Practical Evaluation of Lithium-Ion Battery State-of-Charge Estimation Using Time-Series Machine Learning for Electric Vehicles

This paper presents a practical usability investigation of recurrent neural networks (RNNs) to determine the best-suited machine learning method for estimating electric vehicle (EV) batteries’ state of charge. Using models from multiple published sources and cross-validation testing with several dri...

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Bibliographic Details
Main Authors: Marat Sadykov, Sam Haines, Mark Broadmeadow, Geoff Walker, David William Holmes
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/4/1628