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Lithium Plating Detection, Quantification, and Modeling to Enable Lithium-Ion Battery Fast-Charging- [electronic resource]
Lithium Plating Detection, Quantification, and Modeling to Enable Lithium-Ion Battery Fast-Charging- [electronic resource]
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214101643
- ISBN
- 9798380367585
- DDC
- 660
- 서명/저자
- Lithium Plating Detection, Quantification, and Modeling to Enable Lithium-Ion Battery Fast-Charging - [electronic resource]
- 발행사항
- [S.l.]: : University of California, Berkeley., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(110 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
- 주기사항
- Advisor: McCloskey, Bryan D.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Berkeley, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약A key challenge for energy storage and conversion technologies is finding simple, reliable methods that can identify device failure and prolong lifetime. Lithium plating is a well-known degradation process that prevents Li-ion battery fast charging, which is essential to reduce electric vehicle 'range anxiety' and enable emerging technologies such as aerial drones and high-performance portable electronics. The ability to detect the initial onset of lithium plating from easily accessible voltage measurements would greatly improve battery safety and feedback controls modeling. In this work, we first highlight the application of a differential open-circuit voltage analysis (dOCV) to detect when Li plating begins during a single charge for room temperature fast charging. We also show that dOCV can identify the Li plating onset during cycling with sensitivity of 1 mg plated Li per gram graphite, equivalent to 1% of the graphite capacity, indicating that this method has commercial promise for on-line Li detection.Next, we demonstrate the power of simple, accessible, and high-throughput cycling techniques to quantify irreversible Li plating spanning data from over 200 cells. We first observe the effects of energy density, charge rate, temperature, and State-of-Charge (SOC) on lithium plating, use the results to refine mature physics-based electrochemical models, and provide an interpretable empirical equation for predicting the plating onset SOC. We then explore the reversibility of lithium plating and its connection to electrolyte design for preventing irreversible Li accumulation. Finally, we design a method to quantify in-situ Li plating for commercially relevant Graphite|LiNi0.5Mn0.3Co0.2O2 (NMC) cells and compare with results from the experimentally convenient Li|Graphite configuration. The hypotheses and abundant data in this section were generated primarily with equipment universal to the battery researcher, encouraging further development of innovative testing methods and data processing that enable rapid battery engineering.Finally, we consider the challenge of highly variable charging conditions possible in commercial cells. We combine pseudo-2D electrochemical modeling with data visualization methods to reveal important relationships between the measurable cell voltage and difficult-to-predict Li plating onset criteria. An extensively validated model is used to compute lithium plating for thousands of multistep charging conditions spanning diverse rates, temperatures, states-of-charge (SOC), and cell aging. We observe an empirical cell operating voltage limit below which plating does not occur across all conditions, and this limit varies with battery state-of-charge and aging. A model sensitivity analysis also indicates that when comparing two charging voltage profiles, the capacity difference at 4.0V correlates well with the difference in the plating onset capacity. These results encourage simple strategies for Li plating prevention that are complementary to existing battery controls.
- 일반주제명
- Chemical engineering.
- 일반주제명
- Energy.
- 일반주제명
- Sustainability.
- 키워드
- Li-ion battery
- 키워드
- Fast-charging
- 키워드
- Lithium plating
- 키워드
- Lithium-ion
- 기타저자
- University of California, Berkeley Chemical Engineering
- 기본자료저록
- Dissertations Abstracts International. 85-03B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008240612s2023 us |||||||||||||||c||eng d■001000016934695
■00520240214101643
■006m o d
■007cr#unu||||||||
■020 ▼a9798380367585
■035 ▼a(MiAaPQ)AAI30633020
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a660
■1001 ▼aKonz, Zachary Martin.
■24510▼aLithium Plating Detection, Quantification, and Modeling to Enable Lithium-Ion Battery Fast-Charging▼h[electronic resource]
■260 ▼a[S.l.]:▼bUniversity of California, Berkeley. ▼c2023
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2023
■300 ▼a1 online resource(110 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-03, Section: B.
■500 ▼aAdvisor: McCloskey, Bryan D.
■5021 ▼aThesis (Ph.D.)--University of California, Berkeley, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aA key challenge for energy storage and conversion technologies is finding simple, reliable methods that can identify device failure and prolong lifetime. Lithium plating is a well-known degradation process that prevents Li-ion battery fast charging, which is essential to reduce electric vehicle 'range anxiety' and enable emerging technologies such as aerial drones and high-performance portable electronics. The ability to detect the initial onset of lithium plating from easily accessible voltage measurements would greatly improve battery safety and feedback controls modeling. In this work, we first highlight the application of a differential open-circuit voltage analysis (dOCV) to detect when Li plating begins during a single charge for room temperature fast charging. We also show that dOCV can identify the Li plating onset during cycling with sensitivity of 1 mg plated Li per gram graphite, equivalent to 1% of the graphite capacity, indicating that this method has commercial promise for on-line Li detection.Next, we demonstrate the power of simple, accessible, and high-throughput cycling techniques to quantify irreversible Li plating spanning data from over 200 cells. We first observe the effects of energy density, charge rate, temperature, and State-of-Charge (SOC) on lithium plating, use the results to refine mature physics-based electrochemical models, and provide an interpretable empirical equation for predicting the plating onset SOC. We then explore the reversibility of lithium plating and its connection to electrolyte design for preventing irreversible Li accumulation. Finally, we design a method to quantify in-situ Li plating for commercially relevant Graphite|LiNi0.5Mn0.3Co0.2O2 (NMC) cells and compare with results from the experimentally convenient Li|Graphite configuration. The hypotheses and abundant data in this section were generated primarily with equipment universal to the battery researcher, encouraging further development of innovative testing methods and data processing that enable rapid battery engineering.Finally, we consider the challenge of highly variable charging conditions possible in commercial cells. We combine pseudo-2D electrochemical modeling with data visualization methods to reveal important relationships between the measurable cell voltage and difficult-to-predict Li plating onset criteria. An extensively validated model is used to compute lithium plating for thousands of multistep charging conditions spanning diverse rates, temperatures, states-of-charge (SOC), and cell aging. We observe an empirical cell operating voltage limit below which plating does not occur across all conditions, and this limit varies with battery state-of-charge and aging. A model sensitivity analysis also indicates that when comparing two charging voltage profiles, the capacity difference at 4.0V correlates well with the difference in the plating onset capacity. These results encourage simple strategies for Li plating prevention that are complementary to existing battery controls.
■590 ▼aSchool code: 0028.
■650 4▼aChemical engineering.
■650 4▼aEnergy.
■650 4▼aSustainability.
■653 ▼aLi-ion battery
■653 ▼aFast-charging
■653 ▼aLithium plating
■653 ▼aLithium-ion
■653 ▼aElectrochemical models
■690 ▼a0542
■690 ▼a0791
■690 ▼a0640
■71020▼aUniversity of California, Berkeley▼bChemical Engineering.
■7730 ▼tDissertations Abstracts International▼g85-03B.
■773 ▼tDissertation Abstract International
■790 ▼a0028
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16934695▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
