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Modeling and State Estimation of Automotive Lithium-Ion Batteries

By: Carlos Fernandez (Author) , Fan Wu (Author) , Jialu Qiao (Author) , Josep M Guerrero (Author) , Shunli Wang (Author)

Manufacture on Demand

Ksh 20,750.00

Format: Hardback or Cased Book

ISBN-10: 1032777915

ISBN-13: 9781032777917

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jul 16th, 2024

Publication Status: Active

Product extent: 134 Pages

Weight: 453.00 grams

Product Classification / Subject(s): Energy conversion & storage
Automotive technology & trades

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This book aims to evaluate and improve the state of charge (SOC) and state of health (SOH) of automotive lithium-ion batteries.

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.


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