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@article{181078,
        author = {Deepika Pai and Dr.H Sunil and Dr.Chandrashekhar S M},
        title = {A Comprehensive Review for Enhancing Electric Vehicle Performance: An IoT-Based Approach for Battery Monitoring and Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {3350-3356},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181078},
        abstract = {Electrical vehicle batteries are damaged due 
to overcharging or over-discharging, so they need to 
precisely estimate the State of Charge (SoC) to extend 
their lifespan and protect the connected components 
they power. This review presents Enhancing Electric 
vehicle (EV) performance based on Internet of Things 
(IoT) for battery management and monitoring system. 
The IoT technology display essential information 
required about the battery’s status, battery capacity 
and the charging and consuming current. Thus, this 
system integrates sensors to monitor several battery 
properties, such as voltage, current, temperature, SoC, 
and State of Health (SoH). The sensor data are 
forwarded to a central IoT platform, where 
sophisticated 
analytics 
and machine learning 
algorithms can be utilized to evaluate battery 
condition and forecast the battery's Remaining Usable 
Life (RUL). The system sounds an alarm for prompt 
replacement when a battery is nearing the end of its 
life or begins to show indications of degradation.},
        keywords = {Battery Monitoring, Battery Replacement,  Battery-Operated Vehicles, Electric Vehicles, IoT,  Machine Learning, Predictive Maintenance},
        month = {June},
        }