DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 이상국 | - |
dc.contributor.author | Baktiyar, Akzhol | - |
dc.contributor.author | 박티야르악졸 | - |
dc.date.accessioned | 2024-07-25T19:31:19Z | - |
dc.date.available | 2024-07-25T19:31:19Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1045928&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/320697 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2023.8,[iii, 22 p. :] | - |
dc.description.abstract | This work proposes the application of compressive sensing (CS) to reduce the measurement time in electrochemical impedance spectroscopy (EIS) for lithium-ion batteries. EIS is a non-destructive frequency response technique that provides valuable information on the state and degradation mechanisms occurring inside a battery. However, EIS measurement time is lengthy, making it impractical for evaluating the state of operating cells. CS is a signal-processing technique that enables the efficient acquisition and reconstruction of signals from a reduced number of measurements. The study aims to identify a suitable transform domain using dictionary learning that facilitates the adoption of CS techniques for the compression of the EIS data obtained from lithium-ion batteries. Thanks to the reduced number of EIS measurements, the proposed CS-based EIS achieves approximately 40% reduction in measurement time for open-source and in-house collected data, respectively, with minimal accuracy degradation. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | 전기화학 임피던스 분광법▼a리튬이온 배터리▼a압축 센싱▼a사전 학습 | - |
dc.subject | Electrochemical impedance spectroscopy▼aLithium-ion batteries▼aCompressive sensing▼aDictionary learning | - |
dc.title | Reduction of electrochemical impedance spectroscopy measurement time for lithium-ion batteries based on compressive sensing | - |
dc.title.alternative | 리튬 이온 전지의 압축센싱 기반 전기화학적 임피던스 분광법 측정 시간 단축 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전기및전자공학부, | - |
dc.contributor.alternativeauthor | Lee, Sang-Gug | - |
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