charging infrastructure

The study will utilize mathematical modeling, including artificial intelligence, to design a policy for the optimal use of plug-in hybrid electric vehicles and identify charging locations for future battery electric vehicle drivers

To meet sales requirements of zero-emission transit buses, medium-duty (MD) trucks, and heavy-duty (HD) trucks in California, improvements in battery performance and costs are necessary. This project will support this transition through analysis of battery capabilities, charging infrastructure availability, and vehicle routing strategies.

This research examines both passive and active consumer resistance to EVs. Passive resistance may be characterized as never entering a consideration and purchase process, i.e., unawareness. Active resistance is a decision made as the result of evaluation—up to and including the experience of owning and driving an EV.