| A review of charging algorithms for nickel and lithium battery chargers AAH Hussein, I Batarseh IEEE Transactions on Vehicular Technology 60 (3), 830-838, 2011 | 337 | 2011 |
| Capacity fade estimation in electric vehicles Li-ion batteries using artificial neural networks AA Hussein IEEE Transactions on Industry Applications 51 (3), 2321 - 2330, 2015 | 189 | 2015 |
| An overview of generic battery models AAH Hussein, I Batarseh 2011 IEEE Power and Energy Society General Meeting, 1-6, 2011 | 183 | 2011 |
| Improved battery SOC estimation accuracy using a modified UKF with an adaptive cell model under real EV operating conditions MS El Din, AA Hussein, MF Abdel-Hafez IEEE transactions on transportation electrification 4 (2), 408-417, 2018 | 131 | 2018 |
| Distributed battery micro-storage systems design and operation in a deregulated electricity market AA Hussein, N Kutkut, ZJ Shen, I Batarseh IEEE Transactions on Sustainable Energy 3 (3), 545-556, 2012 | 64 | 2012 |
| Experimental modeling and analysis of lithium-ion battery temperature dependence AA Hussein 2015 IEEE Applied Power Electronics Conference and Exposition (APEC), 1084-1088, 2015 | 51 | 2015 |
| Enhancement in Li-ion Battery Cell State-of-Charge Estimation Under Uncertain Model Statistics MS El Din, M Abdel-Hafez, A Hussein IEEE Transactions on Vehicular Technology 65 (6), 4608-4618, 2015 | 44 | 2015 |
| A collaborative Gaussian process regression model for transfer learning of capacity trends between li-ion battery cells AA Chehade, AA Hussein IEEE Transactions on Vehicular Technology 69 (9), 9542-9552, 2020 | 42 | 2020 |
| Kalman filters versus neural networks in battery state-of-charge estimation: A comparative study AA Hussein International Journal of Modern Nonlinear Theory and Application 3 (05), 199, 2014 | 41 | 2014 |
| Adaptive artificial neural network-based models for instantaneous power estimation enhancement in electric vehicles’ Li-ion batteries AA Hussein IEEE Transactions on Industry Applications 55 (1), 840-849, 2018 | 40 | 2018 |
| Robust artificial neural network-based models for accurate surface temperature estimation of batteries AA Hussein, AA Chehade IEEE Transactions on Industry Applications 56 (5), 5269-5278, 2020 | 38 | 2020 |
| A hysteresis model for a lithium battery cell with improved transient response AAH Hussein, N Kutkut, I Batarseh 2011 Twenty-Sixth Annual IEEE Applied Power Electronics Conference and …, 2011 | 35 | 2011 |
| Derivation and comparison of open-loop and closed-loop neural network battery state-of-charge estimators AA Hussein Energy Procedia 75, 1856-1861, 2015 | 29 | 2015 |
| Design considerations and performance evaluation of outdoor PV battery chargers AA Hussein, AA Fardoun Renewable Energy 82, 85-91, 2015 | 27 | 2015 |
| An online frequency tracking algorithm using terminal voltage spectroscopy for battery optimal charging AA Hussein, AA Fardoun, SS Stephen IEEE Transactions on Sustainable Energy 7 (1), 32-40, 2015 | 26 | 2015 |
| Mitigating the effect of noise uncertainty on the online state-of-charge estimation of Li-ion battery cells A Wadi, MF Abdel-Hafez, AA Hussein IEEE Transactions on Vehicular Technology 68 (9), 8593-8600, 2019 | 25 | 2019 |
| State-of-charge estimation for a single Lithium battery cell using Extended Kalman Filter AAH Hussein, I Batarseh 2011 IEEE Power and Energy Society General Meeting, 1-5, 2011 | 25 | 2011 |
| A multioutput convolved Gaussian process for capacity forecasting of li-ion battery cells AA Chehade, AA Hussein IEEE Transactions on Power Electronics 37 (1), 896-909, 2022 | 24 | 2022 |
| An adaptive sensorless measurement technique for internal temperature of Li-ion batteries using impedance phase spectroscopy AA Hussein, AA Fardoun IEEE Transactions on Industry Applications 56 (3), 3043-3051, 2020 | 23 | 2020 |
| Design considerations for distributed micro-storage systems in residential applications AAH Hussein, S Harb, N Kutkut, J Shen, I Batarseh Intelec 2010, 1-6, 2010 | 22 | 2010 |
Issa BatarsehUniversity of Central FloridaVerified email at ucf.edu
