electric vehicle (EV)

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.

Researchers at the University of Southern California developed a centrally coordinated freight routing system and ran several simulations to minimize the social costs of freight transportation, also accounting for adoption of electric trucks. This policy brief summarizes the findings from that research and provides policy implications.

California has set goals for transitioning the freight sector to near-zero-emission and zero-emission vehicles (ZEVs). California offers several incentive programs to encourage adoption of ZEVs, but purchase decisions are driven by complex factors beyond simple purchase price. Researchers at UC Davis deployed a stated-preference survey of fleet and carrier companies to collect information about vehicle purchase preferences and how they might be influenced by various incentive programs.

The adoption of plug-in electric vehicles (PEVs) is considered to be a potential solution to reduce transportation-related emissions. People’s vehicle choice and driving behavior will have important implications for the realized emissions reductions from PEVs. Therefore, PEV-related policy studies require good understanding of human behavior. This dissertation proposes data-driven approaches to simulate behavior and provides a discussion of the implications for three PEV-related topics.

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.