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Battery Management Systems, Volume I: Battery Modeling / by Gregory L. Plett

By: Series: Artech House power engineering and power electronics seriesPublication details: Norwood: Artch Houde, ©2015.Description: xi, 327 pISBN:
  • 9781630810238
Subject(s): DDC classification:
  • 621.35 PleB Vol.1
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.
List(s) this item appears in: New Arrivals 01st-15th April 2026, Vol. 07, Issue 06
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Item type Current library Collection Call number Status Barcode
Books Indian Institute of Technology Tirupati General Stacks Chemical Engineering 621.35 PleB Vol.1 (12348) (Browse shelf(Opens below)) Available 12348
Books Indian Institute of Technology Tirupati General Stacks Chemical Engineering REF 621.35 PleB Vol.1 (12347) (Browse shelf(Opens below)) Available 12347
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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 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.

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