Battery Management Systems, Volume III: Physics-Based Methods

Name: Battery Management Systems, Volume III: Physics-Based Methods
Brand: Artech House Publishers
SKU: 9781630819040
Price: 487.24 PLN
Availability: InStock

Autor: Gregory Plett, M. Scott Trimboli

Język:

Oprawa: Twarda

Wydawca: Artech House Publishers

Dostępność: Dostępna u dostawcy

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This book -- the third and final volume in a series describing battery-management systems – shows yo...

Informacje o książce

Autor

Gregory Plett, M. Scott Trimboli

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2024

strony

360

EAN

9781630819040

ISBN

1630819042

Enbook ID

44783435

Wydawca

Artech House Publishers

Waga

1330

Pełny opis

This book -- the third and final volume in a series describing battery-management systems – shows you how to use physics-based models of battery cells in a computationally efficient way for optimal battery-pack management and control to maximize battery-pack performance and extend life. It covers the foundations of electrochemical model-based battery management system while introducing and teaching the state of the art in physics-based methods for battery management. Building upon the content in volumes I and II, the book helps you identify parameter values for physics-based models of a commercial lithium-ion battery cell without requiring cell teardown; shows you how to estimate the internal electrochemical state of all cells in a battery pack in a computationally efficient way during operation using these physics-based models; demonstrates the use the models plus state estimates in a battery management system to optimize fast-charge of battery packs to minimize charge time while also maximizing battery service life; and takes you step-by-step through the use models to optimize the instantaneous power that can be demanded from the battery pack while also maximizing battery service life. The book also demonstrates how to overcome the primary roadblocks to implementing physics-based method for battery management: the computational-complexity roadblock, the parameter-identification roadblock, and the control-optimization roadblock. It also uncovers the fundamental flaw in all present “state of art” methods and shows you why all BMS based on equivalent-circuit models must be designed with over-conservative assumptions. This is a strong resource for battery engineers, chemists, researchers, and educators who are interested in advanced battery management systems and strategies based on the best available understanding of how battery cells operate.

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