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  • 标题:Health-aware battery charging via iterative nonlinear optimal control syntheses ⁎
  • 本地全文:下载
  • 作者:Minh Vu ; Shen Zeng ; Huazhen Fang
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:12485-12490
  • DOI:10.1016/j.ifacol.2020.12.1759
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThere 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.
  • 关键词:KeywordsEmerging applications in battery controlcomputational methods
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