A method for detecting a situation of loss of grip of a vehicle provided with a steering system operated by a steering wheel, the method including a step (a) of evaluating a first indicator of loss of grip (P1) by calculating, as the first indicator of loss of grip (P1), the partial derivative $\left(P1=\frac{\stackrel{.}{}}{}\right),$
relative to a variable () representative of the angular position of the steering wheel, of a driving parameter which is representative of the yaw rate ({dot over ()}) of the vehicle.

A method for adjusting one or more vehicle dynamics systems of a vehicle, the vehicle comprising a road wheel and at least one vehicle sensor configured to provide vehicle condition data, the road wheel comprising a tyre sensor configured to output tyre operation data, the method comprising: receiving tyre operation data from the tyre sensor; receiving vehicle condition data from at least one vehicle sensor; calculating one or more vehicle dynamics parameters based on the vehicle condition data and the tyre operation data; and adjusting one or more vehicle dynamics systems in response to the calculated one or more vehicle dynamics parameters.

A safety device for a vehicle includes a sensor system and an evaluation and control unit that is coupled to the sensor system via an interface and that evaluates information from the sensor system in order to detect objects in the area ahead of the vehicle, calculates, on the basis of the information from the sensor system, a likely impact point of a detected object and/or a likely amount of overlap of the detected object and the vehicle, brings the vehicle into a defined slide-off position by way of a targeted intervention into the vehicle dynamics when the calculated likely impact point and/or the calculated amount of overlap satisfies at least one predefined condition.

System, methods, and other embodiments described herein relate to skid recovery for a vehicle. In one embodiment, a method for controlling a vehicle during skid includes obtaining data indicating a skid condition of the vehicle, determining whether the skid condition can be corrected by counter-steering, and executing an intervention when the skid condition cannot be corrected by counter-steering, the intervention including inducing slippage in front wheels of the vehicle to change a direction and/or magnitude of lateral forces at the front wheels.

A set of driving scenarios are determined for different types of vehicles. Each driving scenario corresponds to a specific movement of a particular type of autonomous vehicles. For each of the driving scenarios of each type of autonomous vehicles, a set of driving statistics is obtained, including driving parameters used to control and drive the vehicle, a driving condition at the point in time, and a sideslip caused by the driving parameters and the driving condition under the driving scenario. A driving scenario/sideslip mapping table or database is constructed. The scenario/sideslip mapping table includes a number of mapping entries. Each mapping entry maps a particular driving scenario to a sideslip that is calculated based on the driving statistics. The scenario/sideslip mapping table is utilized subsequently to predict the sideslip under the similar driving environment, such that the driving planning and control can be compensated.

A vehicle and method for controlling the same may include a speed detector configured to detect driving speed of the vehicle, a detection sensor configured to detect a target vehicle around the vehicle and obtain information about at least one of position and speed of the target vehicle, and a controller configured to determine a steering-based avoidance path for the vehicle to avoid the target vehicle by being steered, determine a maximum lateral acceleration of the vehicle for the vehicle to avoid the target vehicle in the steering-based avoidance path, and send a control signal for steering-based avoidance of the vehicle to avoid a collision with the target vehicle based on the determined maximum lateral acceleration.

Methods and systems are provided for operating a driveline of a hybrid vehicle that includes an internal combustion engine, an electric machine, and a transmission are described. In one example, torque output from the engine and the electric machine is adjusted to provide controlled vehicle side slip during cornering by a vehicle.

An object is to provide an attitude control system that can suppress an understeering characteristic when a vehicle such as an automobile travels in a medium-speed or low-speed range. A vehicle drives front wheels, and controls steering angles of the front wheels and steering angles of rear wheels. In an attitude control system to be mounted on the vehicle, a control amount detecting unit detects an operation amount of an accelerator pedal operated by a driver of the vehicle. A driving force estimating unit estimates a driving force generated on the front wheels based on the operation amount of the accelerator pedal. A rear-wheel steering angle determining unit determines a rear-wheel steering angle instruction value for controlling steering angles of the rear wheels based on an estimated front-wheel driving force that is the driving force estimated by the driving force estimating unit.

In a control system and control method for a driving device, opposite distribution control is performed (e.g., steps 1, 4 to 7), whereby a left driving force and a right driving force are controlled such that a yaw moment in a direction opposite to a turning direction of the vehicle acts on the vehicle, whereby a left-right driving force difference is generated which is a difference between the left driving force and the right driving force. During performance of the opposite distribution control, when deceleration of the vehicle is obtained, limit control is performed (e.g., step 8), whereby the left driving force and the right driving force are controlled such that a change in the left-right driving force difference becomes smaller than a change in a left-right driving force sum, which is the sum of the left driving force and the right driving force.

A set of driving scenarios are determined for different types of vehicles. Each driving scenario corresponds to a specific movement of a particular type of autonomous vehicles. For each of the driving scenarios of each type of autonomous vehicles, a set of driving statistics is obtained, including driving parameters used to control and drive the vehicle, a driving condition at the point in time, and a sideslip caused by the driving parameters and the driving condition under the driving scenario. A driving scenario/sideslip mapping table or database is constructed. The scenario/sideslip mapping table includes a number of mapping entries. Each mapping entry maps a particular driving scenario to a sideslip that is calculated based on the driving statistics. The scenario/sideslip mapping table is utilized subsequently to predict the sideslip under the similar driving environment, such that the driving planning and control can be compensated.