NDLI: Noise estimation and bias correction in identification of battery models

Content Provider	IEEE Xplore Digital Library
Author	Sitterly, M. Le Yi Wang Yin, G.G. Caisheng Wang
Copyright Year	2011
Description	Author affiliation: Division of Engineering Technology and Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI 48202 (Caisheng Wang) \|\| Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI 48202 (Sitterly, M.; Le Yi Wang) \|\| Department of Mathematics, Wayne State University, Detroit, MI 48202 (Yin, G.G.)
Abstract	Battery systems demonstrate different characteristics. Their dynamics change with time and operating conditions due to aging and variations in operational conditions such as thermal distribution and and chemical properties. To enhance reliability, efficiency, and life expectancy, battery management systems must acquire high fidelity battery cell models during the course of life-time operations. This paper aims to develop identification algorithms that capture individualized characteristics of each battery cell and produce updated models in real time. It is shown that standard least-squares estimation methods will encounter identification bias. Bias correction requires information on noise statistics, which are usually unknown and time varying. This paper devises integrated algorithms for noise estimation and bias correction to resolve these issues. Noise estimation accuracy, interaction of noise estimation with signal variations, algorithm convergence, and bias correction mechanisms are discussed. A typical battery model structure is used to illustrate utilities of the methods.
Starting Page	1
Ending Page	4
File Size	216117
Page Count	4
File Format	PDF
ISBN	9781457710001
ISSN	19449925
e-ISBN	9781457710025
e-ISBN	9781457710018
DOI	10.1109/PES.2011.6039216
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Batteries Noise Estimation Integrated circuit modeling Noise measurement Voltage measurement Real time systems noise estimation Battery model battery management system parameter estimation system identification bias correction
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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