Abstract: A method of controlling stability of a vehicle and a stability control system for the vehicle. A driver command is determined based on driver input data. At least one output command is sent to one or more vehicle systems to control stability of the vehicle based on the driver command. A controller sends the output command based on a control hierarchy that provides an order in which the controller controls body motion of the vehicle, wheel slip of the vehicle, and standard stability of the vehicle to control stability of the vehicle. The order dictates that the controller controls the body motion of the vehicle and the wheel slip of the vehicle before the controller controls the standard stability of the vehicle. A state of one or more of the vehicle systems is controlled based on the sent output command as dictated via the control hierarchy.

Abstract: A vehicle, system and method of operating the vehicle. A sensor measures a dynamic parameter of the vehicle. A processor determines a lateral force on a first tire based on the dynamic parameter of the vehicle, determines a longitudinal force on the first tire that achieves a maximal grip of the first tire for the lateral force, and adjusts a first torque on the first tire in order to achieve the determined longitudinal force at the first tire.

Abstract: The concepts described herein relate to a calculation of desired future longitudinal horizons related to torque or acceleration, and desired future lateral horizons related to yaw rate and lateral velocity, and their use in response to driver-selectable modes. In the longitudinal direction, driver inputs of pedal and brake position as well as drivability metrics are used to calculate the desired future torque trajectory. In the lateral direction, the front and rear steering angles may be used with a bicycle model to derive the trajectories. The trajectories are used in a vehicle motion controller that uses weighting to tradeoff competing requests and deliver performance that is consistent with a selected driver mode, such as a tour mode, a sport mode, an off-road mode, a trailering mode, etc.

Abstract: Systems and methods are provided for generating a downforce on a vehicle. An aerodynamic deflector on the vehicle is repositionable. An actuator is coupled with the aerodynamic deflector. A controller configured to: detect a performance mode of operation of the vehicle; determine a requested lateral acceleration; calculate a control adjustment of the aerodynamic deflector to generate a downforce to achieve the requested lateral acceleration and maximize lateral grip of the vehicle; and operate the actuator to effect the control adjustment of the aerodynamic deflector to generate the downforce on the vehicle.

Abstract: A traction control module includes a sensor/estimation module configured to output wheel stability data based on a plurality of wheel condition inputs and a wheel stability monitoring module configured to calculate a plurality of wheel stability predictors based on the wheel stability data. Each of the wheel stability predictors is independently indicative of a wheel slip condition. The traction control module further includes a wheel stability data fusion module configured to receive each of the plurality of wheel stability predictors, combine selected wheel stability predictors from the plurality of wheel stability predictors to generate combinations of the wheel stability predictors, and selectively output a torque reduction request based on the combinations of the wheel stability predictors.

Abstract: A tire radius monitoring system for dynamically determining a tire effective radius for each of the wheels on a vehicle is described. The system includes a GPS sensor, a plurality of wheel speed sensors, and a controller. The controller determines, via the GPS sensor, a velocity vector related to longitudinal velocity of the vehicle. The controller determines wheel speeds for the plurality of vehicle wheels, and detects a no-wheel-slip state for the vehicle wheels and the velocity vector from the GPS sensor. The controller determines tire effective radii for the plurality of vehicle wheels based upon the velocity vector for the vehicle and the wheel speeds for the plurality of vehicle wheels during the no-wheel-slip state, and controls vehicle operation based upon the tire effective radii.

Abstract: A vehicle including a Global Positioning System (GPS) sensor, an Inertial Measurement Unit (IMU), and an Advanced Driver Assistance System (ADAS) is described. Operating the vehicle includes determining, via the GPS sensor, first parameters associated with a velocity, a position, and a course, and determining, via the IMU, second parameters associated with acceleration and angular velocity. Roll and pitch parameters are determined based upon the first and second parameters. A first vehicle velocity vector is determined based upon the roll and pitch parameters, the first parameters, and the second parameters; and a second vehicle velocity vector is determined based upon the roll and pitch parameters, road surface friction coefficient, angular velocity, road wheel angles and the first vehicle velocity vector. A final vehicle velocity vector is determined based upon fusion of the first and second vehicle velocity vectors. The vehicle is controlled based upon the final vehicle velocity vector.

Abstract: An axle torque distribution system includes a memory and a control module. The memory stores a steering angle and a toque distribution algorithm. The control module executes the torque distribution algorithm to: obtain the steering angle; based on the steering angle, determine total lateral force requested for axles of a vehicle; based on the total lateral force requested, determine lateral forces requested for the axles while constraining lateral force distribution between the axles, where the constraining of the lateral force distribution includes, based on maximum lateral force capacities of tires of the vehicle, limiting the lateral forces requested for the axles; determine available longitudinal capacities for the axles based on the lateral forces requested respectively for the axles; determine torque capacities of the axles based on the lateral forces requested respectively for the axles; and control distribution of torque to the axles based on the torque capacities of the axles.

Abstract: A vehicle including a Global Positioning System (GPS) sensor, an Inertial Measurement Unit (IMU), and an Advanced Driver Assistance System (ADAS) is described. Operating the vehicle includes determining, via the GPS sensor, first parameters associated with a velocity, a position, and a course, and determining, via the IMU, second parameters associated with acceleration and angular velocity. Roll and pitch parameters are determined based upon the first and second parameters. A first vehicle velocity vector is determined based upon the roll and pitch parameters, the first parameters, and the second parameters; and a second vehicle velocity vector is determined based upon the roll and pitch parameters, road surface friction coefficient, angular velocity, road wheel angles and the first vehicle velocity vector. A final vehicle velocity vector is determined based upon fusion of the first and second vehicle velocity vectors. The vehicle is controlled based upon the final vehicle velocity vector.

Abstract: A vehicle, system and method of operating a vehicle. A sensor for measures a dynamic variable of the vehicle. A processor determines a location of a perceived yaw center (PYC) of the vehicle from the dynamic variable, tracks a desired location of the PYC, and adjusts a control parameter of the vehicle to reduce a difference between the location of the PYC and the desired location of the PYC.

Abstract: A method and system of controlling a vehicle includes providing a plurality of dynamic state inputs to a controller in the vehicle that is adapted to execute a plurality of control loops and further includes determining an operating mode of the vehicle. Based on the operating mode of the vehicle, a location of an optimum perceived yaw center of the vehicle is determined corresponding to a selected estimation technique using the dynamic state inputs and wherein the estimation technique is selected based upon the determined operating mode of the vehicle. The information related to the location of the optimum perceived yaw center may be used as input for controlling the vehicle in a dynamic state.

Abstract: A vehicle, system and method of operating the vehicle. A sensor measures a dynamic parameter of the vehicle. A processor determines a lateral force on a first tire based on the dynamic parameter of the vehicle, determines a longitudinal force on the first tire that achieves a maximal grip of the first tire for the lateral force, and adjusts a first torque on the first tire in order to achieve the determined longitudinal force at the first tire.

Abstract: A vehicle, system and method of operating a vehicle. A sensor for measures a dynamic variable of the vehicle. A processor determines a location of a perceived yaw center (PYC) of the vehicle from the dynamic variable, tracks a desired location of the PYC, and adjusts a control parameter of the vehicle to reduce a difference between the location of the PYC and the desired location of the PYC.

Abstract: A method of controlling stability of a vehicle and a stability control system for the vehicle. A driver command is determined based on driver input data. At least one output command is sent to one or more vehicle systems to control stability of the vehicle based on the driver command. A controller sends the output command based on a control hierarchy that provides an order in which the controller controls body motion of the vehicle, wheel slip of the vehicle, and standard stability of the vehicle to control stability of the vehicle. The order dictates that the controller controls the body motion of the vehicle and the wheel slip of the vehicle before the controller controls the standard stability of the vehicle. A state of one or more of the vehicle systems is controlled based on the sent output command as dictated via the control hierarchy.

Abstract: Methods of controlling axle torque distribution of a vehicle during steering through a curve include collecting, via a controller: input data which is representative of a plurality of vehicle inputs; vehicle data which is representative of axle torque of the front axle and axle torque of the rear axle; and constraint data which is representative of real-time constraints of the vehicle. The collected input data, vehicle data and constraint data are communicated to a predictive model. Determining, using the predictive model, whether torque adjustments are necessary. The distribution of the axle torque of the front axle and the axle torque of the rear axle is controlled, via the controller, when the torque adjustments are necessary as determined via the predictive model.

Abstract: A method for estimation of a vehicle tire force includes: receiving, by a controller of a vehicle, a measured vehicle acceleration of the vehicle; receiving, by the controller, a measured wheel speed and a measured yaw rate of the vehicle; forming, by the controller, inertia matrices based on an inertia of rotating components of the vehicle; calculating torques at corners of the vehicle using the inertia matrices; estimating tire forces of the vehicle based on the measured vehicle acceleration, the measured wheel speed, and the inertia matrices; and controlling, by the controller, the vehicle, based on the plurality of estimated longitudinal and lateral tire forces.

Abstract: A method and system of controlling a vehicle includes providing a plurality of dynamic state inputs to a controller in the vehicle that is adapted to execute a plurality of control loops and further includes determining an operating mode of the vehicle. Based on the operating mode of the vehicle, a location of an optimum perceived yaw center of the vehicle is determined corresponding to a selected estimation technique using the dynamic state inputs and wherein the estimation technique is selected based upon the determined operating mode of the vehicle. The information related to the location of the optimum perceived yaw center may be used as input for controlling the vehicle in a dynamic state.

Abstract: A vehicle, and a method and system for operating the vehicle. The system includes a processor. The processor receives a driver input at the vehicle, determines a current lateral force on a tire of the vehicle for the driver input, determines a desired yaw rate and lateral velocity for the vehicle based on the current lateral force on the tire that operates the vehicle at a maximum yaw moment, and operates the vehicle at the desired yaw rate and lateral velocity.

Abstract: The present application generally relates to a method and apparatus for generating an action policy for controlling an autonomous vehicle. In particular, the method and apparatus include a memory operative to store a map data, a sensor operative to provide a location, a yaw rate sensor operative to measure a yaw rate, a processor for receiving the yaw rate, and a processor for determining a yaw rate calibration bias in response to the yaw rate, the location, and the map data, and a vehicle controller for controlling a vehicle in response to the yaw rate calibration bias.

Abstract: Methods of controlling axle torque distribution of a vehicle during steering through a curve include collecting, via a controller: input data which is representative of a plurality of vehicle inputs; vehicle data which is representative of axle torque of the front axle and axle torque of the rear axle; and constraint data which is representative of real-time constraints of the vehicle. The collected input data, vehicle data and constraint data are communicated to a predictive model. Determining, using the predictive model, whether torque adjustments are necessary. The distribution of the axle torque of the front axle and the axle torque of the rear axle is controlled, via the controller, when the torque adjustments are necessary as determined via the predictive model.