자료유형 | E-Book |
---|---|
개인저자 | Davies, Gregory. |
단체저자명 | Princeton University. Mechanical and Aerospace Engineering. |
서명/저자사항 | Characterization of Batteries Using Ultrasound: Applications for Battery Management and Structural Determination. |
발행사항 | [S.l.] : Princeton University., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 206 p. |
소장본 주기 | School code: 0181. |
ISBN | 9780438050600 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Daniel Steingart. |
이용제한사항 | This item is not available from ProQuest Dissertations & Theses. |
요약 | Ultrasound has been an invaluable and widely used tool in the medical and non-destructive testing (NDT) sectors. Much of its success is attributable to its low-cost, compact size, the speed and ease of its application, and the useful qualitative |
요약 | More specifically, in Chapter 2 ultrasonic measurements were combined with a supervised machine-learning technique, which was used to predict the SOC and SOH of lithium-ion cells that had been operated for several hundred cycles. Excellent resul |
일반주제명 | Mechanical engineering. Energy. Acoustics. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-10B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998697 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00028075 | 621 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |