Abstract: A tire (100) rolls on a surface (105). A method (600) for providing maximum traction coefficient between the tire (100) and the surface (105) include steps for detecting a momentary slip of the tire (100) on the surface (105); detecting a momentary traction coefficient; forming a tuple (410, 510) from the slip and the current traction coefficient; choosing a characteristic curve (205, 305) from a number of predetermined characteristic curves (205, 305) on the basis of the tuple (410, 510), whereby each characteristic curve (205, 305) describes a traction behavior of the tire (100) or a corresponding characteristic pitch; determining the maximum traction coefficient on the basis of the selected characteristic curves (205, 305); and thus providing the maximum traction coefficient.

Abstract: A method for estimating a probability distribution of the maximum coefficient of friction (?) at a current and/or future waypoint (s, s*) of a vehicle. According to the method, a first probability distribution (WV1) for the maximum coefficient of friction (?) at the waypoint (s) of the vehicle is determined by a Bayesian network from a first data set, which is, or was determined, for one, in particular current, waypoint (s) of the vehicle and which characterizes the maximum coefficient of friction (?) at the waypoint (s) of the vehicle.

Abstract: A tire (100) rolls on a surface (105). A method (600) for providing maximum traction coefficient between the tire (100) and the surface (105) include steps for detecting a momentary slip of the tire (100) on the surface (105); detecting a momentary traction coefficient; forming a tuple (410, 510) from the slip and the current traction coefficient; choosing a characteristic curve (205, 305) from a number of predetermined characteristic curves (205, 305) on the basis of the tuple (410, 510), whereby each characteristic curve (205, 305) describes a traction behavior of the tire (100) or a corresponding characteristic pitch; determining the maximum traction coefficient on the basis of the selected characteristic curves (205, 305); and thus providing the maximum traction coefficient.

Abstract: A method for estimating a probability distribution of the maximum coefficient of friction (?) at a current and/or future waypoint (s, s*) of a vehicle. According to the method, a first probability distribution (WV1) for the maximum coefficient of friction (?) at the waypoint (s) of the vehicle is determined by a Bayesian network from a first data set, which is, or was determined, for one, in particular current, waypoint (s) of the vehicle and which characterizes the maximum coefficient of friction (?) at the waypoint (s) of the vehicle.

Abstract: A method (100) of determining driving state variables of a motor vehicle (105) includes scanning an input vector (u) of signals, which influence the driving state of the motor vehicle (105); scanning a first output vector (y) of variables, which describe the driving state of the motor vehicle (105); determining a second output vector (?) of variables that describe the driving state of the motor vehicle (105) based on the input vector (u), a weighting vector (r) and a state vector ({circumflex over (x)}); and adapting the weighting vector based on the difference between the two output vectors (y, ?). In doing so, the observer includes a Kalman filter.

Abstract: A method for determining a maximum adhesion limit between a tire and a substrate on which the tire is running in a longitudinal direction. The method includes detecting an instantaneous slip of the tire; detecting an instantaneous longitudinal force on the tire; determining an instantaneous coefficient of adhesion; forming a tuple from the detected slip and determined instantaneous coefficient of adhesion; and determining the adhesion limit. The adhesion limit is determined on the basis of the slope of a straight line passing through the origin and the tuple, if the slip is less than a first threshold value, or on the basis of the slope of a tangent passing through the tuple, if the slip is between the first threshold value and a second threshold value, or directly on the basis of the instantaneous coefficient of adhesion, if the slip is greater than the second threshold value.

Abstract: A method for determining a safe speed (v*) at a future waypoint (s*) of a vehicle moving along a route. In this step, at least one item of route data (in particular the curvature of the curve ?) characterizing the course of the route is determined. In addition, a first probability distribution (Pges) of a coefficient of friction (?) is provided at the current waypoint (s) and/or at the future waypoint (s*) of the vehicle. Subsequently a second probability distribution (Pv) of a vehicle speed (v) at the future waypoint (s*) is determined from the at least one item of route data (?) and from the first probability distribution (Pges). The safe speed (v*) is determined by statistical analysis from the second probability distribution (Pv).

Abstract: A method for actuating a continuously variable clutch such that the torque to be transmitted by the clutch is continuously adjusted either electromechanically via an electromotive drive, hydraulically via a pressure actuator, or electromagnetically via an electromagnetic actuator. The torque transmitted by the clutch is adjusted by utilizing a position-dependent clutch torque specification.

Abstract: A method for actuating a continuously variable clutch such that the torque to be transmitted by the clutch is continuously adjusted either electromechanically via an electromotive drive, hydraulically via a pressure actuator, or electromagnetically via an electromagnetic actuator. The torque transmitted by the clutch is adjusted by utilizing a position-dependent clutch torque specification.