A system for managing chassis and driveline actuators of a motor vehicle includes a control module executing program code portions that: cause sensors to obtain vehicle state information, receive a driver input and generate a desired dynamic output based on the driver input and the vehicle state information, and then estimate actuator actions based on the vehicle state information, generate one or more control action constraints based on the vehicle state information and estimated actuator actions, generate a reference control action based on the vehicle state information, the estimated actions of the one or more actuators and the control action constraints, and integrate the vehicle state information, the estimated actuator actions, desired dynamic output, reference control action and the control action constraints to generate an optimal control action that falls within a range of predefined actuator capacities and ensures driver control of the vehicle.

A system for adaptive tire force prediction in a motor vehicle includes a control module that executes program code portions that receive real-time static and dynamic data from motor vehicle sensors, that model forces at each tire of the motor vehicle at one or more incremental time steps, that estimate actual forces at each tire of the motor vehicle at each of the one or more incremental time steps, that adaptively predict tire forces at each tire of the motor vehicle at each of the one or more incremental time steps, that generate one or more control commands for actuators of the motor vehicle, that capture discrepancies between real-time force estimations and nominal force calculations at each tire of the motor vehicle, and that apply compensation parameters to reduce tracking errors in the one or more control commands to the one or more actuators of the motor vehicle.

A system for adaptive tire force prediction in a motor vehicle includes a control module that executes program code portions that receive real-time static and dynamic data from motor vehicle sensors, that model forces at each tire of the motor vehicle at one or more incremental time steps, that estimate actual forces at each tire of the motor vehicle at each of the one or more incremental time steps, that adaptively predict tire forces at each tire of the motor vehicle at each of the one or more incremental time steps, that generate one or more control commands for actuators of the motor vehicle, that capture discrepancies between real-time force estimations and nominal force calculations at each tire of the motor vehicle, and that apply compensation parameters to reduce tracking errors in the one or more control commands to the one or more actuators of the motor vehicle.

Systems and methods are provided for predicting a vehicle's motion. It is determined that speed of the vehicle is below a threshold speed. A derated tire cornering stiffness value that is less than a nominal cornering stiffness value is obtained. The vehicle's motion is predicted based on a dynamic model using the derated tire corning stiffness value.

Systems and methods are provided for predicting a vehicle's motion. It is determined that speed of the vehicle is below a threshold speed. A derated tire cornering stiffness value that is less than a nominal cornering stiffness value is obtained. The vehicle's motion is predicted based on a dynamic model using the derated tire corning stiffness value.

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.

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.

A method for setting a heavy duty vehicle in motion. The method includes obtaining a motion instruction for setting the vehicle in motion, determining a target wheel slip value corresponding to a wheel slip suitable for executing to the motion instruction, and controlling wheel speed to maintain wheel slip of the vehicle at the target wheel slip value.

A method for setting a heavy duty vehicle in motion. The method includes obtaining a motion instruction for setting the vehicle in motion, determining a target wheel slip value corresponding to a wheel slip suitable for executing to the motion instruction, and controlling wheel speed to maintain wheel slip of the vehicle at the target wheel slip value.

A method for controlling movement of an autonomous vehicle includes: estimating a set of tire force margins with respect to each wheel of the vehicle and a set of dynamic chassis margins associated with a chassis module of the vehicle; based on the margins, determining whether the vehicle is capable of moving in accordance with a decision command; when the determination is negative, outputting a request for update of the decision command; and when an updated decision command has not been received, calculating a set of marginal actuating signals based on the decision command, the margins, required slip angles respectively for the wheels and a center of percussion of the vehicle so as to make the autonomous vehicle move accordingly.