This regional energy management device calculates the power interchange between consumers, on the basis of: storage battery level distribution indicating the relationship between storage battery levels and the position of storage batteries in a region at each time; excess or shortages of power for each consumer at each time, if a consumer has implemented a power supply equipment operation plan for fulfilling a consumer target index for that consumer; and an overall regional target index.

A use management device includes: a traveling information acquisition part which acquires subsequent prospective traveling information about an electrically driven cart; a remaining amount information acquisition part which acquires remaining amount information about a battery; a determination section which determines, based on the prospective traveling information and the remaining amount information, whether charging of the battery is necessary; and a control section which executes a permission control of permitting a traveling motor to drive when the determination section determines that the charging of the battery is unnecessary, and executes a forbidding control of forbidding the traveling motor from driving when the determination section determines that the charging of the battery is necessary.

An ECU performs a process including: when a vehicle establishes a Ready-On state, selecting a CD mode; when discharging power is uncompleted and a scheduled time to return the vehicle is a time within a discharging period, setting a second target SOC as a mode switching value; and when the vehicle's power storage device has an SOC reaching the mode switching value and a surcharge imposed on a rental fee is unaccepted, switching the current control mode from the CD mode to a CS mode.

An apparatus for controlling optimization of a charging amount of a battery for a vehicle charged with external power includes: a map storage, a position detector, and a controller to control the map storage and the position detector. The controller acquires a current position of the vehicle when a driver's desired charging setting value is input, acquires altitude information of topography corresponding to a driving path, calculates a gain charging amount in an uphill or downhill section on the driving path based on the altitude information, calculates an optimum charging setting value based on the driver's desired charging setting value and the gain charging amount, calculates a final target charging amount based on the optimum charging setting value and a current residual charging amount, and performs optimum charging of the battery.

An information processing method includes: acquiring a weight of an electric mobile body; acquiring an amount of power consumption of the mobile body for each of numbers of one or more batteries mounted on the mobile body, the amount of power consumption being calculated based on the number of batteries; calculating a degradation cost of batteries for each of the numbers of the one or more batteries, the degradation cost being calculated based on the amount of power consumption and on the number of batteries; calculating a charging cost for each of the numbers of the one or more batteries, the charging cost being calculated based on the weight; and determining a number of batteries to be actually mounted on the mobile body, in accordance with the degradation cost and the charging cost, and outputting the number of batteries to be mounted.

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 of guiding an accelerator pedal of an electric vehicle includes calculating a target instant fuel efficiency, calculating a target torque corresponding to the target instant fuel efficiency, calculating a target open degree of the accelerator pedal based on the target torque, receiving an actual open degree of the accelerator pedal manipulated by a driver, and displaying the target open degree of the accelerator pedal and the actual open degree of the accelerator pedal.

A method, a system, and a computer readable medium for managing recharging of a shared electric vehicle are provided. The method includes determining whether an energy storage device of the electric vehicle requires charging, identifying a charging method based on a plurality of parameters including an ambient temperature, a current state of charge, a current load, and a power estimate for a planned route, altering the planned route of the electric vehicle to enable charging based on the identified method, and charging a second energy storage device associated with a second electric vehicle during transit via the electric vehicle. The charging method includes swapping electric vehicles, exchanging the energy storage device, and charging via a charging bot.

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.

The present disclosure relates to a method for predicting battery consumption of an electric vehicle and a device for the same. An electronic device includes an input unit which obtains destination information from a user, a memory, and at least one processor which is operatively connected to the input unit and the memory. The at least one processor may obtain a travel path of an electric vehicle, which is derived based on the destination information and may predict battery consumption when the electric vehicle travels along the travel path.