A vehicle includes an engine for applying a driving force to a vehicle wheel, a speed detector for detecting a driving speed, a slope detector for detecting a slope of a road, an input for receiving a departure command and an arrival command, and a controller, when a route addition mode is selected, acquiring and storing road condition information of a route between a departure time and an arrival time based on a driving speed and a slope of the road, which is detected from when the departure time at which the departure command is received until the arrival time at which the arrival command is received, and the controller, when a route driving mode is selected, controlling driving of the engine based on the stored road condition information of the road.

A method for the quality assurance of exhaust gas behavior in a motor vehicle, particularly in a hybrid vehicle, includes monitoring an on-board-diagnosis function; providing a journey counter a diagnosis counter, and a nominal diagnosis frequency value; incrementing the journey counter following the beginning of a driving cycle; generating an actual diagnosis frequency value using a combination of the diagnosis counter and the drive counter; and establishing a difference between the nominal diagnosis frequency value and the actual diagnosis frequency value. If the difference falls short of a threshold: a control method is selected, which is designed to successfully complete a currently running OBD of the OBD function and to initiate and complete a non-running OBD. Following the completion of the OBD of the OBD function, the diagnosis counter is incremented and the motor control restored to an original motor control.

This technology relates to dynamically detecting, managing and mitigating driver fatigue in autonomous systems. For instance, interactions of a driver in a vehicle may be monitored to determine a distance or time when primary tasks associated with operation of the vehicle or secondary tasks issued by the vehicle computing were last performed. If primary tasks or secondary tasks are not performed within given distance thresholds or time limits, then one or more secondary tasks are initiated by the computing device of the vehicle. In another instance, potential driver fatigue, driver distraction or overreliance on an automated driving system is detected based on gaze direction or pattern of a driver. For example, a detected gaze direction or pattern may be compared to an expected gaze direction or pattern given the surrounding environment in a vicinity of the vehicle.

A method for ascertaining a wheel circumference of a driven wheel of a vehicle includes measuring a rotational speed of the driven wheel during a predefined time span, measuring an acceleration of the vehicle in the direction of the longitudinal axis of the vehicle during a predefined time span, determining a distance traveled by the vehicle based on the measured acceleration, and determining the wheel circumference of the driven wheel based on the measured rotational speed and the ascertained distance traveled.

According to a control method for a hybrid vehicle that is caused to run by a drive motor as a load being supplied with electric power of a battery and electric power generated by an electric generator, a total distance to empty is calculated on the basis of a shortage of a generating power output of the electric generator with respect to a required running power output and an amount of charge remaining in the battery. Specifically, a length of time for which the shortage of the generating power output of the electric generator with respect to the required running power output is covered by the amount of charge remaining in the battery is calculated, and a distance that the hybrid vehicle can run for this length of time is set as a total distance to empty.

A hybrid vehicle including: an engine; a motor; a power storage device; and a control device configured to: i) automatically start and stop the engine; ii) execute, in a current trip, a power storage capacity decreasing control of controlling the engine and the motor such that a power storage capacity of the power storage device in a case where the hybrid vehicle is predicted to be parked at a predetermined point is lower than that in a case where the hybrid vehicle is predicted to not be parked at the predetermined point, and execute, in a next trip, a power storage capacity recovering control; and iii) limit execution of the power storage capacity decreasing control when the hybrid vehicle is predicted to be parked at the predetermined point is predicted and a stopping prohibiting condition for the engine is satisfied.

A vehicle traveling support control apparatus includes a traveling environment determining portion that determines a traveling environment of a vehicle, a support device determining portion that determines a serviceable traveling support device from one or more traveling support devices mounted in the vehicle in accordance with the traveling environment determined by the traveling environment determining portion, a presentation portion that presents support guidance of the serviceable traveling support device, and a control portion that controls the presentation portion to present the support guidance of the serviceable traveling support device based on use frequency of the serviceable traveling support device determined by the support device determining portion.

A server device can obtain historical location data, concerning a vehicle, captured by a global positioning system (GPS) device of the vehicle and historical engine control unit (ECU) data concerning the vehicle captured by an ECU of the vehicle. The server device can process the historical location data and the historical ECU data to train a machine learning model to determine a relationship between the historical location data and the historical ECU data. The server device can receive location data and ECU data concerning the vehicle and update the machine learning model based on the location data and the ECU data. The server device can receive real-time location data concerning the vehicle and derive an equivalent real-time ECU speed using the machine learning model. The server device can generate a message regarding the equivalent real-time ECU speed of the vehicle and send the message to a remote device for display.

A control system for hybrid vehicles to properly select an operating mode during autonomous operation is provided. An operating mode of the hybrid vehicle is selected from a hybrid mode and an electric vehicle mode. A controller that is configured to: determine an existence of a passenger in a vehicle compartment; select the electric vehicle mode in a case that the hybrid vehicle is operated autonomously while carrying the passenger; and select the hybrid mode in a case that the hybrid vehicle is operated autonomously without carrying the passenger.

A hybrid electric vehicle system comprises an internal combustion (IC) engine and an electric engine providing power to a drive shaft of the vehicle. The IC engine receives a fuel from a fuel tank. Exhaust gases from the IC engine are treated at an exhaust treatment apparatus including a reagent tank containing a reagent. A controller monitors a quality of the fuel in the fuel tank and the reagent in the reagent tank and if needed, initiates fuel degradation reduction event or a reagent degradation reduction event. These events can include running the IC engine even if a battery supplying power to the motor is not discharged. The fuel degradation reduction event includes dosing the fuel tank with an antioxidant to reduce the rate of degradation of the fuel.