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 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.     «

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 availa...     »