A vehicle management system is provided. The system carries out at least one of controlling a supply of power from an onboard power unit in a parked vehicle to the exterior and controlling charging of the onboard power unit from the exterior. The system comprises a control unit for controlling the supply of power or charging between the onboard power unit and the exterior; a transaction managing unit for managing the supply of power or charging between the onboard power unit and the exterior; and a payment point setting unit for setting a payment point for a user associated with the parked vehicle, wherein the payment point setting unit sets the payment point on the basis of transaction information recorded by the transaction managing unit.

A charging assistance system includes a processor configured to execute a generation process of generating charging plan data for a vehicle on the basis of: predicted power consumption of the vehicle calculated on the basis of a future traveling schedule of the vehicle; and a charging condition at each predicted stop place based on the traveling schedule.

A server that manages a plurality of power adjustment resources electrically connectable to a power network includes a determination unit and a first permission unit. The determination unit determines, before a vehicle including a power storage starts charging of the power storage by using the power network, whether or not electric power corresponding to charging power can be supplied to the power network by having at least one of the power adjustment resources respond to the charging of the power storage. When the determination unit determines that electric power can be supplied, the first permission unit permits supply of electric power from the power network to the vehicle.

The invention relates to a method for controlling a mobile charging device, which comprises the following steps: receiving an order information from the user, the order information comprising the charging location where the electric vehicle will be charged; determining a navigation route between the mobile charging device and the charging location according to the order information; navigating the mobile charging device to the charging location according to the navigation route and connecting the mobile charging device with the charging interface; and charging the electric vehicle through the charging interface. The invention relates to a system of the same. Through the invention, the mobile charging device can be intelligently dispatched according to user needs and make it autonomously travel to the user's electric vehicle and charge it, thereby greatly optimizing the charging resources of the electric vehicle.

Systems and methods for providing a personalized charging rate are provided. In one embodiment, a system may include a recognition module, a schedule module, a charge rate module, and a charging module. The recognition module is configured to identify a vehicle to receive a charge from a charging station. The schedule module is configured to determine a parked period when the vehicle will be present at the charging station based on a schedule. The charge rate module is configured to calculate a personalized charging rate based on the parked period. The charge rate defines a charge period that is an amount of time that the charging station will provide charge to the vehicle. The personalized charging rate is calculated to reduce a time difference between the parked period and the charge period. The charging module is configured to set the personalized charging rate.

A server includes a processor configured to: acquire user schedule information indicating an action schedule of a user and other person schedule information indicating an action schedule of another person associated with the user; estimate, based on the user schedule information, a power amount for a moving object that the user is allowed to use, the moving object including a rechargeable secondary battery; and control a charging device to charge the moving object based on the power amount and the other person schedule information.

A system for adaptive polling to minimize energy usage while also providing a reasonable quality of service. The system includes one or more processors and a memory device that stores instructions thereon that when executed by the one or more processors, causes one or more of the one or more processors to execute the following operations: receive adaptive polling input information that includes frequency adjustment factors; calculates a polling frequency to poll an electrical device using frequency adjustment factors that include current state of the electrical device, length of time the electrical device has been in the current state, time of day, user scheduled leave time of the electrical device, demand response events; and send polling requests to the electrical device according to the calculated polling frequency. In the context of applications and cloud services that interact with electrical devices, the adaptive polling system polls electrical devices to read device state and optionally to control some aspect of the electrical device's function, such as starting or stopping the device's duty cycle or starting and stopping charging of the electrical devices.

Embodiments of a methods and systems for charging one or more electric vehicles are described. A method can include: determining a collective power output aggregated from individual power outputs of each of the set of EVSEs; determining an adjusted power output of an EVSE unit of the set of EVSEs based upon the collective power output and an output constraint; and executing instructions for delivering the adjusted power output through the EVSE unit, for charging a vehicle of the set of vehicles. The set of vehicles can include fleet vehicles, and output constraints can be based upon demand response events.

A method for preheating a battery of an electrically driven motor vehicle, in particular an electric vehicle or a hybrid vehicle, controls a charging process and a discharging process of the battery in such a way that a minimum temperature of the battery is attained at a departure time of the motor vehicle.

A system for controlling charging of an electric vehicle. The system includes an electronic controller configured to estimate a vehicle usage of the electric vehicle for a defined time-period using an artificial intelligence engine. The electronic controller is also configured to determine peak and off-peak hours for charging the electric vehicle. The electronic controller is further configured to determine a charging time to reach a maximum target state of charge for the electric vehicle. The electronic controller is also configured to create a charging schedule for the electric vehicle to reach the maximum target state of charge based on the vehicle usage, the peak and off-peak hours, and the charging time associated with the electric vehicle. The electronic controller is further configured to control charging of the electric vehicle according to the charging schedule responsive to determining the electric vehicle reaches a minimum target state of charge.