Devices, systems, and methods for integrated predictive dynamic control of a vehicle powertrain in an autonomous vehicle are described. An example method for controlling a vehicle includes generating, based on performing an optimization on a blended smooth wheel domain fuel consumption map subject to a modified torque availability constraint, one or more wheel domain control commands, converting the one or more wheel domain control commands to one or more powertrain-executable engine domain control commands, and transmitting the one or more powertrain-executable engine domain control commands to a powertrain of the vehicle, the powertrain configured to operate a plurality of gears, wherein the one or more powertrain-executable engine domain control commands enable the vehicle to track a reference kinematic trajectory associated with a vehicle speed driving plan within a predetermined tolerance.

Automated launch torque is provided. An automated virtual launch torque generation (AVL-TG) system may be included in a vehicle, such as a heavy duty truck, that may interoperate with an adaptive cruise control (CC) system to move the vehicle from a standstill or low speed to a CC handover speed. The AVL-TG system may determine a tip-in torque curve configured to mimic a torque curve generated by a human operator's acceleration pedal tip-in from a standstill or low speed. The tip-in torque curve may be represented by torque demand values corresponding to a dynamic pedal saturation level applied over a dynamic pedal rate. The torque demand values determined by the AVL-TG system may mimic an expected or human vehicle operator generated torque request, and may operate to successfully close the clutch and smoothly launch the vehicle from a standstill or low speed.

A hybrid vehicle includes an engine which generates power by combustion of fuel; a drive motor which generates power, and is selectively operated as a generator to generate electrical energy; a battery which is connected to the drive motor and supplies electrical energy to the drive motor and charges the electrical energy generated in the drive motor; a battery management system which measures a State of charge (SOC) value of the battery; and a controller which is configured to determine a final target torque of the engine in a Hybrid Electric Vehicle (HEV) mode based on an SOC section in which the SOC value of the battery measured in the battery management system belongs.

Methods and systems for calibrating a hybrid vehicle system for simplified control of the powertrain to optimize fuel efficiency of the hybrid vehicle and for operating a hybrid vehicle powertrain accordingly. The optimization mechanism reduces the optimized control problem to a single degree-of-freedom. Accordingly, during real-time operation of the hybrid vehicle, the system is able to quickly identify and apply optimized operating settings for a particular driver demand and, in some implementations, to provide a particular rate of change of the state-of-charge of the battery of the hybrid vehicle.

In a hybrid vehicle control system, when a first traveling mode using torque of an electric motor is switched to a second traveling mode using torque of an engine, a controller performs an engine start control by applying an engagement pressure to a first clutch and by cranking the engine by the electric motor, so as to start the engine. Specifically, the controller obtains a predicted start time and an actual start time by the engine start control, and corrects the engagement pressure so as to decrease the engagement pressure applied to the first clutch at a subsequent time of starting the engine, when the actual start time is shorter than the predicted start time.

A powertrain system is controlled to deliver axle torque in response to an operator accelerator pedal input. Axle torque is determined by metrics including historical control information, current control information, and future control information.

Examples disclosed herein relate to a dynamic supply modulation power amplifier architecture for millimeter wave applications. The architecture includes phase shifters coupled to a power input port, power amplifiers coupled to respective power output ports, variable gain amplifiers coupled to the phase shifters and to the power amplifiers and are configured to supply dynamically varying input power to the power amplifiers. The architecture includes a first look-up table coupled to the variable gain amplifiers to control the variable gain amplifiers. The architecture also includes a second look-up table coupled to the power amplifiers, where each of the power amplifiers is supply modulated by active drain voltage modulation controlled by the second look-up table and variable input power from the variable gain amplifiers. Other examples disclosed herein include a radar system for use in an autonomous driving vehicle and an analog beamforming antenna for millimeter wave applications.

While a vehicle is in an off state, expiration of a timer and receipt of a first message from a user device are monitored. Upon determining that at least one of the timer has expired or that the first message is received from the user device, a communication network onboard the vehicle is then monitored for a specified set of fault conditions. Upon detecting, on the onboard vehicle communication network, a fault condition included in the set of fault conditions, the fault condition is then identified as one of transient or persistent. A user assist feature of the vehicle is disabled upon identifying that the fault condition is transient and that a second message was received from the user device after the fault condition was detected.

A method of controlling an engine and a transmission of a hybrid vehicle includes steps of: determining whether the vehicle starts, determining an engine RPM and a gear stage of a transmission if the vehicle has started, determining whether the engine RPM has reached an engine speed control point, determining an engine target RPM and an engine target RPM slope of the vehicle when it is determined that the engine RPM has reached the engine speed control point, controlling the engine RPM of the vehicle to follow the engine target RPM and the engine target RPM slope, determining whether the engine RPM has slipped compared to the target engine RPM, and performing PID control to follow the engine target RPM if the engine RPM slips compared to the engine target RPM.

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.