Modeling and State Estimation of Automotive Lithium-Ion Batteries

£81.99

Modeling and State Estimation of Automotive Lithium-Ion Batteries

Energy Industrial chemistry and chemical engineering Energy technology and engineering

Authors: Shunli Wang, Fan Wu, Jialu Qiao, Carlos Fernandez, Josep M Guerrero

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Language: English

Published by: CRC Press

Published on: 16th July 2024

Format: LCP-protected ePub

ISBN: 9781040046791


Introduction

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

Content Overview

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.

Target Audience

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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