A traction control method and a traction control apparatus for a vehicle are provided. The traction control method includes: estimating driving torque for each wheel and a difference between left and right wheel rotation speeds; determining a situation, in which the difference between the left and right wheel rotation speeds exceeds a first set value, to be a split wheel spin situation; estimating a maximum coefficient of friction between a spinning wheel and a road surface in the split wheel spin situation and estimating a maximum driving torque, at which the road surface is acceptable, by the maximum coefficient of friction; and obtaining a difference between driving torque of the spinning wheel and the maximum driving torque to calculate a road surface limitation excess driving torque and determining entry into traction control when the road surface limitation excess driving torque exceeds a second set value.

Embodiments of the present invention provide a vehicle control system comprising a speed control system, the speed control system being configured automatically to attempt to cause a vehicle to operate in accordance with a target speed value by causing a first vehicle speed value determined according to a first predetermined method to become or be maintained substantially equal to the predetermined target speed value at least in part by causing application of positive drive torque to one or more wheels by means of a powertrain, wherein the speed control system is configured to impose a constraint on the amount of driving torque that may be demanded of the powertrain in dependence on the target speed value and a second vehicle speed value determined according to a second predetermined method, said a second predetermined method being based on the mean speed of the driven wheels of the vehicle.

A method for controlling motion of a vehicle, the method comprising the steps of: obtaining input information on a vector related to the velocity of said vehicle; computing repeatably a future trajectory of said vehicle based on said input information and trial torques to be applied to at least one wheel of said vehicle for optimizing said future trajectory in view of a target vehicle motion, thereby obtaining target trial torques; and applying the obtained target trial torques to the at least one wheel for controlling the motion of said vehicle.

Controlling an actual slip of at least one driven axle of a motor vehicle with at least one axle having at least one wheel and a one drive unit for providing a drive torque for the axle and for the wheel can be carried out by a control device for controlling the drive unit. The control device can be configured for establishing a first actual speed of the motor vehicle; establishing a second actual speed of the at least one wheel; calculating a target speed of the at least one wheel for the established first actual speed taking into account parameters; determining an actual slip of the at least one wheel with respect to a substrate on which the motor vehicle is being moved; when the actual slip exceeds a defined first limit slip, generating a limit torque by which the drive torque produced by the drive unit is adjusted.

This invention involves the effect of multiple rules of the road at different elevation profiles on the speed constraints and therefore the overall fuel efficiency. A vehicle designed to optimize fuel consumption that is comprised of the rules of the road that determine maximum speed, minimum speed, stop signs, streetlights, and/or changes in other rules that determine the allowable speeds of the road, a localization mechanism, and an optimization engine to optimize the fuel economy by selecting a speed profile within that maintains the vehicle within the assigned range of speeds and minimizes fuel consumption. A wide variety of methods that typically are used to optimize the fuel efficiency of human drivers operating standard vehicles can also be applied towards autonomous vehicles driving at different speed constraints and with different changes in the elevation.

The disclosure relates to a vehicle control method. The vehicle control method includes: receiving a motion parameter of a vehicle; detecting, based on the motion parameter, whether there is a longitudinal obstacle in front of the vehicle; and when it is detected that there is a longitudinal obstacle in front of the vehicle, generating compensation torque based on the detected longitudinal obstacle, to perform compensation for control torque of the vehicle to generate required torque of the vehicle. The disclosure further relates to a vehicle control device, a computer-readable storage medium, and a vehicle.

Devices, systems, and methods for integrated predictive dynamic control of a vehicle powertrain in an autonomous vehicle are described. An example method for controlling a vehicle includes generating, based on performing an optimization on a blended smooth wheel domain fuel consumption map subject to a modified torque availability constraint, one or more wheel domain control commands, converting the one or more wheel domain control commands to one or more powertrain-executable engine domain control commands, and transmitting the one or more powertrain-executable engine domain control commands to a powertrain of the vehicle, the powertrain configured to operate a plurality of gears, wherein the one or more powertrain-executable engine domain control commands enable the vehicle to track a reference kinematic trajectory associated with a vehicle speed driving plan within a predetermined tolerance.

Methods and systems for calibrating a hybrid vehicle system for simplified control of the powertrain to optimize fuel efficiency of the hybrid vehicle and for operating a hybrid vehicle powertrain accordingly. The optimization mechanism reduces the optimized control problem to a single degree-of-freedom. Accordingly, during real-time operation of the hybrid vehicle, the system is able to quickly identify and apply optimized operating settings for a particular driver demand and, in some implementations, to provide a particular rate of change of the state-of-charge of the battery of the hybrid vehicle.

Systems and methods are provided herein for operating an electric vehicle in a vehicle yaw mode. The electric vehicle includes a normal driving mode where the electric vehicle is steered by turning the steerable wheels (e.g., left or right) and vehicle yaw mode where the vehicle controls the torque applied to each wheel. In response to receiving input to initiate vehicle yaw mode and yaw direction, the system determines the inner wheels and the outer wheels and provides forward torque to the outer wheels of the vehicle and backward torque to the inner wheels of the vehicle to rotate the vehicle.

A vehicle body speed estimation method applied to a four-wheel drive vehicle includes: acquiring an estimated vehicle body speed based on wheel speeds or a longitudinal acceleration of the vehicle; determining whether an operation condition that includes at least a condition that the estimated vehicle body speed is higher than an operation determination speed is satisfied; performing torque limitation to reduce a torque of a portion of wheels of the vehicle when the operation condition is satisfied; determining whether a stop condition that includes a condition that the estimated vehicle body speed is lower than or equal to a stop determination speed or a condition that a duration of a state where a wheel acceleration of the portion of the wheels is higher than zero is longer than or equal to a set period of time; and stopping the torque limitation when the stop condition is satisfied.