152 results about "Random vibration" patented technology

The invention provides a bridge pier nonlinear earthquake random response analysis method based on a BWBN model, and belongs to the field of civil engineering structure random vibration analys.The method comprises the steps that discretization processing is conducted on a concrete bridge pier structure, and a finite element nonlinear analysis numerical model is constructed; constructing a BWBN model by combining linear and nonlinear differential equations, setting a hysteresis parameter value of the BWBN model, simulating by adopting an Euler-Bernoulli beam unit, and establishing a degraded beam finite element model; obtaining a unit hysteresis vector, constructing a system motion balance equation, solving an equivalent linearization coefficient, constructing a covariance matrix of random response of the concrete pier structure, performing random response analysis on the concrete pier structure, and exploring typical working conditions of random excitation. According to the method, the operation time is shortened, the calculation precision is improved, and meanwhile, the response characteristics of the reinforced concrete pier structure under nonlinear earthquake random excitation can be truly represented.

The invention discloses an Internet of Vehicles channel modeling method considering antenna attitude vibration, and the method comprises the steps: building an accurate vibration model of an antenna three-dimensional attitude through precisely modeling vehicle body tiny vibration caused by bumping, steering and other factors in vehicle driving into micro-motion of an antenna attitude at three time-varying Euler angles of pitching, rolling and yawing; the time-varying attitude is introduced into a coordinate system rotation matrix, the random vibration characteristic parameterization of the antenna in a three-dimensional space is realized, and then the random vibration characteristic parameterization is coupled to the evolution of key parameters of a channel model, so that the channel rapid fluctuation and beam mismatch effect caused by the antenna attitude jitter can be more accurately reproduced; the method can effectively solve the problems that in the prior art, due to the fact that microcosmic vibration of an antenna is ignored, the fidelity of a model is low, and characterization of a key beam mismatch effect in millimeter wave communication is seriously insufficient, and can provide theoretical basis and data support for performance evaluation and beam management algorithm design of a high-dynamic and high-reliability car networking system.

Disclosed in the present invention are a method and apparatus for synthesizing spatially cross-correlated multi-point ground motions fitting a response spectrum. The method comprises: using an influence matrix method to obtain ground motion acceleration time histories fitting a target reaction spectrum with high precision, and calculating a Fourier amplitude spectrum and a phase spectrum thereof; and considering a calculation relationship between a power spectral density function and the Fourier amplitude spectrum, taking the power spectral density function of the obtained time histories as an initial value, using a random vibration theory and Cholesky decomposition to obtain spatially cross-correlated multi-point ground motion time histories, further taking into account a phase spectrum of the ground motion time histories fitting the target reaction spectrum with high precision, and performing correction and iteration to obtain spatially cross-correlated multi-point ground motions fitting a response spectrum. The present invention overcomes the shortcomings in current multi-point ground motion time history synthesis techniques, such as the difficulty in ensuring good fitting to a target response spectrum and the non-stationarity of synthesized ground motions, helping to improve the reliability of dynamic response analysis results for large-scale engineering structures under the action of multi-point ground motions.

The utility model provides a test tool for a random vibration experiment, which comprises a support and a vibration elastic sheet, the top of the support is provided with an installation position of the vibration elastic sheet, and the periphery of the installation position is provided with a longitudinal pressing device and a transverse pressing device which correspond to each other; wherein the vibration elastic sheet comprises a short part and a long part, the short part is used for being installed at the installation position, the short part is longitudinally pressed by the longitudinal pressing device in the vertical direction and clamped by the two transverse pressing devices in the horizontal direction, and the long part horizontally extends forwards and is used for installing a sensor for transmitting vibration signals. The problem that in the prior art, in the vibration testing process, a vibration elastic piece is inconvenient to fix is solved.

The invention discloses a dynamic calibration device and method for a visual vibration measurement system, the device comprises a dynamic standard vibration source, a calibration target, a laser Doppler interferometer, a data processing unit and a control unit, the dynamic standard vibration source outputs steady state, transient state and random vibration signals, the calibration target is fixed at the vibration output end of the dynamic standard vibration source, and the laser Doppler interferometer is fixed at the vibration output end of the dynamic standard vibration source. An acquisition target is provided for a calibration process; the calibrated visual vibration measurement system collects a dynamic image to obtain a vibration measurement parameter, and the laser Doppler interferometer synchronously obtains a standard vibration dynamic parameter; the data processing unit receives the dynamic vibration measurement parameters and the dynamic standard vibration parameters, and quantifies dynamic amplitude deviation, frequency tracking delay and phase difference; and the control unit generates calibration parameters of the calibrated visual vibration measurement system according to the type of the dynamic error under the condition that the dynamic error exceeds an error threshold value. According to the invention, quantitative evaluation and automatic calibration of the dynamic error can be realized, and the calibration precision and efficiency are improved.

The invention discloses a flexible support design method for a spatial large-aperture reflector and a support structure, and relates to the field of quasi-kinematics support design of large-aperture spatial reflectors. According to the method, a titanium alloy material is selected, parameters such as the size of a connecting frame and the total height of a Bipod support are determined according to the quality of a reflector, the size of a glue spot and an installation space, a cross-shaped blade flexible element is designed to serve as a flexible knot, a three-dimensional parameterized model is established and imported into finite element analysis software, and the three-dimensional parameterized model is obtained. And optimizing structural parameters by taking the RMS value of the optical surface deformation of the reflector as a judgment standard, and finally carrying out dynamic verification such as modal analysis and random vibration analysis. According to the supporting structure, rigidity and flexibility are balanced through a flexible joint, thermal stress can be released, rigidity in the optical axis direction is guaranteed, the bending moment and the influence of machining and assembling errors are reduced, the supporting structure is suitable for reliable supporting of the spatial large-aperture silicon carbide reflector, and the positioning precision and the surface shape precision of the reflector during on-orbit work are effectively guaranteed.

The invention discloses a vibration and conventional fatigue load coupled nonlinear damage accumulation prediction method. The method comprises the following steps: analyzing and determining a peak stress at a dangerous point under the loading of a conventional fatigue load according to a finite element model of an engineering component; determining a stress amplitude probability density function at the dangerous point under random vibration loading according to structural dynamics analysis; searching a pre-generated material fatigue life curve; determining equivalent stress at the dangerous point under random vibration loading according to the fatigue life curve; calculating the ratio of the peak stress loaded by the conventional fatigue load at the dangerous point to the random vibration equivalent stress, and establishing a coupling damage parameter according to the vibration and conventional fatigue load coupling series; and establishing a nonlinear damage accumulation model of vibration and conventional fatigue load coupling. According to the nonlinear damage accumulation model provided by the invention, the influence of vibration, a conventional load sequence and a coupling series is considered, the parameter determination is simple, and high-precision prediction of structural damage evolution under complex load coupling can be realized.

The invention discloses an optimization method for vibration performance of an automobile lamp. The optimization method comprises the following steps: S101, establishing a finite element model of the lamp and performing modal analysis; and S102, carrying out a modal test by using the lamp. And S103, comparing a modal analysis result in the step S101 with a modal test result in the step S102, confirming a vibration mode and calibrating the finite element model. And S104, submitting modal calculation according to a calibration result, completing boundary condition setting, and performing random vibration simulation. And S105, carrying out a random vibration test on the lamp by using the PSD power spectrum. And S106, comparing a random vibration simulation result in the step S104 with a random vibration test result in the step S105, confirming the reliability of the model and correcting the finite element model. And S107, determining a dangerous area according to a vibration test result and a vibration simulation result, and checking a risk point optimization data structure. And S108, modifying data according to an optimization result, verifying a random vibration simulation result of the new model, and performing vibration test retest after confirming feasibility.

The invention discloses a failure detection method and device for a battery pack bolt, a storage medium and a program product, and the method comprises the steps: carrying out the multi-parameter coupling analysis of the axial force and transverse shear component force of a beam unit and a bolt assembly through combining the axial force and transverse shear component force of the beam unit obtained through random vibration simulation; the residual pre-tightening force and the anti-sliding capacity of the bolt assembly are quantitatively evaluated, the failure risk of the bolt assembly is further determined according to the residual pre-tightening force and the anti-sliding capacity of the bolt assembly, the advantages of a frequency domain linear random vibration simulation method are reserved, and the purpose of effectively checking the anti-loosening performance of the bolt can be achieved. The problems that a traditional test is low in efficiency, a simulation model is excessively simplified and failure criteria are incomplete are effectively solved, and the method has the advantages that the detection accuracy is improved, the test cost is reduced, the calculation efficiency is improved, and potential failure points are comprehensively covered.

The invention discloses a vibration fatigue life prediction method and system based on a working condition adaptive spectrum. According to the method, load information of a target structure under various service conditions is obtained, and frequency domain load descriptions corresponding to different working conditions are subjected to weighted fusion according to working condition weights, so that a working condition adaptive load spectrum capable of reflecting real service characteristics is constructed; on the basis, frequency domain stress response of the structure under the random vibration condition is obtained in combination with a structural dynamics analysis model, equivalent stress description of dominant fatigue damage is further determined through a multi-axis equivalent criterion, and fatigue damage distribution is calculated through a frequency domain fatigue analysis method; and finally, predicting the vibration fatigue life of the structure in combination with a material fatigue performance curve and an environment-related performance correction relation. Compared with the prior art, the method has the advantages that the multi-working-condition load superposition effect and the service environment influence can be effectively considered, and the accuracy and engineering applicability of vibration fatigue life prediction are improved.

The invention relates to the technical field of online monitoring, in particular to a concrete formwork stress monitoring method and system based on an intelligent sensor, and the method specifically comprises the steps: collecting environment data of a concrete pouring site, building a concrete environment coupling dynamic model, and outputting a formwork side pressure correction value; collecting working condition data of the template, and importing the working condition data of the template into the random vibration response coupling model to generate a space-time stress threat cloud picture borne by the template in real time; a hydration heat temperature field in the concrete pouring process is monitored in real time, and chemical shrinkage strain generated in the concrete pouring process is obtained; and obtaining a template comprehensive failure index according to the stress threat and the chemical shrinkage strain in the space-time stress threat cloud picture, calculating a time-varying failure probability, and triggering graded early warning through the template comprehensive failure index and the time-varying failure probability. According to the invention, the problem of lagging or misjudgment of failure early warning of the template in the prior art is solved.

The invention discloses an electric scooter with a holder support and an intelligent imaging method thereof, and the method comprises the steps: synchronously collecting multi-modal motion data through a plurality of sensor groups, and generating a motion characteristic parameter set; an active control intention and a random vibration component are analyzed through a motion separation model, a pan-tilt compensation parameter and a control instruction set are generated, a visual semantic analysis module identifies a scene key target and calculates a motion vector of the scene key target, a pan-tilt view field coverage range is dynamically planned in combination with a reinforcement learning strategy, and a view field optimization parameter is output; a layered control framework is adopted to drive a holder motor to execute target attitude adjustment, and a calibrated control signal is output; based on a control signal and a scene semantic analysis result, a multi-frame fusion algorithm is used for eliminating motion blur and generating a high-resolution image, random vibration interference in dynamic shooting of the scooter is remarkably reduced, the imaging stability is improved, and meanwhile, layered anti-disturbance control and scene sensing imaging are fused, so that the stability of the scooter is improved. The mobility of the scooter is guaranteed, and meanwhile the high-quality shooting effect is achieved.

This utility model relates to the field of rail transit technology, and in particular to a spring plate for an obstacle detection device, comprising a horizontal plate, wherein one end of the horizontal plate is bent downward to form a bogie support connection part, and the other end is bent downward to form a crossbeam toothed plate connection part, and the bending areas at both ends of the horizontal plate are arc-shaped; the thickness of the crossbeam toothed plate connection part is less than the thickness of the horizontal plate, and the thickness of the arc-shaped bending area between the two gradually decreases along a first preset direction. While satisfying the original performance, this utility model adopts a gradually changing wall thickness structural design, which enhances the stability of the spring plate under high-frequency, high-amplitude random vibration environments, reduces stress concentration in the bolt hole area, and delays the generation and propagation of fatigue cracks, thereby solving the problem of early fracture of spring plates due to stress accumulation in the prior art.

The invention discloses a test system for pitching moment of a seeker of an unmanned aerial vehicle. The test system comprises a random vibration test platform, a vibration tool, a switching tool, a servo control panel, a data acquisition unit and a data processing unit. The test system constructs a complete monitoring network from vibration input and transmission to servo system dynamic response through a set of targeted acceleration sensor layout and systematic structure integration, thereby realizing accurate quantitative evaluation of the dynamic pitching moment in a vibration environment. A complete monitoring and diagnosis chain for the vibration energy transfer and suppression effect is jointly formed by the collaborative layout of a vibration input point, a transfer path key node, a core moving part supporting structure and a final controlled object. The method has the beneficial effects that how the servo control torque is amplified or suppressed in a vibration system can be accurately traced, and unprecedented and multi-level data support is provided for analyzing the fluctuation source of the pitching torque.

The invention discloses a method for predicting damage evolution and performance degradation of a bonding interface under the action of a random load, and belongs to the field of bonding interface damage prediction under the action of the random load. The method comprises the following steps: firstly, acquiring a random load signal in a cutting process of a bonding component, carrying out trend term removal processing on the random load signal, and extracting a characteristic section signal; secondly, processing the pre-simulation result of the bonding component to obtain the distribution range of the stress amplitude and frequency of the bonding interface; thirdly, carrying out a vibration load experiment on the standard butt joint bonding sample and the standard shear bonding sample to obtain S-N fatigue life curves in the normal stress direction and the shear stress direction and cohesion parameters after the bonding interface is degraded under different damage degrees; and finally, constructing a bonding component interface damage evolution and performance degradation prediction simulation model, and performing bonding interface damage prediction. The method can effectively predict the damage evolution process and the residual mechanical property of the bonding interface after the action of the high-frequency random vibration load, improves the calculation efficiency, and has guiding significance.

The application discloses a method for predicting damage evolution and performance degradation of a bonding interface under random load, and belongs to the field of bonding interface damage prediction under random load. First, random load signals in the cutting process of a bonding component are collected, and the random load signals are subjected to detrending treatment and feature segment signals are extracted. Second, the pre-simulation results of the bonding component are processed to obtain the distribution range of the stress amplitude and frequency of the bonding interface. Third, vibration load experiments are conducted on standard butt bonding samples and standard shear bonding samples to obtain S-N fatigue life curves in the normal stress direction and the shear stress direction, and the cohesive force parameters of the bonding interface after degradation under different damage degrees. Finally, a simulation model for predicting the damage evolution and performance degradation of the bonding interface of the bonding component is constructed to predict the damage of the bonding interface. The application can effectively predict the damage evolution and residual mechanical performance of the bonding interface after high-frequency random vibration load, improve the calculation efficiency, and has guiding significance.

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 provides a high-speed railway riding comfort sensitive wavelength identification method, device and equipment. The method comprises the following steps: establishing a dynamic model of a train-rail-bridge space coupling random vibration system; the dynamic response of the train-track-bridge space coupling random vibration system under track irregularity random excitation is solved, and a train body vibration response power spectrum is obtained; dividing the random track irregularity spectrum into a plurality of wavelength components according to upper and lower cut-off wavelengths of different wavelengths; on the basis of the vehicle body vibration response power spectrum, comfort indexes corresponding to all wavelength components are calculated, sensitive wavelengths of full wave bands are recognized, and the riding comfort and the sensitive wavelengths are recognized. The high-speed railway riding comfort sensitive wavelength identification method effectively overcomes the defects of low calculation efficiency and insufficient identification capability in the prior art, and provides a high-speed railway riding comfort sensitive wavelength identification solution with high efficiency, accuracy, mechanism definition and strong engineering practicability.

The present application relates to the stress simulation method and storage medium of vehicle-mounted controller, first build vehicle-mounted controller simulation model, use finite element simulation analysis to carry out modal analysis, random vibration, impact load strength analysis and check to the equipment structure, determine whether resonance occurs; Whether the load working condition meets the checking standard; Can ensure that the given structure, material and other properties meet the safety factor; If the safety factor is not met, the structure, material and other properties of the vehicle-mounted controller need to be improved and adjusted, and correct guidance is given to the design to avoid deformation, rupture and other risks caused by unreasonable design, leading to vehicle accidents, and protecting the safety of life and property.

This invention belongs to the field of structural vibration analysis technology and discloses an energy-averaged finite element method and system for structural random vibration analysis, including: S1, using fluid simulation software Fluent and StarCCM to perform fluid dynamics simulation to obtain the long-term turbulent pulsating pressure distribution of the structural wall in the time domain; S2, dividing the pulsating pressure obtained in S1 into segments with some overlap between segments, and performing Fourier transforms on each segment to obtain multiple sets of wall turbulent pulsating pressures in the frequency domain; S3, establishing a fluid-structure interaction dynamic model of the structure and fluid domain, applying the wall turbulent pulsating pressure loads obtained in S2 in the frequency domain, and performing steady-state dynamic harmonic response analysis on each segment; S4, based on the vibration response results of the multiple sets of harmonic response analyses in S3, taking the energy average of these results to obtain the result of random vibration analysis.

The invention provides an underwater vehicle equipment support random vibration fatigue simulation prediction method and system. The method comprises the steps that a finite element model is constructed based on the actual installation postures of a halogen lamp support and a halogen lamp in the transportation process; analyzing the modal distribution of the halogen lamp bracket in the installation state, identifying the weak link of the key modal, and analyzing the coupling condition of the modal frequency and the PSD excitation frequency; carrying out random vibration analysis, and determining a stress frequency response function and a stress root mean square RMS stress of the key position; and based on a random vibration analysis result, predicting the fatigue life of the halogen lamp bracket and reproducing a fracture phenomenon. And optimizing the support structure through a strategy of combining free shape optimization and multi-model optimization. According to the method, the service life of the halogen lamp bracket is predicted more accurately, the halogen lamp bracket is optimized, the modal frequency of the bracket is improved, the stress amplitude is reduced, and the fatigue life is prolonged.

The invention relates to the technical field of structural material high-performance calculation and numerical simulation, and discloses a metal rubber random vibration damage and fatigue life prediction heterogeneous parallel method which comprises the following steps: inputting finite element model data of a large-scale metal rubber component; a stiffness matrix, a mass matrix and the like are subjected to accelerated calculation by adopting a CPU multi-thread parallel technology, a frequency response function is calculated by combining a multi-process and multi-thread parallel technology, and random vibration response and component fatigue damage based on a frequency domain method are efficiently calculated by utilizing a GPU parallel computing technology. According to the method, a random vibration theory, a frequency domain fatigue analysis method and a finite element calculation method are combined, and meanwhile, multi-process, multi-thread and GPU heterogeneous parallel calculation frameworks are integrated, so that the calculation efficiency is remarkably improved, efficient analysis of random vibration response and fatigue life prediction of the vibration reduction component made of the complex structural material is realized, and the method is suitable for large-scale popularization and application. And an efficient strategy is provided for design optimization and safe service in the fields of aerospace, high-end equipment and the like.

The invention discloses a vibration fatigue finite element analysis method for a vertical low-temperature heat-insulation gas cylinder system. The method comprises the following steps: constructing a three-dimensional model of the vertical low-temperature heat-insulation gas cylinder system by utilizing modeling software; respectively importing the three-dimensional models of the vertical low-temperature heat-insulation gas cylinder system into ANSYS finite element analysis software, setting material attributes according to reality, and performing contact and grid division; setting load and constraint according to the actual vibration test working condition, and calculating the inherent frequency of the vertical low-temperature heat-insulation gas cylinder system in the ANSYS modal analysis module; converting the actually measured pavement unevenness power spectral density or the national standard pavement unevenness power spectral density into a random vibration load, and calculating a random vibration dynamic response by combining the inherent frequency obtained by modal analysis; the random vibration fatigue life of the low-temperature heat-insulation gas cylinder system is determined by combining an S-N curve of a material and a fatigue failure criterion, and theoretical guidance is provided for vibration characteristic research and safety application of the vertical low-temperature heat-insulation gas cylinder system.

The invention provides a cold atom gravimeter active vibration isolation method based on slow interference compensation, and relates to the technical field of cold atom gravimeter active vibration isolation, and the method comprises the following steps: building a cold atom gravimeter active vibration isolation model; designing a slow interference compensation law; a Lyapunov stability function is designed; according to the cold atom gravimeter active vibration isolation method based on slow interference compensation, a compensation proportional integral differential control law is designed, and the problem that a current control method cannot adapt to vibration environment change requirements due to the fact that the problem that ground vibration and random vibration caused by the natural environment are not considered is solved. Therefore, the vibration speed and the vibration displacement of the active vibration isolation system of the cold atom gravimeter are rapidly converged, and the control precision of the active vibration isolation system of the cold atom gravimeter is further improved.

The technology is generally directed to determining fatigue damages to an electronic component or a hardware system caused by the transport or movement of the electronic component or hardware system. The electronic components may be, for example, data center hardware components. The electronic components are susceptible to fatigue damage resulting from thermal, shock and vibration events. The thermal, shock, and vibration events may occur, for example, during transport or movement of the electronic components. To fully characterize fatigue, the acceleration and stress cycles may be tracked, which correlate with natural phenomena in the global supply chain and data center environment.

The invention discloses a contact parameter calculation method for improving case random vibration simulation precision based on modal testing. The contact parameter calculation method comprises the following steps: S1, providing a plate part, a frame part and an assembly thereof; s2, performing part modal simulation and part modal testing on the plate part and the frame part respectively to determine material parameters of the plate part and the frame part; and S3, performing assembly body modal simulation and part modal test on the assembly body to determine the contact type and the stiffness parameter of the assembly body, and obtaining contact stiffness parameters under different connection distances in combination with an interpolation algorithm. The method has the beneficial effects that the calculated contact parameters can improve the precision of a simulation model and the accuracy of a random vibration result, and the product reliability is guaranteed while the weight is reduced.

The utility model relates to the technical field of high-voltage distribution box installation, in particular to a high-voltage distribution box installation structure, which comprises an installation foot welded on a high-voltage distribution box, and the installation foot comprises an installation plate used for being fixed with an external vehicle body metal plate. The edges of the two adjacent ends of the mounting plate are bent in the same direction to form a connecting plate and a first welding plate, the connecting plate is connected with the first welding plate, and the end, connected with the first welding plate, of the connecting plate extends outwards to form a second welding plate. The included angle formed between the second welding plate and the first welding plate is equal to the included angle between the two adjacent welding surfaces of the high-voltage distribution box, so that the two stable welding surfaces are formed, and the welding area of the mounting foot and the high-voltage distribution box is increased; and furthermore, the risk that the high-voltage distribution box is separated from the mounting structure and fractured in a random vibration process can be effectively improved.

The application provides a kind of earphone knock detection method, the method comprises the following steps: obtaining the three-axis acceleration data of earphone of current acquisition window, and the change of acceleration is calculated based on three-axis acceleration data to determine dynamic knock threshold;If current instantaneous knock intensity is greater than dynamic knock threshold, it is determined that pre-knock event;If there is second pre-knock of instantaneous knock intensity greater than dynamic knock threshold in the first detection interval for continuous hit waiting after determining pre-knock event, it is determined that continuous hit event and records the number of hits. By calculating the change of acceleration based on the three-axis acceleration data to determine the dynamic knock threshold, the environmental adaptability is improved compared to the setting of fixed threshold, and the response intensity and time of the knock and the continuous hit time after the knock are filtered, effectively filtering short-time random vibration, such as false recognition caused by wearing adjustment or movement, improving user experience.

The invention discloses a new energy automobile battery detection device and method, relates to the technical field of detection equipment, and aims to solve the technical problem of low new energy automobile battery test precision, and the new energy automobile battery detection device comprises a detection device body, a positioning mechanism, a lifting mechanism, a U-shaped seat, a rotating mechanism and a swing mechanism. When the ring pipe and the outer rotating unit rotate simultaneously, the swing mechanism and the elastic telescopic assembly rotate integrally, all collision ball blocks form a stable impact track, uniform, continuous and equal-force impact testing is performed on the surface of the automobile battery positioned below, standard fatigue testing is performed on the automobile battery, and the test accuracy is improved. When the annular pipe and the outer rotating unit are controlled to rotate at a differential speed, the centrifugal force of the collision ball block is changed, so that the collision strength and the collision position on the surface of the automobile battery are changed, random vibration and impact generated during real driving of an automobile are simulated, and the structural fatigue resistance of the automobile battery under the action of long-term complex stress is detected.