Kollmeyer, Phillip J.

Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries

Chemali, E., Kollmeyer, P. J., Preindl, M., Ahmed, R., & Emadi, A. (2018) · IEEE Transactions on Industrial Electronics

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 906

State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach

Chemali, E., Kollmeyer, P. J., Preindl, M., & Emadi, A. (2018) · Journal of Power Sources

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 818

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

Vidal, C., Malysz, P., Kollmeyer, P., & Emadi, A. (2020) · IEEE Access

Battery Modeling and ManagementElectric and Hybrid Vehicle Technologies

Cited by 512

xEV Li-Ion Battery Low-Temperature Effects—Review

Vidal, C., Gross, O., Gu, R., Kollmeyer, P., & Emadi, A. (2019) · IEEE Transactions on Vehicular Technology

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 187