A trip-purpose based model of Plug-in Electric Vehicle charging demand
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Abstract
This paper describes a method for trip-purpose based modeling Plug-in Electric Vehicle (PEV) travel profiles to be used in estimating charging load times and durations. The method uses concepts from Activity-Based Travel Demand modeling to schedule PEV driver activities resulting in driving times and durations, from which the PEV charging profile may be determined (including when the PEV is available to charge and the amount of charging needed). The model is built using statistics from the 2009 National Household Transportation Survey. The framework for the model is presented, and after completing minor calibrations, the model will be used, in future work, to develop a multi-day travel demand model which can be adjusted to capture specific travel behavior given various demographics, urban population density, or other desirable attributes which could allow the model to more accurately represent the PEV travel demand of a specific region or city.