A02 - Simulation and Modeling for Li-ion Batteries 1

Sunday, 29 May 2022: 13:40-18:00
West Meeting Room 109 (Vancouver Convention Center)
Chairs:
Lubhani Mishra and Natalio Mingo
13:40
180
Pseudo-Two-Dimensional Modeling of Lithium-Ion Conversion Cathode Materials
J. S. Horner (Sandia National Laboratories), G. Whang (University of California Los Angeles), I. V. Kolesnichenko (Sandia National Laboratories), B. S. Dunn (University of California Los Angeles), T. N. Lambert, and S. A. Roberts (Sandia National Laboratories)
 
181
Multiscale Modeling of Heterogeneous Interfaces in All Solid-State Batteries (Cancelled)
14:20
182
Accelerated Battery Life Predictions through Synergistic Coupling of Physics-Based Models with Machine Learning
S. Kim, Z. Yi, R. R. Kunz, E. J. Dufek, T. R. Tanim, B. R. Chen, and K. L. Gering (Idaho National Laboratory)
14:40
183
Ionic Liquid Crystals As Solid Organic Electrolytes for Li-Ion Batteries: Experiments and Modeling
M. S. Khan, A. Van Roekeghem (Univ. Grenoble Alpes, CEA, LITEN, 17 rue des Martyrs, Grenoble, France), S. Mossa (Univ. Grenoble Alpes, CEA, IRIG, 17 rue des Martyrs, Grenoble, France), F. Ivol, L. Bernard, L. Picard, and N. Mingo (Univ. Grenoble Alpes, CEA, LITEN, 17 rue des Martyrs, Grenoble, France)
15:00
184
Extraction of Electrochemical Impedance Spectra from Physical Models
R. J. Kee, T. A. P. Evans, R. M. Hoffman, H. Zhu (Colorado School of Mines), F. Gerbig (Karlsruhe Institute of Technology), and T. Vincent (Colorado School of Mines)
15:20
Break
15:40
185
16:00
186
Investigating Li Plating Distribution Caused By a Thermal Gradient through Modelling, Differential Voltage, and Post-Mortem Analysis
A. Tomaszewska (Dyson School of Design Engineering, Imperial College London), R. Doel (Shell Research UK Ltd.), M. Parkes (Shell International Petroleum Co Ltd.), G. J. Offer (Department of Mechanical Engineering, Imperial College London), and B. Wu (Dyson School of Design Engineering, Imperial College London)
16:20
187
A Thermal Tanks-in-Series Model for Capacity Fade Studies in Lithium-Ion Batteries
R. S. Thiagarajan, S. Kolluri, M. Uppaluri (University of Texas at Austin), Y. Preger (Sandia National Laboratories), and V. R. Subramanian (University of Texas at Austin)
17:20
190
A Combined Multi-Physics Modelling and Machine Learning to Predict Electro-Thermal Failures of Cylindrical Li-Ion Batteries
B. R. Das Goswami, M. Mastrogiorgio, M. Ragone, F. Mashayek, and V. Yurkiv (University of Illinois at Chicago)
17:40
191
Parametrization of a Doyle-Fuller-Newman (DFN) Model for a Commercial 37Ah Li-Ion Battery and Validation with Incremental Capacity Analysis
M. Haber, S. Genies, P. Azaïs, A. Martin, M. Chandesris, and O. Raccurt (Univ. Grenoble Alpes, CEA, LITEN)