Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries. - Ephrem Chemali; Phillip J. Kollmeyer; Matthias Preindl; Ryan M. Ahmed; Ali Emadi (IEEE Trans. Ind. Electron., 2018)

xEV Li-Ion Battery Low-Temperature Effects - Review. - Carlos Vidal; Oliver Gross 002; Ran Gu; Phillip J. Kollmeyer; Ali Emadi (IEEE Trans. Veh. Technol., 2019)

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; Ali Emadi (IEEE Access, 2020)

Lithium-Ion Battery Pack Robust State of Charge Estimation, Cell Inconsistency, and Balancing: Review. - Mina G. Naguib; Phillip J. Kollmeyer; Ali Emadi (IEEE Access, 2021)

Transformer-Based Deep Learning Strategies for Lithium-Ion Batteries SOX Estimation Using Regular and Inverted Embedding. - John Guirguis; Ahmed Abdulmaksoud; Mohanad Ismail; Phillip J. Kollmeyer; Ryan M. Ahmed (IEEE Access, 2024)

Comprehensive Comparison of Machine Learning and Kalman Filter Battery State of Charge Estimators. - Rômulo Vieira; Phillip J. Kollmeyer; Lea Pitault; Ali Emadi (IEEE Access, 2025)