In an electricity supply system including a plurality of pieces of electricity supply equipment and a plurality of vehicles, when a second vehicle being supplied with electricity from first electricity supply equipment receives a request to surrender the first electricity supply equipment from a first vehicle, the second vehicle surrenders the first electricity supply equipment to the first vehicle and moves, through automated driving, to second electricity supply equipment selected from among the plurality of pieces of electricity supply equipment when the second vehicle is able to travel as far as the second electricity supply equipment.

Systems and methods for parallel autonomy of a vehicle are disclosed herein. One embodiment receives input data, the input data including at least one of sensor data and structured input data; encodes the input data into an intermediate embedding space using a first neural network; inputs the intermediate embedding space to a first behavior model and a second behavior model, the first behavior model producing a first behavior output, the second behavior model producing a second behavior output; combines the first behavior output and the second behavior output using an ideal-behavior model to produce an ideal behavior for the vehicle; and controls one or more aspects of operation of the vehicle based, at least in part, on the ideal behavior.

Providing moving parking and subscription services across a network by obtaining service information corresponding to a vehicle of a user, wherein the service information includes parking services and subscription services, obtaining vehicle information corresponding to one or more service vehicles, selecting a service vehicle of the one or more service vehicles, wherein the service vehicle accommodates one or more services for the vehicle of the user based at least in part on the service information, and determining a suitable set of conditions for the service vehicle to accommodate the one or more services for the vehicle of the user.

Method and device for optimized autonomous driving, wherein a trajectory for the actuation of the vehicle is determined. A profile of the trajectory is defined by a bending line of a bending band. The bending line is preferably determined by the finite element method, in particular according to the principle of virtual shifting, and achieves an optimization goal and satisfies a boundary condition. The boundary condition is defined in accordance with a profile of a roadway for the vehicle. The optimization goal is defined by a desired driving property of the vehicle.

A grounds maintenance system comprising: a robot tractor comprising; a robot body; a drive system including one or more motorized drive wheels to propel the robot body; a control system coupled to the drive system, the control system configurable to store a mow plan that specifies a set of paths to be traversed for a grounds maintenance operation and control the drive system to autonomously traverse the set of paths to implement the mow plan; a battery system comprising one or more batteries housed in the robot body; and a low-profile mowing deck coupled to the robot body, the mowing deck adapted to tilt and lift relative to the robot body, wherein the control system is configured to control tilting and lifting of the mowing deck and cutting by the mowing deck.

A hybrid dump truck for surface mining, comprising a cyber-physical system including a sensing system and a control system, and a driving unit for performing autonomous driving of the dump truck along a travel path using at least the sensory data of the sensing system, wherein the closed cycle path is determined based on topographical data, wherein the control system is configured to control a cyclic energy level of the electric energy storage unit, wherein rates of change of power during autonomous or semi-autonomous driving of the hybrid dump truck from a predetermined reference point of the closed cycle path along said closed cycle path are controlled based on a desired velocity such as to reduce a difference in energy levels of the electric energy storage unit at the reference point of the closed cycle path.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a system that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle moving along a highway, including as part of a convoy.

A driver assistance method for a vehicle includes the steps of establishing an energy prediction for a route on the basis of an anticipated driver behavior, determining a driving behavior which is optimized with regard to the energy prediction, and outputting an action recommendation on the basis of the optimized driving behavior.

A system for electrical charging of a first vehicle by a second vehicle includes a network access device to communicate with a first source that includes at least one of the first vehicle or a mobile device associated with a user of the first vehicle. The system further includes a processor coupled to the network access device that is designed to receive a charge request from the first source via the network access device, the charge request requesting access to a source of electrical energy for charging the first vehicle. The processor is further designed to identify an available vehicle that is available to be used as the source of electrical energy for charging the first vehicle. The processor is further designed to control the network access device to transmit available vehicle information corresponding to the available vehicle to the first source in response to receiving the charge request.

An energy management system determines two or more fuel components that represent fuel consumption by a vehicle system completing a trip over one or more routes. A trip plan that designates operational settings of the vehicle system at one or more of different locations, different distances along the one or more routes, or different times is generated or modified. The trip plan is based on the fuel components. The fuel components include a delta elevation component of the one or more routes, a delta speed component of the trip, a mean drag component of the vehicle system, a curvature component of the one or more routes, a base fuel component of the vehicle system, a minimum braking component of the vehicle system, a braking auxiliaries component of the vehicle system, and/or a drag variation of the vehicle system.