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A New Battery Model For Use With An Extended Kalman Filter State Of Charge Estimator
Conference proceeding

A New Battery Model For Use With An Extended Kalman Filter State Of Charge Estimator

Michael Knauff, Chris Dafis, Dagmar Niebur and IEEE
2010 AMERICAN CONTROL CONFERENCE, pp 1991-1996
01 Jan 2010
DOI: https://doi.org/10.1109/ACC.2010.5531412
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Automation & Control Systems Engineering Engineering, Electrical & Electronic Engineering, Mechanical Science & Technology Technology
State of charge estimation based on the extended Kalman filter (EKF) has recently received attention for applications that apply rapidly changing current profiles to batteries such as in hybrid electric vehicles. A new battery model is proposed for use with such an estimator in an attempt to further improve its accuracy. The model is based on physical principles underlying the behavior of valve regulated lead acid batteries, taking into account nonlinearities that have been neglected in other models. The model is compared to a linear circuit model consisting of two parallel RC circuits, often used in EKF based state of charge estimation, demonstrating improvement in accuracy.

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13 Record Views
2 citations in Web of Science
10 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering, Mechanical
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