Artificial Intelligence–Enabled Battery Management Systems for Electric Vehicle
DOI:
https://doi.org/10.64882/ijrt.v14.iS1.1150Abstract
Artificial Intelligence (AI) is increasingly being integrated into Electric Vehicle Battery Management Systems (BMS) to overcome the limitations of conventional rule-based methods. AI techniques enable accurate estimation of key battery parameters such as State of Charge (SoC), State of Health (SOH), and Remaining Useful Life (RUL), while improving fault detection, thermal management, and charging optimization. This approach enhances battery safety, efficiency, and lifespan under dynamic operating conditions. Despite challenges related to data availability and real-time implementation, AI-enhanced BMS offers a promising pathway for improving electric vehicle performance and accelerating sustainable transportation.
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