This research will study the challenges of installation and operation of a reliable network of public DC fast charging stations. While existing studies show costs ranging from $20,000 - $150,000, the researchers find costs range anywhere between $122,000 and $440,000.
This project will determine the market penetration and charging infrastructure needs of multi-EV households by region and community in California from 2022 to 2040, with a particular focus on how access to charging will affect the rate at which households acquire additional EVs and on the difficulties of expanding EV ownership in Disadvantaged Communities in California.
This research will determine whether charging at roadside rest areas, especially those along interstate highways, are likely to meet the needs of the trucks that have multi-day trips.
The objective of this research was to determine the possibilities for and barriers to the provision of battery charging infrastructure for heavy-duty electric trucks at roadside rest areas in California.
This dissertation introduces a novel online prediction algorithm to forecast solar generation and EV charging power and two real-world microgrid applications equipped with solar generation and battery energy storage systems.
This research project will study battery technologies that can significantly increase the energy density to at least 500 Wh/kg or higher and reduce charging time to fifteen minutes or lower and have a cell cost to the original equipment manufacturer of $70/kWh or lower in a large battery pack (>500 kWh).
In this research briefing, NCST experts provided updates on the current state of the electric vehicle (EV) market and charging ecosystem and how policy solutions can address EV charging challenges.
As a part of an innovative Intelligent Transportation System (ITS), this paper investigates the effectiveness of transportation-based microgrid configurations in reducing carbon dioxide (CO2) emissions and electricity costs.
Using stated preference choice experiments, this study tries to fill the two gaps in the literature mentioned here: identify the drivers of choice of charging location during non-routine charging events and quantitative estimates of consumer preference for pricing strategies and other charging infrastructure attributes in case of routine nonhome charging events.
