DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 이상국 | - |
dc.contributor.author | Xu, Yi | - |
dc.contributor.author | 서익 | - |
dc.date.accessioned | 2024-07-25T19:31:14Z | - |
dc.date.available | 2024-07-25T19:31:14Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1045907&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/320677 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2023.8,[iii, 31 p. :] | - |
dc.description.abstract | This thesis presents a feature fusion state of health (SOH) prediction framework for lithium-ion batteries. The framework combines the health features of electrochemical impedance spectroscopy (EIS) and incremental capacity analysis (ICA), uses convolutional neural network (CNN) and improved long short-term memory network (TLSTM) to establish the mapping relationship between features and state of health. The parameters of the improved particle swarm optimization (IPSO) algorithm are optimized to build the IPSO-CNN-TLSTM model by modifying updating rules of the inertia weight and learning factor of the particle swarm optimization (PSO) algorithm to improve its optimization ability. Finally, numerical outcomes of the NASA PCoE datasets confirm this method’s applicability and efficacy.confirm this method’s applicability and efficacy. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | 리튬이온 배터리▼a전기화학 임피던스 스펙트럼▼a증량용량 분석▼a장단기 기억망▼a입자군 최적화 | - |
dc.subject | Lithium battery▼aElectrochemical impedance spectroscopy▼aIncremental capacity analysis▼aLong short-term memory▼aParticle swarm optimization | - |
dc.title | Algorithm research on state of health of lithium battery based on electrochemical impedance spectroscopy and incremental capacity curve features | - |
dc.title.alternative | 전기화학 임피던스 스펙트럼과 증량 용량 곡선 특징을 바탕으로 한 리튬이온 배터리 건강 상태 알고리즘 연구 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전기및전자공학부, | - |
dc.contributor.alternativeauthor | Lee, Sang-Gug | - |
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