Battery Management Systems, Volume I: Battery Modeling / by Gregory L. Plett
Series: Artech House power engineering and power electronics seriesPublication details: Norwood: Artch Houde, ©2015.Description: xi, 327 pISBN:- 9781630810238
- 621.35 PleB Vol.1
| Item type | Current library | Collection | Call number | Status | Barcode | |
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Indian Institute of Technology Tirupati General Stacks | Chemical Engineering | 621.35 PleB Vol.1 (12348) (Browse shelf(Opens below)) | Available | 12348 | |
Books
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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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| 621.31 SteB Vol1 (12359) Batteries: Present and Future Energy Storage Challenges/ | 621.31 SteB Vol2 (12362) Batteries: Present and Future Energy Storage Challenges/ | 621.31 TsaN (12162) Nanotechnology for Photovoltaics / | 621.35 PleB Vol.1 (12348) Battery Management Systems, Volume I: Battery Modeling / | 621.35 PleB Vol.2 (12350) Battery Management Systems, Volume II: Equivalent-Circuit Methods | 621.35 PleB Vol.3 (12352) Battery Management Systems, Volume III: Physics-Based Methods | 621.366 SIE Lasers / |
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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