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State‐of‐charge and state‐of‐health estimation...
Journal article

State‐of‐charge and state‐of‐health estimation with state constraints and current sensor bias correction for electrified powertrain vehicle batteries

Abstract

Pragmatic approaches are proposed to enhance battery state estimation using Kalman filter (KF) and extended KF. Notable novelties introduced include: the use of state/parameter constraints, asymmetric equivalent circuit model behaviour, inclusion of nominal models, and current sensor measurement bias estimation and compensation. The so‐called delta parameters are estimated to handle cell variations, aging, and online deviation of parameters. …

Authors

Malysz P; Gu R; Ye J; Yang H; Emadi A

Journal

IET Electrical Systems in Transportation, Vol. 6, No. 2, pp. 136–144

Publisher

Institution of Engineering and Technology (IET)

Publication Date

June 2016

DOI

10.1049/iet-est.2015.0030

ISSN

2042-9738