A braking system for a heavy duty vehicle includes a first brake controller arranged to control braking on a first wheel and a second brake controller arranged to control braking on a second wheel, based on a respective configured wheel slip limit and on a respective brake torque request, wherein the first and the second brake controllers are interconnected via a back-up connection arranged to allow one of the first and the second brake controller to assume braking control of the wheel of the other of the first and the second brake controller in case of brake controller failure, the braking system comprising a control unit arranged to, in response to brake controller failure, reduce the configured wheel slip limit associated with the failed brake controller to a reduced wheel slip limit.

A brake system for actuating at least one wheel brake includes a reservoir and a master cylinder operable to provide a brake signal responsive to actuation of a brake pedal connected thereto. The master cylinder is selectively operable during a manual push-through mode to generate brake actuating pressure to at least one output for hydraulically actuating at least one wheel brake. A power transmission unit is configured for actuating at least one of the wheel brakes in a non-failure normal braking mode. A secondary braking module is configured for selectively providing hydraulic fluid to each of the wheel brakes in an enhanced braking mode. The secondary braking module includes a pump motor driving at least one pump unit. Each pump unit is operatively connected to a fluid accumulator associated with the correlated wheel brake for selectively varying an amount of hydraulic fluid provided to the wheel brake.

The present disclosure describes systems and methods that include calculating, via a reinforcement learning agent (RLA) controller, a plurality of state-action values based on sensor data representing an observed state, wherein the RLA controller utilizes a deep neural network (DNN) and generating, via a fuzzy controller, a plurality of linear models mapping the plurality of state-action values to the sensor data.

Device for a brake travel emulator with at least one integrated sensor, comprising a housing (5), a force sensor (18) both being connected to a middle part of a connection means (4). The force sensor (18) being arranged at a static unit (2), the housing (5) further comprising at least one conical compression spring (6), an axially sliding component (7), a connecting rod (9) comprising a varying diameter geometry, an oscillating means (48) capable of creating an electric field, and a displacement sensor (46), the force sensor (18) further comprising, a micro-controller (50), means for receiving applied force (41) and at least four coils (30, 31, 32, 33).

A brake control device (10) for delivering air under controlled pressure to a pneumatic brake actuator (BA), comprising an inlet port (51) coupled to a compressed air supply circuit, a working port (54) coupled to a service brake chamber (C2) of the brake actuator (BA), a venting port (56), first and second inlet solenoid valves (31, 32) for selectively connecting inlet port(s) to the working port, first and second outlet solenoid valves (41, 42) for selectively connecting the working port to venting port(s), a biased check valve (12), for coupling the working port to venting port(s), the brake control unit device further comprising first and second local electronic control units (21, 22) for controlling independently first and second inlet solenoid valves and first and second outlet solenoid valves.

A method and system are provided for controlling braking a vehicle in an autonomous driving mode. For instance, the vehicle is controlled in the autonomous driving mode according to a first braking control mode using a first model to adjust the position of a vehicle relative to an expected position of a current trajectory of the vehicle. Using a second model how close to a maximum deviation threshold the vehicle would come if a maximum braking strength for the vehicle was applied is predicted. The maximum deviation threshold provides an allowed forward deviation from the current trajectory. Based on the prediction, the vehicle is controlled in the autonomous driving mode according to a second braking control mode by automatically applying the maximum braking strength.

A braking system for a heavy duty vehicle includes a first brake controller arranged to control braking on a front axle left wheel, and a second brake controller arranged to control braking on a front axle right wheel. The first and second brake controllers are connected by a back-up connection arranged to allow one of the first and the second brake controller to assume braking control of the wheel of the other of the first and the second brake controller. The first and second brake controllers are arranged as fail-operational brake controllers. A third brake controller is arranged to control braking on a first rear axle left wheel, and a fourth brake controller is arranged to control braking on a first rear axle right wheel. The third and the fourth brake controllers are arranged to place respective rear axle left and right wheels in an unbraked state in response to failure. The third and fourth brake controllers are arranged as fail-silent brake controllers.

Vehicles and methods of operating vehicles are disclosed herein. A vehicle includes a main frame, a work implement, and a control system. The work implement is supported by the main frame and configured to carry a payload in use of the vehicle. The control system is supported by the main frame and configured to control operation of the vehicle. The control system includes a payload measurement system configured to provide payload input indicative of a variable payload carried by the work implement in use of the vehicle and a controller coupled to the payload measurement system.

A braking system for a vehicle, having a brake pedal, a position sensor unit for determining position data regarding an actuation distance and/or a pivot angle of the brake pedal of the vehicle, a force sensor unit for determining force data regarding an operating force with which the brake pedal is operated, a control unit, and an additional control unit. The position sensor unit has a signal connection to the control unit and to the additional control unit for transmitting the position data to the control unit as well as to the additional control unit. The force sensor unit has a signal connection to the control unit and to the additional control unit for transmitting the force data to the control unit as well as to the additional control unit.

A method for operating a brake system of a vehicle. The brake system having: a first and a second actuator for generating a hydraulic pressure in the brake system; a first control device designed to control the first actuator; and a second control device designed to control the second actuator. In the method, the brake system is monitored for emergency braking, wherein the first actuator is controlled by the first control device to generate a first hydraulic pressure for achieving a pre-specified emergency deceleration of the vehicle if emergency braking is detected. The second control device is controlled by the first control device to control the second actuator to generate a second hydraulic pressure when the deceleration that can be or is achieved by means of the first actuator is less than the pre-specified emergency deceleration.