| 1 |
Multi-model probabilities based state fusion estimation method of lithium-ion battery for electric vehicles: State-of-energy
Lin C, Mu H, Xiong R, Cao JY
Applied Energy, 194, 560, 2017 |
| 2 |
A physics-based fractional order model and state of energy estimation for lithium ion batteries. Part II: Parameter identification and state of energy estimation for LiFePO4 battery
Li XY, Pan K, Fan GD, Lu RG, Zhu CB, Rizzoni G, Canova M
Journal of Power Sources, 367, 202, 2017 |
| 3 |
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 |
| 4 |
Recursive-Least-Squares-Based Real-Time Estimation of Supercapacitor Parameters
Reichbach N, Kuperman A
IEEE Transactions on Energy Conversion, 31(2), 810, 2016 |
| 5 |
An online model-based method for state of energy estimation of lithium-ion batteries using dual filters
Dong GZ, Chen ZH, Wei JW, Zhang CB, Wang P
Journal of Power Sources, 301, 277, 2016 |
| 6 |
A novel Gaussian model based battery state estimation approach: State-of-Energy
He HW, Zhang YZ, Xiong R, Wang C
Applied Energy, 151, 41, 2015 |
| 7 |
A method for state of energy estimation of lithium-ion batteries based on neural network model
Dong GZ, Zhang X, Zhang CB, Chen ZH
Energy, 90, 879, 2015 |
| 8 |
Adaptive unscented Kalman filter based state of energy and power capability estimation approach for lithium-ion battery
Zhang WG, Shi W, Ma ZY
Journal of Power Sources, 289, 50, 2015 |
| 9 |
A method for state of energy estimation of lithium-ion batteries at dynamic currents and temperatures
Liu XT, Wu J, Zhang CB, Chen ZH
Journal of Power Sources, 270, 151, 2014 |
