Abstract: The disclosure relates to a method including the steps of: acquiring a time sequence of sets of vehicle parameter values; determining, for each set of acquired vehicle parameter values, based the set of acquired vehicle parameter values, a measure indicative of an observed strain in a steering rod, between a steering actuator and a wheel; determining, for each set of acquired vehicle parameter values, a measure indicative of a predicted strain in the rod, between the steering actuator and the wheel; and determining the functional status of the steering system based on a relation between the measures indicative of the observed strain in the rod and the measures indicative of the predicted strain in the rod.

Abstract: Machine-learning-based steering torque non-uniformity compensation for vehicles is enabled. For example, a system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: a machine learning component that generates a steering non-uniformity model based on machine learning applied to past steering data representative of positions and steering ratios of a steering wheel of a vehicle, and a torque compensation component that, using current position data representative of a current position of the steering wheel and the steering non-uniformity model, determines a torque to apply to the steering wheel configured to offset a steering non-uniformity at the current position.

Abstract: A method and system for compensating for vehicle disturbances during vehicle operation, including: an algorithm for obtaining predicted driving condition data from a database, wherein the database includes one or more of geospatial data and remote vehicle data; an algorithm for obtaining real-time vehicle state data from equipment communicatively connected to a vehicle; an algorithm for combining the predicted driving condition data and the real-time vehicle state data to formulate a desired steering torque request necessary to compensate for predicted and actual driving conditions experienced by the vehicle; and an algorithm for providing the desired steering torque request to a power steering assist system of the vehicle to compensate for the predicted and actual driving conditions experienced by the vehicle.

Abstract: Machine-learning-based steering torque non-uniformity compensation for vehicles is enabled. For example, a system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: a machine learning component that generates a steering non-uniformity model based on machine learning applied to past steering data representative of positions and steering ratios of a steering wheel of a vehicle, and a torque compensation component that, using current position data representative of a current position of the steering wheel and the steering non-uniformity model, determines a torque to apply to the steering wheel configured to offset a steering non-uniformity at the current position.

Abstract: A method for controlling an electrically powered steering assistance system including an electric motor for providing assisting torque to an axle of a vehicle such that impact between a wheel and the wheel housing can be prevented. Electrically powered steering assist systems include an electric motor for providing an assist steering torque to the steerable wheels of the vehicle. The electrical current used by the electric motor has a typical dependence with the amount of output torque from the motor. The electrical current of the electrical current used by the electric motor exhibits distinguishable characteristics when the wheels reach the end stop in the wheel housing. By monitoring the electrical current used by the electric motor for providing the assisting torque it is possible to determine that the wheels have reached the end-stop.

Abstract: A method and system for compensating for vehicle disturbances during vehicle operation, including: an algorithm for obtaining predicted driving condition data from a database, wherein the database includes one or more of geospatial data and remote vehicle data; an algorithm for obtaining real-time vehicle state data from equipment communicatively connected to a vehicle; an algorithm for combining the predicted driving condition data and the real-time vehicle state data to formulate a desired steering torque request necessary to compensate for predicted and actual driving conditions experienced by the vehicle; and an algorithm for providing the desired steering torque request to a power steering assist system of the vehicle to compensate for the predicted and actual driving conditions experienced by the vehicle.

Abstract: The present disclosure generally relates to providing a centralized controller for actuators within electronic control systems of a vehicle. An electronic control system within a vehicle computer system, having a first actuator for performing a first vehicle function, a second actuator for a performing second vehicle function and a controller coupled to the first actuator and the second actuator for controlling the first and second actuators is provided such that the controller is not embedded in either the first or second actuator. Embodiments of a centralized controller and a non-transitory machine-readable medium on which a program is stored for providing instructions to a controller that may utilize the 1-Wire® and/or PoE protocols are also provided. Advantages include, but are not limited to centralized manufacturing, simplified diagnostics, and streamlined software upgrades, all of which result in reduce costs.

Abstract: Electrically powered steering assistance systems for a front axle of a vehicle. The degree of steering assistance is adjusted based on a present vehicle acceleration magnitude, and thus indirectly based on the forces on the front axle. In this way, the steering feel experienced by the driver may be maintained at or close to a nominal steering feel even when accelerating or decelerating with the vehicle. The above advantages are obtained by a method including receiving a signal indicative of a present vehicle acceleration magnitude. A present degree of steering assistance provided by the electrically powered steering assistance system to the front axle of the vehicle is determined. The present degree of steering assistance is adjusted by an adjustment factor based on the present vehicle acceleration magnitude.

Abstract: A method for controlling an electrically powered steering assistance system including an electric motor for providing assisting torque to an axle of a vehicle such that impact between a wheel and the wheel housing can be prevented. Electrically powered steering assist systems include an electric motor for providing an assist steering torque to the steerable wheels of the vehicle. The electrical current used by the electric motor has a typical dependence with the amount of output torque from the motor. The electrical current of the electrical current used by the electric motor exhibits distinguishable characteristics when the wheels reach the end stop in the wheel housing. By monitoring the electrical current used by the electric motor for providing the assisting torque it is possible to determine that the wheels have reached the end-stop.

Abstract: The disclosure relates to a method including the steps of: acquiring a time sequence of sets of vehicle parameter values; determining, for each set of acquired vehicle parameter values, based the set of acquired vehicle parameter values, a measure indicative of an observed strain in a steering rod, between a steering actuator and a wheel; determining, for each set of acquired vehicle parameter values, a measure indicative of a predicted strain in the rod, between the steering actuator and the wheel; and determining the functional status of the steering system based on a relation between the measures indicative of the observed strain in the rod and the measures indicative of the predicted strain in the rod.