This book provides a detailed description of battery modeling, which covers topics of OCV dependency and RC-based linear models of batteries, as well as thermal modeling. Methods of estimating parameters of such models are provided both in frequency and time domain experiments. Giving a strong mathematical background for implementing the methods mentioned, as well as providing detailed examples useful for reinforcing the material with the students. Battery gauging sections show how battery models can be used in order to provide accurate battery gauging. Gauging methods involving voltage correlation and coulomb counting are covered, with a description of how capacity can be updated with battery aging. Statistical methods are provided that allow you to deal with noise measurement and provide accurate estimates. The book gives a description of traditional CC/CV charging methods as well as provides an optimization that allows finding compromise between charging time and energy loss. The evaluation and benchmarking of the battery management system is described with detailed examples. The book will be a useful guide for battery engineers and students studying battery modeling and gauging systems.
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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.
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