Smart Wireless Charging Infrastructure for Autonomous Electric Vehicles in Industrial Warehouses
Ilham NAIT HIM, Rachid LGOUL
Abstract. The introduction of autonomous guided vehicles (AGVs) is one of the pillars of Industry 4.0, whereas traditional conductive charging solutions offer major operational constraints such as human interference, mechanical maintenance, and unavailability. The paper provides an in-depth study of a smart wireless charging platform of AGVs in industrial warehouses. We compare the performance of high-power Wireless Power Transfer (WPT) systems with the performance of traditional conductive charging, considering the efficiency, misalignment tolerance and cost-effectiveness. We plot major performance metrics, using MATLAB, including a comparative analysis of WPT systems with high efficiency, reaching 94% at 22 kW. More so, we present a intelligent charge scheduler that cuts peak grid load by 35.7% through efficient scheduling. The analysis of the Return on investment (ROI) shows that although WPT has a greater initial cost their lower operational cost and higher availability of AGV results in a lower breakeven point (4.5 years) than those of conductive systems. This study proves that a smart WPT infrastructure is a well-developed and cost-effective solution that contributes to the independence and effectiveness of the modern logistics process.
Keywords
Wireless Power Transfer (WPT), Autonomous Guided Vehicles (AGVs), Electric Vehicles (EVs), Smart Charging, Industry 4.0, V2G
Published online 4/25/2026, 7 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Ilham NAIT HIM, Rachid LGOUL, Smart Wireless Charging Infrastructure for Autonomous Electric Vehicles in Industrial Warehouses, Materials Research Proceedings, Vol. 64, pp 322-328, 2026
DOI: https://doi.org/10.21741/9781644904091-40
The article was published as article 40 of the book Energy Futures
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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