An approach is provided for presenting a feedforward cue in a user interface before an upcoming vehicle event occurs. The approach involves retrieving map data covering an upcoming area in which a vehicle is to travel. The approach also involves extracting a feedforward cue from the map data, wherein the feedforward cue preemptively indicates an upcoming vehicle event that can have an effect on an experience that a user has while engaged in a non-driving activity in the vehicle. The approach further involves providing data for presenting the feedforward cue in a user interface before the upcoming vehicle event occurs.

A vehicle control device includes a processor and a drive motor. The processor may identify whether a host vehicle is in situation where the host vehicle is avoiding a collision, identify a first control amount and a second control amount, and adjust a front wheel control amount, or a rear wheel control amount, such that the front wheel control amount and the rear wheel control amount fall within the specified control amount range based on the front wheel control amount which is identified according to the first control amount and the second control amount and is a control amount of a drive motor that controls the front wheel, the rear wheel control amount which is identified according to the first control amount and the second control amount and is a control amount of a drive motor that controls the rear wheel, and the specified control amount range.

A feedforward control method for an electrified powertrain including a torque transfer device arranged between an electric motor and a transmission includes monitoring a set of operating parameters of the electrified powertrain, determining a desired input speed for the torque transfer device based on the set of operating parameters, determining a desired input torque for the torque transfer device based on a characteristics model or map of the torque transfer device and the desired input speed, performing an observer-based determination of a final feedforward torque for the torque transfer device based on the desired input speed, the desired input torque, a filtered actuator achieved torque for the electric motor, and minimum and maximum torque limits for the transmission, and controlling the electric motor based on the final feedforward torque for the torque transfer device.

A travel controller executes a first correction process on a request value when the vehicle is traveling on an uphill road, and executes a second correction process on the request value when the vehicle is traveling on a downhill road. The first correction process corrects the request value such that the traveling speed is higher than that in a case in which the first correction process is not executed. The second correction process corrects the request value such that the traveling speed is lower than that in a case in which the second correction process is not executed. If hard braking of the vehicle is requested during execution of the first correction process, the travel controller sets a correction amount of the request value to a lower value than that in a case in which hard braking of the vehicle is not requested.

A vehicle travel control device executes trajectory following control to make the vehicle follow a target trajectory. A delay time represents control delay of the trajectory following control. A delay compensation time is at least a part of the delay time. The trajectory following control includes: displacement estimation processing that estimates a displacement of the vehicle in the delay compensation time; and delay compensation processing that corrects a deviation between the vehicle and the target trajectory based on the estimated displacement to compensate the control delay. The displacement estimation processing is effective in an effective period and ineffective in an ineffective period. When the ineffective period is included in the delay time of the trajectory following control, the displacement estimation processing is executed in a temporary mode by using sensor-detected information in the effective period without using the sensor-detected information in the ineffective period.

An apparatus of determining a target steering angle, may include: a feedforward steering angle calculator configured for determining a feed forward steering angle reflecting a yaw moment generated by torque vectoring during turning driving of an electric vehicle in autonomous driving; and an adder configured for obtaining a target steering angle by adding the determined feedforward steering angle to a feedback steering angle, the feedback steering angle being a steering angle measured through a steering angle sensor.

A system and method for electric vehicle operational optimization is disclosed. The system comprises a memory storing processor-executable instructions and a processor, communicably coupled with the memory. The system obtains input data and predict health and performance parameters. The system generates computer simulated instances which emulate a behavior and a performance of the electric vehicle. The system, further, validates the health and the performance parameters by simulating the computer simulated instances in a virtual environment. The system determines a behavior status, a performance status and a health status of the electric vehicle. Thereafter, the system determines abnormality associated with the electric vehicle, followed by determining action for rectifying the abnormality. Consequently, the system controls an operation by performing the determined action at the electric vehicle.

A method is for operating a vehicle which has actuators for influencing a driving behavior of the vehicle. The method includes sensing a setpoint for the driving behavior, in particular a steering angle set by a driver, and depending on the setpoint for the driving behavior, a first pilot control variable is determined using a model for the vehicle. Depending on the first pilot control variable, a second pilot control variable is determined using at least two partial models for the driving behavior of the vehicle, which differ due to the use of at least one of the actuators. Depending on the first pilot control variable and depending on the second pilot variable, a first setpoint for a first actuator is determined. The first setpoint is output in order to actuate the first actuator.

In an embodiment a control apparatus includes a processor configured to calculate a target curvature depending on a target path of a vehicle, calculate a first lateral control value based on a feedforward control by using the target curvature, calculate a second lateral control value based on a feedback control by using vehicle information collected from a sensing device of the vehicle, estimate a disturbance by using the vehicle information collected from the sensing device of the vehicle, and calculate a final lateral control command value by summing the first lateral control value, the second lateral control value, and the disturbance and a storage configured to store data and algorithms driven by the processor.

Methods and systems are provided for operating a powertrain of a vehicle. In one example, the powertrain may include a first torque source, a second torque source, and an automatic transmission. The powertrain may further include a first controller configured to control the first torque source and a second controller configured to control the second torque source. The second controller stores instructions in non-transitory memory that when executed cause the second controller to command the first controller to control a torque of the first torque source via a feedforward torque value of the second torque source calculated at the second controller which is adjusted based on a degree of difference between a proximity term and a difference between the torque of the first torque source and a first torque source limit, the first torque source limit calculated at the second controller.