| A review on the state of health estimation methods of lead-acid batteries S Jiang, Z Song Journal of Power Sources 517, 230710, 2022 | 96 | 2022 |
| Estimating the state of health of lithium-ion batteries with a high discharge rate through impedance S Jiang, Z Song Energies 14 (16), 4833, 2021 | 16 | 2021 |
| Robust Estimation of State of Charge in Lithium Iron Phosphate Cells Enabled by Online Parameter Estimation and Deep Neural Networks J Shi, D Kato, S Jiang, C Dangwal, S Moura IFAC-PapersOnLine 56 (3), 127-132, 2023 | 1 | 2023 |
| Relax, estimate, and track: a simple battery state-of-charge and state-of-health estimation method S Jiang, J Shi, S Moura arXiv preprint arXiv:2408.01127, 2024 | | 2024 |
| Nonlinear Fractional Dynamics Integrated Physics-Informed Neural Network Model for LiFePO4 Batteries in Electric Vehicles M Borah, S Jiang, J Shi, S Moura 2024 American Control Conference (ACC), 1429-1434, 2024 | | 2024 |
| Weaknesses and Improvements of the Extended Kalman Filter for Battery State-of-Charge and State-of-Health Estimation S Jiang, J Shi, M Borah, S Moura 2024 American Control Conference (ACC), 1441-1448, 2024 | | 2024 |
| A New Framework for Nonlinear Kalman Filters S Jiang, J Shi, S Moura arXiv preprint arXiv:2407.05717, 2024 | | 2024 |
| Multiple Time Scale Energy Management for a Fuel Cell Ship Propulsion System J Shi, S Jiang, UJF Aarsnes, D Nærhcim, S Moura 2024 European Control Conference (ECC), 192-199, 2024 | | 2024 |
