Webinar

Modeling Battery Lifespan with JuliaSim

Webinar

Modeling Battery Lifespan with JuliaSim

Event Date & Time

May 18, 2023, 1:00 PM

May 18, 2023, 1:00 PM

ET

Speakers

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Event Date & Time

May 18, 2023, 1:00 PM

ET

Speakers

Share

Explore how to model battery lifespan using JuliaSim. In this video, Dr. Marc Berliner will demonstrate a new lithium-ion battery simulation tool that offers advanced electrochemical, thermal, and degradation physics for simulating cells, modules, and packs. Viewers will learn how this tool can accurately predict battery performance under various operating conditions, and how it can be used to design and optimize battery systems. A live demonstration will showcase the tool's ease of use and effectiveness in analyzing battery performance, thermal behavior, and degradation over time.

Attendees will :

  • Understand how advanced physics-based models can improve the accuracy of battery modeling and simulation for lithium-ion battery cells and packs

  • Learn how to use JuliaSim to predict battery behavior and degradation over time, and to design and optimize battery systems

  • Gain insights into battery performance under various operating conditions, including thermal behavior and degradation, leading to better battery designs, improved performance, and increased lifespan of battery cells and packs 

Speakers

Dr. Marc D. Berliner is the lead developer of DyadBatteries.jl at JuliaHub, Inc. He received a Ph.D. from the MIT Department of Chemical Engineering, where his work focused on high-performance simulation of physics-based lithium-ion battery models, parameter estimation techniques, and optimal charging algorithms.

Speakers

Dr. Marc D. Berliner is the lead developer of DyadBatteries.jl at JuliaHub, Inc. He received a Ph.D. from the MIT Department of Chemical Engineering, where his work focused on high-performance simulation of physics-based lithium-ion battery models, parameter estimation techniques, and optimal charging algorithms.

Speakers

Dr. Marc D. Berliner is the lead developer of DyadBatteries.jl at JuliaHub, Inc. He received a Ph.D. from the MIT Department of Chemical Engineering, where his work focused on high-performance simulation of physics-based lithium-ion battery models, parameter estimation techniques, and optimal charging algorithms.

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Modeling Battery Lifespan with JuliaSim

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Modeling Battery Lifespan with JuliaSim