State of charge estimation for lithium-ion battery based on Gaussian process regression with deep recurrent kernel

Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries

Kong Soon Ng, Chin‐Sien Moo, Yiping Chen et al. · Applied Energy · 2009 · 1.6K citations

Electric Battery, Electrical Engineering, Engineering +7

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs

Gregory L. Plett · Journal of Power Sources · 2004 · 1.3K citations

State Estimation, Electric Battery, Electrical Engineering +8

Gaussian Processes for Machine Learning (GPML) Toolbox

Carl Edward Rasmussen, Hannes Nickisch · Journal of Machine Learning Research · 2010 · 940 citations

Gpml Toolbox, Expectation Propagation, Covariance Functions +14

Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries

Ephrem Chemali, Phillip J. Kollmeyer, Matthias Preindl et al. · IEEE Transactions on Industrial Electronics · 2017 · 795 citations

Artificial Intelligence, Engineering, Machine Learning +20

State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach

Ephrem Chemali, Phillip J. Kollmeyer, Matthias Preindl et al. · Journal of Power Sources · 2018 · 748 citations

Electric Battery, Electrical Engineering, Deep Neural Networks +9