Abstract:
A method for estimating the normal force at a wheel of a vehicle and the vertical acceleration of the vehicle that has particular application for ride and stability control of the vehicle. The method includes obtaining a suspension displacement value from at least one of a plurality of suspension displacement sensors mounted on the vehicle and estimating a spring force acting on a spring of a suspension element of the vehicle, a damper force acting on a damper of the suspension element of the vehicle, and a force acting at a center of a wheel. The method further includes determining a normal force at the wheel of the vehicle and a vertical acceleration of the vehicle based on the spring force, the damper force and the force at the center of the wheel of the vehicle.
Abstract:
A system and method for estimating vehicle lateral velocity that defines a relationship between front and rear axle lateral forces and front and rear axle side-slip angles. The method includes providing measurements of vehicle yaw-rate, lateral acceleration, longitudinal speed, and steering angle. The method also includes using these measurements to provide a measurement of the front and rear axle forces. The method calculates a front axle lateral velocity and a rear axle lateral velocity, and calculates a front axle side-slip angle based on the rear axle lateral velocity and a rear axle side-slip angle based on the front axle lateral velocity. The method then estimates front and rear axle forces, and selects a virtual lateral velocity that minimizes an error between the estimated and measured lateral axle forces. The method then provides an estimated vehicle lateral velocity using the selected virtual lateral velocity.
Abstract:
A method to control a vehicle includes monitoring desired vehicle force and moment, monitoring real-time corner constraints upon vehicle dynamics which includes monitoring corner states of health for the vehicle, and monitoring corner capacities for the vehicle. The method further includes determining a desired corner force and moment distribution based upon the desired vehicle force and moment and the real-time corner constraints, and controlling the vehicle based upon the desired corner force and moment distribution.
Abstract:
A system and method for estimating vehicle lateral velocity and surface coefficient of friction using front and rear axle lateral force versus side-slip angle tables and sensor measurements. The sensor measurements include lateral acceleration, yaw-rate, longitudinal speed and steering angle of the vehicle. The method includes calculating front and rear axle lateral forces and front and rear side-slip angles on the axles of the vehicle. The method also includes identifying two equations from the calculated lateral forces and the vehicle measurements. The method provides tables that identify a relationship between the calculated front and rear axle lateral forces and the front and rear side-slip angles, and determines the vehicle lateral velocity and surface coefficient of friction from the tables.
Abstract:
A system and method for estimating vehicle lateral velocity that defines a relationship between front and rear axle lateral forces and front and rear axle side-slip angles. The method includes providing measurements of vehicle yaw-rate, lateral acceleration, longitudinal speed, and steering angle. The method also includes using these measurements to provide a measurement of the front and rear axle forces. The method calculates a front axle lateral velocity and a rear axle lateral velocity, and calculates a front axle side-slip angle based on the rear axle lateral velocity and a rear axle side-slip angle based on the front axle lateral velocity. The method then estimates front and rear axle forces, and selects a virtual lateral velocity that minimizes an error between the estimated and measured lateral axle forces. The method then provides an estimated vehicle lateral velocity using the selected virtual lateral velocity.
Abstract:
A system and method for controlling a vehicle engine during one or more performance driving events, such as a performance takeoff, shifting or cornering event. The engine control system may be used to maintain stability when the vehicle is being driven in a competitive or aggressive fashion by temporarily controlling the vehicle engine through the manipulation of engine torque, engine speed or some other means. If the engine control system receives competing command signals from different vehicle subsystems, then the system may arbitrate or otherwise manage the competing command signals so that different subsystems can function together properly. In one embodiment, the engine control system blends the commands signals from two or more subsystems.
Abstract:
A system and method is provided for determining a lateral velocity and a longitudinal velocity of a vehicle equipped. The vehicle includes only one antenna for a GPS receiver and a magnetic compass. A magnitude of a velocity vector of the vehicle is determined. A course angle with respect to a fixed reference using the single antenna GPS receiver is determined. A yaw angle of the vehicle is measured with respect to the fixed reference using a magnetic compass. A side slip angle is calculated as a function of the course angle and the yaw angle. The lateral velocity and longitudinal velocity is determined as a function of the magnitude of the velocity vector and the side slip angle.
Abstract:
A method of stabilizing a vehicle is provided. The vehicle is travelling at a forward speed and a lateral speed, and comprises a lateral acceleration sensor, a yaw sensor adapted to detect an actual yaw rate of the vehicle around a central axis, a steering mechanism adapted to steer the vehicle by a steered yaw rate, and an electronic stability control system. The method comprises determining the forward speed of the vehicle with the electronic stability control system, determining a yaw error rate based upon a difference between the actual yaw rate of the vehicle and the steered yaw rate, determining the vehicle is in an unstable condition by comparing the yaw error rate to a first predetermined yaw rate, computing a calculated lateral speed based on acceleration data from the lateral acceleration sensor, the forward speed, and the actual yaw rate in response to determining the vehicle is in the unstable condition, calculating a correction factor based on the calculated lateral speed of the vehicle and the forward speed of the vehicle, and adjusting operation of the electronic stability control system by the correction factor.
Abstract:
A method for estimating the normal force at a wheel of a vehicle and the vertical acceleration of the vehicle that has particular application for ride and stability control of the vehicle. The method includes obtaining a suspension displacement value from at least one of a plurality of suspension displacement sensors mounted on the vehicle and estimating a spring force acting on a spring of a suspension element of the vehicle, a damper force acting on a damper of the suspension element of the vehicle, and a force acting at a center of a wheel. The method further includes determining a normal force at the wheel of the vehicle and a vertical acceleration of the vehicle based on the spring force, the damper force and the force at the center of the wheel of the vehicle.
Abstract:
A system and method for estimating surface coefficient of friction in a vehicle system. The method includes providing a kinematics relationship between vehicle yaw-rate, vehicle speed, vehicle steering angle and vehicle front and rear axle side-slip angles that is accurate for all surface coefficient of frictions on which the vehicle may be traveling. The method defines a nonlinear function for the front and rear axle side-slip angles relating to front and rear lateral forces and coefficient of friction, and uses the nonlinear function in the kinematics relationship. The method also provides a linear relationship of the front and rear axle side-slip angles and the front and rear lateral forces using the kinematics relationship. The method determines that the vehicle dynamics have become nonlinear using the linear relationship and then estimates the surface coefficient of friction when the vehicle dynamics are nonlinear.