Advanced Metering Infrastructure for Electric Vehicle Charging

Modeling and Optimization for Electric Vehicle Charging Infrastructure

We study how the electric vehicles (EVs) of today would perform in meeting the driving needs of vehicle owners, and propose an optimization model to find locations for charging stations needed to support EV usage. We take publicly available data from travel surveys that are person oriented and construct vehicle centric datasets. Chicago and Seattle metropolitan areas are selected as showcases f...

Advanced Metering Infrastructure Performance

Anticipatory Coordination of Electric Vehicle Allocation to Fast Charging Infrastructure

The limited range of electric vehicles (EVs) in combination with the limited capacity of current fast charging infrastructure are both causes for a limited adoption of EVs. In order to reduce the general inconvenience that EV users experience when having to wait for available fast charging stations and to lessen the danger of damaging the infrastructure by overloading it, an efficient coordinat...

Master-Slave Control Scheme in Electric Vehicle Smart Charging Infrastructure

WINSmartEV is a software based plug-in electric vehicle (PEV) monitoring, control, and management system. It not only incorporates intelligence at every level so that charge scheduling can avoid grid bottlenecks, but it also multiplies the number of PEVs that can be plugged into a single circuit. This paper proposes, designs, and executes many upgrades to WINSmartEV. These upgrades include new ...

Design of Fast Response Smart Electric Vehicle Charging Infrastructure

The response time of the smart electrical vehicle (EV) charging infrastructure is the key index of the system performance. The traffic between the smart EV charging station and the control center dominates the response time of the smart charging stations. To accelerate the response of the smart EV charging station, there is a need for a technology that collects the information locally and relay...