Mobility Model for the Estimation of the Spatiotemporal Energy Demand of Battery Electric Vehicles in Singapore

In order to facilitate detailed research on charging infrastructure, battery energy content and charging strategies, we generate a model to illustrate the spatiotemporal energy consumption in Singapore. The model considers the... [ view full abstract ]

In order to facilitate detailed research on charging
infrastructure, battery energy content and charging strategies,
we generate a model to illustrate the spatiotemporal energy
consumption in Singapore. The model considers the influence
of realistic travel and driving behavior patterns in Singapore.
Furthermore, it employs a conceivable future population of
battery electric vehicles (BEVs), based on the current vehicle
population in Singapore as well as the spectrum of commercially
available BEVs. We showcase the possible applications of the
model by using a basic charging behavior model to analyze
the additional spatiotemporal energy demand, generated by the
introduction of BEVs.