A method and an apparatus for controlling an engine clutch are provided. The method includes determining whether an engine start condition is satisfied when an engine is stopped and performing an engine cranking operation by operating a hybrid starter & generator (HSG) when the engine start condition is satisfied. Whether an engine speed is greater than or equal to a first reference speed is determined to thus reduce an HSG torque. Then, whether the engine speed is greater than or equal to a second reference speed is determined to thus calculate a target speed of the engine. A speed control of the engine is performed using the target speed of the engine while determining whether an engine clutch engagement condition is satisfied. An engine clutch is engaged when the engine clutch engagement condition is satisfied.

An object detection method includes determining an error parameter associated with an amount of movement of a vehicle through a predetermined regression method based on positioning information of the vehicle and dynamics information of the vehicle with respect to a predetermined center of gravity of the vehicle, determining a velocity of a predetermined point of the vehicle, based on a fixed error parameter stored in a memory or a corrected fixed error parameter, through a comparison between the error parameter and the fixed error parameter, generating a local map in consideration of the amount of movement of the vehicle based on the determined velocity, and detecting an object around the vehicle based on the local map.

A device for predicting a future actual speed of a motor vehicle includes a low-pass filter, the low-pass filter being configured to filter a signal which is characteristic of a target speed of the motor vehicle and to provide this as a target speed of the motor vehicle; an acceleration governor, the acceleration governor being configured to predetermine a target acceleration for the motor vehicle in a time interval depending at least on the target speed of the motor vehicle; and a model, the model being configured to predict the future actual speed depending at least on the target acceleration.

A tire force estimator includes a measuring unit configured to measure an acceleration of a vehicle body of a four-wheeled vehicle in a horizontal direction and an acceleration of at least one of four wheels of the four-wheeled vehicle in a vertical direction; and a processing unit configured to estimate a tire force acting on the at least one wheel from a ground surface in the vertical direction based on the acceleration of the vehicle body in the horizontal direction and the acceleration of the at least one wheel in the vertical direction.

Disclosed are an apparatus for estimating a bounce speed of a vehicle and a method thereof. The apparatus includes an acceleration sensor that detects an acceleration of the vehicle, a front wheel speed sensor that detects a wheel speed of a front wheel of the vehicle, a rear wheel speed sensor that detects a wheel speed of a rear wheel of the vehicle, and a controller. The controller determines a wheel acceleration of the front wheel based on the wheel speed of the front wheel, determines a wheel acceleration of the rear wheel based on the wheel speed of the rear wheel, and estimates the bounce speed of the vehicle. The bounce speed of the vehicle is estimated based on the acceleration of the vehicle, the wheel acceleration of the front wheel, and the wheel acceleration of the rear wheel.

A propulsion control system provides different levels of jerk as a function of operator inputs and actual measured operational parameters in a machine. The system includes a power source, a continuously variable transmission (CVT) coupled to an output of the power source, a plurality of input/output devices, a plurality of sensors configured to generate signals indicative of operational parameters of the machine, and a controller communicatively coupled with the power source, the CVT, the input/output devices, and the sensors. The controller includes a database stored in a memory with a plurality of jerk values mapped to different operations of the machine selected from at least one of activation of a brake by an operator for an aggressive stop, a directional shift request from an operator to select one of forward, reverse, or neutral, and a set of operating conditions of the machine indicative of a blade load shedding mode. A jerk selection module is programmed to select at least one of a jerk value, an acceleration limit value, and a deceleration limit value based on a current operation of the machine. A speed command generating device is programmed to integrate a selected jerk value twice to generate a desired speed command. A proportional-integral-derivative (PID) control device is configured to continuously calculate a control error between the desired speed command and an actual speed of the machine. An output command control module is configured to output a control command for implementing a change in an output torque to at least one of the power source and the CVT to reduce the control error.

The present disclosure relates to an apparatus (1) for estimation of a vehicle state. The apparatus (1) includes a controller (21) configured to determine a first estimation of the vehicle state in dependence on at least one first vehicle dynamics parameter. A filter coefficient (F.sub.C) is calculated based on a first vehicle operating parameter. An operating frequency of a first signal filter (35) is set in dependence on the determined filter coefficient (F.sub.C) and the first estimation is filtered to generate a first filtered estimation of the vehicle state. The present disclosure also relates to a vehicle; and to a method of estimating a vehicle state.

The control method for the hybrid vehicle includes a rotation speed control torque calculation step of, based on a rotation speed command value for the electric generator and a rotation speed detection value of the electric generator, calculating a torque command value for controlling the rotation speed of the electric generator, and an electric generator control step of controlling the electric generator according to the torque command value. The rotation speed control torque calculation step calculates, using the model matching compensator and based on a value obtained by filtering the rotation speed detection value through the low-pass filter and the rotation speed command value, a basic torque command value that makes a torque response of the electric generator coincide with a preset model response, calculates, using the disturbance observer including the transfer function composed of the inverse system of the control object model patterned after a power transmission system of the electric generator connected to the engine via the gears and a disturbance observer filter, and based on the rotation speed detection value, a disturbance torque that is input into the power transmission system, and calculates the torque command value based on the basic torque command value and the disturbance torque. The relative degree of the disturbance observer filter is set so that the relative degree of the transfer function becomes 1 or more.

A cant estimating method of estimating a cant of a travelling road of a vehicle includes a step of acquiring vehicle information including information on a speed, a lateral acceleration, a steering angle, a yaw rate, and a position of each of a plurality of vehicles including a first vehicle, a step of estimating a cant of a travelling road of the first vehicle based on the vehicle information, and a step of storing the estimated cant, in association with information on the position of the first vehicle, in a cant angle database usable by the plurality of vehicles.

Disclosed herein are an apparatus and a method for controlling a redundant steering system. The apparatus includes: a first steering position controller configured to control a first MDPS module based on a first command steering angle from an autonomous driving system and a current steering angle; a second steering position controller configured to control a second MDPS module based on a second command steering angle from the autonomous driving system and the current steering angle; an internal communication interface configured to enable a communication between the first steering position controller and the second steering position controller; and a processor configured to calculate final output information including the current steering angle based on first information output from the first MDPS module and second information output from the second MDPS module, and to apply the final output information to the first steering position controller and the second steering position controller.