A method for managing a powertrain (3) of a motor vehicle (1) comprises the following steps: (a) determining a predictive rolling resistance coefficient (Crr) for at least one tyre (10) of the motor vehicle (1); and (b) adapting the operation of the powertrain (3) according to the predictive rolling resistance coefficient (Crr) in order notably to optimize the energy consumption of the motor vehicle (1).

Sound signals are received by one or more microphones disposed at an ADV. The sound signals are analyzed to extract a feature of a road on which the ADV is driving. A road condition of the road is determined based on the extracted feature. A path planning and speed planning is performed to generate a trajectory based on the road condition. The ADV is controlled to drive autonomously according to the generated trajectory.

Systems and methods described herein include implementation of road surface-based localization techniques for advanced vehicle features and control methods including advanced driver assistance systems (ADAS), lane drift detection, passing guidance, bandwidth conservation and caching based on road data, vehicle speed correction, suspension and vehicle system performance tracking and control, road estimation calibration, and others.

Methods, apparatuses, computer program products, systems for estimating a tire operating efficiency and range of an electric vehicle are disclosed. In a particular embodiment, a method includes determining a tire load parameter for a tire based in part on a tire deformation parameter generated by a tire mounted sensor (TMS); determining a coefficient of rolling resistance parameter for the tire based in part on a tire pressure measurement and a linear velocity measurement; and determining, based on the tire load parameter and the coefficient of rolling resistance parameter, a force of rolling resistance parameter for the tire.

A vehicle includes a frame having a left side and a right side, a plurality of wheels including a plurality of left wheels at the left side of the frame and a plurality of right wheels at the right side of the frame, and a vehicle stability system including an actuator device selectively actuated to balance the vehicle on either the plurality of left wheels or the plurality of right wheels while maintaining a space between the other of the plurality of left wheels or the plurality of right wheels and a ground surface.

A vehicle may include a camera obtaining a surrounding image around the vehicle; and a controller configured to derive spatial recognition data by learning the surrounding image of the vehicle as an input value of the controller, derive object recognition data including wheel area data of surrounding vehicles around the vehicle by learning the surrounding image of the vehicle as an input value of the controller, determine a ground clearance between a bottom surface of a vehicle body of the surrounding vehicles and a ground by use of the spatial recognition data and the wheel area data, and control the vehicle to park the vehicle according to the ground clearance.

Proposed is a road slope estimation method for a vehicle. The method includes: calculating, by a controller, a basic slope based on an output value of an acceleration sensor of the vehicle; calculating, by the controller, an acceleration/deceleration correction value from an acceleration/deceleration correction map; and calculating, by the controller, a turning correction value from a turning correction map. The method further includes: calculating, by the controller, a final slope based on the basic slope, the acceleration/deceleration correction value, and the turning correction value; and controlling the vehicle based on the final slope.

A method for determining a state of a road surface in which, a time-series waveform of tire vibration detected by an acceleration sensor is windowed by a windowing means with a time T and a feature vector X.sub.i in each time window is calculated through the extraction of a time-series waveform of the tire-vibration in each time window. Thereafter, in the calculation of a kernel function K.sub.A from the feature vector X.sub.i in each time window and a road surface feature vector Y.sub.Aj that is a feature vector in each time window calculated from a time-series waveform of tire-vibration that has been calculated in advance for each road surface state, the feature vector X.sub.i in each time window and the road-surface feature vector Y.sub.Aj are made to be vibration levels of frequency bands of 500 Hz or greater extracted from the time-series waveform in each time window.

A road surface condition assessing device includes a tire-side device disposed in a tire and a vehicle-body-side system disposed on a vehicle body side. The tire-side device generates a detection signal corresponding to a magnitude of vibration of the tire, produces road surface data based on the detection signal, and performs data communication with the vehicle-body-side system. The vehicle-body-side system performs the data communication with the tire-side device and assesses a road surface condition based on the road surface data received from the tire-side device.

A method of controlling braking when steering an in-wheel motor vehicle includes monitoring a required tire rotation angle for each steering angle and an actual tire rotation angle when performing cooperative control of an in-wheel motor for reducing a steering load, and generating a vehicle braking force in a case where the actual tire rotation angle exceeds the required tire rotation angle, thereby easily preventing a vehicle-skidding phenomenon.