| A comparative study between air cooling and liquid cooling thermal management systems for a high-energy lithium-ion battery module M Akbarzadeh, T Kalogiannis, J Jaguemont, L Jin, H Behi, D Karimi, ... Applied Thermal Engineering 198, 117503, 2021 | 155 | 2021 |
| Online health diagnosis of lithium-ion batteries based on nonlinear autoregressive neural network S Khaleghi, D Karimi, SH Beheshti, MS Hosen, H Behi, M Berecibar, ... Applied Energy 282, 116159, 2021 | 126 | 2021 |
| A comprehensive review of lithium ion capacitor: Development, modelling, thermal management and applications M Soltani, SH Beheshti Journal of Energy Storage 34, 102019, 2021 | 120 | 2021 |
| Developing an online data-driven approach for prognostics and health management of lithium-ion batteries S Khaleghi, MS Hosen, D Karimi, H Behi, SH Beheshti, J Van Mierlo, ... Applied Energy 308, 118348, 2022 | 89 | 2022 |
| Lithium-Ion Capacitor Lifetime Extension through an Optimal Thermal Management System for Smart Grid Applications D Karimi, S Khaleghi, H Behi, H Beheshti, MS Hosen, M Akbarzadeh, ... Energies 14 (10), 2907, 2021 | 38 | 2021 |
| Development, Retainment and Assessment of the Graphite-Electrolyte Interphase in Li-ion Batteries Regarding the Functionality of SEI-Forming Additives SH Beheshti, M Javanbakht, H Omidvar, MS Hosen, A Hubin, ... iScience, 103862, 2022 | 31 | 2022 |
| A patent landscape on liquid electrolytes for lithium-ion batteries M Ershadi, M Javanbakht, SHR Beheshti, B Mosallanejad, Z Kiaei Anal. Bioanal. Electrochem 10, 1629-1653, 2018 | 15 | 2018 |
| Effects of Structural Substituents on the Electrochemical Decomposition of Carbonyl Derivatives and Formation of the Solid–Electrolyte Interphase in Lithium-Ion Batteries SH Beheshti, M Javanbakht, H Omidvar, H Behi, X Zhu, MH Mamme, ... Energies 14 (21), 7352, 2021 | 8 | 2021 |
| Improved Performance of Solid Polymer Electrolyte for Lithium-Metal Batteries via Hot Press Rolling P Yadav, SH Beheshti, AR Kathribail, P Ivanchenko, JV Mierlo, ... Polymers 14 (3), 363, 2022 | 5 | 2022 |
| A data-driven method based on recurrent neural network method for online capacity estimation of lithium-ion batteries S Khaleghi, SH Beheshti, M Berecibar, J Van Mierlo 2020 IEEE Vehicle Power and Propulsion Conference (VPPC), 1-7, 2020 | 3 | 2020 |
