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Balancing-aware charging strategy for series-connected lithium-ion cells: A nonlinear model predictive control approach

Articolo
Data di Pubblicazione:
2020
Abstract:
Charge unbalancing in series-connected cells can lead to lower storage capacity and shorter battery life. Model-based optimization strategies have proven to be very effective in addressing this problem. In this article, we propose a general nonlinear model predictive control (NMPC) scheme for obtaining a balancing-aware optimal charging. The presented method relies on an electrochemical model, tailored for control purposes. In view of the possibility of practical implementation, the concepts are subsequently specialized for an easily implementable power supply scheme. Finally, the NMPC approach is validated on commercial cells using a detailed battery simulator, with sound evidence of its effectiveness both under the assumption of full state availability and in the presence of an observer scheme.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Battery management systems; cell balancing; lithium batteries; optimal control; predictive control
Elenco autori:
Pozzi, A.; Zambelli, M.; Ferrara, A.; Raimondo, D. M.
Autori di Ateneo:
FERRARA ANTONELLA
POZZI ANDREA
Link alla scheda completa:
https://iris.unipv.it/handle/11571/1347494
Pubblicato in:
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Journal
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