A control apparatus for a hybrid vehicle is configured to control the hybrid vehicle. The control apparatus is provided with: an arithmetic operator configured to arithmetically operate a pulsation compensating torque for compensating a pulsation component; an arithmetic operation controller configured to control the arithmetic operator (i) to arithmetically operate the pulsation compensating torque in a first cycle in a period that does not include a vertex portion in which the pulsation compensating torque is locally maximal or locally minimal and (ii) to arithmetically operate the pulsation compensating torque in a second cycle, a length of which is shorter than that of the first cycle, in a period that includes the vertex portion; and a torque controller configured to control the electric motor to output a torque including the pulsation compensating torque arithmetically operated by the arithmetic operator.

The invention relates to a method for evaluating the driving behaviour of a vehicle operator with a motor vehicle, in particular in local public transport or in inner-city traffic, preferably for use in vehicle fleets, wherein parameters for describing the driving behaviour are determined, wherein fuel consumption over time is determined as a parameter, wherein the position of the gas pedal over time is determined as another parameter, wherein vehicle operator-specific characteristic values for a drive of the vehicle operator are derived or calculated from the determined parameters, wherein the vehicle operator-specific characteristic values are compared with predefined threshold values, and wherein conclusions about the driving behaviour of the vehicle operator for the drive are drawn from the comparison of the vehicle operator-specific characteristic values with the threshold values. The invention also relates to a corresponding system for evaluating the driving behaviour of a vehicle operator with a motor vehicle.

The present disclosure relates to a driver assistance system having a controller and a method of controlling the driver assistance system. The driver assistance system may include: at least one sensor; a driving device configured to be controlled on the basis of a sensing result by the sensor; and a controller configured to control the driving device by providing a control signal generated on the basis of information from the sensor, and to determine a point to read information from the sensor in response to an event signal based on a predetermined condition provided from the sensor. Accordingly, it is possible to quickly obtain information with small load, thereby effectively controlling the system.

Provided is a travel control device for a vehicle such that comfortable and safe control for the vehicle is possible without disturbing the driver. The travel control device for the vehicle is provided with a control command computation unit for calculating a steering assist amount for assisting the steering of the vehicle and an acceleration command value for controlling braking and driving forces of the vehicle. The control command computation unit calculates an estimated lateral position of the vehicle at a gaze distance ahead of the vehicle; calculates a lateral displacement amount of the vehicle at the estimated lateral position from a target traveling path and a lateral displacement speed; calculates a steering assist amount on the basis of the lateral displacement amount and the lateral displacement speed; calculates a lateral acceleration and lateral jerk generated by the vehicle according to the steering assist amount; and calculates an acceleration command value based on the lateral acceleration and the lateral jerk.

A vehicle adjusts a distance between a subject vehicle and a front vehicle according to a height of the front vehicle. The vehicle includes a distance sensor, and a processor which determines data of the front vehicle among data obtained by the distance sensor, and maintains a distance to the front vehicle equal to or more than a predetermined distance when a longitudinal dispersion value of the determined data is a predetermined reference value or more.

A control strategy for a hybrid electric vehicle powertrain having an engine, a motor, and a transmission includes operating the powertrain according to a motor power loss term that is adapted based on battery power supplied to the motor, motor power output, and an estimated motor power loss such that the motor power loss term changes over time and converges to a constant value to thereby be indicative of actual motor power loss.

The present invention relates to a method for determining an operating strategy for a range extender (10) of an electric vehicle (100) having an electric motor (20) and an electrical energy store (30), with the following method steps: detecting (S1) at least one operating parameter of a first type associated with the range extender (10) and at least one operating parameter of a second type associated with the electric motor (20) and/or the electrical energy store (30); and determining (S2) the operating strategy for the range extender (10) by restricting a usage level of the range extender (10), wherein the restriction of the usage level is determined on the basis of the at least one detected operating parameter of the first type and/or the at least one detected operating parameter of the second type.

An abnormality detection device includes: a time window process part configured to divide, by time windows, each of a plurality of vehicle signals each including a time-series data and to extract the data included in the time window; a learning part configured to create learned information via learning using the time-series data in the vehicle signal divided by the time windows; and an abnormality degree calculation part configured to reconstruct the time-series data in the vehicle signal divided by the time windows, based on the learned information, thereby calculate an error between before and after the reconstruction, and further calculate an abnormality degree of the vehicle signal based on the calculated error and the learned information.

Disclosed herein is an apparatus for driving assistance. The apparatus includes at least one memory configured to store a program for identifying a guardrail, and at least one processor configured to execute the stored program and identify the guardrail based on detection data indicating information about an surrounding environment of a vehicle and behavior data indicating information about behavior of the vehicle, and the at least one processor identifies the guardrail by applying a Gaussian noise model to the detection data.