최윤석 교수
Yunseok Choi
UNIST 에너지화학공학과 · 공학
연구실 소개
최윤석 교수의 연구실은 리튬이온 배터리의 수명 예측 및 안정성 향상을 위한 고성능 소재와 시스템 설계에 중점을 두고 있습니다. 특히, 고체 전해질을 활용한 고체 전지 기술 개발과 해수 배터리의 효율성 향상 및 부반응 메커니즘 규명을 통해 지속 가능한 에너지 저장 솔루션을 모색하고 있습니다. 기계학습 기반의 상태항력(SOH) 예측 모델 개발을 통해 배터리 관리의 정밀도와 경제성을 동시에 향상시키는 데도 기여하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15To 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
Abstract Rechargeable seawater batteries (SWBs) are regarded as sustainable alternatives to Li‐ion batteries due to the use of an unlimited and free source of Na ion active materials. Although many approaches including the introduction of new catalysts have successfully improved the performance of SWBs, reconsidering the cell design is an urgent requirement to improve the performance and scale up the production of practical batteries. In this study, by adjusting the maximum space efficiency, a r
A NASICON ceramic electrolyte are pre-formed with sintering ion conduction channel and epoxy-resin polymer infiltrate inside of NASICON pores. This method maintains ionic conductivity of ceramic and can fabricate thin sheet-type solid electrolyte.
Abstract Concerning the safety aspects of Li + ion batteries, an epoxy‐reinforced thin ceramic film (ERTCF) is prepared by firing and sintering a slurry‐casted composite powder film. The ERTCF is composed of Li + ion conduction channels and is made of high amounts of sintered ceramic Li 1+ x Ti 2‐ x Al x (PO 4 ) 3 (LATP) and epoxy polymer with enhanced mechanical properties for solid‐state batteries. The 2D and 3D characterizations are conducted not only for showing continuous Li + ion channels
Carbon corrosion and calcium carbonate precipitation were identified as parasitic cathode side-reactions occurring during charge and discharge of the seawater battery, hazardously impacting the cell performance.
. D-GELS shows an accurate performance for SOH prediction, less than 0.012 of RMSE, was predicted regardless of cathode materials, and its applicability was confirmed. Furthermore, D-GELS was capable of predicting the SOH using partially-cycled data, since less than 0.046 of RMSE was observed even with 50% of the image missing. When using partially-cycled profiles, significant economic benefits can be seen in used battery management, as the number of assessed batteries increases greatly, leading
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
A non-invasive approach to reveal the health of individual modules, replying on the state-of-health of the battery pack, is achieved through generative adversarial networks (GAN) with spatialized battery pack cycling profiles.
With increasing population growth, it is necessary to meet safe water demands. Water disinfection through chlorination is the most commonly used method for safe water production. The electrolysis of salted water is a promising technology for the on-site generation of disinfecting agents, however, its low efficiency and inability to neutralize the remaining free chlorine makes electrolysis inefficient. The introduction of a cation permeable membrane between anode and cathode can help to improve t
Understanding the degradation of lithium-ion batteries is of utmost significance for preventing unexpected capacity drops and addressing safety concerns. The manner in which batteries degrade during operation has a notable influence on their subsequent cycle performance. In particular, the rapid capacity drop related to the spatial heterogeneity of the anode degradation highlights the necessity of a health indicator for an accurate battery diagnosis. A novel health indicator established in this
Lithium-ion batteries (LIBs) have emerged as the most commercialized rechargeable battery technology. However, their inherent property, called thermal runaway, poses a high risk of fire. This article introduces the “Battery Immersed in Fire Prevention Material (BIF)”, the immersion-type battery in which all of the LIB cells are surrounded by a liquid agent. This structure and the agent enable active battery fire suppression under abusive conditions while facilitating improved thermal management
대표 연구 분야
최윤석 교수의 연구를 Nubint에서 더 깊이 살펴보세요
이 연구실의 논문을 앱에서 열어 AI와 함께 읽고, 핵심을 요약하고, 내 글에 인용하세요.