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Development of an Experimental Testbed for Research in Lithium-Ion Battery Management Systems

Author

Listed:
  • Nima Lotfi

    (Mechanical and Aerospace Engineering Department, Missouri University of Science and Technology, Rolla, MO 65401, USA)

  • Poria Fajri

    (Electrical and Computer Engineering Department, Missouri University of Science and Technology, Rolla, MO 65401, USA)

  • Samuel Novosad

    (Electrical and Computer Engineering Department, Missouri University of Science and Technology, Rolla, MO 65401, USA)

  • Jack Savage

    (Electrical and Computer Engineering Department, Missouri University of Science and Technology, Rolla, MO 65401, USA)

  • Robert G. Landers

    (Mechanical and Aerospace Engineering Department, Missouri University of Science and Technology, Rolla, MO 65401, USA)

  • Mehdi Ferdowsi

    (Electrical and Computer Engineering Department, Missouri University of Science and Technology, Rolla, MO 65401, USA)

Abstract

Advanced electrochemical batteries are becoming an integral part of a wide range of applications from household and commercial to smart grid, transportation, and aerospace applications. Among different battery technologies, lithium-ion (Li-ion) batteries are growing more and more popular due to their high energy density, high galvanic potential, low self-discharge, low weight, and the fact that they have almost no memory effect. However, one of the main obstacles facing the widespread commercialization of Li-ion batteries is the design of reliable battery management systems (BMSs). An efficient BMS ensures electrical safety during operation, while increasing battery lifetime, capacity and thermal stability. Despite the need for extensive research in this field, the majority of research conducted on Li-ion battery packs and BMS are proprietary works conducted by manufacturers. The available literature, however, provides either general descriptions or detailed analysis of individual components of the battery system, and ignores addressing details of the overall system development. This paper addresses the development of an experimental research testbed for studying Li-ion batteries and their BMS design. The testbed can be configured in a variety of cell and pack architectures, allowing for a wide range of BMS monitoring, diagnostics, and control technologies to be tested and analyzed. General considerations that should be taken into account while designing Li-ion battery systems are reviewed and different technologies and challenges commonly encountered in Li-ion battery systems are investigated. This testbed facilitates future development of more practical and improved BMS technologies with the aim of increasing the safety, reliability, and efficiency of existing Li-ion battery systems. Experimental results of initial tests performed on the system are used to demonstrate some of the capabilities of the developed research testbed. To the authors’ knowledge, this is the first work that addresses, at the same time, the practical battery system development issues along with the theoretical and technological challenges from cell to pack level.

Suggested Citation

  • Nima Lotfi & Poria Fajri & Samuel Novosad & Jack Savage & Robert G. Landers & Mehdi Ferdowsi, 2013. "Development of an Experimental Testbed for Research in Lithium-Ion Battery Management Systems," Energies, MDPI, vol. 6(10), pages 1-28, October.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:10:p:5231-5258:d:29542
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    References listed on IDEAS

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    1. Noshin Omar & Mohamed Daowd & Omar Hegazy & Grietus Mulder & Jean-Marc Timmermans & Thierry Coosemans & Peter Van den Bossche & Joeri Van Mierlo, 2012. "Standardization Work for BEV and HEV Applications: Critical Appraisal of Recent Traction Battery Documents," Energies, MDPI, vol. 5(1), pages 1-19, January.
    2. Noshin Omar & Mohamed Daowd & Peter van den Bossche & Omar Hegazy & Jelle Smekens & Thierry Coosemans & Joeri van Mierlo, 2012. "Rechargeable Energy Storage Systems for Plug-in Hybrid Electric Vehicles—Assessment of Electrical Characteristics," Energies, MDPI, vol. 5(8), pages 1-37, August.
    3. Masatoshi Uno, 2013. "Single- and Double-Switch Cell Voltage Equalizers for Series-Connected Lithium-Ion Cells and Supercapacitors," Chapters, in: Ahmed F. Zobaa (ed.), Energy Storage - Technologies and Applications, IntechOpen.
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    Cited by:

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    5. Zhongxiao Liu & Zhe Li & Jianbo Zhang & Laisuo Su & Hao Ge, 2019. "Accurate and Efficient Estimation of Lithium-Ion Battery State of Charge with Alternate Adaptive Extended Kalman Filter and Ampere-Hour Counting Methods," Energies, MDPI, vol. 12(4), pages 1-15, February.
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    7. Kotub Uddin & Alessandro Picarelli & Christopher Lyness & Nigel Taylor & James Marco, 2014. "An Acausal Li-Ion Battery Pack Model for Automotive Applications," Energies, MDPI, vol. 7(9), pages 1-26, August.

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