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Cited article:

A Review of Approaches for the Design of Li-Ion BMS Estimation Functions

D. Di Domenico, Y. Creff, E. Prada, P. Duchêne, J. Bernard, V. Sauvant-Moynot

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles, 68 1 (2013) 127-135

Published online: 2013-02-26

DOI: https://doi.org/10.2516/ogst/2012072

This article has been cited by the following article(s):

An adaptive strategy for Li-ion battery internal state estimation

Domenico Di Domenico, Eric Prada and Yann Creff
Control Engineering Practice 21 (12) 1851 (2013)
DOI: 10.1016/j.conengprac.2013.08.004
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Battery Energy Storage System (BESS) and Battery Management System (BMS) for Grid-Scale Applications

Matthew T. Lawder, Bharatkumar Suthar, Paul W. C. Northrop, et al.
Proceedings of the IEEE 102 (6) 1014 (2014)
DOI: 10.1109/JPROC.2014.2317451
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State of Health estimation for NCA-C Lithium-ion cells

D. Di Domenico, P. Pognant-Gros, M. Petit and Y. Creff
IFAC-PapersOnLine 48 (15) 376 (2015)
DOI: 10.1016/j.ifacol.2015.10.054
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Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries

Prashant Shrivastava, Tey Kok Soon, Mohd Yamani Idna Bin Idris and Saad Mekhilef
Renewable and Sustainable Energy Reviews 113 109233 (2019)
DOI: 10.1016/j.rser.2019.06.040
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