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Battery Management Systems, Volume I: Battery Modeling
Hardback

Battery Management Systems, Volume I: Battery Modeling

$462.99
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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.

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MORE INFO
Format
Hardback
Publisher
Artech House Publishers
Country
United States
Date
31 August 2015
Pages
336
ISBN
9781630810238

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.

Read More
Format
Hardback
Publisher
Artech House Publishers
Country
United States
Date
31 August 2015
Pages
336
ISBN
9781630810238