A method is provided for controlling a shifting process in a powertrain of a vehicle, the powertrain having a first and a second drive machine, a transmission connecting the drive machines to a transmission output and at least one coupling which can be shifted, wherein during a shifting process an offgoing coupling is disengaged and/or an oncoming coupling is engaged.

A method of operating a vehicle comprising at least a first vehicle retarding subsystem controllable to retard the vehicle, and processing circuitry coupled to the at least first vehicle retarding subsystem, the method comprising the steps of: acquiring, by the processing circuitry from the first vehicle retarding subsystem, at least one value indicative of current energy accumulation by the first vehicle retarding subsystem; and determining, by the processing circuitry, a measure indicative of a retardation energy capacity currently available for retardation of the vehicle, based on: the acquired at least one value indicative of current energy accumulation by the first vehicle retarding subsystem; a predefined model of retardation energy accumulation by the first vehicle retarding subsystem; and a predefined limit indicative of a maximum allowed energy accumulation by the first vehicle retarding subsystem.

A system includes a computer including a processor and a memory, the memory storing instructions executable by the processor to plan a plurality of vehicle speeds for an upcoming road segment, adjust one or more of the planned speeds based on a predicted torque loss including a penalty based on a predicted torque impeller speed, and actuate a propulsion according to the planned speeds to lock a torque converter clutch.

A method for operating a driver assistance system of a motor vehicle, which includes multiple wheels in contact with a roadway, the driver assistance system including at least one unit which includes a friction coefficient model and at least one sensor, which provides an input signal for the friction coefficient model, a friction coefficient between at least one of the wheels and the roadway being ascertained with the aid of the friction coefficient model, and the driver assistance system being set or calibrated as a function of the ascertained friction coefficient. Friction coefficients are ascertained with the aid of multiple of the units that ascertained friction coefficients are compared to one another, at least one valid friction coefficient of the friction coefficients is determined with the aid of the comparison, and the driver assistance system is set or calibrated as a function of the valid friction coefficient.

The disclosure includes embodiments for modifying a performance of a vehicle component whose performance is affected by a vehicle fluid that is contaminated by water. A method according to some embodiments includes recording sensor data describing refractometry measurements for the vehicle fluid. The method includes determining contamination data that describes an amount of water present in the vehicle fluid. The method includes analyzing the contamination data to determine parameter data describing modifications for a set of parameters for an advanced driver assistance system (ADAS system) that control the operation of the ADAS system, wherein the parameter data is operable to update the set of parameters and thereby modify the operation of the ADAS system to compensate for the amount of water present in the vehicle fluid so that vehicle component performs as though the vehicle fluid is substantially not contaminated by water.

A vehicle has a steering mechanism coupled to a wheel of the vehicle. The steering mechanism is adjustable to alter a vehicle trajectory. The vehicle also comprises a collision imminent steering (CIS) control system. The collision imminent steering control system includes a controller in electrical communication with the steering mechanism and is configured to adjust a steering sequence of the steering mechanism to alter the vehicle trajectory when an obstacle is detected at a distance from the vehicle less than a calculated safe braking distance. The controller simultaneously calculates a predicted optimal vehicle path around the obstacle and a steering sequence determined to follow the predicted optimal vehicle path around the obstacle using feedback received by the controller.

A lane centering system for use in a vehicle driving in a lane on a road includes a camera and a controller. Based on processing by a processor of image data captured by the camera, the controller determines the position of a left lane delimiter on the road on a left side of the vehicle and the position of a right lane delimiter on the road on a right side of the vehicle. The controller is operable to control a steering system of the vehicle that is configured to steer the vehicle. The controller is operable to determine a target path for the vehicle based on processing by the processor of image data captured by the camera. The determined target path maintains the longitudinal centerline of the vehicle centered between the left lane delimiter and the right lane delimiter.

A distributed system for monitoring and control of a vehicle having a plurality of physical systems, and a plurality of subsystems includes a supervisory controller with a first computer readable storage media for monitoring and storing a plurality of operational parameters. The supervisory controller communicates with a server a communications networks. A first method includes storing historical data in a database; simulating the physical system within the vehicle using a functional model; and continuously improving the model. Specific implementations of the first method include the physical system being a hydraulic system, an internal combustion engine, and a battery module. A second method includes storing historical data in a database; estimating a transfer function characterizing the behavior of a physical system; and diagnosing a subsystem as having a failure or a degradation. A third method includes monitoring operation actions related to safety, productivity, and efficiency. A fifth method includes operator training.

A method for controlling motion of a heavy-duty vehicle includes estimating a current vehicle state comprising at least velocity and acceleration, wherein the estimated current state is associated with a current state uncertainty, estimating a future vehicle state based on the current vehicle state, and on a predictive motion model of the vehicle, wherein the future vehicle state is associated with a future vehicle state uncertainty, defining a vehicle control envelope representing an operational limit of the vehicle, wherein the vehicle control envelope defines a range of vehicle states, comparing the estimated future vehicle state, and the associated future vehicle state uncertainty, to the vehicle control envelope, and, if a probability that the future vehicle state breaches the control envelope is above a configured threshold value, limiting a motion capability of the vehicle.

A traction application executing on a vehicle control module receives a traction speed control input to control a traction wheel of the vehicle. Based on the traction speed control input, the traction application determines a first setpoint value of a control attribute related to the traction wheel. A first diagnostic supervisor receives a measured value of the control attribute related to the traction wheel, and the first setpoint value from the traction application. The first diagnostic supervisor comprises a first model of a traction system of the vehicle. Based on the first setpoint value and the first model, the first diagnostic supervisor calculates a first virtual value of the control attribute related to the traction wheel. Based on the first virtual value and the measured value of the control attribute, the first diagnostic supervisor determines a first operating condition of the traction system of the vehicle.