A comprehensive overview of AI based methods for SoC estimation of Li-ion Batteries in EV

State of charge (SoC) estimation is a critical aspect of managing lithium-ion (Li-ion) batteries in electric vehicles (EVs). Various Artificial Intelligence (AI) techniques have been used to enhance SoC estimation accuracy, such as convolutional neural networks, recurrent neural networks, generative networks, and more. This article provides a thorough survey of AI-based models utilized for SoC estimation in Li-ion batteries, synthesizing findings from diverse studies. By comparing the performance of different models : classical Machine Learning, convolutional, recurrent and generative, insights into the effectiveness and limitations of various AI approaches are highlighted. The review aims to guide future research efforts toward developing robust and accurate SoC estimation methods crucial for optimizing EV battery management systems.