UC Davis researchers previously created a geographic information systems (GIS) tool to measure electric vehicle distribution in California. This project expands the tool to encompass the whole country.
Principal InvestigatorSeshadri Srinivasa Raghavan, Ph.D.
University of California, Davis
This dissertation presents a unified framework for understanding plug-in electric vehicle (PEV) usage, with special focus on household factors, user preferences, and PEV technologies. The researcher also looks at energy, emissions, and infrastructure-related factors.
This dissertation communicates results from three different studies on emissions reductions, charging infrastructure, and travel behavior associated with plug-in electric vehicles (PEVs).
This research will improve long-term sustainability by identifying how and why (or why not) transportation electrification (TE) projects align with regional and local transportation goals. The research will result in a deep dive case study that can serve as a template for evaluating future TE expenditures with respect to identifying and quantifying disadvantaged community benefits.
This research responds to identified gaps within the field of life cycle analysis while contributing a more nuanced, accurate understanding of the lithium-ion batteries value chain.
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 CISs.
This project will study the response in electric vehicle charging behavior by implementing a carbon-based pricing scheme and studying activity patterns of drayage trucks operations by simulating different opportunity charging scenarios to estimate state of charge and load profiles.
