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All Journal International Journal of Mechanical, Electrical and Civil Engineering
Jessica Ann Smith
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Engineering

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A Comparative Study on Electric Vehicle Battery Management Systems Using Machine Learning for Enhanced Safety and Longevity David Alexander Lee; Jessica Ann Smith; Emily Rose Johnson
International Journal of Mechanical, Electrical and Civil Engineering Vol. 1 No. 2 (2024): April : International Journal of Mechanical, Electrical and Civil Engineering
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmecie.v1i2.72

Abstract

This paper presents a comparative analysis of various battery management systems (BMS) in electric vehicles, with a focus on incorporating machine learning techniques to improve battery safety and extend battery life. The study evaluates conventional BMS against machine learning-enhanced models in predicting thermal runaway, state of charge (SOC), and state of health (SOH) under diverse operating conditions. Results indicate that machine learning algorithms outperform conventional methods, providing more accurate SOC and SOH estimations, thus enhancing vehicle safety and longevity.
Co-Authors David Alexander Lee Emily Rose Johnson