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Machine learning‐based model for lithium‐ion batteries in BMS of electric/hybrid electric aircraft - Hashemi - 2021 - International Journal of Energy Research - Wiley Online Library
Machine learning‐based model for lithium‐ion batteries in BMS of electric/hybrid electric aircraft - Hashemi - 2021 - International Journal of Energy Research - Wiley Online Library

Autonomous discovery of battery electrolytes with robotic experimentation and machine learning – Physics World
Autonomous discovery of battery electrolytes with robotic experimentation and machine learning – Physics World

Machine learning pipeline for battery state-of-health estimation | Nature Machine Intelligence
Machine learning pipeline for battery state-of-health estimation | Nature Machine Intelligence

Application of DFT-based machine learning for developing molecular electrode materials in Li-ion batteries - RSC Advances (RSC Publishing)
Application of DFT-based machine learning for developing molecular electrode materials in Li-ion batteries - RSC Advances (RSC Publishing)

Machine Learning Method to Improve Fast Charging Battery Development – Full-Stack Feed
Machine Learning Method to Improve Fast Charging Battery Development – Full-Stack Feed

Machine learning prediction of coordination energies for alkali group elements in battery electrolyte solvents - Physical Chemistry Chemical Physics (RSC Publishing)
Machine learning prediction of coordination energies for alkali group elements in battery electrolyte solvents - Physical Chemistry Chemical Physics (RSC Publishing)

Applied Sciences | Free Full-Text | State-of-Health Identification of Lithium-Ion Batteries Based on Nonlinear Frequency Response Analysis: First Steps with Machine Learning
Applied Sciences | Free Full-Text | State-of-Health Identification of Lithium-Ion Batteries Based on Nonlinear Frequency Response Analysis: First Steps with Machine Learning

Batteries | Xin Group @ Virginia Tech
Batteries | Xin Group @ Virginia Tech

Machine Learning for Battery Applications: White Paper - intellegens
Machine Learning for Battery Applications: White Paper - intellegens

Research – D3BATT
Research – D3BATT

Batteries | Free Full-Text | Machine Learning Approaches for Designing Mesoscale Structure of Li-Ion Battery Electrodes
Batteries | Free Full-Text | Machine Learning Approaches for Designing Mesoscale Structure of Li-Ion Battery Electrodes

GitHub - wanbin-song/BatteryMachineLearning: Machine learning based Lithium-Ion battery capacity estimation using multi-Channel charging Profiles
GitHub - wanbin-song/BatteryMachineLearning: Machine learning based Lithium-Ion battery capacity estimation using multi-Channel charging Profiles

A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning - ScienceDirect
A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning - ScienceDirect

Energies | Free Full-Text | State-of-Charge Estimation of Battery Pack under Varying Ambient Temperature Using an Adaptive Sequential Extreme Learning Machine
Energies | Free Full-Text | State-of-Charge Estimation of Battery Pack under Varying Ambient Temperature Using an Adaptive Sequential Extreme Learning Machine

PDF] Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning | Semantic Scholar
PDF] Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning | Semantic Scholar

Honorable Mention Winnerʼs Article: High-Fidelity State-of-Charge Estimation of Li-Ion Batteries using Machine Learning - HORIBA
Honorable Mention Winnerʼs Article: High-Fidelity State-of-Charge Estimation of Li-Ion Batteries using Machine Learning - HORIBA

Machine-learning techniques used to accurately predict battery life
Machine-learning techniques used to accurately predict battery life

STMicroelectronics reveals motion sensor with machine learning for high-accuracy, battery-friendly activity tracking - i-Micronews
STMicroelectronics reveals motion sensor with machine learning for high-accuracy, battery-friendly activity tracking - i-Micronews

PDF] A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning | Semantic Scholar
PDF] A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning | Semantic Scholar

Closed-loop optimization of fast-charging protocols for batteries with machine learning | Nature
Closed-loop optimization of fast-charging protocols for batteries with machine learning | Nature

Machine Learning for Accelerated Discovery of promising Battery Materials
Machine Learning for Accelerated Discovery of promising Battery Materials

Predicting battery life with early cyclic data by machine learning - Zhu - 2019 - Energy Storage - Wiley Online Library
Predicting battery life with early cyclic data by machine learning - Zhu - 2019 - Energy Storage - Wiley Online Library

Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence
Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence

Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence
Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence

Application of machine learning methods for the prediction of crystal system of cathode materials in lithium-ion batteries - ScienceDirect
Application of machine learning methods for the prediction of crystal system of cathode materials in lithium-ion batteries - ScienceDirect