A Cohort-Based Optimization Model for Electric Vehicles Charging

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.

Authors

Institutions

Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.08.130
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Cohort-Based Optimization Model for Electric Vehicles Charging

Giuseppe C. Calafiore, Luca Ambrosino
IFAC-PapersOnLine
Electric Vehicles and Infrastructure
article

A Cohort-Based Optimization Model for Electric Vehicles Charging

Giuseppe C. Calafiore, Luca Ambrosino
article en

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.

IFAC-PapersOnLineVol. 59(9)
Politecnico di Torino (IT)
Openalex Percentile: Top 75%
Electric Vehicles and Infrastructure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.