Systems and methods for operating a driveline of a vehicle that includes an automatic transmission and a torque converter are described. In one example, vehicle launch is controlled according to a linear quadratic regulator that provides feedback control according to torque converter slip error and vehicle speed error. The vehicle launch is also controlled according to feed forward control that is based on requested torque converter slip and requested vehicle speed.

An apparatus of determining a target steering angle, may include: a feedforward steering angle calculator configured for determining a feed forward steering angle reflecting a yaw moment generated by torque vectoring during turning driving of an electric vehicle in autonomous driving; and an adder configured for obtaining a target steering angle by adding the determined feedforward steering angle to a feedback steering angle, the feedback steering angle being a steering angle measured through a steering angle sensor.

A method for guiding a motor vehicle on the basis of image data when autonomously driving the motor vehicle in platooning formation following a leading vehicle, by a steering controller coupled to a steering system and a headway controller receiving and controlling a vehicle's interdistance relative to a leading vehicle, said method comprising controlling, by the steering controller, the vehicle's lateral distance relative to a first lane side, said steering controller receiving inputs from a first lane side detector mounted on a first front side location of the vehicle, and from a second lane side detector mounted on a second front side location opposing said first front side location, wherein said first and second lane side detectors are spaced apart over or wider than the vehicle's width.

A hybrid vehicle includes: an engine; an output member transmitting a driving force to drive wheels; a rotating electric machine; and a power split mechanism splitting and transmitting a driving force from the engine to the output member and the rotating electric machine. Further, the power split mechanism includes an input element, connected to the engine; a reaction force element, connected to the rotating electric machine; and an output element, connected to the output member, when an engine rotation speed is to be increased, an engine torque is output by adding an engine inertia torque to an engine required torque, and a reaction force torque, corresponding to the engine required torque, is output by the rotating electric machine, and a feedback torque, constituting a feedback system with respect to a target rotation speed of the engine, is output as the reaction force torque of the rotating electric machine.

A driver assistance device, a driver assistance method, and a driver assistance system according to the present invention make it possible to: determine a departure risk of a vehicle departing from a drivable width of a road on which the vehicle travels, based on a driving environment ahead of the vehicle; determine, based on the departure risk, actuator operation variable-related information regarding an operation variable of an actuator related to a steering and/or braking/driving operation that causes the vehicle to travel along the target trajectory; and output the actuator operation variable-related information to the actuator. This allows for control that ensures stability of the vehicle and prevents lane departure of the vehicle in a compatible manner.

A yaw motion control method for a four-wheel distributed vehicle includes: calculating the steering response of the vehicle in a steady state using a nonlinear vehicle model in reference with an understeering degree while constraining by the limit value of the road surface adhesion condition according to the sideslip angle response and the vertical load change in the steady state, calculating the lateral force response and the self-aligning moment response of the tires in the steady state by a magic tire formula, calculating the required additional yaw moment by using the yaw motion balance equation, reasonably distributing the generalized control force to the four drive motors through the optimization algorithm in combination with the current driving conditions; finally, off-line storing and retrieving the calculation results of the off-line distribution of different vehicle parameters required by different upper layers to distribute the torques to the four drive wheels.

Provided is a processor-implemented method and a processor in a vehicle for estimating the value of a quantity for which a physical sensor is not available for measurement. The method includes: receiving a plurality of measured signals representing values of measurable variables; computing, in real-time, time derivatives of the measured signals; and applying a trained feedforward neural network, in real-time, to estimate values for a plurality of unmeasurable variables, the unmeasurable variables being variables that are unmeasurable in real-time, the feedforward neural network having been trained using test data containing time derivatives of values for the measurable variables and values for the unmeasurable variables; wherein the vehicle uses the estimated values for the unmeasurable variables for vehicle operation.

A system for controlling a vehicle having an autonomous mode and a semi-autonomous mode includes one or more processors and a memory in communication with the one or more processors. The memory stores a command generating module and a transmission module. The command generating module causes the one or more processors to generate, in response to an input, at least one control signal for controlling the vehicle by an envelope control system. The envelope control system utilizes a common control scheme for both the semi-autonomous mode and the autonomous mode, wherein the input is a driver input when the vehicle is in the semi-autonomous mode and the input is a pseudo-driver input when the vehicle is in the autonomous mode. The transmission module causes the one or more processors to transmit the at least one control signal to a vehicle motion controller, wherein the vehicle motion controller controls the movement of the vehicle.

An MG1 torque at a time of decreasing an engine speed of an engine is made larger when a turbocharging pressure by a turbocharger is higher than when the turbocharging pressure is lower. In this way, even if the losses of pumps of the engine differ due to the remaining turbocharging pressure during a transition of stopping the engine in turbocharging, it is possible to appropriately reduce the engine speed. Therefore, when the engine is being brought to a stop, it is possible to appropriately suppress vibration generated in the vehicle.

When an engine during rotation stop is started, a target cranking speed is set to a value at which a first rotating machine MG1 is maintained in an electric power generation state when a request engine power is an output that needs a turbocharging pressure and which is higher than when the request output is not the output that needs the turbocharging pressure, and even after the engine is brought into the operating state, an MG1 cranking torque is controlled to apply a torque for increasing an engine speed of the engine to the target cranking speed to the engine. In this way, it is possible to increase the engine speed after an autonomous operation more quickly while suppressing power consumption of the first rotating machine MG1.