Mathematical Modeling of Lithium Batteries From Electrochemical Mode

This book is unique to be the only one completely dedicated for battery modeling for all components of battery management system (BMS) applications. The contents of this book compliment the multitude of research publications in this domain by providing co

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Krishnan S. Hariharan Piyush Tagade Sanoop Ramachandran

Mathematical Modeling of Lithium Batteries From Electrochemical Models to State Estimator Algorithms

Green Energy and Technology

More information about this series at http://www.springer.com/series/8059

Krishnan S. Hariharan Piyush Tagade Sanoop Ramachandran •

Mathematical Modeling of Lithium Batteries From Electrochemical Models to State Estimator Algorithms

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Krishnan S. Hariharan Samsung Advanced Institute of Technology (SAIT)-India Samsung R&D Institute India Bangalore, Karnataka India

Sanoop Ramachandran Samsung Advanced Institute of Technology (SAIT)-India Samsung R&D Institute India Bangalore, Karnataka India

Piyush Tagade Samsung Advanced Institute of Technology (SAIT)-India Samsung R&D Institute India Bangalore, Karnataka India

ISSN 1865-3529 ISSN 1865-3537 (electronic) Green Energy and Technology ISBN 978-3-319-03526-0 ISBN 978-3-319-03527-7 (eBook) https://doi.org/10.1007/978-3-319-03527-7 Library of Congress Control Number: 2017955822 © Springer International Publishing AG 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

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Preface

An explosive market of Li-ion batteries has led to aggressive demand for fundamental understanding and mathematical modeling for accurate battery management systems (BMS). Researchers from multi-various backgrounds contribute from their respective background, leading to a lateral growth. Risk of this runaway situation is that indiscriminate use without appreciating the cohesive fundamentals often results in misinterpretation. It is worthy to note that the guiding principles