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Research on Optimal Design of Large-Scale Battery Storage System Explosion Prevention Using Location-Based Weather Forecast Information

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2025, 11(2), pp.111~119
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : March 13, 2025
  • Accepted : April 15, 2025
  • Published : April 30, 2025

Beom-seok Cha 1 Hyung-Jin Moon 1 Chul-ho Jang 2 Hak-Soo Heo 1 Ryu Gab Sang 1

1동신대학교
2동신대학교 컴퓨터공학과

Accredited

ABSTRACT

This study proposes the WeBMS (Weather-based Battery Management System), which utilizes location-based weather forecast data to prevent large-capacity electric vehicle (EV) battery fires and explosions in advance. The system leverages e-SIM-based wireless communication to correct the vehicle’s location, especially when parked in underground garages or during charging, ensuring real-time operation in various environments. Even in cases of sensor malfunction, ultra-short-term forecasts from the national meteorological agency are employed to assist with battery temperature regulation and state-of-charge (SOC) control, enhancing precision. By cross-analyzing internal battery temperature and humidity sensor readings with GPS-acquired location data and localized weather information, the system enables early detection of sensor failures and potential thermal runaway risks. Based on this diagnosis, the system adjusts the cooling mechanism and limits the charge rate to improve overall safety. Through collaboration with EV manufacturers, WeBMS aims to advance its fault diagnosis algorithms and validate compatibility with different climate conditions and battery types, maximizing both vehicle safety and operational efficiency. Furthermore, the system can be extended to large-scale energy storage facilities to enhance electrical safety in broader applications.

Citation status

* References for papers published after 2023 are currently being built.