Gm Global Technolgoy Operations, Inc.

John Randall Yost

Bakhtiar Brian Litkouhi

Hualin Tan

SeyedAlireza Kasaiezadeh Mahabadi

Seyedeh Asal Nahidi

James Heath Holbrook

Frank C Valeri

Scott M Reilly

Yubiao Zhang

Larry G Hartleip

Michael W Neal

Xueying Kang

William L Hull

Stephane Richter

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.

Architecture and methodology of limit handling intended driver command interpreter to achieve maximum lateral grip

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.

Method and system for controlling a vehicle by determining a location of an optimum perceived yaw center

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.

Methods of controlling axle torque distribution

Engine sound enhancement (ESE) for a vehicle includes determining a current rate of change (ROC) in a position of an acceleration device of the vehicle from sensor data received from at least one sensor in communication with the acceleration device and calculating an ESE value based on the current ROC in the position of the acceleration device. The ESE value reflects an intensity and tone quality of at least one of the exhaust and the engine of the vehicle. The ESE also includes receiving a current RPM value, comparing the RPM value and the ROC in the position of the acceleration device to corresponding pre-defined threshold values, the pre-defined threshold values mapped to ESE tunings, and activating one of the ESE tunings when each of the current RPM value and the current ROC in the position of the acceleration device meets a corresponding pre-defined threshold value.

Engine sound enhancement implementation through varying vehicle conditions

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Southfield, MI, United States of America

John Randall Yost