Battery management systems (BMSs) are responsible for controlling and monitoring battery operations. In order to be effective, BMSs rely on mathematical models. The parameters of these latter are usually obtained through an identification procedure which provides limited accuracy. In addition, only cell current and voltage are usually measurable. For this reason, the model states need to be estimated. In the following, we propose an interval state estimation of a lithium-ion cell when using an equivalent circuit model, taking into account bounded parametric uncertainty and measurement noise. Simulation results show the suitability of the proposed interval estimator to provide a tight enclosure of the states, which is essential for fault detection and model-based control of a lithium-ion cell.

Interval state estimation based on constraint propagation for a lithium-ion cell using an equivalent circuit model

Locatelli D.;Raimondo D. M.
2021-01-01

Abstract

Battery management systems (BMSs) are responsible for controlling and monitoring battery operations. In order to be effective, BMSs rely on mathematical models. The parameters of these latter are usually obtained through an identification procedure which provides limited accuracy. In addition, only cell current and voltage are usually measurable. For this reason, the model states need to be estimated. In the following, we propose an interval state estimation of a lithium-ion cell when using an equivalent circuit model, taking into account bounded parametric uncertainty and measurement noise. Simulation results show the suitability of the proposed interval estimator to provide a tight enclosure of the states, which is essential for fault detection and model-based control of a lithium-ion cell.
2021
IFAC-PapersOnLine
Esperti anonimi
Inglese
su invito
16th IFAC Symposium on Advanced Control of Chemical Processes, ADCHEM 2021
2021
ita
Internazionale
54
602
608
7
Elsevier B.V.
Battery management system; Interval-based nonlinear state estimation; Lithium-ion batteries; State of charge estimation
none
Locatelli, D.; Rego, B. S.; Raffo, G. V.; Raimondo, D. M.
273
info:eu-repo/semantics/conferenceObject
4
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1450689
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