A target acceleration/deceleration setting unit (28) of a vehicle acceleration/deceleration controller (16) sets a target acceleration or deceleration at a location at which a curve starts to be a predetermined maximum deceleration, sets a target acceleration or deceleration at a location at which the curve ends to be a predetermined maximum acceleration, sets a target acceleration or deceleration at a predetermined intermediate location between the location at which the curve starts and the location at which the curve ends to be zero, and sets a target deceleration D (Ld) at a location to which the travelling distance from the location at which the curve starts is Ld and a target acceleration A (La) at a location to which the travelling distance from the predetermined intermediate location is La to satisfy respective predetermined relations.

Automotive electronic control unit programmed to realtime estimate either or both of vehicle mass and road slope, wherein; a. road slope, is estimated; a1. when vehicle is considered stopped based on an accelerometer signal indicative of vehicle acceleration, wherein the vehicle is considered stopped in the presence of substantially zero values of a speed signal indicative of vehicle speed, and a2. when vehicle is in rectilinear and curvilinear motion by implementing a road slope observer based on a linear Kalman filter, which is designed to: a21. operate based on signals indicative of vehicle speed and acceleration, and a22. compensate for accelerometric disturbances due to; a221. vehicle static pitch resulting from vehicle load distribution, and a222. vehicle dynamic pitch due to acceleration to which vehicle is subjected during motion, and a223. accelerometric disturbance components due to vehicle lateral dynamics; b. vehicle mass is estimated: b1. when vehicle is in motion, and b2. based on a recursive least square algorithm with forgetting factor, and b3. based on an accelerometric signal indicative of vehicle acceleration, on a vehicle speed signal, and other signals representing a vehicle propulsive/resistive torque, and b4. at different low gears, to provide a mass estimation and an associated variance for each gear, and b5. based on mass estimations and corresponding variances for each gear, and b6. compensating for accelerometer disturbances due to: b61, vehicle dynamic pitch; and b62. accelerometric disturbance components due to vehicle lateral dynamics; and b7. minimizing uncertainties on propulsive/resistive torque due to gear efficiency and rolling resistance.

A method ascertains a deceleration quantity of a brake system of a vehicle, the brake system having at least one brake and at least one additional brake. The method involves the steps of: providing a value of a manipulated variable applied by the brake system, the at least one brake being configured to produce a deceleration quantity in response to the value of the manipulated variable; ascertaining a braking effect that has been applied to the brake system and acts on the vehicle by way of the brake system in response to the manipulated variable; ascertaining a deceleration quantity of the at least one brake, the deceleration quantity corresponding to the value of the manipulated variable and being obtained on the basis of a manipulated variable, in particular taking into account vehicle parameters; and ascertaining a deceleration quantity of the at least one additional brake from the deceleration quantity of the at least one brake and the braking effect on the vehicle, in particular taking into account vehicle parameters.

The invention relates to a method of controlling a heavy-duty vehicle in a slope when the vehicle has come to a standstill due to service brakes of the vehicle having applied a service brake force, the method comprising determining a total brake force required for maintaining the vehicle at standstill, activating at least one park brake for providing a park brake force, gradually increasing the park brake force, and, while the park brake force is gradually increased, gradually reducing the service brake force while maintaining the sum of the service brake force and the park brake force at least equal to the determined total brake force.

The present disclosure discloses a trailer braking control method and system based on an electric brake controller. A lateral displacement and speed of a vehicle are acquired first; whether the vehicle has Death Wobble and a degree of the Death Wobble are then determined according to the lateral displacement; if there is Death Wobble, a driving state of the vehicle is determined according to the speed; and finally, a set voltage is added based on a set output voltage according to the degree of the Death Wobble and the driving state, so as to brake the vehicle. The present disclosure avoids setting of a weight ratio in the prior art to prevent the phenomenon of Death Wobble, and can identify and prevent the phenomenon of Death Wobble of a trailer, thereby avoiding an overturning accident and ensuring the personal safety and the integrity of a vehicle.

A computer implemented method for controlling a vehicle includes obtaining a value of the mass of the vehicle, receiving a plurality of time sequential measured first values of one or more further state parameters, calculating a first plurality of time sequential values of the vehicle mass, including a first calculated mass value, using the plurality of measured first values of the one or more further state parameters, the non-linear model, and an extended Kalman filter with a first filter tuning, with the obtained mass value as a start value, receiving a plurality of time sequential measured second values of the one or more of the further state parameters, and calculating a second plurality of time sequential values of the vehicle mass, including a second calculated mass value, using the plurality of measured second values of the one or more further state parameters, the non-linear model, and an extended Kalman filter with a second filter tuning, with the first calculated mass value as a start value, wherein the second filter tuning is made less aggressive than the first filter tuning.

A braking system for controlling braking of a machine is disclosed. The braking system includes a first set of sensors to detect a first set of information indicative of operational characteristics of an engine and a transmission system. The braking system includes a second set of sensors to detect a second set of information indicative of a load of the machine and a profile of a work surface. The braking system includes a receiving unit to receive a third set of information indicative of a predefined route of the machine. The braking system includes a controller configured to control an actuator for opening and closing of an exhaust port for engine braking, and to control a valve for achieving a predetermined gear-ratio during the engine braking, based on the first set of information, the second set of information, and the third set of information.

In various example embodiments, a system and method for determining a trailer brake gain signal for trailer brakes on a trailer being towed by a vehicle, and applying brakes to the trailer is disclosed. A method includes: providing predetermined calibration settings relating motor drive force to motor speed for a vehicle travelling at various speeds and providing accelerometer data. The method then determines that one or more vehicle performance parameters fall within threshold ranges and then determines both the vehicle weight and the trailer weight. The brake gain signal is determined based on the ratio of the current trailer weight and the original trailer weight. The brake gain signal is then transmitted to a trailer brake controller that applies trailer brakes according to the brake gain signal.

Disclosed is a controller for controlling brake action of an aircraft based on a current runway condition of the runway. The controller receives an expected condition of the runway and expected brake action for the aircraft from air traffic control, or other entity. The controller sends actual measured brake pressure applied by the aircraft while landing, along with sensor data from sensors on the aircraft configured to detect contaminants such as fluid or ice on the runway to a machine learning model. The machine learning model is configured to output a predicted brake action for the aircraft and predicted runway condition. The controller compares the expected brake action and expected runway condition to the predicted brake action and predicted runway condition. If there is any discrepancy, the controller sends the predicted brake action and runway condition to air traffic control to update the expected brake action and expected runway condition.

Provided is a work vehicle capable of satisfying a user's demand to brake performance in a flexible manner. A wheel loader 1 comprises a controller 5 storing a plurality of control characteristics each of which is set such that a brake valve control pressure Pi of a solenoid proportional valve 45 increases as a pedal angle of a brake pedal 43 increases, and under the condition where a pedal angle is equal to or less than a predetermined pedal angle , an increase rate of the brake valve control pressure Pi with respect to the pedal angle varies. In a case where the pedal angle detected by a potentiometer 33 is equal to or less than the predetermined pedal angle th, the controller 5, calculates the brake valve control pressure Pi based on the selected one control characteristic.