Systems and methods are provided for controlling a hybrid powertrain of a hybrid vehicle, and may include: determining a value of a drive request for a combustion engine of the hybrid vehicle; determining electrical loading on batteries of the hybrid vehicle; adjusting operation of an accessory of the hybrid vehicle to reduce the electrical load of that accessory on the batteries of the hybrid vehicle when the drive request value is above a determined drive request threshold amount and the electrical loading on batteries of the hybrid vehicle is above a power loading threshold; and directing at least some of the power saved by adjusting operation of the accessory from the batteries of the hybrid vehicle to a drive motor of the hybrid vehicle to provide motive force for the vehicle.

Systems and methods are provided for controlling a hybrid powertrain of a hybrid vehicle, and may include: determining a value of a drive request for a combustion engine of the hybrid vehicle; determining electrical loading on batteries of the hybrid vehicle; adjusting operation of an accessory of the hybrid vehicle to reduce the electrical load of that accessory on the batteries of the hybrid vehicle when the drive request value is above a determined drive request threshold amount and the electrical loading on batteries of the hybrid vehicle is above a power loading threshold; and directing at least some of the power saved by adjusting operation of the accessory from the batteries of the hybrid vehicle to a drive motor of the hybrid vehicle to provide motive force for the vehicle.

A yaw stability control system is provided for a motor vehicle. The system includes one or more cameras, a plurality of wheel speed sensors, a yaw angle sensor, and a steering angle sensor. The system further includes an electric motor connected to a reaction wheel. The system further includes a processor and a memory including instructions such that the processor is programmed to: determine a desired yaw angle of the motor vehicle based on a video signal, speed signals, a yaw signal, and a steering signal. The processor is further programmed to generate an actuation signal associated with the desired yaw angle. The electric motor angularly rotates the reaction wheel at a predetermined angular rate in a predetermined rotational direction to produce a counter-acting torque that rotates the motor vehicle to the desired yaw angle, in response to the electric motor receiving the actuation signal from the processor.

Systems and methods for mix mode driving including the selection of driving operations, generation of recommendations for the assignment of the driving operations, and application of the assignment of driving operations to specific operators based on a number of factors.

Systems and methods for mix mode driving including the selection of driving operations, generation of recommendations for the assignment of the driving operations, and application of the assignment of driving operations to specific operators based on a number of factors.

A computer includes a processor and a memory, the memory storing instructions executable by the processor to collect (a) ambient weather data, (b) vehicle speed data including at least one of a vehicle speed or an engine speed, and (c) operation data of a climate control subsystem of a vehicle, input the collected data to a regression program trained to output a predicted pressure of refrigerant of the climate control subsystem, the regression program trained with previously determined ambient weather data, data of a previous vehicle speed or a previous engine speed, and previous operation data of the climate control subsystem, determine an actual pressure of the refrigerant in the climate control subsystem, and actuate a component upon determining that a difference between the predicted pressure and the actual pressure falls below threshold.

A computer includes a processor and a memory, the memory storing instructions executable by the processor to collect (a) ambient weather data, (b) vehicle speed data including at least one of a vehicle speed or an engine speed, and (c) operation data of a climate control subsystem of a vehicle, input the collected data to a regression program trained to output a predicted pressure of refrigerant of the climate control subsystem, the regression program trained with previously determined ambient weather data, data of a previous vehicle speed or a previous engine speed, and previous operation data of the climate control subsystem, determine an actual pressure of the refrigerant in the climate control subsystem, and actuate a component upon determining that a difference between the predicted pressure and the actual pressure falls below threshold.

A vehicular collision avoidance system includes a forward-viewing camera viewing through the windshield at least forward of the equipped vehicle, a rearward-sensing radar sensor sensing at least rearward of the equipped vehicle, and an electronic control unit. The vehicular collision avoidance system detects vehicles present forward and/or rearward of the equipped vehicle. Responsive to data processing of radar data captured by the rearward-sensing radar sensor, the vehicular collision avoidance system detects another vehicle approaching the equipped vehicle from the rear, determines distance between the equipped vehicle and the other vehicle, and determines speed difference between the equipped vehicle and the other vehicle. Based at least in part on the determined distance between the equipped vehicle and the other vehicle and the determined speed difference between the equipped vehicle and the other vehicle, the vehicular collision avoidance system controls the equipped vehicle to mitigate impact by the other vehicle.

A vehicular collision avoidance system includes a forward-viewing camera viewing through the windshield at least forward of the equipped vehicle, a rearward-sensing radar sensor sensing at least rearward of the equipped vehicle, and an electronic control unit. The vehicular collision avoidance system detects vehicles present forward and/or rearward of the equipped vehicle. Responsive to data processing of radar data captured by the rearward-sensing radar sensor, the vehicular collision avoidance system detects another vehicle approaching the equipped vehicle from the rear, determines distance between the equipped vehicle and the other vehicle, and determines speed difference between the equipped vehicle and the other vehicle. Based at least in part on the determined distance between the equipped vehicle and the other vehicle and the determined speed difference between the equipped vehicle and the other vehicle, the vehicular collision avoidance system controls the equipped vehicle to mitigate impact by the other vehicle.

A vehicular driver monitoring system includes an electronic control unit (ECU), memory that stores driver information, and a driver monitoring camera viewing a head of a driver present in the vehicle. When the driver is present in the vehicle, and via processing at the ECU of image data captured by the driver monitoring camera and provided to the ECU, the system recognizes the driver present in the vehicle as being one of the at least one potential driver of the vehicle having driver information stored in the memory, and the vehicular driver monitoring system accesses the driver information that is associated with the driver. Responsive to determination by the vehicular driver monitoring system that a geographical location of the accessed stored driver information corresponds to a current geographical location of the vehicle, the system generates an output for the driver that corresponds to the current geographical location of the vehicle.