A method for determines the drive train sensitivity of a drive train of a motor vehicle. A vehicle body is placed in longitudinal oscillations in the direction of travel and a parameter for the drive train sensitivity is determined as a function of the determined longitudinal accelerations of the vehicle body and the resultant angular accelerations of a transmission input shaft of a transmission of the motor vehicle.

Ground vehicle control techniques adapted to reduce energy consumption, braking, shifting, travel distance, travel time, and or the like. The techniques can generate a target speed window and a target vehicle performance plan for controlling operation of a ground vehicle along a current and one or more upcoming segments of a roadway responsive to the dynamic driving environment.

The disclosure relates to a hybrid vehicle and a method of controlling of the hybrid vehicle, and an aspect of the disclosure is to generate optimal vehicle control values through learning using Q-learning technique of reinforcement learning in the field of machine learning based on vehicle state information. The method of controlling the hybrid vehicle includes obtaining vehicle state information including battery SOC information, engine on/off information, demand power, vehicle speed information, and fuel consumption information; creating a vehicle model information map using the vehicle state information; creating a Q value table based on the vehicle model information map; and calculating power distribution control values of an engine and a motor through reinforcement learning based on the Q value table.

A method for estimation of a vehicle tire force includes: receiving, by a controller of a vehicle, a measured vehicle acceleration of the vehicle; receiving, by the controller, a measured wheel speed and a measured yaw rate of the vehicle; forming, by the controller, inertia matrices based on an inertia of rotating components of the vehicle; calculating torques at corners of the vehicle using the inertia matrices; estimating tire forces of the vehicle based on the measured vehicle acceleration, the measured wheel speed, and the inertia matrices; and controlling, by the controller, the vehicle, based on the plurality of estimated longitudinal and lateral tire forces.

A prime mover and a method for operating a prime mover are disclosed. The prime mover, which may be a tractor, includes a drivetrain and is configured to attach to an attachment. The drivetrain includes at least one drive motor, a gearbox, at least one power take-off, and at least one ancillary unit. The prime mover has a driver assistance system that controls the drivetrain and that includes a computing unit, a memory unit, and an input/output unit. The driver assistance system comprises an engine droop governor that works based on a characteristic curve, wherein the engine droop governor is configured for optimized control of the drivetrain depending on selectable control strategies saved in the memory unit and/or optimization target variables.

A method for estimating cardan shaft moments in a vehicle includes performing a state space modelling of a physical model for force transmission in at least one drive train The at least one drive train is formed with at least one drive machine, at least one axle and at least two axle shafts each with a respective wheel. The method further includes selecting the physical model as a torsional oscillator chain in which a respective drive machine inertia moment is assigned to the respective drive train and a respective wheel inertia moment is assigned to the respective wheel. The respective drive machine inertia moment is connected by a respective spring-damper element to the respective wheel inertia moment of the respective wheel which is connected to the respective axle shaft. A vehicle mass is connected by a respective spring-damper element to the respective wheel inertia moment of the respective wheel.

Methods and systems are provided for controlling a distribution between engine and motor torques for a hybrid electric vehicle operating in a creep mode of operation in response to an engine start request. In one example, responsive to a request to start an engine while a vehicle is being propelled at a predetermined wheel creep torque via an electric motor positioned downstream of a transmission and a torque converter, coordinating an electric motor torque and an engine torque in one of a first mode, second mode, or a third mode depending on whether the electric motor can continue to provide the predetermined wheel creep torque. In this way, engine idle speed may be minimized depending on vehicle operating conditions, which may improve fuel economy.

Presented are hybrid electric vehicle (HEV) powertrains and control logic for vehicle response management, methods for making/operating HEV powertrains, and motor vehicles equipped with HEV powertrains. A method of controlling a hybrid powertrain includes receiving data indicative of a motor speed of a traction motor and torque commands for the motor, an engine, and an engine disconnect clutch (EDC). A vehicle controller uses a state observer module to estimate a jerk response based on the motor speed, and determines if the EDC is in a torque-transmitting active state. Responsive to the EDC being in the active state, the controller calculates an incremental feedback control signal that is predicted to reduce the estimated jerk based on the engine, motor, and clutch torque commands. One or more torque command signals are transmitted to the engine, motor and/or EDC to modulate a torque output thereof based on the incremental feedback control signal.

A motor torque control apparatus for a hybrid vehicle includes: a calculator for calculating a model speed of a motor, a control model speed, an anti-jerk torque, and an anti-jerk torque control factor; and a controller for controlling the calculator. At the time of LFU shifting, the controller controls a motor speed using the anti-jerk torque, determines whether the motor speed controlled using the anti-jerk torque is abnormal based on the maximum difference value between the motor speed and the model speed and a reduction in the motor speed, corrects the anti-jerk torque based on the control model speed and the anti-jerk torque control factor upon determining that the motor speed is abnormal, and controls the motor speed using the corrected anti-jerk torque.

A drive control system is provided, which is mounted on a vehicle configured to travel by operation of a driver. The drive control system includes an actuator configured to output a driving force for the vehicle to travel, an output sensor configured to detect a driving force requested by the operation of the driver, and a control device configured to control operation of the actuator based on the requested driving force detected by the output sensor. The control device sets a target output value by adding a given delay time to a requested output value set corresponding to the requested driving force, and controls the actuator so as to output the target output value based on a response characteristic of the actuator.