Battery Management Systems, Volume I: Battery Modeling (Hardcover)

Gregory Plett

ISBN 10: 1630810231 / ISBN 13: 9781630810238

Published by Artech House Publishers, Norwood, 2015

About this Item

Hardcover. 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.This 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.This book presents a breakthrough technology called the "discrete-time realization algorithm" that automatically converts physics-based models into high-fidelity approximate reduced-order models. This first of its kind new resource focuses on developing a mathematical understanding of how electrochemical (battery) cells work, both internally and externally. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9781630810238

Bibliographic Details

• Title: Battery Management Systems, Volume I: Battery Modeling (Hardcover)
• Publisher: Artech House Publishers, Norwood
• Publication Date: 2015
• Language: English
• ISBN 10: 1630810231
• ISBN 13: 9781630810238
• Binding: Hardcover
• Condition: new

About this title

Synopsis

This comprehensive resource derives physics-based microscale 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.

This book presents a breakthrough technology called the discrete-time realization

algorithm that automatically converts physics-based models into high-fidelity

approximate reduced-order models. These reduced-order models have similar

computational complexity to equivalent-circuit-type models, but can also predict

electrochemical variables at any spatial location inside the cell.

About the Author

Gregory L. Plett is a Professor of Electrical and Computer Engineering at the University of Colorado at Colorado Springs. He received his B.S. in Electrical Engineering from Carleton University in Ottawa, Ontario and his MS and Ph.D. in Electrical Engineering from Stanford University in Stanford, CA