A hybrid model for state of charge estimation of lithium-ion batteries utilizing improved adaptive extended Kalman filter and long short-term memory neural network

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 · 845 citations

Engineering, Computer Science, Electrical Engineering +17

Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries

Prashant Shrivastava, Mohd Yamani Idna Idris, Saad Mekhilef · Renewable and Sustainable Energy Reviews · 2019 · 681 citations

Engineering, Chemical Engineering, Systems Engineering +16

State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks

Hicham Chaoui, Chinemerem Christopher Ibe-Ekeocha · IEEE Transactions on Vehicular Technology · 2017 · 555 citations

Engineering, Automotive Engineering, Systems Engineering +17

Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries

Fangdan Zheng, Yinjiao Xing, Jiuchun Jiang et al. · Applied Energy · 2016 · 546 citations

Engineering, Electrical Engineering, Electrochemical Engineering +15

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries

Shunli Wang, Yongcun Fan, Siyu Jin et al. · Reliability Engineering & System Safety · 2022 · 537 citations · Full text

Engineering, Chemical Engineering, Materials Science +14