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Graduate School of Ajou University
Department of Artificial Intelligence Convergence Network
3. Theses(Master)
A Generic Model-Based Evaluation Framework for Battery Cell Balancing Techniques
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 이정원 | - |
| dc.contributor.author | 장성익 | - |
| dc.date.accessioned | 2022-11-29T03:01:11Z | - |
| dc.date.available | 2022-11-29T03:01:11Z | - |
| dc.date.issued | 2022-08 | - |
| dc.identifier.other | 32096 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/20839 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :AI융합네트워크학과,2022. 8 | - |
| dc.description.tableofcontents | Chapter I Introduction 1 Chapter II Review Of Existing Cell Balancing Techniques 5 II.A Passive Cell Balancing Techniques 5 II.B Adjacent Active Cell Balancing Techniques 6 II.C Non-Adjacent Active Cell Balancing Techniques 7 Chapter III Proposed Framework 12 III.A Overall Structure 12 III.B Modeling Examples 16 Chapter IV Experimental Results 21 IV.A The Peak Current and Simulation Granularity 21 IV.B Comparative Evaluations 24 IV.C Dynamic Peak Current 26 Chapter V Conclusion 28 Reference 29 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | A Generic Model-Based Evaluation Framework for Battery Cell Balancing Techniques | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.alternativeName | Seongik Jang | - |
| dc.contributor.department | 일반대학원 AI융합네트워크학과 | - |
| dc.date.awarded | 2022. 8 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 1254202 | - |
| dc.identifier.uci | I804:41038-000000032096 | - |
| dc.identifier.url | https://dcoll.ajou.ac.kr/dcollection/common/orgView/000000032096 | - |
| dc.subject.keyword | 배터리 | - |
| dc.subject.keyword | 셀 밸런싱 | - |
| dc.subject.keyword | 평가 시뮬레이션 | - |
| dc.subject.keyword | 프레임워크 | - |
| dc.description.alternativeAbstract | In this thesis, I propose a generic modeling and simulation framework for lithium-ion cell balancing techniques. While cell balancing techniques considerably differ from each other in terms of size, complexity, and cost, no generic framework that can evaluate them quantitatively in comparison is available. The existing techniques have been evaluated based on their own in-house simulators or mathematical models since the cell balancing architecture and strategy tend to be tightly associated with each other. On the contrary, in this thesis, they are independently specified on a model-based discrete event simulator. The time granularity is determined at each cycle so that the time granularity of the discrete event simulation can be adaptively changed during the simulation. The key enabler of the proposed framework is a separate modeling of architecture and strategy of the cell balancing techniques. Thus, a number of variant combinations of different cell balancing architectures and strategies can be evaluated in comparison. The effectiveness of the proposed framework is verified in terms of simulation accuracy and efficiency with multiple existing cell balancing techniques. Moreover, the effects of design parameters, e.g., period of control signal or resistance values, can be quantitatively evaluated in terms of energy efficiency and balancing time. | - |
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