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 |
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 |
3 |
Improved capacity estimation technique for the battery management systems of electric vehicles using the fixed-point iteration method Sung W, Lee J Computers & Chemical Engineering, 117, 283, 2018 |
4 |
Successive-approximation algorithm for estimating capacity of Li-ion batteries Goh T, Park M, Seo M, Kim JG, Kim SW Energy, 159, 61, 2018 |
5 |
Re-synthesis of LiCoO2 extracted from spent Li-ion batteries with low and high state of health Sita LE, da Silva SP, da Silva PRC, Scarminio J Materials Chemistry and Physics, 194, 97, 2017 |
6 |
Realistic lifetime prediction approach for Li-ion batteries Sarasketa-Zabala E, Martinez-Laserna E, Berecibar M, Gandiaga I, Rodriguez-Martinez LM, Villarreal I Applied Energy, 162, 839, 2016 |
7 |
Novel state-of-health diagnostic method for Li-ion battery in service Mingant R, Bernard J, Sauvant-Moynot V Applied Energy, 183, 390, 2016 |
8 |
Optimal charging method for lithium ion batteries using a universal voltage protocol accommodating aging Guo Z, Liaw BY, Qiu XP, Gao LL, Zhang CS Journal of Power Sources, 274, 957, 2015 |
9 |
A self-cognizant dynamic system approach for prognostics and health management Bai GX, Wang PF, Hu C Journal of Power Sources, 278, 163, 2015 |
10 |
Practical state of health estimation of power batteries based on Delphi method and grey relational grade analysis Sun BX, Jiang JC, Zheng FD, Zhao W, Liaw BY, Ruan HJ, Han ZG, Zhang WG Journal of Power Sources, 282, 146, 2015 |