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@article{178666,
        author = {Mohd Faisal Khan and Dr. Malatesh S H and Aman Kumar and Arun Kumar and Rajan Gupta},
        title = {IOT-BASED ELECTRIC VEHICLE BATTERY MANAGEMENT SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {4187-4190},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178666},
        abstract = {This article introduces an IoT-based Battery Management System (BMS) aimed at improving the performance, safety, and life of Electric Vehicle (EV) batteries. The system monitors the most important parameters like voltage, current, temperature, and state of charge (SoC) in real time using sensors. The data is sent to a cloud platform through a microcontroller with wireless connectivity. Remote viewing of battery status and alerts are enabled through mobile and web-based applications. The system allows for early fault detection, thermal management, and optimal energy management. Experimental outcomes prove better battery efficiency and operational reliability. The proposed Battery Management System facilitates remote diagnostics and predictive maintenance. The system provides scalable integration with EV platforms. The future capabilities include AI-driven analytics and V2G capability.},
        keywords = {IoT, Battery Management System (BMS), Electric Vehicle (EV), Real-time Monitoring, State of Charge (SoC), Cloud Computing, Predictive Maintenance, Wireless Communication, Battery Health, Smart Mobility.},
        month = {May},
        }