Robust Battery Management System Design with MATLAB: Theory, Algorithms, and Software - Rilegato

Balasingam, Balakumar

Rilegato

ISBN 10: 1630819522 ISBN 13: 9781630819521

Casa editrice: Artech House, 2023

Riassunto

This book introduces several battery management problems and provides solutions using model-based approaches. It provides detailed coverage of battery management problems, including battery impedance estimation, battery capacity estimation, state of charge estimation, state of health estimation, battery thermal management, and optimal charging algorithms. The book introduces important battery management problems in a modularized fashion, decoupling each battery management problem from others as much as possible, allowing you to focus on understanding a particular topic rather than having to understand all aspects of a battery management system.

 

You will get the necessary background to understand, implement and improve battery fuel gauges in electric vehicles, and general state of health of the battery; use proven models and algorithms to estimate the thermal properties of a battery; and know the basics of smart battery charger design. You will also be equipped to accurately estimate battery features of vehicles, such as state of charge, expected charging time, and state of health, to make customized charging waveforms for each vehicle.

 

The book teaches you how to create simulation environments to test and validate algorithms against model uncertainty and measurement noise. In addition, the importance of benchmarking battery management algorithms is covered, and several bench marking metrics are presented. Included MATLAB codes give you an easy way to test the algorithms using realistic data and to develop and test alternative solutions. This is a useful and timely guide for battery engineers at all levels, as well as research scientists and advanced students working in this robust and rapidly advancing area.

Su questo libro

Informazioni sull?autore

Balakumar Balasingam is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Windsor. Before that, he was an Assistant Research Professor in the Department of Electrical and Computer Engineering at the University of Connecticut. He received his Ph.D. in Electrical Engineering from McMaster University, Canada in 2008. After that, he held two postdoctoral positions, one at the University of Ottawa from 2008 to 2010 and another at the University of Connecticut from 2010 to 2012. Dr. Balasingam founded the battery management research lab (BMSLab, www.bmslab.org) at the University of Windsor in 2017. Through the BMSLab, Dr. Balasingam has been collaborating with industry, academic, and community partners toward research and educational activities involving battery management systems.

Dettagli dell?edizione

• Editore: Artech House
• Data di pubblicazione: 2023
• ISBN 10: 1630819522
• ISBN 13: 9781630819521
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero di pagine: 287
• Contatto del produttore: non disponibile