서브메뉴
검색
Pulse Perturbation for Battery Management
Pulse Perturbation for Battery Management
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211151114
- ISBN
- 9798382770680
- DDC
- 621.3
- 저자명
- Li, Alan Gen.
- 서명/저자
- Pulse Perturbation for Battery Management
- 발행사항
- [Sl] : Columbia University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 129 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
- 주기사항
- Advisor: Preindl, Matthias.
- 학위논문주기
- Thesis (Ph.D.)--Columbia University, 2024.
- 초록/해제
- 요약Lithium-ion battery responses to bipolar pulse perturbations of less than two minute duration and one C-rate amplitude are studied as general-purpose diagnostics signals that encode the cell impedance, remaining charge, and degradation level. It is shown that the information is derived from a combination of the linear and nonlinear system dynamics of the electrochemical overpotentials, open-circuit voltage change, and hysteresis of the cell. Experimental data is analyzed using an equivalent circuit composed of a conventional resistor-capacitor pair model, a square-root-order convolution-defined diffusion element, and a piece-wise-linear open-circuit voltage element. This bipolar pulse model disaggregates the battery voltage response into its constituent dynamics and allows the nonlinearities to be isolated. The nonlinearities are crucial features which allow the battery charge, health, and incremental capacity features to be regressed directly from the pulse voltage response using ridge regression and feedforward neural networks. Assessment of different pulse shapes suggests that the diagnostics power of the pulse may increase with higher amplitude and shorter duration. Real-world applications are then investigated, including the estimation of charge imbalance using the series-module pulse response, and state-space formulation of the convolution-defined diffusion element.Further refinement of the pulse techniques could simplify battery diagnostics by providing, from a single pulse diagnostic, the key states of charge, health, and power necessary to operate a reliable system.
- 일반주제명
- Electrical engineering
- 일반주제명
- Chemistry
- 일반주제명
- Energy
- 일반주제명
- Applied physics
- 키워드
- Cell impedance
- 기타저자
- Columbia University Electrical Engineering
- 기본자료저록
- Dissertations Abstracts International. 85-11B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008250123s2024 us c eng d■001000017160769
■00520250211151114
■006m o d
■007cr#unu||||||||
■020 ▼a9798382770680
■035 ▼a(MiAaPQ)AAI31145054
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621.3
■1001 ▼aLi, Alan Gen.
■24510▼aPulse Perturbation for Battery Management
■260 ▼a[Sl]▼bColumbia University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a129 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-11, Section: B.
■500 ▼aAdvisor: Preindl, Matthias.
■5021 ▼aThesis (Ph.D.)--Columbia University, 2024.
■520 ▼aLithium-ion battery responses to bipolar pulse perturbations of less than two minute duration and one C-rate amplitude are studied as general-purpose diagnostics signals that encode the cell impedance, remaining charge, and degradation level. It is shown that the information is derived from a combination of the linear and nonlinear system dynamics of the electrochemical overpotentials, open-circuit voltage change, and hysteresis of the cell. Experimental data is analyzed using an equivalent circuit composed of a conventional resistor-capacitor pair model, a square-root-order convolution-defined diffusion element, and a piece-wise-linear open-circuit voltage element. This bipolar pulse model disaggregates the battery voltage response into its constituent dynamics and allows the nonlinearities to be isolated. The nonlinearities are crucial features which allow the battery charge, health, and incremental capacity features to be regressed directly from the pulse voltage response using ridge regression and feedforward neural networks. Assessment of different pulse shapes suggests that the diagnostics power of the pulse may increase with higher amplitude and shorter duration. Real-world applications are then investigated, including the estimation of charge imbalance using the series-module pulse response, and state-space formulation of the convolution-defined diffusion element.Further refinement of the pulse techniques could simplify battery diagnostics by providing, from a single pulse diagnostic, the key states of charge, health, and power necessary to operate a reliable system.
■590 ▼aSchool code: 0054.
■650 4▼aElectrical engineering
■650 4▼aChemistry
■650 4▼aEnergy
■650 4▼aApplied physics
■653 ▼aLithium-ion battery
■653 ▼aCell impedance
■653 ▼aBipolar pulse model
■653 ▼aBattery voltage response
■690 ▼a0544
■690 ▼a0485
■690 ▼a0791
■690 ▼a0215
■71020▼aColumbia University▼bElectrical Engineering.
■7730 ▼tDissertations Abstracts International▼g85-11B.
■790 ▼a0054
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17160769▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
