A system and method includes upgrading a metamodel for friction coefficient prediction of a brake, in which the metamodel for friction coefficient prediction may be constructed using various derivative parameters relating to the speed, temperature and pressure of a brake disc in addition to basic parameters, such as the speed, temperature and pressure of the brake disc, to greatly improve performance and accuracy in friction coefficient prediction using the metamodel for friction coefficient prediction and to improve accuracy in evaluation of the driving performance of a vehicle through an increase in accuracy of determination of brake torque.

A control system for a vehicle includes a plurality of vehicle actuators that are operable to affect actual chassis-level accelerations, a vehicle intelligence unit that determines a motion plan, a vehicle motion control unit that determines a chassis-level motion request based on the motion plan, and a chassis control unit that determines actuator commands for the plurality of vehicle actuators based on the chassis-level motion request.

A combined slip based driver command interpreter for a vehicle is provided which may be communicatively coupled to a steering wheel angle sensor, an acceleration pedal position sensor and a brake pedal position sensor, the combined slip based driver command interpreter including, but not limited to a memory configured to store a non-linear combined lateral slip model and a non-linear combined longitudinal slip model, and a processor, the processor configured to determine a driver's intended vehicle lateral velocity and a driver's intended vehicle yaw rate based upon the angle of the steering wheel, the position of the acceleration pedal, the position of the brake pedal, a longitudinal velocity of the vehicle, the non-linear combined lateral slip model and the non-linear combined longitudinal slip model.

The present disclosure relates to a vehicle motion management system as well as an actuator control system of a vehicle. The vehicle motion management system and actuator control system are arranged to control operation of at least one actuator configured to apply a torque to at least one wheel of the vehicle. The vehicle motion management system is configured to transmit a control signal to the actuator control system, wherein the actuator control system is configured to, based on the control signal, generate an operating torque to be executed subject to the torque limit and the desired wheel speed.

Systems and methods are provided for controlling a vehicle using a specific torque of a brake system. In one embodiment, a method of using a specific torque of a brake system for a vehicle includes: determining a brake pressure of the brake system during a braking operation; determining a deceleration of the vehicle during the braking operation; determining a vehicle mass and a wheel radius; estimating a specific torque of the brake system based on the brake pressure and the deceleration; and operating the vehicle based on the specific torque.

A method jointly estimates a state of a vehicle including a velocity and a heading rate of the vehicle and a state of stiffness of tires of the vehicle including at least one parameter defining an interaction of at least one tire of the vehicle with a road on which the vehicle is traveling. The method uses the motion and measurement models that include a combination of deterministic component independent from the state of stiffness and probabilistic components dependent on the state of stiffness. The method represents the state of stiffness with a set of particles. Each particle includes a mean and a variance of the state of stiffness defining a feasible space of the parameters of the state of stiffness. The method updates iteratively the mean and the variance of at least some particles using a difference between an estimated state of stiffness estimated using the motion model of the vehicle including the state of stiffness with parameters sampled on the feasible space of the particle and the measured state of stiffness determined according to the measurement model using measurements of the state of the vehicle. The method outputs a mean and a variance of the state of stiffness determined as a function of the updated mean and the updated variance in at least one particle.

Methods, apparatus, systems, and articles of manufacture are disclosed herein that mitigate hard-braking events. An example apparatus includes a world generator to generate a deep learning model to identify and categorize an object in a proximity of a vehicle, a data analyzer to determine a danger level associated with the object, the danger level indicative of a likelihood of a collision between the vehicle and the object, a vehicle response determiner to determine, based on the danger level, a response of the vehicle to avoid a collision with the object, and an instruction generator to transmit instructions to a steering system or a braking system of the vehicle based on the determined vehicle response.

A control device for a regenerative braking system having control electronics, the control electronics being designed, in consideration of at least one provided first variable with respect to a utilized coefficient of friction occurring in each case at the at least one wheel which may be regeneratively braked, to determine at least one preset variable with respect to at least one hydraulic minimum braking torque to be exerted on the at least one wheel which may be regeneratively braked, and, in consideration of at least the at least one determined preset variable, to determine the at least one setpoint variable.

According to a train control device, generally, a train-speed position detector that detects a speed and a position of a train that includes a driving and braking control device for controlling driving and braking. A control-command calculator calculates a positional deviation of the train on the basis of a result of the detection the train-speed position detector, a train-speed estimate being an estimated value of the speed of the train after a certain length of time, a train-position estimate being an estimated value of the position of the train after the certain length of time, and a certain target deceleration pattern for stopping the train at a certain position, and selects a control command for the driving and braking control device on the basis of the calculated positional deviation.

Systems and methods for facilitating an automatic adjustment of a braking system is provided. In one example, a computer-implemented method can comprise generating, by a system operatively coupled to a processor, a braking curve model based on braking usage pattern data corresponding to one or more vehicles. The computer-implemented method can also comprise adjusting, by the system, a supplemental braking component of the first vehicle based on a simulation of one or more braking components corresponding to the one or more vehicles, wherein the one or more braking components is represented by the braking curve model.