• Title/Summary/Keyword: SOC

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Myxococcus xanthus socD500 mutation causes Sporulation and Induction of two C-signal Specific Genes (Myxococcus xanthus socD500에 의한 포자 형성 및 CsgA신호에 특이적 유전자의 발현에 관한 연구)

  • 이병욱
    • Journal of Life Science
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    • v.13 no.2
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    • pp.184-190
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    • 2003
  • Myxococcus xanthus is a Gram negative, rod-shaped, soil bacterium that displays a social behaviors, and multicellular development upon nutrient deprivation. The csgA gene encoding a cell surface protein is essential for developmental behaviors including rippling, aggregation, fruiting body formation and sporulation. csgA mutants show normal vegetative growth, but lack all these developmental phenotypes. Expression of the CsgA (C-signal) specific genes are eliminated or dramatically reduced in csgA mutants. In order to identify components of C-signal transduction pathway, second site mutations were introduced into csgA mutants and were identified which can fully or partially restore development of csgA mutants (Rhie, H. G. et. al. 1989. J. Bacteriol. 171, 3268-3276). One of such csgA suppressor mutations, socD500 restores only sporulation to csgA mutants at 15$^{\circ}C$. The socD500 mutaion however eliminates the three basic developmental requirements, starvation, high cell density and a solid surface. Only sporulation, not accompanied with fruiting body formation is induced simply by shifting the temperature of vegetatively growing cells from $32^{\circ}C$ to $15^{\circ}C$. Spores induced by socD500 mutation is not as thick as that of wild-type fruiting body. In socD500 genetic background, two of ten C-signal dependent genes, $\Omega$DK4506 and $\Omega$DK4406 are more highly expressed in growing cells at $15^{\circ}C$. These results indicate that the socD500 mutation may be partly involved in the regulation of expression of two C-signal dependent genes and genes for sporulation in this transduction pathway.

Compative analysis of electrical characteristics of the high-capacity and high c-rate Lithium-ion cell ECMs according to the discharge current size and SOC range (방전전류크기 및 SOC 구간별 고용량 및 고방전 리튬-이온 셀 ECMs의 전기적 특성 비교)

  • Lee, Hyun-jun;Park, Joung-hu;Kim, Jonghoon
    • Proceedings of the KIPE Conference
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    • 2016.07a
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    • pp.341-342
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    • 2016
  • 본 논문에서는 고용량 및 고방전 리튬-이온($LiCoO_2$)원통형 (cylindrical)셀의 방전전류크기 및 SOC 구간에 따른 등가회로 파라미터의 특성을 비교 분석해보고 SOC 추정시 모델링 및 알고리즘 차별화의 필요성을 제시하고자 한다.

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Lead-acid battery management system in UPS (UPS의 납축전지 관리 시스템)

  • 임영철;변성천;김의선;장영학
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 1998.11a
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    • pp.177-180
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    • 1998
  • To manage lead-acid battery efficiently and to use it longer in UPS, the state of charge(SOC) indicator of the battery is needed. So a new approach to developing battery SOC indicator for UPS is discussed in this paper. This method to determining SOC by combining the available data of discharge characteristics of a battery with neural networks(NN) is presented. The 3-layered NN with back propagation algorithm has been used. Exprement results show that the proposed method is appropriate as SOC indicator of the battery.

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Analysis and Review of MIL Test Parameters for Improvement of SOC algorithm (SOC 알고리즘 개선을 위한 MIL Test Parameter 오차 분석 및 고찰)

  • Dongil Kang;Byoungkuk Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2024.05a
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    • pp.457-458
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    • 2024
  • 배터리의 상태 추정 알고리즘은 전기차의 성능과 안정성 관련 핵심 기술이다. SOC(state of charge) 알고리즘은 배터리의 충전 상태를 추정하는 역할을 한다. 본 논문에서는 SOC 알고리즘의 MIL(Modeling in the Loop) Test 과정에서 사용되는 파라미터의 오차와 영향에 대한 고찰을 제시한다.

Methods to Apply GoF Design Patterns in Service-Oriented Computing (서비스 지향 컴퓨팅을 위한 GoF 디자인 패턴 적용 기법)

  • Kim, Moon-Kwon;La, Hyun-Jung;Kim, Soo-Dong
    • The KIPS Transactions:PartD
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    • v.19D no.2
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    • pp.187-202
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    • 2012
  • As a representative reuse paradigm, the theme of service-oriented Paradigm (SOC) is largely centered on publishing and subscribing reusable services. Here, SOC is the term including service oriented architecture and cloud computing. Service providers can produce high profits with reusable services, and service consumers can develop their applications with less time and effort by reusing the services. Design Patterns (DP) is a set of reusable methods to resolve commonly occurring design problems and to provide design structures to deal with the problems by following open/close princples. However, since DPs are mainly proposed for building object-oriented systems and there are distinguishable differences between object-oriented paradigm and SOC, it is challenging to apply the DPs to SOC design problems. Hence, DPs need to be customized by considering the two aspects; for service providers to design services which are highly reusable and reflect their unique characteristics and for service consumers to develop their target applications by reusing and customizing services as soon as possible. Therefore, we propose a set of DPs that are customized to SOC. With the proposed DPs, we believe that service provider can effectively develop highly reusable services, and service consumers can efficiently adapt services for their applications.

A State-of-Charge estimation using extended Kalman filter for battery of electric vehicle (확장칼만필터를 이용한 전기자동차용 배터리 SOC 추정)

  • Ryu, Kyung-Sang;Kim, Byungki;Kim, Dae-Jin;Jang, Moon-seok;Ko, Hee-sang;Kim, Ho-Chan
    • 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.