Abstract
In this paper, the variable projection based Steffensen acceleration (VP-SA) algorithm is proposed for battery state of health (SOH) estimation. The VP-SA algorithm exploits the separability of variables to reduce the dimensionality of the parameters, which can improve the estimation efficiency. In addition, based on the Steffensen acceleration method, the convergence rates of the VP algorithm can be increased. The simulation example shows the effectiveness of the proposed algorithm.
Funder
National Natural Science Foundation of China
Postgraduate Research & Practice Innovation Program of Jiangsu Province
Natural Science Foundation of Jiangsu Province
Publisher
The Electrochemical Society
Subject
Materials Chemistry,Electrochemistry,Surfaces, Coatings and Films,Condensed Matter Physics,Renewable Energy, Sustainability and the Environment,Electronic, Optical and Magnetic Materials
Cited by
3 articles.
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