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Gregory L Plett
Gregory L Plett
Professor of Electrical and Computer Engineering, University of Colorado Colorado Springs
Bestätigte E-Mail-Adresse bei uccs.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
3906*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
32822004
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
3282*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
32822004
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
3282*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
32822004
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
3282*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
6332006
Battery management systems, Volume II: Equivalent-circuit methods
GL Plett
Artech House, 2015
6022015
Battery management systems, Volume I: Battery modeling
GL Plett
Artech House, 2015
5602015
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
5032006
High-performance battery-pack power estimation using a dynamic cell model
GL Plett
IEEE Transactions on vehicular technology 53 (5), 1586-1593, 2004
3392004
Adaptive inverse control of linear and nonlinear systems using dynamic neural networks
GL Plett
IEEE transactions on neural networks 14 (2), 360-376, 2003
3042003
Recursive approximate weighted total least squares estimation of battery cell total capacity
GL Plett
Journal of Power Sources 196 (4), 2319-2331, 2011
2372011
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
1562012
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
1552012
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
1512010
Method and apparatus for a battery state of charge estimator
GL Plett
US Patent 6,534,954, 2003
1502003
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
1352020
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
1352015
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