Battery management systems, Vol. 1: battery modeling

By:

Plett, Gregory L

Publication details: Artech House, 2015. Boston:Description: xi, 327p.; hbk; 30cmISBN:

9781630810238

Subject(s):

DDC classification:

621.31242 PLE

Summary: 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 resource also presents a breakthrough technology called the discrete-time realization algorithmù that automatically converts physics-based models into high-fidelity approximate reduced-order models. https://us.artechhouse.com/Battery-Management-Systems-Volume-1-Battery-Modeling-P1752.aspx

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	IIT Gandhinagar	General	621.31242 PLE (Browse shelf(Opens below))	1	Available		031668

Includes Index

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 resource also presents a breakthrough technology called the discrete-time realization algorithmù that automatically converts physics-based models into high-fidelity approximate reduced-order models.

https://us.artechhouse.com/Battery-Management-Systems-Volume-1-Battery-Modeling-P1752.aspx

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