Jang-Wook Choi
Jang-Wook Choi
Seoul National University, South Korea
Accurate evaluation of battery health and reliable prediction of future performance are essential for the safe operation of lithium-ion batteries (LIBs). However, complex aging mechanisms and diverse operating conditions make diagnostics and prognostics challenging. This study presents advanced methodologies to diagnose cells by identifying aging mechanisms and predicting degradation under dynamic operation. We quantify graphite anode heterogeneity using differential voltage analysis and tailored protocols, enabling early detection of defective cells and prediction of abrupt capacity fade. In addition, a deep learning framework is developed to predict degradation pathways under variable usage patterns. By integrating diagnostic features with future usage, the model improves prediction accuracy compared to conventional methods. These methodologies enhance the understanding of battery aging and support the development of advanced battery management systems (BMS) for commercial LIBs.
Prof. Choi is currently a Professor in the School of Chemical and Biological Engineering at Seoul National University, Korea. His research programs span material and cell design in diverse lithium-ion and post-lithium-ion batteries, along with health diagnosis of battery cell. He received his B.S degree from Seoul National University in 2002 and Ph.D. from California Institute of Technology in 2007 in the area of molecular electronics and electrochemistry. He conducted postdoctoral research at Stanford University in the field of lithium‐ion batteries from 2008 to 2010. He has performed his independent research at Korea Advanced Institute of Science and Technology (KAIST) from 2010, after which he relocated to Seoul National University in 2017.