Lifespan Maximization of Modular Battery Energy Storage Systems with State-of-Charge Imbalance Constraints

Enrique Nunes*, Gaowen Liang, Ezequiel Rodriguez, Glen G. Farivar, Josep Pou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Modular battery energy storage systems (MBESSs) are a promising technology to mitigate the intermittency of renewables. In practice, the batteries in an MBESS have disparities in their remaining useful life (RUL). Hence, the least healthy battery dictates the MBESS lifespan, which has motivated the development of RUL balancing methods. However, existing methods have not considered maximum lifespan extension, nor the SoC imbalance generated by RUL balancing, which can reduce the MBESS useable capacity. Hence, this article first develops a general optimality criterion for RUL balancing, that holds for any battery whose degradation rate is a strictly convex function of power. Accordingly, an optimal RUL balancing method is proposed to maximize the MBESS lifespan, while limiting the SoC imbalance and adhering to operational constraints through a model predictive control framework. Simulation and experimental results verify the effectiveness of the proposed method.

Original languageEnglish
JournalIEEE Transactions on Industrial Electronics
DOIs
Publication statusAccepted/In press - 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 1982-2012 IEEE.

ASJC Scopus Subject Areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Keywords

  • Model predictive control (MPC)
  • modular battery energy storage systems (MBESSs)
  • multilevel cascaded inverters
  • state-of-charge (SoC)
  • state-of-health (SoH)

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