EV Battery Management System with Fire Safety and Dual Mode Charge Monitoring
Battery storage forms the most crucial part of any Electric Vehicle (EV), as it stores the energy required for the operation of the vehicle. To ensure maximum output and safe functioning, an efficient Battery Management System (BMS) is essential. The BMS monitors critical battery parameters, determines the State of Charge (SoC), and provides protective functions to guarantee safe and optimal operation. It plays an integral role in safeguarding both the user and the battery by maintaining the cells within their safe operating limits. The proposed system not only monitors the battery and manages charging processes but also includes protective mechanisms to prevent accidents. Key features of the model include current and voltage measurement, SoC estimation, fault protection, battery status detection, and an LCD for real-time display of battery information. Additionally, the system supports both fast and slow charging modes. Fast charging is designed for quick energy replenishment, reducing downtime and improving vehicle usability, whereas slow charging helps in maintaining battery health by reducing thermal and chemical stress. By intelligently managing both charging modes, the BMS enhances battery life, supports user convenience, and contributes to the overall reliability of the EV. Electric Vehicles (EVs), powered by electric motors and rechargeable batteries, rely heavily on such advanced battery systems to replace traditional internal combustion engine (ICE) vehicles and promote sustainable transportation. Moreover, the system supports both fast and slow charging modes. Fast charging enables quicker energy replenishment, ideal for urgent use or long-distance travel, while slow charging ensures battery longevity by reducing thermal and chemical stress on the cells. The BMS intelligently switches between these modes based on battery health, temperature, and user requirements, thereby optimizing performance and life span.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-06
- DOI
- https://doi.org/10.5281/zenodo.15349561
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00