Abstract: A vehicle system includes at least one sensor that collects infrastructure information in real time and outputs sensor signals representing the collected infrastructure information. A processing device processes the sensor signals, predicts a future road characteristic based on the infrastructure information, and controls at least one vehicle subsystem in accordance with the predicted future road characteristic. A method includes receiving infrastructure information collected in real time, processing the infrastructure information, predicting a future road characteristic based on the infrastructure information, and controlling at least one vehicle subsystem in accordance with the predicted future road characteristic.

Abstract: A vehicle system includes at least one sensor and a processing device. The sensor is configured to output sensor signals representing infrastructure information collected in real time. The processing device is configured to predict a future road characteristic based on the infrastructure information, evaluate a prediction error, adjust a prediction horizon until the prediction error is within a predetermined accuracy range, and control at least one vehicle subsystem in accordance with the predicted future road characteristic. A method includes receiving infrastructure information collected in real time, predicting a future road characteristic based on the infrastructure information, evaluating a prediction error, adjusting a prediction horizon until the prediction error is within a predetermined accuracy range, and controlling at least one vehicle subsystem in accordance with the predicted future road characteristic.

Abstract: Systems and methods are described for powertrain controls optimization. One method comprises adaptively learning engine settings for a sparse sample of a speed-load map, which includes engine operation at boundary conditions of a speed-load map, and generating a dynamic node look-up table based on the learned engine settings for the sparse sample. The dynamic node look-up table may provide engine settings for engine operation at speed-load points not explicitly learned during the adaptive learning.

Abstract: A method for estimating a location of a center of gravity (CG) of a sprung mass of a vehicle includes steps of a) determining whether the vehicle is stationary or moving; b) if the vehicle is stationary, calculating estimated x and y coordinates of the CG; c) storing the estimated coordinates in memory; and d) repeating steps a)-c) until the vehicle is no longer stationary.

Abstract: An aluminum welding system includes a welding machine configured to weld a workpiece with an aluminum nugget and a measurement device configured to measure an attribute of at least one of the aluminum nugget and a welding process. The system further includes a processing device configured to output a weld quality signal representing a quality of an aluminum weld based at least in part on the attribute measured. A method includes measuring an attribute of at least one of an aluminum nugget forming a joint of a workpiece and a welding process, determining a quality of an aluminum weld based at least in part on the attribute measured, and outputting a weld quality signal representing the determined quality.

Abstract: Various methods for determining the fully closed position of a wastegate valve are provided. In one example, a non-closed position command for a wastegate valve in a low-lift region relative to a valve seat is received. Prior to executing the position command, the wastegate valve is only temporarily closed to thereby determine a fully closed position.

Abstract: A method is described comprising modulating vehicle speed about a target speed by operating a vehicle with an engine at high output and then operating the vehicle with the engine off, and adjusting operation of a suspension system based on the vehicle operation with the engine at high output and the engine off to control vehicle pitch during the modulating of vehicle speed about the target speed.

Abstract: A method for operating an actuator is disclosed. The actuator may be a linear or non-linear actuator. In one example, a pseudo-inverse piecewise bilinear model is adapted in response to output of a feedback controller to improve feed forward control.

Abstract: A vehicle's dynamic handling state, driver inputs to the vehicle, etc. may be examined to determine one or more measures of driver workload. Driver interface tasks may then be delayed and/or prevented from executing based on the driver workload so as to not increase the driver workload. Alternatively, driver interface tasks may be schedule for execution based on the driver workload and caused to execute according to the schedule, for example, to minimize the impact the executing driver interface tasks have on driver workload.

Abstract: A vehicle computer system comprising a wireless transceiver configured to send a nomadic device human machine interface to a nomadic device in a web browser format. The vehicle computer system further comprises a vehicle server utilizing a contextual data aggregator that utilizes vehicle data and off-board data to generate a dynamic human machine interface, the server further configured to generate an in-vehicle human machine interface for output on a vehicle display and generate the nomadic device human machine interface for the nomadic device to display.

Abstract: A method is described comprising modulating vehicle speed about a target speed by operating a vehicle with an engine at high output and then operating the vehicle with the engine off, and adjusting operation of a suspension system based on the vehicle operation with the engine at high output and the engine off to control vehicle pitch during the modulating of vehicle speed about the target speed.

Abstract: A vehicle's dynamic handling state, driver inputs to the vehicle, etc. may be examined to determine one or more measures of driver workload. Driver interface tasks may then be delayed and/or prevented from executing based on the driver workload so as to not increase the driver workload. Alternatively, driver interface tasks may be schedule for execution based on the driver workload and caused to execute according to the schedule, for example, to minimize the impact the executing driver interface tasks have on driver workload.

Abstract: A method for advising a driver of a vehicle may include monitoring driver torque requests, establishing categories of driver behavior based on a history of driver torque requests and associated rates of change thereof, categorizing current driver behavior into one of the established categories based on current driver torque requests and associated rates of change thereof, and initiating an alert for the driver if the categorization is of a particular type.

Abstract: A vehicle's dynamic handling state, driver inputs to the vehicle, etc. may be examined to determine one or more measures of driver workload. Driver interface tasks may then be delayed and/or prevented from executing based on the driver workload so as to not increase the driver workload. Alternatively, driver interface tasks may be schedule for execution based on the driver workload and caused to execute according to the schedule, for example, to minimize the impact the executing driver interface tasks have on driver workload.

Abstract: One or more embodiments of the present application may provide a system and method for monitoring driver inputs and vehicle parameters, assessing a driver's acceleration behavior, and providing short-term and/or long-term feedback to the driver relating to the driver's acceleration behavior. The acceleration behavior feedback can be used to coach future driving acceleration behavior that may translate into better long-term driving habits, which in turn may lead to improvements in fuel economy or vehicle range. Moreover, the acceleration behavior feedback can be adapted to a driver based upon how responsive the driver is to the feedback.

Abstract: A method for estimating a location of a center of gravity (CG) of a sprung mass of a vehicle includes steps of a) determining whether the vehicle is stationary or moving; b) if the vehicle is stationary, calculating estimated x and y coordinates of the CG; c) storing the estimated coordinates in memory; and d) repeating steps a)-c) until the vehicle is no longer stationary.

Abstract: Information about a device may be emotively conveyed to a user of the device. Input indicative of an operating state of the device may be received. The input may be transformed into data representing a simulated emotional state. Data representing an avatar that expresses the simulated emotional state may be generated and displayed. A query from the user regarding the simulated emotional state expressed by the avatar may be received. The query may be responded to.

Abstract: A steering system clatter mitigation apparatus and method. The clatter mitigation apparatus excites the steering system at a frequency within a range of an existing engine noise. The excitation of the steering system at a different frequency than the clatter sound greatly reduces the clatter sound. The sound produced by the excitation of the steering system is masked by the existing sound of the engine.

Abstract: A vehicle computer system comprising a wireless transceiver configured to send a nomadic device human machine interface to a nomadic device in a web browser format. The vehicle computer system further comprises a vehicle server utilizing a contextual data aggregator that utilizes vehicle data and off-board data to generate a dynamic human machine interface, the server further configured to generate an in-vehicle human machine interface for output on a vehicle display and generate the nomadic device human machine interface for the nomadic device to display.

Abstract: A vehicle system having a controller configured to receive a sensor input. The controller may generate a feature score based at least in part on the sensor input and a location data within a database. The controller may associate the feature score to a selectable option. The controller may instruct a user interface device to display the selectable option in response to the feature score.