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@article{178661,
        author = {Arush Ambavale and Krishna Ardhapurkar and Ananya Halkare and Amit Sharma and Mukund Kulkarni},
        title = {IoT-Enabled Wireless EV Charging with Proximity Detection and Battery Monitoring},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5448-5451},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178661},
        abstract = {This paper introduces an IoT-enabled wireless electric vehicle (EV) charging system that integrates real-time proximity detection and battery health monitoring. The system utilizes inductive coupling for power transfer and the MQTT protocol for cloud-based data analytics. Performance evaluations reveal an efficiency of 85%, a proximity detection accuracy of ±1.5 cm, and a data transmission latency of less than 250 ms, ensuring optimal energy management. Comparative analysis with existing charging architectures demonstrates improved efficiency and reduced latency, positioning this system as a viable solution for smart transportation infrastructure.},
        keywords = {Automatic Charging, Electric Vehicles, Inductive Charging, Smart Roads, Transportation},
        month = {May},
        }