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Save the Date: November 10–12, 2020
The Battery Show Digital Days Schedule Viewer


Welcome to the The Battery Show and Electric & Hybrid Vehicle Technology Digital Days Conference Session Viewer. Browse and sort the growing list of sessions by day, time, pass type, topic, or format. All session times are shown in Eastern Time, except 3rd day (November 12th) EU Conference Pass sessions are in Central European Time. Check out the event Conference Page for more information related to the event schedule. Register for Digital Days and login to the event platform to begin bookmarking sessions, building your schedule, and accessing whitepapers.

Model-Based Battery Management Systems for Lithium-ion Batteries

Venkat Subramanian  (Professor of Mechanical & Material Science Engineering, University of Texas)

Location: USA

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.

Takeaway

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.

Intended Audience

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.