical model simulates the initial humidity field inside the pavement system; analyzes the rainfall infiltration process based on the saturated-unsaturated fluid-solid coupling theory, and simulates the dynamic change of the humidity field under rainfall conditions; evaluates the permeability of permeable asphalt pavement. The method of the present invention comprehensively considers the influence of the initial humidity field caused by the groundwater within the range of the road surface and the type of roadbed soil on the internal permeability of the road surface, and more accurately simulates the mutual coupling and influence between the rainfall infiltration process and the fluctuation of the groundwater level; the indoor test Combined with numerical simulation, the transient analysis of the rainfall infiltration process inside the permeable asphalt pavement system can be realized, which can more intuitively evaluate the permeability performance of the road structure, which is feasible and efficient.

A roadside assistance system and method. The system includes a user device and a plurality of provider devices, each including a display, an input mechanism, a GPS module, a wireless transceiver, a processor, a non-transitory computer readable medium operatively connected to the processor, and a logic stored in the non-transitory computer readable medium that, when executed by the processor, causes the system to perform a method. The method includes receiving information relating to current traffic conditions from a remote database, calculating an optimal service provider based on service provider locations, work status, and current traffic conditions, and displaying an estimated arrival time based on current traffic conditions. The system allows users to quickly and easily request roadside assistance with the assurance of an accurate arrival time.

The invention discloses a dry-type transformer mechanical vibration simulation analysis method under a highway transportation working condition, and the method comprises the steps: employing finite element simulation software HyperWorks to simulate the structural size, assembly relation and fixing form of a transformer to the maximum degree, guaranteeing the grid quality, and improving the solvingefficiency; starting from the perspective of probability statistics; selecting a corresponding road transportation machinery environment condition to simulate road surface bumping borne by the carrying vehicle; random vibration simulation of the transformer is completed; obtaining a stress response probability statistical value through simulation; comparing the mechanical strength attributes of the material; according to the method, the structure where the mechanical strength of the transformer is most likely to fail in the highway transportation process is judged, the problem that the randomness of road bump cannot be simulated through transient impact simulation is solved, the reliability of the transformer under the highway transportation working condition can be evaluated in advance in the product research and development stage, and the most reliable product structure is optimized.

The invention discloses a method for establishing a unified dq impedance model of a high-speed train, which considers complete structures of all control links in the modeling process to obtain a dq impedance model with higher accuracy. And when the transient direct current control train and the dq decoupling control train are connected in parallel at the same time, the established model with the dq impedance model of the existing dq decoupling control train are connected in parallel to obtain a train unified impedance model. Based on the model, the low-frequency stability of the system can be accurately analyzed by using a generalized Nyquist criterion.

In one aspect, a system for allocating fault in a collision involving a vehicle is provided. The system may include (1) a sensor coupled to the vehicle and configured to collect contextual data related to the collision, (2) a non-transitory memory configured to store the contextual data, and (3) a processor coupled to the non-transitory memory and configured to (a) gain access to the contextual data, and (b) compute and assign a fault percentage to a driver of the vehicle based upon the contextual data.

The invention relates to a method for calculating flow resistance and noise of automobile fluid pipeline products, which is characterized in that pressure drop of an inlet and an outlet of a pipeline and a noise pressure level of a detection point are calculated through CFD numerical simulation, and the flow resistance and the noise of the pipeline can be analyzed based on a calculation result. The method comprises the following steps: establishing a geometric model of an automobile pipeline fluid domain, and determining the position of a noise monitoring point; importing the geometric model into grid division software to generate a three-dimensional grid; importing the grids into fluid simulation software; setting calculation control parameters in fluid simulation software, endowing the model material with characteristic parameters, determining boundary conditions and performing steady-state calculation; after steady-state calculation is completed, noise monitoring points are set, control parameters are changed, the time step length and the step number are set, and transient calculation is carried out; and obtaining required data after a result is calculated, and calculating the pressure drop of a pipeline product and the noise of a monitoring point. And whether the flow resistance and noise elimination design of the product meet the requirements or not can be analyzed, and a basis is provided for model selection and development of the product.

The invention relates to a vehicle bench test simulation road test transient condition loading method. According to test statistics, a formula of a difference of a road test system resistance formula and a bench test system resistance formula of vehicle neutral gear sliding in different reference quality ranges is obtained; there is no need to test a detected vehicle or calculate system resistance of the road test and the bench test. The vehicle reference quality is used to replace the sum of a vehicle translation quality and a correlated revolving member equivalent inertia and there is no need to measure the correlated revolving member equivalent inertia of the detected vehicle. When constant-speed condition simulation is carried out, the formula of the road test system resistance and bench test system resistance formula difference is used to determine a loading force to carry out constant force control; and when accelerated condition simulation is carried out, product of a difference between the vehicle reference quality and a stand basic quality and a regulated accelerated speed is added; and speed changing and loading force changing are employed to control loading.

The present invention provides a method for optimizing transient performance parameters of vehicle handling stability based on sensitivity analysis, which includes the following steps: Step S10, establishing a vehicle dynamics simulation model by using virtual prototype technology, and simulating vehicle dynamics according to the actual parameters of the vehicle Modify the parameters of the model; step S20, score the initial transient performance of the vehicle dynamics simulation model according to the vehicle handling stability evaluation index; step S30, perform sensitivity analysis on the vehicle dynamics simulation model, and screen out parameters with high sensitivity; In step S40, parameters with high sensitivity are optimized by the isight optimization tool; in step S50, the transient performance of the vehicle dynamics simulation model after parameter optimization is scored according to the evaluation index of vehicle handling stability. The advantages of the present invention lie in that the steering stability of the vehicle is optimized in the design stage, the cost of the vehicle is reduced, and the safety is improved.

The invention provides a CAE analysis method for motorcycle strength based on a virtual pavement and explicit transient dynamics, and the method comprises the following steps: S1, constructing a virtual pavement for testing the fatigue strength of a motorcycle, and determining a stress-strain curve corresponding to a material used by the motorcycle; s2, determining a rigidity and damping force curve of a shock absorber of the motorcycle; s3, building a tire model of the motorcycle through finite element software; s4, constructing a whole motorcycle 3D model matched with the motorcycle through finite element software; s5, constructing a driving system model of the whole vehicle and the virtual road surface in finite element software; s6, calculating the running process of the whole vehicle on the virtual road surface through finite element software, and obtaining acceleration, displacement and stress information in the calculation process; and S7, through the acceleration, displacement and stress information, optimizing and improving the whole vehicle by utilizing an optimization function of the finite element software, entering the step S4 until the optimization is completed, obtaining the optimal acceleration, displacement and stress information, and ending.