In this paper we propose a novel cohort-based dynamical model for describing the dynamics of charge of electric vehicles (EVs) entering a large EV parking/charge facility. Based on such model, we address the problem of optimally managing the charging and thus allocate power among the EVs so to minimize costs while maintaining customer satisfaction and fulfilling operational constraints. The problem is formulated as a Linear Program (LP), to be solved over a given period of time, on the basis of parameters estimated at the beginning of such period. Our approach is validated through simulations inspired by real electricity price data, demonstrating the potential for relevant cost saving compared to a First-In-First-Served (FIFS) strategy.

A Cohort-Based Optimization Model for Electric Vehicles Charging / Calafiore, Giuseppe C.; Ambrosino, Luca. - ELETTRONICO. - 59:(2025), pp. 163-168. (Intervento presentato al convegno 1st IFAC Workshop on Smart Energy System for Efficient and Sustainable Smart Grids and Smart Cities, SENSYS 2025 tenutosi a Bari (Ita) nel June 18 – 20, 2025) [10.1016/j.ifacol.2025.08.130].

A Cohort-Based Optimization Model for Electric Vehicles Charging

Calafiore, Giuseppe C.;Ambrosino, Luca
2025

Abstract

In this paper we propose a novel cohort-based dynamical model for describing the dynamics of charge of electric vehicles (EVs) entering a large EV parking/charge facility. Based on such model, we address the problem of optimally managing the charging and thus allocate power among the EVs so to minimize costs while maintaining customer satisfaction and fulfilling operational constraints. The problem is formulated as a Linear Program (LP), to be solved over a given period of time, on the basis of parameters estimated at the beginning of such period. Our approach is validated through simulations inspired by real electricity price data, demonstrating the potential for relevant cost saving compared to a First-In-First-Served (FIFS) strategy.
2025
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3003911