A speed control system for a vehicle. The speed control system has a torque control for automatically causing application of positive and negative torque to one or more wheels of a vehicle to cause a vehicle to travel in accordance with a target speed value. The system receives information indicative of a gradient of a driving surface over which the vehicle is driving, with the torque control being configured to control the rate of change of the amount of torque applied to the one or more wheels in order to attempt to cause the vehicle to accelerate substantially from rest to a target speed value, the rate of change of the amount of torque being controlled by the torque control in dependence at least in part on the received information indicative of the gradient of the driving surface.

A motor vehicle controller comprising data processing apparatus, the data processing apparatus configured to carry out the steps of: receiving a surface friction signal indicative of a coefficient of friction between a road wheel and a driving surface; receiving an accelerator position signal indicative of a position of an accelerator control with respect to an allowable range of positions; determining a powertrain torque limit value corresponding to an amount of powertrain torque at which slip of a driving wheel is expected to exceed a predetermined amount, the powertrain torque limit value being determined at least in part in dependence on the surface friction signal; and determining and outputting a powertrain torque demand signal corresponding to an instant amount of torque to be developed by a powertrain, the powertrain torque demand signal being determined in dependence at least in part on the accelerator position signal according to a predetermined relationship.

A method for controlling gear shifting of a working machine includes determining a representation of a first total tractive force of the working machine for the entire set of drive units; initiating a procedure for redistributing the tractive force while maintaining the first total tractive force, including decreasing, at least partly towards a level suitable for shifting gear, the torque and tractive force of at least the first drive unit down, and increasing, in a compensational manner, the torque and tractive force of at least one of the other drive units not subject to gear shifting; monitoring, during the redistribution procedure, a representation of a second total tractive force of the working machine for the other drive units not subject to gear shifting, and, provided that the second total tractive force exceeds a threshold limit that forms a function of the first total tractive force: decreasing the torque and tractive force of at least the first drive unit down to the level suitable for shifting gear and performing gear shifting for at least the first drive unit.

A method and a system for controlling wheel torques of a vehicle (201) to provide a desired vehicle yaw torque during a cornering event. A set of indirect yaw torque parameters (a,k) indicative of the indirect vehicle yaw torque contribution from lateral wheel forces are determined based on the present wheel torque data (PtTq) and the lateral acceleration data (LatAcc) and a model. A required torque for the front axis wheels (202, 204) and a required torque for the rear axis wheels (206, 208) are calculated such that the desired longitudinal wheel torque and the target vehicle yaw (M.sub.zReq) provided, taking into account the set of indirect yaw torque parameters. The calculated torques are applied to the respective individual wheels.

A vehicle, a vehicle parking assist system, and a parking method, is provided. A powertrain and a steering system may be operated to guide the vehicle into a parking location to complete a drive cycle based on a default tire radius, a tire angular velocity acquired during a drive cycle in response to a steering angle of the steering system exceeding a threshold value, and wheel and GPS vehicle speeds for the drive cycle.

Control systems and methods for an electrically all-wheel drive (eAWD) hybrid vehicle utilize an input device/sensor configured to receive an operating parameter of the hybrid vehicle, the operating parameter relating to whether to perform a gear shift of a transmission, the transmission being configured to transfer drive torque from a first torque generating unit to only a first axle of the hybrid vehicle, and a controller configured to, based on the measured operating parameter, determine whether to perform a gear shift of the transmission, and while performing the gear shift of the transmission, control a second torque generating unit to compensate for a disturbance caused by the gear shift, the second torque generating unit being configured to provide drive torque to only a different second axle of the hybrid vehicle.

A driving force control device 1 for a vehicle V comprises: a D- map M1 defining a linear correlation between a driving stiffness D and a maximum road surface ; a slip ratio calculation circuit 21 for calculating a slip ratio S of one of a pair of front road wheels 10L, 10R; a DS calculation circuit 22 for calculating the driving stiffness D corresponding to a value the slip ratio S calculated by the slip ratio calculation circuit 21; a maximum road surface calculation circuit 23 for assigning a value of the driving stiffness D calculated by the DS calculation circuit 22 to the D- map M1 to calculate the maximum road surface ; and a driving force distribution circuit 24 for controlling a driving force, using a value of the maximum road surface calculated by the maximum road surface calculation circuit 23.

A vehicle, system and a method of driving a performance vehicle. The system includes a sensor for detecting a value of driver input to the vehicle, and a processor. The processor is configured to compare the value of the driver input to a threshold value for the driver input, switch to a performance mode operation for the vehicle when the value of the driver input is greater than the threshold value, generate a command at the vehicle based on the value of the driver input using a performance model of the vehicle activated in the performance mode, and activate a performance actuator of the vehicle to generate a dynamic parameter at the vehicle from the command.

The disclosure relates to the field of autonomous driving technologies, and specifically provides a method for longitudinal control of a vehicle, a computer device, a storage medium, and a vehicle, which are intended to improve the reliability and stability of longitudinal control of a vehicle. The method provided in the disclosure includes: sequentially evaluating establishment conditions for the parking mode, the cruise control mode, the steady-state acceleration/deceleration mode, and the transient-state acceleration/deceleration mode based on planned driving trajectory information of the vehicle, to determine an initial control mode; and performing longitudinal control of the vehicle according to the initial control mode and based on the planned driving trajectory information. The method enables adaptive and smooth switch between different modes based on the planned driving trajectory information when the vehicle is controlled for autonomous driving, covering various autonomous driving tasks such as high-speed cruising, vehicle following in urban areas, and automatic parking. Therefore, the reliability and stability of longitudinal control of the vehicle is significantly improved, thus improving the comfort and safety during driving of the vehicle.

A method of estimating a performance characteristic of a wheel of a vehicle, includes selecting relevant input features based on wheel dynamics and tire behavior, and collecting experimental data for each of the relevant input features at each of a plurality of vehicle operating conditions. The method further includes manually identifying and labeling wheel stability status over time from the experimental data and calculating tractive limit over time from the experimental data. The method also includes training a tractive limit model and training a wheel stability status model. The method further includes receiving a plurality of testing inputs, wherein each of the plurality of testing inputs is received from a sensor on-board the vehicle or from a controller on-board the vehicle and, processing the received testing inputs in a predetermined machine learning process to calculate in one or more data processors a prediction of the performance characteristic.