AI Driven Battery Management System - A Review

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@article{1708987,
      author = {Pranita Sanjeev Shetty, Kushal Raj K, Prof. Gopal Chandra Sarkar , Awab Ahmed Shariff, Mohammed Shabaz Delvi},
      title = {AI Driven Battery Management System - A Review},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {12},
      pages = {416-423},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1708987.pdf},
      abstract = {This paper presents about BMS with fire detection and accident alert systems for enhanced safety. The proposed system integrates several features like checking battery health, fire safety using raspberry pi, accident alert system using ADXL-345, GIM SIM8001 and GPS Neo-6m. The system utilizes Arduino UNO microcontroller and displays relevant information on an LCD. This multi-layered approach aims to significantly enhance fire safety and driver safety},
      keywords = {bms, gps, GIM SIM8001, PPS Neo-6m, ADXL 335 sensor.},
      month = {June},
  }