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.

An eco-friendly vehicle and a transmission hydraulic pressure control method for the same are provided. The vehicle includes an oil pump that estimates an inner temperature without using a temperature sensor. The method includes determining a driver request output and determining a required hydraulic pressure corresponding to the request output. A temperature of an oil pump unit is estimated to operate an electric oil pump to supply a hydraulic pressure to a transmission, based on the required hydraulic pressure and driving status information. An output torque is then adjusted based on the estimated temperature.

Systems and methods are described for electrical power control of a hybrid vehicle. A change in an electrical load of an ancillary component of the vehicle is determined. In response to determining the change in the electrical load of the ancillary component, an electrical load of an electrically heated catalyst of the vehicle is adjusted.

A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.

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.

The invention relates to a wheeled vehicle (1) comprising: a chassis (2) carrying an engine (4), a starter (5) of the engine and a device for actuating said starter (5), a control unit, and an activatable/deactivatable device for energising the control unit, said vehicle (1) having an economical operating mode in which, in the activated state of the energising device, the control unit is designed to allow the motor (4) to be stopped without actuation of the energising device, said stoppage being called energised stoppage of the engine (4). The vehicle (1) comprises a memory for storing data relating to the number of starts of the engine (4) and the control unit is designed to allow or prohibit the energised stoppage of the engine (4), in the economical operating mode, according to said stored data.

Vehicles may be composed of a relatively few number of “modules” that are assembled together during a final assembly process. An example vehicle may include a body module, a first drive module coupled to a first end of the body module, and a second drive module coupled to a second end of the body module. One or both of the drive modules may include a pair of wheels, a battery, an electric drive motor, and/or a heating ventilation and air conditioning (HVAC) system. One or both of the drive modules may also include a crash structure to absorb impacts. If a component of a drive module fails or is damaged, the drive module can be quickly and easily replaced with a new drive module, minimizing vehicle down time.

Techniques relating to training a model for detecting that a vehicle is likely to perform a cut-in maneuver are described. Computing device(s) can receive log data associated with vehicles in an environment and can detect an event in the log data, wherein an event corresponds to a cut-in maneuver performed by a vehicle. In an example, the computing device(s) can generate training data based at least in part on converting a portion of the log data that corresponds to the event into a top-down representation of the environment and inputting the training data into a model, wherein the model is trained to output an indication of whether another vehicle is likely to perform another cut-in maneuver.

A control device is capable of executing: an ignition time calculation process of calculating a target ignition time of an ignition plug; a stop process of stopping combustion control for some cylinders of a plurality of cylinders; and a compensation process of controlling a motor generator during the stop process, such that the motor generator compensates a drive power that is lost due to the stop of the combustion control. The control device prohibits the execution of the stop process when the target ignition time calculated in the ignition time calculation process is on a retard side of a predetermined prescribed time.

Disclosed herein, a driver assistance apparatus includes a detector installed in a vehicle, the detector having a view in front of a vehicle and configured to obtain detection data; and a controller including a processor configured to process the detection data; wherein the controller is configured to identify operation of a wiper of the vehicle and calculate a slip rate of the vehicle with respect to a road surface while performing an adaptive cruise control (ACC) that maintains a distance with a vehicle in front at a first distance based on the detection data, and control a driving of the vehicle to maintain the distance with the vehicle in front to a second distance greater than the first distance based on the operation of the wiper and the slip rate.