AME Seminar: Basab Ranjan Das Goswami
Tuesday, April 9, 2024 - 4:00 p.m.
Basab Ranjan Das Goswami
PhD Student
Aerospace and Mechanical Engineering
University of Arizona
"Enhancing Electric Vehicle Safety: AI-Driven Multiphysics Approach for Predicting Thermal Failures in Li-Ion Batteries"
AME Lecture Hall, Room S212 | Zoom link
Abstract: The urgency of transitioning to sustainable energy solutions in the face of global warming has highlighted the crucial role of batteries in energy storage. Batteries power various applications, including electronic devices, electric vehicles (EVs), and renewable energy systems. However, safety concerns, especially regarding thermal runaway in lithium-ion batteries (LIBs), have become pressing. The surge in demand for energy storage due to the need to reduce carbon emissions has made LIBs a popular choice. Yet, thermal runaway, which involves uncontrolled heat generation and combustion, poses a significant safety threat. This talk addresses battery safety by combining advanced machine learning (ML) techniques and multiphysics modeling to predict and prevent thermal runaway incidents in LIBs. Initially, the research focused on a single LIB, using convolutional neural networks (CNNs) and an object detection-based model to predict thermal runaway. Multiphysics modeling played a critical role by simulating thermal images based on thermal, electrochemical, and degradation sub-models. Building upon the formulation of a single battery model, the research then extended its scope to LIB packs, essential in EVs. A novel ML framework integrated a graph neural network (GNN) for spatial analysis and a Long Short-Term Memory (LSTM) network for temporal evolution. Training on temperature data from sensors attached to batteries achieved high accuracy in predicting pack/module temperatures, enabling real-time hotspot detection and prevention. These developments enhance the safety and reliability of LIBs and contribute to a sustainable energy future. This research balances innovation with safety, bringing us closer to a resilient energy future.
Bio: Basab Ranjan Das Goswami is a PhD student at The University of Arizona's Department of Aerospace and Mechanical Engineering with a major focus on energy storage technologies. He obtained his MS degree in mechanical engineering from The University of Illinois at Chicago in 2022 and BS from Jadavpur University, India in 2019. His current research interest focuses on the integration of electrochemical-thermal modeling of Lithium-ion batteries with machine learning to enhance safety in battery operation.