Litcius/Paper detail

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

Pozzi A., Zambelli M., Ferrara A., Raimondo D. M.

2020ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/)42 citationsDOIOpen Access PDF

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.

Topics & Concepts

Model predictive controlNonlinear modelBattery (electricity)State of chargeNonlinear systemScheme (mathematics)Control theory (sociology)Computer scienceControl engineeringSeries (stratigraphy)Power (physics)EngineeringControl (management)Artificial intelligenceMathematicsBiologyQuantum mechanicsPaleontologyMathematical analysisPhysicsAdvanced Battery Technologies ResearchAdvancements in Battery MaterialsAdvanced battery technologies research