8065 results about "Suspension (vehicle)" patented technology

Systems and methods described herein include implementation of road surface-based localization techniques for advanced vehicle features and control methods including advanced driver assistance systems (ADAS), lane drift detection, passing guidance, bandwidth conservation and caching based on road data, vehicle speed correction, suspension and vehicle system performance tracking and control, road estimation calibration, and others.

The invention relates to the technical field of vehicle control, and provides a new energy vehicle operation optimization method and system based on intelligent networking, and the method comprises the steps: collecting a first operation parameter of a vehicle at a current moment and a road parameter at a next moment through a vehicle-mounted sensor network; wherein the first operation parameter comprises a tire movement value corresponding to vehicle suspension deformation variable data based on a current pavement coefficient, and the road parameter is road feature data of a road to be driven in; according to the first operation parameters and the road feature data, a load mean value model and an acceleration safety threshold value of the current vehicle in the road to be driven in are constructed; according to the load mean value model, a damping adjusting instruction of the vehicle suspension is generated; and generating a driving torque vector distribution scheme according to the acceleration safety threshold.

Systems and methods described herein include implementation of road surface-based localization techniques for advanced vehicle features and control methods including advanced driver assistance systems (ADAS), lane drift detection, passing guidance, bandwidth conservation and caching based on road data, vehicle speed correction, suspension and vehicle system performance tracking and control, road estimation calibration, and others.

The invention discloses an intelligent suspension control system based on complex road condition recognition, relates to the technical field of automobile damping adjustment, and solves the technical problems that the system is difficult to adapt to complex and changeable road conditions, suspension parameters cannot be accurately adjusted in real time according to actual road conditions, and the performance of a vehicle under the complex road conditions is limited. After the road condition information acquisition module acquires data of various sensors, the road condition comprehensive identification and analysis module deeply analyzes the data and judges that a vehicle is in a curve or straight driving state, and when the vehicle is driven on the curve, the curve intelligent analysis module determines whether the vehicle is in a curve or straight driving state according to information such as the steering angle, the quality, the vehicle speed and the turning radius of the vehicle. The turning centrifugal force and the heeling moment are calculated by means of a vehicle dynamics model, the adaptive heeling rigidity and damping requirements are determined accordingly, current suspension parameters are compared, the hydraulic oil and damping hydraulic oil flow and pressure adjusting amount are calculated, and precise suspension regulation and control, vehicle heeling reduction and curve control stability strengthening are achieved.

The invention discloses a dual-electric brake boosting system for a heavy-duty vehicle and a coordinated control method of the dual-electric brake boosting system, and relates to the technical field of vehicle brake control. The invention discloses a dual-electric brake power-assisted system for a heavy-duty vehicle and a coordinated control method thereof. The coordinated control method comprises the following steps that S1, a multi-source sensor synchronously collects and preprocesses wheel speed, current, suspension and pedal signals; s2, estimating the load in real time through Kalman filtering, and outputting a dynamic load coefficient to guide distribution; s3, triggering interruption when the pedal force change rate exceeds the threshold value, and directly outputting the maximum braking force; s4, dynamically distributing the braking force, predicting the temperature rise, and adjusting the output weights of the double boosters; s5, outputting a digital twinborn verification theory, and starting a compensation algorithm after deviation overrun; s6, encrypting an instruction by a TSN protocol, and ensuring low-delay transmission and communication security; s7, a closed-loop optimization link is formed based on the actual braking data calibration model; the method has the beneficial effect that the real-time performance, safety and reliability of the braking system are comprehensively improved.

A modular rolling chassis assembly for an electric vehicle includes a central housing extending from a front end to a rear end to define a central cavity. An electric energy storage system (ESS) is disposed or housed in the central cavity. A front suspension module is connected to the front end of the central housing and a rear suspension module is connected to rear end of the central housing to complete a modular build for the rolling chassis assembly which improves on the large, heavy and cost intensive integral chassis associated with the prior skateboard architectures.

The invention relates to the technical field of testing of structural components or equipment, in particular to a method and a device for testing mechanical durability of a wheel hub motor angle module and electronic equipment, and the method comprises the following steps: calculating the mechanical durability of the wheel hub motor angle module on the basis of actual driving data and whole vehicle parameters of a vehicle carrying the wheel hub motor angle module; a whole vehicle multi-body dynamics model and a whole vehicle multi-body dynamics-control joint simulation platform of a vehicle are constructed, a whole vehicle durability simulation working condition of the vehicle is established in combination with test field condition constraints, a test driving file is iterated based on a simulation analysis result, a tool clamp is designed by utilizing the rim size of a hub motor angle module and the position of a suspension mounting point, and a test result is obtained. Therefore, a target test bench is constructed, and the target test bench is used for executing the durability test task of the wheel hub motor angle module. Therefore, the technical problem that in the related technology, a vehicle carrying a wheel hub motor angle module can collect less data and does not have the real vehicle spectrum collection condition under the long-term and severe road condition, so that the durability test is difficult to carry out is solved.

Tracked vehicles include a track assembly, a powertrain assembly to power the track assembly, and a steering assembly configured to provide a torque to the track assembly. A steering motor is operably coupled to the powertrain assembly to effectuate a steering of the vehicle. A backup steering assembly is configured to provide backup steering capability to the tracked vehicle. The tracked vehicle also includes a plurality of steering modes, as well as a plurality of suspension components configured to increase rider comfort.

Disclosed in the present application are a corner module and a vehicle, the corner module comprising a suspension system and a steering system, wherein the steering system comprises a steering power assembly, a steering execution assembly and a steering transmission assembly; the steering execution assembly comprises a first steering knuckle and a second steering knuckle, wherein the first steering knuckle is arranged on a traveling system, and the first steering knuckle is connected to the steering transmission assembly; the second steering knuckle is connected to the suspension system; and the first steering knuckle is movably connected to the second steering knuckle, such that the first steering knuckle turns around a movable connection point of the first steering knuckle and the second steering knuckle. In the corner module, decoupling of a steering axis from the suspension system is achieved, the position of the movable connection point is conveniently configured to form a more rational steering axis, the degree of design freedom is increased, the steering performance is better considered, excessive constraint on the degree of freedom of the traveling system is avoided to a certain extent, and motion interference between the steering system and the suspension system is reduced, thereby improving the flexibility, safety and stability of the steering system of the corner module.

A suspension includes a knuckle to which a wheel of a vehicle is fastened, a steering drive portion connected to the knuckle, a lower arm positioned at a lower end portion of the steering drive portion and including a first end portion connected to the knuckle and a second end portion connected to a vehicle body frame, a connecting link including a first end portion connected to an upper end portion of the steering drive portion, an upper arm connected to a second end portion of the connecting link, a damper connecting the upper arm and the vehicle body frame, and a push rod including a first end portion connected to the upper arm and a second end portion connected to the lower arm.

The invention relates to a vehicle suspension control method and device, computer equipment and a readable storage medium. The method comprises the following steps: combining obtained vehicle body dynamics time series data, vehicle control time series data and environment perception time series data in a vehicle driving process into time series data of multiple channels, determining a self-adaptive modal number of the time series data under each channel according to the time series data under each channel, and determining the self-adaptive modal number of the time series data under each channel according to the self-adaptive modal number of the time series data under each channel; and performing modal decomposition on the time sequence data based on the adaptive modal number, extracting frequency domain characteristics of the time sequence data, integrating the frequency domain characteristics of the time sequence data of the multiple channels, inputting the frequency domain characteristics into a trained suspension control parameter prediction model to obtain target time sequence characteristics for predicting suspension control parameters, and performing prediction on the suspension control parameters based on the target time sequence characteristics. Vehicle suspension control parameters are obtained through prediction, and a suspension system of the vehicle is controlled based on the vehicle suspension control parameters. By adopting the method, the risk of rollover of the vehicle can be obviously reduced.

The invention discloses a magneto-rheological suspension semi-active feedback control system based on laser radar and multi-sensor fusion. The magneto-rheological suspension semi-active feedback control system comprises a radar assembly, a sensor assembly and a feedback control assembly which are integrally installed on a vehicle body. Related road surface and vehicle driving data are obtained through the laser radar, the vehicle attitude sensor and the vehicle speed sensor, the collected data are analyzed and processed through the data processing unit, and real-time road condition scores and vehicle driving parameters are obtained; generating a suspension control signal according to the real-time road condition score and the vehicle driving parameters, and transmitting the suspension control signal to a suspension controller; the suspension controller transmits current to the magnetorheological dampers, and therefore the magnetorheological dampers are controlled to output damping force to the corresponding wheels. The response speed of the magneto-rheological suspension can be remarkably increased, the adaptability of the magneto-rheological suspension to complex road conditions is enhanced, and therefore the driving stability, controllability and riding comfort of a vehicle are remarkably improved.

The present disclosure relates to a frame structure for a vehicle comprising a front wheel suspension arrangement for suspending a pair of front wheels of the vehicle and a rear wheel suspension arrangement for suspending a pair of rear wheels of the vehicle, wherein the frame structure comprises a load bearing frame arrangement arranged to be positioned at a transversal center portion of the vehicle, the load bearing frame arrangement comprising a first member and a second member, each of the first and second members forming a diagonal extension as seen in a transversal cross section of the load bearing frame arrangement, wherein the diagonal first and second members extend longitudinally between the front wheel suspension arrangement and the rear wheel suspension arrangement, wherein the diagonal extension of the first member interconnects with the diagonal extension of the second member forming a connection point between the first and second members.

The invention relates to an automatic driving vehicle steering and suspension cooperative control method based on reinforcement learning, and the method specifically comprises the following steps: 1, building a dynamic model of a vehicle steering system and a suspension system, and obtaining transverse and vertical vehicle motion states through controlling a steering angle and a suspension acting force; 2, constructing a control action and reward function of a vehicle steering system and a suspension system, and forming a reinforcement learning exploration strategy of vehicle steering and suspension cooperative control; 3, constructing intelligent agents of a steering system and a suspension system; and 4, constructing a reinforcement learning environment, and realizing cooperative control of the steering system and the suspension system through a multi-agent reinforcement learning method. According to the method, different vertical and transverse plane environments and different learning tasks are comprehensively considered, the data input dimension is reduced, the optimal motion control strategies under different working conditions are considered, and on the premise that accurate path tracking is guaranteed, the transverse roll stability and the vertical smoothness and comfort are improved through cooperative steering system and suspension system control.

A suspension assembly and method of use is provided. The suspension is for an axle on a trailer or other vehicle. The suspension assembly has a cross support member connected with or integrally formed with a hanger bracket at the first end of the cross support member. A trailing beam is connected to the hanger bracket. The trailing beam and a mount are coupled with a load air bag and a lift air bag, with the bags located on each respective side of a pivot axis for the trailing beam. This establishes a teeter-totter configuration of the suspension assembly allowing independent wheel travel side-to-side of the suspension assembly.

The battery pack support for the new energy vehicle comprises a first battery installation unit, and the first battery installation unit comprises a first suspension support and a second suspension support which are arranged in a spaced mode and horizontally installed on the outer side of a vehicle frame longitudinal beam; the battery frame is used for accommodating and fixing the first battery pack positioned on the upper layer and the second battery pack positioned on the lower layer; the first side bracket and the second side bracket are arranged at the first end of the battery frame; and the third side bracket and the fourth side bracket are arranged at the second end of the battery frame. The battery frame and the side supports can be preassembled in a factory, only the rubber bushings need to be connected to the suspension supports on site, installation is easy, efficiency is high, the rubber bushings can buffer and / or absorb impact force caused by bumping of a vehicle to the battery pack, and safety is improved.

The invention discloses a high-temperature superconducting electric maglev vehicle multi-mode damping device based on an electromagnetic shunting technology. The high-temperature superconducting electric maglev vehicle multi-mode damping device comprises a coil system and a vehicle suspension frame. Wherein the coil system comprises a vehicle-mounted superconducting magnet, an 8-shaped suspension guide coil and a propulsion coil; the vehicle suspension frame carries a vehicle-mounted superconducting magnet, a low-temperature container, a damping coil and an external circuit module. Accurate design of electromagnetic parameters is achieved through a plurality of branch parallel circuits, dynamic responses of different frequencies can be effectively matched, and multi-mode vibration reduction is achieved in a passive mode. An optimized damping effect can be provided for various vibration modes in a rail system without depending on an active control system, and the vibration reduction performance of the system is remarkably improved. Aiming at different vibration frequencies, adjustment can be carried out by replacing components such as capacitors and inductors in the branches, the structure is simple, and the cost is low.

The invention discloses an anti-carsickness semi-active seat band-stop filtering control method, which comprises the following steps of: firstly, establishing a two-degree-of-freedom model of a vehicle seat suspension system, and designing a seat suspension active control system to meet the following constraint conditions: the dynamic stroke of a seat suspension does not exceed the maximum allowable stroke; and the control force is smaller than the maximum output control force of the actuator. In order to effectively reduce the carsickness symptom caused by seat vibration, the invention also establishes a target function for inhibiting the vibration of the seat in a human body sensitive frequency range, designs a frequency weighted sliding mode control algorithm, accurately adjusts the damping coefficient of the magnetorheological damper through a control law, inhibits the low-frequency vibration in the frequency range of 0.1-0.5 Hz, and improves the safety of the seat. The riding comfort is improved, and the motion sickness is reduced.

The invention provides an intelligent suspension control system based on complex road condition recognition, and relates to the technical field of suspension control. The system comprises a data acquisition module, a theoretical adjustment calculation module, an adjustment map generation module, a dynamic adjustment generation module and a real-time monitoring module. The data acquisition module generates structured road condition suspension matching data. The theoretical adjustment calculation module calculates a theoretical suspension adjustment reference value. The adjustment map generation module generates an initial suspension adjustment map. The dynamic adjustment generation module obtains a dynamic suspension adjustment map of the driving task. And the real-time monitoring module monitors the intelligent suspension control in real time. Various complex road conditions are recognized and classified through semantic analysis, an accurate road condition basis is provided, a theoretical adjustment reference value is calculated, meanwhile, a self-adaptive correction factor matrix is introduced, the adjustment reference and the fault-tolerant bandwidth are dynamically adjusted according to the real-time posture of the vehicle, vehicle body vibration and suspension air pressure, stable control is guaranteed, and the control accuracy is improved. And dynamic balance between comfort and controllability is realized.

Disclosed is a corner module apparatus for a vehicle. The corner module includes a driving unit that provides drive power to a wheel of the vehicle, a braking unit that interferes with rotation of the wheel to generate braking power, and a suspension unit connected to the driving unit. The suspension unit absorbs shock transferred from a road surface. The corner module also includes a steering unit connected to the suspension unit and rotated about a steering axis inclined with respect to the wheel. The steering unit adjusts a steering angle of the wheel.

The invention discloses a pressure feedback type damping self-adjusting energy feedback oil gas suspension and a working method, and belongs to the field of vehicle oil gas suspensions. The pressure feedback type damping self-adjusting energy feedback oil gas suspension comprises a first-stage small-range damping multi-stage adjuster, a second-stage large-range damping multi-stage adjuster and a one-way energy feedback and energy recovery system, an oil outlet of the first-stage small-range damping multi-stage regulator is connected with an oil inlet of the one-way energy feedback and energy recovery system through an oil inlet pipe, an oil outlet of the one-way energy feedback and energy recovery system is connected with an oil inlet of the first-stage small-range damping multi-stage regulator through an oil return pipe, and a throttling valve is arranged on the oil inlet pipe. And pipelines at the two ends of the two-stage large-range damping multi-stage regulator are arranged on the two sides of the throttle valve on the oil inlet pipe in parallel. The working number of damping holes of the suspension system can be changed, self-adaptive adjustment of damping of the suspension system under the condition that the stroke is changed is achieved, power equipment is not needed, and automatic damping adjustment can be achieved through a mechanical structure. And damping vibration attenuation energy consumption recovery is realized.

A vehicle corner module (VCM) is provided for regulating motion of a host vehicle which comprises a vehicle-onboard vehicle-controller. The VCM comprises a sub-frame mountable to a reference frame of the host vehicle; a wheel-hub assembly comprising a wheel-hub; VCM-sub-systems mediating between the sub-frame and the wheel-hub assembly, e.g., a drive subsystem, a steering subsystem, a suspension subsystem and / or a braking subsystem; and an VCM-onboard VCM-controller, comprising one or more processors and a computer-readable medium storing program instructions that, when executed by the one or more processors, cause the one or more processors to establish a communication link with a vehicle-controller, including electronically transferring information about the VCM from the VCM-controller to the vehicle-controller, and to perform, in response to an installation of the VCM on a vehicle, a post-installation validation-process that includes validating the VCM-subsystems and communicating a result of the validating to the vehicle-controller.

The invention belongs to the technical field of vehicle dynamics, and relates to an automatic driving vehicle dynamics parameter adaptive identification method based on SQP and GRNN, and the method comprises four parts: automatic driving vehicle mechanism model establishment, GRNN model establishment, training set acquisition based on the SQP algorithm, and parameter adaptive identification based on the trained GRNN model. Kinetic model key parameters which are difficult to obtain by a conventional method are solved in an off-line mode by using an automatic driving automobile mechanism model and an SQP algorithm, and a solving result is used as a training set of a GRNN (Generalized Recurrent Neural Network) model; and the trained GRNN model has the capability of processing the nonlinear relationship among the steering wheel angle, the vehicle speed, the tire cornering stiffness, the suspension roll stiffness and the roll damping in the automatic driving vehicle mechanism model. Finally, accurate kinetic parameters are identified in real time according to the operation condition of the vehicle, and a foundation is laid for effective control of the automatic driving vehicle.

The invention relates to rotary drilling rig building pile foundation hole forming equipment and a construction method thereof, and relates to the technical field of rotary drilling rig equipment.The rotary drilling rig building pile foundation hole forming equipment comprises a vehicle body, a driving assembly is slidably connected to a suspension arm of the vehicle body in a limiting mode, a second winding assembly is arranged below the driving assembly, and an extension rod is arranged at the bottom end of the driving assembly; a transmission rod is arranged at the bottom end of the extension rod, a drill bit is fixedly connected to the bottom end of the transmission rod, the transmission rod is sleeved with an upper drilling cylinder, the upper drilling cylinder is provided with a limiting assembly, a lower drilling cylinder is sleeved with the lower portion of the interior of the upper drilling cylinder, and two racks are symmetrically and fixedly welded to the top end of the lower drilling cylinder. Two servo motors are fixedly arranged at the top end of the upper drilling barrel through bolts, the output ends of the two servo motors are each connected with a gear, and the arrangement of the structure can enlarge the soil storage space between the upper drilling barrel and the lower drilling barrel, so that the frequency of removing the upper drilling barrel and the lower drilling barrel out of a drilled hole for soil discharging is reduced; the construction efficiency of the whole device is improved.

The dryer comprises a dryer shell, an inner cavity of the dryer shell is divided into a drying agent cavity and a heating module wiring cavity which are independent of each other through an end face structure, a heating module barrel sleeve is arranged on the end face structure in a penetrating mode, and the two ends of the heating module barrel sleeve stretch into the two independent cavities respectively. Two air tap connectors communicated with the drying agent cavity are arranged on the outer wall of the dryer shell at intervals, a drying agent drying assembly is arranged between the outer wall, located between the two air tap connectors, of the heating module barrel sleeve and the inner wall of the dryer shell, and a heating body assembly is arranged in the heating module barrel sleeve. A connector assembly is arranged on the outer wall of the dryer shell and used for being connected with an external power source, and the heating body assembly is electrically connected with the connector assembly. According to the invention, related connector design is simplified, product cost is reduced, airtightness failure caused by structural deformation after long-term work of the plastic assembly is avoided, high-efficiency and low-loss heating control can be realized, and system arrangement is more flexible.

The invention relates to a base, a shock absorber assembly, a suspension system and a vehicle. The base is used for being matched with a piston and comprises a piston connector and a first communicating pipeline. The piston interface includes a first inlet and outlet and a second inlet and outlet. The first inlet and outlet is used for communicating with the first cavity of the piston. The two ends of the first communicating pipeline are connected with the first in-out opening and the second in-out opening correspondingly. The first communicating pipeline is provided with a first control connector and a damping connector. And the first control interface is used for being connected with a first electromagnetic valve for controlling on-off of the first communicating pipeline. The damping interface is used for being connected with a damping valve for controlling fluid flow damping of the first communicating pipeline. The piston connector and the first control connector are located on different surfaces. The piston interface and the damping interface are located on different surfaces. The base is integrated with the piston connector, the first control connector and the damping connector, so that the shock absorber assembly can be connected with the first electromagnetic valve and the damping valve, and the function integration level of the shock absorber assembly can be improved.

A method and system are provided for identifying time-varying suspension characteristics of heavy-load vehicles. The method includes collecting sequential control state data of a mining truck using sensors, predicting parameter-related factors through a deep learning network, estimating suspension stiffness and damping coefficients via a linear dynamic model considering longitudinal-vertical coupling, and predicting future system states through a nonlinear dynamic model based on the estimated parameters and learned factors. According to the method, a deep learning network is integrated into a physical model of the mining truck, an accurate longitudinal-vertical dynamical model of the mining truck is established, accurate suspension parameters are identified, the stiffness damping time-varying characteristics of the suspension of the mining truck are given through a physical model-data driving method, and the model has certain interpretability and generalization; the rigidity and damping of the four suspensions can be obtained only through sprung information.

The present invention provides a detachable and reconfigurable large-folding manned lunar rover, comprising a front suspension mounting plate, a front bottom plate, a rear suspension mounting plate, a rear bottom plate, a suspension system, a seat, a power supply, a control system, a storage bag, a remote control, an antenna, a connection fixing mechanism, a folding fixing mechanism, wheels, a dual-axle suspension, and a clamping seat. Compared with the traditional lunar rover, the vehicle has a folding and unfolding function to achieve a small envelope launch; at the same time, the whole vehicle has a separation and reconstruction function, and the whole vehicle can be separated and reconstructed into two three-wheeled manned vehicles to ensure the normal progress of the mission when the whole vehicle has a partial failure.

The invention relates to an amphibious unmanned vehicle amphibious actuator cooperative control method, belongs to the technical field of amphibious unmanned vehicles, and solves the problem of poor adaptability of amphibious unmanned vehicles in different scenes in the prior art. The method comprises the following steps: acquiring suspension state data and attitude angle data of the amphibious unmanned vehicle at each moment; at the current moment, predicting the overwater model mismatch probability based on the trained recurrent neural network according to the suspension state data and the attitude angle data at the current moment and the historical moment; determining whether the current scene key point is a scene key point based on the predicted overwater model mismatch probability; the scene key points comprise a landing point, a water leaving point, a water entering point and a full floating point; and calculating an actuating mechanism action instruction of the amphibious unmanned vehicle according to whether the current key point is the scene key point or not and the predicted overwater model mismatch probability. And stable control of the amphibious unmanned vehicle under the land and water working conditions is realized.

A self contained battery and slide frame houses a pair of trailer axles and an electrical vehicle storage battery secured by parallel slide frame rails adapted for attachment to an underside of a standard tractor trailer (Class 8) trailer frame. The slide frame attaches to an underside of a trailer using perforated frame beams used to vary a position of the wheel / axle assemblies relative to the trailer body and payload. The slide frame rails provide self contained support for a storage battery, e-axle, control electronics and connecting wires for charging and running a vehicle load from the storage battery. Vehicle loads powered by the storage battery include transport refrigeration units (TRUs) and electrical vehicle (EV) tractors.