58 results about "Hardpoint" patented technology

The invention provides a modeling and KC analysis method for a double-front-axle balanced suspension. The modeling method comprises the steps that the structural form of the double-front-axle balanced suspension is determined; constructing a plate spring model of the double-front-axle balanced suspension; under the structural form, hard point coordinates in the double-front-axle balanced suspension are determined; and establishing the hard point coordinates in the plate spring model to obtain a corresponding balance connecting rod model, and assembling the balance connecting rod model to obtain an assembly body model of the double-front-axle balanced suspension. The KC analysis method comprises the following steps: newly adding a first-bridge and second-bridge reverse jumping working condition in a KC analysis project; and performing KC analysis on the assembly model of the double-front-axle balanced suspension on the basis of the first and second axle reverse jumping working condition to obtain a KC performance index of the assembly model under the first and second axle reverse jumping working condition. By means of the method and device, the defects existing in modeling and KC analysis modes of double-front-axle balanced suspensions and vehicle suspensions in the prior art are overcome.

An unmanned aerial vehicle includes an airframe and a plurality of rotor assemblies operatively connected to the airframe and configured to propel the unmanned aerial vehicle. The air frame includes a plurality of tubes and a plurality of hardpoints. Each of the plurality of hardpoints may include a tubular protrusion for receiving one of the plurality of tubes. The unmanned aerial vehicle may further include structural adhesive bonding the tubular protrusion of each of the plurality of hardpoints to a corresponding one of the plurality of tubes.

The invention belongs to the technical field of vehicle engineering target testing, and particularly relates to a method for verifying the height of a vehicle based on a suspension hard point. Reloading a sample piece, refueling a test vehicle, calibrating tire pressure, and carrying out a dynamic inspection test; the hard point height DMU analyzes and obtains theoretical heights of an inner front point of a front lower control arm and an inner point of a rear lower control arm of the test vehicle in the no-load state of the whole vehicle, actually measures and obtains actual heights of the inner front point of the front lower control arm and the inner point of the rear lower control arm of the test vehicle in the no-load state, and calculates and corrects the spring load; and manufacturing a front spiral spring and a rear spiral spring according to the no-load correction value, and obtaining the actual height of the inner front point of the front lower control arm and the inner point of the rear lower control arm of the test vehicle in the no-load state until the actual height is the same as the theoretical height. And the height of the automobile is adjusted by converting the lever ratio of the spring and reversely pushing the no-load load of the spring.

The invention belongs to the technical field of suspension vibration reduction, and particularly relates to an integrated design and characteristic calculation method for a suspension system, which comprises the following steps of: firstly, extracting dynamic and static strokes, static balance positions and other requirements of the suspension vibration isolation system according to overall arrangement requirements and load distribution of each wheel position; the vertical rigidity of a nonlinear suspension static balance position is checked and calculated through a load and a static stroke, hydro-pneumatic spring characteristic matching and guide mechanism hard point coordinate design are carried out respectively, kinematics simulation analysis is carried out by taking arrangement space and suspension geometric kinematics as constraints, suspension vibration isolation system hard point design is carried out, and a suspension vibration isolation system is obtained. A corresponding nonlinear rigidity model and an adjustable vibration reduction valve system damping characteristic model are constructed in combination with a suspension thermodynamic model, structural parameters of key elements of the hydro-pneumatic spring are determined, finally, structural design of the suspension system is conducted in combination with the design scheme of the hydro-pneumatic spring and a guide mechanism, and the process of hard point coordinate, structural parameter and strength analysis is repeatedly iterated. And finally, a high-compactness nonlinear suspension system scheme is formed.

The invention discloses a load extraction method and device, electronic equipment and a computer readable storage medium. The load extraction method comprises the steps that hard point numbers and hard point coordinates of all hard points in a vehicle body simulation structure are acquired; traversal processing is carried out in a first mapping relation table according to the hard point coordinates, hard point codes corresponding to the hard point coordinates are obtained, and the first mapping relation table comprises the corresponding relation between the preset hard point coordinates and the preset hard point codes; traversal processing is carried out in a second mapping relation table according to the hard point codes, hard point loads corresponding to the hard point codes are obtained, and the second mapping relation table comprises the corresponding relation between the preset hard point codes and the preset hard point loads. Therefore, automatic load extraction is achieved through the multiple mapping relation tables, and the efficiency and accuracy of load extraction are improved.

The invention discloses a transmission shaft included angle optimization method, device and equipment and a computer readable storage medium, and the transmission shaft included angle optimization method comprises the steps: drawing a tolerance-transmission shaft included angle change curve graph of a power assembly relative to a wheel center point in X, Y and Z directions based on a power assembly and chassis system model meeting the theoretical design requirements of the transmission shaft included angle; identifying the tolerance direction with the maximum included angle sensitivity degree of the transmission shaft; according to the tolerance-transmission shaft included angle change curve graphs in the X, Y and Z directions and the tolerance ranges of the power assembly relative to the wheel center point in the X, Y and Z directions, the distribution range of the transmission shaft included angle in the tolerance ranges is determined, and whether the distribution range of the transmission shaft included angle exceeds the theoretical design requirement or not is judged; and if yes, adjusting the arrangement hard point of the power assembly model in the tolerance direction with the maximum transmission shaft included angle sensitivity degree until the distribution range of the transmission shaft included angle meets the theoretical design requirement. And aiming at sensitive direction optimization, the problem is effectively solved, and the optimization efficiency is improved.

The invention provides a stabilizer bar modeling method, device and equipment and a storage medium, and relates to the technical field of vehicle chassis design and development. The method comprises the following steps: acquiring a digital-analog file of the stabilizer bar, and analyzing the digital-analog file to obtain geometric information of the stabilizer bar; performing curve fitting according to the geometric information to generate a parameterized curve representing the center line of the stabilizer bar; according to a preset number of hard points, carrying out equipartition sampling on a parameter domain of the parameterized curve to generate a hard point coordinate set; and based on the hard point coordinate set, constructing a multi-body dynamic model of the stabilizer bar in a simulation environment. According to the method, automatic and high-precision extraction of the hard point coordinates is realized, so that a traditional low-efficiency mode of manual identification and measurement depending on artificial experience is effectively improved; and the hard point coordinate set is generated according to the preset number of hard points, and the multi-body dynamic model of the stabilizer bar is automatically constructed in a simulation environment, so that the problems of low modeling efficiency, large error and complex flow of the stabilizer bar are effectively improved.

The application relates to a shock absorber road load acquisition method, an analysis method and system and a storage medium, which comprise the following steps: determining hard points connected with other components in a shock absorber assembly in a suspension design state; establishing a shock absorber assembly dynamics model, and establishing a local load coordinate system of each hard point related to the dynamic load of a shock absorber piston rod on the shock absorber piston rod; establishing a local load coordinate system of each hard point related to the dynamic load of a shock absorber cylinder on the shock absorber cylinder; setting displacement output between an upper point of the shock absorber piston rod and a lower fixed center point of the shock absorber, force and torque output borne by the shock absorber piston rod, and force and torque output borne by the shock absorber cylinder; establishing a whole vehicle multi-body dynamics model; and simulating the response of each system of the vehicle under various virtual road surface excitations. The application can truly simulate the change condition of the shock absorber road load.

A method, device, readable storage medium, and electronic device for determining the hardpoint position of a nacelle. The method comprises: obtaining a basic collision finite element model of a vehicle and an analysis matrix; performing model transformation on the basic collision finite element model according to the analysis matrix to obtain multiple collision finite element models; performing model calculations on each collision finite element model and reading the values ​​of target parameters from the calculation results of each collision finite element model; calculating the value of a corresponding objective function based on the target parameters of each collision finite element model, wherein the objective function is a collision safety function established based on peak acceleration, longitudinal beam deformation, and longitudinal beam energy absorption; determining the maximum value among the calculated objective function values, and determining the nacelle hardpoint position based on the collision finite element model corresponding to the maximum value. This method can quickly determine the nacelle hardpoint position, ensuring vehicle safety.

The present invention discloses a forward design method, device and system for automobile bodies in the concept stage, the method comprising: building a body-in-white solid grid skeleton model; optimizing the body-in-white solid grid skeleton model; interpreting the optimized body-in-white solid grid skeleton model and converting it into a body-in-white skeleton geometric model; determining the key cross-sections, joint hard points, crossbeams and reinforcement positions of the body-in-white; establishing a competitive vehicle database; assembling a hybrid model; analyzing the sensitivity of the hybrid model, and optimizing the cross-sections and joints of the upper body; optimizing the structure of the three-dimensional conceptual data of the lower body; assembling a body-in-white conceptual three-dimensional data model; and verifying whether the performance of each subject of the body-in-white conceptual three-dimensional data model meets the requirements. The implementation of the present invention can reduce the R&D cycle of an enterprise, grasp the body performance in real time during the concept design stage, and reduce unnecessary repetitive labor.

The invention provides a hard point data processing method and device, equipment, a medium and a product, and relates to the technical field of data processing. The method comprises the steps that a first hard point data list comprising at least one piece of to-be-modeled vehicle part hard point data and a second hard point data list which is stored in a database and comprises multiple pieces of vehicle part template hard point data are obtained, and the hard point data comprise hard point names and hard point coordinate values; based on the first hard point data list and the second hard point data list, hard point coordinate values, matched with hard point names in the second hard point data list, in the first hard point data list are replaced into the second hard point data through an editing distance algorithm, and the processed second hard point data list is obtained and output. By means of the method, errors caused by manual intervention are reduced, the efficiency and accuracy of hard point data processing are improved, and then the efficiency and accuracy of vehicle part modeling are improved.

The present disclosure provides a virtual detection method and system for a steering column with intermediate shaft assembly, and relates to the technical field of automobile design. The method comprises: building a parameterized model of the steering column with intermediate shaft assembly; sequentially performing intermediate shaft torque fluctuation detection, intermediate shaft envelope detection, and model motion envelope detection on the built parameterized model of the steering column with intermediate shaft assembly; wherein building the parameterized model of the steering column with intermediate shaft assembly comprises: determining the initial positions of each hard point in the steering column with intermediate shaft assembly, and obtaining the coordinates of each hard point; generating a hard point design table based on parameterized design, building a simplified boundary model of the steering column with intermediate shaft assembly, and associating the simplified boundary model with the hard point design table; establishing a motion command of a moving part, and a motion trajectory and an envelope type of each motion, and completing the building of the parameterized model of the steering column with intermediate shaft assembly. The present disclosure can improve the development and design efficiency of the steering column with intermediate shaft assembly.

The embodiment of the invention provides a modeling and analysis method for suspension four-wheel positioning angle tolerance sensitivity analysis, and the method comprises the steps: obtaining the structural information of a suspension system and the geometric data of system parts, and building a multi-body dynamic model based on the structural information and the geometric data; replacing a rigid kinematic pair in the multi-body dynamic model with a bushing pair, and setting a rigidity parameter of the corresponding bushing pair according to the type of the replaced rigid kinematic pair; collecting process information of system parts, designing a hard point tolerance range based on the process information and an error range of the suspension system, and adjusting a pre-offset value of a bushing pair according to the hard point tolerance range; the rigidity parameters and the pre-offset values of different lining pairs are modified for simulation, simulation results of each time are recorded, and the simulation results are compared to determine the sensitivity influence factors of the four-wheel positioning angle.

The invention provides a 3D automatic modeling method and system for an automobile control arm, and relates to the technical field of vehicle chassis, and the method comprises the steps: taking three key hard point coordinates and reference lines required by whole vehicle assembly as input, and automatically constructing a local working coordinate system consistent with the whole vehicle arrangement; comprehensive parameterization definition is carried out on the control arm body and key structure characteristics such as a weight reduction groove, a weight reduction hole and a bolt boss, and deep coupling of the modeling process and the whole vehicle space relation is achieved; geometric features are generated from top to bottom according to an object tree structure in a CATIA environment, and dynamic association between parameters and sketch sizes is established, so that automatic updating of the model can be triggered by adjustment of any design parameter, and a control arm 3D model completely matched with a current whole vehicle arrangement scheme is efficiently and accurately generated. According to the method, the modeling efficiency and the design flexibility are remarkably improved, and the technical bottlenecks that traditional manual modeling is slow in response, large in repeated labor and difficult to adapt to variable arrangement requirements are effectively solved.

The present application discloses a load decomposition method and device, including: establishing a multi-body model of a bus suspension. Selecting a jump-side wheel from the wheels in the multi-body model of the bus suspension, and applying an upward input vertical load at the ground contact point of the jump-side wheel. Selecting a non-jump-side wheel corresponding to the jump-side wheel, and obtaining a target correction load for the non-jump-side wheel according to the non-jump-side static condition, wherein the value of the target correction load is greater than the static load. Applying an upward target correction load at the ground contact point of the non-jump-side wheel. Based on the multi-body model of the bus suspension, static load simulation is performed using the applied input vertical load and the target correction load to obtain the six-direction force loads at the hard points where the bus suspension and the body are connected. The loads at the hard points where the vehicle suspension and the body are connected extracted by the present application are more accurate and consistent with the actual driving conditions of the bus.

The application provides a method, device, equipment and storage medium for improving simulation accuracy of a lower control arm. The method comprises the following steps: 1, importing a geometric model and dividing a grid; 2, establishing a Connector unit; 3, defining a direction of the Connector unit and correcting stiffness; 4, defining contact on the control arm; 5, restricting inner point and outer point degrees of freedom of the control arm; 6, defining different materials and properties according to an analysis working condition; 7, applying a decomposition load; 8, submitting finite element software analysis; 9, checking a result; 10, post-processing and evaluating the result. The application eliminates rigid body displacement through the restriction of the inner point and the outer point, thereby avoiding various restrictions caused by an inertia release algorithm; and through inner point and outer point bush stiffness correction and loading of all hard points, the application reduces load loss caused by bush stiffness to an acceptable range of accuracy, so that actual load of the control arm approaches the decomposition load, and the application can realize combined loading analysis of control arms in different spatial positions of multiple vehicle models in the same platform.

The transmission shaft included angle optimization method, device, equipment and computer readable storage medium, transmission shaft included angle optimization method includes: based on meeting the power assembly and chassis system model of transmission shaft included angle theoretical design requirement, draw the tolerance-transmission shaft included angle change curve diagram of power assembly relative to wheel center point in X, Y, Z three directions, and identify the tolerance direction with the most sensitive degree of transmission shaft included angle;According to the tolerance-transmission shaft included angle change curve diagram of X, Y, Z three directions and the tolerance range of power assembly relative to wheel center point in X, Y, Z three directions, determine the distribution range of transmission shaft included angle in the tolerance range, and judge whether the distribution range of transmission shaft included angle exceeds the theoretical design requirement;If yes, adjust the arrangement hard point of power assembly model in the tolerance direction with the most sensitive degree of transmission shaft included angle until the distribution range of transmission shaft included angle meets the theoretical design requirement. For sensitive direction optimization, effectively solve the problem and improve the optimization efficiency.

This invention discloses a virtual kingpin optimization and control method for a steerable chassis angle module. The method includes: applying design conditions to trigger the virtual kingpin to generate coupled motion; analyzing the hardpoint architecture to obtain the kinematic and elastic kinematic characteristics of the kingpin; measuring wheel alignment parameters; establishing differential equations to solve the virtual kingpin positioning parameters; optimizing the hardpoint structure to select the optimal value; inputting the control target; calculating the steering feedback torque; and executing closed-loop control to output the drive current. This invention improves the accuracy of kingpin kinematic calculation through multi-condition coupled analysis, establishes a quantitative mapping relationship between wheel attitude and kingpin parameters, applies instantaneous axis theory to achieve accurate calculation of kingpin positioning parameters, uses sensitivity analysis and weighted optimization to improve hardpoint optimization efficiency, introduces kingpin dynamic characteristics to improve the accuracy of return torque calculation, and constructs a dual closed-loop control system to enhance response speed and robustness. This effectively improves the ease of operation, driving stability, and steering control accuracy of the steerable chassis angle module.

This application discloses a DMU model design method, system, and storage medium for a single-wishbone rear suspension. Based on the structural characteristics of the single-wishbone rear suspension, the method establishes a database containing physical hardpoints and derived geometric features. By defining derived geometric features, the kinematic logic of the suspension is embedded in the database, giving the model not only geometric shape but also kinematic semantics. The suspension is divided into multiple sub-models such as the body, control arms, and springs, and these are bound to the database to achieve linked updates of geometric positions. In a virtual assembly environment, motion simulation is performed by configuring kinematic pairs based on hardpoints and applying wheel hop drive. This design method achieves data-driven parametric modeling, enabling rapid response to design changes, automatic generation of wheel camber angle and drive shaft length variation curves, effective evaluation of suspension kinematic performance, and significantly improved suspension development efficiency and design rationality.

The invention discloses a parametric modeling method and system for a double-wishbone suspension, a medium and equipment, and relates to the technical field of automobile digital software design. The method comprises the following steps: acquiring a hard point coordinate of a to-be-constructed double-wishbone suspension structure, and preprocessing the hard point coordinate; establishing a parameterized model of the double-wishbone suspension in the modeling platform based on the spatial position, the connection relationship and the motion constraint of each part; working condition simulation is carried out on the parameterized model of the double-wishbone suspension according to task requirements, a kinematic pair gap error is calculated according to a simulation result, and parameters of the parameterized model of the double-wishbone suspension are optimized based on gradient reverse optimization. According to the method, efficient and accurate parametric modeling of the double-wishbone suspension can be realized.

The invention provides a double-front-axle balanced suspension design method, and belongs to the technical field of balanced suspension structural design, and the technical scheme is as follows: S1, determining a target offset frequency, a target axle load sharing requirement and a target average damping ratio of a balanced suspension; s2, calculating rigidity parameters of the first-axle front plate spring and the second-axle front plate spring according to the target offset frequency; s3, the hard point position and the rotating angle of the balance swing arm assembly are designed; s4, the hard point position and the rotating angle of the balance swing arm assembly are verified, if verification is not qualified, the step S3 is repeated, and if verification is qualified, the step S5 is executed; s5, establishing a suspension system model, and performing simulation analysis on strength, rigidity and fatigue life of the model; s6, if simulation is not qualified, the step S5 is repeated, if simulation is qualified, a sample piece is trial-manufactured, and a whole vehicle road test is carried out. The method has the beneficial effects that the fluctuation amplitude of the parallelism of the two front axles can be controlled within an allowable range by optimizing the hard point design.

The application provides an Ackermann rate calculation method and device based on a front axle structure and a computer readable storage medium, and the method comprises the following steps: constructing a geometric model of a front axle steering trapezoid, wherein the geometric model comprises key hard point parameters; in the geometric model, the key hard point parameters are used to construct a relationship model between an inner wheel steering angle and an outer wheel steering angle; the outer wheel steering angle corresponding to the inner wheel steering angle under the current key hard point parameters is calculated based on the relationship model between the inner wheel steering angle and the outer wheel steering angle, and the Ackermann rate of the current front axle structure is calculated. Through the above geometric analysis method, the complex spatial kinematics problem is converted into a plane geometric calculation problem, which not only guarantees the calculation accuracy, but more importantly, realizes instant feedback of the front axle steering trapezoid design and the Ackermann rate evaluation, and greatly improves the early development and optimization efficiency of the chassis steering system.

This invention relates to the field of automotive engineering technology and provides a method for predicting the dynamic dimensions of leaf springs, comprising the following steps: S1, inputting the determined arc length S and arc height H of the leaf spring into a leaf spring parameter calculation model, and outputting leaf spring parameters, including the radius R, central angle α, and chord length L of the leaf spring; S2, applying the corrected leaf spring parameters to the overall vehicle hardpoint design and general layout drawing through two iterative approximations. When setting the arc length and arc height of the leaf spring, the central angle, radius, and chord length of the main leaf spring plate with engineering precision can be analyzed, satisfying the various dimensions required for drawing the characteristic graphics of the main leaf spring plate with engineering precision, and meeting the boundary requirements of the hardpoints of the leaf spring in the overall vehicle design for the general layout design.

The invention discloses a high-precision asynchronous Kalman filtering fusion hard point marking method, device and equipment and a medium. The method comprises the following steps: processing a state transition equation and an observation equation through extended Kalman filtering or unscented Kalman filtering; s12, acquiring an observation value of the target electrified automobile in real time based on a preset sensor; s13, on the basis of an asynchronous data updating mechanism, after the observation value is updated, prediction updating is carried out; s14, outputting optimal state estimation; s15, judging whether the GNSS signal is valid or not; if so, continuing to execute the step S13 by using the GNSS signal; if not, executing S13 based on an inertial navigation mode; and S16, when vibration impact is detected, acquiring a hard point position based on the optimal state estimation and the synchronization time information. The invention belongs to the field of hard point position detection. The position of the hard point can be accurately detected.

The invention relates to a suspension hard point determination method, device and system for a suspension dynamical model, and the method comprises the steps: obtaining structure data obtained through the measurement of a preset rack; wherein an automobile suspension component is assembled on the preset rack; calculating a first hard point coordinate of the automobile suspension component according to the structural data; calculating a second hard point coordinate based on the suspension dynamical model of the automobile suspension component; and determining a target suspension hard point of the suspension dynamical model according to offset information between the first hard point coordinate and the second hard point coordinate. Through the method and the device, the problem of low accuracy of suspension hard point determination is solved.

This invention discloses a method and apparatus for optimizing engine hood structure, belonging to the technical field of vehicle body structure optimization. First, based on the hard point gap distribution in the engine compartment, the functional zoning of the energy-absorbing core layer is completed, and honeycomb, negative Poisson's ratio, and honeycomb composite sandwich structures are customized. Then, a dual-stream encoder multimodal deep learning proxy model is constructed, introducing uncertainty quantification and active learning closed-loop to ensure accuracy. Finally, the optimal solution is output through dual-objective multi-objective optimization and simulation verification. While meeting regulatory and mass production requirements, it achieves synergistic optimization of pedestrian protection and lightweighting, significantly improving optimization efficiency and result reliability.

This invention discloses a suspension hardpoint connection structure for a chassis, comprising a hanger pin assembly, an anti-rotation steel sleeve, and two composite bushings. The anti-rotation steel sleeve is inserted into the mounting hole of the body hardpoint, with an interference fit between its outer periphery and the hardpoint. One of the composite bushings is also interference-fitted internally, while the other composite bushing is interference-fitted into the mounting hole at the end of the body leaf spring. The hanger pin assembly connects the body hardpoint and the composite bushing within the body leaf spring, ensuring a stable connection. The elastic deformation capability of the composite bushings in this invention can compensate for assembly eccentricity or non-uniform contact, eliminating abnormal wear and vibration noise during the use of new energy vehicles. By reducing abnormal wear, the service life of the connection parts is increased, reducing the need for frequent maintenance of the suspension system in new energy vehicles and significantly improving the durability, reliability, and ride comfort of the suspension hardpoint connection.

The invention discloses a vehicle driving space design method, device and equipment and a medium. The vehicle driving space design method comprises the steps of obtaining an initial hard point parameter value of a target vehicle driving space, and creating a man-machine model and a whole vehicle data model based on the initial hard point parameter value; according to a man-machine model, a whole vehicle data model, a man-machine verification rule and a man-machine comfort evaluation rule, performing two rounds of evaluation on the initial hard point parameter value to obtain an actual hard point parameter value to be verified; and obtaining a real object evaluation score of a man-machine physical rack constructed by the actual to-be-verified hard spot parameter value, and determining a driving space optimization hard spot parameter value according to the real object evaluation score and a development score threshold. According to the technical scheme, the design efficiency of the hard spot parameter values can be improved, and therefore the vehicle development period is shortened.

The invention discloses a Macpherson suspension front lower control arm structure and a modular design method, and belongs to the technical field of suspensions. A Macpherson suspension front lower control arm structure comprises a control arm body, a ball head sleeve is arranged at one end of the control arm body, a lining sleeve is arranged at the second end of the control arm body, and a stud is arranged at the third end of the control arm body; the ball pin assembly is mounted on the ball sleeve in an interference fit manner; the front bushing is mounted on the bushing sleeve in an interference fit manner; and the rear bushing is mounted on the stud. The ball pin assembly, the front lining and the rear lining are used as the minimum components of newly developed or borrowed existing products and can be designed and developed according to different requirements, under the condition that hard points are close in arrangement, modularization can be achieved in a layering and on-demand combination mode, and the management cost and the number of molds are reduced.

An unmanned aerial vehicle includes an airframe and a plurality of rotor assemblies operatively connected to the airframe and configured to propel the unmanned aerial vehicle. The air frame includes a plurality of tubes and a plurality of hardpoints. Each of the plurality of hardpoints may include a tubular protrusion for receiving one of the plurality of tubes. The unmanned aerial vehicle may further include structural adhesive bonding the tubular protrusion of each of the plurality of hardpoints to a corresponding one of the plurality of tubes.