Systems and methods are provided herein for operating an electric vehicle in a vehicle yaw mode. The electric vehicle includes a normal driving mode where the electric vehicle is steered by turning the steerable wheels (e.g., left or right) and vehicle yaw mode where the vehicle controls the torque applied to each wheel. In response to receiving input to initiate vehicle yaw mode and yaw direction, the system determines the inner wheels and the outer wheels and provides forward torque to the outer wheels of the vehicle and backward torque to the inner wheels of the vehicle to rotate the vehicle.

Systems and methods are provided herein for operating an electric vehicle in a vehicle yaw mode. The electric vehicle includes a normal driving mode where the electric vehicle is steered by turning the steerable wheels (e.g., left or right) and vehicle yaw mode where the vehicle controls the torque applied to each wheel. In response to receiving input to initiate vehicle yaw mode and yaw direction, the system determines the inner wheels and the outer wheels and provides forward torque to the outer wheels of the vehicle and backward torque to the inner wheels of the vehicle to rotate the vehicle.

Systems and methods of controlling a vehicle in a stable drift are provided. With the goal of enhancing the driver experience, the disclosed drift control systems provide an interactive drift driving experience for the driver of a vehicle. In some embodiments, a driver is allowed to take manual control of a vehicle after a stable drift is initiated. For safety reasons, an assisted driving system may provide corrective assistance to prevent the vehicle from entering an unstable/unsafe drift. In other embodiments, an autonomous driving system retains control of the vehicle throughout the drift. However, the driver may perform “simulated drift maneuvers” such as counter-steering, and clutch kicking in order to communicate their desire to drift more or less aggressively. Accordingly, the autonomous driving system will effectuate the driver's communicated desire in a manner that keeps the vehicle in a safe/stable drift.

Systems and methods of controlling a vehicle in a stable drift are provided. With the goal of enhancing the driver experience, the disclosed drift control systems provide an interactive drift driving experience for the driver of a vehicle. In some embodiments, a driver is allowed to take manual control of a vehicle after a stable drift is initiated. For safety reasons, an assisted driving system may provide corrective assistance to prevent the vehicle from entering an unstable/unsafe drift. In other embodiments, an autonomous driving system retains control of the vehicle throughout the drift. However, the driver may perform “simulated drift maneuvers” such as counter-steering, and clutch kicking in order to communicate their desire to drift more or less aggressively. Accordingly, the autonomous driving system will effectuate the driver's communicated desire in a manner that keeps the vehicle in a safe/stable drift.

A method determines an inadmissible deviation of a system behavior of a technical device using a monitoring algorithm which is supplied with input data and output data of the technical device in a learning phase. In a subsequent prediction phase, the monitoring algorithm is only supplied with the input data, and output data are calculated. In a preprocessing phase, the input data supplied to the monitoring algorithm are aligned with data of a reference signal.

A vehicle control device configured to control switching of drive mode of a vehicle including an internal combustion engine and a motor includes a processor configured to switch, in a case where a road surface of a perimeter of a geofencing zone is a road surface on which there is a high probability that the vehicle slips, in a movement route from an outside of the geofencing zone to an inside of the geofencing zone, the drive mode of the vehicle to drive by the motor in a state in which there is a low probability that the vehicle slips, outside the geofencing zone.

A control device for a vehicle drive unit is configured to control, based on an operating state of a vehicle, a vehicle drive unit having one or more power sources. The control device includes a processor and a storage device. The storage device is configured to store a vehicle front-rear acceleration prediction model being a machine learning model that receives as an input a command torque and outputs predicted acceleration. The processor is configured to: execute a predicted acceleration calculation process using the vehicle front-rear acceleration prediction model; and execute a command torque calculation process to calculate the command torque that minimizes an evaluation function. The evaluation function minimizes a deviation of the predicted acceleration with respect to a target vehicle front-rear acceleration according to a target torque based on the operating state while reducing a deviation of the command torque with respect to the target torque.

A control device for a vehicle drive unit is configured to control, based on an operating state of a vehicle, a vehicle drive unit having one or more power sources. The control device includes a processor and a storage device. The storage device is configured to store a vehicle front-rear acceleration prediction model being a machine learning model that receives as an input a command torque and outputs predicted acceleration. The processor is configured to: execute a predicted acceleration calculation process using the vehicle front-rear acceleration prediction model; and execute a command torque calculation process to calculate the command torque that minimizes an evaluation function. The evaluation function minimizes a deviation of the predicted acceleration with respect to a target vehicle front-rear acceleration according to a target torque based on the operating state while reducing a deviation of the command torque with respect to the target torque.

Systems and methods for operating an engine and a torque converter are presented. In one example, slip of a torque converter is adjusted via at least partially closing or opening a torque converter clutch in response to vehicle vibration. The vehicle vibration may be based on road surface conditions and an actual total number of operating cylinders of the engine.

Provided is a vehicle control system capable of, when a swaying phenomenon occurs during towing, preventing the swaying phenomenon from becoming worse due to driving force reduction control based on an increase in steering angle-related value. This vehicle control system comprises a steering wheel, a driving force control mechanism to control a driving force of a vehicle, and a power-train control module to control the driving force control mechanism. The power-train control module is operable, upon an increase in steering angle, to control an engine to reduce an output torque of the engine and, when a reversal of yaw rate of the vehicle is repeated in a situation where the vehicle is performing a towing operation, to restrict the output torque reduction based on the increase in the steering angle.