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알칼리 및 알칼리 토금속에 의한 SCR 촉매 비활성 거동
한승윤,신민철,이희수,Han, Seungyun,Shin, Min-Chul,Lee, Heesoo 한국결정성장학회 2016 한국결정성장학회지 Vol.26 No.6
알칼리(토)금속이 SCR(Selective Catalytic Reduction) 촉매 비활성화에 미치는영향을 미세구조, 촉매 비표면적, 기공 부피 변화, 탈질 성능 분석을 통해 규명하였다. 신촉매를 $350^{\circ}C$에서 6시간 동안 $H_3PO_4$, $K_2CO_3$, $Na_2CO_3$, $Ca(CH_3COO)_2{\cdot}H_2O$, $C_4H_6MgO_4{\cdot}4H_2O$ 수용액을 분사 시켜, 모사 피독된 SCR 촉매를 제조하였다. 피독 촉매 표면의 미세구조는 신촉매와 거의 유사한 형태를 보이지만, 비표면적과 기공 부피 변화를 신촉매와 비교하였을 때, Na < Mg < K < Ca < P 순으로 감소하는 것으로 나타났다. 특히 Na에 의해 피독된 촉매는 비표면적은 $10.20m^2/g$, 기공부피는 $0.061cm^2/g$ 정도 감소하였다. $150{\sim}450^{\circ}C$에서 신촉매 및 피독 촉매의 탈질성능을 평가한 결과, 알칼리 금속(K, Na)에 피독된 SCR 촉매가 가장 낮은 탈질효율을 보였으며, 알칼리 토금속(Ca, Mg)에 피독된 SCR 촉매는 알칼리 금속(K, Na)에 피독된 촉매에 비해 상대적으로 높은 탈질 효율을 보였으며, 인(P)에 의해 피독된 촉매는 SCR 신촉매와 거의 유사한 탈질 성능을 나타내는 것을 확인하였다. 이러한 결과는 SCR 촉매 비표면적이나 기공 부피 감소에 따른 물리적인 비활성화가 SCR 촉매 탈질 성능에 영향을 미치는 것으로 보인다. The effect of the alkali, alkali earth metal elements on selective catalytic reduction(SCR) catalyst deactivation behavior were investigated in terms of microstructure, surface area, pore volume and De-NOx test. Poisoned SCR catalyst were manufactured by injection of $K_2CO_3$, $Na_2CO_3$, $Ca(CH_3COO)_2{\cdot}H_2O$, $C_4H_6MgO_4{\cdot}4H_2O$, $H_3PO_4$ solutions in the new SCR catalyst at $350^{\circ}C$ for 6 hours. New and poisoned catalysts surface were similar. But specific surface area, pore volume decrease from Na, Mg, K, Ca, P compared to new SCR catalyst. Especially, Na poisoned catalyst surface area and pore size extremely decreased by $10.20m^2/g$, $0.061cm^2/g$. De-NOx test results of new and poisoned catalysts at $150{\sim}450^{\circ}C$ indicated that alkali metal (K, Na) poisoned SCR catalysts have the lowest De-NOx efficiency, alkali earth metal poisoned SCR catalysts (Ca, Mg) De-NOx efficiency are higher than alkali metal poisoned SCR catalysts. P poisoned SCR catalyst De-NOx efficiency is similar new SCR catalyst. It were considered that physical deactivation of SCR catalyst was affected by SCR catalyst surface area and pore volume change.
이미영(Miyoung Lee),한승윤(Seungyun Han),박진형(Jinhyeong Park),김종훈(Jonghoon Kim) Korean Society for Precision Engineering 2021 한국정밀공학회지 Vol.38 No.10
Lithium-ion batteries are one of the main parts of electrical devices and are widely used in various applications. To safely use lithium-ion batteries, fault diagnosis and prognosis are significant. This paper analyzes resistance parameters from electrochemical impedance spectroscopy (EIS) to detect the fault of lithium-ion batteries. The internal fault mechanisms of batteries are so complex; it is difficult to detect abnormalities by direct current-based methods. However, by using alternating-current-based impedance by EIS, the internal degradation processes of the batteries can be detected. Impedance variation from EIS is verified under accelerated degradation test conditions and normal cycling test conditions. The results showed a significant relationship between fault and increase in resistance.
홍성곤(Sunggoen Hong),강덕훈(Deokhun Kang),박성윤(Seongyun Park),이평연(Pyeongyeon Lee),한승윤(Seungyun Han),김종훈(Jonghoon Kim) 한국자동차공학회 2022 한국 자동차공학회논문집 Vol.30 No.2
As the use of lithium-ion batteries increases, battery management becomes important. Among them, battery temperature management significantly affects the safety and performance of the battery. Studying battery temperature estimation is difficult, as mechanical, electrical, and chemical actions must be considered. It is also tricky to detect when temperature imbalance occurs in a parallel battery pack. In this paper, instead of detecting battery temperature imbalance through temperature estimation, temperature imbalance in a parallel battery pack can be detected through a commonly used battery parameter extraction method. As a way of detecting temperature imbalance in a battery pack, battery internal parameters through the ECM model are used. In this paper, a methodology for detecting non-uniform temperature through internal parameters is also studied. The difference based on the method was studied through parameter extraction by using the HPPC test method and the OCV recovery section. Furthermore, parameters were extracted for each SOC. Through this methodological study, the long-term performance and the safety of the battery can be improved.