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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, Upscaling Lithium-Ion Battery Dynamics from Cell to Pack-Level: a Modelling and Control Perspective


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, The Price of Degradation — The Value of Prognostics — The Cost-Effectiveness Case of Electric Buses

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