An apparatus comprises a power electronic energy conversion system comprising a first energy storage device configured to store DC energy and a first voltage converter configured to convert a second voltage from a remote power supply into a first charging voltage configured to charge the first energy storage device. The apparatus also includes a first controller configured to control the first voltage converter to convert the second voltage into the first charging voltage and to provide the first charging voltage to the first energy storage device during a charging mode of operation and communicate with a second controller located remotely from the power electronic energy conversion system to cause a second charging voltage to be provided to the first energy storage device during the charging mode of operation to rapidly charge the first energy storage device.

A plug connection system that autonomously charges an electric vehicle (EV) is provided. The method includes: obtaining a trained machine learning (ML) model from a back-end server; capturing an image using an image capturing device of the charging system, wherein a portion of the image comprises the EV charging portal; inputting the image into the trained ML model to determine one or more regions of interest associated with the EV charging portal within the image; determining a location of the EV charging portal based on the one or more determined regions of interest and one or more image processing techniques; and providing information to maneuver the robotic arm of the charging system to a physical position based on the determined location of the EV charging portal.

In an embodiment, a power module may include: a plurality of first stages, each having an H-bridge to receive an incoming AC voltage at a first frequency and rectify the incoming AC voltage to a DC voltage; a plurality of DC buses, each to receive the DC voltage from one of the plurality of first stages; a plurality of second stages, each coupled to one of the plurality of DC buses to receive the DC voltage and output a second AC voltage at a second frequency; and a hardware configuration system having fixed components and optional components to provide different configurations for the power module.

In an embodiment, a power module may include: a plurality of first stages, each having an H-bridge to receive an incoming AC voltage at a first frequency and rectify the incoming AC voltage to a DC voltage; a plurality of DC buses, each to receive the DC voltage from one of the plurality of first stages; a plurality of second stages, each coupled to one of the plurality of DC buses to receive the DC voltage and output a second AC voltage at a second frequency; and a hardware configuration system having fixed components and optional components to provide different configurations for the power module.

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 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.

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.

An off grid electric system for charging electric vehicles. An electric storage system (BTS) is arranged to store electric power generated by a plurality of wind turbines. A plurality of electric vehicle charging stations are connected to the plurality of wind turbines, and the electric storage system by means of an off grid electric power network (CN), so as to allow each charging station to charge at least one electric vehicle (EV).

The present invention relates to automated guided vehicles, hereinafter referred to as AGVs, and specifically to AGVs used for entertainment purposes. More specifically, the present invention relates to using in a passenger carrying AGV a capacitor or a plurality of capacitors as a power source.

The present invention relates to automated guided vehicles, hereinafter referred to as AGVs, and specifically to AGVs used for entertainment purposes. More specifically, the present invention relates to using in a passenger carrying AGV a capacitor or a plurality of capacitors as a power source.