• Proceedings of the KIPE Conference
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• 2015.11a
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• pp.113-114
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• 2015

본 논문은, 태양광 및 차세대 이동수단에 적용되는 리튬-이온 전지의 전기적 모델링를 수행하였다. 전지의 전기적 모델링을 통하여 충 방전 특성, 용량, 개방 전압, 내부 저항과 같은 전지의 특성을 모의함으로써, 다양한 환경에서 어플리케이션에 적용할 전지를 테스트해 볼 수 있다. 리튬-이온 전지는 LGD 18650 B4(2,600mAh) 모델을 사용하였으며, 실험과 시뮬레이션을 통하여 설계된 모델의 타당성을 검증한다.

• Proceedings of the KAIS Fall Conference
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• 2011.05a
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• pp.85-88
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• 2011

석유 등 화석연료로 인한 지구온난화 문제와 더불어 일본 대지진 이후 원자력발전의 안전에 의문이 제기 되면서 신재생에너지에 대한 관심이 한층 고조되고 있다. 이에 발맞추어 국가정책으로 녹색성장 정책이 실행됨에 따라 2030년까지 전체 에너지원 중 신에너지전원의 비중을 전체 에너지원의 11%로 확대하는 정책을 적극적으로 추진하고 있다. 따라서 신재생에너지를 통하여 얻은 전기에너지를 저장하여 사용 할 수 있는 2차 전지에 대한 연구가 다수의 산업 현장에서 각광을 받고 있다. 최근 2차 전지는 Smart Grid 및 전기자동차분야에서 폭넓게 사용 되면서 정확한 출력전압, SOC 및 충-방전 예상 시간을 추정하여 2차 전지의 과충전, 과방전으로 인하여 생기는 고장 및 사고를 미연에 방지하고 2차 전지 사용 시 편의성을 제공하기 위한 시스템에 대한 연구가 필요한 실정이다. 본 논문은 이런 실정에 맞추어 LabVIEW 프로그램을 활용하여 2차 전지의 상태를 실시간으로 감시 및 제어하는 프로그램을 제작함으로써, 사고 시 2차 전지에 가해지는 피해 방지 및 관리 시 발생하는 여러 문제점에 대한 효율적인 해결 방안을 제시하고자 한다.

• Journal of the Microelectronics and Packaging Society
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• v.31 no.1
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• pp.16-22
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• 2024

Along with the high interest in electric vehicles and new renewable energy, there is a growing demand to apply lithium-ion batteries in the construction equipment industry. The capacity of heavy construction equipment that performs various tasks at construction sites is rapidly decreasing. Therefore, it is essential to accurately predict the state of batteries such as SOC (State of Charge) and SOH (State of Health). In this paper, the errors between actual electrochemical measurement data and estimated data were compared using the Dual Extended Kalman Filter (DEKF) algorithm that can estimate SOC and SOH at the same time. The prediction of battery charge state was analyzed by measuring OCV at SOC 5% intervals under 0.2C-rate conditions after the battery cell was fully charged, and the degradation state of the battery was predicted after 50 cycles of aging tests under various C-rate (0.2, 0.3, 0.5, 1.0, 1.5C rate) conditions. It was confirmed that the SOC and SOH estimation errors using DEKF tended to increase as the C-rate increased. It was confirmed that the SOC estimation using DEKF showed less than 6% at 0.2, 0.5, and 1C-rate. In addition, it was confirmed that the SOH estimation results showed good performance within the maximum error of 1.0% and 1.3% at 0.2 and 0.3C-rate, respectively. Also, it was confirmed that the estimation error also increased from 1.5% to 2% as the C-rate increased from 0.5 to 1.5C-rate. However, this result shows that all SOH estimation results using DEKF were excellent within about 2%.

• Journal of Advanced Marine Engineering and Technology
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• v.40 no.7
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• pp.635-641
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• 2016

In order to drive a hybrid propulsion device which combines an engine and an electric propulsion unit, battery packs that contain dozens of unit cells consisting of a lithium-based battery are used to maintain the power source. Therefore, it is necessary to more strictly manage a number of battery cells at any given time. In order to manage battery cells, generally voltage, current, and temperature data under load condition are monitored from a personal computer. Other important elements required to analyze the condition of the battery are the internal resistances that are used to judge its state-of-health (SOH) and the open-circuit voltage (OCV) that is used to check the battery charging state. However, in principle, the internal resistances cannot be measured during operation because the parallel equivalent circuit is composed of internal loss resistances and capacitance. In most energy storage systems, battery management system (BMS) operations are carried out by using data such as voltage, current, and temperature. However, during operation, in the case of unexpected battery cell failure, the output voltage of the power supply can be changed and propulsion of the hybrid vehicle and vessel can be difficult. This paper covers the implementation of a high safety battery management system (HSBMS) that can estimate the OCV while the device is being driven. If a battery cell fails unexpectedly, a DC power supply with lithium iron phosphate can keep providing the load with a constant output voltage using the remainder of the batteries, and it is also possible to estimate the internal resistance.

• The Transactions of the Korean Institute of Power Electronics
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• v.19 no.2
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• pp.139-148
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• 2014

State-of-charge (SOC) is one of the significant indicators to estimate the driving range of the electric vehicle and to control the alternator of the conventional engine vehicles as well. Therefore its precise estimation is crucial not only for utilizing the energy effectively but also preventing critical situations happening to the power train and lengthening the lifetime of the battery. However, lead-acid battery is time-variant, highly nonlinear, and the hysteresis phenomenon causes large errors in estimation SOC of the battery especially under the frequent discharge/charge. This paper proposes a novel estimation technique for the SOC of the Lead-Acid battery by using a well-known Extended Kalman Filter (EKF) and an electrical equivalent circuit model of the Lead-Acid battery considering diffusion and hysteresis characteristics. The diffusion is considered by the reconstruction of the open circuit voltage decay depending on the rest time and the hysteresis effect is modeled by calculating the normalized integration of the charge throughput during the partial cycle. The validity of the proposed algorithm is verified through the experiments.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.28 no.11
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• pp.77-83
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• 2014

The Estimation of State of Charge(SOC) for batteries is an important aspect of a Battery Management System(BMS). A method for estimating the SOC is proposed in order to overcome the individual disadvantages of the current integral and Open Circuit Voltage(OCV) estimation methods by combining them using Extended Kalman filter(EKF). The non-linear characteristics of the Li-Ion RC battery model used in this study is also solved through EKF. The proposed method is simulated in a Matlab environment with a Li-Ion Kokam battery (3.7V, 1,500mAh). Results showed that there is an improvement in the estimation error when using the proposed model compared to the conventional current integral method.

• Korean Journal of Soil Science and Fertilizer
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• v.15 no.4
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• pp.277-283
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• 1982

A series of experiments were conducted on procedures of $N_2$ fixation measurements with soybean (Glycine max. L.) root nodules by acetylene reducing assay and estimation of amounts of $N_2$ fixed by soybean root nodules grown in the pot. The results are summarized as follows; 1. In case of nitrogen fixing activities were determined by means of acetylene reducing method, more appropriates results were obtained with direct determination of root nodules which was adhering from root under 2 hours after incubation, while more fluctuated data was obtained with root nodules determined under separated conditions. 2. The weight of soybean nodules was linearly increased from 17 days to 55 days after planting, whereas, the amounts of $N_2$ fixation from soybean nodules were Peaked at 38 days after planting, and declined thereafter. 3. When calculated upon the basis of the amounts of $N_2$ fixed as measured by acetylene reducing activities in single soybean plant, it was found that the average amount of symbiotic $N_2$ fixation falls in the range of 80 kg N per ha.

• Economic and Environmental Geology
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• v.37 no.5
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• pp.569-583
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• 2004

The rock properties of the West pagoda in the Gameunsaji temple site are composed mainly of dark grey porphyritic granodiorite with medium grained equigranular texture and developed with small numerous dioritic xenoliths. These xenoliths occurred with small holes due to different weathering processes. As a weathering results, the rock properties of this pagoda occur wholly softened to physical hardness because of a complex result of petrological, meteorological and biological causes. Southeastern part of the pagoda deteriorated seriously that the surface of rock blocks showed partially exfoliations, fractures, open cavities in course of granular decomposition of minerals, sea water spray and crystallization of salt from the eastern coast. The Joint between blocks has small or large fracture cross each other, contaminated and corrupted for inserting with concrete, cement mortar, rock fragments and iron plates, and partially accelerated coloration and fractures. There are serious contamination materials of algae, fungus, lichen and bryophytes on the margin and the surface on the roof stone of the pagoda, so it'll require conservation treatment biochemically for releasing vegetation inhabiting on the surface and the discontinuous plane of the blocks because of adding the weathering activity of stones and growing weeds naturally by soil processing on the fissure zone. Consisting rock for the conservation and restoration of the pagoda would be careful choice of new rock properties and epoxy to reinforce for the deterioration surfaces. For the attenuation of secondary contamination and surface humidity, the possible conservation treatments are needed.