A vehicle sideslip estimation system includes sensors mounted on a vehicle and a kinematic model receiving signals from the sensors to estimate a lateral velocity of the vehicle. A compensated acceleration calculator calculates a compensated lateral acceleration as a measure of conditions that result in a deviation of a measured lateral acceleration. A lateral acceleration calculator determines, based on the compensated lateral acceleration and the measured lateral acceleration, if a lateral acceleration error is larger than a predefined threshold. A filter corrects the estimated lateral velocity of the vehicle when the lateral acceleration error is larger than the predefined threshold. A velocity output register registers the estimated lateral velocity of the vehicle when the lateral acceleration error is smaller than the predefined threshold, and a sideslip calculator calculates a sideslip angle of the vehicle in real time from the registered lateral velocity of the vehicle and a vehicle longitudinal velocity.

A vehicle sideslip estimation system includes sensors mounted on a vehicle and a kinematic model receiving signals from the sensors to estimate a lateral velocity of the vehicle. A compensated acceleration calculator calculates a compensated lateral acceleration as a measure of conditions that result in a deviation of a measured lateral acceleration. A lateral acceleration calculator determines, based on the compensated lateral acceleration and the measured lateral acceleration, if a lateral acceleration error is larger than a predefined threshold. A filter corrects the estimated lateral velocity of the vehicle when the lateral acceleration error is larger than the predefined threshold. A velocity output register registers the estimated lateral velocity of the vehicle when the lateral acceleration error is smaller than the predefined threshold, and a sideslip calculator calculates a sideslip angle of the vehicle in real time from the registered lateral velocity of the vehicle and a vehicle longitudinal velocity.

An apparatus and a method for controlling motion of a vehicle to improve turning motion performance are provided. The processor determines a riding position of a user, receives information about a steering angle of the vehicle, and outputs a vehicle control signal with regard to turning motion performance according to at least one of a phase difference between a yaw rate and lateral acceleration or a lateral slip angle with respect to the riding position, based on the received steering angle. A controller controls the vehicle in accordance with the vehicle control signal. The apparatus provides a passenger of the vehicle with optimal turning motion performance.

An apparatus and a method for controlling motion of a vehicle to improve turning motion performance are provided. The processor determines a riding position of a user, receives information about a steering angle of the vehicle, and outputs a vehicle control signal with regard to turning motion performance according to at least one of a phase difference between a yaw rate and lateral acceleration or a lateral slip angle with respect to the riding position, based on the received steering angle. A controller controls the vehicle in accordance with the vehicle control signal. The apparatus provides a passenger of the vehicle with optimal turning motion performance.

A method includes identifying mass distribution data of an autonomous vehicle (AV). The mass distribution data is associated with a first load proximate a first distal end of a first axle of the AV and a second load proximate a second distal end of the first axle of the AV. The method further includes determining, based on the mass distribution data, one or more handling maneuver limits for the AV. The method further includes causing the AV to travel a route based on the one or more handling maneuver limits.

A method for checking the plausibility of a lateral acceleration and further input variables of a transmission shifting program includes measuring, over a defined route section, a lateral acceleration signal, calculating a mean value of the measured lateral acceleration signal, and calculating, based on the further input variables, a plurality of n≥2 different lateral acceleration sensor reference variables. The different lateral acceleration sensor reference variables are calculated by a lateral acceleration reference model for the defined route section. The method further includes determining, for each respective lateral acceleration sensor reference variable, a respective mean value of a calculated lateral acceleration, determining deviations of the mean value of the measured lateral acceleration and the mean values of the calculated lateral accelerations, and evaluating, based on a magnitude of the deviations, whether or not the measured lateral acceleration and the further input variables are plausible.

In a vehicle, GV control and M+ control are executed by generating braking/driving forces from a brake hydraulic pressure control device and a drive device during steering. A controller estimates (calculates), by a posture estimation unit, a pitch amount and a roll amount (predicted pitch rate and predicted roll rate) that occur in the vehicle through use of a moment command of the M+ control and a longitudinal G command of the GV control. The controller adjusts damping forces of damping force variable dampers through use of the estimated pitch amount and the estimated roll amount (predicted pitch rate and predicted roll rate) so that a pitch amount calculated by a pitch control unit and a roll amount calculated by a roll suppression unit approach respective target values.

In a vehicle, GV control and M+ control are executed by generating braking/driving forces from a brake hydraulic pressure control device and a drive device during steering. A controller estimates (calculates), by a posture estimation unit, a pitch amount and a roll amount (predicted pitch rate and predicted roll rate) that occur in the vehicle through use of a moment command of the M+ control and a longitudinal G command of the GV control. The controller adjusts damping forces of damping force variable dampers through use of the estimated pitch amount and the estimated roll amount (predicted pitch rate and predicted roll rate) so that a pitch amount calculated by a pitch control unit and a roll amount calculated by a roll suppression unit approach respective target values.

This monitoring device comprises: an acceleration acquisition unit for acquiring acceleration data of a vehicle traveling along a track; an acceleration effective value acquisition unit for acquiring a plurality of acceleration effective values obtained by applying a bandpass filter for each of a plurality of constant specific bandwidths to the acceleration data; a corrected acceleration calculation unit for calculating a corrected acceleration on the basis of each of the acceleration effective values of the respective constant specific bandwidths and predetermined correction coefficients corresponding to the respective constant specific bandwidths; and an abnormality detection unit for detecting an abnormality of the vehicle or of the track on the basis of the magnitude of the corrected acceleration.

A method for controlling the actuation of an actuatable restraint to help protect a vehicle occupant in response to a rollover event is implemented in a controller of a vehicle safety system that includes the actuatable restraint. To implement the method, the controller is configured to execute a roll discrimination metric that discriminates the occurrence of a ramp rollover event or an embankment rollover event in response to a vehicle roll rate (R_RATE) having a magnitude that exceeds a predetermined threshold roll rate (R_RATE). The controller is also configured to execute a switching metric that is operative to reduce the predetermined threshold roll rate (R_RATE) in response to a vehicle pitch rate (P_RATE) having a magnitude that exceeds a predetermined threshold pitch rate (P_RATE).