charging | National Center for Sustainable Transportation

A Deep Dive Into Corridor DC Fast Chargers in California

Principal Investigator Tisura Gamage
University of California, Davis

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.

Project Status

In Progress

Assessing the Charging Needs of Multi-EV Households in California

Principal Investigator Gil Tal, Ph.D.
University of California, Davis

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.

Project Status

In Progress

Assessment of Requirements, Costs, and Benefits of Providing Battery Charging for Battery Electric Heavy-duty Trucks at Safety Roadside Rest Areas Facilities

Principal Investigator Andrew Burke, Ph.D.
University of California, Davis

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.

Project Status

Complete

Assessment of Requirements, Costs, and Benefits of Providing Charging Facilities for Battery-Electric Heavy-Duty Trucks at Safety Roadside Rest Areas

Research Product Type

Research Report

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.

Autonomous and Coordinated Energy Management Systems: Implementing On-Line Prediction, Electric Vehicle Time Series Analysis to Microgrid Control

Research Product Type

Dissertation / Thesis

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.

Cost Sensitivity and Charging Choices of Plug-in Electric Vehicle Drivers – A Stated Preference Study

Principal Investigator Gil Tal, Ph.D.
University of California, Davis

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.

Project Status

In Progress

Critical Infrastructure Systems: Distributed Decision Processes over Network and Uncertainties

Research Product Type

Dissertation / Thesis

This dissertation focuses primarily on the system analysis of critical infrastructure systems (CIS), with a particular interest to address the modeling and computational challenges brought by uncertainties, interdependencies and distributed decision making of various components and stakeholders involved in CIS.

Data-Driven Intelligent Charging Models and Innovative Pricing Strategies for Managing Electric Vehicles

Research Product Type

Dissertation / Thesis

This dissertation introduces new novel data-driven coordination techniques through intelligent controlled charging applied to drayage trucks operations and indirect controlled charging by proposing innovative pricing strategies for LD, MD, and HD EVs.

Dataset: Routing of Battery Electric Heavy-Duty Trucks for Drayage Operations

Research Product Type

Data

This dataset presents the data utilized for the project, "Routing of Battery Electric Heavy-Duty Trucks for Drayage Operations".

Dataset: Spatial scenarios for market penetration of plug-in battery electric trucks in the United States

Research Product Type

Data

To understand potential pathways to GHG reductions, this project developed the U.S. Transportation Transitions Model (US TTM) to study various scenarios of zero-emission vehicle (ZEV) market penetration in the U.S.