Battery management systems, Vol. 1: battery modeling
Publication details: Artech House, 2015. Boston:Description: xi, 327p.; hbk; 30cmISBN:- 9781630810238
- 621.31242 PLE
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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IIT Gandhinagar | General | 621.31242 PLE (Browse shelf(Opens below)) | 1 | Available | 031668 |
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621.31042 VEN Special electrical machines | 621.31042 VEN Special electrical machines | 621.3121340954 ARO Handbook on development of Hydro-Power Project in India | 621.31242 PLE Battery management systems, Vol. 1: battery modeling | 621.31242 PLE Battery management systems, vol. 2: equivalent-circuit methods | 621.31242 ROS Battery technology: from fundamentals to thermal behavior and management | 621.312429 LAR Fuel cell systems explained |
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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