| 1 |
A novel data-model fusion state-of-health estimation approach for lithium-ion batteries
Ma ZY, Yang RX, Wang ZP
Applied Energy, 237, 836, 2019 |
| 2 |
Lithium-ion battery state-of-health estimation in electric vehicle using optimized partial charging voltage profiles
Meng JH, Cai L, Stroe DI, Luo GZ, Sui X, Teodorescu R
Energy, 185, 1054, 2019 |
| 3 |
Data-driven lithium-ion battery states estimation using neural networks and particle filtering
Zhang CB, Zhu YY, Dong GZ, Wei JW
International Journal of Energy Research, 43(14), 8230, 2019 |
| 4 |
Electrochemical impedance study of commercial LiNi0.80Co0.15Al0.05O2 electrodes as a function of state of charge and aging
Zhu XH, Macia LF, Jaguemont J, de Hoog J, Nikolian A, Omar N, Hubin A
Electrochimica Acta, 287, 10, 2018 |
| 5 |
Adaptive sliding mode observers for lithium-ion battery state estimation based on parameters identified online
Ning B, Cao BG, Wang B, Zou ZY
Energy, 153, 732, 2018 |
| 6 |
A fast estimation algorithm for lithium-ion battery state of health
Tang XP, Zou CF, Yao K, Chen GH, Liu BY, He ZW, Gao FR
Journal of Power Sources, 396, 453, 2018 |
| 7 |
Integration of sampling based battery state of health estimation method in electric vehicles
Ozkurt C, Camci F, Atamuradov V, Odorry C
Applied Energy, 175, 356, 2016 |
| 8 |
State of health estimation algorithm of LiFePO4 battery packs based on differential voltage curves for battery management system application
Berecibar M, Garmendia M, Gandiaga I, Crego J, Villarreal I
Energy, 103, 784, 2016 |
| 9 |
Online state of health estimation on NMC cells based on predictive analytics
Berecibar M, Devriendt F, Dubarry M, Villarreal I, Omar N, Verbeke W, Van Mierlo J
Journal of Power Sources, 320, 239, 2016 |
| 10 |
A Study of Cell-to-Cell Interactions and Degradation in Parallel Strings: Implications for the Battery Management System
Pastor-Fernandez C, Bruen T, Widanage WD, Gama-Valdez MA, Marco J
Journal of Power Sources, 329, 574, 2016 |
