Papers citing Machine Learning in Lithium-Ion Battery: Applications, Challenges, and Future Trends
A battery life prediction method based on graph neural network assisted by deep reinforcement learning
Journal of Energy Storage · 2026-09-21
Han Shen, Fenglian Li, Jianli Shao, Cheng Jin, Li He, Yuemin Ding, LiChun Xu
Read original paper ↗ ·Chemistry-transferable physics-informed neural network surrogate for lithium-ion cells with online continual learning
Journal of Energy Storage · 2026-09-22
Md Sazzad Hossen, Avimanyu Sahoo, Satadru Dey, Tanvir R. Tanim
Read original paper ↗ ·Artificial intelligence driven lithium-ion battery recycling: from materials recovery to intelligent circular energy systems
Journal of Materials Science Materials Theory · 2026-10-02
Junaid Aslam, Muhammad Arif Khan, Ali Usman, Muhammad Javed, Muhammad Usman
Read original paper ↗ ·A comprehensive review of data-driven electrochemical impedance spectroscopy (EIS) approaches for Li-ion battery SoH and RUL estimations
Renewable and Sustainable Energy Reviews · 2026-10-06
Kashif Raza, Ouadii Ouledboutaarjia, Rashid Ahmed Rifat, Maitane Berecibar, Md Sazzad Hosen
Read original paper ↗ ·A Comprehensive Review of Artificial Intelligence-Driven Battery Management and Emerging Battery Technologies for Electric Vehicles
Energies · 2026-10-07
Mlungisi Ntombela
Read original paper ↗ ·