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.

A number of illustrative variations may include a system including brake-to-steer algorithms may achieve lateral control of a vehicle without longitudinal compensation but may also force a vehicle to slow down too rapidly before appropriate lateral movement can be achieved and may deliver an unnatural driving experience for vehicle occupants. A more natural feeling deceleration may be achieved by optimally selecting appropriate transmission shifts to allow for optimal engine speed or electric motor speed and torque based on current vehicle speed thereby reducing undesirably longitudinal disturbance.

A platooning control apparatus may include a processor configured to detect the occurrence of acceleration and shifting of a vehicle in front of a host vehicle based on information received from the vehicle in front during platooning, and to set a feedforward control input value of a host vehicle to zero for controlling an inter-vehicle distance with the vehicle in front in a section in which the acceleration and the shifting of the vehicle in front occurs; and a storage configured to store data and algorithms driven by the processor.

A vehicle travel control device executes trajectory following control to make the vehicle follow a target trajectory. A delay time represents control delay of the trajectory following control. A delay compensation time is at least a part of the delay time. The trajectory following control includes: displacement estimation processing that estimates a displacement of the vehicle in the delay compensation time; and delay compensation processing that corrects a deviation between the vehicle and the target trajectory based on the estimated displacement to compensate the control delay. The displacement estimation processing is effective in an effective period and ineffective in an ineffective period. When the ineffective period is included in the delay time of the trajectory following control, the displacement estimation processing is executed in a temporary mode by using sensor-detected information in the effective period without using the sensor-detected information in the ineffective period.

A vehicle control device includes a processor. The processor is configured to: output a torque command value related to a rotation speed of a wheel of a vehicle; specify an estimated value which is a value obtained by estimating the rotation speed of the wheel based on the torque command value; and determine a parameter based on an error between the estimated value and a measured value which is a value obtained by measuring the rotation speed of the wheel. The torque command value is determined by a feedforward control using a target value which is a value as a target of the rotation speed of the wheel and the parameter.

Systems and methods are provided herein for controlling the speed on each wheel of a vehicle, possibly operating a vehicle in a speed control mode. In response to receiving input to engage speed control mode and receiving an accelerator pedal input, the system determines a target wheel speed based on the accelerator pedal input, monitors wheel speed of each of a plurality of wheels and determines, for each monitored wheel, a difference based on the monitored wheel speed and the target wheel speed. A torque is provided to each of the plurality of wheels based on the respective difference to achieve the target wheel speed.

The disclosed invention makes use of slip related values to calculate friction related values and tire stiffness related values and feeds back an estimated tire stiffness relates value or a calculated friction related as a basis for further calculations. In particular, the disclosure relates to methods, apparatuses and computer program products to achieve the mentioned objective.

A control device for electric motor vehicle configured to decelerate by a regenerative braking force of the motor detects an accelerator operation amount, calculates a motor torque command value and controls the motor on the basis of the calculated motor torque command value. Further, a speed parameter proportional to a traveling speed is detected, and a feedback torque for stopping the electric motor vehicle is calculated on the basis of the detected speed parameter. Furthermore, the speed parameter is estimated in accordance with a state of the electric motor vehicle, and a feedforward torque is calculated on the basis of the estimated speed parameter. When accelerator operation amount is not larger than a predetermined value and the electric motor vehicle stops shortly, the motor torque command value is converged to zero on the basis of the feedback torque and the feedforward torque with a reduction in the traveling speed.

A method for the closed-loop and/or open-loop control of a lateral guidance of a vehicle with the aid of a lane-keeping assist. In the process, a detection signal is read in which represents hands-off and/or hands-on driving of the vehicle. If the detection signal represents the hands-off driving, then a closed-loop control signal is provided for controlling the lateral guidance in closed loop. On the other hand, if the detection signal represents the hands-on driving, then an open-loop control signal is provided for controlling the lateral guidance in open loop.

A method, an apparatus, a computer storage medium and a terminal for implementing autonomous driving decision-making are disclosed. Image information is processed by the probabilistic object detection to obtain a probabilistic object detection result set containing multiple probabilistic object detection result. An uncertainty in the object detection process is estimated by the probabilistic object detection results contained in the set of the probabilistic object detection result. An environmental state information set is generated from the probabilistic object detection results in the probabilistic object detection result set and the perceptual information, then an optional action set considering the uncertainty is generated using a preset decision-making method, and an action for vehicle driving control is determined according to the optional action set and the environmental state information set.