Battery State Estimation : Methods and Models.

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Bibliographic Details
Author / Creator:Wang, Shunli.
Imprint:Stevenage : Institution of Engineering & Technology, 2021.
Description:1 online resource (313 p.).
Language:English
Series:Energy Engineering Ser.
Energy Engineering Ser.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13515714
Hidden Bibliographic Details
ISBN:183953530X
9781839535307
9781839535291
1839535296
Notes:Print version record.
Summary: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.
Other form:Print version: Wang, Shunli Battery State Estimation Stevenage : Institution of Engineering & Technology,c2021 9781839535291
Description
Summary:Batteries are of vital importance for storing intermittent renewable energy for stationary and mobile applications. In order to charge the battery and maintain its capacity, the states of the battery - such as the current charge, safety and health, but also quantities that cannot be measured directly - need to be known to the battery management system. State estimation estimates the electrical state of a system by eliminating inaccuracies and errors from measurement data. Numerous methods and techniques are used for lithium-ion and other batteries. The various battery models seek to simplify the circuitry used in the battery management system.
Physical Description:1 online resource (313 p.).
ISBN:183953530X
9781839535307
9781839535291
1839535296