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A comparative review of prognostics-based reliability methods for Lithium batteries

  • Yinjiao Xing
  • , Nick Williard
  • , K. L. Tsui
  • , Michael Pecht*
  • *Corresponding author for this work

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Abstract

    This paper discusses some concerned failure problems in battery reliability and investigates the latest known methodologies in health monitoring and life prediction of batteries. We conduct comparative studies on these different measurements and methods for Lithium batteries. Through combining with their respective performance, we introduce a fusion prognostic method based on Physics-of-Failure (PoF) approach in conjunction with data-driven technology. The fusion approach not only thoroughly analyses the battery failure mechanism as a result of the change of physical and chemical characteristics, it also estimates a number of parameters with the aid of real-time surveillance. Furthermore, we present the specific frameworks to implement the cell life prediction and battery inconsistency monitoring. The estimated State-of-Charge (SOC), State-of-Health (SOH), State-of-Life (SOL) and the level of the battery inconsistency will present a more accurate and competitive prediction according to the proposed approach. © 2011 IEEE.
    Original languageEnglish
    Title of host publication2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011
    DOIs
    Publication statusPublished - 2011
    Event2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011 - Shenzhen, China
    Duration: 24 May 201125 May 2011

    Conference

    Conference2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011
    PlaceChina
    CityShenzhen
    Period24/05/1125/05/11

    Research Keywords

    • Battery
    • Fusion approach
    • PoF
    • Prognostics and Health Management (PHM)
    • SOC
    • SOH
    • SOL

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