An edition of Battery management systems (2015)

Battery management systems

Battery modeling

  • 3 Want to read
Battery management systems
Gregory L. Plett, Gregory L. P ...
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Last edited by MARC Bot
December 12, 2022 | History
An edition of Battery management systems (2015)

Battery management systems

Battery modeling

  • 3 Want to read

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

Publish Date
Publisher
Artech House
Language
English
Pages
343

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Edition Availability
Cover of: Battery management systems
Battery management systems: Battery modeling
2015, Artech House
in English

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Book Details


Table of Contents

1. Battery Boot Camp
2. Equivalent-Circuit Models
3. Microscale Cell Models
4. Continuum-Scale Cell Models
5. State-Space Models and the Discrete-Time Realization Algorithm
6. Reduced-Order Models
7. Thermal Modeling.

Edition Notes

Includes bibliographical references.

Published in
Norwood
Series
Artech House power engineering and power electronics, Artech House power engineering series
Other Titles
Battery modeling

Classifications

Dewey Decimal Class
621.31242
Library of Congress
TK2945.L58P64 2015

The Physical Object

Pagination
1 online resource (343 pages)
Number of pages
343

ID Numbers

Open Library
OL43847400M
ISBN 10
163081024X, 1523116986, 1523116994, 1630810231
ISBN 13
9781630810245, 9781523116980, 9781523116997, 9781630810238
LCCN
2015510784
OCLC/WorldCat
978618037

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December 12, 2022 Created by MARC Bot import new book