In an embodiment a control apparatus includes a processor configured to calculate a target curvature depending on a target path of a vehicle, calculate a first lateral control value based on a feedforward control by using the target curvature, calculate a second lateral control value based on a feedback control by using vehicle information collected from a sensing device of the vehicle, estimate a disturbance by using the vehicle information collected from the sensing device of the vehicle, and calculate a final lateral control command value by summing the first lateral control value, the second lateral control value, and the disturbance and a storage configured to store data and algorithms driven by the processor.

Systems and methods are provided for controlling an autonomous vehicle. A method includes using a lateral controller system for determining a vehicle's curvature. A longitudinal controller system is used for determining desired vehicle acceleration. The longitudinal controller system uses a control loop with respect to a velocity error and a feedforward term. Commands are generated based on the output of the lateral controller system and the longitudinal controller system.

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: 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 an engine speed is constant, to set the countertorque such that, as the average torque output by the engine becomes larger, the absolute value of the countertorque becomes larger.

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: 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 an engine speed is constant, to set the countertorque such that, as the average torque output by an engine becomes larger, the absolute value of the countertorque becomes smaller.

A method of operating a hybrid electric vehicle includes driving an engine to generate mechanical energy, converting the mechanical energy into a first AC voltage, estimating a total DC link current associated with a respective plurality of loads of the hybrid electric vehicle, converting, with a first inverter, the first AC voltage into a DC bus voltage by regulating the DC bus voltage based on the total DC link current, and inverting, with a respective plurality of inverters, the DC bus voltage into a respective plurality of other AC voltages to drive the respective plurality of loads on the hybrid electric vehicle.

A method for inertia drive control is provided. The method includes performing advanced inertia drive control by an inertia drive controller. The controller detects a speed reduction event during road driving of a vehicle, lane division together with road type division for a road, and performs inertia drive control guide and the inertia drive control based on drive conditions of lane change and lane maintenance.

A hybrid electric power-split vehicle, equipped with a continuously variable transmission coupling an electric motor/generator (EM) with a combustion engine (CE), includes systems and methods that reduce possible resonant noise and vibration during CE startup, by improved EM control, to generate compensating EM torque to counter act such possible resonant noise and vibration. The systems and methods include predetermined baseline CE operating condition (OC) cranking torque profiles stored as OC grids (SOCGs). A start profile is generated from selected cranking torque SOCGs, and also from selected historical start OCGs (HOCGs) of prior engine and/or CE starts, which include prior start noise and vibration metrics along with prior start OCs and related parameters. The start profile is calibrated using a blend factor that is generated from comparisons of SOCGs, and utilized to generate a feed-forward torque signal that adjusts EM torque to reduce the startup noise and vibration resonances.

An autonomous parking control device executes vehicle traveling control that calculates a command value of a propulsive force based on an operating state, and moves the vehicle to a target position autonomously by controlling a propulsive force generating device in accordance with the command value. The control device executes an additional command value varying process of adding a predetermined additional command value to the command value when the vehicle stops due to the propulsive force being insufficient during the vehicle traveling control, and decreasing or keeping the additional command value by a predetermined degree of suppression, when the vehicle which is stopped is started. Here, when executing the additional command value varying process in the first position far from the target position, the degree of suppression is set to be smaller as compared with a case of executing the process in a second position close to the target position.

A method for driving dynamics control for a transportation vehicle, wherein a manipulated variable of the driving dynamics is controlled by a control circuit having two degrees of freedom, consisting of a pilot control and a controller, to drive through a planned trajectory, wherein the control circuit has an iteratively learning controller which cyclically repeats classifying the planned trajectory by a classification device, retrieving a manipulated variable profile for the iteratively learning controller from a database based on the classification, recording a control fault of the control circuit and/or a manipulated variable of the controller when driving through the planned trajectory by a memory, and adapting the manipulated variable profile of the iteratively learning controller based on the recorded control fault and/or the recorded manipulated variable of the controller. Also disclosed is an associated device.

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: 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 is constant, to set the countertorque such that, as an engine speed of the engine becomes larger, the absolute value of the countertorque becomes larger.