Fuzzy-logic based traction control for electric vehicles is provided. The system detects a wheel slip ratio for each wheel. The system receives an input torque command. The system determines a slip error for each wheel based on the wheel slip ratio for each wheel and a target wheel slip ratio. The system, using the fuzzy-logic based control selection technique, selects a traction control technique from one of a least-quadratic-regulator, a sliding mode controller, a loop-shaping based controller, or a model predictive controller. The system generates a compensation torque value for each wheel. The system generates the compensation torque value based on the traction control technique selected via the fuzzy-logic based control selection technique and the slip error for each wheel. The system transmits commands to actuate drive units of the vehicles based on the compensation torque value.

A vehicle includes a drive wheel, an engine, an accelerator pedal, a torque converter, a clutch, and a controller. The drive wheel is configured to propel the vehicle. The engine is configured to generate power and to deliver power to the drive wheel to accelerate the vehicle. The accelerator pedal is configured to generate an acceleration request based on a pedal position. The torque converter is disposed between the engine and the drive wheel. The clutch is disposed between the engine and the drive wheel and is configured to bypass the torque converter. The controller is programmed to, in response to depressing the accelerator pedal to a position that corresponds with accelerating the vehicle at a desired magnitude, adjust the torque of the engine to accelerate the vehicle at the desired magnitude, regardless of the state of the clutch.

Methods and systems are provided for adjusting driver demand wheel torque of a vehicle. The driver demand wheel torque may be adjusted as a function of a minimum wheel torque. The minimum wheel torque may be determined according to a plurality of torques that may be evaluated in three different phases.

A vehicle and a method of controlling turning thereof are provided. The turning control method of a vehicle includes calculating first compensation torque based on a lateral acceleration variation during turning, determining first compensated demanded torque by applying the first compensation torque to demanded torque, determining second compensation torque for preventing wheel slip of a driving wheel based on the first compensated demanded torque and an actual vehicle behavior, and determining second compensated demanded torque input to a driving source controller by applying the second compensation torque to the first compensated demanded torque.

A method for assignment of vehicle control includes receiving route data indicating a route between a starting location of a vehicle and a destination location, and determining an optimal vehicle configuration for the route based on a target vehicle speed and a hybrid torque split. The method further includes receiving a driver requested torque value and determining a passive pedal torque value based on the route data and vehicle powertrain data. The method further includes selectively assigning control of the vehicle to a vehicle system or to a driver of the vehicle based on the driver requested torque value and the passive pedal torque value.

A method for controlling actuators acting on vehicle wheels of a motor vehicle comprises ascertaining a force to be brought about on a reference point of the motor vehicle on the basis of driver specifications, ascertaining wheel forces to be brought about on the vehicle wheels to implement the force to be brought about on the reference point of the motor vehicle by means of a first dynamic allocation by model-based predictive control (MPC), ascertaining setpoint values for wheel parameters from the ascertained wheel forces, and actuating the actuators of the motor vehicle so as to implement the setpoint values of the wheel parameters.

A vehicle control apparatus has a steering wheel 6, an engine 4 for outputting a driving force of a vehicle 1, a brake apparatus 16 capable of applying different braking forces to left and right wheels, and a PCM 14 including a processor and the like. When executing vehicle yaw control, which controls the brake apparatus 16 to apply to the vehicle 1 a yaw moment in the direction opposite to the yaw rate generated in the vehicle 1, after executing vehicle attitude control for reducing an output torque of the engine 4 based on a turning operation of the steering wheel 6, when the control amount of the vehicle attitude control is large, the PCM 14 increases the control amount of the vehicle yaw control compared to when the control amount of the vehicle attitude control is not large.

A method of providing automated application of turn radius reduction in a driver assist mode may include receiving steering wheel angle and wheel speed information to determine a target wheel slip during a turn. The method may further include comparing the target wheel slip to a current wheel slip to determine a slip error, and applying braking torque to an inside wheel based on the slip error to reduce the turn radius.

A vehicle includes a powertrain and a controller. The controller, responsive to a parameter indicative of a grade on which the vehicle is travelling having a value greater than a threshold, and a given accelerator pedal input, commands the powertrain to produce an amount of drive torque for the vehicle that is based on the value.

Methods and systems are provided for controlling and diagnosing a mechanical vehicle component. In one example, a method may include determining an input device state and an electric machine torque at a diagnostic controller, and identifying a fault condition based on these determinations. Further, the diagnostic controller may trigger an active fault state of the mechanical vehicle component to avoid unintended vehicle acceleration, particularly at low speeds.