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.
Optimal Operation of Mobile Charging Stations Serving Drones and Electric Vehicles
11.06.2025
825150 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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