| Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 1. Background GL Plett Journal of Power Sources 134 (2), 252-261, 2004 | 3913* | 2004 |
| Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation GL Plett Journal of Power sources 134 (2), 277-292, 2004 | 3289 | 2004 |
| Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs Part 2. Modeling and identification GL Plett Journal of Power Sources 134 (2), 262-276, 2004 | 3289* | 2004 |
| Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation GL Plett Journal of Power sources 134 (2), 277-292, 2004 | 3289 | 2004 |
| Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification GL Plett Journal of power sources 134 (2), 262-276, 2004 | 3289* | 2004 |
| Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation GL Plett Journal of Power Sources 134 (2), 277-292, 2004 | 3289 | 2004 |
| Extended Kalman Filtering for Battery Management Systems of LiPB-Based HEV Battery Packs—Part 1: Background GL Plett Journal of Power Sources 134 (2), 252-261, 2004 | 3289* | 2004 |
| Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2: Simultaneous state and parameter estimation GL Plett Journal of power sources 161 (2), 1369-1384, 2006 | 635 | 2006 |
| Battery management systems, Volume II: Equivalent-circuit methods GL Plett Artech House, 2015 | 606 | 2015 |
| Battery management systems, Volume I: Battery modeling GL Plett Artech House, 2015 | 565 | 2015 |
| Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs Part 1: Introduction and state estimation GL Plett Journal of Power Sources 161 (2), 1356-1368, 2006 | 503 | 2006 |
| High-performance battery-pack power estimation using a dynamic cell model GL Plett IEEE Transactions on vehicular technology 53 (5), 1586-1593, 2004 | 340 | 2004 |
| Adaptive inverse control of linear and nonlinear systems using dynamic neural networks GL Plett IEEE transactions on neural networks 14 (2), 360-376, 2003 | 304 | 2003 |
| Recursive approximate weighted total least squares estimation of battery cell total capacity GL Plett Journal of Power Sources 196 (4), 2319-2331, 2011 | 238 | 2011 |
| One-dimensional physics-based reduced-order model of lithium-ion dynamics JL Lee, A Chemistruck, GL Plett Journal of Power Sources 220, 430-448, 2012 | 157 | 2012 |
| Controls oriented reduced order modeling of lithium deposition on overcharge RD Perkins, AV Randall, X Zhang, GL Plett Journal of Power Sources 209, 318-325, 2012 | 155 | 2012 |
| Numerical simulation of the effect of the dissolution of LiMn2O4 particles on Li-ion battery performance J Park, JH Seo, G Plett, W Lu, AM Sastry Electrochemical and Solid-State Letters 14 (2), A14, 2010 | 151 | 2010 |
| Method and apparatus for a battery state of charge estimator GL Plett US Patent 6,534,954, 2003 | 150 | 2003 |
| Pseudo-two-dimensional model and impedance diagnosis of micro internal short circuit in lithium-ion cells X Kong, GL Plett, MS Trimboli, Z Zhang, D Qiao, T Zhao, Y Zheng Journal of Energy Storage 27, 101085, 2020 | 136 | 2020 |
| Electrochemical state and internal variables estimation using a reduced-order physics-based model of a lithium-ion cell and an extended Kalman filter KD Stetzel, LL Aldrich, MS Trimboli, GL Plett Journal of Power Sources 278, 490-505, 2015 | 135 | 2015 |
Scott TrimboliUniversity of Colorado Colorado SpringsVerified email at uccs.edu
