A control system for a vehicle is provided, which includes a driving force source configured to generate torque for driving drive wheels, a steering wheel, a steering angle sensor, and a controller. Based on the detected steering angle, the controller reduces the driving torque to add deceleration to the vehicle when the steering wheel is being turned in one direction, and increases the torque to add acceleration when the steering wheel is being turned back in the other direction. The controller controls the torque, when the steering wheel is being turned in the returning direction from a state where it is turned in the one direction, so as to add forward acceleration until the steering wheel returns to a neutral position, and when the steering wheel is then being turned in the other direction after passing through the neutral position, so as not to add the forward acceleration.

A system and a method are configured to control a traction force of a vehicle, for example, an electrified vehicle. The system includes wheel speed sensors mounted on drive wheels, respectively, of the vehicle to measure a drive wheel speed, a disturbance observer for extracting a primary disturbance by comparing an actual vehicle behavior based on a required torque with a vehicle behavior estimated based on the drive wheel speed using a vehicle behavior model in an acceleration situation of the vehicle, a filter for extracting a secondary disturbance in a preset frequency range from the primary disturbance, a compensator for calculating a compensation torque for cancelling the secondary disturbance, a hysteresis circuit for determining whether to compensate for the required torque based on the compensation torque, and a calculator for calculating a compensated required torque using the required torque and the compensation torque.

A vehicle with a hybrid drivetrain including a fuel-fed engine coupled to a first drive axle, an electric motor coupled to a second drive axle and an APU for providing electrical power at stopover locations, and further including a controller for determining a location of the vehicle, a location of a stopover location, determining a target SOC of a battery for operating the APU at the stopover location and operating a hybrid control system to provide the target SOC for the vehicle at the stopover location.

A vehicle state estimation device for a vehicle provided with an inertial measurement sensor and a wheel speed sensor includes: a vehicle state estimation unit that estimates a vehicle state including a vehicle velocity based on an acceleration and an angular velocity acquired by the inertial measurement sensor and a wheel speed acquired by the wheel speed sensor; and a determination unit that determines whether a wheel is slipping. The estimation unit estimates a steady-state vehicle velocity based on the wheel speed and calculates a transient vehicle velocity by time integration based on the acceleration and the angular velocity. When the wheel is slipping, the estimation unit decides an estimated value of the vehicle velocity to be close to the transient vehicle velocity, and when the wheel is not slipping, the estimation unit decides the estimated value of the vehicle velocity to be close to the steady-state vehicle velocity.

A method of curve speed adjustment for a road vehicle includes obtaining data on: current ego velocity; distance and curvature of an upcoming road segment, represented by a set of control points to be negotiated; road property of a road comprising the road segment; environmental properties; and driver properties. The obtained data is continuously streamed to a data processing arrangement arranged to perform a translation to target velocities for the respective control points and, for each respective control point, a translation from target velocity for that control point and distance to that control point and obtained current ego velocity, to a target acceleration to reach that control point at its target velocity. The resulting target accelerations are continuously streamed to a control unit of the road vehicle to adjust the road vehicle acceleration to reach each respective control point at its target velocity.

An anticipating module for a device for controlling, in real time, the path of a motor vehicle includes a sub-module for computing a turning command for compensating for the curvature of a bend in the lane of the vehicle and a variable-gain device that is connected to an output of the computing sub-module. The gain of the variable-gain device is connected to a controller to adjust the gain so as to decrease the lateral offset between the centre of gravity of the vehicle and the centre of the lane of the vehicle depending on the result of the comparison of components of a vector of current measurements of state variables of the device to one another and to a detection threshold, the output of the variable-gain device being the steering command for compensating for the curvature of the bend.

Provided are a driving force control method and device for a hybrid vehicle, each capable of effectively absorbing torque fluctuation of an engine while suppressing deterioration in energy efficiency. The driving force control device for a hybrid vehicle comprises a PCM configured to: identify a speed reduction ratio in a driving force transmission mechanism; estimate an average torque output by an engine; estimate a torque fluctuation component of the torque output by the engine; set a countertorque for suppressing the estimated torque fluctuation component; and control an electric motor to output the set countertorque, wherein the PCM is operable, under a condition that the average torque output by the engine and an engine speed are constant, to set the countertorque such that, as the speed reduction ratio becomes smaller, the absolute value of the countertorque becomes larger.

A method for predicting whether another vehicle in the driving-environment of an ego-vehicle will execute a lane-change, based on observations of the driving-environment of the ego-vehicle, including: the observations are supplied to individual classificators; based on at least a portion of the observations, each individual classificator, in accordance with an individual instruction, ascertains an individual probability that the other vehicle will change lanes; the driving situation in which the ego-vehicle finds itself is classified as a whole by a situation classificator into one of several discrete classes; a record of weighting factors, assigned to the class into which the situation-classificator has classified the driving-situation, is ascertained, that indicates the relative weighting of the individual classificators for this driving situation; the individual probabilities are set off against the weighting-factors to form an overall probability that the other vehicle will change lanes. A method for training weighting-factors and related computer-program are described.

An anticipating module for a device for controlling, in real time, the path of a motor vehicle includes a sub-module for computing a turning command for compensating for the curvature of a bend in the lane of the vehicle and a variable-gain device that is connected to an output of the computing sub-module. The gain of the variable-gain device is connected to a controller to adjust the gain so as to decrease the lateral offset between the centre of gravity of the vehicle and the centre of the lane of the vehicle depending on the result of the comparison of components of a vector of current measurements of state variables of the device to one another and to a detection threshold, the output of the variable-gain device being the steering command for compensating for the curvature of the bend.

The present disclosure relates to a method for controlling at least one actuator of a vehicle, the actuator being configured to apply a torque on at least one wheel of the vehicle, wherein the applied torque is determined by a control function associated with a control bandwidth, the method comprising configuring the control function to control the applied torque to reduce a difference between a first parameter value related to a current rotational speed of the wheel and a second parameter value related to target rotational speed of the wheel; obtaining data indicative of a current operating condition of the vehicle; setting the control bandwidth of the control function in dependence of the current operating condition of the vehicle; and controlling the actuator using the control function.