cost of ownership

This report presents a detailed analysis of vehicle manufacturing costs and market-level TCO accounting for technology uncertainties, behavioral heterogeneity, and key decision parameters of automakers. Using the estimates of the vehicle manufacturing costs, the cost of electrification of California’s LDV fleet is estimated to achieve the state’s net-zero emission goal by 2045.

This policy brief summarizes findings from recent research estimated PEVs’ total cost of ownership for the period of 2020–2030, their cost-competitiveness with conventional vehicles, and consequently the cost of electrification of California’s fleet of more than 30 million light-duty vehicles.

EV Explorer 2.0 includes several important features and functionalities to support the TNC driver use case that are not found in any other available tool: (1) It allows users to estimate TCO for used vehicles as well as new (others only estimate TCO for new vehicles); (2) Outputs include ridehail-driving income estimates, accounting for EV trip bonuses offered by Uber, net driving costs; (3) Estimates of total cost of driving (TCD) include charging network membership fees and charging session fees (in addition to electricity prices).

This data from the Cost of Plug-In EV Ownership project was collected from academic research, industry technical reports, and vehicle technology data maintained by the EPA and the Alternative Fuel Data Center. The household-level data used for market segmentation is obtained from the 2019 California Vehicle Survey hosted by NREL.

This research developed EV Explorer 2.0, an online vehicle cost calculator (VCC) to meet the requirements of transportation network company (TNC) drivers considering acquiring an electric vehicle (EV).

By 2030, the state is targeting 90% of passenger miles traveled on TNCs to be fueled by electricity. To support this objective, UC Davis researchers developed an online tool to help gig drivers understand their potential cost savings from EVs.

This project aims to assess the current and future performance and costs of battery electric trucking, through reviewing key recent studies in the U.S. and presenting a detailed comparison of their cost modeling scope and coverage.