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Phillip J. Kollmeyer

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2024
[j5]
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  - journals/access/GuirguisAIKA24
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  - https://dblp.org/rec/journals/access/GuirguisAIKA24
John Guirguis, Ahmed Abdulmaksoud, Mohanad Ismail, Phillip J. Kollmeyer, Ryan Ahmed:
Transformer-Based Deep Learning Strategies for Lithium-Ion Batteries SOX Estimation Using Regular and Inverted Embedding. IEEE Access 12: 167108-167119 (2024)
2021
[j4]
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  - journals/access/NaguibKE21
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Mina G. Naguib, Phillip J. Kollmeyer, Ali Emadi:
Lithium-Ion Battery Pack Robust State of Charge Estimation, Cell Inconsistency, and Balancing: Review. IEEE Access 9: 50570-50582 (2021)
2020
[j3]
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  - journals/access/VidalMKE20
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Carlos Vidal, Pawel Malysz, Phillip J. Kollmeyer, Ali Emadi:
Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: State-of-the-Art. IEEE Access 8: 52796-52814 (2020)
2019
[j2]
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  - journals/tvt/VidalGGKE19
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Carlos Vidal, Oliver Gross, Ran Gu, Phillip J. Kollmeyer, Ali Emadi:
xEV Li-Ion Battery Low-Temperature Effects - Review. IEEE Trans. Veh. Technol. 68(5): 4560-4572 (2019)
2018
[j1]
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  - journals/tie/ChemaliKPAE18
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Ephrem Chemali, Phillip J. Kollmeyer, Matthias Preindl, Ryan Ahmed, Ali Emadi:
Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries. IEEE Trans. Ind. Electron. 65(8): 6730-6739 (2018)

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