Zero-Emission Vehicles & Fuel Technologies

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.

This project examines the potential for zero-emission and near-zero emission truck technologies from both economic and environmental perspectives, focusing on their use in short-haul drayage service.

This report evaluates the market status and potential freight market penetration of zero emission vehicles (ZEVs) and near-ZEVs in the medium and heavy duty class within the California market. It focuses on intra-urban rather than long-haul deployment scenarios.

This project studies urban, last-mile freight operations in order to improve California's freight efficiency.

This project evaluates different scenarios of low-carbon fuel in the U.S. transportation industry.

This project creates a sensor to measure the fuel quality of natural gas, with the intention of advancing renewable natural gas as a vehicular fuel source.

The goal of the project is to evaluate mid to long-term energy storage needs of the electric grid for select fleet electrification scenarios.

This research will explore vehicle-grid interactions with a focus on environmental benefits for future scenarios in which electric vehicles reach substantial market share.