A vehicle includes a suspension system for providing configurable stiffness and damping. The system includes a plurality of hydraulic cylinders, each corresponding to a respective wheel of the vehicle, and one or more valve assemblies for controlling hydraulic fluid in the plurality of hydraulic cylinders to achieve a plurality of suspension modes affecting bounce, pitch, roll, and warp. The system also includes a plurality of accumulators acting as spring elements for storing and releasing the hydraulic fluid as the plurality of hydraulic cylinders compress and rebound. The system includes control circuitry for controlling the valve assemblies to achieve one or more suspension modes defining bounce, pitch, roll, and warp stiffnesses. By generating control signals for the valve assemblies, various interconnections or fluid paths can be achieved, corresponding to the suspension modes. The hydraulic cylinders are double acting, with rebound and compression volumes, and may be coupled to damping valves.

A method for controlling a rotation damper operating according to the gyroscopic principle for a motor vehicle, wherein the rotation damper includes a flywheel, which is driven by a drive and rotating about a rotation axis with an angular velocity .sub., which is cardanically mounted via a first bearing element and via a second bearing element, wherein the flywheel is rotatably mounted on a first bearing element and at a rotation angle , and the first bearing element is rotatably mounted on a second bearing means about a first axis that is oriented orthogonally to the rotation axis of the flywheel, and the second bearing element is rotatably mounted at a second rotational angle ().

A vehicle includes a suspension system having a damping system that includes a plurality of dampers and a plurality of damper valves. The vehicle further includes one or more processors configured to determine energy content of an acceleration signal indicative of acceleration of the vehicle. The one or more processors are further configured to dynamically tune a cutoff frequency of a high-pass filter based on the energy content of the acceleration signal. The one or more processors are configured to filter, via the high-pass filter, a velocity signal derived from the acceleration signal to output a filtered velocity signal. The one or more processors are configured to control operation of the damping system based on the filtered velocity signal.

An electronically controlled suspension system for a motor vehicle having a sprung mass, an unsprung mass, and a control arm attached between the sprung and unsprung masses, may include an active mass damper and a driver to control the active mass damper, wherein the active mass damper is mounted to the control arm such that a first force applied by the active mass damper to the unsprung mass through the control arm is a fraction of a total force applicable by the active mass damper and a second force applied by the active mass damper to the sprung mass through the control arm is a remaining fraction of the total force, wherein the fraction is defined by a ratio of a distance of the active mass damper from the one end of the control arm and a length of the control arm.

An intelligent collaborative operation control strategy for an electro-hydraulic suspension system of a high-horsepower tractor is provided, including: S1, establishing an operation task database; S2, collecting information of the electro-hydraulic suspension system during an operation of the high-horsepower tractor in real time as real-time data; S3, preprocessing the real-time data; S4, analyzing a dataset and generating a preliminary control strategy for the electro-hydraulic suspension system based on parameters in the operation task database; S5, performing data interaction and collaborative control with operation units; S6, identifying deviations between operation status data and expected control parameters; S7, dynamically adjusting the preliminary control strategy. Through implementation of sensing technology and machine learning algorithms, real-time and precise adjustment of operation parameters for the suspension system of the tractor is achieved, significantly enhancing a level of automation and intelligence in operations, thereby effectively improving efficiency and economic benefits of agricultural operations.

A vehicle includes a suspension system having a damping system that includes a plurality of dampers and a plurality of damper valves. The vehicle further includes one or more processors configured to determine energy content of an acceleration signal indicative of acceleration of the vehicle. The one or more processors are further configured to dynamically tune a cutoff frequency of a high-pass filter based on the energy content of the acceleration signal. The one or more processors are configured to filter, via the high-pass filter, a velocity signal derived from the acceleration signal to output a filtered velocity signal. The one or more processors are configured to control operation of the damping system based on the filtered velocity signal.

A suspension system performs calculations using machine learning by making sensor information and suspension state information associate with each other. The suspension system includes: a weight parameter storage unit; a vehicle state estimation unit; a first vehicle behavior calculation unit that calculates a first physical value based on the estimation result; a second vehicle behavior calculation unit that calculates a second physical value based on the sensor information; an estimation accuracy verification unit that outputs estimation accuracy of the state of the suspension by comparing the first physical value and the second physical value to each other; and a traveling data control unit that instructs learning of weight parameters based on an output result of the estimation accuracy.