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Venkat Subramanian (Professor of Mechanical & Material Science Engineering, University of Texas)
Date: Tuesday, November 10
Time: 3:30pm - 4:15pm
Pass Type: Virtual Conference Pass (Paid), Virtual Conference Pass + EU (Paid), Virtual EU Conference Pass (Paid)
Track: Advanced Battery Technologies Industry Outlook
Format: Technical Session
Vault Recording: TBD
Audience Level: All
The advances in the automotive sector for battery electric vehicles along with penetration of renewables for power generation, cell phones and electric-flights have increased the use of batteries, as energy storage devices to a great extent. Some limitations of existing lithium-ion battery technology include underutilization, stress-induced material damage, capacity fade, and the potential for thermal runaway. Model-based control approaches can be used to design a smarter Battery Management System (BMS) that guarantees safety, efficiency, lifetime and performance of lithium-ion batteries at the stack and module level. This talk will present approaches for determining model-based optimal charging profiles for batteries using full-order reformulated P2D model, and experimental validation of the same. Additionally, the presentation will include the interplay between the fundamental depth in modeling, choice of numerical algorithms, and application-driven problem formulation.
Model-based optimal control profiles derived from a reformulated (full-order) P2D model can be calculated and implemented in real-time on low-memory embedded platforms in an advanced BMS. This approach could lead to improved cycle-life or faster charging of batteries (<20 mins) with a full ( 0-100%) DOD swing.
The target customers for this technology are EV OEMs, battery manufacturers, consumer electronics (cellphone/laptop) manufacturers, robots/drone manufacturers or electric airplane manufacturers. The talk however, is aimed for general audience with several real life analogies to battery systems, with no prerequisites required to attend or understand this technology/talk.