A charging cabinet includes a power conversion circuit, an input interface, and a plurality of output interfaces. An input end of the power conversion circuit is connected to the input interface. The power conversion circuit converts an alternating current supplied by an alternating current power grid into a direct current, and then charges a plurality of battery packs by using the direct current.

A method and system for managing electric vehicle (EV) distributed energy resource(s) (DER) are disclosed. A DER analytics engine may receive electricity consumption data of a plurality of sites from corresponding electricity meters of the plurality of sites, detect EV charging information based at least in part on the electricity consumption data, obtain EV telematics data of EVs associated with the EV charging information, reconcile the EV charging information and the EV telematics data, and generate, based on the reconciled EV charging information and the EV telematics data, models for at least one of continuous EV load prediction, electrical vehicle supply equipment (EVSE detection), and/or optimization for at least one of aggregated load, load per feeder, or maximum revenue for time-of-use tiers.

Systems and methods may coordinate and provide bidirectional energy transfer events between electrified vehicles and other devices or structures, such as for supporting transient loads associated with the devices/structures. Battery life information and driving habit information may be leveraged for selecting an appropriate energy transfer strategy for any given vehicle, traction battery pack, structure, and/or grid power source condition. The proposed systems/methods may thereby align grid demand charge strategies to each vehicle's battery life, thereby preserving the life/warranty and asset utilization of the traction battery pack over the entire usage life of the vehicle.

Systems and methods may coordinate and provide bidirectional energy transfer events between electrified vehicles and other devices or structures, such as for supporting transient loads associated with the devices/structures. Battery life information and driving habit information may be leveraged for selecting an appropriate energy transfer strategy for any given vehicle, traction battery pack, structure, and/or grid power source condition. The proposed systems/methods may thereby align grid demand charge strategies to each vehicle's battery life, thereby preserving the life/warranty and asset utilization of the traction battery pack over the entire usage life of the vehicle.

An embodiment system for charging an electric motor vehicle includes a first switching circuit configured to select one of at least two chargers, a second switching circuit configured to select a charging station connector to be connected to the charger selected by the first switching circuit, and a controller configured to control the first switching circuit and the second switching circuit based on a predetermined charging order to allow charging of a battery of a vehicle that is connected to the charging station connector to be performed, sense connection of a charging connector of the vehicle to the charging station connector, receive a required charging amount and an available waiting time of the vehicle, and determine the charging order based on the required charging amount and the available waiting time.

An embodiment system for charging an electric motor vehicle includes a first switching circuit configured to select one of at least two chargers, a second switching circuit configured to select a charging station connector to be connected to the charger selected by the first switching circuit, and a controller configured to control the first switching circuit and the second switching circuit based on a predetermined charging order to allow charging of a battery of a vehicle that is connected to the charging station connector to be performed, sense connection of a charging connector of the vehicle to the charging station connector, receive a required charging amount and an available waiting time of the vehicle, and determine the charging order based on the required charging amount and the available waiting time.

Responsive to a target charge level, a target charge completion time, and a maximum charge rate being sufficient to achieve the target charge level during an available charge duration defined by the target charge completion time, a controller charges the traction battery at a selected rate less than the maximum rate such that the traction battery continuously receives charge until occurrence of the target charge completion time and the traction battery achieves the target charge level at but not before the target charge completion time.

Responsive to a target charge level, a target charge completion time, and a maximum charge rate being sufficient to achieve the target charge level during an available charge duration defined by the target charge completion time, a controller charges the traction battery at a selected rate less than the maximum rate such that the traction battery continuously receives charge until occurrence of the target charge completion time and the traction battery achieves the target charge level at but not before the target charge completion time.

A system and method for managing vehicle charging stations such that when at least two of a plurality of electric vehicle charging stations (also known as electric vehicle service equipment, or EVSE) occupied with vehicles awaiting a charge, the present system manages the charging of individual vehicles in cases where the aggregated demand for charging exceeds the capacity of the circuits supplying the plurality of EVSE. By cycling so that only a few of the vehicles are charging at a time, the demand on the circuits is kept below a predetermined limit. In cases where a load shedding event is in progress, the limit can be further reduced. In cases where the cost of electricity is varying dynamically, the system considers a driver's explicit charging requirements (if any) and preferences for opportunistic charging when the price of electricity is not too high.

A system and method for managing vehicle charging stations such that when at least two of a plurality of electric vehicle charging stations (also known as electric vehicle service equipment, or EVSE) occupied with vehicles awaiting a charge, the present system manages the charging of individual vehicles in cases where the aggregated demand for charging exceeds the capacity of the circuits supplying the plurality of EVSE. By cycling so that only a few of the vehicles are charging at a time, the demand on the circuits is kept below a predetermined limit. In cases where a load shedding event is in progress, the limit can be further reduced. In cases where the cost of electricity is varying dynamically, the system considers a driver's explicit charging requirements (if any) and preferences for opportunistic charging when the price of electricity is not too high.