Abstract: A system and method for identifying a person as an authorized driver of a vehicle based on settings of the vehicle. The system includes a sensor for detecting a presence of a driver in the vehicle. The system also includes one or more control modules corresponding to the parameters of the vehicle. The parameters can be controlled by the control modules. The system also includes a driver ID controller coupled to the control modules and the sensor. The driver ID controller is configured to recognize the driver as an authorized driver based on inputs from the sensor and the control modules. The driver ID controller can also command the control units to adjust the parameters to predefined one or more attributes corresponding to the authorized driver.

Abstract: A method of battery state of charge estimation considering battery hysteresis includes using a Preisach-model-based algorithm to calculate a battery state of charge.

Abstract: A selectable lane departure detection system (10) adapted for use by an operator, and with a vehicle (12) traveling upon a thoroughfare having lane-markings (16), and including at least one vehicle condition sensor (22 through 28), a tracking sensor (20) or differential global positioning system (38) configured to determine the location and configuration of the lane-markings (16), and a controller (32) communicatively coupled to the sensors (20 through 28), and configured to determine a spatial relationship between the vehicle (12) and lane-markings (16), determine a sporty driving maneuver by or preference of the operator, modify a predefined warning threshold when so determined, compare the relationship to the adjusted threshold, and issue a warning when the relationship does not exceed the threshold.

Abstract: A vehicle stability enhancement (VSE) system that is adapted for driver skill level. The system includes a driver skill recognition processor that determines the driver skill level based on a driver model that uses certain parameters, such as a steering gain factor and a time delay factor. The driver skill level is used to adjust the damping ratio and natural frequency in dynamic filters in a dynamic command generator to adjust a desired yaw rate signal and a desired side-slip signal. The driver skill level is also used to generate a yaw rate multiplication factor and a side-slip multiplication factor that modify a yaw rate stability signal and a side-slip stability signal in a dynamic control computation processor that generates a stability control signal.

Abstract: A method for determining estimated vehicle dynamics parameters using a vehicle parameter estimator, a vehicle condition detector and a rich steering input detector for estimating vehicle understeer coefficient and front and rear cornering compliances in real time. The vehicle parameter estimator receives a front wheel steering angle signal, a rear wheel steering angle signal, a vehicle lateral acceleration signal, a vehicle yaw rate signal and a vehicle speed signal, and employs a linear parameter estimation algorithm for estimating the understeer coefficient, and the front and rear corning compliance. The vehicle condition detector receives the front wheel steering angle signal, the rear wheel steering angle signal, the vehicle yaw rate signal and the vehicle speed signal, and disables the vehicle parameter estimator if the vehicle is not operating in a linear region. The rich steering input detector determines whether the estimated vehicle parameters are reliable and are ready to be used.

Abstract: A method for providing an estimate of brake pad thickness. The method employs fusion of sensors, if used, and driver brake modeling to predict the vehicle brake pad life. An algorithm is employed that uses various inputs, such as brake pad friction material properties, brake pad cooling rate, brake temperature, vehicle mass, road grade, weight distribution, brake pressure, brake energy, braking power, etc. to provide the estimation. The method calculates brake work using total work minus losses, such as aerodynamic drag resistance, engine braking and/or braking power as braking torque times velocity divided by rolling resistance to determine the brake rotor and lining temperature. The method then uses the brake temperature to determine the brake pad wear, where the wear is accumulated for each braking event. A brake pad sensor can be included to provide one or more indications of brake pad thickness from which the estimation can be revised.

Abstract: 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.

Abstract: A system and method that warn a vehicle driver by shaking or dithering the steering wheel that one or more active control systems on the vehicle is providing active control. The system includes an AFS actuator for providing a steering assist signal for stability control purposes, and a VES actuator for providing resistance against turning of the steering wheel. The system also includes a controller for causing the AFS actuator to shake the steering wheel if the active control is active and for causing the VES controller to apply and release tension to the steering wheel if the steering wheel is turned and the active control is active. The controller may increase the shaking of the steering wheel as the amount of the active control increases.

Abstract: A real-time vehicle dynamics estimation system that employs a vehicle parameter estimator, a vehicle condition detector and a rich steering input detector for estimating vehicle understeer coefficient and front and rear cornering compliances in real time. The vehicle parameter estimator receives a front wheel steering angle signal, a rear wheel steering angle signal, a vehicle lateral acceleration signal, a vehicle yaw rate signal and a vehicle speed signal, and employs a linear parameter estimation algorithm for estimating the understeer coefficient, and the front and rear corning compliance. The vehicle condition detector receives the front wheel steering angle signal, the rear wheel steering angle signal, the vehicle yaw rate signal and the vehicle speed signal, and disables the vehicle parameter estimator if the vehicle is not operating in a linear region.

Abstract: A system and method that warn a vehicle driver by shaking or dithering the steering wheel that one or more active control systems on the vehicle is providing active control. The system includes an AFS actuator for providing a steering assist signal for stability control purposes, and a VES actuator for providing resistance against turning of the steering wheel. The system also includes a controller for causing the AFS actuator to shake the steering wheel if the active control is active and for causing the VES controller to apply and release tension to the steering wheel if the steering wheel is turned and the active control is active. The controller may increase the shaking of the steering wheel as the amount of the active control increases.

Abstract: A method for determining estimated vehicle dynamics parameters using a vehicle parameter estimator, a vehicle condition detector and a rich steering input detector for estimating vehicle understeer coefficient and front and rear cornering compliances in real time. The vehicle parameter estimator receives a front wheel steering angle signal, a rear wheel steering angle signal, a vehicle lateral acceleration signal, a vehicle yaw rate signal and a vehicle speed signal, and employs a linear parameter estimation algorithm for estimating the understeer coefficient, and the front and rear corning compliance. The vehicle condition detector receives the front wheel steering angle signal, the rear wheel steering angle signal, the vehicle yaw rate signal and the vehicle speed signal, and disables the vehicle parameter estimator if the vehicle is not operating in a linear region. The rich steering input detector determines whether the estimated vehicle parameters are reliable and are ready to be used.

Abstract: A vehicle stability enhancement system that is adapted for an estimated driver workload. The system includes a driver workload estimation processor that estimates the driver workload based on certain factors, such as the vehicle speed or driver-behavior factors. The driver workload estimation is used to adjust the damping ratio and natural frequency in dynamic filters in a command interpreter to adjust a desired yaw rate signal and a desired side-slip signal. The driver workload estimation is also used to generate a yaw rate multiplication factor and a side-slip multiplication factor that modify a yaw rate stability signal and a side-slip stability signal in a feedback control processor that generates a stability control signal.

Abstract: A driver handling skill recognition system and related algorithm that identifies a driver skill level. The system includes a steering wheel angle processor responsive to a steering wheel angle signal that provides normalized DFT coefficients. The system also includes at least one feed-forward artificial neural network (FF-ANN) responsive to the normalized DFT coefficients, where the FF-ANN provides an output signal indicative of the driver skill level. In one embodiment, the system includes a plurality of FF-ANNs one for each of a plurality of different vehicle maneuvers. The system includes a maneuver identifier that identifies a vehicle maneuver. The system selects the output from one of the FF-ANNs depending on the identified maneuver. In an alternate embodiment, the system can include a single FF-ANN designed for a plurality of vehicle maneuvers.

Abstract: A vehicle stability enhancement (VSE) system that is adapted for driver skill level. The system includes a driver skill recognition processor that determines the driver skill level based on a driver model that uses certain parameters, such as a steering gain factor and a time delay factor. The driver skill level is used to adjust the damping ratio and natural frequency in dynamic filters in a dynamic command generator to adjust a desired yaw rate signal and a desired side-slip signal. The driver skill level is also used to generate a yaw rate multiplication factor and a side-slip multiplication factor that modify a yaw rate stability signal and a side-slip stability signal in a dynamic control computation processor that generates a stability control signal.

Abstract: A selectable lane departure detection system (10) adapted for use by an operator, and with a vehicle (12) traveling upon a thoroughfare having lane-markings (16), and including at least one vehicle condition sensor (22 through 28), a tracking sensor (20) or differential global positioning system (38) configured to determine the location and configuration of the lane-markings (16), and a controller (32) communicatively coupled to the sensors (20 through 28), and configured to determine a spatial relationship between the vehicle (12) and lane-markings (16), determine a sporty driving maneuver by or preference of the operator, modify a predefined warning threshold when so determined, compare the relationship to the adjusted threshold, and issue a warning when the relationship does not exceed the threshold.

Abstract: A vehicle-trailer back-up control system that employs an active front steer sub-system. The system includes a smart hitch controller that receives a vehicle speed signal and a hand-wheel angle signal, and calculates a hitch angle command signal. The system further includes a hitch angle sensor that measures the hitch angle between the vehicle and the trailer that is compared to the hitch angle command signal to generate a hitch angle error signal. A PID control unit receives the hitch angle error signal, and generates a corrected road wheel angle signal based on proportional and derivative gains. The corrected road wheel angle signal is used to generate a motor angle signal that is applied to a steering actuator to be combined with the steering angle signal to generate the front wheel steering signal during a back-up maneuver.

Abstract: 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.

Abstract: A control system that employs closed-loop control for providing active vehicle rear-wheel steering, where the control system receives longitudinal wheel slip inputs to improve the vehicle directional stability. The longitudinal wheel slip inputs can be from one or more of wheel speed, traction control on and automatic braking system on. The control system includes an open-loop controller for generating an open-loop steering control signal, a yaw rate feedback controller for generating a yaw rate feedback signal, and a side-slip rate controller for generating a side-slip rate feedback signal. The open-loop steering control signal, the yaw rate feedback signal and the side-slip rate feedback signal are combined to generate the steering control signal to steer the vehicle rear wheels.

Abstract: A vehicle-trailer back-up control system that employs an active front steer sub-system. The system includes a smart hitch controller that receives a vehicle speed signal and a hand-wheel angle signal, and calculates a hitch angle command signal. The system further includes a hitch angle sensor that measures the hitch angle between the vehicle and the trailer that is compared to the hitch angle command signal to generate a hitch angle error signal. A PID control unit receives the hitch angle error signal, and generates a corrected road wheel angle signal based on proportional and derivative gains. The corrected road wheel angle signal is used to generate a motor angle signal that is applied to a steering actuator to be combined with the steering angle signal to generate the front wheel steering signal during a back-up maneuver.

Abstract: A real-time vehicle dynamics estimation system that employs a vehicle parameter estimator, a vehicle condition detector and a rich steering input detector for estimating vehicle understeer coefficient and front and rear cornering compliances in real time. The vehicle parameter estimator receives a front wheel steering angle signal, a rear wheel steering angle signal, a vehicle lateral acceleration signal, a vehicle yaw rate signal and a vehicle speed signal, and employs a linear parameter estimation algorithm for estimating the understeer coefficient, and the front and rear corning compliance. The vehicle condition detector receives the front wheel steering angle signal, the rear wheel steering angle signal, the vehicle yaw rate signal and the vehicle speed signal, and disables the vehicle parameter estimator if the vehicle is not operating in a linear region.