• Journal of applied mathematics & informatics
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• 제39권5_6호
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• pp.805-811
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• 2021

Currently, batteries use commonly as energy sources for mobile electric devices. Due to the high density of energy, the energy storage state of a battery is very important information. To know the battery's energy storage state, it is necessary to find out the open state voltage of the battery. The open state voltage calculates with a mathematical model, but the computation of the real time state is complicated and requires many calculations. Therefore, the state observer designs to estimate in real time the battery open-circuit voltage as disturbance including model error. Using the estimated open voltage and applying it to the state estimation algorithm, we can estimate the charge. In this study, we first estimate the open-circuit voltage and design an estimation algorithm for estimating the state of battery charge. This includes errors in the system model and has a robust characteristic to noise. It is possible to increase the precision of the charge state estimation.

• Journal of applied mathematics & informatics
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• 제39권5_6호
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• pp.851-858
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• 2021

In general, secondary batteries are widely used as an electric energy source. Among them, the state of energy storage of mobile devices is very important information. As a method of estimating a state, there is a method of estimating the state by integrating the current according to an energy storage state of a battery, and a method of designing a state estimator by measuring a voltage and estimating a charge amount based on a battery model. In this study, we designed the state estimator using an extended Kalman filter to increase the precision of the state estimation of the charge amount by including the error of the system model and having the robustness to the noise.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2005년도 추계학술대회 논문집 Vol.18
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• pp.350-351
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• 2005

The electrochemical behavior of Si-C material synthesized by heating the mixture of silicon and polyvinylidene fluoride (PVDF). Coin cells of the type 2025 were made using the synthesized material and the electrochemical studies were performed. Si-C/Li cells were made by using the developed Si-C material. Charge/discharge test was performed at 0.1C hour rate. Initial charge and discharge capacities at Si-C material derived from 20 wt.% of PVDF was found to be 1,830 and 526 mAh/g respectively. Initial charge/discharge characteristics of the electrode were analyzed. The level of reversible specific capacity was about 216 mAh/g at Si-C material derived from 20 wt.% of PVDF, IIE, intercalation efficiency at initial charge/discharge, was 68 %. Surface irreversible specific capacity was 31 mAh/g, and average specific resistance was 2.6 ohm*g.

• 조명전기설비학회논문지
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• 제28권12호
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• pp.74-83
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• 2014

This paper proposes a study on the configuration of balancing of plant(BOP) and implementation of battery management system(BMS) functions for vanadium redox flow battery(VRFB) and propose a method consists of sensor and required design specifications BOP system configuration. And it proposes an method of the functions implementation and control algorithm of the BMS for flow battery. Functions of BMS include temperature control, the charge and discharge control, flow control, level control, state of charge(SOC) estimation and a battery protection through the sensor signal of BOP. Functions of BMS is implemented by the sensor signal, so it is recognized as a very important factor measurement accuracy of the data. Therefore, measuring a mechanical signal(flow rate, temperature, level) through the BOP test model, and the measuring an electrical signal(cell voltage, stack voltage and stack current) through the VRFB charge-discharge system and analyzes the precision of data in this paper. Also it shows a good charge-discharge test results by the SOC estimation algorithm of VRFB. Proposed BOP configuration and BMS functions implementation can be used as a reference indicator for VRFB system design.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2018년도 추계학술대회
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• pp.36-38
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• 2018

As the battery capacity requirement increases, battery cells are connected in a parallel configuration. However, the sharing current of each battery cell becomes unequal due to the imbalance between cell's impedance which results the mismatched states of charge (SOC). The conventional fixed-resistance balancing methods have a limitation in battery equalization performance and system efficiency. This paper proposes a battery equalization method based on dynamic resistance technique, which can improve equalization performance and reduce the loss dissipation. Based on the SOC rate of parallel connected battery cells, the switches in the equalization circuit are controlled to change the equivalent series impedance of the parallel branch, which regulates the current flow to maximize SOC utilization. To verify the method, operations of 4 parallel-connected 18650 Li-ion battery cells with 3.7V-2.6Ah individually are simulated on Matlab/Simulink. The results show that the SOCs are balanced within 1% difference with less power dissipation over the conventional method.

• KIEE International Transactions on Electrophysics and Applications
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• 제4C권1호
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• pp.21-25
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• 2004

From the gradual increasing state of charge (GISOC) observations, electrochemical behavior of multi-walled carbon nanotube│(lM LiP $F_{6}$ , EC,DEC,DME 3:5:5 volume ratio)│lithium cells was evaluated using the galvanostatic charge-discharge process. A MWCNT delivers a specific charge capacity of 1,300 mAh/g in a Li cell when cycled up to an end voltage of 0 V (vs. Li/L $i^{＋}$ )at a constant current rate every 10 hours. However, in the present study, the specific discharge capacity obtained is 338 mAh/g, thus amounting to a coulombic efficiency of only 26％. Further, when the MWCNT│Li cells were tested using the GISOC method, two distinguishable linear-fit ranges were observed due to the intercalation/deintercalation of lithium, which were found to have II $E_1$, IIC $s_1$ and II $E_2$of 27.3％, 372 mAh/g, and 25.5％, respectively. Q $c_1$, could be calculated from the data of IIE and IICs of each range by the modified equation "II $C_{sum}$= $\Sigma$( $Q_{C}$- $Q_{D}$)=(II $E_{1}$$^{-1}$ ) $Q_{Dl}$ ＋(II $E_2$$^{-1}$ -1) ( $Q_{D2}$- $Q_{Dl}$ ) ＋ IIC $s_1$= $Q_{Cl}$ - $Q_{Dl}$ ". Results of the GISOC method could be converted to the results of galvanostatic charge-discharge process, irrespective of the state of charge of the cell or battery.ery.y.y.

• 전자공학회논문지
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• 제54권4호
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• pp.99-107
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• 2017

본 논문은 기존의 리튬 배터리(lithium battery) 등가모델의 정확도 개선을 위한 배터리 모델 계수 보정기법을 제안한다. 전기자동차 등 다양한 산업분야에 사용되는 리튬 배터리의 배터리 셀간 잔존용량(SOC, state of charge) 동일하게 유지하여 배터리 수명의 단축을 최소화하기 위해 BMS(battery management system)가 연구 개발 되었지만, 배터리 셀 전압 기반의 셀 밸런싱(cell balancing) 동작으로 내부저항 및 커패시터에 따른 SOC 변화를 따라가지 못한다. 배터리 내부저항 및 커패시터에 따른 배터리 SOC 추정을 위해 다양한 배터리 등가모델이 연구되었지만, 모든 배터리에 동일하게 적용하는 것은 한계가 있으며 특히 과도상태의 배터리 상태 추정이 어렵다. 기존의 배터리 전기적 등가모델 연구는 1종의 배터리를 대상으로 5~10% 오차율로 충 방전 동적특성을 모사하며 서로 다른 전기적 특성을 갖는 실제 배터리에 적용이 부적합하다. 따라서 본 논문에서는 모델 및 용량이 다른 실제 배터리 운용환경에 적합하며 오차율 5%이하의 동적특성 모사가 가능한 배터리 모델 계수 보정 알고리즘을 제안한다. 제안하는 배터리 모델 계수 보정법 검증을 위해 3.7 V 정격전압, 280 mAh, 1600 mAh 용량의 리튬 배터리를 사용하였으며, 리튬 배터리의 전기적 등가 모델로 2단 RC Tank 모델을 사용하였다. 또한 0.25C, 0.5C, 0.75C, 1C 4가지 C-rate를 사용하여 배터리 충 방전 실험 및 모델검증을 진행하였으며 제안하는 배터리 모델 계수 보정 알고리즘을 통해 구현한 두 종류의 배터리 모델의 배터리 충 방전 특성 및 과도상태 특성의 오차율은 최대 2.13%이다.

• 한국고분자학회:학술대회논문집
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• 한국고분자학회 2006년도 IUPAC International Symposium on Advanced Polymers for Emerging Technologies
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• pp.62-62
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• 2006

Based on the redox couples of a nitroxide radical, organic radical polymers were utilized as the electrode-active or charge-storage component for a secondary battery. We call a battery composed of the radical polymer electrode as "organic radical battery". Organic radical battery has several advantages: high capacity, high power-rate performance, long cycle ability, and environmentally-benign features. Synthesis and electrochemical studies of nitroxide polymers are described. Battery fabrication and cell performance are also reported.

• 스마트미디어저널
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• 제9권1호
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• pp.84-91
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• 2020

신재생 에너지를 활용이 높아지면서 에너지저장시스템의 활용과 효율성에 대한 관심이 높아지고 있다. 특히 태양광 에너지저장시스템을 구성하는 서브시스템에서 이상 징후 발생에 능동적으로 대처할 수 있는 운영이 요구된다. 본 논문은 태양광 발전량 데이터를 표본으로 하여 예측 발전량을 추정하여 에너지 관리하는 방안을 제안한다. 실시간으로 예측된 배터리 충전 전력과 배터리 랙 총 충전 전력을 비교하여 충전 전력을 조절하는 모형을 적용한다. 그 결과로 배터리의 발열 억제 및 충방전율을 유지시켜 에너지저장시스템의 에너지 저장을 안정적으로 높일 수 있다.

• 전기전자학회논문지
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• 제24권1호
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• pp.333-338
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• 2020

본 논문은 역전파 뉴럴 네트워크(Back Propagation Neural Network; BPNN) 알고리즘을 이용한 배터리 셀의 잔존용량(State Of Charge; SOC) 추정 방법을 제안한다. 이를 위해 배터리 성능평가 시뮬레이터를 구현하고 다양한 온도에서의 충방전 실험을 통해 뉴럴 네트워크 학습에 필요한 입출력 데이터를 도출한다. 최종적으로 배터리의 SOC 추정 성능은 Matlab/Simulink 프로그램을 이용하여 Ah-counting에 의한 실험치와 비교를 통해 분석하고 오차율을 3% 미만으로 줄일 수 있음을 시뮬레이션을 통해 확인한다.