Mathematical Modeling of Lithium Batteries: From Electrochemical Models to State Estimator Algorithms/ (Record no. 7778)

MARC details
000 -LEADER
fixed length control field 03183 a2200217 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251213124532.0
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319035260
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 511.8 HarM
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Krishnan S. Hariharan
245 ## - TITLE STATEMENT
Title Mathematical Modeling of Lithium Batteries: From Electrochemical Models to State Estimator Algorithms/
Statement of responsibility, etc Hariharan, Krishnan S, Tagade, Piyush. and Ramachandran, Sanoop.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Switzerland:
Name of publisher Springer,
Year of publication ©2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xiv, 211p.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Green Energy and Technology
520 ## - SUMMARY, ETC.
Summary, etc 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 coherent fundamentals. An explosive market of Li ion batteries has led to aggressive demand for mathematical models for 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 researchers tend to use an existing method or algorithm without in depth knowledge of the cohesive fundamentals�often misinterpreting the outcome. It is worthy to note that the guiding principles are similar and the lack of clarity impedes a significant advancement. A repeat or even a synopsis of all the applications of battery modeling albeit redundant, would hence be a mammoth task, and cannot be done in a single offering. The authors believe that a pivotal contribution can be made by explaining the fundamentals in a coherent manner. Such an offering would enable researchers from multiple domains appreciate the bedrock principles and forward the frontier. Battery is an electrochemical system, and any level of understanding cannot ellipse this premise. The common thread that needs to run across—from detailed electrochemical models to algorithms used for real time estimation on a microchip—is that it be physics based. Build on this theme, this book has three parts. Each part starts with developing a framework—often invoking basic principles of thermodynamics or transport phenomena—and ends with certain verified real time applications. The first part deals with electrochemical modeling and the second with model order reduction. Objective of a BMS is estimation of state and health, and the third part is dedicated for that. Rules for state observers are derived from a generic Bayesian framework, and health estimation is pursued using machine learning (ML) tools. A distinct component of this book is thorough derivations of the learning rules for the novel ML algorithms. Given the large-scale application of ML in various domains, this segment can be relevant to researchers outside BMS domain as well. The authors hope this offering would satisfy a practicing engineer with a basic perspective, and a budding researcher with essential tools on a comprehensive understanding of BMS models.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Nonfiction
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Science & Nature
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Tagade, Piyush.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Ramachandran, Sanoop.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Collection code Home library Current library Shelving location Date acquired Purchase Price Bill number Full call number Accession Number Print Price Bill Date/Price effective from Koha item type Source of acquisition
      Mathematics Indian Institute of Technology Tirupati Indian Institute of Technology Tirupati General Stacks 13/12/2025 8439.19 IN36367/25-26 511.8 HarM (12259) 12259 15343.97 13/12/2025 Books  
      Mathematics Indian Institute of Technology Tirupati Indian Institute of Technology Tirupati Reference 13/12/2025 8439.19 IN36367/25-26 REF 511.8 HarM (12260) 12260 15343.97 13/12/2025 Reference Shankar's Book Agency Pvt. Ltd.