Mobile EV Charging: Design, Optimization and Evaluation of Battery-Integrated Robots to Improve Electric Mobility
A.F. Sülecik (Student TU Delft)
A. Menendez Agudin (TU Delft - DC systems, Energy conversion & Storage)
P. Bauer (TU Delft - DC systems, Energy conversion & Storage)
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Abstract
This study explores the potential of mobile charging systems to overcome the challenges of traditional Electric Vehicle (EV) charging infrastructures, such as the scarcity of charging points, lengthy charging times, and urban space constraints. It introduces an autonomous mobile system tailored to satisfy daily charging demands in various conditions, presenting a flexible alternative to fixed charging stations. Through an optimization process, the operational effectiveness of a robot-like mobile charging system is assessed under different grid capacities and battery configurations. The results indicate that these systems can significantly reduce peak grid demand and improve the charging experience by increasing availability and reducing waiting times. Profitability varies with seasonal changes and grid capacity. A switchable battery configuration, which utilizes fewer carriers to mobilize batteries, is shown to lower investment costs and boost financial returns when compared to traditional charging poles, making mobile charging systems a viable and efficient solution to meet the increasing demands of urban EV charging.