Health-aware battery charging via iterative nonlinear optimal control syntheses

Minh Vu, Shen Zeng, Huazhen Fang

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

There is an increasing recognition of the critical importance of charging for the safety and life of lithium-ion batteries. This paper proposes a computationally efficient optimal control approach for the problem of real-time charging control. By incorporating specific constraints that must be satisfied during charging, a health-aware operation is promoted. To determine the optimal charging current in the given setup, a recently proposed iterative framework for solving constrained optimal control problems is leveraged. It is found that the resulting optimal charging currents can be expressed in terms of a piecewise-affine time-invariant state feedback law, which results in a high computational efficiency for the optimal control solution.

Original languageEnglish
Pages (from-to)12485-12490
Number of pages6
JournalIFAC-PapersOnLine
Volume53
DOIs
StatePublished - 2020
Event21st IFAC World Congress 2020 - Berlin, Germany
Duration: Jul 12 2020Jul 17 2020

Keywords

  • Computational methods
  • Emerging applications in battery control

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