Abstract:
A method is provided for steering control of a vehicle by using lateral velocity of two know points (or lateral velocity of one known point and yaw rate), longitudinal velocity and steer angle information. These factors are used to calculate a target steer angle based on the track angle based on yaw decomposition to thus adjust a current steer angle of the vehicle based on the target steer angle.
Abstract:
In motion control in the present invention, operation amounts relating to braking and drive are set as a control command when a difference between a physical quantity relating to a target vehicle attitude which is based on a target trajectory and a physical quantity relating to a linear model vehicle attitude which is based on a linear model of a vehicle exceeds a threshold value, operation amounts relating to braking and steering are set as the control command when the difference is equal to or smaller than the threshold value, and an attitude of the vehicle in a yaw direction is controlled based on the control command.
Abstract:
A driving assistance apparatus includes a processor having hardware. The processor is configured to acquire vehicle speed data before an ABS of a vehicle is activated and vehicle speed data when the ABS of the vehicle is stopped, calculate a coefficient of sliding friction based on the vehicle speed data before the ABS is activated and the vehicle speed data when the ABS is stopped, determine whether the coefficient of sliding friction is equal to or smaller than a threshold, and detect that a slip due to road freezing has occurred when the coefficient of sliding friction is equal to or smaller than the threshold.
Abstract:
Methods and systems are provided for determining vehicle spin-out conditions including conditions indicative of a vehicle spin-out ahead of the vehicle actually spinning-out. The methods and systems receive motion parameters of a vehicle based on sensed signals from at least one vehicle sensor of an electronic power steering system and an inertial measurement unit. The method and systems estimate pneumatic trail based on a rate of change of self-aligning torque with respect to axle lateral force. The methods and systems determine vehicle spin-out conditions based on the estimated pneumatic trail. The methods and systems control at least one feature of a vehicle in response to the determined vehicle spin-out conditions.
Abstract:
A method for controlling the side slip angle of a rear-wheel drive vehicle when turning; the control method provides for the steps of: detecting the position of an accelerator control which is displaced along a predetermined stroke; using a first initial part of the stroke of the accelerator control for directly controlling the generation of the drive torque so that the generated drive torque depends on the position of the accelerator control; and using a second final part of the stroke of the accelerator control to directly control a side slip angle of the vehicle when turning so that the side slip angle depends on the position of the accelerator control.
Abstract:
A vehicle body slip angle-estimating device which, in estimating a vehicle body slip angle with an algorithm using a nonlinear model, is capable of accurately estimating a vehicle body slip angle irrespective of whether the frequency of occurrence of a state during traveling of the vehicle. A basic value-calculating section calculates a basic value of a vehicle body slip angle with an algorithm using a neural network model. A turning state-determining section determines whether the vehicle is in a predetermined limit turning traveling state. A correction value-calculating section calculates a correction value with an algorithm using a predetermined linear model when the vehicle is in the predetermined state. In the other cases, the correction value is set to 0. A straight traveling-determining section sets the angle to the sum of the basic value and the correction value when the vehicle is in a turning traveling state.
Abstract:
In a motion control system for a vehicle including control means for controlling a yaw moment of the vehicle; first detection means for detecting a longitudinal velocity (V) of the vehicle; second detection means for detecting a lateral jerk (Gy_dot) of the vehicle; and third detection means for detecting a yaw angular acceleration (r_dot) of the vehicle, the yaw moment of the vehicle is controlled by the control means so that a difference between the yaw angular acceleration (r_dot) detected by the third detection means and a value (Gy_dot/V) obtained by the lateral jerk (Gy_dot) of the vehicle detected by the second detection means by the longitudinal velocity (V) detected by the first detection means becomes small.
Abstract:
A method for controlling the side slip angle of a rear-wheel drive vehicle when turning; the control method provides for the steps of: detecting the position of an accelerator control which is displaced along a predetermined stroke; using a first initial part of the stroke of the accelerator control for directly controlling the generation of the drive torque so that the generated drive torque depends on the position of the accelerator control; and using a second final part of the stroke of the accelerator control to directly control a side slip angle of the vehicle when turning so that the side slip angle depends on the position of the accelerator control.
Abstract:
A vehicle control device includes: a first memory for storing a road condition data; a position detector for detecting a position of a vehicle; a first controller for detecting and controlling unusual behavior of the vehicle; a driving condition detector for detecting a driving condition; an information acquiring element for acquiring weather information; a second memory for storing a driving data; a data acquiring element for acquiring the driving condition, the road condition data at an attention point, and the weather information; a memory controller for memorizing the attention spot in the second memory; a first optimum mode determining element for determining an optimum vehicle control mode based on the driving condition, the road condition data and the weather information; and a second controller for controlling the vehicle to coincide the driving condition with the optimum vehicle control mode before or at the attention spot.
Abstract:
A system and method for estimating vehicle lateral velocity. The method uses a kinematic estimator constructed as a closed-loop Leunberger observer. The kinematic estimator is based on a kinematic relationship between lateral acceleration measurement and rate of change of lateral velocity. The method provides measurement updates based on virtual lateral velocity measurements from front and rear axle lateral force versus axle side-slip angle tables using the lateral acceleration, yaw-rate, longitudinal speed, and steering angle measurements. The method calculates front and rear axle lateral forces from the lateral acceleration and yaw-rate measurements. The method estimates front and rear axle side-slip angles from the calculated front and rear axle lateral forces using the tables. The method calculates multiple virtual lateral velocities from the front and rear side-slip angles and selects one of the virtual lateral velocities that minimizes an error between a measured force and an estimated force as the lateral velocity.