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Battery State Estimation: Methods And Models (Energy Engineering)

The Institution of Engineering and Technology
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9781839535291
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ISBN13:
9781839535291
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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.


  • | Author: Shunli Wang
  • | Publisher: The Institution of Engineering and Technology
  • | Publication Date: Jan 27, 2022
  • | Number of Pages: 298 pages
  • | Language: English
  • | Binding: Hardcover/Technology & Engineering
  • | ISBN-10: 1839535296
  • | ISBN-13: 9781839535291
Author:
Shunli Wang
Publisher:
The Institution of Engineering and Technology
Publication Date:
Jan 27, 2022
Number of pages:
298 pages
Language:
English
Binding:
Hardcover/Technology & Engineering
ISBN-10:
1839535296
ISBN-13:
9781839535291