A control device, for a hybrid vehicle including an engine, a torque converter, a transmission, a motor, a mechanical oil pump, and a starter, includes a traveling mode determination unit, an acquisition unit, a vehicle speed determination unit, and a control unit.

A system for improving performance or efficiency of operation of a vehicle. The system includes a sensor configured to detect current vehicle speed data and current vehicle slope data. The system includes a pedal control unit configured to detect current pedal position data. The system includes an electronic control unit (ECU) configured to determine expected driving power demand based on current vehicle speed data and vehicle slope data. The ECU is configured to determine detected driving power demand based on current pedal position data. The ECU is configured to detect a drafting condition when the expected driving power demand exceeds the detected driving power demand. The ECU is configured to adjust, when the drafting condition is detected, at least one of a chassis control setting, an engine control setting, a transmission control setting, or a hybrid control setting to improve performance or efficiency of operation of the vehicle.

Systems and methods for operating a hybrid vehicle having an internal combustion engine are presented. In one example, the internal combustion engine is operated in a speed control mode and torque of an electric machine is adjusted so that a possibility of an engine speed controller saturating may be reduced.

Methods and systems for tuning vehicle drivability are provided. The vehicle system includes, in one example, a vehicle control unit (VCU) that is designed to electronically communicate with a human machine interface (HMI). In the system, the VCU is designed to, in reaction to receiving an acceleration or deceleration request from the HMI, send a virtual acceleration or deceleration command to a transmission control unit (TCU), where the virtual acceleration or deceleration command correlates to the acceleration or deceleration request and the correlation is user adjustable via a user interface (UI) of the VCU.

A control system of a vehicle includes a driving source configured to generate a driving force of the vehicle and transmit the driving force to driving wheels, without intervention of a torque converter, a transmission provided between the driving source and the driving wheels, a friction engagement element used for starting the vehicle, the friction engagement element being provided between the driving source and the driving wheels so as to be engageable and disengageable, and a controller configured to control an engaging force of the friction engagement element to adjust the driving force transmitted from the driving source to the driving wheels. The controller sets a target acceleration of the vehicle based on a rotational speed difference between an input rotational speed and an output rotational speed of the transmission, and controls the engaging force based on the target acceleration.

A mean of real-time accelerator pedal output of a vehicle that quantifies an extent to which an accelerator pedal has been pressed by a driver of the vehicle over a defined period of time is determined. Target mean accelerator pedal output for the vehicle is determined. Torque of the vehicle is changed. The torque is reduced when the mean of the real-time accelerator pedal output is lower than the target mean accelerator pedal output, and the torque is increased when the mean of the real-time accelerator pedal output is higher than the target mean accelerator pedal output.

A method may include monitoring, by a processor associated with an autonomous vehicle, a status of a traffic light. The method may include monitoring, by the processor, a movement status of at least one vehicle within a same lane as the autonomous vehicle, the at least one vehicle having a stationary position in relation to the traffic light. The method may include executing, by the processor, a computer model to predict a change of movement status for the at least one vehicle in accordance with the status of the traffic light. The method may include in response to the computer model predicting a change of movement status for the at least one vehicle from the stationary position to a moving status, instructing, by the processor, the autonomous vehicle to increase a torque value of the autonomous vehicle at a predetermined time before the change of the movement status.

A method may include monitoring, by a processor associated with an autonomous vehicle, a status of a traffic light. The method may include monitoring, by the processor, a movement status of at least one vehicle within a same lane as the autonomous vehicle, the at least one vehicle having a stationary position in relation to the traffic light. The method may include executing, by the processor, a computer model to predict a change of movement status for the at least one vehicle in accordance with the status of the traffic light. The method may include in response to the computer model predicting a change of movement status for the at least one vehicle from the stationary position to a moving status, instructing, by the processor, the autonomous vehicle to increase a torque value of the autonomous vehicle at a predetermined time before the change of the movement status.

A method may include monitoring, by a processor associated with an autonomous vehicle, a status of a traffic light. The method may include monitoring, by the processor, a movement status of at least one vehicle within a same lane as the autonomous vehicle, the at least one vehicle having a stationary position in relation to the traffic light. The method may include executing, by the processor, a computer model to predict a change of movement status for the at least one vehicle in accordance with the status of the traffic light. The method may include in response to the computer model predicting a change of movement status for the at least one vehicle from the stationary position to a moving status, instructing, by the processor, the autonomous vehicle to increase a torque value of the autonomous vehicle at a predetermined time before the change of the movement status.

An adaptive feedforward control method for an electrified powertrain including a torque converter includes determining a desired input speed for a torque converter based on the set of operating parameters of the electrified powertrain, determining minimum and maximum torques for an impeller of the torque converter based on the set of operating parameters of the electrified powertrain, determining a raw feedforward torque for the torque converter impeller based on the desired input speed for the torque converter and a speed of a turbine of the torque converter, determining a final feedforward torque for the torque converter impeller based on the raw feedforward torque for the torque converter impeller and the minimum and maximum torques for the torque converter impeller, and controlling an electric motor of the electrified powertrain based on the final feedforward torque for the torque converter impeller.