A method for operating a vehicle in particular a commercial vehicle having electric energy storage and an electric driving machine, includes determining an absorbable amount of energy of the electric energy storage, determining a driving route drivable by the vehicle at least partially in an overrun mode, and determining a recuperation power by which the vehicle may by operated along the driving route and/or determining a target speed at which the vehicle is to be driven on the driving route, such that at the end of the driving route the energy content of the energy storage has been increased by the determined absorbable amount of energy. Also provided is a device, a computer program product and a storage medium for the energy management of an electrically driven vehicle as well as such vehicle.

A method for controlling an operating mode of a vehicle is presented. The method includes determining a current range of the vehicle while the vehicle is operating in a first operating mode. The method also includes determining a distance to a destination. The method further includes controlling the vehicle to operate in a second operating mode instead of the first operating mode when the range is less than the distance to the destination.

A delivery management device includes a hardware processor functioning as a delivery planning unit, a charging planning unit, and a delivery management unit. The delivery planning unit serves to create a delivery plan on the basis of delivery information. The charging planning unit serves to determine whether or not en-route charging is necessary. The en-route charging is performed to charge a battery mounted on a moving body midway through a delivery route defined in the delivery plan. The delivery management unit serves to determine whether or not to re-plan the delivery plan including the en-route charging. The determination is made on the basis of a deterioration state of the battery. Also, the determination is made in a case where the en-route charging is determined as being necessary and where a battery deterioration amount is set as a priority item.

Embodiments are directed to managing battery pack exchanges for an electric vehicle by maintaining current swap station information for a number of battery pack swap stations, receiving navigation information from the vehicle indicating a travel route of the vehicle, and receiving current vehicle information from the vehicle and related to a battery pack installed in the vehicle. A battery pack swap plan can be determined based on the swap station information, the navigation information, and the vehicle information. The plan can indicate a selected replacement battery pack at each of one or more selected battery pack swap stations. Information defining the battery pack swap plan can be provided to the selected battery pack swap stations and the vehicle. The stations can reserve the selected replacement battery pack and the vehicle can update the travel route based on the battery pack swap plan.

An example operation includes one or more of determining an estimated arrival time of a first transport to a charging station, determining an estimated remaining stored transport energy at the estimated arrival time of the first transport, notifying the first transport to provide a portion of the determined remaining stored transport energy and when a next transport is delayed to the charging station, notifying the first transport to provide an additional portion of the determined remaining stored transport energy based on the delay.

An example operation includes one or more of providing to a charging station a distance desired to be driven by a transport and determining, by the charging station, an amount of energy to retrieve from the transport such that a residual amount of energy in the transport is equivalent to the distance desired to be driven.

A method for determining a remaining range of a vehicle, including: determining a remaining range of the vehicle driven depending on a current residual energy of a power battery, determining a remaining range of the vehicle driven depending on a current residual energy of a fuel cell, and determining a remaining range of the vehicle driven depending on a recuperated energy when an energy recuperation function of the vehicle is activated; and determining the remaining range of the vehicle based on the aforesaid remaining ranges of the vehicle. According to this method of the present disclosure, the remaining range of the vehicle may be accurately reflected, and it is more convenient for a user to schedule a vehicle trip.

A system for charging electric vehicles is disclosed, comprising: vehicle chargers coupled to an electric power grid; and a controller in communication with the chargers and vehicles and configured to execute software to cause the controller to: determine characteristics of each vehicle, the characteristics including a charge capacity of a battery system of each vehicle and a mission schedule; determine characteristics of each charger, the characteristics including a type of each charger and a charging capacity; process the characteristics of each vehicle and each charger to identify charging opportunities for each vehicle over the course of a time period; and perform a peak power optimization analysis to generate a vehicle charging profile configured to activate a minimum number of chargers simultaneously and to minimize downtimes of the plurality of chargers to thereby distribute the power demand from the electric power grid and result in an initial peak power demand.

A system comprises a drone having autonomous drive capability and an assist vehicle (AV) for transporting the drone in an assisted drive mode in which the drone is held at, and transported by, the assist vehicle. Control hardware and software are programmed to determine drone travel over a route having a first route section in which the drone travels autonomously and a second route section in which the drone travels in the assisted drive mode.

Disclosed embodiments include computer-implemented methods, systems, and vehicles for determining a travel range of a vehicle. In an illustrative embodiment, a perimeter is determined indicating a travel range of a vehicle from a starting location based on the capacity of the battery system. At least one charging location is identified within the perimeter. An option is provided to generate an extended perimeter indicating an extended travel range of the vehicle travel from the starting location based on a recharge of the battery system at the at least one charging location. Map data is generated including at least one visualized travel range chosen from the perimeter and the extended perimeter.