Run-to-Run Control for Active Balancing of Lithium Iron Phosphate Battery Packs

Xiaopeng TANG, Changfu ZOU*, Torsten WIK, Ke YAO, Yongxiao XIA, Yujie WANG, Duo YANG, Furong GAO

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

76 Citations (Scopus)

Abstract

Lithium iron phosphate battery packs are widely employed for energy storage in electrified vehicles and power grids. However, their flat voltage curves rendering the weakly observable state of charge are a critical stumbling block for charge equalization management. This paper focuses on the real-time active balancing of series-connected lithium iron phosphate batteries. In the absence of accurate in situ state information in the voltage plateau, a balancing current ratio (BCR) based algorithm is proposed for battery balancing. Then, BCR-based and voltage-based algorithms are fused, responsible for the balancing task within and beyond the voltage plateau, respectively. The balancing process is formulated as a batch-based run-to-run control problem, as the first time in the research area of battery management. The control algorithm acts in two timescales, including timewise control within each batch run and batchwise control at the end of each batch. Hardware-in-the-loop experiments demonstrate that the proposed balancing algorithm is able to release 97.1% of the theoretical capacity and can improve the capacity utilization by 5.7% from its benchmarking algorithm. Furthermore, the proposed algorithm can be coded in C language with the binary code in 118 328 bytes only and, thus, is readily implementable in real time.

Original languageEnglish
Article number8725519
Pages (from-to)1499-1512
Number of pages14
JournalIEEE Transactions on Power Electronics
Volume35
Issue number2
Early online date29 May 2019
DOIs
Publication statusPublished - Feb 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 1986-2012 IEEE.

Funding

Manuscript received October 25, 2018; revised March 5, 2019; accepted May 24, 2019. Date of publication May 28, 2019; date of current version November 12, 2019. This work was supported in part by the National Natural Science Foundation of China under Grant 61433005, in part by the Hong Kong Research Council under Grant 16207717, in part by the Guangdong Scientific and Technological Project under Grant 2017B010120002, and in part by the Swedish Energy Agency under Grant 42787-1. Recommended for publication by Associate Editor O. Trescases. (Corresponding authors: Changfu Zou and Furong Gao.) X. Tang is with the Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong (e-mail: [email protected]).

Keywords

  • Active battery balancing
  • battery management system
  • lithium-ion battery
  • run-to-run control

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