The key element for the deployment of electric vehicles (EVs) transportation is the development of efficient and user-friendly charging stations, taking into account a number of factors of an extremely diverse nature. In fact, modeling the operations of a public EV Charging Station (EVCS) is a complex activity involving numerous technical, logistical, and behavioral aspects, such as demand variability, heterogeneous vehicle characteristics, power management, and quality of service in terms of waiting time. In this paper, a simulator for EVCSs is presented as a basic tool for the study and optimization of management strategies. The adopted model performs a statistical analysis from a set of parameters and stochastic models and estimates user satisfaction, which is found to be related to energy sold and thus to profit. Tests on synthetic scenarios show the potential of this tool.
A Simulator of EV Charging Stations for the optimization of the Management Strategy
Antonino Laudani
Membro del Collaboration Group
;Giovanni AielloMembro del Collaboration Group
;Salvatore CocoMembro del Collaboration Group
;Santi Agatino RizzoMembro del Collaboration Group
;Nunzio SalernoMembro del Collaboration Group
;Stefania Conti.Membro del Collaboration Group
2025-01-01
Abstract
The key element for the deployment of electric vehicles (EVs) transportation is the development of efficient and user-friendly charging stations, taking into account a number of factors of an extremely diverse nature. In fact, modeling the operations of a public EV Charging Station (EVCS) is a complex activity involving numerous technical, logistical, and behavioral aspects, such as demand variability, heterogeneous vehicle characteristics, power management, and quality of service in terms of waiting time. In this paper, a simulator for EVCSs is presented as a basic tool for the study and optimization of management strategies. The adopted model performs a statistical analysis from a set of parameters and stochastic models and estimates user satisfaction, which is found to be related to energy sold and thus to profit. Tests on synthetic scenarios show the potential of this tool.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.