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Progress in estimating the state of health using transfer learning–based electrochemical impedance spectroscopy of lithium-ion batteries
G Qi, G Du, K Wang - Ionics, 2025 - Springer
With the widespread application of energy storage systems, health monitoring of lithium-ion
batteries (LIBs) has become important. Transfer learning (TL) provides new ideas and …
batteries (LIBs) has become important. Transfer learning (TL) provides new ideas and …
A Meta-Learning Method for Few-Shot Multi-Domain State of Health Estimation of Lithium-ion Batteries
Diverse electrochemical characteristics and complex operational conditions of the lithium-
ion battery cause multi-domain discrepancies in practical applications, which poses huge …
ion battery cause multi-domain discrepancies in practical applications, which poses huge …
Improving Lithium-ion Battery Life Prediction with an Enhanced Multi-Layer Perceptron Model Featuring Autoencoder-Based Feature Extraction
Y Bai, H Feng - 2024 3rd International Conference on Smart …, 2024 - ieeexplore.ieee.org
This study proposes an improved multi-layer perceptron (MLP) model based on
autoencoder (AE) feature extraction to predict the life of lithium-ion batteries. In this study …
autoencoder (AE) feature extraction to predict the life of lithium-ion batteries. In this study …