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.

System, methods, and other embodiments described herein relate to emulating vehicle dynamics. In one embodiment, a method for emulating vehicle dynamics in a vehicle having a plurality of wheels and equipped with all-wheel steering, includes receiving emulation settings that indicate one or more environment parameters and/or vehicle parameters, detecting driver inputs including at least steering input and throttle input, executing a simulation model that receives the driver inputs and emulation settings, simulates the vehicle operating based on the driver inputs and the emulation settings, and outputs one or more simulated states of the vehicle based on the simulated operation of the vehicle, determining one or more actuation commands for each wheel of the vehicle to cause the vehicle to emulate the one or more simulated states, and executing the one or more actuation commands, wherein the actuation commands include at least wheel angle commands and torque commands.

The present disclosure relates to a powertrain controller (3) for controlling a torque distribution between a front axle (4) and a rear axle (5) of a vehicle (1). The powertrain controller (3) includes a processor (8) and a memory device (9). The processor (8) is configured selectively to implement first and second torque distribution profiles (TDP1, TDP2) defining the torque distribution between the front axle (4) and the rear axle (5). The processor (8) determines when one or more vehicle dynamics parameter (VDPn) is within one or more predefined stability margin (VSMn) and when the one or more vehicle dynamics parameter (VDPn) is outside the one or more predefined stability margin (VSMn). A torque request signal (STQR) is monitored to identify a change in a torque request (TQR). The first torque distribution profile (TDP1) is implemented when the one or more vehicle dynamics parameter (VDPn) is within the one or more predefined stability margin (VSMn). The second torque distribution profile (TDP2) is implemented when the one or more vehicle dynamics parameter (VDPn) is outside the one or more predefined stability margin (VSMn) and the identified change in the torque request (TQR) comprises a decrease in the torque request (TQR). The present disclosure also relates to a vehicle including a powertrain controller (3); a method of controlling a torque distribution between the front and rear axles (4, 5) of a vehicle (1); and a non-transitory computer-readable medium.

The present invention relates to a method for collision avoidance for a host vehicle, the method comprising: detecting a target in the vicinity of the vehicle; determining that the host vehicle is travelling on a collision course with the target; detecting a user initiated steering action for steering the vehicle towards one side of the target; determining a degree of understeering of the host vehicle; when the degree of understeering exceeds a first understeering threshold, controlling a steering control system of the vehicle to counteract the user initiated steering action to thereby reduce the degree of understeering. The invention further relates to an evasive steering system.

The present disclosure discloses an electric vehicle, an active safety control system of an electric vehicle, and a control method of the active safety control system of an electric vehicle. The electric vehicle includes: multiple wheels, multiple motors, a wheel speed detection module, a steering wheel rotation angle sensor, a yaw rate sensor, and a battery pack. The active safety control system includes: an acquisition module, acquiring the wheel speed signal, the direction information, the yaw information, status information of the battery pack, and status information of the multiple motors; a status determining module, determining status of the electric vehicle; and a control module, generating a control instruction and delivering the control instruction to at least one motor.

A control device for a land vehicle is described. The control device is set up to control at least one actuator of the land vehicle on the basis of an avoidance trajectory calculated by the control device in order to support a driver of the land vehicle during an evasive maneuver. The control device is also set up to receive sensor signals of at least one sensor; to generate an environmental model from the received sensor signals; to determine the position of an object relative to a current position of the land vehicle in the generated environmental model; and to calculate a preliminary avoidance trajectory. In the calculation of the preliminary avoidance trajectory, the current position of the land vehicle in the generated environmental model constitutes the starting point of the preliminary avoidance trajectory. A preliminary end point of the preliminary avoidance trajectory is determined on the basis of the determined position of the object. To determine the parameters of the preliminary avoidance trajectory, at least the coordinates of the starting point and of the preliminary end point are used.

A method for stabilizing a vehicle (100) in which the vehicle (100) has a roll stabilizer (120), which is designed to stabilize a first axle (101) and a second axle (102) as a function of a roll torque distribution between the first axle (101) and the second axle (102). The method comprises a step of determining a sideslip angle index from a difference between a transverse acceleration calculated from a yaw rate of the vehicle (100) and a speed of the vehicle (100), and a detected transverse acceleration of the vehicle (100). The sideslip angle index is related to a sideslip angle of the vehicle (100). The method also comprises a step of generating a control signal (160) using the sideslip angle index. The control signal (160) is suitable for adjusting the roll torque distribution of the roll stabilizer (120) as a function of the determined sideslip angle index.

A method for detecting a situation of loss of grip of a vehicle provided with a steering system operated by a steering wheel, said method being in that it comprises a step (a) of evaluating a first indicator of loss of grip (P1) comprising calculating, as the first indicator of loss of grip (P1), the partial derivative

[00001]$\left(P.Math..Math.1=\frac{\partial \stackrel{.}{\psi }}{\partial \alpha }\right),$

relative to a variable (α) representative of the angular position of the steering wheel, of a driving parameter which is representative of the yaw rate ({dot over (ψ)}) of the vehicle.

A system for lateral control in-path tracking of an autonomous vehicle includes a lateral controller. The lateral controller controls movement of the autonomous vehicle relative to a path and receives as an input a desired target. An outer control loop of the lateral controller includes a first controller generating an output based on the difference between the desired target and a current position of the autonomous vehicle. An inner control loop of the lateral controller includes a second controller receiving the generated output from the first controller. The inner control loop generates a sideslip angle and a yaw rate, wherein the sideslip angle and the yaw rate are returned to the second controller. The sideslip angle and the yaw rate are used to generate the relative yaw angle and lateral distance, which are returned to the first controller as the current position of the autonomous vehicle.