Charging Station Locator and Battery Monitoring System for Electric Vehicle

In order to reduce range anxiety in electric vehicles (EVs), this research proposes an integrated system for real-time battery monitoring and charging station identification. The system uses Coulomb counting to determine the battery's state of charge (SoC) with great accuracy and GPS technology to track the location of the vehicle. The NodeMCU, also called the ESP8266, a Wi-Fi-enabled microcontroller, analyses voltage and current sensor data to provide ongoing battery health monitoring. Drivers can find nearby charging stations and plan their journeys more efficiently according to a simple user interface that combines charging station data with MATLAB-based visualisations. This method ensures dependability and user ease by fusing cloud-based analytics with hardware efficiency. The system promotes broad acceptance of electric mobility by filling in gaps in the current EV infrastructure and improving the overall EV driving experience.

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Publication Details

Published
2025-02-06
DOI
https://doi.org/10.1109/areev64307.2025.10925194
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
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article

Charging Station Locator and Battery Monitoring System for Electric Vehicle

V Kandasamy, R B Manjula, J Ramprabu, V Bagawathy et al.
IoT-based Smart Home Systems
article

Charging Station Locator and Battery Monitoring System for Electric Vehicle

V Kandasamy, R B Manjula, J Ramprabu, V Bagawathy, Gowtham Sharma SKS
article en

Abstract

In order to reduce range anxiety in electric vehicles (EVs), this research proposes an integrated system for real-time battery monitoring and charging station identification. The system uses Coulomb counting to determine the battery's state of charge (SoC) with great accuracy and GPS technology to track the location of the vehicle. The NodeMCU, also called the ESP8266, a Wi-Fi-enabled microcontroller, analyses voltage and current sensor data to provide ongoing battery health monitoring. Drivers can find nearby charging stations and plan their journeys more efficiently according to a simple user interface that combines charging station data with MATLAB-based visualisations. This method ensures dependability and user ease by fusing cloud-based analytics with hardware efficiency. The system promotes broad acceptance of electric mobility by filling in gaps in the current EV infrastructure and improving the overall EV driving experience.

Affordable and clean energy
Openalex Percentile: Top 96%
IoT-based Smart Home Systems
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Charging Station Locator and Battery Monitoring System for Electric Vehicle — V Kandasamy, R B Manjula, et al. · (2025) | TGRS Research Map | TGRS