“Knees” in lithium-ion battery aging trajectories PM Attia, A Bills, FB Planella, P Dechent, G Dos Reis, M Dubarry, ... Journal of The Electrochemical Society 169 (6), 060517, 2022 | 201 | 2022 |
Automated feature extraction and selection for data-driven models of rapid battery capacity fade and end of life S Greenbank, D Howey IEEE Transactions on Industrial Informatics 18 (5), 2965-2973, 2021 | 107 | 2021 |
Estimation of Li‐Ion Degradation Test Sample Sizes Required to Understand Cell‐to‐Cell Variability P Dechent, S Greenbank, F Hildenbrand, S Jbabdi, DU Sauer, DA Howey Batteries & Supercaps 4 (12), 1821-1829, 2021 | 35 | 2021 |
A minimal information set to enable verifiable theoretical battery research A Mistry, A Verma, S Sripad, R Ciez, V Sulzer, F Brosa Planella, R Timms, ... ACS Energy Letters 6 (11), 3831-3835, 2021 | 30 | 2021 |
Current-driven solvent segregation in lithium-ion electrolytes AA Wang, S Greenbank, G Li, DA Howey, CW Monroe Cell Reports Physical Science 3 (9), 2022 | 22 | 2022 |
Piecewise-linear modelling with automated feature selection for Li-ion battery end-of-life prognosis S Greenbank, DA Howey Mechanical Systems and Signal Processing 184, 109612, 2023 | 10 | 2023 |
Automated feature selection for data-driven models of rapid battery capacity fade and end of life S Greenbank, DA Howey arXiv, 2021 | 7 | 2021 |
Data-driven battery state of health diagnostics and prognostics S Greenbank University of Oxford, 2022 | 3 | 2022 |
Piecewise-linear modelling with feature selection for Li-ion battery end of life prognosis S Greenbank, DA Howey arXiv preprint arXiv:2104.07576, 2021 | 2 | 2021 |
THE ESPRESSO COFFEE PROBLEM M Čolić, MKTU Darmstadt | | 2018 |