• 제목/요약/키워드: SOC(State of Charge)

검색결과 231건 처리시간 0.024초

A Study of Technology for the Accurate Measurement of the Remaining Energy in Secondary Cells

  • Kim, Seung-Woo
    • 조명전기설비학회논문지
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    • 제21권4호
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    • pp.28-35
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    • 2007
  • In this paper, a study was made of the technology used to measure the remaining amount of energy in secondary cells, for which demand is ever increasing. First, the standard data were stored for measurement of the remaining energy and a compare/analysis algorithm was developed. Next, hardware was designed and a prototype that can display the SOC(State Of Charge) through an LCD displayinstrument was created. The small size of the prototype allows it to be portable and its performance is within ${\pm}4$[%].

수소충전소의 연료 계량 방법에 따른 계량 오차가 발생하는 원인 고찰 (The Study to Find Causes for Measuring Differences of Hydrogen Fillings in Hydrogen Refueling Station)

  • 이택홍;강병우;이은웅;정진배;홍석진
    • 한국수소및신에너지학회논문집
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    • 제29권1호
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    • pp.32-40
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    • 2018
  • There has been an measuring errors between state of charge (SOC; kg) value and mass flow meter (MFM) value in dispenser for hydrogen refueling station. Finally, we observed average 15.5% weight difference between these two values and the MFM readings show a 15.5% higher readout of the SOC readings. Each car was charged with average 2.66 kg of hydrogen fuel during this period. In the initial charging of the day shows less measuring value than the final charging with the maximum 0.038 kg times number of filling. There is no effects of atmosphere temperature change for the hydrogen filled weight during one full year such as January's cold winters and August's hot summers.

A Study on Optimal Operation Strategy for Mild Hybrid Electric Vehicle Based on Hybrid Energy Storage System

  • Bae, SunHo;Park, Jung-Wook
    • 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.

배터리관리시스템(BMS)을 이용한 배터리 잔존수명(SOH) 추정 알고리즘에 관한 연구 (A Study on the Algorithm of Battery SOH Estimation for Battery Management System(BMS))

  • 서철식;문종현;박재욱;김금수;김동희
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2008년도 춘계학술대회 논문집
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    • pp.317-320
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    • 2008
  • This paper presents the battery management system(BMS) for the optimum conditions of the lead-Acid battery in UPS. The proposed system controls the over and under currents of battery for protecting and it was applied algorithm for optimum conditions to estimate the State Of Charge(SOC) and State Of Health(SOH) in charge or discharge mode. It approved the performance and the algorithm for the estimation of SOH, through the experiments which using the charge and discharge tester and the field tests.

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직류배전 시스템의 다중 에너지 저장장치 시스템을 위한 적응 드룹 제어 (Adaptive Droop Control Method for Multiple Energy Storage Systems in DC Distribution System)

  • 김혜진;전창윤;서갑수;이경준;조보형
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2014년도 전력전자학술대회 논문집
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    • pp.257-258
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    • 2014
  • 본 논문에서는 직류 마이크로그리드 시스템에서의 분산 에너지 저장장치 시스템을 위한 제어 알고리즘을 제안한다. 각 에너지 저장장치의 전력 분배를 위해 state of charge (SOC)와 배터리 노화에 따른 용량 변화를 고려한 적응 드룹 제어 방식을 제안한다. 각 에너지 저장장치의 SOC에 따라 오프셋 전압을 변화시킴으로써 각 에너지 저장장치 간의 SOC 밸런싱을 유지한다. 또한, 에너지 저장장치의 용량 변화에 따라 드룹 기울기 변수를 변화시켜, 노화에 따른 전력 분배를 유지하도록 한다. 48V 직류배전 시스템의 시뮬레이션을 통해 제안된 제어방법을 검증한다.

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하이브리드 연료전지 자동차의 CAN기반 실시간 시뮬레이터 구현 (Implementation of a CAN Based Real-Time Simulator for FCHEV)

  • 심성용;이남수;안현식;김도현
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.410-413
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    • 2004
  • In this paper, a simulator system for Fuel Cell Hybrid Electric Vehicles(FCHEV) is implemented using DSP boards with CAN bus. The subsystems of a FCHEV i.e., the fuel cell system, the battery system, the vehicle dynamics with the transmission mechanism are coded into 3 DSP boards. The power distribution control algorithm and battery SOC control are also coded into a DSP board. The real-time monitoring program is also developed to examine the control performance of power control and SOC control algorithms.

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C-rate, 온도, SOC를 고려한 NiMH 배터리 모델링 및 실험 (NiMH battery Modeling and Test considering C-rate, Temperature and SOC)

  • 공세일;김대식;차한주
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2012년도 전력전자학술대회 논문집
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    • pp.413-414
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    • 2012
  • 본 논문에서는 C-rate, 온도, SOC (State-of-Charge, 잔존용량)를 고려하여 NiMH 배터리를 모델링하였고, 시뮬레이션 결과를 배터리 실험 결과와 비교하였다. 제안한 배터리 모델은 1차 테브난 등가회로를 기반으로 구성하였으며 Matlab/Simulink 환경에서 구현하였다. 모델을 구현하기 위한 실험으로는 정전류, 펄스전류 실험을 하여 가변온도와 다양한 C-rate에서 변하는 파라미터를 도출하였고, 도출한 파라미터는 룩업 테이블을 이용하여 배터리 모델에 적용하였다. 제안된 배터리 모델을 짧은 시간동안 불규칙하게 변하는 전류 패턴에 대한 시뮬레이션과 실험 파형을 통하여 배터리 모델의 성능을 검증하였다.

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DYNAMIC SIMULATION MODEL OF A HYBRID POWERTRAIN AND CONTROLLER USING CO-SIMULATION-PART II: CONTROL STRATEGY

  • Cho, B.;Vaughan, N.D.
    • International Journal of Automotive Technology
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    • 제7권7호
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    • pp.785-793
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    • 2006
  • The topic of this study is the control strategy of a mild hybrid electric vehicle (HEV) equipped with a continuously variable transmission (CVT). A brief powertrain and vehicle configuration is introduced followed by the control strategy of the HEV with emphasis on two key parts. One of them is an ideal operating surface (IOS) that operates the CVT powertrain optimally from the viewpoint of the tank-to-wheel efficiency. The other is a charge sustaining energy management to maintain the battery state of charge (SOC) within an appropriate level. The fuel economy simulation results of the HEV over standard driving cycles were compared with those of the baseline vehicle. Depending on the driving cycle, 1.3-20% fuel saving potential is predicted by the mild hybridisation using an integrated starter alternator (ISA). The detailed energy flow analysis shows that the majority of the improvement comes from the idle stop function and the benefits for electrical accessories. Additionally, the differences between the initial and the final SOC are in the range $-1.0{\sim}+3.8%$ in the examined cycle.

이산 웨이블릿 변환(DWT)의 디노이징 최적 성능을 위한 다해상도 분석의 레벨 선택 연구 (Level Selection of the Multi-Resolution Analysis(MRA) for Optimum Denoising Performance of the Discrete Wavelet Transform(DWT))

  • 황주영;김종훈
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2015년도 전력전자학술대회 논문집
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    • pp.465-466
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    • 2015
  • 배터리 관리시스템(BMS;battery management system)의 중요 고려요소인 SOC(state-of-charge) 및 SOH(state-of-health)의 전기적 등가회로 모델 기반 고성능 추정의 전제 조건은 배터리 단자전압의 안정된 실험데이터 확보이다. 그러나, 예상치 않은 에러로 인해 배터리 단자전압에 노이즈 성분이 포함될 경우 SOC 및 SOH 추정알고리즘의 성능저하가 우려된다. 이를 위해, 본 논문은 이산 웨이블릿 변환(DWT;discrete wavelet transform)의 다해상도 분석(MRA;multi resolution analysis) 레벨에 따른 디노이징 최적 성능을 소개하고자 한다. 하드 임계화(hard-thresholding) 및 소프트 임계화(soft-thresholding) 기법에 따른 디노이징 성능 차이를 보이고, 각 임계화 기법 적용 시 디노이징 최적 성능을 보이는 레벨을 선택한다.

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확장칼만필터 알고리즘 기반 고용량 각형셀 SOC 추정 연구 (The SOC Estimation of Large-Capacity Prismatic Cell Based on Extended Kalman Filter)

  • 윤창오;이평연;김종훈;이성준;하미림;송현철
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2017년도 추계학술대회
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    • pp.137-138
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    • 2017
  • 본 논문에서는 각형 형태의 120Ah 고용량 배터리 ($LiNiMnCoO_2$; NMC)의 내부 파라미터 추출을 통해 배터리 관리 시스템(battery management system;BMS)에 중요한 팩터로 0.1C 및 0.25C 방전 조건에서 확장칼만필터(extended Kalman fileter;EKF) 기반으로 SOC(state-of-charge)를 추정하였다.

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