| Digital twin for battery systems: Cloud battery management system with online state-of-charge and state-of-health estimation W Li, M Rentemeister, J Badeda, D Jöst, D Schulte, DU Sauer Journal of energy storage 30, 101557, 2020 | 523 | 2020 |
| Online capacity estimation of lithium-ion batteries with deep long short-term memory networks W Li, N Sengupta, P Dechent, D Howey, A Annaswamy, DU Sauer Journal of Power Sources 482, 228863, 2021 | 317 | 2021 |
| Battery thermal-and health-constrained energy management for hybrid electric bus based on soft actor-critic DRL algorithm J Wu, Z Wei, W Li, Y Wang, Y Li, DU Sauer IEEE Transactions on Industrial Informatics 17 (6), 3751-3761, 2020 | 282 | 2020 |
| Electrochemical model-based state estimation for lithium-ion batteries with adaptive unscented Kalman filter W Li, Y Fan, F Ringbeck, D Jöst, X Han, M Ouyang, DU Sauer Journal of Power Sources 476, 228534, 2020 | 230 | 2020 |
| Parameter sensitivity analysis of electrochemical model-based battery management systems for lithium-ion batteries W Li, D Cao, D Jöst, F Ringbeck, M Kuipers, F Frie, DU Sauer Applied Energy 269, 115104, 2020 | 207 | 2020 |
| One-shot battery degradation trajectory prediction with deep learning W Li, N Sengupta, P Dechent, D Howey, A Annaswamy, DU Sauer Journal of Power Sources 506, 230024, 2021 | 196 | 2021 |
| State-of-health estimation of lithium-ion batteries by fusing an open circuit voltage model and incremental capacity analysis X Bian, Z Wei, W Li, J Pou, DU Sauer, L Liu IEEE Transactions on Power Electronics 37 (2), 2226-2236, 2021 | 149 | 2021 |
| Data-driven systematic parameter identification of an electrochemical model for lithium-ion batteries with artificial intelligence W Li, I Demir, D Cao, D Jöst, F Ringbeck, M Junker, DU Sauer Energy Storage Materials 44, 557-570, 2022 | 143 | 2022 |
| Deep reinforcement learning-based energy management of hybrid battery systems in electric vehicles W Li, H Cui, T Nemeth, J Jansen, C Uenluebayir, Z Wei, L Zhang, Z Wang, ... Journal of Energy Storage 36, 102355, 2021 | 143 | 2021 |
| Impact of battery degradation models on energy management of a grid-connected DC microgrid S Wang, D Guo, X Han, L Lu, K Sun, W Li, DU Sauer, M Ouyang Energy 207, 118228, 2020 | 118 | 2020 |
| Battery heating for lithium-ion batteries based on multi-stage alternative currents L Zhang, W Fan, Z Wang, W Li, DU Sauer Journal of Energy Storage 32, 101885, 2020 | 117 | 2020 |
| Nonlinear health evaluation for lithium-ion battery within full-lifespan H You, J Zhu, X Wang, B Jiang, H Sun, X Liu, X Wei, G Han, S Ding, H Yu, ... Journal of Energy Chemistry 72, 333-341, 2022 | 114 | 2022 |
| Battery thermal runaway fault prognosis in electric vehicles based on abnormal heat generation and deep learning algorithms D Li, P Liu, Z Zhang, L Zhang, J Deng, Z Wang, DG Dorrell, W Li, ... IEEE Transactions on Power Electronics 37 (7), 8513-8525, 2022 | 113 | 2022 |
| A review of the internal short circuit mechanism in lithium‐ion batteries: Inducement, detection and prevention L Huang, L Liu, L Lu, X Feng, X Han, W Li, M Zhang, D Li, X Liu, ... International Journal of Energy Research, 2021 | 112 | 2021 |
| Physics-informed neural networks for electrode-level state estimation in lithium-ion batteries W Li, J Zhang, F Ringbeck, D Jöst, L Zhang, Z Wei, DU Sauer Journal of Power Sources 506, 230034, 2021 | 108 | 2021 |
| Challenges of second-life concepts for retired electric vehicle batteries MF Börner, MH Frieges, B Späth, K Spütz, HH Heimes, DU Sauer, W Li Cell Reports Physical Science 3 (10), 2022 | 105 | 2022 |
| Cloud-based health-conscious energy management of hybrid battery systems in electric vehicles with deep reinforcement learning W Li, H Cui, T Nemeth, J Jansen, C Ünlübayir, Z Wei, X Feng, X Han, ... Applied Energy 293, 116977, 2021 | 89 | 2021 |
| Battery degradation diagnosis with field data, impedance-based modeling and artificial intelligence W Li, J Chen, K Quade, D Luder, J Gong, DU Sauer Energy Storage Materials 53, 391-403, 2022 | 71 | 2022 |
| Internal short circuit evaluation and corresponding failure mode analysis for lithium-ion batteries L Liu, X Feng, C Rahe, W Li, L Lu, X He, DU Sauer, M Ouyang Journal of Energy Chemistry 61, 269-280, 2021 | 71 | 2021 |
| Forecasting battery capacity and power degradation with multi-task learning W Li, H Zhang, B van Vlijmen, P Dechent, DU Sauer Energy Storage Materials 53, 453-466, 2022 | 69 | 2022 |
Dirk Uwe SauerRWTH Aachen University / Forschungszentrum Jülichisea.rwth-aachen.de의 이메일 확인됨