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Mathematical Modeling of Lithium Batteries: Fro. Hariharan, Tagade, Rama<|
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eBay item number:296179457508
Item specifics
- Condition
- PublishedOn
- 2018-01-29
- Title
- Mathematical Modeling of Lithium Batteries: From Electrochemical
- ISBN
- 9783319035260
- Subject Area
- Electrical Engineering
- Publication Name
- Mathematical Modeling of Lithium Batteries: From Electrochemical Models to State Estimator Algorithms
- Publisher
- Springer International Publishing A&G
- Subject
- Mathematics, Physics
- Publication Year
- 2018
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 235mm
- Item Width
- 155mm
- Item Weight
- 593g
- Number of Pages
- 211 Pages
About this product
Product Information
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.
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-13
9783319035260
eBay Product ID (ePID)
239332034
Product Key Features
Subject Area
Electrical Engineering
Publication Name
Mathematical Modeling of Lithium Batteries: From Electrochemical Models to State Estimator Algorithms
Format
Hardcover
Language
English
Subject
Mathematics, Physics
Publication Year
2018
Type
Textbook
Number of Pages
211 Pages
Dimensions
Item Height
235mm
Item Width
155mm
Item Weight
593g
Additional Product Features
Series Title
Green Energy and Technology
Country/Region of Manufacture
Switzerland
Item description from the seller
Business seller information
WRAP Ltd.
Mubin Ahmed
Unit 4
119 Loverock Road
Reading
Berkshire
RG30 1DZ
United Kingdom
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- GB 724498118
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- 03800600
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CRN Number:
- 03800600
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eBay item number:296179457508
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