• The Transactions of the Korean Institute of Power Electronics
• /
• v.26 no.1
• /
• pp.1-8
• /
• 2021

For the safe and reliable operation of lithium-ion batteries in electric vehicles or energy storage systems, having accurate information of the battery, such as the state of charge (SOC), is essential. Many different techniques of battery SOC estimation have been developed, such as the Kalman filter. However, when this filter is applied to multiple batteries, it has difficulty maintaining the accuracy of the estimation over all cells owing to the difference in parameter values of each cell. The difference in the parameter of each cell may increase as the operation time accumulates due to aging. In this paper, a novel deep neural network (DNN)-based SOC estimation method for multi-cell application is proposed. In the proposed method, DNN is implemented to determine the nonlinear relationships of the voltage and current at different SOCs and temperatures. In the training, the voltage and current data obtained at different temperatures during charge/discharge cycles are used. After the comprehensive training with the data obtained from the cycle test with a cell, the resulting algorithm is applied to estimate the SOC of other cells. Experimental results show that the mean absolute error of the estimation is 1.213% at 25℃ with the proposed DNN-based SOC estimation method.

• The Transactions of the Korean Institute of Power Electronics
• /
• v.26 no.6
• /
• pp.390-396
• /
• 2021

Lithium-ion batteries have been designed and used as battery packs with series and parallel combinations that are suitable for use. However, due to its internal electrochemical properties, producing the battery's condition at the same value is impossible for individual cells. In addition, the management of characteristic deviations between individual cells is essential for the safe and efficient use of batteries as aging progresses with the use of batteries. In this work, we propose a method to manage deviation properties and detect abnormal behavior in the configuration of a combined battery pack of these multiple battery cells. The proposed method can separate and detect probabilistic low-frequency information according to statistical information based on Z-score. The verification of the proposed algorithm was validated using experimental results from 10S3P battery packs, and the implemented algorithm based on Z-score was validated as a way to effectively manage multiple individual cell information.

• YAKHAK HOEJI
• /
• v.41 no.2
• /
• pp.212-219
• /
• 1997

Multiple forms of extracellular phospholipase $A_2$ have been detected in human amniotic fluid (HAF). When HAF was subjected to heparin-Sepharose column chromatography, phospholipase $A_2$ activity was detected in both heparin-non binding and binding fraction. The activity of heparin-non binding fraction was further purified by sequential uses of column chromatographies on butyl-Toy-opearl 650M and DEAE-Sephacel. DEAE-Sephacel fraction contained three different phospholipase $A_2$ activities (Peak I, II, III). The molecular weight of DEAE-Sephacel fraction phospholipase $A_2$ determined by SDS-PAGE were about 52KDa (Peak I). Peak II, III required micromolar $Ca^{2+}$ ion for its maximum activity, but Peak I enzyme showed calcium independent phospholipase $A_2$ activity and showed broad range of pH (6.0~10.0) optimum. All these enzymes were not recognized by a monoclonal antibody raised against phospholipase $A_2$ from human synovial fluid. These results suggest that HAF might contain multiple forms of extracellular phospholipase $A_2$, which may neither belong to the 14KDa group II phospholipase $A_2$ family nor cytosolic phospholipase $A_2$.

• Journal of Trauma and Injury
• /
• v.18 no.2
• /
• pp.127-134
• /
• 2005

Purpose: Currently, there is a variety of systems available for predicting prognosis of trauma patients such as trauma score, Injury severity score (ISS) and acid-base variables. But it is not clear that the initial acid-base variables are predictors of prognosis in trauma patients at the emergency department. The objective of this study is to compare the base deficit, lactate and strong ion gap as an early predictor of mortality in trauma patients. Methods: Retrospective record review of 136 trauma patients needed to admit to intensive care unit via emergency department (June 2004 to February 2005). Data included age, injury mechanism, ISS, Revised trauma score (RTS), Multiple organ dysfunction score (MODS), Acute physiology and chronic health evaluation III (APACHE III), Glasgow coma scale (GCS), laboratory profiles, calculated anion gap and strong ion gap. Patients were divided into survivors and non-survivors, shock group and non-shock group with comparison by t-test;significance was assumed for p<0.05. Correlation between acid-base variables and mean arterial blood pressure (MABP) was evaluated. Results: There was a significant difference between the RTS (p=0.00), APACHE III (p=0.00), MODS (p=0.00), GCS (p=0.00) of survivors and non-survivors. There was no significant difference between the ISS (p=0.082), lactate (p=0.541), base excess (p=0.468) and SIG (p=0.894) of survivors and non-survivors. There was a significant difference between the RTS (p=0.023), APACHE III (p=0.002), lactate (p=0.000), base excess (p=0.000) and SIG (p=0.000) of shock and non-shock group. There was no significant difference between the ISS (p=0.270), MODS (p=0.442) and GCS (p=0.432) of shock and non-shock group. The base excess was most correlated to MABP (r2=0.150). Conclusion: Initial base deficit, serum lactate and SIG are not predictors of mortality in moderate to severe trauma patients. Initial base deficit, serum lactate and SIG are correlated with the mean arterial blood pressure in trauma patients in emergency department.

• Journal of Pharmaceutical Investigation
• /
• v.37 no.4
• /
• pp.223-227
• /
• 2007

A rapid, simple and sensitive LC/MS/MS method for the determination of lercanidipine in human serum was validated and applied to the pharmacokinetic study of lercanidipine. Lercanidipine and internal standard, amlodipine, were extracted from human serum by liquid-liquid extraction with hexan-isoamyl alcohol (100: 1, v/v) and analyzed on a $Symmetry^{(R)}$ MS $C_{18}$ column with the mobile phase of acetonitrile-0.2% aqueous formic acid (70: 30, v/v). Using MS/MS with multiple reaction monitoring (MRM) mode, lercanidipine and amlodipine were detected without severe interferences from human serum matrix. Lercanidipine produced a protonated precursor ion ($[M+H]^+$) at m/z 612.3 and a corresponding product ion at m/z 280.0. Internal standard produced a protonated precursor ion ($[M+H]^+$]) at m/z 409.0 and a corresponding product ion at m/z 238.0. The ruggedness of this method was investigated using quality control (QC) samples. This method showed linear response over the concentration range of 0.05-20 ng/mL with correlation coefficient greater than 0.999. The lower limit of quantitation using 0.5 mL of serum was 0.05 ng/mL, which was sensitive enough for pharmacokinetic studies. The overall accuracy of the developed method ranged from 85.51 to 112.2% for lercanidipine with overall precision (% C.V.) being 3.56-13.1%. This method showed good ruggedness (within 15% C.V.) and was successfully applied for the analysis of lercanidipine in human serum samples for the pharmacokinetic studies, demonstrating the suitability of the method.

• Journal of Biomedical Engineering Research
• /
• v.43 no.5
• /
• pp.331-340
• /
• 2022

Early afterdepolarization (EAD), a significant cause of fatal ventricular arrhythmias including Torsade de Pointes (TdP) in long QT syndromes, is a depolarizing afterpotential at the plateau or repolarization phase in action potential (AP) profile early before completing one pace. AP duration prolongation is related to EAD but is not necessarily accounted for EAD. Several computational studies suggested EAD can form from an abnormality in the late plateau and/or repolarization phase of AP shape. In this sense, we hypothesized the slope during repolarization has the characteristics to predict TdP risk, mainly focusing on the maximum slope during repolarization (dVm/dt_{max_repol}). This study aimed to predict the sensitivity of dVm/dt_{max_repol} to ion channel conductances as a TdP risk metric through a population simulation considering multiple effects of simultaneous reduction in six ion channel conductances of g_NaL, g_Kr, g_Ks, g_to, g_K1, and g_CaL. Additionally, we verified the availability of dVm/dt_{max_repol} for TdP risk prediction through the correlation analysis with qNet, the representative TdP metric. We performed the population simulations based on the methodology of Gemmel et al. using the human ventricular myocyte model of Dutta et al. Among the sixion channel conductances, dVm/dt_{max_repol} and qNet responded most sensitively to the change in g_Kr, followed by g_NaL. Furthermore, dVm/dt_{max_repol} showed a statistically significant high negative correlation with qNet. The dVm/dt_{max_repol} values were significantly different according to three TdP risk levels of high, intermediate, and low by qNet (p<0.001). In conclusion, we suggested dVm/dt_{max_repol} as a new biomarker metric for TdP risk assessment.

• Journal of Korean Society of Forest Science
• /
• v.88 no.4
• /
• pp.498-509
• /
• 1999

This study aims to clarify the effect of forest management practices(thinning and pruning) in forest hydrological processes on electrical conductivity to get the fundamental information on the facilitation of purifying water quality after forestry practices. Rainfall, throughfall, stemflow, soil and stream water were sampled at the study sites which consist of Abies holophylla and Pinus koraiensis in Kwangnung Experimental Forest for 6 months from March 1 to August 4, 1998. In case of deviding into forest hydrological processes, multiple regression equations of electrical conductivity and total amount of anion, $NO{_3}^-$ of throughfall, stemflow, soil water of management site in Abies holophylla shows high significance. And multiple regression equations of electrical conductivity and total amount of anion, $SO{_4}^{2-}$, $Cl^-$ of throughfall, stemflow, soil water of non-management site in Abies holophylla shows high significance. Multiple regression equations of electrical conductivity and $NO{_3}^-$, before non-rain days of throughfall, stemflow, soil water of management site in Pinus koraiensis shows high significance. And multiple regression equations of electrical conductivity and total amount of ion, $NO{_3}^-$, $K^+$, pH, total amount of anion of throughfall, stemflow, soil water of non-management site in Plinus koraiensis shows high significance. Multiple regression equations of electrical conductivity and pricipitation, total amount of ion, $Na^+$ of stream water in Abies holophylla and Pinus koraiensis shows high significance. In case of combining into forest hydrological processes, multiple regression equations of electrical conductivity and total amount of cation and anion, $Na^+$, $Cl^-$, and pH in rainfall, throughfall, stemflow, soil and stream water shows high significance.

• The Plant Pathology Journal
• /
• v.21 no.2
• /
• pp.99-101
• /
• 2005

Host cell death occurs during many, but not all, interactions between plants and the pathogens that infect them. This cell death can be associated with disease resistance or susceptibility, depending on the nature of the pathogen. The most well-known cell death response in plants is the hypersensitive response (HR) associated with a resistance response. HR is commonly regulated by direct or indirect interactions between avirulence proteins from pathogen and resistance proteins from plant and it can be the result of multiple signaling pathways. Ion fluxes and the generation of reactive oxygen species commonly precede cell death, but a direct involvement of the latter seems to vary with the plant-pathogen combination. Exciting advances have been made in the identification of cellular protective components and cell death suppressors that might operate in HR. In this review, recent progress in the mechanisms by which plant programmed cell death (PCD) occurs during disease resistance will be discussed.

• Proceedings of the KIPE Conference
• /
• 2016.07a
• /
• pp.411-412
• /
• 2016

최근 퍼스널 모빌리티에 대한 관심과 수요가 증대됨에 따라 전기에너지를 구동원으로 하는 소형 이동형 제품을 생활속에서 쉽게 접할 수 있게 되었다. 이러한 퍼스널 모빌리티 제품은 자이로센서 기술이 접복된 바퀴가 하나인 외발 전동휠과 세그웨이류의 제품, 전동퀵보드, 전동스쿠터 등 다양한 제품이 출시되고 있다. 또한 이들 제품의 구동전원은 대부분 리튬이차전지가 사용되고 있다. 본 논문에서는 충전과 방전을 반복하는 다셀이 직렬로 구성된 리튬 이차전지 배터리팩에서 발생되는 셀간 편차와 이로 인해 배터리팩의 전체적인 효율성이 저하되는 것을 방지하는 셀 밸런싱에 관한 기술로 과거 완속형의 표준충전에 적합한 1단 밸런싱의 문제점을 보완하기 위해 표준충전과 급속충전을 임의로 선택하여 사용하는 경우에도 정상적인 셀 밸런싱 수행은 물론 빠른 셀 밸런싱을 수행하기 위한 기법에 대해 살펴보았다.

• 한국정보디스플레이학회:학술대회논문집
• /
• 2004.08a
• /
• pp.973-974
• /
• 2004

We report the fabrication of flexible plastic ITO substrates and the measurement of oxidant permeation through the substrates. The plastic ITO substrates are composed of multiple organic and inorganic thin films. The organic thin films are deposited by vapor polymerization and the inorganic films are deposited by ion beam sputtering. In order to estimate the oxidant permeation rate, the pure Ca film is formed on the substrates and the amount of CaO produced by the oxidation of Ca is measured.