A vehicle is provided which has a vehicle body, at least one hub of a wheel, and a suspension connecting the hub to the vehicle body. The suspension has a suspension arm hinged to the vehicle body and to the hub, a spring, and an electromechanical rotary actuator operable between an active adjustment condition and a damping condition of the motion of the suspension, via a leverage.

A mechanical bypass for a shock assembly is disclosed herein. The assembly has a damper chamber having a compression portion and a rebound portion. There is further an external reservoir in fluid communication with the rebound portion of the damper chamber via a flow path. A valve is coupled with the flow path, the valve to meter a flow of the working fluid through the flow path. A bypass port to the external reservoir is provided in the flow path and bypasses the valve. A mechanical relief valve is provided in the bypass port to block a fluid flow though the bypass port until a blow-off pressure that is higher than a normal operating pressure and less than a burst pressure of the damping chamber is provided thereon.

An adaptive suspension damper may include a body defining a working chamber, and a sleeve operably coupled to the body to alternately open the working chamber to enable a working fluid to enter or leave the working chamber relative to compression and rebound events experienced at the adaptive suspension damper, and close the working chamber to enable the piston head to act as a hydraulic ram inside the working chamber to selectively adjust a position of a piston head in the working chamber to adjust a height of a corner of a vehicle at which the adaptive suspension damper is located.

A system for determining a displacement velocity signal for controlling an active wheel suspension of a land vehicle by open-loop and/or closed-loop control includes at least one Kalman filter, and at least one acceleration sensor arranged on a sprung mass of the land vehicle to sense a vertical acceleration of the sprung mass and to generate a corresponding acceleration signal supplied to the Kalman filter. The Kalman filter includes a mathematical motion model of the sprung mass, and input states of the Kalman filter include a vertical acceleration of the sprung mass, a vertical displacement velocity of the sprung mass, and a vertical displacement distance of the sprung mass. A displacement measurement signal having a value 0 is supplied continuously to the Kalman filter to determine the displacement velocity signal. Constant noise variance values of a measurement noise covariance matrix of the Kalman filter that are assigned to the displacement measurement signal are, in each case, set at one half of a maximum vertical displacement distance of the sprung mass.

The present disclosure relates to a shock absorber with hydraulic load regulation with a rod ending in a pin, which incorporates a longitudinal channel such that the shock absorber includes a frequency amplifier which, in turn, includes a housing, a floating piston which slides along the inside of the housing achieving a seal, and a pressure control valve, wherein the pressure control valve is configured to open when the amplifier chamber reaches a certain pressure level, enabling the outlet of fluid from the amplifier chamber such that the pressure of the amplifier chamber acts on the floating piston, which moves to regulate the flow of fluid through the piston by means of an elastic element acting on valves.

The present disclosure relates to a method and an apparatus for controlling an electronic control suspension using a deep learning-based road surface classification model. The method for controlling an electronic control suspension in a vehicle including a camera and a GPS receiver may include collecting location information of the vehicle using the GPS receiver while driving, identifying whether there is a previously generated road surface classification model corresponding to a front obstacle when the front obstacle is detected, determining a first control value based on a first characteristic value corresponding to the road surface classification model when there is the road surface classification model as a result of the identification, controlling the electronic control suspension with the determined first control value when entering the obstacle, and collecting new sensing data through a physical sensor, and correcting the first characteristic value based on the new sensing data.

A vehicle control device includes an acquisition unit configured to acquire detection information in a current traveling state and position information indicating a current position of a vehicle, a transmission unit configured to transmit traveling information in which the detection information and the position information are associated with each other to an external management device, a reception unit configured to receive changed specification information of the vehicle transmitted when the management device determines that specifications of the vehicle need to be changed, and a control unit configured to change the specifications of the vehicle corresponding to the specification information and reflect the changed specifications in traveling control. The specification information includes specifications changed based on comparison between first traveling information that is current traveling information of the vehicle and second traveling information obtained when the vehicle has previously traveled at a same position.

A damping control apparatus has a control unit that controls an active actuator that generates a control force to damp a sprung, and a storage device for storing a unsprung displacement acquired based on a vertical motion state quantity of a vehicle when the vehicle travels, and the control unit determines a predicted wheel passage position where a wheel is predicted to pass, calculates a time derivative value of an unsprung displacement at the predicted wheel passage position acquired by a preview sensor, calculates a target control force based on a sum of a first control component proportional to the time derivative value and a second control component proportional to an unsprung displacement at the predicted wheel passage position acquired from the storage device, and controls a control force generating device so that a control force when the wheel passes the predicted wheel passage position becomes the target control force.

In some examples, a vehicle suspension for supporting, at least in part, a sprung mass, includes a damper connected to the sprung mass, the damper including a movable piston. The vehicle suspension further includes an actuator and a controller. The controller may be configured to determine a frequency of motion associated with the sprung mass. When the frequency of motion is below a first frequency threshold, the controller may send a control signal to cause the actuator to apply a deceleration force to the sprung mass. Further, when the frequency of motion associated with the sprung mass exceeds the first frequency threshold, the controller may send a control signal to cause the actuator to apply a compensatory force to the sprung mass. For instance, a magnitude of the compensatory force may be based on a friction force determined for the damper.

Methods, apparatus, systems, and articles of manufacture are disclosed to use front load estimates for body control are disclosed herein. An example apparatus disclosed herein includes memory including stored instructions, and a processor to execute the instructions to filter sensor data to generate a first load value, the first load value associated with a first load on a front axle of a vehicle, generate, based on the first load value and a velocity of the vehicle, a first body control adjustment value, modify a body control output value with the first body control adjustment value, and apply the modified body control output value to a suspension system of the vehicle.