Phillip J. Kollmeyer

According to our database, Phillip J. Kollmeyer authored at least 6 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

2024

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

2021

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

2020

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

2019

xEV Li-Ion Battery Low-Temperature Effects - Review.

Carlos Vidal, Oliver Gross, Ran Gu, Phillip J. Kollmeyer, Ali Emadi

IEEE Trans. Veh. Technol., 2019

2018

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