Day 1 – December 12, 2020 – 1-5pm UTC
David Howey, 1-1:45pm UTC, Data-Driven Battery Health Diagnosis in Real-World Applications
Venkat Subramanian, 1:45-2:30pm UTC, Model-Based BMS and the Design of Efficient Algorithms for Current and Next-Generation Batteries
Richard Braatz, 2:30-3:15pm UTC, Machine Learning-based Identification, Prediction, and Control of Lithium-ion Batteries
Break – 3:15-3:30pm UTC
Xinfan Lin, 3:30-4:15pm UTC, Sensitivity: Decoding the Data Signature of Battery States and Parameters
Simona Onori, 4:15-5pm UTC, Pushing the Envelope in Battery Estimation Algorithms
Day 2 – December 13, 2020 – 1-5pm UTC
Xuning Feng, 1-1:45pm UTC, An Electrochemical-Thermal Coupled Battery Thermal Runaway Model for Battery Safety Design
Chris Rahn, 1:45-2:30pm UTC, Thermal and Flow Actuation for High Performance Battery Systems
Anna Stefanopoulou, 2:30-3:15pm UTC, Cell Swelling for SOC, SOH, and SOS
Break – 3:15-3:30pm UTC
Ziyou Song, 3:30-4:15pm UTC, Simultaneous Identification and Control for Hybrid Energy Storage System using Model Predictive Control and Active Signal Injection
Scott Moura, 4:15-5pm UTC, Unleashing the Full Potential of Batteries: Learning and Control