• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.50 no.12
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• pp.819-828
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• 2022

Sensitivity of aircraft sizing depending on battery performance was studied for a generic quad tilt rotor type electric vertical takeoff and landing vehicle. The mission requirements proposed by Uber Elevate and NASA were used for initial sizing, and the calculated gross weight is ranged between 5,000lb and 11,000lb for battery specific energy range of 200-400Wh/kg in pack level and continuous discharge rate range of 4-5C. For the assumed gross weight of 7,000lb, the required battery performance was calculated with two different criteria: available power and energy, and the effects of battery specific energy and discharge rate are analyzed. The maximum discharge rate is also recommended considering failure cases such as one battery pack inoperative and one prop rotor inoperative.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.960-961
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• 2015

청정지역으로 규정된 제로에미션 지역을 통과하기 위해서는 배터리를 포함한 전기시스템을 사용하여 외력 특성과 무관하게 안정된 운전성능을 유지해야만 한다. 또한 전기시스템이 항구에서 완충된 상태로 출항이 진행되어서 목표지점에 도착한 경우 뿐만 아니라, 운항 중 발전기 시스템에서 배터리를 충전하고 회항지점에서 항구까지 안정된 전력을 유지해야만 한다. 그러나 운항이 진행되면서 선체에 작용되는 외력을 극복하기 위해 추진력을 급속히 변화하게 된다. 이러한 방법은 제한된 에네지를 사용하는 전기시스템에서 급격한 속도 변화는 에너지 사용량을 증가시키고, 진동, 발진등 추진체에 수명을 단축시키는 단점을 가지고 있다. 본 논문에서는 전기시스템의 전력 변화량을 기반으로 제로에미션을 운항하는 운전방법을 제안한다. 제안된 속도제어방법은 모드별로 선정된 속도변화량을 기준으로 모터의 토크응답성과 전력 변화특성을 PSIM을 사용하여 모의시험하였고, 구동부 하드웨어를 구현하여 성능을 부하 모의시험장치에서 검증하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.284-286
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• 2014

여행자들은 여행 중 지도나 네비게이션 (Navigation) 어플리케이션을 종종 사용한다. 하지만 대부분의 지도 지도나 네비게이션 어플리케이션은 비용을 지불하고 네트워크를 사용하여야 하며 실시간으로 많은 지도 이미지를 보여주게 되어 네트워크 비용이 가중된다는 문제점이 있다. 또한, 이를 화면에 표시하기 위해 많은 배터리를 소모하는 문제를 가진다. 이러한 문제를 해결하기 위해서 여행자들의 네트워크 비용 부담을 줄이고, 여행 중 충전이 어려운 스마트폰의 배터리 사용을 최소화 하는 방안을 제안한다. 제안하는 방법은 네트워크가 연결되지 않은 상태에서도 목적지를 안내해주는 안드로이드 기반 응용 프로그램으로, 본 논문에서는 이를 비네트워크 그린 네비게이션(Network-free Green Navi) 라고 명한다. 비네트워크 그린 네비게이션은 최소한의 발광 이미지를 사용하며 오직 GPS 센서만을 사용해 간단하게 목적지를 안내해준다. 이는 여행 중 문제가 되는 요소를 단순하지만 근본적으로 해결하였다는 점에서 큰 의미를 가진다.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.3
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• pp.67-77
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• 2024

Increasing energy efficiency in factories is an activity aimed at optimizing resource allocation in manufacturing processes to establish production plans. However, this strategy may not apply effectively when night shifts are unavoidable. Additionally, continuous fluctuations in production requirements pose challenges for its implementation in the factory. Recently, with the rapid proliferation of electric vehicles (EVs), technology utilizing electric vehicle batteries as energy storage systems has gained attention. Technology using these batteries can be an alternative for factory energy management. In this paper, a factory energy management method using EV batteries is proposed. The proposed method is analyzed using PSCAD/EMTDC software, considering the state of charge of EV batteries and Time-of-Use (TOU) rates. The proposed method was compared with production scheduling established considering predicted power usage and TOU rates. As a result, production scheduling saved 4,152 KRW per day, while the proposed method saved 7,286 KRW in electricity costs. Through this paper, the possibility of utilizing EV batteries for factory energy management has been demonstrated.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.31 no.7
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• pp.118-126
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• 2003

In this study, a battery charge and discharge regulator of modular type is designed as paralleled bi-directional converter that is possible to provide the power without failure not only in the steady state but also in the transient period by the step load variation or the unexpected faults among the converter modules. Each converter module is designed to get stability, performance, reliability, and maintainability and the average current mode method used for controller has the advantages such as noise immunity, fast response, and the real average current signal acquisition. The equivalent model and small signal model for the paralleled battery chargerIdischarger are presented, and also the transfer functions are analyzed for the CCM(Continuous Charge Mode), CDM(Continuous Discharge Mode) and DDM(Discontinuous Discharge Mode). The experiments of the paralleled bi-directional converter are carried out in the step load variation, and in faults of one converter module respectively. And the performance of paralleled bi-directional converter is verified via the experimental results.

• Journal of Advanced Marine Engineering and Technology
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• v.36 no.4
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• pp.430-436
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• 2012

This study was conducted to measure battery's voltage drop in a compact electric vehicle to get driving performance in various driving situations. In the experiment, to evaluate the energy consumption and milage, system performance have measured with changing of the driving speed and the reduction of driving distance when the heater was operating. The battery of the car in this study is lead type storage battery. The driving velocity was changed from 10km/h to 50 km/h with 20km/h intervals and the operating step of the heating device. As results, the electronic consumption rate was maximum at 35 km/h of vehicle speed and if the driver turning the heater at maximum, capacity will lead to 35% of energy consumption increment.

• Proceedings of the KIPE Conference
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• 2018.11a
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• pp.213-214
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• 2018

본 논문에서는 전기자동차 온-보드 충전기용 단상 cycloconverter-type high frequency link 컨버터의 전력 제어성능과 동적 응답특성을 개선하기 위하여 예측전류제어 기법을 적용한다. 배터리를 충전 및 방전하기 위하여 전력계통에 연결되는 V2G 충전기는 전압 변동, 고조파 왜곡 등의 외란 발생에도 강인한 동적 응답 특성을 유지하여야 한다. 예측전류제어 기법이 적용된 제어기는 계통 외란이 존재하는 경우에도 전력 레퍼런스를 빠르게 추적하고 정확한 듀티를 생성할 수 있으므로 우수한 동적 및 과도 응답특성을 갖는다. 제안하는 제어기의 성능과 파라미터 변동에 대한 민감도는 PSIM 시뮬레이션을 이용하여 평가되며, 여러 계통외란 상태에서 PI 제어기와 비교된다.

• Journal of IKEEE
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• v.23 no.4
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• pp.1328-1336
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• 2019

To maintain the safe and optimal performance of batteries, accurate estimation of state of charge (SOC) is critical. In this paper, Long short-term memory network (LSTM) based on the artificial intelligence algorithm is applied to address the problem of the conventional coulomb-counting method. Different discharge cycles are concatenated to form the dataset for training and verification. In oder to improve the quality of input data for learning, preprocessing was performed. In addition, we compared learning ability and SOC estimation performance according to the structure of LSTM model and hyperparameter setup. The trained model was verified with a UDDS profile and achieved estimated accuracy of RMSE 0.82% and MAX 2.54%.

• Transactions of the Korean Society of Automotive Engineers
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• v.24 no.4
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• pp.480-486
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• 2016

Manufacturers have been applying several technologies that can improve the fuel economy of their cars. The regulated voltage control(RVC) system, is one of those technologies being used in passenger cars. In RVC, the voltage of an alternator is controlled depending on the electrical load demand or battery SOC, although each manufacturer differs from another in terms of detail. RVC can reduce the load of an alternator by consuming the stored energy of a battery and simultaneously generate energy. In this paper, a diesel passenger car equipped with an RVC system was tested under FTP-75 and HWFET modes to evaluate fuel economy as their initial battery SOC(100, 90, 80 and 60 %). The test results showed that the initial SOC affects fuel economy only under the FTP-75 mode. FTP-75 fuel economy of the 60% SOC was 13.2 % lower than the 100 % SOC. Also, the simultaneous consumption of the two energy sources did not appear in 60 % SOC.

• Journal of IKEEE
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• v.24 no.2
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• pp.610-618
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• 2020

This paper presents the modeling of hybrid railway vehicles with hydrogen Fuel-Cells (FCs)/battery using a rule-based algorithm. The driving power of traction system is determined with the speed-torque curve by operation area of the electric machine and the electrical systems are modeled. The demanded power of electrical systems is set with the energy management system (EMS). The consumption of hydrogen is effectively managed with the subdivided operation region depending on the state of charge (SOC). The validity of the modeling is verified using MATLAB/Simulink.