Advanced Battery Management Systems (BMS) for Electric Vehicles: Ensuring Efficiency, Safety, and Longevity in Energy Storage
It is essential to have advanced battery management systems (BMS) to maximize the efficiency, safety, and durability of the batteries that are utilized in electric vehicles (EVs). Developing more advanced battery management systems (BMS) technologies is becoming increasingly vital as the demand for electric vehicles (EVs) increases. This study aims to investigate the most recent developments in battery management systems (BMS) for electric vehicles (EVs), with a particular emphasis on how these systems improve battery efficiency, guarantee operational safety, and extend battery life. In the study, essential components of modern BMS are investigated. These components include estimate techniques for state-of-charge (SOC) and state-of-health (SOH), thermal management strategies, and defect detection mechanisms. Additionally, it tackles the connection of battery management systems (BMS) with vehicle control systems to provide real-time monitoring and adaptive management of battery performance. The research sheds light on the role that developing technologies, such as sophisticated sensors, machine learning algorithms, and communication protocols, play in developing capabilities for building management systems (BMS). The purpose of this study is to provide insights into how battery management systems (BMS) may support the expanding adoption of electric vehicles while addressing concerns related to energy economy, safety, and battery longevity. This will be accomplished by providing a complete review of present and future developments in BMS technology.
Authors
- V. Samuthira Pandi
- D Shobana (ORCID: https://orcid.org/0000-0002-8880-4884)
- V.M. Varatharaju
- Ch Srivardhan Kumar
- Niranjan Kumar (ORCID: https://orcid.org/0000-0002-5526-5562)
- K. Suresh Kumar
Institutions
- R. G. Kar Medical College and Hospital (IN)
- College of Applied Sciences, Nizwa (OM)
- Rajalakshmi Engineering College
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/sustained63638.2024.11074026
- Citations
- 1
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.20