Charging station

About: Charging station is a research topic. Over the lifetime, 7621 publications have been published within this topic receiving 69810 citations. The topic is also known as: EVSE & charging point.

Charging system that enables emergency resolutions for charging a battery

Abstract: A combination comprises a handle module that is attachable to a detachable shaft module for collectively performing a surgical procedure, a first removable, rechargeable battery pack connectable to the handle module for providing electric power to the handle module during a surgical procedure and a charging station for charging the first battery pack when the battery pack is removed from the handle module and inserted into the charging station. The charging station comprises means for rapidly charging the first battery pack when a rapid charge user input for the battery pack is received by the charging station.

Surgical charging system that charges and/or conditions one or more batteries

Abstract: A combination is disclosed which comprises a handle module that is attachable to a detachable shaft module for collectively performing a surgical procedure, a removable, rechargeable battery pack connectable to the handle module for providing electric power to the handle module during a surgical procedure, and an intelligent charging station for charging and discharging the battery pack when the battery pack is removed from the handle module and inserted into the charging station. The battery pack comprises a memory for storing charging and discharging data for the battery pack. The intelligent charging station charges and discharges the battery pack based on the charging and discharging data stored in the memory of the battery pack.

Smart electric vehicle (ev) charging and grid integration apparatus and methods

Abstract: An expert system manages a power grid wherein charging stations are connected to the power grid, with electric vehicles connected to the charging stations, whereby the expert system selectively backfills power from connected electric vehicles to the power grid through a grid tie inverter (if present) within the charging stations. In more traditional usage, the expert system allows for electric vehicle charging, coupled with user preferences as to charge time, charge cost, and charging station capabilities, without exceeding the power grid capacity at any point. A robust yet accurate state of charge (SOC) calculation method is also presented, whereby initially an open circuit voltage (OCV) based on sampled battery voltages and currents is calculated, and then the SOC is obtained based on a mapping between a previously measured reference OCV (ROCV) and SOC. The OCV-SOC calculation method accommodates likely any battery type with any current profile.

Device with Electric Appliance and Charging Station

Abstract: A system includes an electric appliance, which is operated with replaceable and rechargeable batteries, a charging station and two or more battery units. The charging station has two or more receptacles for holding and charging the battery units. A first coupling is provided between a battery unit and the appliance and a second coupling is provided between a battery unit and the charging station such that a battery unit connected to the appliance can be uncoupled from the appliance by one-handed operation and can be coupled to the charging station for charging by one-handed operation. Similarly, a battery unit connected to the charging station can be coupled to the appliance and uncoupled from the charging station by one-handed operation.

Modeling of Plug-in Hybrid Electric Vehicle Charging Demand in Probabilistic Power Flow Calculations

Abstract: Millions of electric vehicles (EVs), especially plug-in hybrid EVs (PHEVs), will be integrated into the power grid in the near future. Due to their large quantity and complex charging behavior, the impact of substantial PHEVs charging on the power grid needs to be investigated. Since the charging behavior of PHEVs in a certain regional transmission network or a local distribution network is determined by different uncertain factors, their overall charging demand tends to be uncertain and in this situation probabilistic power flow (PPF) can be applied to analyze the impact of PHEVs charging on the power grid. However, currently there is no suitable model of the overall charging demand of PHEVs available for PPF calculations. In this paper, a methodology of modeling the overall charging demand of PHEVs is proposed. The proposed methodology establishes a single PHEV charging demand model, and then employs queuing theory to describe the behavior of multiple PHEVs. Moreover, two applications are given, i.e., modeling the overall charging demand of PHEVs at an EV charging station and in a local residential community, respectively. Comparison between PPF calculations and Monte Carlo simulation are made on a modified IEEE 30-bus system integrated with the two demand models proposed.