Advanced Tools Used in Electric Vehicle Battery Management Systems: A Comprehensive Review

Abstract

The increasing adoption of electric vehicles (EVs) necessitates advancements in battery management systems (BMS) to enhance safety, performance, and longevity. This comprehensive review explores advanced tools and technologies integral to modern BMS, emphasising their roles in optimising EV efficiency and safety. Key areas discussed include the application of machine learning algorithms for predictive maintenance, advanced sensor integration for accurate system monitoring, and thermal management solutions to mitigate overheating risks. Additionally, the review highlights the innovative use of digital twins for real-time battery diagnostics and the integration of cloud computing for expansive data analysis. These technologies collectively improve the reliability and functionality of BMS, crucial for the broader acceptance and success of electric vehicles in the market.