A work vehicle comprising a vehicle support structure, a vehicle axle, a longitudinal rocking arm attached to the vehicle axle and comprising a first connection locus connected to the vehicle support structure, a sensor configured for detecting movement of the vehicle axle and a vehicle suspension system comprising a vehicle suspension link device comprising a link element comprising a second connection locus connected to the vehicle axle and a third connection locus connected to the vehicle support structure. The work vehicle comprises a sensor link comprising a first attachment point connected to the vehicle axle and a second attachment point connected to the sensor, the first attachment point being located on a virtual straight axis connecting the first connection locus of the longitudinal rocking arm and the second connection locus of the link element.

A working vehicle includes a machine body frame to which an engine is fixed, a front axle case that supports an axle of a front wheel and is rockable about a rocking shaft, a suspension device that absorbs vibration transmitted from the front axle case to the machine body frame, and a support member that is fixed to the machine body frame so as to be located below the engine, supports the rocking shaft, and defines a routing space in which a linear member (first hose, second hose extending in a front-rear direction can be routed between the support member and the engine.

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.

An off-road vehicle includes a chassis, an engine connected to that chassis and at least two tracks for supporting the vehicle on a surface, the tracks including a first track adjacent a first lateral edge of the chassis, a second track adjacent a second lateral edge of the chassis the tracks each being part of a separate first and second track assembly, each track assembly including a subframe with multiple wheels positioned around its circumference to guide the corresponding track, the subframe connected to the chassis using first and second axles, each subframe hingeably connected to the chassis at the first axle and moveably connected to the chassis via a suspension system at the second axle to allow vertical movement of the subframe with respect to the chassis, the suspension system including a Watt's linkage, and the first and second track assemblies each have a separate Watt's linkage.