A system for controlling the speed of a vehicle. The system includes a satellite receiver configured to determine a satellite navigation-based speed of the vehicle and one or more speed sensors configured to determine a sensor-based speed of the vehicle. The system further includes a controller having one or more electronic processors and in communication with the satellite receiver and the one or more speed sensors. The controller is configured to receive a desired set speed from a user, determine an actual speed of the vehicle based on the satellite navigation-based speed and the sensor-based speed, and control the vehicle such that the actual speed of the vehicle is equal to the desired set speed.

An energy storage and transmission system (ESRS) (69) comprises a transmission (9, 11) and an energy storage device such as a flywheel (1). While energy is being transferred between the energy storage device (1) and an energy source/sink (7), the transmission ratio of the transmission (9, 11) will usually be changing constantly. In order to manage the torque applied by the energy transfer device (1) or the power transferred, a controller (100) responds to discrepancy between the torque or power supplied and the torque or power demanded.

Presented are model-based control systems for operating parallel hybrid powertrains, methods for making/using such systems, and motor vehicles with parallel hybrid powertrains and model-based torque and speed control capabilities. A method for controlling operation of a hybrid powertrain includes receiving a command signal for a hybrid powertrain operation associated with a driver input and a current operating mode of the powertrain. A desired output torque for executing the powertrain operation is then determined. The method determines if a speed differential between an engine speed of an engine and a torque converter output speed of a torque converter is less than a calibrated threshold; if so, the method responsively engages a clutch device to operatively connect the engine's output member to the transmission's input member. Engine torque is then coordinated with motor torque such that the sum of the engine and motor torques is approximately equal to the desired output torque.

Systems and methods for path determination are provided. The system, comprise a mounting structure configured to mount on a vehicle; and a control module attached on the mounting structure. The control module includes at least one storage medium storing a set of instructions, an output port, and, a microchip in connection with the storage medium, wherein during operation, the microchip executing the set of instructions to: obtain vehicle status information; determine a reference path based on vehicle status information; determine a loss function incorporating the reference path, vehicle status information, and a candidate path; obtain an optimized candidate path by optimizing the loss function; send an electronic signal encoding the optimized candidate path to the output port.

A method for determining a reference driving class of a driver from among a set of predetermined driving classes, each predetermined driving class being characterized by a speed profile, comprises the following steps: The speed of a driver over a given journey is determined, the observed speed is compared with the speed profiles of each of the predetermined driving classes so as to obtain a deviation between the driver and each of the driving classes, a detected driving class is determined as being that which minimizes this deviation, and the reference driving class is determined as a function of this detected driving class.

A method for generating a driving assistant model, comprising: computing at least one semantic driving scenario by computing at least one permutation of at least one initial semantic driving scenario; providing the at least one semantic driving scenario to a simulation generator to produce simulated driving data describing at least one simulated driving environment; training a driving assistant model using the simulated driving data to produce a trained driving assistant model; and providing by the trained driving assistant model at least one driving instruction to at least one autonomous driving model while the at least one autonomous driving model is operating.

Provided is a vehicle control device with which it is possible to reduce the time required to rewrite a control program. In the vehicle control device according to the present invention, after an updated version of the control program has been stored in a second storage unit, a first storage unit is initialized in advance before the instruction to update the control program has been executed.

Aspects and implementations of the present disclosure address shortcomings of existing technology by enabling autonomous vehicle simulations based on retro-reflection optical data. The subject matter of this specification can be implemented in, among other things, a method that involves initiating a simulation of an environment of an autonomous driving vehicle, the simulation including a plurality of simulated objects, each having an identification of a material type of the respective object. The method can further involve accessing simulated reflection data based on the plurality of simulated objects and retro-reflectivity data for the material types of the simulated objects, and determining, using an autonomous vehicle control system for the autonomous vehicle, a driving path relative to the simulated objects, the driving path based on the simulated reflection data.

Disclosed is a method for controlling a hybrid vehicle power train, including a thermal drive chain and an electric drive chain, the electric drive chain including a traction battery, a voltage modulator, an inverter, first and second electrical machines. The voltage modulator is designed to modulate a supply voltage of an electric current from the traction battery to the first and second electrical machines. The method includes: a step of analytically calculating an optimal supply voltage using a mathematical expression that corresponds to the resolution of an equation expressed as $\frac{?P_{bat}}{?U_e}=0,$
where U.sub.e is the supply voltage, P.sub.bat is the electrical power supplied by the traction battery, and where the electrical power supplied by the traction battery is expressed as a quadratic function of the supply voltage; and a step of controlling the voltage modulator in such a way that it outputs the optimal supply voltage.

Systems and methods of the present disclosure are directed to a method. The method can include obtaining simplified scenario data associated with a simulated scenario. The method can include determining, using a machine-learned perception-prediction simulation model, a simulated perception-prediction output based at least in part on the simplified scenario data. The method can include evaluating a loss function comprising a perception loss term and a prediction loss term. The method can include adjusting one or more parameters of the machine-learned perception-prediction simulation model based at least in part on the loss function.