A computer implemented method for controlling at least one driven and/or braked wheel of a heavy-duty vehicle. The method includes obtaining a motion request indicative of a desired longitudinal acceleration and/or longitudinal force associated with the vehicle, and configuring a wheel slip limit value indicative of a maximum allowable wheel slip by the at least one driven and/or braked wheel at a nominal value, and increasing the wheel slip limit value from the nominal value to a boost wheel slip value in response to detecting a boost signal, as well as controlling the at least one driven and/or braked wheel in dependence of the motion request and subject to the wheel slip limit value.

A method for estimating a friction between a road surface and a tire of a steered wheel of a vehicle. The steered wheel being fit with dynamic steering. The vehicle includes a steering wheel and a set of sensors comprising wheel end sensors and steering wheel sensors configured to measure signals corresponding to a set of parameters., The steering wheel parameters comprising at least a steering wheel torque and a steering wheel angle. The method comprising the following steps implemented by the electronic control unit collect the signals, corresponding to the set of parameters, measured by the sensors during a period of time; process, by the signal processing module, the signals collected to provide processed signal data provide the processed signal data as input to the wheel end friction estimation model, the wheel end friction estimation model being configured to output a friction estimation of the friction between the road surface and the tire of the wheel.

The disclosure is directed to a method for slip control of a vehicle wheel driven via an electric drive. The method including at least the following steps: driving the electric drive of the vehicle wheel using an actual drive torque in a torque control in a torque control step, determining a wheel speed and a wheel slip of the vehicle wheel and evaluating the wheel slip by way of an instability criterion as to whether an instability exists, upon recognizing an instability, direct or indirect transition in a slip control of the wheel slip to a setpoint slip by driving the electric drive, determining whether an end criterion for ending the slip control is satisfied; and, if the end criterion is satisfied, returning to the torque control in the torque control step.

A rotation restriction control device comprises a selection unit that selects a rotation restriction state, on the basis of a road surface when parking a vehicle traveling on the road surface, and a control unit that controls a rotation restriction state of a restriction mechanism in accordance with a selection result from the selection unit when parking the vehicle.

The disclosure relates to a method for controlling a vehicle braking system on the basis of vehicle-specific data, wherein the vehicle braking system comprises individually actuatable brakes. In the method, a braking operation is detected, a status condition is queried during a temporal observation window, and a yaw variable present and a physical characterizing variable present at the same time are detected. Subsequently, the detected yaw variable is stored and the yaw variable is assigned to a data set. This is repeated in order to create a database. Further, a corrective braking force is determined and the braking force of a brake is automatically adjusted depending on the corrective braking force to reduce the yaw variable. The disclosure also relates to an apparatus for compensating a yaw moment acting on a vehicle.

An integrated control system for a vehicle is provided. The system includes a friction coefficient calculation unit that calculates friction coefficients of left side and right side road surfaces, respectively, based on vehicle wheel state information and a predetermined setting information collected during ABS operation. A feedforward braking pressure calculation unit calculates a feedforward braking pressure of each vehicle wheel using the friction coefficients. An ABS braking pressure calculation unit calculates an ABS braking pressure of the each vehicle wheel based on the feedforward braking pressure and slip rate information. A rear wheel steering control amount calculation unit calculates a rear wheel steering control amount for yaw compensation using the ABS braking pressure of each vehicle wheel and a rear wheel steering controller executes a rear wheel steering control according to the rear wheel steering control amount.

A method of reconstructing a detected faulty signal. A pitch sensor fault is detected by a processor. A signal of the detected faulty pitch sensor is reconstructed using indirect sensor data. The reconstructed signal is output to a controller to maintain stability.

A method of reconstructing a detected faulty signal. A pitch sensor fault is detected by a processor. A signal of the detected faulty pitch sensor is reconstructed using indirect sensor data. The reconstructed signal is output to a controller to maintain stability.

A method is for determining a side slip angle during the cornering of a vehicle. The following variables are recorded and interlinked via a mathematical vehicle model with assumptions of the linear single-track model: a predetermined or measured position of the center of gravity between a front and rear axle, the current vehicle velocity, a current vehicle cornering motion variable, the current steering angle on the front axle. To simplify the determination of the side slip angle, it is determined under the assumption that the difference between the side slip angle and the Ackermann side slip angle is proportional to the difference between the Ackermann angle and the steering angle. The actual side slip angle is deduced from the relationship of the measured steering angle and the Ackermann angle based on the proportionality relationship of the Ackermann side slip angle theoretically present when driving through the same curve without slip.

The present invention relates to a method for estimating the side slip angle (β.sup.stim) of a four-wheeled vehicle, comprising: —detecting signals representing the vehicle longitudinal acceleration (Ax), lateral acceleration (Ay), vertical acceleration (Az), yaw rate (formula I), roll rate (formula II), wheels speeds (V.sub.FL, V.sub.FR, V.sub.RL, V.sub.RR); —pre-treating (1) said signals in order to correct measurement errors and/or noises, so to obtain corrected measurements of at least the longitudinal acceleration (a.sub.x), the lateral acceleration (a.sub.y), the yaw rate (formula I) and the wheels speeds (ν.sub.FL, ν.sub.FR, ν.sub.RL, ν.sub.RR), —determining (2) an estimated vehicle longitudinal speed (V.sub.x.sup.stim) on the basis of at least one of the corrected measurements of the wheel speeds (ν.sub.FL, ν.sub.FR, ν.sub.RL, ν.sub.RR); —determining a yaw acceleration (formula III) from the signal representing the yaw rate (formula I); —solving (25) a time-depending parametrical non-linear filter, such as a Kalman filter or a Luenberger filter, describing the vehicle longitudinal and lateral speeds (formula IV) and longitudinal and lateral accelerations (formula V) as a function of the corrected measurements of the longitudinal acceleration (a.sub.x), of the lateral acceleration (a.sub.y), of the yaw rate (formula I) and the estimated vehicle longitudinal speed (V.sub.x.sup.stim) and of a filter parameter (F) depending from depending from at least one of the vehicle yaw acceleration (formula III), yaw rate (formula I) and lateral acceleration (ay) which adds a negative component to the lateral acceleration (formula VI) determined by the filter itself, said filter parameter (F) being selected such that said negative component reaches a maximum value when it is determined that the vehicle is moving straight on the basis of said at least one of the vehicle yaw acceleration (formula III), yaw rate (formula I) and lateral acceleration (ay); —determining the vehicle estimated side slip angle (β.sup.stim) from said longitudinal and lateral vehicle speeds (formula IV) determined by solving the non-linear filter. The present invention further relates to a computer program implementing said method, a control unit having said computer program loaded, and a vehicle comprising said control unit.