At the Forefront of EV Charging Innovation: AI Solutions for a Sustainable Future

This past summer, NUARI and Norwich University hosted a one-day Artificial Intelligence (AI) and Digital Transformation Colloquium that set the stage for exploring NUARI's and Norwich University's expanding AI efforts. Over the next several weeks, we will share videos featuring presentations highlighting work by Norwich and NUARI faculty and staff.

The event was designed not only to disseminate knowledge but also to ignite curiosity and engagement in AI. The Colloquium showcased NUARI's and Norwich's commitment to advancing AI research and its real-world applications, focusing on three innovative testbeds and a lineup of diverse presentations.

Our next video features Michael Cross, PhD, Assistant Professor, Electrical and Computer Engineering, Norwich University, and Kerry Kurcz, NUARI, Senior Data Scientist, providing details on Testbed 2 – EV Charging Optimization. The goal of this project was to develop a method to utilize AI to reduce no-charge windows for light-duty battery electric vehicles (EVs) from hour-scale to minute-scale to reduce charging costs, to help alleviate customers’ charging concerns, and to help balance grid demand/costs.

Norwich University has received Department of Education funding to create the AI Center, whose mission is to conduct multiple forms and levels of research, deliver educational programming, and create workforce development projects to meet the growing national and regional requirements for an advanced computing-capable workforce. In collaboration with NUARI, Norwich is developing experiential learning with technical capabilities in various areas such as cybersecurity, advanced manufacturing, justice studies, and information dominance.