| 1 |
A normal-gamma-based adaptive dual unscented Kalman filter for battery parameters and state-of-charge estimation with heavy-tailed measurement noise
Hou J, Yang Y, Gao T
International Journal of Energy Research, 44(5), 3510, 2020 |
| 2 |
Active cell balancing of lithium-ion battery pack based on average state of charge
Zhang ZY, Zhang LZ, Hu L, Huang CX
International Journal of Energy Research, 44(4), 2535, 2020 |
| 3 |
Parameter identification and state-of-charge estimation for lithium-polymer battery cells using enhanced sunflower optimization algorithm
El-Sehiemy RA, Hamida MA, Mesbahi T
International Journal of Hydrogen Energy, 45(15), 8833, 2020 |
| 4 |
Load-responsive model switching estimation for state of charge of lithium-ion batteries
Tang XP, Gao FR, Zou CF, Yao K, Hu WG, Wik T
Applied Energy, 238, 423, 2019 |
| 5 |
State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network
Yang FF, Li WH, Li C, Miao Q
Energy, 175, 66, 2019 |
| 6 |
Co-estimation of capacity and state-of-charge for lithium-ion batteries in electric vehicles
Li XY, Wang ZP, Zhang L
Energy, 174, 33, 2019 |
| 7 |
Fractional-order modeling and SOC estimation of lithium-ion battery considering capacity loss
Li SX, Hu MH, Li YX, Gong CC
International Journal of Energy Research, 43(1), 417, 2019 |
| 8 |
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 |
| 9 |
A novel state of charge and capacity estimation technique for electric vehicles connected to a smart grid based on inverse theory and a metaheuristic algorithm
Rahbari O, Omar N, Firouz Y, Rosen MA, Goutam S, Van Den Bossche P, Van Mierlo J
Energy, 155, 1047, 2018 |
| 10 |
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 |
