| 1 |
An Online Method of Estimating State of Health of a Li-Ion Battery
Goud JS, Kalpana R, Singh B
IEEE Transactions on Energy Conversion, 36(1), 111, 2021 |
| 2 |
Degradation pathways dependency of a lithium iron phosphate battery on temperature and compressive force
Kim JH, Kwak E, Oh KY
International Journal of Energy Research, 45(5), 6888, 2021 |
| 3 |
Li-ion battery state of health estimation through Gaussian process regression with Thevenin model
Lyu ZQ, Gao RJ
International Journal of Energy Research, 44(13), 10262, 2020 |
| 4 |
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 |
| 5 |
State-of-health (SOH) evaluation on lithium-ion battery by simulating the voltage relaxation curves
Qian K, Huang BH, Ran AH, He YB, Li BH, Kang FY
Electrochimica Acta, 303, 183, 2019 |
| 6 |
State of health estimation of lithium-ion batteries based on the constant voltage charging curve
Wang ZK, Zeng SK, Guo JB, Qin TC
Energy, 167, 661, 2019 |
| 7 |
A model for state-of-health estimation of lithium ion batteries based on charging profiles
Bian XL, Liu LC, Yan JY
Energy, 177, 57, 2019 |
| 8 |
Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries
Deng YW, Ying HJ, Jiaqiang E, Zhu H, Wei KX, Chen JW, Zhang F, Liao GL
Energy, 176, 91, 2019 |
| 9 |
Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis
Yang JF, Xia B, Huang WX, Fu YH, Mi C
Applied Energy, 212, 1589, 2018 |
| 10 |
State of health diagnosis model for lithium ion batteries based on real-time impedance and open circuit voltage parameters identification method
Cui YZ, Zuo PJ, Du CY, Gao YZ, Yang J, Cheng XQ, Ma YL, Yin GP
Energy, 144, 647, 2018 |
