| 1 |
A new approach to consider the influence of aging state on Lithium-ion battery state of power estimation for hybrid electric vehicle
Esfandyari MJ, Esfahanian V, Yazdi MRH, Nehzati H, Shekoofa O
Energy, 176, 505, 2019 |
| 2 |
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 |
| 3 |
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 |
| 4 |
Data-based fractional differential models for non-linear dynamic modeling of a lithium-ion battery
Jiang YF, Xia B, Zhao X, Nguyen T, Mi C, de Callafon RA
Energy, 135, 171, 2017 |
| 5 |
Novel methods for estimating lithium-ion battery state of energy and maximum available energy
Zheng LF, Zhu JG, Wang GX, He TT, Wei YY
Applied Energy, 178, 1, 2016 |
| 6 |
The effects of high frequency current ripple on electric vehicle battery performance
Uddin K, Moore AD, Barai A, Marco J
Applied Energy, 178, 142, 2016 |
| 7 |
Co-estimation of state-of-charge, capacity and resistance for lithium-ion batteries based on a high-fidelity electrochemical model
Zheng LF, Zhang L, Zhu JG, Wang GX, Jiang JC
Applied Energy, 180, 424, 2016 |
| 8 |
A critical review of electric vehicle charging using solar photovoltaic
Bhatti AR, Salam Z, Aziz MJBA, Yee KP
International Journal of Energy Research, 40(4), 439, 2016 |
| 9 |
Enhanced closed loop State of Charge estimator for lithium-ion batteries based on Extended Kalman Filter
Perez G, Garmendia M, Reynaud JF, Crego J, Viscarret U
Applied Energy, 155, 834, 2015 |
| 10 |
Experimental set-up and procedures to test and validate battery fuel gauge algorithms
Awari GV, Pattipati B, Balasingam B, Pattipati KR, Bar-Shalom Y
Applied Energy, 160, 404, 2015 |
