| State-of-charge estimation for lithium-ion batteries using neural networks and EKF M Charkhgard, M Farrokhi IEEE transactions on industrial electronics 57 (12), 4178-4187, 2010 | 911 | 2010 |
| Optimal neuro-fuzzy control of parallel hybrid electric vehicles M Mohebbi, M Charkhgard, M Farrokhi 2005 IEEE Vehicle power and propulsion conference, 26-30, 2005 | 76 | 2005 |
| Design of adaptive H∞ filter for implementing on state‐of‐charge estimation based on battery state‐of‐charge‐varying modelling M Charkhgard, MH Zarif IET Power Electronics 8 (10), 1825-1833, 2015 | 68 | 2015 |
| Lithium‐ion battery state of charge estimation based on square‐root unscented Kalman filter H Gholizade‐Narm, M Charkhgard IET Power Electronics 6 (9), 1833-1841, 2013 | 62 | 2013 |
| Hybrid state of charge estimation for lithium‐ion batteries: design and implementation A Alfi, M Charkhgard, M Haddad Zarif IET Power Electronics 7 (11), 2758-2764, 2014 | 43 | 2014 |
| Lithium-ion battery design optimization based on a dimensionless reduced-order electrochemical model LD Couto, M Charkhgard, B Karaman, N Job, M Kinnaert Energy 263, 125966, 2023 | 7 | 2023 |
| Design of H∞ estimator by an adaptive fuzzy modeling for a class of nonlinear systems M Charkhgard, MH Zarif Journal of Intelligent & Fuzzy Systems 30 (3), 1475-1488, 2016 | | 2016 |
| Adaptive H-infinity Filter Design for Implementing on Battery State-of-Charge Estimation Based on Fuzzy Modeling M Charkhgard, MH Zarif, AA Kalat | | 2014 |
