Combining 1D and 3D Multi-Physics Modeling Methods for Thermal Runaway Propagation Analysis

Thermal runaway propagation is a key safety challenge when designing a battery system. Pack designers must be confident that, no matter which cell enters thermal runaway and no matter how the cell enters thermal runaway, thermal runaway will not propagate into a pack-level fire.

Studying thermal runaway events at the pack-level has historically heavily relied on expensive pack-level experimental tests using prototype batteries or computationally expensive 3D CAE analyses. Because the cost of a single test in either scenario (real cost or computational) is very high, both options allow for only a handful of scenarios to realistically be studied. Empirically driven heat predictions do not account for the history of cells leading to their thermal runaway events.

In this 60-minute Webinar, attendees will learn how to build a predictive model for thermal runaway propagation using the new capabilities of advanced simulation tools.

Topics include:

Electrochemical modeling of battery cells
Thermal runaway reactions in individual cells
3D finite element thermal simulation
Integrated modeling for runaway propagation

An audience Q&A session will follow the technical presentations.
Speakers:
Brad Holcomb, Staff Engineer, Thermal Applications, Gamma Technologies

Brad Holcomb is a Staff Engineer on the Thermal Management Team at Gamma Technologies. He specializes in component cooling applications including modeling the heat generation and distribution within batteries, electric motors, power electronics, and combustion engines. In addition, Brad manages development for the GT-SUITE GEM3D application, which is used to convert CAD data to thermal, flow, and mechanical models. He holds a master’s degree in mechanical engineering from Purdue University, with a research focus on computer chip cooling and flow boiling applications.
Alireza Kondori, Ph.D., Senior Engineer, Battery Applications, Gamma Technologies

Dr. Alireza Kondori is an accomplished researcher who holds a Ph.D. in chemical engineering from the Illinois Institute of Technology. In his capacity as a Senior Battery Applications Engineer at Gamma Technologies, Alireza brings his exceptional skills to the forefront of electrochemical battery modeling using GT-AutoLion. Throughout his academic journey, Alireza's research focus centered on the development, characterization, and testing of advanced materials for electrochemical energy storage systems. His investigations encompassed diverse areas including lithium-ion, lithium-air, and sodium-air batteries. Alireza has authored more than 10 influential research papers in journals such as Science, Nature, and Advanced Materials.

www.techbriefs.com/webinar386