• Proceedings of the KIPE Conference
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• 2013.07a
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• pp.554-555
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• 2013

본 연구는 스마트 e버스 시스템 중 배터리 교환로봇을 이용한 배터리 교체시설과 배터리 급속충전 시설인 자동 배터리 교환시설의 전기안전성 안전진단을 통하여 현 시설물의 문제점 분석과 개선사항 도출을 통하여 안전한 사용을 위한 스마트 e 버스 시스템의 전기 시설 기준(안)을 개발하는데 도움이 되고자 한다

• Proceedings of the KIPE Conference
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• 2020.08a
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• pp.55-57
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• 2020

최근 항공기 분야에서는 기존 내연기관이 아닌 배터리를 이용한 전기 추진 방식(Electric Propulsion)에 대한 연구가 활발하다. 특히 완전 전기 추진 시스템에서는 모든 전력을 배터리로부터 입력받는다. 배터리는 잔존용량에 따라 배터리의 출력전압의 크기가 변하는 특성을 갖는다. 이러한 특성은 전동기 상전류의전고조파 왜율(THD)에 영향을 준다. 본 논문에서는 배터리 잔존용량에 따른 상전류 맥동을 분석하였고, 배터리 동작 특성에 맞추어 상전류 THD 조건을 만족하고 최대 효율로 인버터를 동작하기 위한 스위칭 주파수 선정 알고리즘을 제안하였다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.4
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• pp.95-104
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• 2013

As global warming and depletion of fossil fuel are considered as urgent problems, the development of electric vehicle (EV) is getting more attention by automobile industry. However, the wide adoption of EVs is not coming yet, because of many issues such as long recharging time and high cost of batteries etc. As an alternative solution to the conventional battery charging EV, the idea of battery exchanging EV is introduced. To realize the battery exchanging business model, one should solve the issues of ownership and reliability of battery. To address such issues, the concept of battery sharing should be considered together with good traceability system. In this study, we studied RFID code structure to provide better visibility and traceability for shared EV batteries. The proposed RFID code and code generation system is based on GRAI-96 of EPCglobal and included factors such as chemical, physical, and manufacturing features. The designed code can be also used as the ID of each battery.

• 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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• 2013.11a
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• pp.198-199
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• 2013

본 논문에서는 리튬공기(Li-Air) 배터리를 소개하고 전기화학적 특성분석을 간단히 진행하였다. 우선, 리튬공기 배터리의 동작원리를 소개하고 기존 리튬이온(Li-Ion) 배터리와의 차이점을 제시하였다. 각 만방전압에 따른 배터리의 전기화학적 특성분석을 위해 방전용량 및 임피던스 특성커브를 분석하였다. 더불어, 향후 State-of-charge(SOC) 추정을 위한 데이터를 위해 Open-circuit voltage(OCV) 및 실제 충방전 전류 프로파일에 따른 충방전 전압을 분석하였다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.1
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• pp.121-135
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• 2013

This paper propose an efficient algorithm for selecting electric bus charging facility location. In nature, the optimal charging facility location problem is similar to Set Covering Problem. Set Covering Problem is the problem of covering all the rows of an $m{\times}n$ matrix of ones and zeros by a subset of columns with a minimal cost. It has many practical applications of modeling of real world problems. The Set Covering Problem has been proven to be NP-Complete. In order to overcome the computational complexity involved in seeking optimal solutions, this paper present an enhanced greedy algorithm and simulated annealing algorithm. In this paper, we apply the developed algorithm to Seoul's public bus system.

• Journal of IKEEE
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• v.23 no.2
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• pp.667-674
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• 2019

The recent incidents of Nuclear Power Plant(NPP) gave rise to a total power outage caused by the loss of the functions of the off-site and the emergency power supply. Currently, emergency power supply of NPP have been taken into account by Li-ion batteries instead of existing lead-acid batteries. In order to judge the applicability of the cylindrical Li-ion battery, it is necessary to analysis the results of various electrical tests. This paper investigates the basic electrical characteristics test of three types of cylindrical batteries in order to select the most suitable battery and estimate state of battery through equivalent circuit model and propose method to solve the problem.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.5
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• pp.709-718
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• 2021

As regulations on environmental pollution of ships have been strengthened, interest in smart ships such as electric propulsion ships equipped with hybrid power systems is increasing. Since batteries used in electric propulsion ships have a larger capacity than batteries used in vehicles, the price is high and maintenance is considered important. The ship's battery is manufactured as an integral type and is managed by the battery management system, and the maintenance and repair of the battery is performed through the replacement of the battery. we design and implement a battery module and a control algorithm using pre-cell for easy battery management. In addition, a controller is designed to transmit the data necessary for the electric propulsion ship power system control to the power control system. When a battery to which the corresponding spare-cell is applied is used, the stability of the ship and the battery system is increased, and it can have an advantage in terms of maintenance and repair.

• 한국신재생에너지학회:학술대회논문집
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• 2010.11a
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• pp.96.2-96.2
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• 2010

EV(Electric Vehicle) 차량에서 BMS(Battery Management System) 은 모터에 공급되는 고전압 배터리의 충전상태를 감지하여 VCU(Vehicle Control Unit)에 전송하게 된다. VCU에서는 배터리의 충전상태를 확인하여 모터 구동 전략을 수립하여 각 제어기에 전송하게 된다. 위와 같이 EV에서 배터리 충전상태를 정확하게 감지하지 못한다면, 모터 구동을 위한 전략 수립에 많은 제약이 따르게 된다. 정확한 배터리 충전 상태를 감지하기 위해서는 배터리 각 셀의 전압/전류/온도 등을 측정하여 연산에 의해 결정된다. 그 중 셀 전압 측정 방식은 Photomos relay를 이용한 방식으로 하드웨어적인 오차에 ${\pm}$수십mV보다 더둑 더 정밀하게 측정할 수 있는 방법이 없었다. 하지만, 셀 전압 측정 정밀도를 향상시키기 위해 신규로 개발된 battery monitoring IC를 이용한 BMS의 H/W 개발에 대해 설명할 것이다. 또한, Monitoring IC를 이용한 BMS의 셀 전압 측정 정밀도를 얼마나 개선시킬 수 있는지에 대해 연구하였다.

• Proceedings of the KIPE Conference
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• 2018.11a
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• pp.133-134
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• 2018

배터리의 효율적인 사용을 위해 배터리 관리 시스템(BMS)는 중요하다. 그 중 배터리의 잔존 수명을 나타내는 지표인 SOH(State of Health)를 예측하기 위해 본 논문에서는 18650 리튬이온 셀에 전기적 노화 실험(Cycle Life Test)을 적용하였다. 방전 용량 및 저항 변화에 의한 SOH 변화를 인공 신경망(Artificial Neural Network)을 사용하여 예측하도록 설계하고 이에 대한 검증을 수행하였다.