| 1 |
A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) estimation
Li J, Adewuyi K, Lotfi N, Landers RG, Park J
Applied Energy, 212, 1178, 2018 |
| 2 |
System identification and data fusion for on-line adaptive energy forecasting in virtual and real commercial buildings
Li XW, Wen J
Energy and Buildings, 129, 227, 2016 |
| 3 |
Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
Waag W, Fleischer C, Sauer DU
Journal of Power Sources, 258, 321, 2014 |
| 4 |
On-line estimation of lithium-ion battery impedance parameters using a novel varied-parameters approach
Waag W, Fleischer C, Sauer DU
Journal of Power Sources, 237, 260, 2013 |
| 5 |
Adaptive on-line prediction of the available power of lithium-ion batteries
Waag W, Fleischer C, Sauer DU
Journal of Power Sources, 242, 548, 2013 |
| 6 |
On-line self-learning time forward voltage prognosis for lithium-ion batteries using adaptive neuro-fuzzy inference system
Fleischer C, Waag W, Bai ZO, Sauer DU
Journal of Power Sources, 243, 728, 2013 |
| 7 |
On simultaneous on-line state and parameter estimation in non-linear state-space models
Tulsyan A, Huang B, Gopaluni RB, Forbes JF
Journal of Process Control, 23(4), 516, 2013 |
| 8 |
On-line detection of toxic components using a microbial fuel cell-based biosensor
Stein NE, Hamelers HMV, van Straten G, Keesman KJ
Journal of Process Control, 22(9), 1755, 2012 |
| 9 |
Inverse neural network based control strategy for absorption chillers
Labus J, Hernandez JA, Bruno JC, Coronas A
Renewable Energy, 39(1), 471, 2012 |
| 10 |
On-line Estimation in Fed-batch Fermentation Process Using State Space Model and Unscented Kalman Filter
Wang JL, Zhao LQ, Yu T
Chinese Journal of Chemical Engineering, 18(2), 258, 2010 |
