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

Andrea Pozzi, Massimo Zambelli, Antonella Ferrara, Davide M. Raimondo

Risultato della ricerca: Contributo in rivistaArticolo in rivista

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.
Lingua originaleEnglish
pagine (da-a)1862-1877
Numero di pagine16
RivistaIEEE Transactions on Control Systems Technology
Volume28
DOI
Stato di pubblicazionePubblicato - 2020

Keywords

  • Battery management systems
  • cell balancing
  • predictive control
  • optimal control
  • lithium batteries

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