An energy storage system includes: a plurality of slave power controllers connected to respective battery modules; and a master power controller configured to transmit a first signal to the plurality of slave power controllers and transmit a second signal for controlling synchronizations of the plurality of slave power controllers to the plurality of salve power controllers according to a reception time at which each of the plurality of salve power controllers receives the first signal.

A rechargeable battery kiosk can dynamically alter a charging rate of one or more rechargeable batteries housed within the rechargeable battery kiosk to increase a probability that the rechargeable battery kiosk has an ample supply of fully charged, or mostly fully charged, rechargeable batteries based on an anticipated usage data for the rechargeable battery kiosk.

A functional module (200) comprises one or more monitoring-and-control units (138) configured to be connected to a communication module, and a segment of computer bus (204) connecting all of the monitoring-and-control units to the communication module. Each unit allow the connection to an electrical load and is controlled by the communication module. The functional module further comprises one or more input-output modules (206) each associated with a monitoring-and-control unit, to connect the segment of computer bus to a unit and to the electrical load connected to this unit, and to allow the exchange of data between this unit and the electrical load. The segment of computer bus comprises memory blocks, each memory block being configured to be associated with a unit and to store information relating to the type of the unit associated with the memory block and/or operating parameters of the unit associated with the memory block and/or information on the electrical load connected to said unit, as well as information regarding an input-output module.

A network-based energy management system of managing electric vehicle (EV) charging network infrastructure is provided. The system comprises a gateway including one or more of an electric vehicle supply equipment (EVSE), a building automation system and any other independent controller. The gateway is configured for performing charging authorization, load management and/or demand response on an EVSE network using more than one communication channels including remote and/or local modes. The EVSE network includes two or more components from a group of components including a first EVSE, a controller, a second EVSE, the building automation system, a local server, a remote server and other energy management device.

A power adjustment system adjusts charging and discharging power of a plurality of electrified vehicles in a virtual power plant that uses the electrified vehicles as energy resources. The power adjustment system includes: a first processor configured to manage charging and discharging of the electrified vehicles based on vehicle information of each individual electrified vehicle included in the electrified vehicles; and a second processor configured to control charging and discharging between the electrified vehicles and a plurality of chargers and dischargers connected to a power distribution grid based on charge and discharge information supplied from the first processor. The charge and discharge information is generated based on the vehicle information of the each individual electrified vehicle, and includes a charge and discharge constraint of an electrified vehicle group composed of the electrified vehicles and a charge and discharge constraint of the each individual electrified vehicle.

Management methods and systems for energy and charging requests of an electric vehicle charging field are provided. First charging data corresponding to at least one first charging operation is received by a server from each of electric vehicle charging stations in a charging field via a network during a first predetermined period, wherein the charging data includes at least a charging start time, a charging period, and an output power. According to the first charging data corresponding to the at least one first charging operation received from each of the electric vehicle charging stations during the first predetermined period, the server generates an energy prediction data of the charging field in a second predetermined period, wherein the energy prediction data includes at least an energy consumption estimation of the charging field at a specific time point.

A remotely controlled switching module that provides switching and preferably dimming functions for one or more AC or DC power distribution lines. The inventive module is preferably sized to fit within existing outlet and switch boxes, while still leaving enough room for the conventional components that are also housed in such enclosures. Remote control is provided wirelessly—preferably using an existing wireless communication protocol. Local control is preferably also provided for the inventive switching module. Local control inputs preferably allow control via existing components—such as two-pole light switches.

A power management method according is provided with a step A of sending a control message from a power management server to a local control apparatus and a step B of performing, on the basis of source identification information that identifies a source of the control message, by the local control apparatus, control based on the control message. The source identification information is associated with a use type that identifies use of the control message.

A method for wireless communicating at local level with one or more control nodes of an electric system. Each control node is included in or operatively associated with a corresponding electric or electronic apparatus of the electric system. The method combines path-finder procedures of different types to discover control nodes of interest and allow carrying out a local wireless communication with these latter.

A rechargeable battery kiosk can dynamically alter a charging rate of one or more rechargeable batteries housed within the rechargeable battery kiosk to increase a probability that the rechargeable battery kiosk has an ample supply of fully charged, or mostly fully charged, rechargeable batteries based on an anticipated usage data for the rechargeable battery kiosk.