Background: Plug-in Electric Vehicle (PEV) use is expected to have a major impact on energy sources, grid loads, energy security, local emissions, and greenhouse gas emissions by substituting gasoline driven miles for electric vehicle miles traveled. The first direct impact of both battery electric vehicles and plug-in electric vehicles (PHEVs) is electric charging loads. Spatial and temporal patterns of the grid loads are an outcome of the PEV market and PEV use.
Project Goal: The goal of this project is to use and combine existing datasets to create and improve analysis tools for PEV use and electric vehicle (EV) infrastructure location and use.
Project Details: Researchers will interview potential users for the analysis tools to set priorities and focus on cleaning and combining datasets to estimate PEV fleet and driving pattern. Researchers will then include an analysis of the applicability of PHEVs and BEVs given Navy or other travel data and the resulting demand for charging. In working towards application of these tools, we will collaborate with other institutions and/or naval bases to test and implement the developed tools.
With improved analysis tools, we will be able to estimate the impact of different vehicle models, infrastructure scenarios, and policies on reducing internal combustion engine miles, increasing EV miles, and strengthening the total market for plug-in vehicles. The analysis tools will focus on the demand for electricity and greenhouse gas reduction forecast for policy and planning, including fleet management and policy analysis. These modeling tools will help the Navy design an optimum PEV fleet vehicle and charging infrastructure strategy.
Lead Research Unit: UC Davis Plug-in Hybrid Electric Vehicle Center
Principal Investigator: Gil Tal
Associated Staff/Researchers: Dr. Michael Nicholas
