전기 에너지 저장 장치들의 성능 특성 모델링

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dc.contributor.advisor신치범-
dc.contributor.author이정빈-
dc.date.accessioned2018-11-08T08:09:45Z-
dc.date.available2018-11-08T08:09:45Z-
dc.date.issued2015-08-
dc.identifier.other20757-
dc.identifier.urihttps://dspace.ajou.ac.kr/handle/2018.oak/10975-
dc.description학위논문(박사)--아주대학교 일반대학원 :에너지시스템학과,2015. 8-
dc.description.tableofcontentsChapter 1. Introduction 1 1.1 Background and motivation 1 1.2 Lithium Ion Batteries 2 1.3 Absorbent Glass Mat (AGM) Batteries 4 1.4 Ultracapacitors 6 1.5 Dissertation Outline 7 Chapter 2. Modeling the Effects of the Cathode Composition of a Lithium Iron Phosphate Battery on the Discharge Behavior 10 2.1 Introduction 10 2.2 Mathematical Model 12 2.2.1 Electrode Synthesis 12 2.3 Experimental Section 20 2.4 Results and Discussion 23 2.5 Conclusions 34 Chapter 3. Mathematical Model of the Cycle Life of an AGM Battery 36 3.1 Introduction 36 3.2 Mathematical Model 40 3.2.1 Chemical Reactions for the AGM Battery 40 3.2.2 Deterioration Factors of the AGM Battery 40 3.2.3 Aging Mechanisms of the AGM Battery 44 3.2.3.1 Corrosion at Cathode 44 3.2.3.2 Degradation of Active Materials 44 3.2.4 ChargeDischarge Behavior Governing Equations for the AGM Battery 45 3.2.5 Governing Equations of ageing model for the AGM Battery 52 3.3 Results and Discussion 55 3.3.1 The AGM Battery ChargeDischarge Modeling 55 3.3.2 Experimental section 60 3.3.3 Results of SOH and SOF Modeling for the AGM Battery 63 3.4 Conclusions 70 Chapter 4. Modeling of the Electrical and Thermal Behaviors of an Ultracapacitor 72 4.1 Introduction 72 4.2 Mathematical Model 76 4.3 Results and discussion 93 4.4 Conclusions 106 Chapter 5. Conclusions 107 Bibliography 110 국문요약 119 Appendix. Nomenclature 122-
dc.language.isoeng-
dc.publisherThe Graduate School, Ajou University-
dc.rights아주대학교 논문은 저작권에 의해 보호받습니다.-
dc.title전기 에너지 저장 장치들의 성능 특성 모델링-
dc.title.alternativeModeling of the performance characteristics of electrical energy storage devices-
dc.typeThesis-
dc.contributor.affiliation아주대학교 일반대학원-
dc.contributor.department일반대학원 에너지시스템학과-
dc.date.awarded2015. 8-
dc.description.degreeDoctoral-
dc.identifier.localId705730-
dc.identifier.urlhttp://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000020757-
dc.subject.keywordLithium ion battery-
dc.subject.keywordAGM battery-
dc.subject.keywordUltracapcitor-
dc.subject.keywordmodeling-
dc.description.alternativeAbstractAmong various energies, electric energy is one that we cannot live without for a moment in this automated and computerized society. There are electric energy devices to allow people to store and use electric energy as needed. It is important to understand characteristics of electric energy devices for efficiently using these devices. This thesis is performed to predict characteristics of electric energy devices as a lithium ion battery, an absorbent glass mat (AGM) battery and an ultracapacitor. Chapter 1 described the fundamentals and application field for a lithium ion battery, an AGM battery and an ultracapacitor as typical electrical energy storage device. In chapter 2, this thesis reported a modeling methodology to predict the effects on the discharge behavior of the cathode composition of a lithium iron phosphate (LFP) battery cell comprising a LFP cathode, a lithium metal anode, and an organic electrolyte. A one-dimensional model based on a finite element method is presented to calculate the cell voltage change of a LFP battery cell during galvanostatic discharge. To test the validity of the modeling approach, the modeling results for the variations of the cell voltage of the LFP battery as a function of time are compared with the experimental measurements during galvanostatic discharge at various discharge rates of 0.1C, 0.5C, 1.0C, and 2.0C for three different compositions of the LFP cathode. The discharge curves obtained from the model are in good agreement with the experimental measurements. On the basis of the validated modeling approach, the effects of the cathode composition on the discharge behavior of a LFP battery cell are estimated. In chapter 3, for optimal design and operation of vehicle electrical systems, we conducted modeling to predict the AGM battery cycle life and performance. The AGM battery model was formulated considering various phenomena occurring inside an AGM battery, including electrochemical reaction, transfer of ions, and porosity of electrode. In addition, to predict AGM battery cycle life, we considered the additional factors of corrosion of electrode plate and loss of active materials as a function of charge?discharge cycles. Using electrochemical modeling of the AGM battery, we incorporated nonlinearity of AGM battery aging, which was impossible with electrical equivalent circuit modeling. The model was validated by comparison of results of the modeling and actual experimental data. Using the development modeling, SOH and SOF were calculated. In chapter 4, this thesis reported a modeling methodology to predict the electrical and thermal behaviors of a 2.7 V/650 F ultracapacitor (UC) cell from LS Mtron Ltd. (Anyang, Korea). The UC cell is subject to the charge/discharge cycling with constant-current between 1.35 V and 2.7 V. The charge/discharge current values examined are 50, 100, 150, and 200 A. A three resistor-capacitor (RC) parallel branch model is employed to calculate the electrical behavior of the UC. The modeling results for the variations of the UC cell voltage as a function of time for various charge/discharge currents are in good agreement with the experimental measurements. A three-dimensional thermal model is presented to predict the thermal behavior of the UC. Both of the irreversible and reversible heat generations inside the UC cell are considered. The validation of the three-dimensional thermal model is provided through the comparison of the modeling results with the experimental infrared (IR) image at various charge/discharge currents. A zero-dimensional thermal model is proposed to reduce the significant computational burden required for the three-dimensional thermal model.-
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Graduate School of Ajou University > Department of Energy Systems > 4. Theses(Ph.D)
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