A Bayesian Optimized Deep Learning Approach for Accurate State of Charge Estimation of Lithium Ion Batteries Used for Electric Vehicle Application von Vedhanayaki, Selvaraj, Indragandhi, Vairavasundaram

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Certain investigation and implementation of Coulomb counting based unscented Kalman filter for state of charge estimation of lithium-ion batteries used in electric vehicle applicat... von Vedhanayaki, Selvaraj, Indragandhi, Vairavasundaram

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Flyback converter employed non-dissipative cell equalization in electric vehicle lithium-ion batteries von Selvaraj, Vedhanayaki, Vairavasundaram, Indragandhi

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A comprehensive review of state of charge estimation in lithium-ion batteries used in electric vehicles von Selvaraj, Vedhanayaki, Vairavasundaram, Indragandhi

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Implementation of Discrete Wavelet Combined Bayesian-Optimized Gaussian Process Regression-Based SOC Prediction of EV Battery von Selvaraj, Vedhanayaki, Vairavasundaram, Indragandhi, Obuli Pranav, D., Shukla, Shubhi, Ashok, Bragadeshwaran

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A Bayesian optimized machine learning approach for accurate state of charge estimation of lithium ion batteries used for electric vehicle application von Selvaraj, Vedhanayaki, Vairavasundaram, Indragandhi

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