| LDR | | 01912nam u200385 4500 |
| 001 | | 000000422595 |
| 005 | | 20190215170243 |
| 008 | | 181129s2016 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438309678 |
| 035 | |
▼a (MiAaPQ)AAI10970725 |
| 035 | |
▼a (MiAaPQ)OhioLINK:osu1468917668 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 621 |
| 100 | 1 |
▼a Fan, Guodong. |
| 245 | 10 |
▼a Model Order Reduction of Multi-Dimensional Partial Differential Equations for Electrochemical-Thermal Modeling of Large-Format Lithium-Ion Batteries. |
| 260 | |
▼a [S.l.]:
▼b The Ohio State University.,
▼c 2016. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2016. |
| 300 | |
▼a 209 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
| 500 | |
▼a Adviser: Marcello Canova. |
| 502 | 1 |
▼a Thesis (Ph.D.)--The Ohio State University, 2016. |
| 520 | |
▼a Lithium ion batteries are considered the state of the art for energy storage in electric and hybrid vehicles. However, there are still several major challenges, such as battery safety, durability and cost, limiting the widespread application of |
| 520 | |
▼a This dissertation presents the reduced order electrochemical-thermal models derived from first principles and suitable for real-time simulation, estimation and control design, through the systematic use of projection methods to achieve direct Mo |
| 590 | |
▼a School code: 0168. |
| 650 | 4 |
▼a Mechanical engineering. |
| 690 | |
▼a 0548 |
| 710 | 20 |
▼a The Ohio State University.
▼b Mechanical Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0168 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2016 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001334
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |