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@article{172197,
        author = {Nagaraja S R and Reddam Jagadeswar Reddy and Varikuti  Sampath Kumar Reddy and Kalimisetty Sujith and Nitturu Nikhil Sai and Dumpa Sri Vardhan Reddy},
        title = {A Battery Monitoring System based on IoT for  Electric Vehicles},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {2316-2322},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172197},
        abstract = {Electric vehicles (EVs) have gained increasing prominence because of their environmental benefits, but monitoring the health of batteries is one big challenge. Hence, this paper proposes a real-time battery monitoring system for electric vehicles that measures and keeps track of important parameters like voltage and current. The Arduino UNO is integrated with current and voltage sensors to collect data and upload it to the ThingSpeak server. A machine learning model based on the Random Forest and Decision Tree algorithms is trained to estimate the health of the battery and its state of charge (SoC). Besides, a friendly user website interface is also created to show real-time voltage, battery health, and alerts. This holistic approach ensures better management of batteries, assures safety, and reduces operating costs.},
        keywords = {Internet of Things, Electric Vehicles Battery, Grid, State of Charge, Message Queue Telemetry Transport (MQTT), Battery Management System.},
        month = {January},
        }