Phillip J. Kollmeyer

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

Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: State-of-the-Art

Carlos Vidal, Pawel Malysz, Phillip J. Kollmeyer et al. · IEEE Access · 2020 · 450 citations · Full text

Artificial Intelligence, Electric Battery, Electrical Engineering +15

800-V Electric Vehicle Powertrains: Review and Analysis of Benefits, Challenges, and Future Trends

Iman Aghabali, Jennifer Bauman, Phillip J. Kollmeyer et al. · IEEE Transactions on Transportation Electrification · 2020 · 368 citations

Electrical Engineering, Energy Efficient Drive, Engineering +9

Panasonic 18650PF Li-ion Battery Data

Phillip J. Kollmeyer · Data Archiving and Networked Services (DANS) · 2018 · 208 citations · Full text