• KIPS Transactions on Computer and Communication Systems
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• v.3 no.11
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• pp.419-426
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• 2014

The recent trend of performance increase in the smart mobile devices demands more power consumption and lower batter life time. Among three battery models of mathematical model, electrochemical model and electric model, the Thevenin's equivalent circuit with non-linear function model of SOC in the electrical model is widely used. However, the OCV results have only limited accuracy because of the characteristic shift caused by temperature and age and atypical impedance property that cannot expressed by electrical components. In this paper, the new battery model that improves the accuracy of the existing models is proposed. In the proposed simulator the mathematical model for SOC characteristic is improved and the adjustment for the temperature, the age of battery and atypical electrical characteristics. In the experimental results of predicting of the battery in the static and dynamic state, the proposed simulator shows improved MSE comparing to the results of the existing methods.

• Proceedings of the KIPE Conference
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• 2020.08a
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• pp.49-51
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• 2020

본 논문에서는 전기자동차 급속 충전 시 배터리 팩의 온도 모사를 위한 열 모델링 기법을 제안한다. 배터리 등가 회로 모델을 기반으로 배터리 팩 내부 발열량을 계산하고, 배터리 열 모델 구성을 위한 파라미터 추출 실험 방안을 제안하다. 또한, 전기자동차 방열 시스템의 영향 등으로 인한 발열량 변화를 실시간으로 보정하여 온도 모사 정확도를 개선한다. 열 모델링 기법의 유효성 검증을 위하여 전기자동차용 배터리 팩 기반의 시뮬레이션 및 실험을 진행한다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.42 no.2
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• pp.150-157
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• 2014

Li-Ion battery is used in the most satellites now due to advantages such as weight, thermal dissipation and self discharge compared to the previous generations of electrochemical batteries. The performance analysis model of the Li-Ion battery is needed to aid the design of new satellite electrical power subsystem. This paper develops the performance analysis model of the Li-Ion battery to apply to the electrical power subsystem design and energy balance analysis on geostationary orbit. The analysis model receives the satellite bus power, solar array power and battery temperature and gives the battery voltage, charge and discharge currents, taper index, state of charge and power dissipation. The results from the performance analysis are compared and analyzed with the flight data to verify the model. The compared results show satisfactory without significant difference with the flight data.

• Proceedings of the KIPE Conference
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• 2019.07a
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• pp.56-58
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• 2019

배터리의 효율적인 관리와 안정적인 운영을 위해서는 배터리의 노화에 따른 배터리의 모니터링이 필요하다. 하지만 모델 기반의 SOH 예측 모델의 경우 파라미터의 변화에 대한 정확한 정보가 반영되지 않을 경우 심각한 오류를 야기 할 수 있다. 따라서 본 논문에서는 비 모델인 시계열 예측 기법 ARIMA 모델을 제안하고 전기적 특성 실험을 통한 내부 파라미터에 대한 분석과 파라미터에 대한 상관분석, 이를 통한 SOH 예측을 통해 ARIMA 모델의 특성 및 정확성에 대해 제안한다.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.38 no.3
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• pp.227-234
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• 2014

Fuel consumption rates of electric vehicles strongly depend on their battery performance. Because the battery performance is sensitive to the operating temperature, temperature management of the battery ensures its performance and durability. In particular, the temperature distribution among modules in the battery pack affects the cooling characteristics. This study focuses on the thermal modeling of a battery pack to observe the temperature distribution among the modules. The battery model is a prismatic model of 10 NiMH battery modules. The thermal model of the battery consists of heat generation, convective heat transfer through the channel and conduction heat transfer among modules. The heat generation is calculated by the electric resistance heat during the charge/discharge state. The model is used to determine a strategy for proper thermal management in Electric vehicles.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.4
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• pp.99-107
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• 2017

This paper proposes a battery model coefficient correction method for improving the accuracy of existing lithium battery equivalent models. BMS(battery management system) has been researched and developed to minimize shortening of battery life by keeping SOC(state of charge) and state of charge of lithium battery used in various industrial fields such as EV. However, the cell balancing operation based on the battery cell voltage can not follow the SOC change due to the internal resistance and the capacitor. Various battery equivalent models have been studied for estimation of battery SOC according to the internal resistance of the battery and capacitors. However, it is difficult to apply the same to all the batteries, and it tis difficult to estimate the battery state in the transient state. The existing battery electrical equivalent model study simulates charging and discharging dynamic characteristics of one kind of battery with error rate of 5~10% and it is not suitable to apply to actual battery having different electric characteristics. Therefore, this paper proposes a battery model coefficient correction algorithm that is suitable for real battery operating environments with different models and capacities, and can simulate dynamic characteristics with an error rate of less than 5%. To verify proposed battery model coefficient calibration method, a lithium battery of 3.7V rated voltage, 280 mAh, 1600 mAh capacity used, and a two stage RC tank model was used as an electrical equivalent model of a lithium battery. The battery charge/discharge test and model verification were performed using four C-rate of 0.25C, 0.5C, 0.75C, and 1C. The proposed battery model coefficient correction algorithm was applied to two battery models, The error rate of the discharge characteristics and the transient state characteristics is 2.13% at the maximum.

• Proceedings of the KIPE Conference
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• 2014.07a
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• pp.478-479
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• 2014

본 논문에서는 온도변화에 따른 리튬폴리머 배터리 모델에 대해 검증 및 분석을 진행하였다. 리튬폴리머 배터리의 전기적 모델은 1차 R-C 등가회로를 기반으로 구성하였고, Matlab/Simulink를 이용하여 배터리 모델을 구현하였다. FTP-72 충 방전 사이클의 전류패턴을 이용하여 $0^{\circ}C$, $25^{\circ}C$, $40^{\circ}C$ 온도 변화에 따른 실제 리튬폴리머 배터리와 배터리 모델의 단자전압을 비교 분석하였다, 최대오차율은 $0^{\circ}C$에서 5.24%, $25^{\circ}C$에서 1.23%, $40^{\circ}C$에서 0.77%로 나타났으며, 이를 통해 여러 온도 환경에서도 제안한 배터리 모델이 높은 정확도를 갖는 것을 검증하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.168-169
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• 2022

As the electric vehicle market has grown rapidly, the battery market has grown exponentially. Due to the gap between the generation speed of quality control technology and battery mass production speed for batteries mounted on electric vehicles, many durability problems have arisen for batteries. Most accidents are caused by electrical factors, but there is no technology to quickly inspect them. In this paper, we are going to propose a quick analysis of battery cell defects using the GAN model.

• Proceedings of the KIPE Conference
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• 2017.11a
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• pp.169-170
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• 2017

본 논문에서는 Matlab을 이용하여 배터리의 전기적 모델과 내부 파라미터 추출 통해 시뮬레이션을 하였다. IR-drop에 의해 변화한 전압 데이터를 이용하여 부하 전류 변화로 인한 시뮬레이션과 실험 데이터 간의 오차 개선함으로써 배터리 전기적 모델과 실험 전압 데이터를 이용함으로써 확장 칼만 필터(extended kalman filter; EKF) 같은 적응 알고리즘을 사용하지 않고도 오차가 감소된 시뮬레이션이 가능함을 확인하였다.

• Proceedings of the KIPE Conference
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• 2014.07a
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• pp.140-141
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• 2014

본 논문에서는 DC배전 전기추진 선박에서 전력품질 향상 및 전력 공급 안정성을 위한 리튬-이온 배터리 에너지 저장장치(BESS)를 적용하고 이에 대하여 기술한다. MATLAB/Simulink를 이용하여 DC배전 전기추진 선박 및 리튬-이온 배터리 에너지 저장장치의 시뮬레이션 모델을 구현하였으며, 구현된 시뮬레이션 모델에 발전 전력과 소비 전력 간의 전력 수급 차로 DC 계통의 전압 변동이 발생되는 추진전동기의 급격한 가, 감속 운전 시나리오를 적용하였다. 적용 시나리오에 의해 발생된 전압 맥동 현상은 리튬-이온 배터리 에너지 저장장치를 이용하여 IEEE STD. 1709 - 2010에서 제시하는 전압 허용 범위를 만족함으로써 DC배전을 갖는 전기추진 선박의 전력품질 향상 및 전력 공급의 안정성 여부를 검토한다.