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Shen Weixiang - Advanced battery management technologies for electric vehicles

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A comprehensive examination of advanced battery management technologies and practices in modern electric vehicles Policies surrounding energy sustainability and environmental impact have become of increasing interest to governments, industries, and the general public worldwide. Policies embracing strategies that reduce fossil fuel dependency and greenhouse gas emissions have driven the widespread adoption of electric vehicles (EVs), including hybrid electric vehicles (HEVs), pure electric vehicles (PEVs) and plug-in electric vehicles (PHEVs). Battery management systems (BMSs) are crucial components of such vehicles, protecting a battery system from operating outside its Safe Operating Area (SOA), monitoring its working conditions, calculating and reporting its states, and charging and balancing the battery system. Advanced Battery Management Technologies for Electric Vehicles is a compilation of contemporary model-based state estimation methods and battery charging and balancing techniques, providing readers with practical knowledge of both fundamental concepts and practical applications. This timely and highly-relevant text covers essential areas such as battery modeling and battery state of charge, energy, health and power estimation methods. Clear and accurate background information, relevant case studies, chapter summaries, and reference citations help readers to fully comprehend each topic in a practical context. -Offers up-to-date coverage of modern battery management technology and practice -Provides case studies of real-world engineering applications -Guides readers from electric vehicle fundamentals to advanced battery management topics -Includes chapter introductions and summaries, case studies, and color charts, graphs, and illustrations Suitable for advanced undergraduate and graduate coursework, Advanced Battery Management Technologies for Electric Vehicles is equally valuable as a reference for professional researchers and engineers. Read more...
Abstract: A comprehensive examination of advanced battery management technologies and practices in modern electric vehicles Policies surrounding energy sustainability and environmental impact have become of increasing interest to governments, industries, and the general public worldwide. Policies embracing strategies that reduce fossil fuel dependency and greenhouse gas emissions have driven the widespread adoption of electric vehicles (EVs), including hybrid electric vehicles (HEVs), pure electric vehicles (PEVs) and plug-in electric vehicles (PHEVs). Battery management systems (BMSs) are crucial components of such vehicles, protecting a battery system from operating outside its Safe Operating Area (SOA), monitoring its working conditions, calculating and reporting its states, and charging and balancing the battery system. Advanced Battery Management Technologies for Electric Vehicles is a compilation of contemporary model-based state estimation methods and battery charging and balancing techniques, providing readers with practical knowledge of both fundamental concepts and practical applications. This timely and highly-relevant text covers essential areas such as battery modeling and battery state of charge, energy, health and power estimation methods. Clear and accurate background information, relevant case studies, chapter summaries, and reference citations help readers to fully comprehend each topic in a practical context. -Offers up-to-date coverage of modern battery management technology and practice -Provides case studies of real-world engineering applications -Guides readers from electric vehicle fundamentals to advanced battery management topics -Includes chapter introductions and summaries, case studies, and color charts, graphs, and illustrations Suitable for advanced undergraduate and graduate coursework, Advanced Battery Management Technologies for Electric Vehicles is equally valuable as a reference for professional researchers and engineers

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Table of Contents List of Tables Chapter 1 Chapter 2 Chapter 3 Chapter - photo 1
Table of Contents
List of Tables
  1. Chapter 1
  2. Chapter 2
  3. Chapter 3
  4. Chapter 4
  5. Chapter 5
  6. Chapter 6
  7. Chapter 7
  8. Chapter 8
List of Illustrations
  1. Chapter 1
  2. Chapter 2
  3. Chapter 3
  4. Chapter 4
  5. Chapter 5
  6. Chapter 6
  7. Chapter 7
  8. Chapter 8
Guide
Pages
Advanced Battery Management Technologies for Electric Vehicles

Rui Xiong

Beijing Institute of Technology
China

Weixiang Shen

Swinburne University of Technology
Australia

Copyright This edition first published 2019 2019 John Wiley Sons Ltd All - photo 2

Copyright

This edition first published 2019

2019 John Wiley & Sons Ltd

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

The right of Rui Xiong and Weixiang Shen to be identified as the authors of this work has been asserted in accordance with law.

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John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA

John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, UK

Editorial Office

The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, UK

For details of our global editorial offices, customer services, and more information about Wiley products visit us at www.wiley.com.

Wiley also publishes its books in a variety of electronic formats and by printondemand. Some content that appears in standard print versions of this book may not be available in other formats.

Limit of Liability/Disclaimer of Warranty

MATLAB is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant the accuracy of the text or exercises in this book. This work's use or discussion of MATLAB software or related products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach or particular use of the MATLAB software.

While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

Library of Congress Cataloging-in-Publication Data

Names: Xiong, Rui, author. | Shen, Weixiang, author.

Title: Advanced battery management technologies for electric vehicles / Rui

Xiong, Beijing Institute of Technology, China, Weixiang Shen, Swinburne

University of Technology, Australia.

Description: Hoboken, NJ : John Wiley & Sons, Inc., [2019] | Series:

Automotive Series | Includes bibliographical references and index. |

Identifiers: LCCN 2018044881 (print) | LCCN 2018046237 (ebook) | ISBN

9781119481676 (Adobe PDF) | ISBN 9781119481683 (ePub) | ISBN 9781119481645

(hardcover)

Subjects: LCSH: Electric vehicles-Batteries.

Classification: LCC TL220 (ebook) | LCC TL220 .X56 2018 (print) | DDC

629.25/024-dc23

LC record available at https://lccn.loc.gov/2018044881

Cover Design: Wiley

Cover Images: solarseven/Shutterstock, 3DMI/Shutterstock, Ungor/Shutterstock, buffaloboy/Shutterstock

Automotive Series

Series Editor: Thomas Kurfess

Advanced Battery Management Technologies for Electric VehiclesXiong and ShenJanuary 2019
Automotive Power Transmission SystemsZhangSeptember 2018
Hybrid Electric Vehicles: Principles and Applications with Practical Perspectives, 2nd EditionMi and MasrurOctober 2017
Hybrid Electric Vehicle System Modeling and Control, 2nd EditionLiuApril 2017
Thermal Management of Electric Vehicle Battery SystemsDincer, Hamut, and JavaniMarch 2017
Automotive AerodynamicsKatzApril 2016
The Global Automotive IndustryNieuwenhuis and WellsSeptember 2015
Vehicle DynamicsMeywerkMay 2015
Vehicle Gearbox Noise and Vibration: Measurement, Signal Analysis, Signal Processing and Noise Reduction MeasuresTmaApril 2014
Modeling and Control of Engines and DrivelinesEriksson and NielsenApril 2014
Modelling, Simulation and Control of TwoWheeled VehiclesTanelli, Corno, and SavaresiMarch 2014
Advanced Composite Materials for Automotive Applications: Structural Integrity and CrashworthinessElmarakbiDecember 2013
Guide to Load Analysis for Durability in Vehicle EngineeringJohannesson and SpeckertNovember 2013
Biographies

Rui Xiong received his MSc degree in vehicle engineering and PhD degree in mechanical engineering from Beijing Institute of Technology, Beijing, China, in 2010 and 2014, respectively. He conducted scientific research as a joint PhD student in the DOE GATE Centre for Electric Drive Transportation at the University of Michigan, Dearborn, MI, USA, between 2012 and 2014.

Since 2014, he has been an Associate Professor in the Department of Vehicle Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China. Since 2017, he has been an Adjunct Professor at the Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, Australia. He has conducted extensive research on electric vehicles and hybrid electric vehicles, energy storage and battery management systems, and authored more than 100 peerreviewed articles and held ten patents in the relevant research fields.

Dr Xiong was a recipient of the Excellent Doctoral Dissertation from Beijing Institute of Technology in 2014, and the first prize of the Chinese Automobile Industry Science and Technology Invention Award in 2018. He received the 2018 Best Vehicular Electronics Paper Award recognizing his paper as the best paper in Vehicular Electronics that had been published in the

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