| The challenge and opportunity of battery lifetime prediction from field data V Sulzer, P Mohtat, A Aitio, S Lee, YT Yeh, F Steinbacher, MU Khan, ... Joule 5 (8), 1934-1955, 2021 | 272 | 2021 |
| Predicting the impact of formation protocols on battery lifetime immediately after manufacturing A Weng, P Mohtat, PM Attia, V Sulzer, S Lee, G Less, A Stefanopoulou Joule 5 (11), 2971-2992, 2021 | 96 | 2021 |
| Towards better estimability of electrode-specific state of health: Decoding the cell expansion P Mohtat, S Lee, A Stefanopoulou, J Siegel Journal of Power Sources 427, 101-111, 2019 | 89 | 2019 |
| Reversible and irreversible expansion of lithium-ion batteries under a wide range of stress factors P Mohtat, S Lee, JB Siegel, AG Stefanopoulou Journal of The Electrochemical Society 168 (10), 100520, 2021 | 62 | 2021 |
| Differential Expansion and Voltage Model for Li-ion Batteries at Practical Charging Rates P Mohtat, S Lee, V Sulzer, J Siegel, A Stefanopoulou Journal of the Electrochemical Society 167, 110561, 2020 | 62 | 2020 |
| Electrode state of health estimation for lithium ion batteries considering half-cell potential change due to aging S Lee, JB Siegel, AG Stefanopoulou, JW Lee, TK Lee Journal of The Electrochemical Society 167 (9), 090531, 2020 | 62 | 2020 |
| Comparison of expansion and voltage differential indicators for battery capacity fade P Mohtat, S Lee, JB Siegel, AG Stefanopoulou Journal of Power Sources 518, 230714, 2022 | 41 | 2022 |
| Estimation error bound of battery electrode parameters with limited data window S Lee, P Mohtat, JB Siegel, AG Stefanopoulou, JW Lee, TK Lee IEEE Transactions on Industrial Informatics 16 (5), 3376-3386, 2019 | 35 | 2019 |
| Promise and challenges of a data-driven approach for battery lifetime prognostics V Sulzer, P Mohtat, S Lee, JB Siegel, AG Stefanopoulou 2021 American Control Conference (ACC), 4427-4433, 2021 | 25 | 2021 |
| Li-ion battery electrode health diagnostics using machine learning S Lee, Y Kim 2020 American Control Conference (ACC), 1137-1142, 2020 | 23 | 2020 |
| Beyond estimating battery state of health: Identifiability of individual electrode capacity and utilization S Lee, P Mohtat, JB Siegel, AG Stefanopoulou 2018 Annual American Control Conference (ACC), 2288-2293, 2018 | 18 | 2018 |
| Industry 4.0 과 고장예지 및 건전성 관리 기술 (PHM) 의 방향 SH Lee, BD Yun Journal of KSNVE 25 (1), 22-28, 2015 | 14 | 2015 |
| Comparison of individual-electrode state of health estimation methods for lithium ion battery S Lee, JB Siegel, AG Stefanopoulou, JW Lee, TK Lee Dynamic Systems and Control Conference 51906, V002T19A002, 2018 | 13 | 2018 |
| Minimum-time measurement of open circuit voltage of battery systems S Lee, Y Kim, JB Siegel, AG Stefanopoulou 2019 American Control Conference (ACC), 884-889, 2019 | 7 | 2019 |
| Optimal control for fast acquisition of equilibrium voltage for Li-ion batteries S Lee, Y Kim, JB Siegel, AG Stefanopoulou Journal of Energy Storage 40, 102814, 2021 | 6 | 2021 |
| Electrode-specific degradation diagnostics for lithium-ion batteries with practical considerations S Lee | 3 | 2021 |
| Machine Learning-Based Electrode-Level State of Health Estimation for NMC/Graphite Battery Cells R Zheng, S Lee, JH Han, Y Kim IEEE Transactions on Transportation Electrification, 2024 | 2 | 2024 |
| Promise and Challenges of a Data-Driven Approach for Battery Lifetime Prognostics S Valentin, P Mohtat, S Lee, JB Siegel, AG Stefanopoulou arXiv preprint, 2020 | 2 | 2020 |
| Electrode-Specific State of Health Diagnostics for Lithium Ion Batteries Using Cell Voltage and Expansion S Lee, P Mohtat, JB Siegel, AG Stefanopoulou Electrochemical Society Meeting Abstracts 236, 265-265, 2019 | 1 | 2019 |
| Degradation Diagnostics in Graphite-NMC Cells Under Fast SEI Formation A Weng, P Mohtat, S Lee, G Less, A Stefanopoulou Electrochemical Society Meeting Abstracts 239, 271-271, 2021 | | 2021 |