Ulsan National Institute of Science and Technology · 工学
Professor Yunseok Choi's research lab specializes in advanced energy storage systems and thermal management technologies, with a strong focus on lithium-ion batteries, rechargeable seawater batteries, and fire-safe battery designs. The lab develops cutting-edge machine learning and deep learning models—such as D-GELS—for accurate state-of-health (SOH) prediction across diverse battery chemistries and operating conditions. It also investigates thermal enhancement using metal foams for high-power electronics cooling and pioneers innovative fire suppression strategies through Water-in-Battery (WiB) concepts. The lab bridges materials science, electrochemistry, and data-driven modeling to enable safer, smarter, and more sustainable energy solutions.
Figures are computed from collected data and may differ slightly.
To ensure smooth and reliable operations of battery systems, reliable prognosis with accurate prediction of State of Health of lithium ion batteries is of utmost importance. However, battery degradation is a complex challenge involving many electrochemical reactions at anode, separator, cathode and electrolyte/electrode interfaces. Also, there is significant effect of the operating conditions on the battery degradation. Various machine learning techniques have been applied to estimate the capaci
Accurately estimating the state-of-health (SOH) of lithium-ion batteries is emerging as a hot topic because of the rapid increase in electric appliance usage. However, versatile applicability to various battery compositions and diverse cycling conditions, and prediction only with partial data still remain challenges. In this paper, a Deep-learning-based Graphical approach to Estimation of Lithium-ion batteries SOH (D-GELS) was developed to predict the SOH covering three cathode materials, LiFePO
Rechargeable seawater batteries (SWBs) use Na + ions dissolved in water (seawater or salt-water) as the cathode material. They are attracting attention for marine applications such as light buoys, marine drones, auxiliary power for sailing boats and so on. So far, SWB design has been developed from the coin-type to prismatic-shape cell for research purposes to investigate cell components and electrochemical behaviors. However, for commercial applications, that generally require >12 V and >
The fire condition of lithium-ion batteries is satisfied by fulfilling three elements. Through the concept of Water-in-Battery (WiB), fire can be suppressed by controlling these elements via direct water penetration into the cell, reducing temperature and blocking oxygen.
Advancements in technology have led to electronics with higher power densities, which strains the sustainability of these devices. In this context, using metal foams in pool boiling can provide solutions by enhancing heat transfer. The porous structure of metal foams affects the boiling parameters such as critical heat flux (CHF) and boiling heat transfer coefficient (BHTC). To study these effects, copper foams of varying thicknesses and PPI were used, and they were attached to smooth silicon su
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