Nonlinear Model-Predictive Optimal Control of an Active Cell-to-Cell Lithium-Ion Battery Pack Balancing Circuit

Ji Liu, Yang Chen, Hosam K. Fathy

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

This paper presents a model-predictive framework for the optimal control of active cell-to-cell balancing in a lithium-ion battery pack. The framework addresses the tradeoff between minimizing (i) the state of charge (SOC) imbalance between battery cells and (ii) the energy dissipated by balancing. There is a rich existing literature on the design and control of pack balancing circuits. However, to the best of the authors’ knowledge, the use of model-predictive optimal control for multi-objective active balancing remains relatively unexplored. We solve the balancing problem using nonlinear model predictive control (NMPC), and exploit the differential flatness of battery cell dynamics to implement NMPC efficiently using pseudo-spectral optimization. A simulation study shows the effectiveness of the proposed approach for a two-cell balancing problem, but the approach can be generalized to longer battery strings.

Original languageEnglish (US)
Pages (from-to)14483-14488
Number of pages6
JournalIFAC-PapersOnLine
Volume50
Issue number1
DOIs
StatePublished - Jul 2017

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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