A method for determining a tread depth of a tread of a tire during operation of a vehicle having the tire, a control device for a vehicle for determining a tread depth of a tread of a tire of the vehicle, and a system for a vehicle having such a control device and at least one electronic wheel unit, are provided. Provision is made to determine the tread depth based on a determined instantaneous dynamic wheel radius of a wheel, having the tire, of the vehicle and a determined instantaneous dynamic inside radius of the tire. In addition, at least one further first operating parameter of the tire, selected from the group including an instantaneous roadway gradient, an instantaneous vehicle drive mode and an instantaneous tire material expansion, is determined and taken into consideration.

The present disclosure relates to a method and system for integrated path planning and path tracking control of an autonomous vehicle. The method includes: obtaining five input control variables and eleven system state variables of an autonomous vehicle at current time; constructing a vehicle path planning-tracking integrated state model according to the obtained variables at the current time; enveloping external contours of two autonomous vehicles using elliptical envelope curves to determine elliptical vehicle envelope curves of the two autonomous vehicles, respectively; determining time to collision (TTC) between the vehicles according to elliptical vehicle envelope curves and vehicle driving states; establishing an objective function of a model prediction controller (MPC) according to the model; and solving the objective function based on the TTC, and determining input control variables to the MPC at the next time. Autonomous vehicle collision avoidance can be achieved according to the present disclosure.

A method for controlling a torque of at least one wheel of a mobile platform. The method includes: providing at least one current slip value of the wheel and at least one current wheel acceleration of the wheel as input values; providing a trained radial basis function network designed to determine, by means of the input values, at least one torque change as an output value for control of the at least one wheel; and determining a current torque change, by means of the trained radial basis function network and the provided input values, for control of the torque.

A method for estimating a friction between a road surface and a tire of a steered wheel of a vehicle. The steered wheel being fit with dynamic steering. The vehicle includes a steering wheel and a set of sensors comprising wheel end sensors and steering wheel sensors configured to measure signals corresponding to a set of parameters., The steering wheel parameters comprising at least a steering wheel torque and a steering wheel angle. The method comprising the following steps implemented by the electronic control unit collect the signals, corresponding to the set of parameters, measured by the sensors during a period of time; process, by the signal processing module, the signals collected to provide processed signal data provide the processed signal data as input to the wheel end friction estimation model, the wheel end friction estimation model being configured to output a friction estimation of the friction between the road surface and the tire of the wheel.

A computer-implemented method performed in a vehicle control unit for controlling motion of a heavy-duty vehicle. The method includes obtaining a vehicle motion request, wherein the vehicle motion request is indicative of a target curvature and a target acceleration, determining a motion support device, MSD, control allocation based on the vehicle motion request, determining a dynamic wheel slip angle limit based on the vehicle motion request, where dynamic wheel slip angle limit increases with a decreasing target acceleration, and controlling the motion of the heavy-duty vehicle based on the MSD control allocation constrained by the dynamic wheel slip angle limit.

A method of controlling posture of a vehicle is provided to determine a minute tendency of understeer or oversteer of the vehicle and to control the posture of the vehicle when recognizing the minute tendency of the understeer or oversteer while driving the vehicle straight. The includes determining whether torque is applied to drive wheels while driving the vehicle and acquiring equivalent inertia information of a drive system in real time based on drive system operation information in response to determining that the torque is being applied to the drive wheels. The understeer or oversteer of the vehicle is determined from the equivalent inertia information obtained in real-time.

A vehicle information processing method for calculating a feature related to an operation of a vehicle includes: receiving input information including at least one of information on a driving operation performed on the vehicle, information on an operating state of driver assistance of the vehicle, and information on a behavior of the vehicle; and calculating the feature by using the input information received during a predetermined period in which a predetermined condition is satisfied out of a period in which the input information is received. The predetermined condition includes a condition that a driving situation of the vehicle is a predetermined driving situation corresponding to the feature.

A method and an arrangement for simulating the motion of a rotatable body in a simulation computer using a brake test bench, which has an engine, a real rotatable body representing the simulated rotatable body and a brake. The method includes the method steps of: specifying a target speed, applying this target speed to the engine, rotating the real rotatable body, specifying a braking value, controlling the brake on the basis of the specified braking value, measuring the actual torque and the actual speed of the real rotatable body, determining whether the actual speed exceeds a predetermined limit speed, and simulating the motion of the rotatable body on the basis of a torque of the simulated rotatable body. In this way, a possibility for simulating the motion of a rotatable body is provided, which provides at least approximately correct results even for low speeds of the rotatable body.

A method for controlling axle load distribution of a heavy-duty vehicle during a maneuver, wherein the heavy-duty vehicle comprises a number of wheel axles and one or more motion support devices arranged to adjust a relative axle load of one or more wheel axles of the number of wheel axles, the method comprising obtaining a vehicle model and a tire model, wherein the vehicle model and the tire model are jointly configured to predict a tire scrubbing force in dependence of a vehicle state comprising a relative axle load distribution during the maneuver, determining a nominal tire scrubbing force for a current relative axle load distribution, determining an improved relative axle load distribution maneuver associated with a reduced tire scrubbing force compared to the nominal tire scrubbing force, and controlling the one or more motion support devices to provide the improved relative axle load distribution during the maneuver.

Embodiments of this application disclose a vehicle control method and device, where the method includes: calculating a longitudinal force interference compensation torque and a lateral force interference compensation torque of a vehicle when a flat tire occurs in the vehicle; calculating a feedback control torque of the vehicle; determining an additional yaw moment based on the longitudinal force interference compensation torque, the feedback control torque, and the lateral force interference compensation torque; and controlling, based on the additional yaw moment, a wheel in which the flat tire occurs.