Optimizing Battery Lifespan and Performance in Electric Vehicles through Intelligent Battery Management Systems

Abstract

The rapid advancement of electric vehicles (EVs) is reshaping the automotive industry, propelled by environmental concerns and technological innovations. Central to this transformation is the development of efficient and reliable battery management systems (BMS), which are crucial for optimizing the lifespan and performance of EV batteries. This paper explores the role of intelligent BMS in enhancing battery health, extending lifespan, and improving performance. Through employing advanced algorithms and real-time data analytics, intelligent BMS can manage various aspects of battery operation, such as state of charge (SoC), state of health (SoH), thermal management, and cell balancing. This study discusses the components and functionalities of BMS, highlighting their impact on battery efficiency and longevity. Furthermore, it examines the challenges and future directions in BMS technology, emphasizing the importance of integrating artificial intelligence (AI) and machine learning (ML) to predict and mitigate potential battery issues. The findings suggest that intelligent BMS is crucial in addressing the technical challenges of EV batteries, for facilitating broader adoption of electric vehicles and contributing to sustainable transportation solutions.