• Proceedings of the KIPE Conference
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• 2019.07a
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• pp.4-5
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• 2019

본 논문은 DC마이크로그리드에서 저전압 배터리 에너지 저장 시스템과 DC 버스 연결을 위한 Dual Active Bridge(DAB) 컨버터의 제어 방법에 대한 연구이다. DC 마이크로그리드에서 전력을 효율적으로 사용하기 위해 양방향 전력전달이 쉬운 DAB 컨버터는 많이 사용되고 있다. 다만, 낮은 배터리 저장 시스템을 사용하는 경우 과도상태에서 DC 버스 측 커패시터를 충전하기 위해 높은 돌입전류가 발생하게 된다. 이러한, 높은 돌입전류는 시스템의 전력반도체 소자를 파손시키는 문제를 가져온다. 따라서, 초기 돌입전류를 저감시킬 수 있는 소프트 스타트 알고리즘이 필요하다. 본 논문에서는 돌입전류 저감을 위한 소프트 스타트 알고리즘을 제안하고, 3kW급 DAB 컨버터의 실험 결과를 바탕으로 제안 된 알고리즘을 검증하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.449-452
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• 2024

본 논문에서는 리튬이온 배터리의 SOC(State Of Charge) 초기 정보의 정확도 향상을 위하여 확장칼만필터(EKF) 방법을 적용한 효율적 SOC 추정 알고리즘을 제안한다. 일반적인 전류적산법을 사용하는 방법은 초기 조건이 부정확한 경우에 오차가 발생하고 시간에 따라 누적 오차가 커지는 단점이 있다. 이러한 문제점 해결을 위하여 초기 SOC 추정값에 EKF 방법을 동시에 적용하는 알고리즘을 제안한다. 제안 알고리즘의 평가를 위한 실험을 통하여 제안 방법이 기존 SOC 추정 방법보다 추정 오차가 개선됨을 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.484-487
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• 2015

This paper describes a dual-input battery charger with MPPT control using photovoltaic and piezoelectric energy. Each energy is harvested from photovoltaic cells and piezoelectric cells and is stored to each capacitor. The battery voltage is boosted by charger block and two energy sources are used as input to charge battery capacitor. A DC-DC boost converter is designed to boost the battery voltage, and inductor sharing technique is employed such that only one inductor is required. The time division ratio for piezoelectric cell and photovoltaic cell is set to 8:1. The proposed circuit is designed in a 0.35um CMOS process technology. The condition of battery capacitor is managed by battery management block and the battery voltage can be boosted up to 3V. The maximum efficiency of the designed entire system is 88.56%, and the chip area including pads is $1230um{\times}1330um$.

• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4692-4697
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• 2014

A micro-grid including photovoltaic source and Li battery has been installed and operated for several years at the campus of USF and been used as a test bed. Photovoltaic power source has been strongly influenced by the location, weather and climate of the installed area. To compensate for the uncertainty of photovoltaic source's power output, a Li battery is connected directly to the photovoltaic source and supplies electric power to the grid. The Li battery is operated to supply power output to the grid according to the charging or discharging mode of the battery based on the average power output of the photovoltaic source, which is calculated from the monitored data for several years. The grid of the photovoltaic and Li battery system is operated as a severe loading condition and the operating characteristics of PV source and Li battery cells are analyzed in detail.

• Transactions of the Korean Society of Automotive Engineers
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• v.10 no.5
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• pp.121-128
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• 2002

In this paper, the fuel economy of plug-in type hybrid electric vehicle is investigated through simulation. For the simulation study, 2 shaft type parallel hybrid powertrain is chosen and its operation modes are described. The operation algorithm which yields operation points of minimal fuel cost is suggested. Dynamic model fur operation of HEV and simulation procedure is described. Simulation results of fuel economy is compared to non plug-in type HEV as well as conventional vehicle. With total driving distance of 37km and full usage of 2kwh of electric energy stored in battery pack, plug-in type HEV shows 28-30% improved fuel economy compared to non plug-in type HEV and 86-93% improved fuel economy compared to conventional vehicle.

• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.15-23
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• 2017

This paper reports a SOC(State-of-Charge) estimation method using the extended Kalman filter(EKF) algorithm, which can allow real-time implementation and reduce the error of the model and be robust against noise, to accurately estimate and evaluate the charging/discharging state of the EV(Electric Vehicle) battery. The battery was modeled as the first order Thevenin model for the EKF algorithm and the parameters were derived through experiments. This paper proposes the changed method, which can have the SOC to 0% ~ 100% regardless of the aging of the battery by replacing the rated capacity specified in the battery with the maximum chargeable capacity. In addition, This paper proposes the EKF algorithm to estimate the non-linearity interval of the battery and simulation result based on Ah-counting shows that the proposed algorithm reduces the estimation error to less than 5% in all intervals of the SOC.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.1
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• pp.71-78
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• 2020

In the case of power generation using renewable energy, power production may not be smooth due to the influence of the weather. The energy storage system (ESS) is used to increase the efficiency of solar and wind power generation. ESS has been continuously fired due to a lack of battery protection systems, operation management, and control system, or careless installation, leading to very big casualties and economic losses. ESS stability and battery protection system operation management technology is indispensable. In this paper, we present a battery level calculation algorithm and a failure prediction algorithm for ESS optimization and stable operation. The proposed algorithm calculates the correct battery level by accumulating the current amount in real-time when the battery is charged and discharged, and calculates the battery failure by using the voltage imbalance between battery cells. The proposed algorithms can predict the exact battery level and failure required to operate the ESS optimally. Therefore, accurate status information on ESS battery can be measured and reliably monitored to prevent large accidents.

• The Transactions of the Korean Institute of Power Electronics
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• v.9 no.2
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• pp.187-193
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• 2004

For a power source of usual electronic devices such as PDA, smart phone, UPS and electric vehicle, the battery made of serially connected multiple cells is generally used. In this case, if there are some unbalanced among cell voltages, the total lifetime and the total capacity of the battery are limited to a lower value. To maintain a balanced condition in cells, an effective method of regulating the cell voltage in indispensable. In this paper, we propose the design of a balancing circuit for electronic appliances. The balancing system was controlled by a micro-controller which enables to implement the balancing action during charging period. Proposed method has been verified by the experiment using the charger and recorder. The experimental results show that the individual battery equalization can improve battery capacity and battery lifetime and performance through an extended operational time.