Optimal Double-Layer Smart EV Charging Using a Portable Multiconnector System

The reluctance of clients to actively engage in electric vehicle (EV) charging, combined with the scarcity of charging stations (EVCS), creates accessibility challenges and inefficiencies that hinder EV adoption. Existing planning approaches rely on static queue structures and fixed infrastructure, limiting their responsiveness to real-time demand and user urgency. To address this gap, we introduce a patented Portable Multi-Connector System (PMS) that reduces CAPEX by allowing multiple EVs to connect to a single charger without major infrastructure upgrades. The system is governed by a two-stage strategy: (i) a Double-Layer Laxity-Based Allocation (DLBA), managed by a Queue Management System (QMS), enabling dynamic, non-preemptive reordering of EVs based on urgency; and (ii) an enhanced Energy Management System (EMS) with a penalty mechanism to discourage non-critical charging, thereby reducing energy costs and mitigating grid impact. Designed to improve user experience by increasing accessibility and reducing waiting times while ensuring efficient infrastructure utilization, the PMS-DLBA-EMS framework is validated through a shopping center case study, demonstrating substantial reductions in operational expenses and superior service delivery compared to traditional architectures and static scheduling.

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Publication Details

Journal
IEEE Transactions on Transportation Electrification
Published
2025-11-11
DOI
https://doi.org/10.1109/tte.2025.3631551
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
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article

Optimal Double-Layer Smart EV Charging Using a Portable Multiconnector System

Elhoussin Elbouchikhi, Soumia El Hani, Mounir Ghogho, Youssef Amry et al.
IEEE Transactions on Transportation Electrification
Electric Vehicles and Infrastructure
article

Optimal Double-Layer Smart EV Charging Using a Portable Multiconnector System

Elhoussin Elbouchikhi, Soumia El Hani, Mounir Ghogho, Youssef Amry, Franck Le Gall
article en

Abstract

The reluctance of clients to actively engage in electric vehicle (EV) charging, combined with the scarcity of charging stations (EVCS), creates accessibility challenges and inefficiencies that hinder EV adoption. Existing planning approaches rely on static queue structures and fixed infrastructure, limiting their responsiveness to real-time demand and user urgency. To address this gap, we introduce a patented Portable Multi-Connector System (PMS) that reduces CAPEX by allowing multiple EVs to connect to a single charger without major infrastructure upgrades. The system is governed by a two-stage strategy: (i) a Double-Layer Laxity-Based Allocation (DLBA), managed by a Queue Management System (QMS), enabling dynamic, non-preemptive reordering of EVs based on urgency; and (ii) an enhanced Energy Management System (EMS) with a penalty mechanism to discourage non-critical charging, thereby reducing energy costs and mitigating grid impact. Designed to improve user experience by increasing accessibility and reducing waiting times while ensuring efficient infrastructure utilization, the PMS-DLBA-EMS framework is validated through a shopping center case study, demonstrating substantial reductions in operational expenses and superior service delivery compared to traditional architectures and static scheduling.

IEEE Transactions on Transportation ElectrificationVol. 12(1)
Mohammed V University (MA), Centre National de la Recherche Scientifique (FR), Institut Supérieur de l'Électronique et du Numérique (FR), Université Mohammed VI Polytechnique (MA), Laboratoire des systèmes et applications des technologies de l'information et de l'énergie (FR), OCP Group (Morocco) (MA), CY Cergy Paris Université (FR)
Openalex Percentile: Top 67%
Electric Vehicles and Infrastructure
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