A method for controlling autonomous driving in an autonomous vehicle includes detecting an autonomous driving-related critical situation during the autonomous driving, outputting a notification message requesting a control-right handover from an autonomous driving system to a human driver when the autonomous driving-related critical situation is detected, and activating a minimal risk maneuver (MRM) driving mode to deactivate the autonomous driving system when the control-right handover is not successful. In particular, when the minimal risk maneuver (MRM) driving mode is activated, the deactivated state of the autonomous driving system is maintained until an engine-restart of the autonomous vehicle is detected.

System and method for safe over-the-air (OTA) update of electronic control units in vehicles are provided. The method includes checking whether a vehicle condition allows firmware update of an electronic control unit in a vehicle. If the vehicle condition allows the firmware update, the method includes causing a telematics device to complete the firmware update for the electronic control unit.

Systems and methods for starting an engine of a hybrid vehicle are described. In one example, the method starts an engine according to vehicle conditions that are within a range that is defined by one or more thresholds. The thresholds may be adjusted based on a history of individual driving patterns.

A computer includes a processor and a memory storing instructions executable by the processor to identify a virtual boundary between a host roadway lane of a host vehicle and a target roadway lane of a target vehicle, the virtual boundary based on a predicted path of the target vehicle, determine a first constraint value based on a boundary approach velocity of the target vehicle, determine a second constraint value based on (1) a boundary approach velocity of the host vehicle and (2) a boundary approach acceleration of the host vehicle and perform a threat assessment of a collision between the host vehicle and the target vehicle upon determining that the first constraint value violates a first threshold or the second constraint value violates a second threshold.

Excess fuel consumption monitor and feedback systems for vehicles include sensor arrays of two primary types including those sensors deployed as part of a vehicle manufacturer established sensor suite and sensors deployed as after-market sensors. Together, these sensor suites include sensors coupled to vehicle subsystems and operating environments associated with the vehicle. Data from these sensors may be used as parametric inputs to drive algorithmic calculations which have outputs that express excess fuel consumption. Expressions of excess fuel consumption may be made instantaneously as real-time feedback to a vehicle operator/driver and/or a fleet manager as part of a summary report.

Embodiments of an intelligent hybrid powertrain system include an engine, a controller architecture, and an electric drive subsystem having a battery supply and a motor/generator. The controller architecture is configured to: (i) monitor a current state of charge (SoC) of the battery supply when the combine harvester engages in a combine harvest cycle having a tank fill phase and a tank unload phase; (ii) during the tank fill phase, operate the motor/generator to supplement the engine power output and regulate a rate of battery discharge to prevent the current SoC of the battery supply from decreasing below a lower predetermined SoC threshold prior to completion of the tank fill phase; and (iii) during the tank unload phase, operate the motor/generator to charge the battery supply until the current SoC of the battery supply is equal to or greater than a first upper predetermined SoC threshold.

A vehicle control device includes an electronic control unit configured to: enlarge the detection range, when the electronic control unit determines that a current deceleration support control is control for passing the object; set a new target deceleration of the host vehicle when a new object with a possibility of collision with the host vehicle has been detected in the enlarged detection range; determine whether an interval from an ending time of the current deceleration support control to a starting time of the next deceleration support control is less than a threshold value, when the electronic control unit determines that the next deceleration support control is control for passing the new object; and perform one of the inter-vehicle distance control and acceleration support control from the ending time to the starting time, when the electronic control unit determines that the interval is less than the threshold value.

A vehicle control device includes an electronic control unit configured to: enlarge the detection range, when the electronic control unit determines that a current deceleration support control is control for passing the object; set a new target deceleration of the host vehicle when a new object with a possibility of collision with the host vehicle has been detected in the enlarged detection range; determine whether an interval from an ending time of the current deceleration support control to a starting time of the next deceleration support control is less than a threshold value, when the electronic control unit determines that the next deceleration support control is control for passing the new object; and perform one of the inter-vehicle distance control and acceleration support control from the ending time to the starting time, when the electronic control unit determines that the interval is less than the threshold value.

A motor control device according to an embodiment includes a hardware processor configured to: calculate a first torsion torque generated by a motor shaft according to fluctuation of an engine torque based on a difference between a motor angle as a rotation angle of the motor shaft and a shaft angle as a rotation angle of a transmission shaft of a transmission on the downstream side of a damper; calculate a first vibration damping torque to be output by a motor generator to damp vibration of the motor shaft based on the first torsion torque and a drive state value indicating a drive state of an engine; and output a motor torque command value to be provided to the motor generator based on the first vibration damping torque.

The present invention relates to an artificial intelligent vehicle, and to a vehicle control device and a control method thereof estimating and recommending a destination of a driver boarded on a vehicle, including: a memory including driving path information of the vehicle, and when an engine of the vehicle is started, among the travel path information, a processor detecting at least one first driving path information based on a location of the vehicle and a time at which the engine is started, calculating an estimated probability for each of the first destinations extracted from each of the first driving path information, and controlling the vehicle so that at least one of the first destinations is output as an estimated destination based on the calculated estimated probability.