| A co-estimation framework for state of charge and parameters of lithium-ion battery with robustness to aging and usage conditions D Natella, S Onori, F Vasca IEEE Transactions on Industrial Electronics 70 (6), 5760-5770, 2022 | 10 | 2022 |
| Battery state of health estimation via reinforcement learning D Natella, F Vasca 2021 European Control Conference (ECC), 1657-1662, 2021 | 5 | 2021 |
| A Q-learning approach for SoftECU design in hybrid electric vehicles D Natella, F Vasca 2020 24th International Conference on System Theory, Control and Computing …, 2020 | 4 | 2020 |
| A velocity-thresholds power splitting optimization for hybrid electric vehicles D Natella, E Mostacciuolo, S Baccari, F Vasca 2019 18th European Control Conference (ECC), 4148-4153, 2019 | 4 | 2019 |
| Hardware-in-the-loop simulation for functional verification of multiple control units in hybrid electric vehicles F Ferrara, D Natella, L Milia, V Braca, P Poletto, S Esposito, D Amoroso, ... SAE Technical Paper, 2019 | 1 | 2019 |
| Parameters identification for open circuit voltage characteristic in battery models E Mostacciuolo, L Iannelli, D Natella, S Baccari, F Vasca 2023 IEEE International Conference on Electrical Systems for Aircraft …, 2023 | | 2023 |
| An interlaced strategy for open circuit voltage and capacity estimation for lithium-ion batteries D Natella, S Onori, F Vasca 2022 IEEE Vehicle Power and Propulsion Conference (VPPC), 1-6, 2022 | | 2022 |
| Alimentatore intelligente per batterie S Baccari, G Angelone, S Florio, L Iannelli, V Mariani, E Mostacciulo, ... IT Patent 102,020,000,025,441, 2022 | | 2022 |
Francesco VascaFull Professor of Automatic Control, University of SannioVerified email at unisannio.it
