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Open AccessFeature PaperArticle

Li-ion Battery Modeling and State of Charge Estimation Method Including the Hysteresis Effect

1
Institute of Advanced Technologies for Energy (ITAE), National Research Council (CNR), 5 – 98126 Messina, Italy
2
Department of Engineering, Università degli Studi di Palermo, 90133 Palermo, Italy
3
Institute of Marine Engineering (INM), National Research Council (CNR), 90146 Palermo, Italy
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(11), 1324; https://doi.org/10.3390/electronics8111324
Received: 30 September 2019 / Revised: 6 November 2019 / Accepted: 8 November 2019 / Published: 10 November 2019
(This article belongs to the Section Systems & Control Engineering)
In this paper, a new approach to modeling the hysteresis phenomenon of the open circuit voltage (OCV) of lithium-ion batteries and estimating the battery state of charge (SoC) is presented. A characterization procedure is proposed to identify the battery model parameters, in particular, those related to the hysteresis phenomenon and the transition between charging and discharging conditions. A linearization method is used to obtain a suitable trade-off between the model accuracy and a low computational cost, in order to allow the implementation of SoC estimation on common hardware platforms. The proposed characterization procedure and the model effectiveness for SoC estimation are experimentally verified using a real grid-connected storage system. A mixed algorithm is adopted for SoC estimation, which takes into account both the traditional Coulomb counting method and the developed model. The experimental comparison with the traditional approach and the obtained results show the feasibility of the proposed approach for accurate SoC estimation, even in the presence of low-accuracy measurement transducers.
Keywords: energy storage systems; SoC estimation; battery modeling; hysteresis effect energy storage systems; SoC estimation; battery modeling; hysteresis effect
MDPI and ACS Style

Antonucci, V.; Artale, G.; Brunaccini, G.; Caravello, G.; Cataliotti, A.; Cosentino, V.; Cara, D.D.; Ferraro, M.; Guaiana, S.; Panzavecchia, N.; Sergi, F.; Tinè, G. Li-ion Battery Modeling and State of Charge Estimation Method Including the Hysteresis Effect. Electronics 2019, 8, 1324.

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