Multidimensional Lithium-Ion Battery Status Monitoring / Shunli Wang et.al

By:

Wang, Shunli (editor), 1985- [author.]

Series: Emerging Materials and TechnologiesPublisher: Boca Raton, FL : CRC Press, 2023Description: xvi, 338p. illContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781032367903

Subject(s):

Lithium ion batteries -- Mathematical models

Additional physical formats: Print version:: Modeling and state estimation of automotive lithium-ion batteriesDDC classification:

629.25/42 23/eng/20240520

LOC classification:

TK 2945 .M85

Summary: "This book aims to evaluate and improve the state of charge (SOC) and state of health (SOH) of automotive lithium-ion batteries. The authors first introduce the basic working principle and dynamic test characteristics of lithium-ion batteries. They present the dynamic transfer model, compare it with the traditional second-order reserve capacity (RC) model, and demonstrate the advantages of the proposed new model. In addition, they propose the chaotic firefly optimization algorithm and demonstrate its effectiveness in improving the accuracy of SOC and SOH estimation through theoretical and experimental analysis. The book will benefit researchers and engineers in the new energy industry, and provide students of science and engineering with some innovative aspects of battery modeling"-- Provided by publisher.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	NILE UNIVERSITY OF NIGERIA - MAIN LIBRARY	TK 2945 .M85 2023 (Browse shelf(Opens below))	Available		0199421

Total holds: 0

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Includes bibliographical references.

"This book aims to evaluate and improve the state of charge (SOC) and state of health (SOH) of automotive lithium-ion batteries. The authors first introduce the basic working principle and dynamic test characteristics of lithium-ion batteries. They present the dynamic transfer model, compare it with the traditional second-order reserve capacity (RC) model, and demonstrate the advantages of the proposed new model. In addition, they propose the chaotic firefly optimization algorithm and demonstrate its effectiveness in improving the accuracy of SOC and SOH estimation through theoretical and experimental analysis. The book will benefit researchers and engineers in the new energy industry, and provide students of science and engineering with some innovative aspects of battery modeling"-- Provided by publisher.

Description based on print version record and CIP data provided by publisher; resource not viewed.

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