A method is for determining a steering roll radius of a vehicle. The method includes the following steps: during a journey, initiating an asymmetrical braking maneuver on a steered axle of the vehicle, in which a first braking force is supplied to a first wheel of the steered axle, which is greater than a second braking force supplied to the other wheel of the steered axle, during the braking maneuver, detecting a steering command signal input from the driver or a vehicle system and a steering torque applied to the wheels of the braked axle, evaluating the asymmetrical braking maneuver as a function of determined data, determining at least a sign of the steering roll radius of at least the first wheel as a function of the evaluation.

Provided is an advanced driver assist system (ADAS) and a vehicle having the same. The ADAS includes: a communicator configured to communicate with a plurality of other vehicles; an obstacle detector configured to detect an obstacle in a surrounding and output obstacle information about the detected obstacle; and a controller configured to acquire distance information about a distance to a second vehicle travelling in the surrounding of the first vehicle among the obstacles based on the obstacle information detected by the obstacle detector during a cruise control mode, acquire travel information and position information of a third vehicle travelling in the surrounding of the second vehicle based on information received through the communicator, and controlling acceleration and deceleration based on the distance information with respect to the second vehicle, the travel information of the third vehicle, and the position information of the third vehicle.

A control method for monitoring and responding to hacking into a vehicle, which may monitor whether hacking is performed by cross-checking preset check values for each ID with each other in a state where a plurality of controllers mounted in an autonomous vehicle is connected like a blockchain, and response-control the vehicle in a safe state upon determining that a specific controller is hacked as a result of monitoring.

Methods for controlling vacuum within a brake booster by modifying powertrain operation include determining an intake manifold vacuum in response to actuation of a brake pedal. Increasing the intake manifold vacuum if the brake booster vacuum is less than a desired brake booster vacuum. In some embodiments, the transmission is downshifted to increase engine speed and intake manifold vacuum. In other embodiments, engine torque is reduced to increase intake manifold vacuum and the torque of the electric machine is increased to maintain a constant output torque.

A wheel action-based active suspension damping adjustment apparatus recognizes wheel actions through a steering apparatus, distance measuring apparatuses and force sensors and calculates an action damping magnitude according to damping parameters determined by different wheel actions, thereby achieving optimal adjustment under different actions. The changes in an inclination angle of a vehicle cabin floor and a vertical acceleration are monitored by using an inclination angle sensor and acceleration sensors, and meanwhile, an inclination angle damping and an acceleration damping are determined according to exceeding amplitudes, and a total damping of active suspensions is fed back and corrected, thereby further enhancing an adjustment and control effect of the active suspensions. According to the method, basic damping, action damping, inclination angle damping and acceleration damping data is output and recorded, and classified according to a vehicle state and the wheel actions, data changes under a same classification are compared.

A control device for a vehicle includes one or more processors configured to: perform feedback control on an acceleration of the vehicle by controlling a driving force of an internal combustion engine mounted on the vehicle based on a difference between a requested acceleration of the vehicle from an application and an actual acceleration of the vehicle; calculate a first predicted acceleration that is a predicted acceleration of the vehicle on an assumption that the internal combustion engine is controlled into a fuel-cut state; and control the internal combustion engine into the fuel-cut state without performing the feedback control when a coasting condition that is predetermined is satisfied and the first predicted acceleration is equal to or higher than a lower limit value that is predetermined as a negative value.

A wheel action-based active suspension damping adjustment apparatus recognizes wheel actions through a steering apparatus, distance measuring apparatuses and force sensors and calculates an action damping magnitude according to damping parameters determined by different wheel actions, thereby achieving optimal adjustment under different actions. The changes in an inclination angle of a vehicle cabin floor and a vertical acceleration are monitored by using an inclination angle sensor and acceleration sensors, and meanwhile, an inclination angle damping and an acceleration damping are determined according to exceeding amplitudes, and a total damping of active suspensions is fed back and corrected, thereby further enhancing an adjustment and control effect of the active suspensions. According to the method, basic damping, action damping, inclination angle damping and acceleration damping data is output and recorded, and classified according to a vehicle state and the wheel actions, data changes under a same classification are compared.

An embodiment method for controlling an electric vehicle includes determining whether a function is operated in a reservation mode before a driver gets into the electric vehicle, determining whether the driver getting into the electric vehicle has been completed based on a preset condition, searching for an authentication mechanism inside the electric vehicle, and switching from the reservation mode to a start mode based on the authentication mechanism.

Among other things, systems and methods are described for brake arbitration. Safe stop requests are obtained. A safe stop request is associated with a deceleration value of a vehicle in motion. Safe stop activations associated with the safe stop request are determined, wherein the safe stop activations are associated with predetermined deceleration values. An automated emergency (AEB) system deceleration command is calculated. Arbitration is performed between the deceleration values associated with the safe stop request, predetermined deceleration values associated with the safe stop activations, and the deceleration value calculated from data captured by the AEB system to determine a final deceleration output.

In some examples, a controller receives measurement data from a sensor on a vehicle, determines, based on the measurement data, a condition of usage of the vehicle, and selects a parameter set from among a plurality of parameter sets based on the determined condition of usage of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller causes application of the selected parameter set on the vehicle.