Publication Detail

Modeling the Potential of BEVs and PHEVs in GHG Reduction Based on Household-Level GPS Data

UCD-ITS-RP-18-35

Reprint

Plug-In Hybrid & Electric Vehicle Research Center

Available online at: https://trid.trb.org/view/1495769

Suggested Citation:
Ji, Wei and Gil Tal (2018) Modeling the Potential of BEVs and PHEVs in GHG Reduction Based on Household-Level GPS Data. Transportation Research Board 97th Annual Meeting

There has been a continuous effort to quantify the expected greenhouse gas reductions from plug- in electric vehicles (PEVs). Most existing studies are based on standardized driving cycles to compare the performance of PEVs and conventional internal combustion engine (ICE) vehicles. This study is based on assigning the most efficient plug in hybrid or full electric vehicles to a household based on the household travel behavior as collected by GPS tracking data of thousands of vehicles’ real trips in California. What’s more, the authors further explore the market share difference in assigning optimal vehicle models by considering vehicle-based and household-based travel demand, and they found that given currently available technology in many cases adoption of Plug-in Hybrid Electric vehicles (PHEVs) will not necessarily result in significantly higher greenhouse gas (GHG) emissions comparing to battery electric vehicles (BEVs) and PHEVs have advantages to satisfy household’s long-distance travel demand.

Key words: Electric batteries, electric vehicles, global positioning system, greenhouse gases, households, plug-in hybrid vehicles, travel demand