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.

Antonucci V., Artale G., Brunaccini G., Caravello G., Cataliotti A., Cosentino V., et al. (2019). Li-ion battery modeling and state of charge estimation method including the hysteresis effect. ELECTRONICS, 8(11) [10.3390/electronics8111324].

Li-ion battery modeling and state of charge estimation method including the hysteresis effect

Artale G.;Caravello G.;Cataliotti A.;Cosentino V.;Guaiana S.;Panzavecchia N.;
2019-01-01

Abstract

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.
Settore ING-INF/07 - Misure Elettriche E Elettroniche
https://www.mdpi.com/2079-9292/8/11/1324/pdf
Antonucci V., Artale G., Brunaccini G., Caravello G., Cataliotti A., Cosentino V., et al. (2019). Li-ion battery modeling and state of charge estimation method including the hysteresis effect. ELECTRONICS, 8(11) [10.3390/electronics8111324].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/384638
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