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PDF) Advanced Machine Learning Approach for Lithium-Ion Battery State Estimation in Electric Vehicles
A closer look at battery degradation, assisted by machine learning – pv magazine International
Building a better battery with machine learning | Argonne National Laboratory
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Lithium–ion battery book written by machine learning algorithm | News | Chemistry World
Batteries | Free Full-Text | Machine Learning Approaches for Designing Mesoscale Structure of Li-Ion Battery Electrodes
NREL Advances in Battery Research with Physics-Based Machine Learning Accelerates Characterization of Cell Performance, Lifetime, and Safety | News | NREL
Applied Sciences | Free Full-Text | State-of-Health Identification of Lithium-Ion Batteries Based on Nonlinear Frequency Response Analysis: First Steps with Machine Learning
A deep learning method for online capacity estimation of lithium-ion batteries - ScienceDirect
![PDF] Intelligent State-of-Charge and State-of-Health Estimation Framework for Li-ion Batteries in Electrified Vehicles using Deep Learning Techniques | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/69da64166d021e2f90f2681cfb05648dfcf28b85/35-Figure1.2-1.png "PDF] Intelligent State-of-Charge and State-of-Health Estimation Framework for Li-ion Batteries in Electrified Vehicles using Deep Learning Techniques | Semantic Scholar")
PDF] Intelligent State-of-Charge and State-of-Health Estimation Framework for Li-ion Batteries in Electrified Vehicles using Deep Learning Techniques | Semantic Scholar
AI Is Throwing Battery Development Into Overdrive | WIRED
Deep learning-based segmentation of lithium-ion battery microstructures enhanced by artificially generated electrodes | Nature Communications
Online capacity estimation of lithium-ion batteries with deep long short-term memory networks - ScienceDirect
A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning - ScienceDirect
Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning | Nature Communications
Deep learning networks for capacity estimation for monitoring SOH of Li‐ion batteries for electric vehicles - Kaur - 2021 - International Journal of Energy Research - Wiley Online Library
Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence
Lithium-ion Batteries | Machine Learning for Engineers
Advanced Machine Learning Approach for Lithium-Ion Battery State Estimation in Electric Vehicles | Semantic Scholar
Batteries | Xin Group @ Virginia Tech
Machine Learning for Advanced Batteries | Transportation and Mobility Research | NREL
Machine-learning-revealed statistics of the particle-carbon/binder detachment in lithium-ion battery cathodes | Nature Communications
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Application of machine learning methods for the prediction of crystal system of cathode materials in lithium-ion batteries - ScienceDirect
