Ephrem Chemali

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

Electrochemical and Electrostatic Energy Storage and Management Systems for Electric Drive Vehicles: State-of-the-Art Review and Future Trends

Ephrem Chemali, Matthias Preindl, Pawel Malysz et al. · IEEE Journal of Emerging and Selected Topics in Power Electronics · 2016 · 284 citations

Engineering, Chemical Engineering, Electric Vehicles +16

Li-ion Battery State of Charge Estimation Using Long Short-Term Memory Recurrent Neural Network with Transfer Learning

Carlos Vidal, Phillip J. Kollmeyer, Ephrem Chemali et al. · 2019 · 75 citations

Artificial Intelligence, Engineering, Machine Learning +21

A Convolutional Neural Network Approach for Estimation of Li-Ion Battery State of Health from Charge Profiles

Ephrem Chemali, Phillip J. Kollmeyer, Matthias Preindl et al. · Energies · 2022 · 69 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +16