Optimal Operation of Mobile Charging Stations Serving Drones and Electric Vehicles

Zuhair Abdalmenem; Ahmed M. Benaya; Eiman Elghanam; Mohamed S. Hassan; Ahmed Osman

doi:10.1109/GPECOM65896.2025.11061846

Optimal Operation of Mobile Charging Stations Serving Drones and Electric Vehicles

Zuhair Abdalmenem^*
, Ahmed M. Benaya
, Eiman Elghanam
, Mohamed S. Hassan
, Ahmed Osman

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Mobile charging stations (MCS) provide on-demand energy to electric vehicles (EVs) and drones, addressing limitations of fixed infrastructure. This paper proposes a novel multi-objective optimization model for allocating a MCS's energy capacity between EVs and drones, balancing profitability (net revenue from charging services) and service coverage (demand satisfaction). Using a weighted-sum approach and Pareto front analysis, we identify optimal trade-offs between these objectives. Simulations demonstrate that a balanced strategy can significantly increase coverage with minimal profit sacrifice. These findings offer actionable insights for MCS operators, highlighting the potential for broader service reach without compromising financial viability.

Original language	English
Title of host publication	Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1162-1167
Number of pages	6
ISBN (Electronic)	9798331513238
DOIs	https://doi.org/10.1109/GPECOM65896.2025.11061846
State	Published - 2025
Externally published	Yes
Event	7th IEEE Global Power, Energy and Communication Conference, GPECOM 2025 - Bochum, Germany Duration: 11 Jun 2025 → 13 Jun 2025

Publication series

Name	Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025

Conference

Conference	7th IEEE Global Power, Energy and Communication Conference, GPECOM 2025
Country/Territory	Germany
City	Bochum
Period	11/06/25 → 13/06/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Drones
Pareto front
electric vehicles
energy management
mobile charging station
multi-objective optimization

ASJC Scopus subject areas

Computer Networks and Communications
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Mechanical Engineering
Control and Optimization

Access to Document

10.1109/GPECOM65896.2025.11061846

Cite this

Abdalmenem, Z., Benaya, A. M., Elghanam, E., Hassan, M. S., & Osman, A. (2025). Optimal Operation of Mobile Charging Stations Serving Drones and Electric Vehicles. In Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025 (pp. 1162-1167). (Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GPECOM65896.2025.11061846

Abdalmenem, Zuhair ; Benaya, Ahmed M. ; Elghanam, Eiman et al. / Optimal Operation of Mobile Charging Stations Serving Drones and Electric Vehicles. Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025. Institute of Electrical and Electronics Engineers Inc., 2025. pp. 1162-1167 (Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025).

@inproceedings{b1c2355f584b42d7b1bf00ff5378383c,

title = "Optimal Operation of Mobile Charging Stations Serving Drones and Electric Vehicles",

abstract = "Mobile charging stations (MCS) provide on-demand energy to electric vehicles (EVs) and drones, addressing limitations of fixed infrastructure. This paper proposes a novel multi-objective optimization model for allocating a MCS's energy capacity between EVs and drones, balancing profitability (net revenue from charging services) and service coverage (demand satisfaction). Using a weighted-sum approach and Pareto front analysis, we identify optimal trade-offs between these objectives. Simulations demonstrate that a balanced strategy can significantly increase coverage with minimal profit sacrifice. These findings offer actionable insights for MCS operators, highlighting the potential for broader service reach without compromising financial viability.",

keywords = "Drones, Pareto front, electric vehicles, energy management, mobile charging station, multi-objective optimization",

author = "Zuhair Abdalmenem and Benaya, \{Ahmed M.\} and Eiman Elghanam and Hassan, \{Mohamed S.\} and Ahmed Osman",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 7th IEEE Global Power, Energy and Communication Conference, GPECOM 2025 ; Conference date: 11-06-2025 Through 13-06-2025",

year = "2025",

doi = "10.1109/GPECOM65896.2025.11061846",

language = "English",

series = "Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1162--1167",

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address = "United States",

}

Abdalmenem, Z, Benaya, AM, Elghanam, E, Hassan, MS & Osman, A 2025, Optimal Operation of Mobile Charging Stations Serving Drones and Electric Vehicles. in Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025. Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025, Institute of Electrical and Electronics Engineers Inc., pp. 1162-1167, 7th IEEE Global Power, Energy and Communication Conference, GPECOM 2025, Bochum, Germany, 11/06/25. https://doi.org/10.1109/GPECOM65896.2025.11061846

Optimal Operation of Mobile Charging Stations Serving Drones and Electric Vehicles. / Abdalmenem, Zuhair; Benaya, Ahmed M.; Elghanam, Eiman et al.
Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025. Institute of Electrical and Electronics Engineers Inc., 2025. p. 1162-1167 (Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimal Operation of Mobile Charging Stations Serving Drones and Electric Vehicles

AU - Abdalmenem, Zuhair

AU - Benaya, Ahmed M.

AU - Elghanam, Eiman

AU - Hassan, Mohamed S.

AU - Osman, Ahmed

PY - 2025

Y1 - 2025

N2 - Mobile charging stations (MCS) provide on-demand energy to electric vehicles (EVs) and drones, addressing limitations of fixed infrastructure. This paper proposes a novel multi-objective optimization model for allocating a MCS's energy capacity between EVs and drones, balancing profitability (net revenue from charging services) and service coverage (demand satisfaction). Using a weighted-sum approach and Pareto front analysis, we identify optimal trade-offs between these objectives. Simulations demonstrate that a balanced strategy can significantly increase coverage with minimal profit sacrifice. These findings offer actionable insights for MCS operators, highlighting the potential for broader service reach without compromising financial viability.

AB - Mobile charging stations (MCS) provide on-demand energy to electric vehicles (EVs) and drones, addressing limitations of fixed infrastructure. This paper proposes a novel multi-objective optimization model for allocating a MCS's energy capacity between EVs and drones, balancing profitability (net revenue from charging services) and service coverage (demand satisfaction). Using a weighted-sum approach and Pareto front analysis, we identify optimal trade-offs between these objectives. Simulations demonstrate that a balanced strategy can significantly increase coverage with minimal profit sacrifice. These findings offer actionable insights for MCS operators, highlighting the potential for broader service reach without compromising financial viability.

KW - Drones

KW - Pareto front

KW - electric vehicles

KW - energy management

KW - mobile charging station

KW - multi-objective optimization

UR - https://www.scopus.com/pages/publications/105011264558

U2 - 10.1109/GPECOM65896.2025.11061846

DO - 10.1109/GPECOM65896.2025.11061846

M3 - Conference contribution

AN - SCOPUS:105011264558

T3 - Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025

SP - 1162

EP - 1167

BT - Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE Global Power, Energy and Communication Conference, GPECOM 2025

Y2 - 11 June 2025 through 13 June 2025

ER -

Abdalmenem Z, Benaya AM, Elghanam E, Hassan MS, Osman A. Optimal Operation of Mobile Charging Stations Serving Drones and Electric Vehicles. In Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025. Institute of Electrical and Electronics Engineers Inc. 2025. p. 1162-1167. (Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025). doi: 10.1109/GPECOM65896.2025.11061846

Optimal Operation of Mobile Charging Stations Serving Drones and Electric Vehicles

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this