Patent classifications
B60W2720/20
Methods and system providing vehicle drift
Methods and systems are provided for operating a driveline of a hybrid vehicle that includes an internal combustion engine, an electric machine, and a transmission are described. In one example, torque output from the engine and the electric machine is adjusted to provide controlled vehicle side slip during cornering by a vehicle.
Vehicle Dynamics System Adjustment
A method for adjusting one or more vehicle dynamics systems of a vehicle, the vehicle comprising a road wheel and at least one vehicle sensor configured to provide vehicle condition data, the road wheel comprising a tyre sensor configured to output tyre operation data, the method comprising: receiving tyre operation data from the tyre sensor; receiving vehicle condition data from at least one vehicle sensor; calculating one or more vehicle dynamics parameters based on the vehicle condition data and the tyre operation data; and adjusting one or more vehicle dynamics systems in response to the calculated one or more vehicle dynamics parameters.
Method to control a road vehicle with an electronically controlled self-locking differential when driving along a curve
A method to control a road vehicle with an electronically controlled self-locking differential when driving along a curve; the control method includes the steps of: determining an actual attitude angle of the road vehicle; determining a desired attitude angle; and changing the locking of the self-locking differential based on the difference between the actual attitude angle and the desired attitude angle.
ARCHITECTURE AND METHODOLOGY FOR TARGET STATES DETERMINATION OF PERFORMANCE VEHICLE MOTION CONTROL
A vehicle, system and a method of driving a performance vehicle. The system includes a sensor for detecting a value of driver input to the vehicle, and a processor. The processor is configured to compare the value of the driver input to a threshold value for the driver input, switch to a performance mode operation for the vehicle when the value of the driver input is greater than the threshold value, generate a command at the vehicle based on the value of the driver input using a performance model of the vehicle activated in the performance mode, and activate a performance actuator of the vehicle to generate a dynamic parameter at the vehicle from the command.
Vehicle stability control system
A control system for a vehicle includes an internal vehicle reference model that determines reference states for the vehicle that represent an expected vehicle response, sensors that determine measured states for the vehicle, and a vehicle motion control system that determines desired states for the vehicle. A stability determining module identifies a reference deviation between the reference states and the measured states, identifies a desired deviation between the desired states and measured states, and outputs a command for reducing the reference deviation and the desired deviation. Actuators are operable to reduce the reference deviation and the desired deviation in response to the command.
Vehicle and method for controlling the same
A vehicle and method for controlling the same may include a speed detector configured to detect driving speed of the vehicle, a detection sensor configured to detect a target vehicle around the vehicle and obtain information about at least one of position and speed of the target vehicle, and a controller configured to determine a steering-based avoidance path for the vehicle to avoid the target vehicle by being steered, determine a maximum lateral acceleration of the vehicle for the vehicle to avoid the target vehicle in the steering-based avoidance path, and send a control signal for steering-based avoidance of the vehicle to avoid a collision with the target vehicle based on the determined maximum lateral acceleration.
STEERING APPARATUS FOR VEHICLE AND METHOD THEREFOR
Steering devices and methods for a vehicle are provided, where the method includes monitoring failure of an electric steering system, calculating a target yaw rate value and a target velocity value of the vehicle based on a signals received from one or more sensors, in response to detecting the failure in the electric steering system, detecting a wheel angle of a front wheel portion, performing backup steering based on generating slip in the vehicle to move the vehicle in a direction corresponding to an intended direction, and controlling a velocity of the vehicle to drive the vehicle based on an intended velocity, wherein the performing of the backup steering includes calculating a braking torque for each of the front wheel portion and a rear wheel portion based on the velocity and an steering angle, and distributing the braking torque to the front wheel portion and the rear wheel portion.
Electric vehicle, active safety control system for electric vehicle, and control method for active safety control system of electric vehicle
The present disclosure discloses an electric vehicle, an active safety control system of an electric vehicle, and a control method of the active safety control system of an electric vehicle. The electric vehicle includes: multiple wheels, multiple motors, a wheel speed detection module, a steering wheel rotation angle sensor, a yaw rate sensor, and a battery pack. The active safety control system includes: an acquisition module, acquiring the wheel speed signal, the direction information, the yaw information, status information of the battery pack, and status information of the multiple motors; a status determining module, determining status of the electric vehicle; and a control module, generating a control instruction and delivering the control instruction to at least one motor.
Physical model and machine learning combined method to simulate autonomous vehicle movement
In one embodiment, a driving scenario is identified for a next movement for an autonomous vehicle, where the driving scenario is represented by a set of one or more predetermined parameters. A first next movement is calculated for the autonomous vehicle using a physical model corresponding to the driving scenario. A sideslip predictive model is applied to the set of predetermined parameters to predict a sideslip of the autonomous vehicle under the driving scenario. A second next movement of the autonomous vehicle is determined based on the first next movement and the predicted sideslip of the autonomous vehicle. The predicted sideslip is utilized to modify the first next movement to compensate the sideslip. Planning and control data is generated for the second next movement and the autonomous vehicle is controlled and driven based on the planning and control data.
HYBRID VEHICLE DRIFT CONTROL SYSTEM AND METHOD
Methods and systems to operate a hybrid vehicle in a controlled lateral vehicle slip mode are described. The lateral vehicle slip mode may adjust torques applied to a vehicle's front wheels and operation of transmission clutches to induce lateral vehicle slip when requested. The vehicle may exit the lateral vehicle slip mode in response to applying vehicle brakes or releasing a vehicle accelerator pedal.