Battery management systems. Volume I, Battery modeling /
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| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Norwood :
Artech House,
2015.
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| Series | Artech House power engineering series.
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| Subjects | |
| Online Access | Full text |
| ISBN | 9781630810245 163081024X 9781523116980 1523116986 9781523116997 1523116994 1630810231 9781630810238 |
| Physical Description | 1 online resource (343 pages) |
Cover
| Abstract: | Large-scale battery packs are needed in hybrid and electric vehicles, utilities grid backup and storage, and frequency-regulation applications. In order to maximize battery-pack safety, longevity, and performance, it is important to understand how battery cells work. This first of its kind new resource focuses on developing a mathematical understanding of how electrochemical (battery) cells work, both internally and externally. nThis comprehensive resource derives physics-based micro-scale model equations, then continuum-scale model equations, and finally reduced-order model equations. This book describes the commonly used equivalent-circuit type battery model and develops equations for superior physics-based models of lithium-ion cells at different length scales.nnThis resource also presents a breakthrough technology called the "discrete-time realization algorithm" that automatically converts physics-based models into high-fidelity approximate reduced-order models. n Publisher abstract. |
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| Bibliography: | Includes bibliographical references. |
| ISBN: | 9781630810245 163081024X 9781523116980 1523116986 9781523116997 1523116994 1630810231 9781630810238 |
| Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |
| Physical Description: | 1 online resource (343 pages) |