15179results about "Resilient suspensions" patented technology

A prism for reflecting a laser includes: a single mounting cap at a first end of the prism, and first to seventh trihedral corner (TC) reflectors, each including a reflective surface including: three side edges, and three corners at respective intercept points between the side edges, wherein the seventh TC reflector, among the first to seventh TC reflectors, is on a second end of the prism opposite to the first end of the prism.

A prism for reflecting a laser includes: a single mounting cap at a first end of the prism, and first to seventh trihedral corner (TC) reflectors, each including a reflective surface including: three side edges, and three corners at respective intercept points between the side edges, wherein the seventh TC reflector, among the first to seventh TC reflectors, is on a second end of the prism opposite to the first end of the prism.

A method of on-demand energy delivery to an active suspension system comprising an actuator body, hydraulic pump, electric motor, plurality of sensors, energy storage facility, and controller is provided. The method comprises disposing an active suspension system in a vehicle between a wheel mount and a vehicle body, detecting a wheel event requiring control of the active suspension; and sourcing energy from the energy storage facility and delivering it to the electric motor in response to the wheel event.

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.

A stabilizer bar assembly may include left and right bars, an outer cylinder member connected to one of the left bar and the right bar, an inner cylinder member provided inside the outer cylinder member to enable relative rotation with the outer cylinder member, and connected to the other one of the left bar and the right bar, and a torsion spring providing rotational stiffness to the inner cylinder member and the outer cylinder, which rotate relatively.

A pump system includes a housing defining a first internal volume and a second internal volume, a first piston positioned to separate the first internal volume into a first chamber and a second chamber, a second piston positioned to separate the second internal volume into a third chamber and a fourth chamber, a first inlet check valve configured to permit fluid flow into the first chamber, a second inlet check valve configured to permit fluid flow into the third chamber, a directional control valve (DCV) repositionable between (a) a first position where the DCV is configured to fluidly couple the second chamber to a high pressure fluid source and (b) a second position where the DCV is configured to fluidly couple the fourth chamber to the high pressure fluid source, and a relief valve configured to supply a fluid to the DCV through an orifice to move the DCV.

The invention discloses a nitrogen shock absorber and a shock absorption method thereof, and relates to the technical field of shock absorbers, the nitrogen shock absorber comprises an oil storage barrel, a piston rod, a lower connecting seat, an upper connecting seat, a central fixing pipe, a piston valve system assembly and a compression hydraulic buffer assembly; the piston rod is slidably connected with the oil reservoir; the lower connecting seat is fixed at one end of the piston rod; the upper connecting seat is mounted at one end of the oil storage cylinder, and a compression hydraulic buffer regulating valve system assembly, a compression high-low speed regulating valve system assembly and a nitrogen cylinder are mounted on the upper connecting seat; the center fixing pipe is fixed to the end, located in the oil storage barrel, of the piston rod. The piston valve system assembly is fixed to the outer wall of the center fixing pipe and divides the interior of the oil storage barrel into a recovery cavity and a compression cavity. The compression hydraulic buffering assembly comprises a hydraulic buffering rod, and the hydraulic buffering rod is communicated with the compression hydraulic buffering adjusting valve system assembly. The performance of the compression hydraulic buffering system is improved, the hydraulic buffering stroke is increased, and the purpose of progressive damping hydraulic buffering is achieved.

The invention relates to the technical field of vehicle dynamics control, and discloses a vehicle control method and system for a double-closed-loop adjustable magneto-rheological semi-active suspension, and the method comprises the steps: S1, obtaining the state information of a vehicle based on a sensor, building a vibration control model, and calculating and outputting the expected damping force of vibration control; s2, establishing a vehicle body attitude control model, and calculating and outputting vehicle body attitude control expected damping force; s3, calculating the expected damping force obtained in the step S1 and the expected damping force obtained in the step S2 to obtain the total expected damping force; and S4, according to the total expected damping force, the relative speed of the wheels and the vehicle body and the dynamic deflection information of the suspension, a suspension inverse model is established, and expected current is output. According to the method, the control system is optimized by combining the design parameters of the shock absorber and the test parameters of the real vehicle, the current loop adjustment is designed on the basis of the damping loop control, and the tracking compensation control of the current is mainly realized, so that the response speed and the accuracy of the control are improved, and the performance of the magneto-rheological semi-active suspension is further improved.

The invention relates to a method (2000, 2000') for operating a pneumatic system (1200), comprising the steps: - Providing (2100) compressed air (120), - Routing (2200) the compressed air (120) via at least one first pneumatic line (10) to a compressed air supply connection (2), - Routing (2300) the compressed air (120) from the compressed air supply connection (2) via at least one second pneumatic line (316) of a connected pneumatic system (300), - Energizing (2420) at least one pneumatic solenoid valve (20) selectively with a heating control current (S I2 ) to heat at least one of the pneumatic solenoid valves (20), and - Energize (2430) at least one of the pneumatic solenoid valves (20) with a deflection control current (S I1 ), which is greater than the heating control current (S I2) is to be deflected from a basic position (G). The invention further relates to a corresponding pneumatic system (1200), a compressed air supply system (100) and a pneumatic system (300) for a pneumatic system (1200) and a vehicle with a pneumatic system (1200).

Disclosed herein is a sway bar system comprising a damping link that couples a first end of a sway bar to a first location on a vehicle. The damping link is comprised of a body comprising a damping chamber and a reservoir. There is also a through shaft coupled to a piston, where the piston divides the chamber into a first chamber and a second chamber. A high-pressure line is fluidly coupled with the chamber and the reservoir and allows fluid to flow from the first chamber and the second chamber to the reservoir. A low-pressure line is fluidly coupled with the chamber and the reservoir and allows fluid to flow from the reservoir to the first chamber and the second chamber. The high-pressure line and the low-pressure line assist in self-centering the sway bar.

The embodiment of the invention provides an air supply system and an air supply method of an air suspension. The air supply system of the air suspension comprises an air storage tank, a plurality of air springs, an air supply valve body unit, a dryer, a heating element, an electronic control unit and a humidity sensor. The air storage tank is used for storing compressed air; the air spring is used for inputting high-pressure gas to each wheel of the vehicle; the air supply valve body unit comprises a reversing valve; the reversing valve is arranged on an air channel, so that the air supply system is driven to be switched between the air suction mode and the reverse blowing mode through reversing of the reversing valve; the cavity of the dryer is communicated with the air supply valve body unit through an air channel; the heating element is arranged in a cavity of the dryer, the humidity sensor is arranged on the air channel, and the humidity sensor corresponds to the electronic control unit in a signal mode. Therefore, the air supply system of the air suspension has the advantage that the regeneration efficiency of the dryer is improved.

The invention discloses a control method and system of a vehicle, the vehicle and a computer program product. The method comprises the following steps: acquiring road information of a to-be-controlled vehicle in a current driving direction; in response to the fact that the road information shows that an abnormal road surface object exists in the current driving direction, position information of the abnormal road surface object and a driving track of the to-be-controlled vehicle in a future time period are obtained, and under the condition that wheels of the to-be-controlled vehicle pass through the abnormal road surface object, impact force borne by the wheels of the to-be-controlled vehicle is larger than an impact force threshold value; determining a current distance between the wheel and the abnormal road surface object in response to the position information included in the driving track; based on the current distance, damping force corresponding to the wheels is adjusted before the wheels run to the abnormal road surface object; and the adjusted wheels are controlled to run through the abnormal road surface object, so that the impact force borne by the adjusted wheels is smaller than or equal to the impact force threshold value. The technical problem that the control effect of the vehicle is poor is solved.

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 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.

The invention relates to a suspension system control method and system of a vehicle and a storage medium, and the method comprises the steps: carrying out the information fusion of a current road image, road point cloud information and the state information of the vehicle, and obtaining a target road unevenness grade which can reflect the condition of a target road after the historical road unevenness grade is considered; meanwhile, the feedforward damping force of the suspension system when the vehicle is about to run on the target road surface is predicted according to the unevenness level of the target road surface, and in the process that the vehicle runs on the target road surface based on the feedforward damping force, feedback damping force used for compensating the feedforward damping force can be calculated in real time according to vehicle body parameters of the vehicle; therefore, the vehicle can stably run on the target road surface, and the driving comfort performance of the vehicle under the condition of the unsmooth road surface based on the control strategy is further improved.

A system for providing an interactive inspection map of an inspection surface inspected by an inspection robot includes an inspection circuit structured to interpret inspection data of the inspection surface from the inspection robot and a user interaction circuit structured to interpret a user focus value from a user device. The user focus value includes an activation state value. The system further includes an inspection visualization circuit structured to provide the interactive inspection map to the user device in response to the user focus value. The interactive inspection map is based on the inspection data. Also, the system includes an inspection data validation circuit that determines an inspection data validity description of the inspection data. The inspection data validity description is provided as a display layer on the interactive inspection map to indicate whether the inspection data is valid.

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.

A hydraulic damper comprises a main tube, a piston assembly, a base valve assembly, and a compression stop assembly. The compression stop assembly includes an insert defining an inner chamber, and a sleeve displaceable along with the main piston assembly and configured to be slidably introduced inside the inner chamber. The sleeve has a diameter lower than the diameter of the main tube defining a first external flow channel between the sleeve and the main tube; the sleeve is attached to the piston assembly by a spring disposed within the sleeve; and the insert is provided with a plurality of axially-spaced holes and has an annular flange adjoining the inner wall of the main tube and separating the compression chamber from a second external flow channel between the radially external outlets of the holes and the base valve assembly.

The invention relates to a control method, a stabilizer bar system and a vehicle, and the control method comprises the steps that when the action state between a first stabilizer bar and a second stabilizer bar is a semi-coupling state, target parameters of a hydraulic system are determined according to the vehicle running state; and according to the target parameter and the actual parameter of the hydraulic system, a PID control algorithm is adopted to control the hydraulic system so as to adjust the rigidity of the stabilizer bar, and the technical problems that the stabilizer bar cannot effectively cope with various working conditions and cannot give consideration to the operation stability and comfort due to the fact that the rigidity is single and cannot be adjusted in the related technology are at least solved.

The invention discloses a sliding-mode adaptive vehicle roll stability control method based on deep reinforcement learning, which is applied to an active suspension vehicle and comprises the following steps: establishing a six-degree-of-freedom steering-roll vehicle dynamics model by combining a Doguff tire model, and calculating a target vehicle body roll angle based on a reverse roll mechanism. A sliding mode controller comprising a linear sliding mode surface and an exponential approaching rate is designed, an intelligent agent based on a soft behavior strategy gradient algorithm (SAC) is constructed, and the intelligent agent adaptively outputs optimal sliding mode parameters by sensing the vehicle state and the roll angle tracking condition. And finally, the sliding mode controller combines the optimal sliding mode parameters and the vehicle state to calculate the active roll-over moment and distributes the active roll-over moment to the main power of the left and right side suspensions, so that the precise regulation and control of the vehicle body posture are realized. According to the method, the roll stability domain during high-speed steering can be remarkably expanded, the lateral sensing acceleration of passengers is reduced, the high-robustness tracking effect is kept under complex disturbance, and meanwhile sliding mode buffeting is restrained.

The vehicle control device of the present invention acquires characteristics of a road condition in front of a traveling vehicle based on external information; acquires vehicle behavior control variables for controlling the behavior of the vehicle based on estimated state variables of the vehicle that are obtained based on the characteristics, and control variables concerning speed of the vehicle based on the external information; acquires trajectory tracking control variables for causing the vehicle to track the target trajectory based on the target trajectory on which the vehicle travels that are obtained based on the characteristics and the estimated state variables; and outputs the control commands for controlling the suspension device, steering device, and braking and driving device based on the vehicle behavior control variables and the trajectory tracking control variables. This improves travel stability of the vehicle on a road surface on which an irregularity such as ruts exists.

A suspension control apparatus includes: a variable damper; a communication unit provided inside a vehicle to receive a dynamic map from a cloud; and a controller configured to adjust a force generated by the variable damper. The controller includes: a state estimation unit, which is provided inside the vehicle, and is configured to detect a motion of the vehicle; an operation-stability controller configured to calculate an AFB command value for the variable damper based on internal information output from the state estimation unit; and a dynamic-map controller configured to calculate an FF command value for the variable damper based on the dynamic map received from the communication unit. The controller determines a command value for the variable damper from the AFB command value and the FF command value.

Aspects of the present invention relate to a diagnostic apparatus (100) for use in testing an electromechanical actuator system of a vehicle (500). The diagnostic apparatus comprises one or more controllers (110), and the diagnostic apparatus configured to: generate a torque demand signal (155) corresponding to a torque demand profile (300), the torque demand profile configured to cause actuators of the electromechanical actuator system to modify a suspension of the vehicle (402); transmit the torque demand signal to the electromechanical actuator system of the vehicle (404); record a suspension characteristic of the vehicle in response to application of the torque demand signal (406); and output the recorded suspension characteristic of the vehicle (408).

Methods of performing a dispatched logistics operation for delivery / pickup of items using a modular autonomous bot apparatus assembly (with a modular autonomy module, cargo storage system, auxiliary power module, and mobility base) and a dispatch server. The modular autonomy control module receives a dispatch command from the dispatch server and authenticates that each of the modular components in the assembly are compatible with the particular dispatched logistics operation. The bot assembly receives the transported item, autonomously moves from an origin location to a destination per the dispatch command using the mobility base autonomously controlled by the modular autonomy control module, receives authentication input that at least correlates to authentication information in the dispatch comment to allow selective access to the modular cargo storage system of the bot assembly, and then autonomously returns to the origin after the item is detected removed from the cargo storage system.

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 belongs to the technical field of vehicle suspension vibration isolation, and particularly relates to a distributed driving vehicle suspension system and an active-disturbance-rejection control method, and the method comprises the following steps: 1, constructing a distributed driving vehicle suspension structure model based on active-disturbance-rejection control; 2, analyzing and expressing the active disturbance rejection control method; step 3, solving an internal parameter and a target function of the active-disturbance-rejection control strategy with the optimal performance by adopting an optimization algorithm; and 4, performing dynamic performance simulation analysis. The method has the beneficial effects that the dynamic characteristics of the complex system can be described more accurately; and the riding comfort of the vehicle is improved.

The invention discloses a method for automatically keeping a chassis of mobile intelligent equipment horizontal on a slope, and relates to the technical field of mobile intelligent equipment.The method comprises the following specific steps that terrain detection is conducted, specifically, the current terrain condition is detected in real time through a sensor system installed on the mobile intelligent equipment, and the terrain condition is determined; comprising slope angles, soil types and rock distribution information; by integrating the sensor system and the central processing unit, real-time monitoring and intelligent analysis of slope topography and road surface conditions are achieved, mobile intelligent equipment can rapidly sense and adapt to various complex topographies including soft soil slopes, rugged rock slopes and the like, and by automatically adjusting the level of the chassis, the slope topography and the road surface conditions can be monitored and analyzed in real time. And the stability and the operation performance of the equipment on different terrains are ensured, so that the terrain adaptability of the equipment is remarkably improved, the mobile intelligent equipment can play a role in a wider environment, and the application range and the practicability of the equipment are improved.