178results about "Vehicle shock testing" patented technology

The invention relates to the technical field of biomechanical detection and automobile safety evaluation, and discloses an automobile collision dummy abdomen safety test device and method. The testing device comprises a human body feature modeling module which is used for establishing a target population abdomen parameterized model based on statistical analysis, determining a key size design domain covering target population percentile and constructing a target population metrology database; the abdominal mechanical property simulation module is used for obtaining a human tissue relative density distribution function based on the hyperelastic constitutive model, taking the density distribution function as an input parameter for manufacturing a gradient honeycomb structure and simulating human abdominal mechanical properties through relative density gradient distribution in the thickness direction; the multi-mode sensor integration module adopts a distributed intelligent sensing network architecture and is composed of a sensing layer, a transmission layer and a processing layer. By integrating pressure, deformation, acceleration and tissue stress sensors and combining a real-time feedback algorithm, collision parameters are dynamically optimized, and the test precision and the biological fidelity are improved.

The invention discloses an impact resistance test device and method for an energy-absorbing anti-collision structural member, and relates to the technical field of automobile anti-collision members. Comprising a support, a drop hammer mechanism arranged on the support and capable of sliding in the Z direction, a clamp arranged at the bottom of the support and used for clamping a test piece, and a force value sensor arranged below the clamp and used for collecting impact force borne by the test piece. The first displacement detection component is arranged above the test piece and can be used for measuring the concave depth of the upper surface of the test piece, the second displacement detection component is arranged between the test piece and the force value sensor and is used for measuring the convex height of the lower surface of the test piece, and the first displacement detection component can move in the X direction and the Y direction. The first displacement detection component can measure the concave depth of the upper surface of the sample in a multi-point mode, the second displacement detection component can measure the protruding height of the lower surface of the sample, it is ensured that the initial error can be accurately deducted from the displacement variation after impact, and the measurement precision of the upper and lower surface deformation of the sample is improved.

The invention provides an automobile collision human body biomechanical response channel construction method and system. The method specifically comprises the following steps: acquiring test data; aligning the biomechanical time domain signal in the signal loading stage to obtain an alignment signal; performing principal component decomposition on the alignment signal, and extracting a feature value of the alignment signal; based on the human body parameters corresponding to the alignment signals, constructing a prediction model between the feature values of the alignment signals and the human body parameters; inputting the target human body parameter into a prediction model, and predicting to obtain a biomechanical response channel parameter corresponding to the target human body parameter; the biomechanical time domain signals in the signal loading stage are aligned to improve the consistency of the signals, and the aligned signals are subjected to principal component decomposition to reduce the calculation amount. And the prediction model between the feature value of the alignment signal and the human body parameter is constructed to realize automatic prediction to obtain the biomechanical response channel corresponding to the target human body parameter, so that the prediction efficiency is improved on the basis of ensuring the prediction accuracy.

The invention discloses an AI modeling-based automobile bumper parameter determination method and system, relates to the technical field of AI modeling, is used for solving the problem of deviation in automobile bumper parameter determination, and selects a distance between an impact point and an automobile door according to an impact angle to calculate a side angle impact score by calling an AI modeling bumper parameter data packet and a confirmation mechanism. A simulated impact experiment is conducted, a diagonal deformation difference value and an extrusion force difference value of the front bumper and the rear bumper are obtained to generate a diagonal response score, a collision angle collision coefficient is obtained in combination with a side angle collision score and marked as side face collision or front face collision, a side face collision label is called, the number is counted, and whether a parameter supplement rule is introduced or not is judged; the maximum deformation and the residual deformation are collected to calculate the deformation recovery rate, a fatigue supplement coefficient is obtained by combining the number of the side impact labels, whether the deformation recovery rate is introduced or not is judged according to the fatigue supplement coefficient, a parameter confirmation mechanism is imported after screening, and intelligent distinguishing of impact modes at different impact angles is achieved.

The invention provides a bumper assembly low-speed collision test system and method, and the system comprises a mobile barrier trolley, a universal rapid installation clamp, a multi-sensor integrated measurement module, and a data collection and processing system, and can adapt to different bumper assemblies to be tested through the universal rapid installation clamp, simulates the real collision process, and improves the test precision. In the process that the traction system drives the movable barrier trolley to move along the track to conduct the collision test, the multi-sensor integrated measurement module can collect collision data and draw a data curve, and the accuracy of the collision test result is improved. And then the data acquisition and processing system scores the maintenance economy, the energy absorption efficiency, the passenger protectiveness and the structural integrity according to the collision data and the data curve, grades the collision test result according to the scoring result, and finally can output a depth test report containing rating and improvement suggestions. The method is used for supporting and improving the design and optimization capability of the bumper assembly.

The invention relates to a collision test method and system of a power battery, a vehicle and electronic equipment, and relates to the technical field of battery testing. The method comprises the following steps: carrying out a collision test on a vehicle to obtain an extrusion boundary of a power battery assembled in the vehicle; wherein the extrusion boundary comprises the maximum allowable deformation amount and the maximum allowable deformation speed; and based on the extrusion boundary, performing a collision test on the power battery to determine the safety performance of the power battery. Therefore, the collision test can be carried out on the power battery under a more accurate working condition.

The invention belongs to the field of wheel road tests and bench tests, and particularly relates to a wheel bench impact test method and system equivalent to test field road impact. The method comprises the following steps: determining a road impact condition of a vehicle for road test; the road impact working condition is reproduced; in the reproduced road impact working condition, simulation prediction of rack impact test energy is carried out; and generating a bench impact test scheme based on a simulation prediction result. Compared with a traditional road test, the method has the same test effect, the test period can be greatly shortened, test resources and cost are saved, potential risks of the wheel road test are found in advance, and a necessary rapid test verification means is provided for wheel design and verification. The assessment of the road test on the wheel is equivalent to the bench test, the reliability of the road test on the wheel is verified before the whole vehicle road test, the risk of failure of the wheel in the whole vehicle road test stage is reduced, and the method is wide in application range, simple, reliable and low in cost.

The invention relates to the technical field of automobile testing equipment, and discloses a new energy automobile chassis load testing device which comprises a testing table, a ramp is connected to one side of the surface of the testing table, electric sliding rails are symmetrically installed on the two sides of the testing table, and walking frames are slidably arranged in the electric sliding rails. Telescopic rods are arranged on the two sides, close to each other, of the walking frame, pressure detection mechanisms are arranged at the tops of the two sides of each telescopic rod correspondingly, each pressure detection mechanism comprises a mounting plate, the mounting plates are fixedly connected with the two sides of the corresponding telescopic rod correspondingly, and hanging rods are fixedly mounted on the two sides of the center of the bottom of each mounting plate; the bottom of the hanging rod is hinged to a swing arm, an extension arm is movably installed in the swing arm, and the sides, close to each other, of the extension arm are rotationally connected with a gravity roller, the driving test of various different items can be simulated, continuous running is achieved, the integration degree is high, and the test time is highly saved.

The invention is suitable for the technical field of vehicle part testing, and provides a firmness testing system for new energy automobile part manufacturing, which comprises a protection box, a force storage part and an automobile anti-collision frame, a support frame is fixedly mounted at the top of the force storage part; a rotating part is rotationally arranged on the supporting frame; a pull rope penetrates through the peripheral side surface of the Z-shaped pipe in a sliding manner; an impact ball matched with the conical cover is fixed at one end of the pull rope; the end part of the first L-shaped plate is fixedly connected with a force unloading part; the force unloading part comprises a U-shaped plate; according to the system, an impact ball is launched by inflating and boosting the force storage part to carry out a simulation impact test on the automobile anti-collision frame, the launching angle of the impact ball is adjusted by controlling the rotation of the rotating part, and the launching position of the impact ball is adjusted by controlling the movement of the sliding sleeve. Therefore, impact scenes from different directions in the actual driving process are simulated, the diversity of firmness test data is increased, and the test accuracy is improved.

The invention belongs to the technical field of dummy detection, and particularly relates to a collision test dummy-oriented calibration full life cycle prediction system, which comprises a data source layer, a data layer, a core layer and an application layer, the data source layer covers dummy calibration full-scene data; the data layer accesses multi-source data through an acquisition and storage module and preprocesses and stores the multi-source data, and a time sequence construction module constructs a time sequence data set according to dummy IDs and component IDs; the core layer completes performance degradation modeling and residual available life prediction based on a multi-model fusion algorithm; and the application layer receives the prediction result, automatically updates a dummy state, pushes a spare part purchasing demand and visually displays the spare part purchasing demand. The problems that dummy calibration management depends on manual operation, and systematic data integration and intelligent analysis means are lacked in the prior art can be solved.

Method (3) for monitoring at least one component (4) of a motor vehicle (1), in which at least one detection value (12) of a detection quantity (14) is detected at several times (10, 11) within a time period by means of at least one sensor element (7) of the motor vehicle (1), which characterizes a mechanical load on the at least one component (4) of the motor vehicle (1), wherein it is determined by means of an electronic computing device (15) whether at least one value (16) of a comparison quantity (17) calculated from at least one of the detection values ​​(12) and / or assigned to at least one of the detection values ​​(12), which characterizes a mechanical stress (17a) of the component (4) accumulated over the time period, deviates from a reference value (19) by more than a predetermined amount (18), characterized in thatthat the respective measurement value (12) of the measurement quantity (14) detected by means of the sensor element (7) is assigned to one of a number of values ​​(16a, 16b, 16c) of the comparison quantity (17) and it is determined by means of the electronic computing device (15) whether the respective value (16a, 16b, 16c) of the comparison quantity (17) deviates from a respective reference value (19a, 19b, 19c) by more than the specified amount (18).

The invention relates to the technical field of dummy calibration, in particular to an aviation dummy lumbar vertebra calibration device and a calibration method. The device comprises a drawing type spine box tool and a chassis, the chassis is used for connecting a lumbar vertebra and spine box tool to be calibrated; the spine box tool is used for simulating the height of the upper portion of the lumbar vertebra when being pulled to different heights in the direction perpendicular to the horizontal plane. Holes in different directions are formed in the spine box tool, and the mass and the mass center position of the upper portion of the lumbar vertebra are simulated by inserting balancing weights into the holes. The device is reasonable in logic, easy to operate and high in economic applicability and meets the requirements for replacement and mass center adjustment of parts of the type at the present stage, the part above the dummy lumbar vertebra can be replaced with a simple device, multiple models and multiple types of dummies can be calibrated through one device, and the lumbar vertebra calibration process is simplified; and meanwhile, the rationality in the lumbar vertebra calibration experiment can still be ensured.

The invention relates to the technical field of vehicle assembly vibration fatigue tests, in particular to a road load spectrum-based accelerated random vibration spectrum determination method, which comprises the following steps of: selecting i-circle data of each characteristic road surface under full-load, half-load and no-load working conditions as original data of accelerated random vibration spectrum calculation; calculating an impact response spectrum and a fatigue damage spectrum of the i-circle data of each characteristic pavement; respectively accumulating the fatigue damage spectrum statistical values of the three working conditions; packaging the maximum values of the impact response spectrums under the three working conditions; according to a fatigue damage accumulation theory, calculating a fatigue damage spectrum of the total target mileage according to the number of cycles of three working conditions; packaging the maximum value of the impact response spectrum of the whole circle of characteristic pavement under the three working conditions to obtain the maximum value of the overall target mileage impact response spectrum; synthesizing an accelerated random vibration spectrum by using the fatigue damage spectrum of the total target mileage according to a damage equivalence principle; and finally, carrying out ERS calculation on the generated accelerated random vibration spectrum, and checking the correctness and rationality of the accelerated random vibration spectrum.

The invention relates to the field of abnormal sound testing, discloses a test bed and a test method for Rattle abnormal sound testing of a steering column, and aims at solving the industry blank that a steering engine assembly needs to be assembled, linear excitation is adopted, and the steering column cannot be independently and accurately tested in the existing test. And the driving seat which can slide front, back, left and right and can adjust the inclination angle is matched, so that independent installation and accurate positioning of the steering column single bodies are realized, and butt joint can be completed without depending on a steering machine. The driving part output shaft directly transmits instantaneous torque impact, the road bumping working condition is accurately simulated, traditional linear excitation is replaced, the blank of industry special tests is filled up, the test pertinence and authenticity are improved, meanwhile, steering columns of different specifications are adapted, and the universality is high.

The application relates to the technical field of dummy calibration, in particular to a device and a method for calibrating the lumbar vertebrae of an aviation dummy. The device comprises a pull-out type spine box tool and a chassis; the chassis is used for connecting the lumbar vertebrae to be calibrated and the spine box tool; when the spine box tool is pulled to different heights along a direction perpendicular to the horizontal plane, the spine box tool is used for simulating the height of the upper part of the lumbar vertebrae; different direction holes are arranged on the spine box tool, and counterweights are inserted into the holes to simulate the mass and the center of mass position of the upper part of the lumbar vertebrae. The application provides a device which is logically reasonable, simple to operate, highly economic and applicable, and meets the requirements of replacing the component, adjusting the center of mass and the like at the present stage, so that the lumbar vertebrae of the dummy can be replaced by a simple device, a device can be used for calibrating various types of dummy of various models, the lumbar vertebrae calibration process is simplified, and the rationality in the lumbar vertebrae calibration experiment can still be ensured.

A seat test system is disclosed, the seat test system comprising: at least one of an interface and a control module configured to receive an input; a dummy positioning module configured to: i) position an anthropomorphic test device (ATD) in a seat system to be tested in a virtual computer-aided engineering environment, ii) access a target parameter comprising the input, and iii) determine a parameter indicative of the positioning of the ATD in the seat system based on the target parameter; and a simulation evaluation module configured to i) operate the ATD and the seating system by simulation of a collision in a virtual computer-aided engineering environment based on the parameters, and ii) generate a rating of the seating system based on a result of the simulation.

The invention relates to a computer-implemented method and system for indirectly measuring, by means of a trained machine learning model, deformation parameters for a crash test of a vehicle to be analyzed, having the following work steps: • detecting geometry parameters of a plurality of different vehicles, the parameters being measured by means of a sensor; • calculating a location probability distribution for each component and / or assembly, in particular each crash-relevant component and / or assembly, within a vehicle configuration space of the vehicle to be analyzed, the location probability distribution being derived from the detected geometry parameters; • determining boundary conditions with respect to the vehicle structure, in particular the arrangement of the components and the rigidities thereof, of the vehicle to be analyzed; • determining the vehicle structure, which is characterized by at least one geometry parameter, of a vehicle to be analyzed on the basis of the boundary conditions and the location probability distribution; • detecting at least one material parameter of individual portions of the vehicle structure, said parameters characterizing the mass, plastic properties, and elastic properties, in particular moduli of elasticity and flow curves, of the individual portions of the vehicle structure, the at least one geometry parameter and the at least one material parameter forming vehicle data relating to the vehicle to be analyzed; • calculating output data means of the machine learning model on the basis of input data, the input data being based on the vehicle data and the output data comprising a value for at least one first deformation parameter for the intrusion into the vehicle to be analyzed; and • outputting the at least one value for the first deformation parameter. The invention further relates to a computer-implemented method and a system for training the machine learning model.

The application discloses a vehicle safety performance testing device and method, and belongs to the technical field of vehicle testing. The vehicle safety performance testing device comprises a main base plate, a test road arranged on the main base plate, a crashed dummy vehicle arranged on the test road and a protector arranged on the main base plate. The protector comprises an air bag which can be filled with gas after the crashed dummy vehicle is hit and abuts against the crashed dummy vehicle. The application can meet the actual crash test of a test vehicle.

The present application relates to the field of automobile collision safety technology, in particular to a prediction method of key parameters of side pole impact sled test using CAE inversion, comprising the following steps: establishing a side pole impact sled finite element model; establishing a restraint system collision analysis finite element model, including a finite element dummy and automobile collision key components, and connecting the automobile collision key components; based on the side pole impact sled finite element model and the restraint system analysis finite element model, establishing a passenger injury analysis model under the side pole impact condition; optimizing the passenger injury analysis model by using a DOE method to obtain an optimized passenger injury analysis model; and predicting the key parameters in the side pole impact sled test by using the optimized passenger injury analysis model. The technical scheme can predict the key parameters of the side pole impact sled, and can guide the setting of equipment input parameters, connection with automobile body components, relative position and other information in the construction process of the side pole impact sled.

The application provides a structure reinforcing member high-speed impact experiment method, which comprises three steps of determining experiment data, calculating experiment scheme and starting experiment, the application obtains boundary conditions and impact performance requirements of high-speed column impact experiment by firstly performing experiments on multiple groups of boundary test pieces with different sizes, then combines the high-speed drop hammer experiment device, and calculates the experiment scheme in advance by using a CAE calculation method, and then adjusts the impact speed, the impact mass of the drop hammer and the fulcrum position of the clamp by using the principles of equal energy absorption and equal deformation, so that the rocker panel is subjected to equal bending deformation in the impact, to perform the high-speed impact experiment of the structure reinforcing member, thereby solving the problem that the static three-point bending cannot sufficiently verify the high-speed column impact in the prior art, equivalently replacing the strength test of the rocker panel component in the high-speed column impact experiment of the whole vehicle, enabling the development and verification work of the structure reinforcing member in the rocker panel to be performed in the early stage, and saving the vehicle impact test resources.

The invention relates to the technical field of electric vehicle battery testing, in particular to a well lid bottom scraping testing system. Comprising an induction triggering mechanism used for outputting a triggering signal when it is detected that front wheels of a vehicle reach a set position; the gravity releasing mechanism is in signal connection with the induction triggering mechanism and is used for releasing a weight block which is adsorbed by magnetic force in advance and lifted to a set height after receiving the triggering signal; the well lid overturning mechanism comprises a bottom scraping well lid and a lifting rod used for driving the bottom scraping well lid to be lifted around an overturning shaft. And the connecting lever is provided with a rotating shaft, a weight falling end and a well lid lifting end, one end of the connecting lever is hinged to the weight block of the gravity releasing mechanism, and the other end of the connecting lever is coupled and linked with a lifting rod of the well lid overturning mechanism, so that the falling motion of the weight block is converted into the overturning motion of the bottom scraping well lid. According to the technical scheme, the technical problem that the manhole cover turns over to be in dynamic contact with the battery pack when a vehicle passes through the manhole cover at a high speed in the manhole cover bottom scraping test cannot be restored can be solved.

The application discloses a kind of automobile seat impact test device, belong to automobile seat testing device technical field.A kind of automobile seat impact test device, including workbench, the outer surface of workbench is fixed with motor in one end, the inner surface of workbench is provided with movable mechanism in one end, movable mechanism includes rotary disc, the output end of motor passes through workbench and is fixed with the surface at the middle position of movable mechanism, the top of the inner surface of workbench is provided with three shaft grooves, and the inside of shaft groove is fixed with embedded shaft.The application is convenient for user to adjust the position of automobile seat in the interval when impact head and automobile seat are separated, thereby improving the use convenience of the device, so that the time spent in test process can be shortened without stopping motor and canceling the fixation of automobile seat.

This invention provides a method for scaling the chest impact response channel of a car crash dummy. [Solution] The method according to the present invention includes the steps of: obtaining the chest mass and scaling coefficients in each direction of a car crash dummy; constructing a crash system and determining operating condition parameters; determining the relationship between mechanical parameters and the operating condition parameters based on the crash system, wherein the mechanical parameters include inertial force and chest compression; determining the scaling coefficient of the mechanical parameters based on the scaling coefficient and the relationship; and determining the chest impact response channel of the target dummy based on the scaling coefficient of the mechanical parameters, basic physical characteristic parameter values ​​of a reference dummy, basic physical characteristic parameter values ​​of a target dummy, and the chest impact response channel of the reference dummy.

A method for measuring motion postures of lower limbs of an automobile collision dummy continuously collects lower limb images of the automobile collision dummy during a collision in a real automobile collision test; identifies an edge contour in each lower limb image; samples a plurality of points from the edge contours for fitting to obtain a lateral thigh expression, a lower medial thigh expression, a lateral lower leg expression, and a lower medial leg expression respectively; determines various bone positions, various joint positions, and various bone angles of each lower limb; and associates the various bone positions, the various joint positions, and an included angle between two ends of each joint in the plurality of lower limb images in a chronological order to form a series of two-dimensional human rod-shaped model diagrams.

The invention provides a collision analysis method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a request deceleration of an automatic emergency braking function of a test vehicle, and first deceleration data and second deceleration data in the triggering process of the automatic emergency braking function of the test vehicle, the test vehicle intrudes a target distance of the target vehicle colliding with the test vehicle; the first deceleration data is the deceleration in the process that the anti-lock braking system function of the test vehicle is not triggered; the second deceleration data is the deceleration in the function triggering process of the anti-lock braking system of the test vehicle; according to the requested deceleration, the first deceleration data and the second deceleration data, the braking distance of the tested vehicle prolonged due to the function of the anti-lock braking system is calculated; and performing numerical comparison on the braking distance and the target distance to obtain a collision analysis result. According to the invention, vehicle collision can be accurately analyzed, and reliable data support is provided for optimization of a subsequent safety system.

In a device and method for detecting the position of an object during a vehicle crash test, a radar wave is emitted by means of a transmitting unit and the radar wave is received by means of a receiving unit, wherein the transmitting unit and / or the receiving unit is arranged on or in the object.

The present application relates to the technical field of biomechanical detection and automobile safety evaluation, and discloses a device and method for testing the abdomen safety of a car crash dummy. The testing device comprises a human feature modeling module, a parameterized model of the abdomen of a target population is established based on statistical analysis, a key size design domain covering the target population percentile is determined, and an anthropometry database of the target population is constructed; an abdomen mechanical property simulation module, a human tissue relative density distribution function is obtained based on a super-elastic constitutive model, the density distribution function is taken as an input parameter for manufacturing a gradient honeycomb structure, and the abdomen mechanical properties of the human body are simulated through the relative density gradient distribution in the thickness direction; and a multi-modal sensor integration module, a distributed intelligent sensing network architecture is adopted, and the multi-modal sensor integration module is composed of a perception layer, a transmission layer and a processing layer. Through integration of pressure, deformation, acceleration and tissue stress sensors, and in combination with a real-time feedback algorithm, collision parameters are dynamically optimized, and the testing precision and biological fidelity are improved.

The application relates to the technical field of automobile testing, and discloses a new energy automobile limit working condition collision safety test method, which comprises the following steps: performing a bottom scraping test, controlling a vehicle to pass through a water area at a preset speed and collide with an obstacle, monitoring battery state parameters, and determining battery safety performance; performing front and rear pinch collision test, making the vehicle suffer continuous impact from front and rear vehicles, detecting passenger cabin state parameters, and determining structure safety; performing side column collision test, making the vehicle collide with a rigid cylinder at a preset speed and angle, monitoring key area state parameters, and determining vehicle safety; performing roof pressure test, applying a load on the roof, measuring deformation and head force, and determining the structure safety of the driver's cabin; and based on the comprehensive evaluation results of the four tests, dividing into four grades of excellent, good, qualified and unqualified. The application realizes the collaborative verification of vehicle structure safety and battery system electrical safety.

The present invention relates to a method and device for generating augmented reality graphic content representing a vehicle crash test. To this end, initial data representing a three-dimensional video sequence of a vehicle crash test involving a crash dummy are received (31). A digital twin is selected (32) from a plurality of digital twins, each digital twin of the plurality of digital twins being representative of a three-dimensional model of a dummy representing a person with a specific morphology.The augmented reality graphic content is generated (34) from the first and second data received (33) and corresponds to a three-dimensional model of the mannequin associated with the selected digital twin by replacing the mannequin in the three-dimensional video sequence with the three-dimensional model of the mannequin associated with the selected digital twin. Figure for the abstract: Figure 3.