NDLI: Temperature dependent state-of-charge estimation of lithium ion battery using dual spherical unscented Kalman filter

Content Provider	IET Digital Library
Author	Aung, Htet Low, Kay Soon
Abstract	Accurate and reliable state-of-charge (SOC) estimation is an important task for battery management system in a satellite. Ambient temperature is one of the significant factors that affect SOC estimation. Since satellite operates at different temperatures throughout the orbit, it must be taken care of accordingly to safeguard the battery performance and reliability. Moreover, SOC estimation depends on battery model accuracy as well. The battery parameters are affected by temperature, SOC, charging and discharging rates. Hence, the parameters need to be updated accordingly to improve the battery model and the SOC estimation accuracy. In this study, a SOC estimation method and online parameter updating using a dual square root unscented Kalman filter based on unit spherical unscented transform is proposed. The proposed method has been validated experimentally and the results are compared with extended Kalman filter and unscented Kalman filter based on unit spherical unscented transform. Experimental results have shown that the proposed method has better performance in terms of lower root mean square error and absolute maximum error.
Starting Page	2026
Ending Page	2033
Page Count	8
ISSN	17554535
Volume Number	8
e-ISSN	17554543
Issue Number	Issue 10, Oct (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-pel/8/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-pel.2014.0863
Journal	IET Power Electronics
Publisher Date	2015-06-19
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Absolute Maximum Error Battery Management System Dual Spherical Unscented Kalman Filter Filtering Method in Signal Processing Interpolation And Function Approximation Kalman Filter Lithium Ion Battery Mean Square Error Method Nonlinear Filter Numerical Analysis Numerical Approximation And Analysis Root Mean Square Error Secondary Cell SOC Estimation Method State-of-charge Estimation Temperature Dependent State-of-charge Estimation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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