smart charging | National Center for Sustainable Transportation

Developing an Artificial Neural Network (ANN) to Forecast EVs' Trip Destinations and Charging Behavior

Principal Investigator Hanif Tayarani
University of California, Davis

This research aims to develop an Artificial Neural Network (ANN) to forecast EVs’ trip destinations and charging behavior–information that is essential for electricity load aggregators to effectively manage charging loads.

Project Status

In Progress

Smart Charging of Electric Vehicle Fleets: Modeling, Algorithm Development, and Grid Impact Analysis, with Emphasis on Fleets of Transit and Heavy-Duty Freight Vehicles

Principal Investigator Christian Viteri
Georgia Institute of Technology

In the research, smart charging will be explored in the larger context of electric vehicle fleets carrying freight and/or people to assess its potential to again decrease charging costs, increase carbon-free energy usage, decrease spatially-concentrated peak demands on the grid, and lower infrastructure investment.

Project Status

In Progress

Smart Charging of Electric Vehicles: Algorithms, Ramifications, and Hardware Development

Principal Investigator Kartik Sastry
Georgia Institute of Technology

The project focuses on smart charging of electric vehicles (EVs) – specifically the optimization-based charging of EVs over time.

Project Status

In Progress