Enhanced SOC estimation of lithium ion batteries with RealTime data using machine learning algorithms
Obuli Pranav D.,
Preethem S. Babu,
Indragandhi V.
et al.
Abstract:Accurately estimating Battery State of Charge (SOC) is essential for safe and optimal electric vehicle operation. This paper presents a comparative assessment of multiple machine learning regression algorithms including Support Vector Machine, Neural Network, Ensemble Method, and Gaussian Process Regression for modelling the complex relationship between real-time driving data and battery SOC. The models are trained and tested on extensive field data collected from diverse drivers across varying conditions. Sta… Show more
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