Systems and processes described herein can use drive line actuators (DLAs) which can be implemented for one or more individual wheels of an electric vehicle (EV) permitting connection and disconnection of at least a portion of the axle and wheel from the electric motor suppling torque. A disconnected wheel and axle can experience less friction, and have less rotational mass then a wheel and axle that is connected to an electric motor, therefore the disconnecting wheels in which torque is not desired can result in increased efficiency and range in an EV.

In one aspect, an operating method of an intelligence vehicle driving control system is provided that comprises: a collecting step of collecting big data including a wheel torque and a speed for every vehicle type and traffic information; a torque calculating step of learning the big data using a predetermined machine learning model and inputs a specific desired speed profile to the machine learning model to calculate a motor torque of a driving vehicle; and an optimal speed profile deriving step of calculating an energy consumption required to generate the calculated motor torque using a predetermined dynamic programming method and a reverse vehicle dynamic model and deriving an optimal speed profile in which the energy consumption is minimized.

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.

Systems and methods for situational behavior of an autonomous vehicle are disclosed. In one aspect, an autonomous vehicle includes at least one perception sensor configured to generate perception data indicative of at least one other vehicle on a roadway, a non-transitory computer readable medium, and a processor. The processor is configured to determine that the other vehicle is violating one or more rules of the roadway based on the perception data, tag the other vehicle as a non-compliant driver, and modify control of the autonomous vehicle in response to tagging the other vehicle as a non-compliant driver.

The present disclosure provides a method and a device for vehicle parking control. The method includes following steps performed according to a predetermined time period until the vehicle stops at an end point: determining (101) a target position and a target speed when the vehicle arrives at the target position based on a current speed of the vehicle and a distance between a current position and the end point, the target position being on a road where the vehicle is located and in front of the vehicle; determining (102) a deceleration motion mode for the vehicle based on the current speed of the vehicle and the target speed; and performing (103) braking control for the vehicle in accordance with a vehicle braking strategy corresponding to the deceleration motion mode. The method can solve the problem in the related art associated with inaccurate vehicle parking control and uncomfortable experience.

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.

An adaptive lane-keeping system for a commercial vehicle, including: an input module for entering sensor data from at least one sensor which is configured to detect the surroundings of the commercial vehicle; an evaluation module for evaluating the sensor data to determine a relative position of the commercial vehicle on a road; a lane-keeping module for controlling a steering system of the commercial vehicle based on a lane-keeping profile that defines a torque to be applied to a steering wheel of the commercial vehicle to support keeping in a lane; and a change module for changing the lane-keeping profile in response to a change in the detected environment. Also described is a related commercial vehicle, method, and computer readable medium.

The present disclosure provides an electronic stability control method for a vehicle for performing vehicular electronic stability control simply by adjusting driving force and braking power that are generated by a driving device of the vehicle without use of a driving force distributing method between front, rear, left, or right vehicle wheels. To this end, the vehicular electronic stability control method includes determining a vehicular state value indicating a driving state of a vehicle from information collected from the vehicle, comparing the determined vehicle state value with a first reference value, and controlling an operation of a driving device for generating driving force for driving the vehicle by the controller when the vehicle state value is greater than the first reference value to adjust driving force for preventing understeer or oversteer of the vehicle.