A tire physical information estimation system includes a physical information estimation unit and a data acquisition unit. The physical information estimation unit that includes a learning type arithmetic operation model including an input layer through an output layer and estimates tire physical information produced in association with movement of a tire. The data acquisition unit acquires input data input to the input layer. The arithmetic operation model includes a feature extraction unit that performs a convolution operation in an operation halfway between the input layer and the output layer, the arithmetic operation model outputting normalized tire physical information in at least two axial directions from the output layer.

For rapid and precise actuation of a friction brake, the thermal expansion of the friction brake is determined using a thermal model of the friction brake and therefrom the temperature-dependent shift in the contact point is determined for the braking operation and the temperature-dependent shift in the contact point is taken into account when determining the actuation measure of the friction brake to be adjusted.

An aircraft system having a first set of components for performing a function of the aircraft system, and a second, alternative, set of components for performing the function of the aircraft system. The aircraft system has and a controller configured to receive scenario data indicative of a scenario during which the function of the aircraft system is to be performed, and, where each of the first and second sets of components are operational, the controller is configured to select between the first or the second set of components to perform the aircraft system function during the scenario based on the received scenario data. The controller is configured to control the selected set of components to perform the function during the scenario.

The disclosed invention makes use of slip related values to calculate friction related values and tire stiffness related values and feeds back an estimated tire stiffness relates value or a calculated friction related as a basis for further calculations. In particular, the disclosure relates to methods, apparatuses and computer program products to achieve the mentioned objective.

A method for determining a likely internal pressure for a master brake cylinder including: estimating/measuring a displacement path(s) of a brake input element configured on a master cylinder from initial position thereof; estimating/measuring a first hydraulic fluid volumetric flow rate of a hydraulic fluid of the braking system out of or into a first pressure chamber of the master cylinder, and of a second hydraulic fluid volumetric flow rate of the hydraulic fluid out of or into a second pressure chamber of the master cylinder; and determining the likely internal pressure for a master cylinder considering the estimated/measured displacement path(s), the estimated and/or measured first hydraulic fluid volumetric flow rate, and the estimated and/or measured second hydraulic fluid volumetric flow rate. Also described is a device for determining a likely internal pressure for a master brake cylinder, and an electromechanical brake booster, ESP control, and vehicle braking system.

A method for validating a model of vehicle dynamics for use in autonomous driving. The method comprising setting a wheel slip limit on an operation of at least one vehicle torque device, obtaining a model of vehicle dynamics based on the set wheel slip limit, and validating the model of vehicle dynamics based on the set wheel slip limit.

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.

Methods and systems are provided for controlling a component of a vehicle. In one embodiment, a method includes: receiving sensor data sensed from the vehicle; processing the sensor data to determine an ideal state of the vehicle; processing the sensor data and the ideal state of the vehicle to determine a feasible state of the vehicle; and selectively controlling at least one component associated with at least one of an active safety system and a chassis system of the vehicle based on the at least one feasible state.

There are provided a brake control device and a brake control method capable of estimating a rigidity change due to a temperature change, uneven wear of a brake pad, an inclination of a brake disc, or the like with a low memory load and with high accuracy up to a region with larger thrust than a measurement range. A brake control device controls a braking unit including a friction member pushed on a braking target member, a piston that abuts on the friction member and moves in a linear motion direction by rotation of an electric motor, and a thrust detection unit that detects thrust of the friction member to the braking target member. The brake control device estimates a relation between a piston position being rigidity of the braking unit, and the thrust, based on a first piston range that is a thrust change as a first inclination with respect to the piston position, and a second piston range that is a thrust change as a second inclination different from the first inclination, with respect to the piston position.

A system for controlling a vehicle by jointly estimating a state of a vehicle and a function of a tire friction of a vehicle traveling on a road uses a particle filter maintaining a set of particles. Each particle includes an estimation of a state of the vehicle, an estimation of probability density function (pdf) of the tire friction function, and a weight indicative of a probability of the particle. The system executes the particle filter to update the particles based on a motion model and a measurement model of the vehicle, control commands moving the vehicle and measurements of the state where the vehicle moved according to the control commands. A control command is generated based on the motion of the vehicle, the weighted combinations of the state of the vehicle and the pdf of the tire friction function weighted according corresponding weights of the particles.