Selected Publications
G. Fan, D. Lu, M. S. Trimboli, G. L. Plett, C. Zhu, X. Zhang. Nondestructive Diagnostics and Quantification of Battery Aging Under Different Degradation Paths, Journal of Power Sources, 2023, 557: 232555.
G. Fan and X. Zhang. Battery capacity estimation using 10-second relaxation voltage and a convolutional neural network, Applied Energy, 2023, 330: 120308.
Y. Gao, G. L. Plett, G. Fan, et al. Enhanced state-of-charge estimation of LiFePO4 batteries using an augmented physics-based model. Journal of Power Sources, 2022, 544: 231889.
D. Lu, M.S. Trimboli, G. Fan, Y. Wang, G. L. Plett, Nondestructive EIS Testing to Estimate a Subset of Physics-Based-Model Parameter Values for Lithium-Ion Cells, Journal of The Electrochemical Society, 2022, 169 (8), 080504.
Y. Gao, C. Liu, S. Chen, X. Zhang, G. Fan, C. Zhu. Development and parameterization of a control-oriented electrochemical model of lithium-ion batteries for battery-management-systems applications[J]. Applied Energy, 2022, 309: 118521.
D. Lu, M.S. Trimboli, G. Fan, R. Zhang, G. Plett, Nondestructive Pulse Testing to Estimate a Subset of Physics-Based-Model Parameter Values for Lithium-Ion Cells, Journal of The Electrochemical Society, 168, 080533.
D. Lu, M.S. Trimboli, G. Fan, R. Zhang, G. Plett, Implementation of a Physics-Based Model for Half-Cell Open-Circuit Potential and Full-Cell Open-Circuit Voltage Estimates, Part I: Processing Half-Cell Data, Journal of The Electrochemical Society, 2021, 168(7), 070532.
D. Lu, M.S. Trimboli, G. Fan, R. Zhang, G. Plett, Implementation of a Physics-Based Model for Half-Cell Open-Circuit Potential and Full-Cell Open-Circuit Voltage Estimates, Part II: Processing Full-Cell Data, Journal of The Electrochemical Society, 2021, 168(7), 070533.
G. Fan, X. Li, R. Zhang, Global Sensitivity Analysis on Temperature-Dependent Parameters of A Reduced-Order Electrochemical Model And Robust State-of-Charge Estimation at Different Temperatures, Energy, 223, 120024, 2021.
G. Fan, Systematic Parameter Identification of A Control-Oriented Electrochemical Battery Model and Its Application for State of Charge Estimation at Various Operating Conditions, Journal of Power Sources, 470, 228153, 2020.
G. Fan, X. Li, M. Canova, A Reduced-Order Electrochemical Model of Li-ion Batteries for Control and Estimation Applications, IEEE Transactions on Vehicular Technology, 67(1), 76-91, 2018.
X. Li, G. Fan, K. Pan, G. Wei, C. Zhu, G. Rizzoni, M. Canova, A Physics-based Fractional Order Model and State of Energy Estimation for Lithium ion Batteries. Part I: Model Development and Observability Analysis, Journal of Power Sources, 367, 187-201, 2017.
X. Li, K. Pan, G. Fan, G. Wei, C. Zhu, G. Rizzoni, M. Canova, A Physics-based Fractional Order Model and State of Energy Estimation for Lithium ion Batteries. Part II: Parameter Identification and State of Energy Estimation for LiFePO4 Battery, Journal of Power Sources, 367, 202-213, 2017.
G. Fan, K. Pan, G.L. Storti, M. Canova, J. Marcicki, X.G. Yang, A Reduced-Order Multi-Scale, Multi-Dimensional Model for Performance Prediction of Large-Format Li-Ion Cells, Journal of The Electrochemical Society, 164(2), A252– A264, 2017.
X. Li, G. Fan, G. Rizzoni, M. Canova, C. Zhu, G. Wei, A Simplified Multi-Particle Model for Lithium Ion Batteries via a Predictor-Corrector Strategy and Quasi-Linearization, Energy, 116(1), 154 –169, 2016.
G. Fan, K. Pan, M. Canova, J. Marcicki, X.G. Yang, Modeling of Li-Ion Cells for Fast Simulation of High C-Rate and Low Temperature Operations, Journal of The Electrochemical Society, 163(5), A666 – A676, 2016.