A vehicle drive force control method according to the present invention includes calculating an estimated friction circle on the basis of longitudinal and lateral accelerations of a vehicle, limiting a drive force of the vehicle depending on a size of the estimated friction circle, and limiting a change rate of the size of the estimated friction circle during vehicle traveling on the basis of a tire generation force. The method further the change rate as the tire generation force increases.

Motorcycles can become unstable when operating at high speeds and at high cornering levels. For example, they can exhibit an oscillation at the rear wheel commonly known as “weave.” A system and method is provided which utilizes a high-fidelity computer simulation model of a 2- or 3-wheel motorcycle to predict operating states such as yaw rate, lateral acceleration and roll angle for a stable motorcycle at a given speed and steer angle. The operating state of a physical motorcycle can be measured and compared to that of the model at every instant in time to determine if the operating state of the physical motorcycle differs from that of the simulation model in such a way as to indicate loss of stability. The nature of that difference can then be used to intervene in the operation of the motorcycle independent of driver actions by application of brakes, modulating the engine torque or applying torques to urge the steering system in a corrective direction. Thus by comparing the physical response of the motorcycle to that of the computer model in an on-board controller these interventions can be applied at a time and intensity to stabilize the motorcycle and prevent a loss of control.

A method for damping a lateral pendular motion of a single-track motor vehicle having a front wheel, where—the presence of a pendular motion is ascertained, and—the moment of inertia of the front wheel is increased as a function of it.

A method for detecting a situation of loss of grip of a vehicle provided with a steering system operated by a steering wheel, said method being in that it comprises a step (a) of evaluating a first indicator of loss of grip (P1) comprising calculating, as the first indicator of loss of grip (P1), the partial derivative

[00001]$\left(P.Math..Math.1=\frac{\partial \stackrel{.}{\psi }}{\partial \alpha }\right),$

relative to a variable (α) representative of the angular position of the steering wheel, of a driving parameter which is representative of the yaw rate ({dot over (ψ)}) of the vehicle.

A vehicle system includes a processor with access to a memory storing instructions executable by the processor. The instructions include determining whether an autonomous host vehicle can traverse an environmental obstacle, and if the autonomous host vehicle can traverse the environmental obstacle, controlling an active suspension system in accordance with the environmental obstacle and controlling the autonomous host vehicle to traverse the environmental obstacle.

Methods and systems are provided for controlling components of a vehicle. In one embodiment, a method includes: generating a model of vehicle dynamics based on vehicle corner information; determining a control output based on the model of vehicle dynamics; and selectively controlling at least one component associated with at least one of an active safety system and a chassis system of the vehicle based on the control output.

Methods and systems are provided for controlling a component of a vehicle. In one embodiment, a method includes: receiving, by a processor, data associated with a center of gravity of the vehicle; determining, by a processor, a wheel moment adjustment command for each wheel of the vehicle based on the received data; determining, by a processor, at least one control output based on driver commands and the wheel moment adjustment command for each wheel; and selectively controlling, by a processor, at least one component associated with at least one of an active safety system and a chassis system of the vehicle based on the at least one control output.

A driving force control apparatus for controlling a driving force to be transmitted to a wheel includes a processor. The processor is configured to set, when the wheel is idled, a control amount of the driving force to be transmitted to the wheel based on a vehicle acceleration.

A system for controlling movement of a vehicle includes a user input device and computing system. The user input device dynamically controls a settings or balance of driving dynamics in a vehicle, and the user input device is configured to receive a manual input from a user. The computing system controls the settings of the vehicle driving dynamics and/or balance of the vehicle, the computing system is in data communication with the user input device and configured to change the driving dynamics balance proportionately to the manual input upon receiving an input command based on the manual input from the user input device.

A yaw rate estimation system for a vehicle includes a control receiving inputs indicative of (i) a first yaw rate determined by a yaw rate sensor of the vehicle, (ii) a second yaw rate derived from ABS wheel sensors of the vehicle, (iii) a third yaw rate derived from a lateral acceleration of the vehicle and (iv) a fourth yaw rate derived from a steering wheel angle, wheel angle and rate of change of steering wheel angle. The control is operable to process the inputs to estimate the yaw rate of the vehicle, with the estimated yaw rate derived from the inputs.