A method and system for applying vehicle settings to a vehicle. The method and system include receiving a device identification (ID) from at least one of: a first portable device and a second portable device. The method and system additionally include identifying a user settings profile that is associated to the device ID. The method and system also include determining if the user settings profile has been updated since a last ignition cycle of the vehicle. The method and system further include applying the user settings profile to control a vehicle system, wherein the user settings profile is retrieved from at least one of: a central user settings data repository, a telematics unit of the vehicle, and a head unit of the vehicle.

Vehicles can be operated according to an artificial intelligence model contained in an on-board processor. The AI model can analyze sensor data, such as visible or infrared images of traffic, and determine when a collision is possible, whether it has become imminent, and whether the collision is avoidable or unavoidable using sequences of accelerations, braking, and steering. The AI model can also select the most appropriate sequence of actions from a large plurality of calculated sequences to avoid the collision if avoidable, and to minimize the harm if unavoidable. The AI model can also cause a processor to actuate linkages connected to the throttle (or electric power control), brakes (or regenerative braking), and steering to implement the selected sequence of actions. Thus the collision can be avoided or mitigated by an ADAS system or a fully autonomous vehicle.

An autonomous or semi-autonomous vehicle can detect an imminent collision according to sensor data and responsively select an action or a sequence of actions to avoid the collision if avoidable, and to reduce or minimize the harm of the collision if unavoidable. An artificial intelligence model may be used to process the sensor data, detect the imminent collision, and select the collision avoidance action or actions, or the harm-reduction or harm-minimization action or actions. For example, when the collision is considered unavoidable, the vehicle may apply the brakes to reduce the vehicle's speed and therefore, the severity of the impact. When the collision is considered avoidable, the vehicle may automatically apply steering to avoid the potential collision, such as when the vehicle is departing a lane and may collide with a vehicle traveling in the same or opposite direction.

A system and method to avoid collisions on highways, and to minimize the fatalities, injury, and damage when a collision is unavoidable. The system includes sensor means to detect other vehicles, and computing means to evaluate when a collision is imminent and to determine whether the collision is avoidable. If the collision is avoidable by a sequence of controlled accelerations and decelerations and steering, the system implements that sequence of actions automatically. If the collision is unavoidable, a different sequence is implemented to minimize the overall harm of the unavoidable collision. The system further includes indirect mitigation steps such as flashing the brake lights automatically. An optional post-collision strategy is implemented to prevent secondary collisions, particularly if the driver is incapacitated. Adjustment means enable the driver to set the type and timing of automatic interventions.

A method and system for applying vehicle settings to a vehicle that include storing at least one user settings profile on a plurality of components associated with the vehicle based on a computing device that is used to create or update the at least one user settings profile. The system and method also include determining if the at least one user settings profile has been updated since a last ignition cycle of the vehicle. The system and method further include selecting the at least one user settings profile to be applied to control a vehicle system of the vehicle from at least one component of the plurality of components based on if the at least one user settings profile has been updated since the last ignition cycle of the vehicle and on a connection of at least: a first portable device and a second portable device to the vehicle.

A first vehicle in traffic can use machine learning and artificial intelligence to detect an imminent collision with a second vehicle or other object. A well-trained AI algorithm can select a sequence of actions (braking, swerving, or acceleratingdepending on the specific kinetics) to avoid the collision if possible, and to reduce or minimize the harm if unavoidable. With proper training, the AI model may also infer the intent and future actions of the second vehicle, as well as potential interference of other traffic agents. A good algorithm can also infer the intent of the driver of the first vehicle, for example based on prior driving habits. The AI algorithm may be implemented in a processor on the subject vehicle, potentially in communication with another processor at a fixed site such as a local access point or a central supercomputer. With super-fast AI solutions, lives will be saved!

A two-wheeled vehicle having a first spring device of a front wheel and a second spring device of a rear wheel, and at least one acceleration and rate-of-rotation sensor, which are situated on a vehicle frame and are operationally connected to a control device, wherein the first and the second spring devices are provided with a spring travel sensor in each case, which are operationally connected to the control device.

A method of controlling energy regeneration for a mild hybrid vehicle, the mild hybrid vehicle including a mild hybrid starter generator (MHSG) that includes a rotor having a permanent magnet and an electromagnet, and engine that is connected to the MHSG for power transmission, may include determining whether a difference between an excitation current required to drive the MHSG and a desired amount of generated current is less than a predetermined reference value; and prohibiting regenerative braking when a difference between the excitation current required to drive the MHSG and the desired amount of generated current is less than the predetermined reference value.

A power supply apparatus of a vehicle includes: an engine and a first MG; a battery; a converter stepping up a voltage of the battery and supplying the stepped-up voltage to an inverter of the vehicle; and a control device controlling the converter in a continuous voltage step-up mode in which the converter is continuously operated and an intermittent voltage step-up mode in which the converter is intermittently operated. The control device estimates an SOC of the battery based on battery current IB flowing into and out of the battery, and forces the battery to be charged by the engine and the first MG when an estimate value of the SOC is lower than a predetermined lower limit. The control device suppresses an operation of the converter in the intermittent voltage step-up mode to a greater extent as the estimate value of the SOC is closer to the lower limit.

A computer is programmed to receive a message from a second vehicle indicating a fault in a second vehicle component. The computer is further programmed to modify an area of control of the first vehicle to include a location of the second vehicle, and to provide a control instruction to the second vehicle.