Gm Global Technolgoy Operations, Inc.

Delphi Technologies, Inc.

Weiwen Deng

Yong Han Lee

Yuen-Kwok Chin

Shih-Ken Chen

William Chin-Woei Lin

David S Rule

Haicen Zhang

Youssef A Ghoneim

Jihan Ryu

Bakhtiar Brian Litkouhi

Nikolai K Moshchuk

William C Lin

Valery Pylypchuk

Kevin Austin O'Dea

Ashok Chandy

Alexander Kade

Qingrong Zhao

David M Sidlosky

Flavio Nardi

Mark Philip Colosky

Sanket S Amberkar

Kathryn L Pattok

Scott P Sherman

Paul A Grougan

Thomas R Brown

Willard A Hall

Ming Tian

Eugene A Rodden

Nikolai K Moshohuk

Joseph J Gies, Iii

David P Lynch

A method to control a vehicle including control of regenerative brakes and friction brakes includes monitoring a desired corner force and moment distribution, monitoring real-time actuator constraints including a braking torque limit of each of the regenerative brake, determining a regenerative braking torque for each of the regenerative brakes based upon the desired corner force and moment distribution and the real-time actuator constraints, determining a friction braking torque for each of the friction brakes based upon the desired corner force and moment distribution and the determined regenerative braking torque for each of the regenerative brakes, and controlling the vehicle based upon the determined regenerative braking torques and the determined friction braking torques.

Hybrid brake control

A system for lane centering control for a vehicle having a user-operable steering device is disclosed. The system includes a set of sensors for sensing the vehicle speed, yaw rate, and steering device angle, a target path tracker configured for tracking the target path of the vehicle, a processor responsive to the set of sensors for predicting the path of the vehicle, a controller responsive to the set of sensors, the target path tracker, and the processor, and productive of a lane centering control signal, and an active front steering actuator responsive to the control signal and productive of steering assistance to the steering device. The controller includes a processing circuit responsive to executable instructions for producing the steering assistance to the steering device to reduce a difference between the predicted path and the target path, thereby serving to maintain lane centering of the vehicle.

Method and system for lane centering control

A vehicle steering system includes an automatic steering control unit configured to control the vehicle steering system when in an automatic operational state and a driver intervention unit is configured to determine driver intervention during the automatic operational state. The driver intervention unit comprising a decision software module configured to determine driver intervention.

Systems and methods for driver intervention in an automatic steering system

A method to assist steering of a vehicle equipped with an active steering system when operating in a reverse direction is provided. The method comprises monitoring vehicle operating characteristics and an operator steering input. Boundaries of a target region and a reference point are determined. A target steering angle range is calculated based upon the reference point and the target location. A controlled steering angle of the active steering system is corrected when the operator steering input is outside the target steering angle range. An aspect of the invention included determining the reference point comprising a point of intersection of a first vector and a second vector, the first vector parallel to and passing through a centerline of a rear axle of the vehicle and the second vector perpendicular to and passing through a centerline of an inside front steerable wheel of the vehicle.

Method and system for vehicle parking assistance

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.

Architecture and methodology for holistic vehicle control

A method to control a vehicle having a plurality of wheels includes monitoring desired vehicle dynamics, determining a desired corner force and moment distribution based upon the desired vehicle dynamics and a real-time closed form dynamics optimization solution, and controlling the vehicle based upon the desired corner force and moment distribution. The real-time closed form dynamics optimization solution is based upon a minimized center of gravity force error component, a minimized control energy component, and a maximized tire force reserve component.

Optimal corner control for vehicles

A method is provided for determining an adhesive condition of a surface of a vehicle road using a statistical pattern recognition technique. A plurality of probability distribution functions is provided representing respective adhesive effects between the vehicle tire of a driven vehicle and the vehicle road. An index is calculated which represents a vehicle understeer characteristic. Probability analysis is applied for each of the road surface adhesive conditions as a function of the index. Each probability analysis is recursively updated. A likelihood factor is determined for each road surface adhesive condition as a function of each respective recursively updated probability analysis. Each respective road surface adhesive condition has a respective likelihood factor that identifies the likelihood of the road surface having the respective adhesive condition as a function of the index. The identified adhesive condition of the road surface is input into a vehicle control process.

Road surface condition identification based on statistical pattern recognition

A vehicle control architecture designed based on a top-down approach with abstraction and modularity. The control architecture includes a vehicle/environment sensing and perception processor that processes sensor signals, and motion planning processors that provide lane center trajectory planning and tracking command, lane change trajectory planning and tracking command, and forward and backward speed and target tracking command. The architecture also includes a driver command interpreter that interprets driver commands and a command integration processor that provides reference dynamics for vehicle lateral, roll and longitudinal dynamics. The architecture also includes a control integration and supervisory controller that provides control integration and outputs integrated longitudinal force command signals, integrated lateral force command signals, integrated yaw moment command signals and steering torque command signals that are used by a vehicle longitudinal controller and a vehicle lateral controller.

Function decomposition and control architecture for complex vehicle control system

A method for controlling an assisted steering maneuver in an electric power steering (EPS) system includes modeling steering dynamics during a torque overlay operation to generate a dynamic steering model (DSM), measuring vehicle operating values, and detecting a driver intervention in the torque overlay operation based on the DSM and the vehicle operating values. The torque overlay operation is overridden when driver intervention is detected, allowing the driver to regain control of the steering maneuver. A vehicle includes a steering wheel, a steering assist mechanism, and an EPS system having an electronic control unit (ECU) adapted to determine a present intent of a driver of the vehicle to interrupt application of the TOC based on a vehicle operating value transmitted by the driver to the steering wheel. The ECU is operable for interrupting the torque overlay operation when the present intent of the driver is determined.

Detection of driver intervention during a torque overlay operation in an electric power steering system

A method for predicting the dynamics of a vehicle using information about the path on which the vehicle is travelling that has particular application for enhancing active safety performance of the vehicle, to improve driver comfort and to improve vehicle dynamics control. The method includes generating a preview of a path to be followed by the vehicle where the preview of the path is generated based on actual values of a plurality of vehicle parameters. The method further includes obtaining a corrected value of at least one of the plurality of vehicle parameters corresponding to the actual values of each of the plurality of vehicle parameters, wherein the corrected value of the at least one of the vehicle parameters is obtained based on a target path to be followed by the vehicle on the road, and wherein the target path is obtained on the basis of a plurality of road parameters.

Vehicle dynamics prediction with lane/path information using a preview-correction-prediction approach

A system and method for detecting the absence of contact between the hands of a driver of a vehicle and a steering wheel of the vehicle that have particular application in ensuring the proper functioning of various components of the driver assist steering systems and maintaining driver attentiveness. The method for detecting a no-contact condition between the hands of the driver of the vehicle and the steering wheel includes generating a model of the no-contact condition using a second-order transfer function. The method further includes obtaining a set of model-generated steering dynamics by estimating a plurality of parameters of the second-order transfer function and a set of measured steering dynamics using a plurality of sensors. The set of model-generated steering dynamics and the set of measured steering dynamics are then compared and the no-contact condition is detected based on this comparison.

Method and apparatus for driver hands off detection for vehicles with active front steering system

A system and method for detecting a road curve as a vehicle approaches the curve, automatically providing road curvature information and controlling vehicle speed. The system uses a locating device and a map database to know the vehicle's position. Depending on the speed of the vehicle, the system generates a curvature profile for different curvature data points at or around the curve in front of the vehicle. The system then generates a desired speed profile for the curvature points. The desired speed profile and the actual vehicle speed are compared to determine whether the vehicle is traveling too fast for the target speed at each profile point. The acceleration computation can be enhanced by providing a driver cornering mode input that the vehicle operator can select based on how aggressively the driver wants the system to act to slow down the vehicle.

Curve speed control system with adaptive map preview time and driving mode selection

A system for estimating vehicle side-slip in the linear vehicle operating region that includes updating front and rear cornering stiffness signals. The system includes a first state observer processor that employs a bicycle model with state feedback for generating yaw acceleration and lateral acceleration signals. The system further includes a subtractor that receives the yaw acceleration and lateral acceleration signals and measured yaw rate and lateral acceleration signals, and generates yaw acceleration and lateral acceleration error signals. A parameter estimation processor calculates an updated front cornering stiffness and rear cornering stiffness signals. The updated front and rear cornering stiffness signals are sent back to the first state observer processor, and are used by second state observer processor for generating the estimated vehicle side-slip.

Online estimation of vehicle side-slip under linear operating region

A vehicle lateral control system that integrates both vehicle dynamics and kinematics control. The system includes a driver interpreter that provides desired vehicle dynamics and predicted vehicle path based on driver input. Error signals between the desired vehicle dynamics and measured vehicle dynamics, and between the predicted vehicle path and the measured vehicle target path are sent to dynamics and kinematics control processors for generating a separate dynamics and kinematics command signals, respectively, to minimize the errors. The command signals are integrated by a control integration processor to combine the commands to optimize the performance of stabilizing the vehicle and tracking the path. The integrated command signal can be used to control one or more of front wheel assist steering, rear-wheel assist steering or differential braking.

Vehicle lateral control system

A vehicle steering control system for a vehicle/trailer combination that provides rear-wheel steering assist to improve the vehicle/trailer combination stability and handling performance. The control system provides an open-loop feed-forward control signal based on hand-wheel angle and vehicle speed. The control system includes a vehicle yaw rate command interpreter that provides a vehicle closed-loop feedback control signal based on the yaw rate of the vehicle, a trailer yaw rate command interpreter that provides a trailer closed-loop feedback control signal based on the yaw rate of the trailer, and a vehicle lateral acceleration command interpreter that provides a closed-loop feedback control signal based on the lateral acceleration of the vehicle. The closed-loop feedback signals are added together and then combined with the open-loop feed-forward control signal to provide the rear-wheel steering assist.

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Rochester Hills, MI, United States of America

Weiwen Deng