This disclosure relates to method and system for validating an Autonomous Vehicle (AV) stack. The method may include receiving an Operational Design Domain (ODD) and real-world data for evaluating at least one of an Advanced Driver Assistance System (ADAS) and the AV. The ODD is based on at least one feature of at least one of the ADAS and the AV. For each of a plurality of iterations, the method may further include generating a driving scenario based on the ODD of the AV and the real-world data through a Quality of Ride Experience (QoRE)-aware cognitive engine, plugging and running at least one of the ADAS and the AV algorithm based on the driving scenario, and determining a set of performance metrics corresponding to the at least one feature of at least one of the ADAS and the AV in the driving scenario based on the simulating.

A power distribution control system of a vehicle includes a driving information provider for collecting and providing information required for power distribution control of an engine and a motor in the vehicle; a communication unit for transmitting the information provided by the driving information provider from the vehicle; a cloud server outside the vehicle for selecting and transmitting optimal power distribution control logic data corresponding to a driving situation of the vehicle based on the information provided through the communication unit from the vehicle; and a vehicle controller for performing power distribution control of the engine and the motor based on real-time driving state variable information of the vehicle using the optimal power distribution control logic data received through the communication unit by the vehicle from the cloud server.

A method for releasing a tilt mechanism for a steering element of a vehicle, wherein the steering element is mounted pivotably around a tilt axis between a steering position and at least one non-steering position, wherein the steering element has at least one releasable locking arrangement, which fixes the steering element in the steering position and the at least one non-steering position. The locking arrangement can adopt at least one locking state in which the release of the locking arrangement is prevented and can adopt at least one release state in which the release of the locking arrangement is enabled. A corresponding steering arrangement and a corresponding vehicle are provided.

The invention relates to a method for controlling a hydraulic system of a vehicle driveline. According to the method a transmission (13) of a driveline (2) is controlled in a limited actuation mode, if the pressure (p) is below the predetermined critical lower threshold value (Tel), wherein in the limited actuation mode the transmission (13) is controlled such that less actuator actuations is performed in comparison to a normal actuation mode.

A hybrid vehicle includes an engine, a first motor, a planetary, the first motor, and a drive shaft, such that the first motor, the engine, and the drive shaft are arranged in this order in a collinear diagram, a second motor configured to be connected to the drive shaft, a power storage device configured to exchange an electric power with the first motor and the second motor. A braking force is applied to a vehicle by motoring the engine, in which fuel injection is stopped, by the first motor and/or regenerative driving of the second motor, when an accelerator is not operated. Motoring of the engine, in which fuel injection is stopped, by the first motor is limited, in a case where a deposition amount of particulate matter deposited on the filter is equal to or higher than a predetermined amount, when an accelerator is not operated.

Since a maximum rotation speed is set to a lower value when a supercharging pressure from a supercharger is high than when the supercharging pressure is low, an engine torque is decreased at a relatively low engine rotation speed and the engine rotation speed is less likely to fall into a high-rotation state. Since the maximum rotation speed is set to a relatively high value when the supercharging pressure is relatively low and the engine rotation speed is less likely to fall into a high-rotation state, the engine torque is not decreased at a relatively high engine rotation speed and power performance can be easily secured. Accordingly, it is possible to curb a decrease in power performance due to a decrease in the engine torque and to prevent the engine rotation speed from falling into a high-rotation state.

A control device for a vehicle having: an engine; and a variator arranged downstream of the engine in a power transmission path connecting the engine and drive wheels, wherein the control device for the vehicle has a controller that executes a low standby control which downshifts the variator by moving a belt of the variator in a vertical direction (radial direction) during stopping of the vehicle. After starting the low standby control, the controller releases an output limit of the engine based on an actual secondary pressure of the variator.

A system comprises an autonomous vehicle (AV) and a control device operably coupled with the AV. The control device detects a series of events within a threshold period of time, where a number of series of events in the series of events is above a threshold number. The series of events taken in the aggregate within the threshold period of time deviates from a normalcy mode. The normalcy mode comprises events that are expected to the encountered by the AV. The control device determines whether the series of events corresponds to a malicious event, where the malicious event indicates tampering with the AV. In response to determining that the series of events corresponds to the malicious event, the series of events are escalated to be addressed.

Vehicle center of gravity (CoG) height and mass estimation techniques utilize a light detection and ranging (LIDAR) sensor configured to emit light pulses and capture reflected light pulses that collectively form LIDAR point cloud data and a controller configured to estimate the CoG height and the mass of the vehicle during a steady-state operating condition of the vehicle by processing the LIDAR point cloud data to identify a ground plane, identifying a height difference between (i) a nominal distance from the LIDAR sensor to the ground plane and (ii) an estimated distance from the LIDAR sensor to the ground plane using the processed LIDAR point cloud data, estimating the vehicle CoG height as a difference between (i) a nominal vehicle CoG height and the height difference, and estimating the vehicle mass based on one of (i) vehicle CoG metrics and (ii) dampening metrics of a suspension of the vehicle.

A control device for a hybrid vehicle includes: a drive control unit that calculates required drive power which is required for a hybrid vehicle based on an accelerator opening when an accelerator return operation is performed, calculates a target engine output which changes slowly with respect to a required engine output for realizing the required drive power through slow change processing, and controls an engine, a first rotary machine, and a second rotary machine such that an engine output reaches the target engine output; and a smoothing rate setting unit that changes a smoothing rate which is used for the slow change processing based on a supercharging pressure and sets the smoothing rate to a smaller value when the supercharging pressure is high than when the supercharging pressure is low.