Disclosed herein is an apparatus for predicting movement of a user of a vehicle. The apparatus may include an acceleration sensor that senses an acceleration of the vehicle, a braking controller that automatically controls a deceleration of the vehicle, a steering controller that automatically controls a direction of the vehicle, and a control circuit electrically connected to the acceleration sensor, the braking controller, and the steering controller, where the control circuit may monitor an operation of the braking controller, and predict a movement of the user of the vehicle based on a longitudinal acceleration of the vehicle sensed by the acceleration sensor and a first predetermined parameter when braking by the braking controller is detected.

Methods and systems for calibrating a hybrid vehicle system for simplified control of the powertrain to optimize fuel efficiency of the hybrid vehicle and for operating a hybrid vehicle powertrain accordingly. The optimization mechanism reduces the optimized control problem to a single degree-of-freedom. Accordingly, during real-time operation of the hybrid vehicle, the system is able to quickly identify and apply optimized operating settings for a particular driver demand and, in some implementations, to provide a particular rate of change of the state-of-charge of the battery of the hybrid vehicle.

A control method for a hybrid vehicle including a generator and an electric motor, the generator being configured to charge a battery by use of power of an engine, the electric motor being configured to drive driving wheels by electric power of the battery, is provided, is provided. The control method having controlling the generator and the electric motor and accepting mode setting to set any of a normal mode, a regeneration driving mode, and a silent mode, the regeneration driving mode being a mode in which a regenerative braking force caused by the electric motor is larger than that in the normal mode, the silent mode being a mode in which charging by the engine is inhibited, wherein: when the normal mode is set, setting of the silent mode is not accepted; and when the regeneration driving mode is set, setting of the silent mode is accepted.

An embodiment of the present invention provides an artificial intelligence apparatus for controlling an auto stop function, including: an input unit configured to receive brake information and velocity information of a vehicle; a storage unit configured to store a control model for the auto stop function; and a processor configured to: acquire driving information comprising the brake information and the velocity information through at the input unit, acquire base data used for determining a control of the auto stop function from the driving information, determine a control mode for the auto stop function by using the base data and the control model for the auto stop function, and control the auto stop function according to the determined control mode, wherein the control mode is one of an activation mode which activates the auto stop function or a deactivation mode which deactivates the auto stop function.

A mild hybrid vehicle controlling method, wherein the mild hybrid vehicle has a driver assistance module for detecting peripheral vehicle information and a mild hybrid starter & generator (MSHG) may comprises comparing, by a controller, the peripheral vehicle information with a predetermined reference value and deciding whether after-treatment regeneration control is performed or not according to a result of the comparison.

A vehicle, and a method and system for operating the vehicle. The system includes a processor. The processor receives a driver input at the vehicle, determines a current lateral force on a tire of the vehicle for the driver input, determines a desired yaw rate and lateral velocity for the vehicle based on the current lateral force on the tire that operates the vehicle at a maximum yaw moment, and operates the vehicle at the desired yaw rate and lateral velocity.

The invention relates to an airport vehicle having an anti-collision system and a method for operating the vehicle, where the vehicle comprises a distance sensor, a 3D sensor system comprising two individual 3D sensors, a brake activation system arranged for activating the braking system of the vehicle, an operator visual indication system, and an anti-collision processing system for controlling the visual indication system as a result of sensed parameters from said distance sensor and said 3D sensors, and for controlling the brake activation system depending on the sensed parameters, such that when a predefined minimum distance is sensed by the distance sensor, the visual indication system and said brake activation system are activated, and when the 3D sensor senses an aircraft part, the visual indication system and/or said brake activation system is activated, where the brake activation system is arranged

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A vehicle guidance system detects when a driver of the vehicle manually intervenes in the longitudinal and/or transverse guidance of the vehicle while the vehicle is being operated in an automated driving mode. The vehicle guidance system outputs an indication to the driver via a user interface of the vehicle prompting the driver to take over the longitudinal and/or transverse guidance of the vehicle. The vehicle guidance system also continues to provide the longitudinal and/or lateral guidance of the vehicle in at least a partially automated manner for a takeover period of time and/or for a takeover distance.

The disclosed vehicle braking device controls a hydraulic brake system (2) and a regeneration brake system (3) mounted on a vehicle (1) in accordance with an acceleration value and a brake value, and includes a first divider (11), a second divider (12), and a controller (13). The first divider (11) divides a driver demand torque set according to the accelerator value into a target coast torque and a remaining torque. The second divider (12) divides a sum of a deceleration torque set according to the brake value and the target coast torque divided by the first divider (11) into a hydraulic-brake demand torque and a regeneration-brake demand torque. The controller (13) controls the hydraulic brake system (2), using the hydraulic-brake demand torque, and controls the regeneration brake system (3), using a total regeneration brake torque calculated from the remaining torque and the regeneration-brake demand torque. This configuration can improve the feeling of operating the brake, resolving the feeling of the shortage of deceleration.

A vehicle control system for controlling braking in a vehicle may include a braking system operably coupled to one or more wheels of the vehicle to provide brake inputs to the one or more wheels responsive to a torque request generated based on pedal position. The system may further include a pedal position sensor operably coupled to a brake pedal to determine the pedal position responsive to actuation of the brake pedal by a driver of the vehicle, a pedal feel simulator operably coupled to the brake pedal to provide tactile feedback to the driver via a pedal force applied to the brake pedal, an accelerometer for determining a rate of velocity reduction of the vehicle during the actuation of the brake pedal, and a feedback augmenter operably coupled to the pedal feel simulator to provide a pedal force offset to increase the pedal force provided to the brake pedal based on the rate of velocity reduction.