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 |
Machine learning-based model for lithium-ion batteries in BMS of electric/hybrid electric aircraft Hashemi SR, Baghbadorani AB, Esmaeeli R, Mahajan A, Farhad S International Journal of Energy Research, 45(4), 5747, 2021 |
3 |
Novel battery wear leveling method for large-scale reconfigurable battery packs Carstoiu G, Micea MV, Ungurean L, Marcu M International Journal of Energy Research, 45(2), 1932, 2021 |
4 |
A novel interval-based approach for quantifying practical parameter identifiability of a lithium-ion battery model Zhou W, Huang RJ, Liu K, Zhang WG International Journal of Energy Research, 44(5), 3558, 2020 |
5 |
Aging model development based on multidisciplinary parameters for lithium-ion batteries Garg A, Shaosen S, Gao L, Peng XB, Baredar P International Journal of Energy Research, 44(4), 2801, 2020 |
6 |
Online state of health prediction method for lithium-ion batteries, based on gated recurrent unit neural networks Ungurean L, Micea MV, Carstoiu G International Journal of Energy Research, 44(8), 6767, 2020 |
7 |
State of charge estimation method based on the extended Kalman filter algorithm with consideration of time-varying battery parameters Luo Y, Qi PW, Kan YZ, Huang JY, Huang H, Luo JW, Wang JN, Wei YH, Xiao RJ, Zhao S International Journal of Energy Research, 44(13), 10538, 2020 |
8 |
Load-responsive model switching estimation for state of charge of lithium-ion batteries Tang XP, Gao FR, Zou CF, Yao K, Hu WG, Wik T Applied Energy, 238, 423, 2019 |
9 |
Big data driven lithium-ion battery modeling method based on SDAE-ELM algorithm and data pre-processing technology Li SQ, He HW, Li JW Applied Energy, 242, 1259, 2019 |
10 |
Design and implementation of a battery management system with active charge balance based on the SOC and SOH online estimation Ren HB, Zhao YZ, Chen SZ, Wang TP Energy, 166, 908, 2019 |