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Magical Tome

Cover of Battery State Estimation
First published
2022
Publisher
Institution of Engineering & Technology
Pages
313 pages
ISBN
9781523142385

Battery State Estimation

The outer archives are busy

by Shunli Wang

About this book

Batteries are vital for storing renewable energy for stationary and mobile applications. Managing batteries requires knowledge of parameters such as charge and power output. State estimation estimates such parameters using measurement and modelling; a process conveyed in this book through experimental results and verification.

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