| 1 |
Neural network-based learning and estimation of batterystate-of-charge: A comparison study between direct and indirect methodology
Sun W, Qiu YC, Sun L, Hua QS
International Journal of Energy Research, 44(13), 10307, 2020 |
| 2 |
State-of-Charge Estimation for Li-Ion Batteries: A More Accurate Hybrid Approach
Misyris GS, Doukas DI, Papadopoulos TA, Labridis DP, Agelidis VG
IEEE Transactions on Energy Conversion, 34(1), 109, 2019 |
| 3 |
An Enhanced Hybrid Battery Model
Kim T, Qiao W, Qu LY
IEEE Transactions on Energy Conversion, 34(4), 1848, 2019 |
| 4 |
A dual mode distributed economic control for a fuel cell- photovoltaic-battery hybrid power generation system based on marginal cost
Yang HQ, Li Q, Wang TH, Qiu YB, Chen WR
International Journal of Hydrogen Energy, 44(36), 25229, 2019 |
| 5 |
Incremental capacity analysis and differential voltage analysis based state of charge and capacity estimation for lithium-ion batteries
Zheng LF, Zhu JG, Lu DDC, Wang GX, He TT
Energy, 150, 759, 2018 |
| 6 |
Differential voltage analysis based state of charge estimation methods for lithium-ion batteries using extended Kalman filter and particle filter
Zheng LF, Zhu JG, Wang GX, Lu DDC, He TT
Energy, 158, 1028, 2018 |
| 7 |
Multilayer Modular Balancing Strategy for Individual Cells in a Battery Pack
Cao X, Zhong QC, Qiao YC, Deng ZQ
IEEE Transactions on Energy Conversion, 33(2), 526, 2018 |
| 8 |
A dynamic coordinated control strategy of WTG-ES combined system for short-term frequency support
Li Y, He L, Liu F, Tan Y, Cao YJ, Luo LF, Shahidehpour M
Renewable Energy, 119, 1, 2018 |
| 9 |
A New State-of-Charge Control Derivation Method for Hybrid Battery Type Integration
Mukherjee N, De D
IEEE Transactions on Energy Conversion, 32(3), 866, 2017 |
| 10 |
On state-of-charge determination for lithium-ion batteries
Li Z, Huang J, Liaw BY, Zhang JB
Journal of Power Sources, 348, 281, 2017 |
