The present invention relates to a method and device for estimating the road surface friction coefficient of a tire, which estimate the road surface friction coefficient of a tire mounted on a wheel of a vehicle in a state in which the vehicle is normally running at high speed. The method includes: acquiring the state information of a vehicle including at least one of engine state information, transmission state information, and chassis state information from sensors mounted on the vehicle and specifications set for the vehicle; estimating a longitudinal slip ratio, normal force, and longitudinal force for a tire mounted on each wheel of the vehicle by using the acquired state information of the vehicle; and estimating a road surface friction coefficient for the tire by using the estimated longitudinal slip ratio, normal force, and longitudinal force.

The present invention relates to a vehicle recovery system (1) for a vehicle having at least one driven wheel. The vehicle recovery system (1) is operable to self-recover the vehicle from terrain having a deformable surface affording insufficient traction at the at least one driven wheel to mobilise the vehicle. A recovery controller (2) is provided to maintain at least substantially continuous rotation of said at least one driven wheel at a target recovery speed or within a target recovery speed range to increase the available traction at each driven wheel. The present invention also relates to a vehicle having a vehicle recovery system (1).

A method for operating a speed control system of a vehicle is provided. The method comprises detecting an occurrence of a slip event, of a step encounter event, or of both events at a leading wheel of the vehicle. The method also comprises predicting that the occurrence of the detected event(s) will occur at a following wheel of the vehicle. The method yet further comprises automatically controlling vehicle speed, vehicle acceleration, or both vehicle speed and acceleration in response to the detection, the prediction, or both the detection and prediction. A speed control system comprising an electronic control unit (ECU) configured to perform the above-described methodology is also provided.

Systems and methods are provided herein for controlling the speed on each wheel of a vehicle, possibly operating a vehicle in a speed control mode. In response to receiving input to engage speed control mode and receiving an accelerator pedal input, the system determines a target wheel speed based on the accelerator pedal input, monitors wheel speed of each of a plurality of wheels and determines, for each monitored wheel, a difference based on the monitored wheel speed and the target wheel speed. A torque is provided to each of the plurality of wheels based on the respective difference to achieve the target wheel speed.

In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for performing vehicle control. A computing system determines a difference between a recent rate of change and a historical rate of change of a rotating vehicle shaft of a vehicle during a vehicle race. The computing system determines that the difference between the recent rate of change of the rotating vehicle shaft and the historical rate of change of the rotating vehicle shaft satisfies a criteria for limiting vehicle power, wherein the computing system changes the criteria for limiting vehicle power during the vehicle race. The computing system sends a signal for receipt by a vehicle component of the vehicle, to cause the vehicle component to limit rotation of the rotating vehicle shaft.

Methods and systems are provided for traction detection and control of a self-driving vehicle. The self-driving vehicle has drive motors that drive drive-wheels according to a drive-motor speed. Traction detection and control can be obtained by measuring the vehicle speed with a sensor such as a LiDAR or video camera, and measuring the wheel speed of the drive wheels with a sensor such as a rotary encoder. The difference between the measured vehicle speed and the measured wheel speeds can be used to determine if a loss of traction has occurred in any of the wheels. If a loss of traction is detected, then a recovery strategy can be selected from a list of recovery strategies in order to reduce the effects of the loss of traction.

Embodiments described herein provide a method for using one or more audio signals from one or more sensors to establish the presence and severity of precipitation at a particular location. Methods may include: receiving at least one first audio signal from a first audio sensor of a vehicle; extracting acoustical features including frequency and amplitude from the at least one first audio signal; receiving at least one second audio signal from a second audio sensor of the vehicle; extracting acoustical features including frequency and amplitude from the at least one second audio signal; processing the frequency and amplitude from the at least one first audio signal and the frequency and amplitude from the at least one second audio signal as inputs to an algorithm to generate an output from the algorithm; and determining, from the output of the algorithm, a precipitation condition and a confidence measure of the precipitation condition.

A traction control method for a vehicle provided with a torque vectoring apparatus including a torque vectoring motor includes determining, by first and second controllers, whether a current situation is a split-? situation occurring when the vehicle is driven on a split road surface, based on vehicle driving information collected in the vehicle, determining and creating, by the second controller, a target speed for control of a slip wheel speed when both controllers determine the split-? situation, and transmitting the target speed from the second controller to the first controller, generating, by the first controller, a torque command for the torque vectoring motor for slip wheel speed control to follow the target speed received from the second controller, and controlling, by the first controller, operation of the torque vectoring motor in accordance with the torque command.

A vehicle control system includes a speed control system which is configured automatically to attempt to cause a vehicle to operate in accordance with a target speed value by causing a first vehicle speed value determined according to a first predetermined method to become or be maintained substantially equal to the predetermined target speed value at least in part by causing application of positive drive torque to one or more wheels by means of a powertrain. The speed control system is configured to impose a constraint on the amount of driving torque that may be demanded of the powertrain in dependence on the target speed value and a second vehicle speed value determined according to a second predetermined method. The second predetermined method is based on the mean speed of the driven wheels of the vehicle.

An electrical passenger car, the electrical passenger car including: at least two electrically driven motors; a battery pack; motor control electronics, where the motor control electronics are connected to the at least two electrically driven motors; wheels, where the wheels are connected to the at least two electrically driven motors; and sensors, where the sensors are connected to at least the motor control electronics, where the wheels include a first wheel and a second wheel, where the second wheel has a radius at least 7% greater than a radius of the first wheel, where the battery pack is mounted in the car frame such that the battery pack could be moved forward or backward, and where the electrical passenger car is designed to be driven on a paved road.