• International Journal of Internet, Broadcasting and Communication
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• 제15권3호
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• pp.118-121
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• 2023

Recently, green energy support policies have been announced around the world in accordance with environmental regulations, and asthe market grows rapidly, demand for batteries is also increasing. Therefore, various methodologies for battery diagnosis and recycling methods are being discussed, but current accurate life prediction of batteries has limitations due to the nonlinear form according to the internal structure or chemical change of the battery. In this paper, CS2 lithium-ion battery measurement data measured at the A. James Clark School of Engineering, University of Marylan was used to predict battery performance with high accuracy using a convolutional neural network (CNN) model among deep learning-based models. As a result, the battery performance was predicted with high accuracy. A data structure with a matrix of total data 3,931 ☓ 19 was designed as test data for the CS2 battery and checking the result values, the MAE was 0.8451, the RMSE was 1.3448, and the accuracy was 0.984, confirming excellent performance.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2009년도 춘계학술대회 논문집
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• pp.72-75
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• 2009

In this paper, lithium-ion-polymer battery based standalone photovoltaic energy storage is presented. conventional system was difficult to choose hi-directional DC-DC converter because of unbalanced voltage of batteries. The other side, lithium-ion-polymer battery hardly contains unbalanced voltage between each batteries. And Lithium Polymer Battery is clean battery because is doesn't contain heavy metals such as Nickel, Cadmium. We analyzed validity of algorithms according to load pattern for the system through the simulation and experimental results.

• Journal of Electrochemical Science and Technology
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• 제10권2호
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• pp.250-255
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• 2019

Poly(ethylene oxide) (PEO)-based solid polymer electrolytes (SPEs) show promise for improving the lithium ion battery safety. However, due to oxidation of the PEO group and corrosion of the Al current collector, PEO-based SPEs have not previously been effective for use in $LiCoO_2$ (LCO) cathode materials at room temperature. In this paper, a semi-interpenetrating polymer network (semi-IPN) PEO-based SPE was applied to examine the performance of a LCO/SPE/Li metal cell at different voltage ranges. The results indicate that the SPE can be applied to LCO-based lithium polymer batteries with high electrochemical performance. By using a carbon-coated aluminum current collector, the Al corrosion was mostly suppressed during cycling, resulting in improvement of the cell cycle stability.

• Journal of Power Electronics
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• 제19권4호
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• pp.858-868
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• 2019

With the widespread use of modern clean energy, lithium-ion batteries have become essential as a more reliable energy storage component in the energy Internet. However, due to the difference in monomers, some of the battery over-charge or over-discharge in battery packs restrict their use. Therefore, a novel multiphase interleaved converter for reducing the inconsistencies of the individual cells in a battery pack is proposed in this paper. Based on the multiphase converter branches connected to each lithium battery, this circuit realizes energy transferred from any cell(s) to any other cell(s) complementarily. This flexible interlaced converter is composed of an improved bi-directional Buck-Boost circuit that is presented with its own available control method. A simulation model based on the PNGV model of fundamental equalization is built with four cells in PSIM. Simulation and experimental results demonstrate that converter and its control achieve simple and fast equalization. Furthermore, a comparison of traditional methods and the HNFABC equalization is provided to show the performance of the converter and the control of lithium-based battery stacks.

• 전력전자학회논문지
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• 제17권3호
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• pp.222-229
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• 2012

The SOC estimation method based on Kalman Filter(KF) requires the accurate battery model to express the electrical characteristics of the battery. However, the performance of KF SOC estimator can hardly be improved because of the nonlinear characteristic of the battery. This paper proposes the new KF SOC estimator of Lithium-Polymer Battery(LiPB), which considers the variation of parameters based on the hysteresis effect, the magnitude of SOC, the charging/discharging mode and the on/off load conditions. The proposed SOC estimation method is verified with the PSIM simulation combined the experimental data of the LiPB.

• 한국군사과학기술학회지
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• 제17권3호
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• pp.378-386
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• 2014

In this paper, safety evaluation method simulating battlefield environment was studied to verify military operability of commercial lithium secondary battery. Based on the MIL-STD-2105D and STANAG standards, safety tests of lithium secondary battery module were conducted, such as bullet impact, fragment impact, fast cook-off and slow cook-off. All results satisfied the safety evaluation criteria, founded on military standard. It suggests that the lithium secondary module has high potential to be applied in a military power source. The safety evaluation methods developed in this paper can be valuable to propose the new military standards for commercial lithium secondary batteries.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2009년도 공동학술대회
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• pp.435-438
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• 2009

항로표지용 등부표는 주요 항로 및 항만 입출항 선박 안전 유도를 위한 해상교통 안전 시설로서 현재는 해상교통환경 변화로 다기능이 요구되는 상황이다. 최근 고광도 등명기와 항로표지원격감시제어 및 e-Navigation 지원시스템구축과 해양기상관측장비 등을 구축함에 따라 항로표지용 등부표에 더욱 안정적인 전원 공급을 위한 고성능 축전지가 요구되고 있다. 본 연구에서는 리튬이차전지 중에서도 안전성이 우수한 리튬폴리머전지 설계기술을 적용, 기존 산화물계보다 안전성이 보다 더 우수한 $LiFePO_4$를 양극재료로 사용하여 단전지를 개발하고 단전지의 전기적 특성 고찰하였다. 또한 단전지를 이용한 3.6kWh급 축전지를 제작하여 그 성능을 연축전지와 비교 분석하였다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2009년도 정기총회 및 추계학술대회 논문집
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• pp.265-267
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• 2009

we proposed a grid connected peak load compensation system with high discharge current characteristics based on lithium polymer battery for development of the next generation power-station. The lithium polymer battery has faster discharge current characteristics than conventional battery, so that can compensate high active power demanded by load in a short time using the low capacity battery bank. Therefore, it is possible to control power leveling of grid by measuring storage energy of battery and active power which is needed from load. The validity of proposed system was verified through the simulation and experiment.

• 전력전자학회논문지
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• 제15권6호
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• pp.441-450
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• 2010

리튬전지는 다양한 전자기기의 구동전원으로 널리 사용되고 있으며, 충전과 방전 동작을 수차례 반복하는 화성공정은 이러한 리튬전지의 생산에 필수적이다. 본 논문에서는 충전동작과 방전동작을 하나의 장치로 수행할 수 있는 리튬전지 충방전용 직류-직류 변환기를 제안하고 설계한다. 제안한 변환기는 리튬전지의 충방전 특성을 고려하여 설계하였으며, 충전모드에서는 포워드 변환기로 동작하고 방전모드에서는 절연된 부스트 변환기로 동작한다. 해석을 바탕으로 설계조건에 부합하는 변압기의 권선 수, 인덕터, 커패시터 및 스위칭 소자를 설계하였다. 끝으로 설계한 변수를 적용한 시뮬레이션과 실험을 통하여 본 논문에서 제안한 변환기 설계의 타당성을 입증하였다.

• Journal of Electrical Engineering and Technology
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• 제13권2호
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• pp.631-636
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• 2018

This paper proposed an optimal operation strategy for a hybrid energy storage system (HESS) with a lithium-ion battery and lead-acid battery for mild hybrid electric vehicles (mild HEVs). The proposed mild HEV system is targeted to mount the electric motor and the battery to a conventional internal combustion engine vehicle. Because the proposed mild HEV includes the motor and energy storage device of small capacity, the system focuses on low system cost and small size. To overcome these limitations, it is necessary to use a lead acid battery which is used for a vehicle. Thus, it is possible to use more energy using HESS with a lithium battery and a lead storage battery. The HESS, which combines the lithium-ion battery and the secondary battery in parallel, can achieve better performance by using the two types of energy storage systems with different characteristics. However, the system requires an operation strategy because accurate and selective control of the batteries for each situation is necessary. In this paper, an optimal operation strategy is proposed considering characteristics of each energy storage system, state-of-charge (SOC), bidirectional converters, the desired output power, and driving conditions in the mild HEV system. The performance of the proposed system is evaluated through several case studies with respect to energy capacity, SOC, battery characteristic, and system efficiency.