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Modeling of Capacity, Resistance, and Expansion of Lithium-Ion Batteries as They Degrade: Linking Expansion and Degradation
Modeling of Capacity, Resistance, and Expansion of Lithium-Ion Batteries as They Degrade: Linking Expansion and Degradation
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103643
- ISBN
- 9798314874271
- DDC
- 621
- 저자명
- Pannala, Sravan.
- 서명/저자
- Modeling of Capacity, Resistance, and Expansion of Lithium-Ion Batteries as They Degrade: Linking Expansion and Degradation
- 발행사항
- [Sl] : University of Michigan, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 157 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
- 주기사항
- Advisor: Siegel, Jason;Stefanopoulou, Anna.
- 학위논문주기
- Thesis (Ph.D.)--University of Michigan, 2025.
- 초록/해제
- 요약Battery degradation leads to changes in battery dimensions. Reversible dimensional changes (expansion) due to lithium intercalation in the graphite take place during charging and reverse during discharging. The magnitude of the reversible expansion reduces as the batteries age and their capacity decreases over their lifetimes. Irreversible dimensional changes (irreversible expansion) are observed as an overall increase in battery thickness as the battery ages. Although there is a general understanding that these dimensional changes are functions of degradation mechanisms that affect the electrode thickness, such as solid-electrolyte interface (SEI), Li-plating, and stress-induced particle fracture, this thesis directly connects and parameterizes lifetime degradation mechanisms with expansion in multi-layer pouch cells. The resulting physics-based model predicts the reversible and irreversible expansion under various laboratory cycling conditions for which the model has not been trained. The thesis contributions span novel and low-cost measuring techniques, advances in reduced-order modeling of lifetime degradation, and methodologies for parameterizing these models. The predictive model has advanced state of electrode lithiation (SOL) estimation and electrode state-of-health (eSOH) estimation techniques that rely on interpreting the dimensional changes and attributing various patterns to plating or SEI that are indistinguishable from capacity loss or resistance growth. Finally, the effects of externally applied pressure on capacity loss, resistance growth, and irreversible expansion are studied and modeled. The aging data shows us that the dominant degradation mechanism of negative electrode mechanical damage is pressure-dependent, and tuning it to match negative electrode loss of active material (LAM) at various pressures captures the influence of externally applied pressure on the lifetime capacity loss, resistance growth, and irreversible expansion. This work advances battery pack design, including the casing and padding design, the externally applied pressure on the cells, and the state of health estimation.
- 일반주제명
- Mechanical engineering
- 일반주제명
- Energy
- 키워드
- Diagnostics
- 기타저자
- University of Michigan Mechanical Engineering
- 기본자료저록
- Dissertations Abstracts International. 86-11B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520260202103643
■006m o d
■007cr#unu||||||||
■020 ▼a9798314874271
■035 ▼a(MiAaPQ)AAI32092565
■035 ▼a(MiAaPQ)umichrackham006155
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621
■1001 ▼aPannala, Sravan.
■24510▼aModeling of Capacity, Resistance, and Expansion of Lithium-Ion Batteries as They Degrade: Linking Expansion and Degradation
■260 ▼a[Sl]▼bUniversity of Michigan▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a157 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-11, Section: B.
■500 ▼aAdvisor: Siegel, Jason;Stefanopoulou, Anna.
■5021 ▼aThesis (Ph.D.)--University of Michigan, 2025.
■520 ▼aBattery degradation leads to changes in battery dimensions. Reversible dimensional changes (expansion) due to lithium intercalation in the graphite take place during charging and reverse during discharging. The magnitude of the reversible expansion reduces as the batteries age and their capacity decreases over their lifetimes. Irreversible dimensional changes (irreversible expansion) are observed as an overall increase in battery thickness as the battery ages. Although there is a general understanding that these dimensional changes are functions of degradation mechanisms that affect the electrode thickness, such as solid-electrolyte interface (SEI), Li-plating, and stress-induced particle fracture, this thesis directly connects and parameterizes lifetime degradation mechanisms with expansion in multi-layer pouch cells. The resulting physics-based model predicts the reversible and irreversible expansion under various laboratory cycling conditions for which the model has not been trained. The thesis contributions span novel and low-cost measuring techniques, advances in reduced-order modeling of lifetime degradation, and methodologies for parameterizing these models. The predictive model has advanced state of electrode lithiation (SOL) estimation and electrode state-of-health (eSOH) estimation techniques that rely on interpreting the dimensional changes and attributing various patterns to plating or SEI that are indistinguishable from capacity loss or resistance growth. Finally, the effects of externally applied pressure on capacity loss, resistance growth, and irreversible expansion are studied and modeled. The aging data shows us that the dominant degradation mechanism of negative electrode mechanical damage is pressure-dependent, and tuning it to match negative electrode loss of active material (LAM) at various pressures captures the influence of externally applied pressure on the lifetime capacity loss, resistance growth, and irreversible expansion. This work advances battery pack design, including the casing and padding design, the externally applied pressure on the cells, and the state of health estimation.
■590 ▼aSchool code: 0127.
■650 4▼aMechanical engineering
■650 4▼aEnergy
■653 ▼aLithium-ion batteries
■653 ▼aBattery degradation modeling
■653 ▼aBattery lifetime prediction
■653 ▼aBattery expansion sensing
■653 ▼aModel parameterization
■653 ▼aDiagnostics
■690 ▼a0548
■690 ▼a0791
■71020▼aUniversity of Michigan▼bMechanical Engineering.
■7730 ▼tDissertations Abstracts International▼g86-11B.
■790 ▼a0127
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17358092▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
