Cited by 110Advanced Battery Technologies ResearchAdvancements in Battery MaterialsPhotovoltaic System Optimization Techniques

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

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Tang, Xiaopeng, Zou, Changfu, Wik, Torsten, Yao, Ke, Xia, Yongxiao, Wang, Yujie, Yang, Duo, Gao, Furong·2020·IEEE Transactions on Power Electronics

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 accuratein situstate 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.

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References 38 · Cited by 110

Research works printed but not linked: 3

  1. [41]41. Mr. Tang has been a recipient of the National scholarship in 2015, and Hong Kong PhD Fellow- ship Scheme in 2017. He is also serveing as the reviewer for IEEE Transactions on Industrial Informatics, Applied Energy, and Energy Conversion and Management.
  2. [43]43. Dr. Zou was Guest Editor for IEEE Transactions on Industrial Informatics and IET Intelligent Transport Systems, and the recipient of Excellent Graduate Award of Beijing, Melbourne Research Scholarship, Scholarship of National ICT Australia, and Engineering & IT Melbourne Abroad Travel Scholarships.
  3. [44]44. Torsten Wik received the M.Sc. degree in chemical engineering (majoring in applied mathematics), the Licentiate of Engineering degree in control engineer- ing, the Ph.D. degree in environmental sciences (ma- joring in automatic control), and the Docent degree in electrical engineering from Chalmers University of Technology, Gothenburg, Sweden, in 1994, 1996, 1999, and 2004, respectively. From 2005 to 2007 he worked as a Senior Researcher with Volvo Technol- ogy, Gothenburg, Sweden, in control system design for combustion engine test cells, and combined re- former and fuel cells. He is a Professor and the Head of the Automatic Control group within the Department of Electrical Engineering, Chalmers University of Technology. His current research interests include optimal control, model reduction, and systems with model uncertainties, with applications to energy storage, environmental, and biological systems.

Authors
Tang, X., Zou, C., Wik, T., Yao, K., Xia, Y., Wang, Y., Yang, D., & Gao, F.
Affiliations
  • Hong Kong University of Science and Technology (HK)
  • Chalmers University of Technology (SE)
  • University of Science and Technology of China (CN)
Venue
IEEE Transactions on Power Electronics
Published
2020-02
Volume
35
Issue
2
Pages
1499-1512
ISSN
  • 0885-8993 (ISSN-L)
  • 1941-0107
OpenAlex
W2947926781
Cited by
110
References
38
Citations by year
2026: 6 · 2025: 16 · 2024: 16 · 2023: 17 · 2022: 16 · 2021: 17 · 2020: 17 · 2019: 5
FWCI
6.28
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Power Electronics (publishedVersion)
  • Chalmers Research (Chalmers University of Technology) (submittedVersion)
  • Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
Funders
  • National Natural Science Foundation of China (61433005)
  • Hong Kong Research Council (16207717)
  • Guangdong Scientific and Technological Project (2017B010120002)
  • Energimyndigheten (42787-1)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Photovoltaic System Optimization Techniques
Keywords
lithium iron phosphate batteries, battery balancing, run-to-run control, voltage plateau, state of charge estimation, series-connected battery packs, capacity utilization, battery management systems, real-time implementation, hardware-in-the-loop

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