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Internet of Things Drives Chinas Green Transport Transformation: Optimising Electric Vehicle Charging Infrastructure

Leqi Guo

Abstract


This As China leads the global electric vehicle (EV) market, uneven charging infrastructure and grid pressure remain key challenges. This study applies Internet of Things (IoT) technologies to optimise EV charging via intelligent scheduling, adaptive load management,
and strategic layout planning. A hybrid algorithm, enhanced with deep and reinforcement learning, leverages multi-source data. Simulations
and pilot tests show improved wait times, facility use, and rural-urban equity, demonstrating IoTs potential to support green mobility, grid
stability, and Chinas carbon neutrality goals.

Keywords


IoT; EV Charging; Intelligent Scheduling; Load Management

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References


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DOI: http://dx.doi.org/10.70711/frim.v3i10.7512

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